Digital connectivity composite index in Bhutan
Bhutan: Digital connectivity composite index was -0.2373 standard deviations from the yearly mean in 2024. ▲ Rising
Digital connectivity composite index in Bhutan, 2000–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for digital connectivity composite index in Bhutan is -0.2373 standard deviations from the yearly mean, measured in 2024.
That represents a change of up 10.6% on the previous year and up 53.8% over ten years.
Over the whole period, digital connectivity composite index in Bhutan peaked at -0.1869 standard deviations from the yearly mean in 2021 and was at its lowest, -0.9314 standard deviations from the yearly mean, in 2006.
Bhutan ranks 128th of 209 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 25 years of available data.
Digital connectivity composite index in Bhutan, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2000 | -0.695 standard deviations from the yearly mean | — |
| 2001 | -0.741 standard deviations from the yearly mean | +6.6% |
| 2002 | -0.7908 standard deviations from the yearly mean | +6.7% |
| 2003 | -0.8421 standard deviations from the yearly mean | +6.5% |
| 2004 | -0.8791 standard deviations from the yearly mean | +4.4% |
| 2005 | -0.9135 standard deviations from the yearly mean | +3.9% |
| 2006 | -0.9314 standard deviations from the yearly mean | +2.0% |
| 2007 | -0.9066 standard deviations from the yearly mean | -2.7% |
| 2008 | -0.8059 standard deviations from the yearly mean | -11.1% |
| 2009 | -0.7995 standard deviations from the yearly mean | -0.8% |
| 2010 | -0.652 standard deviations from the yearly mean | -18.5% |
| 2011 | -0.6412 standard deviations from the yearly mean | -1.7% |
| 2012 | -0.6089 standard deviations from the yearly mean | -5.0% |
| 2013 | -0.6079 standard deviations from the yearly mean | -0.2% |
| 2014 | -0.5135 standard deviations from the yearly mean | -15.5% |
| 2015 | -0.4125 standard deviations from the yearly mean | -19.7% |
| 2016 | -0.4296 standard deviations from the yearly mean | +4.1% |
| 2017 | -0.334 standard deviations from the yearly mean | -22.3% |
| 2018 | -0.3558 standard deviations from the yearly mean | +6.5% |
| 2019 | -0.2689 standard deviations from the yearly mean | -24.4% |
| 2020 | -0.2802 standard deviations from the yearly mean | +4.2% |
| 2021 | -0.1869 standard deviations from the yearly mean | -33.3% |
| 2022 | -0.2179 standard deviations from the yearly mean | +16.6% |
| 2023 | -0.2654 standard deviations from the yearly mean | +21.8% |
| 2024 | -0.2373 standard deviations from the yearly mean | -10.6% |
Bhutan compared with similar countries
- Bhutan's -0.2373 standard deviations from the yearly mean is above the median for lower middle income countries, which is -0.5604 standard deviations from the yearly mean, 42% of the median. (47 countries reporting)
- Bhutan's -0.2373 standard deviations from the yearly mean is above the median for South Asia, which is -0.4286 standard deviations from the yearly mean, 55% of the median. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.8305 standard deviations from the yearly mean | -0.9314 standard deviations from the yearly mean | -0.695 standard deviations from the yearly mean | 10 |
| 2010s | -0.4824 standard deviations from the yearly mean | -0.652 standard deviations from the yearly mean | -0.2689 standard deviations from the yearly mean | 10 |
| 2020s | -0.2375 standard deviations from the yearly mean | -0.2802 standard deviations from the yearly mean | -0.1869 standard deviations from the yearly mean | 5 |
Countries ranked near Bhutan
- 125 Botswana -0.1841 standard deviations from the yearly mean compare
- 126 Saint Lucia -0.2076 standard deviations from the yearly mean compare
- 127 Tonga -0.2227 standard deviations from the yearly mean compare
- 129 Marshall Islands -0.2569 standard deviations from the yearly mean compare
- 130 Djibouti -0.2696 standard deviations from the yearly mean compare
- 131 Indonesia -0.2737 standard deviations from the yearly mean compare
More science & technology data for Bhutan
- Mobile landline subscriptions, per unit of GDP 0 units per US$ of GDP (2024)
- Mobile landline subscriptions, gaps filled 99.76 (2024)
- Mobile cellular subscriptions by country, per capita 0.9976 units per person (2024)
- Mobile cellular subscriptions by country, per unit of GDP 0.0002 units per US$ of GDP (2024)
- Mobile cellular subscriptions by country, gaps filled 789,606 (2024)
- Mobile cellular subscriptions by country, per square kilometre 19.72 units per square kilometre (2023)
- Mobile landline subscriptions, annual growth rate 4.32 % change on previous year (2024)
- Mobile cellular subscriptions by country, annual growth rate 5 % change on previous year (2024)
- Scientific and technical journal articles 102.52 (2023)
- Scientific and technical journal articles, per capita 0.0001 units per person (2023)
Frequently asked questions
- What is digital connectivity composite index in Bhutan?
- Digital connectivity composite index in Bhutan was -0.2373 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Bhutan?
- The highest recorded value was -0.1869 standard deviations from the yearly mean in 2021.
- What is the lowest digital connectivity composite index recorded in Bhutan?
- The lowest recorded value was -0.9314 standard deviations from the yearly mean in 2006.
- How does Bhutan rank for digital connectivity composite index?
- Bhutan ranks 128th out of 209 countries with data for 2024.
- Is digital connectivity composite index rising or falling in Bhutan?
- Over the last ten years it is up 53.8%. The long-run trend across the full record is rising.
- Where does this Bhutan 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.