electricsheepasia/asia-ilo-sdg-0131-sex-soc-rt-sdg-indicator-1-3-1-proportion-of-population-cover

SDG indicator 1.3.1 - Proportion of population covered by social protection floors/systems | Asia (ILOSTAT)

🌏 1,667 observations · 48 Asia countries · 2000–2025 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 1,667 observations of Social protection data across 48 Asia countries, spanning 2000–2025, 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: Social protection

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=SDG_0131_SEX_SOC_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

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

Country	Rows	First year	Last year
MNG	72	2000	2021
TJK	71	2005	2023
ARM	61	2000	2022
CHN	61	2000	2022
KAZ	57	2000	2023
GEO	51	2000	2022
ISR	50	2000	2022
CYP	49	2000	2022
KOR	49	2004	2022
KGZ	49	2000	2022
AZE	47	2000	2023
JPN	45	2000	2020
TWN	43	2005	2023
JOR	42	2000	2022
PHL	40	2000	2022
...	33 more countries

Indicators (sample)

• SDG_0131_SEX_SOC_RT — SDG indicator 1.3.1 - Proportion of population covered by social protection floors/systems by sex and function (%)

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)	XA:6636
source.label	string	Source name in English	ILO - Social Security Inquiry Database
indicator	string	ILOSTAT indicator code	SDG_0131_SEX_SOC_RT
indicator.label	string	Indicator name in English	SDG indicator 1.3.1 - Proportion of p…
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.)	SOC_CONTIG_TOTAL
classif1.label	string	—	Function: Population covered by at le…
time	int64	Observation year	2019
obs_value	float64	Observed indicator value (unit varies — see indicator definition)	7.5
obs_status	string	Observation status flag (e.g. provisional, unreliable)	—
obs_status.label	string	—	—
note_classif	string	—	C15:6326
note_classif.label	string	—	Social security coverage: Estimated b…

Disaggregation dimensions

The following columns provide disaggregation dimensions:

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

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-0131-sex-soc-rt-sdg-indicator-1-3-1-proportion-of-population-cover")
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_0131_SEX_SOC_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="SDG_0131_SEX_SOC_RT")

Pivot to country × year matrix

matrix = (df[df["indicator"] == "SDG_0131_SEX_SOC_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

@misc{asia_ilo_sdg_0131_sex_soc_rt_sdg_indicator_1_3_1_proportion_of_population_cover_2025,
  title        = {SDG indicator 1.3.1 - Proportion of population covered by social protection floors/systems | Asia (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2025},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0131_SEX_SOC_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-ilo-sdg-0131-sex-soc-rt-sdg-indicator-1-3-1-proportion-of-population-cover}}
}

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_0131_SEX_SOC_RT