electricsheepafrica/africa-uganda-residential-property-price-index-q1-2023-24-excel-tables-6d1bfd04

Residential Property Price Index Q1 2023/24 Excel Tables | Africa (Uganda official open data)

20 rows - 1 Africa country - 2023-2024 - 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: Residential Property Price Index Q1 2023/24 Excel Tables
• Publisher: Uganda Bureau of Statistics
• Resource: Residential Property Price Index Q1 2023/24 Excel Tables
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	20	2023	2024	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-a84ed7d008a319:tables: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.	tables
2018	string	Source column.	``
q1	string	Source column.	Q2
d_95_96484375	float64	Source column.	100.60374450683594
d_110_03112030029297	float64	Source column.	121.91403198242188
d_88_53602600097656	float64	Source column.	90.2465591430664
d_98_14708709716797	float64	Source column.	92.04547882080078
d_98_81449736209406	float64	Source column.	102.27909980369286
d_4_294505590035803	float64	Source column.	3.5061681575965244
d_1_6456514891844676	float64	Source column.	7.075125102935514
2018_2	string	Source column.	``
q1_2	string	Source column.	Q2
d_0_48785720914347175	float64	Source column.	4.833958536858388
d_16_188026381886477	float64	Source column.	10.799591651615009
d_8_517561340510179	float64	Source column.	1.9320193364800184
d_9_095692850703752	float64	Source column.	-6.216800168838887
d_4_294505590035803_2	float64	Source column.	3.5061681575965244
d_2_151811887981039	float64	Source column.	16.080664599111063
d_2_585916422276439	float64	Source column.	6.432642747947613
d_5_964262252280498	float64	Source column.	-7.537911748272433
d_4_083184441781482	float64	Source column.	2.324599722335849
d_1_6456514891844676_2	float64	Source column.	7.075125102935514
source_period_start_year	Int64	First year inferred from source resource metadata.	2023
source_period_end_year	Int64	Last year inferred from source resource metadata.	2024
source_period_label	string	Human-readable period inferred from source resource metadata.	2023-2024
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	Residential Property Price Index Q1 2023/24 Excel Tables
source_resource	string	Source resource title.	Residential Property Price Index Q1 2023/24 Excel Tables
source_package_id	string	CKAN package UUID.	residential-property-price-index-q1-2023-24-excel-tables-ubos-stat-a84ed
source_resource_id	string	CKAN resource UUID.	ubos-stat-a84ed7d008a319
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/RPPI_tables_Q1_2023-2
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-residential-property-price-index-q1-2023-24-excel-tables-6d1bfd04")
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_residential_property_price_index_q1_2023_24_excel_tables_6d1bfd04_2024,
  title        = {Residential Property Price Index Q1 2023/24 Excel Tables | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2024},
  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-residential-property-price-index-q1-2023-24-excel-tables-6d1bfd04}}
}

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/RPPI_tables_Q1_2023-24.xlsx