Human capital composite index in Lithuania
Lithuania: Human capital composite index was 0.3686 standard deviations from the yearly mean in 2024. ▼ Falling
Human capital composite index in Lithuania, 2001–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, human capital composite index in Lithuania stood at 0.3686 standard deviations from the yearly mean.
The figure is down 24.2% on the previous year and up 13.2% over ten years.
Over the whole period, human capital composite index in Lithuania peaked at 0.7452 standard deviations from the yearly mean in 2001 and was at its lowest, 0.2122 standard deviations from the yearly mean, in 2016.
Lithuania ranks 73rd of 202 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 24 years of available data.
Human capital composite index in Lithuania, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2001 | 0.7452 standard deviations from the yearly mean | — |
| 2002 | 0.6846 standard deviations from the yearly mean | -8.1% |
| 2003 | 0.5401 standard deviations from the yearly mean | -21.1% |
| 2004 | 0.6453 standard deviations from the yearly mean | +19.5% |
| 2005 | 0.5146 standard deviations from the yearly mean | -20.2% |
| 2006 | 0.5397 standard deviations from the yearly mean | +4.9% |
| 2007 | 0.4262 standard deviations from the yearly mean | -21.0% |
| 2008 | 0.3719 standard deviations from the yearly mean | -12.7% |
| 2009 | 0.4095 standard deviations from the yearly mean | +10.1% |
| 2010 | 0.4595 standard deviations from the yearly mean | +12.2% |
| 2011 | 0.4874 standard deviations from the yearly mean | +6.1% |
| 2012 | 0.4149 standard deviations from the yearly mean | -14.9% |
| 2013 | 0.3667 standard deviations from the yearly mean | -11.6% |
| 2014 | 0.3255 standard deviations from the yearly mean | -11.2% |
| 2015 | 0.2696 standard deviations from the yearly mean | -17.2% |
| 2016 | 0.2122 standard deviations from the yearly mean | -21.3% |
| 2017 | 0.2372 standard deviations from the yearly mean | +11.8% |
| 2018 | 0.2715 standard deviations from the yearly mean | +14.5% |
| 2019 | 0.2526 standard deviations from the yearly mean | -7.0% |
| 2020 | 0.3123 standard deviations from the yearly mean | +23.6% |
| 2021 | 0.2644 standard deviations from the yearly mean | -15.3% |
| 2022 | 0.312 standard deviations from the yearly mean | +18.0% |
| 2023 | 0.4864 standard deviations from the yearly mean | +55.9% |
| 2024 | 0.3686 standard deviations from the yearly mean | -24.2% |
Lithuania compared with similar countries
- Lithuania's 0.3686 standard deviations from the yearly mean is above the median for high income countries, which is 0.3622 standard deviations from the yearly mean, 1.0× the median. (75 countries reporting)
- Lithuania's 0.3686 standard deviations from the yearly mean is above the median for Europe & Central Asia, which is 0.3686 standard deviations from the yearly mean, 1.0× the median. (53 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.5419 standard deviations from the yearly mean | 0.3719 standard deviations from the yearly mean | 0.7452 standard deviations from the yearly mean | 9 |
| 2010s | 0.3297 standard deviations from the yearly mean | 0.2122 standard deviations from the yearly mean | 0.4874 standard deviations from the yearly mean | 10 |
| 2020s | 0.3487 standard deviations from the yearly mean | 0.2644 standard deviations from the yearly mean | 0.4864 standard deviations from the yearly mean | 5 |
Countries ranked near Lithuania
- 70 Iceland 0.3789 standard deviations from the yearly mean compare
- 71 Solomon Islands 0.3733 standard deviations from the yearly mean compare
- 72 Bahrain 0.3693 standard deviations from the yearly mean compare
- 74 Germany 0.3622 standard deviations from the yearly mean compare
- 75 Japan 0.3458 standard deviations from the yearly mean compare
- 76 Chile 0.339 standard deviations from the yearly mean compare
More education data for Lithuania
- Teachers in secondary education, both sexes (number), gaps filled 27,048 (2024)
- Repeaters in primary education, all grades, both sexes (number), gaps 337 (2024)
- Enrolment in pre-primary education, male (number), gaps filled 15,487 (2024)
- Enrolment in pre-primary education, female (number), gaps filled 14,458 (2024)
- Secondary education, pupils, gaps filled 244,656 (2024)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 120,897 (2024)
- Primary education, pupils, annual growth rate -0.4914 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.0419 units per person (2024)
Frequently asked questions
- What is human capital composite index in Lithuania?
- Human capital composite index in Lithuania was 0.3686 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Lithuania?
- The highest recorded value was 0.7452 standard deviations from the yearly mean in 2001.
- What is the lowest human capital composite index recorded in Lithuania?
- The lowest recorded value was 0.2122 standard deviations from the yearly mean in 2016.
- How does Lithuania rank for human capital composite index?
- Lithuania ranks 73rd out of 202 countries with data for 2024.
- Is human capital composite index rising or falling in Lithuania?
- Over the last ten years it is up 13.2%. The long-run trend across the full record is falling.
- Where does this Lithuania data come from?
- The figures come from Statizoid (derived), published as part of Human capital composite index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 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: Literacy rate, adult total; School enrollment, primary; School enrollment, secondary; Government expenditure on education, total. 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
- Literacy rate, adult total Data API, UN Educational, Scientific and Cultural Organization (UNESCO)
- School enrollment, primary Data API, UN Educational, Scientific and Cultural Organization (UNESCO)
- School enrollment, secondary Data API, UN Educational, Scientific and Cultural Organization (UNESCO)
- Government expenditure on education, total Data API, UN Educational, Scientific and Cultural Organization (UNESCO)
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: Literacy rate, adult total; School enrollment, primary; School enrollment, secondary; Government expenditure on education, total. 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.