electricsheepafrica/africa-uganda-number-of-gbv-survivors-who-reported-to-a-health-facility-55b505dc

Number of GBV survivors who reported to a health facility, 2017_2020 | Africa (Uganda official open data)

566 rows - 1 Africa country - 2017-2020 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Uganda 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: Number of GBV survivors who reported to a health facility, 2017_2020
• Publisher: Uganda Bureau of Statistics
• Resource: Number of GBV survivors who reported to a health facility, 2017_2020
• Format: XLSX
• License: Other open license
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	566	2017	2020	Uganda

Indicators or Resource Contents

• number-of-gbv-survivors-who-reported-to-a-health-facility-2017-2020-55b505dc - Number of GBV survivors who reported to a health facility, 2017_2020

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	number-of-gbv-survivors-who-reported-to-a-health-facility-2017-2020-55b5
indicator_name	string	Human-readable indicator name.	Number of GBV survivors who reported to a health facility, 2017_2020
country_iso3	string	ISO3 country code.	UGA
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet27
country_name	string	Country name.	Uganda
year	Int64	Observation year.	2017
value	float64	Numeric observation value.	145.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_district	string	Source dimension.	Abim
source_period_start_year	Int64	First year inferred from source resource metadata.	2017
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	string	Human-readable period inferred from source resource metadata.	2017-2023
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	Number of GBV survivors who reported to a health facility, 2017_2020
source_resource	string	Source resource title.	Number of GBV survivors who reported to a health facility, 2017_2020
source_package_id	string	CKAN package UUID.	number-of-gbv-survivors-who-reported-to-a-health-facility-2017-2020-ubos
source_resource_id	string	CKAN resource UUID.	ubos-stat-8eb1a09f608c65
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/Number_of_GBV_survivo
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-21T21:37:51Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-number-of-gbv-survivors-who-reported-to-a-health-facility-55b505dc")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "UGA"]

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_uganda_number_of_gbv_survivors_who_reported_to_a_health_facility_55b505dc_2020,
  title        = {Number of GBV survivors who reported to a health facility, 2017_2020 | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2020},
  url          = {https://www.ubos.org/explore-statistics/0/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-uganda-number-of-gbv-survivors-who-reported-to-a-health-facility-55b505dc}}
}

License

Released under Other open license.

Original data (c) Uganda Bureau of Statistics. 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 2026-07-21 via the Electric Sheep pipeline. Source URL: https://www.ubos.org/wp-content/uploads/statistics/Number_of_GBV_survivors_who_reported_to_a_health_facility,_2017_2020.xlsx