electricsheepafrica/africa-central-african-republic-projected-population-by-sub-prefecture-and-disaggregated-b-98b2b

Projected population by sub-prefecture and disaggregated by sex and age | Africa (Central African Republic official open data)

197 rows - 1 Africa country - 2019 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Central African Republic as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Projected population by sub-prefecture and disaggregated by sex and age
• Publisher: Central African Republic Education Cluster
• Resource: CAR SADD 2019.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CAF	197	2019	2019	Central African Republic

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	37f8465f-9f6b-46cf-a8b6-d6a8a7e47166:pop-proj2018-sousprefecture:0
country_iso3	category	ISO3 country code.	CAF
country_name	category	Country name.	Central African Republic
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Pop Proj2018_Sousprefecture
year	Int64	Observation year.	2019
prefecture	string	Source column.	#adm1+name
sub_prefecture	string	Source column.	#adm2+name
projection_de_la_population_2018_brute	float64	Source column.	``
refugies_centrafricains	float64	Source column.	``
population_2018_a_utiliser	float64	Source column.	``
hommes	float64	Source column.	``
femmes	float64	Source column.	``
moins_de_18_ans	float64	Source column.	``
d_19_a_59_ans	float64	Source column.	``
d_60_a_plus	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2019
source_period_end_year	Int64	Last year inferred from source resource metadata.	2019
source_period_label	category	Human-readable period inferred from source resource metadata.	2019
source_provider	category	Publishing organization.	Central African Republic Education Cluster
source_dataset	category	Source package title.	Projected population by sub-prefecture and disaggregated by sex and age
source_resource	category	Source resource title.	CAR SADD 2019.xlsx
source_package_id	category	CKAN package UUID.	f7e5dd2d-e5ea-4e6b-b9b9-72a5229be6be
source_resource_id	category	CKAN resource UUID.	37f8465f-9f6b-46cf-a8b6-d6a8a7e47166
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/f7e5dd2d-e5ea-4e6b-b9b9-72a5229be6be/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T23:28:30Z
total	string	Source column.	``
d_3_5_ans	float64	Source column.	``
d_6_11_ans	float64	Source column.	``
d_12_18_ans	float64	Source column.	``
population_2018	float64	Source column.	``
pdi	float64	Source column.	``
rapatrie	float64	Source column.	``
retourne	float64	Source column.	``
communaute_hote	float64	Source column.	``
autre	float64	Source column.	``
pin_education	float64	Source column.	``
pin_aigu_sectoriel	float64	Source column.	``
pin_non_aigu	float64	Source column.	``
garcons_dans_le_besoin	float64	Source column.	``
filles_dans_le_besoin	float64	Source column.	``
target_hrp_2019	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-projected-population-by-sub-prefecture-and-disaggregated-b-98b2b")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CAF"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_central_african_republic_projected_population_by_sub_prefecture_and_disag_2019,
  title        = {Projected population by sub-prefecture and disaggregated by sex and age | Africa (Central African Republic official open data)},
  author       = {Central African Republic Education Cluster},
  year         = {2019},
  url          = {https://data.humdata.org/dataset/population-sadd-car-2019},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-projected-population-by-sub-prefecture-and-disaggregated-b-98b2b}}
}

License

Released under CC BY 4.0.

Original data (c) Central African Republic Education Cluster. 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 Hugging Face. 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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/f7e5dd2d-e5ea-4e6b-b9b9-72a5229be6be/resource/37f8465f-9f6b-46cf-a8b6-d6a8a7e47166/download/car-pin-education-2019.xlsx