Digital connectivity composite index in Middle East, North Africa, Afghanistan & Pakistan
Middle East, North Africa, Afghanistan & Pakistan: Digital connectivity composite index was -0.2379 standard deviations from the yearly mean in 2025. ▲ Rising
Digital connectivity composite index in Middle East, North Africa, Afghanistan & Pakistan, 2002–2025
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2025, digital connectivity composite index in Middle East, North Africa, Afghanistan & Pakistan stood at -0.2379 standard deviations from the yearly mean.
That represents a change of up 41.5% on the previous year and up 11.7% over ten years.
Over the whole period, digital connectivity composite index in Middle East, North Africa, Afghanistan & Pakistan peaked at -0.2353 standard deviations from the yearly mean in 2017 and was at its lowest, -0.5281 standard deviations from the yearly mean, in 2003.
Middle East, North Africa, Afghanistan & Pakistan ranks 26th of 45 groups on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 23 years of available data.
Digital connectivity composite index in Middle East, North Africa, Afghanistan & Pakistan, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2002 | -0.5075 standard deviations from the yearly mean | — |
| 2003 | -0.5281 standard deviations from the yearly mean | +4.1% |
| 2005 | -0.4767 standard deviations from the yearly mean | -9.7% |
| 2006 | -0.4717 standard deviations from the yearly mean | -1.0% |
| 2007 | -0.3849 standard deviations from the yearly mean | -18.4% |
| 2008 | -0.3675 standard deviations from the yearly mean | -4.5% |
| 2009 | -0.3143 standard deviations from the yearly mean | -14.5% |
| 2010 | -0.3076 standard deviations from the yearly mean | -2.2% |
| 2011 | -0.3051 standard deviations from the yearly mean | -0.8% |
| 2012 | -0.2882 standard deviations from the yearly mean | -5.5% |
| 2013 | -0.2784 standard deviations from the yearly mean | -3.4% |
| 2014 | -0.2821 standard deviations from the yearly mean | +1.3% |
| 2015 | -0.2693 standard deviations from the yearly mean | -4.5% |
| 2016 | -0.3086 standard deviations from the yearly mean | +14.6% |
| 2017 | -0.2353 standard deviations from the yearly mean | -23.8% |
| 2018 | -0.2847 standard deviations from the yearly mean | +21.0% |
| 2019 | -0.2529 standard deviations from the yearly mean | -11.2% |
| 2020 | -0.4057 standard deviations from the yearly mean | +60.4% |
| 2021 | -0.3406 standard deviations from the yearly mean | -16.0% |
| 2022 | -0.3103 standard deviations from the yearly mean | -8.9% |
| 2023 | -0.3817 standard deviations from the yearly mean | +23.0% |
| 2024 | -0.4069 standard deviations from the yearly mean | +6.6% |
| 2025 | -0.2379 standard deviations from the yearly mean | -41.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.4358 standard deviations from the yearly mean | -0.5281 standard deviations from the yearly mean | -0.3143 standard deviations from the yearly mean | 7 |
| 2010s | -0.2812 standard deviations from the yearly mean | -0.3086 standard deviations from the yearly mean | -0.2353 standard deviations from the yearly mean | 10 |
| 2020s | -0.3472 standard deviations from the yearly mean | -0.4069 standard deviations from the yearly mean | -0.2379 standard deviations from the yearly mean | 6 |
Countries ranked near Middle East, North Africa, Afghanistan & Pakistan
- 23 Saudi Arabia 0.8075 standard deviations from the yearly mean compare
- 24 Gibraltar 0.8056 standard deviations from the yearly mean compare
- 25 Sweden 0.746 standard deviations from the yearly mean compare
- 26 Iceland 0.7053 standard deviations from the yearly mean compare
- 27 Macao 0.702 standard deviations from the yearly mean compare
- 28 Malta 0.6735 standard deviations from the yearly mean compare
- 29 Seychelles 0.6567 standard deviations from the yearly mean compare
More science & technology data for Middle East, North Africa, Afghanistan & Pakistan
- Scientific and technical journal articles 200,353 (2023)
- Scientific and technical journal articles, per capita 0.0003 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 0.0159 units per square kilometre (2023)
- Scientific and technical journal articles, annual growth rate 3.36 % change on previous year (2023)
- Patent applications, nonresidents 18,210 (2020)
- Patent applications, residents 17,557 (2020)
All data for Middle East, North Africa, Afghanistan & Pakistan →
Frequently asked questions
- What is digital connectivity composite index in Middle East, North Africa, Afghanistan & Pakistan?
- Digital connectivity composite index in Middle East, North Africa, Afghanistan & Pakistan was -0.2379 standard deviations from the yearly mean in 2025, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Middle East, North Africa, Afghanistan & Pakistan?
- The highest recorded value was -0.2353 standard deviations from the yearly mean in 2017.
- What is the lowest digital connectivity composite index recorded in Middle East, North Africa, Afghanistan & Pakistan?
- The lowest recorded value was -0.5281 standard deviations from the yearly mean in 2003.
- How does Middle East, North Africa, Afghanistan & Pakistan rank for digital connectivity composite index?
- Middle East, North Africa, Afghanistan & Pakistan ranks 26th out of 45 groups with data for 2025.
- Is digital connectivity composite index rising or falling in Middle East, North Africa, Afghanistan & Pakistan?
- Over the last ten years it is up 11.7%. The long-run trend across the full record is rising.
- Where does this Middle East, North Africa, Afghanistan & Pakistan 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 — 23 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.