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metadata
license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - asia
  - ilostat
  - other-measures-of-labour-underutilization
  - ilo
  - labour
  - employment
pretty_name: >-
  Combined rate of unemployment and potential labour force (LU3) by sex (%) |
  Asia (ILOSTAT)

Combined rate of unemployment and potential labour force (LU3) by sex (%) | Asia (ILOSTAT)

🌏 780 observations · 34 Asia countries · 1999–2025 · Repackaged by Electric Sheep Asia

rows countries years indicators license

TL;DR

This dataset contains 780 observations of Other measures of labour underutilization data across 34 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 — 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: Other measures of labour underutilization

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=LUU_XLU3_SEX_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

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

Country Rows First year Last year
CYP 78 1999 2024
PHL 57 2003 2023
VNM 51 2007 2024
KOR 45 2000 2019
LKA 42 2010 2024
TUR 42 2000 2013
THA 39 2010 2024
KGZ 39 2011 2023
PSE 39 2012 2025
ARM 36 2007 2018
BRN 27 2014 2024
ARE 24 2017 2024
IDN 24 2015 2023
JOR 24 2017 2024
SAU 21 2017 2024
... 19 more countries

Indicators (sample)

  • LUU_XLU3_SEX_RT — Combined rate of unemployment and potential labour force (LU3) by sex (%)

Schema

Column Type Description Example
ref_area string ISO 3166-1 alpha-3 country code AFG
ref_area.label string Country name in English Afghanistan
source string ILOSTAT source code (e.g. labour force survey) BA:15715
source.label string Source name in English LFS - Labour Force Survey
indicator string ILOSTAT indicator code LUU_XLU3_SEX_RT
indicator.label string Indicator name in English Combined rate of unemployment and pot…
sex string Disaggregation by sex (SEX_T = total, SEX_M = male, SEX_F = female) SEX_T
sex.label string Total
time int64 Observation year 2021
obs_value float64 Observed indicator value (unit varies — see indicator definition) 12.524
obs_status string Observation status flag (e.g. provisional, unreliable) B
obs_status.label string Break in series
note_indicator string I11:264
note_indicator.label string Break in series: Methodology revised
note_source string R1:3513_S3:8
note_source.label string Repository: ILO-STATISTICS - Micro da…

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

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-ilo-luu-xlu3-sex-rt-combined-rate-of-unemployment-and-potential-labour")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = (df[df["indicator"] == "LUU_XLU3_SEX_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="LUU_XLU3_SEX_RT")

Pivot to country × year matrix

matrix = (df[df["indicator"] == "LUU_XLU3_SEX_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

@misc{asia_ilo_luu_xlu3_sex_rt_combined_rate_of_unemployment_and_potential_labour_2025,
  title        = {Combined rate of unemployment and potential labour force (LU3) by sex (%) | Asia (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2025},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=LUU_XLU3_SEX_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-ilo-luu-xlu3-sex-rt-combined-rate-of-unemployment-and-potential-labour}}
}

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 2026-05-26 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=LUU_XLU3_SEX_RT