Digital connectivity composite index in Congo
Congo: Digital connectivity composite index was -0.5957 standard deviations from the yearly mean in 2024. ▬ Flat
Digital connectivity composite index in Congo, 2000–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, digital connectivity composite index in Congo stood at -0.5957 standard deviations from the yearly mean.
The figure is up 20.0% on the previous year and up 14.2% over ten years.
Over the whole period, digital connectivity composite index in Congo peaked at -0.5953 standard deviations from the yearly mean in 2010 and was at its lowest, -0.8434 standard deviations from the yearly mean, in 2007.
Congo ranks 163rd of 209 countries on this measure, in the bottom quarter.
Digital connectivity composite index in Congo, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2000 | -0.6562 standard deviations from the yearly mean | — |
| 2001 | -0.6766 standard deviations from the yearly mean | +3.1% |
| 2002 | -0.7097 standard deviations from the yearly mean | +4.9% |
| 2003 | -0.7354 standard deviations from the yearly mean | +3.6% |
| 2004 | -0.8078 standard deviations from the yearly mean | +9.8% |
| 2005 | -0.8297 standard deviations from the yearly mean | +2.7% |
| 2006 | -0.8328 standard deviations from the yearly mean | +0.4% |
| 2007 | -0.8434 standard deviations from the yearly mean | +1.3% |
| 2008 | -0.8139 standard deviations from the yearly mean | -3.5% |
| 2009 | -0.6905 standard deviations from the yearly mean | -15.2% |
| 2010 | -0.5953 standard deviations from the yearly mean | -13.8% |
| 2011 | -0.6637 standard deviations from the yearly mean | +11.5% |
| 2012 | -0.6695 standard deviations from the yearly mean | +0.9% |
| 2013 | -0.6737 standard deviations from the yearly mean | +0.6% |
| 2014 | -0.6943 standard deviations from the yearly mean | +3.1% |
| 2015 | -0.6073 standard deviations from the yearly mean | -12.5% |
| 2016 | -0.6641 standard deviations from the yearly mean | +9.3% |
| 2017 | -0.7429 standard deviations from the yearly mean | +11.9% |
| 2018 | -0.8106 standard deviations from the yearly mean | +9.1% |
| 2019 | -0.8058 standard deviations from the yearly mean | -0.6% |
| 2020 | -0.7272 standard deviations from the yearly mean | -9.8% |
| 2021 | -0.7742 standard deviations from the yearly mean | +6.5% |
| 2022 | -0.7121 standard deviations from the yearly mean | -8.0% |
| 2023 | -0.7449 standard deviations from the yearly mean | +4.6% |
| 2024 | -0.5957 standard deviations from the yearly mean | -20.0% |
Congo compared with similar countries
- Congo's -0.5957 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, 1.1× the median. (47 countries reporting)
- Congo's -0.5957 standard deviations from the yearly mean is above the median for Sub-Saharan Africa, which is -0.83 standard deviations from the yearly mean, 72% of the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.7596 standard deviations from the yearly mean | -0.8434 standard deviations from the yearly mean | -0.6562 standard deviations from the yearly mean | 10 |
| 2010s | -0.6927 standard deviations from the yearly mean | -0.8106 standard deviations from the yearly mean | -0.5953 standard deviations from the yearly mean | 10 |
| 2020s | -0.7108 standard deviations from the yearly mean | -0.7742 standard deviations from the yearly mean | -0.5957 standard deviations from the yearly mean | 5 |
Countries ranked near Congo
- 160 Nepal -0.5825 standard deviations from the yearly mean compare
- 161 Namibia -0.5835 standard deviations from the yearly mean compare
- 162 Cuba -0.5855 standard deviations from the yearly mean compare
- 164 India -0.6061 standard deviations from the yearly mean compare
- 165 Haiti -0.6238 standard deviations from the yearly mean compare
- 166 Syria -0.633 standard deviations from the yearly mean compare
More science & technology data for Congo
- Mobile landline subscriptions, per unit of GDP 0 units per US$ of GDP (2024)
- Mobile landline subscriptions, gaps filled 95.53 (2024)
- Mobile cellular subscriptions by country, per capita 0.9553 units per person (2024)
- Mobile cellular subscriptions by country, per unit of GDP 0.0004 units per US$ of GDP (2024)
- Mobile cellular subscriptions by country, gaps filled 6.05 million (2024)
- Mobile cellular subscriptions by country, per square kilometre 17.18 units per square kilometre (2023)
- Mobile landline subscriptions, annual growth rate 0.6961 % change on previous year (2024)
- Mobile cellular subscriptions by country, annual growth rate 3.14 % change on previous year (2024)
- Scientific and technical journal articles 95.66 (2023)
- Scientific and technical journal articles, per capita 0 units per person (2023)
Frequently asked questions
- What is digital connectivity composite index in Congo?
- Digital connectivity composite index in Congo was -0.5957 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Congo?
- The highest recorded value was -0.5953 standard deviations from the yearly mean in 2010.
- What is the lowest digital connectivity composite index recorded in Congo?
- The lowest recorded value was -0.8434 standard deviations from the yearly mean in 2007.
- How does Congo rank for digital connectivity composite index?
- Congo ranks 163rd out of 209 countries with data for 2024.
- Is digital connectivity composite index rising or falling in Congo?
- Over the last ten years it is up 14.2%. The long-run trend across the full record is flat.
- Where does this Congo 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.