electricsheepafrica/africa-ilo-pop-2ldr-noc-rt-labour-dependency-ratio-ilo-modelled-estimates-nov

Labour dependency ratio -- ILO modelled estimates, Nov. 2025 | Africa (ILOSTAT)

🌍 1,952 observations · 53 Africa countries · 1991–2027 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 1,952 observations of Population data across 53 Africa countries, spanning 1991–2027, 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_2LDR_NOC_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

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

Country	Rows	First year	Last year
AGO	37	1991	2027
BDI	37	1991	2027
BEN	37	1991	2027
BFA	37	1991	2027
BWA	37	1991	2027
CAF	37	1991	2027
CIV	37	1991	2027
CMR	37	1991	2027
COD	37	1991	2027
COG	37	1991	2027
COM	37	1991	2027
CPV	37	1991	2027
DJI	37	1991	2027
DZA	37	1991	2027
EGY	37	1991	2027
...	38 more countries

Indicators (sample)

• POP_2LDR_NOC_RT — Labour dependency ratio -- ILO modelled estimates, Nov. 2025

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_2LDR_NOC_RT
indicator.label	string	Indicator name in English	Labour dependency ratio -- ILO modell…
time	int64	Observation year	2027
obs_value	float64	Observed indicator value (unit varies — see indicator definition)	1.771

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-2ldr-noc-rt-labour-dependency-ratio-ilo-modelled-estimates-nov")
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_2LDR_NOC_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="POP_2LDR_NOC_RT")

Pivot to country × year matrix

matrix = (df[df["indicator"] == "POP_2LDR_NOC_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

@misc{africa_ilo_pop_2ldr_noc_rt_labour_dependency_ratio_ilo_modelled_estimates_nov_2027,
  title        = {Labour dependency ratio -- ILO modelled estimates, Nov. 2025 | Africa (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2027},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=POP_2LDR_NOC_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ilo-pop-2ldr-noc-rt-labour-dependency-ratio-ilo-modelled-estimates-nov}}
}

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_2LDR_NOC_RT