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metadata
license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - xlsx
  - africa
  - uganda
  - official-statistics
  - open-data
  - population
pretty_name: >-
  National Population Projections by Single age and sex (2015-2040) | Africa
  (Uganda official open data)

National Population Projections by Single age and sex (2015-2040) | Africa (Uganda official open data)

247 rows - 1 Africa country - 2015-2019 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
UGA 247 2015 2019 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-d3ebf3f40ff2c1:sheet1:0
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. Sheet1
d_2 float64 Source column. 3.0
d_618200 float64 Source column. 608000.0
d_633800 float64 Source column. 614600.0
d_668200 float64 Source column. 630200.0
d_676400 float64 Source column. 664600.0
d_691000 float64 Source column. 672900.0
d_705700 float64 Source column. 687600.0
d_720200 float64 Source column. 702300.0
d_734400 float64 Source column. 716900.0
d_748200 float64 Source column. 731200.0
d_762700 float64 Source column. 745100.0
d_776200 float64 Source column. 759500.0
d_788800 float64 Source column. 773100.0
d_800300 float64 Source column. 785800.0
d_810400 float64 Source column. 797300.0
d_819100 float64 Source column. 807500.0
d_826400 float64 Source column. 816200.0
d_832300 float64 Source column. 823600.0
d_837000 float64 Source column. 829600.0
d_840200 float64 Source column. 834400.0
d_844800 float64 Source column. 837700.0
d_847300 float64 Source column. 842300.0
d_848200 float64 Source column. 845000.0
d_848100 float64 Source column. 845900.0
d_847700 float64 Source column. 845900.0
d_846600 float64 Source column. 845600.0
d_867600 float64 Source column. 844600.0
d_864500 float64 Source column. 865700.0
source_period_start_year Int64 First year inferred from source resource metadata. 2015
source_period_end_year Int64 Last year inferred from source resource metadata. 2019
source_period_label string Human-readable period inferred from source resource metadata. 2015-2019
source_provider string Publishing organization. Uganda Bureau of Statistics
source_dataset string Source package title. National Population Projections by Single age and sex (2015-2040)
source_resource string Source resource title. National Population Projections by Single age and sex (2015-2040)
source_package_id string CKAN package UUID. national-population-projections-by-single-age-and-sex-2015-2040-ubos-sta
source_resource_id string CKAN resource UUID. ubos-stat-d3ebf3f40ff2c1
source_url string Original source resource URL. https://www.ubos.org/wp-content/uploads/publications/04_2019National_Pop
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-national-population-projections-by-single-age-and-sex-2015-8ac26109")
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_national_population_projections_by_single_age_and_sex_2015_8ac2610_2019,
  title        = {National Population Projections by Single age and sex (2015-2040) | 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-national-population-projections-by-single-age-and-sex-2015-8ac26109}}
}

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/publications/04_2019National_Population_Projections_by_Single_age_and_sex_(2015-2040).xlsx