Data
The DPI data is collected based on the DPI conceptualisation and measurement framework.
Each variable pertains to a specific attribute of DPI, tracking indicators across digital ID, digital payment and data exchange systems.
Read the Codebook for detailed descriptions of the variables.
View the data in Google Sheets, or download the data as JSON:
A snapshot of the data formatted for statistical analysis is available here
Citation
DPI Map (2025-10-27). Institute for Innovation and Public Purpose, UCL. https://dpimap.org/dataReleases
| Date | Changes |
|---|---|
| 2025-10-27 Current | Data Formatting and Record Count Correction: Digital ID: Lesotho, Indonesia, Kasakhstan, Greenland Digital payments: Moldova Data exchange: Guinea, Philippines, Bonaire, Sint Eustatius |
| 2025-09-30 | Digital ID: Tonga, Slovenia, Bosnia and Herzegovina, Zimbabwe, Democratic Republic of Congo, Angola, Benin, Malawi, Japan, Peru, Greenland, Mexico, Honduras, United Kingdom, Indonesia, Philippines, Singapore, Thailand, Mali, Mauritania, Germany, Nigeria Digital payments: Barbados, India, Yemen, Burkina Faso, Samoa Data exchange: Sri Lanka, Bosnia and Herzegovina, Bangladesh, Japan, Mexico, Peru, Yemen |
| 2025-06-30 | Digital ID: Indonesia, Philippines, Singapore, Thailand, Mali, Mauritania, Germany, Nigeria Digital payments: Uganda. Some variables combined and data reporting revised. See codebook. |
| 2025-03-31 | Digital ID: Tanzania, Egypt, Italy, Argentina, Indonesia, Switzerland, Vietnam Greece, Bolivia, El Salvador, Ethiopia, Rwanda, Qatar, Digital payments: Cambodia, Tanzania, Egypt, Switzerland, Kenya, Segeal, Tunisia, Sri Lanka, Philippines, Data exchange: Tanzania, Azerbaijan, Switzerland, Tunisia, Philippines. Some variables combined and data reporting revised. See codebook |
| 2024-11-19 | Digital identity - information on funding orgs removed |
| 2024-09-30 | Global dataset of 210 countries, excluding non-self-governing territories and overseas territories. Excludes data points from previous version where the keyword search methodology was not successful / effective |
| 2024-06-10 | Dataset with 132 countries across all of Asia, Africa, Latin America, Caribbean and parts of Asia |