electricsheepafrica/africa-cod-ps-caf

Central African Republic - Subnational Population Statistics

Publisher: OCHA Central African Republic · Source: HDX · License: cc-by-igo · Updated: 2026-02-06

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Abstract

Population projection based on the general census of 2003. Latest projection for 2025.

See caveats. Data available for: 2025, 2022, 2021, 2015

Each row in this dataset represents tabular records. Data was last updated on HDX on 2026-02-06. Geographic scope: CAF.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Demographics and population
Unit of observation	Tabular records
Rows (total)	17
Columns	10 (0 numeric, 10 categorical, 0 datetime)
Train split	13 rows
Test split	3 rows
Geographic scope	CAF
Publisher	OCHA Central African Republic
HDX last updated	2026-02-06

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Variables

Demographic — agees_60plus (15,248, 11,828, 2,462).

Identifier / Metadata — adm1_name (Ombella M'Poko, Ouaka, Haut Mbomou), adm1_pcode (CF11, CF43, CF63), esa_source (HDX), esa_processed (2026-04-05).

Other — t_tl (448,465, 347,873, 72,416), f_tl (226,411, 179,771, 37,320), m_tl (222,052, 168,103, 35,096), enfants_00_18 (226,026, 175,330, 36,498), adultes_19_59 (207,189, 160,719, 33,456).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-cod-ps-caf")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
adm1_name	object	0.0%	Ombella M'Poko, Ouaka, Haut Mbomou
adm1_pcode	object	0.0%	CF11, CF43, CF63
t_tl	object	0.0%	448,465, 347,873, 72,416
f_tl	object	0.0%	226,411, 179,771, 37,320
m_tl	object	0.0%	222,052, 168,103, 35,096
enfants_00_18	object	0.0%	226,026, 175,330, 36,498
adultes_19_59	object	0.0%	207,189, 160,719, 33,456
agees_60plus	object	0.0%	15,248, 11,828, 2,462
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-05

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Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from OCHA Central African Republic and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_cod_ps_caf,
  title     = {Central African Republic - Subnational Population Statistics},
  author    = {OCHA Central African Republic},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/cod-ps-caf},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.