Digital connectivity composite index in Comoros
Comoros: Digital connectivity composite index was -0.9367 standard deviations from the yearly mean in 2024. ▬ Flat
Digital connectivity composite index in Comoros, 2000–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, digital connectivity composite index in Comoros stood at -0.9367 standard deviations from the yearly mean.
That represents a change of down 20.7% on the previous year and up 4.9% over ten years.
Over the whole period, digital connectivity composite index in Comoros peaked at -0.6986 standard deviations from the yearly mean in 2000 and was at its lowest, -1.09 standard deviations from the yearly mean, in 2009.
Comoros ranks 187th of 209 countries on this measure, in the bottom quarter.
Digital connectivity composite index in Comoros, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2000 | -0.6986 standard deviations from the yearly mean | — |
| 2001 | -0.7568 standard deviations from the yearly mean | +8.3% |
| 2002 | -0.8204 standard deviations from the yearly mean | +8.4% |
| 2003 | -0.8814 standard deviations from the yearly mean | +7.4% |
| 2004 | -0.8489 standard deviations from the yearly mean | -3.7% |
| 2005 | -0.8731 standard deviations from the yearly mean | +2.9% |
| 2006 | -1.06 standard deviations from the yearly mean | +21.2% |
| 2007 | -0.9778 standard deviations from the yearly mean | -7.6% |
| 2008 | -1.04 standard deviations from the yearly mean | +6.2% |
| 2009 | -1.09 standard deviations from the yearly mean | +5.2% |
| 2010 | -0.9423 standard deviations from the yearly mean | -13.8% |
| 2011 | -0.9807 standard deviations from the yearly mean | +4.1% |
| 2012 | -0.9672 standard deviations from the yearly mean | -1.4% |
| 2013 | -0.9567 standard deviations from the yearly mean | -1.1% |
| 2014 | -0.9845 standard deviations from the yearly mean | +2.9% |
| 2015 | -0.9846 standard deviations from the yearly mean | +0.0% |
| 2016 | -1.02 standard deviations from the yearly mean | +3.8% |
| 2017 | -1.02 standard deviations from the yearly mean | -0.0% |
| 2018 | -0.8568 standard deviations from the yearly mean | -16.2% |
| 2019 | -0.967 standard deviations from the yearly mean | +12.9% |
| 2020 | -0.8102 standard deviations from the yearly mean | -16.2% |
| 2021 | -0.7085 standard deviations from the yearly mean | -12.6% |
| 2022 | -0.7631 standard deviations from the yearly mean | +7.7% |
| 2023 | -0.7758 standard deviations from the yearly mean | +1.7% |
| 2024 | -0.9367 standard deviations from the yearly mean | +20.7% |
Comoros compared with similar countries
- Comoros's -0.9367 standard deviations from the yearly mean is below the median for lower middle income countries, which is -0.5604 standard deviations from the yearly mean, 1.7× the median. (47 countries reporting)
- Comoros's -0.9367 standard deviations from the yearly mean is below the median for Sub-Saharan Africa, which is -0.83 standard deviations from the yearly mean, 1.1× the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.9048 standard deviations from the yearly mean | -1.09 standard deviations from the yearly mean | -0.6986 standard deviations from the yearly mean | 10 |
| 2010s | -0.9684 standard deviations from the yearly mean | -1.02 standard deviations from the yearly mean | -0.8568 standard deviations from the yearly mean | 10 |
| 2020s | -0.7989 standard deviations from the yearly mean | -0.9367 standard deviations from the yearly mean | -0.7085 standard deviations from the yearly mean | 5 |
Countries ranked near Comoros
- 184 Rwanda -0.9162 standard deviations from the yearly mean compare
- 185 Democratic Republic of Congo -0.9196 standard deviations from the yearly mean compare
- 186 Guinea -0.9205 standard deviations from the yearly mean compare
- 188 Nigeria -0.9423 standard deviations from the yearly mean compare
- 189 Liberia -0.9428 standard deviations from the yearly mean compare
- 190 Angola -0.9483 standard deviations from the yearly mean compare
More science & technology data for Comoros
- Mobile landline subscriptions, per unit of GDP 0 units per US$ of GDP (2023)
- Mobile landline subscriptions, gaps filled 109.86 (2023)
- Mobile cellular subscriptions by country, per capita 1.1 units per person (2023)
- Mobile cellular subscriptions by country, per unit of GDP 0.0006 units per US$ of GDP (2023)
- Mobile cellular subscriptions by country, gaps filled 934,198 (2023)
- Mobile cellular subscriptions by country, per square kilometre 501.99 units per square kilometre (2023)
- Mobile landline subscriptions, annual growth rate 9.26 % change on previous year (2023)
- Mobile cellular subscriptions by country, annual growth rate 11.38 % change on previous year (2023)
- Scientific and technical journal articles 8.01 (2023)
- Scientific and technical journal articles, per capita 0 units per person (2023)
Frequently asked questions
- What is digital connectivity composite index in Comoros?
- Digital connectivity composite index in Comoros was -0.9367 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Comoros?
- The highest recorded value was -0.6986 standard deviations from the yearly mean in 2000.
- What is the lowest digital connectivity composite index recorded in Comoros?
- The lowest recorded value was -1.09 standard deviations from the yearly mean in 2009.
- How does Comoros rank for digital connectivity composite index?
- Comoros ranks 187th out of 209 countries with data for 2024.
- Is digital connectivity composite index rising or falling in Comoros?
- Over the last ten years it is up 4.9%. The long-run trend across the full record is flat.
- Where does this Comoros 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 — 25 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.