electricsheepafrica/africa-election-voter-data

Election & Voter Data | Uganda

Publisher: Code for Africa · Source: OpenAfrica · License: cc-by · Updated: 2023-11-30

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Abstract

Data extracted from Uganda Electoral Commission

Each row in this dataset represents subnational administrative unit observations. Data was last updated on OpenAfrica on 2023-11-30. Geographic scope: Africa (multiple countries).

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Subnational administrative unit observations
Rows (total)	112
Columns	15 (11 numeric, 4 categorical, 0 datetime)
Train split	89 rows
Test split	22 rows
Geographic scope	Africa (multiple countries)
Publisher	Code for Africa
OpenAfrica last updated	2023-11-30

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Variables

Geographic — district (001 APAC , 002 ARUA , 083 BUYENDE).

Outcome / Measurement — total_votes (range 20008.0–522139.0).

Identifier / Metadata — invalid (range 0.0–20736.0), esa_source (HDX), esa_processed (2026-04-27).

Other — reg_voters (range 29729.0–1014294.0), pdp (range 37.0–6857.0), gf (range 33.0–10487.0), ppp (range 16.0–3341.0), fp (range 13.0–1313.0) and 5 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-election-voter-data")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
district	object	0.0%	001 APAC , 002 ARUA , 083 BUYENDE
reg_voters	int64	0.0%	29729.0 – 1014294.0 (mean 136403.5536)
pdp	int64	0.0%	37.0 – 6857.0 (mean 794.6875)
gf	int64	0.0%	33.0 – 10487.0 (mean 1218.9196)
ppp	int64	0.0%	16.0 – 3341.0 (mean 471.4107)
fp	int64	0.0%	13.0 – 1313.0 (mean 228.5714)
fdc	int64	0.0%	521.0 – 334919.0 (mean 31327.5625)
indep	int64	0.0%	16.0 – 1121.0 (mean 218.7321)
nrm	int64	0.0%	9922.0 – 176339.0 (mean 53320.2857)
vald_votes	int64	0.0%	18968.0 – 508027.0 (mean 87962.6071)
invalid	int64	0.0%	0.0 – 20736.0 (mean 4261.7768)
total_votes	int64	0.0%	20008.0 – 522139.0 (mean 92224.3839)
leader	object	0.0%	NRM, FDC
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-27

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Numeric Summary

Column	Min	Max	Mean	Median
reg_voters	29729.0	1014294.0	136403.5536	102211.5
pdp	37.0	6857.0	794.6875	564.0
gf	33.0	10487.0	1218.9196	654.0
ppp	16.0	3341.0	471.4107	386.0
fp	13.0	1313.0	228.5714	181.5
fdc	521.0	334919.0	31327.5625	21080.0
indep	16.0	1121.0	218.7321	176.0
nrm	9922.0	176339.0	53320.2857	44057.5
vald_votes	18968.0	508027.0	87962.6071	68801.0
invalid	0.0	20736.0	4261.7768	3374.0
total_votes	20008.0	522139.0	92224.3839	72433.0

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Curation

Raw data was downloaded from OpenAfrica via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from Code for Africa and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{openafrica_africa_election_voter_data,
  title     = {Election & Voter Data | Uganda},
  author    = {Code for Africa},
  year      = {2023},
  url       = {https://open.africa/dataset/election-voter-data},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.