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electricsheepafrica/africa-uganda-residential-property-price-index-q1-2024-25-excel-tables-cc0c2aef

Residential Property Price Index Q1 2024 25 Excel Tables | Africa (Uganda Bureau of Statistics) 24 rows - 1 Africa country/area - 2024-2025 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 24 rows from Uganda Bureau of Statistics, covering Residential Property Price Index Q1 2024 25 Excel Tables. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-residential-property-price-index-q1-2024-25-excel-tables-cc0c2aef.

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Dataset Card

Residential Property Price Index Q1 2024 25 Excel Tables | Africa (Uganda Bureau of Statistics)

24 rows - 1 Africa country/area - 2024-2025 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 24 rows from Uganda Bureau of Statistics, covering Residential Property Price Index Q1 2024 25 Excel Tables. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Residential Property Price Index Q1 2024/25 Excel Tables - Last Updated on 30th September 2024

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: not detected.
  • —Time coverage basis: source metadata.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows24
Countries/areas1
First period2024
Last period2025
Indicators0
Columns36
Source formatXLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
UGA2420242025Uganda

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.ubos-stat-903919f145751d:tables:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.tables
2018stringSource column from the original resource.``
q1stringSource column from the original resource.Q2
d_95_96484375doubleSource column from the original resource.100.60374450683594
d_110_03112030029297doubleSource column from the original resource.121.91403198242188
d_88_53602600097656doubleSource column from the original resource.90.2465591430664
d_98_14708709716797doubleSource column from the original resource.92.04547882080078
d_98_81449736209406doubleSource column from the original resource.102.27909980369286
d_4_294505590035803doubleSource column from the original resource.3.5061681575965244
d_1_6456514891844676doubleSource column from the original resource.7.075125102935514
2018_2stringSource column from the original resource.``
q1_2stringSource column from the original resource.Q2
d_0_48785720914347175doubleSource column from the original resource.4.833958536858388
d_16_188026381886477doubleSource column from the original resource.10.799591651615009
d_8_517561340510179doubleSource column from the original resource.1.9320193364800184
d_9_095692850703752doubleSource column from the original resource.-6.216800168838887
d_4_294505590035803_2doubleSource column from the original resource.3.5061681575965244
d_2_151811887981039doubleSource column from the original resource.16.080664599111063
d_2_585916422276439doubleSource column from the original resource.6.432642747947613
d_5_964262252280498doubleSource column from the original resource.-7.537911748272433
d_4_083184441781482doubleSource column from the original resource.2.324599722335849
d_1_6456514891844676_2doubleSource column from the original resource.7.075125102935514
source_period_start_yearint64Start year inferred from source metadata.2024
source_period_end_yearint64End year inferred from source metadata.2025
source_period_labelstringSource column from the original resource.2024-2025
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.Residential Property Price Index Q1 2024/25 Excel Tables
source_resourcestringSource resource title, table name, or file name.Residential Property Price Index Q1 2024/25 Excel Tables
source_package_idstringSource package identifier.residential-property-price-index-q1-2024-25-excel-tables-ubos-stat-90...
source_resource_idstringSource resource identifier.ubos-stat-903919f145751d
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/RPPI-tables-Q1-202...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-21T21:37:51Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-residential-property-price-index-q1-2024-25-excel-tables-cc0c2aef")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "UGA"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Build time-series dashboards
  • —Compare economic indicators
  • —Join with population or sector data
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_residential_property_price_index_q1_2024_25_excel_tables_cc0c2aef_2025,
  title        = {Residential Property Price Index Q1 2024 25 Excel Tables | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2025},
  url          = {https://www.ubos.org/explore-statistics/0/},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-uganda-residential-property-price-index-q1-2024-25-excel-tables-cc0c2aef}}
}

License

Released under other-open.

Original data is published by Uganda Bureau of Statistics. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://www.ubos.org/explore-statistics/0/