Datasets:

electricsheepafrica
/

africa-uganda-number-of-gbv-survivors-reporting-to-health-facilities-baaeb06e

license: other
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - xlsx
  - africa
  - uganda
  - official-statistics
  - open-data
  - health
pretty_name: >-
  Number of GBV Survivors reporting to health facilities | Africa (Uganda
  official open data)

Number of GBV Survivors reporting to health facilities | Africa (Uganda official open data)

5 rows - 1 Africa country - 2015-2019 - 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 reporting to health facilities
Publisher: Uganda Bureau of Statistics
Resource: Number of GBV Survivors reporting to health facilities
Format: XLSX
License: Other open license
Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`UGA`	5	2015	2019	`Uganda`

Indicators or Resource Contents

number-of-gbv-survivors-reporting-to-health-facilities-baaeb06e - Number of GBV Survivors reporting to health facilities

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`number-of-gbv-survivors-reporting-to-health-facilities-baaeb06e`
`indicator_name`	`string`	Human-readable indicator name.	`Number of GBV Survivors reporting to health facilities`
`country_iso3`	`string`	ISO3 country code.	`UGA`
`source_sheet`	`string`	Workbook sheet name, when the source is a spreadsheet.	`Sheet3`
`country_name`	`string`	Country name.	`Uganda`
`year`	`Int64`	Observation year.	`2015`
`value`	`float64`	Numeric observation value.	`101013.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`2021`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2021`
`source_period_label`	`string`	Human-readable period inferred from source resource metadata.	`2021`
`source_provider`	`string`	Publishing organization.	`Uganda Bureau of Statistics`
`source_dataset`	`string`	Source package title.	`Number of GBV Survivors reporting to health facilities`
`source_resource`	`string`	Source resource title.	`Number of GBV Survivors reporting to health facilities`
`source_package_id`	`string`	CKAN package UUID.	`number-of-gbv-survivors-reporting-to-health-facilities-ubos-stat-0e440a6`
`source_resource_id`	`string`	CKAN resource UUID.	`ubos-stat-0e440a6e77074c`
`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-reporting-to-health-facilities-baaeb06e")
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_reporting_to_health_facilities_baaeb06e_2019,
  title        = {Number of GBV Survivors reporting to health facilities | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2019},
  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-reporting-to-health-facilities-baaeb06e}}
}

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

Provenance: ingested 2026-07-21 via the Electric Sheep pipeline. Source URL: https://www.ubos.org/wp-content/uploads/statistics/Number_of_GBV_Survivors_reporting_to_health_facilities.xlsx