Czechia: Secondary education, vocational pupils

Key figures

What the numbers say

In 2017, Czechia's secondary education, vocational pupils fell 1.1% on 2016 (from 286,502 to 283,313).

Across the 30 yearly changes before that (1987 to 2016), the average change was −0.9% and a typical year strayed about 8% from that (the standard deviation). This year's change was 0.0 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

On record, the biggest yearly rise was 11.9% in 2001 and the biggest yearly fall was 22.5% in 1998. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2008 to 2017 the straight-line trend is downward, about 7,185 a year. A straight line explains 88% of the movement over 10 observed years.

Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.

A straight-line projection, tested first

Extending that straight line gives about 253,615 for 2020. We show this only because the same method, fitted on earlier years, predicted 2015 to 2017 better than "no change" would have: its average miss was 5,503, against 17,985 for assuming no change. Treat it as a continuation of the recent pattern, not a forecast of events: it cannot see a recession, a policy change or a revision to the data.

See how a linear trend forecast works and the guide on forecasting without fooling yourself.

How it compares

In 2017, Czechia had the 21st highest value of the 61 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.

Closest to Czechia in the 2017 ranking

• South Africa — 18th of 61: 355,438
• Korea, Rep. — 19th of 61: 293,568
• Chile — 20th of 61: 292,757
• Finland — 22nd of 61: 261,660
• Honduras — 23rd of 61: 252,425
• Austria — 24th of 61: 238,161

What this measures

Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.

Regional and income-group figures are computed by the World Bank as a sum.

All 46 values

Secondary education, vocational pupils in nearby economies

• Albania — 20,605 (2018)
• Andorra — 488 (2018)
• Armenia — 19,676 (2018)
• Austria — 238,161 (2017)
• Azerbaijan — 152,777 (2018)
• Belarus — 82,592 (2018)
• Belgium — 524,924 (2017)
• Bosnia and Herzegovina — 94,557 (2018)
• Bulgaria — 141,163 (2017)
• Croatia — 132,833 (2017)
• Cyprus

More education data for Czechia

• Primary school starting age (years) — 6 (2025)
• Primary education, duration (years) — 5 (2025)
• Lower secondary school starting age (years) — 11 (2025)
• Secondary education, duration (years) — 8 (2025)
• Primary education, pupils — 579,161 (2023)
• Secondary education, pupils — 918,975 (2023)
• School enrollment, preprimary (% gross) — 113.53% (2020)
• School enrollment, preprimary, female (% gross) — 112% (2020)
• School enrollment, preprimary, male (% gross) — 114.98% (2020)
• School enrollment, primary (gross), gender parity index (GPI)

Reading data like this

• Where to find free public data, and how to check it before you trust it — 2 min read
• Data analysis examples: 6 worked from one dataset — 3 min read
• Real change or random noise? A plain guide to reading your numbers — 2 min read

Questions people ask

What is Czechia's secondary education, vocational pupils?

283,313 in 2017, according to the World Bank (World Development Indicators).

How has it changed since 1971?

It is down 33.5% from 426,045 in 1971 (0.88% a year on average, compounded). The highest value was 547,534 in 1996 and the lowest 283,313 in 2017.

How does Czechia rank?

Source

World Bank, World Development Indicators, indicator SE.SEC.ENRL.VO, licensed CC BY 4.0. Original source: Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS) Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.

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