README.md

---
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](https://huggingface.co/electricsheepafrica)

![rows](https://img.shields.io/badge/rows-5-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![years](https://img.shields.io/badge/years-2015-2019-orange)
![indicators](https://img.shields.io/badge/indicators-1-purple)
![license](https://img.shields.io/badge/license-other-lightgrey)

## 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](https://www.ubos.org/explore-statistics/0/)
- **Publisher:** Uganda Bureau of Statistics
- **Resource:** [Number of GBV Survivors reporting to health facilities](https://www.ubos.org/wp-content/uploads/statistics/Number_of_GBV_Survivors_reporting_to_health_facilities.xlsx)
- **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

```python
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

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

### 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_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](https://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