electricsheepafrica/africa-settlements-congo-rep

Congo - Settlements

Publisher: OCHA West and Central Africa (ROWCA) · Source: HDX · License: hdx-other · Updated: 2025-04-25

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Abstract

Settlements of Congo with administrative Class (eg: 1=Country capital, 2=Department capital, 3=District capital…)

The dataset represents the settlements of Congo with harmonized PCODE of ROWCA and Humanitarian Response pcodes

Each row in this dataset represents subnational administrative unit observations. Data was last updated on HDX on 2025-04-25. Geographic scope: COG.

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)	7,481
Columns	18 (4 numeric, 14 categorical, 0 datetime)
Train split	5,984 rows
Test split	1,496 rows
Geographic scope	COG
Publisher	OCHA West and Central Africa (ROWCA)
HDX last updated	2025-04-25

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Variables

Geographic — lat (range -4.9667–3.6769), long (range 11.2231–18.6333), admin2name (Mindouli, Makoua, Gamboma), admin0pcod (CG), admin0pc_1 (COG) and 5 others.

Identifier / Metadata — objectid (range 1.0–7481.0), name (Kaounga, Mbomo, Kindamba), hrname (Kaounga, Mbomo, Kindamba), pcode, esa_source and 1 others.

Other — class (range 0.0–4.0), descriptio (Village, Capital of District, Capital of Department).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-settlements-congo-rep")
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
objectid	int64	0.0%	1.0 – 7481.0 (mean 3741.0)
lat	float64	0.0%	-4.9667 – 3.6769 (mean -2.29)
long	float64	0.0%	11.2231 – 18.6333 (mean 14.5242)
name	object	0.0%	Kaounga, Mbomo, Kindamba
hrname	object	0.0%	Kaounga, Mbomo, Kindamba
class	int64	0.0%	0.0 – 4.0 (mean 0.0225)
descriptio	object	0.0%	Village, Capital of District, Capital of Department
admin2name	object	0.0%	Mindouli, Makoua, Gamboma
admin0pcod	object	0.0%	CG
admin0pc_1	object	0.0%	COG
admin1name	object	0.0%	Pool, Plateaux, Niari
admin1pcod	object	0.0%	CG11, CG09, CG08
admin1pcod2	object	0.0%	COG11, COG09, COG08
admin2pcod	object	0.0%	CG1111, CG0303, CG0904
admin2pcod3	object	0.0%
pcode	object	0.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
objectid	1.0	7481.0	3741.0	3741.0
lat	-4.9667	3.6769	-2.29	-2.8361
long	11.2231	18.6333	14.5242	14.6439
class	0.0	4.0	0.0225	0.0

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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. 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 West and Central Africa (ROWCA) 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{hdx_africa_settlements_congo_rep,
  title     = {Congo - Settlements},
  author    = {OCHA West and Central Africa (ROWCA)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/congo-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.