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electricsheepasia/asia-ilo-pop-xnas-sex-crs-nb-stock-of-nationals-abroad-by-sex-and-country-of-re

Stock of nationals abroad by sex and country of residence (thousands) | Asia (ILOSTAT) 🌏 401 observations · 18 Asia countries · 1993–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 401 observations of Nationals abroad data across 18 Asia countries, spanning 1993–2024, covering 1 distinct indicators. About the source ILOSTAT is the ILO's central statistics database, the leading global source for labour statistics. It… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-ilo-pop-xnas-sex-crs-nb-stock-of-nationals-abroad-by-sex-and-country-of-re.

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Dataset Card

Stock of nationals abroad by sex and country of residence (thousands) | Asia (ILOSTAT)

🌏 401 observations · 18 Asia countries · 1993–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 401 observations of Nationals abroad data across 18 Asia countries, spanning 1993–2024, covering 1 distinct indicators.

About the source

ILOSTAT is the ILO's central statistics database, the leading global source for labour statistics. It compiles indicators across employment, unemployment, wages, working time, child labour, informal economy, social protection, occupational injuries, and SDG decent work targets — drawing on national labour force surveys, household income surveys, establishment surveys, and administrative records. Coverage spans 200+ economies, with the ILO's Department of Statistics responsible for harmonisation.

  • —Source: ILOSTAT
  • —Publisher: International Labour Organization (ILO)
  • —License: cc-by-4.0
  • —Topic: Nationals abroad

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=POP_XNAS_SEX_CRS_NB and filtered to Asia ISO3 country codes. ILOSTAT harmonises raw survey microdata using ICLS (International Conference of Labour Statisticians) definitions; sources are flagged in the source.label column for traceability.

Geographic coverage

18 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
PHL6619932014
SGP6020032022
VNM4220202022
ARM3920102021
JPN3720172024
MNG2720102020
NPL2420112017
LKA2120182018
MMR2120142014
TJK1520182023
KOR1420222023
THA820112024
IND820122018
KWT620052011
PAK420122017
...3 more countries

Indicators (sample)

  • —POP_XNAS_SEX_CRS_NB — Stock of nationals abroad by sex and country of residence (thousands)

Schema

ColumnTypeDescriptionExample
ref_areastringISO 3166-1 alpha-3 country codeARM
ref_area.labelstringCountry name in EnglishArmenia
sourcestringILOSTAT source code (e.g. labour force survey)BA:867
source.labelstringSource name in EnglishLFS - Household Labour Force Survey
indicatorstringILOSTAT indicator codePOP_XNAS_SEX_CRS_NB
indicator.labelstringIndicator name in EnglishStock of nationals abroad by sex and …
sexstringDisaggregation by sex (SEXT = total, SEXM = male, SEX_F = female)SEX_T
sex.labelstring—Total
classif1stringFirst classification variable (age, education, status, etc.)CRS_RES_TOTAL
classif1.labelstring—Residence: Total
timeint64Observation year2021
obs_valuefloat64Observed indicator value (unit varies — see indicator definition)5.605
note_classifstring—C6:1488
note_classif.labelstring—Nonstandard age group: Excluding unde…
note_indicatorstring—T36:3214
note_indicator.labelstring—Definition of migrants: Persons born …
note_sourcestring—S15:6276_S5:40_S12:6057_T3:104
note_source.labelstring—Institution producing the data: Natio…

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • —`sex` (3 unique values): SEX_T, SEX_M, SEX_F

Data quality & caveats

  • —Data is annual frequency. Some indicators also publish monthly or quarterly series — those are not included here.
  • —When an indicator has multiple sources for the same country×year, the ILO-selected 'best source' is used.
  • —Disaggregation columns (sex, classif1, classif2) are non-null only when the indicator publishes that breakdown.

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-ilo-pop-xnas-sex-crs-nb-stock-of-nationals-abroad-by-sex-and-country-of-re")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["ref_area"] == "IDN"]

Time-series for a single indicator

python
sample = (df[df["indicator"] == "POP_XNAS_SEX_CRS_NB"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="POP_XNAS_SEX_CRS_NB")

Pivot to country × year matrix

python
matrix = (df[df["indicator"] == "POP_XNAS_SEX_CRS_NB"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

bibtex
@misc{asia_ilo_pop_xnas_sex_crs_nb_stock_of_nationals_abroad_by_sex_and_country_of_re_2024,
  title        = {Stock of nationals abroad by sex and country of residence (thousands) | Asia (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2024},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=POP_XNAS_SEX_CRS_NB},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-ilo-pop-xnas-sex-crs-nb-stock-of-nationals-abroad-by-sex-and-country-of-re}}
}

License

Released under cc-by-4.0.

Original data © International Labour Organization (ILO). When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepasia


Provenance: ingested 2026-05-28 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=POPXNASSEXCRSNB