electricsheepafrica/africa-togo-hdx-hapi-coordination-context-national-risk-af34bde6

HDX HAPI - Coordination & Context: National Risk | Africa (Togo official open data)

1,910 rows - 1 Africa country - 2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Togo 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: HDX HAPI - Coordination & Context: National Risk
• —Publisher: HDX Humanitarian API Data
• —Resource: Global Coordination & Context: National Risk
• —Format: CSV
• —License: CC BY 4.0
• —Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Indicators or Resource Contents

• —hdx-hapi-coordination-context-national-risk-has-hrp-2060cdf5 - HDX HAPI - Coordination & Context: National Risk - has hrp
• —hdx-hapi-coordination-context-national-risk-in-gho-9ec2aa1a - HDX HAPI - Coordination & Context: National Risk - in gho
• —hdx-hapi-coordination-context-national-risk-risk-class-4b1d2a0f - HDX HAPI - Coordination & Context: National Risk - risk class
• —hdx-hapi-coordination-context-national-risk-global-rank-35ab7bfc - HDX HAPI - Coordination & Context: National Risk - global rank
• —hdx-hapi-coordination-context-national-risk-overall-risk-60041bc1 - HDX HAPI - Coordination & Context: National Risk - overall risk
• —hdx-hapi-coordination-context-national-risk-hazard-exposure-risk-8614df3b - HDX HAPI - Coordination & Context: National Risk - hazard exposure risk
• —hdx-hapi-coordination-context-national-risk-vulnerability-risk-f460988d - HDX HAPI - Coordination & Context: National Risk - vulnerability risk
• —hdx-hapi-coordination-context-national-risk-coping-capacity-risk-41205136 - HDX HAPI - Coordination & Context: National Risk - coping capacity risk
• —hdx-hapi-coordination-context-national-risk-meta-missing-indicators-pct-76a6442c - HDX HAPI - Coordination & Context: National Risk - meta missing indicators pct
• —hdx-hapi-coordination-context-national-risk-meta-avg-recentness-years-8ff53211 - HDX HAPI - Coordination & Context: National Risk - meta avg recentness years

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-togo-hdx-hapi-coordination-context-national-risk-af34bde6")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "TGO"]

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_togo_hdx_hapi_coordination_context_national_risk_af34bde6_2025,
  title        = {HDX HAPI - Coordination & Context: National Risk | Africa (Togo official open data)},
  author       = {HDX Humanitarian API Data},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/hdx-hapi-national-risk},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-togo-hdx-hapi-coordination-context-national-risk-af34bde6}}
}

License

Released under CC BY 4.0.

Original data (c) HDX Humanitarian API Data. 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://data.humdata.org/dataset/856c326d-748c-43c2-89e4-8b25098a7340/resource/0af14f51-8db7-4131-87c9-30479054e629/download/hdxhapinationalriskglobal.csv