electricsheepafrica/africa-uganda-consumer-price-index-excel-tables-august-2021-44537b48

Consumer Price Index Excel tables - August 2021 | Africa (Uganda official open data)

80 rows - 1 Africa country - 2021 - 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: Consumer Price Index Excel tables - August 2021
• Publisher: Uganda Bureau of Statistics
• Resource: Consumer Price Index Excel tables - August 2021
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	80	2021	2021	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-69e76e5bc68788:division: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.	Division
year	Int64	Observation year.	2021
d_1	float64	Source column.	2.0
food_and_non_alcoholic_beverages	string	Source column.	Alcoholic Beverages, Tobacco and Narcotics
d_270_5390004753476	float64	Source column.	38.79579134256464
d_104_323446711604	string	Source column.	99.71642479425054
d_104_96487548601849	float64	Source column.	100.0105572356257
d_106_08768062751246	float64	Source column.	101.23663455689574
d_106_3809938207119	float64	Source column.	101.96519982206812
d_105_56630673493372	float64	Source column.	102.02013772272944
d_104_43688446512857	float64	Source column.	102.24868564497064
d_103_87855461970204	float64	Source column.	102.46148669894606
d_104_33655828638817	float64	Source column.	102.79739181374389
d_104_80635073936715	float64	Source column.	102.4116810612097
d_105_54774785793376	float64	Source column.	103.2132221631214
d_106_71149099973304	float64	Source column.	103.85263401850229
d_104_1417213900405	float64	Source column.	103.4317186415158
d_101_37881348276242	float64	Source column.	103.78450004905017
d_101_79020982426509	float64	Source column.	103.50314325144276
d_104_0230914698688	float64	Source column.	103.59942000972282
d_103_47595130523892	float64	Source column.	103.52452976993868
d_102_79748766775307	float64	Source column.	103.80641566107369
d_101_42298987229596	float64	Source column.	103.73463385364916
d_101_39324873659415	float64	Source column.	104.04864369303208
d_100_5764504066184	float64	Source column.	104.30537046149044
d_101_81507672265715	float64	Source column.	104.84742008704691
d_104_01344105342879	float64	Source column.	104.79488634916493
d_106_22248081016167	float64	Source column.	104.70240498263134
d_104_76252303516038	float64	Source column.	105.39718468221216
d_103_9253652149866	float64	Source column.	104.93357573197116
d_104_08080980947149	float64	Source column.	104.74969585027756
d_105_74196816707108	float64	Source column.	105.0271370028006
d_106_11030217905594	float64	Source column.	104.97229770921123
d_106_43211006932609	float64	Source column.	105.4096956349482
d_106_2328175012169	float64	Source column.	104.74495579760811
d_107_35074872383414	float64	Source column.	104.9946120090639
d_107_70850262492613	float64	Source column.	104.9434215067703
d_106_77313414796033	float64	Source column.	105.01449257947424
d_110_0366995160737	float64	Source column.	105.23012635704556
d_111_33402246226395	float64	Source column.	105.58438118399222
d_108_26264019882746	float64	Source column.	105.49715361757671
d_105_70596781210712	float64	Source column.	105.7900425931943
d_106_14760095570756	float64	Source column.	105.65655571667943
d_105_76739481626448	float64	Source column.	105.98644797410216
d_105_99595332528777	float64	Source column.	107.18920454838111
d_104_13897425721068	float64	Source column.	107.57984211866535
d_103_84033743304953	float64	Source column.	107.3855059826034
d_104_29416137378942	float64	Source column.	107.27060614242328
d_105_48472337522627	float64	Source column.	107.7434471417248
d_107_18699709295379	float64	Source column.	107.39712091538344
d_107_88571212160859	float64	Source column.	107.3559339775018
d_107_43329574397661	float64	Source column.	107.52228097417289
d_106_57980217072055	float64	Source column.	107.19352301979036
d_106_42933368582345	float64	Source column.	107.19731435356294
d_107_57013224969026	float64	Source column.	106.7067957330012
source_period_start_year	Int64	First year inferred from source resource metadata.	2021
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.	2021
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	Consumer Price Index Excel tables - August 2021
source_resource	string	Source resource title.	Consumer Price Index Excel tables - August 2021
source_package_id	string	CKAN package UUID.	consumer-price-index-excel-tables-august-2021-ubos-stat-69e76e5bc68788
source_resource_id	string	CKAN resource UUID.	ubos-stat-69e76e5bc68788
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/Consumer_Price_Index_
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-consumer-price-index-excel-tables-august-2021-44537b48")
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_consumer_price_index_excel_tables_august_2021_44537b48_2021,
  title        = {Consumer Price Index Excel tables - August 2021 | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2021},
  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-consumer-price-index-excel-tables-august-2021-44537b48}}
}

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/Consumer_Price_Index_August_2021.xlsx