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Datasets:
letrinhan
/
vn-provinces-cereal-production

Languages:
English
Vietnamese
Size:
1K<n<10K
Tags:
vietnam
provinces
nso
economy
agriculture-forestry-and-fishery
License:
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'R6' as a scalar of type int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2015, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1161, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 414, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Failed to parse string: 'R6' as a scalar of type int64
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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geo_code
int64
geo_name
string
geo_short
string
geo_system
string
year
int64
value
float64
value_status
string
unit
string
0
Viet Nam
VN
national
1,995
26,142.5
final
thousand_tons
0
Viet Nam
VN
national
1,996
27,935.7
final
thousand_tons
0
Viet Nam
VN
national
1,997
29,182.9
final
thousand_tons
0
Viet Nam
VN
national
1,998
30,758.6
final
thousand_tons
0
Viet Nam
VN
national
1,999
33,150.1
final
thousand_tons
0
Viet Nam
VN
national
2,000
34,538.9
final
thousand_tons
0
Viet Nam
VN
national
2,001
34,272.9
final
thousand_tons
0
Viet Nam
VN
national
2,002
36,960.7
final
thousand_tons
0
Viet Nam
VN
national
2,003
37,706.9
final
thousand_tons
0
Viet Nam
VN
national
2,004
39,581
final
thousand_tons
0
Viet Nam
VN
national
2,005
39,621.6
final
thousand_tons
0
Viet Nam
VN
national
2,006
39,706.2
final
thousand_tons
0
Viet Nam
VN
national
2,007
40,247.4
final
thousand_tons
0
Viet Nam
VN
national
2,008
43,305.4
final
thousand_tons
0
Viet Nam
VN
national
2,009
43,323.4
final
thousand_tons
0
Viet Nam
VN
national
2,010
44,632.2
final
thousand_tons
0
Viet Nam
VN
national
2,011
47,235.5
final
thousand_tons
0
Viet Nam
VN
national
2,012
48,712.6
final
thousand_tons
0
Viet Nam
VN
national
2,013
49,231.6
final
thousand_tons
0
Viet Nam
VN
national
2,014
50,178.5
final
thousand_tons
0
Viet Nam
VN
national
2,015
50,379.5
final
thousand_tons
0
Viet Nam
VN
national
2,016
48,360.2
final
thousand_tons
0
Viet Nam
VN
national
2,017
47,852.2
final
thousand_tons
0
Viet Nam
VN
national
2,018
48,923.4
final
thousand_tons
0
Viet Nam
VN
national
2,019
48,230.9
final
thousand_tons
0
Viet Nam
VN
national
2,020
47,325.5
final
thousand_tons
0
Viet Nam
VN
national
2,021
48,301
final
thousand_tons
0
Viet Nam
VN
national
2,022
47,085.6
final
thousand_tons
0
Viet Nam
VN
national
2,023
47,935.7
final
thousand_tons
0
Viet Nam
VN
national
2,024
47,854.6
preliminary
thousand_tons
1
Ha Noi
HN
historical_63
1,995
198.9
final
thousand_tons
1
Ha Noi
HN
historical_63
1,996
222
final
thousand_tons
1
Ha Noi
HN
historical_63
1,997
223.6
final
thousand_tons
1
Ha Noi
HN
historical_63
1,998
232.6
final
thousand_tons
1
Ha Noi
HN
historical_63
1,999
238.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,000
256.3
final
thousand_tons
1
Ha Noi
HN
historical_63
2,001
222.4
final
thousand_tons
1
Ha Noi
HN
historical_63
2,002
233.2
final
thousand_tons
1
Ha Noi
HN
historical_63
2,003
231
final
thousand_tons
1
Ha Noi
HN
historical_63
2,004
227.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,005
215.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,006
211.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,007
212.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,008
1,288.8
final
thousand_tons
1
Ha Noi
HN
historical_63
2,009
1,229.2
final
thousand_tons
1
Ha Noi
HN
historical_63
2,010
1,237.5
final
thousand_tons
1
Ha Noi
HN
historical_63
2,011
1,332.2
final
thousand_tons
1
Ha Noi
HN
historical_63
2,012
1,301.9
final
thousand_tons
1
Ha Noi
HN
historical_63
2,013
1,256.5
final
thousand_tons
1
Ha Noi
HN
historical_63
2,014
1,273.5
final
thousand_tons
1
Ha Noi
HN
historical_63
2,015
1,272
final
thousand_tons
1
Ha Noi
HN
historical_63
2,016
1,206.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,017
1,145.5
final
thousand_tons
1
Ha Noi
HN
historical_63
2,018
1,108.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,019
1,047.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,020
1,044.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,021
1,053.3
final
thousand_tons
1
Ha Noi
HN
historical_63
2,022
1,024.9
final
thousand_tons
1
Ha Noi
HN
historical_63
2,023
1,003.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,024
924
preliminary
thousand_tons
2
Ha Giang
HG
historical_63
1,995
127.3
final
thousand_tons
2
Ha Giang
HG
historical_63
1,996
142.7
final
thousand_tons
2
Ha Giang
HG
historical_63
1,997
151
final
thousand_tons
2
Ha Giang
HG
historical_63
1,998
162
final
thousand_tons
2
Ha Giang
HG
historical_63
1,999
173.5
final
thousand_tons
2
Ha Giang
HG
historical_63
2,000
193.3
final
thousand_tons
2
Ha Giang
HG
historical_63
2,001
210.2
final
thousand_tons
2
Ha Giang
HG
historical_63
2,002
222.8
final
thousand_tons
2
Ha Giang
HG
historical_63
2,003
234.1
final
thousand_tons
2
Ha Giang
HG
historical_63
2,004
239.6
final
thousand_tons
2
Ha Giang
HG
historical_63
2,005
247.5
final
thousand_tons
2
Ha Giang
HG
historical_63
2,006
249
final
thousand_tons
2
Ha Giang
HG
historical_63
2,007
252.5
final
thousand_tons
2
Ha Giang
HG
historical_63
2,008
279.2
final
thousand_tons
2
Ha Giang
HG
historical_63
2,009
308
final
thousand_tons
2
Ha Giang
HG
historical_63
2,010
330.7
final
thousand_tons
2
Ha Giang
HG
historical_63
2,011
357.3
final
thousand_tons
2
Ha Giang
HG
historical_63
2,012
371.7
final
thousand_tons
2
Ha Giang
HG
historical_63
2,013
383.9
final
thousand_tons
2
Ha Giang
HG
historical_63
2,014
386.4
final
thousand_tons
2
Ha Giang
HG
historical_63
2,015
390.2
final
thousand_tons
2
Ha Giang
HG
historical_63
2,016
395.7
final
thousand_tons
2
Ha Giang
HG
historical_63
2,017
397.9
final
thousand_tons
2
Ha Giang
HG
historical_63
2,018
405.2
final
thousand_tons
2
Ha Giang
HG
historical_63
2,019
405.8
final
thousand_tons
2
Ha Giang
HG
historical_63
2,020
414.6
final
thousand_tons
2
Ha Giang
HG
historical_63
2,021
417.7
final
thousand_tons
2
Ha Giang
HG
historical_63
2,022
419.3
final
thousand_tons
2
Ha Giang
HG
historical_63
2,023
411.7
final
thousand_tons
2
Ha Giang
HG
historical_63
2,024
412.7
preliminary
thousand_tons
4
Cao Bang
CB
historical_63
1,995
147.7
final
thousand_tons
4
Cao Bang
CB
historical_63
1,996
143.2
final
thousand_tons
4
Cao Bang
CB
historical_63
1,997
155.6
final
thousand_tons
4
Cao Bang
CB
historical_63
1,998
151.9
final
thousand_tons
4
Cao Bang
CB
historical_63
1,999
161.5
final
thousand_tons
4
Cao Bang
CB
historical_63
2,000
164.2
final
thousand_tons
4
Cao Bang
CB
historical_63
2,001
179.1
final
thousand_tons
4
Cao Bang
CB
historical_63
2,002
179.4
final
thousand_tons
4
Cao Bang
CB
historical_63
2,003
191.2
final
thousand_tons
4
Cao Bang
CB
historical_63
2,004
193.2
final
thousand_tons
End of preview.

Vietnam provinces cereal production

Provincial and regional cereal production (thousand tons). Coverage 1995-2024. Year 2024 is preliminary. Includes historical Ha Tay through 2007 (dissolved into Ha Noi). Tables cover provinces, regions and national total. Geographic labels are English (UN/GSO style ASCII romanization). Province names follow ar_core.vn_geo (historical 63-province system).

Files

provinces (1876 rows)

  • data/provinces.csv
  • data/provinces.dta
  • data/provinces.xlsx

regions (180 rows)

  • data/regions.csv
  • data/regions.dta
  • data/regions.xlsx

national (30 rows)

  • data/national.csv
  • data/national.dta
  • data/national.xlsx

Load

Stata:

use "data/provinces.dta", clear

R:

df <- read.csv("data/provinces.csv")

SPSS: open the .xlsx or .csv file.

Source

National Statistics Office of Vietnam (NSO/GSO). Original table title: San luong luong thuc co hat phan theo dia phuong. Cleaned long panel for research use. Geographic units are Vietnam provinces (and regions / national where present).

Raw originals

Unmodified upstream source files are under raw/ for verification (see raw/README.md). Clean tables remain under data/.

Citation 

@misc{nso_vn_provinces_cereal_production,
  title = {Vietnam provinces cereal production},
  author = {{National Statistics Office of Vietnam}},
  note = {Cleaned long panel. Unit: thousand tons.},
  year = {2024}
}

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