electricsheepafrica/africa-uganda-commercial-banks-assets-billion-shillings-june-2014-2019-e70991c6

Commercial Banks assets (Billion shillings), June 2014- 2019 | Africa (Uganda official open data)

396 rows - 1 Africa country - 2014-2019 - 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: Commercial Banks assets (Billion shillings), June 2014- 2019
• Publisher: Uganda Bureau of Statistics
• Resource: Commercial Banks assets (Billion shillings), June 2014- 2019
• Format: XLSX
• License: Other open license
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	396	2014	2019	Uganda

Indicators or Resource Contents

• commercial-banks-assets-billion-shillings-june-2014-2019-e70991c6 - Commercial Banks assets (Billion shillings), June 2014- 2019

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	commercial-banks-assets-billion-shillings-june-2014-2019-e70991c6
indicator_name	string	Human-readable indicator name.	Commercial Banks assets (Billion shillings), June 2014- 2019
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.	2014
value	float64	Numeric observation value.	8844.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_item	string	Source dimension.	Net Foreign Assets
source_period_start_year	Int64	First year inferred from source resource metadata.	2014
source_period_end_year	Int64	Last year inferred from source resource metadata.	2021
source_period_label	string	Human-readable period inferred from source resource metadata.	2014-2021
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	Commercial Banks assets (Billion shillings), June 2014- 2019
source_resource	string	Source resource title.	Commercial Banks assets (Billion shillings), June 2014- 2019
source_package_id	string	CKAN package UUID.	commercial-banks-assets-billion-shillings-june-2014-2019-ubos-stat-5541e
source_resource_id	string	CKAN resource UUID.	ubos-stat-5541e6d482f6cc
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/Commercial_Banks_asse
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-21T21:37:51Z
dimension_total_assets_billion_shillings	string	Source dimension.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-commercial-banks-assets-billion-shillings-june-2014-2019-e70991c6")
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_commercial_banks_assets_billion_shillings_june_2014_2019_e70991c6_2019,
  title        = {Commercial Banks assets (Billion shillings), June 2014- 2019 | 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-commercial-banks-assets-billion-shillings-june-2014-2019-e70991c6}}
}

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/Commercial_Banks_assets_(Billion_shillings),_June_2014-_2019.xlsx