electricsheepasia/asia-settlements-pakistan-settlements

Pakistan - Population of Major Cities

Publisher: OCHA Pakistan · Source: HDX · License: hdx-other · Updated: 2025-04-25

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Abstract

Major Cities Population

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-04-25. Geographic scope: PAK.

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

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Dataset Characteristics

Domain	Demographics and population
Unit of observation	Tabular records
Rows (total)	470
Columns	12 (3 numeric, 9 categorical, 0 datetime)
Train split	376 rows
Test split	94 rows
Geographic scope	PAK
Publisher	OCHA Pakistan
HDX last updated	2025-04-25

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Variables

Identifier / Metadata — unnamed_1 (Karampur, Nowshera, Sāhīwāl), unnamed_2 (24 012, census 1981, 5 208 132), unnamed_3 (census 1998, 9 339 023, 5 143 495), unnamed_5 (range 321.0–13205339.0), unnamed_6 (range -1.27–4.66) and 6 others.

Other — pakistan_metropolitan_areas (range 1.0–467.0).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-settlements-pakistan-settlements")
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
pakistan_metropolitan_areas	float64	0.6%	1.0 – 467.0 (mean 234.0)
unnamed_1	object	0.4%	Karampur, Nowshera, Sāhīwāl
unnamed_2	object	68.9%	24 012, census 1981, 5 208 132
unnamed_3	object	2.1%	census 1998, 9 339 023, 5 143 495
unnamed_5	float64	0.6%	321.0 – 13205339.0 (mean 124341.1927)
unnamed_6	float64	69.4%	-1.27 – 4.66 (mean 2.61)
unnamed_7	object	13.8%	32.64°N, 31.90°N, 25.07°N
unnamed_8	object	13.8%	69.57°E, 72.47°E, 73.98°E
unnamed_9	object	1.1%	Punjab, Sind, North-West Frontier
unnamed_10	object	63.2%	Khairpur, Lilliani, name variants
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-05-06

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Numeric Summary

Column	Min	Max	Mean	Median
pakistan_metropolitan_areas	1.0	467.0	234.0	234.0
unnamed_5	321.0	13205339.0	124341.1927	23246.0
unnamed_6	-1.27	4.66	2.61	2.57

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Curation

Raw data was downloaded from HDX 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. 1 column(s) with >80% missing values were removed: unnamed_4. 3 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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 OCHA Pakistan and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• The following columns have >20% missing values and should be treated with caution in modelling: unnamed_2, unnamed_6, unnamed_10.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_asia_settlements_pakistan_settlements,
  title     = {Pakistan - Population of Major Cities},
  author    = {OCHA Pakistan},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/pakistan-settlements},
  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.