--- 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 - population pretty_name: "Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014 | Africa (Uganda official open data)" --- # Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014 | Africa (Uganda official open data) 43 rows - 1 Africa country - 1911-2002 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) ![rows](https://img.shields.io/badge/rows-43-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-1911-2002-orange) ![indicators](https://img.shields.io/badge/indicators-5-purple) ![license](https://img.shields.io/badge/license-other-lightgrey) ## 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:** [Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014](https://www.ubos.org/explore-statistics/0/) - **Publisher:** Uganda Bureau of Statistics - **Resource:** [Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014](https://www.ubos.org/wp-content/uploads/statistics/Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014.xlsx) - **Format:** `XLSX` - **License:** [Other open license]() - **Packaging mode:** `indicator_long` ## Geographic coverage 1 Africa country: | Country | Rows | First year | Last year | Name | |---------|-----:|-----------:|----------:|------| | `UGA` | 43 | 1911 | 2002 | `Uganda` | ## Indicators or Resource Contents - `census-population-average-annual-population-changes-and-growth-rates-191-c2d9a335` - Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014 - male - `census-population-average-annual-population-changes-and-growth-rates-191-a5b750a4` - Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014 - female - `census-population-average-annual-population-changes-and-growth-rates-191-02a08c92` - Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014 - total - `census-population-average-annual-population-changes-and-growth-rates-191-283370a6` - Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014 - average annual increase 000s - `census-population-average-annual-population-changes-and-growth-rates-191-cb8c9524` - Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014 - average annual growth rate ## Schema | Column | Type | Description | Example | |--------|------|-------------|---------| | `indicator_id` | `string` | Stable indicator identifier. | `census-population-average-annual-population-changes-and-growth-rates-191` | | `indicator_name` | `string` | Human-readable indicator name. | `Census_population,_average_annual_population_changes_and_growth_rates,_1` | | `country_iso3` | `string` | ISO3 country code. | `UGA` | | `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Sheet1` | | `country_name` | `string` | Country name. | `Uganda` | | `year` | `Int64` | Observation year. | `1911` | | `value` | `float64` | Numeric observation value. | `1116903.0` | | `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` | | `dimension_intercensal_period` | `string` | Source dimension. | `` | | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `1911` | | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2022` | | `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `1911-2022` | | `source_provider` | `string` | Publishing organization. | `Uganda Bureau of Statistics` | | `source_dataset` | `string` | Source package title. | `Census_population,_average_annual_population_changes_and_growth_rates,_1` | | `source_resource` | `string` | Source resource title. | `Census_population,_average_annual_population_changes_and_growth_rates,_1` | | `source_package_id` | `string` | CKAN package UUID. | `census-population-average-annual-population-changes-and-growth-rates-191` | | `source_resource_id` | `string` | CKAN resource UUID. | `ubos-stat-949fb8ece8dba1` | | `source_url` | `string` | Original source resource URL. | `https://www.ubos.org/wp-content/uploads/statistics/Census_population,_av` | | `license_id` | `string` | Source license identifier. | `other-open` | | `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-21T21:37:51Z` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-uganda-census-population-average-annual-population-changes-and-gr-5942350d") df = ds["train"].to_pandas() print(df.head()) ``` ### Filter to one country ```python sample_country = df[df["country_iso3"] == "UGA"] ``` ### Work with indicators ```python 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 ```bibtex @misc{electric_sheep_africa_africa_uganda_census_population_average_annual_population_changes_and_gr_5942350_2002, title = {Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014 | Africa (Uganda official open data)}, author = {Uganda Bureau of Statistics}, year = {2002}, 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-census-population-average-annual-population-changes-and-gr-5942350d}} } ``` ## 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](https://huggingface.co/electricsheepafrica) --- Provenance: ingested 2026-07-21 via the Electric Sheep pipeline. Source URL: https://www.ubos.org/wp-content/uploads/statistics/Census_population,_average_annual_population_changes_and_growth_rates,_1911-2014.xlsx