electricsheepafrica/africa-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 | Africa (ILOSTAT)

🌍 1,644 observations · 54 Africa countries · 2000–2024 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 1,644 observations of Social protection data across 54 Africa 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: 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 Africa 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

54 Africa countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
CPV	130	2000	2023
MRT	75	2000	2024
ETH	55	2002	2024
EGY	54	2014	2022
MOZ	54	2000	2022
NGA	54	2015	2022
RWA	43	2000	2023
SSD	40	2019	2023
STP	40	2000	2022
MLI	40	2000	2022
GHA	40	2000	2023
CMR	40	2000	2022
BFA	39	2000	2022
KEN	38	2000	2022
BWA	37	2000	2022
...	39 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	AGO
ref_area.label	string	Country name in English	Angola
source	string	ILOSTAT source code (e.g. labour force survey)	XA:6579
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	2022
obs_value	float64	Observed indicator value (unit varies — see indicator definition)	8.7
obs_status	string	Observation status flag (e.g. provisional, unreliable)	—
obs_status.label	string	—	—
note_classif	string	—	C15:6331
note_classif.label	string	—	Social security coverage: National es…

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("electricsheepafrica/africa-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

kenya = df[df["ref_area"] == "KEN"]

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{africa_ilo_sdg_0131_sex_soc_rt_sdg_indicator_1_3_1_proportion_of_population_cover_2024,
  title        = {SDG indicator 1.3.1 - Proportion of population covered by social protection floors/systems | Africa (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2024},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0131_SEX_SOC_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-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 Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa 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/electricsheepafrica

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Provenance: ingested 2026-05-26 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_0131_SEX_SOC_RT