electricsheepafrica/africa-central-african-republic-central-african-republic-humanitarian-needs-98692b4d

Central African Republic: Humanitarian Needs | Africa (Central African Republic official open data)

702 rows - 1 Africa country - 2024 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV 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: Central African Republic: Humanitarian Needs
• Publisher: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
• Resource: caf_hpc_needs_api_2024.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CAF	702	2024	2024	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.	0550ba1c-6268-48e8-a439-ab96b9638f96:0
country_iso3	category	ISO3 country code.	CAF
country_name	category	Country name.	Central African Republic
year	Int64	Observation year.	2024
admin_1_pcode	string	Source column.	#adm1+code
admin_1_name	string	Source column.	#adm1+name
admin_2_pcode	string	Source column.	#adm2+code
admin_2_name	string	Source column.	#adm2+name
description	string	Source column.	#sector+description
cluster	string	Source column.	#sector+cluster+code
category	string	Source column.	#category
population	float64	Source column.	``
in_need	float64	Source column.	``
targeted	float64	Source column.	``
affected	float64	Source column.	``
reached	string	Source column.	#reached
info	string	Source column.	#meta+info
source_period_start_year	Int64	First year inferred from source resource metadata.	2024
source_period_end_year	Int64	Last year inferred from source resource metadata.	2024
source_period_label	category	Human-readable period inferred from source resource metadata.	2024
source_provider	category	Publishing organization.	OCHA Humanitarian Programme Cycle Tools (HPC Tools)
source_dataset	category	Source package title.	Central African Republic: Humanitarian Needs
source_resource	category	Source resource title.	caf_hpc_needs_api_2024.csv
source_package_id	category	CKAN package UUID.	42466881-a63d-4d2a-bc80-065c42979905
source_resource_id	category	CKAN resource UUID.	0550ba1c-6268-48e8-a439-ab96b9638f96
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/42466881-a63d-4d2a-bc80-065c42979905/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T23:28:30Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-central-african-republic-humanitarian-needs-98692b4d")
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_central_african_republic_humanitarian_needs_9869_2024,
  title        = {Central African Republic: Humanitarian Needs | Africa (Central African Republic official open data)},
  author       = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
  year         = {2024},
  url          = {https://data.humdata.org/dataset/central-african-republic-humanitarian-needs},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-central-african-republic-humanitarian-needs-98692b4d}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Humanitarian Programme Cycle Tools (HPC Tools). 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/42466881-a63d-4d2a-bc80-065c42979905/resource/0550ba1c-6268-48e8-a439-ab96b9638f96/download/caf_hpc_needs_api_2024.csv