Multi Index.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Australia</td>\n",
       "      <td>3.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>3.35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date    Country  Price in US Dollars\n",
       "0 2016-01-01  Argentina                 2.39\n",
       "1 2016-01-01  Australia                 3.74\n",
       "2 2016-01-01     Brazil                 3.35"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac = pd.read_csv('bigmac.csv' , parse_dates=[\"Date\"])\n",
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                   datetime64[ns]\n",
       "Country                        object\n",
       "Price in US Dollars           float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 652 entries, 0 to 651\n",
      "Data columns (total 3 columns):\n",
      "Date                   652 non-null datetime64[ns]\n",
      "Country                652 non-null object\n",
      "Price in US Dollars    652 non-null float64\n",
      "dtypes: datetime64[ns](1), float64(1), object(1)\n",
      "memory usage: 15.4+ KB\n"
     ]
    }
   ],
   "source": [
    "bigmac.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Create a multi index by .set_index() Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Australia</td>\n",
       "      <td>3.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>3.35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date    Country  Price in US Dollars\n",
       "0 2016-01-01  Argentina                 2.39\n",
       "1 2016-01-01  Australia                 3.74\n",
       "2 2016-01-01     Brazil                 3.35"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac = pd.read_csv('bigmac.csv' , parse_dates=[\"Date\"])\n",
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Australia</td>\n",
       "      <td>3.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>3.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Britain</td>\n",
       "      <td>4.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Canada</td>\n",
       "      <td>4.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Chile</td>\n",
       "      <td>2.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>China</td>\n",
       "      <td>2.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>2.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>4.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>2.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>4.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Egypt</td>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Euro area</td>\n",
       "      <td>4.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>2.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>3.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>India</td>\n",
       "      <td>1.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Indonesia</td>\n",
       "      <td>2.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Israel</td>\n",
       "      <td>4.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Japan</td>\n",
       "      <td>3.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>1.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>2.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>3.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Norway</td>\n",
       "      <td>5.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Pakistan</td>\n",
       "      <td>2.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Peru</td>\n",
       "      <td>2.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Philippines</td>\n",
       "      <td>2.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Russia</td>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Saudi Arabia</td>\n",
       "      <td>3.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>3.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>1.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>3.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Indonesia</td>\n",
       "      <td>2.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Israel</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Japan</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Latvia</td>\n",
       "      <td>3.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Lithuania</td>\n",
       "      <td>2.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>2.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>3.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Norway</td>\n",
       "      <td>7.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Pakistan</td>\n",
       "      <td>2.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Peru</td>\n",
       "      <td>2.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Philippines</td>\n",
       "      <td>2.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Russia</td>\n",
       "      <td>2.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Saudi Arabia</td>\n",
       "      <td>2.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>3.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>2.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>South Korea</td>\n",
       "      <td>2.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Sri Lanka</td>\n",
       "      <td>1.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>5.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>6.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Taiwan</td>\n",
       "      <td>2.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>2.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>3.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>UAE</td>\n",
       "      <td>2.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Ukraine</td>\n",
       "      <td>1.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>United States</td>\n",
       "      <td>3.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>3.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>652 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Country  Price in US Dollars\n",
       "Date                                           \n",
       "2016-01-01       Argentina                 2.39\n",
       "2016-01-01       Australia                 3.74\n",
       "2016-01-01          Brazil                 3.35\n",
       "2016-01-01         Britain                 4.22\n",
       "2016-01-01          Canada                 4.14\n",
       "2016-01-01           Chile                 2.94\n",
       "2016-01-01           China                 2.68\n",
       "2016-01-01        Colombia                 2.43\n",
       "2016-01-01      Costa Rica                 4.02\n",
       "2016-01-01  Czech Republic                 2.98\n",
       "2016-01-01         Denmark                 4.32\n",
       "2016-01-01           Egypt                 2.16\n",
       "2016-01-01       Euro area                 4.00\n",
       "2016-01-01       Hong Kong                 2.48\n",
       "2016-01-01         Hungary                 3.08\n",
       "2016-01-01           India                 1.90\n",
       "2016-01-01       Indonesia                 2.19\n",
       "2016-01-01          Israel                 4.29\n",
       "2016-01-01           Japan                 3.12\n",
       "2016-01-01        Malaysia                 1.82\n",
       "2016-01-01          Mexico                 2.81\n",
       "2016-01-01     New Zealand                 3.91\n",
       "2016-01-01          Norway                 5.21\n",
       "2016-01-01        Pakistan                 2.86\n",
       "2016-01-01            Peru                 2.93\n",
       "2016-01-01     Philippines                 2.79\n",
       "2016-01-01          Poland                 2.37\n",
       "2016-01-01          Russia                 1.53\n",
       "2016-01-01    Saudi Arabia                 3.20\n",
       "2016-01-01       Singapore                 3.27\n",
       "...                    ...                  ...\n",
       "2010-01-01       Hong Kong                 1.91\n",
       "2010-01-01         Hungary                 3.86\n",
       "2010-01-01       Indonesia                 2.24\n",
       "2010-01-01          Israel                 3.99\n",
       "2010-01-01           Japan                 3.50\n",
       "2010-01-01          Latvia                 3.09\n",
       "2010-01-01       Lithuania                 2.87\n",
       "2010-01-01        Malaysia                 2.08\n",
       "2010-01-01          Mexico                 2.50\n",
       "2010-01-01     New Zealand                 3.61\n",
       "2010-01-01          Norway                 7.02\n",
       "2010-01-01        Pakistan                 2.42\n",
       "2010-01-01            Peru                 2.81\n",
       "2010-01-01     Philippines                 2.21\n",
       "2010-01-01          Poland                 2.86\n",
       "2010-01-01          Russia                 2.34\n",
       "2010-01-01    Saudi Arabia                 2.67\n",
       "2010-01-01       Singapore                 3.19\n",
       "2010-01-01    South Africa                 2.46\n",
       "2010-01-01     South Korea                 2.98\n",
       "2010-01-01       Sri Lanka                 1.83\n",
       "2010-01-01          Sweden                 5.51\n",
       "2010-01-01     Switzerland                 6.30\n",
       "2010-01-01          Taiwan                 2.36\n",
       "2010-01-01        Thailand                 2.11\n",
       "2010-01-01          Turkey                 3.83\n",
       "2010-01-01             UAE                 2.99\n",
       "2010-01-01         Ukraine                 1.83\n",
       "2010-01-01   United States                 3.58\n",
       "2010-01-01         Uruguay                 3.32\n",
       "\n",
       "[652 rows x 2 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.set_index(\"Date\") # one col as index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "bigmac.set_index(keys = [\"Date\",\"Country\"] , inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2016-01-01</th>\n",
       "      <th>Argentina</th>\n",
       "      <td>2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>3.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>3.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Britain</th>\n",
       "      <td>4.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>4.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Price in US Dollars\n",
       "Date       Country                       \n",
       "2016-01-01 Argentina                 2.39\n",
       "           Australia                 3.74\n",
       "           Brazil                    3.35\n",
       "           Britain                   4.22\n",
       "           Canada                    4.14"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "bigmac.sort_index(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2010-01-01</th>\n",
       "      <th>Argentina</th>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>3.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Price in US Dollars\n",
       "Date       Country                       \n",
       "2010-01-01 Argentina                 1.84\n",
       "           Australia                 3.98\n",
       "           Brazil                    4.76"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultiIndex(levels=[[2010-01-01 00:00:00, 2010-07-01 00:00:00, 2011-07-01 00:00:00, 2012-01-01 00:00:00, 2012-07-01 00:00:00, 2013-01-01 00:00:00, 2013-07-01 00:00:00, 2014-01-01 00:00:00, 2014-07-01 00:00:00, 2015-01-01 00:00:00, 2015-07-01 00:00:00, 2016-01-01 00:00:00], ['Argentina', 'Australia', 'Austria', 'Belgium', 'Brazil', 'Britain', 'Canada', 'Chile', 'China', 'Colombia', 'Costa Rica', 'Czech Republic', 'Denmark', 'Egypt', 'Estonia', 'Euro area', 'Finland', 'France', 'Germany', 'Greece', 'Hong Kong', 'Hungary', 'India', 'Indonesia', 'Ireland', 'Israel', 'Italy', 'Japan', 'Latvia', 'Lithuania', 'Malaysia', 'Mexico', 'Netherlands', 'New Zealand', 'Norway', 'Pakistan', 'Peru', 'Philippines', 'Poland', 'Portugal', 'Russia', 'Saudi Arabia', 'Singapore', 'South Africa', 'South Korea', 'Spain', 'Sri Lanka', 'Sweden', 'Switzerland', 'Taiwan', 'Thailand', 'Turkey', 'UAE', 'Ukraine', 'United States', 'Uruguay', 'Venezuela', 'Vietnam']],\n",
       "           labels=[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11], [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 20, 21, 23, 25, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 20, 21, 23, 25, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57]],\n",
       "           names=['Date', 'Country'])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FrozenList(['Date', 'Country'])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.index.names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp('2010-01-01 00:00:00'), 'Argentina')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.index[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The .get_level_values() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2010-01-01</th>\n",
       "      <th>Argentina</th>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>3.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Price in US Dollars\n",
       "Date       Country                       \n",
       "2010-01-01 Argentina                 1.84\n",
       "           Australia                 3.98\n",
       "           Brazil                    4.76"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac = pd.read_csv('bigmac.csv' , parse_dates=[\"Date\"] , index_col= [\"Date\",\"Country\"])\n",
    "bigmac.sort_index(inplace=True)\n",
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2010-01-01', '2010-01-01', '2010-01-01', '2010-01-01',\n",
       "               '2010-01-01', '2010-01-01', '2010-01-01', '2010-01-01',\n",
       "               '2010-01-01', '2010-01-01',\n",
       "               ...\n",
       "               '2016-01-01', '2016-01-01', '2016-01-01', '2016-01-01',\n",
       "               '2016-01-01', '2016-01-01', '2016-01-01', '2016-01-01',\n",
       "               '2016-01-01', '2016-01-01'],\n",
       "              dtype='datetime64[ns]', name='Date', length=652, freq=None)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.index.get_level_values(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2010-01-01', '2010-01-01', '2010-01-01', '2010-01-01',\n",
       "               '2010-01-01', '2010-01-01', '2010-01-01', '2010-01-01',\n",
       "               '2010-01-01', '2010-01-01',\n",
       "               ...\n",
       "               '2016-01-01', '2016-01-01', '2016-01-01', '2016-01-01',\n",
       "               '2016-01-01', '2016-01-01', '2016-01-01', '2016-01-01',\n",
       "               '2016-01-01', '2016-01-01'],\n",
       "              dtype='datetime64[ns]', name='Date', length=652, freq=None)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.index.get_level_values(\"Date\") # Passing 0 and \"Date\" gives same result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Argentina', 'Australia', 'Brazil', 'Britain', 'Canada', 'Chile',\n",
       "       'China', 'Colombia', 'Costa Rica', 'Czech Republic',\n",
       "       ...\n",
       "       'Switzerland', 'Taiwan', 'Thailand', 'Turkey', 'UAE', 'Ukraine',\n",
       "       'United States', 'Uruguay', 'Venezuela', 'Vietnam'],\n",
       "      dtype='object', name='Country', length=652)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.index.get_level_values(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Argentina', 'Australia', 'Brazil', 'Britain', 'Canada', 'Chile',\n",
       "       'China', 'Colombia', 'Costa Rica', 'Czech Republic',\n",
       "       ...\n",
       "       'Switzerland', 'Taiwan', 'Thailand', 'Turkey', 'UAE', 'Ukraine',\n",
       "       'United States', 'Uruguay', 'Venezuela', 'Vietnam'],\n",
       "      dtype='object', name='Country', length=652)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.index.get_level_values(\"Country\") # Passing 1 and \"Country\" gives same result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Index .set_names() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2010-01-01</th>\n",
       "      <th>Argentina</th>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>3.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Price in US Dollars\n",
       "Date       Country                       \n",
       "2010-01-01 Argentina                 1.84\n",
       "           Australia                 3.98\n",
       "           Brazil                    4.76"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac = pd.read_csv('bigmac.csv' , parse_dates=[\"Date\"] , index_col= [\"Date\",\"Country\"])\n",
    "bigmac.sort_index(inplace=True)\n",
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "bigmac.index.set_names([\"Day\" , \"Location\"] , inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day</th>\n",
       "      <th>Location</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2010-01-01</th>\n",
       "      <th>Argentina</th>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>3.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Price in US Dollars\n",
       "Day        Location                      \n",
       "2010-01-01 Argentina                 1.84\n",
       "           Australia                 3.98\n",
       "           Brazil                    4.76"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sort index() method in pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2010-01-01</th>\n",
       "      <th>Argentina</th>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>3.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Price in US Dollars\n",
       "Date       Country                       \n",
       "2010-01-01 Argentina                 1.84\n",
       "           Australia                 3.98\n",
       "           Brazil                    4.76"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac = pd.read_csv('bigmac.csv' , parse_dates=[\"Date\"] , index_col= [\"Date\",\"Country\"])\n",
    "bigmac.sort_index(inplace=True)\n",
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "bigmac.sort_index(ascending=[True,False] , inplace=True) \n",
    "# Prints date index in ascending order and country in descending order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2010-01-01</th>\n",
       "      <th>Uruguay</th>\n",
       "      <td>3.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>3.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ukraine</th>\n",
       "      <td>1.83</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Price in US Dollars\n",
       "Date       Country                           \n",
       "2010-01-01 Uruguay                       3.32\n",
       "           United States                 3.58\n",
       "           Ukraine                       1.83"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extract rows from Multi Index data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Price in US Dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2010-01-01</th>\n",
       "      <th>Argentina</th>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>3.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Price in US Dollars\n",
       "Date       Country                       \n",
       "2010-01-01 Argentina                 1.84\n",
       "           Australia                 3.98\n",
       "           Brazil                    4.76"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac = pd.read_csv('bigmac.csv' , parse_dates=[\"Date\"] , index_col= [\"Date\",\"Country\"])\n",
    "bigmac.sort_index(inplace=True)\n",
    "bigmac.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date        Country\n",
       "2010-01-01  Brazil     4.76\n",
       "Name: Price in US Dollars, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.loc[(\"2010-01-01\",\"Brazil\"), \"Price in US Dollars\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kmuthu2\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.83"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigmac.ix[(\"2010-01-01\" , \"China\" ), \"Price in US Dollars\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The unstack() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "      <th>GDP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Arab World</th>\n",
       "      <th>2015</th>\n",
       "      <td>392022276.0</td>\n",
       "      <td>2.530102e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>384222592.0</td>\n",
       "      <td>2.873600e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>376504253.0</td>\n",
       "      <td>2.846994e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>368802611.0</td>\n",
       "      <td>2.773270e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>361031820.0</td>\n",
       "      <td>2.497945e+12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Population           GDP\n",
       "country    year                           \n",
       "Arab World 2015  392022276.0  2.530102e+12\n",
       "           2014  384222592.0  2.873600e+12\n",
       "           2013  376504253.0  2.846994e+12\n",
       "           2012  368802611.0  2.773270e+12\n",
       "           2011  361031820.0  2.497945e+12"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world = pd.read_csv(\"worldstats.csv\",index_col=[\"country\",\"year\"])\n",
    "world.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = world.stack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "country     year            \n",
       "Arab World  2015  Population    3.920223e+08\n",
       "                  GDP           2.530102e+12\n",
       "            2014  Population    3.842226e+08\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
       "    .dataframe thead tr th {\n",
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       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"10\" halign=\"left\">Population</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">GDP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>1966</th>\n",
       "      <th>1967</th>\n",
       "      <th>1968</th>\n",
       "      <th>1969</th>\n",
       "      <th>...</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>8.994793e+06</td>\n",
       "      <td>9.164945e+06</td>\n",
       "      <td>9.343772e+06</td>\n",
       "      <td>9.531555e+06</td>\n",
       "      <td>9.728645e+06</td>\n",
       "      <td>9.935358e+06</td>\n",
       "      <td>1.014884e+07</td>\n",
       "      <td>1.036860e+07</td>\n",
       "      <td>1.059979e+07</td>\n",
       "      <td>1.084951e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>7.057598e+09</td>\n",
       "      <td>9.843842e+09</td>\n",
       "      <td>1.019053e+10</td>\n",
       "      <td>1.248694e+10</td>\n",
       "      <td>1.593680e+10</td>\n",
       "      <td>1.793024e+10</td>\n",
       "      <td>2.053654e+10</td>\n",
       "      <td>2.004633e+10</td>\n",
       "      <td>2.005019e+10</td>\n",
       "      <td>1.919944e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.992642e+09</td>\n",
       "      <td>1.070101e+10</td>\n",
       "      <td>1.288135e+10</td>\n",
       "      <td>1.204421e+10</td>\n",
       "      <td>1.192695e+10</td>\n",
       "      <td>1.289087e+10</td>\n",
       "      <td>1.231978e+10</td>\n",
       "      <td>1.278103e+10</td>\n",
       "      <td>1.327796e+10</td>\n",
       "      <td>1.145560e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>1.112489e+07</td>\n",
       "      <td>1.140486e+07</td>\n",
       "      <td>1.169015e+07</td>\n",
       "      <td>1.198513e+07</td>\n",
       "      <td>1.229597e+07</td>\n",
       "      <td>1.262695e+07</td>\n",
       "      <td>1.298027e+07</td>\n",
       "      <td>1.335420e+07</td>\n",
       "      <td>1.374438e+07</td>\n",
       "      <td>1.414444e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>1.170273e+11</td>\n",
       "      <td>1.349771e+11</td>\n",
       "      <td>1.710007e+11</td>\n",
       "      <td>1.372110e+11</td>\n",
       "      <td>1.612073e+11</td>\n",
       "      <td>2.000131e+11</td>\n",
       "      <td>2.090474e+11</td>\n",
       "      <td>2.097035e+11</td>\n",
       "      <td>2.135185e+11</td>\n",
       "      <td>1.668386e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.536452e+09</td>\n",
       "      <td>4.010785e+09</td>\n",
       "      <td>4.001349e+09</td>\n",
       "      <td>3.649863e+09</td>\n",
       "      <td>3.346317e+09</td>\n",
       "      <td>3.427236e+09</td>\n",
       "      <td>3.146178e+09</td>\n",
       "      <td>3.249101e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.178948e+10</td>\n",
       "      <td>6.044892e+10</td>\n",
       "      <td>8.417803e+10</td>\n",
       "      <td>7.549238e+10</td>\n",
       "      <td>8.247091e+10</td>\n",
       "      <td>1.041159e+11</td>\n",
       "      <td>1.153984e+11</td>\n",
       "      <td>1.249121e+11</td>\n",
       "      <td>1.267751e+11</td>\n",
       "      <td>1.026431e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Antigua and Barbuda</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.135144e+09</td>\n",
       "      <td>1.289254e+09</td>\n",
       "      <td>1.347350e+09</td>\n",
       "      <td>1.206410e+09</td>\n",
       "      <td>1.135539e+09</td>\n",
       "      <td>1.129918e+09</td>\n",
       "      <td>1.204713e+09</td>\n",
       "      <td>1.200588e+09</td>\n",
       "      <td>1.220976e+09</td>\n",
       "      <td>1.297285e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arab World</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.155571e+08</td>\n",
       "      <td>1.188239e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>2.530102e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.128768e+07</td>\n",
       "      <td>2.162184e+07</td>\n",
       "      <td>2.195393e+07</td>\n",
       "      <td>2.228339e+07</td>\n",
       "      <td>2.260875e+07</td>\n",
       "      <td>2.293220e+07</td>\n",
       "      <td>2.326127e+07</td>\n",
       "      <td>2.360599e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.626665e+11</td>\n",
       "      <td>3.293175e+11</td>\n",
       "      <td>4.037820e+11</td>\n",
       "      <td>3.766279e+11</td>\n",
       "      <td>4.616402e+11</td>\n",
       "      <td>5.578902e+11</td>\n",
       "      <td>6.043785e+11</td>\n",
       "      <td>6.239320e+11</td>\n",
       "      <td>5.480549e+11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armenia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.384452e+09</td>\n",
       "      <td>9.206302e+09</td>\n",
       "      <td>1.166204e+10</td>\n",
       "      <td>8.647937e+09</td>\n",
       "      <td>9.260285e+09</td>\n",
       "      <td>1.014211e+10</td>\n",
       "      <td>1.061932e+10</td>\n",
       "      <td>1.112147e+10</td>\n",
       "      <td>1.164444e+10</td>\n",
       "      <td>1.056140e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aruba</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.421475e+09</td>\n",
       "      <td>2.623726e+09</td>\n",
       "      <td>2.791961e+09</td>\n",
       "      <td>2.498933e+09</td>\n",
       "      <td>2.467704e+09</td>\n",
       "      <td>2.584464e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>1.027648e+07</td>\n",
       "      <td>1.048300e+07</td>\n",
       "      <td>1.074200e+07</td>\n",
       "      <td>1.095000e+07</td>\n",
       "      <td>1.116700e+07</td>\n",
       "      <td>1.138800e+07</td>\n",
       "      <td>1.165100e+07</td>\n",
       "      <td>1.179900e+07</td>\n",
       "      <td>1.200900e+07</td>\n",
       "      <td>1.226300e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>7.468808e+11</td>\n",
       "      <td>8.530533e+11</td>\n",
       "      <td>1.054558e+12</td>\n",
       "      <td>9.265638e+11</td>\n",
       "      <td>1.142251e+12</td>\n",
       "      <td>1.389919e+12</td>\n",
       "      <td>1.537478e+12</td>\n",
       "      <td>1.563951e+12</td>\n",
       "      <td>1.454675e+12</td>\n",
       "      <td>1.339539e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>7.047539e+06</td>\n",
       "      <td>7.086299e+06</td>\n",
       "      <td>7.129864e+06</td>\n",
       "      <td>7.175811e+06</td>\n",
       "      <td>7.223801e+06</td>\n",
       "      <td>7.270889e+06</td>\n",
       "      <td>7.322066e+06</td>\n",
       "      <td>7.376998e+06</td>\n",
       "      <td>7.415403e+06</td>\n",
       "      <td>7.441055e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.343094e+11</td>\n",
       "      <td>3.864590e+11</td>\n",
       "      <td>4.276115e+11</td>\n",
       "      <td>3.975943e+11</td>\n",
       "      <td>3.902351e+11</td>\n",
       "      <td>4.290107e+11</td>\n",
       "      <td>4.073730e+11</td>\n",
       "      <td>4.286986e+11</td>\n",
       "      <td>4.368875e+11</td>\n",
       "      <td>3.740559e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.098302e+10</td>\n",
       "      <td>3.305034e+10</td>\n",
       "      <td>4.885248e+10</td>\n",
       "      <td>4.429149e+10</td>\n",
       "      <td>5.290270e+10</td>\n",
       "      <td>6.595163e+10</td>\n",
       "      <td>6.873091e+10</td>\n",
       "      <td>7.356048e+10</td>\n",
       "      <td>7.519801e+10</td>\n",
       "      <td>5.304714e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahamas, The</th>\n",
       "      <td>1.095260e+05</td>\n",
       "      <td>1.151080e+05</td>\n",
       "      <td>1.210830e+05</td>\n",
       "      <td>1.273310e+05</td>\n",
       "      <td>1.336970e+05</td>\n",
       "      <td>1.400490e+05</td>\n",
       "      <td>1.463640e+05</td>\n",
       "      <td>1.526070e+05</td>\n",
       "      <td>1.586290e+05</td>\n",
       "      <td>1.642500e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>7.965588e+09</td>\n",
       "      <td>8.318996e+09</td>\n",
       "      <td>8.246650e+09</td>\n",
       "      <td>7.820420e+09</td>\n",
       "      <td>7.909580e+09</td>\n",
       "      <td>7.889750e+09</td>\n",
       "      <td>8.234470e+09</td>\n",
       "      <td>8.431750e+09</td>\n",
       "      <td>8.510500e+09</td>\n",
       "      <td>8.884441e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.850505e+10</td>\n",
       "      <td>2.173000e+10</td>\n",
       "      <td>2.571088e+10</td>\n",
       "      <td>2.293822e+10</td>\n",
       "      <td>2.571327e+10</td>\n",
       "      <td>2.904407e+10</td>\n",
       "      <td>3.075646e+10</td>\n",
       "      <td>3.289761e+10</td>\n",
       "      <td>3.385106e+10</td>\n",
       "      <td>3.222149e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladesh</th>\n",
       "      <td>4.820070e+07</td>\n",
       "      <td>4.959361e+07</td>\n",
       "      <td>5.103060e+07</td>\n",
       "      <td>5.253260e+07</td>\n",
       "      <td>5.412939e+07</td>\n",
       "      <td>5.583502e+07</td>\n",
       "      <td>5.767553e+07</td>\n",
       "      <td>5.962529e+07</td>\n",
       "      <td>6.158552e+07</td>\n",
       "      <td>6.342257e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>7.181908e+10</td>\n",
       "      <td>7.961189e+10</td>\n",
       "      <td>9.163128e+10</td>\n",
       "      <td>1.024778e+11</td>\n",
       "      <td>1.152791e+11</td>\n",
       "      <td>1.286379e+11</td>\n",
       "      <td>1.333557e+11</td>\n",
       "      <td>1.499905e+11</td>\n",
       "      <td>1.728855e+11</td>\n",
       "      <td>1.950787e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barbados</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.303500e+09</td>\n",
       "      <td>4.546000e+09</td>\n",
       "      <td>4.595000e+09</td>\n",
       "      <td>4.602000e+09</td>\n",
       "      <td>4.445500e+09</td>\n",
       "      <td>4.358000e+09</td>\n",
       "      <td>4.313000e+09</td>\n",
       "      <td>4.281000e+09</td>\n",
       "      <td>4.354500e+09</td>\n",
       "      <td>4.451000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belarus</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.696182e+10</td>\n",
       "      <td>4.527575e+10</td>\n",
       "      <td>6.075218e+10</td>\n",
       "      <td>4.920866e+10</td>\n",
       "      <td>5.522093e+10</td>\n",
       "      <td>5.973459e+10</td>\n",
       "      <td>6.361545e+10</td>\n",
       "      <td>7.309762e+10</td>\n",
       "      <td>7.610396e+10</td>\n",
       "      <td>5.460896e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>9.153489e+06</td>\n",
       "      <td>9.183948e+06</td>\n",
       "      <td>9.220578e+06</td>\n",
       "      <td>9.289770e+06</td>\n",
       "      <td>9.378113e+06</td>\n",
       "      <td>9.463667e+06</td>\n",
       "      <td>9.527807e+06</td>\n",
       "      <td>9.580991e+06</td>\n",
       "      <td>9.618756e+06</td>\n",
       "      <td>9.646032e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>4.098131e+11</td>\n",
       "      <td>4.718218e+11</td>\n",
       "      <td>5.186260e+11</td>\n",
       "      <td>4.845527e+11</td>\n",
       "      <td>4.835775e+11</td>\n",
       "      <td>5.269753e+11</td>\n",
       "      <td>4.978160e+11</td>\n",
       "      <td>5.213705e+11</td>\n",
       "      <td>5.312348e+11</td>\n",
       "      <td>4.540390e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belize</th>\n",
       "      <td>9.206800e+04</td>\n",
       "      <td>9.470100e+04</td>\n",
       "      <td>9.738900e+04</td>\n",
       "      <td>1.001660e+05</td>\n",
       "      <td>1.030700e+05</td>\n",
       "      <td>1.061210e+05</td>\n",
       "      <td>1.093440e+05</td>\n",
       "      <td>1.126990e+05</td>\n",
       "      <td>1.160610e+05</td>\n",
       "      <td>1.192600e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.217442e+09</td>\n",
       "      <td>1.290543e+09</td>\n",
       "      <td>1.368625e+09</td>\n",
       "      <td>1.336957e+09</td>\n",
       "      <td>1.397113e+09</td>\n",
       "      <td>1.486712e+09</td>\n",
       "      <td>1.573619e+09</td>\n",
       "      <td>1.625828e+09</td>\n",
       "      <td>1.717862e+09</td>\n",
       "      <td>1.763000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benin</th>\n",
       "      <td>2.431620e+06</td>\n",
       "      <td>2.466002e+06</td>\n",
       "      <td>2.503232e+06</td>\n",
       "      <td>2.543335e+06</td>\n",
       "      <td>2.586362e+06</td>\n",
       "      <td>2.632360e+06</td>\n",
       "      <td>2.681382e+06</td>\n",
       "      <td>2.733450e+06</td>\n",
       "      <td>2.788551e+06</td>\n",
       "      <td>2.846652e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>5.142381e+09</td>\n",
       "      <td>5.969535e+09</td>\n",
       "      <td>7.132787e+09</td>\n",
       "      <td>7.097199e+09</td>\n",
       "      <td>6.970241e+09</td>\n",
       "      <td>7.814081e+09</td>\n",
       "      <td>8.117101e+09</td>\n",
       "      <td>9.110801e+09</td>\n",
       "      <td>9.575357e+09</td>\n",
       "      <td>8.476125e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bermuda</th>\n",
       "      <td>4.440000e+04</td>\n",
       "      <td>4.550000e+04</td>\n",
       "      <td>4.660000e+04</td>\n",
       "      <td>4.770000e+04</td>\n",
       "      <td>4.890000e+04</td>\n",
       "      <td>5.010000e+04</td>\n",
       "      <td>5.100000e+04</td>\n",
       "      <td>5.200000e+04</td>\n",
       "      <td>5.300000e+04</td>\n",
       "      <td>5.400000e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>5.414299e+09</td>\n",
       "      <td>5.895048e+09</td>\n",
       "      <td>6.109928e+09</td>\n",
       "      <td>5.806378e+09</td>\n",
       "      <td>5.744414e+09</td>\n",
       "      <td>5.550771e+09</td>\n",
       "      <td>5.537537e+09</td>\n",
       "      <td>5.573710e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bhutan</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.977315e+08</td>\n",
       "      <td>1.196092e+09</td>\n",
       "      <td>1.258332e+09</td>\n",
       "      <td>1.264758e+09</td>\n",
       "      <td>1.585473e+09</td>\n",
       "      <td>1.820208e+09</td>\n",
       "      <td>1.823692e+09</td>\n",
       "      <td>1.798334e+09</td>\n",
       "      <td>1.958820e+09</td>\n",
       "      <td>1.962222e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bolivia</th>\n",
       "      <td>3.693451e+06</td>\n",
       "      <td>3.764815e+06</td>\n",
       "      <td>3.838096e+06</td>\n",
       "      <td>3.913397e+06</td>\n",
       "      <td>3.990855e+06</td>\n",
       "      <td>4.070590e+06</td>\n",
       "      <td>4.152665e+06</td>\n",
       "      <td>4.237126e+06</td>\n",
       "      <td>4.324066e+06</td>\n",
       "      <td>4.413584e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.145187e+10</td>\n",
       "      <td>1.312018e+10</td>\n",
       "      <td>1.667432e+10</td>\n",
       "      <td>1.733999e+10</td>\n",
       "      <td>1.964963e+10</td>\n",
       "      <td>2.396303e+10</td>\n",
       "      <td>2.708450e+10</td>\n",
       "      <td>3.065934e+10</td>\n",
       "      <td>3.299619e+10</td>\n",
       "      <td>3.319682e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bosnia and Herzegovina</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.286652e+10</td>\n",
       "      <td>1.577642e+10</td>\n",
       "      <td>1.910145e+10</td>\n",
       "      <td>1.760063e+10</td>\n",
       "      <td>1.716312e+10</td>\n",
       "      <td>1.862802e+10</td>\n",
       "      <td>1.720737e+10</td>\n",
       "      <td>1.815429e+10</td>\n",
       "      <td>1.852148e+10</td>\n",
       "      <td>1.599539e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Botswana</th>\n",
       "      <td>5.240290e+05</td>\n",
       "      <td>5.365760e+05</td>\n",
       "      <td>5.499900e+05</td>\n",
       "      <td>5.643160e+05</td>\n",
       "      <td>5.795600e+05</td>\n",
       "      <td>5.957410e+05</td>\n",
       "      <td>6.129500e+05</td>\n",
       "      <td>6.312760e+05</td>\n",
       "      <td>6.507300e+05</td>\n",
       "      <td>6.713050e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.012694e+10</td>\n",
       "      <td>1.093905e+10</td>\n",
       "      <td>1.094507e+10</td>\n",
       "      <td>1.026713e+10</td>\n",
       "      <td>1.278666e+10</td>\n",
       "      <td>1.568293e+10</td>\n",
       "      <td>1.468625e+10</td>\n",
       "      <td>1.481480e+10</td>\n",
       "      <td>1.588020e+10</td>\n",
       "      <td>1.439086e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>7.249358e+07</td>\n",
       "      <td>7.470689e+07</td>\n",
       "      <td>7.700755e+07</td>\n",
       "      <td>7.936845e+07</td>\n",
       "      <td>8.175180e+07</td>\n",
       "      <td>8.413006e+07</td>\n",
       "      <td>8.649499e+07</td>\n",
       "      <td>8.885368e+07</td>\n",
       "      <td>9.121301e+07</td>\n",
       "      <td>9.358575e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>1.107640e+12</td>\n",
       "      <td>1.397084e+12</td>\n",
       "      <td>1.695825e+12</td>\n",
       "      <td>1.667020e+12</td>\n",
       "      <td>2.208872e+12</td>\n",
       "      <td>2.614573e+12</td>\n",
       "      <td>2.460658e+12</td>\n",
       "      <td>2.465774e+12</td>\n",
       "      <td>2.417046e+12</td>\n",
       "      <td>1.774725e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brunei Darussalam</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.025250e+05</td>\n",
       "      <td>1.074500e+05</td>\n",
       "      <td>1.126800e+05</td>\n",
       "      <td>1.181760e+05</td>\n",
       "      <td>1.238750e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.147070e+10</td>\n",
       "      <td>1.224769e+10</td>\n",
       "      <td>1.439310e+10</td>\n",
       "      <td>1.073237e+10</td>\n",
       "      <td>1.237062e+10</td>\n",
       "      <td>1.669153e+10</td>\n",
       "      <td>1.695351e+10</td>\n",
       "      <td>1.611069e+10</td>\n",
       "      <td>1.710466e+10</td>\n",
       "      <td>1.549204e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bulgaria</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.430445e+10</td>\n",
       "      <td>4.476573e+10</td>\n",
       "      <td>5.466664e+10</td>\n",
       "      <td>5.178345e+10</td>\n",
       "      <td>4.993917e+10</td>\n",
       "      <td>5.694984e+10</td>\n",
       "      <td>5.357667e+10</td>\n",
       "      <td>5.562636e+10</td>\n",
       "      <td>5.671705e+10</td>\n",
       "      <td>4.895296e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burkina Faso</th>\n",
       "      <td>4.829291e+06</td>\n",
       "      <td>4.894578e+06</td>\n",
       "      <td>4.960325e+06</td>\n",
       "      <td>5.027818e+06</td>\n",
       "      <td>5.098892e+06</td>\n",
       "      <td>5.174869e+06</td>\n",
       "      <td>5.256363e+06</td>\n",
       "      <td>5.343020e+06</td>\n",
       "      <td>5.434040e+06</td>\n",
       "      <td>5.528172e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>5.844670e+09</td>\n",
       "      <td>6.771278e+09</td>\n",
       "      <td>8.369637e+09</td>\n",
       "      <td>8.369175e+09</td>\n",
       "      <td>8.979967e+09</td>\n",
       "      <td>1.072406e+10</td>\n",
       "      <td>1.116606e+10</td>\n",
       "      <td>1.211417e+10</td>\n",
       "      <td>1.254913e+10</td>\n",
       "      <td>1.109947e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>5.327827e+06</td>\n",
       "      <td>5.434294e+06</td>\n",
       "      <td>5.573815e+06</td>\n",
       "      <td>5.694247e+06</td>\n",
       "      <td>5.789228e+06</td>\n",
       "      <td>5.856472e+06</td>\n",
       "      <td>5.918002e+06</td>\n",
       "      <td>5.991785e+06</td>\n",
       "      <td>6.067714e+06</td>\n",
       "      <td>6.136387e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>4.291956e+11</td>\n",
       "      <td>4.774078e+11</td>\n",
       "      <td>5.515470e+11</td>\n",
       "      <td>5.395282e+11</td>\n",
       "      <td>5.812117e+11</td>\n",
       "      <td>6.963117e+11</td>\n",
       "      <td>6.654083e+11</td>\n",
       "      <td>6.849192e+11</td>\n",
       "      <td>7.010371e+11</td>\n",
       "      <td>6.647375e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Syrian Arab Republic</th>\n",
       "      <td>4.592777e+06</td>\n",
       "      <td>4.742596e+06</td>\n",
       "      <td>4.897428e+06</td>\n",
       "      <td>5.057825e+06</td>\n",
       "      <td>5.224579e+06</td>\n",
       "      <td>5.398333e+06</td>\n",
       "      <td>5.579283e+06</td>\n",
       "      <td>5.767478e+06</td>\n",
       "      <td>5.963248e+06</td>\n",
       "      <td>6.166933e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.333284e+10</td>\n",
       "      <td>4.040501e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tajikistan</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.830229e+09</td>\n",
       "      <td>3.719515e+09</td>\n",
       "      <td>5.161299e+09</td>\n",
       "      <td>4.979472e+09</td>\n",
       "      <td>5.642222e+09</td>\n",
       "      <td>6.522756e+09</td>\n",
       "      <td>7.633036e+09</td>\n",
       "      <td>8.506675e+09</td>\n",
       "      <td>9.236309e+09</td>\n",
       "      <td>7.853450e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tanzania</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.861046e+10</td>\n",
       "      <td>2.150174e+10</td>\n",
       "      <td>2.736839e+10</td>\n",
       "      <td>2.857378e+10</td>\n",
       "      <td>3.140791e+10</td>\n",
       "      <td>3.387863e+10</td>\n",
       "      <td>3.908775e+10</td>\n",
       "      <td>4.433346e+10</td>\n",
       "      <td>4.803040e+10</td>\n",
       "      <td>4.489539e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thailand</th>\n",
       "      <td>2.739718e+07</td>\n",
       "      <td>2.822421e+07</td>\n",
       "      <td>2.908104e+07</td>\n",
       "      <td>2.996704e+07</td>\n",
       "      <td>3.088133e+07</td>\n",
       "      <td>3.182280e+07</td>\n",
       "      <td>3.278910e+07</td>\n",
       "      <td>3.377850e+07</td>\n",
       "      <td>3.479094e+07</td>\n",
       "      <td>3.582680e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.217585e+11</td>\n",
       "      <td>2.629427e+11</td>\n",
       "      <td>2.913831e+11</td>\n",
       "      <td>2.815748e+11</td>\n",
       "      <td>3.409236e+11</td>\n",
       "      <td>3.706086e+11</td>\n",
       "      <td>3.972907e+11</td>\n",
       "      <td>4.198886e+11</td>\n",
       "      <td>4.043200e+11</td>\n",
       "      <td>3.952816e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timor-Leste</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.630000e+08</td>\n",
       "      <td>5.590000e+08</td>\n",
       "      <td>6.940000e+08</td>\n",
       "      <td>8.180000e+08</td>\n",
       "      <td>9.340000e+08</td>\n",
       "      <td>1.138000e+09</td>\n",
       "      <td>1.295000e+09</td>\n",
       "      <td>1.319000e+09</td>\n",
       "      <td>1.371173e+09</td>\n",
       "      <td>1.412378e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Togo</th>\n",
       "      <td>1.580513e+06</td>\n",
       "      <td>1.597528e+06</td>\n",
       "      <td>1.612758e+06</td>\n",
       "      <td>1.631763e+06</td>\n",
       "      <td>1.662072e+06</td>\n",
       "      <td>1.708632e+06</td>\n",
       "      <td>1.774029e+06</td>\n",
       "      <td>1.855445e+06</td>\n",
       "      <td>1.945781e+06</td>\n",
       "      <td>2.034909e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>2.202809e+09</td>\n",
       "      <td>2.523463e+09</td>\n",
       "      <td>3.163416e+09</td>\n",
       "      <td>3.163001e+09</td>\n",
       "      <td>3.172946e+09</td>\n",
       "      <td>3.756023e+09</td>\n",
       "      <td>3.866617e+09</td>\n",
       "      <td>4.081113e+09</td>\n",
       "      <td>4.482536e+09</td>\n",
       "      <td>4.002724e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tonga</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.879830e+08</td>\n",
       "      <td>2.996579e+08</td>\n",
       "      <td>3.400415e+08</td>\n",
       "      <td>3.213034e+08</td>\n",
       "      <td>3.698161e+08</td>\n",
       "      <td>4.412329e+08</td>\n",
       "      <td>4.572443e+08</td>\n",
       "      <td>4.328900e+08</td>\n",
       "      <td>4.343863e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trinidad and Tobago</th>\n",
       "      <td>8.484810e+05</td>\n",
       "      <td>8.653560e+05</td>\n",
       "      <td>8.800190e+05</td>\n",
       "      <td>8.925710e+05</td>\n",
       "      <td>9.032720e+05</td>\n",
       "      <td>9.124190e+05</td>\n",
       "      <td>9.199020e+05</td>\n",
       "      <td>9.259180e+05</td>\n",
       "      <td>9.314660e+05</td>\n",
       "      <td>9.378460e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.836907e+10</td>\n",
       "      <td>2.164230e+10</td>\n",
       "      <td>2.787026e+10</td>\n",
       "      <td>1.917520e+10</td>\n",
       "      <td>2.103761e+10</td>\n",
       "      <td>2.440983e+10</td>\n",
       "      <td>2.458084e+10</td>\n",
       "      <td>2.725741e+10</td>\n",
       "      <td>2.887412e+10</td>\n",
       "      <td>2.780575e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tunisia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.630000e+06</td>\n",
       "      <td>4.731395e+06</td>\n",
       "      <td>4.832923e+06</td>\n",
       "      <td>4.933131e+06</td>\n",
       "      <td>5.031211e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.437844e+10</td>\n",
       "      <td>3.890807e+10</td>\n",
       "      <td>4.485659e+10</td>\n",
       "      <td>4.345494e+10</td>\n",
       "      <td>4.405093e+10</td>\n",
       "      <td>4.581063e+10</td>\n",
       "      <td>4.504418e+10</td>\n",
       "      <td>4.625555e+10</td>\n",
       "      <td>4.760323e+10</td>\n",
       "      <td>4.301509e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>2.755328e+07</td>\n",
       "      <td>2.822929e+07</td>\n",
       "      <td>2.890998e+07</td>\n",
       "      <td>2.959705e+07</td>\n",
       "      <td>3.029297e+07</td>\n",
       "      <td>3.100017e+07</td>\n",
       "      <td>3.171827e+07</td>\n",
       "      <td>3.244840e+07</td>\n",
       "      <td>3.319629e+07</td>\n",
       "      <td>3.396920e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>5.309001e+11</td>\n",
       "      <td>6.471551e+11</td>\n",
       "      <td>7.303375e+11</td>\n",
       "      <td>6.145539e+11</td>\n",
       "      <td>7.311681e+11</td>\n",
       "      <td>7.747542e+11</td>\n",
       "      <td>7.888633e+11</td>\n",
       "      <td>8.232426e+11</td>\n",
       "      <td>7.987973e+11</td>\n",
       "      <td>7.182211e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkmenistan</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.027760e+10</td>\n",
       "      <td>1.266417e+10</td>\n",
       "      <td>1.927152e+10</td>\n",
       "      <td>2.021439e+10</td>\n",
       "      <td>2.258316e+10</td>\n",
       "      <td>2.923333e+10</td>\n",
       "      <td>3.516421e+10</td>\n",
       "      <td>3.919754e+10</td>\n",
       "      <td>4.348561e+10</td>\n",
       "      <td>3.733423e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tuvalu</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.290286e+07</td>\n",
       "      <td>2.703037e+07</td>\n",
       "      <td>3.029022e+07</td>\n",
       "      <td>2.710108e+07</td>\n",
       "      <td>3.182352e+07</td>\n",
       "      <td>3.931202e+07</td>\n",
       "      <td>3.987575e+07</td>\n",
       "      <td>3.832077e+07</td>\n",
       "      <td>3.785955e+07</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uganda</th>\n",
       "      <td>6.788211e+06</td>\n",
       "      <td>7.006629e+06</td>\n",
       "      <td>7.240155e+06</td>\n",
       "      <td>7.487411e+06</td>\n",
       "      <td>7.746181e+06</td>\n",
       "      <td>8.014376e+06</td>\n",
       "      <td>8.292747e+06</td>\n",
       "      <td>8.580632e+06</td>\n",
       "      <td>8.872866e+06</td>\n",
       "      <td>9.162773e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>9.942598e+09</td>\n",
       "      <td>1.229281e+10</td>\n",
       "      <td>1.423903e+10</td>\n",
       "      <td>1.787818e+10</td>\n",
       "      <td>2.018180e+10</td>\n",
       "      <td>2.026289e+10</td>\n",
       "      <td>2.323690e+10</td>\n",
       "      <td>2.466296e+10</td>\n",
       "      <td>2.699848e+10</td>\n",
       "      <td>2.636924e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ukraine</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.077531e+11</td>\n",
       "      <td>1.427190e+11</td>\n",
       "      <td>1.799924e+11</td>\n",
       "      <td>1.172278e+11</td>\n",
       "      <td>1.364193e+11</td>\n",
       "      <td>1.631597e+11</td>\n",
       "      <td>1.757814e+11</td>\n",
       "      <td>1.813344e+11</td>\n",
       "      <td>1.318051e+11</td>\n",
       "      <td>9.061502e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Arab Emirates</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.221059e+11</td>\n",
       "      <td>2.579161e+11</td>\n",
       "      <td>3.154746e+11</td>\n",
       "      <td>2.535474e+11</td>\n",
       "      <td>2.860493e+11</td>\n",
       "      <td>3.485261e+11</td>\n",
       "      <td>3.734295e+11</td>\n",
       "      <td>3.871921e+11</td>\n",
       "      <td>3.994513e+11</td>\n",
       "      <td>3.702927e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>5.240000e+07</td>\n",
       "      <td>5.280000e+07</td>\n",
       "      <td>5.325000e+07</td>\n",
       "      <td>5.365000e+07</td>\n",
       "      <td>5.400000e+07</td>\n",
       "      <td>5.434805e+07</td>\n",
       "      <td>5.464850e+07</td>\n",
       "      <td>5.494360e+07</td>\n",
       "      <td>5.521170e+07</td>\n",
       "      <td>5.544175e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.588077e+12</td>\n",
       "      <td>2.969734e+12</td>\n",
       "      <td>2.793377e+12</td>\n",
       "      <td>2.314577e+12</td>\n",
       "      <td>2.403504e+12</td>\n",
       "      <td>2.594905e+12</td>\n",
       "      <td>2.630473e+12</td>\n",
       "      <td>2.712296e+12</td>\n",
       "      <td>2.990201e+12</td>\n",
       "      <td>2.848755e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>1.806710e+08</td>\n",
       "      <td>1.836910e+08</td>\n",
       "      <td>1.865380e+08</td>\n",
       "      <td>1.892420e+08</td>\n",
       "      <td>1.918890e+08</td>\n",
       "      <td>1.943030e+08</td>\n",
       "      <td>1.965600e+08</td>\n",
       "      <td>1.987120e+08</td>\n",
       "      <td>2.007060e+08</td>\n",
       "      <td>2.026770e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>1.385589e+13</td>\n",
       "      <td>1.447764e+13</td>\n",
       "      <td>1.471858e+13</td>\n",
       "      <td>1.441874e+13</td>\n",
       "      <td>1.496437e+13</td>\n",
       "      <td>1.551793e+13</td>\n",
       "      <td>1.615526e+13</td>\n",
       "      <td>1.666316e+13</td>\n",
       "      <td>1.734807e+13</td>\n",
       "      <td>1.794700e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Upper middle income</th>\n",
       "      <td>1.154592e+09</td>\n",
       "      <td>1.159145e+09</td>\n",
       "      <td>1.176093e+09</td>\n",
       "      <td>1.204372e+09</td>\n",
       "      <td>1.232266e+09</td>\n",
       "      <td>1.261069e+09</td>\n",
       "      <td>1.292755e+09</td>\n",
       "      <td>1.323615e+09</td>\n",
       "      <td>1.355381e+09</td>\n",
       "      <td>1.388827e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>8.620784e+12</td>\n",
       "      <td>1.073130e+13</td>\n",
       "      <td>1.312644e+13</td>\n",
       "      <td>1.263584e+13</td>\n",
       "      <td>1.530029e+13</td>\n",
       "      <td>1.829801e+13</td>\n",
       "      <td>1.955543e+13</td>\n",
       "      <td>2.080729e+13</td>\n",
       "      <td>2.133305e+13</td>\n",
       "      <td>1.973288e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uruguay</th>\n",
       "      <td>2.538651e+06</td>\n",
       "      <td>2.571691e+06</td>\n",
       "      <td>2.603887e+06</td>\n",
       "      <td>2.635128e+06</td>\n",
       "      <td>2.665387e+06</td>\n",
       "      <td>2.694535e+06</td>\n",
       "      <td>2.722874e+06</td>\n",
       "      <td>2.750093e+06</td>\n",
       "      <td>2.774771e+06</td>\n",
       "      <td>2.795044e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.957946e+10</td>\n",
       "      <td>2.341057e+10</td>\n",
       "      <td>3.036621e+10</td>\n",
       "      <td>3.166091e+10</td>\n",
       "      <td>4.028468e+10</td>\n",
       "      <td>4.796244e+10</td>\n",
       "      <td>5.126540e+10</td>\n",
       "      <td>5.753123e+10</td>\n",
       "      <td>5.723577e+10</td>\n",
       "      <td>5.344270e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uzbekistan</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.703090e+10</td>\n",
       "      <td>2.231139e+10</td>\n",
       "      <td>2.793403e+10</td>\n",
       "      <td>3.281683e+10</td>\n",
       "      <td>3.933277e+10</td>\n",
       "      <td>4.532432e+10</td>\n",
       "      <td>5.118344e+10</td>\n",
       "      <td>5.679566e+10</td>\n",
       "      <td>6.313285e+10</td>\n",
       "      <td>6.673280e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vanuatu</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.393768e+08</td>\n",
       "      <td>5.264283e+08</td>\n",
       "      <td>6.079586e+08</td>\n",
       "      <td>6.100666e+08</td>\n",
       "      <td>7.008043e+08</td>\n",
       "      <td>7.921497e+08</td>\n",
       "      <td>7.817029e+08</td>\n",
       "      <td>8.017876e+08</td>\n",
       "      <td>8.149546e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Venezuela, RB</th>\n",
       "      <td>8.146845e+06</td>\n",
       "      <td>8.461684e+06</td>\n",
       "      <td>8.790590e+06</td>\n",
       "      <td>9.130346e+06</td>\n",
       "      <td>9.476255e+06</td>\n",
       "      <td>9.824694e+06</td>\n",
       "      <td>1.017514e+07</td>\n",
       "      <td>1.052805e+07</td>\n",
       "      <td>1.088200e+07</td>\n",
       "      <td>1.123549e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>1.834775e+11</td>\n",
       "      <td>2.303642e+11</td>\n",
       "      <td>3.156002e+11</td>\n",
       "      <td>3.294190e+11</td>\n",
       "      <td>3.938015e+11</td>\n",
       "      <td>3.164822e+11</td>\n",
       "      <td>3.812862e+11</td>\n",
       "      <td>3.713366e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.637166e+10</td>\n",
       "      <td>7.741443e+10</td>\n",
       "      <td>9.913030e+10</td>\n",
       "      <td>1.060146e+11</td>\n",
       "      <td>1.159317e+11</td>\n",
       "      <td>1.355395e+11</td>\n",
       "      <td>1.558200e+11</td>\n",
       "      <td>1.712220e+11</td>\n",
       "      <td>1.862047e+11</td>\n",
       "      <td>1.935994e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands (U.S.)</th>\n",
       "      <td>3.200000e+04</td>\n",
       "      <td>3.410000e+04</td>\n",
       "      <td>3.630000e+04</td>\n",
       "      <td>3.870000e+04</td>\n",
       "      <td>4.130000e+04</td>\n",
       "      <td>4.400000e+04</td>\n",
       "      <td>4.730000e+04</td>\n",
       "      <td>5.080000e+04</td>\n",
       "      <td>5.460000e+04</td>\n",
       "      <td>5.860000e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank and Gaza</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.910100e+09</td>\n",
       "      <td>5.505800e+09</td>\n",
       "      <td>6.673500e+09</td>\n",
       "      <td>7.268200e+09</td>\n",
       "      <td>8.913100e+09</td>\n",
       "      <td>1.045985e+10</td>\n",
       "      <td>1.127940e+10</td>\n",
       "      <td>1.247600e+10</td>\n",
       "      <td>1.271560e+10</td>\n",
       "      <td>1.267740e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>World</th>\n",
       "      <td>3.035056e+09</td>\n",
       "      <td>3.076121e+09</td>\n",
       "      <td>3.129064e+09</td>\n",
       "      <td>3.193947e+09</td>\n",
       "      <td>3.259355e+09</td>\n",
       "      <td>3.326054e+09</td>\n",
       "      <td>3.395866e+09</td>\n",
       "      <td>3.465297e+09</td>\n",
       "      <td>3.535512e+09</td>\n",
       "      <td>3.609910e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>5.107451e+13</td>\n",
       "      <td>5.758343e+13</td>\n",
       "      <td>6.312856e+13</td>\n",
       "      <td>5.983553e+13</td>\n",
       "      <td>6.564782e+13</td>\n",
       "      <td>7.284314e+13</td>\n",
       "      <td>7.442836e+13</td>\n",
       "      <td>7.643132e+13</td>\n",
       "      <td>7.810634e+13</td>\n",
       "      <td>7.343364e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen, Rep.</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.908173e+10</td>\n",
       "      <td>2.563367e+10</td>\n",
       "      <td>3.039720e+10</td>\n",
       "      <td>2.845950e+10</td>\n",
       "      <td>3.090675e+10</td>\n",
       "      <td>3.107886e+10</td>\n",
       "      <td>3.207477e+10</td>\n",
       "      <td>3.595450e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>3.049586e+06</td>\n",
       "      <td>3.142848e+06</td>\n",
       "      <td>3.240664e+06</td>\n",
       "      <td>3.342894e+06</td>\n",
       "      <td>3.449266e+06</td>\n",
       "      <td>3.559687e+06</td>\n",
       "      <td>3.674088e+06</td>\n",
       "      <td>3.792864e+06</td>\n",
       "      <td>3.916928e+06</td>\n",
       "      <td>4.047479e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.275686e+10</td>\n",
       "      <td>1.405696e+10</td>\n",
       "      <td>1.791086e+10</td>\n",
       "      <td>1.532834e+10</td>\n",
       "      <td>2.026555e+10</td>\n",
       "      <td>2.345952e+10</td>\n",
       "      <td>2.550306e+10</td>\n",
       "      <td>2.804552e+10</td>\n",
       "      <td>2.713464e+10</td>\n",
       "      <td>2.120156e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>3.752390e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "      <td>5.036321e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>5.443896e+09</td>\n",
       "      <td>5.291950e+09</td>\n",
       "      <td>4.415703e+09</td>\n",
       "      <td>8.157077e+09</td>\n",
       "      <td>9.422161e+09</td>\n",
       "      <td>1.095623e+10</td>\n",
       "      <td>1.239272e+10</td>\n",
       "      <td>1.349023e+10</td>\n",
       "      <td>1.419691e+10</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>252 rows × 112 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Population                              \\\n",
       "year                            1960          1961          1962   \n",
       "country                                                            \n",
       "Afghanistan             8.994793e+06  9.164945e+06  9.343772e+06   \n",
       "Albania                          NaN           NaN           NaN   \n",
       "Algeria                 1.112489e+07  1.140486e+07  1.169015e+07   \n",
       "Andorra                          NaN           NaN           NaN   \n",
       "Angola                           NaN           NaN           NaN   \n",
       "Antigua and Barbuda              NaN           NaN           NaN   \n",
       "Arab World                       NaN           NaN           NaN   \n",
       "Argentina                        NaN           NaN  2.128768e+07   \n",
       "Armenia                          NaN           NaN           NaN   \n",
       "Aruba                            NaN           NaN           NaN   \n",
       "Australia               1.027648e+07  1.048300e+07  1.074200e+07   \n",
       "Austria                 7.047539e+06  7.086299e+06  7.129864e+06   \n",
       "Azerbaijan                       NaN           NaN           NaN   \n",
       "Bahamas, The            1.095260e+05  1.151080e+05  1.210830e+05   \n",
       "Bahrain                          NaN           NaN           NaN   \n",
       "Bangladesh              4.820070e+07  4.959361e+07  5.103060e+07   \n",
       "Barbados                         NaN           NaN           NaN   \n",
       "Belarus                          NaN           NaN           NaN   \n",
       "Belgium                 9.153489e+06  9.183948e+06  9.220578e+06   \n",
       "Belize                  9.206800e+04  9.470100e+04  9.738900e+04   \n",
       "Benin                   2.431620e+06  2.466002e+06  2.503232e+06   \n",
       "Bermuda                 4.440000e+04  4.550000e+04  4.660000e+04   \n",
       "Bhutan                           NaN           NaN           NaN   \n",
       "Bolivia                 3.693451e+06  3.764815e+06  3.838096e+06   \n",
       "Bosnia and Herzegovina           NaN           NaN           NaN   \n",
       "Botswana                5.240290e+05  5.365760e+05  5.499900e+05   \n",
       "Brazil                  7.249358e+07  7.470689e+07  7.700755e+07   \n",
       "Brunei Darussalam                NaN           NaN           NaN   \n",
       "Bulgaria                         NaN           NaN           NaN   \n",
       "Burkina Faso            4.829291e+06  4.894578e+06  4.960325e+06   \n",
       "...                              ...           ...           ...   \n",
       "Switzerland             5.327827e+06  5.434294e+06  5.573815e+06   \n",
       "Syrian Arab Republic    4.592777e+06  4.742596e+06  4.897428e+06   \n",
       "Tajikistan                       NaN           NaN           NaN   \n",
       "Tanzania                         NaN           NaN           NaN   \n",
       "Thailand                2.739718e+07  2.822421e+07  2.908104e+07   \n",
       "Timor-Leste                      NaN           NaN           NaN   \n",
       "Togo                    1.580513e+06  1.597528e+06  1.612758e+06   \n",
       "Tonga                            NaN           NaN           NaN   \n",
       "Trinidad and Tobago     8.484810e+05  8.653560e+05  8.800190e+05   \n",
       "Tunisia                          NaN           NaN           NaN   \n",
       "Turkey                  2.755328e+07  2.822929e+07  2.890998e+07   \n",
       "Turkmenistan                     NaN           NaN           NaN   \n",
       "Tuvalu                           NaN           NaN           NaN   \n",
       "Uganda                  6.788211e+06  7.006629e+06  7.240155e+06   \n",
       "Ukraine                          NaN           NaN           NaN   \n",
       "United Arab Emirates             NaN           NaN           NaN   \n",
       "United Kingdom          5.240000e+07  5.280000e+07  5.325000e+07   \n",
       "United States           1.806710e+08  1.836910e+08  1.865380e+08   \n",
       "Upper middle income     1.154592e+09  1.159145e+09  1.176093e+09   \n",
       "Uruguay                 2.538651e+06  2.571691e+06  2.603887e+06   \n",
       "Uzbekistan                       NaN           NaN           NaN   \n",
       "Vanuatu                          NaN           NaN           NaN   \n",
       "Venezuela, RB           8.146845e+06  8.461684e+06  8.790590e+06   \n",
       "Vietnam                          NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.)   3.200000e+04  3.410000e+04  3.630000e+04   \n",
       "West Bank and Gaza               NaN           NaN           NaN   \n",
       "World                   3.035056e+09  3.076121e+09  3.129064e+09   \n",
       "Yemen, Rep.                      NaN           NaN           NaN   \n",
       "Zambia                  3.049586e+06  3.142848e+06  3.240664e+06   \n",
       "Zimbabwe                3.752390e+06  3.876638e+06  4.006262e+06   \n",
       "\n",
       "                                                                  \\\n",
       "year                            1963          1964          1965   \n",
       "country                                                            \n",
       "Afghanistan             9.531555e+06  9.728645e+06  9.935358e+06   \n",
       "Albania                          NaN           NaN           NaN   \n",
       "Algeria                 1.198513e+07  1.229597e+07  1.262695e+07   \n",
       "Andorra                          NaN           NaN           NaN   \n",
       "Angola                           NaN           NaN           NaN   \n",
       "Antigua and Barbuda              NaN           NaN           NaN   \n",
       "Arab World                       NaN           NaN           NaN   \n",
       "Argentina               2.162184e+07  2.195393e+07  2.228339e+07   \n",
       "Armenia                          NaN           NaN           NaN   \n",
       "Aruba                            NaN           NaN           NaN   \n",
       "Australia               1.095000e+07  1.116700e+07  1.138800e+07   \n",
       "Austria                 7.175811e+06  7.223801e+06  7.270889e+06   \n",
       "Azerbaijan                       NaN           NaN           NaN   \n",
       "Bahamas, The            1.273310e+05  1.336970e+05  1.400490e+05   \n",
       "Bahrain                          NaN           NaN           NaN   \n",
       "Bangladesh              5.253260e+07  5.412939e+07  5.583502e+07   \n",
       "Barbados                         NaN           NaN           NaN   \n",
       "Belarus                          NaN           NaN           NaN   \n",
       "Belgium                 9.289770e+06  9.378113e+06  9.463667e+06   \n",
       "Belize                  1.001660e+05  1.030700e+05  1.061210e+05   \n",
       "Benin                   2.543335e+06  2.586362e+06  2.632360e+06   \n",
       "Bermuda                 4.770000e+04  4.890000e+04  5.010000e+04   \n",
       "Bhutan                           NaN           NaN           NaN   \n",
       "Bolivia                 3.913397e+06  3.990855e+06  4.070590e+06   \n",
       "Bosnia and Herzegovina           NaN           NaN           NaN   \n",
       "Botswana                5.643160e+05  5.795600e+05  5.957410e+05   \n",
       "Brazil                  7.936845e+07  8.175180e+07  8.413006e+07   \n",
       "Brunei Darussalam                NaN           NaN  1.025250e+05   \n",
       "Bulgaria                         NaN           NaN           NaN   \n",
       "Burkina Faso            5.027818e+06  5.098892e+06  5.174869e+06   \n",
       "...                              ...           ...           ...   \n",
       "Switzerland             5.694247e+06  5.789228e+06  5.856472e+06   \n",
       "Syrian Arab Republic    5.057825e+06  5.224579e+06  5.398333e+06   \n",
       "Tajikistan                       NaN           NaN           NaN   \n",
       "Tanzania                         NaN           NaN           NaN   \n",
       "Thailand                2.996704e+07  3.088133e+07  3.182280e+07   \n",
       "Timor-Leste                      NaN           NaN           NaN   \n",
       "Togo                    1.631763e+06  1.662072e+06  1.708632e+06   \n",
       "Tonga                            NaN           NaN           NaN   \n",
       "Trinidad and Tobago     8.925710e+05  9.032720e+05  9.124190e+05   \n",
       "Tunisia                          NaN           NaN  4.630000e+06   \n",
       "Turkey                  2.959705e+07  3.029297e+07  3.100017e+07   \n",
       "Turkmenistan                     NaN           NaN           NaN   \n",
       "Tuvalu                           NaN           NaN           NaN   \n",
       "Uganda                  7.487411e+06  7.746181e+06  8.014376e+06   \n",
       "Ukraine                          NaN           NaN           NaN   \n",
       "United Arab Emirates             NaN           NaN           NaN   \n",
       "United Kingdom          5.365000e+07  5.400000e+07  5.434805e+07   \n",
       "United States           1.892420e+08  1.918890e+08  1.943030e+08   \n",
       "Upper middle income     1.204372e+09  1.232266e+09  1.261069e+09   \n",
       "Uruguay                 2.635128e+06  2.665387e+06  2.694535e+06   \n",
       "Uzbekistan                       NaN           NaN           NaN   \n",
       "Vanuatu                          NaN           NaN           NaN   \n",
       "Venezuela, RB           9.130346e+06  9.476255e+06  9.824694e+06   \n",
       "Vietnam                          NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.)   3.870000e+04  4.130000e+04  4.400000e+04   \n",
       "West Bank and Gaza               NaN           NaN           NaN   \n",
       "World                   3.193947e+09  3.259355e+09  3.326054e+09   \n",
       "Yemen, Rep.                      NaN           NaN           NaN   \n",
       "Zambia                  3.342894e+06  3.449266e+06  3.559687e+06   \n",
       "Zimbabwe                4.140804e+06  4.279561e+06  4.422132e+06   \n",
       "\n",
       "                                                                  \\\n",
       "year                            1966          1967          1968   \n",
       "country                                                            \n",
       "Afghanistan             1.014884e+07  1.036860e+07  1.059979e+07   \n",
       "Albania                          NaN           NaN           NaN   \n",
       "Algeria                 1.298027e+07  1.335420e+07  1.374438e+07   \n",
       "Andorra                          NaN           NaN           NaN   \n",
       "Angola                           NaN           NaN           NaN   \n",
       "Antigua and Barbuda              NaN           NaN           NaN   \n",
       "Arab World                       NaN           NaN  1.155571e+08   \n",
       "Argentina               2.260875e+07  2.293220e+07  2.326127e+07   \n",
       "Armenia                          NaN           NaN           NaN   \n",
       "Aruba                            NaN           NaN           NaN   \n",
       "Australia               1.165100e+07  1.179900e+07  1.200900e+07   \n",
       "Austria                 7.322066e+06  7.376998e+06  7.415403e+06   \n",
       "Azerbaijan                       NaN           NaN           NaN   \n",
       "Bahamas, The            1.463640e+05  1.526070e+05  1.586290e+05   \n",
       "Bahrain                          NaN           NaN           NaN   \n",
       "Bangladesh              5.767553e+07  5.962529e+07  6.158552e+07   \n",
       "Barbados                         NaN           NaN           NaN   \n",
       "Belarus                          NaN           NaN           NaN   \n",
       "Belgium                 9.527807e+06  9.580991e+06  9.618756e+06   \n",
       "Belize                  1.093440e+05  1.126990e+05  1.160610e+05   \n",
       "Benin                   2.681382e+06  2.733450e+06  2.788551e+06   \n",
       "Bermuda                 5.100000e+04  5.200000e+04  5.300000e+04   \n",
       "Bhutan                           NaN           NaN           NaN   \n",
       "Bolivia                 4.152665e+06  4.237126e+06  4.324066e+06   \n",
       "Bosnia and Herzegovina           NaN           NaN           NaN   \n",
       "Botswana                6.129500e+05  6.312760e+05  6.507300e+05   \n",
       "Brazil                  8.649499e+07  8.885368e+07  9.121301e+07   \n",
       "Brunei Darussalam       1.074500e+05  1.126800e+05  1.181760e+05   \n",
       "Bulgaria                         NaN           NaN           NaN   \n",
       "Burkina Faso            5.256363e+06  5.343020e+06  5.434040e+06   \n",
       "...                              ...           ...           ...   \n",
       "Switzerland             5.918002e+06  5.991785e+06  6.067714e+06   \n",
       "Syrian Arab Republic    5.579283e+06  5.767478e+06  5.963248e+06   \n",
       "Tajikistan                       NaN           NaN           NaN   \n",
       "Tanzania                         NaN           NaN           NaN   \n",
       "Thailand                3.278910e+07  3.377850e+07  3.479094e+07   \n",
       "Timor-Leste                      NaN           NaN           NaN   \n",
       "Togo                    1.774029e+06  1.855445e+06  1.945781e+06   \n",
       "Tonga                            NaN           NaN           NaN   \n",
       "Trinidad and Tobago     9.199020e+05  9.259180e+05  9.314660e+05   \n",
       "Tunisia                 4.731395e+06  4.832923e+06  4.933131e+06   \n",
       "Turkey                  3.171827e+07  3.244840e+07  3.319629e+07   \n",
       "Turkmenistan                     NaN           NaN           NaN   \n",
       "Tuvalu                           NaN           NaN           NaN   \n",
       "Uganda                  8.292747e+06  8.580632e+06  8.872866e+06   \n",
       "Ukraine                          NaN           NaN           NaN   \n",
       "United Arab Emirates             NaN           NaN           NaN   \n",
       "United Kingdom          5.464850e+07  5.494360e+07  5.521170e+07   \n",
       "United States           1.965600e+08  1.987120e+08  2.007060e+08   \n",
       "Upper middle income     1.292755e+09  1.323615e+09  1.355381e+09   \n",
       "Uruguay                 2.722874e+06  2.750093e+06  2.774771e+06   \n",
       "Uzbekistan                       NaN           NaN           NaN   \n",
       "Vanuatu                          NaN           NaN           NaN   \n",
       "Venezuela, RB           1.017514e+07  1.052805e+07  1.088200e+07   \n",
       "Vietnam                          NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.)   4.730000e+04  5.080000e+04  5.460000e+04   \n",
       "West Bank and Gaza               NaN           NaN           NaN   \n",
       "World                   3.395866e+09  3.465297e+09  3.535512e+09   \n",
       "Yemen, Rep.                      NaN           NaN           NaN   \n",
       "Zambia                  3.674088e+06  3.792864e+06  3.916928e+06   \n",
       "Zimbabwe                4.568320e+06  4.718612e+06  4.874113e+06   \n",
       "\n",
       "                                      ...           GDP                \\\n",
       "year                            1969  ...          2006          2007   \n",
       "country                               ...                               \n",
       "Afghanistan             1.084951e+07  ...  7.057598e+09  9.843842e+09   \n",
       "Albania                          NaN  ...  8.992642e+09  1.070101e+10   \n",
       "Algeria                 1.414444e+07  ...  1.170273e+11  1.349771e+11   \n",
       "Andorra                          NaN  ...  3.536452e+09  4.010785e+09   \n",
       "Angola                           NaN  ...  4.178948e+10  6.044892e+10   \n",
       "Antigua and Barbuda              NaN  ...  1.135144e+09  1.289254e+09   \n",
       "Arab World              1.188239e+08  ...  1.404190e+12  1.641666e+12   \n",
       "Argentina               2.360599e+07  ...  2.626665e+11  3.293175e+11   \n",
       "Armenia                          NaN  ...  6.384452e+09  9.206302e+09   \n",
       "Aruba                            NaN  ...  2.421475e+09  2.623726e+09   \n",
       "Australia               1.226300e+07  ...  7.468808e+11  8.530533e+11   \n",
       "Austria                 7.441055e+06  ...  3.343094e+11  3.864590e+11   \n",
       "Azerbaijan                       NaN  ...  2.098302e+10  3.305034e+10   \n",
       "Bahamas, The            1.642500e+05  ...  7.965588e+09  8.318996e+09   \n",
       "Bahrain                          NaN  ...  1.850505e+10  2.173000e+10   \n",
       "Bangladesh              6.342257e+07  ...  7.181908e+10  7.961189e+10   \n",
       "Barbados                         NaN  ...  4.303500e+09  4.546000e+09   \n",
       "Belarus                          NaN  ...  3.696182e+10  4.527575e+10   \n",
       "Belgium                 9.646032e+06  ...  4.098131e+11  4.718218e+11   \n",
       "Belize                  1.192600e+05  ...  1.217442e+09  1.290543e+09   \n",
       "Benin                   2.846652e+06  ...  5.142381e+09  5.969535e+09   \n",
       "Bermuda                 5.400000e+04  ...  5.414299e+09  5.895048e+09   \n",
       "Bhutan                           NaN  ...  8.977315e+08  1.196092e+09   \n",
       "Bolivia                 4.413584e+06  ...  1.145187e+10  1.312018e+10   \n",
       "Bosnia and Herzegovina           NaN  ...  1.286652e+10  1.577642e+10   \n",
       "Botswana                6.713050e+05  ...  1.012694e+10  1.093905e+10   \n",
       "Brazil                  9.358575e+07  ...  1.107640e+12  1.397084e+12   \n",
       "Brunei Darussalam       1.238750e+05  ...  1.147070e+10  1.224769e+10   \n",
       "Bulgaria                         NaN  ...  3.430445e+10  4.476573e+10   \n",
       "Burkina Faso            5.528172e+06  ...  5.844670e+09  6.771278e+09   \n",
       "...                              ...  ...           ...           ...   \n",
       "Switzerland             6.136387e+06  ...  4.291956e+11  4.774078e+11   \n",
       "Syrian Arab Republic    6.166933e+06  ...  3.333284e+10  4.040501e+10   \n",
       "Tajikistan                       NaN  ...  2.830229e+09  3.719515e+09   \n",
       "Tanzania                         NaN  ...  1.861046e+10  2.150174e+10   \n",
       "Thailand                3.582680e+07  ...  2.217585e+11  2.629427e+11   \n",
       "Timor-Leste                      NaN  ...  4.630000e+08  5.590000e+08   \n",
       "Togo                    2.034909e+06  ...  2.202809e+09  2.523463e+09   \n",
       "Tonga                            NaN  ...  2.879830e+08  2.996579e+08   \n",
       "Trinidad and Tobago     9.378460e+05  ...  1.836907e+10  2.164230e+10   \n",
       "Tunisia                 5.031211e+06  ...  3.437844e+10  3.890807e+10   \n",
       "Turkey                  3.396920e+07  ...  5.309001e+11  6.471551e+11   \n",
       "Turkmenistan                     NaN  ...  1.027760e+10  1.266417e+10   \n",
       "Tuvalu                           NaN  ...  2.290286e+07  2.703037e+07   \n",
       "Uganda                  9.162773e+06  ...  9.942598e+09  1.229281e+10   \n",
       "Ukraine                          NaN  ...  1.077531e+11  1.427190e+11   \n",
       "United Arab Emirates             NaN  ...  2.221059e+11  2.579161e+11   \n",
       "United Kingdom          5.544175e+07  ...  2.588077e+12  2.969734e+12   \n",
       "United States           2.026770e+08  ...  1.385589e+13  1.447764e+13   \n",
       "Upper middle income     1.388827e+09  ...  8.620784e+12  1.073130e+13   \n",
       "Uruguay                 2.795044e+06  ...  1.957946e+10  2.341057e+10   \n",
       "Uzbekistan                       NaN  ...  1.703090e+10  2.231139e+10   \n",
       "Vanuatu                          NaN  ...  4.393768e+08  5.264283e+08   \n",
       "Venezuela, RB           1.123549e+07  ...  1.834775e+11  2.303642e+11   \n",
       "Vietnam                          NaN  ...  6.637166e+10  7.741443e+10   \n",
       "Virgin Islands (U.S.)   5.860000e+04  ...           NaN           NaN   \n",
       "West Bank and Gaza               NaN  ...  4.910100e+09  5.505800e+09   \n",
       "World                   3.609910e+09  ...  5.107451e+13  5.758343e+13   \n",
       "Yemen, Rep.                      NaN  ...  1.908173e+10  2.563367e+10   \n",
       "Zambia                  4.047479e+06  ...  1.275686e+10  1.405696e+10   \n",
       "Zimbabwe                5.036321e+06  ...  5.443896e+09  5.291950e+09   \n",
       "\n",
       "                                                                  \\\n",
       "year                            2008          2009          2010   \n",
       "country                                                            \n",
       "Afghanistan             1.019053e+10  1.248694e+10  1.593680e+10   \n",
       "Albania                 1.288135e+10  1.204421e+10  1.192695e+10   \n",
       "Algeria                 1.710007e+11  1.372110e+11  1.612073e+11   \n",
       "Andorra                 4.001349e+09  3.649863e+09  3.346317e+09   \n",
       "Angola                  8.417803e+10  7.549238e+10  8.247091e+10   \n",
       "Antigua and Barbuda     1.347350e+09  1.206410e+09  1.135539e+09   \n",
       "Arab World              2.081343e+12  1.798878e+12  2.103825e+12   \n",
       "Argentina               4.037820e+11  3.766279e+11  4.616402e+11   \n",
       "Armenia                 1.166204e+10  8.647937e+09  9.260285e+09   \n",
       "Aruba                   2.791961e+09  2.498933e+09  2.467704e+09   \n",
       "Australia               1.054558e+12  9.265638e+11  1.142251e+12   \n",
       "Austria                 4.276115e+11  3.975943e+11  3.902351e+11   \n",
       "Azerbaijan              4.885248e+10  4.429149e+10  5.290270e+10   \n",
       "Bahamas, The            8.246650e+09  7.820420e+09  7.909580e+09   \n",
       "Bahrain                 2.571088e+10  2.293822e+10  2.571327e+10   \n",
       "Bangladesh              9.163128e+10  1.024778e+11  1.152791e+11   \n",
       "Barbados                4.595000e+09  4.602000e+09  4.445500e+09   \n",
       "Belarus                 6.075218e+10  4.920866e+10  5.522093e+10   \n",
       "Belgium                 5.186260e+11  4.845527e+11  4.835775e+11   \n",
       "Belize                  1.368625e+09  1.336957e+09  1.397113e+09   \n",
       "Benin                   7.132787e+09  7.097199e+09  6.970241e+09   \n",
       "Bermuda                 6.109928e+09  5.806378e+09  5.744414e+09   \n",
       "Bhutan                  1.258332e+09  1.264758e+09  1.585473e+09   \n",
       "Bolivia                 1.667432e+10  1.733999e+10  1.964963e+10   \n",
       "Bosnia and Herzegovina  1.910145e+10  1.760063e+10  1.716312e+10   \n",
       "Botswana                1.094507e+10  1.026713e+10  1.278666e+10   \n",
       "Brazil                  1.695825e+12  1.667020e+12  2.208872e+12   \n",
       "Brunei Darussalam       1.439310e+10  1.073237e+10  1.237062e+10   \n",
       "Bulgaria                5.466664e+10  5.178345e+10  4.993917e+10   \n",
       "Burkina Faso            8.369637e+09  8.369175e+09  8.979967e+09   \n",
       "...                              ...           ...           ...   \n",
       "Switzerland             5.515470e+11  5.395282e+11  5.812117e+11   \n",
       "Syrian Arab Republic             NaN           NaN           NaN   \n",
       "Tajikistan              5.161299e+09  4.979472e+09  5.642222e+09   \n",
       "Tanzania                2.736839e+10  2.857378e+10  3.140791e+10   \n",
       "Thailand                2.913831e+11  2.815748e+11  3.409236e+11   \n",
       "Timor-Leste             6.940000e+08  8.180000e+08  9.340000e+08   \n",
       "Togo                    3.163416e+09  3.163001e+09  3.172946e+09   \n",
       "Tonga                   3.400415e+08  3.213034e+08  3.698161e+08   \n",
       "Trinidad and Tobago     2.787026e+10  1.917520e+10  2.103761e+10   \n",
       "Tunisia                 4.485659e+10  4.345494e+10  4.405093e+10   \n",
       "Turkey                  7.303375e+11  6.145539e+11  7.311681e+11   \n",
       "Turkmenistan            1.927152e+10  2.021439e+10  2.258316e+10   \n",
       "Tuvalu                  3.029022e+07  2.710108e+07  3.182352e+07   \n",
       "Uganda                  1.423903e+10  1.787818e+10  2.018180e+10   \n",
       "Ukraine                 1.799924e+11  1.172278e+11  1.364193e+11   \n",
       "United Arab Emirates    3.154746e+11  2.535474e+11  2.860493e+11   \n",
       "United Kingdom          2.793377e+12  2.314577e+12  2.403504e+12   \n",
       "United States           1.471858e+13  1.441874e+13  1.496437e+13   \n",
       "Upper middle income     1.312644e+13  1.263584e+13  1.530029e+13   \n",
       "Uruguay                 3.036621e+10  3.166091e+10  4.028468e+10   \n",
       "Uzbekistan              2.793403e+10  3.281683e+10  3.933277e+10   \n",
       "Vanuatu                 6.079586e+08  6.100666e+08  7.008043e+08   \n",
       "Venezuela, RB           3.156002e+11  3.294190e+11  3.938015e+11   \n",
       "Vietnam                 9.913030e+10  1.060146e+11  1.159317e+11   \n",
       "Virgin Islands (U.S.)            NaN           NaN           NaN   \n",
       "West Bank and Gaza      6.673500e+09  7.268200e+09  8.913100e+09   \n",
       "World                   6.312856e+13  5.983553e+13  6.564782e+13   \n",
       "Yemen, Rep.             3.039720e+10  2.845950e+10  3.090675e+10   \n",
       "Zambia                  1.791086e+10  1.532834e+10  2.026555e+10   \n",
       "Zimbabwe                4.415703e+09  8.157077e+09  9.422161e+09   \n",
       "\n",
       "                                                                  \\\n",
       "year                            2011          2012          2013   \n",
       "country                                                            \n",
       "Afghanistan             1.793024e+10  2.053654e+10  2.004633e+10   \n",
       "Albania                 1.289087e+10  1.231978e+10  1.278103e+10   \n",
       "Algeria                 2.000131e+11  2.090474e+11  2.097035e+11   \n",
       "Andorra                 3.427236e+09  3.146178e+09  3.249101e+09   \n",
       "Angola                  1.041159e+11  1.153984e+11  1.249121e+11   \n",
       "Antigua and Barbuda     1.129918e+09  1.204713e+09  1.200588e+09   \n",
       "Arab World              2.497945e+12  2.773270e+12  2.846994e+12   \n",
       "Argentina               5.578902e+11  6.043785e+11  6.239320e+11   \n",
       "Armenia                 1.014211e+10  1.061932e+10  1.112147e+10   \n",
       "Aruba                   2.584464e+09           NaN           NaN   \n",
       "Australia               1.389919e+12  1.537478e+12  1.563951e+12   \n",
       "Austria                 4.290107e+11  4.073730e+11  4.286986e+11   \n",
       "Azerbaijan              6.595163e+10  6.873091e+10  7.356048e+10   \n",
       "Bahamas, The            7.889750e+09  8.234470e+09  8.431750e+09   \n",
       "Bahrain                 2.904407e+10  3.075646e+10  3.289761e+10   \n",
       "Bangladesh              1.286379e+11  1.333557e+11  1.499905e+11   \n",
       "Barbados                4.358000e+09  4.313000e+09  4.281000e+09   \n",
       "Belarus                 5.973459e+10  6.361545e+10  7.309762e+10   \n",
       "Belgium                 5.269753e+11  4.978160e+11  5.213705e+11   \n",
       "Belize                  1.486712e+09  1.573619e+09  1.625828e+09   \n",
       "Benin                   7.814081e+09  8.117101e+09  9.110801e+09   \n",
       "Bermuda                 5.550771e+09  5.537537e+09  5.573710e+09   \n",
       "Bhutan                  1.820208e+09  1.823692e+09  1.798334e+09   \n",
       "Bolivia                 2.396303e+10  2.708450e+10  3.065934e+10   \n",
       "Bosnia and Herzegovina  1.862802e+10  1.720737e+10  1.815429e+10   \n",
       "Botswana                1.568293e+10  1.468625e+10  1.481480e+10   \n",
       "Brazil                  2.614573e+12  2.460658e+12  2.465774e+12   \n",
       "Brunei Darussalam       1.669153e+10  1.695351e+10  1.611069e+10   \n",
       "Bulgaria                5.694984e+10  5.357667e+10  5.562636e+10   \n",
       "Burkina Faso            1.072406e+10  1.116606e+10  1.211417e+10   \n",
       "...                              ...           ...           ...   \n",
       "Switzerland             6.963117e+11  6.654083e+11  6.849192e+11   \n",
       "Syrian Arab Republic             NaN           NaN           NaN   \n",
       "Tajikistan              6.522756e+09  7.633036e+09  8.506675e+09   \n",
       "Tanzania                3.387863e+10  3.908775e+10  4.433346e+10   \n",
       "Thailand                3.706086e+11  3.972907e+11  4.198886e+11   \n",
       "Timor-Leste             1.138000e+09  1.295000e+09  1.319000e+09   \n",
       "Togo                    3.756023e+09  3.866617e+09  4.081113e+09   \n",
       "Tonga                   4.412329e+08  4.572443e+08  4.328900e+08   \n",
       "Trinidad and Tobago     2.440983e+10  2.458084e+10  2.725741e+10   \n",
       "Tunisia                 4.581063e+10  4.504418e+10  4.625555e+10   \n",
       "Turkey                  7.747542e+11  7.888633e+11  8.232426e+11   \n",
       "Turkmenistan            2.923333e+10  3.516421e+10  3.919754e+10   \n",
       "Tuvalu                  3.931202e+07  3.987575e+07  3.832077e+07   \n",
       "Uganda                  2.026289e+10  2.323690e+10  2.466296e+10   \n",
       "Ukraine                 1.631597e+11  1.757814e+11  1.813344e+11   \n",
       "United Arab Emirates    3.485261e+11  3.734295e+11  3.871921e+11   \n",
       "United Kingdom          2.594905e+12  2.630473e+12  2.712296e+12   \n",
       "United States           1.551793e+13  1.615526e+13  1.666316e+13   \n",
       "Upper middle income     1.829801e+13  1.955543e+13  2.080729e+13   \n",
       "Uruguay                 4.796244e+10  5.126540e+10  5.753123e+10   \n",
       "Uzbekistan              4.532432e+10  5.118344e+10  5.679566e+10   \n",
       "Vanuatu                 7.921497e+08  7.817029e+08  8.017876e+08   \n",
       "Venezuela, RB           3.164822e+11  3.812862e+11  3.713366e+11   \n",
       "Vietnam                 1.355395e+11  1.558200e+11  1.712220e+11   \n",
       "Virgin Islands (U.S.)            NaN           NaN           NaN   \n",
       "West Bank and Gaza      1.045985e+10  1.127940e+10  1.247600e+10   \n",
       "World                   7.284314e+13  7.442836e+13  7.643132e+13   \n",
       "Yemen, Rep.             3.107886e+10  3.207477e+10  3.595450e+10   \n",
       "Zambia                  2.345952e+10  2.550306e+10  2.804552e+10   \n",
       "Zimbabwe                1.095623e+10  1.239272e+10  1.349023e+10   \n",
       "\n",
       "                                                    \n",
       "year                            2014          2015  \n",
       "country                                             \n",
       "Afghanistan             2.005019e+10  1.919944e+10  \n",
       "Albania                 1.327796e+10  1.145560e+10  \n",
       "Algeria                 2.135185e+11  1.668386e+11  \n",
       "Andorra                          NaN           NaN  \n",
       "Angola                  1.267751e+11  1.026431e+11  \n",
       "Antigua and Barbuda     1.220976e+09  1.297285e+09  \n",
       "Arab World              2.873600e+12  2.530102e+12  \n",
       "Argentina               5.480549e+11           NaN  \n",
       "Armenia                 1.164444e+10  1.056140e+10  \n",
       "Aruba                            NaN           NaN  \n",
       "Australia               1.454675e+12  1.339539e+12  \n",
       "Austria                 4.368875e+11  3.740559e+11  \n",
       "Azerbaijan              7.519801e+10  5.304714e+10  \n",
       "Bahamas, The            8.510500e+09  8.884441e+09  \n",
       "Bahrain                 3.385106e+10  3.222149e+10  \n",
       "Bangladesh              1.728855e+11  1.950787e+11  \n",
       "Barbados                4.354500e+09  4.451000e+09  \n",
       "Belarus                 7.610396e+10  5.460896e+10  \n",
       "Belgium                 5.312348e+11  4.540390e+11  \n",
       "Belize                  1.717862e+09  1.763000e+09  \n",
       "Benin                   9.575357e+09  8.476125e+09  \n",
       "Bermuda                          NaN           NaN  \n",
       "Bhutan                  1.958820e+09  1.962222e+09  \n",
       "Bolivia                 3.299619e+10  3.319682e+10  \n",
       "Bosnia and Herzegovina  1.852148e+10  1.599539e+10  \n",
       "Botswana                1.588020e+10  1.439086e+10  \n",
       "Brazil                  2.417046e+12  1.774725e+12  \n",
       "Brunei Darussalam       1.710466e+10  1.549204e+10  \n",
       "Bulgaria                5.671705e+10  4.895296e+10  \n",
       "Burkina Faso            1.254913e+10  1.109947e+10  \n",
       "...                              ...           ...  \n",
       "Switzerland             7.010371e+11  6.647375e+11  \n",
       "Syrian Arab Republic             NaN           NaN  \n",
       "Tajikistan              9.236309e+09  7.853450e+09  \n",
       "Tanzania                4.803040e+10  4.489539e+10  \n",
       "Thailand                4.043200e+11  3.952816e+11  \n",
       "Timor-Leste             1.371173e+09  1.412378e+09  \n",
       "Togo                    4.482536e+09  4.002724e+09  \n",
       "Tonga                   4.343863e+08           NaN  \n",
       "Trinidad and Tobago     2.887412e+10  2.780575e+10  \n",
       "Tunisia                 4.760323e+10  4.301509e+10  \n",
       "Turkey                  7.987973e+11  7.182211e+11  \n",
       "Turkmenistan            4.348561e+10  3.733423e+10  \n",
       "Tuvalu                  3.785955e+07           NaN  \n",
       "Uganda                  2.699848e+10  2.636924e+10  \n",
       "Ukraine                 1.318051e+11  9.061502e+10  \n",
       "United Arab Emirates    3.994513e+11  3.702927e+11  \n",
       "United Kingdom          2.990201e+12  2.848755e+12  \n",
       "United States           1.734807e+13  1.794700e+13  \n",
       "Upper middle income     2.133305e+13  1.973288e+13  \n",
       "Uruguay                 5.723577e+10  5.344270e+10  \n",
       "Uzbekistan              6.313285e+10  6.673280e+10  \n",
       "Vanuatu                 8.149546e+08           NaN  \n",
       "Venezuela, RB                    NaN           NaN  \n",
       "Vietnam                 1.862047e+11  1.935994e+11  \n",
       "Virgin Islands (U.S.)            NaN           NaN  \n",
       "West Bank and Gaza      1.271560e+10  1.267740e+10  \n",
       "World                   7.810634e+13  7.343364e+13  \n",
       "Yemen, Rep.                      NaN           NaN  \n",
       "Zambia                  2.713464e+10  2.120156e+10  \n",
       "Zimbabwe                1.419691e+10  1.389294e+10  \n",
       "\n",
       "[252 rows x 112 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack().unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "            year  country               \n",
       "Population  1960  Afghanistan               8.994793e+06\n",
       "                  Albania                            NaN\n",
       "                  Algeria                   1.112489e+07\n",
       "                  Andorra                            NaN\n",
       "                  Angola                             NaN\n",
       "                  Antigua and Barbuda                NaN\n",
       "                  Arab World                         NaN\n",
       "                  Argentina                          NaN\n",
       "                  Armenia                            NaN\n",
       "                  Aruba                              NaN\n",
       "                  Australia                 1.027648e+07\n",
       "                  Austria                   7.047539e+06\n",
       "                  Azerbaijan                         NaN\n",
       "                  Bahamas, The              1.095260e+05\n",
       "                  Bahrain                            NaN\n",
       "                  Bangladesh                4.820070e+07\n",
       "                  Barbados                           NaN\n",
       "                  Belarus                            NaN\n",
       "                  Belgium                   9.153489e+06\n",
       "                  Belize                    9.206800e+04\n",
       "                  Benin                     2.431620e+06\n",
       "                  Bermuda                   4.440000e+04\n",
       "                  Bhutan                             NaN\n",
       "                  Bolivia                   3.693451e+06\n",
       "                  Bosnia and Herzegovina             NaN\n",
       "                  Botswana                  5.240290e+05\n",
       "                  Brazil                    7.249358e+07\n",
       "                  Brunei Darussalam                  NaN\n",
       "                  Bulgaria                           NaN\n",
       "                  Burkina Faso              4.829291e+06\n",
       "                                                ...     \n",
       "GDP         2015  Switzerland               6.647375e+11\n",
       "                  Syrian Arab Republic               NaN\n",
       "                  Tajikistan                7.853450e+09\n",
       "                  Tanzania                  4.489539e+10\n",
       "                  Thailand                  3.952816e+11\n",
       "                  Timor-Leste               1.412378e+09\n",
       "                  Togo                      4.002724e+09\n",
       "                  Tonga                              NaN\n",
       "                  Trinidad and Tobago       2.780575e+10\n",
       "                  Tunisia                   4.301509e+10\n",
       "                  Turkey                    7.182211e+11\n",
       "                  Turkmenistan              3.733423e+10\n",
       "                  Tuvalu                             NaN\n",
       "                  Uganda                    2.636924e+10\n",
       "                  Ukraine                   9.061502e+10\n",
       "                  United Arab Emirates      3.702927e+11\n",
       "                  United Kingdom            2.848755e+12\n",
       "                  United States             1.794700e+13\n",
       "                  Upper middle income       1.973288e+13\n",
       "                  Uruguay                   5.344270e+10\n",
       "                  Uzbekistan                6.673280e+10\n",
       "                  Vanuatu                            NaN\n",
       "                  Venezuela, RB                      NaN\n",
       "                  Vietnam                   1.935994e+11\n",
       "                  Virgin Islands (U.S.)              NaN\n",
       "                  West Bank and Gaza        1.267740e+10\n",
       "                  World                     7.343364e+13\n",
       "                  Yemen, Rep.                        NaN\n",
       "                  Zambia                    2.120156e+10\n",
       "                  Zimbabwe                  1.389294e+10\n",
       "Length: 28224, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack().unstack().unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "      <th>GDP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Arab World</th>\n",
       "      <th>2015</th>\n",
       "      <td>392022276.0</td>\n",
       "      <td>2.530102e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>384222592.0</td>\n",
       "      <td>2.873600e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>376504253.0</td>\n",
       "      <td>2.846994e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>368802611.0</td>\n",
       "      <td>2.773270e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>361031820.0</td>\n",
       "      <td>2.497945e+12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Population           GDP\n",
       "country    year                           \n",
       "Arab World 2015  392022276.0  2.530102e+12\n",
       "           2014  384222592.0  2.873600e+12\n",
       "           2013  376504253.0  2.846994e+12\n",
       "           2012  368802611.0  2.773270e+12\n",
       "           2011  361031820.0  2.497945e+12"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world = pd.read_csv(\"worldstats.csv\",index_col=[\"country\",\"year\"])\n",
    "world.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = world.stack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "country     year            \n",
       "Arab World  2015  Population    3.920223e+08\n",
       "                  GDP           2.530102e+12\n",
       "            2014  Population    3.842226e+08\n",
       "dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.head(3)"
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "      <th>GDP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Afghanistan</th>\n",
       "      <th>1960</th>\n",
       "      <td>8994793.0</td>\n",
       "      <td>5.377778e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <td>9164945.0</td>\n",
       "      <td>5.488889e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>9343772.0</td>\n",
       "      <td>5.466667e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963</th>\n",
       "      <td>9531555.0</td>\n",
       "      <td>7.511112e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>9728645.0</td>\n",
       "      <td>8.000000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1965</th>\n",
       "      <td>9935358.0</td>\n",
       "      <td>1.006667e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1966</th>\n",
       "      <td>10148841.0</td>\n",
       "      <td>1.400000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1967</th>\n",
       "      <td>10368600.0</td>\n",
       "      <td>1.673333e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1968</th>\n",
       "      <td>10599790.0</td>\n",
       "      <td>1.373333e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1969</th>\n",
       "      <td>10849510.0</td>\n",
       "      <td>1.408889e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>11121097.0</td>\n",
       "      <td>1.748887e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971</th>\n",
       "      <td>11412821.0</td>\n",
       "      <td>1.831109e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>11716896.0</td>\n",
       "      <td>1.595555e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1973</th>\n",
       "      <td>12022514.0</td>\n",
       "      <td>1.733333e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1974</th>\n",
       "      <td>12315553.0</td>\n",
       "      <td>2.155555e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975</th>\n",
       "      <td>12582954.0</td>\n",
       "      <td>2.366667e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1976</th>\n",
       "      <td>12831361.0</td>\n",
       "      <td>2.555556e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1977</th>\n",
       "      <td>13056499.0</td>\n",
       "      <td>2.953333e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1978</th>\n",
       "      <td>13222547.0</td>\n",
       "      <td>3.300000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1979</th>\n",
       "      <td>13283279.0</td>\n",
       "      <td>3.697940e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>13211412.0</td>\n",
       "      <td>3.641723e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981</th>\n",
       "      <td>12996923.0</td>\n",
       "      <td>3.478788e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>20531160.0</td>\n",
       "      <td>2.461666e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>21487079.0</td>\n",
       "      <td>4.128818e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>22507368.0</td>\n",
       "      <td>4.583649e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>23499850.0</td>\n",
       "      <td>5.285462e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>24399948.0</td>\n",
       "      <td>6.275076e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>25183615.0</td>\n",
       "      <td>7.057598e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>25877544.0</td>\n",
       "      <td>9.843842e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>26528741.0</td>\n",
       "      <td>1.019053e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Zimbabwe</th>\n",
       "      <th>1986</th>\n",
       "      <td>9198874.0</td>\n",
       "      <td>6.217524e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>9535657.0</td>\n",
       "      <td>6.741215e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>9866776.0</td>\n",
       "      <td>7.814784e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>10184966.0</td>\n",
       "      <td>8.286323e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>10484771.0</td>\n",
       "      <td>8.783817e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>10763036.0</td>\n",
       "      <td>8.641482e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>11019717.0</td>\n",
       "      <td>6.751472e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>11256512.0</td>\n",
       "      <td>6.563813e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>11476807.0</td>\n",
       "      <td>6.890675e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>11683136.0</td>\n",
       "      <td>7.111271e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>11877664.0</td>\n",
       "      <td>8.553147e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>12059858.0</td>\n",
       "      <td>8.529572e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>12226742.0</td>\n",
       "      <td>6.401968e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>12374019.0</td>\n",
       "      <td>6.858013e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>12499981.0</td>\n",
       "      <td>6.689958e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>12603988.0</td>\n",
       "      <td>6.777385e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>12691431.0</td>\n",
       "      <td>6.342116e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>12774162.0</td>\n",
       "      <td>5.727592e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>12867828.0</td>\n",
       "      <td>5.805598e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>12984418.0</td>\n",
       "      <td>5.755215e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>13127942.0</td>\n",
       "      <td>5.443896e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>13297798.0</td>\n",
       "      <td>5.291950e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>13495462.0</td>\n",
       "      <td>4.415703e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>13720997.0</td>\n",
       "      <td>8.157077e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>13973897.0</td>\n",
       "      <td>9.422161e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>14255592.0</td>\n",
       "      <td>1.095623e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>14565482.0</td>\n",
       "      <td>1.239272e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>14898092.0</td>\n",
       "      <td>1.349023e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>15245855.0</td>\n",
       "      <td>1.419691e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>15602751.0</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11211 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Population           GDP\n",
       "country     year                          \n",
       "Afghanistan 1960   8994793.0  5.377778e+08\n",
       "            1961   9164945.0  5.488889e+08\n",
       "            1962   9343772.0  5.466667e+08\n",
       "            1963   9531555.0  7.511112e+08\n",
       "            1964   9728645.0  8.000000e+08\n",
       "            1965   9935358.0  1.006667e+09\n",
       "            1966  10148841.0  1.400000e+09\n",
       "            1967  10368600.0  1.673333e+09\n",
       "            1968  10599790.0  1.373333e+09\n",
       "            1969  10849510.0  1.408889e+09\n",
       "            1970  11121097.0  1.748887e+09\n",
       "            1971  11412821.0  1.831109e+09\n",
       "            1972  11716896.0  1.595555e+09\n",
       "            1973  12022514.0  1.733333e+09\n",
       "            1974  12315553.0  2.155555e+09\n",
       "            1975  12582954.0  2.366667e+09\n",
       "            1976  12831361.0  2.555556e+09\n",
       "            1977  13056499.0  2.953333e+09\n",
       "            1978  13222547.0  3.300000e+09\n",
       "            1979  13283279.0  3.697940e+09\n",
       "            1980  13211412.0  3.641723e+09\n",
       "            1981  12996923.0  3.478788e+09\n",
       "            2001  20531160.0  2.461666e+09\n",
       "            2002  21487079.0  4.128818e+09\n",
       "            2003  22507368.0  4.583649e+09\n",
       "            2004  23499850.0  5.285462e+09\n",
       "            2005  24399948.0  6.275076e+09\n",
       "            2006  25183615.0  7.057598e+09\n",
       "            2007  25877544.0  9.843842e+09\n",
       "            2008  26528741.0  1.019053e+10\n",
       "...                      ...           ...\n",
       "Zimbabwe    1986   9198874.0  6.217524e+09\n",
       "            1987   9535657.0  6.741215e+09\n",
       "            1988   9866776.0  7.814784e+09\n",
       "            1989  10184966.0  8.286323e+09\n",
       "            1990  10484771.0  8.783817e+09\n",
       "            1991  10763036.0  8.641482e+09\n",
       "            1992  11019717.0  6.751472e+09\n",
       "            1993  11256512.0  6.563813e+09\n",
       "            1994  11476807.0  6.890675e+09\n",
       "            1995  11683136.0  7.111271e+09\n",
       "            1996  11877664.0  8.553147e+09\n",
       "            1997  12059858.0  8.529572e+09\n",
       "            1998  12226742.0  6.401968e+09\n",
       "            1999  12374019.0  6.858013e+09\n",
       "            2000  12499981.0  6.689958e+09\n",
       "            2001  12603988.0  6.777385e+09\n",
       "            2002  12691431.0  6.342116e+09\n",
       "            2003  12774162.0  5.727592e+09\n",
       "            2004  12867828.0  5.805598e+09\n",
       "            2005  12984418.0  5.755215e+09\n",
       "            2006  13127942.0  5.443896e+09\n",
       "            2007  13297798.0  5.291950e+09\n",
       "            2008  13495462.0  4.415703e+09\n",
       "            2009  13720997.0  8.157077e+09\n",
       "            2010  13973897.0  9.422161e+09\n",
       "            2011  14255592.0  1.095623e+10\n",
       "            2012  14565482.0  1.239272e+10\n",
       "            2013  14898092.0  1.349023e+10\n",
       "            2014  15245855.0  1.419691e+10\n",
       "            2015  15602751.0  1.389294e+10\n",
       "\n",
       "[11211 rows x 2 columns]"
      ]
     },
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>Afghanistan</th>\n",
       "      <th>Albania</th>\n",
       "      <th>Algeria</th>\n",
       "      <th>Andorra</th>\n",
       "      <th>Angola</th>\n",
       "      <th>Antigua and Barbuda</th>\n",
       "      <th>Arab World</th>\n",
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       "      <th>Uzbekistan</th>\n",
       "      <th>Vanuatu</th>\n",
       "      <th>Venezuela, RB</th>\n",
       "      <th>Vietnam</th>\n",
       "      <th>Virgin Islands (U.S.)</th>\n",
       "      <th>West Bank and Gaza</th>\n",
       "      <th>World</th>\n",
       "      <th>Yemen, Rep.</th>\n",
       "      <th>Zambia</th>\n",
       "      <th>Zimbabwe</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1960</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.994793e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.112489e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.146845e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.035056e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.049586e+06</td>\n",
       "      <td>3.752390e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.377778e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.723638e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.607600e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24200000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.364643e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.987397e+08</td>\n",
       "      <td>1.052990e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1961</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.164945e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.140486e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.461684e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.076121e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.142848e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.488889e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.434767e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.923367e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25700000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.420440e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.823597e+08</td>\n",
       "      <td>1.096647e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1962</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.343772e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.169015e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.128768e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.790590e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.129064e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.240664e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.466667e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.001461e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.445060e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.873398e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36900000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.524573e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.792797e+08</td>\n",
       "      <td>1.117602e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1963</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.531555e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.198513e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.162184e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.130346e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38700.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.193947e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.342894e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>7.511112e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.703004e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.827212e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.066338e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41400000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.638187e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.043397e+08</td>\n",
       "      <td>1.159512e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1964</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.728645e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.229597e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.195393e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.476255e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.259355e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.449266e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>8.000000e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.909340e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.560525e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.113581e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53800000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.799675e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.226397e+08</td>\n",
       "      <td>1.217138e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1965</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.935358e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.262695e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.228339e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.824694e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.326054e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.559687e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.006667e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.136284e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.834471e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.602945e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66500000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.959900e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.061200e+09</td>\n",
       "      <td>1.311436e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1966</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.014884e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.298027e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.260875e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.017514e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.395866e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.674088e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.400000e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.039859e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.863047e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.009657e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84100000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.125397e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.239000e+09</td>\n",
       "      <td>1.281750e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1967</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.036860e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.335420e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.293220e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.052805e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.465297e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.792864e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.673333e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.370870e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.425667e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.047278e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115400000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.262923e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.340639e+09</td>\n",
       "      <td>1.397002e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1968</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.059979e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.374438e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.155571e+08</td>\n",
       "      <td>2.326127e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.088200e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54600.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.535512e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.916928e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.373333e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.852147e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.552596e+10</td>\n",
       "      <td>2.643686e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.147091e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173800000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.440549e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.573739e+09</td>\n",
       "      <td>1.479600e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1969</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.084951e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.414444e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.188239e+08</td>\n",
       "      <td>2.360599e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.123549e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58600.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.609910e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.047479e+06</td>\n",
       "      <td>5.036321e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.408889e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.257253e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.817577e+10</td>\n",
       "      <td>3.125628e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.192757e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>211300000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.686747e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.926399e+09</td>\n",
       "      <td>1.747999e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1970</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.112110e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.455003e+07</td>\n",
       "      <td>2.427900e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.221282e+08</td>\n",
       "      <td>2.397306e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.158776e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.684997e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.185378e+06</td>\n",
       "      <td>5.206311e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.748887e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.863488e+09</td>\n",
       "      <td>7.861762e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.109149e+10</td>\n",
       "      <td>3.158421e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.299312e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>219000000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.950656e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.788779e+09</td>\n",
       "      <td>1.884206e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1971</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.141282e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.496011e+07</td>\n",
       "      <td>2.556000e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.254391e+08</td>\n",
       "      <td>2.436644e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.193780e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.762290e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.331002e+06</td>\n",
       "      <td>5.385342e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.831109e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.077222e+09</td>\n",
       "      <td>8.940659e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.610721e+10</td>\n",
       "      <td>3.329320e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.447156e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>257000000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.259057e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.653259e+09</td>\n",
       "      <td>2.178716e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1972</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.171690e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.537710e+07</td>\n",
       "      <td>2.689200e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.288012e+08</td>\n",
       "      <td>2.478295e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.228643e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.839016e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.484141e+06</td>\n",
       "      <td>5.573312e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.595555e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.761786e+09</td>\n",
       "      <td>1.134144e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.296931e+10</td>\n",
       "      <td>3.473300e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.592287e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>307100000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.757853e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.872417e+09</td>\n",
       "      <td>2.677729e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1973</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.202251e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.580443e+07</td>\n",
       "      <td>2.823100e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.322990e+08</td>\n",
       "      <td>2.521339e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.263697e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.914800e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.644329e+06</td>\n",
       "      <td>5.768382e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.733333e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.715106e+09</td>\n",
       "      <td>1.508416e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.459015e+10</td>\n",
       "      <td>5.254400e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.944593e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>351600000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.578523e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.434255e+09</td>\n",
       "      <td>3.309354e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1974</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.231555e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.624711e+07</td>\n",
       "      <td>2.951400e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.360445e+08</td>\n",
       "      <td>2.564450e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.299402e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.991194e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.810810e+06</td>\n",
       "      <td>5.967861e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.155555e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.320971e+10</td>\n",
       "      <td>1.865572e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.046016e+11</td>\n",
       "      <td>7.243678e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.908710e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>395400000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.279355e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.910981e+09</td>\n",
       "      <td>3.982161e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2001</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.053116e+07</td>\n",
       "      <td>3.060173e+06</td>\n",
       "      <td>3.159032e+07</td>\n",
       "      <td>6.777000e+04</td>\n",
       "      <td>1.556279e+07</td>\n",
       "      <td>7.897200e+04</td>\n",
       "      <td>2.872918e+08</td>\n",
       "      <td>3.747154e+07</td>\n",
       "      <td>3.060036e+06</td>\n",
       "      <td>9.289400e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>2.496445e+07</td>\n",
       "      <td>1.892880e+05</td>\n",
       "      <td>2.494022e+07</td>\n",
       "      <td>7.862050e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.997784e+06</td>\n",
       "      <td>6.195590e+09</td>\n",
       "      <td>1.830629e+07</td>\n",
       "      <td>1.086124e+07</td>\n",
       "      <td>1.260399e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.461666e+09</td>\n",
       "      <td>4.060759e+09</td>\n",
       "      <td>5.474471e+10</td>\n",
       "      <td>1.484005e+09</td>\n",
       "      <td>8.936064e+09</td>\n",
       "      <td>7.737652e+08</td>\n",
       "      <td>7.221506e+11</td>\n",
       "      <td>2.686968e+11</td>\n",
       "      <td>2.118468e+09</td>\n",
       "      <td>1.920263e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.140135e+10</td>\n",
       "      <td>2.579269e+08</td>\n",
       "      <td>1.229097e+11</td>\n",
       "      <td>3.529135e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.003700e+09</td>\n",
       "      <td>3.313421e+13</td>\n",
       "      <td>9.854042e+09</td>\n",
       "      <td>4.094481e+09</td>\n",
       "      <td>6.777385e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2002</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.148708e+07</td>\n",
       "      <td>3.051010e+06</td>\n",
       "      <td>3.199039e+07</td>\n",
       "      <td>7.104600e+04</td>\n",
       "      <td>1.610970e+07</td>\n",
       "      <td>8.003000e+04</td>\n",
       "      <td>2.934026e+08</td>\n",
       "      <td>3.788944e+07</td>\n",
       "      <td>3.047249e+06</td>\n",
       "      <td>9.499500e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>2.527185e+07</td>\n",
       "      <td>1.939570e+05</td>\n",
       "      <td>2.539914e+07</td>\n",
       "      <td>7.953770e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.075373e+06</td>\n",
       "      <td>6.274734e+09</td>\n",
       "      <td>1.883210e+07</td>\n",
       "      <td>1.113998e+07</td>\n",
       "      <td>1.269143e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>4.128818e+09</td>\n",
       "      <td>4.435079e+09</td>\n",
       "      <td>5.676029e+10</td>\n",
       "      <td>1.717564e+09</td>\n",
       "      <td>1.249735e+10</td>\n",
       "      <td>8.025293e+08</td>\n",
       "      <td>7.279939e+11</td>\n",
       "      <td>9.772451e+10</td>\n",
       "      <td>2.376335e+09</td>\n",
       "      <td>1.941095e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>9.687951e+09</td>\n",
       "      <td>2.626038e+08</td>\n",
       "      <td>9.288959e+10</td>\n",
       "      <td>3.794790e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.555800e+09</td>\n",
       "      <td>3.441805e+13</td>\n",
       "      <td>1.069328e+10</td>\n",
       "      <td>4.193846e+09</td>\n",
       "      <td>6.342116e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2003</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.250737e+07</td>\n",
       "      <td>3.039616e+06</td>\n",
       "      <td>3.239489e+07</td>\n",
       "      <td>7.478300e+04</td>\n",
       "      <td>1.669140e+07</td>\n",
       "      <td>8.090400e+04</td>\n",
       "      <td>2.997320e+08</td>\n",
       "      <td>3.830948e+07</td>\n",
       "      <td>3.036420e+06</td>\n",
       "      <td>9.701500e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>2.556765e+07</td>\n",
       "      <td>1.989630e+05</td>\n",
       "      <td>2.585755e+07</td>\n",
       "      <td>8.046740e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.154969e+06</td>\n",
       "      <td>6.353976e+09</td>\n",
       "      <td>1.937401e+07</td>\n",
       "      <td>1.142601e+07</td>\n",
       "      <td>1.277416e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>4.583649e+09</td>\n",
       "      <td>5.746946e+09</td>\n",
       "      <td>6.786383e+10</td>\n",
       "      <td>2.373836e+09</td>\n",
       "      <td>1.418895e+10</td>\n",
       "      <td>8.399964e+08</td>\n",
       "      <td>8.218702e+11</td>\n",
       "      <td>1.275863e+11</td>\n",
       "      <td>2.807061e+09</td>\n",
       "      <td>2.021302e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.012811e+10</td>\n",
       "      <td>3.144631e+08</td>\n",
       "      <td>8.362219e+10</td>\n",
       "      <td>4.271707e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.968000e+09</td>\n",
       "      <td>3.865630e+13</td>\n",
       "      <td>1.177777e+10</td>\n",
       "      <td>4.901840e+09</td>\n",
       "      <td>5.727592e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2004</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.349985e+07</td>\n",
       "      <td>3.026939e+06</td>\n",
       "      <td>3.281722e+07</td>\n",
       "      <td>7.833700e+04</td>\n",
       "      <td>1.729550e+07</td>\n",
       "      <td>8.171800e+04</td>\n",
       "      <td>3.063874e+08</td>\n",
       "      <td>3.872878e+07</td>\n",
       "      <td>3.025982e+06</td>\n",
       "      <td>9.874200e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>2.586435e+07</td>\n",
       "      <td>2.041440e+05</td>\n",
       "      <td>2.631448e+07</td>\n",
       "      <td>8.143640e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.236626e+06</td>\n",
       "      <td>6.433749e+09</td>\n",
       "      <td>1.993162e+07</td>\n",
       "      <td>1.172564e+07</td>\n",
       "      <td>1.286783e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.285462e+09</td>\n",
       "      <td>7.314865e+09</td>\n",
       "      <td>8.532500e+10</td>\n",
       "      <td>2.916913e+09</td>\n",
       "      <td>1.964085e+10</td>\n",
       "      <td>8.983561e+08</td>\n",
       "      <td>9.639180e+11</td>\n",
       "      <td>1.818731e+11</td>\n",
       "      <td>3.576615e+09</td>\n",
       "      <td>2.228279e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.203002e+10</td>\n",
       "      <td>3.649969e+08</td>\n",
       "      <td>1.124514e+11</td>\n",
       "      <td>4.942411e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.329200e+09</td>\n",
       "      <td>4.355213e+13</td>\n",
       "      <td>1.387350e+10</td>\n",
       "      <td>6.221078e+09</td>\n",
       "      <td>5.805598e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2005</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.439995e+07</td>\n",
       "      <td>3.011487e+06</td>\n",
       "      <td>3.326789e+07</td>\n",
       "      <td>8.122300e+04</td>\n",
       "      <td>1.791294e+07</td>\n",
       "      <td>8.256500e+04</td>\n",
       "      <td>3.134309e+08</td>\n",
       "      <td>3.914549e+07</td>\n",
       "      <td>3.014917e+06</td>\n",
       "      <td>1.000310e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.616700e+07</td>\n",
       "      <td>2.093750e+05</td>\n",
       "      <td>2.676912e+07</td>\n",
       "      <td>8.239210e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.320396e+06</td>\n",
       "      <td>6.513960e+09</td>\n",
       "      <td>2.050438e+07</td>\n",
       "      <td>1.204359e+07</td>\n",
       "      <td>1.298442e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.275076e+09</td>\n",
       "      <td>8.158549e+09</td>\n",
       "      <td>1.031982e+11</td>\n",
       "      <td>3.248135e+09</td>\n",
       "      <td>2.823371e+10</td>\n",
       "      <td>9.973741e+08</td>\n",
       "      <td>1.184735e+12</td>\n",
       "      <td>2.208138e+11</td>\n",
       "      <td>4.900470e+09</td>\n",
       "      <td>2.331006e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.430751e+10</td>\n",
       "      <td>3.949626e+08</td>\n",
       "      <td>1.455135e+11</td>\n",
       "      <td>5.763326e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.831800e+09</td>\n",
       "      <td>4.714259e+13</td>\n",
       "      <td>1.675377e+10</td>\n",
       "      <td>8.331870e+09</td>\n",
       "      <td>5.755215e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2006</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.518362e+07</td>\n",
       "      <td>2.992547e+06</td>\n",
       "      <td>3.374933e+07</td>\n",
       "      <td>8.337300e+04</td>\n",
       "      <td>1.854147e+07</td>\n",
       "      <td>8.346700e+04</td>\n",
       "      <td>3.209067e+08</td>\n",
       "      <td>3.955875e+07</td>\n",
       "      <td>3.002161e+06</td>\n",
       "      <td>1.008300e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.648825e+07</td>\n",
       "      <td>2.146350e+05</td>\n",
       "      <td>2.722123e+07</td>\n",
       "      <td>8.331120e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.406334e+06</td>\n",
       "      <td>6.594722e+09</td>\n",
       "      <td>2.109397e+07</td>\n",
       "      <td>1.238151e+07</td>\n",
       "      <td>1.312794e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>7.057598e+09</td>\n",
       "      <td>8.992642e+09</td>\n",
       "      <td>1.170273e+11</td>\n",
       "      <td>3.536452e+09</td>\n",
       "      <td>4.178948e+10</td>\n",
       "      <td>1.135144e+09</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>2.626665e+11</td>\n",
       "      <td>6.384452e+09</td>\n",
       "      <td>2.421475e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.703090e+10</td>\n",
       "      <td>4.393768e+08</td>\n",
       "      <td>1.834775e+11</td>\n",
       "      <td>6.637166e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.910100e+09</td>\n",
       "      <td>5.107451e+13</td>\n",
       "      <td>1.908173e+10</td>\n",
       "      <td>1.275686e+10</td>\n",
       "      <td>5.443896e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2007</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.587754e+07</td>\n",
       "      <td>2.970017e+06</td>\n",
       "      <td>3.426197e+07</td>\n",
       "      <td>8.487800e+04</td>\n",
       "      <td>1.918391e+07</td>\n",
       "      <td>8.439700e+04</td>\n",
       "      <td>3.287666e+08</td>\n",
       "      <td>3.996990e+07</td>\n",
       "      <td>2.988117e+06</td>\n",
       "      <td>1.012180e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.686800e+07</td>\n",
       "      <td>2.199560e+05</td>\n",
       "      <td>2.767066e+07</td>\n",
       "      <td>8.421850e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.494496e+06</td>\n",
       "      <td>6.675833e+09</td>\n",
       "      <td>2.170110e+07</td>\n",
       "      <td>1.273868e+07</td>\n",
       "      <td>1.329780e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>9.843842e+09</td>\n",
       "      <td>1.070101e+10</td>\n",
       "      <td>1.349771e+11</td>\n",
       "      <td>4.010785e+09</td>\n",
       "      <td>6.044892e+10</td>\n",
       "      <td>1.289254e+09</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>3.293175e+11</td>\n",
       "      <td>9.206302e+09</td>\n",
       "      <td>2.623726e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>2.231139e+10</td>\n",
       "      <td>5.264283e+08</td>\n",
       "      <td>2.303642e+11</td>\n",
       "      <td>7.741443e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.505800e+09</td>\n",
       "      <td>5.758343e+13</td>\n",
       "      <td>2.563367e+10</td>\n",
       "      <td>1.405696e+10</td>\n",
       "      <td>5.291950e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2008</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.652874e+07</td>\n",
       "      <td>2.947314e+06</td>\n",
       "      <td>3.481106e+07</td>\n",
       "      <td>8.561600e+04</td>\n",
       "      <td>1.984225e+07</td>\n",
       "      <td>8.535000e+04</td>\n",
       "      <td>3.368865e+08</td>\n",
       "      <td>4.038186e+07</td>\n",
       "      <td>2.975029e+06</td>\n",
       "      <td>1.013420e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.730280e+07</td>\n",
       "      <td>2.253350e+05</td>\n",
       "      <td>2.811672e+07</td>\n",
       "      <td>8.511870e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.596688e+06</td>\n",
       "      <td>6.758303e+09</td>\n",
       "      <td>2.232270e+07</td>\n",
       "      <td>1.311458e+07</td>\n",
       "      <td>1.349546e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.019053e+10</td>\n",
       "      <td>1.288135e+10</td>\n",
       "      <td>1.710007e+11</td>\n",
       "      <td>4.001349e+09</td>\n",
       "      <td>8.417803e+10</td>\n",
       "      <td>1.347350e+09</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>4.037820e+11</td>\n",
       "      <td>1.166204e+10</td>\n",
       "      <td>2.791961e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>2.793403e+10</td>\n",
       "      <td>6.079586e+08</td>\n",
       "      <td>3.156002e+11</td>\n",
       "      <td>9.913030e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.673500e+09</td>\n",
       "      <td>6.312856e+13</td>\n",
       "      <td>3.039720e+10</td>\n",
       "      <td>1.791086e+10</td>\n",
       "      <td>4.415703e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2009</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.720729e+07</td>\n",
       "      <td>2.927519e+06</td>\n",
       "      <td>3.540179e+07</td>\n",
       "      <td>8.547400e+04</td>\n",
       "      <td>2.052010e+07</td>\n",
       "      <td>8.630000e+04</td>\n",
       "      <td>3.450542e+08</td>\n",
       "      <td>4.079864e+07</td>\n",
       "      <td>2.966108e+06</td>\n",
       "      <td>1.014160e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.776740e+07</td>\n",
       "      <td>2.307820e+05</td>\n",
       "      <td>2.855861e+07</td>\n",
       "      <td>8.602500e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.702218e+06</td>\n",
       "      <td>6.840956e+09</td>\n",
       "      <td>2.295423e+07</td>\n",
       "      <td>1.350785e+07</td>\n",
       "      <td>1.372100e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.248694e+10</td>\n",
       "      <td>1.204421e+10</td>\n",
       "      <td>1.372110e+11</td>\n",
       "      <td>3.649863e+09</td>\n",
       "      <td>7.549238e+10</td>\n",
       "      <td>1.206410e+09</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>3.766279e+11</td>\n",
       "      <td>8.647937e+09</td>\n",
       "      <td>2.498933e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>3.281683e+10</td>\n",
       "      <td>6.100666e+08</td>\n",
       "      <td>3.294190e+11</td>\n",
       "      <td>1.060146e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.268200e+09</td>\n",
       "      <td>5.983553e+13</td>\n",
       "      <td>2.845950e+10</td>\n",
       "      <td>1.532834e+10</td>\n",
       "      <td>8.157077e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2010</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.796221e+07</td>\n",
       "      <td>2.913021e+06</td>\n",
       "      <td>3.603616e+07</td>\n",
       "      <td>8.441900e+04</td>\n",
       "      <td>2.121995e+07</td>\n",
       "      <td>8.723300e+04</td>\n",
       "      <td>3.531122e+08</td>\n",
       "      <td>4.122288e+07</td>\n",
       "      <td>2.963496e+06</td>\n",
       "      <td>1.015970e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.856240e+07</td>\n",
       "      <td>2.362990e+05</td>\n",
       "      <td>2.899574e+07</td>\n",
       "      <td>8.693250e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.811102e+06</td>\n",
       "      <td>6.923684e+09</td>\n",
       "      <td>2.359197e+07</td>\n",
       "      <td>1.391744e+07</td>\n",
       "      <td>1.397390e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.593680e+10</td>\n",
       "      <td>1.192695e+10</td>\n",
       "      <td>1.612073e+11</td>\n",
       "      <td>3.346317e+09</td>\n",
       "      <td>8.247091e+10</td>\n",
       "      <td>1.135539e+09</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>4.616402e+11</td>\n",
       "      <td>9.260285e+09</td>\n",
       "      <td>2.467704e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>3.933277e+10</td>\n",
       "      <td>7.008043e+08</td>\n",
       "      <td>3.938015e+11</td>\n",
       "      <td>1.159317e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.913100e+09</td>\n",
       "      <td>6.564782e+13</td>\n",
       "      <td>3.090675e+10</td>\n",
       "      <td>2.026555e+10</td>\n",
       "      <td>9.422161e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2011</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.880917e+07</td>\n",
       "      <td>2.904780e+06</td>\n",
       "      <td>3.671713e+07</td>\n",
       "      <td>8.232600e+04</td>\n",
       "      <td>2.194230e+07</td>\n",
       "      <td>8.815200e+04</td>\n",
       "      <td>3.610318e+08</td>\n",
       "      <td>4.165562e+07</td>\n",
       "      <td>2.967984e+06</td>\n",
       "      <td>1.019360e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.933940e+07</td>\n",
       "      <td>2.418760e+05</td>\n",
       "      <td>2.942763e+07</td>\n",
       "      <td>8.786030e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.927051e+06</td>\n",
       "      <td>7.006908e+09</td>\n",
       "      <td>2.423494e+07</td>\n",
       "      <td>1.434353e+07</td>\n",
       "      <td>1.425559e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.793024e+10</td>\n",
       "      <td>1.289087e+10</td>\n",
       "      <td>2.000131e+11</td>\n",
       "      <td>3.427236e+09</td>\n",
       "      <td>1.041159e+11</td>\n",
       "      <td>1.129918e+09</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>5.578902e+11</td>\n",
       "      <td>1.014211e+10</td>\n",
       "      <td>2.584464e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>4.532432e+10</td>\n",
       "      <td>7.921497e+08</td>\n",
       "      <td>3.164822e+11</td>\n",
       "      <td>1.355395e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.045985e+10</td>\n",
       "      <td>7.284314e+13</td>\n",
       "      <td>3.107886e+10</td>\n",
       "      <td>2.345952e+10</td>\n",
       "      <td>1.095623e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2012</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.972680e+07</td>\n",
       "      <td>2.900247e+06</td>\n",
       "      <td>3.743943e+07</td>\n",
       "      <td>7.931600e+04</td>\n",
       "      <td>2.268563e+07</td>\n",
       "      <td>8.906900e+04</td>\n",
       "      <td>3.688026e+08</td>\n",
       "      <td>4.209522e+07</td>\n",
       "      <td>2.978339e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.977450e+07</td>\n",
       "      <td>2.474980e+05</td>\n",
       "      <td>2.985424e+07</td>\n",
       "      <td>8.880920e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.046901e+06</td>\n",
       "      <td>7.089452e+09</td>\n",
       "      <td>2.488279e+07</td>\n",
       "      <td>1.478658e+07</td>\n",
       "      <td>1.456548e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.053654e+10</td>\n",
       "      <td>1.231978e+10</td>\n",
       "      <td>2.090474e+11</td>\n",
       "      <td>3.146178e+09</td>\n",
       "      <td>1.153984e+11</td>\n",
       "      <td>1.204713e+09</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>6.043785e+11</td>\n",
       "      <td>1.061932e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>5.118344e+10</td>\n",
       "      <td>7.817029e+08</td>\n",
       "      <td>3.812862e+11</td>\n",
       "      <td>1.558200e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.127940e+10</td>\n",
       "      <td>7.442836e+13</td>\n",
       "      <td>3.207477e+10</td>\n",
       "      <td>2.550306e+10</td>\n",
       "      <td>1.239272e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2013</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.068250e+07</td>\n",
       "      <td>2.896652e+06</td>\n",
       "      <td>3.818614e+07</td>\n",
       "      <td>7.590200e+04</td>\n",
       "      <td>2.344820e+07</td>\n",
       "      <td>8.998500e+04</td>\n",
       "      <td>3.765043e+08</td>\n",
       "      <td>4.253830e+07</td>\n",
       "      <td>2.992192e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.024320e+07</td>\n",
       "      <td>2.531650e+05</td>\n",
       "      <td>3.027604e+07</td>\n",
       "      <td>8.975950e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.169506e+06</td>\n",
       "      <td>7.176092e+09</td>\n",
       "      <td>2.553322e+07</td>\n",
       "      <td>1.524609e+07</td>\n",
       "      <td>1.489809e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.004633e+10</td>\n",
       "      <td>1.278103e+10</td>\n",
       "      <td>2.097035e+11</td>\n",
       "      <td>3.249101e+09</td>\n",
       "      <td>1.249121e+11</td>\n",
       "      <td>1.200588e+09</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>6.239320e+11</td>\n",
       "      <td>1.112147e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>5.679566e+10</td>\n",
       "      <td>8.017876e+08</td>\n",
       "      <td>3.713366e+11</td>\n",
       "      <td>1.712220e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.247600e+10</td>\n",
       "      <td>7.643132e+13</td>\n",
       "      <td>3.595450e+10</td>\n",
       "      <td>2.804552e+10</td>\n",
       "      <td>1.349023e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2014</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.162751e+07</td>\n",
       "      <td>2.893654e+06</td>\n",
       "      <td>3.893433e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.422752e+07</td>\n",
       "      <td>9.090000e+04</td>\n",
       "      <td>3.842226e+08</td>\n",
       "      <td>4.298003e+07</td>\n",
       "      <td>3.006154e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.075770e+07</td>\n",
       "      <td>2.588830e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.072890e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.294682e+06</td>\n",
       "      <td>7.260780e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.572134e+07</td>\n",
       "      <td>1.524586e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.005019e+10</td>\n",
       "      <td>1.327796e+10</td>\n",
       "      <td>2.135185e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.267751e+11</td>\n",
       "      <td>1.220976e+09</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>5.480549e+11</td>\n",
       "      <td>1.164444e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.313285e+10</td>\n",
       "      <td>8.149546e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.862047e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.271560e+10</td>\n",
       "      <td>7.810634e+13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.713464e+10</td>\n",
       "      <td>1.419691e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2015</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.252656e+07</td>\n",
       "      <td>2.889167e+06</td>\n",
       "      <td>3.966652e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.502197e+07</td>\n",
       "      <td>9.181800e+04</td>\n",
       "      <td>3.920223e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.017712e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.129950e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.170380e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.422143e+06</td>\n",
       "      <td>7.346633e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.621177e+07</td>\n",
       "      <td>1.560275e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.919944e+10</td>\n",
       "      <td>1.145560e+10</td>\n",
       "      <td>1.668386e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.026431e+11</td>\n",
       "      <td>1.297285e+09</td>\n",
       "      <td>2.530102e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.056140e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.673280e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.935994e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.267740e+10</td>\n",
       "      <td>7.343364e+13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.120156e+10</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>112 rows × 252 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "country           Afghanistan       Albania       Algeria       Andorra  \\\n",
       "year                                                                      \n",
       "1960 Population  8.994793e+06           NaN  1.112489e+07           NaN   \n",
       "     GDP         5.377778e+08           NaN  2.723638e+09           NaN   \n",
       "1961 Population  9.164945e+06           NaN  1.140486e+07           NaN   \n",
       "     GDP         5.488889e+08           NaN  2.434767e+09           NaN   \n",
       "1962 Population  9.343772e+06           NaN  1.169015e+07           NaN   \n",
       "     GDP         5.466667e+08           NaN  2.001461e+09           NaN   \n",
       "1963 Population  9.531555e+06           NaN  1.198513e+07           NaN   \n",
       "     GDP         7.511112e+08           NaN  2.703004e+09           NaN   \n",
       "1964 Population  9.728645e+06           NaN  1.229597e+07           NaN   \n",
       "     GDP         8.000000e+08           NaN  2.909340e+09           NaN   \n",
       "1965 Population  9.935358e+06           NaN  1.262695e+07           NaN   \n",
       "     GDP         1.006667e+09           NaN  3.136284e+09           NaN   \n",
       "1966 Population  1.014884e+07           NaN  1.298027e+07           NaN   \n",
       "     GDP         1.400000e+09           NaN  3.039859e+09           NaN   \n",
       "1967 Population  1.036860e+07           NaN  1.335420e+07           NaN   \n",
       "     GDP         1.673333e+09           NaN  3.370870e+09           NaN   \n",
       "1968 Population  1.059979e+07           NaN  1.374438e+07           NaN   \n",
       "     GDP         1.373333e+09           NaN  3.852147e+09           NaN   \n",
       "1969 Population  1.084951e+07           NaN  1.414444e+07           NaN   \n",
       "     GDP         1.408889e+09           NaN  4.257253e+09           NaN   \n",
       "1970 Population  1.112110e+07           NaN  1.455003e+07  2.427900e+04   \n",
       "     GDP         1.748887e+09           NaN  4.863488e+09  7.861762e+07   \n",
       "1971 Population  1.141282e+07           NaN  1.496011e+07  2.556000e+04   \n",
       "     GDP         1.831109e+09           NaN  5.077222e+09  8.940659e+07   \n",
       "1972 Population  1.171690e+07           NaN  1.537710e+07  2.689200e+04   \n",
       "     GDP         1.595555e+09           NaN  6.761786e+09  1.134144e+08   \n",
       "1973 Population  1.202251e+07           NaN  1.580443e+07  2.823100e+04   \n",
       "     GDP         1.733333e+09           NaN  8.715106e+09  1.508416e+08   \n",
       "1974 Population  1.231555e+07           NaN  1.624711e+07  2.951400e+04   \n",
       "     GDP         2.155555e+09           NaN  1.320971e+10  1.865572e+08   \n",
       "...                       ...           ...           ...           ...   \n",
       "2001 Population  2.053116e+07  3.060173e+06  3.159032e+07  6.777000e+04   \n",
       "     GDP         2.461666e+09  4.060759e+09  5.474471e+10  1.484005e+09   \n",
       "2002 Population  2.148708e+07  3.051010e+06  3.199039e+07  7.104600e+04   \n",
       "     GDP         4.128818e+09  4.435079e+09  5.676029e+10  1.717564e+09   \n",
       "2003 Population  2.250737e+07  3.039616e+06  3.239489e+07  7.478300e+04   \n",
       "     GDP         4.583649e+09  5.746946e+09  6.786383e+10  2.373836e+09   \n",
       "2004 Population  2.349985e+07  3.026939e+06  3.281722e+07  7.833700e+04   \n",
       "     GDP         5.285462e+09  7.314865e+09  8.532500e+10  2.916913e+09   \n",
       "2005 Population  2.439995e+07  3.011487e+06  3.326789e+07  8.122300e+04   \n",
       "     GDP         6.275076e+09  8.158549e+09  1.031982e+11  3.248135e+09   \n",
       "2006 Population  2.518362e+07  2.992547e+06  3.374933e+07  8.337300e+04   \n",
       "     GDP         7.057598e+09  8.992642e+09  1.170273e+11  3.536452e+09   \n",
       "2007 Population  2.587754e+07  2.970017e+06  3.426197e+07  8.487800e+04   \n",
       "     GDP         9.843842e+09  1.070101e+10  1.349771e+11  4.010785e+09   \n",
       "2008 Population  2.652874e+07  2.947314e+06  3.481106e+07  8.561600e+04   \n",
       "     GDP         1.019053e+10  1.288135e+10  1.710007e+11  4.001349e+09   \n",
       "2009 Population  2.720729e+07  2.927519e+06  3.540179e+07  8.547400e+04   \n",
       "     GDP         1.248694e+10  1.204421e+10  1.372110e+11  3.649863e+09   \n",
       "2010 Population  2.796221e+07  2.913021e+06  3.603616e+07  8.441900e+04   \n",
       "     GDP         1.593680e+10  1.192695e+10  1.612073e+11  3.346317e+09   \n",
       "2011 Population  2.880917e+07  2.904780e+06  3.671713e+07  8.232600e+04   \n",
       "     GDP         1.793024e+10  1.289087e+10  2.000131e+11  3.427236e+09   \n",
       "2012 Population  2.972680e+07  2.900247e+06  3.743943e+07  7.931600e+04   \n",
       "     GDP         2.053654e+10  1.231978e+10  2.090474e+11  3.146178e+09   \n",
       "2013 Population  3.068250e+07  2.896652e+06  3.818614e+07  7.590200e+04   \n",
       "     GDP         2.004633e+10  1.278103e+10  2.097035e+11  3.249101e+09   \n",
       "2014 Population  3.162751e+07  2.893654e+06  3.893433e+07           NaN   \n",
       "     GDP         2.005019e+10  1.327796e+10  2.135185e+11           NaN   \n",
       "2015 Population  3.252656e+07  2.889167e+06  3.966652e+07           NaN   \n",
       "     GDP         1.919944e+10  1.145560e+10  1.668386e+11           NaN   \n",
       "\n",
       "country                Angola  Antigua and Barbuda    Arab World  \\\n",
       "year                                                               \n",
       "1960 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1961 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1962 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1963 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1964 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1965 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1966 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1967 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1968 Population           NaN                  NaN  1.155571e+08   \n",
       "     GDP                  NaN                  NaN  2.552596e+10   \n",
       "1969 Population           NaN                  NaN  1.188239e+08   \n",
       "     GDP                  NaN                  NaN  2.817577e+10   \n",
       "1970 Population           NaN                  NaN  1.221282e+08   \n",
       "     GDP                  NaN                  NaN  3.109149e+10   \n",
       "1971 Population           NaN                  NaN  1.254391e+08   \n",
       "     GDP                  NaN                  NaN  3.610721e+10   \n",
       "1972 Population           NaN                  NaN  1.288012e+08   \n",
       "     GDP                  NaN                  NaN  4.296931e+10   \n",
       "1973 Population           NaN                  NaN  1.322990e+08   \n",
       "     GDP                  NaN                  NaN  5.459015e+10   \n",
       "1974 Population           NaN                  NaN  1.360445e+08   \n",
       "     GDP                  NaN                  NaN  1.046016e+11   \n",
       "...                       ...                  ...           ...   \n",
       "2001 Population  1.556279e+07         7.897200e+04  2.872918e+08   \n",
       "     GDP         8.936064e+09         7.737652e+08  7.221506e+11   \n",
       "2002 Population  1.610970e+07         8.003000e+04  2.934026e+08   \n",
       "     GDP         1.249735e+10         8.025293e+08  7.279939e+11   \n",
       "2003 Population  1.669140e+07         8.090400e+04  2.997320e+08   \n",
       "     GDP         1.418895e+10         8.399964e+08  8.218702e+11   \n",
       "2004 Population  1.729550e+07         8.171800e+04  3.063874e+08   \n",
       "     GDP         1.964085e+10         8.983561e+08  9.639180e+11   \n",
       "2005 Population  1.791294e+07         8.256500e+04  3.134309e+08   \n",
       "     GDP         2.823371e+10         9.973741e+08  1.184735e+12   \n",
       "2006 Population  1.854147e+07         8.346700e+04  3.209067e+08   \n",
       "     GDP         4.178948e+10         1.135144e+09  1.404190e+12   \n",
       "2007 Population  1.918391e+07         8.439700e+04  3.287666e+08   \n",
       "     GDP         6.044892e+10         1.289254e+09  1.641666e+12   \n",
       "2008 Population  1.984225e+07         8.535000e+04  3.368865e+08   \n",
       "     GDP         8.417803e+10         1.347350e+09  2.081343e+12   \n",
       "2009 Population  2.052010e+07         8.630000e+04  3.450542e+08   \n",
       "     GDP         7.549238e+10         1.206410e+09  1.798878e+12   \n",
       "2010 Population  2.121995e+07         8.723300e+04  3.531122e+08   \n",
       "     GDP         8.247091e+10         1.135539e+09  2.103825e+12   \n",
       "2011 Population  2.194230e+07         8.815200e+04  3.610318e+08   \n",
       "     GDP         1.041159e+11         1.129918e+09  2.497945e+12   \n",
       "2012 Population  2.268563e+07         8.906900e+04  3.688026e+08   \n",
       "     GDP         1.153984e+11         1.204713e+09  2.773270e+12   \n",
       "2013 Population  2.344820e+07         8.998500e+04  3.765043e+08   \n",
       "     GDP         1.249121e+11         1.200588e+09  2.846994e+12   \n",
       "2014 Population  2.422752e+07         9.090000e+04  3.842226e+08   \n",
       "     GDP         1.267751e+11         1.220976e+09  2.873600e+12   \n",
       "2015 Population  2.502197e+07         9.181800e+04  3.920223e+08   \n",
       "     GDP         1.026431e+11         1.297285e+09  2.530102e+12   \n",
       "\n",
       "country             Argentina       Armenia         Aruba  ...    Uzbekistan  \\\n",
       "year                                                       ...                 \n",
       "1960 Population           NaN           NaN           NaN  ...           NaN   \n",
       "     GDP                  NaN           NaN           NaN  ...           NaN   \n",
       "1961 Population           NaN           NaN           NaN  ...           NaN   \n",
       "     GDP                  NaN           NaN           NaN  ...           NaN   \n",
       "1962 Population  2.128768e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.445060e+10           NaN           NaN  ...           NaN   \n",
       "1963 Population  2.162184e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         1.827212e+10           NaN           NaN  ...           NaN   \n",
       "1964 Population  2.195393e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.560525e+10           NaN           NaN  ...           NaN   \n",
       "1965 Population  2.228339e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.834471e+10           NaN           NaN  ...           NaN   \n",
       "1966 Population  2.260875e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.863047e+10           NaN           NaN  ...           NaN   \n",
       "1967 Population  2.293220e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.425667e+10           NaN           NaN  ...           NaN   \n",
       "1968 Population  2.326127e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.643686e+10           NaN           NaN  ...           NaN   \n",
       "1969 Population  2.360599e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         3.125628e+10           NaN           NaN  ...           NaN   \n",
       "1970 Population  2.397306e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         3.158421e+10           NaN           NaN  ...           NaN   \n",
       "1971 Population  2.436644e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         3.329320e+10           NaN           NaN  ...           NaN   \n",
       "1972 Population  2.478295e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         3.473300e+10           NaN           NaN  ...           NaN   \n",
       "1973 Population  2.521339e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         5.254400e+10           NaN           NaN  ...           NaN   \n",
       "1974 Population  2.564450e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         7.243678e+10           NaN           NaN  ...           NaN   \n",
       "...                       ...           ...           ...  ...           ...   \n",
       "2001 Population  3.747154e+07  3.060036e+06  9.289400e+04  ...  2.496445e+07   \n",
       "     GDP         2.686968e+11  2.118468e+09  1.920263e+09  ...  1.140135e+10   \n",
       "2002 Population  3.788944e+07  3.047249e+06  9.499500e+04  ...  2.527185e+07   \n",
       "     GDP         9.772451e+10  2.376335e+09  1.941095e+09  ...  9.687951e+09   \n",
       "2003 Population  3.830948e+07  3.036420e+06  9.701500e+04  ...  2.556765e+07   \n",
       "     GDP         1.275863e+11  2.807061e+09  2.021302e+09  ...  1.012811e+10   \n",
       "2004 Population  3.872878e+07  3.025982e+06  9.874200e+04  ...  2.586435e+07   \n",
       "     GDP         1.818731e+11  3.576615e+09  2.228279e+09  ...  1.203002e+10   \n",
       "2005 Population  3.914549e+07  3.014917e+06  1.000310e+05  ...  2.616700e+07   \n",
       "     GDP         2.208138e+11  4.900470e+09  2.331006e+09  ...  1.430751e+10   \n",
       "2006 Population  3.955875e+07  3.002161e+06  1.008300e+05  ...  2.648825e+07   \n",
       "     GDP         2.626665e+11  6.384452e+09  2.421475e+09  ...  1.703090e+10   \n",
       "2007 Population  3.996990e+07  2.988117e+06  1.012180e+05  ...  2.686800e+07   \n",
       "     GDP         3.293175e+11  9.206302e+09  2.623726e+09  ...  2.231139e+10   \n",
       "2008 Population  4.038186e+07  2.975029e+06  1.013420e+05  ...  2.730280e+07   \n",
       "     GDP         4.037820e+11  1.166204e+10  2.791961e+09  ...  2.793403e+10   \n",
       "2009 Population  4.079864e+07  2.966108e+06  1.014160e+05  ...  2.776740e+07   \n",
       "     GDP         3.766279e+11  8.647937e+09  2.498933e+09  ...  3.281683e+10   \n",
       "2010 Population  4.122288e+07  2.963496e+06  1.015970e+05  ...  2.856240e+07   \n",
       "     GDP         4.616402e+11  9.260285e+09  2.467704e+09  ...  3.933277e+10   \n",
       "2011 Population  4.165562e+07  2.967984e+06  1.019360e+05  ...  2.933940e+07   \n",
       "     GDP         5.578902e+11  1.014211e+10  2.584464e+09  ...  4.532432e+10   \n",
       "2012 Population  4.209522e+07  2.978339e+06           NaN  ...  2.977450e+07   \n",
       "     GDP         6.043785e+11  1.061932e+10           NaN  ...  5.118344e+10   \n",
       "2013 Population  4.253830e+07  2.992192e+06           NaN  ...  3.024320e+07   \n",
       "     GDP         6.239320e+11  1.112147e+10           NaN  ...  5.679566e+10   \n",
       "2014 Population  4.298003e+07  3.006154e+06           NaN  ...  3.075770e+07   \n",
       "     GDP         5.480549e+11  1.164444e+10           NaN  ...  6.313285e+10   \n",
       "2015 Population           NaN  3.017712e+06           NaN  ...  3.129950e+07   \n",
       "     GDP                  NaN  1.056140e+10           NaN  ...  6.673280e+10   \n",
       "\n",
       "country               Vanuatu  Venezuela, RB       Vietnam  \\\n",
       "year                                                         \n",
       "1960 Population           NaN   8.146845e+06           NaN   \n",
       "     GDP                  NaN   8.607600e+09           NaN   \n",
       "1961 Population           NaN   8.461684e+06           NaN   \n",
       "     GDP                  NaN   8.923367e+09           NaN   \n",
       "1962 Population           NaN   8.790590e+06           NaN   \n",
       "     GDP                  NaN   9.873398e+09           NaN   \n",
       "1963 Population           NaN   9.130346e+06           NaN   \n",
       "     GDP                  NaN   1.066338e+10           NaN   \n",
       "1964 Population           NaN   9.476255e+06           NaN   \n",
       "     GDP                  NaN   9.113581e+09           NaN   \n",
       "1965 Population           NaN   9.824694e+06           NaN   \n",
       "     GDP                  NaN   9.602945e+09           NaN   \n",
       "1966 Population           NaN   1.017514e+07           NaN   \n",
       "     GDP                  NaN   1.009657e+10           NaN   \n",
       "1967 Population           NaN   1.052805e+07           NaN   \n",
       "     GDP                  NaN   1.047278e+10           NaN   \n",
       "1968 Population           NaN   1.088200e+07           NaN   \n",
       "     GDP                  NaN   1.147091e+10           NaN   \n",
       "1969 Population           NaN   1.123549e+07           NaN   \n",
       "     GDP                  NaN   1.192757e+10           NaN   \n",
       "1970 Population           NaN   1.158776e+07           NaN   \n",
       "     GDP                  NaN   1.299312e+10           NaN   \n",
       "1971 Population           NaN   1.193780e+07           NaN   \n",
       "     GDP                  NaN   1.447156e+10           NaN   \n",
       "1972 Population           NaN   1.228643e+07           NaN   \n",
       "     GDP                  NaN   1.592287e+10           NaN   \n",
       "1973 Population           NaN   1.263697e+07           NaN   \n",
       "     GDP                  NaN   1.944593e+10           NaN   \n",
       "1974 Population           NaN   1.299402e+07           NaN   \n",
       "     GDP                  NaN   2.908710e+10           NaN   \n",
       "...                       ...            ...           ...   \n",
       "2001 Population  1.892880e+05   2.494022e+07  7.862050e+07   \n",
       "     GDP         2.579269e+08   1.229097e+11  3.529135e+10   \n",
       "2002 Population  1.939570e+05   2.539914e+07  7.953770e+07   \n",
       "     GDP         2.626038e+08   9.288959e+10  3.794790e+10   \n",
       "2003 Population  1.989630e+05   2.585755e+07  8.046740e+07   \n",
       "     GDP         3.144631e+08   8.362219e+10  4.271707e+10   \n",
       "2004 Population  2.041440e+05   2.631448e+07  8.143640e+07   \n",
       "     GDP         3.649969e+08   1.124514e+11  4.942411e+10   \n",
       "2005 Population  2.093750e+05   2.676912e+07  8.239210e+07   \n",
       "     GDP         3.949626e+08   1.455135e+11  5.763326e+10   \n",
       "2006 Population  2.146350e+05   2.722123e+07  8.331120e+07   \n",
       "     GDP         4.393768e+08   1.834775e+11  6.637166e+10   \n",
       "2007 Population  2.199560e+05   2.767066e+07  8.421850e+07   \n",
       "     GDP         5.264283e+08   2.303642e+11  7.741443e+10   \n",
       "2008 Population  2.253350e+05   2.811672e+07  8.511870e+07   \n",
       "     GDP         6.079586e+08   3.156002e+11  9.913030e+10   \n",
       "2009 Population  2.307820e+05   2.855861e+07  8.602500e+07   \n",
       "     GDP         6.100666e+08   3.294190e+11  1.060146e+11   \n",
       "2010 Population  2.362990e+05   2.899574e+07  8.693250e+07   \n",
       "     GDP         7.008043e+08   3.938015e+11  1.159317e+11   \n",
       "2011 Population  2.418760e+05   2.942763e+07  8.786030e+07   \n",
       "     GDP         7.921497e+08   3.164822e+11  1.355395e+11   \n",
       "2012 Population  2.474980e+05   2.985424e+07  8.880920e+07   \n",
       "     GDP         7.817029e+08   3.812862e+11  1.558200e+11   \n",
       "2013 Population  2.531650e+05   3.027604e+07  8.975950e+07   \n",
       "     GDP         8.017876e+08   3.713366e+11  1.712220e+11   \n",
       "2014 Population  2.588830e+05            NaN  9.072890e+07   \n",
       "     GDP         8.149546e+08            NaN  1.862047e+11   \n",
       "2015 Population           NaN            NaN  9.170380e+07   \n",
       "     GDP                  NaN            NaN  1.935994e+11   \n",
       "\n",
       "country          Virgin Islands (U.S.)  West Bank and Gaza         World  \\\n",
       "year                                                                       \n",
       "1960 Population                32000.0                 NaN  3.035056e+09   \n",
       "     GDP                    24200000.0                 NaN  1.364643e+12   \n",
       "1961 Population                34100.0                 NaN  3.076121e+09   \n",
       "     GDP                    25700000.0                 NaN  1.420440e+12   \n",
       "1962 Population                36300.0                 NaN  3.129064e+09   \n",
       "     GDP                    36900000.0                 NaN  1.524573e+12   \n",
       "1963 Population                38700.0                 NaN  3.193947e+09   \n",
       "     GDP                    41400000.0                 NaN  1.638187e+12   \n",
       "1964 Population                41300.0                 NaN  3.259355e+09   \n",
       "     GDP                    53800000.0                 NaN  1.799675e+12   \n",
       "1965 Population                44000.0                 NaN  3.326054e+09   \n",
       "     GDP                    66500000.0                 NaN  1.959900e+12   \n",
       "1966 Population                47300.0                 NaN  3.395866e+09   \n",
       "     GDP                    84100000.0                 NaN  2.125397e+12   \n",
       "1967 Population                50800.0                 NaN  3.465297e+09   \n",
       "     GDP                   115400000.0                 NaN  2.262923e+12   \n",
       "1968 Population                54600.0                 NaN  3.535512e+09   \n",
       "     GDP                   173800000.0                 NaN  2.440549e+12   \n",
       "1969 Population                58600.0                 NaN  3.609910e+09   \n",
       "     GDP                   211300000.0                 NaN  2.686747e+12   \n",
       "1970 Population                63000.0                 NaN  3.684997e+09   \n",
       "     GDP                   219000000.0                 NaN  2.950656e+12   \n",
       "1971 Population                71000.0                 NaN  3.762290e+09   \n",
       "     GDP                   257000000.0                 NaN  3.259057e+12   \n",
       "1972 Population                76000.0                 NaN  3.839016e+09   \n",
       "     GDP                   307100000.0                 NaN  3.757853e+12   \n",
       "1973 Population                84000.0                 NaN  3.914800e+09   \n",
       "     GDP                   351600000.0                 NaN  4.578523e+12   \n",
       "1974 Population                90000.0                 NaN  3.991194e+09   \n",
       "     GDP                   395400000.0                 NaN  5.279355e+12   \n",
       "...                                ...                 ...           ...   \n",
       "2001 Population                    NaN        2.997784e+06  6.195590e+09   \n",
       "     GDP                           NaN        4.003700e+09  3.313421e+13   \n",
       "2002 Population                    NaN        3.075373e+06  6.274734e+09   \n",
       "     GDP                           NaN        3.555800e+09  3.441805e+13   \n",
       "2003 Population                    NaN        3.154969e+06  6.353976e+09   \n",
       "     GDP                           NaN        3.968000e+09  3.865630e+13   \n",
       "2004 Population                    NaN        3.236626e+06  6.433749e+09   \n",
       "     GDP                           NaN        4.329200e+09  4.355213e+13   \n",
       "2005 Population                    NaN        3.320396e+06  6.513960e+09   \n",
       "     GDP                           NaN        4.831800e+09  4.714259e+13   \n",
       "2006 Population                    NaN        3.406334e+06  6.594722e+09   \n",
       "     GDP                           NaN        4.910100e+09  5.107451e+13   \n",
       "2007 Population                    NaN        3.494496e+06  6.675833e+09   \n",
       "     GDP                           NaN        5.505800e+09  5.758343e+13   \n",
       "2008 Population                    NaN        3.596688e+06  6.758303e+09   \n",
       "     GDP                           NaN        6.673500e+09  6.312856e+13   \n",
       "2009 Population                    NaN        3.702218e+06  6.840956e+09   \n",
       "     GDP                           NaN        7.268200e+09  5.983553e+13   \n",
       "2010 Population                    NaN        3.811102e+06  6.923684e+09   \n",
       "     GDP                           NaN        8.913100e+09  6.564782e+13   \n",
       "2011 Population                    NaN        3.927051e+06  7.006908e+09   \n",
       "     GDP                           NaN        1.045985e+10  7.284314e+13   \n",
       "2012 Population                    NaN        4.046901e+06  7.089452e+09   \n",
       "     GDP                           NaN        1.127940e+10  7.442836e+13   \n",
       "2013 Population                    NaN        4.169506e+06  7.176092e+09   \n",
       "     GDP                           NaN        1.247600e+10  7.643132e+13   \n",
       "2014 Population                    NaN        4.294682e+06  7.260780e+09   \n",
       "     GDP                           NaN        1.271560e+10  7.810634e+13   \n",
       "2015 Population                    NaN        4.422143e+06  7.346633e+09   \n",
       "     GDP                           NaN        1.267740e+10  7.343364e+13   \n",
       "\n",
       "country           Yemen, Rep.        Zambia      Zimbabwe  \n",
       "year                                                       \n",
       "1960 Population           NaN  3.049586e+06  3.752390e+06  \n",
       "     GDP                  NaN  6.987397e+08  1.052990e+09  \n",
       "1961 Population           NaN  3.142848e+06  3.876638e+06  \n",
       "     GDP                  NaN  6.823597e+08  1.096647e+09  \n",
       "1962 Population           NaN  3.240664e+06  4.006262e+06  \n",
       "     GDP                  NaN  6.792797e+08  1.117602e+09  \n",
       "1963 Population           NaN  3.342894e+06  4.140804e+06  \n",
       "     GDP                  NaN  7.043397e+08  1.159512e+09  \n",
       "1964 Population           NaN  3.449266e+06  4.279561e+06  \n",
       "     GDP                  NaN  8.226397e+08  1.217138e+09  \n",
       "1965 Population           NaN  3.559687e+06  4.422132e+06  \n",
       "     GDP                  NaN  1.061200e+09  1.311436e+09  \n",
       "1966 Population           NaN  3.674088e+06  4.568320e+06  \n",
       "     GDP                  NaN  1.239000e+09  1.281750e+09  \n",
       "1967 Population           NaN  3.792864e+06  4.718612e+06  \n",
       "     GDP                  NaN  1.340639e+09  1.397002e+09  \n",
       "1968 Population           NaN  3.916928e+06  4.874113e+06  \n",
       "     GDP                  NaN  1.573739e+09  1.479600e+09  \n",
       "1969 Population           NaN  4.047479e+06  5.036321e+06  \n",
       "     GDP                  NaN  1.926399e+09  1.747999e+09  \n",
       "1970 Population           NaN  4.185378e+06  5.206311e+06  \n",
       "     GDP                  NaN  1.788779e+09  1.884206e+09  \n",
       "1971 Population           NaN  4.331002e+06  5.385342e+06  \n",
       "     GDP                  NaN  1.653259e+09  2.178716e+09  \n",
       "1972 Population           NaN  4.484141e+06  5.573312e+06  \n",
       "     GDP                  NaN  1.872417e+09  2.677729e+09  \n",
       "1973 Population           NaN  4.644329e+06  5.768382e+06  \n",
       "     GDP                  NaN  2.434255e+09  3.309354e+09  \n",
       "1974 Population           NaN  4.810810e+06  5.967861e+06  \n",
       "     GDP                  NaN  2.910981e+09  3.982161e+09  \n",
       "...                       ...           ...           ...  \n",
       "2001 Population  1.830629e+07  1.086124e+07  1.260399e+07  \n",
       "     GDP         9.854042e+09  4.094481e+09  6.777385e+09  \n",
       "2002 Population  1.883210e+07  1.113998e+07  1.269143e+07  \n",
       "     GDP         1.069328e+10  4.193846e+09  6.342116e+09  \n",
       "2003 Population  1.937401e+07  1.142601e+07  1.277416e+07  \n",
       "     GDP         1.177777e+10  4.901840e+09  5.727592e+09  \n",
       "2004 Population  1.993162e+07  1.172564e+07  1.286783e+07  \n",
       "     GDP         1.387350e+10  6.221078e+09  5.805598e+09  \n",
       "2005 Population  2.050438e+07  1.204359e+07  1.298442e+07  \n",
       "     GDP         1.675377e+10  8.331870e+09  5.755215e+09  \n",
       "2006 Population  2.109397e+07  1.238151e+07  1.312794e+07  \n",
       "     GDP         1.908173e+10  1.275686e+10  5.443896e+09  \n",
       "2007 Population  2.170110e+07  1.273868e+07  1.329780e+07  \n",
       "     GDP         2.563367e+10  1.405696e+10  5.291950e+09  \n",
       "2008 Population  2.232270e+07  1.311458e+07  1.349546e+07  \n",
       "     GDP         3.039720e+10  1.791086e+10  4.415703e+09  \n",
       "2009 Population  2.295423e+07  1.350785e+07  1.372100e+07  \n",
       "     GDP         2.845950e+10  1.532834e+10  8.157077e+09  \n",
       "2010 Population  2.359197e+07  1.391744e+07  1.397390e+07  \n",
       "     GDP         3.090675e+10  2.026555e+10  9.422161e+09  \n",
       "2011 Population  2.423494e+07  1.434353e+07  1.425559e+07  \n",
       "     GDP         3.107886e+10  2.345952e+10  1.095623e+10  \n",
       "2012 Population  2.488279e+07  1.478658e+07  1.456548e+07  \n",
       "     GDP         3.207477e+10  2.550306e+10  1.239272e+10  \n",
       "2013 Population  2.553322e+07  1.524609e+07  1.489809e+07  \n",
       "     GDP         3.595450e+10  2.804552e+10  1.349023e+10  \n",
       "2014 Population           NaN  1.572134e+07  1.524586e+07  \n",
       "     GDP                  NaN  2.713464e+10  1.419691e+10  \n",
       "2015 Population           NaN  1.621177e+07  1.560275e+07  \n",
       "     GDP                  NaN  2.120156e+10  1.389294e+10  \n",
       "\n",
       "[112 rows x 252 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
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       "      <th>2015</th>\n",
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       "    <tr>\n",
       "      <th>country</th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Afghanistan</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.994793e+06</td>\n",
       "      <td>9.164945e+06</td>\n",
       "      <td>9.343772e+06</td>\n",
       "      <td>9.531555e+06</td>\n",
       "      <td>9.728645e+06</td>\n",
       "      <td>9.935358e+06</td>\n",
       "      <td>1.014884e+07</td>\n",
       "      <td>1.036860e+07</td>\n",
       "      <td>1.059979e+07</td>\n",
       "      <td>1.084951e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.518362e+07</td>\n",
       "      <td>2.587754e+07</td>\n",
       "      <td>2.652874e+07</td>\n",
       "      <td>2.720729e+07</td>\n",
       "      <td>2.796221e+07</td>\n",
       "      <td>2.880917e+07</td>\n",
       "      <td>2.972680e+07</td>\n",
       "      <td>3.068250e+07</td>\n",
       "      <td>3.162751e+07</td>\n",
       "      <td>3.252656e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.377778e+08</td>\n",
       "      <td>5.488889e+08</td>\n",
       "      <td>5.466667e+08</td>\n",
       "      <td>7.511112e+08</td>\n",
       "      <td>8.000000e+08</td>\n",
       "      <td>1.006667e+09</td>\n",
       "      <td>1.400000e+09</td>\n",
       "      <td>1.673333e+09</td>\n",
       "      <td>1.373333e+09</td>\n",
       "      <td>1.408889e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>7.057598e+09</td>\n",
       "      <td>9.843842e+09</td>\n",
       "      <td>1.019053e+10</td>\n",
       "      <td>1.248694e+10</td>\n",
       "      <td>1.593680e+10</td>\n",
       "      <td>1.793024e+10</td>\n",
       "      <td>2.053654e+10</td>\n",
       "      <td>2.004633e+10</td>\n",
       "      <td>2.005019e+10</td>\n",
       "      <td>1.919944e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Albania</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.992547e+06</td>\n",
       "      <td>2.970017e+06</td>\n",
       "      <td>2.947314e+06</td>\n",
       "      <td>2.927519e+06</td>\n",
       "      <td>2.913021e+06</td>\n",
       "      <td>2.904780e+06</td>\n",
       "      <td>2.900247e+06</td>\n",
       "      <td>2.896652e+06</td>\n",
       "      <td>2.893654e+06</td>\n",
       "      <td>2.889167e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.992642e+09</td>\n",
       "      <td>1.070101e+10</td>\n",
       "      <td>1.288135e+10</td>\n",
       "      <td>1.204421e+10</td>\n",
       "      <td>1.192695e+10</td>\n",
       "      <td>1.289087e+10</td>\n",
       "      <td>1.231978e+10</td>\n",
       "      <td>1.278103e+10</td>\n",
       "      <td>1.327796e+10</td>\n",
       "      <td>1.145560e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Algeria</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.112489e+07</td>\n",
       "      <td>1.140486e+07</td>\n",
       "      <td>1.169015e+07</td>\n",
       "      <td>1.198513e+07</td>\n",
       "      <td>1.229597e+07</td>\n",
       "      <td>1.262695e+07</td>\n",
       "      <td>1.298027e+07</td>\n",
       "      <td>1.335420e+07</td>\n",
       "      <td>1.374438e+07</td>\n",
       "      <td>1.414444e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.374933e+07</td>\n",
       "      <td>3.426197e+07</td>\n",
       "      <td>3.481106e+07</td>\n",
       "      <td>3.540179e+07</td>\n",
       "      <td>3.603616e+07</td>\n",
       "      <td>3.671713e+07</td>\n",
       "      <td>3.743943e+07</td>\n",
       "      <td>3.818614e+07</td>\n",
       "      <td>3.893433e+07</td>\n",
       "      <td>3.966652e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.723638e+09</td>\n",
       "      <td>2.434767e+09</td>\n",
       "      <td>2.001461e+09</td>\n",
       "      <td>2.703004e+09</td>\n",
       "      <td>2.909340e+09</td>\n",
       "      <td>3.136284e+09</td>\n",
       "      <td>3.039859e+09</td>\n",
       "      <td>3.370870e+09</td>\n",
       "      <td>3.852147e+09</td>\n",
       "      <td>4.257253e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.170273e+11</td>\n",
       "      <td>1.349771e+11</td>\n",
       "      <td>1.710007e+11</td>\n",
       "      <td>1.372110e+11</td>\n",
       "      <td>1.612073e+11</td>\n",
       "      <td>2.000131e+11</td>\n",
       "      <td>2.090474e+11</td>\n",
       "      <td>2.097035e+11</td>\n",
       "      <td>2.135185e+11</td>\n",
       "      <td>1.668386e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Andorra</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.337300e+04</td>\n",
       "      <td>8.487800e+04</td>\n",
       "      <td>8.561600e+04</td>\n",
       "      <td>8.547400e+04</td>\n",
       "      <td>8.441900e+04</td>\n",
       "      <td>8.232600e+04</td>\n",
       "      <td>7.931600e+04</td>\n",
       "      <td>7.590200e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.536452e+09</td>\n",
       "      <td>4.010785e+09</td>\n",
       "      <td>4.001349e+09</td>\n",
       "      <td>3.649863e+09</td>\n",
       "      <td>3.346317e+09</td>\n",
       "      <td>3.427236e+09</td>\n",
       "      <td>3.146178e+09</td>\n",
       "      <td>3.249101e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Angola</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.854147e+07</td>\n",
       "      <td>1.918391e+07</td>\n",
       "      <td>1.984225e+07</td>\n",
       "      <td>2.052010e+07</td>\n",
       "      <td>2.121995e+07</td>\n",
       "      <td>2.194230e+07</td>\n",
       "      <td>2.268563e+07</td>\n",
       "      <td>2.344820e+07</td>\n",
       "      <td>2.422752e+07</td>\n",
       "      <td>2.502197e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.178948e+10</td>\n",
       "      <td>6.044892e+10</td>\n",
       "      <td>8.417803e+10</td>\n",
       "      <td>7.549238e+10</td>\n",
       "      <td>8.247091e+10</td>\n",
       "      <td>1.041159e+11</td>\n",
       "      <td>1.153984e+11</td>\n",
       "      <td>1.249121e+11</td>\n",
       "      <td>1.267751e+11</td>\n",
       "      <td>1.026431e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Antigua and Barbuda</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.346700e+04</td>\n",
       "      <td>8.439700e+04</td>\n",
       "      <td>8.535000e+04</td>\n",
       "      <td>8.630000e+04</td>\n",
       "      <td>8.723300e+04</td>\n",
       "      <td>8.815200e+04</td>\n",
       "      <td>8.906900e+04</td>\n",
       "      <td>8.998500e+04</td>\n",
       "      <td>9.090000e+04</td>\n",
       "      <td>9.181800e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.135144e+09</td>\n",
       "      <td>1.289254e+09</td>\n",
       "      <td>1.347350e+09</td>\n",
       "      <td>1.206410e+09</td>\n",
       "      <td>1.135539e+09</td>\n",
       "      <td>1.129918e+09</td>\n",
       "      <td>1.204713e+09</td>\n",
       "      <td>1.200588e+09</td>\n",
       "      <td>1.220976e+09</td>\n",
       "      <td>1.297285e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Arab World</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.155571e+08</td>\n",
       "      <td>1.188239e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>3.209067e+08</td>\n",
       "      <td>3.287666e+08</td>\n",
       "      <td>3.368865e+08</td>\n",
       "      <td>3.450542e+08</td>\n",
       "      <td>3.531122e+08</td>\n",
       "      <td>3.610318e+08</td>\n",
       "      <td>3.688026e+08</td>\n",
       "      <td>3.765043e+08</td>\n",
       "      <td>3.842226e+08</td>\n",
       "      <td>3.920223e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.552596e+10</td>\n",
       "      <td>2.817577e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>2.530102e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Argentina</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.128768e+07</td>\n",
       "      <td>2.162184e+07</td>\n",
       "      <td>2.195393e+07</td>\n",
       "      <td>2.228339e+07</td>\n",
       "      <td>2.260875e+07</td>\n",
       "      <td>2.293220e+07</td>\n",
       "      <td>2.326127e+07</td>\n",
       "      <td>2.360599e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.955875e+07</td>\n",
       "      <td>3.996990e+07</td>\n",
       "      <td>4.038186e+07</td>\n",
       "      <td>4.079864e+07</td>\n",
       "      <td>4.122288e+07</td>\n",
       "      <td>4.165562e+07</td>\n",
       "      <td>4.209522e+07</td>\n",
       "      <td>4.253830e+07</td>\n",
       "      <td>4.298003e+07</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.445060e+10</td>\n",
       "      <td>1.827212e+10</td>\n",
       "      <td>2.560525e+10</td>\n",
       "      <td>2.834471e+10</td>\n",
       "      <td>2.863047e+10</td>\n",
       "      <td>2.425667e+10</td>\n",
       "      <td>2.643686e+10</td>\n",
       "      <td>3.125628e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>2.626665e+11</td>\n",
       "      <td>3.293175e+11</td>\n",
       "      <td>4.037820e+11</td>\n",
       "      <td>3.766279e+11</td>\n",
       "      <td>4.616402e+11</td>\n",
       "      <td>5.578902e+11</td>\n",
       "      <td>6.043785e+11</td>\n",
       "      <td>6.239320e+11</td>\n",
       "      <td>5.480549e+11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Armenia</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.002161e+06</td>\n",
       "      <td>2.988117e+06</td>\n",
       "      <td>2.975029e+06</td>\n",
       "      <td>2.966108e+06</td>\n",
       "      <td>2.963496e+06</td>\n",
       "      <td>2.967984e+06</td>\n",
       "      <td>2.978339e+06</td>\n",
       "      <td>2.992192e+06</td>\n",
       "      <td>3.006154e+06</td>\n",
       "      <td>3.017712e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.384452e+09</td>\n",
       "      <td>9.206302e+09</td>\n",
       "      <td>1.166204e+10</td>\n",
       "      <td>8.647937e+09</td>\n",
       "      <td>9.260285e+09</td>\n",
       "      <td>1.014211e+10</td>\n",
       "      <td>1.061932e+10</td>\n",
       "      <td>1.112147e+10</td>\n",
       "      <td>1.164444e+10</td>\n",
       "      <td>1.056140e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Aruba</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.008300e+05</td>\n",
       "      <td>1.012180e+05</td>\n",
       "      <td>1.013420e+05</td>\n",
       "      <td>1.014160e+05</td>\n",
       "      <td>1.015970e+05</td>\n",
       "      <td>1.019360e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.421475e+09</td>\n",
       "      <td>2.623726e+09</td>\n",
       "      <td>2.791961e+09</td>\n",
       "      <td>2.498933e+09</td>\n",
       "      <td>2.467704e+09</td>\n",
       "      <td>2.584464e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Australia</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.027648e+07</td>\n",
       "      <td>1.048300e+07</td>\n",
       "      <td>1.074200e+07</td>\n",
       "      <td>1.095000e+07</td>\n",
       "      <td>1.116700e+07</td>\n",
       "      <td>1.138800e+07</td>\n",
       "      <td>1.165100e+07</td>\n",
       "      <td>1.179900e+07</td>\n",
       "      <td>1.200900e+07</td>\n",
       "      <td>1.226300e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.069790e+07</td>\n",
       "      <td>2.082760e+07</td>\n",
       "      <td>2.124920e+07</td>\n",
       "      <td>2.169170e+07</td>\n",
       "      <td>2.203175e+07</td>\n",
       "      <td>2.234002e+07</td>\n",
       "      <td>2.272825e+07</td>\n",
       "      <td>2.311735e+07</td>\n",
       "      <td>2.346409e+07</td>\n",
       "      <td>2.378117e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.856759e+10</td>\n",
       "      <td>1.963938e+10</td>\n",
       "      <td>1.988353e+10</td>\n",
       "      <td>2.149737e+10</td>\n",
       "      <td>2.375406e+10</td>\n",
       "      <td>2.592564e+10</td>\n",
       "      <td>2.725053e+10</td>\n",
       "      <td>3.037854e+10</td>\n",
       "      <td>3.264195e+10</td>\n",
       "      <td>3.660656e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>7.468808e+11</td>\n",
       "      <td>8.530533e+11</td>\n",
       "      <td>1.054558e+12</td>\n",
       "      <td>9.265638e+11</td>\n",
       "      <td>1.142251e+12</td>\n",
       "      <td>1.389919e+12</td>\n",
       "      <td>1.537478e+12</td>\n",
       "      <td>1.563951e+12</td>\n",
       "      <td>1.454675e+12</td>\n",
       "      <td>1.339539e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Austria</th>\n",
       "      <th>Population</th>\n",
       "      <td>7.047539e+06</td>\n",
       "      <td>7.086299e+06</td>\n",
       "      <td>7.129864e+06</td>\n",
       "      <td>7.175811e+06</td>\n",
       "      <td>7.223801e+06</td>\n",
       "      <td>7.270889e+06</td>\n",
       "      <td>7.322066e+06</td>\n",
       "      <td>7.376998e+06</td>\n",
       "      <td>7.415403e+06</td>\n",
       "      <td>7.441055e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>8.268641e+06</td>\n",
       "      <td>8.295487e+06</td>\n",
       "      <td>8.321496e+06</td>\n",
       "      <td>8.343323e+06</td>\n",
       "      <td>8.363404e+06</td>\n",
       "      <td>8.391643e+06</td>\n",
       "      <td>8.429991e+06</td>\n",
       "      <td>8.479375e+06</td>\n",
       "      <td>8.541575e+06</td>\n",
       "      <td>8.611088e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.592694e+09</td>\n",
       "      <td>7.311750e+09</td>\n",
       "      <td>7.756110e+09</td>\n",
       "      <td>8.374175e+09</td>\n",
       "      <td>9.169984e+09</td>\n",
       "      <td>9.994071e+09</td>\n",
       "      <td>1.088768e+10</td>\n",
       "      <td>1.157943e+10</td>\n",
       "      <td>1.244063e+10</td>\n",
       "      <td>1.358280e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>3.343094e+11</td>\n",
       "      <td>3.864590e+11</td>\n",
       "      <td>4.276115e+11</td>\n",
       "      <td>3.975943e+11</td>\n",
       "      <td>3.902351e+11</td>\n",
       "      <td>4.290107e+11</td>\n",
       "      <td>4.073730e+11</td>\n",
       "      <td>4.286986e+11</td>\n",
       "      <td>4.368875e+11</td>\n",
       "      <td>3.740559e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Azerbaijan</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.484550e+06</td>\n",
       "      <td>8.581300e+06</td>\n",
       "      <td>8.763400e+06</td>\n",
       "      <td>8.947243e+06</td>\n",
       "      <td>9.054332e+06</td>\n",
       "      <td>9.173082e+06</td>\n",
       "      <td>9.295784e+06</td>\n",
       "      <td>9.416801e+06</td>\n",
       "      <td>9.535079e+06</td>\n",
       "      <td>9.651349e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.098302e+10</td>\n",
       "      <td>3.305034e+10</td>\n",
       "      <td>4.885248e+10</td>\n",
       "      <td>4.429149e+10</td>\n",
       "      <td>5.290270e+10</td>\n",
       "      <td>6.595163e+10</td>\n",
       "      <td>6.873091e+10</td>\n",
       "      <td>7.356048e+10</td>\n",
       "      <td>7.519801e+10</td>\n",
       "      <td>5.304714e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bahamas, The</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.095260e+05</td>\n",
       "      <td>1.151080e+05</td>\n",
       "      <td>1.210830e+05</td>\n",
       "      <td>1.273310e+05</td>\n",
       "      <td>1.336970e+05</td>\n",
       "      <td>1.400490e+05</td>\n",
       "      <td>1.463640e+05</td>\n",
       "      <td>1.526070e+05</td>\n",
       "      <td>1.586290e+05</td>\n",
       "      <td>1.642500e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.358010e+05</td>\n",
       "      <td>3.422590e+05</td>\n",
       "      <td>3.485870e+05</td>\n",
       "      <td>3.547800e+05</td>\n",
       "      <td>3.608300e+05</td>\n",
       "      <td>3.667110e+05</td>\n",
       "      <td>3.723880e+05</td>\n",
       "      <td>3.778410e+05</td>\n",
       "      <td>3.830540e+05</td>\n",
       "      <td>3.880190e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.698023e+08</td>\n",
       "      <td>1.900962e+08</td>\n",
       "      <td>2.122528e+08</td>\n",
       "      <td>2.377428e+08</td>\n",
       "      <td>2.666641e+08</td>\n",
       "      <td>3.003922e+08</td>\n",
       "      <td>3.400000e+08</td>\n",
       "      <td>3.901961e+08</td>\n",
       "      <td>4.449020e+08</td>\n",
       "      <td>5.281373e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>7.965588e+09</td>\n",
       "      <td>8.318996e+09</td>\n",
       "      <td>8.246650e+09</td>\n",
       "      <td>7.820420e+09</td>\n",
       "      <td>7.909580e+09</td>\n",
       "      <td>7.889750e+09</td>\n",
       "      <td>8.234470e+09</td>\n",
       "      <td>8.431750e+09</td>\n",
       "      <td>8.510500e+09</td>\n",
       "      <td>8.884441e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bahrain</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>9.408080e+05</td>\n",
       "      <td>1.026568e+06</td>\n",
       "      <td>1.115777e+06</td>\n",
       "      <td>1.196774e+06</td>\n",
       "      <td>1.261319e+06</td>\n",
       "      <td>1.306014e+06</td>\n",
       "      <td>1.333577e+06</td>\n",
       "      <td>1.349427e+06</td>\n",
       "      <td>1.361930e+06</td>\n",
       "      <td>1.377237e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.850505e+10</td>\n",
       "      <td>2.173000e+10</td>\n",
       "      <td>2.571088e+10</td>\n",
       "      <td>2.293822e+10</td>\n",
       "      <td>2.571327e+10</td>\n",
       "      <td>2.904407e+10</td>\n",
       "      <td>3.075646e+10</td>\n",
       "      <td>3.289761e+10</td>\n",
       "      <td>3.385106e+10</td>\n",
       "      <td>3.222149e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United Arab Emirates</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>5.171255e+06</td>\n",
       "      <td>6.010100e+06</td>\n",
       "      <td>6.900142e+06</td>\n",
       "      <td>7.705423e+06</td>\n",
       "      <td>8.329453e+06</td>\n",
       "      <td>8.734722e+06</td>\n",
       "      <td>8.952542e+06</td>\n",
       "      <td>9.039978e+06</td>\n",
       "      <td>9.086139e+06</td>\n",
       "      <td>9.156963e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.221059e+11</td>\n",
       "      <td>2.579161e+11</td>\n",
       "      <td>3.154746e+11</td>\n",
       "      <td>2.535474e+11</td>\n",
       "      <td>2.860493e+11</td>\n",
       "      <td>3.485261e+11</td>\n",
       "      <td>3.734295e+11</td>\n",
       "      <td>3.871921e+11</td>\n",
       "      <td>3.994513e+11</td>\n",
       "      <td>3.702927e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United Kingdom</th>\n",
       "      <th>Population</th>\n",
       "      <td>5.240000e+07</td>\n",
       "      <td>5.280000e+07</td>\n",
       "      <td>5.325000e+07</td>\n",
       "      <td>5.365000e+07</td>\n",
       "      <td>5.400000e+07</td>\n",
       "      <td>5.434805e+07</td>\n",
       "      <td>5.464850e+07</td>\n",
       "      <td>5.494360e+07</td>\n",
       "      <td>5.521170e+07</td>\n",
       "      <td>5.544175e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>6.084682e+07</td>\n",
       "      <td>6.132246e+07</td>\n",
       "      <td>6.180700e+07</td>\n",
       "      <td>6.227627e+07</td>\n",
       "      <td>6.276636e+07</td>\n",
       "      <td>6.325892e+07</td>\n",
       "      <td>6.370030e+07</td>\n",
       "      <td>6.412823e+07</td>\n",
       "      <td>6.461316e+07</td>\n",
       "      <td>6.513823e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>7.232805e+10</td>\n",
       "      <td>7.669436e+10</td>\n",
       "      <td>8.060194e+10</td>\n",
       "      <td>8.544377e+10</td>\n",
       "      <td>9.338760e+10</td>\n",
       "      <td>1.005958e+11</td>\n",
       "      <td>1.070907e+11</td>\n",
       "      <td>1.111854e+11</td>\n",
       "      <td>1.047027e+11</td>\n",
       "      <td>1.126769e+11</td>\n",
       "      <td>...</td>\n",
       "      <td>2.588077e+12</td>\n",
       "      <td>2.969734e+12</td>\n",
       "      <td>2.793377e+12</td>\n",
       "      <td>2.314577e+12</td>\n",
       "      <td>2.403504e+12</td>\n",
       "      <td>2.594905e+12</td>\n",
       "      <td>2.630473e+12</td>\n",
       "      <td>2.712296e+12</td>\n",
       "      <td>2.990201e+12</td>\n",
       "      <td>2.848755e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United States</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.806710e+08</td>\n",
       "      <td>1.836910e+08</td>\n",
       "      <td>1.865380e+08</td>\n",
       "      <td>1.892420e+08</td>\n",
       "      <td>1.918890e+08</td>\n",
       "      <td>1.943030e+08</td>\n",
       "      <td>1.965600e+08</td>\n",
       "      <td>1.987120e+08</td>\n",
       "      <td>2.007060e+08</td>\n",
       "      <td>2.026770e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>2.983799e+08</td>\n",
       "      <td>3.012312e+08</td>\n",
       "      <td>3.040940e+08</td>\n",
       "      <td>3.067715e+08</td>\n",
       "      <td>3.093469e+08</td>\n",
       "      <td>3.117189e+08</td>\n",
       "      <td>3.141026e+08</td>\n",
       "      <td>3.164274e+08</td>\n",
       "      <td>3.189074e+08</td>\n",
       "      <td>3.214188e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.433000e+11</td>\n",
       "      <td>5.633000e+11</td>\n",
       "      <td>6.051000e+11</td>\n",
       "      <td>6.386000e+11</td>\n",
       "      <td>6.858000e+11</td>\n",
       "      <td>7.437000e+11</td>\n",
       "      <td>8.150000e+11</td>\n",
       "      <td>8.617000e+11</td>\n",
       "      <td>9.425000e+11</td>\n",
       "      <td>1.019900e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>1.385589e+13</td>\n",
       "      <td>1.447764e+13</td>\n",
       "      <td>1.471858e+13</td>\n",
       "      <td>1.441874e+13</td>\n",
       "      <td>1.496437e+13</td>\n",
       "      <td>1.551793e+13</td>\n",
       "      <td>1.615526e+13</td>\n",
       "      <td>1.666316e+13</td>\n",
       "      <td>1.734807e+13</td>\n",
       "      <td>1.794700e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Upper middle income</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.154592e+09</td>\n",
       "      <td>1.159145e+09</td>\n",
       "      <td>1.176093e+09</td>\n",
       "      <td>1.204372e+09</td>\n",
       "      <td>1.232266e+09</td>\n",
       "      <td>1.261069e+09</td>\n",
       "      <td>1.292755e+09</td>\n",
       "      <td>1.323615e+09</td>\n",
       "      <td>1.355381e+09</td>\n",
       "      <td>1.388827e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>2.380136e+09</td>\n",
       "      <td>2.397567e+09</td>\n",
       "      <td>2.415306e+09</td>\n",
       "      <td>2.433652e+09</td>\n",
       "      <td>2.452055e+09</td>\n",
       "      <td>2.470971e+09</td>\n",
       "      <td>2.490586e+09</td>\n",
       "      <td>2.510573e+09</td>\n",
       "      <td>2.530632e+09</td>\n",
       "      <td>2.550326e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.854612e+11</td>\n",
       "      <td>1.690732e+11</td>\n",
       "      <td>1.777957e+11</td>\n",
       "      <td>1.955819e+11</td>\n",
       "      <td>2.144250e+11</td>\n",
       "      <td>2.397244e+11</td>\n",
       "      <td>2.666625e+11</td>\n",
       "      <td>2.766866e+11</td>\n",
       "      <td>2.898954e+11</td>\n",
       "      <td>3.221882e+11</td>\n",
       "      <td>...</td>\n",
       "      <td>8.620784e+12</td>\n",
       "      <td>1.073130e+13</td>\n",
       "      <td>1.312644e+13</td>\n",
       "      <td>1.263584e+13</td>\n",
       "      <td>1.530029e+13</td>\n",
       "      <td>1.829801e+13</td>\n",
       "      <td>1.955543e+13</td>\n",
       "      <td>2.080729e+13</td>\n",
       "      <td>2.133305e+13</td>\n",
       "      <td>1.973288e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Uruguay</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.538651e+06</td>\n",
       "      <td>2.571691e+06</td>\n",
       "      <td>2.603887e+06</td>\n",
       "      <td>2.635128e+06</td>\n",
       "      <td>2.665387e+06</td>\n",
       "      <td>2.694535e+06</td>\n",
       "      <td>2.722874e+06</td>\n",
       "      <td>2.750093e+06</td>\n",
       "      <td>2.774771e+06</td>\n",
       "      <td>2.795044e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.331041e+06</td>\n",
       "      <td>3.339750e+06</td>\n",
       "      <td>3.350832e+06</td>\n",
       "      <td>3.362761e+06</td>\n",
       "      <td>3.374414e+06</td>\n",
       "      <td>3.385610e+06</td>\n",
       "      <td>3.396753e+06</td>\n",
       "      <td>3.407969e+06</td>\n",
       "      <td>3.419516e+06</td>\n",
       "      <td>3.431555e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.242289e+09</td>\n",
       "      <td>1.547389e+09</td>\n",
       "      <td>1.710004e+09</td>\n",
       "      <td>1.539682e+09</td>\n",
       "      <td>1.975702e+09</td>\n",
       "      <td>1.890769e+09</td>\n",
       "      <td>1.809184e+09</td>\n",
       "      <td>1.597721e+09</td>\n",
       "      <td>1.593675e+09</td>\n",
       "      <td>2.004435e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.957946e+10</td>\n",
       "      <td>2.341057e+10</td>\n",
       "      <td>3.036621e+10</td>\n",
       "      <td>3.166091e+10</td>\n",
       "      <td>4.028468e+10</td>\n",
       "      <td>4.796244e+10</td>\n",
       "      <td>5.126540e+10</td>\n",
       "      <td>5.753123e+10</td>\n",
       "      <td>5.723577e+10</td>\n",
       "      <td>5.344270e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Uzbekistan</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.648825e+07</td>\n",
       "      <td>2.686800e+07</td>\n",
       "      <td>2.730280e+07</td>\n",
       "      <td>2.776740e+07</td>\n",
       "      <td>2.856240e+07</td>\n",
       "      <td>2.933940e+07</td>\n",
       "      <td>2.977450e+07</td>\n",
       "      <td>3.024320e+07</td>\n",
       "      <td>3.075770e+07</td>\n",
       "      <td>3.129950e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.703090e+10</td>\n",
       "      <td>2.231139e+10</td>\n",
       "      <td>2.793403e+10</td>\n",
       "      <td>3.281683e+10</td>\n",
       "      <td>3.933277e+10</td>\n",
       "      <td>4.532432e+10</td>\n",
       "      <td>5.118344e+10</td>\n",
       "      <td>5.679566e+10</td>\n",
       "      <td>6.313285e+10</td>\n",
       "      <td>6.673280e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Vanuatu</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.146350e+05</td>\n",
       "      <td>2.199560e+05</td>\n",
       "      <td>2.253350e+05</td>\n",
       "      <td>2.307820e+05</td>\n",
       "      <td>2.362990e+05</td>\n",
       "      <td>2.418760e+05</td>\n",
       "      <td>2.474980e+05</td>\n",
       "      <td>2.531650e+05</td>\n",
       "      <td>2.588830e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.393768e+08</td>\n",
       "      <td>5.264283e+08</td>\n",
       "      <td>6.079586e+08</td>\n",
       "      <td>6.100666e+08</td>\n",
       "      <td>7.008043e+08</td>\n",
       "      <td>7.921497e+08</td>\n",
       "      <td>7.817029e+08</td>\n",
       "      <td>8.017876e+08</td>\n",
       "      <td>8.149546e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Venezuela, RB</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.146845e+06</td>\n",
       "      <td>8.461684e+06</td>\n",
       "      <td>8.790590e+06</td>\n",
       "      <td>9.130346e+06</td>\n",
       "      <td>9.476255e+06</td>\n",
       "      <td>9.824694e+06</td>\n",
       "      <td>1.017514e+07</td>\n",
       "      <td>1.052805e+07</td>\n",
       "      <td>1.088200e+07</td>\n",
       "      <td>1.123549e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.722123e+07</td>\n",
       "      <td>2.767066e+07</td>\n",
       "      <td>2.811672e+07</td>\n",
       "      <td>2.855861e+07</td>\n",
       "      <td>2.899574e+07</td>\n",
       "      <td>2.942763e+07</td>\n",
       "      <td>2.985424e+07</td>\n",
       "      <td>3.027604e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>8.607600e+09</td>\n",
       "      <td>8.923367e+09</td>\n",
       "      <td>9.873398e+09</td>\n",
       "      <td>1.066338e+10</td>\n",
       "      <td>9.113581e+09</td>\n",
       "      <td>9.602945e+09</td>\n",
       "      <td>1.009657e+10</td>\n",
       "      <td>1.047278e+10</td>\n",
       "      <td>1.147091e+10</td>\n",
       "      <td>1.192757e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.834775e+11</td>\n",
       "      <td>2.303642e+11</td>\n",
       "      <td>3.156002e+11</td>\n",
       "      <td>3.294190e+11</td>\n",
       "      <td>3.938015e+11</td>\n",
       "      <td>3.164822e+11</td>\n",
       "      <td>3.812862e+11</td>\n",
       "      <td>3.713366e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Vietnam</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.331120e+07</td>\n",
       "      <td>8.421850e+07</td>\n",
       "      <td>8.511870e+07</td>\n",
       "      <td>8.602500e+07</td>\n",
       "      <td>8.693250e+07</td>\n",
       "      <td>8.786030e+07</td>\n",
       "      <td>8.880920e+07</td>\n",
       "      <td>8.975950e+07</td>\n",
       "      <td>9.072890e+07</td>\n",
       "      <td>9.170380e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.637166e+10</td>\n",
       "      <td>7.741443e+10</td>\n",
       "      <td>9.913030e+10</td>\n",
       "      <td>1.060146e+11</td>\n",
       "      <td>1.159317e+11</td>\n",
       "      <td>1.355395e+11</td>\n",
       "      <td>1.558200e+11</td>\n",
       "      <td>1.712220e+11</td>\n",
       "      <td>1.862047e+11</td>\n",
       "      <td>1.935994e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Virgin Islands (U.S.)</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.200000e+04</td>\n",
       "      <td>3.410000e+04</td>\n",
       "      <td>3.630000e+04</td>\n",
       "      <td>3.870000e+04</td>\n",
       "      <td>4.130000e+04</td>\n",
       "      <td>4.400000e+04</td>\n",
       "      <td>4.730000e+04</td>\n",
       "      <td>5.080000e+04</td>\n",
       "      <td>5.460000e+04</td>\n",
       "      <td>5.860000e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.420000e+07</td>\n",
       "      <td>2.570000e+07</td>\n",
       "      <td>3.690000e+07</td>\n",
       "      <td>4.140000e+07</td>\n",
       "      <td>5.380000e+07</td>\n",
       "      <td>6.650000e+07</td>\n",
       "      <td>8.410000e+07</td>\n",
       "      <td>1.154000e+08</td>\n",
       "      <td>1.738000e+08</td>\n",
       "      <td>2.113000e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">West Bank and Gaza</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.406334e+06</td>\n",
       "      <td>3.494496e+06</td>\n",
       "      <td>3.596688e+06</td>\n",
       "      <td>3.702218e+06</td>\n",
       "      <td>3.811102e+06</td>\n",
       "      <td>3.927051e+06</td>\n",
       "      <td>4.046901e+06</td>\n",
       "      <td>4.169506e+06</td>\n",
       "      <td>4.294682e+06</td>\n",
       "      <td>4.422143e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.910100e+09</td>\n",
       "      <td>5.505800e+09</td>\n",
       "      <td>6.673500e+09</td>\n",
       "      <td>7.268200e+09</td>\n",
       "      <td>8.913100e+09</td>\n",
       "      <td>1.045985e+10</td>\n",
       "      <td>1.127940e+10</td>\n",
       "      <td>1.247600e+10</td>\n",
       "      <td>1.271560e+10</td>\n",
       "      <td>1.267740e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">World</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.035056e+09</td>\n",
       "      <td>3.076121e+09</td>\n",
       "      <td>3.129064e+09</td>\n",
       "      <td>3.193947e+09</td>\n",
       "      <td>3.259355e+09</td>\n",
       "      <td>3.326054e+09</td>\n",
       "      <td>3.395866e+09</td>\n",
       "      <td>3.465297e+09</td>\n",
       "      <td>3.535512e+09</td>\n",
       "      <td>3.609910e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>6.594722e+09</td>\n",
       "      <td>6.675833e+09</td>\n",
       "      <td>6.758303e+09</td>\n",
       "      <td>6.840956e+09</td>\n",
       "      <td>6.923684e+09</td>\n",
       "      <td>7.006908e+09</td>\n",
       "      <td>7.089452e+09</td>\n",
       "      <td>7.176092e+09</td>\n",
       "      <td>7.260780e+09</td>\n",
       "      <td>7.346633e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.364643e+12</td>\n",
       "      <td>1.420440e+12</td>\n",
       "      <td>1.524573e+12</td>\n",
       "      <td>1.638187e+12</td>\n",
       "      <td>1.799675e+12</td>\n",
       "      <td>1.959900e+12</td>\n",
       "      <td>2.125397e+12</td>\n",
       "      <td>2.262923e+12</td>\n",
       "      <td>2.440549e+12</td>\n",
       "      <td>2.686747e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>5.107451e+13</td>\n",
       "      <td>5.758343e+13</td>\n",
       "      <td>6.312856e+13</td>\n",
       "      <td>5.983553e+13</td>\n",
       "      <td>6.564782e+13</td>\n",
       "      <td>7.284314e+13</td>\n",
       "      <td>7.442836e+13</td>\n",
       "      <td>7.643132e+13</td>\n",
       "      <td>7.810634e+13</td>\n",
       "      <td>7.343364e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Yemen, Rep.</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.109397e+07</td>\n",
       "      <td>2.170110e+07</td>\n",
       "      <td>2.232270e+07</td>\n",
       "      <td>2.295423e+07</td>\n",
       "      <td>2.359197e+07</td>\n",
       "      <td>2.423494e+07</td>\n",
       "      <td>2.488279e+07</td>\n",
       "      <td>2.553322e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.908173e+10</td>\n",
       "      <td>2.563367e+10</td>\n",
       "      <td>3.039720e+10</td>\n",
       "      <td>2.845950e+10</td>\n",
       "      <td>3.090675e+10</td>\n",
       "      <td>3.107886e+10</td>\n",
       "      <td>3.207477e+10</td>\n",
       "      <td>3.595450e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Zambia</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.049586e+06</td>\n",
       "      <td>3.142848e+06</td>\n",
       "      <td>3.240664e+06</td>\n",
       "      <td>3.342894e+06</td>\n",
       "      <td>3.449266e+06</td>\n",
       "      <td>3.559687e+06</td>\n",
       "      <td>3.674088e+06</td>\n",
       "      <td>3.792864e+06</td>\n",
       "      <td>3.916928e+06</td>\n",
       "      <td>4.047479e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.238151e+07</td>\n",
       "      <td>1.273868e+07</td>\n",
       "      <td>1.311458e+07</td>\n",
       "      <td>1.350785e+07</td>\n",
       "      <td>1.391744e+07</td>\n",
       "      <td>1.434353e+07</td>\n",
       "      <td>1.478658e+07</td>\n",
       "      <td>1.524609e+07</td>\n",
       "      <td>1.572134e+07</td>\n",
       "      <td>1.621177e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.987397e+08</td>\n",
       "      <td>6.823597e+08</td>\n",
       "      <td>6.792797e+08</td>\n",
       "      <td>7.043397e+08</td>\n",
       "      <td>8.226397e+08</td>\n",
       "      <td>1.061200e+09</td>\n",
       "      <td>1.239000e+09</td>\n",
       "      <td>1.340639e+09</td>\n",
       "      <td>1.573739e+09</td>\n",
       "      <td>1.926399e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.275686e+10</td>\n",
       "      <td>1.405696e+10</td>\n",
       "      <td>1.791086e+10</td>\n",
       "      <td>1.532834e+10</td>\n",
       "      <td>2.026555e+10</td>\n",
       "      <td>2.345952e+10</td>\n",
       "      <td>2.550306e+10</td>\n",
       "      <td>2.804552e+10</td>\n",
       "      <td>2.713464e+10</td>\n",
       "      <td>2.120156e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Zimbabwe</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.752390e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "      <td>5.036321e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.312794e+07</td>\n",
       "      <td>1.329780e+07</td>\n",
       "      <td>1.349546e+07</td>\n",
       "      <td>1.372100e+07</td>\n",
       "      <td>1.397390e+07</td>\n",
       "      <td>1.425559e+07</td>\n",
       "      <td>1.456548e+07</td>\n",
       "      <td>1.489809e+07</td>\n",
       "      <td>1.524586e+07</td>\n",
       "      <td>1.560275e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.052990e+09</td>\n",
       "      <td>1.096647e+09</td>\n",
       "      <td>1.117602e+09</td>\n",
       "      <td>1.159512e+09</td>\n",
       "      <td>1.217138e+09</td>\n",
       "      <td>1.311436e+09</td>\n",
       "      <td>1.281750e+09</td>\n",
       "      <td>1.397002e+09</td>\n",
       "      <td>1.479600e+09</td>\n",
       "      <td>1.747999e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>5.443896e+09</td>\n",
       "      <td>5.291950e+09</td>\n",
       "      <td>4.415703e+09</td>\n",
       "      <td>8.157077e+09</td>\n",
       "      <td>9.422161e+09</td>\n",
       "      <td>1.095623e+10</td>\n",
       "      <td>1.239272e+10</td>\n",
       "      <td>1.349023e+10</td>\n",
       "      <td>1.419691e+10</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>504 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "year                                      1960          1961          1962  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  8.994793e+06  9.164945e+06  9.343772e+06   \n",
       "                      GDP         5.377778e+08  5.488889e+08  5.466667e+08   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.112489e+07  1.140486e+07  1.169015e+07   \n",
       "                      GDP         2.723638e+09  2.434767e+09  2.001461e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Argentina             Population           NaN           NaN  2.128768e+07   \n",
       "                      GDP                  NaN           NaN  2.445060e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.027648e+07  1.048300e+07  1.074200e+07   \n",
       "                      GDP         1.856759e+10  1.963938e+10  1.988353e+10   \n",
       "Austria               Population  7.047539e+06  7.086299e+06  7.129864e+06   \n",
       "                      GDP         6.592694e+09  7.311750e+09  7.756110e+09   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.095260e+05  1.151080e+05  1.210830e+05   \n",
       "                      GDP         1.698023e+08  1.900962e+08  2.122528e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.240000e+07  5.280000e+07  5.325000e+07   \n",
       "                      GDP         7.232805e+10  7.669436e+10  8.060194e+10   \n",
       "United States         Population  1.806710e+08  1.836910e+08  1.865380e+08   \n",
       "                      GDP         5.433000e+11  5.633000e+11  6.051000e+11   \n",
       "Upper middle income   Population  1.154592e+09  1.159145e+09  1.176093e+09   \n",
       "                      GDP         1.854612e+11  1.690732e+11  1.777957e+11   \n",
       "Uruguay               Population  2.538651e+06  2.571691e+06  2.603887e+06   \n",
       "                      GDP         1.242289e+09  1.547389e+09  1.710004e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  8.146845e+06  8.461684e+06  8.790590e+06   \n",
       "                      GDP         8.607600e+09  8.923367e+09  9.873398e+09   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  3.200000e+04  3.410000e+04  3.630000e+04   \n",
       "                      GDP         2.420000e+07  2.570000e+07  3.690000e+07   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.035056e+09  3.076121e+09  3.129064e+09   \n",
       "                      GDP         1.364643e+12  1.420440e+12  1.524573e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.049586e+06  3.142848e+06  3.240664e+06   \n",
       "                      GDP         6.987397e+08  6.823597e+08  6.792797e+08   \n",
       "Zimbabwe              Population  3.752390e+06  3.876638e+06  4.006262e+06   \n",
       "                      GDP         1.052990e+09  1.096647e+09  1.117602e+09   \n",
       "\n",
       "year                                      1963          1964          1965  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  9.531555e+06  9.728645e+06  9.935358e+06   \n",
       "                      GDP         7.511112e+08  8.000000e+08  1.006667e+09   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.198513e+07  1.229597e+07  1.262695e+07   \n",
       "                      GDP         2.703004e+09  2.909340e+09  3.136284e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Argentina             Population  2.162184e+07  2.195393e+07  2.228339e+07   \n",
       "                      GDP         1.827212e+10  2.560525e+10  2.834471e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.095000e+07  1.116700e+07  1.138800e+07   \n",
       "                      GDP         2.149737e+10  2.375406e+10  2.592564e+10   \n",
       "Austria               Population  7.175811e+06  7.223801e+06  7.270889e+06   \n",
       "                      GDP         8.374175e+09  9.169984e+09  9.994071e+09   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.273310e+05  1.336970e+05  1.400490e+05   \n",
       "                      GDP         2.377428e+08  2.666641e+08  3.003922e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.365000e+07  5.400000e+07  5.434805e+07   \n",
       "                      GDP         8.544377e+10  9.338760e+10  1.005958e+11   \n",
       "United States         Population  1.892420e+08  1.918890e+08  1.943030e+08   \n",
       "                      GDP         6.386000e+11  6.858000e+11  7.437000e+11   \n",
       "Upper middle income   Population  1.204372e+09  1.232266e+09  1.261069e+09   \n",
       "                      GDP         1.955819e+11  2.144250e+11  2.397244e+11   \n",
       "Uruguay               Population  2.635128e+06  2.665387e+06  2.694535e+06   \n",
       "                      GDP         1.539682e+09  1.975702e+09  1.890769e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  9.130346e+06  9.476255e+06  9.824694e+06   \n",
       "                      GDP         1.066338e+10  9.113581e+09  9.602945e+09   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  3.870000e+04  4.130000e+04  4.400000e+04   \n",
       "                      GDP         4.140000e+07  5.380000e+07  6.650000e+07   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.193947e+09  3.259355e+09  3.326054e+09   \n",
       "                      GDP         1.638187e+12  1.799675e+12  1.959900e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.342894e+06  3.449266e+06  3.559687e+06   \n",
       "                      GDP         7.043397e+08  8.226397e+08  1.061200e+09   \n",
       "Zimbabwe              Population  4.140804e+06  4.279561e+06  4.422132e+06   \n",
       "                      GDP         1.159512e+09  1.217138e+09  1.311436e+09   \n",
       "\n",
       "year                                      1966          1967          1968  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  1.014884e+07  1.036860e+07  1.059979e+07   \n",
       "                      GDP         1.400000e+09  1.673333e+09  1.373333e+09   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.298027e+07  1.335420e+07  1.374438e+07   \n",
       "                      GDP         3.039859e+09  3.370870e+09  3.852147e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN  1.155571e+08   \n",
       "                      GDP                  NaN           NaN  2.552596e+10   \n",
       "Argentina             Population  2.260875e+07  2.293220e+07  2.326127e+07   \n",
       "                      GDP         2.863047e+10  2.425667e+10  2.643686e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.165100e+07  1.179900e+07  1.200900e+07   \n",
       "                      GDP         2.725053e+10  3.037854e+10  3.264195e+10   \n",
       "Austria               Population  7.322066e+06  7.376998e+06  7.415403e+06   \n",
       "                      GDP         1.088768e+10  1.157943e+10  1.244063e+10   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.463640e+05  1.526070e+05  1.586290e+05   \n",
       "                      GDP         3.400000e+08  3.901961e+08  4.449020e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.464850e+07  5.494360e+07  5.521170e+07   \n",
       "                      GDP         1.070907e+11  1.111854e+11  1.047027e+11   \n",
       "United States         Population  1.965600e+08  1.987120e+08  2.007060e+08   \n",
       "                      GDP         8.150000e+11  8.617000e+11  9.425000e+11   \n",
       "Upper middle income   Population  1.292755e+09  1.323615e+09  1.355381e+09   \n",
       "                      GDP         2.666625e+11  2.766866e+11  2.898954e+11   \n",
       "Uruguay               Population  2.722874e+06  2.750093e+06  2.774771e+06   \n",
       "                      GDP         1.809184e+09  1.597721e+09  1.593675e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  1.017514e+07  1.052805e+07  1.088200e+07   \n",
       "                      GDP         1.009657e+10  1.047278e+10  1.147091e+10   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  4.730000e+04  5.080000e+04  5.460000e+04   \n",
       "                      GDP         8.410000e+07  1.154000e+08  1.738000e+08   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.395866e+09  3.465297e+09  3.535512e+09   \n",
       "                      GDP         2.125397e+12  2.262923e+12  2.440549e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.674088e+06  3.792864e+06  3.916928e+06   \n",
       "                      GDP         1.239000e+09  1.340639e+09  1.573739e+09   \n",
       "Zimbabwe              Population  4.568320e+06  4.718612e+06  4.874113e+06   \n",
       "                      GDP         1.281750e+09  1.397002e+09  1.479600e+09   \n",
       "\n",
       "year                                      1969  ...          2006  \\\n",
       "country                                         ...                 \n",
       "Afghanistan           Population  1.084951e+07  ...  2.518362e+07   \n",
       "                      GDP         1.408889e+09  ...  7.057598e+09   \n",
       "Albania               Population           NaN  ...  2.992547e+06   \n",
       "                      GDP                  NaN  ...  8.992642e+09   \n",
       "Algeria               Population  1.414444e+07  ...  3.374933e+07   \n",
       "                      GDP         4.257253e+09  ...  1.170273e+11   \n",
       "Andorra               Population           NaN  ...  8.337300e+04   \n",
       "                      GDP                  NaN  ...  3.536452e+09   \n",
       "Angola                Population           NaN  ...  1.854147e+07   \n",
       "                      GDP                  NaN  ...  4.178948e+10   \n",
       "Antigua and Barbuda   Population           NaN  ...  8.346700e+04   \n",
       "                      GDP                  NaN  ...  1.135144e+09   \n",
       "Arab World            Population  1.188239e+08  ...  3.209067e+08   \n",
       "                      GDP         2.817577e+10  ...  1.404190e+12   \n",
       "Argentina             Population  2.360599e+07  ...  3.955875e+07   \n",
       "                      GDP         3.125628e+10  ...  2.626665e+11   \n",
       "Armenia               Population           NaN  ...  3.002161e+06   \n",
       "                      GDP                  NaN  ...  6.384452e+09   \n",
       "Aruba                 Population           NaN  ...  1.008300e+05   \n",
       "                      GDP                  NaN  ...  2.421475e+09   \n",
       "Australia             Population  1.226300e+07  ...  2.069790e+07   \n",
       "                      GDP         3.660656e+10  ...  7.468808e+11   \n",
       "Austria               Population  7.441055e+06  ...  8.268641e+06   \n",
       "                      GDP         1.358280e+10  ...  3.343094e+11   \n",
       "Azerbaijan            Population           NaN  ...  8.484550e+06   \n",
       "                      GDP                  NaN  ...  2.098302e+10   \n",
       "Bahamas, The          Population  1.642500e+05  ...  3.358010e+05   \n",
       "                      GDP         5.281373e+08  ...  7.965588e+09   \n",
       "Bahrain               Population           NaN  ...  9.408080e+05   \n",
       "                      GDP                  NaN  ...  1.850505e+10   \n",
       "...                                        ...  ...           ...   \n",
       "United Arab Emirates  Population           NaN  ...  5.171255e+06   \n",
       "                      GDP                  NaN  ...  2.221059e+11   \n",
       "United Kingdom        Population  5.544175e+07  ...  6.084682e+07   \n",
       "                      GDP         1.126769e+11  ...  2.588077e+12   \n",
       "United States         Population  2.026770e+08  ...  2.983799e+08   \n",
       "                      GDP         1.019900e+12  ...  1.385589e+13   \n",
       "Upper middle income   Population  1.388827e+09  ...  2.380136e+09   \n",
       "                      GDP         3.221882e+11  ...  8.620784e+12   \n",
       "Uruguay               Population  2.795044e+06  ...  3.331041e+06   \n",
       "                      GDP         2.004435e+09  ...  1.957946e+10   \n",
       "Uzbekistan            Population           NaN  ...  2.648825e+07   \n",
       "                      GDP                  NaN  ...  1.703090e+10   \n",
       "Vanuatu               Population           NaN  ...  2.146350e+05   \n",
       "                      GDP                  NaN  ...  4.393768e+08   \n",
       "Venezuela, RB         Population  1.123549e+07  ...  2.722123e+07   \n",
       "                      GDP         1.192757e+10  ...  1.834775e+11   \n",
       "Vietnam               Population           NaN  ...  8.331120e+07   \n",
       "                      GDP                  NaN  ...  6.637166e+10   \n",
       "Virgin Islands (U.S.) Population  5.860000e+04  ...           NaN   \n",
       "                      GDP         2.113000e+08  ...           NaN   \n",
       "West Bank and Gaza    Population           NaN  ...  3.406334e+06   \n",
       "                      GDP                  NaN  ...  4.910100e+09   \n",
       "World                 Population  3.609910e+09  ...  6.594722e+09   \n",
       "                      GDP         2.686747e+12  ...  5.107451e+13   \n",
       "Yemen, Rep.           Population           NaN  ...  2.109397e+07   \n",
       "                      GDP                  NaN  ...  1.908173e+10   \n",
       "Zambia                Population  4.047479e+06  ...  1.238151e+07   \n",
       "                      GDP         1.926399e+09  ...  1.275686e+10   \n",
       "Zimbabwe              Population  5.036321e+06  ...  1.312794e+07   \n",
       "                      GDP         1.747999e+09  ...  5.443896e+09   \n",
       "\n",
       "year                                      2007          2008          2009  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  2.587754e+07  2.652874e+07  2.720729e+07   \n",
       "                      GDP         9.843842e+09  1.019053e+10  1.248694e+10   \n",
       "Albania               Population  2.970017e+06  2.947314e+06  2.927519e+06   \n",
       "                      GDP         1.070101e+10  1.288135e+10  1.204421e+10   \n",
       "Algeria               Population  3.426197e+07  3.481106e+07  3.540179e+07   \n",
       "                      GDP         1.349771e+11  1.710007e+11  1.372110e+11   \n",
       "Andorra               Population  8.487800e+04  8.561600e+04  8.547400e+04   \n",
       "                      GDP         4.010785e+09  4.001349e+09  3.649863e+09   \n",
       "Angola                Population  1.918391e+07  1.984225e+07  2.052010e+07   \n",
       "                      GDP         6.044892e+10  8.417803e+10  7.549238e+10   \n",
       "Antigua and Barbuda   Population  8.439700e+04  8.535000e+04  8.630000e+04   \n",
       "                      GDP         1.289254e+09  1.347350e+09  1.206410e+09   \n",
       "Arab World            Population  3.287666e+08  3.368865e+08  3.450542e+08   \n",
       "                      GDP         1.641666e+12  2.081343e+12  1.798878e+12   \n",
       "Argentina             Population  3.996990e+07  4.038186e+07  4.079864e+07   \n",
       "                      GDP         3.293175e+11  4.037820e+11  3.766279e+11   \n",
       "Armenia               Population  2.988117e+06  2.975029e+06  2.966108e+06   \n",
       "                      GDP         9.206302e+09  1.166204e+10  8.647937e+09   \n",
       "Aruba                 Population  1.012180e+05  1.013420e+05  1.014160e+05   \n",
       "                      GDP         2.623726e+09  2.791961e+09  2.498933e+09   \n",
       "Australia             Population  2.082760e+07  2.124920e+07  2.169170e+07   \n",
       "                      GDP         8.530533e+11  1.054558e+12  9.265638e+11   \n",
       "Austria               Population  8.295487e+06  8.321496e+06  8.343323e+06   \n",
       "                      GDP         3.864590e+11  4.276115e+11  3.975943e+11   \n",
       "Azerbaijan            Population  8.581300e+06  8.763400e+06  8.947243e+06   \n",
       "                      GDP         3.305034e+10  4.885248e+10  4.429149e+10   \n",
       "Bahamas, The          Population  3.422590e+05  3.485870e+05  3.547800e+05   \n",
       "                      GDP         8.318996e+09  8.246650e+09  7.820420e+09   \n",
       "Bahrain               Population  1.026568e+06  1.115777e+06  1.196774e+06   \n",
       "                      GDP         2.173000e+10  2.571088e+10  2.293822e+10   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  6.010100e+06  6.900142e+06  7.705423e+06   \n",
       "                      GDP         2.579161e+11  3.154746e+11  2.535474e+11   \n",
       "United Kingdom        Population  6.132246e+07  6.180700e+07  6.227627e+07   \n",
       "                      GDP         2.969734e+12  2.793377e+12  2.314577e+12   \n",
       "United States         Population  3.012312e+08  3.040940e+08  3.067715e+08   \n",
       "                      GDP         1.447764e+13  1.471858e+13  1.441874e+13   \n",
       "Upper middle income   Population  2.397567e+09  2.415306e+09  2.433652e+09   \n",
       "                      GDP         1.073130e+13  1.312644e+13  1.263584e+13   \n",
       "Uruguay               Population  3.339750e+06  3.350832e+06  3.362761e+06   \n",
       "                      GDP         2.341057e+10  3.036621e+10  3.166091e+10   \n",
       "Uzbekistan            Population  2.686800e+07  2.730280e+07  2.776740e+07   \n",
       "                      GDP         2.231139e+10  2.793403e+10  3.281683e+10   \n",
       "Vanuatu               Population  2.199560e+05  2.253350e+05  2.307820e+05   \n",
       "                      GDP         5.264283e+08  6.079586e+08  6.100666e+08   \n",
       "Venezuela, RB         Population  2.767066e+07  2.811672e+07  2.855861e+07   \n",
       "                      GDP         2.303642e+11  3.156002e+11  3.294190e+11   \n",
       "Vietnam               Population  8.421850e+07  8.511870e+07  8.602500e+07   \n",
       "                      GDP         7.741443e+10  9.913030e+10  1.060146e+11   \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "West Bank and Gaza    Population  3.494496e+06  3.596688e+06  3.702218e+06   \n",
       "                      GDP         5.505800e+09  6.673500e+09  7.268200e+09   \n",
       "World                 Population  6.675833e+09  6.758303e+09  6.840956e+09   \n",
       "                      GDP         5.758343e+13  6.312856e+13  5.983553e+13   \n",
       "Yemen, Rep.           Population  2.170110e+07  2.232270e+07  2.295423e+07   \n",
       "                      GDP         2.563367e+10  3.039720e+10  2.845950e+10   \n",
       "Zambia                Population  1.273868e+07  1.311458e+07  1.350785e+07   \n",
       "                      GDP         1.405696e+10  1.791086e+10  1.532834e+10   \n",
       "Zimbabwe              Population  1.329780e+07  1.349546e+07  1.372100e+07   \n",
       "                      GDP         5.291950e+09  4.415703e+09  8.157077e+09   \n",
       "\n",
       "year                                      2010          2011          2012  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  2.796221e+07  2.880917e+07  2.972680e+07   \n",
       "                      GDP         1.593680e+10  1.793024e+10  2.053654e+10   \n",
       "Albania               Population  2.913021e+06  2.904780e+06  2.900247e+06   \n",
       "                      GDP         1.192695e+10  1.289087e+10  1.231978e+10   \n",
       "Algeria               Population  3.603616e+07  3.671713e+07  3.743943e+07   \n",
       "                      GDP         1.612073e+11  2.000131e+11  2.090474e+11   \n",
       "Andorra               Population  8.441900e+04  8.232600e+04  7.931600e+04   \n",
       "                      GDP         3.346317e+09  3.427236e+09  3.146178e+09   \n",
       "Angola                Population  2.121995e+07  2.194230e+07  2.268563e+07   \n",
       "                      GDP         8.247091e+10  1.041159e+11  1.153984e+11   \n",
       "Antigua and Barbuda   Population  8.723300e+04  8.815200e+04  8.906900e+04   \n",
       "                      GDP         1.135539e+09  1.129918e+09  1.204713e+09   \n",
       "Arab World            Population  3.531122e+08  3.610318e+08  3.688026e+08   \n",
       "                      GDP         2.103825e+12  2.497945e+12  2.773270e+12   \n",
       "Argentina             Population  4.122288e+07  4.165562e+07  4.209522e+07   \n",
       "                      GDP         4.616402e+11  5.578902e+11  6.043785e+11   \n",
       "Armenia               Population  2.963496e+06  2.967984e+06  2.978339e+06   \n",
       "                      GDP         9.260285e+09  1.014211e+10  1.061932e+10   \n",
       "Aruba                 Population  1.015970e+05  1.019360e+05           NaN   \n",
       "                      GDP         2.467704e+09  2.584464e+09           NaN   \n",
       "Australia             Population  2.203175e+07  2.234002e+07  2.272825e+07   \n",
       "                      GDP         1.142251e+12  1.389919e+12  1.537478e+12   \n",
       "Austria               Population  8.363404e+06  8.391643e+06  8.429991e+06   \n",
       "                      GDP         3.902351e+11  4.290107e+11  4.073730e+11   \n",
       "Azerbaijan            Population  9.054332e+06  9.173082e+06  9.295784e+06   \n",
       "                      GDP         5.290270e+10  6.595163e+10  6.873091e+10   \n",
       "Bahamas, The          Population  3.608300e+05  3.667110e+05  3.723880e+05   \n",
       "                      GDP         7.909580e+09  7.889750e+09  8.234470e+09   \n",
       "Bahrain               Population  1.261319e+06  1.306014e+06  1.333577e+06   \n",
       "                      GDP         2.571327e+10  2.904407e+10  3.075646e+10   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  8.329453e+06  8.734722e+06  8.952542e+06   \n",
       "                      GDP         2.860493e+11  3.485261e+11  3.734295e+11   \n",
       "United Kingdom        Population  6.276636e+07  6.325892e+07  6.370030e+07   \n",
       "                      GDP         2.403504e+12  2.594905e+12  2.630473e+12   \n",
       "United States         Population  3.093469e+08  3.117189e+08  3.141026e+08   \n",
       "                      GDP         1.496437e+13  1.551793e+13  1.615526e+13   \n",
       "Upper middle income   Population  2.452055e+09  2.470971e+09  2.490586e+09   \n",
       "                      GDP         1.530029e+13  1.829801e+13  1.955543e+13   \n",
       "Uruguay               Population  3.374414e+06  3.385610e+06  3.396753e+06   \n",
       "                      GDP         4.028468e+10  4.796244e+10  5.126540e+10   \n",
       "Uzbekistan            Population  2.856240e+07  2.933940e+07  2.977450e+07   \n",
       "                      GDP         3.933277e+10  4.532432e+10  5.118344e+10   \n",
       "Vanuatu               Population  2.362990e+05  2.418760e+05  2.474980e+05   \n",
       "                      GDP         7.008043e+08  7.921497e+08  7.817029e+08   \n",
       "Venezuela, RB         Population  2.899574e+07  2.942763e+07  2.985424e+07   \n",
       "                      GDP         3.938015e+11  3.164822e+11  3.812862e+11   \n",
       "Vietnam               Population  8.693250e+07  8.786030e+07  8.880920e+07   \n",
       "                      GDP         1.159317e+11  1.355395e+11  1.558200e+11   \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "West Bank and Gaza    Population  3.811102e+06  3.927051e+06  4.046901e+06   \n",
       "                      GDP         8.913100e+09  1.045985e+10  1.127940e+10   \n",
       "World                 Population  6.923684e+09  7.006908e+09  7.089452e+09   \n",
       "                      GDP         6.564782e+13  7.284314e+13  7.442836e+13   \n",
       "Yemen, Rep.           Population  2.359197e+07  2.423494e+07  2.488279e+07   \n",
       "                      GDP         3.090675e+10  3.107886e+10  3.207477e+10   \n",
       "Zambia                Population  1.391744e+07  1.434353e+07  1.478658e+07   \n",
       "                      GDP         2.026555e+10  2.345952e+10  2.550306e+10   \n",
       "Zimbabwe              Population  1.397390e+07  1.425559e+07  1.456548e+07   \n",
       "                      GDP         9.422161e+09  1.095623e+10  1.239272e+10   \n",
       "\n",
       "year                                      2013          2014          2015  \n",
       "country                                                                     \n",
       "Afghanistan           Population  3.068250e+07  3.162751e+07  3.252656e+07  \n",
       "                      GDP         2.004633e+10  2.005019e+10  1.919944e+10  \n",
       "Albania               Population  2.896652e+06  2.893654e+06  2.889167e+06  \n",
       "                      GDP         1.278103e+10  1.327796e+10  1.145560e+10  \n",
       "Algeria               Population  3.818614e+07  3.893433e+07  3.966652e+07  \n",
       "                      GDP         2.097035e+11  2.135185e+11  1.668386e+11  \n",
       "Andorra               Population  7.590200e+04           NaN           NaN  \n",
       "                      GDP         3.249101e+09           NaN           NaN  \n",
       "Angola                Population  2.344820e+07  2.422752e+07  2.502197e+07  \n",
       "                      GDP         1.249121e+11  1.267751e+11  1.026431e+11  \n",
       "Antigua and Barbuda   Population  8.998500e+04  9.090000e+04  9.181800e+04  \n",
       "                      GDP         1.200588e+09  1.220976e+09  1.297285e+09  \n",
       "Arab World            Population  3.765043e+08  3.842226e+08  3.920223e+08  \n",
       "                      GDP         2.846994e+12  2.873600e+12  2.530102e+12  \n",
       "Argentina             Population  4.253830e+07  4.298003e+07           NaN  \n",
       "                      GDP         6.239320e+11  5.480549e+11           NaN  \n",
       "Armenia               Population  2.992192e+06  3.006154e+06  3.017712e+06  \n",
       "                      GDP         1.112147e+10  1.164444e+10  1.056140e+10  \n",
       "Aruba                 Population           NaN           NaN           NaN  \n",
       "                      GDP                  NaN           NaN           NaN  \n",
       "Australia             Population  2.311735e+07  2.346409e+07  2.378117e+07  \n",
       "                      GDP         1.563951e+12  1.454675e+12  1.339539e+12  \n",
       "Austria               Population  8.479375e+06  8.541575e+06  8.611088e+06  \n",
       "                      GDP         4.286986e+11  4.368875e+11  3.740559e+11  \n",
       "Azerbaijan            Population  9.416801e+06  9.535079e+06  9.651349e+06  \n",
       "                      GDP         7.356048e+10  7.519801e+10  5.304714e+10  \n",
       "Bahamas, The          Population  3.778410e+05  3.830540e+05  3.880190e+05  \n",
       "                      GDP         8.431750e+09  8.510500e+09  8.884441e+09  \n",
       "Bahrain               Population  1.349427e+06  1.361930e+06  1.377237e+06  \n",
       "                      GDP         3.289761e+10  3.385106e+10  3.222149e+10  \n",
       "...                                        ...           ...           ...  \n",
       "United Arab Emirates  Population  9.039978e+06  9.086139e+06  9.156963e+06  \n",
       "                      GDP         3.871921e+11  3.994513e+11  3.702927e+11  \n",
       "United Kingdom        Population  6.412823e+07  6.461316e+07  6.513823e+07  \n",
       "                      GDP         2.712296e+12  2.990201e+12  2.848755e+12  \n",
       "United States         Population  3.164274e+08  3.189074e+08  3.214188e+08  \n",
       "                      GDP         1.666316e+13  1.734807e+13  1.794700e+13  \n",
       "Upper middle income   Population  2.510573e+09  2.530632e+09  2.550326e+09  \n",
       "                      GDP         2.080729e+13  2.133305e+13  1.973288e+13  \n",
       "Uruguay               Population  3.407969e+06  3.419516e+06  3.431555e+06  \n",
       "                      GDP         5.753123e+10  5.723577e+10  5.344270e+10  \n",
       "Uzbekistan            Population  3.024320e+07  3.075770e+07  3.129950e+07  \n",
       "                      GDP         5.679566e+10  6.313285e+10  6.673280e+10  \n",
       "Vanuatu               Population  2.531650e+05  2.588830e+05           NaN  \n",
       "                      GDP         8.017876e+08  8.149546e+08           NaN  \n",
       "Venezuela, RB         Population  3.027604e+07           NaN           NaN  \n",
       "                      GDP         3.713366e+11           NaN           NaN  \n",
       "Vietnam               Population  8.975950e+07  9.072890e+07  9.170380e+07  \n",
       "                      GDP         1.712220e+11  1.862047e+11  1.935994e+11  \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN  \n",
       "                      GDP                  NaN           NaN           NaN  \n",
       "West Bank and Gaza    Population  4.169506e+06  4.294682e+06  4.422143e+06  \n",
       "                      GDP         1.247600e+10  1.271560e+10  1.267740e+10  \n",
       "World                 Population  7.176092e+09  7.260780e+09  7.346633e+09  \n",
       "                      GDP         7.643132e+13  7.810634e+13  7.343364e+13  \n",
       "Yemen, Rep.           Population  2.553322e+07           NaN           NaN  \n",
       "                      GDP         3.595450e+10           NaN           NaN  \n",
       "Zambia                Population  1.524609e+07  1.572134e+07  1.621177e+07  \n",
       "                      GDP         2.804552e+10  2.713464e+10  2.120156e+10  \n",
       "Zimbabwe              Population  1.489809e+07  1.524586e+07  1.560275e+07  \n",
       "                      GDP         1.349023e+10  1.419691e+10  1.389294e+10  \n",
       "\n",
       "[504 rows x 56 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "      <th>GDP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Afghanistan</th>\n",
       "      <th>1960</th>\n",
       "      <td>8994793.0</td>\n",
       "      <td>5.377778e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <td>9164945.0</td>\n",
       "      <td>5.488889e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>9343772.0</td>\n",
       "      <td>5.466667e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963</th>\n",
       "      <td>9531555.0</td>\n",
       "      <td>7.511112e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>9728645.0</td>\n",
       "      <td>8.000000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1965</th>\n",
       "      <td>9935358.0</td>\n",
       "      <td>1.006667e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1966</th>\n",
       "      <td>10148841.0</td>\n",
       "      <td>1.400000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1967</th>\n",
       "      <td>10368600.0</td>\n",
       "      <td>1.673333e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1968</th>\n",
       "      <td>10599790.0</td>\n",
       "      <td>1.373333e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1969</th>\n",
       "      <td>10849510.0</td>\n",
       "      <td>1.408889e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>11121097.0</td>\n",
       "      <td>1.748887e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971</th>\n",
       "      <td>11412821.0</td>\n",
       "      <td>1.831109e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>11716896.0</td>\n",
       "      <td>1.595555e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1973</th>\n",
       "      <td>12022514.0</td>\n",
       "      <td>1.733333e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1974</th>\n",
       "      <td>12315553.0</td>\n",
       "      <td>2.155555e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975</th>\n",
       "      <td>12582954.0</td>\n",
       "      <td>2.366667e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1976</th>\n",
       "      <td>12831361.0</td>\n",
       "      <td>2.555556e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1977</th>\n",
       "      <td>13056499.0</td>\n",
       "      <td>2.953333e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1978</th>\n",
       "      <td>13222547.0</td>\n",
       "      <td>3.300000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1979</th>\n",
       "      <td>13283279.0</td>\n",
       "      <td>3.697940e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>13211412.0</td>\n",
       "      <td>3.641723e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981</th>\n",
       "      <td>12996923.0</td>\n",
       "      <td>3.478788e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>20531160.0</td>\n",
       "      <td>2.461666e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>21487079.0</td>\n",
       "      <td>4.128818e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>22507368.0</td>\n",
       "      <td>4.583649e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>23499850.0</td>\n",
       "      <td>5.285462e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>24399948.0</td>\n",
       "      <td>6.275076e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>25183615.0</td>\n",
       "      <td>7.057598e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>25877544.0</td>\n",
       "      <td>9.843842e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>26528741.0</td>\n",
       "      <td>1.019053e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Zimbabwe</th>\n",
       "      <th>1986</th>\n",
       "      <td>9198874.0</td>\n",
       "      <td>6.217524e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>9535657.0</td>\n",
       "      <td>6.741215e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>9866776.0</td>\n",
       "      <td>7.814784e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>10184966.0</td>\n",
       "      <td>8.286323e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>10484771.0</td>\n",
       "      <td>8.783817e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>10763036.0</td>\n",
       "      <td>8.641482e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>11019717.0</td>\n",
       "      <td>6.751472e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>11256512.0</td>\n",
       "      <td>6.563813e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>11476807.0</td>\n",
       "      <td>6.890675e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>11683136.0</td>\n",
       "      <td>7.111271e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>11877664.0</td>\n",
       "      <td>8.553147e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>12059858.0</td>\n",
       "      <td>8.529572e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>12226742.0</td>\n",
       "      <td>6.401968e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>12374019.0</td>\n",
       "      <td>6.858013e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>12499981.0</td>\n",
       "      <td>6.689958e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>12603988.0</td>\n",
       "      <td>6.777385e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>12691431.0</td>\n",
       "      <td>6.342116e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>12774162.0</td>\n",
       "      <td>5.727592e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>12867828.0</td>\n",
       "      <td>5.805598e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>12984418.0</td>\n",
       "      <td>5.755215e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>13127942.0</td>\n",
       "      <td>5.443896e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>13297798.0</td>\n",
       "      <td>5.291950e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>13495462.0</td>\n",
       "      <td>4.415703e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>13720997.0</td>\n",
       "      <td>8.157077e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>13973897.0</td>\n",
       "      <td>9.422161e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>14255592.0</td>\n",
       "      <td>1.095623e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>14565482.0</td>\n",
       "      <td>1.239272e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>14898092.0</td>\n",
       "      <td>1.349023e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>15245855.0</td>\n",
       "      <td>1.419691e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>15602751.0</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11211 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Population           GDP\n",
       "country     year                          \n",
       "Afghanistan 1960   8994793.0  5.377778e+08\n",
       "            1961   9164945.0  5.488889e+08\n",
       "            1962   9343772.0  5.466667e+08\n",
       "            1963   9531555.0  7.511112e+08\n",
       "            1964   9728645.0  8.000000e+08\n",
       "            1965   9935358.0  1.006667e+09\n",
       "            1966  10148841.0  1.400000e+09\n",
       "            1967  10368600.0  1.673333e+09\n",
       "            1968  10599790.0  1.373333e+09\n",
       "            1969  10849510.0  1.408889e+09\n",
       "            1970  11121097.0  1.748887e+09\n",
       "            1971  11412821.0  1.831109e+09\n",
       "            1972  11716896.0  1.595555e+09\n",
       "            1973  12022514.0  1.733333e+09\n",
       "            1974  12315553.0  2.155555e+09\n",
       "            1975  12582954.0  2.366667e+09\n",
       "            1976  12831361.0  2.555556e+09\n",
       "            1977  13056499.0  2.953333e+09\n",
       "            1978  13222547.0  3.300000e+09\n",
       "            1979  13283279.0  3.697940e+09\n",
       "            1980  13211412.0  3.641723e+09\n",
       "            1981  12996923.0  3.478788e+09\n",
       "            2001  20531160.0  2.461666e+09\n",
       "            2002  21487079.0  4.128818e+09\n",
       "            2003  22507368.0  4.583649e+09\n",
       "            2004  23499850.0  5.285462e+09\n",
       "            2005  24399948.0  6.275076e+09\n",
       "            2006  25183615.0  7.057598e+09\n",
       "            2007  25877544.0  9.843842e+09\n",
       "            2008  26528741.0  1.019053e+10\n",
       "...                      ...           ...\n",
       "Zimbabwe    1986   9198874.0  6.217524e+09\n",
       "            1987   9535657.0  6.741215e+09\n",
       "            1988   9866776.0  7.814784e+09\n",
       "            1989  10184966.0  8.286323e+09\n",
       "            1990  10484771.0  8.783817e+09\n",
       "            1991  10763036.0  8.641482e+09\n",
       "            1992  11019717.0  6.751472e+09\n",
       "            1993  11256512.0  6.563813e+09\n",
       "            1994  11476807.0  6.890675e+09\n",
       "            1995  11683136.0  7.111271e+09\n",
       "            1996  11877664.0  8.553147e+09\n",
       "            1997  12059858.0  8.529572e+09\n",
       "            1998  12226742.0  6.401968e+09\n",
       "            1999  12374019.0  6.858013e+09\n",
       "            2000  12499981.0  6.689958e+09\n",
       "            2001  12603988.0  6.777385e+09\n",
       "            2002  12691431.0  6.342116e+09\n",
       "            2003  12774162.0  5.727592e+09\n",
       "            2004  12867828.0  5.805598e+09\n",
       "            2005  12984418.0  5.755215e+09\n",
       "            2006  13127942.0  5.443896e+09\n",
       "            2007  13297798.0  5.291950e+09\n",
       "            2008  13495462.0  4.415703e+09\n",
       "            2009  13720997.0  8.157077e+09\n",
       "            2010  13973897.0  9.422161e+09\n",
       "            2011  14255592.0  1.095623e+10\n",
       "            2012  14565482.0  1.239272e+10\n",
       "            2013  14898092.0  1.349023e+10\n",
       "            2014  15245855.0  1.419691e+10\n",
       "            2015  15602751.0  1.389294e+10\n",
       "\n",
       "[11211 rows x 2 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>1966</th>\n",
       "      <th>1967</th>\n",
       "      <th>1968</th>\n",
       "      <th>1969</th>\n",
       "      <th>...</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Afghanistan</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.994793e+06</td>\n",
       "      <td>9.164945e+06</td>\n",
       "      <td>9.343772e+06</td>\n",
       "      <td>9.531555e+06</td>\n",
       "      <td>9.728645e+06</td>\n",
       "      <td>9.935358e+06</td>\n",
       "      <td>1.014884e+07</td>\n",
       "      <td>1.036860e+07</td>\n",
       "      <td>1.059979e+07</td>\n",
       "      <td>1.084951e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.518362e+07</td>\n",
       "      <td>2.587754e+07</td>\n",
       "      <td>2.652874e+07</td>\n",
       "      <td>2.720729e+07</td>\n",
       "      <td>2.796221e+07</td>\n",
       "      <td>2.880917e+07</td>\n",
       "      <td>2.972680e+07</td>\n",
       "      <td>3.068250e+07</td>\n",
       "      <td>3.162751e+07</td>\n",
       "      <td>3.252656e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.377778e+08</td>\n",
       "      <td>5.488889e+08</td>\n",
       "      <td>5.466667e+08</td>\n",
       "      <td>7.511112e+08</td>\n",
       "      <td>8.000000e+08</td>\n",
       "      <td>1.006667e+09</td>\n",
       "      <td>1.400000e+09</td>\n",
       "      <td>1.673333e+09</td>\n",
       "      <td>1.373333e+09</td>\n",
       "      <td>1.408889e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>7.057598e+09</td>\n",
       "      <td>9.843842e+09</td>\n",
       "      <td>1.019053e+10</td>\n",
       "      <td>1.248694e+10</td>\n",
       "      <td>1.593680e+10</td>\n",
       "      <td>1.793024e+10</td>\n",
       "      <td>2.053654e+10</td>\n",
       "      <td>2.004633e+10</td>\n",
       "      <td>2.005019e+10</td>\n",
       "      <td>1.919944e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Albania</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.992547e+06</td>\n",
       "      <td>2.970017e+06</td>\n",
       "      <td>2.947314e+06</td>\n",
       "      <td>2.927519e+06</td>\n",
       "      <td>2.913021e+06</td>\n",
       "      <td>2.904780e+06</td>\n",
       "      <td>2.900247e+06</td>\n",
       "      <td>2.896652e+06</td>\n",
       "      <td>2.893654e+06</td>\n",
       "      <td>2.889167e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.992642e+09</td>\n",
       "      <td>1.070101e+10</td>\n",
       "      <td>1.288135e+10</td>\n",
       "      <td>1.204421e+10</td>\n",
       "      <td>1.192695e+10</td>\n",
       "      <td>1.289087e+10</td>\n",
       "      <td>1.231978e+10</td>\n",
       "      <td>1.278103e+10</td>\n",
       "      <td>1.327796e+10</td>\n",
       "      <td>1.145560e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Algeria</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.112489e+07</td>\n",
       "      <td>1.140486e+07</td>\n",
       "      <td>1.169015e+07</td>\n",
       "      <td>1.198513e+07</td>\n",
       "      <td>1.229597e+07</td>\n",
       "      <td>1.262695e+07</td>\n",
       "      <td>1.298027e+07</td>\n",
       "      <td>1.335420e+07</td>\n",
       "      <td>1.374438e+07</td>\n",
       "      <td>1.414444e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.374933e+07</td>\n",
       "      <td>3.426197e+07</td>\n",
       "      <td>3.481106e+07</td>\n",
       "      <td>3.540179e+07</td>\n",
       "      <td>3.603616e+07</td>\n",
       "      <td>3.671713e+07</td>\n",
       "      <td>3.743943e+07</td>\n",
       "      <td>3.818614e+07</td>\n",
       "      <td>3.893433e+07</td>\n",
       "      <td>3.966652e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.723638e+09</td>\n",
       "      <td>2.434767e+09</td>\n",
       "      <td>2.001461e+09</td>\n",
       "      <td>2.703004e+09</td>\n",
       "      <td>2.909340e+09</td>\n",
       "      <td>3.136284e+09</td>\n",
       "      <td>3.039859e+09</td>\n",
       "      <td>3.370870e+09</td>\n",
       "      <td>3.852147e+09</td>\n",
       "      <td>4.257253e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.170273e+11</td>\n",
       "      <td>1.349771e+11</td>\n",
       "      <td>1.710007e+11</td>\n",
       "      <td>1.372110e+11</td>\n",
       "      <td>1.612073e+11</td>\n",
       "      <td>2.000131e+11</td>\n",
       "      <td>2.090474e+11</td>\n",
       "      <td>2.097035e+11</td>\n",
       "      <td>2.135185e+11</td>\n",
       "      <td>1.668386e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Andorra</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.337300e+04</td>\n",
       "      <td>8.487800e+04</td>\n",
       "      <td>8.561600e+04</td>\n",
       "      <td>8.547400e+04</td>\n",
       "      <td>8.441900e+04</td>\n",
       "      <td>8.232600e+04</td>\n",
       "      <td>7.931600e+04</td>\n",
       "      <td>7.590200e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.536452e+09</td>\n",
       "      <td>4.010785e+09</td>\n",
       "      <td>4.001349e+09</td>\n",
       "      <td>3.649863e+09</td>\n",
       "      <td>3.346317e+09</td>\n",
       "      <td>3.427236e+09</td>\n",
       "      <td>3.146178e+09</td>\n",
       "      <td>3.249101e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Angola</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.854147e+07</td>\n",
       "      <td>1.918391e+07</td>\n",
       "      <td>1.984225e+07</td>\n",
       "      <td>2.052010e+07</td>\n",
       "      <td>2.121995e+07</td>\n",
       "      <td>2.194230e+07</td>\n",
       "      <td>2.268563e+07</td>\n",
       "      <td>2.344820e+07</td>\n",
       "      <td>2.422752e+07</td>\n",
       "      <td>2.502197e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.178948e+10</td>\n",
       "      <td>6.044892e+10</td>\n",
       "      <td>8.417803e+10</td>\n",
       "      <td>7.549238e+10</td>\n",
       "      <td>8.247091e+10</td>\n",
       "      <td>1.041159e+11</td>\n",
       "      <td>1.153984e+11</td>\n",
       "      <td>1.249121e+11</td>\n",
       "      <td>1.267751e+11</td>\n",
       "      <td>1.026431e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Antigua and Barbuda</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.346700e+04</td>\n",
       "      <td>8.439700e+04</td>\n",
       "      <td>8.535000e+04</td>\n",
       "      <td>8.630000e+04</td>\n",
       "      <td>8.723300e+04</td>\n",
       "      <td>8.815200e+04</td>\n",
       "      <td>8.906900e+04</td>\n",
       "      <td>8.998500e+04</td>\n",
       "      <td>9.090000e+04</td>\n",
       "      <td>9.181800e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.135144e+09</td>\n",
       "      <td>1.289254e+09</td>\n",
       "      <td>1.347350e+09</td>\n",
       "      <td>1.206410e+09</td>\n",
       "      <td>1.135539e+09</td>\n",
       "      <td>1.129918e+09</td>\n",
       "      <td>1.204713e+09</td>\n",
       "      <td>1.200588e+09</td>\n",
       "      <td>1.220976e+09</td>\n",
       "      <td>1.297285e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Arab World</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.155571e+08</td>\n",
       "      <td>1.188239e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>3.209067e+08</td>\n",
       "      <td>3.287666e+08</td>\n",
       "      <td>3.368865e+08</td>\n",
       "      <td>3.450542e+08</td>\n",
       "      <td>3.531122e+08</td>\n",
       "      <td>3.610318e+08</td>\n",
       "      <td>3.688026e+08</td>\n",
       "      <td>3.765043e+08</td>\n",
       "      <td>3.842226e+08</td>\n",
       "      <td>3.920223e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.552596e+10</td>\n",
       "      <td>2.817577e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>2.530102e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Argentina</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.128768e+07</td>\n",
       "      <td>2.162184e+07</td>\n",
       "      <td>2.195393e+07</td>\n",
       "      <td>2.228339e+07</td>\n",
       "      <td>2.260875e+07</td>\n",
       "      <td>2.293220e+07</td>\n",
       "      <td>2.326127e+07</td>\n",
       "      <td>2.360599e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.955875e+07</td>\n",
       "      <td>3.996990e+07</td>\n",
       "      <td>4.038186e+07</td>\n",
       "      <td>4.079864e+07</td>\n",
       "      <td>4.122288e+07</td>\n",
       "      <td>4.165562e+07</td>\n",
       "      <td>4.209522e+07</td>\n",
       "      <td>4.253830e+07</td>\n",
       "      <td>4.298003e+07</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.445060e+10</td>\n",
       "      <td>1.827212e+10</td>\n",
       "      <td>2.560525e+10</td>\n",
       "      <td>2.834471e+10</td>\n",
       "      <td>2.863047e+10</td>\n",
       "      <td>2.425667e+10</td>\n",
       "      <td>2.643686e+10</td>\n",
       "      <td>3.125628e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>2.626665e+11</td>\n",
       "      <td>3.293175e+11</td>\n",
       "      <td>4.037820e+11</td>\n",
       "      <td>3.766279e+11</td>\n",
       "      <td>4.616402e+11</td>\n",
       "      <td>5.578902e+11</td>\n",
       "      <td>6.043785e+11</td>\n",
       "      <td>6.239320e+11</td>\n",
       "      <td>5.480549e+11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Armenia</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.002161e+06</td>\n",
       "      <td>2.988117e+06</td>\n",
       "      <td>2.975029e+06</td>\n",
       "      <td>2.966108e+06</td>\n",
       "      <td>2.963496e+06</td>\n",
       "      <td>2.967984e+06</td>\n",
       "      <td>2.978339e+06</td>\n",
       "      <td>2.992192e+06</td>\n",
       "      <td>3.006154e+06</td>\n",
       "      <td>3.017712e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.384452e+09</td>\n",
       "      <td>9.206302e+09</td>\n",
       "      <td>1.166204e+10</td>\n",
       "      <td>8.647937e+09</td>\n",
       "      <td>9.260285e+09</td>\n",
       "      <td>1.014211e+10</td>\n",
       "      <td>1.061932e+10</td>\n",
       "      <td>1.112147e+10</td>\n",
       "      <td>1.164444e+10</td>\n",
       "      <td>1.056140e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Aruba</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.008300e+05</td>\n",
       "      <td>1.012180e+05</td>\n",
       "      <td>1.013420e+05</td>\n",
       "      <td>1.014160e+05</td>\n",
       "      <td>1.015970e+05</td>\n",
       "      <td>1.019360e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.421475e+09</td>\n",
       "      <td>2.623726e+09</td>\n",
       "      <td>2.791961e+09</td>\n",
       "      <td>2.498933e+09</td>\n",
       "      <td>2.467704e+09</td>\n",
       "      <td>2.584464e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Australia</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.027648e+07</td>\n",
       "      <td>1.048300e+07</td>\n",
       "      <td>1.074200e+07</td>\n",
       "      <td>1.095000e+07</td>\n",
       "      <td>1.116700e+07</td>\n",
       "      <td>1.138800e+07</td>\n",
       "      <td>1.165100e+07</td>\n",
       "      <td>1.179900e+07</td>\n",
       "      <td>1.200900e+07</td>\n",
       "      <td>1.226300e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.069790e+07</td>\n",
       "      <td>2.082760e+07</td>\n",
       "      <td>2.124920e+07</td>\n",
       "      <td>2.169170e+07</td>\n",
       "      <td>2.203175e+07</td>\n",
       "      <td>2.234002e+07</td>\n",
       "      <td>2.272825e+07</td>\n",
       "      <td>2.311735e+07</td>\n",
       "      <td>2.346409e+07</td>\n",
       "      <td>2.378117e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.856759e+10</td>\n",
       "      <td>1.963938e+10</td>\n",
       "      <td>1.988353e+10</td>\n",
       "      <td>2.149737e+10</td>\n",
       "      <td>2.375406e+10</td>\n",
       "      <td>2.592564e+10</td>\n",
       "      <td>2.725053e+10</td>\n",
       "      <td>3.037854e+10</td>\n",
       "      <td>3.264195e+10</td>\n",
       "      <td>3.660656e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>7.468808e+11</td>\n",
       "      <td>8.530533e+11</td>\n",
       "      <td>1.054558e+12</td>\n",
       "      <td>9.265638e+11</td>\n",
       "      <td>1.142251e+12</td>\n",
       "      <td>1.389919e+12</td>\n",
       "      <td>1.537478e+12</td>\n",
       "      <td>1.563951e+12</td>\n",
       "      <td>1.454675e+12</td>\n",
       "      <td>1.339539e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Austria</th>\n",
       "      <th>Population</th>\n",
       "      <td>7.047539e+06</td>\n",
       "      <td>7.086299e+06</td>\n",
       "      <td>7.129864e+06</td>\n",
       "      <td>7.175811e+06</td>\n",
       "      <td>7.223801e+06</td>\n",
       "      <td>7.270889e+06</td>\n",
       "      <td>7.322066e+06</td>\n",
       "      <td>7.376998e+06</td>\n",
       "      <td>7.415403e+06</td>\n",
       "      <td>7.441055e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>8.268641e+06</td>\n",
       "      <td>8.295487e+06</td>\n",
       "      <td>8.321496e+06</td>\n",
       "      <td>8.343323e+06</td>\n",
       "      <td>8.363404e+06</td>\n",
       "      <td>8.391643e+06</td>\n",
       "      <td>8.429991e+06</td>\n",
       "      <td>8.479375e+06</td>\n",
       "      <td>8.541575e+06</td>\n",
       "      <td>8.611088e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.592694e+09</td>\n",
       "      <td>7.311750e+09</td>\n",
       "      <td>7.756110e+09</td>\n",
       "      <td>8.374175e+09</td>\n",
       "      <td>9.169984e+09</td>\n",
       "      <td>9.994071e+09</td>\n",
       "      <td>1.088768e+10</td>\n",
       "      <td>1.157943e+10</td>\n",
       "      <td>1.244063e+10</td>\n",
       "      <td>1.358280e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>3.343094e+11</td>\n",
       "      <td>3.864590e+11</td>\n",
       "      <td>4.276115e+11</td>\n",
       "      <td>3.975943e+11</td>\n",
       "      <td>3.902351e+11</td>\n",
       "      <td>4.290107e+11</td>\n",
       "      <td>4.073730e+11</td>\n",
       "      <td>4.286986e+11</td>\n",
       "      <td>4.368875e+11</td>\n",
       "      <td>3.740559e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Azerbaijan</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.484550e+06</td>\n",
       "      <td>8.581300e+06</td>\n",
       "      <td>8.763400e+06</td>\n",
       "      <td>8.947243e+06</td>\n",
       "      <td>9.054332e+06</td>\n",
       "      <td>9.173082e+06</td>\n",
       "      <td>9.295784e+06</td>\n",
       "      <td>9.416801e+06</td>\n",
       "      <td>9.535079e+06</td>\n",
       "      <td>9.651349e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.098302e+10</td>\n",
       "      <td>3.305034e+10</td>\n",
       "      <td>4.885248e+10</td>\n",
       "      <td>4.429149e+10</td>\n",
       "      <td>5.290270e+10</td>\n",
       "      <td>6.595163e+10</td>\n",
       "      <td>6.873091e+10</td>\n",
       "      <td>7.356048e+10</td>\n",
       "      <td>7.519801e+10</td>\n",
       "      <td>5.304714e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bahamas, The</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.095260e+05</td>\n",
       "      <td>1.151080e+05</td>\n",
       "      <td>1.210830e+05</td>\n",
       "      <td>1.273310e+05</td>\n",
       "      <td>1.336970e+05</td>\n",
       "      <td>1.400490e+05</td>\n",
       "      <td>1.463640e+05</td>\n",
       "      <td>1.526070e+05</td>\n",
       "      <td>1.586290e+05</td>\n",
       "      <td>1.642500e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.358010e+05</td>\n",
       "      <td>3.422590e+05</td>\n",
       "      <td>3.485870e+05</td>\n",
       "      <td>3.547800e+05</td>\n",
       "      <td>3.608300e+05</td>\n",
       "      <td>3.667110e+05</td>\n",
       "      <td>3.723880e+05</td>\n",
       "      <td>3.778410e+05</td>\n",
       "      <td>3.830540e+05</td>\n",
       "      <td>3.880190e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.698023e+08</td>\n",
       "      <td>1.900962e+08</td>\n",
       "      <td>2.122528e+08</td>\n",
       "      <td>2.377428e+08</td>\n",
       "      <td>2.666641e+08</td>\n",
       "      <td>3.003922e+08</td>\n",
       "      <td>3.400000e+08</td>\n",
       "      <td>3.901961e+08</td>\n",
       "      <td>4.449020e+08</td>\n",
       "      <td>5.281373e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>7.965588e+09</td>\n",
       "      <td>8.318996e+09</td>\n",
       "      <td>8.246650e+09</td>\n",
       "      <td>7.820420e+09</td>\n",
       "      <td>7.909580e+09</td>\n",
       "      <td>7.889750e+09</td>\n",
       "      <td>8.234470e+09</td>\n",
       "      <td>8.431750e+09</td>\n",
       "      <td>8.510500e+09</td>\n",
       "      <td>8.884441e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bahrain</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>9.408080e+05</td>\n",
       "      <td>1.026568e+06</td>\n",
       "      <td>1.115777e+06</td>\n",
       "      <td>1.196774e+06</td>\n",
       "      <td>1.261319e+06</td>\n",
       "      <td>1.306014e+06</td>\n",
       "      <td>1.333577e+06</td>\n",
       "      <td>1.349427e+06</td>\n",
       "      <td>1.361930e+06</td>\n",
       "      <td>1.377237e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.850505e+10</td>\n",
       "      <td>2.173000e+10</td>\n",
       "      <td>2.571088e+10</td>\n",
       "      <td>2.293822e+10</td>\n",
       "      <td>2.571327e+10</td>\n",
       "      <td>2.904407e+10</td>\n",
       "      <td>3.075646e+10</td>\n",
       "      <td>3.289761e+10</td>\n",
       "      <td>3.385106e+10</td>\n",
       "      <td>3.222149e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United Arab Emirates</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>5.171255e+06</td>\n",
       "      <td>6.010100e+06</td>\n",
       "      <td>6.900142e+06</td>\n",
       "      <td>7.705423e+06</td>\n",
       "      <td>8.329453e+06</td>\n",
       "      <td>8.734722e+06</td>\n",
       "      <td>8.952542e+06</td>\n",
       "      <td>9.039978e+06</td>\n",
       "      <td>9.086139e+06</td>\n",
       "      <td>9.156963e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.221059e+11</td>\n",
       "      <td>2.579161e+11</td>\n",
       "      <td>3.154746e+11</td>\n",
       "      <td>2.535474e+11</td>\n",
       "      <td>2.860493e+11</td>\n",
       "      <td>3.485261e+11</td>\n",
       "      <td>3.734295e+11</td>\n",
       "      <td>3.871921e+11</td>\n",
       "      <td>3.994513e+11</td>\n",
       "      <td>3.702927e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United Kingdom</th>\n",
       "      <th>Population</th>\n",
       "      <td>5.240000e+07</td>\n",
       "      <td>5.280000e+07</td>\n",
       "      <td>5.325000e+07</td>\n",
       "      <td>5.365000e+07</td>\n",
       "      <td>5.400000e+07</td>\n",
       "      <td>5.434805e+07</td>\n",
       "      <td>5.464850e+07</td>\n",
       "      <td>5.494360e+07</td>\n",
       "      <td>5.521170e+07</td>\n",
       "      <td>5.544175e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>6.084682e+07</td>\n",
       "      <td>6.132246e+07</td>\n",
       "      <td>6.180700e+07</td>\n",
       "      <td>6.227627e+07</td>\n",
       "      <td>6.276636e+07</td>\n",
       "      <td>6.325892e+07</td>\n",
       "      <td>6.370030e+07</td>\n",
       "      <td>6.412823e+07</td>\n",
       "      <td>6.461316e+07</td>\n",
       "      <td>6.513823e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>7.232805e+10</td>\n",
       "      <td>7.669436e+10</td>\n",
       "      <td>8.060194e+10</td>\n",
       "      <td>8.544377e+10</td>\n",
       "      <td>9.338760e+10</td>\n",
       "      <td>1.005958e+11</td>\n",
       "      <td>1.070907e+11</td>\n",
       "      <td>1.111854e+11</td>\n",
       "      <td>1.047027e+11</td>\n",
       "      <td>1.126769e+11</td>\n",
       "      <td>...</td>\n",
       "      <td>2.588077e+12</td>\n",
       "      <td>2.969734e+12</td>\n",
       "      <td>2.793377e+12</td>\n",
       "      <td>2.314577e+12</td>\n",
       "      <td>2.403504e+12</td>\n",
       "      <td>2.594905e+12</td>\n",
       "      <td>2.630473e+12</td>\n",
       "      <td>2.712296e+12</td>\n",
       "      <td>2.990201e+12</td>\n",
       "      <td>2.848755e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United States</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.806710e+08</td>\n",
       "      <td>1.836910e+08</td>\n",
       "      <td>1.865380e+08</td>\n",
       "      <td>1.892420e+08</td>\n",
       "      <td>1.918890e+08</td>\n",
       "      <td>1.943030e+08</td>\n",
       "      <td>1.965600e+08</td>\n",
       "      <td>1.987120e+08</td>\n",
       "      <td>2.007060e+08</td>\n",
       "      <td>2.026770e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>2.983799e+08</td>\n",
       "      <td>3.012312e+08</td>\n",
       "      <td>3.040940e+08</td>\n",
       "      <td>3.067715e+08</td>\n",
       "      <td>3.093469e+08</td>\n",
       "      <td>3.117189e+08</td>\n",
       "      <td>3.141026e+08</td>\n",
       "      <td>3.164274e+08</td>\n",
       "      <td>3.189074e+08</td>\n",
       "      <td>3.214188e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.433000e+11</td>\n",
       "      <td>5.633000e+11</td>\n",
       "      <td>6.051000e+11</td>\n",
       "      <td>6.386000e+11</td>\n",
       "      <td>6.858000e+11</td>\n",
       "      <td>7.437000e+11</td>\n",
       "      <td>8.150000e+11</td>\n",
       "      <td>8.617000e+11</td>\n",
       "      <td>9.425000e+11</td>\n",
       "      <td>1.019900e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>1.385589e+13</td>\n",
       "      <td>1.447764e+13</td>\n",
       "      <td>1.471858e+13</td>\n",
       "      <td>1.441874e+13</td>\n",
       "      <td>1.496437e+13</td>\n",
       "      <td>1.551793e+13</td>\n",
       "      <td>1.615526e+13</td>\n",
       "      <td>1.666316e+13</td>\n",
       "      <td>1.734807e+13</td>\n",
       "      <td>1.794700e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Upper middle income</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.154592e+09</td>\n",
       "      <td>1.159145e+09</td>\n",
       "      <td>1.176093e+09</td>\n",
       "      <td>1.204372e+09</td>\n",
       "      <td>1.232266e+09</td>\n",
       "      <td>1.261069e+09</td>\n",
       "      <td>1.292755e+09</td>\n",
       "      <td>1.323615e+09</td>\n",
       "      <td>1.355381e+09</td>\n",
       "      <td>1.388827e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>2.380136e+09</td>\n",
       "      <td>2.397567e+09</td>\n",
       "      <td>2.415306e+09</td>\n",
       "      <td>2.433652e+09</td>\n",
       "      <td>2.452055e+09</td>\n",
       "      <td>2.470971e+09</td>\n",
       "      <td>2.490586e+09</td>\n",
       "      <td>2.510573e+09</td>\n",
       "      <td>2.530632e+09</td>\n",
       "      <td>2.550326e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.854612e+11</td>\n",
       "      <td>1.690732e+11</td>\n",
       "      <td>1.777957e+11</td>\n",
       "      <td>1.955819e+11</td>\n",
       "      <td>2.144250e+11</td>\n",
       "      <td>2.397244e+11</td>\n",
       "      <td>2.666625e+11</td>\n",
       "      <td>2.766866e+11</td>\n",
       "      <td>2.898954e+11</td>\n",
       "      <td>3.221882e+11</td>\n",
       "      <td>...</td>\n",
       "      <td>8.620784e+12</td>\n",
       "      <td>1.073130e+13</td>\n",
       "      <td>1.312644e+13</td>\n",
       "      <td>1.263584e+13</td>\n",
       "      <td>1.530029e+13</td>\n",
       "      <td>1.829801e+13</td>\n",
       "      <td>1.955543e+13</td>\n",
       "      <td>2.080729e+13</td>\n",
       "      <td>2.133305e+13</td>\n",
       "      <td>1.973288e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Uruguay</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.538651e+06</td>\n",
       "      <td>2.571691e+06</td>\n",
       "      <td>2.603887e+06</td>\n",
       "      <td>2.635128e+06</td>\n",
       "      <td>2.665387e+06</td>\n",
       "      <td>2.694535e+06</td>\n",
       "      <td>2.722874e+06</td>\n",
       "      <td>2.750093e+06</td>\n",
       "      <td>2.774771e+06</td>\n",
       "      <td>2.795044e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.331041e+06</td>\n",
       "      <td>3.339750e+06</td>\n",
       "      <td>3.350832e+06</td>\n",
       "      <td>3.362761e+06</td>\n",
       "      <td>3.374414e+06</td>\n",
       "      <td>3.385610e+06</td>\n",
       "      <td>3.396753e+06</td>\n",
       "      <td>3.407969e+06</td>\n",
       "      <td>3.419516e+06</td>\n",
       "      <td>3.431555e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.242289e+09</td>\n",
       "      <td>1.547389e+09</td>\n",
       "      <td>1.710004e+09</td>\n",
       "      <td>1.539682e+09</td>\n",
       "      <td>1.975702e+09</td>\n",
       "      <td>1.890769e+09</td>\n",
       "      <td>1.809184e+09</td>\n",
       "      <td>1.597721e+09</td>\n",
       "      <td>1.593675e+09</td>\n",
       "      <td>2.004435e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.957946e+10</td>\n",
       "      <td>2.341057e+10</td>\n",
       "      <td>3.036621e+10</td>\n",
       "      <td>3.166091e+10</td>\n",
       "      <td>4.028468e+10</td>\n",
       "      <td>4.796244e+10</td>\n",
       "      <td>5.126540e+10</td>\n",
       "      <td>5.753123e+10</td>\n",
       "      <td>5.723577e+10</td>\n",
       "      <td>5.344270e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Uzbekistan</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.648825e+07</td>\n",
       "      <td>2.686800e+07</td>\n",
       "      <td>2.730280e+07</td>\n",
       "      <td>2.776740e+07</td>\n",
       "      <td>2.856240e+07</td>\n",
       "      <td>2.933940e+07</td>\n",
       "      <td>2.977450e+07</td>\n",
       "      <td>3.024320e+07</td>\n",
       "      <td>3.075770e+07</td>\n",
       "      <td>3.129950e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.703090e+10</td>\n",
       "      <td>2.231139e+10</td>\n",
       "      <td>2.793403e+10</td>\n",
       "      <td>3.281683e+10</td>\n",
       "      <td>3.933277e+10</td>\n",
       "      <td>4.532432e+10</td>\n",
       "      <td>5.118344e+10</td>\n",
       "      <td>5.679566e+10</td>\n",
       "      <td>6.313285e+10</td>\n",
       "      <td>6.673280e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Vanuatu</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.146350e+05</td>\n",
       "      <td>2.199560e+05</td>\n",
       "      <td>2.253350e+05</td>\n",
       "      <td>2.307820e+05</td>\n",
       "      <td>2.362990e+05</td>\n",
       "      <td>2.418760e+05</td>\n",
       "      <td>2.474980e+05</td>\n",
       "      <td>2.531650e+05</td>\n",
       "      <td>2.588830e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.393768e+08</td>\n",
       "      <td>5.264283e+08</td>\n",
       "      <td>6.079586e+08</td>\n",
       "      <td>6.100666e+08</td>\n",
       "      <td>7.008043e+08</td>\n",
       "      <td>7.921497e+08</td>\n",
       "      <td>7.817029e+08</td>\n",
       "      <td>8.017876e+08</td>\n",
       "      <td>8.149546e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Venezuela, RB</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.146845e+06</td>\n",
       "      <td>8.461684e+06</td>\n",
       "      <td>8.790590e+06</td>\n",
       "      <td>9.130346e+06</td>\n",
       "      <td>9.476255e+06</td>\n",
       "      <td>9.824694e+06</td>\n",
       "      <td>1.017514e+07</td>\n",
       "      <td>1.052805e+07</td>\n",
       "      <td>1.088200e+07</td>\n",
       "      <td>1.123549e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.722123e+07</td>\n",
       "      <td>2.767066e+07</td>\n",
       "      <td>2.811672e+07</td>\n",
       "      <td>2.855861e+07</td>\n",
       "      <td>2.899574e+07</td>\n",
       "      <td>2.942763e+07</td>\n",
       "      <td>2.985424e+07</td>\n",
       "      <td>3.027604e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>8.607600e+09</td>\n",
       "      <td>8.923367e+09</td>\n",
       "      <td>9.873398e+09</td>\n",
       "      <td>1.066338e+10</td>\n",
       "      <td>9.113581e+09</td>\n",
       "      <td>9.602945e+09</td>\n",
       "      <td>1.009657e+10</td>\n",
       "      <td>1.047278e+10</td>\n",
       "      <td>1.147091e+10</td>\n",
       "      <td>1.192757e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.834775e+11</td>\n",
       "      <td>2.303642e+11</td>\n",
       "      <td>3.156002e+11</td>\n",
       "      <td>3.294190e+11</td>\n",
       "      <td>3.938015e+11</td>\n",
       "      <td>3.164822e+11</td>\n",
       "      <td>3.812862e+11</td>\n",
       "      <td>3.713366e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Vietnam</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.331120e+07</td>\n",
       "      <td>8.421850e+07</td>\n",
       "      <td>8.511870e+07</td>\n",
       "      <td>8.602500e+07</td>\n",
       "      <td>8.693250e+07</td>\n",
       "      <td>8.786030e+07</td>\n",
       "      <td>8.880920e+07</td>\n",
       "      <td>8.975950e+07</td>\n",
       "      <td>9.072890e+07</td>\n",
       "      <td>9.170380e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.637166e+10</td>\n",
       "      <td>7.741443e+10</td>\n",
       "      <td>9.913030e+10</td>\n",
       "      <td>1.060146e+11</td>\n",
       "      <td>1.159317e+11</td>\n",
       "      <td>1.355395e+11</td>\n",
       "      <td>1.558200e+11</td>\n",
       "      <td>1.712220e+11</td>\n",
       "      <td>1.862047e+11</td>\n",
       "      <td>1.935994e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Virgin Islands (U.S.)</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.200000e+04</td>\n",
       "      <td>3.410000e+04</td>\n",
       "      <td>3.630000e+04</td>\n",
       "      <td>3.870000e+04</td>\n",
       "      <td>4.130000e+04</td>\n",
       "      <td>4.400000e+04</td>\n",
       "      <td>4.730000e+04</td>\n",
       "      <td>5.080000e+04</td>\n",
       "      <td>5.460000e+04</td>\n",
       "      <td>5.860000e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.420000e+07</td>\n",
       "      <td>2.570000e+07</td>\n",
       "      <td>3.690000e+07</td>\n",
       "      <td>4.140000e+07</td>\n",
       "      <td>5.380000e+07</td>\n",
       "      <td>6.650000e+07</td>\n",
       "      <td>8.410000e+07</td>\n",
       "      <td>1.154000e+08</td>\n",
       "      <td>1.738000e+08</td>\n",
       "      <td>2.113000e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">West Bank and Gaza</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.406334e+06</td>\n",
       "      <td>3.494496e+06</td>\n",
       "      <td>3.596688e+06</td>\n",
       "      <td>3.702218e+06</td>\n",
       "      <td>3.811102e+06</td>\n",
       "      <td>3.927051e+06</td>\n",
       "      <td>4.046901e+06</td>\n",
       "      <td>4.169506e+06</td>\n",
       "      <td>4.294682e+06</td>\n",
       "      <td>4.422143e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.910100e+09</td>\n",
       "      <td>5.505800e+09</td>\n",
       "      <td>6.673500e+09</td>\n",
       "      <td>7.268200e+09</td>\n",
       "      <td>8.913100e+09</td>\n",
       "      <td>1.045985e+10</td>\n",
       "      <td>1.127940e+10</td>\n",
       "      <td>1.247600e+10</td>\n",
       "      <td>1.271560e+10</td>\n",
       "      <td>1.267740e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">World</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.035056e+09</td>\n",
       "      <td>3.076121e+09</td>\n",
       "      <td>3.129064e+09</td>\n",
       "      <td>3.193947e+09</td>\n",
       "      <td>3.259355e+09</td>\n",
       "      <td>3.326054e+09</td>\n",
       "      <td>3.395866e+09</td>\n",
       "      <td>3.465297e+09</td>\n",
       "      <td>3.535512e+09</td>\n",
       "      <td>3.609910e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>6.594722e+09</td>\n",
       "      <td>6.675833e+09</td>\n",
       "      <td>6.758303e+09</td>\n",
       "      <td>6.840956e+09</td>\n",
       "      <td>6.923684e+09</td>\n",
       "      <td>7.006908e+09</td>\n",
       "      <td>7.089452e+09</td>\n",
       "      <td>7.176092e+09</td>\n",
       "      <td>7.260780e+09</td>\n",
       "      <td>7.346633e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.364643e+12</td>\n",
       "      <td>1.420440e+12</td>\n",
       "      <td>1.524573e+12</td>\n",
       "      <td>1.638187e+12</td>\n",
       "      <td>1.799675e+12</td>\n",
       "      <td>1.959900e+12</td>\n",
       "      <td>2.125397e+12</td>\n",
       "      <td>2.262923e+12</td>\n",
       "      <td>2.440549e+12</td>\n",
       "      <td>2.686747e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>5.107451e+13</td>\n",
       "      <td>5.758343e+13</td>\n",
       "      <td>6.312856e+13</td>\n",
       "      <td>5.983553e+13</td>\n",
       "      <td>6.564782e+13</td>\n",
       "      <td>7.284314e+13</td>\n",
       "      <td>7.442836e+13</td>\n",
       "      <td>7.643132e+13</td>\n",
       "      <td>7.810634e+13</td>\n",
       "      <td>7.343364e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Yemen, Rep.</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.109397e+07</td>\n",
       "      <td>2.170110e+07</td>\n",
       "      <td>2.232270e+07</td>\n",
       "      <td>2.295423e+07</td>\n",
       "      <td>2.359197e+07</td>\n",
       "      <td>2.423494e+07</td>\n",
       "      <td>2.488279e+07</td>\n",
       "      <td>2.553322e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.908173e+10</td>\n",
       "      <td>2.563367e+10</td>\n",
       "      <td>3.039720e+10</td>\n",
       "      <td>2.845950e+10</td>\n",
       "      <td>3.090675e+10</td>\n",
       "      <td>3.107886e+10</td>\n",
       "      <td>3.207477e+10</td>\n",
       "      <td>3.595450e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Zambia</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.049586e+06</td>\n",
       "      <td>3.142848e+06</td>\n",
       "      <td>3.240664e+06</td>\n",
       "      <td>3.342894e+06</td>\n",
       "      <td>3.449266e+06</td>\n",
       "      <td>3.559687e+06</td>\n",
       "      <td>3.674088e+06</td>\n",
       "      <td>3.792864e+06</td>\n",
       "      <td>3.916928e+06</td>\n",
       "      <td>4.047479e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.238151e+07</td>\n",
       "      <td>1.273868e+07</td>\n",
       "      <td>1.311458e+07</td>\n",
       "      <td>1.350785e+07</td>\n",
       "      <td>1.391744e+07</td>\n",
       "      <td>1.434353e+07</td>\n",
       "      <td>1.478658e+07</td>\n",
       "      <td>1.524609e+07</td>\n",
       "      <td>1.572134e+07</td>\n",
       "      <td>1.621177e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.987397e+08</td>\n",
       "      <td>6.823597e+08</td>\n",
       "      <td>6.792797e+08</td>\n",
       "      <td>7.043397e+08</td>\n",
       "      <td>8.226397e+08</td>\n",
       "      <td>1.061200e+09</td>\n",
       "      <td>1.239000e+09</td>\n",
       "      <td>1.340639e+09</td>\n",
       "      <td>1.573739e+09</td>\n",
       "      <td>1.926399e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.275686e+10</td>\n",
       "      <td>1.405696e+10</td>\n",
       "      <td>1.791086e+10</td>\n",
       "      <td>1.532834e+10</td>\n",
       "      <td>2.026555e+10</td>\n",
       "      <td>2.345952e+10</td>\n",
       "      <td>2.550306e+10</td>\n",
       "      <td>2.804552e+10</td>\n",
       "      <td>2.713464e+10</td>\n",
       "      <td>2.120156e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Zimbabwe</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.752390e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "      <td>5.036321e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.312794e+07</td>\n",
       "      <td>1.329780e+07</td>\n",
       "      <td>1.349546e+07</td>\n",
       "      <td>1.372100e+07</td>\n",
       "      <td>1.397390e+07</td>\n",
       "      <td>1.425559e+07</td>\n",
       "      <td>1.456548e+07</td>\n",
       "      <td>1.489809e+07</td>\n",
       "      <td>1.524586e+07</td>\n",
       "      <td>1.560275e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.052990e+09</td>\n",
       "      <td>1.096647e+09</td>\n",
       "      <td>1.117602e+09</td>\n",
       "      <td>1.159512e+09</td>\n",
       "      <td>1.217138e+09</td>\n",
       "      <td>1.311436e+09</td>\n",
       "      <td>1.281750e+09</td>\n",
       "      <td>1.397002e+09</td>\n",
       "      <td>1.479600e+09</td>\n",
       "      <td>1.747999e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>5.443896e+09</td>\n",
       "      <td>5.291950e+09</td>\n",
       "      <td>4.415703e+09</td>\n",
       "      <td>8.157077e+09</td>\n",
       "      <td>9.422161e+09</td>\n",
       "      <td>1.095623e+10</td>\n",
       "      <td>1.239272e+10</td>\n",
       "      <td>1.349023e+10</td>\n",
       "      <td>1.419691e+10</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>504 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "year                                      1960          1961          1962  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  8.994793e+06  9.164945e+06  9.343772e+06   \n",
       "                      GDP         5.377778e+08  5.488889e+08  5.466667e+08   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.112489e+07  1.140486e+07  1.169015e+07   \n",
       "                      GDP         2.723638e+09  2.434767e+09  2.001461e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Argentina             Population           NaN           NaN  2.128768e+07   \n",
       "                      GDP                  NaN           NaN  2.445060e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.027648e+07  1.048300e+07  1.074200e+07   \n",
       "                      GDP         1.856759e+10  1.963938e+10  1.988353e+10   \n",
       "Austria               Population  7.047539e+06  7.086299e+06  7.129864e+06   \n",
       "                      GDP         6.592694e+09  7.311750e+09  7.756110e+09   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.095260e+05  1.151080e+05  1.210830e+05   \n",
       "                      GDP         1.698023e+08  1.900962e+08  2.122528e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.240000e+07  5.280000e+07  5.325000e+07   \n",
       "                      GDP         7.232805e+10  7.669436e+10  8.060194e+10   \n",
       "United States         Population  1.806710e+08  1.836910e+08  1.865380e+08   \n",
       "                      GDP         5.433000e+11  5.633000e+11  6.051000e+11   \n",
       "Upper middle income   Population  1.154592e+09  1.159145e+09  1.176093e+09   \n",
       "                      GDP         1.854612e+11  1.690732e+11  1.777957e+11   \n",
       "Uruguay               Population  2.538651e+06  2.571691e+06  2.603887e+06   \n",
       "                      GDP         1.242289e+09  1.547389e+09  1.710004e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  8.146845e+06  8.461684e+06  8.790590e+06   \n",
       "                      GDP         8.607600e+09  8.923367e+09  9.873398e+09   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  3.200000e+04  3.410000e+04  3.630000e+04   \n",
       "                      GDP         2.420000e+07  2.570000e+07  3.690000e+07   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.035056e+09  3.076121e+09  3.129064e+09   \n",
       "                      GDP         1.364643e+12  1.420440e+12  1.524573e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.049586e+06  3.142848e+06  3.240664e+06   \n",
       "                      GDP         6.987397e+08  6.823597e+08  6.792797e+08   \n",
       "Zimbabwe              Population  3.752390e+06  3.876638e+06  4.006262e+06   \n",
       "                      GDP         1.052990e+09  1.096647e+09  1.117602e+09   \n",
       "\n",
       "year                                      1963          1964          1965  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  9.531555e+06  9.728645e+06  9.935358e+06   \n",
       "                      GDP         7.511112e+08  8.000000e+08  1.006667e+09   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.198513e+07  1.229597e+07  1.262695e+07   \n",
       "                      GDP         2.703004e+09  2.909340e+09  3.136284e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Argentina             Population  2.162184e+07  2.195393e+07  2.228339e+07   \n",
       "                      GDP         1.827212e+10  2.560525e+10  2.834471e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.095000e+07  1.116700e+07  1.138800e+07   \n",
       "                      GDP         2.149737e+10  2.375406e+10  2.592564e+10   \n",
       "Austria               Population  7.175811e+06  7.223801e+06  7.270889e+06   \n",
       "                      GDP         8.374175e+09  9.169984e+09  9.994071e+09   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.273310e+05  1.336970e+05  1.400490e+05   \n",
       "                      GDP         2.377428e+08  2.666641e+08  3.003922e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.365000e+07  5.400000e+07  5.434805e+07   \n",
       "                      GDP         8.544377e+10  9.338760e+10  1.005958e+11   \n",
       "United States         Population  1.892420e+08  1.918890e+08  1.943030e+08   \n",
       "                      GDP         6.386000e+11  6.858000e+11  7.437000e+11   \n",
       "Upper middle income   Population  1.204372e+09  1.232266e+09  1.261069e+09   \n",
       "                      GDP         1.955819e+11  2.144250e+11  2.397244e+11   \n",
       "Uruguay               Population  2.635128e+06  2.665387e+06  2.694535e+06   \n",
       "                      GDP         1.539682e+09  1.975702e+09  1.890769e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  9.130346e+06  9.476255e+06  9.824694e+06   \n",
       "                      GDP         1.066338e+10  9.113581e+09  9.602945e+09   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  3.870000e+04  4.130000e+04  4.400000e+04   \n",
       "                      GDP         4.140000e+07  5.380000e+07  6.650000e+07   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.193947e+09  3.259355e+09  3.326054e+09   \n",
       "                      GDP         1.638187e+12  1.799675e+12  1.959900e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.342894e+06  3.449266e+06  3.559687e+06   \n",
       "                      GDP         7.043397e+08  8.226397e+08  1.061200e+09   \n",
       "Zimbabwe              Population  4.140804e+06  4.279561e+06  4.422132e+06   \n",
       "                      GDP         1.159512e+09  1.217138e+09  1.311436e+09   \n",
       "\n",
       "year                                      1966          1967          1968  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  1.014884e+07  1.036860e+07  1.059979e+07   \n",
       "                      GDP         1.400000e+09  1.673333e+09  1.373333e+09   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.298027e+07  1.335420e+07  1.374438e+07   \n",
       "                      GDP         3.039859e+09  3.370870e+09  3.852147e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN  1.155571e+08   \n",
       "                      GDP                  NaN           NaN  2.552596e+10   \n",
       "Argentina             Population  2.260875e+07  2.293220e+07  2.326127e+07   \n",
       "                      GDP         2.863047e+10  2.425667e+10  2.643686e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.165100e+07  1.179900e+07  1.200900e+07   \n",
       "                      GDP         2.725053e+10  3.037854e+10  3.264195e+10   \n",
       "Austria               Population  7.322066e+06  7.376998e+06  7.415403e+06   \n",
       "                      GDP         1.088768e+10  1.157943e+10  1.244063e+10   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.463640e+05  1.526070e+05  1.586290e+05   \n",
       "                      GDP         3.400000e+08  3.901961e+08  4.449020e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.464850e+07  5.494360e+07  5.521170e+07   \n",
       "                      GDP         1.070907e+11  1.111854e+11  1.047027e+11   \n",
       "United States         Population  1.965600e+08  1.987120e+08  2.007060e+08   \n",
       "                      GDP         8.150000e+11  8.617000e+11  9.425000e+11   \n",
       "Upper middle income   Population  1.292755e+09  1.323615e+09  1.355381e+09   \n",
       "                      GDP         2.666625e+11  2.766866e+11  2.898954e+11   \n",
       "Uruguay               Population  2.722874e+06  2.750093e+06  2.774771e+06   \n",
       "                      GDP         1.809184e+09  1.597721e+09  1.593675e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  1.017514e+07  1.052805e+07  1.088200e+07   \n",
       "                      GDP         1.009657e+10  1.047278e+10  1.147091e+10   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  4.730000e+04  5.080000e+04  5.460000e+04   \n",
       "                      GDP         8.410000e+07  1.154000e+08  1.738000e+08   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.395866e+09  3.465297e+09  3.535512e+09   \n",
       "                      GDP         2.125397e+12  2.262923e+12  2.440549e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.674088e+06  3.792864e+06  3.916928e+06   \n",
       "                      GDP         1.239000e+09  1.340639e+09  1.573739e+09   \n",
       "Zimbabwe              Population  4.568320e+06  4.718612e+06  4.874113e+06   \n",
       "                      GDP         1.281750e+09  1.397002e+09  1.479600e+09   \n",
       "\n",
       "year                                      1969  ...          2006  \\\n",
       "country                                         ...                 \n",
       "Afghanistan           Population  1.084951e+07  ...  2.518362e+07   \n",
       "                      GDP         1.408889e+09  ...  7.057598e+09   \n",
       "Albania               Population           NaN  ...  2.992547e+06   \n",
       "                      GDP                  NaN  ...  8.992642e+09   \n",
       "Algeria               Population  1.414444e+07  ...  3.374933e+07   \n",
       "                      GDP         4.257253e+09  ...  1.170273e+11   \n",
       "Andorra               Population           NaN  ...  8.337300e+04   \n",
       "                      GDP                  NaN  ...  3.536452e+09   \n",
       "Angola                Population           NaN  ...  1.854147e+07   \n",
       "                      GDP                  NaN  ...  4.178948e+10   \n",
       "Antigua and Barbuda   Population           NaN  ...  8.346700e+04   \n",
       "                      GDP                  NaN  ...  1.135144e+09   \n",
       "Arab World            Population  1.188239e+08  ...  3.209067e+08   \n",
       "                      GDP         2.817577e+10  ...  1.404190e+12   \n",
       "Argentina             Population  2.360599e+07  ...  3.955875e+07   \n",
       "                      GDP         3.125628e+10  ...  2.626665e+11   \n",
       "Armenia               Population           NaN  ...  3.002161e+06   \n",
       "                      GDP                  NaN  ...  6.384452e+09   \n",
       "Aruba                 Population           NaN  ...  1.008300e+05   \n",
       "                      GDP                  NaN  ...  2.421475e+09   \n",
       "Australia             Population  1.226300e+07  ...  2.069790e+07   \n",
       "                      GDP         3.660656e+10  ...  7.468808e+11   \n",
       "Austria               Population  7.441055e+06  ...  8.268641e+06   \n",
       "                      GDP         1.358280e+10  ...  3.343094e+11   \n",
       "Azerbaijan            Population           NaN  ...  8.484550e+06   \n",
       "                      GDP                  NaN  ...  2.098302e+10   \n",
       "Bahamas, The          Population  1.642500e+05  ...  3.358010e+05   \n",
       "                      GDP         5.281373e+08  ...  7.965588e+09   \n",
       "Bahrain               Population           NaN  ...  9.408080e+05   \n",
       "                      GDP                  NaN  ...  1.850505e+10   \n",
       "...                                        ...  ...           ...   \n",
       "United Arab Emirates  Population           NaN  ...  5.171255e+06   \n",
       "                      GDP                  NaN  ...  2.221059e+11   \n",
       "United Kingdom        Population  5.544175e+07  ...  6.084682e+07   \n",
       "                      GDP         1.126769e+11  ...  2.588077e+12   \n",
       "United States         Population  2.026770e+08  ...  2.983799e+08   \n",
       "                      GDP         1.019900e+12  ...  1.385589e+13   \n",
       "Upper middle income   Population  1.388827e+09  ...  2.380136e+09   \n",
       "                      GDP         3.221882e+11  ...  8.620784e+12   \n",
       "Uruguay               Population  2.795044e+06  ...  3.331041e+06   \n",
       "                      GDP         2.004435e+09  ...  1.957946e+10   \n",
       "Uzbekistan            Population           NaN  ...  2.648825e+07   \n",
       "                      GDP                  NaN  ...  1.703090e+10   \n",
       "Vanuatu               Population           NaN  ...  2.146350e+05   \n",
       "                      GDP                  NaN  ...  4.393768e+08   \n",
       "Venezuela, RB         Population  1.123549e+07  ...  2.722123e+07   \n",
       "                      GDP         1.192757e+10  ...  1.834775e+11   \n",
       "Vietnam               Population           NaN  ...  8.331120e+07   \n",
       "                      GDP                  NaN  ...  6.637166e+10   \n",
       "Virgin Islands (U.S.) Population  5.860000e+04  ...           NaN   \n",
       "                      GDP         2.113000e+08  ...           NaN   \n",
       "West Bank and Gaza    Population           NaN  ...  3.406334e+06   \n",
       "                      GDP                  NaN  ...  4.910100e+09   \n",
       "World                 Population  3.609910e+09  ...  6.594722e+09   \n",
       "                      GDP         2.686747e+12  ...  5.107451e+13   \n",
       "Yemen, Rep.           Population           NaN  ...  2.109397e+07   \n",
       "                      GDP                  NaN  ...  1.908173e+10   \n",
       "Zambia                Population  4.047479e+06  ...  1.238151e+07   \n",
       "                      GDP         1.926399e+09  ...  1.275686e+10   \n",
       "Zimbabwe              Population  5.036321e+06  ...  1.312794e+07   \n",
       "                      GDP         1.747999e+09  ...  5.443896e+09   \n",
       "\n",
       "year                                      2007          2008          2009  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  2.587754e+07  2.652874e+07  2.720729e+07   \n",
       "                      GDP         9.843842e+09  1.019053e+10  1.248694e+10   \n",
       "Albania               Population  2.970017e+06  2.947314e+06  2.927519e+06   \n",
       "                      GDP         1.070101e+10  1.288135e+10  1.204421e+10   \n",
       "Algeria               Population  3.426197e+07  3.481106e+07  3.540179e+07   \n",
       "                      GDP         1.349771e+11  1.710007e+11  1.372110e+11   \n",
       "Andorra               Population  8.487800e+04  8.561600e+04  8.547400e+04   \n",
       "                      GDP         4.010785e+09  4.001349e+09  3.649863e+09   \n",
       "Angola                Population  1.918391e+07  1.984225e+07  2.052010e+07   \n",
       "                      GDP         6.044892e+10  8.417803e+10  7.549238e+10   \n",
       "Antigua and Barbuda   Population  8.439700e+04  8.535000e+04  8.630000e+04   \n",
       "                      GDP         1.289254e+09  1.347350e+09  1.206410e+09   \n",
       "Arab World            Population  3.287666e+08  3.368865e+08  3.450542e+08   \n",
       "                      GDP         1.641666e+12  2.081343e+12  1.798878e+12   \n",
       "Argentina             Population  3.996990e+07  4.038186e+07  4.079864e+07   \n",
       "                      GDP         3.293175e+11  4.037820e+11  3.766279e+11   \n",
       "Armenia               Population  2.988117e+06  2.975029e+06  2.966108e+06   \n",
       "                      GDP         9.206302e+09  1.166204e+10  8.647937e+09   \n",
       "Aruba                 Population  1.012180e+05  1.013420e+05  1.014160e+05   \n",
       "                      GDP         2.623726e+09  2.791961e+09  2.498933e+09   \n",
       "Australia             Population  2.082760e+07  2.124920e+07  2.169170e+07   \n",
       "                      GDP         8.530533e+11  1.054558e+12  9.265638e+11   \n",
       "Austria               Population  8.295487e+06  8.321496e+06  8.343323e+06   \n",
       "                      GDP         3.864590e+11  4.276115e+11  3.975943e+11   \n",
       "Azerbaijan            Population  8.581300e+06  8.763400e+06  8.947243e+06   \n",
       "                      GDP         3.305034e+10  4.885248e+10  4.429149e+10   \n",
       "Bahamas, The          Population  3.422590e+05  3.485870e+05  3.547800e+05   \n",
       "                      GDP         8.318996e+09  8.246650e+09  7.820420e+09   \n",
       "Bahrain               Population  1.026568e+06  1.115777e+06  1.196774e+06   \n",
       "                      GDP         2.173000e+10  2.571088e+10  2.293822e+10   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  6.010100e+06  6.900142e+06  7.705423e+06   \n",
       "                      GDP         2.579161e+11  3.154746e+11  2.535474e+11   \n",
       "United Kingdom        Population  6.132246e+07  6.180700e+07  6.227627e+07   \n",
       "                      GDP         2.969734e+12  2.793377e+12  2.314577e+12   \n",
       "United States         Population  3.012312e+08  3.040940e+08  3.067715e+08   \n",
       "                      GDP         1.447764e+13  1.471858e+13  1.441874e+13   \n",
       "Upper middle income   Population  2.397567e+09  2.415306e+09  2.433652e+09   \n",
       "                      GDP         1.073130e+13  1.312644e+13  1.263584e+13   \n",
       "Uruguay               Population  3.339750e+06  3.350832e+06  3.362761e+06   \n",
       "                      GDP         2.341057e+10  3.036621e+10  3.166091e+10   \n",
       "Uzbekistan            Population  2.686800e+07  2.730280e+07  2.776740e+07   \n",
       "                      GDP         2.231139e+10  2.793403e+10  3.281683e+10   \n",
       "Vanuatu               Population  2.199560e+05  2.253350e+05  2.307820e+05   \n",
       "                      GDP         5.264283e+08  6.079586e+08  6.100666e+08   \n",
       "Venezuela, RB         Population  2.767066e+07  2.811672e+07  2.855861e+07   \n",
       "                      GDP         2.303642e+11  3.156002e+11  3.294190e+11   \n",
       "Vietnam               Population  8.421850e+07  8.511870e+07  8.602500e+07   \n",
       "                      GDP         7.741443e+10  9.913030e+10  1.060146e+11   \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "West Bank and Gaza    Population  3.494496e+06  3.596688e+06  3.702218e+06   \n",
       "                      GDP         5.505800e+09  6.673500e+09  7.268200e+09   \n",
       "World                 Population  6.675833e+09  6.758303e+09  6.840956e+09   \n",
       "                      GDP         5.758343e+13  6.312856e+13  5.983553e+13   \n",
       "Yemen, Rep.           Population  2.170110e+07  2.232270e+07  2.295423e+07   \n",
       "                      GDP         2.563367e+10  3.039720e+10  2.845950e+10   \n",
       "Zambia                Population  1.273868e+07  1.311458e+07  1.350785e+07   \n",
       "                      GDP         1.405696e+10  1.791086e+10  1.532834e+10   \n",
       "Zimbabwe              Population  1.329780e+07  1.349546e+07  1.372100e+07   \n",
       "                      GDP         5.291950e+09  4.415703e+09  8.157077e+09   \n",
       "\n",
       "year                                      2010          2011          2012  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  2.796221e+07  2.880917e+07  2.972680e+07   \n",
       "                      GDP         1.593680e+10  1.793024e+10  2.053654e+10   \n",
       "Albania               Population  2.913021e+06  2.904780e+06  2.900247e+06   \n",
       "                      GDP         1.192695e+10  1.289087e+10  1.231978e+10   \n",
       "Algeria               Population  3.603616e+07  3.671713e+07  3.743943e+07   \n",
       "                      GDP         1.612073e+11  2.000131e+11  2.090474e+11   \n",
       "Andorra               Population  8.441900e+04  8.232600e+04  7.931600e+04   \n",
       "                      GDP         3.346317e+09  3.427236e+09  3.146178e+09   \n",
       "Angola                Population  2.121995e+07  2.194230e+07  2.268563e+07   \n",
       "                      GDP         8.247091e+10  1.041159e+11  1.153984e+11   \n",
       "Antigua and Barbuda   Population  8.723300e+04  8.815200e+04  8.906900e+04   \n",
       "                      GDP         1.135539e+09  1.129918e+09  1.204713e+09   \n",
       "Arab World            Population  3.531122e+08  3.610318e+08  3.688026e+08   \n",
       "                      GDP         2.103825e+12  2.497945e+12  2.773270e+12   \n",
       "Argentina             Population  4.122288e+07  4.165562e+07  4.209522e+07   \n",
       "                      GDP         4.616402e+11  5.578902e+11  6.043785e+11   \n",
       "Armenia               Population  2.963496e+06  2.967984e+06  2.978339e+06   \n",
       "                      GDP         9.260285e+09  1.014211e+10  1.061932e+10   \n",
       "Aruba                 Population  1.015970e+05  1.019360e+05           NaN   \n",
       "                      GDP         2.467704e+09  2.584464e+09           NaN   \n",
       "Australia             Population  2.203175e+07  2.234002e+07  2.272825e+07   \n",
       "                      GDP         1.142251e+12  1.389919e+12  1.537478e+12   \n",
       "Austria               Population  8.363404e+06  8.391643e+06  8.429991e+06   \n",
       "                      GDP         3.902351e+11  4.290107e+11  4.073730e+11   \n",
       "Azerbaijan            Population  9.054332e+06  9.173082e+06  9.295784e+06   \n",
       "                      GDP         5.290270e+10  6.595163e+10  6.873091e+10   \n",
       "Bahamas, The          Population  3.608300e+05  3.667110e+05  3.723880e+05   \n",
       "                      GDP         7.909580e+09  7.889750e+09  8.234470e+09   \n",
       "Bahrain               Population  1.261319e+06  1.306014e+06  1.333577e+06   \n",
       "                      GDP         2.571327e+10  2.904407e+10  3.075646e+10   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  8.329453e+06  8.734722e+06  8.952542e+06   \n",
       "                      GDP         2.860493e+11  3.485261e+11  3.734295e+11   \n",
       "United Kingdom        Population  6.276636e+07  6.325892e+07  6.370030e+07   \n",
       "                      GDP         2.403504e+12  2.594905e+12  2.630473e+12   \n",
       "United States         Population  3.093469e+08  3.117189e+08  3.141026e+08   \n",
       "                      GDP         1.496437e+13  1.551793e+13  1.615526e+13   \n",
       "Upper middle income   Population  2.452055e+09  2.470971e+09  2.490586e+09   \n",
       "                      GDP         1.530029e+13  1.829801e+13  1.955543e+13   \n",
       "Uruguay               Population  3.374414e+06  3.385610e+06  3.396753e+06   \n",
       "                      GDP         4.028468e+10  4.796244e+10  5.126540e+10   \n",
       "Uzbekistan            Population  2.856240e+07  2.933940e+07  2.977450e+07   \n",
       "                      GDP         3.933277e+10  4.532432e+10  5.118344e+10   \n",
       "Vanuatu               Population  2.362990e+05  2.418760e+05  2.474980e+05   \n",
       "                      GDP         7.008043e+08  7.921497e+08  7.817029e+08   \n",
       "Venezuela, RB         Population  2.899574e+07  2.942763e+07  2.985424e+07   \n",
       "                      GDP         3.938015e+11  3.164822e+11  3.812862e+11   \n",
       "Vietnam               Population  8.693250e+07  8.786030e+07  8.880920e+07   \n",
       "                      GDP         1.159317e+11  1.355395e+11  1.558200e+11   \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "West Bank and Gaza    Population  3.811102e+06  3.927051e+06  4.046901e+06   \n",
       "                      GDP         8.913100e+09  1.045985e+10  1.127940e+10   \n",
       "World                 Population  6.923684e+09  7.006908e+09  7.089452e+09   \n",
       "                      GDP         6.564782e+13  7.284314e+13  7.442836e+13   \n",
       "Yemen, Rep.           Population  2.359197e+07  2.423494e+07  2.488279e+07   \n",
       "                      GDP         3.090675e+10  3.107886e+10  3.207477e+10   \n",
       "Zambia                Population  1.391744e+07  1.434353e+07  1.478658e+07   \n",
       "                      GDP         2.026555e+10  2.345952e+10  2.550306e+10   \n",
       "Zimbabwe              Population  1.397390e+07  1.425559e+07  1.456548e+07   \n",
       "                      GDP         9.422161e+09  1.095623e+10  1.239272e+10   \n",
       "\n",
       "year                                      2013          2014          2015  \n",
       "country                                                                     \n",
       "Afghanistan           Population  3.068250e+07  3.162751e+07  3.252656e+07  \n",
       "                      GDP         2.004633e+10  2.005019e+10  1.919944e+10  \n",
       "Albania               Population  2.896652e+06  2.893654e+06  2.889167e+06  \n",
       "                      GDP         1.278103e+10  1.327796e+10  1.145560e+10  \n",
       "Algeria               Population  3.818614e+07  3.893433e+07  3.966652e+07  \n",
       "                      GDP         2.097035e+11  2.135185e+11  1.668386e+11  \n",
       "Andorra               Population  7.590200e+04           NaN           NaN  \n",
       "                      GDP         3.249101e+09           NaN           NaN  \n",
       "Angola                Population  2.344820e+07  2.422752e+07  2.502197e+07  \n",
       "                      GDP         1.249121e+11  1.267751e+11  1.026431e+11  \n",
       "Antigua and Barbuda   Population  8.998500e+04  9.090000e+04  9.181800e+04  \n",
       "                      GDP         1.200588e+09  1.220976e+09  1.297285e+09  \n",
       "Arab World            Population  3.765043e+08  3.842226e+08  3.920223e+08  \n",
       "                      GDP         2.846994e+12  2.873600e+12  2.530102e+12  \n",
       "Argentina             Population  4.253830e+07  4.298003e+07           NaN  \n",
       "                      GDP         6.239320e+11  5.480549e+11           NaN  \n",
       "Armenia               Population  2.992192e+06  3.006154e+06  3.017712e+06  \n",
       "                      GDP         1.112147e+10  1.164444e+10  1.056140e+10  \n",
       "Aruba                 Population           NaN           NaN           NaN  \n",
       "                      GDP                  NaN           NaN           NaN  \n",
       "Australia             Population  2.311735e+07  2.346409e+07  2.378117e+07  \n",
       "                      GDP         1.563951e+12  1.454675e+12  1.339539e+12  \n",
       "Austria               Population  8.479375e+06  8.541575e+06  8.611088e+06  \n",
       "                      GDP         4.286986e+11  4.368875e+11  3.740559e+11  \n",
       "Azerbaijan            Population  9.416801e+06  9.535079e+06  9.651349e+06  \n",
       "                      GDP         7.356048e+10  7.519801e+10  5.304714e+10  \n",
       "Bahamas, The          Population  3.778410e+05  3.830540e+05  3.880190e+05  \n",
       "                      GDP         8.431750e+09  8.510500e+09  8.884441e+09  \n",
       "Bahrain               Population  1.349427e+06  1.361930e+06  1.377237e+06  \n",
       "                      GDP         3.289761e+10  3.385106e+10  3.222149e+10  \n",
       "...                                        ...           ...           ...  \n",
       "United Arab Emirates  Population  9.039978e+06  9.086139e+06  9.156963e+06  \n",
       "                      GDP         3.871921e+11  3.994513e+11  3.702927e+11  \n",
       "United Kingdom        Population  6.412823e+07  6.461316e+07  6.513823e+07  \n",
       "                      GDP         2.712296e+12  2.990201e+12  2.848755e+12  \n",
       "United States         Population  3.164274e+08  3.189074e+08  3.214188e+08  \n",
       "                      GDP         1.666316e+13  1.734807e+13  1.794700e+13  \n",
       "Upper middle income   Population  2.510573e+09  2.530632e+09  2.550326e+09  \n",
       "                      GDP         2.080729e+13  2.133305e+13  1.973288e+13  \n",
       "Uruguay               Population  3.407969e+06  3.419516e+06  3.431555e+06  \n",
       "                      GDP         5.753123e+10  5.723577e+10  5.344270e+10  \n",
       "Uzbekistan            Population  3.024320e+07  3.075770e+07  3.129950e+07  \n",
       "                      GDP         5.679566e+10  6.313285e+10  6.673280e+10  \n",
       "Vanuatu               Population  2.531650e+05  2.588830e+05           NaN  \n",
       "                      GDP         8.017876e+08  8.149546e+08           NaN  \n",
       "Venezuela, RB         Population  3.027604e+07           NaN           NaN  \n",
       "                      GDP         3.713366e+11           NaN           NaN  \n",
       "Vietnam               Population  8.975950e+07  9.072890e+07  9.170380e+07  \n",
       "                      GDP         1.712220e+11  1.862047e+11  1.935994e+11  \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN  \n",
       "                      GDP                  NaN           NaN           NaN  \n",
       "West Bank and Gaza    Population  4.169506e+06  4.294682e+06  4.422143e+06  \n",
       "                      GDP         1.247600e+10  1.271560e+10  1.267740e+10  \n",
       "World                 Population  7.176092e+09  7.260780e+09  7.346633e+09  \n",
       "                      GDP         7.643132e+13  7.810634e+13  7.343364e+13  \n",
       "Yemen, Rep.           Population  2.553322e+07           NaN           NaN  \n",
       "                      GDP         3.595450e+10           NaN           NaN  \n",
       "Zambia                Population  1.524609e+07  1.572134e+07  1.621177e+07  \n",
       "                      GDP         2.804552e+10  2.713464e+10  2.120156e+10  \n",
       "Zimbabwe              Population  1.489809e+07  1.524586e+07  1.560275e+07  \n",
       "                      GDP         1.349023e+10  1.419691e+10  1.389294e+10  \n",
       "\n",
       "[504 rows x 56 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack(\"year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>Afghanistan</th>\n",
       "      <th>Albania</th>\n",
       "      <th>Algeria</th>\n",
       "      <th>Andorra</th>\n",
       "      <th>Angola</th>\n",
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       "      <th>Arab World</th>\n",
       "      <th>Argentina</th>\n",
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       "      <th>Uzbekistan</th>\n",
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       "      <th>Virgin Islands (U.S.)</th>\n",
       "      <th>West Bank and Gaza</th>\n",
       "      <th>World</th>\n",
       "      <th>Yemen, Rep.</th>\n",
       "      <th>Zambia</th>\n",
       "      <th>Zimbabwe</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1960</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.994793e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.112489e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.146845e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.035056e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.049586e+06</td>\n",
       "      <td>3.752390e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.377778e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.723638e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.607600e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24200000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.364643e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.987397e+08</td>\n",
       "      <td>1.052990e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1961</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.164945e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.140486e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.461684e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.076121e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.142848e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.488889e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.434767e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.923367e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25700000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.420440e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.823597e+08</td>\n",
       "      <td>1.096647e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1962</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.343772e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.169015e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.128768e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.790590e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.129064e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.240664e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.466667e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.001461e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.445060e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.873398e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36900000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.524573e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.792797e+08</td>\n",
       "      <td>1.117602e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1963</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.531555e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.198513e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.162184e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.130346e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38700.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.193947e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.342894e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>7.511112e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.703004e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.827212e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.066338e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41400000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.638187e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.043397e+08</td>\n",
       "      <td>1.159512e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1964</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.728645e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.229597e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.195393e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.476255e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.259355e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.449266e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>8.000000e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.909340e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.560525e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.113581e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53800000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.799675e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.226397e+08</td>\n",
       "      <td>1.217138e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1965</th>\n",
       "      <th>Population</th>\n",
       "      <td>9.935358e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.262695e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.228339e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.824694e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.326054e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.559687e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.006667e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.136284e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.834471e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.602945e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66500000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.959900e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.061200e+09</td>\n",
       "      <td>1.311436e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1966</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.014884e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.298027e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.260875e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.017514e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.395866e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.674088e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.400000e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.039859e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.863047e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.009657e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84100000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.125397e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.239000e+09</td>\n",
       "      <td>1.281750e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1967</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.036860e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.335420e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.293220e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.052805e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.465297e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.792864e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.673333e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.370870e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.425667e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.047278e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115400000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.262923e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.340639e+09</td>\n",
       "      <td>1.397002e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1968</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.059979e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.374438e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.155571e+08</td>\n",
       "      <td>2.326127e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.088200e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54600.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.535512e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.916928e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.373333e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.852147e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.552596e+10</td>\n",
       "      <td>2.643686e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.147091e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173800000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.440549e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.573739e+09</td>\n",
       "      <td>1.479600e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1969</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.084951e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.414444e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.188239e+08</td>\n",
       "      <td>2.360599e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.123549e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58600.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.609910e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.047479e+06</td>\n",
       "      <td>5.036321e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.408889e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.257253e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.817577e+10</td>\n",
       "      <td>3.125628e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.192757e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>211300000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.686747e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.926399e+09</td>\n",
       "      <td>1.747999e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1970</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.112110e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.455003e+07</td>\n",
       "      <td>2.427900e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.221282e+08</td>\n",
       "      <td>2.397306e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.158776e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.684997e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.185378e+06</td>\n",
       "      <td>5.206311e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.748887e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.863488e+09</td>\n",
       "      <td>7.861762e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.109149e+10</td>\n",
       "      <td>3.158421e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.299312e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>219000000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.950656e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.788779e+09</td>\n",
       "      <td>1.884206e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1971</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.141282e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.496011e+07</td>\n",
       "      <td>2.556000e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.254391e+08</td>\n",
       "      <td>2.436644e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.193780e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.762290e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.331002e+06</td>\n",
       "      <td>5.385342e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.831109e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.077222e+09</td>\n",
       "      <td>8.940659e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.610721e+10</td>\n",
       "      <td>3.329320e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.447156e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>257000000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.259057e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.653259e+09</td>\n",
       "      <td>2.178716e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1972</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.171690e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.537710e+07</td>\n",
       "      <td>2.689200e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.288012e+08</td>\n",
       "      <td>2.478295e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.228643e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.839016e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.484141e+06</td>\n",
       "      <td>5.573312e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.595555e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.761786e+09</td>\n",
       "      <td>1.134144e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.296931e+10</td>\n",
       "      <td>3.473300e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.592287e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>307100000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.757853e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.872417e+09</td>\n",
       "      <td>2.677729e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1973</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.202251e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.580443e+07</td>\n",
       "      <td>2.823100e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.322990e+08</td>\n",
       "      <td>2.521339e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.263697e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.914800e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.644329e+06</td>\n",
       "      <td>5.768382e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.733333e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.715106e+09</td>\n",
       "      <td>1.508416e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.459015e+10</td>\n",
       "      <td>5.254400e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.944593e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>351600000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.578523e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.434255e+09</td>\n",
       "      <td>3.309354e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1974</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.231555e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.624711e+07</td>\n",
       "      <td>2.951400e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.360445e+08</td>\n",
       "      <td>2.564450e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.299402e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.991194e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.810810e+06</td>\n",
       "      <td>5.967861e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.155555e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.320971e+10</td>\n",
       "      <td>1.865572e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.046016e+11</td>\n",
       "      <td>7.243678e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.908710e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>395400000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.279355e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.910981e+09</td>\n",
       "      <td>3.982161e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2001</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.053116e+07</td>\n",
       "      <td>3.060173e+06</td>\n",
       "      <td>3.159032e+07</td>\n",
       "      <td>6.777000e+04</td>\n",
       "      <td>1.556279e+07</td>\n",
       "      <td>7.897200e+04</td>\n",
       "      <td>2.872918e+08</td>\n",
       "      <td>3.747154e+07</td>\n",
       "      <td>3.060036e+06</td>\n",
       "      <td>9.289400e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>2.496445e+07</td>\n",
       "      <td>1.892880e+05</td>\n",
       "      <td>2.494022e+07</td>\n",
       "      <td>7.862050e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.997784e+06</td>\n",
       "      <td>6.195590e+09</td>\n",
       "      <td>1.830629e+07</td>\n",
       "      <td>1.086124e+07</td>\n",
       "      <td>1.260399e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.461666e+09</td>\n",
       "      <td>4.060759e+09</td>\n",
       "      <td>5.474471e+10</td>\n",
       "      <td>1.484005e+09</td>\n",
       "      <td>8.936064e+09</td>\n",
       "      <td>7.737652e+08</td>\n",
       "      <td>7.221506e+11</td>\n",
       "      <td>2.686968e+11</td>\n",
       "      <td>2.118468e+09</td>\n",
       "      <td>1.920263e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.140135e+10</td>\n",
       "      <td>2.579269e+08</td>\n",
       "      <td>1.229097e+11</td>\n",
       "      <td>3.529135e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.003700e+09</td>\n",
       "      <td>3.313421e+13</td>\n",
       "      <td>9.854042e+09</td>\n",
       "      <td>4.094481e+09</td>\n",
       "      <td>6.777385e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2002</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.148708e+07</td>\n",
       "      <td>3.051010e+06</td>\n",
       "      <td>3.199039e+07</td>\n",
       "      <td>7.104600e+04</td>\n",
       "      <td>1.610970e+07</td>\n",
       "      <td>8.003000e+04</td>\n",
       "      <td>2.934026e+08</td>\n",
       "      <td>3.788944e+07</td>\n",
       "      <td>3.047249e+06</td>\n",
       "      <td>9.499500e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>2.527185e+07</td>\n",
       "      <td>1.939570e+05</td>\n",
       "      <td>2.539914e+07</td>\n",
       "      <td>7.953770e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.075373e+06</td>\n",
       "      <td>6.274734e+09</td>\n",
       "      <td>1.883210e+07</td>\n",
       "      <td>1.113998e+07</td>\n",
       "      <td>1.269143e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>4.128818e+09</td>\n",
       "      <td>4.435079e+09</td>\n",
       "      <td>5.676029e+10</td>\n",
       "      <td>1.717564e+09</td>\n",
       "      <td>1.249735e+10</td>\n",
       "      <td>8.025293e+08</td>\n",
       "      <td>7.279939e+11</td>\n",
       "      <td>9.772451e+10</td>\n",
       "      <td>2.376335e+09</td>\n",
       "      <td>1.941095e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>9.687951e+09</td>\n",
       "      <td>2.626038e+08</td>\n",
       "      <td>9.288959e+10</td>\n",
       "      <td>3.794790e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.555800e+09</td>\n",
       "      <td>3.441805e+13</td>\n",
       "      <td>1.069328e+10</td>\n",
       "      <td>4.193846e+09</td>\n",
       "      <td>6.342116e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2003</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.250737e+07</td>\n",
       "      <td>3.039616e+06</td>\n",
       "      <td>3.239489e+07</td>\n",
       "      <td>7.478300e+04</td>\n",
       "      <td>1.669140e+07</td>\n",
       "      <td>8.090400e+04</td>\n",
       "      <td>2.997320e+08</td>\n",
       "      <td>3.830948e+07</td>\n",
       "      <td>3.036420e+06</td>\n",
       "      <td>9.701500e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>2.556765e+07</td>\n",
       "      <td>1.989630e+05</td>\n",
       "      <td>2.585755e+07</td>\n",
       "      <td>8.046740e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.154969e+06</td>\n",
       "      <td>6.353976e+09</td>\n",
       "      <td>1.937401e+07</td>\n",
       "      <td>1.142601e+07</td>\n",
       "      <td>1.277416e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>4.583649e+09</td>\n",
       "      <td>5.746946e+09</td>\n",
       "      <td>6.786383e+10</td>\n",
       "      <td>2.373836e+09</td>\n",
       "      <td>1.418895e+10</td>\n",
       "      <td>8.399964e+08</td>\n",
       "      <td>8.218702e+11</td>\n",
       "      <td>1.275863e+11</td>\n",
       "      <td>2.807061e+09</td>\n",
       "      <td>2.021302e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.012811e+10</td>\n",
       "      <td>3.144631e+08</td>\n",
       "      <td>8.362219e+10</td>\n",
       "      <td>4.271707e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.968000e+09</td>\n",
       "      <td>3.865630e+13</td>\n",
       "      <td>1.177777e+10</td>\n",
       "      <td>4.901840e+09</td>\n",
       "      <td>5.727592e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2004</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.349985e+07</td>\n",
       "      <td>3.026939e+06</td>\n",
       "      <td>3.281722e+07</td>\n",
       "      <td>7.833700e+04</td>\n",
       "      <td>1.729550e+07</td>\n",
       "      <td>8.171800e+04</td>\n",
       "      <td>3.063874e+08</td>\n",
       "      <td>3.872878e+07</td>\n",
       "      <td>3.025982e+06</td>\n",
       "      <td>9.874200e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>2.586435e+07</td>\n",
       "      <td>2.041440e+05</td>\n",
       "      <td>2.631448e+07</td>\n",
       "      <td>8.143640e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.236626e+06</td>\n",
       "      <td>6.433749e+09</td>\n",
       "      <td>1.993162e+07</td>\n",
       "      <td>1.172564e+07</td>\n",
       "      <td>1.286783e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.285462e+09</td>\n",
       "      <td>7.314865e+09</td>\n",
       "      <td>8.532500e+10</td>\n",
       "      <td>2.916913e+09</td>\n",
       "      <td>1.964085e+10</td>\n",
       "      <td>8.983561e+08</td>\n",
       "      <td>9.639180e+11</td>\n",
       "      <td>1.818731e+11</td>\n",
       "      <td>3.576615e+09</td>\n",
       "      <td>2.228279e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.203002e+10</td>\n",
       "      <td>3.649969e+08</td>\n",
       "      <td>1.124514e+11</td>\n",
       "      <td>4.942411e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.329200e+09</td>\n",
       "      <td>4.355213e+13</td>\n",
       "      <td>1.387350e+10</td>\n",
       "      <td>6.221078e+09</td>\n",
       "      <td>5.805598e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2005</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.439995e+07</td>\n",
       "      <td>3.011487e+06</td>\n",
       "      <td>3.326789e+07</td>\n",
       "      <td>8.122300e+04</td>\n",
       "      <td>1.791294e+07</td>\n",
       "      <td>8.256500e+04</td>\n",
       "      <td>3.134309e+08</td>\n",
       "      <td>3.914549e+07</td>\n",
       "      <td>3.014917e+06</td>\n",
       "      <td>1.000310e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.616700e+07</td>\n",
       "      <td>2.093750e+05</td>\n",
       "      <td>2.676912e+07</td>\n",
       "      <td>8.239210e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.320396e+06</td>\n",
       "      <td>6.513960e+09</td>\n",
       "      <td>2.050438e+07</td>\n",
       "      <td>1.204359e+07</td>\n",
       "      <td>1.298442e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.275076e+09</td>\n",
       "      <td>8.158549e+09</td>\n",
       "      <td>1.031982e+11</td>\n",
       "      <td>3.248135e+09</td>\n",
       "      <td>2.823371e+10</td>\n",
       "      <td>9.973741e+08</td>\n",
       "      <td>1.184735e+12</td>\n",
       "      <td>2.208138e+11</td>\n",
       "      <td>4.900470e+09</td>\n",
       "      <td>2.331006e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.430751e+10</td>\n",
       "      <td>3.949626e+08</td>\n",
       "      <td>1.455135e+11</td>\n",
       "      <td>5.763326e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.831800e+09</td>\n",
       "      <td>4.714259e+13</td>\n",
       "      <td>1.675377e+10</td>\n",
       "      <td>8.331870e+09</td>\n",
       "      <td>5.755215e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2006</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.518362e+07</td>\n",
       "      <td>2.992547e+06</td>\n",
       "      <td>3.374933e+07</td>\n",
       "      <td>8.337300e+04</td>\n",
       "      <td>1.854147e+07</td>\n",
       "      <td>8.346700e+04</td>\n",
       "      <td>3.209067e+08</td>\n",
       "      <td>3.955875e+07</td>\n",
       "      <td>3.002161e+06</td>\n",
       "      <td>1.008300e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.648825e+07</td>\n",
       "      <td>2.146350e+05</td>\n",
       "      <td>2.722123e+07</td>\n",
       "      <td>8.331120e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.406334e+06</td>\n",
       "      <td>6.594722e+09</td>\n",
       "      <td>2.109397e+07</td>\n",
       "      <td>1.238151e+07</td>\n",
       "      <td>1.312794e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>7.057598e+09</td>\n",
       "      <td>8.992642e+09</td>\n",
       "      <td>1.170273e+11</td>\n",
       "      <td>3.536452e+09</td>\n",
       "      <td>4.178948e+10</td>\n",
       "      <td>1.135144e+09</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>2.626665e+11</td>\n",
       "      <td>6.384452e+09</td>\n",
       "      <td>2.421475e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.703090e+10</td>\n",
       "      <td>4.393768e+08</td>\n",
       "      <td>1.834775e+11</td>\n",
       "      <td>6.637166e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.910100e+09</td>\n",
       "      <td>5.107451e+13</td>\n",
       "      <td>1.908173e+10</td>\n",
       "      <td>1.275686e+10</td>\n",
       "      <td>5.443896e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2007</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.587754e+07</td>\n",
       "      <td>2.970017e+06</td>\n",
       "      <td>3.426197e+07</td>\n",
       "      <td>8.487800e+04</td>\n",
       "      <td>1.918391e+07</td>\n",
       "      <td>8.439700e+04</td>\n",
       "      <td>3.287666e+08</td>\n",
       "      <td>3.996990e+07</td>\n",
       "      <td>2.988117e+06</td>\n",
       "      <td>1.012180e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.686800e+07</td>\n",
       "      <td>2.199560e+05</td>\n",
       "      <td>2.767066e+07</td>\n",
       "      <td>8.421850e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.494496e+06</td>\n",
       "      <td>6.675833e+09</td>\n",
       "      <td>2.170110e+07</td>\n",
       "      <td>1.273868e+07</td>\n",
       "      <td>1.329780e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>9.843842e+09</td>\n",
       "      <td>1.070101e+10</td>\n",
       "      <td>1.349771e+11</td>\n",
       "      <td>4.010785e+09</td>\n",
       "      <td>6.044892e+10</td>\n",
       "      <td>1.289254e+09</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>3.293175e+11</td>\n",
       "      <td>9.206302e+09</td>\n",
       "      <td>2.623726e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>2.231139e+10</td>\n",
       "      <td>5.264283e+08</td>\n",
       "      <td>2.303642e+11</td>\n",
       "      <td>7.741443e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.505800e+09</td>\n",
       "      <td>5.758343e+13</td>\n",
       "      <td>2.563367e+10</td>\n",
       "      <td>1.405696e+10</td>\n",
       "      <td>5.291950e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2008</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.652874e+07</td>\n",
       "      <td>2.947314e+06</td>\n",
       "      <td>3.481106e+07</td>\n",
       "      <td>8.561600e+04</td>\n",
       "      <td>1.984225e+07</td>\n",
       "      <td>8.535000e+04</td>\n",
       "      <td>3.368865e+08</td>\n",
       "      <td>4.038186e+07</td>\n",
       "      <td>2.975029e+06</td>\n",
       "      <td>1.013420e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.730280e+07</td>\n",
       "      <td>2.253350e+05</td>\n",
       "      <td>2.811672e+07</td>\n",
       "      <td>8.511870e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.596688e+06</td>\n",
       "      <td>6.758303e+09</td>\n",
       "      <td>2.232270e+07</td>\n",
       "      <td>1.311458e+07</td>\n",
       "      <td>1.349546e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.019053e+10</td>\n",
       "      <td>1.288135e+10</td>\n",
       "      <td>1.710007e+11</td>\n",
       "      <td>4.001349e+09</td>\n",
       "      <td>8.417803e+10</td>\n",
       "      <td>1.347350e+09</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>4.037820e+11</td>\n",
       "      <td>1.166204e+10</td>\n",
       "      <td>2.791961e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>2.793403e+10</td>\n",
       "      <td>6.079586e+08</td>\n",
       "      <td>3.156002e+11</td>\n",
       "      <td>9.913030e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.673500e+09</td>\n",
       "      <td>6.312856e+13</td>\n",
       "      <td>3.039720e+10</td>\n",
       "      <td>1.791086e+10</td>\n",
       "      <td>4.415703e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2009</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.720729e+07</td>\n",
       "      <td>2.927519e+06</td>\n",
       "      <td>3.540179e+07</td>\n",
       "      <td>8.547400e+04</td>\n",
       "      <td>2.052010e+07</td>\n",
       "      <td>8.630000e+04</td>\n",
       "      <td>3.450542e+08</td>\n",
       "      <td>4.079864e+07</td>\n",
       "      <td>2.966108e+06</td>\n",
       "      <td>1.014160e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.776740e+07</td>\n",
       "      <td>2.307820e+05</td>\n",
       "      <td>2.855861e+07</td>\n",
       "      <td>8.602500e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.702218e+06</td>\n",
       "      <td>6.840956e+09</td>\n",
       "      <td>2.295423e+07</td>\n",
       "      <td>1.350785e+07</td>\n",
       "      <td>1.372100e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.248694e+10</td>\n",
       "      <td>1.204421e+10</td>\n",
       "      <td>1.372110e+11</td>\n",
       "      <td>3.649863e+09</td>\n",
       "      <td>7.549238e+10</td>\n",
       "      <td>1.206410e+09</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>3.766279e+11</td>\n",
       "      <td>8.647937e+09</td>\n",
       "      <td>2.498933e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>3.281683e+10</td>\n",
       "      <td>6.100666e+08</td>\n",
       "      <td>3.294190e+11</td>\n",
       "      <td>1.060146e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.268200e+09</td>\n",
       "      <td>5.983553e+13</td>\n",
       "      <td>2.845950e+10</td>\n",
       "      <td>1.532834e+10</td>\n",
       "      <td>8.157077e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2010</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.796221e+07</td>\n",
       "      <td>2.913021e+06</td>\n",
       "      <td>3.603616e+07</td>\n",
       "      <td>8.441900e+04</td>\n",
       "      <td>2.121995e+07</td>\n",
       "      <td>8.723300e+04</td>\n",
       "      <td>3.531122e+08</td>\n",
       "      <td>4.122288e+07</td>\n",
       "      <td>2.963496e+06</td>\n",
       "      <td>1.015970e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.856240e+07</td>\n",
       "      <td>2.362990e+05</td>\n",
       "      <td>2.899574e+07</td>\n",
       "      <td>8.693250e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.811102e+06</td>\n",
       "      <td>6.923684e+09</td>\n",
       "      <td>2.359197e+07</td>\n",
       "      <td>1.391744e+07</td>\n",
       "      <td>1.397390e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.593680e+10</td>\n",
       "      <td>1.192695e+10</td>\n",
       "      <td>1.612073e+11</td>\n",
       "      <td>3.346317e+09</td>\n",
       "      <td>8.247091e+10</td>\n",
       "      <td>1.135539e+09</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>4.616402e+11</td>\n",
       "      <td>9.260285e+09</td>\n",
       "      <td>2.467704e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>3.933277e+10</td>\n",
       "      <td>7.008043e+08</td>\n",
       "      <td>3.938015e+11</td>\n",
       "      <td>1.159317e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.913100e+09</td>\n",
       "      <td>6.564782e+13</td>\n",
       "      <td>3.090675e+10</td>\n",
       "      <td>2.026555e+10</td>\n",
       "      <td>9.422161e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2011</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.880917e+07</td>\n",
       "      <td>2.904780e+06</td>\n",
       "      <td>3.671713e+07</td>\n",
       "      <td>8.232600e+04</td>\n",
       "      <td>2.194230e+07</td>\n",
       "      <td>8.815200e+04</td>\n",
       "      <td>3.610318e+08</td>\n",
       "      <td>4.165562e+07</td>\n",
       "      <td>2.967984e+06</td>\n",
       "      <td>1.019360e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.933940e+07</td>\n",
       "      <td>2.418760e+05</td>\n",
       "      <td>2.942763e+07</td>\n",
       "      <td>8.786030e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.927051e+06</td>\n",
       "      <td>7.006908e+09</td>\n",
       "      <td>2.423494e+07</td>\n",
       "      <td>1.434353e+07</td>\n",
       "      <td>1.425559e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.793024e+10</td>\n",
       "      <td>1.289087e+10</td>\n",
       "      <td>2.000131e+11</td>\n",
       "      <td>3.427236e+09</td>\n",
       "      <td>1.041159e+11</td>\n",
       "      <td>1.129918e+09</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>5.578902e+11</td>\n",
       "      <td>1.014211e+10</td>\n",
       "      <td>2.584464e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>4.532432e+10</td>\n",
       "      <td>7.921497e+08</td>\n",
       "      <td>3.164822e+11</td>\n",
       "      <td>1.355395e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.045985e+10</td>\n",
       "      <td>7.284314e+13</td>\n",
       "      <td>3.107886e+10</td>\n",
       "      <td>2.345952e+10</td>\n",
       "      <td>1.095623e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2012</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.972680e+07</td>\n",
       "      <td>2.900247e+06</td>\n",
       "      <td>3.743943e+07</td>\n",
       "      <td>7.931600e+04</td>\n",
       "      <td>2.268563e+07</td>\n",
       "      <td>8.906900e+04</td>\n",
       "      <td>3.688026e+08</td>\n",
       "      <td>4.209522e+07</td>\n",
       "      <td>2.978339e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.977450e+07</td>\n",
       "      <td>2.474980e+05</td>\n",
       "      <td>2.985424e+07</td>\n",
       "      <td>8.880920e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.046901e+06</td>\n",
       "      <td>7.089452e+09</td>\n",
       "      <td>2.488279e+07</td>\n",
       "      <td>1.478658e+07</td>\n",
       "      <td>1.456548e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.053654e+10</td>\n",
       "      <td>1.231978e+10</td>\n",
       "      <td>2.090474e+11</td>\n",
       "      <td>3.146178e+09</td>\n",
       "      <td>1.153984e+11</td>\n",
       "      <td>1.204713e+09</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>6.043785e+11</td>\n",
       "      <td>1.061932e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>5.118344e+10</td>\n",
       "      <td>7.817029e+08</td>\n",
       "      <td>3.812862e+11</td>\n",
       "      <td>1.558200e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.127940e+10</td>\n",
       "      <td>7.442836e+13</td>\n",
       "      <td>3.207477e+10</td>\n",
       "      <td>2.550306e+10</td>\n",
       "      <td>1.239272e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2013</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.068250e+07</td>\n",
       "      <td>2.896652e+06</td>\n",
       "      <td>3.818614e+07</td>\n",
       "      <td>7.590200e+04</td>\n",
       "      <td>2.344820e+07</td>\n",
       "      <td>8.998500e+04</td>\n",
       "      <td>3.765043e+08</td>\n",
       "      <td>4.253830e+07</td>\n",
       "      <td>2.992192e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.024320e+07</td>\n",
       "      <td>2.531650e+05</td>\n",
       "      <td>3.027604e+07</td>\n",
       "      <td>8.975950e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.169506e+06</td>\n",
       "      <td>7.176092e+09</td>\n",
       "      <td>2.553322e+07</td>\n",
       "      <td>1.524609e+07</td>\n",
       "      <td>1.489809e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.004633e+10</td>\n",
       "      <td>1.278103e+10</td>\n",
       "      <td>2.097035e+11</td>\n",
       "      <td>3.249101e+09</td>\n",
       "      <td>1.249121e+11</td>\n",
       "      <td>1.200588e+09</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>6.239320e+11</td>\n",
       "      <td>1.112147e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>5.679566e+10</td>\n",
       "      <td>8.017876e+08</td>\n",
       "      <td>3.713366e+11</td>\n",
       "      <td>1.712220e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.247600e+10</td>\n",
       "      <td>7.643132e+13</td>\n",
       "      <td>3.595450e+10</td>\n",
       "      <td>2.804552e+10</td>\n",
       "      <td>1.349023e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2014</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.162751e+07</td>\n",
       "      <td>2.893654e+06</td>\n",
       "      <td>3.893433e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.422752e+07</td>\n",
       "      <td>9.090000e+04</td>\n",
       "      <td>3.842226e+08</td>\n",
       "      <td>4.298003e+07</td>\n",
       "      <td>3.006154e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.075770e+07</td>\n",
       "      <td>2.588830e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.072890e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.294682e+06</td>\n",
       "      <td>7.260780e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.572134e+07</td>\n",
       "      <td>1.524586e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.005019e+10</td>\n",
       "      <td>1.327796e+10</td>\n",
       "      <td>2.135185e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.267751e+11</td>\n",
       "      <td>1.220976e+09</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>5.480549e+11</td>\n",
       "      <td>1.164444e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.313285e+10</td>\n",
       "      <td>8.149546e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.862047e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.271560e+10</td>\n",
       "      <td>7.810634e+13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.713464e+10</td>\n",
       "      <td>1.419691e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2015</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.252656e+07</td>\n",
       "      <td>2.889167e+06</td>\n",
       "      <td>3.966652e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.502197e+07</td>\n",
       "      <td>9.181800e+04</td>\n",
       "      <td>3.920223e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.017712e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.129950e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.170380e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.422143e+06</td>\n",
       "      <td>7.346633e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.621177e+07</td>\n",
       "      <td>1.560275e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.919944e+10</td>\n",
       "      <td>1.145560e+10</td>\n",
       "      <td>1.668386e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.026431e+11</td>\n",
       "      <td>1.297285e+09</td>\n",
       "      <td>2.530102e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.056140e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.673280e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.935994e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.267740e+10</td>\n",
       "      <td>7.343364e+13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.120156e+10</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>112 rows × 252 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "country           Afghanistan       Albania       Algeria       Andorra  \\\n",
       "year                                                                      \n",
       "1960 Population  8.994793e+06           NaN  1.112489e+07           NaN   \n",
       "     GDP         5.377778e+08           NaN  2.723638e+09           NaN   \n",
       "1961 Population  9.164945e+06           NaN  1.140486e+07           NaN   \n",
       "     GDP         5.488889e+08           NaN  2.434767e+09           NaN   \n",
       "1962 Population  9.343772e+06           NaN  1.169015e+07           NaN   \n",
       "     GDP         5.466667e+08           NaN  2.001461e+09           NaN   \n",
       "1963 Population  9.531555e+06           NaN  1.198513e+07           NaN   \n",
       "     GDP         7.511112e+08           NaN  2.703004e+09           NaN   \n",
       "1964 Population  9.728645e+06           NaN  1.229597e+07           NaN   \n",
       "     GDP         8.000000e+08           NaN  2.909340e+09           NaN   \n",
       "1965 Population  9.935358e+06           NaN  1.262695e+07           NaN   \n",
       "     GDP         1.006667e+09           NaN  3.136284e+09           NaN   \n",
       "1966 Population  1.014884e+07           NaN  1.298027e+07           NaN   \n",
       "     GDP         1.400000e+09           NaN  3.039859e+09           NaN   \n",
       "1967 Population  1.036860e+07           NaN  1.335420e+07           NaN   \n",
       "     GDP         1.673333e+09           NaN  3.370870e+09           NaN   \n",
       "1968 Population  1.059979e+07           NaN  1.374438e+07           NaN   \n",
       "     GDP         1.373333e+09           NaN  3.852147e+09           NaN   \n",
       "1969 Population  1.084951e+07           NaN  1.414444e+07           NaN   \n",
       "     GDP         1.408889e+09           NaN  4.257253e+09           NaN   \n",
       "1970 Population  1.112110e+07           NaN  1.455003e+07  2.427900e+04   \n",
       "     GDP         1.748887e+09           NaN  4.863488e+09  7.861762e+07   \n",
       "1971 Population  1.141282e+07           NaN  1.496011e+07  2.556000e+04   \n",
       "     GDP         1.831109e+09           NaN  5.077222e+09  8.940659e+07   \n",
       "1972 Population  1.171690e+07           NaN  1.537710e+07  2.689200e+04   \n",
       "     GDP         1.595555e+09           NaN  6.761786e+09  1.134144e+08   \n",
       "1973 Population  1.202251e+07           NaN  1.580443e+07  2.823100e+04   \n",
       "     GDP         1.733333e+09           NaN  8.715106e+09  1.508416e+08   \n",
       "1974 Population  1.231555e+07           NaN  1.624711e+07  2.951400e+04   \n",
       "     GDP         2.155555e+09           NaN  1.320971e+10  1.865572e+08   \n",
       "...                       ...           ...           ...           ...   \n",
       "2001 Population  2.053116e+07  3.060173e+06  3.159032e+07  6.777000e+04   \n",
       "     GDP         2.461666e+09  4.060759e+09  5.474471e+10  1.484005e+09   \n",
       "2002 Population  2.148708e+07  3.051010e+06  3.199039e+07  7.104600e+04   \n",
       "     GDP         4.128818e+09  4.435079e+09  5.676029e+10  1.717564e+09   \n",
       "2003 Population  2.250737e+07  3.039616e+06  3.239489e+07  7.478300e+04   \n",
       "     GDP         4.583649e+09  5.746946e+09  6.786383e+10  2.373836e+09   \n",
       "2004 Population  2.349985e+07  3.026939e+06  3.281722e+07  7.833700e+04   \n",
       "     GDP         5.285462e+09  7.314865e+09  8.532500e+10  2.916913e+09   \n",
       "2005 Population  2.439995e+07  3.011487e+06  3.326789e+07  8.122300e+04   \n",
       "     GDP         6.275076e+09  8.158549e+09  1.031982e+11  3.248135e+09   \n",
       "2006 Population  2.518362e+07  2.992547e+06  3.374933e+07  8.337300e+04   \n",
       "     GDP         7.057598e+09  8.992642e+09  1.170273e+11  3.536452e+09   \n",
       "2007 Population  2.587754e+07  2.970017e+06  3.426197e+07  8.487800e+04   \n",
       "     GDP         9.843842e+09  1.070101e+10  1.349771e+11  4.010785e+09   \n",
       "2008 Population  2.652874e+07  2.947314e+06  3.481106e+07  8.561600e+04   \n",
       "     GDP         1.019053e+10  1.288135e+10  1.710007e+11  4.001349e+09   \n",
       "2009 Population  2.720729e+07  2.927519e+06  3.540179e+07  8.547400e+04   \n",
       "     GDP         1.248694e+10  1.204421e+10  1.372110e+11  3.649863e+09   \n",
       "2010 Population  2.796221e+07  2.913021e+06  3.603616e+07  8.441900e+04   \n",
       "     GDP         1.593680e+10  1.192695e+10  1.612073e+11  3.346317e+09   \n",
       "2011 Population  2.880917e+07  2.904780e+06  3.671713e+07  8.232600e+04   \n",
       "     GDP         1.793024e+10  1.289087e+10  2.000131e+11  3.427236e+09   \n",
       "2012 Population  2.972680e+07  2.900247e+06  3.743943e+07  7.931600e+04   \n",
       "     GDP         2.053654e+10  1.231978e+10  2.090474e+11  3.146178e+09   \n",
       "2013 Population  3.068250e+07  2.896652e+06  3.818614e+07  7.590200e+04   \n",
       "     GDP         2.004633e+10  1.278103e+10  2.097035e+11  3.249101e+09   \n",
       "2014 Population  3.162751e+07  2.893654e+06  3.893433e+07           NaN   \n",
       "     GDP         2.005019e+10  1.327796e+10  2.135185e+11           NaN   \n",
       "2015 Population  3.252656e+07  2.889167e+06  3.966652e+07           NaN   \n",
       "     GDP         1.919944e+10  1.145560e+10  1.668386e+11           NaN   \n",
       "\n",
       "country                Angola  Antigua and Barbuda    Arab World  \\\n",
       "year                                                               \n",
       "1960 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1961 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1962 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1963 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1964 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1965 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1966 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1967 Population           NaN                  NaN           NaN   \n",
       "     GDP                  NaN                  NaN           NaN   \n",
       "1968 Population           NaN                  NaN  1.155571e+08   \n",
       "     GDP                  NaN                  NaN  2.552596e+10   \n",
       "1969 Population           NaN                  NaN  1.188239e+08   \n",
       "     GDP                  NaN                  NaN  2.817577e+10   \n",
       "1970 Population           NaN                  NaN  1.221282e+08   \n",
       "     GDP                  NaN                  NaN  3.109149e+10   \n",
       "1971 Population           NaN                  NaN  1.254391e+08   \n",
       "     GDP                  NaN                  NaN  3.610721e+10   \n",
       "1972 Population           NaN                  NaN  1.288012e+08   \n",
       "     GDP                  NaN                  NaN  4.296931e+10   \n",
       "1973 Population           NaN                  NaN  1.322990e+08   \n",
       "     GDP                  NaN                  NaN  5.459015e+10   \n",
       "1974 Population           NaN                  NaN  1.360445e+08   \n",
       "     GDP                  NaN                  NaN  1.046016e+11   \n",
       "...                       ...                  ...           ...   \n",
       "2001 Population  1.556279e+07         7.897200e+04  2.872918e+08   \n",
       "     GDP         8.936064e+09         7.737652e+08  7.221506e+11   \n",
       "2002 Population  1.610970e+07         8.003000e+04  2.934026e+08   \n",
       "     GDP         1.249735e+10         8.025293e+08  7.279939e+11   \n",
       "2003 Population  1.669140e+07         8.090400e+04  2.997320e+08   \n",
       "     GDP         1.418895e+10         8.399964e+08  8.218702e+11   \n",
       "2004 Population  1.729550e+07         8.171800e+04  3.063874e+08   \n",
       "     GDP         1.964085e+10         8.983561e+08  9.639180e+11   \n",
       "2005 Population  1.791294e+07         8.256500e+04  3.134309e+08   \n",
       "     GDP         2.823371e+10         9.973741e+08  1.184735e+12   \n",
       "2006 Population  1.854147e+07         8.346700e+04  3.209067e+08   \n",
       "     GDP         4.178948e+10         1.135144e+09  1.404190e+12   \n",
       "2007 Population  1.918391e+07         8.439700e+04  3.287666e+08   \n",
       "     GDP         6.044892e+10         1.289254e+09  1.641666e+12   \n",
       "2008 Population  1.984225e+07         8.535000e+04  3.368865e+08   \n",
       "     GDP         8.417803e+10         1.347350e+09  2.081343e+12   \n",
       "2009 Population  2.052010e+07         8.630000e+04  3.450542e+08   \n",
       "     GDP         7.549238e+10         1.206410e+09  1.798878e+12   \n",
       "2010 Population  2.121995e+07         8.723300e+04  3.531122e+08   \n",
       "     GDP         8.247091e+10         1.135539e+09  2.103825e+12   \n",
       "2011 Population  2.194230e+07         8.815200e+04  3.610318e+08   \n",
       "     GDP         1.041159e+11         1.129918e+09  2.497945e+12   \n",
       "2012 Population  2.268563e+07         8.906900e+04  3.688026e+08   \n",
       "     GDP         1.153984e+11         1.204713e+09  2.773270e+12   \n",
       "2013 Population  2.344820e+07         8.998500e+04  3.765043e+08   \n",
       "     GDP         1.249121e+11         1.200588e+09  2.846994e+12   \n",
       "2014 Population  2.422752e+07         9.090000e+04  3.842226e+08   \n",
       "     GDP         1.267751e+11         1.220976e+09  2.873600e+12   \n",
       "2015 Population  2.502197e+07         9.181800e+04  3.920223e+08   \n",
       "     GDP         1.026431e+11         1.297285e+09  2.530102e+12   \n",
       "\n",
       "country             Argentina       Armenia         Aruba  ...    Uzbekistan  \\\n",
       "year                                                       ...                 \n",
       "1960 Population           NaN           NaN           NaN  ...           NaN   \n",
       "     GDP                  NaN           NaN           NaN  ...           NaN   \n",
       "1961 Population           NaN           NaN           NaN  ...           NaN   \n",
       "     GDP                  NaN           NaN           NaN  ...           NaN   \n",
       "1962 Population  2.128768e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.445060e+10           NaN           NaN  ...           NaN   \n",
       "1963 Population  2.162184e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         1.827212e+10           NaN           NaN  ...           NaN   \n",
       "1964 Population  2.195393e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.560525e+10           NaN           NaN  ...           NaN   \n",
       "1965 Population  2.228339e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.834471e+10           NaN           NaN  ...           NaN   \n",
       "1966 Population  2.260875e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.863047e+10           NaN           NaN  ...           NaN   \n",
       "1967 Population  2.293220e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.425667e+10           NaN           NaN  ...           NaN   \n",
       "1968 Population  2.326127e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         2.643686e+10           NaN           NaN  ...           NaN   \n",
       "1969 Population  2.360599e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         3.125628e+10           NaN           NaN  ...           NaN   \n",
       "1970 Population  2.397306e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         3.158421e+10           NaN           NaN  ...           NaN   \n",
       "1971 Population  2.436644e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         3.329320e+10           NaN           NaN  ...           NaN   \n",
       "1972 Population  2.478295e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         3.473300e+10           NaN           NaN  ...           NaN   \n",
       "1973 Population  2.521339e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         5.254400e+10           NaN           NaN  ...           NaN   \n",
       "1974 Population  2.564450e+07           NaN           NaN  ...           NaN   \n",
       "     GDP         7.243678e+10           NaN           NaN  ...           NaN   \n",
       "...                       ...           ...           ...  ...           ...   \n",
       "2001 Population  3.747154e+07  3.060036e+06  9.289400e+04  ...  2.496445e+07   \n",
       "     GDP         2.686968e+11  2.118468e+09  1.920263e+09  ...  1.140135e+10   \n",
       "2002 Population  3.788944e+07  3.047249e+06  9.499500e+04  ...  2.527185e+07   \n",
       "     GDP         9.772451e+10  2.376335e+09  1.941095e+09  ...  9.687951e+09   \n",
       "2003 Population  3.830948e+07  3.036420e+06  9.701500e+04  ...  2.556765e+07   \n",
       "     GDP         1.275863e+11  2.807061e+09  2.021302e+09  ...  1.012811e+10   \n",
       "2004 Population  3.872878e+07  3.025982e+06  9.874200e+04  ...  2.586435e+07   \n",
       "     GDP         1.818731e+11  3.576615e+09  2.228279e+09  ...  1.203002e+10   \n",
       "2005 Population  3.914549e+07  3.014917e+06  1.000310e+05  ...  2.616700e+07   \n",
       "     GDP         2.208138e+11  4.900470e+09  2.331006e+09  ...  1.430751e+10   \n",
       "2006 Population  3.955875e+07  3.002161e+06  1.008300e+05  ...  2.648825e+07   \n",
       "     GDP         2.626665e+11  6.384452e+09  2.421475e+09  ...  1.703090e+10   \n",
       "2007 Population  3.996990e+07  2.988117e+06  1.012180e+05  ...  2.686800e+07   \n",
       "     GDP         3.293175e+11  9.206302e+09  2.623726e+09  ...  2.231139e+10   \n",
       "2008 Population  4.038186e+07  2.975029e+06  1.013420e+05  ...  2.730280e+07   \n",
       "     GDP         4.037820e+11  1.166204e+10  2.791961e+09  ...  2.793403e+10   \n",
       "2009 Population  4.079864e+07  2.966108e+06  1.014160e+05  ...  2.776740e+07   \n",
       "     GDP         3.766279e+11  8.647937e+09  2.498933e+09  ...  3.281683e+10   \n",
       "2010 Population  4.122288e+07  2.963496e+06  1.015970e+05  ...  2.856240e+07   \n",
       "     GDP         4.616402e+11  9.260285e+09  2.467704e+09  ...  3.933277e+10   \n",
       "2011 Population  4.165562e+07  2.967984e+06  1.019360e+05  ...  2.933940e+07   \n",
       "     GDP         5.578902e+11  1.014211e+10  2.584464e+09  ...  4.532432e+10   \n",
       "2012 Population  4.209522e+07  2.978339e+06           NaN  ...  2.977450e+07   \n",
       "     GDP         6.043785e+11  1.061932e+10           NaN  ...  5.118344e+10   \n",
       "2013 Population  4.253830e+07  2.992192e+06           NaN  ...  3.024320e+07   \n",
       "     GDP         6.239320e+11  1.112147e+10           NaN  ...  5.679566e+10   \n",
       "2014 Population  4.298003e+07  3.006154e+06           NaN  ...  3.075770e+07   \n",
       "     GDP         5.480549e+11  1.164444e+10           NaN  ...  6.313285e+10   \n",
       "2015 Population           NaN  3.017712e+06           NaN  ...  3.129950e+07   \n",
       "     GDP                  NaN  1.056140e+10           NaN  ...  6.673280e+10   \n",
       "\n",
       "country               Vanuatu  Venezuela, RB       Vietnam  \\\n",
       "year                                                         \n",
       "1960 Population           NaN   8.146845e+06           NaN   \n",
       "     GDP                  NaN   8.607600e+09           NaN   \n",
       "1961 Population           NaN   8.461684e+06           NaN   \n",
       "     GDP                  NaN   8.923367e+09           NaN   \n",
       "1962 Population           NaN   8.790590e+06           NaN   \n",
       "     GDP                  NaN   9.873398e+09           NaN   \n",
       "1963 Population           NaN   9.130346e+06           NaN   \n",
       "     GDP                  NaN   1.066338e+10           NaN   \n",
       "1964 Population           NaN   9.476255e+06           NaN   \n",
       "     GDP                  NaN   9.113581e+09           NaN   \n",
       "1965 Population           NaN   9.824694e+06           NaN   \n",
       "     GDP                  NaN   9.602945e+09           NaN   \n",
       "1966 Population           NaN   1.017514e+07           NaN   \n",
       "     GDP                  NaN   1.009657e+10           NaN   \n",
       "1967 Population           NaN   1.052805e+07           NaN   \n",
       "     GDP                  NaN   1.047278e+10           NaN   \n",
       "1968 Population           NaN   1.088200e+07           NaN   \n",
       "     GDP                  NaN   1.147091e+10           NaN   \n",
       "1969 Population           NaN   1.123549e+07           NaN   \n",
       "     GDP                  NaN   1.192757e+10           NaN   \n",
       "1970 Population           NaN   1.158776e+07           NaN   \n",
       "     GDP                  NaN   1.299312e+10           NaN   \n",
       "1971 Population           NaN   1.193780e+07           NaN   \n",
       "     GDP                  NaN   1.447156e+10           NaN   \n",
       "1972 Population           NaN   1.228643e+07           NaN   \n",
       "     GDP                  NaN   1.592287e+10           NaN   \n",
       "1973 Population           NaN   1.263697e+07           NaN   \n",
       "     GDP                  NaN   1.944593e+10           NaN   \n",
       "1974 Population           NaN   1.299402e+07           NaN   \n",
       "     GDP                  NaN   2.908710e+10           NaN   \n",
       "...                       ...            ...           ...   \n",
       "2001 Population  1.892880e+05   2.494022e+07  7.862050e+07   \n",
       "     GDP         2.579269e+08   1.229097e+11  3.529135e+10   \n",
       "2002 Population  1.939570e+05   2.539914e+07  7.953770e+07   \n",
       "     GDP         2.626038e+08   9.288959e+10  3.794790e+10   \n",
       "2003 Population  1.989630e+05   2.585755e+07  8.046740e+07   \n",
       "     GDP         3.144631e+08   8.362219e+10  4.271707e+10   \n",
       "2004 Population  2.041440e+05   2.631448e+07  8.143640e+07   \n",
       "     GDP         3.649969e+08   1.124514e+11  4.942411e+10   \n",
       "2005 Population  2.093750e+05   2.676912e+07  8.239210e+07   \n",
       "     GDP         3.949626e+08   1.455135e+11  5.763326e+10   \n",
       "2006 Population  2.146350e+05   2.722123e+07  8.331120e+07   \n",
       "     GDP         4.393768e+08   1.834775e+11  6.637166e+10   \n",
       "2007 Population  2.199560e+05   2.767066e+07  8.421850e+07   \n",
       "     GDP         5.264283e+08   2.303642e+11  7.741443e+10   \n",
       "2008 Population  2.253350e+05   2.811672e+07  8.511870e+07   \n",
       "     GDP         6.079586e+08   3.156002e+11  9.913030e+10   \n",
       "2009 Population  2.307820e+05   2.855861e+07  8.602500e+07   \n",
       "     GDP         6.100666e+08   3.294190e+11  1.060146e+11   \n",
       "2010 Population  2.362990e+05   2.899574e+07  8.693250e+07   \n",
       "     GDP         7.008043e+08   3.938015e+11  1.159317e+11   \n",
       "2011 Population  2.418760e+05   2.942763e+07  8.786030e+07   \n",
       "     GDP         7.921497e+08   3.164822e+11  1.355395e+11   \n",
       "2012 Population  2.474980e+05   2.985424e+07  8.880920e+07   \n",
       "     GDP         7.817029e+08   3.812862e+11  1.558200e+11   \n",
       "2013 Population  2.531650e+05   3.027604e+07  8.975950e+07   \n",
       "     GDP         8.017876e+08   3.713366e+11  1.712220e+11   \n",
       "2014 Population  2.588830e+05            NaN  9.072890e+07   \n",
       "     GDP         8.149546e+08            NaN  1.862047e+11   \n",
       "2015 Population           NaN            NaN  9.170380e+07   \n",
       "     GDP                  NaN            NaN  1.935994e+11   \n",
       "\n",
       "country          Virgin Islands (U.S.)  West Bank and Gaza         World  \\\n",
       "year                                                                       \n",
       "1960 Population                32000.0                 NaN  3.035056e+09   \n",
       "     GDP                    24200000.0                 NaN  1.364643e+12   \n",
       "1961 Population                34100.0                 NaN  3.076121e+09   \n",
       "     GDP                    25700000.0                 NaN  1.420440e+12   \n",
       "1962 Population                36300.0                 NaN  3.129064e+09   \n",
       "     GDP                    36900000.0                 NaN  1.524573e+12   \n",
       "1963 Population                38700.0                 NaN  3.193947e+09   \n",
       "     GDP                    41400000.0                 NaN  1.638187e+12   \n",
       "1964 Population                41300.0                 NaN  3.259355e+09   \n",
       "     GDP                    53800000.0                 NaN  1.799675e+12   \n",
       "1965 Population                44000.0                 NaN  3.326054e+09   \n",
       "     GDP                    66500000.0                 NaN  1.959900e+12   \n",
       "1966 Population                47300.0                 NaN  3.395866e+09   \n",
       "     GDP                    84100000.0                 NaN  2.125397e+12   \n",
       "1967 Population                50800.0                 NaN  3.465297e+09   \n",
       "     GDP                   115400000.0                 NaN  2.262923e+12   \n",
       "1968 Population                54600.0                 NaN  3.535512e+09   \n",
       "     GDP                   173800000.0                 NaN  2.440549e+12   \n",
       "1969 Population                58600.0                 NaN  3.609910e+09   \n",
       "     GDP                   211300000.0                 NaN  2.686747e+12   \n",
       "1970 Population                63000.0                 NaN  3.684997e+09   \n",
       "     GDP                   219000000.0                 NaN  2.950656e+12   \n",
       "1971 Population                71000.0                 NaN  3.762290e+09   \n",
       "     GDP                   257000000.0                 NaN  3.259057e+12   \n",
       "1972 Population                76000.0                 NaN  3.839016e+09   \n",
       "     GDP                   307100000.0                 NaN  3.757853e+12   \n",
       "1973 Population                84000.0                 NaN  3.914800e+09   \n",
       "     GDP                   351600000.0                 NaN  4.578523e+12   \n",
       "1974 Population                90000.0                 NaN  3.991194e+09   \n",
       "     GDP                   395400000.0                 NaN  5.279355e+12   \n",
       "...                                ...                 ...           ...   \n",
       "2001 Population                    NaN        2.997784e+06  6.195590e+09   \n",
       "     GDP                           NaN        4.003700e+09  3.313421e+13   \n",
       "2002 Population                    NaN        3.075373e+06  6.274734e+09   \n",
       "     GDP                           NaN        3.555800e+09  3.441805e+13   \n",
       "2003 Population                    NaN        3.154969e+06  6.353976e+09   \n",
       "     GDP                           NaN        3.968000e+09  3.865630e+13   \n",
       "2004 Population                    NaN        3.236626e+06  6.433749e+09   \n",
       "     GDP                           NaN        4.329200e+09  4.355213e+13   \n",
       "2005 Population                    NaN        3.320396e+06  6.513960e+09   \n",
       "     GDP                           NaN        4.831800e+09  4.714259e+13   \n",
       "2006 Population                    NaN        3.406334e+06  6.594722e+09   \n",
       "     GDP                           NaN        4.910100e+09  5.107451e+13   \n",
       "2007 Population                    NaN        3.494496e+06  6.675833e+09   \n",
       "     GDP                           NaN        5.505800e+09  5.758343e+13   \n",
       "2008 Population                    NaN        3.596688e+06  6.758303e+09   \n",
       "     GDP                           NaN        6.673500e+09  6.312856e+13   \n",
       "2009 Population                    NaN        3.702218e+06  6.840956e+09   \n",
       "     GDP                           NaN        7.268200e+09  5.983553e+13   \n",
       "2010 Population                    NaN        3.811102e+06  6.923684e+09   \n",
       "     GDP                           NaN        8.913100e+09  6.564782e+13   \n",
       "2011 Population                    NaN        3.927051e+06  7.006908e+09   \n",
       "     GDP                           NaN        1.045985e+10  7.284314e+13   \n",
       "2012 Population                    NaN        4.046901e+06  7.089452e+09   \n",
       "     GDP                           NaN        1.127940e+10  7.442836e+13   \n",
       "2013 Population                    NaN        4.169506e+06  7.176092e+09   \n",
       "     GDP                           NaN        1.247600e+10  7.643132e+13   \n",
       "2014 Population                    NaN        4.294682e+06  7.260780e+09   \n",
       "     GDP                           NaN        1.271560e+10  7.810634e+13   \n",
       "2015 Population                    NaN        4.422143e+06  7.346633e+09   \n",
       "     GDP                           NaN        1.267740e+10  7.343364e+13   \n",
       "\n",
       "country           Yemen, Rep.        Zambia      Zimbabwe  \n",
       "year                                                       \n",
       "1960 Population           NaN  3.049586e+06  3.752390e+06  \n",
       "     GDP                  NaN  6.987397e+08  1.052990e+09  \n",
       "1961 Population           NaN  3.142848e+06  3.876638e+06  \n",
       "     GDP                  NaN  6.823597e+08  1.096647e+09  \n",
       "1962 Population           NaN  3.240664e+06  4.006262e+06  \n",
       "     GDP                  NaN  6.792797e+08  1.117602e+09  \n",
       "1963 Population           NaN  3.342894e+06  4.140804e+06  \n",
       "     GDP                  NaN  7.043397e+08  1.159512e+09  \n",
       "1964 Population           NaN  3.449266e+06  4.279561e+06  \n",
       "     GDP                  NaN  8.226397e+08  1.217138e+09  \n",
       "1965 Population           NaN  3.559687e+06  4.422132e+06  \n",
       "     GDP                  NaN  1.061200e+09  1.311436e+09  \n",
       "1966 Population           NaN  3.674088e+06  4.568320e+06  \n",
       "     GDP                  NaN  1.239000e+09  1.281750e+09  \n",
       "1967 Population           NaN  3.792864e+06  4.718612e+06  \n",
       "     GDP                  NaN  1.340639e+09  1.397002e+09  \n",
       "1968 Population           NaN  3.916928e+06  4.874113e+06  \n",
       "     GDP                  NaN  1.573739e+09  1.479600e+09  \n",
       "1969 Population           NaN  4.047479e+06  5.036321e+06  \n",
       "     GDP                  NaN  1.926399e+09  1.747999e+09  \n",
       "1970 Population           NaN  4.185378e+06  5.206311e+06  \n",
       "     GDP                  NaN  1.788779e+09  1.884206e+09  \n",
       "1971 Population           NaN  4.331002e+06  5.385342e+06  \n",
       "     GDP                  NaN  1.653259e+09  2.178716e+09  \n",
       "1972 Population           NaN  4.484141e+06  5.573312e+06  \n",
       "     GDP                  NaN  1.872417e+09  2.677729e+09  \n",
       "1973 Population           NaN  4.644329e+06  5.768382e+06  \n",
       "     GDP                  NaN  2.434255e+09  3.309354e+09  \n",
       "1974 Population           NaN  4.810810e+06  5.967861e+06  \n",
       "     GDP                  NaN  2.910981e+09  3.982161e+09  \n",
       "...                       ...           ...           ...  \n",
       "2001 Population  1.830629e+07  1.086124e+07  1.260399e+07  \n",
       "     GDP         9.854042e+09  4.094481e+09  6.777385e+09  \n",
       "2002 Population  1.883210e+07  1.113998e+07  1.269143e+07  \n",
       "     GDP         1.069328e+10  4.193846e+09  6.342116e+09  \n",
       "2003 Population  1.937401e+07  1.142601e+07  1.277416e+07  \n",
       "     GDP         1.177777e+10  4.901840e+09  5.727592e+09  \n",
       "2004 Population  1.993162e+07  1.172564e+07  1.286783e+07  \n",
       "     GDP         1.387350e+10  6.221078e+09  5.805598e+09  \n",
       "2005 Population  2.050438e+07  1.204359e+07  1.298442e+07  \n",
       "     GDP         1.675377e+10  8.331870e+09  5.755215e+09  \n",
       "2006 Population  2.109397e+07  1.238151e+07  1.312794e+07  \n",
       "     GDP         1.908173e+10  1.275686e+10  5.443896e+09  \n",
       "2007 Population  2.170110e+07  1.273868e+07  1.329780e+07  \n",
       "     GDP         2.563367e+10  1.405696e+10  5.291950e+09  \n",
       "2008 Population  2.232270e+07  1.311458e+07  1.349546e+07  \n",
       "     GDP         3.039720e+10  1.791086e+10  4.415703e+09  \n",
       "2009 Population  2.295423e+07  1.350785e+07  1.372100e+07  \n",
       "     GDP         2.845950e+10  1.532834e+10  8.157077e+09  \n",
       "2010 Population  2.359197e+07  1.391744e+07  1.397390e+07  \n",
       "     GDP         3.090675e+10  2.026555e+10  9.422161e+09  \n",
       "2011 Population  2.423494e+07  1.434353e+07  1.425559e+07  \n",
       "     GDP         3.107886e+10  2.345952e+10  1.095623e+10  \n",
       "2012 Population  2.488279e+07  1.478658e+07  1.456548e+07  \n",
       "     GDP         3.207477e+10  2.550306e+10  1.239272e+10  \n",
       "2013 Population  2.553322e+07  1.524609e+07  1.489809e+07  \n",
       "     GDP         3.595450e+10  2.804552e+10  1.349023e+10  \n",
       "2014 Population           NaN  1.572134e+07  1.524586e+07  \n",
       "     GDP                  NaN  2.713464e+10  1.419691e+10  \n",
       "2015 Population           NaN  1.621177e+07  1.560275e+07  \n",
       "     GDP                  NaN  2.120156e+10  1.389294e+10  \n",
       "\n",
       "[112 rows x 252 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack(\"country\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "      <th>GDP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Arab World</th>\n",
       "      <th>2015</th>\n",
       "      <td>392022276.0</td>\n",
       "      <td>2.530102e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>384222592.0</td>\n",
       "      <td>2.873600e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>376504253.0</td>\n",
       "      <td>2.846994e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>368802611.0</td>\n",
       "      <td>2.773270e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>361031820.0</td>\n",
       "      <td>2.497945e+12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Population           GDP\n",
       "country    year                           \n",
       "Arab World 2015  392022276.0  2.530102e+12\n",
       "           2014  384222592.0  2.873600e+12\n",
       "           2013  376504253.0  2.846994e+12\n",
       "           2012  368802611.0  2.773270e+12\n",
       "           2011  361031820.0  2.497945e+12"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world = pd.read_csv(\"worldstats.csv\",index_col=[\"country\",\"year\"])\n",
    "world.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = world.stack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "country     year            \n",
       "Arab World  2015  Population    3.920223e+08\n",
       "                  GDP           2.530102e+12\n",
       "            2014  Population    3.842226e+08\n",
       "dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th colspan=\"10\" halign=\"left\">Arab World</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">Zimbabwe</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th>2015</th>\n",
       "      <th>2014</th>\n",
       "      <th>2013</th>\n",
       "      <th>2012</th>\n",
       "      <th>2011</th>\n",
       "      <th>2010</th>\n",
       "      <th>2009</th>\n",
       "      <th>2008</th>\n",
       "      <th>2007</th>\n",
       "      <th>2006</th>\n",
       "      <th>...</th>\n",
       "      <th>1969</th>\n",
       "      <th>1968</th>\n",
       "      <th>1967</th>\n",
       "      <th>1966</th>\n",
       "      <th>1965</th>\n",
       "      <th>1964</th>\n",
       "      <th>1963</th>\n",
       "      <th>1962</th>\n",
       "      <th>1961</th>\n",
       "      <th>1960</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Population</th>\n",
       "      <td>3.920223e+08</td>\n",
       "      <td>3.842226e+08</td>\n",
       "      <td>3.765043e+08</td>\n",
       "      <td>3.688026e+08</td>\n",
       "      <td>3.610318e+08</td>\n",
       "      <td>3.531122e+08</td>\n",
       "      <td>3.450542e+08</td>\n",
       "      <td>3.368865e+08</td>\n",
       "      <td>3.287666e+08</td>\n",
       "      <td>3.209067e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>5.036321e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "      <td>3.752390e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.530102e+12</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>1.747999e+09</td>\n",
       "      <td>1.479600e+09</td>\n",
       "      <td>1.397002e+09</td>\n",
       "      <td>1.281750e+09</td>\n",
       "      <td>1.311436e+09</td>\n",
       "      <td>1.217138e+09</td>\n",
       "      <td>1.159512e+09</td>\n",
       "      <td>1.117602e+09</td>\n",
       "      <td>1.096647e+09</td>\n",
       "      <td>1.052990e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 11211 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "country       Arab World                                            \\\n",
       "year                2015          2014          2013          2012   \n",
       "Population  3.920223e+08  3.842226e+08  3.765043e+08  3.688026e+08   \n",
       "GDP         2.530102e+12  2.873600e+12  2.846994e+12  2.773270e+12   \n",
       "\n",
       "country                                                             \\\n",
       "year                2011          2010          2009          2008   \n",
       "Population  3.610318e+08  3.531122e+08  3.450542e+08  3.368865e+08   \n",
       "GDP         2.497945e+12  2.103825e+12  1.798878e+12  2.081343e+12   \n",
       "\n",
       "country                                 ...      Zimbabwe                \\\n",
       "year                2007          2006  ...          1969          1968   \n",
       "Population  3.287666e+08  3.209067e+08  ...  5.036321e+06  4.874113e+06   \n",
       "GDP         1.641666e+12  1.404190e+12  ...  1.747999e+09  1.479600e+09   \n",
       "\n",
       "country                                                             \\\n",
       "year                1967          1966          1965          1964   \n",
       "Population  4.718612e+06  4.568320e+06  4.422132e+06  4.279561e+06   \n",
       "GDP         1.397002e+09  1.281750e+09  1.311436e+09  1.217138e+09   \n",
       "\n",
       "country                                                             \n",
       "year                1963          1962          1961          1960  \n",
       "Population  4.140804e+06  4.006262e+06  3.876638e+06  3.752390e+06  \n",
       "GDP         1.159512e+09  1.117602e+09  1.096647e+09  1.052990e+09  \n",
       "\n",
       "[2 rows x 11211 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack(level = [0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th colspan=\"10\" halign=\"left\">Arab World</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">Zimbabwe</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th>2015</th>\n",
       "      <th>2014</th>\n",
       "      <th>2013</th>\n",
       "      <th>2012</th>\n",
       "      <th>2011</th>\n",
       "      <th>2010</th>\n",
       "      <th>2009</th>\n",
       "      <th>2008</th>\n",
       "      <th>2007</th>\n",
       "      <th>2006</th>\n",
       "      <th>...</th>\n",
       "      <th>1969</th>\n",
       "      <th>1968</th>\n",
       "      <th>1967</th>\n",
       "      <th>1966</th>\n",
       "      <th>1965</th>\n",
       "      <th>1964</th>\n",
       "      <th>1963</th>\n",
       "      <th>1962</th>\n",
       "      <th>1961</th>\n",
       "      <th>1960</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Population</th>\n",
       "      <td>3.920223e+08</td>\n",
       "      <td>3.842226e+08</td>\n",
       "      <td>3.765043e+08</td>\n",
       "      <td>3.688026e+08</td>\n",
       "      <td>3.610318e+08</td>\n",
       "      <td>3.531122e+08</td>\n",
       "      <td>3.450542e+08</td>\n",
       "      <td>3.368865e+08</td>\n",
       "      <td>3.287666e+08</td>\n",
       "      <td>3.209067e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>5.036321e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "      <td>3.752390e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.530102e+12</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>1.747999e+09</td>\n",
       "      <td>1.479600e+09</td>\n",
       "      <td>1.397002e+09</td>\n",
       "      <td>1.281750e+09</td>\n",
       "      <td>1.311436e+09</td>\n",
       "      <td>1.217138e+09</td>\n",
       "      <td>1.159512e+09</td>\n",
       "      <td>1.117602e+09</td>\n",
       "      <td>1.096647e+09</td>\n",
       "      <td>1.052990e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 11211 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "country       Arab World                                            \\\n",
       "year                2015          2014          2013          2012   \n",
       "Population  3.920223e+08  3.842226e+08  3.765043e+08  3.688026e+08   \n",
       "GDP         2.530102e+12  2.873600e+12  2.846994e+12  2.773270e+12   \n",
       "\n",
       "country                                                             \\\n",
       "year                2011          2010          2009          2008   \n",
       "Population  3.610318e+08  3.531122e+08  3.450542e+08  3.368865e+08   \n",
       "GDP         2.497945e+12  2.103825e+12  1.798878e+12  2.081343e+12   \n",
       "\n",
       "country                                 ...      Zimbabwe                \\\n",
       "year                2007          2006  ...          1969          1968   \n",
       "Population  3.287666e+08  3.209067e+08  ...  5.036321e+06  4.874113e+06   \n",
       "GDP         1.641666e+12  1.404190e+12  ...  1.747999e+09  1.479600e+09   \n",
       "\n",
       "country                                                             \\\n",
       "year                1967          1966          1965          1964   \n",
       "Population  4.718612e+06  4.568320e+06  4.422132e+06  4.279561e+06   \n",
       "GDP         1.397002e+09  1.281750e+09  1.311436e+09  1.217138e+09   \n",
       "\n",
       "country                                                             \n",
       "year                1963          1962          1961          1960  \n",
       "Population  4.140804e+06  4.006262e+06  3.876638e+06  3.752390e+06  \n",
       "GDP         1.159512e+09  1.117602e+09  1.096647e+09  1.052990e+09  \n",
       "\n",
       "[2 rows x 11211 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack(level = ['country','year'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>1966</th>\n",
       "      <th>1967</th>\n",
       "      <th>1968</th>\n",
       "      <th>1969</th>\n",
       "      <th>...</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Afghanistan</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.994793e+06</td>\n",
       "      <td>9.164945e+06</td>\n",
       "      <td>9.343772e+06</td>\n",
       "      <td>9.531555e+06</td>\n",
       "      <td>9.728645e+06</td>\n",
       "      <td>9.935358e+06</td>\n",
       "      <td>1.014884e+07</td>\n",
       "      <td>1.036860e+07</td>\n",
       "      <td>1.059979e+07</td>\n",
       "      <td>1.084951e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.518362e+07</td>\n",
       "      <td>2.587754e+07</td>\n",
       "      <td>2.652874e+07</td>\n",
       "      <td>2.720729e+07</td>\n",
       "      <td>2.796221e+07</td>\n",
       "      <td>2.880917e+07</td>\n",
       "      <td>2.972680e+07</td>\n",
       "      <td>3.068250e+07</td>\n",
       "      <td>3.162751e+07</td>\n",
       "      <td>3.252656e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.377778e+08</td>\n",
       "      <td>5.488889e+08</td>\n",
       "      <td>5.466667e+08</td>\n",
       "      <td>7.511112e+08</td>\n",
       "      <td>8.000000e+08</td>\n",
       "      <td>1.006667e+09</td>\n",
       "      <td>1.400000e+09</td>\n",
       "      <td>1.673333e+09</td>\n",
       "      <td>1.373333e+09</td>\n",
       "      <td>1.408889e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>7.057598e+09</td>\n",
       "      <td>9.843842e+09</td>\n",
       "      <td>1.019053e+10</td>\n",
       "      <td>1.248694e+10</td>\n",
       "      <td>1.593680e+10</td>\n",
       "      <td>1.793024e+10</td>\n",
       "      <td>2.053654e+10</td>\n",
       "      <td>2.004633e+10</td>\n",
       "      <td>2.005019e+10</td>\n",
       "      <td>1.919944e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Albania</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.992547e+06</td>\n",
       "      <td>2.970017e+06</td>\n",
       "      <td>2.947314e+06</td>\n",
       "      <td>2.927519e+06</td>\n",
       "      <td>2.913021e+06</td>\n",
       "      <td>2.904780e+06</td>\n",
       "      <td>2.900247e+06</td>\n",
       "      <td>2.896652e+06</td>\n",
       "      <td>2.893654e+06</td>\n",
       "      <td>2.889167e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.992642e+09</td>\n",
       "      <td>1.070101e+10</td>\n",
       "      <td>1.288135e+10</td>\n",
       "      <td>1.204421e+10</td>\n",
       "      <td>1.192695e+10</td>\n",
       "      <td>1.289087e+10</td>\n",
       "      <td>1.231978e+10</td>\n",
       "      <td>1.278103e+10</td>\n",
       "      <td>1.327796e+10</td>\n",
       "      <td>1.145560e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Algeria</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.112489e+07</td>\n",
       "      <td>1.140486e+07</td>\n",
       "      <td>1.169015e+07</td>\n",
       "      <td>1.198513e+07</td>\n",
       "      <td>1.229597e+07</td>\n",
       "      <td>1.262695e+07</td>\n",
       "      <td>1.298027e+07</td>\n",
       "      <td>1.335420e+07</td>\n",
       "      <td>1.374438e+07</td>\n",
       "      <td>1.414444e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.374933e+07</td>\n",
       "      <td>3.426197e+07</td>\n",
       "      <td>3.481106e+07</td>\n",
       "      <td>3.540179e+07</td>\n",
       "      <td>3.603616e+07</td>\n",
       "      <td>3.671713e+07</td>\n",
       "      <td>3.743943e+07</td>\n",
       "      <td>3.818614e+07</td>\n",
       "      <td>3.893433e+07</td>\n",
       "      <td>3.966652e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.723638e+09</td>\n",
       "      <td>2.434767e+09</td>\n",
       "      <td>2.001461e+09</td>\n",
       "      <td>2.703004e+09</td>\n",
       "      <td>2.909340e+09</td>\n",
       "      <td>3.136284e+09</td>\n",
       "      <td>3.039859e+09</td>\n",
       "      <td>3.370870e+09</td>\n",
       "      <td>3.852147e+09</td>\n",
       "      <td>4.257253e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.170273e+11</td>\n",
       "      <td>1.349771e+11</td>\n",
       "      <td>1.710007e+11</td>\n",
       "      <td>1.372110e+11</td>\n",
       "      <td>1.612073e+11</td>\n",
       "      <td>2.000131e+11</td>\n",
       "      <td>2.090474e+11</td>\n",
       "      <td>2.097035e+11</td>\n",
       "      <td>2.135185e+11</td>\n",
       "      <td>1.668386e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Andorra</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.337300e+04</td>\n",
       "      <td>8.487800e+04</td>\n",
       "      <td>8.561600e+04</td>\n",
       "      <td>8.547400e+04</td>\n",
       "      <td>8.441900e+04</td>\n",
       "      <td>8.232600e+04</td>\n",
       "      <td>7.931600e+04</td>\n",
       "      <td>7.590200e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.536452e+09</td>\n",
       "      <td>4.010785e+09</td>\n",
       "      <td>4.001349e+09</td>\n",
       "      <td>3.649863e+09</td>\n",
       "      <td>3.346317e+09</td>\n",
       "      <td>3.427236e+09</td>\n",
       "      <td>3.146178e+09</td>\n",
       "      <td>3.249101e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Angola</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.854147e+07</td>\n",
       "      <td>1.918391e+07</td>\n",
       "      <td>1.984225e+07</td>\n",
       "      <td>2.052010e+07</td>\n",
       "      <td>2.121995e+07</td>\n",
       "      <td>2.194230e+07</td>\n",
       "      <td>2.268563e+07</td>\n",
       "      <td>2.344820e+07</td>\n",
       "      <td>2.422752e+07</td>\n",
       "      <td>2.502197e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.178948e+10</td>\n",
       "      <td>6.044892e+10</td>\n",
       "      <td>8.417803e+10</td>\n",
       "      <td>7.549238e+10</td>\n",
       "      <td>8.247091e+10</td>\n",
       "      <td>1.041159e+11</td>\n",
       "      <td>1.153984e+11</td>\n",
       "      <td>1.249121e+11</td>\n",
       "      <td>1.267751e+11</td>\n",
       "      <td>1.026431e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Antigua and Barbuda</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.346700e+04</td>\n",
       "      <td>8.439700e+04</td>\n",
       "      <td>8.535000e+04</td>\n",
       "      <td>8.630000e+04</td>\n",
       "      <td>8.723300e+04</td>\n",
       "      <td>8.815200e+04</td>\n",
       "      <td>8.906900e+04</td>\n",
       "      <td>8.998500e+04</td>\n",
       "      <td>9.090000e+04</td>\n",
       "      <td>9.181800e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.135144e+09</td>\n",
       "      <td>1.289254e+09</td>\n",
       "      <td>1.347350e+09</td>\n",
       "      <td>1.206410e+09</td>\n",
       "      <td>1.135539e+09</td>\n",
       "      <td>1.129918e+09</td>\n",
       "      <td>1.204713e+09</td>\n",
       "      <td>1.200588e+09</td>\n",
       "      <td>1.220976e+09</td>\n",
       "      <td>1.297285e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Arab World</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.155571e+08</td>\n",
       "      <td>1.188239e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>3.209067e+08</td>\n",
       "      <td>3.287666e+08</td>\n",
       "      <td>3.368865e+08</td>\n",
       "      <td>3.450542e+08</td>\n",
       "      <td>3.531122e+08</td>\n",
       "      <td>3.610318e+08</td>\n",
       "      <td>3.688026e+08</td>\n",
       "      <td>3.765043e+08</td>\n",
       "      <td>3.842226e+08</td>\n",
       "      <td>3.920223e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.552596e+10</td>\n",
       "      <td>2.817577e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>2.530102e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Argentina</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.128768e+07</td>\n",
       "      <td>2.162184e+07</td>\n",
       "      <td>2.195393e+07</td>\n",
       "      <td>2.228339e+07</td>\n",
       "      <td>2.260875e+07</td>\n",
       "      <td>2.293220e+07</td>\n",
       "      <td>2.326127e+07</td>\n",
       "      <td>2.360599e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.955875e+07</td>\n",
       "      <td>3.996990e+07</td>\n",
       "      <td>4.038186e+07</td>\n",
       "      <td>4.079864e+07</td>\n",
       "      <td>4.122288e+07</td>\n",
       "      <td>4.165562e+07</td>\n",
       "      <td>4.209522e+07</td>\n",
       "      <td>4.253830e+07</td>\n",
       "      <td>4.298003e+07</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.445060e+10</td>\n",
       "      <td>1.827212e+10</td>\n",
       "      <td>2.560525e+10</td>\n",
       "      <td>2.834471e+10</td>\n",
       "      <td>2.863047e+10</td>\n",
       "      <td>2.425667e+10</td>\n",
       "      <td>2.643686e+10</td>\n",
       "      <td>3.125628e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>2.626665e+11</td>\n",
       "      <td>3.293175e+11</td>\n",
       "      <td>4.037820e+11</td>\n",
       "      <td>3.766279e+11</td>\n",
       "      <td>4.616402e+11</td>\n",
       "      <td>5.578902e+11</td>\n",
       "      <td>6.043785e+11</td>\n",
       "      <td>6.239320e+11</td>\n",
       "      <td>5.480549e+11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Armenia</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.002161e+06</td>\n",
       "      <td>2.988117e+06</td>\n",
       "      <td>2.975029e+06</td>\n",
       "      <td>2.966108e+06</td>\n",
       "      <td>2.963496e+06</td>\n",
       "      <td>2.967984e+06</td>\n",
       "      <td>2.978339e+06</td>\n",
       "      <td>2.992192e+06</td>\n",
       "      <td>3.006154e+06</td>\n",
       "      <td>3.017712e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.384452e+09</td>\n",
       "      <td>9.206302e+09</td>\n",
       "      <td>1.166204e+10</td>\n",
       "      <td>8.647937e+09</td>\n",
       "      <td>9.260285e+09</td>\n",
       "      <td>1.014211e+10</td>\n",
       "      <td>1.061932e+10</td>\n",
       "      <td>1.112147e+10</td>\n",
       "      <td>1.164444e+10</td>\n",
       "      <td>1.056140e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Aruba</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.008300e+05</td>\n",
       "      <td>1.012180e+05</td>\n",
       "      <td>1.013420e+05</td>\n",
       "      <td>1.014160e+05</td>\n",
       "      <td>1.015970e+05</td>\n",
       "      <td>1.019360e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.421475e+09</td>\n",
       "      <td>2.623726e+09</td>\n",
       "      <td>2.791961e+09</td>\n",
       "      <td>2.498933e+09</td>\n",
       "      <td>2.467704e+09</td>\n",
       "      <td>2.584464e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Australia</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.027648e+07</td>\n",
       "      <td>1.048300e+07</td>\n",
       "      <td>1.074200e+07</td>\n",
       "      <td>1.095000e+07</td>\n",
       "      <td>1.116700e+07</td>\n",
       "      <td>1.138800e+07</td>\n",
       "      <td>1.165100e+07</td>\n",
       "      <td>1.179900e+07</td>\n",
       "      <td>1.200900e+07</td>\n",
       "      <td>1.226300e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.069790e+07</td>\n",
       "      <td>2.082760e+07</td>\n",
       "      <td>2.124920e+07</td>\n",
       "      <td>2.169170e+07</td>\n",
       "      <td>2.203175e+07</td>\n",
       "      <td>2.234002e+07</td>\n",
       "      <td>2.272825e+07</td>\n",
       "      <td>2.311735e+07</td>\n",
       "      <td>2.346409e+07</td>\n",
       "      <td>2.378117e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.856759e+10</td>\n",
       "      <td>1.963938e+10</td>\n",
       "      <td>1.988353e+10</td>\n",
       "      <td>2.149737e+10</td>\n",
       "      <td>2.375406e+10</td>\n",
       "      <td>2.592564e+10</td>\n",
       "      <td>2.725053e+10</td>\n",
       "      <td>3.037854e+10</td>\n",
       "      <td>3.264195e+10</td>\n",
       "      <td>3.660656e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>7.468808e+11</td>\n",
       "      <td>8.530533e+11</td>\n",
       "      <td>1.054558e+12</td>\n",
       "      <td>9.265638e+11</td>\n",
       "      <td>1.142251e+12</td>\n",
       "      <td>1.389919e+12</td>\n",
       "      <td>1.537478e+12</td>\n",
       "      <td>1.563951e+12</td>\n",
       "      <td>1.454675e+12</td>\n",
       "      <td>1.339539e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Austria</th>\n",
       "      <th>Population</th>\n",
       "      <td>7.047539e+06</td>\n",
       "      <td>7.086299e+06</td>\n",
       "      <td>7.129864e+06</td>\n",
       "      <td>7.175811e+06</td>\n",
       "      <td>7.223801e+06</td>\n",
       "      <td>7.270889e+06</td>\n",
       "      <td>7.322066e+06</td>\n",
       "      <td>7.376998e+06</td>\n",
       "      <td>7.415403e+06</td>\n",
       "      <td>7.441055e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>8.268641e+06</td>\n",
       "      <td>8.295487e+06</td>\n",
       "      <td>8.321496e+06</td>\n",
       "      <td>8.343323e+06</td>\n",
       "      <td>8.363404e+06</td>\n",
       "      <td>8.391643e+06</td>\n",
       "      <td>8.429991e+06</td>\n",
       "      <td>8.479375e+06</td>\n",
       "      <td>8.541575e+06</td>\n",
       "      <td>8.611088e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.592694e+09</td>\n",
       "      <td>7.311750e+09</td>\n",
       "      <td>7.756110e+09</td>\n",
       "      <td>8.374175e+09</td>\n",
       "      <td>9.169984e+09</td>\n",
       "      <td>9.994071e+09</td>\n",
       "      <td>1.088768e+10</td>\n",
       "      <td>1.157943e+10</td>\n",
       "      <td>1.244063e+10</td>\n",
       "      <td>1.358280e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>3.343094e+11</td>\n",
       "      <td>3.864590e+11</td>\n",
       "      <td>4.276115e+11</td>\n",
       "      <td>3.975943e+11</td>\n",
       "      <td>3.902351e+11</td>\n",
       "      <td>4.290107e+11</td>\n",
       "      <td>4.073730e+11</td>\n",
       "      <td>4.286986e+11</td>\n",
       "      <td>4.368875e+11</td>\n",
       "      <td>3.740559e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Azerbaijan</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.484550e+06</td>\n",
       "      <td>8.581300e+06</td>\n",
       "      <td>8.763400e+06</td>\n",
       "      <td>8.947243e+06</td>\n",
       "      <td>9.054332e+06</td>\n",
       "      <td>9.173082e+06</td>\n",
       "      <td>9.295784e+06</td>\n",
       "      <td>9.416801e+06</td>\n",
       "      <td>9.535079e+06</td>\n",
       "      <td>9.651349e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.098302e+10</td>\n",
       "      <td>3.305034e+10</td>\n",
       "      <td>4.885248e+10</td>\n",
       "      <td>4.429149e+10</td>\n",
       "      <td>5.290270e+10</td>\n",
       "      <td>6.595163e+10</td>\n",
       "      <td>6.873091e+10</td>\n",
       "      <td>7.356048e+10</td>\n",
       "      <td>7.519801e+10</td>\n",
       "      <td>5.304714e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bahamas, The</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.095260e+05</td>\n",
       "      <td>1.151080e+05</td>\n",
       "      <td>1.210830e+05</td>\n",
       "      <td>1.273310e+05</td>\n",
       "      <td>1.336970e+05</td>\n",
       "      <td>1.400490e+05</td>\n",
       "      <td>1.463640e+05</td>\n",
       "      <td>1.526070e+05</td>\n",
       "      <td>1.586290e+05</td>\n",
       "      <td>1.642500e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.358010e+05</td>\n",
       "      <td>3.422590e+05</td>\n",
       "      <td>3.485870e+05</td>\n",
       "      <td>3.547800e+05</td>\n",
       "      <td>3.608300e+05</td>\n",
       "      <td>3.667110e+05</td>\n",
       "      <td>3.723880e+05</td>\n",
       "      <td>3.778410e+05</td>\n",
       "      <td>3.830540e+05</td>\n",
       "      <td>3.880190e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.698023e+08</td>\n",
       "      <td>1.900962e+08</td>\n",
       "      <td>2.122528e+08</td>\n",
       "      <td>2.377428e+08</td>\n",
       "      <td>2.666641e+08</td>\n",
       "      <td>3.003922e+08</td>\n",
       "      <td>3.400000e+08</td>\n",
       "      <td>3.901961e+08</td>\n",
       "      <td>4.449020e+08</td>\n",
       "      <td>5.281373e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>7.965588e+09</td>\n",
       "      <td>8.318996e+09</td>\n",
       "      <td>8.246650e+09</td>\n",
       "      <td>7.820420e+09</td>\n",
       "      <td>7.909580e+09</td>\n",
       "      <td>7.889750e+09</td>\n",
       "      <td>8.234470e+09</td>\n",
       "      <td>8.431750e+09</td>\n",
       "      <td>8.510500e+09</td>\n",
       "      <td>8.884441e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bahrain</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>9.408080e+05</td>\n",
       "      <td>1.026568e+06</td>\n",
       "      <td>1.115777e+06</td>\n",
       "      <td>1.196774e+06</td>\n",
       "      <td>1.261319e+06</td>\n",
       "      <td>1.306014e+06</td>\n",
       "      <td>1.333577e+06</td>\n",
       "      <td>1.349427e+06</td>\n",
       "      <td>1.361930e+06</td>\n",
       "      <td>1.377237e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.850505e+10</td>\n",
       "      <td>2.173000e+10</td>\n",
       "      <td>2.571088e+10</td>\n",
       "      <td>2.293822e+10</td>\n",
       "      <td>2.571327e+10</td>\n",
       "      <td>2.904407e+10</td>\n",
       "      <td>3.075646e+10</td>\n",
       "      <td>3.289761e+10</td>\n",
       "      <td>3.385106e+10</td>\n",
       "      <td>3.222149e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United Arab Emirates</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>5.171255e+06</td>\n",
       "      <td>6.010100e+06</td>\n",
       "      <td>6.900142e+06</td>\n",
       "      <td>7.705423e+06</td>\n",
       "      <td>8.329453e+06</td>\n",
       "      <td>8.734722e+06</td>\n",
       "      <td>8.952542e+06</td>\n",
       "      <td>9.039978e+06</td>\n",
       "      <td>9.086139e+06</td>\n",
       "      <td>9.156963e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.221059e+11</td>\n",
       "      <td>2.579161e+11</td>\n",
       "      <td>3.154746e+11</td>\n",
       "      <td>2.535474e+11</td>\n",
       "      <td>2.860493e+11</td>\n",
       "      <td>3.485261e+11</td>\n",
       "      <td>3.734295e+11</td>\n",
       "      <td>3.871921e+11</td>\n",
       "      <td>3.994513e+11</td>\n",
       "      <td>3.702927e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United Kingdom</th>\n",
       "      <th>Population</th>\n",
       "      <td>5.240000e+07</td>\n",
       "      <td>5.280000e+07</td>\n",
       "      <td>5.325000e+07</td>\n",
       "      <td>5.365000e+07</td>\n",
       "      <td>5.400000e+07</td>\n",
       "      <td>5.434805e+07</td>\n",
       "      <td>5.464850e+07</td>\n",
       "      <td>5.494360e+07</td>\n",
       "      <td>5.521170e+07</td>\n",
       "      <td>5.544175e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>6.084682e+07</td>\n",
       "      <td>6.132246e+07</td>\n",
       "      <td>6.180700e+07</td>\n",
       "      <td>6.227627e+07</td>\n",
       "      <td>6.276636e+07</td>\n",
       "      <td>6.325892e+07</td>\n",
       "      <td>6.370030e+07</td>\n",
       "      <td>6.412823e+07</td>\n",
       "      <td>6.461316e+07</td>\n",
       "      <td>6.513823e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>7.232805e+10</td>\n",
       "      <td>7.669436e+10</td>\n",
       "      <td>8.060194e+10</td>\n",
       "      <td>8.544377e+10</td>\n",
       "      <td>9.338760e+10</td>\n",
       "      <td>1.005958e+11</td>\n",
       "      <td>1.070907e+11</td>\n",
       "      <td>1.111854e+11</td>\n",
       "      <td>1.047027e+11</td>\n",
       "      <td>1.126769e+11</td>\n",
       "      <td>...</td>\n",
       "      <td>2.588077e+12</td>\n",
       "      <td>2.969734e+12</td>\n",
       "      <td>2.793377e+12</td>\n",
       "      <td>2.314577e+12</td>\n",
       "      <td>2.403504e+12</td>\n",
       "      <td>2.594905e+12</td>\n",
       "      <td>2.630473e+12</td>\n",
       "      <td>2.712296e+12</td>\n",
       "      <td>2.990201e+12</td>\n",
       "      <td>2.848755e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United States</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.806710e+08</td>\n",
       "      <td>1.836910e+08</td>\n",
       "      <td>1.865380e+08</td>\n",
       "      <td>1.892420e+08</td>\n",
       "      <td>1.918890e+08</td>\n",
       "      <td>1.943030e+08</td>\n",
       "      <td>1.965600e+08</td>\n",
       "      <td>1.987120e+08</td>\n",
       "      <td>2.007060e+08</td>\n",
       "      <td>2.026770e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>2.983799e+08</td>\n",
       "      <td>3.012312e+08</td>\n",
       "      <td>3.040940e+08</td>\n",
       "      <td>3.067715e+08</td>\n",
       "      <td>3.093469e+08</td>\n",
       "      <td>3.117189e+08</td>\n",
       "      <td>3.141026e+08</td>\n",
       "      <td>3.164274e+08</td>\n",
       "      <td>3.189074e+08</td>\n",
       "      <td>3.214188e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.433000e+11</td>\n",
       "      <td>5.633000e+11</td>\n",
       "      <td>6.051000e+11</td>\n",
       "      <td>6.386000e+11</td>\n",
       "      <td>6.858000e+11</td>\n",
       "      <td>7.437000e+11</td>\n",
       "      <td>8.150000e+11</td>\n",
       "      <td>8.617000e+11</td>\n",
       "      <td>9.425000e+11</td>\n",
       "      <td>1.019900e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>1.385589e+13</td>\n",
       "      <td>1.447764e+13</td>\n",
       "      <td>1.471858e+13</td>\n",
       "      <td>1.441874e+13</td>\n",
       "      <td>1.496437e+13</td>\n",
       "      <td>1.551793e+13</td>\n",
       "      <td>1.615526e+13</td>\n",
       "      <td>1.666316e+13</td>\n",
       "      <td>1.734807e+13</td>\n",
       "      <td>1.794700e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Upper middle income</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.154592e+09</td>\n",
       "      <td>1.159145e+09</td>\n",
       "      <td>1.176093e+09</td>\n",
       "      <td>1.204372e+09</td>\n",
       "      <td>1.232266e+09</td>\n",
       "      <td>1.261069e+09</td>\n",
       "      <td>1.292755e+09</td>\n",
       "      <td>1.323615e+09</td>\n",
       "      <td>1.355381e+09</td>\n",
       "      <td>1.388827e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>2.380136e+09</td>\n",
       "      <td>2.397567e+09</td>\n",
       "      <td>2.415306e+09</td>\n",
       "      <td>2.433652e+09</td>\n",
       "      <td>2.452055e+09</td>\n",
       "      <td>2.470971e+09</td>\n",
       "      <td>2.490586e+09</td>\n",
       "      <td>2.510573e+09</td>\n",
       "      <td>2.530632e+09</td>\n",
       "      <td>2.550326e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.854612e+11</td>\n",
       "      <td>1.690732e+11</td>\n",
       "      <td>1.777957e+11</td>\n",
       "      <td>1.955819e+11</td>\n",
       "      <td>2.144250e+11</td>\n",
       "      <td>2.397244e+11</td>\n",
       "      <td>2.666625e+11</td>\n",
       "      <td>2.766866e+11</td>\n",
       "      <td>2.898954e+11</td>\n",
       "      <td>3.221882e+11</td>\n",
       "      <td>...</td>\n",
       "      <td>8.620784e+12</td>\n",
       "      <td>1.073130e+13</td>\n",
       "      <td>1.312644e+13</td>\n",
       "      <td>1.263584e+13</td>\n",
       "      <td>1.530029e+13</td>\n",
       "      <td>1.829801e+13</td>\n",
       "      <td>1.955543e+13</td>\n",
       "      <td>2.080729e+13</td>\n",
       "      <td>2.133305e+13</td>\n",
       "      <td>1.973288e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Uruguay</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.538651e+06</td>\n",
       "      <td>2.571691e+06</td>\n",
       "      <td>2.603887e+06</td>\n",
       "      <td>2.635128e+06</td>\n",
       "      <td>2.665387e+06</td>\n",
       "      <td>2.694535e+06</td>\n",
       "      <td>2.722874e+06</td>\n",
       "      <td>2.750093e+06</td>\n",
       "      <td>2.774771e+06</td>\n",
       "      <td>2.795044e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.331041e+06</td>\n",
       "      <td>3.339750e+06</td>\n",
       "      <td>3.350832e+06</td>\n",
       "      <td>3.362761e+06</td>\n",
       "      <td>3.374414e+06</td>\n",
       "      <td>3.385610e+06</td>\n",
       "      <td>3.396753e+06</td>\n",
       "      <td>3.407969e+06</td>\n",
       "      <td>3.419516e+06</td>\n",
       "      <td>3.431555e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.242289e+09</td>\n",
       "      <td>1.547389e+09</td>\n",
       "      <td>1.710004e+09</td>\n",
       "      <td>1.539682e+09</td>\n",
       "      <td>1.975702e+09</td>\n",
       "      <td>1.890769e+09</td>\n",
       "      <td>1.809184e+09</td>\n",
       "      <td>1.597721e+09</td>\n",
       "      <td>1.593675e+09</td>\n",
       "      <td>2.004435e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.957946e+10</td>\n",
       "      <td>2.341057e+10</td>\n",
       "      <td>3.036621e+10</td>\n",
       "      <td>3.166091e+10</td>\n",
       "      <td>4.028468e+10</td>\n",
       "      <td>4.796244e+10</td>\n",
       "      <td>5.126540e+10</td>\n",
       "      <td>5.753123e+10</td>\n",
       "      <td>5.723577e+10</td>\n",
       "      <td>5.344270e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Uzbekistan</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.648825e+07</td>\n",
       "      <td>2.686800e+07</td>\n",
       "      <td>2.730280e+07</td>\n",
       "      <td>2.776740e+07</td>\n",
       "      <td>2.856240e+07</td>\n",
       "      <td>2.933940e+07</td>\n",
       "      <td>2.977450e+07</td>\n",
       "      <td>3.024320e+07</td>\n",
       "      <td>3.075770e+07</td>\n",
       "      <td>3.129950e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.703090e+10</td>\n",
       "      <td>2.231139e+10</td>\n",
       "      <td>2.793403e+10</td>\n",
       "      <td>3.281683e+10</td>\n",
       "      <td>3.933277e+10</td>\n",
       "      <td>4.532432e+10</td>\n",
       "      <td>5.118344e+10</td>\n",
       "      <td>5.679566e+10</td>\n",
       "      <td>6.313285e+10</td>\n",
       "      <td>6.673280e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Vanuatu</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.146350e+05</td>\n",
       "      <td>2.199560e+05</td>\n",
       "      <td>2.253350e+05</td>\n",
       "      <td>2.307820e+05</td>\n",
       "      <td>2.362990e+05</td>\n",
       "      <td>2.418760e+05</td>\n",
       "      <td>2.474980e+05</td>\n",
       "      <td>2.531650e+05</td>\n",
       "      <td>2.588830e+05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.393768e+08</td>\n",
       "      <td>5.264283e+08</td>\n",
       "      <td>6.079586e+08</td>\n",
       "      <td>6.100666e+08</td>\n",
       "      <td>7.008043e+08</td>\n",
       "      <td>7.921497e+08</td>\n",
       "      <td>7.817029e+08</td>\n",
       "      <td>8.017876e+08</td>\n",
       "      <td>8.149546e+08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Venezuela, RB</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.146845e+06</td>\n",
       "      <td>8.461684e+06</td>\n",
       "      <td>8.790590e+06</td>\n",
       "      <td>9.130346e+06</td>\n",
       "      <td>9.476255e+06</td>\n",
       "      <td>9.824694e+06</td>\n",
       "      <td>1.017514e+07</td>\n",
       "      <td>1.052805e+07</td>\n",
       "      <td>1.088200e+07</td>\n",
       "      <td>1.123549e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.722123e+07</td>\n",
       "      <td>2.767066e+07</td>\n",
       "      <td>2.811672e+07</td>\n",
       "      <td>2.855861e+07</td>\n",
       "      <td>2.899574e+07</td>\n",
       "      <td>2.942763e+07</td>\n",
       "      <td>2.985424e+07</td>\n",
       "      <td>3.027604e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>8.607600e+09</td>\n",
       "      <td>8.923367e+09</td>\n",
       "      <td>9.873398e+09</td>\n",
       "      <td>1.066338e+10</td>\n",
       "      <td>9.113581e+09</td>\n",
       "      <td>9.602945e+09</td>\n",
       "      <td>1.009657e+10</td>\n",
       "      <td>1.047278e+10</td>\n",
       "      <td>1.147091e+10</td>\n",
       "      <td>1.192757e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.834775e+11</td>\n",
       "      <td>2.303642e+11</td>\n",
       "      <td>3.156002e+11</td>\n",
       "      <td>3.294190e+11</td>\n",
       "      <td>3.938015e+11</td>\n",
       "      <td>3.164822e+11</td>\n",
       "      <td>3.812862e+11</td>\n",
       "      <td>3.713366e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Vietnam</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.331120e+07</td>\n",
       "      <td>8.421850e+07</td>\n",
       "      <td>8.511870e+07</td>\n",
       "      <td>8.602500e+07</td>\n",
       "      <td>8.693250e+07</td>\n",
       "      <td>8.786030e+07</td>\n",
       "      <td>8.880920e+07</td>\n",
       "      <td>8.975950e+07</td>\n",
       "      <td>9.072890e+07</td>\n",
       "      <td>9.170380e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.637166e+10</td>\n",
       "      <td>7.741443e+10</td>\n",
       "      <td>9.913030e+10</td>\n",
       "      <td>1.060146e+11</td>\n",
       "      <td>1.159317e+11</td>\n",
       "      <td>1.355395e+11</td>\n",
       "      <td>1.558200e+11</td>\n",
       "      <td>1.712220e+11</td>\n",
       "      <td>1.862047e+11</td>\n",
       "      <td>1.935994e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Virgin Islands (U.S.)</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.200000e+04</td>\n",
       "      <td>3.410000e+04</td>\n",
       "      <td>3.630000e+04</td>\n",
       "      <td>3.870000e+04</td>\n",
       "      <td>4.130000e+04</td>\n",
       "      <td>4.400000e+04</td>\n",
       "      <td>4.730000e+04</td>\n",
       "      <td>5.080000e+04</td>\n",
       "      <td>5.460000e+04</td>\n",
       "      <td>5.860000e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.420000e+07</td>\n",
       "      <td>2.570000e+07</td>\n",
       "      <td>3.690000e+07</td>\n",
       "      <td>4.140000e+07</td>\n",
       "      <td>5.380000e+07</td>\n",
       "      <td>6.650000e+07</td>\n",
       "      <td>8.410000e+07</td>\n",
       "      <td>1.154000e+08</td>\n",
       "      <td>1.738000e+08</td>\n",
       "      <td>2.113000e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">West Bank and Gaza</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.406334e+06</td>\n",
       "      <td>3.494496e+06</td>\n",
       "      <td>3.596688e+06</td>\n",
       "      <td>3.702218e+06</td>\n",
       "      <td>3.811102e+06</td>\n",
       "      <td>3.927051e+06</td>\n",
       "      <td>4.046901e+06</td>\n",
       "      <td>4.169506e+06</td>\n",
       "      <td>4.294682e+06</td>\n",
       "      <td>4.422143e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.910100e+09</td>\n",
       "      <td>5.505800e+09</td>\n",
       "      <td>6.673500e+09</td>\n",
       "      <td>7.268200e+09</td>\n",
       "      <td>8.913100e+09</td>\n",
       "      <td>1.045985e+10</td>\n",
       "      <td>1.127940e+10</td>\n",
       "      <td>1.247600e+10</td>\n",
       "      <td>1.271560e+10</td>\n",
       "      <td>1.267740e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">World</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.035056e+09</td>\n",
       "      <td>3.076121e+09</td>\n",
       "      <td>3.129064e+09</td>\n",
       "      <td>3.193947e+09</td>\n",
       "      <td>3.259355e+09</td>\n",
       "      <td>3.326054e+09</td>\n",
       "      <td>3.395866e+09</td>\n",
       "      <td>3.465297e+09</td>\n",
       "      <td>3.535512e+09</td>\n",
       "      <td>3.609910e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>6.594722e+09</td>\n",
       "      <td>6.675833e+09</td>\n",
       "      <td>6.758303e+09</td>\n",
       "      <td>6.840956e+09</td>\n",
       "      <td>6.923684e+09</td>\n",
       "      <td>7.006908e+09</td>\n",
       "      <td>7.089452e+09</td>\n",
       "      <td>7.176092e+09</td>\n",
       "      <td>7.260780e+09</td>\n",
       "      <td>7.346633e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.364643e+12</td>\n",
       "      <td>1.420440e+12</td>\n",
       "      <td>1.524573e+12</td>\n",
       "      <td>1.638187e+12</td>\n",
       "      <td>1.799675e+12</td>\n",
       "      <td>1.959900e+12</td>\n",
       "      <td>2.125397e+12</td>\n",
       "      <td>2.262923e+12</td>\n",
       "      <td>2.440549e+12</td>\n",
       "      <td>2.686747e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>5.107451e+13</td>\n",
       "      <td>5.758343e+13</td>\n",
       "      <td>6.312856e+13</td>\n",
       "      <td>5.983553e+13</td>\n",
       "      <td>6.564782e+13</td>\n",
       "      <td>7.284314e+13</td>\n",
       "      <td>7.442836e+13</td>\n",
       "      <td>7.643132e+13</td>\n",
       "      <td>7.810634e+13</td>\n",
       "      <td>7.343364e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Yemen, Rep.</th>\n",
       "      <th>Population</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.109397e+07</td>\n",
       "      <td>2.170110e+07</td>\n",
       "      <td>2.232270e+07</td>\n",
       "      <td>2.295423e+07</td>\n",
       "      <td>2.359197e+07</td>\n",
       "      <td>2.423494e+07</td>\n",
       "      <td>2.488279e+07</td>\n",
       "      <td>2.553322e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.908173e+10</td>\n",
       "      <td>2.563367e+10</td>\n",
       "      <td>3.039720e+10</td>\n",
       "      <td>2.845950e+10</td>\n",
       "      <td>3.090675e+10</td>\n",
       "      <td>3.107886e+10</td>\n",
       "      <td>3.207477e+10</td>\n",
       "      <td>3.595450e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Zambia</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.049586e+06</td>\n",
       "      <td>3.142848e+06</td>\n",
       "      <td>3.240664e+06</td>\n",
       "      <td>3.342894e+06</td>\n",
       "      <td>3.449266e+06</td>\n",
       "      <td>3.559687e+06</td>\n",
       "      <td>3.674088e+06</td>\n",
       "      <td>3.792864e+06</td>\n",
       "      <td>3.916928e+06</td>\n",
       "      <td>4.047479e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.238151e+07</td>\n",
       "      <td>1.273868e+07</td>\n",
       "      <td>1.311458e+07</td>\n",
       "      <td>1.350785e+07</td>\n",
       "      <td>1.391744e+07</td>\n",
       "      <td>1.434353e+07</td>\n",
       "      <td>1.478658e+07</td>\n",
       "      <td>1.524609e+07</td>\n",
       "      <td>1.572134e+07</td>\n",
       "      <td>1.621177e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.987397e+08</td>\n",
       "      <td>6.823597e+08</td>\n",
       "      <td>6.792797e+08</td>\n",
       "      <td>7.043397e+08</td>\n",
       "      <td>8.226397e+08</td>\n",
       "      <td>1.061200e+09</td>\n",
       "      <td>1.239000e+09</td>\n",
       "      <td>1.340639e+09</td>\n",
       "      <td>1.573739e+09</td>\n",
       "      <td>1.926399e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.275686e+10</td>\n",
       "      <td>1.405696e+10</td>\n",
       "      <td>1.791086e+10</td>\n",
       "      <td>1.532834e+10</td>\n",
       "      <td>2.026555e+10</td>\n",
       "      <td>2.345952e+10</td>\n",
       "      <td>2.550306e+10</td>\n",
       "      <td>2.804552e+10</td>\n",
       "      <td>2.713464e+10</td>\n",
       "      <td>2.120156e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Zimbabwe</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.752390e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "      <td>5.036321e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.312794e+07</td>\n",
       "      <td>1.329780e+07</td>\n",
       "      <td>1.349546e+07</td>\n",
       "      <td>1.372100e+07</td>\n",
       "      <td>1.397390e+07</td>\n",
       "      <td>1.425559e+07</td>\n",
       "      <td>1.456548e+07</td>\n",
       "      <td>1.489809e+07</td>\n",
       "      <td>1.524586e+07</td>\n",
       "      <td>1.560275e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.052990e+09</td>\n",
       "      <td>1.096647e+09</td>\n",
       "      <td>1.117602e+09</td>\n",
       "      <td>1.159512e+09</td>\n",
       "      <td>1.217138e+09</td>\n",
       "      <td>1.311436e+09</td>\n",
       "      <td>1.281750e+09</td>\n",
       "      <td>1.397002e+09</td>\n",
       "      <td>1.479600e+09</td>\n",
       "      <td>1.747999e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>5.443896e+09</td>\n",
       "      <td>5.291950e+09</td>\n",
       "      <td>4.415703e+09</td>\n",
       "      <td>8.157077e+09</td>\n",
       "      <td>9.422161e+09</td>\n",
       "      <td>1.095623e+10</td>\n",
       "      <td>1.239272e+10</td>\n",
       "      <td>1.349023e+10</td>\n",
       "      <td>1.419691e+10</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>504 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "year                                      1960          1961          1962  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  8.994793e+06  9.164945e+06  9.343772e+06   \n",
       "                      GDP         5.377778e+08  5.488889e+08  5.466667e+08   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.112489e+07  1.140486e+07  1.169015e+07   \n",
       "                      GDP         2.723638e+09  2.434767e+09  2.001461e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Argentina             Population           NaN           NaN  2.128768e+07   \n",
       "                      GDP                  NaN           NaN  2.445060e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.027648e+07  1.048300e+07  1.074200e+07   \n",
       "                      GDP         1.856759e+10  1.963938e+10  1.988353e+10   \n",
       "Austria               Population  7.047539e+06  7.086299e+06  7.129864e+06   \n",
       "                      GDP         6.592694e+09  7.311750e+09  7.756110e+09   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.095260e+05  1.151080e+05  1.210830e+05   \n",
       "                      GDP         1.698023e+08  1.900962e+08  2.122528e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.240000e+07  5.280000e+07  5.325000e+07   \n",
       "                      GDP         7.232805e+10  7.669436e+10  8.060194e+10   \n",
       "United States         Population  1.806710e+08  1.836910e+08  1.865380e+08   \n",
       "                      GDP         5.433000e+11  5.633000e+11  6.051000e+11   \n",
       "Upper middle income   Population  1.154592e+09  1.159145e+09  1.176093e+09   \n",
       "                      GDP         1.854612e+11  1.690732e+11  1.777957e+11   \n",
       "Uruguay               Population  2.538651e+06  2.571691e+06  2.603887e+06   \n",
       "                      GDP         1.242289e+09  1.547389e+09  1.710004e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  8.146845e+06  8.461684e+06  8.790590e+06   \n",
       "                      GDP         8.607600e+09  8.923367e+09  9.873398e+09   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  3.200000e+04  3.410000e+04  3.630000e+04   \n",
       "                      GDP         2.420000e+07  2.570000e+07  3.690000e+07   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.035056e+09  3.076121e+09  3.129064e+09   \n",
       "                      GDP         1.364643e+12  1.420440e+12  1.524573e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.049586e+06  3.142848e+06  3.240664e+06   \n",
       "                      GDP         6.987397e+08  6.823597e+08  6.792797e+08   \n",
       "Zimbabwe              Population  3.752390e+06  3.876638e+06  4.006262e+06   \n",
       "                      GDP         1.052990e+09  1.096647e+09  1.117602e+09   \n",
       "\n",
       "year                                      1963          1964          1965  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  9.531555e+06  9.728645e+06  9.935358e+06   \n",
       "                      GDP         7.511112e+08  8.000000e+08  1.006667e+09   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.198513e+07  1.229597e+07  1.262695e+07   \n",
       "                      GDP         2.703004e+09  2.909340e+09  3.136284e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Argentina             Population  2.162184e+07  2.195393e+07  2.228339e+07   \n",
       "                      GDP         1.827212e+10  2.560525e+10  2.834471e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.095000e+07  1.116700e+07  1.138800e+07   \n",
       "                      GDP         2.149737e+10  2.375406e+10  2.592564e+10   \n",
       "Austria               Population  7.175811e+06  7.223801e+06  7.270889e+06   \n",
       "                      GDP         8.374175e+09  9.169984e+09  9.994071e+09   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.273310e+05  1.336970e+05  1.400490e+05   \n",
       "                      GDP         2.377428e+08  2.666641e+08  3.003922e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.365000e+07  5.400000e+07  5.434805e+07   \n",
       "                      GDP         8.544377e+10  9.338760e+10  1.005958e+11   \n",
       "United States         Population  1.892420e+08  1.918890e+08  1.943030e+08   \n",
       "                      GDP         6.386000e+11  6.858000e+11  7.437000e+11   \n",
       "Upper middle income   Population  1.204372e+09  1.232266e+09  1.261069e+09   \n",
       "                      GDP         1.955819e+11  2.144250e+11  2.397244e+11   \n",
       "Uruguay               Population  2.635128e+06  2.665387e+06  2.694535e+06   \n",
       "                      GDP         1.539682e+09  1.975702e+09  1.890769e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  9.130346e+06  9.476255e+06  9.824694e+06   \n",
       "                      GDP         1.066338e+10  9.113581e+09  9.602945e+09   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  3.870000e+04  4.130000e+04  4.400000e+04   \n",
       "                      GDP         4.140000e+07  5.380000e+07  6.650000e+07   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.193947e+09  3.259355e+09  3.326054e+09   \n",
       "                      GDP         1.638187e+12  1.799675e+12  1.959900e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.342894e+06  3.449266e+06  3.559687e+06   \n",
       "                      GDP         7.043397e+08  8.226397e+08  1.061200e+09   \n",
       "Zimbabwe              Population  4.140804e+06  4.279561e+06  4.422132e+06   \n",
       "                      GDP         1.159512e+09  1.217138e+09  1.311436e+09   \n",
       "\n",
       "year                                      1966          1967          1968  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  1.014884e+07  1.036860e+07  1.059979e+07   \n",
       "                      GDP         1.400000e+09  1.673333e+09  1.373333e+09   \n",
       "Albania               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Algeria               Population  1.298027e+07  1.335420e+07  1.374438e+07   \n",
       "                      GDP         3.039859e+09  3.370870e+09  3.852147e+09   \n",
       "Andorra               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Angola                Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Antigua and Barbuda   Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Arab World            Population           NaN           NaN  1.155571e+08   \n",
       "                      GDP                  NaN           NaN  2.552596e+10   \n",
       "Argentina             Population  2.260875e+07  2.293220e+07  2.326127e+07   \n",
       "                      GDP         2.863047e+10  2.425667e+10  2.643686e+10   \n",
       "Armenia               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Aruba                 Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Australia             Population  1.165100e+07  1.179900e+07  1.200900e+07   \n",
       "                      GDP         2.725053e+10  3.037854e+10  3.264195e+10   \n",
       "Austria               Population  7.322066e+06  7.376998e+06  7.415403e+06   \n",
       "                      GDP         1.088768e+10  1.157943e+10  1.244063e+10   \n",
       "Azerbaijan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Bahamas, The          Population  1.463640e+05  1.526070e+05  1.586290e+05   \n",
       "                      GDP         3.400000e+08  3.901961e+08  4.449020e+08   \n",
       "Bahrain               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "United Kingdom        Population  5.464850e+07  5.494360e+07  5.521170e+07   \n",
       "                      GDP         1.070907e+11  1.111854e+11  1.047027e+11   \n",
       "United States         Population  1.965600e+08  1.987120e+08  2.007060e+08   \n",
       "                      GDP         8.150000e+11  8.617000e+11  9.425000e+11   \n",
       "Upper middle income   Population  1.292755e+09  1.323615e+09  1.355381e+09   \n",
       "                      GDP         2.666625e+11  2.766866e+11  2.898954e+11   \n",
       "Uruguay               Population  2.722874e+06  2.750093e+06  2.774771e+06   \n",
       "                      GDP         1.809184e+09  1.597721e+09  1.593675e+09   \n",
       "Uzbekistan            Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Vanuatu               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Venezuela, RB         Population  1.017514e+07  1.052805e+07  1.088200e+07   \n",
       "                      GDP         1.009657e+10  1.047278e+10  1.147091e+10   \n",
       "Vietnam               Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Virgin Islands (U.S.) Population  4.730000e+04  5.080000e+04  5.460000e+04   \n",
       "                      GDP         8.410000e+07  1.154000e+08  1.738000e+08   \n",
       "West Bank and Gaza    Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "World                 Population  3.395866e+09  3.465297e+09  3.535512e+09   \n",
       "                      GDP         2.125397e+12  2.262923e+12  2.440549e+12   \n",
       "Yemen, Rep.           Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "Zambia                Population  3.674088e+06  3.792864e+06  3.916928e+06   \n",
       "                      GDP         1.239000e+09  1.340639e+09  1.573739e+09   \n",
       "Zimbabwe              Population  4.568320e+06  4.718612e+06  4.874113e+06   \n",
       "                      GDP         1.281750e+09  1.397002e+09  1.479600e+09   \n",
       "\n",
       "year                                      1969  ...          2006  \\\n",
       "country                                         ...                 \n",
       "Afghanistan           Population  1.084951e+07  ...  2.518362e+07   \n",
       "                      GDP         1.408889e+09  ...  7.057598e+09   \n",
       "Albania               Population           NaN  ...  2.992547e+06   \n",
       "                      GDP                  NaN  ...  8.992642e+09   \n",
       "Algeria               Population  1.414444e+07  ...  3.374933e+07   \n",
       "                      GDP         4.257253e+09  ...  1.170273e+11   \n",
       "Andorra               Population           NaN  ...  8.337300e+04   \n",
       "                      GDP                  NaN  ...  3.536452e+09   \n",
       "Angola                Population           NaN  ...  1.854147e+07   \n",
       "                      GDP                  NaN  ...  4.178948e+10   \n",
       "Antigua and Barbuda   Population           NaN  ...  8.346700e+04   \n",
       "                      GDP                  NaN  ...  1.135144e+09   \n",
       "Arab World            Population  1.188239e+08  ...  3.209067e+08   \n",
       "                      GDP         2.817577e+10  ...  1.404190e+12   \n",
       "Argentina             Population  2.360599e+07  ...  3.955875e+07   \n",
       "                      GDP         3.125628e+10  ...  2.626665e+11   \n",
       "Armenia               Population           NaN  ...  3.002161e+06   \n",
       "                      GDP                  NaN  ...  6.384452e+09   \n",
       "Aruba                 Population           NaN  ...  1.008300e+05   \n",
       "                      GDP                  NaN  ...  2.421475e+09   \n",
       "Australia             Population  1.226300e+07  ...  2.069790e+07   \n",
       "                      GDP         3.660656e+10  ...  7.468808e+11   \n",
       "Austria               Population  7.441055e+06  ...  8.268641e+06   \n",
       "                      GDP         1.358280e+10  ...  3.343094e+11   \n",
       "Azerbaijan            Population           NaN  ...  8.484550e+06   \n",
       "                      GDP                  NaN  ...  2.098302e+10   \n",
       "Bahamas, The          Population  1.642500e+05  ...  3.358010e+05   \n",
       "                      GDP         5.281373e+08  ...  7.965588e+09   \n",
       "Bahrain               Population           NaN  ...  9.408080e+05   \n",
       "                      GDP                  NaN  ...  1.850505e+10   \n",
       "...                                        ...  ...           ...   \n",
       "United Arab Emirates  Population           NaN  ...  5.171255e+06   \n",
       "                      GDP                  NaN  ...  2.221059e+11   \n",
       "United Kingdom        Population  5.544175e+07  ...  6.084682e+07   \n",
       "                      GDP         1.126769e+11  ...  2.588077e+12   \n",
       "United States         Population  2.026770e+08  ...  2.983799e+08   \n",
       "                      GDP         1.019900e+12  ...  1.385589e+13   \n",
       "Upper middle income   Population  1.388827e+09  ...  2.380136e+09   \n",
       "                      GDP         3.221882e+11  ...  8.620784e+12   \n",
       "Uruguay               Population  2.795044e+06  ...  3.331041e+06   \n",
       "                      GDP         2.004435e+09  ...  1.957946e+10   \n",
       "Uzbekistan            Population           NaN  ...  2.648825e+07   \n",
       "                      GDP                  NaN  ...  1.703090e+10   \n",
       "Vanuatu               Population           NaN  ...  2.146350e+05   \n",
       "                      GDP                  NaN  ...  4.393768e+08   \n",
       "Venezuela, RB         Population  1.123549e+07  ...  2.722123e+07   \n",
       "                      GDP         1.192757e+10  ...  1.834775e+11   \n",
       "Vietnam               Population           NaN  ...  8.331120e+07   \n",
       "                      GDP                  NaN  ...  6.637166e+10   \n",
       "Virgin Islands (U.S.) Population  5.860000e+04  ...           NaN   \n",
       "                      GDP         2.113000e+08  ...           NaN   \n",
       "West Bank and Gaza    Population           NaN  ...  3.406334e+06   \n",
       "                      GDP                  NaN  ...  4.910100e+09   \n",
       "World                 Population  3.609910e+09  ...  6.594722e+09   \n",
       "                      GDP         2.686747e+12  ...  5.107451e+13   \n",
       "Yemen, Rep.           Population           NaN  ...  2.109397e+07   \n",
       "                      GDP                  NaN  ...  1.908173e+10   \n",
       "Zambia                Population  4.047479e+06  ...  1.238151e+07   \n",
       "                      GDP         1.926399e+09  ...  1.275686e+10   \n",
       "Zimbabwe              Population  5.036321e+06  ...  1.312794e+07   \n",
       "                      GDP         1.747999e+09  ...  5.443896e+09   \n",
       "\n",
       "year                                      2007          2008          2009  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  2.587754e+07  2.652874e+07  2.720729e+07   \n",
       "                      GDP         9.843842e+09  1.019053e+10  1.248694e+10   \n",
       "Albania               Population  2.970017e+06  2.947314e+06  2.927519e+06   \n",
       "                      GDP         1.070101e+10  1.288135e+10  1.204421e+10   \n",
       "Algeria               Population  3.426197e+07  3.481106e+07  3.540179e+07   \n",
       "                      GDP         1.349771e+11  1.710007e+11  1.372110e+11   \n",
       "Andorra               Population  8.487800e+04  8.561600e+04  8.547400e+04   \n",
       "                      GDP         4.010785e+09  4.001349e+09  3.649863e+09   \n",
       "Angola                Population  1.918391e+07  1.984225e+07  2.052010e+07   \n",
       "                      GDP         6.044892e+10  8.417803e+10  7.549238e+10   \n",
       "Antigua and Barbuda   Population  8.439700e+04  8.535000e+04  8.630000e+04   \n",
       "                      GDP         1.289254e+09  1.347350e+09  1.206410e+09   \n",
       "Arab World            Population  3.287666e+08  3.368865e+08  3.450542e+08   \n",
       "                      GDP         1.641666e+12  2.081343e+12  1.798878e+12   \n",
       "Argentina             Population  3.996990e+07  4.038186e+07  4.079864e+07   \n",
       "                      GDP         3.293175e+11  4.037820e+11  3.766279e+11   \n",
       "Armenia               Population  2.988117e+06  2.975029e+06  2.966108e+06   \n",
       "                      GDP         9.206302e+09  1.166204e+10  8.647937e+09   \n",
       "Aruba                 Population  1.012180e+05  1.013420e+05  1.014160e+05   \n",
       "                      GDP         2.623726e+09  2.791961e+09  2.498933e+09   \n",
       "Australia             Population  2.082760e+07  2.124920e+07  2.169170e+07   \n",
       "                      GDP         8.530533e+11  1.054558e+12  9.265638e+11   \n",
       "Austria               Population  8.295487e+06  8.321496e+06  8.343323e+06   \n",
       "                      GDP         3.864590e+11  4.276115e+11  3.975943e+11   \n",
       "Azerbaijan            Population  8.581300e+06  8.763400e+06  8.947243e+06   \n",
       "                      GDP         3.305034e+10  4.885248e+10  4.429149e+10   \n",
       "Bahamas, The          Population  3.422590e+05  3.485870e+05  3.547800e+05   \n",
       "                      GDP         8.318996e+09  8.246650e+09  7.820420e+09   \n",
       "Bahrain               Population  1.026568e+06  1.115777e+06  1.196774e+06   \n",
       "                      GDP         2.173000e+10  2.571088e+10  2.293822e+10   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  6.010100e+06  6.900142e+06  7.705423e+06   \n",
       "                      GDP         2.579161e+11  3.154746e+11  2.535474e+11   \n",
       "United Kingdom        Population  6.132246e+07  6.180700e+07  6.227627e+07   \n",
       "                      GDP         2.969734e+12  2.793377e+12  2.314577e+12   \n",
       "United States         Population  3.012312e+08  3.040940e+08  3.067715e+08   \n",
       "                      GDP         1.447764e+13  1.471858e+13  1.441874e+13   \n",
       "Upper middle income   Population  2.397567e+09  2.415306e+09  2.433652e+09   \n",
       "                      GDP         1.073130e+13  1.312644e+13  1.263584e+13   \n",
       "Uruguay               Population  3.339750e+06  3.350832e+06  3.362761e+06   \n",
       "                      GDP         2.341057e+10  3.036621e+10  3.166091e+10   \n",
       "Uzbekistan            Population  2.686800e+07  2.730280e+07  2.776740e+07   \n",
       "                      GDP         2.231139e+10  2.793403e+10  3.281683e+10   \n",
       "Vanuatu               Population  2.199560e+05  2.253350e+05  2.307820e+05   \n",
       "                      GDP         5.264283e+08  6.079586e+08  6.100666e+08   \n",
       "Venezuela, RB         Population  2.767066e+07  2.811672e+07  2.855861e+07   \n",
       "                      GDP         2.303642e+11  3.156002e+11  3.294190e+11   \n",
       "Vietnam               Population  8.421850e+07  8.511870e+07  8.602500e+07   \n",
       "                      GDP         7.741443e+10  9.913030e+10  1.060146e+11   \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "West Bank and Gaza    Population  3.494496e+06  3.596688e+06  3.702218e+06   \n",
       "                      GDP         5.505800e+09  6.673500e+09  7.268200e+09   \n",
       "World                 Population  6.675833e+09  6.758303e+09  6.840956e+09   \n",
       "                      GDP         5.758343e+13  6.312856e+13  5.983553e+13   \n",
       "Yemen, Rep.           Population  2.170110e+07  2.232270e+07  2.295423e+07   \n",
       "                      GDP         2.563367e+10  3.039720e+10  2.845950e+10   \n",
       "Zambia                Population  1.273868e+07  1.311458e+07  1.350785e+07   \n",
       "                      GDP         1.405696e+10  1.791086e+10  1.532834e+10   \n",
       "Zimbabwe              Population  1.329780e+07  1.349546e+07  1.372100e+07   \n",
       "                      GDP         5.291950e+09  4.415703e+09  8.157077e+09   \n",
       "\n",
       "year                                      2010          2011          2012  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  2.796221e+07  2.880917e+07  2.972680e+07   \n",
       "                      GDP         1.593680e+10  1.793024e+10  2.053654e+10   \n",
       "Albania               Population  2.913021e+06  2.904780e+06  2.900247e+06   \n",
       "                      GDP         1.192695e+10  1.289087e+10  1.231978e+10   \n",
       "Algeria               Population  3.603616e+07  3.671713e+07  3.743943e+07   \n",
       "                      GDP         1.612073e+11  2.000131e+11  2.090474e+11   \n",
       "Andorra               Population  8.441900e+04  8.232600e+04  7.931600e+04   \n",
       "                      GDP         3.346317e+09  3.427236e+09  3.146178e+09   \n",
       "Angola                Population  2.121995e+07  2.194230e+07  2.268563e+07   \n",
       "                      GDP         8.247091e+10  1.041159e+11  1.153984e+11   \n",
       "Antigua and Barbuda   Population  8.723300e+04  8.815200e+04  8.906900e+04   \n",
       "                      GDP         1.135539e+09  1.129918e+09  1.204713e+09   \n",
       "Arab World            Population  3.531122e+08  3.610318e+08  3.688026e+08   \n",
       "                      GDP         2.103825e+12  2.497945e+12  2.773270e+12   \n",
       "Argentina             Population  4.122288e+07  4.165562e+07  4.209522e+07   \n",
       "                      GDP         4.616402e+11  5.578902e+11  6.043785e+11   \n",
       "Armenia               Population  2.963496e+06  2.967984e+06  2.978339e+06   \n",
       "                      GDP         9.260285e+09  1.014211e+10  1.061932e+10   \n",
       "Aruba                 Population  1.015970e+05  1.019360e+05           NaN   \n",
       "                      GDP         2.467704e+09  2.584464e+09           NaN   \n",
       "Australia             Population  2.203175e+07  2.234002e+07  2.272825e+07   \n",
       "                      GDP         1.142251e+12  1.389919e+12  1.537478e+12   \n",
       "Austria               Population  8.363404e+06  8.391643e+06  8.429991e+06   \n",
       "                      GDP         3.902351e+11  4.290107e+11  4.073730e+11   \n",
       "Azerbaijan            Population  9.054332e+06  9.173082e+06  9.295784e+06   \n",
       "                      GDP         5.290270e+10  6.595163e+10  6.873091e+10   \n",
       "Bahamas, The          Population  3.608300e+05  3.667110e+05  3.723880e+05   \n",
       "                      GDP         7.909580e+09  7.889750e+09  8.234470e+09   \n",
       "Bahrain               Population  1.261319e+06  1.306014e+06  1.333577e+06   \n",
       "                      GDP         2.571327e+10  2.904407e+10  3.075646e+10   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  8.329453e+06  8.734722e+06  8.952542e+06   \n",
       "                      GDP         2.860493e+11  3.485261e+11  3.734295e+11   \n",
       "United Kingdom        Population  6.276636e+07  6.325892e+07  6.370030e+07   \n",
       "                      GDP         2.403504e+12  2.594905e+12  2.630473e+12   \n",
       "United States         Population  3.093469e+08  3.117189e+08  3.141026e+08   \n",
       "                      GDP         1.496437e+13  1.551793e+13  1.615526e+13   \n",
       "Upper middle income   Population  2.452055e+09  2.470971e+09  2.490586e+09   \n",
       "                      GDP         1.530029e+13  1.829801e+13  1.955543e+13   \n",
       "Uruguay               Population  3.374414e+06  3.385610e+06  3.396753e+06   \n",
       "                      GDP         4.028468e+10  4.796244e+10  5.126540e+10   \n",
       "Uzbekistan            Population  2.856240e+07  2.933940e+07  2.977450e+07   \n",
       "                      GDP         3.933277e+10  4.532432e+10  5.118344e+10   \n",
       "Vanuatu               Population  2.362990e+05  2.418760e+05  2.474980e+05   \n",
       "                      GDP         7.008043e+08  7.921497e+08  7.817029e+08   \n",
       "Venezuela, RB         Population  2.899574e+07  2.942763e+07  2.985424e+07   \n",
       "                      GDP         3.938015e+11  3.164822e+11  3.812862e+11   \n",
       "Vietnam               Population  8.693250e+07  8.786030e+07  8.880920e+07   \n",
       "                      GDP         1.159317e+11  1.355395e+11  1.558200e+11   \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN   \n",
       "                      GDP                  NaN           NaN           NaN   \n",
       "West Bank and Gaza    Population  3.811102e+06  3.927051e+06  4.046901e+06   \n",
       "                      GDP         8.913100e+09  1.045985e+10  1.127940e+10   \n",
       "World                 Population  6.923684e+09  7.006908e+09  7.089452e+09   \n",
       "                      GDP         6.564782e+13  7.284314e+13  7.442836e+13   \n",
       "Yemen, Rep.           Population  2.359197e+07  2.423494e+07  2.488279e+07   \n",
       "                      GDP         3.090675e+10  3.107886e+10  3.207477e+10   \n",
       "Zambia                Population  1.391744e+07  1.434353e+07  1.478658e+07   \n",
       "                      GDP         2.026555e+10  2.345952e+10  2.550306e+10   \n",
       "Zimbabwe              Population  1.397390e+07  1.425559e+07  1.456548e+07   \n",
       "                      GDP         9.422161e+09  1.095623e+10  1.239272e+10   \n",
       "\n",
       "year                                      2013          2014          2015  \n",
       "country                                                                     \n",
       "Afghanistan           Population  3.068250e+07  3.162751e+07  3.252656e+07  \n",
       "                      GDP         2.004633e+10  2.005019e+10  1.919944e+10  \n",
       "Albania               Population  2.896652e+06  2.893654e+06  2.889167e+06  \n",
       "                      GDP         1.278103e+10  1.327796e+10  1.145560e+10  \n",
       "Algeria               Population  3.818614e+07  3.893433e+07  3.966652e+07  \n",
       "                      GDP         2.097035e+11  2.135185e+11  1.668386e+11  \n",
       "Andorra               Population  7.590200e+04           NaN           NaN  \n",
       "                      GDP         3.249101e+09           NaN           NaN  \n",
       "Angola                Population  2.344820e+07  2.422752e+07  2.502197e+07  \n",
       "                      GDP         1.249121e+11  1.267751e+11  1.026431e+11  \n",
       "Antigua and Barbuda   Population  8.998500e+04  9.090000e+04  9.181800e+04  \n",
       "                      GDP         1.200588e+09  1.220976e+09  1.297285e+09  \n",
       "Arab World            Population  3.765043e+08  3.842226e+08  3.920223e+08  \n",
       "                      GDP         2.846994e+12  2.873600e+12  2.530102e+12  \n",
       "Argentina             Population  4.253830e+07  4.298003e+07           NaN  \n",
       "                      GDP         6.239320e+11  5.480549e+11           NaN  \n",
       "Armenia               Population  2.992192e+06  3.006154e+06  3.017712e+06  \n",
       "                      GDP         1.112147e+10  1.164444e+10  1.056140e+10  \n",
       "Aruba                 Population           NaN           NaN           NaN  \n",
       "                      GDP                  NaN           NaN           NaN  \n",
       "Australia             Population  2.311735e+07  2.346409e+07  2.378117e+07  \n",
       "                      GDP         1.563951e+12  1.454675e+12  1.339539e+12  \n",
       "Austria               Population  8.479375e+06  8.541575e+06  8.611088e+06  \n",
       "                      GDP         4.286986e+11  4.368875e+11  3.740559e+11  \n",
       "Azerbaijan            Population  9.416801e+06  9.535079e+06  9.651349e+06  \n",
       "                      GDP         7.356048e+10  7.519801e+10  5.304714e+10  \n",
       "Bahamas, The          Population  3.778410e+05  3.830540e+05  3.880190e+05  \n",
       "                      GDP         8.431750e+09  8.510500e+09  8.884441e+09  \n",
       "Bahrain               Population  1.349427e+06  1.361930e+06  1.377237e+06  \n",
       "                      GDP         3.289761e+10  3.385106e+10  3.222149e+10  \n",
       "...                                        ...           ...           ...  \n",
       "United Arab Emirates  Population  9.039978e+06  9.086139e+06  9.156963e+06  \n",
       "                      GDP         3.871921e+11  3.994513e+11  3.702927e+11  \n",
       "United Kingdom        Population  6.412823e+07  6.461316e+07  6.513823e+07  \n",
       "                      GDP         2.712296e+12  2.990201e+12  2.848755e+12  \n",
       "United States         Population  3.164274e+08  3.189074e+08  3.214188e+08  \n",
       "                      GDP         1.666316e+13  1.734807e+13  1.794700e+13  \n",
       "Upper middle income   Population  2.510573e+09  2.530632e+09  2.550326e+09  \n",
       "                      GDP         2.080729e+13  2.133305e+13  1.973288e+13  \n",
       "Uruguay               Population  3.407969e+06  3.419516e+06  3.431555e+06  \n",
       "                      GDP         5.753123e+10  5.723577e+10  5.344270e+10  \n",
       "Uzbekistan            Population  3.024320e+07  3.075770e+07  3.129950e+07  \n",
       "                      GDP         5.679566e+10  6.313285e+10  6.673280e+10  \n",
       "Vanuatu               Population  2.531650e+05  2.588830e+05           NaN  \n",
       "                      GDP         8.017876e+08  8.149546e+08           NaN  \n",
       "Venezuela, RB         Population  3.027604e+07           NaN           NaN  \n",
       "                      GDP         3.713366e+11           NaN           NaN  \n",
       "Vietnam               Population  8.975950e+07  9.072890e+07  9.170380e+07  \n",
       "                      GDP         1.712220e+11  1.862047e+11  1.935994e+11  \n",
       "Virgin Islands (U.S.) Population           NaN           NaN           NaN  \n",
       "                      GDP                  NaN           NaN           NaN  \n",
       "West Bank and Gaza    Population  4.169506e+06  4.294682e+06  4.422143e+06  \n",
       "                      GDP         1.247600e+10  1.271560e+10  1.267740e+10  \n",
       "World                 Population  7.176092e+09  7.260780e+09  7.346633e+09  \n",
       "                      GDP         7.643132e+13  7.810634e+13  7.343364e+13  \n",
       "Yemen, Rep.           Population  2.553322e+07           NaN           NaN  \n",
       "                      GDP         3.595450e+10           NaN           NaN  \n",
       "Zambia                Population  1.524609e+07  1.572134e+07  1.621177e+07  \n",
       "                      GDP         2.804552e+10  2.713464e+10  2.120156e+10  \n",
       "Zimbabwe              Population  1.489809e+07  1.524586e+07  1.560275e+07  \n",
       "                      GDP         1.349023e+10  1.419691e+10  1.389294e+10  \n",
       "\n",
       "[504 rows x 56 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack('year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>1966</th>\n",
       "      <th>1967</th>\n",
       "      <th>1968</th>\n",
       "      <th>1969</th>\n",
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       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Afghanistan</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.994793e+06</td>\n",
       "      <td>9.164945e+06</td>\n",
       "      <td>9.343772e+06</td>\n",
       "      <td>9.531555e+06</td>\n",
       "      <td>9.728645e+06</td>\n",
       "      <td>9.935358e+06</td>\n",
       "      <td>1.014884e+07</td>\n",
       "      <td>1.036860e+07</td>\n",
       "      <td>1.059979e+07</td>\n",
       "      <td>1.084951e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.518362e+07</td>\n",
       "      <td>2.587754e+07</td>\n",
       "      <td>2.652874e+07</td>\n",
       "      <td>2.720729e+07</td>\n",
       "      <td>2.796221e+07</td>\n",
       "      <td>2.880917e+07</td>\n",
       "      <td>2.972680e+07</td>\n",
       "      <td>3.068250e+07</td>\n",
       "      <td>3.162751e+07</td>\n",
       "      <td>3.252656e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.377778e+08</td>\n",
       "      <td>5.488889e+08</td>\n",
       "      <td>5.466667e+08</td>\n",
       "      <td>7.511112e+08</td>\n",
       "      <td>8.000000e+08</td>\n",
       "      <td>1.006667e+09</td>\n",
       "      <td>1.400000e+09</td>\n",
       "      <td>1.673333e+09</td>\n",
       "      <td>1.373333e+09</td>\n",
       "      <td>1.408889e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>7.057598e+09</td>\n",
       "      <td>9.843842e+09</td>\n",
       "      <td>1.019053e+10</td>\n",
       "      <td>1.248694e+10</td>\n",
       "      <td>1.593680e+10</td>\n",
       "      <td>1.793024e+10</td>\n",
       "      <td>2.053654e+10</td>\n",
       "      <td>2.004633e+10</td>\n",
       "      <td>2.005019e+10</td>\n",
       "      <td>1.919944e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Albania</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.992547e+06</td>\n",
       "      <td>2.970017e+06</td>\n",
       "      <td>2.947314e+06</td>\n",
       "      <td>2.927519e+06</td>\n",
       "      <td>2.913021e+06</td>\n",
       "      <td>2.904780e+06</td>\n",
       "      <td>2.900247e+06</td>\n",
       "      <td>2.896652e+06</td>\n",
       "      <td>2.893654e+06</td>\n",
       "      <td>2.889167e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>8.992642e+09</td>\n",
       "      <td>1.070101e+10</td>\n",
       "      <td>1.288135e+10</td>\n",
       "      <td>1.204421e+10</td>\n",
       "      <td>1.192695e+10</td>\n",
       "      <td>1.289087e+10</td>\n",
       "      <td>1.231978e+10</td>\n",
       "      <td>1.278103e+10</td>\n",
       "      <td>1.327796e+10</td>\n",
       "      <td>1.145560e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Algeria</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.112489e+07</td>\n",
       "      <td>1.140486e+07</td>\n",
       "      <td>1.169015e+07</td>\n",
       "      <td>1.198513e+07</td>\n",
       "      <td>1.229597e+07</td>\n",
       "      <td>1.262695e+07</td>\n",
       "      <td>1.298027e+07</td>\n",
       "      <td>1.335420e+07</td>\n",
       "      <td>1.374438e+07</td>\n",
       "      <td>1.414444e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.374933e+07</td>\n",
       "      <td>3.426197e+07</td>\n",
       "      <td>3.481106e+07</td>\n",
       "      <td>3.540179e+07</td>\n",
       "      <td>3.603616e+07</td>\n",
       "      <td>3.671713e+07</td>\n",
       "      <td>3.743943e+07</td>\n",
       "      <td>3.818614e+07</td>\n",
       "      <td>3.893433e+07</td>\n",
       "      <td>3.966652e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.723638e+09</td>\n",
       "      <td>2.434767e+09</td>\n",
       "      <td>2.001461e+09</td>\n",
       "      <td>2.703004e+09</td>\n",
       "      <td>2.909340e+09</td>\n",
       "      <td>3.136284e+09</td>\n",
       "      <td>3.039859e+09</td>\n",
       "      <td>3.370870e+09</td>\n",
       "      <td>3.852147e+09</td>\n",
       "      <td>4.257253e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.170273e+11</td>\n",
       "      <td>1.349771e+11</td>\n",
       "      <td>1.710007e+11</td>\n",
       "      <td>1.372110e+11</td>\n",
       "      <td>1.612073e+11</td>\n",
       "      <td>2.000131e+11</td>\n",
       "      <td>2.090474e+11</td>\n",
       "      <td>2.097035e+11</td>\n",
       "      <td>2.135185e+11</td>\n",
       "      <td>1.668386e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Andorra</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>8.337300e+04</td>\n",
       "      <td>8.487800e+04</td>\n",
       "      <td>8.561600e+04</td>\n",
       "      <td>8.547400e+04</td>\n",
       "      <td>8.441900e+04</td>\n",
       "      <td>8.232600e+04</td>\n",
       "      <td>7.931600e+04</td>\n",
       "      <td>7.590200e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.536452e+09</td>\n",
       "      <td>4.010785e+09</td>\n",
       "      <td>4.001349e+09</td>\n",
       "      <td>3.649863e+09</td>\n",
       "      <td>3.346317e+09</td>\n",
       "      <td>3.427236e+09</td>\n",
       "      <td>3.146178e+09</td>\n",
       "      <td>3.249101e+09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Angola</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>1.854147e+07</td>\n",
       "      <td>1.918391e+07</td>\n",
       "      <td>1.984225e+07</td>\n",
       "      <td>2.052010e+07</td>\n",
       "      <td>2.121995e+07</td>\n",
       "      <td>2.194230e+07</td>\n",
       "      <td>2.268563e+07</td>\n",
       "      <td>2.344820e+07</td>\n",
       "      <td>2.422752e+07</td>\n",
       "      <td>2.502197e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>4.178948e+10</td>\n",
       "      <td>6.044892e+10</td>\n",
       "      <td>8.417803e+10</td>\n",
       "      <td>7.549238e+10</td>\n",
       "      <td>8.247091e+10</td>\n",
       "      <td>1.041159e+11</td>\n",
       "      <td>1.153984e+11</td>\n",
       "      <td>1.249121e+11</td>\n",
       "      <td>1.267751e+11</td>\n",
       "      <td>1.026431e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Antigua and Barbuda</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>8.346700e+04</td>\n",
       "      <td>8.439700e+04</td>\n",
       "      <td>8.535000e+04</td>\n",
       "      <td>8.630000e+04</td>\n",
       "      <td>8.723300e+04</td>\n",
       "      <td>8.815200e+04</td>\n",
       "      <td>8.906900e+04</td>\n",
       "      <td>8.998500e+04</td>\n",
       "      <td>9.090000e+04</td>\n",
       "      <td>9.181800e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>1.135144e+09</td>\n",
       "      <td>1.289254e+09</td>\n",
       "      <td>1.347350e+09</td>\n",
       "      <td>1.206410e+09</td>\n",
       "      <td>1.135539e+09</td>\n",
       "      <td>1.129918e+09</td>\n",
       "      <td>1.204713e+09</td>\n",
       "      <td>1.200588e+09</td>\n",
       "      <td>1.220976e+09</td>\n",
       "      <td>1.297285e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Arab World</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.155571e+08</td>\n",
       "      <td>1.188239e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>3.209067e+08</td>\n",
       "      <td>3.287666e+08</td>\n",
       "      <td>3.368865e+08</td>\n",
       "      <td>3.450542e+08</td>\n",
       "      <td>3.531122e+08</td>\n",
       "      <td>3.610318e+08</td>\n",
       "      <td>3.688026e+08</td>\n",
       "      <td>3.765043e+08</td>\n",
       "      <td>3.842226e+08</td>\n",
       "      <td>3.920223e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.552596e+10</td>\n",
       "      <td>2.817577e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.404190e+12</td>\n",
       "      <td>1.641666e+12</td>\n",
       "      <td>2.081343e+12</td>\n",
       "      <td>1.798878e+12</td>\n",
       "      <td>2.103825e+12</td>\n",
       "      <td>2.497945e+12</td>\n",
       "      <td>2.773270e+12</td>\n",
       "      <td>2.846994e+12</td>\n",
       "      <td>2.873600e+12</td>\n",
       "      <td>2.530102e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Argentina</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.128768e+07</td>\n",
       "      <td>2.162184e+07</td>\n",
       "      <td>2.195393e+07</td>\n",
       "      <td>2.228339e+07</td>\n",
       "      <td>2.260875e+07</td>\n",
       "      <td>2.293220e+07</td>\n",
       "      <td>2.326127e+07</td>\n",
       "      <td>2.360599e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.955875e+07</td>\n",
       "      <td>3.996990e+07</td>\n",
       "      <td>4.038186e+07</td>\n",
       "      <td>4.079864e+07</td>\n",
       "      <td>4.122288e+07</td>\n",
       "      <td>4.165562e+07</td>\n",
       "      <td>4.209522e+07</td>\n",
       "      <td>4.253830e+07</td>\n",
       "      <td>4.298003e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.445060e+10</td>\n",
       "      <td>1.827212e+10</td>\n",
       "      <td>2.560525e+10</td>\n",
       "      <td>2.834471e+10</td>\n",
       "      <td>2.863047e+10</td>\n",
       "      <td>2.425667e+10</td>\n",
       "      <td>2.643686e+10</td>\n",
       "      <td>3.125628e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>2.626665e+11</td>\n",
       "      <td>3.293175e+11</td>\n",
       "      <td>4.037820e+11</td>\n",
       "      <td>3.766279e+11</td>\n",
       "      <td>4.616402e+11</td>\n",
       "      <td>5.578902e+11</td>\n",
       "      <td>6.043785e+11</td>\n",
       "      <td>6.239320e+11</td>\n",
       "      <td>5.480549e+11</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Armenia</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.002161e+06</td>\n",
       "      <td>2.988117e+06</td>\n",
       "      <td>2.975029e+06</td>\n",
       "      <td>2.966108e+06</td>\n",
       "      <td>2.963496e+06</td>\n",
       "      <td>2.967984e+06</td>\n",
       "      <td>2.978339e+06</td>\n",
       "      <td>2.992192e+06</td>\n",
       "      <td>3.006154e+06</td>\n",
       "      <td>3.017712e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>6.384452e+09</td>\n",
       "      <td>9.206302e+09</td>\n",
       "      <td>1.166204e+10</td>\n",
       "      <td>8.647937e+09</td>\n",
       "      <td>9.260285e+09</td>\n",
       "      <td>1.014211e+10</td>\n",
       "      <td>1.061932e+10</td>\n",
       "      <td>1.112147e+10</td>\n",
       "      <td>1.164444e+10</td>\n",
       "      <td>1.056140e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Aruba</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>1.008300e+05</td>\n",
       "      <td>1.012180e+05</td>\n",
       "      <td>1.013420e+05</td>\n",
       "      <td>1.014160e+05</td>\n",
       "      <td>1.015970e+05</td>\n",
       "      <td>1.019360e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.421475e+09</td>\n",
       "      <td>2.623726e+09</td>\n",
       "      <td>2.791961e+09</td>\n",
       "      <td>2.498933e+09</td>\n",
       "      <td>2.467704e+09</td>\n",
       "      <td>2.584464e+09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Australia</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.027648e+07</td>\n",
       "      <td>1.048300e+07</td>\n",
       "      <td>1.074200e+07</td>\n",
       "      <td>1.095000e+07</td>\n",
       "      <td>1.116700e+07</td>\n",
       "      <td>1.138800e+07</td>\n",
       "      <td>1.165100e+07</td>\n",
       "      <td>1.179900e+07</td>\n",
       "      <td>1.200900e+07</td>\n",
       "      <td>1.226300e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.069790e+07</td>\n",
       "      <td>2.082760e+07</td>\n",
       "      <td>2.124920e+07</td>\n",
       "      <td>2.169170e+07</td>\n",
       "      <td>2.203175e+07</td>\n",
       "      <td>2.234002e+07</td>\n",
       "      <td>2.272825e+07</td>\n",
       "      <td>2.311735e+07</td>\n",
       "      <td>2.346409e+07</td>\n",
       "      <td>2.378117e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.856759e+10</td>\n",
       "      <td>1.963938e+10</td>\n",
       "      <td>1.988353e+10</td>\n",
       "      <td>2.149737e+10</td>\n",
       "      <td>2.375406e+10</td>\n",
       "      <td>2.592564e+10</td>\n",
       "      <td>2.725053e+10</td>\n",
       "      <td>3.037854e+10</td>\n",
       "      <td>3.264195e+10</td>\n",
       "      <td>3.660656e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>7.468808e+11</td>\n",
       "      <td>8.530533e+11</td>\n",
       "      <td>1.054558e+12</td>\n",
       "      <td>9.265638e+11</td>\n",
       "      <td>1.142251e+12</td>\n",
       "      <td>1.389919e+12</td>\n",
       "      <td>1.537478e+12</td>\n",
       "      <td>1.563951e+12</td>\n",
       "      <td>1.454675e+12</td>\n",
       "      <td>1.339539e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Austria</th>\n",
       "      <th>Population</th>\n",
       "      <td>7.047539e+06</td>\n",
       "      <td>7.086299e+06</td>\n",
       "      <td>7.129864e+06</td>\n",
       "      <td>7.175811e+06</td>\n",
       "      <td>7.223801e+06</td>\n",
       "      <td>7.270889e+06</td>\n",
       "      <td>7.322066e+06</td>\n",
       "      <td>7.376998e+06</td>\n",
       "      <td>7.415403e+06</td>\n",
       "      <td>7.441055e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>8.268641e+06</td>\n",
       "      <td>8.295487e+06</td>\n",
       "      <td>8.321496e+06</td>\n",
       "      <td>8.343323e+06</td>\n",
       "      <td>8.363404e+06</td>\n",
       "      <td>8.391643e+06</td>\n",
       "      <td>8.429991e+06</td>\n",
       "      <td>8.479375e+06</td>\n",
       "      <td>8.541575e+06</td>\n",
       "      <td>8.611088e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.592694e+09</td>\n",
       "      <td>7.311750e+09</td>\n",
       "      <td>7.756110e+09</td>\n",
       "      <td>8.374175e+09</td>\n",
       "      <td>9.169984e+09</td>\n",
       "      <td>9.994071e+09</td>\n",
       "      <td>1.088768e+10</td>\n",
       "      <td>1.157943e+10</td>\n",
       "      <td>1.244063e+10</td>\n",
       "      <td>1.358280e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>3.343094e+11</td>\n",
       "      <td>3.864590e+11</td>\n",
       "      <td>4.276115e+11</td>\n",
       "      <td>3.975943e+11</td>\n",
       "      <td>3.902351e+11</td>\n",
       "      <td>4.290107e+11</td>\n",
       "      <td>4.073730e+11</td>\n",
       "      <td>4.286986e+11</td>\n",
       "      <td>4.368875e+11</td>\n",
       "      <td>3.740559e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Azerbaijan</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>8.484550e+06</td>\n",
       "      <td>8.581300e+06</td>\n",
       "      <td>8.763400e+06</td>\n",
       "      <td>8.947243e+06</td>\n",
       "      <td>9.054332e+06</td>\n",
       "      <td>9.173082e+06</td>\n",
       "      <td>9.295784e+06</td>\n",
       "      <td>9.416801e+06</td>\n",
       "      <td>9.535079e+06</td>\n",
       "      <td>9.651349e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.098302e+10</td>\n",
       "      <td>3.305034e+10</td>\n",
       "      <td>4.885248e+10</td>\n",
       "      <td>4.429149e+10</td>\n",
       "      <td>5.290270e+10</td>\n",
       "      <td>6.595163e+10</td>\n",
       "      <td>6.873091e+10</td>\n",
       "      <td>7.356048e+10</td>\n",
       "      <td>7.519801e+10</td>\n",
       "      <td>5.304714e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bahamas, The</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.095260e+05</td>\n",
       "      <td>1.151080e+05</td>\n",
       "      <td>1.210830e+05</td>\n",
       "      <td>1.273310e+05</td>\n",
       "      <td>1.336970e+05</td>\n",
       "      <td>1.400490e+05</td>\n",
       "      <td>1.463640e+05</td>\n",
       "      <td>1.526070e+05</td>\n",
       "      <td>1.586290e+05</td>\n",
       "      <td>1.642500e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.358010e+05</td>\n",
       "      <td>3.422590e+05</td>\n",
       "      <td>3.485870e+05</td>\n",
       "      <td>3.547800e+05</td>\n",
       "      <td>3.608300e+05</td>\n",
       "      <td>3.667110e+05</td>\n",
       "      <td>3.723880e+05</td>\n",
       "      <td>3.778410e+05</td>\n",
       "      <td>3.830540e+05</td>\n",
       "      <td>3.880190e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.698023e+08</td>\n",
       "      <td>1.900962e+08</td>\n",
       "      <td>2.122528e+08</td>\n",
       "      <td>2.377428e+08</td>\n",
       "      <td>2.666641e+08</td>\n",
       "      <td>3.003922e+08</td>\n",
       "      <td>3.400000e+08</td>\n",
       "      <td>3.901961e+08</td>\n",
       "      <td>4.449020e+08</td>\n",
       "      <td>5.281373e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>7.965588e+09</td>\n",
       "      <td>8.318996e+09</td>\n",
       "      <td>8.246650e+09</td>\n",
       "      <td>7.820420e+09</td>\n",
       "      <td>7.909580e+09</td>\n",
       "      <td>7.889750e+09</td>\n",
       "      <td>8.234470e+09</td>\n",
       "      <td>8.431750e+09</td>\n",
       "      <td>8.510500e+09</td>\n",
       "      <td>8.884441e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bahrain</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>9.408080e+05</td>\n",
       "      <td>1.026568e+06</td>\n",
       "      <td>1.115777e+06</td>\n",
       "      <td>1.196774e+06</td>\n",
       "      <td>1.261319e+06</td>\n",
       "      <td>1.306014e+06</td>\n",
       "      <td>1.333577e+06</td>\n",
       "      <td>1.349427e+06</td>\n",
       "      <td>1.361930e+06</td>\n",
       "      <td>1.377237e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>1.850505e+10</td>\n",
       "      <td>2.173000e+10</td>\n",
       "      <td>2.571088e+10</td>\n",
       "      <td>2.293822e+10</td>\n",
       "      <td>2.571327e+10</td>\n",
       "      <td>2.904407e+10</td>\n",
       "      <td>3.075646e+10</td>\n",
       "      <td>3.289761e+10</td>\n",
       "      <td>3.385106e+10</td>\n",
       "      <td>3.222149e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United Arab Emirates</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>5.171255e+06</td>\n",
       "      <td>6.010100e+06</td>\n",
       "      <td>6.900142e+06</td>\n",
       "      <td>7.705423e+06</td>\n",
       "      <td>8.329453e+06</td>\n",
       "      <td>8.734722e+06</td>\n",
       "      <td>8.952542e+06</td>\n",
       "      <td>9.039978e+06</td>\n",
       "      <td>9.086139e+06</td>\n",
       "      <td>9.156963e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.221059e+11</td>\n",
       "      <td>2.579161e+11</td>\n",
       "      <td>3.154746e+11</td>\n",
       "      <td>2.535474e+11</td>\n",
       "      <td>2.860493e+11</td>\n",
       "      <td>3.485261e+11</td>\n",
       "      <td>3.734295e+11</td>\n",
       "      <td>3.871921e+11</td>\n",
       "      <td>3.994513e+11</td>\n",
       "      <td>3.702927e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United Kingdom</th>\n",
       "      <th>Population</th>\n",
       "      <td>5.240000e+07</td>\n",
       "      <td>5.280000e+07</td>\n",
       "      <td>5.325000e+07</td>\n",
       "      <td>5.365000e+07</td>\n",
       "      <td>5.400000e+07</td>\n",
       "      <td>5.434805e+07</td>\n",
       "      <td>5.464850e+07</td>\n",
       "      <td>5.494360e+07</td>\n",
       "      <td>5.521170e+07</td>\n",
       "      <td>5.544175e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>6.084682e+07</td>\n",
       "      <td>6.132246e+07</td>\n",
       "      <td>6.180700e+07</td>\n",
       "      <td>6.227627e+07</td>\n",
       "      <td>6.276636e+07</td>\n",
       "      <td>6.325892e+07</td>\n",
       "      <td>6.370030e+07</td>\n",
       "      <td>6.412823e+07</td>\n",
       "      <td>6.461316e+07</td>\n",
       "      <td>6.513823e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>7.232805e+10</td>\n",
       "      <td>7.669436e+10</td>\n",
       "      <td>8.060194e+10</td>\n",
       "      <td>8.544377e+10</td>\n",
       "      <td>9.338760e+10</td>\n",
       "      <td>1.005958e+11</td>\n",
       "      <td>1.070907e+11</td>\n",
       "      <td>1.111854e+11</td>\n",
       "      <td>1.047027e+11</td>\n",
       "      <td>1.126769e+11</td>\n",
       "      <td>...</td>\n",
       "      <td>2.588077e+12</td>\n",
       "      <td>2.969734e+12</td>\n",
       "      <td>2.793377e+12</td>\n",
       "      <td>2.314577e+12</td>\n",
       "      <td>2.403504e+12</td>\n",
       "      <td>2.594905e+12</td>\n",
       "      <td>2.630473e+12</td>\n",
       "      <td>2.712296e+12</td>\n",
       "      <td>2.990201e+12</td>\n",
       "      <td>2.848755e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">United States</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.806710e+08</td>\n",
       "      <td>1.836910e+08</td>\n",
       "      <td>1.865380e+08</td>\n",
       "      <td>1.892420e+08</td>\n",
       "      <td>1.918890e+08</td>\n",
       "      <td>1.943030e+08</td>\n",
       "      <td>1.965600e+08</td>\n",
       "      <td>1.987120e+08</td>\n",
       "      <td>2.007060e+08</td>\n",
       "      <td>2.026770e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>2.983799e+08</td>\n",
       "      <td>3.012312e+08</td>\n",
       "      <td>3.040940e+08</td>\n",
       "      <td>3.067715e+08</td>\n",
       "      <td>3.093469e+08</td>\n",
       "      <td>3.117189e+08</td>\n",
       "      <td>3.141026e+08</td>\n",
       "      <td>3.164274e+08</td>\n",
       "      <td>3.189074e+08</td>\n",
       "      <td>3.214188e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>5.433000e+11</td>\n",
       "      <td>5.633000e+11</td>\n",
       "      <td>6.051000e+11</td>\n",
       "      <td>6.386000e+11</td>\n",
       "      <td>6.858000e+11</td>\n",
       "      <td>7.437000e+11</td>\n",
       "      <td>8.150000e+11</td>\n",
       "      <td>8.617000e+11</td>\n",
       "      <td>9.425000e+11</td>\n",
       "      <td>1.019900e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>1.385589e+13</td>\n",
       "      <td>1.447764e+13</td>\n",
       "      <td>1.471858e+13</td>\n",
       "      <td>1.441874e+13</td>\n",
       "      <td>1.496437e+13</td>\n",
       "      <td>1.551793e+13</td>\n",
       "      <td>1.615526e+13</td>\n",
       "      <td>1.666316e+13</td>\n",
       "      <td>1.734807e+13</td>\n",
       "      <td>1.794700e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Upper middle income</th>\n",
       "      <th>Population</th>\n",
       "      <td>1.154592e+09</td>\n",
       "      <td>1.159145e+09</td>\n",
       "      <td>1.176093e+09</td>\n",
       "      <td>1.204372e+09</td>\n",
       "      <td>1.232266e+09</td>\n",
       "      <td>1.261069e+09</td>\n",
       "      <td>1.292755e+09</td>\n",
       "      <td>1.323615e+09</td>\n",
       "      <td>1.355381e+09</td>\n",
       "      <td>1.388827e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>2.380136e+09</td>\n",
       "      <td>2.397567e+09</td>\n",
       "      <td>2.415306e+09</td>\n",
       "      <td>2.433652e+09</td>\n",
       "      <td>2.452055e+09</td>\n",
       "      <td>2.470971e+09</td>\n",
       "      <td>2.490586e+09</td>\n",
       "      <td>2.510573e+09</td>\n",
       "      <td>2.530632e+09</td>\n",
       "      <td>2.550326e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.854612e+11</td>\n",
       "      <td>1.690732e+11</td>\n",
       "      <td>1.777957e+11</td>\n",
       "      <td>1.955819e+11</td>\n",
       "      <td>2.144250e+11</td>\n",
       "      <td>2.397244e+11</td>\n",
       "      <td>2.666625e+11</td>\n",
       "      <td>2.766866e+11</td>\n",
       "      <td>2.898954e+11</td>\n",
       "      <td>3.221882e+11</td>\n",
       "      <td>...</td>\n",
       "      <td>8.620784e+12</td>\n",
       "      <td>1.073130e+13</td>\n",
       "      <td>1.312644e+13</td>\n",
       "      <td>1.263584e+13</td>\n",
       "      <td>1.530029e+13</td>\n",
       "      <td>1.829801e+13</td>\n",
       "      <td>1.955543e+13</td>\n",
       "      <td>2.080729e+13</td>\n",
       "      <td>2.133305e+13</td>\n",
       "      <td>1.973288e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Uruguay</th>\n",
       "      <th>Population</th>\n",
       "      <td>2.538651e+06</td>\n",
       "      <td>2.571691e+06</td>\n",
       "      <td>2.603887e+06</td>\n",
       "      <td>2.635128e+06</td>\n",
       "      <td>2.665387e+06</td>\n",
       "      <td>2.694535e+06</td>\n",
       "      <td>2.722874e+06</td>\n",
       "      <td>2.750093e+06</td>\n",
       "      <td>2.774771e+06</td>\n",
       "      <td>2.795044e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.331041e+06</td>\n",
       "      <td>3.339750e+06</td>\n",
       "      <td>3.350832e+06</td>\n",
       "      <td>3.362761e+06</td>\n",
       "      <td>3.374414e+06</td>\n",
       "      <td>3.385610e+06</td>\n",
       "      <td>3.396753e+06</td>\n",
       "      <td>3.407969e+06</td>\n",
       "      <td>3.419516e+06</td>\n",
       "      <td>3.431555e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.242289e+09</td>\n",
       "      <td>1.547389e+09</td>\n",
       "      <td>1.710004e+09</td>\n",
       "      <td>1.539682e+09</td>\n",
       "      <td>1.975702e+09</td>\n",
       "      <td>1.890769e+09</td>\n",
       "      <td>1.809184e+09</td>\n",
       "      <td>1.597721e+09</td>\n",
       "      <td>1.593675e+09</td>\n",
       "      <td>2.004435e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.957946e+10</td>\n",
       "      <td>2.341057e+10</td>\n",
       "      <td>3.036621e+10</td>\n",
       "      <td>3.166091e+10</td>\n",
       "      <td>4.028468e+10</td>\n",
       "      <td>4.796244e+10</td>\n",
       "      <td>5.126540e+10</td>\n",
       "      <td>5.753123e+10</td>\n",
       "      <td>5.723577e+10</td>\n",
       "      <td>5.344270e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Uzbekistan</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.648825e+07</td>\n",
       "      <td>2.686800e+07</td>\n",
       "      <td>2.730280e+07</td>\n",
       "      <td>2.776740e+07</td>\n",
       "      <td>2.856240e+07</td>\n",
       "      <td>2.933940e+07</td>\n",
       "      <td>2.977450e+07</td>\n",
       "      <td>3.024320e+07</td>\n",
       "      <td>3.075770e+07</td>\n",
       "      <td>3.129950e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>1.703090e+10</td>\n",
       "      <td>2.231139e+10</td>\n",
       "      <td>2.793403e+10</td>\n",
       "      <td>3.281683e+10</td>\n",
       "      <td>3.933277e+10</td>\n",
       "      <td>4.532432e+10</td>\n",
       "      <td>5.118344e+10</td>\n",
       "      <td>5.679566e+10</td>\n",
       "      <td>6.313285e+10</td>\n",
       "      <td>6.673280e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Vanuatu</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.146350e+05</td>\n",
       "      <td>2.199560e+05</td>\n",
       "      <td>2.253350e+05</td>\n",
       "      <td>2.307820e+05</td>\n",
       "      <td>2.362990e+05</td>\n",
       "      <td>2.418760e+05</td>\n",
       "      <td>2.474980e+05</td>\n",
       "      <td>2.531650e+05</td>\n",
       "      <td>2.588830e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>4.393768e+08</td>\n",
       "      <td>5.264283e+08</td>\n",
       "      <td>6.079586e+08</td>\n",
       "      <td>6.100666e+08</td>\n",
       "      <td>7.008043e+08</td>\n",
       "      <td>7.921497e+08</td>\n",
       "      <td>7.817029e+08</td>\n",
       "      <td>8.017876e+08</td>\n",
       "      <td>8.149546e+08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Venezuela, RB</th>\n",
       "      <th>Population</th>\n",
       "      <td>8.146845e+06</td>\n",
       "      <td>8.461684e+06</td>\n",
       "      <td>8.790590e+06</td>\n",
       "      <td>9.130346e+06</td>\n",
       "      <td>9.476255e+06</td>\n",
       "      <td>9.824694e+06</td>\n",
       "      <td>1.017514e+07</td>\n",
       "      <td>1.052805e+07</td>\n",
       "      <td>1.088200e+07</td>\n",
       "      <td>1.123549e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>2.722123e+07</td>\n",
       "      <td>2.767066e+07</td>\n",
       "      <td>2.811672e+07</td>\n",
       "      <td>2.855861e+07</td>\n",
       "      <td>2.899574e+07</td>\n",
       "      <td>2.942763e+07</td>\n",
       "      <td>2.985424e+07</td>\n",
       "      <td>3.027604e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>8.607600e+09</td>\n",
       "      <td>8.923367e+09</td>\n",
       "      <td>9.873398e+09</td>\n",
       "      <td>1.066338e+10</td>\n",
       "      <td>9.113581e+09</td>\n",
       "      <td>9.602945e+09</td>\n",
       "      <td>1.009657e+10</td>\n",
       "      <td>1.047278e+10</td>\n",
       "      <td>1.147091e+10</td>\n",
       "      <td>1.192757e+10</td>\n",
       "      <td>...</td>\n",
       "      <td>1.834775e+11</td>\n",
       "      <td>2.303642e+11</td>\n",
       "      <td>3.156002e+11</td>\n",
       "      <td>3.294190e+11</td>\n",
       "      <td>3.938015e+11</td>\n",
       "      <td>3.164822e+11</td>\n",
       "      <td>3.812862e+11</td>\n",
       "      <td>3.713366e+11</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Vietnam</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>8.331120e+07</td>\n",
       "      <td>8.421850e+07</td>\n",
       "      <td>8.511870e+07</td>\n",
       "      <td>8.602500e+07</td>\n",
       "      <td>8.693250e+07</td>\n",
       "      <td>8.786030e+07</td>\n",
       "      <td>8.880920e+07</td>\n",
       "      <td>8.975950e+07</td>\n",
       "      <td>9.072890e+07</td>\n",
       "      <td>9.170380e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>6.637166e+10</td>\n",
       "      <td>7.741443e+10</td>\n",
       "      <td>9.913030e+10</td>\n",
       "      <td>1.060146e+11</td>\n",
       "      <td>1.159317e+11</td>\n",
       "      <td>1.355395e+11</td>\n",
       "      <td>1.558200e+11</td>\n",
       "      <td>1.712220e+11</td>\n",
       "      <td>1.862047e+11</td>\n",
       "      <td>1.935994e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Virgin Islands (U.S.)</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.200000e+04</td>\n",
       "      <td>3.410000e+04</td>\n",
       "      <td>3.630000e+04</td>\n",
       "      <td>3.870000e+04</td>\n",
       "      <td>4.130000e+04</td>\n",
       "      <td>4.400000e+04</td>\n",
       "      <td>4.730000e+04</td>\n",
       "      <td>5.080000e+04</td>\n",
       "      <td>5.460000e+04</td>\n",
       "      <td>5.860000e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>2.420000e+07</td>\n",
       "      <td>2.570000e+07</td>\n",
       "      <td>3.690000e+07</td>\n",
       "      <td>4.140000e+07</td>\n",
       "      <td>5.380000e+07</td>\n",
       "      <td>6.650000e+07</td>\n",
       "      <td>8.410000e+07</td>\n",
       "      <td>1.154000e+08</td>\n",
       "      <td>1.738000e+08</td>\n",
       "      <td>2.113000e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">West Bank and Gaza</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.406334e+06</td>\n",
       "      <td>3.494496e+06</td>\n",
       "      <td>3.596688e+06</td>\n",
       "      <td>3.702218e+06</td>\n",
       "      <td>3.811102e+06</td>\n",
       "      <td>3.927051e+06</td>\n",
       "      <td>4.046901e+06</td>\n",
       "      <td>4.169506e+06</td>\n",
       "      <td>4.294682e+06</td>\n",
       "      <td>4.422143e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>4.910100e+09</td>\n",
       "      <td>5.505800e+09</td>\n",
       "      <td>6.673500e+09</td>\n",
       "      <td>7.268200e+09</td>\n",
       "      <td>8.913100e+09</td>\n",
       "      <td>1.045985e+10</td>\n",
       "      <td>1.127940e+10</td>\n",
       "      <td>1.247600e+10</td>\n",
       "      <td>1.271560e+10</td>\n",
       "      <td>1.267740e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">World</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.035056e+09</td>\n",
       "      <td>3.076121e+09</td>\n",
       "      <td>3.129064e+09</td>\n",
       "      <td>3.193947e+09</td>\n",
       "      <td>3.259355e+09</td>\n",
       "      <td>3.326054e+09</td>\n",
       "      <td>3.395866e+09</td>\n",
       "      <td>3.465297e+09</td>\n",
       "      <td>3.535512e+09</td>\n",
       "      <td>3.609910e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>6.594722e+09</td>\n",
       "      <td>6.675833e+09</td>\n",
       "      <td>6.758303e+09</td>\n",
       "      <td>6.840956e+09</td>\n",
       "      <td>6.923684e+09</td>\n",
       "      <td>7.006908e+09</td>\n",
       "      <td>7.089452e+09</td>\n",
       "      <td>7.176092e+09</td>\n",
       "      <td>7.260780e+09</td>\n",
       "      <td>7.346633e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.364643e+12</td>\n",
       "      <td>1.420440e+12</td>\n",
       "      <td>1.524573e+12</td>\n",
       "      <td>1.638187e+12</td>\n",
       "      <td>1.799675e+12</td>\n",
       "      <td>1.959900e+12</td>\n",
       "      <td>2.125397e+12</td>\n",
       "      <td>2.262923e+12</td>\n",
       "      <td>2.440549e+12</td>\n",
       "      <td>2.686747e+12</td>\n",
       "      <td>...</td>\n",
       "      <td>5.107451e+13</td>\n",
       "      <td>5.758343e+13</td>\n",
       "      <td>6.312856e+13</td>\n",
       "      <td>5.983553e+13</td>\n",
       "      <td>6.564782e+13</td>\n",
       "      <td>7.284314e+13</td>\n",
       "      <td>7.442836e+13</td>\n",
       "      <td>7.643132e+13</td>\n",
       "      <td>7.810634e+13</td>\n",
       "      <td>7.343364e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Yemen, Rep.</th>\n",
       "      <th>Population</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.109397e+07</td>\n",
       "      <td>2.170110e+07</td>\n",
       "      <td>2.232270e+07</td>\n",
       "      <td>2.295423e+07</td>\n",
       "      <td>2.359197e+07</td>\n",
       "      <td>2.423494e+07</td>\n",
       "      <td>2.488279e+07</td>\n",
       "      <td>2.553322e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>1.908173e+10</td>\n",
       "      <td>2.563367e+10</td>\n",
       "      <td>3.039720e+10</td>\n",
       "      <td>2.845950e+10</td>\n",
       "      <td>3.090675e+10</td>\n",
       "      <td>3.107886e+10</td>\n",
       "      <td>3.207477e+10</td>\n",
       "      <td>3.595450e+10</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Zambia</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.049586e+06</td>\n",
       "      <td>3.142848e+06</td>\n",
       "      <td>3.240664e+06</td>\n",
       "      <td>3.342894e+06</td>\n",
       "      <td>3.449266e+06</td>\n",
       "      <td>3.559687e+06</td>\n",
       "      <td>3.674088e+06</td>\n",
       "      <td>3.792864e+06</td>\n",
       "      <td>3.916928e+06</td>\n",
       "      <td>4.047479e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.238151e+07</td>\n",
       "      <td>1.273868e+07</td>\n",
       "      <td>1.311458e+07</td>\n",
       "      <td>1.350785e+07</td>\n",
       "      <td>1.391744e+07</td>\n",
       "      <td>1.434353e+07</td>\n",
       "      <td>1.478658e+07</td>\n",
       "      <td>1.524609e+07</td>\n",
       "      <td>1.572134e+07</td>\n",
       "      <td>1.621177e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>6.987397e+08</td>\n",
       "      <td>6.823597e+08</td>\n",
       "      <td>6.792797e+08</td>\n",
       "      <td>7.043397e+08</td>\n",
       "      <td>8.226397e+08</td>\n",
       "      <td>1.061200e+09</td>\n",
       "      <td>1.239000e+09</td>\n",
       "      <td>1.340639e+09</td>\n",
       "      <td>1.573739e+09</td>\n",
       "      <td>1.926399e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>1.275686e+10</td>\n",
       "      <td>1.405696e+10</td>\n",
       "      <td>1.791086e+10</td>\n",
       "      <td>1.532834e+10</td>\n",
       "      <td>2.026555e+10</td>\n",
       "      <td>2.345952e+10</td>\n",
       "      <td>2.550306e+10</td>\n",
       "      <td>2.804552e+10</td>\n",
       "      <td>2.713464e+10</td>\n",
       "      <td>2.120156e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Zimbabwe</th>\n",
       "      <th>Population</th>\n",
       "      <td>3.752390e+06</td>\n",
       "      <td>3.876638e+06</td>\n",
       "      <td>4.006262e+06</td>\n",
       "      <td>4.140804e+06</td>\n",
       "      <td>4.279561e+06</td>\n",
       "      <td>4.422132e+06</td>\n",
       "      <td>4.568320e+06</td>\n",
       "      <td>4.718612e+06</td>\n",
       "      <td>4.874113e+06</td>\n",
       "      <td>5.036321e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.312794e+07</td>\n",
       "      <td>1.329780e+07</td>\n",
       "      <td>1.349546e+07</td>\n",
       "      <td>1.372100e+07</td>\n",
       "      <td>1.397390e+07</td>\n",
       "      <td>1.425559e+07</td>\n",
       "      <td>1.456548e+07</td>\n",
       "      <td>1.489809e+07</td>\n",
       "      <td>1.524586e+07</td>\n",
       "      <td>1.560275e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.052990e+09</td>\n",
       "      <td>1.096647e+09</td>\n",
       "      <td>1.117602e+09</td>\n",
       "      <td>1.159512e+09</td>\n",
       "      <td>1.217138e+09</td>\n",
       "      <td>1.311436e+09</td>\n",
       "      <td>1.281750e+09</td>\n",
       "      <td>1.397002e+09</td>\n",
       "      <td>1.479600e+09</td>\n",
       "      <td>1.747999e+09</td>\n",
       "      <td>...</td>\n",
       "      <td>5.443896e+09</td>\n",
       "      <td>5.291950e+09</td>\n",
       "      <td>4.415703e+09</td>\n",
       "      <td>8.157077e+09</td>\n",
       "      <td>9.422161e+09</td>\n",
       "      <td>1.095623e+10</td>\n",
       "      <td>1.239272e+10</td>\n",
       "      <td>1.349023e+10</td>\n",
       "      <td>1.419691e+10</td>\n",
       "      <td>1.389294e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>504 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "year                                      1960          1961          1962  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  8.994793e+06  9.164945e+06  9.343772e+06   \n",
       "                      GDP         5.377778e+08  5.488889e+08  5.466667e+08   \n",
       "Albania               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Algeria               Population  1.112489e+07  1.140486e+07  1.169015e+07   \n",
       "                      GDP         2.723638e+09  2.434767e+09  2.001461e+09   \n",
       "Andorra               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Angola                Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Antigua and Barbuda   Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Arab World            Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Argentina             Population  0.000000e+00  0.000000e+00  2.128768e+07   \n",
       "                      GDP         0.000000e+00  0.000000e+00  2.445060e+10   \n",
       "Armenia               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Aruba                 Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Australia             Population  1.027648e+07  1.048300e+07  1.074200e+07   \n",
       "                      GDP         1.856759e+10  1.963938e+10  1.988353e+10   \n",
       "Austria               Population  7.047539e+06  7.086299e+06  7.129864e+06   \n",
       "                      GDP         6.592694e+09  7.311750e+09  7.756110e+09   \n",
       "Azerbaijan            Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Bahamas, The          Population  1.095260e+05  1.151080e+05  1.210830e+05   \n",
       "                      GDP         1.698023e+08  1.900962e+08  2.122528e+08   \n",
       "Bahrain               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "United Kingdom        Population  5.240000e+07  5.280000e+07  5.325000e+07   \n",
       "                      GDP         7.232805e+10  7.669436e+10  8.060194e+10   \n",
       "United States         Population  1.806710e+08  1.836910e+08  1.865380e+08   \n",
       "                      GDP         5.433000e+11  5.633000e+11  6.051000e+11   \n",
       "Upper middle income   Population  1.154592e+09  1.159145e+09  1.176093e+09   \n",
       "                      GDP         1.854612e+11  1.690732e+11  1.777957e+11   \n",
       "Uruguay               Population  2.538651e+06  2.571691e+06  2.603887e+06   \n",
       "                      GDP         1.242289e+09  1.547389e+09  1.710004e+09   \n",
       "Uzbekistan            Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Vanuatu               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Venezuela, RB         Population  8.146845e+06  8.461684e+06  8.790590e+06   \n",
       "                      GDP         8.607600e+09  8.923367e+09  9.873398e+09   \n",
       "Vietnam               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Virgin Islands (U.S.) Population  3.200000e+04  3.410000e+04  3.630000e+04   \n",
       "                      GDP         2.420000e+07  2.570000e+07  3.690000e+07   \n",
       "West Bank and Gaza    Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "World                 Population  3.035056e+09  3.076121e+09  3.129064e+09   \n",
       "                      GDP         1.364643e+12  1.420440e+12  1.524573e+12   \n",
       "Yemen, Rep.           Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Zambia                Population  3.049586e+06  3.142848e+06  3.240664e+06   \n",
       "                      GDP         6.987397e+08  6.823597e+08  6.792797e+08   \n",
       "Zimbabwe              Population  3.752390e+06  3.876638e+06  4.006262e+06   \n",
       "                      GDP         1.052990e+09  1.096647e+09  1.117602e+09   \n",
       "\n",
       "year                                      1963          1964          1965  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  9.531555e+06  9.728645e+06  9.935358e+06   \n",
       "                      GDP         7.511112e+08  8.000000e+08  1.006667e+09   \n",
       "Albania               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Algeria               Population  1.198513e+07  1.229597e+07  1.262695e+07   \n",
       "                      GDP         2.703004e+09  2.909340e+09  3.136284e+09   \n",
       "Andorra               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Angola                Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Antigua and Barbuda   Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Arab World            Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Argentina             Population  2.162184e+07  2.195393e+07  2.228339e+07   \n",
       "                      GDP         1.827212e+10  2.560525e+10  2.834471e+10   \n",
       "Armenia               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Aruba                 Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Australia             Population  1.095000e+07  1.116700e+07  1.138800e+07   \n",
       "                      GDP         2.149737e+10  2.375406e+10  2.592564e+10   \n",
       "Austria               Population  7.175811e+06  7.223801e+06  7.270889e+06   \n",
       "                      GDP         8.374175e+09  9.169984e+09  9.994071e+09   \n",
       "Azerbaijan            Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Bahamas, The          Population  1.273310e+05  1.336970e+05  1.400490e+05   \n",
       "                      GDP         2.377428e+08  2.666641e+08  3.003922e+08   \n",
       "Bahrain               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "United Kingdom        Population  5.365000e+07  5.400000e+07  5.434805e+07   \n",
       "                      GDP         8.544377e+10  9.338760e+10  1.005958e+11   \n",
       "United States         Population  1.892420e+08  1.918890e+08  1.943030e+08   \n",
       "                      GDP         6.386000e+11  6.858000e+11  7.437000e+11   \n",
       "Upper middle income   Population  1.204372e+09  1.232266e+09  1.261069e+09   \n",
       "                      GDP         1.955819e+11  2.144250e+11  2.397244e+11   \n",
       "Uruguay               Population  2.635128e+06  2.665387e+06  2.694535e+06   \n",
       "                      GDP         1.539682e+09  1.975702e+09  1.890769e+09   \n",
       "Uzbekistan            Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Vanuatu               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Venezuela, RB         Population  9.130346e+06  9.476255e+06  9.824694e+06   \n",
       "                      GDP         1.066338e+10  9.113581e+09  9.602945e+09   \n",
       "Vietnam               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Virgin Islands (U.S.) Population  3.870000e+04  4.130000e+04  4.400000e+04   \n",
       "                      GDP         4.140000e+07  5.380000e+07  6.650000e+07   \n",
       "West Bank and Gaza    Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "World                 Population  3.193947e+09  3.259355e+09  3.326054e+09   \n",
       "                      GDP         1.638187e+12  1.799675e+12  1.959900e+12   \n",
       "Yemen, Rep.           Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Zambia                Population  3.342894e+06  3.449266e+06  3.559687e+06   \n",
       "                      GDP         7.043397e+08  8.226397e+08  1.061200e+09   \n",
       "Zimbabwe              Population  4.140804e+06  4.279561e+06  4.422132e+06   \n",
       "                      GDP         1.159512e+09  1.217138e+09  1.311436e+09   \n",
       "\n",
       "year                                      1966          1967          1968  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  1.014884e+07  1.036860e+07  1.059979e+07   \n",
       "                      GDP         1.400000e+09  1.673333e+09  1.373333e+09   \n",
       "Albania               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Algeria               Population  1.298027e+07  1.335420e+07  1.374438e+07   \n",
       "                      GDP         3.039859e+09  3.370870e+09  3.852147e+09   \n",
       "Andorra               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Angola                Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Antigua and Barbuda   Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Arab World            Population  0.000000e+00  0.000000e+00  1.155571e+08   \n",
       "                      GDP         0.000000e+00  0.000000e+00  2.552596e+10   \n",
       "Argentina             Population  2.260875e+07  2.293220e+07  2.326127e+07   \n",
       "                      GDP         2.863047e+10  2.425667e+10  2.643686e+10   \n",
       "Armenia               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Aruba                 Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Australia             Population  1.165100e+07  1.179900e+07  1.200900e+07   \n",
       "                      GDP         2.725053e+10  3.037854e+10  3.264195e+10   \n",
       "Austria               Population  7.322066e+06  7.376998e+06  7.415403e+06   \n",
       "                      GDP         1.088768e+10  1.157943e+10  1.244063e+10   \n",
       "Azerbaijan            Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Bahamas, The          Population  1.463640e+05  1.526070e+05  1.586290e+05   \n",
       "                      GDP         3.400000e+08  3.901961e+08  4.449020e+08   \n",
       "Bahrain               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "United Kingdom        Population  5.464850e+07  5.494360e+07  5.521170e+07   \n",
       "                      GDP         1.070907e+11  1.111854e+11  1.047027e+11   \n",
       "United States         Population  1.965600e+08  1.987120e+08  2.007060e+08   \n",
       "                      GDP         8.150000e+11  8.617000e+11  9.425000e+11   \n",
       "Upper middle income   Population  1.292755e+09  1.323615e+09  1.355381e+09   \n",
       "                      GDP         2.666625e+11  2.766866e+11  2.898954e+11   \n",
       "Uruguay               Population  2.722874e+06  2.750093e+06  2.774771e+06   \n",
       "                      GDP         1.809184e+09  1.597721e+09  1.593675e+09   \n",
       "Uzbekistan            Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Vanuatu               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Venezuela, RB         Population  1.017514e+07  1.052805e+07  1.088200e+07   \n",
       "                      GDP         1.009657e+10  1.047278e+10  1.147091e+10   \n",
       "Vietnam               Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Virgin Islands (U.S.) Population  4.730000e+04  5.080000e+04  5.460000e+04   \n",
       "                      GDP         8.410000e+07  1.154000e+08  1.738000e+08   \n",
       "West Bank and Gaza    Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "World                 Population  3.395866e+09  3.465297e+09  3.535512e+09   \n",
       "                      GDP         2.125397e+12  2.262923e+12  2.440549e+12   \n",
       "Yemen, Rep.           Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "Zambia                Population  3.674088e+06  3.792864e+06  3.916928e+06   \n",
       "                      GDP         1.239000e+09  1.340639e+09  1.573739e+09   \n",
       "Zimbabwe              Population  4.568320e+06  4.718612e+06  4.874113e+06   \n",
       "                      GDP         1.281750e+09  1.397002e+09  1.479600e+09   \n",
       "\n",
       "year                                      1969  ...          2006  \\\n",
       "country                                         ...                 \n",
       "Afghanistan           Population  1.084951e+07  ...  2.518362e+07   \n",
       "                      GDP         1.408889e+09  ...  7.057598e+09   \n",
       "Albania               Population  0.000000e+00  ...  2.992547e+06   \n",
       "                      GDP         0.000000e+00  ...  8.992642e+09   \n",
       "Algeria               Population  1.414444e+07  ...  3.374933e+07   \n",
       "                      GDP         4.257253e+09  ...  1.170273e+11   \n",
       "Andorra               Population  0.000000e+00  ...  8.337300e+04   \n",
       "                      GDP         0.000000e+00  ...  3.536452e+09   \n",
       "Angola                Population  0.000000e+00  ...  1.854147e+07   \n",
       "                      GDP         0.000000e+00  ...  4.178948e+10   \n",
       "Antigua and Barbuda   Population  0.000000e+00  ...  8.346700e+04   \n",
       "                      GDP         0.000000e+00  ...  1.135144e+09   \n",
       "Arab World            Population  1.188239e+08  ...  3.209067e+08   \n",
       "                      GDP         2.817577e+10  ...  1.404190e+12   \n",
       "Argentina             Population  2.360599e+07  ...  3.955875e+07   \n",
       "                      GDP         3.125628e+10  ...  2.626665e+11   \n",
       "Armenia               Population  0.000000e+00  ...  3.002161e+06   \n",
       "                      GDP         0.000000e+00  ...  6.384452e+09   \n",
       "Aruba                 Population  0.000000e+00  ...  1.008300e+05   \n",
       "                      GDP         0.000000e+00  ...  2.421475e+09   \n",
       "Australia             Population  1.226300e+07  ...  2.069790e+07   \n",
       "                      GDP         3.660656e+10  ...  7.468808e+11   \n",
       "Austria               Population  7.441055e+06  ...  8.268641e+06   \n",
       "                      GDP         1.358280e+10  ...  3.343094e+11   \n",
       "Azerbaijan            Population  0.000000e+00  ...  8.484550e+06   \n",
       "                      GDP         0.000000e+00  ...  2.098302e+10   \n",
       "Bahamas, The          Population  1.642500e+05  ...  3.358010e+05   \n",
       "                      GDP         5.281373e+08  ...  7.965588e+09   \n",
       "Bahrain               Population  0.000000e+00  ...  9.408080e+05   \n",
       "                      GDP         0.000000e+00  ...  1.850505e+10   \n",
       "...                                        ...  ...           ...   \n",
       "United Arab Emirates  Population  0.000000e+00  ...  5.171255e+06   \n",
       "                      GDP         0.000000e+00  ...  2.221059e+11   \n",
       "United Kingdom        Population  5.544175e+07  ...  6.084682e+07   \n",
       "                      GDP         1.126769e+11  ...  2.588077e+12   \n",
       "United States         Population  2.026770e+08  ...  2.983799e+08   \n",
       "                      GDP         1.019900e+12  ...  1.385589e+13   \n",
       "Upper middle income   Population  1.388827e+09  ...  2.380136e+09   \n",
       "                      GDP         3.221882e+11  ...  8.620784e+12   \n",
       "Uruguay               Population  2.795044e+06  ...  3.331041e+06   \n",
       "                      GDP         2.004435e+09  ...  1.957946e+10   \n",
       "Uzbekistan            Population  0.000000e+00  ...  2.648825e+07   \n",
       "                      GDP         0.000000e+00  ...  1.703090e+10   \n",
       "Vanuatu               Population  0.000000e+00  ...  2.146350e+05   \n",
       "                      GDP         0.000000e+00  ...  4.393768e+08   \n",
       "Venezuela, RB         Population  1.123549e+07  ...  2.722123e+07   \n",
       "                      GDP         1.192757e+10  ...  1.834775e+11   \n",
       "Vietnam               Population  0.000000e+00  ...  8.331120e+07   \n",
       "                      GDP         0.000000e+00  ...  6.637166e+10   \n",
       "Virgin Islands (U.S.) Population  5.860000e+04  ...  0.000000e+00   \n",
       "                      GDP         2.113000e+08  ...  0.000000e+00   \n",
       "West Bank and Gaza    Population  0.000000e+00  ...  3.406334e+06   \n",
       "                      GDP         0.000000e+00  ...  4.910100e+09   \n",
       "World                 Population  3.609910e+09  ...  6.594722e+09   \n",
       "                      GDP         2.686747e+12  ...  5.107451e+13   \n",
       "Yemen, Rep.           Population  0.000000e+00  ...  2.109397e+07   \n",
       "                      GDP         0.000000e+00  ...  1.908173e+10   \n",
       "Zambia                Population  4.047479e+06  ...  1.238151e+07   \n",
       "                      GDP         1.926399e+09  ...  1.275686e+10   \n",
       "Zimbabwe              Population  5.036321e+06  ...  1.312794e+07   \n",
       "                      GDP         1.747999e+09  ...  5.443896e+09   \n",
       "\n",
       "year                                      2007          2008          2009  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  2.587754e+07  2.652874e+07  2.720729e+07   \n",
       "                      GDP         9.843842e+09  1.019053e+10  1.248694e+10   \n",
       "Albania               Population  2.970017e+06  2.947314e+06  2.927519e+06   \n",
       "                      GDP         1.070101e+10  1.288135e+10  1.204421e+10   \n",
       "Algeria               Population  3.426197e+07  3.481106e+07  3.540179e+07   \n",
       "                      GDP         1.349771e+11  1.710007e+11  1.372110e+11   \n",
       "Andorra               Population  8.487800e+04  8.561600e+04  8.547400e+04   \n",
       "                      GDP         4.010785e+09  4.001349e+09  3.649863e+09   \n",
       "Angola                Population  1.918391e+07  1.984225e+07  2.052010e+07   \n",
       "                      GDP         6.044892e+10  8.417803e+10  7.549238e+10   \n",
       "Antigua and Barbuda   Population  8.439700e+04  8.535000e+04  8.630000e+04   \n",
       "                      GDP         1.289254e+09  1.347350e+09  1.206410e+09   \n",
       "Arab World            Population  3.287666e+08  3.368865e+08  3.450542e+08   \n",
       "                      GDP         1.641666e+12  2.081343e+12  1.798878e+12   \n",
       "Argentina             Population  3.996990e+07  4.038186e+07  4.079864e+07   \n",
       "                      GDP         3.293175e+11  4.037820e+11  3.766279e+11   \n",
       "Armenia               Population  2.988117e+06  2.975029e+06  2.966108e+06   \n",
       "                      GDP         9.206302e+09  1.166204e+10  8.647937e+09   \n",
       "Aruba                 Population  1.012180e+05  1.013420e+05  1.014160e+05   \n",
       "                      GDP         2.623726e+09  2.791961e+09  2.498933e+09   \n",
       "Australia             Population  2.082760e+07  2.124920e+07  2.169170e+07   \n",
       "                      GDP         8.530533e+11  1.054558e+12  9.265638e+11   \n",
       "Austria               Population  8.295487e+06  8.321496e+06  8.343323e+06   \n",
       "                      GDP         3.864590e+11  4.276115e+11  3.975943e+11   \n",
       "Azerbaijan            Population  8.581300e+06  8.763400e+06  8.947243e+06   \n",
       "                      GDP         3.305034e+10  4.885248e+10  4.429149e+10   \n",
       "Bahamas, The          Population  3.422590e+05  3.485870e+05  3.547800e+05   \n",
       "                      GDP         8.318996e+09  8.246650e+09  7.820420e+09   \n",
       "Bahrain               Population  1.026568e+06  1.115777e+06  1.196774e+06   \n",
       "                      GDP         2.173000e+10  2.571088e+10  2.293822e+10   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  6.010100e+06  6.900142e+06  7.705423e+06   \n",
       "                      GDP         2.579161e+11  3.154746e+11  2.535474e+11   \n",
       "United Kingdom        Population  6.132246e+07  6.180700e+07  6.227627e+07   \n",
       "                      GDP         2.969734e+12  2.793377e+12  2.314577e+12   \n",
       "United States         Population  3.012312e+08  3.040940e+08  3.067715e+08   \n",
       "                      GDP         1.447764e+13  1.471858e+13  1.441874e+13   \n",
       "Upper middle income   Population  2.397567e+09  2.415306e+09  2.433652e+09   \n",
       "                      GDP         1.073130e+13  1.312644e+13  1.263584e+13   \n",
       "Uruguay               Population  3.339750e+06  3.350832e+06  3.362761e+06   \n",
       "                      GDP         2.341057e+10  3.036621e+10  3.166091e+10   \n",
       "Uzbekistan            Population  2.686800e+07  2.730280e+07  2.776740e+07   \n",
       "                      GDP         2.231139e+10  2.793403e+10  3.281683e+10   \n",
       "Vanuatu               Population  2.199560e+05  2.253350e+05  2.307820e+05   \n",
       "                      GDP         5.264283e+08  6.079586e+08  6.100666e+08   \n",
       "Venezuela, RB         Population  2.767066e+07  2.811672e+07  2.855861e+07   \n",
       "                      GDP         2.303642e+11  3.156002e+11  3.294190e+11   \n",
       "Vietnam               Population  8.421850e+07  8.511870e+07  8.602500e+07   \n",
       "                      GDP         7.741443e+10  9.913030e+10  1.060146e+11   \n",
       "Virgin Islands (U.S.) Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "West Bank and Gaza    Population  3.494496e+06  3.596688e+06  3.702218e+06   \n",
       "                      GDP         5.505800e+09  6.673500e+09  7.268200e+09   \n",
       "World                 Population  6.675833e+09  6.758303e+09  6.840956e+09   \n",
       "                      GDP         5.758343e+13  6.312856e+13  5.983553e+13   \n",
       "Yemen, Rep.           Population  2.170110e+07  2.232270e+07  2.295423e+07   \n",
       "                      GDP         2.563367e+10  3.039720e+10  2.845950e+10   \n",
       "Zambia                Population  1.273868e+07  1.311458e+07  1.350785e+07   \n",
       "                      GDP         1.405696e+10  1.791086e+10  1.532834e+10   \n",
       "Zimbabwe              Population  1.329780e+07  1.349546e+07  1.372100e+07   \n",
       "                      GDP         5.291950e+09  4.415703e+09  8.157077e+09   \n",
       "\n",
       "year                                      2010          2011          2012  \\\n",
       "country                                                                      \n",
       "Afghanistan           Population  2.796221e+07  2.880917e+07  2.972680e+07   \n",
       "                      GDP         1.593680e+10  1.793024e+10  2.053654e+10   \n",
       "Albania               Population  2.913021e+06  2.904780e+06  2.900247e+06   \n",
       "                      GDP         1.192695e+10  1.289087e+10  1.231978e+10   \n",
       "Algeria               Population  3.603616e+07  3.671713e+07  3.743943e+07   \n",
       "                      GDP         1.612073e+11  2.000131e+11  2.090474e+11   \n",
       "Andorra               Population  8.441900e+04  8.232600e+04  7.931600e+04   \n",
       "                      GDP         3.346317e+09  3.427236e+09  3.146178e+09   \n",
       "Angola                Population  2.121995e+07  2.194230e+07  2.268563e+07   \n",
       "                      GDP         8.247091e+10  1.041159e+11  1.153984e+11   \n",
       "Antigua and Barbuda   Population  8.723300e+04  8.815200e+04  8.906900e+04   \n",
       "                      GDP         1.135539e+09  1.129918e+09  1.204713e+09   \n",
       "Arab World            Population  3.531122e+08  3.610318e+08  3.688026e+08   \n",
       "                      GDP         2.103825e+12  2.497945e+12  2.773270e+12   \n",
       "Argentina             Population  4.122288e+07  4.165562e+07  4.209522e+07   \n",
       "                      GDP         4.616402e+11  5.578902e+11  6.043785e+11   \n",
       "Armenia               Population  2.963496e+06  2.967984e+06  2.978339e+06   \n",
       "                      GDP         9.260285e+09  1.014211e+10  1.061932e+10   \n",
       "Aruba                 Population  1.015970e+05  1.019360e+05  0.000000e+00   \n",
       "                      GDP         2.467704e+09  2.584464e+09  0.000000e+00   \n",
       "Australia             Population  2.203175e+07  2.234002e+07  2.272825e+07   \n",
       "                      GDP         1.142251e+12  1.389919e+12  1.537478e+12   \n",
       "Austria               Population  8.363404e+06  8.391643e+06  8.429991e+06   \n",
       "                      GDP         3.902351e+11  4.290107e+11  4.073730e+11   \n",
       "Azerbaijan            Population  9.054332e+06  9.173082e+06  9.295784e+06   \n",
       "                      GDP         5.290270e+10  6.595163e+10  6.873091e+10   \n",
       "Bahamas, The          Population  3.608300e+05  3.667110e+05  3.723880e+05   \n",
       "                      GDP         7.909580e+09  7.889750e+09  8.234470e+09   \n",
       "Bahrain               Population  1.261319e+06  1.306014e+06  1.333577e+06   \n",
       "                      GDP         2.571327e+10  2.904407e+10  3.075646e+10   \n",
       "...                                        ...           ...           ...   \n",
       "United Arab Emirates  Population  8.329453e+06  8.734722e+06  8.952542e+06   \n",
       "                      GDP         2.860493e+11  3.485261e+11  3.734295e+11   \n",
       "United Kingdom        Population  6.276636e+07  6.325892e+07  6.370030e+07   \n",
       "                      GDP         2.403504e+12  2.594905e+12  2.630473e+12   \n",
       "United States         Population  3.093469e+08  3.117189e+08  3.141026e+08   \n",
       "                      GDP         1.496437e+13  1.551793e+13  1.615526e+13   \n",
       "Upper middle income   Population  2.452055e+09  2.470971e+09  2.490586e+09   \n",
       "                      GDP         1.530029e+13  1.829801e+13  1.955543e+13   \n",
       "Uruguay               Population  3.374414e+06  3.385610e+06  3.396753e+06   \n",
       "                      GDP         4.028468e+10  4.796244e+10  5.126540e+10   \n",
       "Uzbekistan            Population  2.856240e+07  2.933940e+07  2.977450e+07   \n",
       "                      GDP         3.933277e+10  4.532432e+10  5.118344e+10   \n",
       "Vanuatu               Population  2.362990e+05  2.418760e+05  2.474980e+05   \n",
       "                      GDP         7.008043e+08  7.921497e+08  7.817029e+08   \n",
       "Venezuela, RB         Population  2.899574e+07  2.942763e+07  2.985424e+07   \n",
       "                      GDP         3.938015e+11  3.164822e+11  3.812862e+11   \n",
       "Vietnam               Population  8.693250e+07  8.786030e+07  8.880920e+07   \n",
       "                      GDP         1.159317e+11  1.355395e+11  1.558200e+11   \n",
       "Virgin Islands (U.S.) Population  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "West Bank and Gaza    Population  3.811102e+06  3.927051e+06  4.046901e+06   \n",
       "                      GDP         8.913100e+09  1.045985e+10  1.127940e+10   \n",
       "World                 Population  6.923684e+09  7.006908e+09  7.089452e+09   \n",
       "                      GDP         6.564782e+13  7.284314e+13  7.442836e+13   \n",
       "Yemen, Rep.           Population  2.359197e+07  2.423494e+07  2.488279e+07   \n",
       "                      GDP         3.090675e+10  3.107886e+10  3.207477e+10   \n",
       "Zambia                Population  1.391744e+07  1.434353e+07  1.478658e+07   \n",
       "                      GDP         2.026555e+10  2.345952e+10  2.550306e+10   \n",
       "Zimbabwe              Population  1.397390e+07  1.425559e+07  1.456548e+07   \n",
       "                      GDP         9.422161e+09  1.095623e+10  1.239272e+10   \n",
       "\n",
       "year                                      2013          2014          2015  \n",
       "country                                                                     \n",
       "Afghanistan           Population  3.068250e+07  3.162751e+07  3.252656e+07  \n",
       "                      GDP         2.004633e+10  2.005019e+10  1.919944e+10  \n",
       "Albania               Population  2.896652e+06  2.893654e+06  2.889167e+06  \n",
       "                      GDP         1.278103e+10  1.327796e+10  1.145560e+10  \n",
       "Algeria               Population  3.818614e+07  3.893433e+07  3.966652e+07  \n",
       "                      GDP         2.097035e+11  2.135185e+11  1.668386e+11  \n",
       "Andorra               Population  7.590200e+04  0.000000e+00  0.000000e+00  \n",
       "                      GDP         3.249101e+09  0.000000e+00  0.000000e+00  \n",
       "Angola                Population  2.344820e+07  2.422752e+07  2.502197e+07  \n",
       "                      GDP         1.249121e+11  1.267751e+11  1.026431e+11  \n",
       "Antigua and Barbuda   Population  8.998500e+04  9.090000e+04  9.181800e+04  \n",
       "                      GDP         1.200588e+09  1.220976e+09  1.297285e+09  \n",
       "Arab World            Population  3.765043e+08  3.842226e+08  3.920223e+08  \n",
       "                      GDP         2.846994e+12  2.873600e+12  2.530102e+12  \n",
       "Argentina             Population  4.253830e+07  4.298003e+07  0.000000e+00  \n",
       "                      GDP         6.239320e+11  5.480549e+11  0.000000e+00  \n",
       "Armenia               Population  2.992192e+06  3.006154e+06  3.017712e+06  \n",
       "                      GDP         1.112147e+10  1.164444e+10  1.056140e+10  \n",
       "Aruba                 Population  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "Australia             Population  2.311735e+07  2.346409e+07  2.378117e+07  \n",
       "                      GDP         1.563951e+12  1.454675e+12  1.339539e+12  \n",
       "Austria               Population  8.479375e+06  8.541575e+06  8.611088e+06  \n",
       "                      GDP         4.286986e+11  4.368875e+11  3.740559e+11  \n",
       "Azerbaijan            Population  9.416801e+06  9.535079e+06  9.651349e+06  \n",
       "                      GDP         7.356048e+10  7.519801e+10  5.304714e+10  \n",
       "Bahamas, The          Population  3.778410e+05  3.830540e+05  3.880190e+05  \n",
       "                      GDP         8.431750e+09  8.510500e+09  8.884441e+09  \n",
       "Bahrain               Population  1.349427e+06  1.361930e+06  1.377237e+06  \n",
       "                      GDP         3.289761e+10  3.385106e+10  3.222149e+10  \n",
       "...                                        ...           ...           ...  \n",
       "United Arab Emirates  Population  9.039978e+06  9.086139e+06  9.156963e+06  \n",
       "                      GDP         3.871921e+11  3.994513e+11  3.702927e+11  \n",
       "United Kingdom        Population  6.412823e+07  6.461316e+07  6.513823e+07  \n",
       "                      GDP         2.712296e+12  2.990201e+12  2.848755e+12  \n",
       "United States         Population  3.164274e+08  3.189074e+08  3.214188e+08  \n",
       "                      GDP         1.666316e+13  1.734807e+13  1.794700e+13  \n",
       "Upper middle income   Population  2.510573e+09  2.530632e+09  2.550326e+09  \n",
       "                      GDP         2.080729e+13  2.133305e+13  1.973288e+13  \n",
       "Uruguay               Population  3.407969e+06  3.419516e+06  3.431555e+06  \n",
       "                      GDP         5.753123e+10  5.723577e+10  5.344270e+10  \n",
       "Uzbekistan            Population  3.024320e+07  3.075770e+07  3.129950e+07  \n",
       "                      GDP         5.679566e+10  6.313285e+10  6.673280e+10  \n",
       "Vanuatu               Population  2.531650e+05  2.588830e+05  0.000000e+00  \n",
       "                      GDP         8.017876e+08  8.149546e+08  0.000000e+00  \n",
       "Venezuela, RB         Population  3.027604e+07  0.000000e+00  0.000000e+00  \n",
       "                      GDP         3.713366e+11  0.000000e+00  0.000000e+00  \n",
       "Vietnam               Population  8.975950e+07  9.072890e+07  9.170380e+07  \n",
       "                      GDP         1.712220e+11  1.862047e+11  1.935994e+11  \n",
       "Virgin Islands (U.S.) Population  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "                      GDP         0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "West Bank and Gaza    Population  4.169506e+06  4.294682e+06  4.422143e+06  \n",
       "                      GDP         1.247600e+10  1.271560e+10  1.267740e+10  \n",
       "World                 Population  7.176092e+09  7.260780e+09  7.346633e+09  \n",
       "                      GDP         7.643132e+13  7.810634e+13  7.343364e+13  \n",
       "Yemen, Rep.           Population  2.553322e+07  0.000000e+00  0.000000e+00  \n",
       "                      GDP         3.595450e+10  0.000000e+00  0.000000e+00  \n",
       "Zambia                Population  1.524609e+07  1.572134e+07  1.621177e+07  \n",
       "                      GDP         2.804552e+10  2.713464e+10  2.120156e+10  \n",
       "Zimbabwe              Population  1.489809e+07  1.524586e+07  1.560275e+07  \n",
       "                      GDP         1.349023e+10  1.419691e+10  1.389294e+10  \n",
       "\n",
       "[504 rows x 56 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unstack('year',fill_value=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pivot method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Salesman</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Bob</td>\n",
       "      <td>7172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>Bob</td>\n",
       "      <td>6362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>Bob</td>\n",
       "      <td>5982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>Bob</td>\n",
       "      <td>7917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-05</td>\n",
       "      <td>Bob</td>\n",
       "      <td>7837</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date Salesman  Revenue\n",
       "0 2016-01-01      Bob     7172\n",
       "1 2016-01-02      Bob     6362\n",
       "2 2016-01-03      Bob     5982\n",
       "3 2016-01-04      Bob     7917\n",
       "4 2016-01-05      Bob     7837"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales = pd.read_csv('salesmen.csv',parse_dates = [\"Date\"])\n",
    "sales['Salesman'] = sales['Salesman'].astype('category')\n",
    "sales.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Salesman</th>\n",
       "      <th>Bob</th>\n",
       "      <th>Dave</th>\n",
       "      <th>Jeb</th>\n",
       "      <th>Oscar</th>\n",
       "      <th>Ronald</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>7172</td>\n",
       "      <td>1864</td>\n",
       "      <td>4430</td>\n",
       "      <td>5250</td>\n",
       "      <td>2639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-02</th>\n",
       "      <td>6362</td>\n",
       "      <td>8278</td>\n",
       "      <td>8026</td>\n",
       "      <td>8661</td>\n",
       "      <td>4951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-03</th>\n",
       "      <td>5982</td>\n",
       "      <td>4226</td>\n",
       "      <td>5188</td>\n",
       "      <td>7075</td>\n",
       "      <td>2703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-04</th>\n",
       "      <td>7917</td>\n",
       "      <td>3868</td>\n",
       "      <td>3144</td>\n",
       "      <td>2524</td>\n",
       "      <td>4258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>7837</td>\n",
       "      <td>2287</td>\n",
       "      <td>938</td>\n",
       "      <td>2793</td>\n",
       "      <td>7771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>1744</td>\n",
       "      <td>7859</td>\n",
       "      <td>8702</td>\n",
       "      <td>7794</td>\n",
       "      <td>5930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>918</td>\n",
       "      <td>8597</td>\n",
       "      <td>4250</td>\n",
       "      <td>9728</td>\n",
       "      <td>1933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>9863</td>\n",
       "      <td>3092</td>\n",
       "      <td>9719</td>\n",
       "      <td>5263</td>\n",
       "      <td>5709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-09</th>\n",
       "      <td>8337</td>\n",
       "      <td>1794</td>\n",
       "      <td>5614</td>\n",
       "      <td>7144</td>\n",
       "      <td>4707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-10</th>\n",
       "      <td>7543</td>\n",
       "      <td>7105</td>\n",
       "      <td>301</td>\n",
       "      <td>7663</td>\n",
       "      <td>8267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>1053</td>\n",
       "      <td>6851</td>\n",
       "      <td>9489</td>\n",
       "      <td>8888</td>\n",
       "      <td>1340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-12</th>\n",
       "      <td>4362</td>\n",
       "      <td>7147</td>\n",
       "      <td>8719</td>\n",
       "      <td>3092</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-13</th>\n",
       "      <td>6812</td>\n",
       "      <td>6160</td>\n",
       "      <td>2349</td>\n",
       "      <td>6139</td>\n",
       "      <td>7540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-14</th>\n",
       "      <td>9047</td>\n",
       "      <td>7533</td>\n",
       "      <td>7690</td>\n",
       "      <td>5235</td>\n",
       "      <td>4214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-15</th>\n",
       "      <td>3594</td>\n",
       "      <td>9883</td>\n",
       "      <td>6917</td>\n",
       "      <td>5507</td>\n",
       "      <td>5346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-16</th>\n",
       "      <td>9800</td>\n",
       "      <td>3622</td>\n",
       "      <td>474</td>\n",
       "      <td>4947</td>\n",
       "      <td>9636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-17</th>\n",
       "      <td>7215</td>\n",
       "      <td>4565</td>\n",
       "      <td>8963</td>\n",
       "      <td>3325</td>\n",
       "      <td>6058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-18</th>\n",
       "      <td>7744</td>\n",
       "      <td>8246</td>\n",
       "      <td>2351</td>\n",
       "      <td>2611</td>\n",
       "      <td>3602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-19</th>\n",
       "      <td>9560</td>\n",
       "      <td>9229</td>\n",
       "      <td>5512</td>\n",
       "      <td>1905</td>\n",
       "      <td>316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-20</th>\n",
       "      <td>9863</td>\n",
       "      <td>8358</td>\n",
       "      <td>9509</td>\n",
       "      <td>6005</td>\n",
       "      <td>9352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21</th>\n",
       "      <td>547</td>\n",
       "      <td>4229</td>\n",
       "      <td>2453</td>\n",
       "      <td>2798</td>\n",
       "      <td>6781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-22</th>\n",
       "      <td>3505</td>\n",
       "      <td>4417</td>\n",
       "      <td>2875</td>\n",
       "      <td>879</td>\n",
       "      <td>5166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-23</th>\n",
       "      <td>6969</td>\n",
       "      <td>358</td>\n",
       "      <td>8853</td>\n",
       "      <td>4245</td>\n",
       "      <td>2479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-24</th>\n",
       "      <td>696</td>\n",
       "      <td>7817</td>\n",
       "      <td>6705</td>\n",
       "      <td>3798</td>\n",
       "      <td>4835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-25</th>\n",
       "      <td>4302</td>\n",
       "      <td>6354</td>\n",
       "      <td>2882</td>\n",
       "      <td>1143</td>\n",
       "      <td>9750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-26</th>\n",
       "      <td>9427</td>\n",
       "      <td>7544</td>\n",
       "      <td>1009</td>\n",
       "      <td>871</td>\n",
       "      <td>8738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-27</th>\n",
       "      <td>7990</td>\n",
       "      <td>2255</td>\n",
       "      <td>4020</td>\n",
       "      <td>2403</td>\n",
       "      <td>1768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-28</th>\n",
       "      <td>6271</td>\n",
       "      <td>3419</td>\n",
       "      <td>1735</td>\n",
       "      <td>3691</td>\n",
       "      <td>7264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-29</th>\n",
       "      <td>5804</td>\n",
       "      <td>1378</td>\n",
       "      <td>6477</td>\n",
       "      <td>418</td>\n",
       "      <td>8545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-30</th>\n",
       "      <td>3285</td>\n",
       "      <td>6456</td>\n",
       "      <td>2253</td>\n",
       "      <td>7776</td>\n",
       "      <td>658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-02</th>\n",
       "      <td>5570</td>\n",
       "      <td>9842</td>\n",
       "      <td>982</td>\n",
       "      <td>5589</td>\n",
       "      <td>5956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-03</th>\n",
       "      <td>7910</td>\n",
       "      <td>4284</td>\n",
       "      <td>9363</td>\n",
       "      <td>6009</td>\n",
       "      <td>2252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-04</th>\n",
       "      <td>2869</td>\n",
       "      <td>8389</td>\n",
       "      <td>5980</td>\n",
       "      <td>537</td>\n",
       "      <td>1484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-05</th>\n",
       "      <td>4013</td>\n",
       "      <td>3089</td>\n",
       "      <td>8999</td>\n",
       "      <td>3895</td>\n",
       "      <td>2867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-06</th>\n",
       "      <td>1695</td>\n",
       "      <td>9142</td>\n",
       "      <td>4896</td>\n",
       "      <td>3060</td>\n",
       "      <td>5734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-07</th>\n",
       "      <td>1010</td>\n",
       "      <td>3707</td>\n",
       "      <td>4634</td>\n",
       "      <td>295</td>\n",
       "      <td>5409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-08</th>\n",
       "      <td>1149</td>\n",
       "      <td>3073</td>\n",
       "      <td>5930</td>\n",
       "      <td>5038</td>\n",
       "      <td>9951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-09</th>\n",
       "      <td>4432</td>\n",
       "      <td>6820</td>\n",
       "      <td>8592</td>\n",
       "      <td>258</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-10</th>\n",
       "      <td>194</td>\n",
       "      <td>3938</td>\n",
       "      <td>3530</td>\n",
       "      <td>9392</td>\n",
       "      <td>8713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-11</th>\n",
       "      <td>7676</td>\n",
       "      <td>8805</td>\n",
       "      <td>1134</td>\n",
       "      <td>690</td>\n",
       "      <td>5843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-12</th>\n",
       "      <td>7290</td>\n",
       "      <td>3917</td>\n",
       "      <td>9004</td>\n",
       "      <td>5621</td>\n",
       "      <td>4524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-13</th>\n",
       "      <td>7253</td>\n",
       "      <td>9168</td>\n",
       "      <td>8031</td>\n",
       "      <td>3284</td>\n",
       "      <td>5193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-14</th>\n",
       "      <td>9777</td>\n",
       "      <td>2632</td>\n",
       "      <td>3162</td>\n",
       "      <td>2245</td>\n",
       "      <td>8161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-15</th>\n",
       "      <td>7933</td>\n",
       "      <td>2051</td>\n",
       "      <td>4408</td>\n",
       "      <td>3449</td>\n",
       "      <td>9557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-16</th>\n",
       "      <td>6742</td>\n",
       "      <td>1148</td>\n",
       "      <td>3020</td>\n",
       "      <td>1763</td>\n",
       "      <td>2318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-17</th>\n",
       "      <td>5641</td>\n",
       "      <td>8921</td>\n",
       "      <td>6126</td>\n",
       "      <td>1641</td>\n",
       "      <td>9042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-18</th>\n",
       "      <td>8445</td>\n",
       "      <td>9203</td>\n",
       "      <td>5843</td>\n",
       "      <td>1022</td>\n",
       "      <td>7979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-19</th>\n",
       "      <td>3065</td>\n",
       "      <td>4255</td>\n",
       "      <td>8136</td>\n",
       "      <td>3366</td>\n",
       "      <td>2734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-20</th>\n",
       "      <td>3864</td>\n",
       "      <td>7209</td>\n",
       "      <td>2082</td>\n",
       "      <td>364</td>\n",
       "      <td>5757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-21</th>\n",
       "      <td>4080</td>\n",
       "      <td>1335</td>\n",
       "      <td>5940</td>\n",
       "      <td>3579</td>\n",
       "      <td>359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-22</th>\n",
       "      <td>5294</td>\n",
       "      <td>6986</td>\n",
       "      <td>4389</td>\n",
       "      <td>6476</td>\n",
       "      <td>825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-23</th>\n",
       "      <td>5063</td>\n",
       "      <td>5507</td>\n",
       "      <td>9</td>\n",
       "      <td>6495</td>\n",
       "      <td>9210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-24</th>\n",
       "      <td>1731</td>\n",
       "      <td>5520</td>\n",
       "      <td>8230</td>\n",
       "      <td>9346</td>\n",
       "      <td>4114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-25</th>\n",
       "      <td>8325</td>\n",
       "      <td>4004</td>\n",
       "      <td>6569</td>\n",
       "      <td>8321</td>\n",
       "      <td>7490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-26</th>\n",
       "      <td>6664</td>\n",
       "      <td>3211</td>\n",
       "      <td>1572</td>\n",
       "      <td>6172</td>\n",
       "      <td>6170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-27</th>\n",
       "      <td>2045</td>\n",
       "      <td>2843</td>\n",
       "      <td>6666</td>\n",
       "      <td>835</td>\n",
       "      <td>2981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-28</th>\n",
       "      <td>100</td>\n",
       "      <td>8888</td>\n",
       "      <td>1243</td>\n",
       "      <td>3073</td>\n",
       "      <td>6129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-29</th>\n",
       "      <td>4115</td>\n",
       "      <td>9490</td>\n",
       "      <td>3498</td>\n",
       "      <td>6424</td>\n",
       "      <td>7662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30</th>\n",
       "      <td>2577</td>\n",
       "      <td>3594</td>\n",
       "      <td>8858</td>\n",
       "      <td>7088</td>\n",
       "      <td>2570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>3845</td>\n",
       "      <td>6830</td>\n",
       "      <td>9717</td>\n",
       "      <td>8408</td>\n",
       "      <td>2619</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Salesman     Bob  Dave   Jeb  Oscar  Ronald\n",
       "Date                                       \n",
       "2016-01-01  7172  1864  4430   5250    2639\n",
       "2016-01-02  6362  8278  8026   8661    4951\n",
       "2016-01-03  5982  4226  5188   7075    2703\n",
       "2016-01-04  7917  3868  3144   2524    4258\n",
       "2016-01-05  7837  2287   938   2793    7771\n",
       "2016-01-06  1744  7859  8702   7794    5930\n",
       "2016-01-07   918  8597  4250   9728    1933\n",
       "2016-01-08  9863  3092  9719   5263    5709\n",
       "2016-01-09  8337  1794  5614   7144    4707\n",
       "2016-01-10  7543  7105   301   7663    8267\n",
       "2016-01-11  1053  6851  9489   8888    1340\n",
       "2016-01-12  4362  7147  8719   3092     279\n",
       "2016-01-13  6812  6160  2349   6139    7540\n",
       "2016-01-14  9047  7533  7690   5235    4214\n",
       "2016-01-15  3594  9883  6917   5507    5346\n",
       "2016-01-16  9800  3622   474   4947    9636\n",
       "2016-01-17  7215  4565  8963   3325    6058\n",
       "2016-01-18  7744  8246  2351   2611    3602\n",
       "2016-01-19  9560  9229  5512   1905     316\n",
       "2016-01-20  9863  8358  9509   6005    9352\n",
       "2016-01-21   547  4229  2453   2798    6781\n",
       "2016-01-22  3505  4417  2875    879    5166\n",
       "2016-01-23  6969   358  8853   4245    2479\n",
       "2016-01-24   696  7817  6705   3798    4835\n",
       "2016-01-25  4302  6354  2882   1143    9750\n",
       "2016-01-26  9427  7544  1009    871    8738\n",
       "2016-01-27  7990  2255  4020   2403    1768\n",
       "2016-01-28  6271  3419  1735   3691    7264\n",
       "2016-01-29  5804  1378  6477    418    8545\n",
       "2016-01-30  3285  6456  2253   7776     658\n",
       "...          ...   ...   ...    ...     ...\n",
       "2016-12-02  5570  9842   982   5589    5956\n",
       "2016-12-03  7910  4284  9363   6009    2252\n",
       "2016-12-04  2869  8389  5980    537    1484\n",
       "2016-12-05  4013  3089  8999   3895    2867\n",
       "2016-12-06  1695  9142  4896   3060    5734\n",
       "2016-12-07  1010  3707  4634    295    5409\n",
       "2016-12-08  1149  3073  5930   5038    9951\n",
       "2016-12-09  4432  6820  8592    258      96\n",
       "2016-12-10   194  3938  3530   9392    8713\n",
       "2016-12-11  7676  8805  1134    690    5843\n",
       "2016-12-12  7290  3917  9004   5621    4524\n",
       "2016-12-13  7253  9168  8031   3284    5193\n",
       "2016-12-14  9777  2632  3162   2245    8161\n",
       "2016-12-15  7933  2051  4408   3449    9557\n",
       "2016-12-16  6742  1148  3020   1763    2318\n",
       "2016-12-17  5641  8921  6126   1641    9042\n",
       "2016-12-18  8445  9203  5843   1022    7979\n",
       "2016-12-19  3065  4255  8136   3366    2734\n",
       "2016-12-20  3864  7209  2082    364    5757\n",
       "2016-12-21  4080  1335  5940   3579     359\n",
       "2016-12-22  5294  6986  4389   6476     825\n",
       "2016-12-23  5063  5507     9   6495    9210\n",
       "2016-12-24  1731  5520  8230   9346    4114\n",
       "2016-12-25  8325  4004  6569   8321    7490\n",
       "2016-12-26  6664  3211  1572   6172    6170\n",
       "2016-12-27  2045  2843  6666    835    2981\n",
       "2016-12-28   100  8888  1243   3073    6129\n",
       "2016-12-29  4115  9490  3498   6424    7662\n",
       "2016-12-30  2577  3594  8858   7088    2570\n",
       "2016-12-31  3845  6830  9717   8408    2619\n",
       "\n",
       "[366 rows x 5 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.pivot(index=\"Date\",columns=\"Salesman\",values= \"Revenue\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "366"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(sales.pivot(index=\"Date\",columns=\"Salesman\",values= \"Revenue\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## pivot table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "foods = pd.read_csv('foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>City</th>\n",
       "      <th>Frequency</th>\n",
       "      <th>Item</th>\n",
       "      <th>Spend</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wanda</td>\n",
       "      <td>Female</td>\n",
       "      <td>Stamford</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>15.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Eric</td>\n",
       "      <td>Male</td>\n",
       "      <td>Stamford</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Chalupa</td>\n",
       "      <td>10.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Charles</td>\n",
       "      <td>Male</td>\n",
       "      <td>New York</td>\n",
       "      <td>Never</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>42.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Anna</td>\n",
       "      <td>Female</td>\n",
       "      <td>Philadelphia</td>\n",
       "      <td>Once</td>\n",
       "      <td>Ice Cream</td>\n",
       "      <td>11.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Deborah</td>\n",
       "      <td>Female</td>\n",
       "      <td>Philadelphia</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Chalupa</td>\n",
       "      <td>23.49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  First Name  Gender          City Frequency       Item  Spend\n",
       "0      Wanda  Female      Stamford    Weekly     Burger  15.66\n",
       "1       Eric    Male      Stamford     Daily    Chalupa  10.56\n",
       "2    Charles    Male      New York     Never      Sushi  42.14\n",
       "3       Anna  Female  Philadelphia      Once  Ice Cream  11.01\n",
       "4    Deborah  Female  Philadelphia     Daily    Chalupa  23.49"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foods.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Spend</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Female</th>\n",
       "      <td>50.709629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>49.397623</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Spend\n",
       "Gender           \n",
       "Female  50.709629\n",
       "Male    49.397623"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foods.pivot_table(values=\"Spend\",index = \"Gender\",aggfunc=\"mean\",)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Spend</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <th>Item</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Female</th>\n",
       "      <th>Burger</th>\n",
       "      <td>49.930488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>50.092000</td>\n",
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       "    <tr>\n",
       "      <th>Chalupa</th>\n",
       "      <td>54.635000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donut</th>\n",
       "      <td>49.926316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>49.788519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>50.355699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Male</th>\n",
       "      <th>Burger</th>\n",
       "      <td>49.613919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>48.344819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chalupa</th>\n",
       "      <td>49.186761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donut</th>\n",
       "      <td>43.649565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>51.096000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>55.614384</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Spend\n",
       "Gender Item                \n",
       "Female Burger     49.930488\n",
       "       Burrito    50.092000\n",
       "       Chalupa    54.635000\n",
       "       Donut      49.926316\n",
       "       Ice Cream  49.788519\n",
       "       Sushi      50.355699\n",
       "Male   Burger     49.613919\n",
       "       Burrito    48.344819\n",
       "       Chalupa    49.186761\n",
       "       Donut      43.649565\n",
       "       Ice Cream  51.096000\n",
       "       Sushi      55.614384"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foods.pivot_table(values=\"Spend\",index = [\"Gender\",\"Item\"],aggfunc=\"mean\",)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>New York</th>\n",
       "      <th>Philadelphia</th>\n",
       "      <th>Stamford</th>\n",
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       "    <tr>\n",
       "      <th>Gender</th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Female</th>\n",
       "      <th>Burger</th>\n",
       "      <td>51.626667</td>\n",
       "      <td>52.878710</td>\n",
       "      <td>45.037778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>42.563043</td>\n",
       "      <td>52.098571</td>\n",
       "      <td>53.532647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chalupa</th>\n",
       "      <td>46.135789</td>\n",
       "      <td>52.291563</td>\n",
       "      <td>64.094000</td>\n",
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       "    <tr>\n",
       "      <th>Donut</th>\n",
       "      <td>46.670323</td>\n",
       "      <td>54.642000</td>\n",
       "      <td>48.734118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>56.356296</td>\n",
       "      <td>46.225625</td>\n",
       "      <td>46.910455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>47.751290</td>\n",
       "      <td>58.096000</td>\n",
       "      <td>45.622187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Male</th>\n",
       "      <th>Burger</th>\n",
       "      <td>58.822273</td>\n",
       "      <td>44.675238</td>\n",
       "      <td>46.424516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>55.976000</td>\n",
       "      <td>43.764333</td>\n",
       "      <td>46.438929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chalupa</th>\n",
       "      <td>49.110800</td>\n",
       "      <td>48.444783</td>\n",
       "      <td>50.011304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donut</th>\n",
       "      <td>44.842333</td>\n",
       "      <td>37.859394</td>\n",
       "      <td>49.004483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>55.297586</td>\n",
       "      <td>53.445610</td>\n",
       "      <td>42.368800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>51.709259</td>\n",
       "      <td>49.852857</td>\n",
       "      <td>70.434444</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "City               New York  Philadelphia   Stamford\n",
       "Gender Item                                         \n",
       "Female Burger     51.626667     52.878710  45.037778\n",
       "       Burrito    42.563043     52.098571  53.532647\n",
       "       Chalupa    46.135789     52.291563  64.094000\n",
       "       Donut      46.670323     54.642000  48.734118\n",
       "       Ice Cream  56.356296     46.225625  46.910455\n",
       "       Sushi      47.751290     58.096000  45.622187\n",
       "Male   Burger     58.822273     44.675238  46.424516\n",
       "       Burrito    55.976000     43.764333  46.438929\n",
       "       Chalupa    49.110800     48.444783  50.011304\n",
       "       Donut      44.842333     37.859394  49.004483\n",
       "       Ice Cream  55.297586     53.445610  42.368800\n",
       "       Sushi      51.709259     49.852857  70.434444"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foods.pivot_table(values=\"Spend\",index = [\"Gender\",\"Item\"],columns=\"City\",aggfunc=\"mean\",)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>New York</th>\n",
       "      <th>Philadelphia</th>\n",
       "      <th>Stamford</th>\n",
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       "      <th>Gender</th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Female</th>\n",
       "      <th>Burger</th>\n",
       "      <td>98.96</td>\n",
       "      <td>97.79</td>\n",
       "      <td>85.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>92.25</td>\n",
       "      <td>96.79</td>\n",
       "      <td>99.21</td>\n",
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       "    <tr>\n",
       "      <th>Chalupa</th>\n",
       "      <td>98.43</td>\n",
       "      <td>99.29</td>\n",
       "      <td>98.78</td>\n",
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       "      <th>Donut</th>\n",
       "      <td>95.63</td>\n",
       "      <td>96.52</td>\n",
       "      <td>91.75</td>\n",
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       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>97.83</td>\n",
       "      <td>88.14</td>\n",
       "      <td>97.44</td>\n",
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       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>99.51</td>\n",
       "      <td>99.02</td>\n",
       "      <td>95.43</td>\n",
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       "      <th rowspan=\"6\" valign=\"top\">Male</th>\n",
       "      <th>Burger</th>\n",
       "      <td>90.32</td>\n",
       "      <td>99.68</td>\n",
       "      <td>97.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>98.04</td>\n",
       "      <td>93.27</td>\n",
       "      <td>95.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chalupa</th>\n",
       "      <td>96.44</td>\n",
       "      <td>98.40</td>\n",
       "      <td>99.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donut</th>\n",
       "      <td>86.70</td>\n",
       "      <td>93.12</td>\n",
       "      <td>99.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>97.65</td>\n",
       "      <td>99.24</td>\n",
       "      <td>99.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>93.85</td>\n",
       "      <td>97.12</td>\n",
       "      <td>98.48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "City              New York  Philadelphia  Stamford\n",
       "Gender Item                                       \n",
       "Female Burger        98.96         97.79     85.06\n",
       "       Burrito       92.25         96.79     99.21\n",
       "       Chalupa       98.43         99.29     98.78\n",
       "       Donut         95.63         96.52     91.75\n",
       "       Ice Cream     97.83         88.14     97.44\n",
       "       Sushi         99.51         99.02     95.43\n",
       "Male   Burger        90.32         99.68     97.20\n",
       "       Burrito       98.04         93.27     95.07\n",
       "       Chalupa       96.44         98.40     99.87\n",
       "       Donut         86.70         93.12     99.26\n",
       "       Ice Cream     97.65         99.24     99.17\n",
       "       Sushi         93.85         97.12     98.48"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foods.pivot_table(values=\"Spend\",index = [\"Gender\",\"Item\"],columns=\"City\",aggfunc=\"max\",)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
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       "      <th>New York</th>\n",
       "      <th>Philadelphia</th>\n",
       "      <th>Stamford</th>\n",
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       "      <th rowspan=\"6\" valign=\"top\">Female</th>\n",
       "      <th>Burger</th>\n",
       "      <td>2.25</td>\n",
       "      <td>1.97</td>\n",
       "      <td>6.24</td>\n",
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       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>1.02</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.18</td>\n",
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       "    <tr>\n",
       "      <th>Chalupa</th>\n",
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       "      <th>Donut</th>\n",
       "      <td>3.15</td>\n",
       "      <td>2.13</td>\n",
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       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>13.39</td>\n",
       "      <td>7.61</td>\n",
       "      <td>8.80</td>\n",
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       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>2.52</td>\n",
       "      <td>11.68</td>\n",
       "      <td>8.20</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Male</th>\n",
       "      <th>Burger</th>\n",
       "      <td>5.43</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>15.90</td>\n",
       "      <td>8.58</td>\n",
       "      <td>3.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chalupa</th>\n",
       "      <td>11.61</td>\n",
       "      <td>1.94</td>\n",
       "      <td>10.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donut</th>\n",
       "      <td>1.49</td>\n",
       "      <td>1.26</td>\n",
       "      <td>6.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>14.06</td>\n",
       "      <td>4.89</td>\n",
       "      <td>3.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>3.28</td>\n",
       "      <td>2.01</td>\n",
       "      <td>32.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "City              New York  Philadelphia  Stamford\n",
       "Gender Item                                       \n",
       "Female Burger         2.25          1.97      6.24\n",
       "       Burrito        1.02          1.04      1.18\n",
       "       Chalupa        1.96          9.35      9.09\n",
       "       Donut          3.15          2.13      1.68\n",
       "       Ice Cream     13.39          7.61      8.80\n",
       "       Sushi          2.52         11.68      8.20\n",
       "Male   Burger         5.43          1.71      2.83\n",
       "       Burrito       15.90          8.58      3.64\n",
       "       Chalupa       11.61          1.94     10.56\n",
       "       Donut          1.49          1.26      6.63\n",
       "       Ice Cream     14.06          4.89      3.43\n",
       "       Sushi          3.28          2.01     32.15"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foods.pivot_table(values=\"Spend\",index = [\"Gender\",\"Item\"],columns=\"City\",aggfunc=\"min\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>City</th>\n",
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       "      <th rowspan=\"6\" valign=\"top\">Female</th>\n",
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       "    <tr>\n",
       "      <th>Donut</th>\n",
       "      <td>3.15</td>\n",
       "      <td>2.13</td>\n",
       "      <td>1.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>13.39</td>\n",
       "      <td>7.61</td>\n",
       "      <td>8.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>2.52</td>\n",
       "      <td>11.68</td>\n",
       "      <td>8.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Male</th>\n",
       "      <th>Burger</th>\n",
       "      <td>5.43</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrito</th>\n",
       "      <td>15.90</td>\n",
       "      <td>8.58</td>\n",
       "      <td>3.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chalupa</th>\n",
       "      <td>11.61</td>\n",
       "      <td>1.94</td>\n",
       "      <td>10.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donut</th>\n",
       "      <td>1.49</td>\n",
       "      <td>1.26</td>\n",
       "      <td>6.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ice Cream</th>\n",
       "      <td>14.06</td>\n",
       "      <td>4.89</td>\n",
       "      <td>3.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi</th>\n",
       "      <td>3.28</td>\n",
       "      <td>2.01</td>\n",
       "      <td>32.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "City              New York  Philadelphia  Stamford\n",
       "Gender Item                                       \n",
       "Female Burger         2.25          1.97      6.24\n",
       "       Burrito        1.02          1.04      1.18\n",
       "       Chalupa        1.96          9.35      9.09\n",
       "       Donut          3.15          2.13      1.68\n",
       "       Ice Cream     13.39          7.61      8.80\n",
       "       Sushi          2.52         11.68      8.20\n",
       "Male   Burger         5.43          1.71      2.83\n",
       "       Burrito       15.90          8.58      3.64\n",
       "       Chalupa       11.61          1.94     10.56\n",
       "       Donut          1.49          1.26      6.63\n",
       "       Ice Cream     14.06          4.89      3.43\n",
       "       Sushi          3.28          2.01     32.15"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(foods,values=\"Spend\",index = [\"Gender\",\"Item\"],columns=\"City\",aggfunc=\"min\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## pd.melt() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Pivot table to aggregated format to tabular format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Salesman</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Boris</td>\n",
       "      <td>602908</td>\n",
       "      <td>233879</td>\n",
       "      <td>354479</td>\n",
       "      <td>32704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bob</td>\n",
       "      <td>43790</td>\n",
       "      <td>514863</td>\n",
       "      <td>297151</td>\n",
       "      <td>544493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>392668</td>\n",
       "      <td>113579</td>\n",
       "      <td>430882</td>\n",
       "      <td>247231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Travis</td>\n",
       "      <td>834663</td>\n",
       "      <td>266785</td>\n",
       "      <td>749238</td>\n",
       "      <td>570524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Donald</td>\n",
       "      <td>580935</td>\n",
       "      <td>411379</td>\n",
       "      <td>110390</td>\n",
       "      <td>651572</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Salesman      Q1      Q2      Q3      Q4\n",
       "0    Boris  602908  233879  354479   32704\n",
       "1      Bob   43790  514863  297151  544493\n",
       "2    Tommy  392668  113579  430882  247231\n",
       "3   Travis  834663  266785  749238  570524\n",
       "4   Donald  580935  411379  110390  651572"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales = pd.read_csv('quarters.csv')\n",
    "sales.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Salesman</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jeb</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q1</td>\n",
       "      <td>992673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q2</td>\n",
       "      <td>233879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q2</td>\n",
       "      <td>514863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q2</td>\n",
       "      <td>113579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q2</td>\n",
       "      <td>266785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q2</td>\n",
       "      <td>411379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q2</td>\n",
       "      <td>70803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q2</td>\n",
       "      <td>600753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q2</td>\n",
       "      <td>742806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q2</td>\n",
       "      <td>879183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q3</td>\n",
       "      <td>354479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q3</td>\n",
       "      <td>297151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q3</td>\n",
       "      <td>430882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q3</td>\n",
       "      <td>749238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q3</td>\n",
       "      <td>110390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q3</td>\n",
       "      <td>375948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q3</td>\n",
       "      <td>742716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q3</td>\n",
       "      <td>770712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q3</td>\n",
       "      <td>37945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q4</td>\n",
       "      <td>32704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q4</td>\n",
       "      <td>544493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q4</td>\n",
       "      <td>247231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q4</td>\n",
       "      <td>570524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q4</td>\n",
       "      <td>651572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q4</td>\n",
       "      <td>321388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q4</td>\n",
       "      <td>404995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q4</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q4</td>\n",
       "      <td>293710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Salesman variable   value\n",
       "0     Boris       Q1  602908\n",
       "1       Bob       Q1   43790\n",
       "2     Tommy       Q1  392668\n",
       "3    Travis       Q1  834663\n",
       "4    Donald       Q1  580935\n",
       "5       Ted       Q1  656644\n",
       "6       Jeb       Q1  486141\n",
       "7     Stacy       Q1  479662\n",
       "8    Morgan       Q1  992673\n",
       "9     Boris       Q2  233879\n",
       "10      Bob       Q2  514863\n",
       "11    Tommy       Q2  113579\n",
       "12   Travis       Q2  266785\n",
       "13   Donald       Q2  411379\n",
       "14      Ted       Q2   70803\n",
       "15      Jeb       Q2  600753\n",
       "16    Stacy       Q2  742806\n",
       "17   Morgan       Q2  879183\n",
       "18    Boris       Q3  354479\n",
       "19      Bob       Q3  297151\n",
       "20    Tommy       Q3  430882\n",
       "21   Travis       Q3  749238\n",
       "22   Donald       Q3  110390\n",
       "23      Ted       Q3  375948\n",
       "24      Jeb       Q3  742716\n",
       "25    Stacy       Q3  770712\n",
       "26   Morgan       Q3   37945\n",
       "27    Boris       Q4   32704\n",
       "28      Bob       Q4  544493\n",
       "29    Tommy       Q4  247231\n",
       "30   Travis       Q4  570524\n",
       "31   Donald       Q4  651572\n",
       "32      Ted       Q4  321388\n",
       "33      Jeb       Q4  404995\n",
       "34    Stacy       Q4    2501\n",
       "35   Morgan       Q4  293710"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.melt(sales , id_vars=\"Salesman\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>2</th>\n",
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       "      <th>4</th>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jeb</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Stacy</td>\n",
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       "      <td>479662</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q1</td>\n",
       "      <td>992673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q2</td>\n",
       "      <td>233879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q2</td>\n",
       "      <td>514863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q2</td>\n",
       "      <td>113579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q2</td>\n",
       "      <td>266785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q2</td>\n",
       "      <td>411379</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q2</td>\n",
       "      <td>70803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q2</td>\n",
       "      <td>600753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q2</td>\n",
       "      <td>742806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q2</td>\n",
       "      <td>879183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q3</td>\n",
       "      <td>354479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q3</td>\n",
       "      <td>297151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q3</td>\n",
       "      <td>430882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q3</td>\n",
       "      <td>749238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q3</td>\n",
       "      <td>110390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q3</td>\n",
       "      <td>375948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q3</td>\n",
       "      <td>742716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q3</td>\n",
       "      <td>770712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q3</td>\n",
       "      <td>37945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q4</td>\n",
       "      <td>32704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q4</td>\n",
       "      <td>544493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q4</td>\n",
       "      <td>247231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q4</td>\n",
       "      <td>570524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q4</td>\n",
       "      <td>651572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q4</td>\n",
       "      <td>321388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q4</td>\n",
       "      <td>404995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q4</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q4</td>\n",
       "      <td>293710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Salesman Quarter   value\n",
       "0     Boris      Q1  602908\n",
       "1       Bob      Q1   43790\n",
       "2     Tommy      Q1  392668\n",
       "3    Travis      Q1  834663\n",
       "4    Donald      Q1  580935\n",
       "5       Ted      Q1  656644\n",
       "6       Jeb      Q1  486141\n",
       "7     Stacy      Q1  479662\n",
       "8    Morgan      Q1  992673\n",
       "9     Boris      Q2  233879\n",
       "10      Bob      Q2  514863\n",
       "11    Tommy      Q2  113579\n",
       "12   Travis      Q2  266785\n",
       "13   Donald      Q2  411379\n",
       "14      Ted      Q2   70803\n",
       "15      Jeb      Q2  600753\n",
       "16    Stacy      Q2  742806\n",
       "17   Morgan      Q2  879183\n",
       "18    Boris      Q3  354479\n",
       "19      Bob      Q3  297151\n",
       "20    Tommy      Q3  430882\n",
       "21   Travis      Q3  749238\n",
       "22   Donald      Q3  110390\n",
       "23      Ted      Q3  375948\n",
       "24      Jeb      Q3  742716\n",
       "25    Stacy      Q3  770712\n",
       "26   Morgan      Q3   37945\n",
       "27    Boris      Q4   32704\n",
       "28      Bob      Q4  544493\n",
       "29    Tommy      Q4  247231\n",
       "30   Travis      Q4  570524\n",
       "31   Donald      Q4  651572\n",
       "32      Ted      Q4  321388\n",
       "33      Jeb      Q4  404995\n",
       "34    Stacy      Q4    2501\n",
       "35   Morgan      Q4  293710"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.melt(sales , id_vars=\"Salesman\",var_name=\"Quarter\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Salesman</th>\n",
       "      <th>Quarter</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Boris</td>\n",
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       "      <td>602908</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bob</td>\n",
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       "      <td>43790</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q1</td>\n",
       "      <td>392668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q1</td>\n",
       "      <td>834663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Donald</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q1</td>\n",
       "      <td>656644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q1</td>\n",
       "      <td>486141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q1</td>\n",
       "      <td>479662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q1</td>\n",
       "      <td>992673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q2</td>\n",
       "      <td>233879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q2</td>\n",
       "      <td>514863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q2</td>\n",
       "      <td>113579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q2</td>\n",
       "      <td>266785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q2</td>\n",
       "      <td>411379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q2</td>\n",
       "      <td>70803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q2</td>\n",
       "      <td>600753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q2</td>\n",
       "      <td>742806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q2</td>\n",
       "      <td>879183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q3</td>\n",
       "      <td>354479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q3</td>\n",
       "      <td>297151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q3</td>\n",
       "      <td>430882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q3</td>\n",
       "      <td>749238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q3</td>\n",
       "      <td>110390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q3</td>\n",
       "      <td>375948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q3</td>\n",
       "      <td>742716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q3</td>\n",
       "      <td>770712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q3</td>\n",
       "      <td>37945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Boris</td>\n",
       "      <td>Q4</td>\n",
       "      <td>32704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Bob</td>\n",
       "      <td>Q4</td>\n",
       "      <td>544493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Tommy</td>\n",
       "      <td>Q4</td>\n",
       "      <td>247231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Travis</td>\n",
       "      <td>Q4</td>\n",
       "      <td>570524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Q4</td>\n",
       "      <td>651572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Ted</td>\n",
       "      <td>Q4</td>\n",
       "      <td>321388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Jeb</td>\n",
       "      <td>Q4</td>\n",
       "      <td>404995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Stacy</td>\n",
       "      <td>Q4</td>\n",
       "      <td>2501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Q4</td>\n",
       "      <td>293710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Salesman Quarter  Revenue\n",
       "0     Boris      Q1   602908\n",
       "1       Bob      Q1    43790\n",
       "2     Tommy      Q1   392668\n",
       "3    Travis      Q1   834663\n",
       "4    Donald      Q1   580935\n",
       "5       Ted      Q1   656644\n",
       "6       Jeb      Q1   486141\n",
       "7     Stacy      Q1   479662\n",
       "8    Morgan      Q1   992673\n",
       "9     Boris      Q2   233879\n",
       "10      Bob      Q2   514863\n",
       "11    Tommy      Q2   113579\n",
       "12   Travis      Q2   266785\n",
       "13   Donald      Q2   411379\n",
       "14      Ted      Q2    70803\n",
       "15      Jeb      Q2   600753\n",
       "16    Stacy      Q2   742806\n",
       "17   Morgan      Q2   879183\n",
       "18    Boris      Q3   354479\n",
       "19      Bob      Q3   297151\n",
       "20    Tommy      Q3   430882\n",
       "21   Travis      Q3   749238\n",
       "22   Donald      Q3   110390\n",
       "23      Ted      Q3   375948\n",
       "24      Jeb      Q3   742716\n",
       "25    Stacy      Q3   770712\n",
       "26   Morgan      Q3    37945\n",
       "27    Boris      Q4    32704\n",
       "28      Bob      Q4   544493\n",
       "29    Tommy      Q4   247231\n",
       "30   Travis      Q4   570524\n",
       "31   Donald      Q4   651572\n",
       "32      Ted      Q4   321388\n",
       "33      Jeb      Q4   404995\n",
       "34    Stacy      Q4     2501\n",
       "35   Morgan      Q4   293710"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.melt(sales , id_vars=\"Salesman\",var_name=\"Quarter\",value_name=\"Revenue\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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