Occupied posts and job vacancies

Data on occupied and vacant posts provide information on the level and structure of labour demand.

They are also used to recalculate the average number of employees into full-time equivalents, thus ensuring that figures for employees working different workloads are comparable.

Since 2021 the data are calculated according to the results of the administrative-territorial reform held in 2021.

State and local government institution, state and local government merchant, private commercial company, individual merchant, foundation, association and fund employing 1 and more persons.

Target population covers all statistical units (state and local government budgetary institutions, state and local government merchants, private commercial companies, individual merchants, foundations, associations and funds employing 1 and more persons) active.

Target population of the survey does not include:

• religious organisations;
• rural handicraft enterprises;
• peasant and fishermen farms
• family businesses;
• individuals performing economic activity.

Target population does not include also statistical units having NACE Rev. 2 classification economic activity code starting with 97 or 98.

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Statistics database

EU data on Eurostat website

Section - Job vacancies

Data are available:

• on occupied posts for the period since 2005;
• on job vacancies for the period since 2008, but broken down by sector, main occupational groups and region since 2016.

Starting with the 1st quarter of 2021 State Revenue Service data is used for the calculation of the number of occupied posts; it has caused a break in the time-series.

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Information is acquired by compiling questionnaires developed by the CSB – quarterly statistical reports on activities of merchants, state and local government budgetary institutions, foundations, associations and funds (2-Labour, 2-Labour-municipalities, 2-Labour (short)), and administrative data.

Statistical report form 2-Labour (short) is submitted by individual merchants, foundations, associations and funds employing 10–99 persons. Form 2-Labour-municipalities submitted by local governments and municipal institutions. All other statistical units included in the sample submit statistical report form 2-Labour.

Administrative data are acquired from reports on employees submitted by employers to the State Revenue Service from the Report on state social security compulsory payments from employee income, Income Tax and Business Risk State Duty during the reference month, from the Report regarding the employment income, personal income tax and state mandatory social insurance contributions of the payers of the income tax for seasonal farm workers and from Micro-enterprise Tax Declaration.

In 2025, about 5.3 thousand respondents are surveyed quarterly.

Central and local government bodies, commercial companies with central or local government capital participation of 50% or more, and all private sector businesses with 100 or more employees are surveyed fully. Other statistical units are surveyed using a simple random sampling method, with strata pre-defined by economic activity and enterprise size (based on the number of employees). In addition, all general government sector units – that is, every unit with an institutional sector classification code starting with S13 – are included in the sample, regardless of any other criteria.

The sampling frame was built using information from the CSB Statistical Business Register on economically active units. At the time the sample was drawn, the frame included all statistical units meeting the target population criteria ­– a total of 100 594 units.

*SVTK – CSB typological classification of statistical units.

Information on job vacancies and occupied posts is obtained from the statistical reports and starting with the 1st quarter of 2021 State Revenue Service data are also used in the calculation of occupied posts.

Data on the year are acquired as mean indicator, which is calculated from occupied posts and job vacancies shown at the end of each quarter of the reference year.

The information obtained from the respondents is summarized with the help of weights set for the each sample unit. Report indicators multiplied with the weights firstly are summed at class (4-digit), group (3-digit), division (2-digit) and section (letter) level in compliance with NACE Rev. 2.

To calculate job vacancy rate, job vacancies are divided by total number of jobs (sum of occupied posts and job vacancies).

The statistics for the general government sector is produced based on the Cabinet Regulations No 1456 on classification of institutional sectors where state institutions also include state social insurance institutions (code S13 04 00). The list of general government institutions and bodies is available in the annex to the regulations and Classification of Institutional Sectors.

As of the first quarter of 2025, data compilation is based fully on the enterprise definition.

The enterprise is the smallest combination of legal units that is an organisational unit producing goods or services, which benefits from a certain degree of autonomy in decision-making, especially for the allocation of its current resources. An enterprise carries out one or more activities at one or more locations. An enterprise may be a sole legal unit.

Average number of employees in full-time units is calculated separately for full-time and part-time employees, for whom wages and salaries were calculated, and result is summed. Out of the full-time employees only those who were not in labour relations for full month are recalculated in full-time units, and it is done by using information on hours paid of such employees indicated in the reports. Part-time employees in full-time units are recalculated as follows: number of hours paid of part-time employees is divided by number of hours paid of full-time employees, and the result is multiplied with the number of full-time employees.

With an aim to estimate imputations of non-responding and directly not surveyed statistical units and credibility of data acquired by using weights, summaries of job vacancy data are analysed each quarter. Summary indicators are compared with previous periods and administrative data sources.