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electricsheepafrica/africa-uganda-national-population-and-housing-census-2024-subcounty-prof-0ef6fc49

National Population and Housing Census 2024 Subcounty Prof | Africa (Uganda Bureau of Statistics) 202,850 rows - 1 Africa country/area - 2024-2025 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 202,850 rows from Uganda Bureau of Statistics, covering National Population and Housing Census 2024 Subcounty Prof. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-national-population-and-housing-census-2024-subcounty-prof-0ef6fc49.

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Dataset Card

National Population and Housing Census 2024 Subcounty Prof | Africa (Uganda Bureau of Statistics)

202,850 rows - 1 Africa country/area - 2024-2025 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 202,850 rows from Uganda Bureau of Statistics, covering National Population and Housing Census 2024 Subcounty Prof. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: National Population And Housing Census 2024 - Subcounty Profiles Excel Tables - Last Updated on 3rd November 2025

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: not detected.
  • —Time coverage basis: source metadata.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows202,850
Countries/areas1
First period2024
Last period2025
Indicators0
Columns88
Source formatXLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
UGA202,85020242025Uganda

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.ubos-stat-74c8640e73d8f6:table-of-contents:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.Table_of_Contents
namestringSource column from the original resource.Table1
link_to_table_click_to_select_the_table_to_viewstringSource column from the original resource.Population distribution by Sex and Geographical Location (District, C...
source_period_start_yearint64Start year inferred from source metadata.2024
source_period_end_yearint64End year inferred from source metadata.2025
source_period_labelstringSource column from the original resource.2024-2025
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.National Population And Housing Census 2024 - Subcounty Profiles Exce...
source_resourcestringSource resource title, table name, or file name.National Population And Housing Census 2024 - Subcounty Profiles Exce...
source_package_idstringSource package identifier.national-population-and-housing-census-2024-subcounty-profiles-excel-...
source_resource_idstringSource resource identifier.ubos-stat-74c8640e73d8f6
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/NPHC-2024-Subcount...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-21T21:37:51Z
districtstringSource column from the original resource.``
maledoubleSource column from the original resource.``
femaledoubleSource column from the original resource.``
totaldoubleSource column from the original resource.``
abimstringSource column from the original resource.``
d_143047doubleSource column from the original resource.``
d_39942doubleSource column from the original resource.``
d_3_5813679835761856doubleSource column from the original resource.``
parishstringSource column from the original resource.``
d_0_4doubleSource column from the original resource.``
d_0_17doubleSource column from the original resource.``
d_6_12doubleSource column from the original resource.``
d_13_18doubleSource column from the original resource.``
d_14_64doubleSource column from the original resource.``
d_15doubleSource column from the original resource.``
d_18_30doubleSource column from the original resource.``
d_15_24doubleSource column from the original resource.``
d_18doubleSource column from the original resource.``
d_60doubleSource column from the original resource.``
d_65doubleSource column from the original resource.``
d_80doubleSource column from the original resource.``
d_17842doubleSource column from the original resource.``
d_60596doubleSource column from the original resource.``
d_64609doubleSource column from the original resource.``
countystringSource column from the original resource.``
radiodoubleSource column from the original resource.``
televisiondoubleSource column from the original resource.``
computerdoubleSource column from the original resource.``
word_of_mouthdoubleSource column from the original resource.``
phone_callsdoubleSource column from the original resource.``
tvdoubleSource column from the original resource.``
community_meetings_barazasdoubleSource column from the original resource.``
internet_social_mediadoubleSource column from the original resource.``
community_announcerdoubleSource column from the original resource.``
print_mediadoubleSource column from the original resource.``
other_sourcesdoubleSource column from the original resource.``
total_householdsdoubleSource column from the original resource.``
d_35545doubleSource column from the original resource.``
d_1196doubleSource column from the original resource.``
probable_general_psychological_distressdoubleSource column from the original resource.``
probable_bipolar_affective_disorderdoubleSource column from the original resource.``
probable_depressiondoubleSource column from the original resource.``
probable_anxietydoubleSource column from the original resource.``
probable_psychosisdoubleSource column from the original resource.``
probable_suicidalitydoubleSource column from the original resource.``
numberdoubleSource column from the original resource.``
percentdoubleSource column from the original resource.``
number_2doubleSource column from the original resource.``
percent_2doubleSource column from the original resource.``
number_3doubleSource column from the original resource.``
percent_3doubleSource column from the original resource.``
number_4doubleSource column from the original resource.``
percent_4doubleSource column from the original resource.``
d_1199doubleSource column from the original resource.``
d_38743doubleSource column from the original resource.``
d_11570doubleSource column from the original resource.``
d_18324doubleSource column from the original resource.``
d_10048doubleSource column from the original resource.``
households_using_grid_electricity_for_lightingdoubleSource column from the original resource.``
households_using_solar_for_lightingdoubleSource column from the original resource.``
households_using_solar_grid_electricity_for_lightingdoubleSource column from the original resource.``
households_in_subsistence_economydoubleSource column from the original resource.``
households_that_benefited_from_pdmdoubleSource column from the original resource.``
not_started_primarydoubleSource column from the original resource.``
populationdoubleSource column from the original resource.``
not_attending_eccedoubleSource column from the original resource.``
population_2doubleSource column from the original resource.``
out_of_schooldoubleSource column from the original resource.``
population_3doubleSource column from the original resource.``
out_of_school_2doubleSource column from the original resource.``
population_4doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-national-population-and-housing-census-2024-subcounty-prof-0ef6fc49")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "UGA"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Build demographic profiles
  • —Normalize indicators per capita
  • —Join with service-delivery datasets
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_national_population_and_housing_census_2024_subcounty_prof_0ef6fc4_2025,
  title        = {National Population and Housing Census 2024 Subcounty Prof | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2025},
  url          = {https://www.ubos.org/explore-statistics/0/},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-uganda-national-population-and-housing-census-2024-subcounty-prof-0ef6fc49}}
}

License

Released under other-open.

Original data is published by Uganda Bureau of Statistics. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://www.ubos.org/explore-statistics/0/