Digital connectivity composite index in Central Europe and the Baltics
Central Europe and the Baltics: Digital connectivity composite index was 0.4325 standard deviations from the yearly mean in 2022. ▲ Rising
Digital connectivity composite index in Central Europe and the Baltics, 2001–2022
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for digital connectivity composite index in Central Europe and the Baltics is 0.4325 standard deviations from the yearly mean, measured in 2022.
Compared with earlier readings it is down 10.2% on the previous year and down 12.3% over ten years.
Over the whole period, digital connectivity composite index in Central Europe and the Baltics peaked at 0.8239 standard deviations from the yearly mean in 2007 and was at its lowest, 0.0163 standard deviations from the yearly mean, in 2001.
Central Europe and the Baltics ranks 14th of 45 groups on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 22 years of available data.
Digital connectivity composite index in Central Europe and the Baltics, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2001 | 0.0163 standard deviations from the yearly mean | — |
| 2002 | 0.1536 standard deviations from the yearly mean | +840.7% |
| 2003 | 0.2242 standard deviations from the yearly mean | +46.0% |
| 2004 | 0.3419 standard deviations from the yearly mean | +52.5% |
| 2005 | 0.4683 standard deviations from the yearly mean | +37.0% |
| 2006 | 0.663 standard deviations from the yearly mean | +41.6% |
| 2007 | 0.8239 standard deviations from the yearly mean | +24.3% |
| 2008 | 0.8169 standard deviations from the yearly mean | -0.9% |
| 2009 | 0.7653 standard deviations from the yearly mean | -6.3% |
| 2010 | 0.4466 standard deviations from the yearly mean | -41.6% |
| 2011 | 0.4668 standard deviations from the yearly mean | +4.5% |
| 2012 | 0.493 standard deviations from the yearly mean | +5.6% |
| 2013 | 0.493 standard deviations from the yearly mean | +0.0% |
| 2014 | 0.486 standard deviations from the yearly mean | -1.4% |
| 2015 | 0.445 standard deviations from the yearly mean | -8.4% |
| 2016 | 0.5756 standard deviations from the yearly mean | +29.3% |
| 2017 | 0.489 standard deviations from the yearly mean | -15.0% |
| 2018 | 0.511 standard deviations from the yearly mean | +4.5% |
| 2019 | 0.5572 standard deviations from the yearly mean | +9.1% |
| 2020 | 0.5402 standard deviations from the yearly mean | -3.1% |
| 2021 | 0.4817 standard deviations from the yearly mean | -10.8% |
| 2022 | 0.4325 standard deviations from the yearly mean | -10.2% |
Biggest year-on-year movements
Years where Digital connectivity composite index in Central Europe and the Baltics 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 |
|---|---|---|---|
| 2002 | +840.7% | 0.0163 standard deviations from the yearly mean | 0.1536 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.4748 standard deviations from the yearly mean | 0.0163 standard deviations from the yearly mean | 0.8239 standard deviations from the yearly mean | 9 |
| 2010s | 0.4963 standard deviations from the yearly mean | 0.445 standard deviations from the yearly mean | 0.5756 standard deviations from the yearly mean | 10 |
| 2020s | 0.4848 standard deviations from the yearly mean | 0.4325 standard deviations from the yearly mean | 0.5402 standard deviations from the yearly mean | 3 |
Countries ranked near Central Europe and the Baltics
- 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 0.9229 standard deviations from the yearly mean compare
- 15 Luxembourg 0.9094 standard deviations from the yearly mean compare
- 16 South Korea 0.9059 standard deviations from the yearly mean compare
- 17 Andorra 0.9052 standard deviations from the yearly mean compare
More science & technology data for Central Europe and the Baltics
- Scientific and technical journal articles 89,166 (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 0.0807 units per square kilometre (2023)
- Scientific and technical journal articles, annual growth rate -0.3137 % change on previous year (2023)
- Research and development expenditure 1.3% (2023)
- Researchers in R&D 3,248 per million people (2023)
- Technicians in R&D 656.65 per million people (2017)
Frequently asked questions
- What is digital connectivity composite index in Central Europe and the Baltics?
- Digital connectivity composite index in Central Europe and the Baltics was 0.4325 standard deviations from the yearly mean in 2022, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Central Europe and the Baltics?
- The highest recorded value was 0.8239 standard deviations from the yearly mean in 2007.
- What is the lowest digital connectivity composite index recorded in Central Europe and the Baltics?
- The lowest recorded value was 0.0163 standard deviations from the yearly mean in 2001.
- How does Central Europe and the Baltics rank for digital connectivity composite index?
- Central Europe and the Baltics ranks 14th out of 45 groups with data for 2022.
- Is digital connectivity composite index rising or falling in Central Europe and the Baltics?
- Over the last ten years it is down 12.3%. The long-run trend across the full record is rising.
- Where does this Central Europe and the Baltics 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 — 22 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.