electricsheepafrica/africa-cameroon-cameroon-risk-assessment-indicators-66b2a0cd

Cameroon - Risk Assessment Indicators | Africa (Cameroon official open data)

58 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Cameroon 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: Cameroon - Risk Assessment Indicators
• Publisher: HeiGIT (Heidelberg Institute for Geoinformation Technology)
• Resource: CMR_ADM2_demographics.csv
• Format: CSV
• License: CC BY-SA
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CMR	58	n/a	n/a	Cameroon

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.	c5418562-bfab-47a1-ae99-2547a96ee38f:0
country_iso3	category	ISO3 country code.	CMR
country_name	category	Country name.	Cameroon
adm2_pcode	string	Source column.	CM008001
adm_pcode	string	Source column.	CM008001
female_pop	int64	Source column.	201355
children_u5	int64	Source column.	64818
female_u5	int64	Source column.	32249
elderly	int64	Source column.	11917
pop_u15	int64	Source column.	182830
female_u15	int64	Source column.	91669
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	HeiGIT (Heidelberg Institute for Geoinformation Technology)
source_dataset	category	Source package title.	Cameroon - Risk Assessment Indicators
source_resource	category	Source resource title.	CMR_ADM2_demographics.csv
source_package_id	category	CKAN package UUID.	3371c7d1-d5c8-4d09-a757-90f52cc01756
source_resource_id	category	CKAN resource UUID.	c5418562-bfab-47a1-ae99-2547a96ee38f
source_url	category	Original source resource URL.	https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-25T16:58:39Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cameroon-cameroon-risk-assessment-indicators-66b2a0cd")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CMR"]

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_cameroon_cameroon_risk_assessment_indicators_66b2a0cd_2026,
  title        = {Cameroon - Risk Assessment Indicators | Africa (Cameroon official open data)},
  author       = {HeiGIT (Heidelberg Institute for Geoinformation Technology)},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/cameroon---risk-assessment-indicators},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-cameroon-risk-assessment-indicators-66b2a0cd}}
}

License

Released under CC BY-SA.

Original data (c) HeiGIT (Heidelberg Institute for Geoinformation Technology). 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

---

Provenance: ingested 2026-08-25 via the Electric Sheep pipeline. Source URL: https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/cmr/CMR_ADM2_demographics.csv