DATA JAKARTA

Jakarta curated and short-list datasets.

1. General

   • Administrative Area (2014)

2. Population / Demographics

   • General Population (2014)
   • Population Age Group (2013)
   • Population Density (2013)
   • Population Household (2013)
   • Population Jobs (2013)
   • Population Education (2013)
   • Income per Capita (2013)

3. Building / Infrastructure

   • Building Permit (2012)

4. Jakgo API

General

Administrative Area (2014)

Datasets: administrative-area.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name
year	tahun
province id	nomor_provinsi
province name	nama_provinsi
regency id	nomor_kabupaten
regency name	nama_kabupaten
district id	nomor_kecamatan
district name	nama_kecamatan
village id	nomor_kelurahan
village name	nama_kelurahan

Administrative Level Structure

Provinsi (Province): DKI Jakarta
|-- Kabupaten (Regency): Jakarta Pusat
|   +-- Kecamatan (District): Setiabudi
|   |   +--- Kelurahan (Village): Guntur

Population / Demographics

General Population (2014)

Datasets: DATA-DKI-MENURUT-PENDUDUK-TAHUN-2014.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name	Unit
year	tahun
province name	nama_provinsi
regency name	nama_kabupaten
district id	nama_kecamatan
village name	name_kelurahan
Male - Indonesian	laki-laki_wni
Female - Indonesian	perempuan_wni
Male - Foreign	laki-laki_wna
Female - Foreign	perempuan_wna

Population Age Group (2013)

Datasets: Penduduk-Menurut-Kelompok-Umur-dan-Jenis-Kelamin-Di-DKI-Jakarta-Tahun-2013.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name	Unit
year	tahun
age group	kelompok_usia
total male	jumlah_laki_laki
total female	jumlah_perempuan

Population Density (2013)

Datasets: dkikepadatankelurahan2013.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name	Unit
year	tahun
regency name	NAMA KABUPATEN
district name	NAMA KECAMATAN
village name	NAMA KELURAHAN
Area	LUAS WILAYAH	Km2
Area Density	KEPADATAN	population/Km2

Population Household (2013)

Datasets: Jumlah-Kecamatan-Kelurahan-Rukun-Warga-Rukun-Tetangga-dan-Kepala-Keluarga-Menurut-Kabupaten-Atau-Kot.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name	Unit
year	tahun
regency name	nama_kabkota
district name	nama_kecamatan
number of village	jumlah_kelurahan
number of community	jumlah_rw
number of neighbourhood	jumlah_rt
number of household	jumlah_kk

Administrative Level Structure (Detail to KK/Household)

Provinsi (Province): DKI Jakarta
|-- Kabupaten (Regency): Jakarta Pusat
|   +-- Kecamatan (District): Setiabudi
|   |   +--- Kelurahan (Village): Guntur
|   |   |    +-- Rukun Warga (Community): 05
|   |   |    |   +-- Rukun Tetangga (Neighbourhood): 003
|   |   |    |   |   +-- Kepala Keluarga (Household)

Population Jobs (2013)

Datasets: Penduduk-Yang-Bekerja-Lapangan-Pekerjaan-2013.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name	Unit
year	tahun
type of industry	lapangan_pekerjaan
male	jumlah_lelaki
female	jumlah_perempuan

Industry list:

Type of industry	Description
Pertanian	Agriculture
Pertambangan Penggalian	Mining and Quarrying
Industri Pengolahan	Processing Industry
Listrik Gas Air Bersih	Electricity Gas Water
Konstruksi	Construction
Perdagangan Hotel dan Restoran	Trade Hotel and Restaurant
Transportasi Pergudangan dan Komunikasi	Transportation Pergudangandan Communications
Keuangan Perbankan & Jasa Perusahaan	Banking & Financial Services Company
Jasa-jasa	Services

Population Education (2013)

Datasets: Persentase-Penduduk-Yang-Berumur-10-Tahun-Ke-Atas-Menurut-Pendidikan-Tertinggi-Yang-Ditamatkan-Tahun.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name	Unit
year	tahun
education level	jenis_pendidikan
percentage	persentase

Income per Capita (2013)

Datasets: processed-pendapatan-perkapita-jakarta-nasional-2006-2012.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name	Unit
year	tahun
income per capita (Jakarta)	perkapita_jakarta	Million Indonesia Rupiah (IDR)
income per capita (National)	perkapita_nasional	Million Indonesia Rupiah (IDR)

As reference, currency at 12 April 2016 EUR 1 = IDR 15028

Building / Infrastructure

Building Permit (1998-2012)

Datasets: jumlahimbbangunandanluasbangunan19982012.csv

Source: data.jakarta.go.id

Fields:

Fields	Column Name	Unit
year	tahun
number of permit	imb
number of building	bangunan
building area	luas_bangunan

Jakgo API

Jakarta City Government has developed Jakgo API (Beta) to provide direct public access to their data with JSON and GeoJSON format. See Jakgo API Documentation.

API TOKEN: q06qb1eTOimT7sc9nMQfkzCKBYEzePXwYbWpEaEk

Available Endpoints

• Kota - City/Regency
  • Example: http://api-jakgo.fzlrhmn.com//api/v1/kota/3174?api_token=q06qb1eTOimT7sc9nMQfkzCKBYEzePXwYbWpEaEk&format=geojson
• Kecamatan - District
  • Example: http://api-jakgo.fzlrhmn.com//api/v1/kecamatan/3175060?api_token=q06qb1eTOimT7sc9nMQfkzCKBYEzePXwYbWpEaEk&format=geojson
• Kelurahan - Village
  • Example: http://api-jakgo.fzlrhmn.com//api/v1/kelurahan/3174020007?api_token=q06qb1eTOimT7sc9nMQfkzCKBYEzePXwYbWpEaEk&format=geojson
• Rukun Warga - Community
  • Example: http://api-jakgo.fzlrhmn.com//api/v1/rw/3174070005001000?api_token=q06qb1eTOimT7sc9nMQfkzCKBYEzePXwYbWpEaEk&format=geojson
• Pembuangan Sampah - Garbage Depot
• Rumah Sakit Umum - General Hospital
• Rumah Sakit Khusus - Specialty Hospital
• Puskesmas - Clinic
• CCTV

Parameters

Some reference for the API Endpoint parameters:

Parameter	Description	Example
kode_kota	Regency/City Code
kode_kecamatan	District Code
kode_kelurahan	Village Code
kode_rw	Community

Response

Some example from Rukun Warga(RW) - Community Endpoint with parameter 3174070005001000:

{
	type: "FeatureCollection",
	features: [{
		type: "Feature",
		properties: {
			kode_kota: 3174,
			nama_kota: "JAKARTA BARAT",
			kode_kecamatan: 3174070,
			nama_kecamatan: "CENGKARENG",
			kode_kelurahan: 3174070005,
			nama_kelurahan: "CENGKARENG TIMUR",
			kode_rw: 3174070005001000,
			nama_rw: "RW 01"
		},
		geometry: {
			type: "Polygon",
			coordinates: [
				[
					[
						106.73348514844, -6.1519110001687
					],
					[
						106.73344414835, -6.1521709995681
					],
					[
						106.73358714865, -6.1523289996598
					],
					[
						106.73357114881, -6.1524699998668
					],
					[
						106.73364214848, -6.1526170003505
					],
					[
						106.73407714876, -6.1527359995429
					],
					[
						106.73426114825, -6.1527860000501
					],
					[
						106.73422814853, -6.1530780000259
					],
					[
						106.73402815509, -6.1550089020611
					],
					[
						106.73401900002, -6.1550089999763
					],
					[
						106.73377450002, -6.1550584999763
					],
					[
						106.73352000002, -6.1551099999763
					],
					[
						106.73302100002, -6.1552239999764
					],
					[
						106.73247400002, -6.1552719999763
					],
					[
						106.73171200002, -6.1553299999763
					],
					[
						106.7314083307, -6.1553523858553
					],
					[
						106.73140000002, -6.1553529999764
					],
					[
						106.73091100002, -6.1551809999764
					],
					[
						106.72998171342, -6.1548659370337
					],
					[
						106.73015038945, -6.1539005172712
					],
					[
						106.7302533888, -6.1532645176195
					],
					[
						106.72990038961, -6.1531775172048
					],
					[
						106.72982000461, -6.1527168349902
					],
					[
						106.7300843891, -6.1527295172296
					],
					[
						106.73045896573, -6.1528376229341
					],
					[
						106.73056838894, -6.1523625173924
					],
					[
						106.73066462809, -6.151956633568
					],
					[
						106.73119114877, -6.1519959995919
					],
					[
						106.73146638898, -6.1520225412835
					],
					[
						106.73147114819, -6.151387000286
					],
					[
						106.73146138965, -6.1511875171664
					],
					[
						106.73146139415, -6.1509944848838
					],
					[
						106.73192205837, -6.1509820256761
					],
					[
						106.73192614849, -6.1509819995958
					],
					[
						106.73212114849, -6.1509990003797
					],
					[
						106.73251114849, -6.1510520001259
					],
					[
						106.73312814816, -6.1512029998947
					],
					[
						106.73334614832, -6.1512549995948
					],
					[
						106.73354314841, -6.1514460003089
					],
					[
						106.73353814818, -6.1516040004005
					],
					[
						106.73348514844, -6.1519110001687
					]
				]
			]
		}
	}]
}