Digital connectivity composite index in Europe & Central Asia (excluding high income)
Europe & Central Asia (excluding high income): Digital connectivity composite index was 0.5412 standard deviations from the yearly mean in 2025. ◆ Volatile
Digital connectivity composite index in Europe & Central Asia (excluding high income), 2005–2025
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for digital connectivity composite index in Europe & Central Asia (excluding high income) is 0.5412 standard deviations from the yearly mean, measured in 2025. That is the highest value across all 21 years on record.
That represents a change of up 2,739.6% on the previous year and up 861.2% over ten years.
Over the whole period, digital connectivity composite index in Europe & Central Asia (excluding high income) peaked at 0.5412 standard deviations from the yearly mean in 2025 and was at its lowest, -0.2371 standard deviations from the yearly mean, in 2005.
Europe & Central Asia (excluding high income) ranks 12th of 45 groups on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Digital connectivity composite index in Europe & Central Asia (excluding high income), year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2005 | -0.2371 standard deviations from the yearly mean | — |
| 2006 | -0.1157 standard deviations from the yearly mean | -51.2% |
| 2007 | -0.0212 standard deviations from the yearly mean | -81.7% |
| 2008 | -0.0057 standard deviations from the yearly mean | -72.9% |
| 2009 | -0.0475 standard deviations from the yearly mean | +727.0% |
| 2010 | -0.1245 standard deviations from the yearly mean | +161.8% |
| 2011 | -0.0932 standard deviations from the yearly mean | -25.1% |
| 2012 | -0.0868 standard deviations from the yearly mean | -6.9% |
| 2013 | -0.0788 standard deviations from the yearly mean | -9.2% |
| 2014 | -0.0857 standard deviations from the yearly mean | +8.8% |
| 2015 | -0.0711 standard deviations from the yearly mean | -17.1% |
| 2016 | -0.0632 standard deviations from the yearly mean | -11.2% |
| 2017 | -0.0224 standard deviations from the yearly mean | -64.5% |
| 2018 | -0.0587 standard deviations from the yearly mean | +162.0% |
| 2019 | -0.0349 standard deviations from the yearly mean | -40.5% |
| 2020 | -0.0299 standard deviations from the yearly mean | -14.5% |
| 2021 | 0.0321 standard deviations from the yearly mean | -207.4% |
| 2022 | 0.0284 standard deviations from the yearly mean | -11.5% |
| 2023 | 0.0032 standard deviations from the yearly mean | -88.6% |
| 2024 | -0.0205 standard deviations from the yearly mean | -735.7% |
| 2025 | 0.5412 standard deviations from the yearly mean | -2739.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.0855 standard deviations from the yearly mean | -0.2371 standard deviations from the yearly mean | -0.0057 standard deviations from the yearly mean | 5 |
| 2010s | -0.0719 standard deviations from the yearly mean | -0.1245 standard deviations from the yearly mean | -0.0224 standard deviations from the yearly mean | 10 |
| 2020s | 0.0924 standard deviations from the yearly mean | -0.0299 standard deviations from the yearly mean | 0.5412 standard deviations from the yearly mean | 6 |
Countries ranked near Europe & Central Asia (excluding high income)
- 9 Cayman Islands 1.09 standard deviations from the yearly mean compare
- 10 Singapore 1.07 standard deviations from the yearly mean compare
- 11 United Arab Emirates 0.9876 standard deviations from the yearly mean compare
- 12 Germany 0.9863 standard deviations from the yearly mean compare
- 13 France 0.9512 standard deviations from the yearly mean compare
- 14 United States of America 0.9229 standard deviations from the yearly mean compare
- 15 Luxembourg 0.9094 standard deviations from the yearly mean compare
More science & technology data for Europe & Central Asia (excluding high income)
- Scientific and technical journal articles 87,222 (2023)
- Scientific and technical journal articles, per capita 0.0004 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 0.0148 units per square kilometre (2023)
- Scientific and technical journal articles, annual growth rate 6.55 % change on previous year (2023)
- Research and development expenditure 0.9% (2023)
- Researchers in R&D 1,773 per million people (2023)
- Technicians in R&D 223.49 per million people (2017)
All data for Europe & Central Asia (excluding high income) →
Frequently asked questions
- What is digital connectivity composite index in Europe & Central Asia (excluding high income)?
- Digital connectivity composite index in Europe & Central Asia (excluding high income) was 0.5412 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 (excluding high income)?
- The highest recorded value was 0.5412 standard deviations from the yearly mean in 2025.
- What is the lowest digital connectivity composite index recorded in Europe & Central Asia (excluding high income)?
- The lowest recorded value was -0.2371 standard deviations from the yearly mean in 2005.
- How does Europe & Central Asia (excluding high income) rank for digital connectivity composite index?
- Europe & Central Asia (excluding high income) ranks 12th out of 45 groups with data for 2025.
- Is digital connectivity composite index rising or falling in Europe & Central Asia (excluding high income)?
- Over the last ten years it is up 861.2%. The long-run trend across the full record is volatile.
- Where does this Europe & Central Asia (excluding high income) 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 — 21 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.