electricsheepafrica/africa-chad-economically-active-population-population-active-f1b756ed

Economically Active Population Population Active | Africa (United Nations Economic Commission for Africa)

55 rows - 1 Africa country/area - detected - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 55 rows from United Nations Economic Commission for Africa, covering Economically Active Population Population Active. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: 1-3. Economically active population - Population active

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: source_period_start_year.
• Time coverage basis: source_period_start_year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	55
Countries/areas	1
First period	detected
Last period	detected
Indicators	0
Columns	29
Source format	XLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
TCD	55	detected	detected	Chad

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	a51c367f-0fc7-4e15-bef0-ab70777fdf3c:sheet1:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	TCD
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Chad
source_sheet	string	Source column from the original resource.	Sheet1
algeria	string	Source column from the original resource.	Angola
d_11643	double	Source column from the original resource.	7115.0
d_11926	double	Source column from the original resource.	7366.0
d_12196	double	Source column from the original resource.	7627.0
d_12453	double	Source column from the original resource.	7899.0
d_12693	double	Source column from the original resource.	8182.0
d_12916	double	Source column from the original resource.	8477.0
d_16_84	double	Source column from the original resource.	45.9
d_16_98	double	Source column from the original resource.	45.97
d_17_1	double	Source column from the original resource.	46.04
d_17_22	double	Source column from the original resource.	46.11
d_17_33	double	Source column from the original resource.	46.18
d_17_44	double	Source column from the original resource.	46.25
algerie	string	Source column from the original resource.	Angola
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	string	Source column from the original resource.	``
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	United Nations Economic Commission for Africa
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Economically active population - Population active
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Economically active population - Population active.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	495d4076-3997-4237-bc26-9ceabcc80096
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	a51c367f-0fc7-4e15-bef0-ab70777fdf3c
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/495d4076-3997-4237-bc26-9ceabcc80096...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T22:51:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-economically-active-population-population-active-f1b756ed")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "TCD"]

Time-Series Pattern

if "value" in df.columns and "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: source_period_start_year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: United Nations Economic Commission for Africa
• Publisher: United Nations Economic Commission for Africa
• Portal: https://data.humdata.org
• Resource: Economically active population - Population active.xlsx
• License: CC BY 4.0
• Retrieved/generated: 2026-08-11T01:28:32Z
• Hugging Face repo: electricsheepafrica/africa-chad-economically-active-population-population-active-f1b756ed

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Build demographic profiles
• Normalize indicators per capita
• Join with service-delivery datasets
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_chad_economically_active_population_population_active_f1b756ed_2026,
  title        = {Economically Active Population Population Active | Africa (United Nations Economic Commission for Africa)},
  author       = {United Nations Economic Commission for Africa},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/economically-active-population-population-active},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-economically-active-population-population-active-f1b756ed}}
}

License

Released under CC BY 4.0.

Original data is published by United Nations Economic Commission for Africa. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/economically-active-population-population-active