electricsheepafrica/africa-uganda-hh-characteristics-practices-aas-2018-3cbd8260

HH Characteristics Practices _ AAS 2018 | Africa (Uganda official open data)

238 rows - 1 Africa country - 2018-2019 - 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: HH Characteristics Practices _ AAS 2018
• Publisher: Uganda Bureau of Statistics
• Resource: HH Characteristics Practices _ AAS 2018
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	238	2018	2019	Uganda

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	ubos-stat-8fa00588f9c445:sex-hh-head:0
country_iso3	string	ISO3 country code.	UGA
country_name	string	Country name.	Uganda
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	sex HH head
nubin	string	Source column.	Mukono
d_57_7	float64	Source column.	70.5
d_42_3	float64	Source column.	29.5
d_100	float64	Source column.	100.0
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2019
source_period_label	string	Human-readable period inferred from source resource metadata.	2018-2019
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	HH Characteristics Practices _ AAS 2018
source_resource	string	Source resource title.	HH Characteristics Practices _ AAS 2018
source_package_id	string	CKAN package UUID.	hh-characteristics-practices-aas-2018-ubos-stat-8fa00588f9c445
source_resource_id	string	CKAN resource UUID.	ubos-stat-8fa00588f9c445
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/HH_characteristics_&_
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-21T22:20:38Z
d_22_5	float64	Source column.	``
d_4_9	float64	Source column.	``
d_15_1	float64	Source column.	``
household_heads	string	Source column.	``
males	string	Source column.	``
d_14_6	float64	Source column.	``
d_55	float64	Source column.	``
d_30_4	float64	Source column.	``
abi	string	Source column.	``
d_84_7	string	Source column.	``
d_15_3	float64	Source column.	``
d_97_2	string	Source column.	``
d_2_8	float64	Source column.	``
d_100_2	float64	Source column.	``
d_87_3	string	Source column.	``
d_12_7	float64	Source column.	``
d_100_3	float64	Source column.	``
no	string	Source column.	``
d_34774	float64	Source column.	``
d_22219	float64	Source column.	``
d_56993	float64	Source column.	``
only_for_sale	string	Source column.	``
d_10_6	string	Source column.	``
d_11_1	string	Source column.	``
d_7_7	string	Source column.	``
d_14	string	Source column.	``
d_15_9	float64	Source column.	``
no_of_parcels	string	Source column.	``
d_1130554	float64	Source column.	``
d_164154	float64	Source column.	``
d_105965	float64	Source column.	``
d_1400672	float64	Source column.	``
sex	string	Source column.	``
column	string	Source column.	``
d_3_2	float64	Source column.	``
d_2_9	float64	Source column.	``
d_93_9	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-hh-characteristics-practices-aas-2018-3cbd8260")
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_hh_characteristics_practices_aas_2018_3cbd8260_2019,
  title        = {HH Characteristics Practices _ AAS 2018 | 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-hh-characteristics-practices-aas-2018-3cbd8260}}
}

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/HH_characteristics_&_practices__AAS_2018.xlsx