electricsheepasia/asia-social-development-world-bank-social-development-indicators

Mongolia - Social Development

Publisher: World Bank Group · Source: HDX · License: cc-by · Updated: 2026-04-28

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Abstract

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Data here cover child labor, gender issues, refugees, and asylum seekers. Children in many countries work long hours, often combining studying with work for pay. The data on their paid work are from household surveys conducted by the International Labour Organization (ILO), the United Nations Children's Fund (UNICEF), the World Bank, and national statistical offices. Gender disparities are measured using a compilation of data on key topics such as education, health, labor force participation, and political participation. Data on refugees are from the United Nations High Commissioner for Refugees complemented by statistics on Palestinian refugees under the mandate of the United Nations Relief and Works Agency.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-04-28. Geographic scope: MNG.

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

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Dataset Characteristics

Domain	Public health
Unit of observation	Country-level aggregates
Rows (total)	891
Columns	8 (2 numeric, 6 categorical, 0 datetime)
Train split	712 rows
Test split	178 rows
Geographic scope	MNG
Publisher	World Bank Group
HDX last updated	2026-04-28

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Variables

Geographic — country_name (Mongolia), country_iso3 (MNG), year (range 1960.0–2025.0).

Outcome / Measurement — value (range 0.1–99.1308).

Identifier / Metadata — indicator_name (Adolescent fertility rate (births per 1,000 women ages 15-19), Life expectancy at birth, female (years), Life expectancy at birth, male (years)), indicator_code (SP.ADO.TFRT, SP.DYN.LE00.FE.IN, SP.DYN.LE00.MA.IN), esa_source (HDX), esa_processed (2026-05-04).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-social-development-all")
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_name	object	0.0%	Mongolia
country_iso3	object	0.0%	MNG
year	int64	0.0%	1960.0 – 2025.0 (mean 2003.4893)
indicator_name	object	0.0%	Adolescent fertility rate (births per 1,000 women ages 15-19), Life expectancy at birth, female (years), Life expectancy at birth, male (years)
indicator_code	object	0.0%	SP.ADO.TFRT, SP.DYN.LE00.FE.IN, SP.DYN.LE00.MA.IN
value	float64	0.0%	0.1 – 99.1308 (mean 34.6457)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-05-04

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Numeric Summary

Column	Min	Max	Mean	Median
year	1960.0	2025.0	2003.4893	2005.0
value	0.1	99.1308	34.6457	39.32

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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 World Bank Group 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_asia_social_development_all,
  title     = {Mongolia - Social Development},
  author    = {World Bank Group},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/world-bank-social-development-indicators-for-mongolia},
  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.