electricsheepafrica/africa-uganda-prison-capacity-and-occupancy-rate-by-region-2019-2023-84c06133

Prison Capacity and Occupancy Rate by region, 2019 -2023 | Africa (Uganda official open data)

15 rows - 1 Africa country - 1923 - 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: Prison Capacity and Occupancy Rate by region, 2019 -2023
• Publisher: Uganda Bureau of Statistics
• Resource: Prison Capacity and Occupancy Rate by region, 2019 -2023
• Format: XLSX
• License: Other open license
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	15	1923	1923	Uganda

Indicators or Resource Contents

• prison-capacity-and-occupancy-rate-by-region-2019-2023-84c06133 - Prison Capacity and Occupancy Rate by region, 2019 -2023

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	prison-capacity-and-occupancy-rate-by-region-2019-2023-84c06133
indicator_name	string	Human-readable indicator name.	Prison Capacity and Occupancy Rate by region, 2019 -2023
country_iso3	string	ISO3 country code.	UGA
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Data
country_name	string	Country name.	Uganda
year	Int64	Observation year.	1923
value	float64	Numeric observation value.	4074.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_kampala	string	Source dimension.	Central
dimension_d_2520	string	Source dimension.	5037
dimension_d_2629	string	Source dimension.	5585
dimension_d_400_8	string	Source dimension.	348
dimension_d_298	string	Source dimension.	253
dimension_column	string	Source dimension.	385.6
dimension_d_390	string	Source dimension.	325.7
dimension_d_411_1	string	Source dimension.	292.2
source_period_start_year	Int64	First year inferred from source resource metadata.	2019
source_period_end_year	Int64	Last year inferred from source resource metadata.	2025
source_period_label	string	Human-readable period inferred from source resource metadata.	2019-2025
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	Prison Capacity and Occupancy Rate by region, 2019 -2023
source_resource	string	Source resource title.	Prison Capacity and Occupancy Rate by region, 2019 -2023
source_package_id	string	CKAN package UUID.	prison-capacity-and-occupancy-rate-by-region-2019-2023-ubos-stat-62553ba
source_resource_id	string	CKAN resource UUID.	ubos-stat-62553ba46efd0a
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/Prison-Capacity-and-O
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-prison-capacity-and-occupancy-rate-by-region-2019-2023-84c06133")
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_prison_capacity_and_occupancy_rate_by_region_2019_2023_84c06133_1923,
  title        = {Prison Capacity and Occupancy Rate by region, 2019 -2023 | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {1923},
  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-prison-capacity-and-occupancy-rate-by-region-2019-2023-84c06133}}
}

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/Prison-Capacity-and-Occupancy-Rate-by-region-2019-2023.xlsx