The GovTech Maturity Index (GTMI) provides a snapshot of the public sector digital transformation across 198 economies, presenting the good practices together with gaps that represent opportunities for improvement. The GTMI is a composite index that captures the maturity of four GovTech focus areas through 48 indicators covering: (i) core government systems and shared digital infrastructure, (ii) online public service delivery and open data, (iii) digital citizen engagement, and (iv) GovTech enablers including dimensions such as strategy, institutions, laws, digital skills, innovation, and startup policies.
The GTMI is not intended to create a ranking or assess a country’s readiness for or performance of GovTech; rather, it complements existing tools and diagnostics by providing an overview of global GovTech practices to assist practitioners in the design of digital transformation interventions. To do this, the GTMI 2025 update draws on two sources of data: (a) online survey responses from 158 participating economies, and (b) remotely collected data from the public web resources of the remaining non-participating economies.
The construction of the GTMI is primarily based on the World Bank’s GovTech Dataset which is an Excel file posted on the WBG Data Catalog. The GTMI 2025 update maintains the 2022 methodology with minor adjustments. Based on the maturity of GovTech focus areas, economies are grouped into four categories, A to D.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were verified on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz
• Memory available: 7.97 GB
None.
To reproduce the results from this package, users should download the full package, open the Excel workbook, and verify that all formulas reference the data sheets contained within the same file. No additional software or code execution is required.
All data sources are publicly available and included in the reproducibility package.
| Author | Affiliation | |
|---|---|---|
| Cem Dener | World Bank | cdener@worldbank.org |
| Joao Ricardo Vasconcelos | World Bank | jvasconcelos@worldbank.org |
| Freida Siregar | World Bank | fsiregar@worldbank.org |
| Hubert Nii-Aponsah | World Bank | hniiaponsah@worldbank.org |
| Yunsang Song | World Bank | ysong10@worldbank.org |
| Per Nordlund | World Bank | pnordlund@worldbank.org |
| Arto Juhani Immonen | World Bank | aimmonen@worldbank.org |
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| Location | Code |
|---|---|
| World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Cem Dener | World Bank | cdener@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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