Human capital composite index in Central Europe and the Baltics
Central Europe and the Baltics: Human capital composite index was 0.471 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in Central Europe and the Baltics, 1992–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, human capital composite index in Central Europe and the Baltics stood at 0.471 standard deviations from the yearly mean.
That represents a change of down 3.5% on the previous year and up 27.6% over ten years.
Over the whole period, human capital composite index in Central Europe and the Baltics peaked at 1.06 standard deviations from the yearly mean in 1992 and was at its lowest, 0.1673 standard deviations from the yearly mean, in 2020.
Central Europe and the Baltics ranks 4th of 43 groups on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Human capital composite index in Central Europe and the Baltics, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1992 | 1.06 standard deviations from the yearly mean | — |
| 1993 | 0.8523 standard deviations from the yearly mean | -19.9% |
| 1994 | 0.9069 standard deviations from the yearly mean | +6.4% |
| 1999 | 0.6142 standard deviations from the yearly mean | -32.3% |
| 2000 | 0.5949 standard deviations from the yearly mean | -3.1% |
| 2001 | 0.5196 standard deviations from the yearly mean | -12.7% |
| 2002 | 0.4939 standard deviations from the yearly mean | -5.0% |
| 2003 | 0.4346 standard deviations from the yearly mean | -12.0% |
| 2004 | 0.4414 standard deviations from the yearly mean | +1.6% |
| 2005 | 0.3569 standard deviations from the yearly mean | -19.1% |
| 2006 | 0.3863 standard deviations from the yearly mean | +8.2% |
| 2007 | 0.2729 standard deviations from the yearly mean | -29.4% |
| 2008 | 0.2744 standard deviations from the yearly mean | +0.6% |
| 2009 | 0.2298 standard deviations from the yearly mean | -16.2% |
| 2010 | 0.259 standard deviations from the yearly mean | +12.7% |
| 2011 | 0.2532 standard deviations from the yearly mean | -2.2% |
| 2012 | 0.2012 standard deviations from the yearly mean | -20.5% |
| 2013 | 0.1954 standard deviations from the yearly mean | -2.9% |
| 2014 | 0.3692 standard deviations from the yearly mean | +88.9% |
| 2015 | 0.388 standard deviations from the yearly mean | +5.1% |
| 2016 | 0.3118 standard deviations from the yearly mean | -19.7% |
| 2017 | 0.2549 standard deviations from the yearly mean | -18.2% |
| 2018 | 0.2418 standard deviations from the yearly mean | -5.2% |
| 2019 | 0.2501 standard deviations from the yearly mean | +3.4% |
| 2020 | 0.1673 standard deviations from the yearly mean | -33.1% |
| 2021 | 0.3668 standard deviations from the yearly mean | +119.3% |
| 2022 | 0.3252 standard deviations from the yearly mean | -11.3% |
| 2023 | 0.4882 standard deviations from the yearly mean | +50.1% |
| 2024 | 0.471 standard deviations from the yearly mean | -3.5% |
Biggest year-on-year movements
Years where Human capital composite index in Central Europe and the Baltics changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2021 | +119.3% | 0.1673 standard deviations from the yearly mean | 0.3668 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.8595 standard deviations from the yearly mean | 0.6142 standard deviations from the yearly mean | 1.06 standard deviations from the yearly mean | 4 |
| 2000s | 0.4005 standard deviations from the yearly mean | 0.2298 standard deviations from the yearly mean | 0.5949 standard deviations from the yearly mean | 10 |
| 2010s | 0.2725 standard deviations from the yearly mean | 0.1954 standard deviations from the yearly mean | 0.388 standard deviations from the yearly mean | 10 |
| 2020s | 0.3637 standard deviations from the yearly mean | 0.1673 standard deviations from the yearly mean | 0.4882 standard deviations from the yearly mean | 5 |
Countries ranked near Central Europe and the Baltics
- 1 Haiti 2.51 standard deviations from the yearly mean compare
- 2 Monaco 2.39 standard deviations from the yearly mean compare
- 3 United States Virgin Islands 1.83 standard deviations from the yearly mean
- 4 Sweden 1.57 standard deviations from the yearly mean compare
- 5 Vanuatu 1.38 standard deviations from the yearly mean compare
- 6 Sierra Leone 1.37 standard deviations from the yearly mean compare
- 7 Namibia 1.35 standard deviations from the yearly mean compare
More education data for Central Europe and the Baltics
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Secondary education, pupils, gaps filled 8.33 million (2024)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 4.52 million (2024)
- Primary education, pupils, annual growth rate 0 % change on previous year (2024)
- Primary education, pupils, per capita 0.0452 units per person (2024)
- Primary education, teachers, gaps filled 337,770 (2024)
- Secondary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Population ages 15-64 64.3% (2025)
- Population ages 0-14 14.8% (2025)
Frequently asked questions
- What is human capital composite index in Central Europe and the Baltics?
- Human capital composite index in Central Europe and the Baltics was 0.471 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Central Europe and the Baltics?
- The highest recorded value was 1.06 standard deviations from the yearly mean in 1992.
- What is the lowest human capital composite index recorded in Central Europe and the Baltics?
- The lowest recorded value was 0.1673 standard deviations from the yearly mean in 2020.
- How does Central Europe and the Baltics rank for human capital composite index?
- Central Europe and the Baltics ranks 4th out of 43 groups with data for 2024.
- Is human capital composite index rising or falling in Central Europe and the Baltics?
- Over the last ten years it is up 27.6%. The long-run trend across the full record is volatile.
- Where does this Central Europe and the Baltics 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 — 29 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.