Digital connectivity composite index in Europe & Central Asia
Europe & Central Asia: Digital connectivity composite index was 1.3 standard deviations from the yearly mean in 2025. ▬ Flat
Digital connectivity composite index in Europe & Central Asia, 2002–2025
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Europe & Central Asia recorded 1.3 standard deviations from the yearly mean for digital connectivity composite index in 2025. That is the highest value across all 24 years on record.
That represents a change of up 187.2% on the previous year and up 131.7% over ten years.
Over the whole period, digital connectivity composite index in Europe & Central Asia peaked at 1.3 standard deviations from the yearly mean in 2025 and was at its lowest, 0.4349 standard deviations from the yearly mean, in 2002.
Europe & Central Asia ranks 3rd of 45 groups on this measure, in the top 10%.
Digital connectivity composite index in Europe & Central Asia, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2002 | 0.4349 standard deviations from the yearly mean | — |
| 2003 | 0.4998 standard deviations from the yearly mean | +14.9% |
| 2004 | 0.635 standard deviations from the yearly mean | +27.1% |
| 2005 | 0.745 standard deviations from the yearly mean | +17.3% |
| 2006 | 0.8027 standard deviations from the yearly mean | +7.7% |
| 2007 | 0.8658 standard deviations from the yearly mean | +7.9% |
| 2008 | 0.8693 standard deviations from the yearly mean | +0.4% |
| 2009 | 0.8287 standard deviations from the yearly mean | -4.7% |
| 2010 | 0.6052 standard deviations from the yearly mean | -27.0% |
| 2011 | 0.5775 standard deviations from the yearly mean | -4.6% |
| 2012 | 0.5885 standard deviations from the yearly mean | +1.9% |
| 2013 | 0.5792 standard deviations from the yearly mean | -1.6% |
| 2014 | 0.5694 standard deviations from the yearly mean | -1.7% |
| 2015 | 0.5616 standard deviations from the yearly mean | -1.4% |
| 2016 | 0.6406 standard deviations from the yearly mean | +14.1% |
| 2017 | 0.5414 standard deviations from the yearly mean | -15.5% |
| 2018 | 0.5661 standard deviations from the yearly mean | +4.6% |
| 2019 | 0.6296 standard deviations from the yearly mean | +11.2% |
| 2020 | 0.5966 standard deviations from the yearly mean | -5.2% |
| 2021 | 0.5333 standard deviations from the yearly mean | -10.6% |
| 2022 | 0.4898 standard deviations from the yearly mean | -8.1% |
| 2023 | 0.4804 standard deviations from the yearly mean | -1.9% |
| 2024 | 0.4531 standard deviations from the yearly mean | -5.7% |
| 2025 | 1.3 standard deviations from the yearly mean | +187.2% |
Biggest year-on-year movements
Years where Digital connectivity composite index in Europe & Central Asia changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2025 | +187.2% | 0.4531 standard deviations from the yearly mean | 1.3 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.7101 standard deviations from the yearly mean | 0.4349 standard deviations from the yearly mean | 0.8693 standard deviations from the yearly mean | 8 |
| 2010s | 0.5859 standard deviations from the yearly mean | 0.5414 standard deviations from the yearly mean | 0.6406 standard deviations from the yearly mean | 10 |
| 2020s | 0.6424 standard deviations from the yearly mean | 0.4531 standard deviations from the yearly mean | 1.3 standard deviations from the yearly mean | 6 |
Countries ranked near Europe & Central Asia
- 1 British Virgin Islands 4.6 standard deviations from the yearly mean compare
- 2 Hong Kong 2.53 standard deviations from the yearly mean compare
- 3 Belize 2.33 standard deviations from the yearly mean compare
- 4 Fiji 1.99 standard deviations from the yearly mean compare
- 5 Denmark 1.24 standard deviations from the yearly mean compare
- 6 Cyprus 1.13 standard deviations from the yearly mean compare
More science & technology data for Europe & Central Asia
- Scientific and technical journal articles 865,613 (2023)
- Scientific and technical journal articles, per capita 0.0009 units per person (2023)
- Scientific and technical journal articles, per unit of GDP 0 units per US$ of GDP (2023)
- Scientific and technical journal articles, per square kilometre 0.0316 units per square kilometre (2023)
- Scientific and technical journal articles, annual growth rate -0.9435 % change on previous year (2023)
- Patent applications, nonresidents 151,788 (2020)
- Patent applications, residents 215,964 (2020)
- Research and development expenditure 2.1% (2023)
- Researchers in R&D 3,715 per million people (2023)
- Technicians in R&D 870.55 per million people (2017)
Frequently asked questions
- What is digital connectivity composite index in Europe & Central Asia?
- Digital connectivity composite index in Europe & Central Asia was 1.3 standard deviations from the yearly mean in 2025, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Europe & Central Asia?
- The highest recorded value was 1.3 standard deviations from the yearly mean in 2025.
- What is the lowest digital connectivity composite index recorded in Europe & Central Asia?
- The lowest recorded value was 0.4349 standard deviations from the yearly mean in 2002.
- How does Europe & Central Asia rank for digital connectivity composite index?
- Europe & Central Asia ranks 3rd out of 45 groups with data for 2025.
- Is digital connectivity composite index rising or falling in Europe & Central Asia?
- Over the last ten years it is up 131.7%. The long-run trend across the full record is flat.
- Where does this Europe & Central Asia data come from?
- The figures come from Statizoid (derived), published as part of Digital connectivity composite index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
An equal-weighted index of 4 indicators: Proportion of individuals using the Internet; Mobile cellular subscriptions; Fixed broadband subscriptions; Secure Internet servers. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.
Equal-weighted mean of the standardised inputs below.
Computed from
- Proportion of individuals using the Internet United Nations Statistics Division, SDG Global Database
- Mobile cellular subscriptions World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU)
- Fixed broadband subscriptions World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU)
- Secure Internet servers Secure Server Survey, Netcraft
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
An equal-weighted index of 4 indicators: Proportion of individuals using the Internet; Mobile cellular subscriptions; Fixed broadband subscriptions; Secure Internet servers. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.