Digital connectivity composite index in Singapore
Singapore: Digital connectivity composite index was 1.07 standard deviations from the yearly mean in 2024. ▼ Falling
Digital connectivity composite index in Singapore, 2000–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Singapore recorded 1.07 standard deviations from the yearly mean for digital connectivity composite index in 2024. That is the lowest value across all 25 years on record.
Compared with earlier readings it is down 5.6% on the previous year and down 5.4% over ten years.
Over the whole period, digital connectivity composite index in Singapore peaked at 1.83 standard deviations from the yearly mean in 2004 and was at its lowest, 1.07 standard deviations from the yearly mean, in 2024.
That places Singapore 10th out of 209 countries with data for 2024, putting it in the top 10%.
The long-run direction has been consistently falling across the 25 years of available data.
Digital connectivity composite index in Singapore, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2000 | 1.67 standard deviations from the yearly mean | — |
| 2001 | 1.66 standard deviations from the yearly mean | -0.7% |
| 2002 | 1.72 standard deviations from the yearly mean | +3.6% |
| 2003 | 1.8 standard deviations from the yearly mean | +5.0% |
| 2004 | 1.83 standard deviations from the yearly mean | +1.4% |
| 2005 | 1.63 standard deviations from the yearly mean | -10.8% |
| 2006 | 1.42 standard deviations from the yearly mean | -13.2% |
| 2007 | 1.58 standard deviations from the yearly mean | +11.3% |
| 2008 | 1.45 standard deviations from the yearly mean | -7.7% |
| 2009 | 1.39 standard deviations from the yearly mean | -4.4% |
| 2010 | 1.16 standard deviations from the yearly mean | -16.3% |
| 2011 | 1.18 standard deviations from the yearly mean | +1.3% |
| 2012 | 1.26 standard deviations from the yearly mean | +6.4% |
| 2013 | 1.34 standard deviations from the yearly mean | +7.0% |
| 2014 | 1.13 standard deviations from the yearly mean | -16.1% |
| 2015 | 1.08 standard deviations from the yearly mean | -4.0% |
| 2016 | 1.78 standard deviations from the yearly mean | +64.7% |
| 2017 | 1.33 standard deviations from the yearly mean | -25.1% |
| 2018 | 1.48 standard deviations from the yearly mean | +10.8% |
| 2019 | 1.76 standard deviations from the yearly mean | +19.0% |
| 2020 | 1.37 standard deviations from the yearly mean | -22.1% |
| 2021 | 1.17 standard deviations from the yearly mean | -15.0% |
| 2022 | 1.11 standard deviations from the yearly mean | -4.8% |
| 2023 | 1.13 standard deviations from the yearly mean | +1.9% |
| 2024 | 1.07 standard deviations from the yearly mean | -5.6% |
Singapore compared with similar countries
- Singapore's 1.07 standard deviations from the yearly mean is above the median for high income countries, which is 0.5409 standard deviations from the yearly mean, 2.0× the median. (79 countries reporting)
- Singapore's 1.07 standard deviations from the yearly mean is above the median for East Asia & Pacific, which is -0.1614 standard deviations from the yearly mean. (35 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1.61 standard deviations from the yearly mean | 1.39 standard deviations from the yearly mean | 1.83 standard deviations from the yearly mean | 10 |
| 2010s | 1.35 standard deviations from the yearly mean | 1.08 standard deviations from the yearly mean | 1.78 standard deviations from the yearly mean | 10 |
| 2020s | 1.17 standard deviations from the yearly mean | 1.07 standard deviations from the yearly mean | 1.37 standard deviations from the yearly mean | 5 |
Countries ranked near Singapore
- 7 Netherlands 1.12 standard deviations from the yearly mean compare
- 8 Switzerland 1.09 standard deviations from the yearly mean compare
- 9 Cayman Islands 1.09 standard deviations from the yearly mean compare
- 11 United Arab Emirates 0.9876 standard deviations from the yearly mean compare
- 12 Germany 0.9863 standard deviations from the yearly mean compare
- 13 France 0.9512 standard deviations from the yearly mean compare
More science & technology data for Singapore
- Mobile landline subscriptions, per unit of GDP 0 units per US$ of GDP (2024)
- Mobile landline subscriptions, gaps filled 170.78 (2024)
- Mobile cellular subscriptions by country, per capita 1.65 units per person (2024)
- Mobile cellular subscriptions by country, per unit of GDP 0 units per US$ of GDP (2024)
- Mobile cellular subscriptions by country, gaps filled 9.96 million (2024)
- Mobile cellular subscriptions by country, per square kilometre 13,965 units per square kilometre (2023)
- Mobile landline subscriptions, annual growth rate -1.4 % change on previous year (2024)
- Mobile cellular subscriptions by country, annual growth rate -0.6582 % change on previous year (2024)
- Scientific and technical journal articles 11,894 (2023)
- Scientific and technical journal articles, per capita 0.002 units per person (2023)
Frequently asked questions
- What is digital connectivity composite index in Singapore?
- Digital connectivity composite index in Singapore was 1.07 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Singapore?
- The highest recorded value was 1.83 standard deviations from the yearly mean in 2004.
- What is the lowest digital connectivity composite index recorded in Singapore?
- The lowest recorded value was 1.07 standard deviations from the yearly mean in 2024.
- How does Singapore rank for digital connectivity composite index?
- Singapore ranks 10th out of 209 countries with data for 2024.
- Is digital connectivity composite index rising or falling in Singapore?
- Over the last ten years it is down 5.4%. The long-run trend across the full record is falling.
- Where does this Singapore 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.