Digital connectivity composite index in Zimbabwe
Zimbabwe: Digital connectivity composite index was -0.7891 standard deviations from the yearly mean in 2024. ▬ Flat
Digital connectivity composite index in Zimbabwe, 2000–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for digital connectivity composite index in Zimbabwe is -0.7891 standard deviations from the yearly mean, measured in 2024.
That represents a change of up 2.1% on the previous year and down 13.4% over ten years.
Over the whole period, digital connectivity composite index in Zimbabwe peaked at -0.5726 standard deviations from the yearly mean in 2013 and was at its lowest, -1.04 standard deviations from the yearly mean, in 2008.
That places Zimbabwe 175th out of 209 countries with data for 2024, putting it in the bottom quarter.
Digital connectivity composite index in Zimbabwe, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2000 | -0.6411 standard deviations from the yearly mean | — |
| 2001 | -0.6288 standard deviations from the yearly mean | -1.9% |
| 2002 | -0.6821 standard deviations from the yearly mean | +8.5% |
| 2003 | -0.7334 standard deviations from the yearly mean | +7.5% |
| 2004 | -0.8119 standard deviations from the yearly mean | +10.7% |
| 2005 | -0.8398 standard deviations from the yearly mean | +3.4% |
| 2006 | -0.9277 standard deviations from the yearly mean | +10.5% |
| 2007 | -0.9715 standard deviations from the yearly mean | +4.7% |
| 2008 | -1.04 standard deviations from the yearly mean | +7.4% |
| 2009 | -0.9883 standard deviations from the yearly mean | -5.2% |
| 2010 | -0.7313 standard deviations from the yearly mean | -26.0% |
| 2011 | -0.7348 standard deviations from the yearly mean | +0.5% |
| 2012 | -0.6005 standard deviations from the yearly mean | -18.3% |
| 2013 | -0.5726 standard deviations from the yearly mean | -4.6% |
| 2014 | -0.6958 standard deviations from the yearly mean | +21.5% |
| 2015 | -0.6315 standard deviations from the yearly mean | -9.2% |
| 2016 | -0.6923 standard deviations from the yearly mean | +9.6% |
| 2017 | -0.6358 standard deviations from the yearly mean | -8.2% |
| 2018 | -0.7647 standard deviations from the yearly mean | +20.3% |
| 2019 | -0.7681 standard deviations from the yearly mean | +0.4% |
| 2020 | -0.8153 standard deviations from the yearly mean | +6.1% |
| 2021 | -0.7711 standard deviations from the yearly mean | -5.4% |
| 2022 | -0.7736 standard deviations from the yearly mean | +0.3% |
| 2023 | -0.8061 standard deviations from the yearly mean | +4.2% |
| 2024 | -0.7891 standard deviations from the yearly mean | -2.1% |
Zimbabwe compared with similar countries
- Zimbabwe's -0.7891 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, 1.4× the median. (47 countries reporting)
- Zimbabwe's -0.7891 standard deviations from the yearly mean is above the median for Sub-Saharan Africa, which is -0.83 standard deviations from the yearly mean, 95% of the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.8268 standard deviations from the yearly mean | -1.04 standard deviations from the yearly mean | -0.6288 standard deviations from the yearly mean | 10 |
| 2010s | -0.6827 standard deviations from the yearly mean | -0.7681 standard deviations from the yearly mean | -0.5726 standard deviations from the yearly mean | 10 |
| 2020s | -0.791 standard deviations from the yearly mean | -0.8153 standard deviations from the yearly mean | -0.7711 standard deviations from the yearly mean | 5 |
Countries ranked near Zimbabwe
- 172 Benin -0.7316 standard deviations from the yearly mean compare
- 173 Sao Tome and Principe -0.7565 standard deviations from the yearly mean compare
- 174 Mauritania -0.7734 standard deviations from the yearly mean compare
- 176 Sudan -0.7925 standard deviations from the yearly mean compare
- 177 Burkina Faso -0.828 standard deviations from the yearly mean compare
- 178 Lesotho -0.832 standard deviations from the yearly mean compare
More science & technology data for Zimbabwe
- Mobile landline subscriptions, per unit of GDP 0 units per US$ of GDP (2024)
- Mobile landline subscriptions, gaps filled 94.25 (2024)
- Mobile cellular subscriptions by country, per capita 0.9425 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 15.68 million (2024)
- Mobile cellular subscriptions by country, per square kilometre 38.71 units per square kilometre (2023)
- Mobile landline subscriptions, annual growth rate 2.85 % change on previous year (2024)
- Mobile cellular subscriptions by country, annual growth rate 4.7 % change on previous year (2024)
- Scientific and technical journal articles 519.85 (2023)
- Scientific and technical journal articles, per capita 0 units per person (2023)
Frequently asked questions
- What is digital connectivity composite index in Zimbabwe?
- Digital connectivity composite index in Zimbabwe was -0.7891 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Zimbabwe?
- The highest recorded value was -0.5726 standard deviations from the yearly mean in 2013.
- What is the lowest digital connectivity composite index recorded in Zimbabwe?
- The lowest recorded value was -1.04 standard deviations from the yearly mean in 2008.
- How does Zimbabwe rank for digital connectivity composite index?
- Zimbabwe ranks 175th out of 209 countries with data for 2024.
- Is digital connectivity composite index rising or falling in Zimbabwe?
- Over the last ten years it is down 13.4%. The long-run trend across the full record is flat.
- Where does this Zimbabwe 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.