Datasetpublic

electricsheepafrica/africa-burundi-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841

UNICEF Eastern and Southern Africa Risks and Hazards- situation | Africa (Burundi official open data) 323 rows - 1 Africa country - 2020-2024 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Burundi 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: UNICEF Eastern and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-burundi-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841.

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Dataset Card

UNICEF Eastern and Southern Africa Risks and Hazards- situation | Africa (Burundi official open data)

323 rows - 1 Africa country - 2020-2024 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Burundi 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: UNICEF Eastern and Southern Africa Risks and Hazards- situation
—Publisher: UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)
—Resource: UNICEF ESARO Situation - Oct 2020.xlsx
—Format: XLSX
—License: CC BY 4.0
—Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`BDI`	323	2020	2024	`Burundi`

Indicators or Resource Contents

—unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-in-23566a55 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - people in need
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-b6706735 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children in need
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-to-0507fc25 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - people to be reached in 2020
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-b913a71f - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children to be reached in 2020
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-fo-86503939 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - people food insecure ipc 3 or above
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-in-f4d4b40a - UNICEF Eastern and Southern Africa Risks and Hazards- situation - people in need of water
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-bec9a2cb - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children needing water
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-acdc44d9 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children with sam burden
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-e96c64c9 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children out of school primary
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-cholera-a-15464551 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - cholera awd confirmed cases
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-malaria-c-3cdd59df - UNICEF Eastern and Southern Africa Risks and Hazards- situation - malaria cases cumulative
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-measles-c-ee96de1d - UNICEF Eastern and Southern Africa Risks and Hazards- situation - measles confirmed cases
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-ebola-con-a390edf4 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - ebola confirmed cases
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-floods-ho-cda87795 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - floods how many affected
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-number-of-b949ec07 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - number of refugees hosted
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-number-of-6552a4de - UNICEF Eastern and Southern Africa Risks and Hazards- situation - number of returnees
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-number-of-b6f1684d - UNICEF Eastern and Southern Africa Risks and Hazards- situation - number of idps
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-inform-ov-d7df2617 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - inform overall ranking 0 21
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-inform-ov-d08e6e04 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - inform overall risk rating 0 10
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-inform-hu-04102211 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - inform human hazard risk 0 10

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-in`
`indicator_name`	`string`	Human-readable indicator name.	`UNICEF Eastern and Southern Africa Risks and Hazards- situation - people`
`country_iso3`	`string`	ISO3 country code.	`BDI`
`source_sheet`	`string`	Workbook sheet name, when the source is a spreadsheet.	`Situation`
`country_name`	`string`	Country name.	`Burundi`
`year`	`Int64`	Observation year.	`2020`
`value`	`float64`	Numeric observation value.	`8400000.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_country`	`string`	Source dimension.	`Ethiopia`
`dimension_other_diseases_specify`	`string`	Source dimension.	`Poliomyelitis (cVDPV2)- 29`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`2020`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2020`
`source_period_label`	`category`	Human-readable period inferred from source resource metadata.	`2020`
`source_provider`	`category`	Publishing organization.	`UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)`
`source_dataset`	`category`	Source package title.	`UNICEF Eastern and Southern Africa Risks and Hazards- situation`
`source_resource`	`category`	Source resource title.	`UNICEF ESARO Situation - Oct 2020.xlsx`
`source_package_id`	`category`	CKAN package UUID.	`aa62515c-54d3-4eb4-8ad5-514584b5272e`
`source_resource_id`	`category`	CKAN resource UUID.	`76b83130-f4e5-48c4-920b-081e156f1270`
`source_url`	`category`	Original source resource URL.	`https://data.humdata.org/dataset/aa62515c-54d3-4eb4-8ad5-514584b5272e/re`
`license_id`	`category`	Source license identifier.	`cc-by`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-08-15T08:23:53Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-burundi-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "BDI"]

Work with indicators

python

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

bibtex

@misc{electric_sheep_africa_africa_burundi_unicef_eastern_and_southern_africa_risks_and_hazards_situa_d16ff8_2024,
  title        = {UNICEF Eastern and Southern Africa Risks and Hazards- situation | Africa (Burundi official open data)},
  author       = {UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)},
  year         = {2024},
  url          = {https://data.humdata.org/dataset/unicef-eastern-and-southern-africa-risks-and-hazards-situation},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-burundi-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841}}
}

License

Released under CC BY 4.0.

Original data (c) UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive). 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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/aa62515c-54d3-4eb4-8ad5-514584b5272e/resource/76b83130-f4e5-48c4-920b-081e156f1270/download/unicef-esaro-situation-oct-2020.xlsx