electricsheepafrica/africa-uganda-number-of-prisoners-by-background-characteristics-2019-202-bf3e19e1

Number of Prisoners by Background Characteristics, 2019-2023 | Africa (Uganda official open data)

24 rows - 1 Africa country - 2019-2025 - 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 Prisoners by Background Characteristics, 2019-2023
• Publisher: Uganda Bureau of Statistics
• Resource: Number of Prisoners by Background Characteristics, 2019-2023
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	24	2019	2025	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-e4f684a786478c:data: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.	Data
d_18_20	string	Source column.	21-30
d_11752	float64	Source column.	28320.0
d_19_6	float64	Source column.	47.1
d_10500	float64	Source column.	27283.0
d_17_9	float64	Source column.	46.5
d_11505	float64	Source column.	30961.0
d_17_4	float64	Source column.	46.8
d_12246	float64	Source column.	34744.0
d_16_6	float64	Source column.	47.1
d_12254	float64	Source column.	35766.0
d_16	float64	Source column.	46.7
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.	Number of Prisoners by Background Characteristics, 2019-2023
source_resource	string	Source resource title.	Number of Prisoners by Background Characteristics, 2019-2023
source_package_id	string	CKAN package UUID.	number-of-prisoners-by-background-characteristics-2019-2023-ubos-stat-e4
source_resource_id	string	CKAN resource UUID.	ubos-stat-e4f684a786478c
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/Number-of-Prisoners-b
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-prisoners-by-background-characteristics-2019-202-bf3e19e1")
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_prisoners_by_background_characteristics_2019_202_bf3e19e_2025,
  title        = {Number of Prisoners by Background Characteristics, 2019-2023 | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2025},
  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-prisoners-by-background-characteristics-2019-202-bf3e19e1}}
}

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-Prisoners-by-Background-Characteristics-2019-2023.xlsx