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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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
geo_code int64 | geo_name string | geo_short string | geo_system string | year int64 | value_status string | unit string | in_migration_rate float64 | out_migration_rate float64 | net_migration_rate null |
|---|---|---|---|---|---|---|---|---|---|
0 | Viet Nam | VN | national | 2,005 | final | per_1000_population | 5 | 5 | null |
0 | Viet Nam | VN | national | 2,007 | final | per_1000_population | 7.5 | 7.5 | null |
0 | Viet Nam | VN | national | 2,008 | final | per_1000_population | 6 | 6 | null |
0 | Viet Nam | VN | national | 2,009 | final | per_1000_population | 8.7 | 8.7 | null |
0 | Viet Nam | VN | national | 2,010 | final | per_1000_population | 9.7 | 9.7 | null |
0 | Viet Nam | VN | national | 2,011 | final | per_1000_population | 10.4 | 10.4 | null |
0 | Viet Nam | VN | national | 2,012 | final | per_1000_population | 7.2 | 7.2 | null |
0 | Viet Nam | VN | national | 2,013 | final | per_1000_population | 8.8 | 8.8 | null |
0 | Viet Nam | VN | national | 2,014 | final | per_1000_population | 9.2 | 9.2 | null |
0 | Viet Nam | VN | national | 2,015 | final | per_1000_population | 5.5 | 5.5 | null |
0 | Viet Nam | VN | national | 2,016 | final | per_1000_population | 4.6 | 4.6 | null |
0 | Viet Nam | VN | national | 2,017 | final | per_1000_population | 3.7 | 3.7 | null |
1 | Ha Noi | HN | historical_63 | 2,005 | final | per_1000_population | 13.8 | 5.2 | null |
1 | Ha Noi | HN | historical_63 | 2,007 | final | per_1000_population | 14.8 | 10.5 | null |
1 | Ha Noi | HN | historical_63 | 2,008 | final | per_1000_population | 10.7 | 6.8 | null |
1 | Ha Noi | HN | historical_63 | 2,009 | final | per_1000_population | 13.1 | 3.2 | null |
1 | Ha Noi | HN | historical_63 | 2,010 | final | per_1000_population | 10.8 | 4.9 | null |
1 | Ha Noi | HN | historical_63 | 2,011 | final | per_1000_population | 11 | 6.4 | null |
1 | Ha Noi | HN | historical_63 | 2,012 | final | per_1000_population | 6.1 | 3.3 | null |
1 | Ha Noi | HN | historical_63 | 2,013 | final | per_1000_population | 7.7 | 7.4 | null |
1 | Ha Noi | HN | historical_63 | 2,014 | final | per_1000_population | 7.5 | 7.8 | null |
1 | Ha Noi | HN | historical_63 | 2,015 | final | per_1000_population | 4.7 | 4.1 | null |
1 | Ha Noi | HN | historical_63 | 2,016 | final | per_1000_population | 4.6 | 2.6 | null |
1 | Ha Noi | HN | historical_63 | 2,017 | final | per_1000_population | 3 | 3.3 | null |
1 | Ha Noi | HN | historical_63 | 2,018 | final | per_1000_population | 4.7 | 2.6 | null |
1 | Ha Noi | HN | historical_63 | 2,019 | final | per_1000_population | 8.8 | 2.5 | null |
1 | Ha Noi | HN | historical_63 | 2,020 | final | per_1000_population | 6.26 | 2.53 | null |
1 | Ha Noi | HN | historical_63 | 2,021 | final | per_1000_population | 7.68 | 1.75 | null |
1 | Ha Noi | HN | historical_63 | 2,022 | final | per_1000_population | 4.79 | 2.84 | null |
1 | Ha Noi | HN | historical_63 | 2,023 | final | per_1000_population | 5.85 | 1.96 | null |
1 | Ha Noi | HN | historical_63 | 2,024 | preliminary | per_1000_population | 5.91 | 4.47 | null |
2 | Ha Giang | HG | historical_63 | 2,005 | final | per_1000_population | 0.6 | 0.9 | null |
2 | Ha Giang | HG | historical_63 | 2,007 | final | per_1000_population | 0.9 | 2.2 | null |
2 | Ha Giang | HG | historical_63 | 2,008 | final | per_1000_population | 0.9 | 2.1 | null |
2 | Ha Giang | HG | historical_63 | 2,009 | final | per_1000_population | 2.2 | 3.1 | null |
2 | Ha Giang | HG | historical_63 | 2,010 | final | per_1000_population | 1.9 | 19 | null |
2 | Ha Giang | HG | historical_63 | 2,011 | final | per_1000_population | 2.4 | 3.6 | null |
2 | Ha Giang | HG | historical_63 | 2,012 | final | per_1000_population | 1.3 | 1.7 | null |
2 | Ha Giang | HG | historical_63 | 2,013 | final | per_1000_population | 2.8 | 2.6 | null |
2 | Ha Giang | HG | historical_63 | 2,014 | final | per_1000_population | 1.4 | 2.1 | null |
2 | Ha Giang | HG | historical_63 | 2,015 | final | per_1000_population | 1.1 | 2.7 | null |
2 | Ha Giang | HG | historical_63 | 2,016 | final | per_1000_population | 0.2 | 2.7 | null |
2 | Ha Giang | HG | historical_63 | 2,017 | final | per_1000_population | 0.1 | 1.8 | null |
2 | Ha Giang | HG | historical_63 | 2,018 | final | per_1000_population | 0.1 | 3.4 | null |
2 | Ha Giang | HG | historical_63 | 2,019 | final | per_1000_population | 1 | 4.8 | null |
2 | Ha Giang | HG | historical_63 | 2,020 | final | per_1000_population | 0.71 | 5.44 | null |
2 | Ha Giang | HG | historical_63 | 2,021 | final | per_1000_population | 0.32 | 7.89 | null |
2 | Ha Giang | HG | historical_63 | 2,022 | final | per_1000_population | 0.51 | 10.78 | null |
2 | Ha Giang | HG | historical_63 | 2,023 | final | per_1000_population | 0.21 | 9.86 | null |
2 | Ha Giang | HG | historical_63 | 2,024 | preliminary | per_1000_population | 2.68 | 7.58 | null |
4 | Cao Bang | CB | historical_63 | 2,005 | final | per_1000_population | 4.2 | 4 | null |
4 | Cao Bang | CB | historical_63 | 2,007 | final | per_1000_population | 5.9 | 7 | null |
4 | Cao Bang | CB | historical_63 | 2,008 | final | per_1000_population | 5.2 | 1.5 | null |
4 | Cao Bang | CB | historical_63 | 2,009 | final | per_1000_population | 3.7 | 6.5 | null |
4 | Cao Bang | CB | historical_63 | 2,010 | final | per_1000_population | 4.7 | 9.6 | null |
4 | Cao Bang | CB | historical_63 | 2,011 | final | per_1000_population | 4.6 | 10.1 | null |
4 | Cao Bang | CB | historical_63 | 2,012 | final | per_1000_population | 4.4 | 15.6 | null |
4 | Cao Bang | CB | historical_63 | 2,013 | final | per_1000_population | 8.1 | 8.6 | null |
4 | Cao Bang | CB | historical_63 | 2,014 | final | per_1000_population | 3.3 | 8.2 | null |
4 | Cao Bang | CB | historical_63 | 2,015 | final | per_1000_population | 4 | 4 | null |
4 | Cao Bang | CB | historical_63 | 2,016 | final | per_1000_population | 3.3 | 4.2 | null |
4 | Cao Bang | CB | historical_63 | 2,017 | final | per_1000_population | 1.7 | 4.8 | null |
4 | Cao Bang | CB | historical_63 | 2,018 | final | per_1000_population | 1.9 | 3.6 | null |
4 | Cao Bang | CB | historical_63 | 2,019 | final | per_1000_population | 1.8 | 7.5 | null |
4 | Cao Bang | CB | historical_63 | 2,020 | final | per_1000_population | 2.19 | 11.52 | null |
4 | Cao Bang | CB | historical_63 | 2,021 | final | per_1000_population | 2.5 | 7.29 | null |
4 | Cao Bang | CB | historical_63 | 2,022 | final | per_1000_population | 2.74 | 7.55 | null |
4 | Cao Bang | CB | historical_63 | 2,023 | final | per_1000_population | 2.12 | 9.72 | null |
4 | Cao Bang | CB | historical_63 | 2,024 | preliminary | per_1000_population | 3.84 | 8.23 | null |
6 | Bac Kan | BK | historical_63 | 2,005 | final | per_1000_population | 4.3 | 5 | null |
6 | Bac Kan | BK | historical_63 | 2,007 | final | per_1000_population | 5 | 4.2 | null |
6 | Bac Kan | BK | historical_63 | 2,008 | final | per_1000_population | 2.6 | 3.8 | null |
6 | Bac Kan | BK | historical_63 | 2,009 | final | per_1000_population | 4.7 | 7.1 | null |
6 | Bac Kan | BK | historical_63 | 2,010 | final | per_1000_population | 4.6 | 6.3 | null |
6 | Bac Kan | BK | historical_63 | 2,011 | final | per_1000_population | 4.8 | 6.7 | null |
6 | Bac Kan | BK | historical_63 | 2,012 | final | per_1000_population | 3.1 | 4.6 | null |
6 | Bac Kan | BK | historical_63 | 2,013 | final | per_1000_population | 4.7 | 11.7 | null |
6 | Bac Kan | BK | historical_63 | 2,014 | final | per_1000_population | 4 | 10.1 | null |
6 | Bac Kan | BK | historical_63 | 2,015 | final | per_1000_population | 2.2 | 2.5 | null |
6 | Bac Kan | BK | historical_63 | 2,016 | final | per_1000_population | 1 | 4.4 | null |
6 | Bac Kan | BK | historical_63 | 2,017 | final | per_1000_population | 1.6 | 4.1 | null |
6 | Bac Kan | BK | historical_63 | 2,018 | final | per_1000_population | 1.2 | 3 | null |
6 | Bac Kan | BK | historical_63 | 2,019 | final | per_1000_population | 1.6 | 9.6 | null |
6 | Bac Kan | BK | historical_63 | 2,020 | final | per_1000_population | 0.95 | 4.99 | null |
6 | Bac Kan | BK | historical_63 | 2,021 | final | per_1000_population | 1.42 | 13.43 | null |
6 | Bac Kan | BK | historical_63 | 2,022 | final | per_1000_population | 1.51 | 4.4 | null |
6 | Bac Kan | BK | historical_63 | 2,023 | final | per_1000_population | 0.83 | 10.15 | null |
6 | Bac Kan | BK | historical_63 | 2,024 | preliminary | per_1000_population | 3.85 | 9.76 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,005 | final | per_1000_population | 2.8 | 3.4 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,007 | final | per_1000_population | 2.6 | 6 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,008 | final | per_1000_population | 3.9 | 4.4 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,009 | final | per_1000_population | 2.4 | 8.2 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,010 | final | per_1000_population | 2.8 | 4.7 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,011 | final | per_1000_population | 3.7 | 13.5 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,012 | final | per_1000_population | 2.1 | 3.5 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,013 | final | per_1000_population | 3.3 | 5.1 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,014 | final | per_1000_population | 3.9 | 6.4 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,015 | final | per_1000_population | 1.4 | 3.8 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,016 | final | per_1000_population | 1.4 | 3.3 | null |
8 | Tuyen Quang | TQ | historical_63 | 2,017 | final | per_1000_population | 1.2 | 2.5 | null |
Vietnam provinces migration rates
In-migration, out-migration and net migration rates (per 1000 population). Coverage 2005-2024 for provinces/regions (2006 absent in source). National totals only through 2017 in source. Includes historical Ha Tay. Year 2024 is preliminary. 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 (1199 rows)
data/provinces.csvdata/provinces.dtadata/provinces.xlsx
regions (114 rows)
data/regions.csvdata/regions.dtadata/regions.xlsx
national (12 rows)
data/national.csvdata/national.dtadata/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: Ty suat nhap cu, xuat cu va di cu thuan phan theo dia phuong. Cleaned long panel for research use.
Citation
@misc{nso_vn_provinces_migration_rates,
title = {Vietnam provinces migration rates},
author = {{National Statistics Office of Vietnam}},
note = {Unit: per 1000 population. Columns: in_migration_rate, out_migration_rate, net_migration_rate.},
year = {2024}
}
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