Digital connectivity composite index in Malaysia
Malaysia: Digital connectivity composite index was 0.218 standard deviations from the yearly mean in 2024. ▼ Falling
Digital connectivity composite index in Malaysia, 2000–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, digital connectivity composite index in Malaysia stood at 0.218 standard deviations from the yearly mean. That is the lowest value across all 25 years on record.
The figure is down 31.9% on the previous year and down 32.1% over ten years.
Over the whole period, digital connectivity composite index in Malaysia peaked at 0.61 standard deviations from the yearly mean in 2000 and was at its lowest, 0.218 standard deviations from the yearly mean, in 2024.
That places Malaysia 77th out of 209 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently falling across the 25 years of available data.
Digital connectivity composite index in Malaysia, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2000 | 0.61 standard deviations from the yearly mean | — |
| 2001 | 0.3059 standard deviations from the yearly mean | -49.8% |
| 2002 | 0.31 standard deviations from the yearly mean | +1.3% |
| 2003 | 0.3055 standard deviations from the yearly mean | -1.4% |
| 2004 | 0.4145 standard deviations from the yearly mean | +35.7% |
| 2005 | 0.5701 standard deviations from the yearly mean | +37.5% |
| 2006 | 0.439 standard deviations from the yearly mean | -23.0% |
| 2007 | 0.4856 standard deviations from the yearly mean | +10.6% |
| 2008 | 0.4758 standard deviations from the yearly mean | -2.0% |
| 2009 | 0.4159 standard deviations from the yearly mean | -12.6% |
| 2010 | 0.2616 standard deviations from the yearly mean | -37.1% |
| 2011 | 0.2944 standard deviations from the yearly mean | +12.6% |
| 2012 | 0.3903 standard deviations from the yearly mean | +32.6% |
| 2013 | 0.2708 standard deviations from the yearly mean | -30.6% |
| 2014 | 0.3211 standard deviations from the yearly mean | +18.6% |
| 2015 | 0.33 standard deviations from the yearly mean | +2.8% |
| 2016 | 0.3104 standard deviations from the yearly mean | -6.0% |
| 2017 | 0.2852 standard deviations from the yearly mean | -8.1% |
| 2018 | 0.2329 standard deviations from the yearly mean | -18.3% |
| 2019 | 0.2459 standard deviations from the yearly mean | +5.5% |
| 2020 | 0.2737 standard deviations from the yearly mean | +11.3% |
| 2021 | 0.3811 standard deviations from the yearly mean | +39.2% |
| 2022 | 0.3764 standard deviations from the yearly mean | -1.2% |
| 2023 | 0.3201 standard deviations from the yearly mean | -14.9% |
| 2024 | 0.218 standard deviations from the yearly mean | -31.9% |
Malaysia compared with similar countries
- Malaysia's 0.218 standard deviations from the yearly mean is above the median for upper middle income countries, which is 0.0583 standard deviations from the yearly mean, 3.7× the median. (58 countries reporting)
- Malaysia's 0.218 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 | 0.4332 standard deviations from the yearly mean | 0.3055 standard deviations from the yearly mean | 0.61 standard deviations from the yearly mean | 10 |
| 2010s | 0.2943 standard deviations from the yearly mean | 0.2329 standard deviations from the yearly mean | 0.3903 standard deviations from the yearly mean | 10 |
| 2020s | 0.3139 standard deviations from the yearly mean | 0.218 standard deviations from the yearly mean | 0.3811 standard deviations from the yearly mean | 5 |
Countries ranked near Malaysia
- 74 Colombia 0.246 standard deviations from the yearly mean compare
- 75 Qatar 0.2451 standard deviations from the yearly mean compare
- 76 Costa Rica 0.2311 standard deviations from the yearly mean compare
- 78 Maldives 0.2129 standard deviations from the yearly mean compare
- 79 Bulgaria 0.2001 standard deviations from the yearly mean compare
- 80 Moldova 0.1695 standard deviations from the yearly mean compare
More science & technology data for Malaysia
- Mobile landline subscriptions, per unit of GDP 0 units per US$ of GDP (2024)
- Mobile landline subscriptions, gaps filled 139.66 (2024)
- Mobile cellular subscriptions by country, per capita 1.4 units per person (2024)
- Mobile cellular subscriptions by country, per unit of GDP 0.0001 units per US$ of GDP (2024)
- Mobile cellular subscriptions by country, gaps filled 49.66 million (2024)
- Mobile cellular subscriptions by country, per square kilometre 152.6 units per square kilometre (2023)
- Mobile landline subscriptions, annual growth rate -2.15 % change on previous year (2024)
- Mobile cellular subscriptions by country, annual growth rate -0.9474 % change on previous year (2024)
- Scientific and technical journal articles 23,691 (2023)
- Scientific and technical journal articles, per capita 0.0007 units per person (2023)
Frequently asked questions
- What is digital connectivity composite index in Malaysia?
- Digital connectivity composite index in Malaysia was 0.218 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in Malaysia?
- The highest recorded value was 0.61 standard deviations from the yearly mean in 2000.
- What is the lowest digital connectivity composite index recorded in Malaysia?
- The lowest recorded value was 0.218 standard deviations from the yearly mean in 2024.
- How does Malaysia rank for digital connectivity composite index?
- Malaysia ranks 77th out of 209 countries with data for 2024.
- Is digital connectivity composite index rising or falling in Malaysia?
- Over the last ten years it is down 32.1%. The long-run trend across the full record is falling.
- Where does this Malaysia 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.