Hugging Face's logo

Datasets:
electricsheepafrica
/
africa-uganda-average-retail-prices-per-litre-of-selected-petroleum-prod-9519a857

Tasks:
Tabular Regression
Time Series Forecasting
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
tabular
xlsx
africa
uganda
official-statistics
open-data
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
africa-uganda-average-retail-prices-per-litre-of-selected-petroleum-prod-9519a857 / README.md
lucyi-morn's picture
lucyi-morn
Add ML-ready official indicator dataset
2ae59ed verified
preview code
|
Raw
History Blame Contribute Delete
6.22 kB
metadata 
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
  - energy
  - economics
pretty_name: >-
  Average Retail Prices per litre of selected Petroleum Products (UGX),
  2019-2023 | Africa (Uganda official open data)

Average Retail Prices per litre of selected Petroleum Products (UGX), 2019-2023 | Africa (Uganda official open data)

30 rows - 1 Africa country - 2019-2023 - 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 30 2019 2023 Uganda

Indicators or Resource Contents

  • average-retail-prices-per-litre-of-selected-petroleum-products-ugx-2019-9519a857 - Average Retail Prices per litre of selected Petroleum Products (UGX), 2019-2023

Schema

Column Type Description Example
indicator_id string Stable indicator identifier. average-retail-prices-per-litre-of-selected-petroleum-products-ugx-2019-
indicator_name string Human-readable indicator name. Average Retail Prices per litre of selected Petroleum Products (UGX), 20
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. 2019
value float64 Numeric observation value. 4085.0
unit string Measurement unit, when available. source_units_unspecified
dimension_product string Source dimension. Petrol
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. Average Retail Prices per litre of selected Petroleum Products (UGX), 20
source_resource string Source resource title. Average Retail Prices per litre of selected Petroleum Products (UGX), 20
source_package_id string CKAN package UUID. average-retail-prices-per-litre-of-selected-petroleum-products-ugx-2019-
source_resource_id string CKAN resource UUID. ubos-stat-98252641b83f26
source_url string Original source resource URL. https://www.ubos.org/wp-content/uploads/statistics/Average-Retail-Prices
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-average-retail-prices-per-litre-of-selected-petroleum-prod-9519a857")
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_average_retail_prices_per_litre_of_selected_petroleum_prod_9519a85_2023,
  title        = {Average Retail Prices per litre of selected Petroleum Products (UGX), 2019-2023 | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2023},
  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-average-retail-prices-per-litre-of-selected-petroleum-prod-9519a857}}
}

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/Average-Retail-Prices-per-litre-of-selected-Petroleum-Products-UGX-2019-2023.xlsx