electricsheepafrica/africa-cameroon-humanitarian-access-indicators-76b51a6d

Humanitarian Access Indicators | Africa (Cameroon official open data)

63 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: Humanitarian Access Indicators
• Publisher: HDX
• Resource: Access Indicators
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CMR	63	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.	8f3f7548-3feb-43e1-b9f3-780332eb0e67:0
country_iso3	category	ISO3 country code.	CMR
country_name	category	Country name.	Cameroon
iso_code	string	Source column.	#country+code
country	string	Source column.	#country+name
of_visas_pending_or_denied	float64	Source column.	``
of_travel_authorizations_or_movements_denied	float64	Source column.	``
number_of_incidents_reported_in_previous_year	float64	Source column.	``
number_of_incidents_reported_since_start_of_year	float64	Source column.	``
number_of_incidents_reported_since_start_of_previous_yea	float64	Source column.	``
of_cerf_projects_affected_by_insecurity_and_inaccessibil	float64	Source column.	``
of_cbpf_projects_affected_by_insecurity_and_inaccessibil	float64	Source column.	``
campaign_vaccine	string	Source column.	#service+name
campaign_vaccine_status	string	Source column.	#status+name
campaign_vaccine_1	string	Source column.	#service+name
campaign_vaccine_status_1	string	Source column.	#status+name
number_of_learners_enrolled_from_pre_primary_to_tertiary	float64	Source column.	``
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.	HDX
source_dataset	category	Source package title.	Humanitarian Access Indicators
source_resource	category	Source resource title.	Access Indicators
source_package_id	category	CKAN package UUID.	81ec32c0-06b8-4fe8-a0e4-34a740b189fd
source_resource_id	category	CKAN resource UUID.	8f3f7548-3feb-43e1-b9f3-780332eb0e67
source_url	category	Original source resource URL.	https://docs.google.com/spreadsheets/d/e/2PACX-1vRSzJzuyVt9i_mkRQ2HbxrUl
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-25T16:58:39Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cameroon-humanitarian-access-indicators-76b51a6d")
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_humanitarian_access_indicators_76b51a6d_2026,
  title        = {Humanitarian Access Indicators | Africa (Cameroon official open data)},
  author       = {HDX},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/access-indicators},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-humanitarian-access-indicators-76b51a6d}}
}

License

Released under CC BY 4.0.

Original data (c) HDX. 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 2026-08-25 via the Electric Sheep pipeline. Source URL: https://docs.google.com/spreadsheets/d/e/2PACX-1vRSzJzuyVt9i_mkRQ2HbxrUl2Lx2VIhkTHQM-laE8NyhQTy70zQTCuFS3PXbhZGAt1l2bkoA4_dAoAP/pub?gid=1565063847&single=true&output=csv