electricsheepafrica/africa-uganda-non-life-insurance-reinsurance-outgoings-20122018-million-717f5b78

Non-Life Insurance Reinsurance Outgoings 2012–2018 (Million shillings) | Africa (Uganda official open data)

35 rows - 1 Africa country - 2012-2018 - 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: Non-Life Insurance Reinsurance Outgoings 2012–2018 (Million shillings)
• Publisher: Uganda Bureau of Statistics
• Resource: Non-Life Insurance Reinsurance Outgoings 2012–2018 (Million shillings)
• Format: XLSX
• License: Other open license
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	35	2012	2018	Uganda

Indicators or Resource Contents

• non-life-insurance-reinsurance-outgoings-20122018-million-shillings-717f5b78 - Non-Life Insurance Reinsurance Outgoings 2012–2018 (Million shillings)

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	non-life-insurance-reinsurance-outgoings-20122018-million-shillings-717f
indicator_name	string	Human-readable indicator name.	Non-Life Insurance Reinsurance Outgoings 2012–2018 (Million shillings)
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.	2012
value	float64	Numeric observation value.	42546.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_class_of_business	string	Source dimension.	Fire
source_period_start_year	Int64	First year inferred from source resource metadata.	2012
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.	2012-2021
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	Non-Life Insurance Reinsurance Outgoings 2012–2018 (Million shillings)
source_resource	string	Source resource title.	Non-Life Insurance Reinsurance Outgoings 2012–2018 (Million shillings)
source_package_id	string	CKAN package UUID.	non-life-insurance-reinsurance-outgoings-20122018-million-shillings-ubos
source_resource_id	string	CKAN resource UUID.	ubos-stat-2b347979d4dcdb
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/Non-Life_Insurance_Re
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-non-life-insurance-reinsurance-outgoings-20122018-million-717f5b78")
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_non_life_insurance_reinsurance_outgoings_20122018_million_717f5b78_2018,
  title        = {Non-Life Insurance Reinsurance Outgoings 2012–2018 (Million shillings) | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2018},
  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-non-life-insurance-reinsurance-outgoings-20122018-million-717f5b78}}
}

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/Non-Life_Insurance_Reinsurance_Outgoings_2012–2018_(Million_shillings).xlsx