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Datasets:
letrinhan
/
vn-provinces-maize-yield

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
21.1
final
quintal_per_ha
0
Viet Nam
VN
national
1,996
25
final
quintal_per_ha
0
Viet Nam
VN
national
1,997
24.9
final
quintal_per_ha
0
Viet Nam
VN
national
1,998
24.8
final
quintal_per_ha
0
Viet Nam
VN
national
1,999
25.3
final
quintal_per_ha
0
Viet Nam
VN
national
2,000
27.5
final
quintal_per_ha
0
Viet Nam
VN
national
2,001
29.6
final
quintal_per_ha
0
Viet Nam
VN
national
2,002
30.8
final
quintal_per_ha
0
Viet Nam
VN
national
2,003
34.4
final
quintal_per_ha
0
Viet Nam
VN
national
2,004
34.6
final
quintal_per_ha
0
Viet Nam
VN
national
2,005
36
final
quintal_per_ha
0
Viet Nam
VN
national
2,006
37.3
final
quintal_per_ha
0
Viet Nam
VN
national
2,007
39.3
final
quintal_per_ha
0
Viet Nam
VN
national
2,008
40.1
final
quintal_per_ha
0
Viet Nam
VN
national
2,009
40.1
final
quintal_per_ha
0
Viet Nam
VN
national
2,010
41.1
final
quintal_per_ha
0
Viet Nam
VN
national
2,011
43.1
final
quintal_per_ha
0
Viet Nam
VN
national
2,012
43
final
quintal_per_ha
0
Viet Nam
VN
national
2,013
44.4
final
quintal_per_ha
0
Viet Nam
VN
national
2,014
44.1
final
quintal_per_ha
0
Viet Nam
VN
national
2,015
44.8
final
quintal_per_ha
0
Viet Nam
VN
national
2,016
45.5
final
quintal_per_ha
0
Viet Nam
VN
national
2,017
46.5
final
quintal_per_ha
0
Viet Nam
VN
national
2,018
47.2
final
quintal_per_ha
0
Viet Nam
VN
national
2,019
48
final
quintal_per_ha
0
Viet Nam
VN
national
2,020
48.4
final
quintal_per_ha
0
Viet Nam
VN
national
2,021
49.3
final
quintal_per_ha
0
Viet Nam
VN
national
2,022
49.9
final
quintal_per_ha
0
Viet Nam
VN
national
2,023
50.2
final
quintal_per_ha
0
Viet Nam
VN
national
2,024
50.5
preliminary
quintal_per_ha
1
Ha Noi
HN
historical_63
1,995
22.7
final
quintal_per_ha
1
Ha Noi
HN
historical_63
1,996
27.9
final
quintal_per_ha
1
Ha Noi
HN
historical_63
1,997
30.9
final
quintal_per_ha
1
Ha Noi
HN
historical_63
1,998
26.3
final
quintal_per_ha
1
Ha Noi
HN
historical_63
1,999
26.6
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,000
26.2
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,001
27.6
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,002
29.1
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,003
31.2
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,004
31
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,005
29.7
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,006
31.2
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,007
32.4
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,008
42.9
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,009
40.8
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,010
45
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,011
46
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,012
48.5
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,013
48.3
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,014
48.5
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,015
48.6
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,016
48.8
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,017
49.4
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,018
49.7
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,019
50.3
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,020
51.6
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,021
52.7
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,022
53.2
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,023
52.9
final
quintal_per_ha
1
Ha Noi
HN
historical_63
2,024
50.6
preliminary
quintal_per_ha
2
Ha Giang
HG
historical_63
1,995
12
final
quintal_per_ha
2
Ha Giang
HG
historical_63
1,996
14.1
final
quintal_per_ha
2
Ha Giang
HG
historical_63
1,997
14.1
final
quintal_per_ha
2
Ha Giang
HG
historical_63
1,998
15.4
final
quintal_per_ha
2
Ha Giang
HG
historical_63
1,999
15.7
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,000
17.2
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,001
18.3
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,002
19.5
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,003
19.5
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,004
20.5
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,005
21
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,006
20.9
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,007
20.9
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,008
24.1
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,009
26.2
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,010
28.6
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,011
31.1
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,012
32.1
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,013
33.6
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,014
32.9
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,015
34
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,016
34.6
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,017
34.7
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,018
35.6
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,019
35.4
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,020
36.3
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,021
36.8
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,022
37
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,023
35.2
final
quintal_per_ha
2
Ha Giang
HG
historical_63
2,024
36.3
preliminary
quintal_per_ha
4
Cao Bang
CB
historical_63
1,995
17
final
quintal_per_ha
4
Cao Bang
CB
historical_63
1,996
17.9
final
quintal_per_ha
4
Cao Bang
CB
historical_63
1,997
20.4
final
quintal_per_ha
4
Cao Bang
CB
historical_63
1,998
20.1
final
quintal_per_ha
4
Cao Bang
CB
historical_63
1,999
20.8
final
quintal_per_ha
4
Cao Bang
CB
historical_63
2,000
24.1
final
quintal_per_ha
4
Cao Bang
CB
historical_63
2,001
24.4
final
quintal_per_ha
4
Cao Bang
CB
historical_63
2,002
24.9
final
quintal_per_ha
4
Cao Bang
CB
historical_63
2,003
26
final
quintal_per_ha
4
Cao Bang
CB
historical_63
2,004
25.8
final
quintal_per_ha
End of preview.

Vietnam provinces maize yield

Provincial and regional maize (ngo) yield (quintals per hectare). 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 (1866 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: Nang suat ngo 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_maize_yield,
  title = {Vietnam provinces maize yield},
  author = {{National Statistics Office of Vietnam}},
  note = {Cleaned long panel. Unit: quintals per hectare (ta/ha).},
  year = {2024}
}

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