electricsheepafrica/africa-uganda-number-of-gbv-survivors-who-reported-to-a-health-facility-bfecb167

Number of GBV survivors who reported to a health facility 2017- 2020 | Africa (Uganda official open data)

74 rows - 1 Africa country - 2017-2022 - 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: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	74	2017	2022	Uganda

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.	ubos-stat-ac5e43f2c4c9a3:sheet1:0
country_iso3	string	ISO3 country code.	UGA
country_name	string	Country name.	Uganda
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet1
abim	string	Source column.	Adjumani
d_145	float64	Source column.	693.0
d_134	float64	Source column.	867.0
d_122	float64	Source column.	698.0
d_74	float64	Source column.	685.0
jinja	string	Source column.	Kaabong
d_858	float64	Source column.	564.0
d_968	float64	Source column.	342.0
d_1251	float64	Source column.	127.0
d_572	float64	Source column.	156.0
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.	2022
source_period_label	string	Human-readable period inferred from source resource metadata.	2017-2022
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-ac5e43f2c4c9a3
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-bfecb167")
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_bfecb167_2022,
  title        = {Number of GBV survivors who reported to a health facility 2017- 2020 | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2022},
  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-bfecb167}}
}

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