diff --git a/CHANGELOG.md b/CHANGELOG.md
index d9626becacf..5c6c3e7b985 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -95,6 +95,7 @@
 - PR #1019 Binary Ops: Fix error when one input column has null mask but other doesn't
 - PR #1014 CSV Reader: Fix false positives in bool value detection
 - PR #1034 CSV Reader: Fix parsing floating point precision and leading zero exponents
+- PR #1044 CSV Reader: Fix a segfault when byte range aligns with a page
 
 
 # cuDF 0.5.1 (05 Feb 2019)
diff --git a/cpp/src/io/csv/csv_reader.cu b/cpp/src/io/csv/csv_reader.cu
index 8e9a201cc17..4c128c4cd4a 100644
--- a/cpp/src/io/csv/csv_reader.cu
+++ b/cpp/src/io/csv/csv_reader.cu
@@ -432,10 +432,12 @@ gdf_error read_csv(csv_read_arg *args)
 		if (raw_csv->byte_range_size != 0 && padded_byte_range_size < map_size) {
 			// Need to make sure that w/ padding we don't overshoot the end of file
 			map_size = min(padded_byte_range_size + calculateMaxRowSize(args->num_cols), map_size);
-			// Ignore page padding for parsing purposes
-			raw_csv->num_bytes = map_size - page_padding;
+
 		}
 
+		// Ignore page padding for parsing purposes
+		raw_csv->num_bytes = map_size - page_padding;
+
 		map_data = mmap(0, map_size, PROT_READ, MAP_PRIVATE, fd, map_offset);
 	
 		if (map_data == MAP_FAILED || map_size==0) { close(fd); checkError(GDF_C_ERROR, "Error mapping file"); }
@@ -1185,17 +1187,11 @@ __global__ void countRecords(char *data, const char terminator, const char quote
 	// process the data
 	cu_reccnt_t tokenCount = 0;
 	for (long x = 0; x < byteToProcess; x++) {
-		
 		// Scan and log records. If quotations are enabled, then also log quotes
 		// for a postprocess ignore, as the chunk here has limited visibility.
 		if ((raw[x] == terminator) || (quotechar != '\0' && raw[x] == quotechar)) {
 			tokenCount++;
-		} else if (terminator == '\n' && (x + 1L) < byteToProcess && 
-		           raw[x] == '\r' && raw[x + 1L] == '\n') {
-			x++;
-			tokenCount++;
 		}
-
 	}
 	atomicAdd(num_records, tokenCount);
 }
@@ -1244,8 +1240,8 @@ gdf_error launch_storeRecordStart(const char *h_data, size_t h_size,
 		// include_first_row should only apply to the first chunk
 		const bool cu_include_first_row = (ci == 0) && (csvData->byte_range_offset == 0);
 		
-		// Copy chunk to device. Copy extra byte if not last chunk
-		CUDA_TRY(cudaMemcpy(d_chunk, h_chunk, ci < (chunk_count - 1)?chunk_bytes:chunk_bytes + 1, cudaMemcpyDefault));
+		// Copy chunk to device
+		CUDA_TRY(cudaMemcpy(d_chunk, h_chunk, chunk_bytes, cudaMemcpyDefault));
 
 		const int gridSize = (chunk_bits + blockSize - 1) / blockSize;
 		storeRecordStart <<< gridSize, blockSize >>> (
@@ -1309,22 +1305,12 @@ __global__ void storeRecordStart(char *data, size_t chunk_offset,
 
 	// process the data
 	for (long x = 0; x < byteToProcess; x++) {
-
 		// Scan and log records. If quotations are enabled, then also log quotes
 		// for a postprocess ignore, as the chunk here has limited visibility.
 		if ((raw[x] == terminator) || (quotechar != '\0' && raw[x] == quotechar)) {
-
-			const auto pos = atomicAdd(num_records, 1ull);
-			recStart[pos] = did + chunk_offset + x + 1;
-
-		} else if (terminator == '\n' && (x + 1L) < byteToProcess && 
-				   raw[x] == '\r' && raw[x + 1L] == '\n') {
-
-			x++;
 			const auto pos = atomicAdd(num_records, 1ull);
 			recStart[pos] = did + chunk_offset + x + 1;
 		}
-
 	}
 }
 
diff --git a/python/cudf/tests/test_csvreader.py b/python/cudf/tests/test_csvreader.py
index ce9e6e2b3a5..4731935a7e4 100644
--- a/python/cudf/tests/test_csvreader.py
+++ b/python/cudf/tests/test_csvreader.py
@@ -905,3 +905,16 @@ def test_csv_reader_bools_false_positives(tmpdir):
                   header=None, dtype=["int32"])
 
     np.testing.assert_array_equal(items, df['0'])
+
+
+def test_csv_reader_aligned_byte_range(tmpdir):
+    fname = tmpdir.mkdir("gdf_csv").join("tmp_csvreader_file19.csv")
+    nelem = 1000
+
+    input_df = pd.DataFrame({'key': np.arange(0, nelem),
+                             'zeros': np.zeros(nelem)})
+    input_df.to_csv(fname)
+
+    df = cudf.read_csv(str(fname), byte_range=(0, 4096))
+    # read_csv call above used to crash; the assert below is not crucial
+    assert(np.count_nonzero(df['zeros']) == 0)