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asia-who-historical-data-for-turkmenistan

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Tabular Classification
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indicators
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metadata 
annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - en
license: other
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - tabular-classification
  - tabular-regression
task_ids: []
tags:
  - africa
  - humanitarian
  - hdx
  - electric-sheep-africa
  - hxl
  - indicators
  - tkm
pretty_name: Turkmenistan - Historical Health Indicators
dataset_info:
  splits:
    - name: train
      num_examples: 7921
    - name: test
      num_examples: 1980

Turkmenistan - Historical Health Indicators

Publisher: World Health Organization · Source: HDX · License: hdx-other · Updated: 2025-02-07

Abstract

This dataset contains historical data from WHO's data portal.

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2025-02-07. Geographic scope: TKM.

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

Dataset Characteristics

Domain Humanitarian and development data
Unit of observation First-level administrative unit observations
Rows (total) 9,902
Columns 18 (6 numeric, 12 categorical, 0 datetime)
Train split 7,921 rows
Test split 1,980 rows
Geographic scope TKM
Publisher World Health Organization
HDX last updated 2025-02-07

Variables

Geographic — gho_display (Mean BMI (kg/m²) (crude estimate), Adolescent mortality rate (per 1 000 age specific cohort), Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol)), year_display (range 1970.0–2025.0), startyear (range 1970.0–2025.0), endyear (range 1970.0–2025.0), region_code (EUR, #region+code) and 4 others.

Outcome / Measurement — value (No data, No, Yes).

Identifier / Metadata — gho_code (NCD_BMI_MEANC, CHILDMORT10TO19, SA_0000001400_ARCHIVED), dimension_code (SEX_FMLE, SEX_MLE, SEX_BTSX), dimension_name (Female, Male, Both sexes), esa_source, esa_processed.

Other — numeric (range 0.0–266862800.0), low (range 0.0–37051.0), high (range 0.0–173952.0).

Quick Start 

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-who-historical-data-for-turkmenistan")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Column Type Null % Range / Sample Values
gho_code object 0.0% NCD_BMI_MEANC, CHILDMORT10TO19, SA_0000001400_ARCHIVED
gho_display object 0.0% Mean BMI (kg/m²) (crude estimate), Adolescent mortality rate (per 1 000 age specific cohort), Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol)
year_display float64 0.0% 1970.0 – 2025.0 (mean 2009.9776)
startyear float64 0.0% 1970.0 – 2025.0 (mean 2009.9657)
endyear float64 0.0% 1970.0 – 2025.0 (mean 2009.9776)
region_code object 0.0% EUR, #region+code
region_display object 0.0% Europe, #region+name
country_code object 0.0% TKM, #country+code
country_display object 0.0% Turkmenistan, #country+name
dimension_type object 19.2% SEX, WEALTHDECILE, WEALTHQUINTILE
dimension_code object 19.2% SEX_FMLE, SEX_MLE, SEX_BTSX
dimension_name object 20.4% Female, Male, Both sexes
numeric float64 34.8% 0.0 – 266862800.0 (mean 41711.3983)
value object 1.3% No data, No, Yes
low float64 49.8% 0.0 – 37051.0 (mean 114.7989)
high float64 49.9% 0.0 – 173952.0 (mean 289.3685)
esa_source object 0.0%
esa_processed object 0.0%

Numeric Summary

Column Min Max Mean Median
year_display 1970.0 2025.0 2009.9776 2013.0
startyear 1970.0 2025.0 2009.9657 2012.0
endyear 1970.0 2025.0 2009.9776 2013.0
numeric 0.0 266862800.0 41711.3983 34.5564
low 0.0 37051.0 114.7989 25.7971
high 0.0 173952.0 289.3685 44.5

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: gho_url. 67 exact duplicate rows were removed. 6 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.

Limitations

  • Data originates from World Health Organization 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: dimension_name, numeric, low, high.
  • Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation 

@dataset{hdx_asia_who_historical_data_for_turkmenistan,
  title     = {Turkmenistan - Historical Health Indicators},
  author    = {World Health Organization},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/who-historical-data-for-tkm},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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