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electricsheepasia/asia-ilo-pop-3wap-sex-age-tra-nb-youth-working-age-population-by-sex-age-and-forms

Youth working-age population by sex, age and forms of transition (thousands) | Asia (ILOSTAT) 🌏 10,399 observations Β· 17 Asia countries Β· 1999–2025 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 10,399 observations of Population data across 17 Asia countries, spanning 1999–2025, 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-3wap-sex-age-tra-nb-youth-working-age-population-by-sex-age-and-forms.

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Youth working-age population by sex, age and forms of transition (thousands) | Asia (ILOSTAT)

🌏 10,399 observations Β· 17 Asia countries Β· 1999–2025 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 10,399 observations of Population data across 17 Asia countries, spanning 1999–2025, 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 β€” 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.

  • β€”Source: ILOSTAT
  • β€”Publisher: International Labour Organization (ILO)
  • β€”License: cc-by-4.0
  • β€”Topic: Population

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=POP_3WAP_SEX_AGE_TRA_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

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

CountryRowsFirst yearLast year
CYP2,65019992024
PAK1,18120062021
KOR1,16920152025
JOR84420122024
MNG67420192024
VNM65720132020
GEO63620192024
PSE52420132025
MMR43220152020
KHM33320122019
TLS30920102021
NPL22720132017
LAO21620172022
ARM20520122014
BGD11920132013
...2 more countries

Indicators (sample)

  • β€”POP_3WAP_SEX_AGE_TRA_NB β€” Youth working-age population by sex, age and forms of transition (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)BX:6366
source.labelstringSource name in EnglishHS - School to Work Transition Survey
indicatorstringILOSTAT indicator codePOP_3WAP_SEX_AGE_TRA_NB
indicator.labelstringIndicator name in EnglishYouth working-age population by sex, …
sexstringDisaggregation by sex (SEXT = total, SEXM = male, SEX_F = female)SEX_T
sex.labelstringβ€”Total
classif1stringFirst classification variable (age, education, status, etc.)AGE_YTHBANDS_Y15-29
classif1.labelstringβ€”Age (Youth bands): 15-29
classif2stringSecond classification variable where applicableTRA_FORMS_TOTAL
classif2.labelstringβ€”Transition forms: Total
timeint64Observation year2014
obs_valuefloat64Observed indicator value (unit varies β€” see indicator definition)747.805
obs_statusstringObservation status flag (e.g. provisional, unreliable)U
obs_status.labelstringβ€”Unreliable
note_indicatorstringβ€”I11:264
note_indicator.labelstringβ€”Break in series: Methodology revised
note_sourcestringβ€”R1:3513_T3:2481
note_source.labelstringβ€”Repository: ILO-STATISTICS - Micro da…

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • β€”`sex` (3 unique values): SEX_T, SEX_M, SEX_F

Data quality & caveats

  • β€”Data is annual frequency. Some indicators also publish monthly or quarterly series β€” those are not included here.
  • β€”When an indicator has multiple sources for the same countryΓ—year, the ILO-selected 'best source' is used.
  • β€”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-3wap-sex-age-tra-nb-youth-working-age-population-by-sex-age-and-forms")
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_3WAP_SEX_AGE_TRA_NB"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="POP_3WAP_SEX_AGE_TRA_NB")

Pivot to country Γ— year matrix

python
matrix = (df[df["indicator"] == "POP_3WAP_SEX_AGE_TRA_NB"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

bibtex
@misc{asia_ilo_pop_3wap_sex_age_tra_nb_youth_working_age_population_by_sex_age_and_forms_2025,
  title        = {Youth working-age population by sex, age and forms of transition (thousands) | Asia (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2025},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=POP_3WAP_SEX_AGE_TRA_NB},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-ilo-pop-3wap-sex-age-tra-nb-youth-working-age-population-by-sex-age-and-forms}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-05-27 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=POP3WAPSEXAGETRANB_