A Degree as Insurance, Not a Compass: How Czech University Graduates Fare in the Job Market

The article reveals a paradox of Czech higher education: at 1.3%, the Czech Republic has the lowest graduate unemployment in the entire EU, yet a degree here reliably protects against unemployment without guaranteeing work in one's field — nearly a quarter of graduates work outside their field of study, and for the humanities and arts it is roughly half. The author maps the vast disparities between fields (from zero unemployment among doctors and IT specialists to 16% among artists), drawing on data from Eurostat, the Czech Statistical Office (ČSÚ), the OECD, and the MŠMT survey Absolvent 2018. He also points out that more detailed, up-to-date data on graduate employment by field is lacking in the Czech Republic.
Czechia has the lowest unemployment among university graduates in the entire European Union — a mere 1.3%. Yet behind this figure lies a paradox: nearly one in four graduates works outside the field they studied. In the humanities and the arts, it is one in two.
A university degree in Czechia works as an exceptionally strong shield against unemployment. It does not, however, guarantee that the graduate will end up in the profession they spent years preparing for. The differences between fields, meanwhile, are vast — while doctors and computer scientists have virtually zero unemployment, graduates of arts programmes face a rate of sixteen percent. This article draws on data from Eurostat, the Czech Statistical Office (ČSÚ), the OECD, the Ministry of Education's "Absolvent 2018" (Graduate 2018) survey, and analyses by the Ministry of Labour and Social Affairs (MPSV).
**Numbers that look great**
The overall unemployment rate in the Czech Republic reached 2.6% in 2024 — the lowest in the entire EU (Eurostat, une_rt_a, 2024). Unemployment among people with tertiary education (ISCED 5–8) stood at 1.3%, the lowest of all member states alongside Poland (Eurostat, une_educ_a, 2024; confirmed by Eurostat Statistics Explained, "Unemployment statistics and beyond," Figure 3). The EU average for university graduates, by contrast, was 3.8% (Eurostat; Euronews, 2024), while overall EU unemployment was 5.9% (Eurostat, une_rt_a, 2024).
Czechia keeps its unemployment low consistently. In the pre-Covid year of 2019 it fell to a historic low of around 2.0%; during the 2021 pandemic it rose to 3.2–3.3%, but since 2022 it has returned to below 2.6%. Unemployment among university graduates ranged between 1.0% and 2.0% over the 2020–2024 period.
The structure of the unemployed makes for an interesting picture. In 2020, university graduates made up 14% of the total number of unemployed — compared with 5% in 1993 (ČSÚ, Statistika a my, data 1993–2020). This increase does not, however, reflect a worsening of graduates' position in the labour market. It simply reflects the fact that there are more of them in the population — up from 7.8% in 1993 to roughly 19% in 2020. People with only a primary education, by contrast, face a markedly higher unemployment rate: around 11–12% versus 1.3% for university graduates (Eurostat, une_educ_a, 2024).
**Two-thirds in their field, a quarter outside it**
The unemployment rate alone tells only part of the story. The key question is a different one: do graduates work in what they studied?
The most comprehensive answer comes from the Absolvent 2018 survey, conducted by the Education Policy Centre of the Faculty of Education, Charles University, in cooperation with the Centre for Higher Education Studies (CSVŠ) on commission from the Ministry of Education (MŠMT). Of the 37 participating universities (23 public and 14 private), the questionnaire was completed by 21,166 respondents (CSVŠ, Summary Report, 2019).
The results, 2–5 years after graduation: 67% of graduates worked in a position matching both the level and the field of their education. 23% worked outside their field — most often because of difficulty finding work in the field or low pay. One year after graduation, the match was even lower, just 61%. Overqualification — the feeling that a lower level of education would suffice for the given job — was reported by 19% of graduates. Among bachelor's graduates this share reached 36%, among master's graduates only 10%. (CSVŠ, Absolvent 2018 Summary Report, chapter "Vertical and horizontal educational (mis)match," p. 182 ff.)
A newer nationwide survey of comparable scope had not been published as of April 2026. According to a December 2024 document (edu.gov.cz), however, the Ministry of Education is preparing a new system for evaluating graduates.
**The gulf between fields**
The differences in labour-market outcomes are dramatic. Data from the Education Policy Centre of the Faculty of Education, Charles University, for the 2016–2018 period (cited by Seznam Zprávy, 2019) show a consistent pattern.
At one end of the spectrum stand fields with unemployment below 1.5%. Medical and pharmaceutical fields show a rate of just 0.6%, IT and computer science around 1%, law below 1%, and economics likewise below 1% — the Faculty of Informatics and Statistics at the Prague University of Economics and Business (VŠE) reaches just 0.9%. Technical fields (Czech Technical University, Brno University of Technology) range between 1–3%, education around 3%.
At the other end are fields where unemployment runs at multiples of the national average. Arts programmes show 3–16% — the Academy of Fine Arts in Prague as much as 16%. Agricultural fields, 6–9% (in 14 of the 15 years tracked they were among the two worst). Natural sciences, 4–9.6%. Faculties of arts outside Prague, 7% or more — while the Faculty of Arts at Charles University is just 1.5%.
Pay differences mirror this pattern. According to Alma Career (data for 2023–2024), the average starting salary in IT is CZK 48,146, the average for a master's or engineering degree holder is CZK 41,439, but in education and science it is only CZK 32,411. The OECD reports that the tertiary-educated in Czechia earn 162% of the income of upper-secondary graduates with a school-leaving exam (Education and Training Monitor 2025, citing Education at a Glance 2024 and 2025).
The Absolvent 2018 survey also shows where the field match is highest and where it is lowest. In health and social care, roughly 80% of graduates worked in line with both their field and their level of education, in ICT around 70%. The overall average was 67%. At the opposite end stand the arts and humanities, with a match of around 50% and overqualification of about 22%, and agriculture and forestry — likewise around 50% match, but with overqualification of as much as 30%. (CSVŠ, Absolvent 2018 Summary Report. The exact percentage figures come from the full PDF text; they cannot be independently verified from the web snippets.)
**Older graduates: protected, but the data are missing**
Precise cross-tabulated unemployment data by education and age simultaneously do exist in ČSÚ Labour Force Survey table No. 402/1 (for 2024), but they are available only in an Excel file, not in text form on the web. No specialised study on the unemployment of university graduates of pre-retirement age was found.
From the ASO ČR study "Employment of People of Pre-Retirement Age" (2016, author K. Duspivová, TREXIMA), however, we know that among the unemployed aged 55+, people with lower education dominate — 72% have a primary education or a secondary education without a school-leaving exam. Overall, people over 50 make up about 28% of all the unemployed (Labour Office of the Czech Republic, ÚP ČR). The OECD, in Education GPS (EAG 2025), rates the unemployment of older people with secondary and higher education in Czechia as comparably low.
The Czech legal system is responding: the unemployment benefit support period is 11 months for people over 55; from 2026 this threshold shifts to 57 years (Act No. 120/2025 Coll., an amendment to the Employment Act). The Labour Office of the Czech Republic runs regional programmes for the 50+ group and, from 2025, offers subsidies for employing people over 55.
**Retraining: university graduates choose IT**
According to the MPSV analysis "Analysis of Retraining: Where We Are and What Next" (December 2024), a total of about 16,500 job applicants and jobseekers underwent retraining in 2023. Of these, 87% chose their own retraining ("zvolená rekvalifikace," 14,300 people) and 13% took officer-arranged retraining ("zabezpečená rekvalifikace," 2,200 people). Expenditure on chosen and arranged retraining amounted to CZK 382 million, with a further CZK 94 million going to Czech-language courses — CZK 476 million in total (MPSV, p. 4, Chart 1).
University-educated applicants are over-represented among participants in chosen retraining. Men with a university degree most often opt for specialised computer courses (21%), women with a university degree for Czech-language courses (especially foreign women) and IT courses (14%). Data on which university fields people most often retrain from, however, do not exist in the available public sources — the MPSV tracks retraining by level of education, not by the field studied.
**Above average in Europe, but a third outside their field**
The international comparison is favourable for Czechia. Eurostat (EU-LFS, 2024) reports an overqualification rate in Czechia of 12.8% — well below the EU average (21.3%). At the opposite end stand Spain (35.0%) and Greece (33.0%) (Eurostat, lfsa_eoqgan; Eurostat News DDN-20250415-1). The OECD Skills for Jobs Database (2018, data for 2015) shows that 83% of workers in Czechia are qualification-matched to their position, only 9% are overqualified and 8% underqualified.
A complementary view is offered by the OECD Skills for Jobs Country Note for Czechia (2018): more than 50% of graduates of arts and humanities, of agriculture — and, surprisingly, of ICT as well — work in a field other than the one they studied. The lowest field mismatch is shown by engineering, construction and health care.
A less favourable picture is given by the field mismatch measured by the PIAAC 2012 survey — about 36% of Czech workers worked outside their field, close to the OECD average (~40%). The skills mismatch in numeracy was, however, markedly lower (~21% versus ~37% on the OECD average; Rašovec & Vavřinová, 2014).
A specific problem is non-EU foreign nationals: overqualification among people aged 20–34 from third countries exceeds 50% in Czechia, compared with less than 15% for Czech citizens (Eurostat, Migrant integration statistics, 2024).
**A degree protects, but does not show the way**
The Czech Republic is among the countries with the lowest unemployment among university graduates in the world. In international comparison it has one of the lowest overqualification rates in the EU. University education functions as a protective factor even at an older age — among the unemployed 55+, people with lower education dominate.
The structural problem lies elsewhere. Nearly a quarter of graduates work outside their field; in the humanities, the arts and agriculture the match between education and work is only around 50%. The differences between fields are enormous — and the data that would describe them more precisely are missing. The last nationwide Absolvent survey dates from 2018, the MPSV does not record which fields people retrain from, and detailed ČSÚ cross-tabulated data exist only in Excel spreadsheets.
A degree in Czechia reliably protects against unemployment. But for a growing number of fields it works more as an insurance policy against the worst than as a compass pointing to the profession the student was preparing for.
The concept, structure and editorial line of this article are the work of the author, who prepared the content outline, set the key theses and directed the entire creation process. Generative AI (Claude, Anthropic) was used as a tool for research, fact-checking and fleshing out the author's draft.
The author edited the outputs throughout, verified the key findings and approved the final wording. No part of the text was published without human review. All factual data were verified against the publicly available sources cited in the text.
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Read the Czech original on Médium.cz.
AI · Claude — machine translation, may contain inaccuracies.