electricsheepasia/asia-ilo-sdg-0852-sex-dsb-rt-sdg-indicator-8-5-2-unemployment-rate-by-sex-and-d

SDG indicator 8.5.2 - Unemployment rate by sex and disability status (%) | Asia (ILOSTAT)

🌏 1,108 observations · 22 Asia countries · 2000–2024 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 1,108 observations of Unemployment data across 22 Asia countries, spanning 2000–2024, 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: Unemployment

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=SDG_0852_SEX_DSB_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

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

Country	Rows	First year	Last year
CYP	176	2005	2024
MNG	161	2006	2024
ARM	153	2007	2023
IDN	78	2010	2023
ISR	72	2016	2023
KHM	63	2009	2023
LKA	58	2018	2024
PSE	45	2018	2022
THA	38	2007	2019
BGD	35	2011	2024
TLS	33	2015	2022
MYS	27	2020	2022
IRQ	25	2007	2021
AFG	23	2017	2021
TJK	22	2003	2016
...	7 more countries

Indicators (sample)

• SDG_0852_SEX_DSB_RT — SDG indicator 8.5.2 - Unemployment rate by sex and disability status (%)

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	SDG_0852_SEX_DSB_RT
indicator.label	string	Indicator name in English	SDG indicator 8.5.2 - Unemployment ra…
sex	string	Disaggregation by sex (SEX_T = total, SEX_M = male, SEX_F = female)	SEX_T
sex.label	string	—	Total
classif1	string	First classification variable (age, education, status, etc.)	DSB_STATUS_TOTAL
classif1.label	string	—	Disability status: Total
time	int64	Observation year	2021
obs_value	float64	Observed indicator value (unit varies — see indicator definition)	5.679
obs_status	string	Observation status flag (e.g. provisional, unreliable)	B
obs_status.label	string	—	Break in series
note_classif	string	—	C14:6260
note_classif.label	string	—	Nonstandard definition of disability:…
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-sdg-0852-sex-dsb-rt-sdg-indicator-8-5-2-unemployment-rate-by-sex-and-d")
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"] == "SDG_0852_SEX_DSB_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="SDG_0852_SEX_DSB_RT")

Pivot to country × year matrix

matrix = (df[df["indicator"] == "SDG_0852_SEX_DSB_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

@misc{asia_ilo_sdg_0852_sex_dsb_rt_sdg_indicator_8_5_2_unemployment_rate_by_sex_and_d_2024,
  title        = {SDG indicator 8.5.2 - Unemployment rate by sex and disability status (%) | Asia (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2024},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0852_SEX_DSB_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-ilo-sdg-0852-sex-dsb-rt-sdg-indicator-8-5-2-unemployment-rate-by-sex-and-d}}
}

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

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Provenance: ingested 2026-05-25 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0852_SEX_DSB_RT