Published July 24, 2025 | Version v3
Dataset Open

Global subnational Gini coefficient (income inequality) and gross national income (GNI) per capita PPP datasets for 1990-2023

  • 1. Aalto University
  • 2. Aalto-yliopisto
  • 3. ROR icon Stockholm Resilience Centre
  • 4. ROR icon International Institute for Applied Systems Analysis
  • 5. ROR icon University of Helsinki
  • 6. ROR icon University of Iowa

Description

This dataset provides a gridded subnational datasets for

  • Income inequality (Gini coefficient) at admin 1 level
  • Gross national income (GNI) per capita PPP at admin 1 level

The datasets are based on reported subnational admin data and spans three decades from 1990 to 2023 

The datasets are presented in details in the following publication. Please cite this paper when using data. 

Chrisendo D, Niva V, Hoffman R, Sayyar SM, Rocha J, Sandström V, Solt F, Kummu M. 2024. Income inequality has increased for over two-thirds of the global population. Preprint. doi: https://doi.org/10.21203/rs.3.rs-5548291/v1

Code is available at following repositories:

The following data is given (formats in brackets)

Gini coefficient:

Please note, two distinct datasets for Gini cofficient are given. One based on SWIID national dataset, and another for WID national dataset. These are separated in file names as follows:  _disp_ for SWIID (disposable income); _WID_ for WID.  

  • Income inequality (Gini coefficient) at admin 0 level (national) (GeoTIFF, gpkg, csv)
  • Income inequality (Gini coefficient) at admin 1 level (subnational) (GeoTIFF, gpkg, csv)
  • Slope for Gini coefficient at admin 1 level (GeoTIFF; slope is given also in gpk and csv files)
  • Uncertainty (standard deviation for each year and admin area; uncertainty for slope) for Gini (based on SWIID) at admin 1 level (gpkg)
  • Input data for the script that was used to generate the Gini coefficient (input_data_gini.zip)

Gross national income (GNI) pear capita  PPP (in 2021 USD):

  • Gross national income (GNI) per capita PPP at admin 0 level (national) (GeoTIFF, gpkg, csv)
  • Gross national income (GNI) per capita PPP at admin 1 level (subnational) (GeoTIFF, gpkg, csv)
  • Slope for GNI per capita (log10) at admin 1 level (GeoTIFF; slope is given also in gpk and csv files)
  • Input data for the script that was used to generate the GNI per capita PPP (input_data_GNI.zip)

Files are named as follows
Format: raster data (GeoTIFF) starts with rast_*, polygon data (gpkg) with polyg_*, and tabulated with tabulated_*. 
Admin levels: adm0 for admin 0 level, adm1 for admin 1 level
Product type: 

  • _gini_disp_  for gini coefficient based on SWIID national dataset (disposable income)
  • _gini_WID_  for gini coefficient based on WID national dataset
  • _uncertainty_slope_gini_disp_ for slope uncertainty of SWIID based Gini
  • _uncertainty_SD_gini_disp_ for standard deviation of SWIID based Gini
  • _gni_perCapita_ for GNI per capita PPP

 

Metadata 

Grids 

Resolution: 5 arc-min (0.083333333 degrees) 

Spatial extent: Lon: -180, 180; -90, 90 (xmin, xmax, ymin, ymax) 

Coordinate ref system: EPSG:4326 - WGS 84 

Format: Multiband geotiff; one band for each year over 1990-2021

Unit: no unit for Gini coefficient and PPP USD in 2017 international dollars for GNI per capita

 

Geospatial polygon (gpkg) files: 

Spatial extent: -180, 180; -90, 83.67 (xmin, xmax, ymin, ymax) 

Temporal extent: annual over 1990-2021

Coordinate ref system: EPSG:4326 - WGS 84 

Format: gkpk 

Unit:  no unit for Gini coefficient and PPP USD in 2017 international dollars for GNI per capita

 

Version 3 changes (24.07.2025)

  • both datasets updated to cover 1990-2023 (previously 1990-2021)
  • extrapolation method updated
  • Gini data now produced also using WID national data as a base (previously only one based on SWIID was provided)
  • uncertainty analysis done for Gini (SWIID)

Files

input_data_gini.zip

Files (2.7 GB)

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Additional details

Funding

European Commission
SOS.aquaterra - Respecting safe operating spaces: opportunities to meet future food demand with sustainable use of water and land resources 819202

Software

Repository URL
https://github.com/mattikummu/subnatGini
Programming language
R