electricsheepafrica/africa-uganda-qgdp-at-constant-prices-q2-2021-2022-e9073b42

QGDP At Constant Prices, Q2 2021/2022 | Africa (Uganda official open data)

416 rows - 1 Africa country - 2021-2022 - 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: QGDP At Constant Prices, Q2 2021/2022
• Publisher: Uganda Bureau of Statistics
• Resource: QGDP At Constant Prices, Q2 2021/2022
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	416	2021	2022	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-d7368c285f3769:use-of-data: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.	USE OF DATA
d_1	string	Source column.	2
policy_formulations	string	Source column.	Macro-economic model building
the_original_unadjusted_series_and_all_components	string	Source column.	Could be Unadjusted, adjusted, trend-cycle or all components depending o
original_va	string	Source column.	Original_VA, Deseason_VA, Trend_VA
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.	2022
source_period_label	string	Human-readable period inferred from source resource metadata.	2021-2022
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	QGDP At Constant Prices, Q2 2021/2022
source_resource	string	Source resource title.	QGDP At Constant Prices, Q2 2021/2022
source_package_id	string	CKAN package UUID.	qgdp-at-constant-prices-q2-2021-2022-ubos-stat-d7368c285f3769
source_resource_id	string	CKAN resource UUID.	ubos-stat-d7368c285f3769
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/Q2_2021_22_QGDP_Const
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-21T21:37:51Z
period	string	Source column.	``
q1	float64	Source column.	``
q2	float64	Source column.	``
q3	float64	Source column.	``
q4	float64	Source column.	``
q1_2	float64	Source column.	``
q2_2	float64	Source column.	``
q3_2	float64	Source column.	``
q4_2	float64	Source column.	``
q1_3	float64	Source column.	``
q2_3	float64	Source column.	``
q3_3	float64	Source column.	``
q4_3	float64	Source column.	``
q1_4	float64	Source column.	``
q2_4	float64	Source column.	``
q3_4	float64	Source column.	``
q4_4	float64	Source column.	``
q1_5	float64	Source column.	``
q2_5	float64	Source column.	``
q3_5	float64	Source column.	``
q4_5	float64	Source column.	``
q1_6	float64	Source column.	``
q2_6	float64	Source column.	``
activity	string	Source column.	``
q3_6	string	Source column.	``
q4_6	string	Source column.	``
q3_7	string	Source column.	``
q4_7	string	Source column.	``
q1_7	string	Source column.	``
q2_7	string	Source column.	``
q3_8	string	Source column.	``
q4_8	string	Source column.	``
q1_8	string	Source column.	``
q2_8	string	Source column.	``
q3_9	string	Source column.	``
q4_9	string	Source column.	``
q1_9	string	Source column.	``
q2_9	float64	Source column.	``
q3_10	float64	Source column.	``
q4_10	float64	Source column.	``
q1_10	string	Source column.	``
q2_10	float64	Source column.	``
q3_11	float64	Source column.	``
q4_11	float64	Source column.	``
gdp_at_market_prices	string	Source column.	``
d_0_2638383005249434	float64	Source column.	``
d_0_4951788952893832	float64	Source column.	``
d_6_745507026405395	float64	Source column.	``
d_6_198173204857782	float64	Source column.	``
d_7_722570570540999	float64	Source column.	``
d_6_501050099139105	float64	Source column.	``
d_5_355473507063713	float64	Source column.	``
d_5_532596675519086	float64	Source column.	``
d_5_529643734513301	float64	Source column.	``
d_5_742243422556492	float64	Source column.	``
d_7_693216848617013	float64	Source column.	``
d_6_894900514235891	float64	Source column.	``
d_7_804246229764478	float64	Source column.	``
d_8_667002351909826	float64	Source column.	``
d_0_8335773884460052	float64	Source column.	``
d_5_747702629420703	float64	Source column.	``
d_0_7426426189584556	float64	Source column.	``
d_0_4005133488826029	float64	Source column.	``
d_2_8461941838078264	float64	Source column.	``
d_13_219951398418717	float64	Source column.	``
d_3_5090258943987873	float64	Source column.	``
d_5_217415547429005	float64	Source column.	``
d_97_1866291421521	float64	Source column.	``
d_99_75894629587914	float64	Source column.	``
d_101_85536579412016	float64	Source column.	``
d_101_40719214688387	float64	Source column.	``
d_102_32795553424681	float64	Source column.	``
d_100_18086898703682	float64	Source column.	``
d_106_4296873529929	float64	Source column.	``
d_109_02503199927634	float64	Source column.	``
d_105_33539250809218	float64	Source column.	``
d_107_41750937875281	float64	Source column.	``
d_108_25481580000049	float64	Source column.	``
d_109_4544575852621	float64	Source column.	``
d_108_2327209388462	float64	Source column.	``
d_111_57826374613416	float64	Source column.	``
d_112_3745013763418	float64	Source column.	``
d_110_10329061099813	float64	Source column.	``
d_112_27317511834416	float64	Source column.	``
d_113_74436454772278	float64	Source column.	``
d_113_49074346211367	float64	Source column.	``
d_113_46191543304226	float64	Source column.	``
d_112_87013133501421	float64	Source column.	``
d_113_71470677740838	float64	Source column.	``
d_26420_69961910335	float64	Source column.	``
d_26892_1007099012	float64	Source column.	``
d_27536_94112494545	float64	Source column.	``
d_27853_46349551687	float64	Source column.	``
d_28346_139057259927	float64	Source column.	``
d_28581_240631541878	float64	Source column.	``
d_29075_756945962054	float64	Source column.	``
d_29463_353272030898	float64	Source column.	``
d_29989_336314346234	float64	Source column.	``
d_30145_244228829146	float64	Source column.	``
d_31290_8932771937	float64	Source column.	``
d_31504_145965409418	float64	Source column.	``
d_32416_343926734873	float64	Source column.	``
d_32733_217931489187	float64	Source column.	``
d_31405_94816785864	float64	Source column.	``
d_29793_56801831548	float64	Source column.	``
d_31926_783267986713	float64	Source column.	``
d_32596_53573009957	float64	Source column.	``
d_32180_659032754265	float64	Source column.	``
d_33621_72314012313	float64	Source column.	``
d_33172_20542680119	float64	Source column.	``
d_34205_625499797716	float64	Source column.	``
d_0_9973431860082815	float64	Source column.	``
d_1_7842112343497751	float64	Source column.	``
d_2_3978804110562857	float64	Source column.	``
d_1_149446371458751	float64	Source column.	``
d_1_7688125637314478	float64	Source column.	``
d_0_8293954030460293	float64	Source column.	``
d_1_7302129071137484	float64	Source column.	``
d_1_3330567000859217	float64	Source column.	``
d_1_7852110635846907	float64	Source column.	``
d_0_5198778420725914	float64	Source column.	``
d_3_8004304747643047	float64	Source column.	``
d_0_6815167797435295	float64	Source column.	``
d_2_895485446033108	float64	Source column.	``
d_0_9775130886767736	float64	Source column.	``
d_4_054809907197421	float64	Source column.	``
d_5_133996085471793	float64	Source column.	``
d_7_159985834391658	float64	Source column.	``
d_2_097776204045032	float64	Source column.	``
d_1_2758309680169	float64	Source column.	``
d_4_478044113087054	float64	Source column.	``
d_1_3369859464029021	float64	Source column.	``
d_3_1153191646449363	float64	Source column.	``
agriculture_support_services	string	Source column.	``
d_0_00047407488118351754	float64	Source column.	``
d_5_5124239737728106e_05	float64	Source column.	``
d_0_00010690363963215685	float64	Source column.	``
d_0_00040625565840661667	float64	Source column.	``
d_0_0003426987777419241	float64	Source column.	``
d_0_00018724047384120637	float64	Source column.	``
d_0_0002462831694638094	float64	Source column.	``
d_0_0008853322910508743	float64	Source column.	``
d_0_0002100028680293024	float64	Source column.	``
d_0_0003988497093925023	float64	Source column.	``
d_0_0004047064704007507	float64	Source column.	``
d_0_0017488208133824078	float64	Source column.	``
d_0_0007293079971032762	float64	Source column.	``
d_0_000984019442428002	float64	Source column.	``
d_0_003633897853807323	float64	Source column.	``
d_0_00020668104519360004	float64	Source column.	``
d_0_001749981691300092	float64	Source column.	``
d_0_0006094767089943349	float64	Source column.	``
d_0_001507785253151282	float64	Source column.	``
d_0_0013329703028262885	float64	Source column.	``
d_0_0007871525352987048	float64	Source column.	``
d_5_7604789198402246e_05	float64	Source column.	``
d_26480_172587633853	float64	Source column.	``
d_26949_50408240744	float64	Source column.	``
d_27450_975060648077	float64	Source column.	``
d_27910_578089790237	float64	Source column.	``
d_28286_62292862808	float64	Source column.	``
d_28631_700877068248	float64	Source column.	``
d_29062_495903607494	float64	Source column.	``
d_29531_750288729603	float64	Source column.	``
d_29901_20811224868	float64	Source column.	``
d_30374_297090961936	float64	Source column.	``
d_30994_11566558977	float64	Source column.	``
d_31721_09631288594	float64	Source column.	``
d_32392_402463374558	float64	Source column.	``
d_32622_48881373784	float64	Source column.	``
d_32172_046032348117	float64	Source column.	``
d_31869_900946983624	float64	Source column.	``
d_31955_766395065846	float64	Source column.	``
d_32377_100256686783	float64	Source column.	``
d_32994_892463802316	float64	Source column.	``
d_33438_39226625325	float64	Source column.	``
d_33811_26040691314	float64	Source column.	``
d_34152_20641777936	float64	Source column.	``
d_1_3318810931132186	float64	Source column.	``
d_1_772388352909604	float64	Source column.	``
d_1_8607799858105567	float64	Source column.	``
d_1_6742685027644644	float64	Source column.	``
d_1_3473201365735932	float64	Source column.	``
d_1_2199333561693004	float64	Source column.	``
d_1_5046085749110372	float64	Source column.	``
d_1_6146389720913756	float64	Source column.	``
d_1_2510529173073603	float64	Source column.	``
d_1_582173459136782	float64	Source column.	``
d_2_0406021998522705	float64	Source column.	``
d_2_345544086948337	float64	Source column.	``
d_2_1162766376895847	float64	Source column.	``
d_0_7103096185083313	float64	Source column.	``
d_1_3807738090173993	float64	Source column.	``
d_0_9391540875600346	float64	Source column.	``
d_0_2694248978842406	float64	Source column.	``
d_1_3184908676951324	float64	Source column.	``
d_1_908114692846663	float64	Source column.	``
d_1_3441468340516183	float64	Source column.	``
d_1_1150899172751139	float64	Source column.	``
d_1_0083800685422029	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-qgdp-at-constant-prices-q2-2021-2022-e9073b42")
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_qgdp_at_constant_prices_q2_2021_2022_e9073b42_2022,
  title        = {QGDP At Constant Prices, Q2 2021/2022 | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2022},
  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-qgdp-at-constant-prices-q2-2021-2022-e9073b42}}
}

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/Q2_2021_22_QGDP_Constant_Prices.xlsx