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Datasets:
letrinhan
/
vn-provinces-spring-rice-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
                  return func.call(args, options=options, memory_pool=memory_pool,
                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
                  return check_status(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
10,736.6
final
thousand_tons
0
Viet Nam
VN
national
1,996
12,209.5
final
thousand_tons
0
Viet Nam
VN
national
1,997
13,310.3
final
thousand_tons
0
Viet Nam
VN
national
1,998
13,559.5
final
thousand_tons
0
Viet Nam
VN
national
1,999
14,103
final
thousand_tons
0
Viet Nam
VN
national
2,000
15,571.2
final
thousand_tons
0
Viet Nam
VN
national
2,001
15,474.4
final
thousand_tons
0
Viet Nam
VN
national
2,002
16,719.6
final
thousand_tons
0
Viet Nam
VN
national
2,003
16,822.7
final
thousand_tons
0
Viet Nam
VN
national
2,004
17,078
final
thousand_tons
0
Viet Nam
VN
national
2,005
17,331.6
final
thousand_tons
0
Viet Nam
VN
national
2,006
17,588.2
final
thousand_tons
0
Viet Nam
VN
national
2,007
17,024.1
final
thousand_tons
0
Viet Nam
VN
national
2,008
18,326.9
final
thousand_tons
0
Viet Nam
VN
national
2,009
18,695.8
final
thousand_tons
0
Viet Nam
VN
national
2,010
19,216.8
final
thousand_tons
0
Viet Nam
VN
national
2,011
19,778.3
final
thousand_tons
0
Viet Nam
VN
national
2,012
20,291.9
final
thousand_tons
0
Viet Nam
VN
national
2,013
20,069.7
final
thousand_tons
0
Viet Nam
VN
national
2,014
20,850.5
final
thousand_tons
0
Viet Nam
VN
national
2,015
21,091.7
final
thousand_tons
0
Viet Nam
VN
national
2,016
19,646.6
final
thousand_tons
0
Viet Nam
VN
national
2,017
19,415.8
final
thousand_tons
0
Viet Nam
VN
national
2,018
20,603
final
thousand_tons
0
Viet Nam
VN
national
2,019
20,471.6
final
thousand_tons
0
Viet Nam
VN
national
2,020
19,874.4
final
thousand_tons
0
Viet Nam
VN
national
2,021
20,628.8
final
thousand_tons
0
Viet Nam
VN
national
2,022
19,976
final
thousand_tons
0
Viet Nam
VN
national
2,023
20,189.3
final
thousand_tons
0
Viet Nam
VN
national
2,024
20,333.9
preliminary
thousand_tons
1
Ha Noi
HN
historical_63
1,995
80.3
final
thousand_tons
1
Ha Noi
HN
historical_63
1,996
104.5
final
thousand_tons
1
Ha Noi
HN
historical_63
1,997
103.4
final
thousand_tons
1
Ha Noi
HN
historical_63
1,998
92.3
final
thousand_tons
1
Ha Noi
HN
historical_63
1,999
93.1
final
thousand_tons
1
Ha Noi
HN
historical_63
2,000
113.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,001
103.9
final
thousand_tons
1
Ha Noi
HN
historical_63
2,002
104.4
final
thousand_tons
1
Ha Noi
HN
historical_63
2,003
107.9
final
thousand_tons
1
Ha Noi
HN
historical_63
2,004
105.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,005
96.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,006
96.4
final
thousand_tons
1
Ha Noi
HN
historical_63
2,007
87.9
final
thousand_tons
1
Ha Noi
HN
historical_63
2,008
605
final
thousand_tons
1
Ha Noi
HN
historical_63
2,009
601.4
final
thousand_tons
1
Ha Noi
HN
historical_63
2,010
590
final
thousand_tons
1
Ha Noi
HN
historical_63
2,011
638.8
final
thousand_tons
1
Ha Noi
HN
historical_63
2,012
634.2
final
thousand_tons
1
Ha Noi
HN
historical_63
2,013
625.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,014
620.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,015
616.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,016
605.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,017
594.4
final
thousand_tons
1
Ha Noi
HN
historical_63
2,018
584.3
final
thousand_tons
1
Ha Noi
HN
historical_63
2,019
532.6
final
thousand_tons
1
Ha Noi
HN
historical_63
2,020
518.5
final
thousand_tons
1
Ha Noi
HN
historical_63
2,021
532.7
final
thousand_tons
1
Ha Noi
HN
historical_63
2,022
515.3
final
thousand_tons
1
Ha Noi
HN
historical_63
2,023
517.9
final
thousand_tons
1
Ha Noi
HN
historical_63
2,024
508.7
preliminary
thousand_tons
2
Ha Giang
HG
historical_63
1,995
16
final
thousand_tons
2
Ha Giang
HG
historical_63
1,996
17.6
final
thousand_tons
2
Ha Giang
HG
historical_63
1,997
21.1
final
thousand_tons
2
Ha Giang
HG
historical_63
1,998
22.4
final
thousand_tons
2
Ha Giang
HG
historical_63
1,999
25.6
final
thousand_tons
2
Ha Giang
HG
historical_63
2,000
31.5
final
thousand_tons
2
Ha Giang
HG
historical_63
2,001
35.2
final
thousand_tons
2
Ha Giang
HG
historical_63
2,002
38.7
final
thousand_tons
2
Ha Giang
HG
historical_63
2,003
39.8
final
thousand_tons
2
Ha Giang
HG
historical_63
2,004
41.1
final
thousand_tons
2
Ha Giang
HG
historical_63
2,005
43.1
final
thousand_tons
2
Ha Giang
HG
historical_63
2,006
42.5
final
thousand_tons
2
Ha Giang
HG
historical_63
2,007
43.5
final
thousand_tons
2
Ha Giang
HG
historical_63
2,008
44.3
final
thousand_tons
2
Ha Giang
HG
historical_63
2,009
48.4
final
thousand_tons
2
Ha Giang
HG
historical_63
2,010
48.7
final
thousand_tons
2
Ha Giang
HG
historical_63
2,011
54.2
final
thousand_tons
2
Ha Giang
HG
historical_63
2,012
52.4
final
thousand_tons
2
Ha Giang
HG
historical_63
2,013
54.2
final
thousand_tons
2
Ha Giang
HG
historical_63
2,014
53.1
final
thousand_tons
2
Ha Giang
HG
historical_63
2,015
53.5
final
thousand_tons
2
Ha Giang
HG
historical_63
2,016
52.6
final
thousand_tons
2
Ha Giang
HG
historical_63
2,017
52.6
final
thousand_tons
2
Ha Giang
HG
historical_63
2,018
52.8
final
thousand_tons
2
Ha Giang
HG
historical_63
2,019
53.3
final
thousand_tons
2
Ha Giang
HG
historical_63
2,020
53.2
final
thousand_tons
2
Ha Giang
HG
historical_63
2,021
53.7
final
thousand_tons
2
Ha Giang
HG
historical_63
2,022
54
final
thousand_tons
2
Ha Giang
HG
historical_63
2,023
54.4
final
thousand_tons
2
Ha Giang
HG
historical_63
2,024
53.9
preliminary
thousand_tons
4
Cao Bang
CB
historical_63
1,995
11.4
final
thousand_tons
4
Cao Bang
CB
historical_63
1,996
11
final
thousand_tons
4
Cao Bang
CB
historical_63
1,997
12.2
final
thousand_tons
4
Cao Bang
CB
historical_63
1,998
12.1
final
thousand_tons
4
Cao Bang
CB
historical_63
1,999
14.7
final
thousand_tons
4
Cao Bang
CB
historical_63
2,000
16.4
final
thousand_tons
4
Cao Bang
CB
historical_63
2,001
15.6
final
thousand_tons
4
Cao Bang
CB
historical_63
2,002
15.1
final
thousand_tons
4
Cao Bang
CB
historical_63
2,003
16.4
final
thousand_tons
4
Cao Bang
CB
historical_63
2,004
16.1
final
thousand_tons
End of preview.

Vietnam provinces spring rice production

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

Files

provinces (1863 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 lua dong xuan 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_spring_rice_production,
  title = {Vietnam provinces spring rice production},
  author = {{National Statistics Office of Vietnam}},
  note = {Cleaned long panel. Unit: thousand tons.},
  year = {2024}
}

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