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electricsheepafrica/africa-uganda-cpi-december-2025-excel-tables-730febd9

Cpi December 2025 Excel Tables | Africa (Uganda Bureau of Statistics) 496 rows - 1 Africa country/area - 2025 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 496 rows from Uganda Bureau of Statistics, covering Cpi December 2025 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 Official… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-cpi-december-2025-excel-tables-730febd9.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Dataset Card

Cpi December 2025 Excel Tables | Africa (Uganda Bureau of Statistics)

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

rows countries period indicators license

TL;DR

This dataset contains 496 rows from Uganda Bureau of Statistics, covering Cpi December 2025 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

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: CPI December 2025 Excel Tables - Last Updated on 31st December 2025

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: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows496
Countries/areas1
First period2025
Last period2025
Indicators0
Columns225
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
UGA49620252025Uganda

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-2e4f90c1bc3b9a:division:0
country_iso3stringISO3 country or area code.UGA
country_namestringCountry or area name.Uganda
source_sheetstringSource column from the original resource.Division
yearint64Observation year.2025
d_1doubleSource column from the original resource.2.0
food_and_non_alcoholic_beveragesstringSource column from the original resource.Alcoholic Beverages, Tobacco and Narcotics
d_270_5390004753476doubleSource column from the original resource.38.79579134256464
d_104_32344671160399stringSource column from the original resource.99.71642479425054
d_104_96487548601847doubleSource column from the original resource.100.0105572356257
d_106_08768062751246doubleSource column from the original resource.101.23663455689574
d_106_3809938207119doubleSource column from the original resource.101.96519982206812
d_105_56630673493372doubleSource column from the original resource.102.02013772272944
d_104_43688446512859doubleSource column from the original resource.102.24868564497064
d_103_87855461970206doubleSource column from the original resource.102.46148669894606
d_104_33655828638817doubleSource column from the original resource.102.79739181374386
d_104_80635073936713doubleSource column from the original resource.102.41168106120972
d_105_54774785793379doubleSource column from the original resource.103.2132221631214
d_106_71149099973304doubleSource column from the original resource.103.85263401850229
d_104_1417213900405doubleSource column from the original resource.103.4317186415158
d_101_37881348276242doubleSource column from the original resource.103.78450004905017
d_101_79020982426508doubleSource column from the original resource.103.50314325144276
d_104_02309146986882doubleSource column from the original resource.103.59942000972282
d_103_47595130523892doubleSource column from the original resource.103.52452976993868
d_102_79748766775307doubleSource column from the original resource.103.80641566107369
d_101_42298987229596doubleSource column from the original resource.103.73463385364916
d_101_39324873659416doubleSource column from the original resource.104.04864369303208
d_100_5764504066184doubleSource column from the original resource.104.30537046149044
d_101_81507672265714doubleSource column from the original resource.104.84742008704691
d_104_01344105342879doubleSource column from the original resource.104.79488634916493
d_106_22248081016167doubleSource column from the original resource.104.70240498263134
d_104_7625230351604doubleSource column from the original resource.105.39718468221216
d_103_9253652149866doubleSource column from the original resource.104.93357573197116
d_104_0808098094715doubleSource column from the original resource.104.74969585027756
d_105_74196816707108doubleSource column from the original resource.105.0271370028006
d_106_11030217905595doubleSource column from the original resource.104.97229770921123
d_106_43211006932609doubleSource column from the original resource.105.40969563494818
d_106_2328175012169doubleSource column from the original resource.104.74495579760811
d_107_35074872383414doubleSource column from the original resource.104.9946120090639
d_107_70850262492614doubleSource column from the original resource.104.9434215067703
d_106_77313414796035doubleSource column from the original resource.105.01449257947424
d_110_0366995160737doubleSource column from the original resource.105.23012635704556
d_111_33402246226395doubleSource column from the original resource.105.58438118399222
d_108_26264019882746doubleSource column from the original resource.105.49715361757671
d_105_70596781210712doubleSource column from the original resource.105.7900425931943
d_106_14760095570757doubleSource column from the original resource.105.65655571667943
d_105_76739481626448doubleSource column from the original resource.105.98644797410216
d_105_99595332528777doubleSource column from the original resource.107.18920454838111
d_104_13897425721068doubleSource column from the original resource.107.57984211866535
d_103_84033743304953doubleSource column from the original resource.107.38550598260342
d_104_29416137378942doubleSource column from the original resource.107.2706061424233
d_105_48472337522627doubleSource column from the original resource.107.7434471417248
d_107_18699709295379doubleSource column from the original resource.107.39712091538344
d_107_88571212160862doubleSource column from the original resource.107.3559339775018
d_107_43329574397661doubleSource column from the original resource.107.52228097417289
d_106_57980217072055doubleSource column from the original resource.107.19352301979036
d_106_42933368582345doubleSource column from the original resource.107.19731435356294
d_107_57013224969026doubleSource column from the original resource.106.7067957330012
d_108_83448011318875doubleSource column from the original resource.106.9789009956514
d_109_23219946189951doubleSource column from the original resource.106.65155429492002
d_108_958744578791doubleSource column from the original resource.107.20800957290018
d_109_34741255113059doubleSource column from the original resource.108.7167154802438
d_109_82764893611228doubleSource column from the original resource.108.53206302551106
d_110_27783480759287doubleSource column from the original resource.108.83624687491708
d_111_85327587200268doubleSource column from the original resource.108.61286300673169
d_115_28082480641726doubleSource column from the original resource.108.91429509966764
d_119_27862469390165doubleSource column from the original resource.109.95618674014857
d_120_47727269882107doubleSource column from the original resource.114.22894474907034
d_122_31474186286131doubleSource column from the original resource.114.28811339744836
d_124_46432511870658doubleSource column from the original resource.114.13166798239156
d_128_87991529641386doubleSource column from the original resource.115.26082650519626
d_133_47034236930034doubleSource column from the original resource.115.89179205969634
d_133_70027125183987doubleSource column from the original resource.116.55325773010716
d_134_49256106663157doubleSource column from the original resource.117.37457633336436
d_134_9874513697648doubleSource column from the original resource.117.66785041040156
d_133_34025804622596doubleSource column from the original resource.118.67900093932714
d_135_2258558221503doubleSource column from the original resource.118.52509435481282
d_136_5352602863915doubleSource column from the original resource.118.36036634366047
d_135_37798063631948doubleSource column from the original resource.117.99110693345168
d_133_68269982932128doubleSource column from the original resource.118.60192737092454
d_132_080253537437doubleSource column from the original resource.``
d_134_02286231683388doubleSource column from the original resource.``
d_135_45446057299273doubleSource column from the original resource.``
d_136_99801303598178doubleSource column from the original resource.``
d_136_52368395550823doubleSource column from the original resource.``
d_134_68140386590605doubleSource column from the original resource.``
d_134_97345812158264doubleSource column from the original resource.``
d_133_97124383153022doubleSource column from the original resource.``
d_134_54540095645046doubleSource column from the original resource.``
d_135_4348558846227doubleSource column from the original resource.``
d_134_19320046966413doubleSource column from the original resource.``
d_133_1567522953109doubleSource column from the original resource.``
d_132_32253059130775doubleSource column from the original resource.``
d_133_26345826060987doubleSource column from the original resource.``
d_133_43955857872936doubleSource column from the original resource.``
d_134_07044769979942doubleSource column from the original resource.``
d_135_04398037046275doubleSource column from the original resource.``
d_135_0045396984682doubleSource column from the original resource.``
d_135_7791650276871doubleSource column from the original resource.``
d_137_03687713838775doubleSource column from the original resource.``
d_137_29758869534012doubleSource column from the original resource.``
d_138_86828248941347doubleSource column from the original resource.``
d_140_61858491042182doubleSource column from the original resource.``
d_139_59921997051472doubleSource column from the original resource.``
d_138_17977040819045doubleSource column from the original resource.``
d_138_21604972007182doubleSource column from the original resource.``
d_140_31401428453412doubleSource column from the original resource.``
d_139_72855139874082doubleSource column from the original resource.``
d_138_96147479964023doubleSource column from the original resource.``
d_139_70095632467985doubleSource column from the original resource.``
source_period_start_yearint64Start year inferred from source metadata.``
source_period_end_yearint64End year inferred from source metadata.``
source_period_labelstringSource column from the original resource.``
source_providerstringPublishing organization.``
source_datasetstringSource dataset or package title.``
source_resourcestringSource resource title, table name, or file name.``
source_package_idstringSource package identifier.``
source_resource_idstringSource resource identifier.``
source_urlstringOriginal source URL or download URL.``
license_idstringSource license identifier.``
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.``
row_labelsstringSource column from the original resource.``
weightsdoubleSource column from the original resource.``
2017doubleSource column from the original resource.``
2017_2doubleSource column from the original resource.``
2017_3doubleSource column from the original resource.``
2017_4doubleSource column from the original resource.``
2017_5doubleSource column from the original resource.``
2017_6doubleSource column from the original resource.``
2018doubleSource column from the original resource.``
2018_2doubleSource column from the original resource.``
2018_3doubleSource column from the original resource.``
2018_4doubleSource column from the original resource.``
2018_5doubleSource column from the original resource.``
2018_6doubleSource column from the original resource.``
2018_7doubleSource column from the original resource.``
2018_8doubleSource column from the original resource.``
2018_9doubleSource column from the original resource.``
2018_10doubleSource column from the original resource.``
2018_11doubleSource column from the original resource.``
2018_12doubleSource column from the original resource.``
2019doubleSource column from the original resource.``
2019_2doubleSource column from the original resource.``
2019_3doubleSource column from the original resource.``
2019_4doubleSource column from the original resource.``
2019_5doubleSource column from the original resource.``
2019_6doubleSource column from the original resource.``
2019_7doubleSource column from the original resource.``
2019_8doubleSource column from the original resource.``
2019_9doubleSource column from the original resource.``
2019_10doubleSource column from the original resource.``
2019_11doubleSource column from the original resource.``
2019_12doubleSource column from the original resource.``
2020doubleSource column from the original resource.``
2020_2doubleSource column from the original resource.``
2020_3doubleSource column from the original resource.``
2020_4doubleSource column from the original resource.``
2020_5doubleSource column from the original resource.``
2020_6doubleSource column from the original resource.``
2020_7doubleSource column from the original resource.``
2020_8doubleSource column from the original resource.``
2020_9doubleSource column from the original resource.``
2020_10doubleSource column from the original resource.``
2020_11doubleSource column from the original resource.``
2020_12doubleSource column from the original resource.``
2021doubleSource column from the original resource.``
2021_2doubleSource column from the original resource.``
2021_3doubleSource column from the original resource.``
2021_4doubleSource column from the original resource.``
2021_5doubleSource column from the original resource.``
2021_6doubleSource column from the original resource.``
2021_7doubleSource column from the original resource.``
2021_8doubleSource column from the original resource.``
2021_9doubleSource column from the original resource.``
2021_10doubleSource column from the original resource.``
2021_11doubleSource column from the original resource.``
2021_12doubleSource column from the original resource.``
2022doubleSource column from the original resource.``
2022_2doubleSource column from the original resource.``
2022_3doubleSource column from the original resource.``
2022_4doubleSource column from the original resource.``
2022_5doubleSource column from the original resource.``
2022_6doubleSource column from the original resource.``
2022_7doubleSource column from the original resource.``
2022_8doubleSource column from the original resource.``
2022_9doubleSource column from the original resource.``
2022_10doubleSource column from the original resource.``
2022_11doubleSource column from the original resource.``
2022_12doubleSource column from the original resource.``
2023doubleSource column from the original resource.``
2023_2doubleSource column from the original resource.``
2023_3doubleSource column from the original resource.``
2023_4doubleSource column from the original resource.``
2023_5doubleSource column from the original resource.``
2023_6doubleSource column from the original resource.``
2023_7doubleSource column from the original resource.``
2023_8doubleSource column from the original resource.``
2023_9doubleSource column from the original resource.``
2023_10doubleSource column from the original resource.``
2023_11doubleSource column from the original resource.``
2023_12doubleSource column from the original resource.``
2024doubleSource column from the original resource.``
2024_2doubleSource column from the original resource.``
2024_3doubleSource column from the original resource.``
2024_4doubleSource column from the original resource.``
2024_5doubleSource column from the original resource.``
2024_6doubleSource column from the original resource.``
2024_7doubleSource column from the original resource.``
2024_8doubleSource column from the original resource.``
2024_9doubleSource column from the original resource.``
2024_10doubleSource column from the original resource.``
2024_11doubleSource column from the original resource.``
2024_12doubleSource column from the original resource.``
2025doubleSource column from the original resource.``
2025_2doubleSource column from the original resource.``
2025_3doubleSource column from the original resource.``
2025_4doubleSource column from the original resource.``
2025_5doubleSource column from the original resource.``
2025_6doubleSource column from the original resource.``
2025_7doubleSource column from the original resource.``
2025_8doubleSource column from the original resource.``
2025_9doubleSource column from the original resource.``
2025_10doubleSource column from the original resource.``
2025_11doubleSource column from the original resource.``
2025_12doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-cpi-december-2025-excel-tables-730febd9")
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

  • —Canonical time field: year.
  • —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

  • —Profile the distribution of values
  • —Compare categories or geographies
  • —Join with complementary public datasets
  • —Build time-series views and period-over-period comparisons
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_cpi_december_2025_excel_tables_730febd9_2025,
  title        = {Cpi December 2025 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-cpi-december-2025-excel-tables-730febd9}}
}

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/