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

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

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: Average Retail Prices per litre of selected Petroleum Products (UGX), 2019-2023
• Publisher: Uganda Bureau of Statistics
• Resource: Average Retail Prices per litre of selected Petroleum Products (UGX), 2019-2023
• Format: XLSX
• License: Other open license
• Packaging mode: indicator_long

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

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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