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electricsheepasia/asia-ilo-sdg-b852-sex-age-rt-sdg-indicator-8-5-2-unemployment-rate-by-sex-and-a

SDG indicator 8.5.2 - Unemployment rate by sex and age -- 19th ICLS (%) | Asia (ILOSTAT) 🌏 1,374 observations Β· 26 Asia countries Β· 2014–2025 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,374 observations of Unemployment data across 26 Asia countries, spanning 2014–2025, 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-sdg-b852-sex-age-rt-sdg-indicator-8-5-2-unemployment-rate-by-sex-and-a.

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Dataset Card

SDG indicator 8.5.2 - Unemployment rate by sex and age -- 19th ICLS (%) | Asia (ILOSTAT)

🌏 1,374 observations Β· 26 Asia countries Β· 2014–2025 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 1,374 observations of Unemployment data across 26 Asia countries, spanning 2014–2025, 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: Unemployment

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=SDG_B852_SEX_AGE_RT 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

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

CountryRowsFirst yearLast year
JPN10820142025
CYP10820142025
KOR10820142025
ISR9920142024
SGP9920142024
SAU9620142025
QAT8420142024
ARE8120162024
JOR7220172024
ARM6320182024
TWN6320142020
MNG5420192024
VNM4520202024
GEO4520202024
KHM3620192023
...11 more countries

Indicators (sample)

  • β€”SDG_B852_SEX_AGE_RT β€” SDG indicator 8.5.2 - Unemployment rate by sex and age -- 19th ICLS (%)

Schema

ColumnTypeDescriptionExample
ref_areastringISO 3166-1 alpha-3 country codeAFG
ref_area.labelstringCountry name in EnglishAfghanistan
sourcestringILOSTAT source code (e.g. labour force survey)BA:15715
source.labelstringSource name in EnglishLFS - Labour Force Survey
indicatorstringILOSTAT indicator codeSDG_B852_SEX_AGE_RT
indicator.labelstringIndicator name in EnglishSDG indicator 8.5.2 - Unemployment ra…
sexstringDisaggregation by sex (SEXT = total, SEXM = male, SEX_F = female)SEX_T
sex.labelstringβ€”Total
classif1stringFirst classification variable (age, education, status, etc.)AGE_YTHADULT_YGE15
classif1.labelstringβ€”Age (Youth, adults): 15+
timeint64Observation year2021
obs_valuefloat64Observed indicator value (unit varies β€” see indicator definition)13.2
obs_statusstringObservation status flag (e.g. provisional, unreliable)B
obs_status.labelstringβ€”Break in series
note_classifstringβ€”β€”
note_classif.labelstringβ€”β€”
note_indicatorstringβ€”I11:264
note_indicator.labelstringβ€”Break in series: Methodology revised
note_sourcestringβ€”R1:3513_S3:8
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-sdg-b852-sex-age-rt-sdg-indicator-8-5-2-unemployment-rate-by-sex-and-a")
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"] == "SDG_B852_SEX_AGE_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="SDG_B852_SEX_AGE_RT")

Pivot to country Γ— year matrix

python
matrix = (df[df["indicator"] == "SDG_B852_SEX_AGE_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

bibtex
@misc{asia_ilo_sdg_b852_sex_age_rt_sdg_indicator_8_5_2_unemployment_rate_by_sex_and_a_2025,
  title        = {SDG indicator 8.5.2 - Unemployment rate by sex and age -- 19th ICLS (%) | Asia (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2025},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_B852_SEX_AGE_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-ilo-sdg-b852-sex-age-rt-sdg-indicator-8-5-2-unemployment-rate-by-sex-and-a}}
}

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 2026-05-25 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=SDGB852SEXAGERT