electricsheepafrica/africa-uganda-crop-area-ha-and-production-mt-aas-2018-agricultural-year-1b6cd581

Crop Area (Ha) and Production(MT) _AAS 2018 Agricultural year | Africa (Uganda official open data)

17 rows - 1 Africa country - 2018-2020 - 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: Crop Area (Ha) and Production(MT) _AAS 2018 Agricultural year
• Publisher: Uganda Bureau of Statistics
• Resource: Crop Area (Ha) and Production(MT) _AAS 2018 Agricultural year
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
UGA	17	2018	2020	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-0078173ebfa1db:aas-2018-production-area: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.	AAS 2018_PRODUCTION & AREA
d_1	float64	Source column.	2.0
maize	string	Source column.	Rice
d_1549631	float64	Source column.	98745.15
d_2135475	string	Source column.	105464.4
d_1_3780538721798932	float64	Source column.	1.0680463799994229
d_930218_418827341	float64	Source column.	100792.43803635302
d_1306954_7364006932	float64	Source column.	93801.43003436446
d_1_7306635375639183	float64	Source column.	1.0760905545462454
d_2479849_418827341	float64	Source column.	199537.588036353
d_3442429_736400693	float64	Source column.	199265.83003436445
d_1_4935872954980476	float64	Source column.	1.0718180209966688
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2020
source_period_label	string	Human-readable period inferred from source resource metadata.	2018-2020
source_provider	string	Publishing organization.	Uganda Bureau of Statistics
source_dataset	string	Source package title.	Crop Area (Ha) and Production(MT) _AAS 2018 Agricultural year
source_resource	string	Source resource title.	Crop Area (Ha) and Production(MT) _AAS 2018 Agricultural year
source_package_id	string	CKAN package UUID.	crop-area-ha-and-production-mt-aas-2018-agricultural-year-ubos-stat-0078
source_resource_id	string	CKAN resource UUID.	ubos-stat-0078173ebfa1db
source_url	string	Original source resource URL.	https://www.ubos.org/wp-content/uploads/statistics/Crop_Area_(Ha)_and_Pr
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-crop-area-ha-and-production-mt-aas-2018-agricultural-year-1b6cd581")
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_crop_area_ha_and_production_mt_aas_2018_agricultural_year_1b6cd581_2020,
  title        = {Crop Area (Ha) and Production(MT) _AAS 2018 Agricultural year | Africa (Uganda official open data)},
  author       = {Uganda Bureau of Statistics},
  year         = {2020},
  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-crop-area-ha-and-production-mt-aas-2018-agricultural-year-1b6cd581}}
}

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/Crop_Area_(Ha)_and_Production(MT)__AAS_2018_Agricultural_year.xlsx