electricsheepafrica/africa-ilo-pop-2pop-sex-nb-population-by-sex-un-estimates-and-projections-jul

Population by sex -- UN estimates and projections, July 2024 (thousands) | Africa (ILOSTAT)

🌍 6,519 observations · 53 Africa countries · 1990–2030 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 6,519 observations of Population data across 53 Africa countries, spanning 1990–2030, 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: Population

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=POP_2POP_SEX_NB 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

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

Country	Rows	First year	Last year
AGO	123	1990	2030
BDI	123	1990	2030
BEN	123	1990	2030
BFA	123	1990	2030
BWA	123	1990	2030
CAF	123	1990	2030
CIV	123	1990	2030
CMR	123	1990	2030
COD	123	1990	2030
COG	123	1990	2030
COM	123	1990	2030
CPV	123	1990	2030
DJI	123	1990	2030
DZA	123	1990	2030
EGY	123	1990	2030
...	38 more countries

Indicators (sample)

• POP_2POP_SEX_NB — Population by sex -- UN estimates and projections, July 2024 (thousands)

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:2010
source.label	string	Source name in English	ILO - Modelled Estimates
indicator	string	ILOSTAT indicator code	POP_2POP_SEX_NB
indicator.label	string	Indicator name in English	Population by sex -- UN estimates and…
sex	string	Disaggregation by sex (SEX_T = total, SEX_M = male, SEX_F = female)	SEX_T
sex.label	string	—	Total
time	int64	Observation year	2030
obs_value	float64	Observed indicator value (unit varies — see indicator definition)	25924.871

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-pop-2pop-sex-nb-population-by-sex-un-estimates-and-projections-jul")
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"] == "POP_2POP_SEX_NB"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="POP_2POP_SEX_NB")

Pivot to country × year matrix

matrix = (df[df["indicator"] == "POP_2POP_SEX_NB"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

@misc{africa_ilo_pop_2pop_sex_nb_population_by_sex_un_estimates_and_projections_jul_2030,
  title        = {Population by sex -- UN estimates and projections, July 2024 (thousands) | Africa (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2030},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=POP_2POP_SEX_NB},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ilo-pop-2pop-sex-nb-population-by-sex-un-estimates-and-projections-jul}}
}

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 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=POP_2POP_SEX_NB