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