electricsheepafrica/africa-compilation-of-international-financial-institution-and-economic-data

Compilation of International Financial Institution and Economic Data

Publisher: HDX · Source: HDX · License: cc-by · Updated: 2025-08-26

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Abstract

Compilation of international financial institution and economic data

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2025-08-26. Geographic scope: AFG, ALB, AGO, ARG, ARM, BGD, BLR, BLZ, and 9 others.

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

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Dataset Characteristics

Domain	Demographics and population
Unit of observation	Country-level aggregates
Rows (total)	271
Columns	17 (0 numeric, 17 categorical, 0 datetime)
Train split	216 rows
Test split	54 rows
Geographic scope	AFG, ALB, AGO, ARG, ARM, BGD, BLR, BLZ, and 9 others
Publisher	HDX
HDX last updated	2025-08-26

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Variables

Geographic — country_code ( AFG, ROU, PLW), country ( Falkland Islands (Malvinas), Montserrat, Anguilla), population.

Demographic — total_as_percentage_of_gdp.

Outcome / Measurement — total_usd_mn, total_per_capita_usd_mn, gdp_per_capita.

Identifier / Metadata — idb ( - , 990 , 31 ), esa_source, esa_processed.

Other — world_bank ( - , 25 , 3 ), ifc ( - , 10 , 15 ), imf ( - , 29 , 14 ), afdb ( - , 14 , 2 ), adb ( - , 20 , 250 ) and 2 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-compilation-of-international-financial-institution-and-economic-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
country_code	object	1.8%	AFG, ROU, PLW
country	object	1.1%	Falkland Islands (Malvinas), Montserrat, Anguilla
world_bank	object	1.5%	- , 25 , 3
ifc	object	1.5%	- , 10 , 15
imf	object	1.5%	- , 29 , 14
afdb	object	1.5%	- , 14 , 2
adb	object	1.5%	- , 20 , 250
idb	object	1.5%	- , 990 , 31
isdb	object	1.5%	- , 20 , 9
ebrd	object	1.5%	- , 63 , 49
total_usd_mn	object	1.5%
total_per_capita_usd_mn	object	2.2%
total_as_percentage_of_gdp	object	29.5%
population	object	2.2%
gdp_per_capita	object	8.1%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

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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. 134 exact duplicate rows were removed. 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 HDX 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: total_as_percentage_of_gdp.
• This dataset spans 17 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_compilation_of_international_financial_institution_and_economic_data,
  title     = {Compilation of International Financial Institution and Economic Data},
  author    = {HDX},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/compilation-of-international-financial-institution-and-economic-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.