electricsheepafrica/africa-madagascar-madagascar-risk-assessment-indicators-46214ce0

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

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

TL;DR

This dataset packages one official CSV resource from Madagascar 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: Madagascar - Risk Assessment Indicators
• Publisher: HeiGIT (Heidelberg Institute for Geoinformation Technology)
• Resource: MDG_ADM2_cyclone_exposure.csv
• Format: CSV
• License: CC BY-SA
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MDG	119	n/a	n/a	Madagascar

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.	7bad76fd-b85f-4b9d-b85e-fec0cb51b9f0:0
country_iso3	category	ISO3 country code.	MDG
country_name	category	Country name.	Madagascar
adm2_pcode	string	Source column.	MG11101001A
adm_pcode	string	Source column.	MG11101001A
kt34_total_pop_cat1	int64	Source column.	0
kt34_total_pop_cat2	int64	Source column.	0
kt34_total_pop_cat3	int64	Source column.	214985
kt34_female_pop_cat1	int64	Source column.	0
kt34_female_pop_cat2	int64	Source column.	0
kt34_female_pop_cat3	int64	Source column.	107136
kt34_children_u5_cat1	int64	Source column.	0
kt34_children_u5_cat2	int64	Source column.	0
kt34_children_u5_cat3	int64	Source column.	29406
kt34_female_u5_cat1	int64	Source column.	0
kt34_female_u5_cat2	int64	Source column.	0
kt34_female_u5_cat3	int64	Source column.	14503
kt34_elderly_cat1	int64	Source column.	0
kt34_elderly_cat2	int64	Source column.	0
kt34_elderly_cat3	int64	Source column.	7772
kt34_pop_u15_cat1	int64	Source column.	0
kt34_pop_u15_cat2	int64	Source column.	0
kt34_pop_u15_cat3	int64	Source column.	81171
kt34_female_u15_cat1	int64	Source column.	0
kt34_female_u15_cat2	int64	Source column.	0
kt34_female_u15_cat3	int64	Source column.	40056
kt34_wra_pop_cat1	int64	Source column.	0
kt34_wra_pop_cat2	int64	Source column.	0
kt34_wra_pop_cat3	int64	Source column.	53883
kt34_dependency_ratio_cat1	float64	Source column.	0.0
kt34_dependency_ratio_cat2	float64	Source column.	0.0
kt34_dependency_ratio_cat3	float64	Source column.	70.57
kt34_education_count_cat1	int64	Source column.	0
kt34_education_perc_cat1	int64	Source column.	0
kt34_education_count_cat2	int64	Source column.	0
kt34_education_perc_cat2	int64	Source column.	0
kt34_education_count_cat3	int64	Source column.	91
kt34_education_perc_cat3	int64	Source column.	100
kt34_hospitals_count_cat1	int64	Source column.	0
kt34_hospitals_perc_cat1	int64	Source column.	0
kt34_hospitals_count_cat2	int64	Source column.	0
kt34_hospitals_perc_cat2	int64	Source column.	0
kt34_hospitals_count_cat3	int64	Source column.	22
kt34_hospitals_perc_cat3	int64	Source column.	100
kt34_primary_healthcare_count_cat1	int64	Source column.	0
kt34_primary_healthcare_perc_cat1	int64	Source column.	0
kt34_primary_healthcare_count_cat2	int64	Source column.	0
kt34_primary_healthcare_perc_cat2	int64	Source column.	0
kt34_primary_healthcare_count_cat3	int64	Source column.	13
kt34_primary_healthcare_perc_cat3	int64	Source column.	100
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.	Madagascar - Risk Assessment Indicators
source_resource	category	Source resource title.	MDG_ADM2_cyclone_exposure.csv
source_package_id	category	CKAN package UUID.	9ccb6e07-c40b-4c3c-a774-3905d0d6a7bf
source_resource_id	category	CKAN resource UUID.	7bad76fd-b85f-4b9d-b85e-fec0cb51b9f0
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.	2026-08-30T05:38:32Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-madagascar-madagascar-risk-assessment-indicators-46214ce0")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MDG"]

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_madagascar_madagascar_risk_assessment_indicators_46214ce0_2026,
  title        = {Madagascar - Risk Assessment Indicators | Africa (Madagascar official open data)},
  author       = {HeiGIT (Heidelberg Institute for Geoinformation Technology)},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/madagascar---risk-assessment-indicators},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-madagascar-madagascar-risk-assessment-indicators-46214ce0}}
}

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 2026-08-30 via the Electric Sheep pipeline. Source URL: https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/mdg/MDG_ADM2_cyclone_exposure.csv