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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:
  - 10K<n<100K
tags:
  - tabular
  - africa
  - ilostat
  - population
  - ilo
  - labour
  - employment
pretty_name: >-
  Youth working-age population by sex, age and forms of transition (thousands) |
  Africa (ILOSTAT)

Youth working-age population by sex, age and forms of transition (thousands) | Africa (ILOSTAT)

🌍 10,238 observations · 28 Africa countries · 2012–2025 · Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset contains 10,238 observations of Population data across 28 Africa countries, spanning 2012–2025, 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: Population

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=POP_3WAP_SEX_AGE_TRA_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

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

Country Rows First year Last year
ZMB 1,091 2012 2024
ZAF 1,080 2015 2024
RWA 972 2017 2025
SEN 756 2015 2024
EGY 652 2012 2019
UGA 552 2012 2021
ZWE 432 2019 2024
MWI 429 2012 2024
NAM 427 2012 2018
LBR 339 2012 2017
NGA 336 2022 2024
MUS 324 2013 2016
GMB 324 2012 2025
SYC 303 2020 2024
TGO 230 2012 2014
... 13 more countries

Indicators (sample)

  • POP_3WAP_SEX_AGE_TRA_NB — Youth working-age population by sex, age and forms of transition (thousands)

Schema

Column Type Description Example
ref_area string ISO 3166-1 alpha-3 country code BEN
ref_area.label string Country name in English Benin
source string ILOSTAT source code (e.g. labour force survey) BX:6368
source.label string Source name in English HS - School to Work Transition Survey
indicator string ILOSTAT indicator code POP_3WAP_SEX_AGE_TRA_NB
indicator.label string Indicator name in English Youth working-age population by sex, …
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.) AGE_YTHBANDS_Y15-29
classif1.label string Age (Youth bands): 15-29
classif2 string Second classification variable where applicable TRA_FORMS_TOTAL
classif2.label string Transition forms: Total
time int64 Observation year 2012
obs_value float64 Observed indicator value (unit varies — see indicator definition) 2853.882
obs_status string Observation status flag (e.g. provisional, unreliable) U
obs_status.label string Unreliable
note_indicator string I11:264
note_indicator.label string Break in series: Methodology revised
note_source string R1:3513_T3:2481
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("electricsheepafrica/africa-ilo-pop-3wap-sex-age-tra-nb-youth-working-age-population-by-sex-age-and-forms")
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_3WAP_SEX_AGE_TRA_NB"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="POP_3WAP_SEX_AGE_TRA_NB")

Pivot to country × year matrix

matrix = (df[df["indicator"] == "POP_3WAP_SEX_AGE_TRA_NB"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

@misc{africa_ilo_pop_3wap_sex_age_tra_nb_youth_working_age_population_by_sex_age_and_forms_2025,
  title        = {Youth working-age population by sex, age and forms of transition (thousands) | Africa (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2025},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=POP_3WAP_SEX_AGE_TRA_NB},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ilo-pop-3wap-sex-age-tra-nb-youth-working-age-population-by-sex-age-and-forms}}
}

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


Provenance: ingested 2026-05-27 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=POP_3WAP_SEX_AGE_TRA_NB