Czechia vs Sweden: Employment by professional status

Czechia
5,253 Persons
in 2025
Sweden
5,329 Persons
in 2025
Czechia rank
18th
Sweden rank
16th

Employment by professional status over time

  • Czechia
  • Sweden
02.0k4.0k6.0k196319942025

How they compare

Sweden currently reports 5,329 Persons against 5,253 Persons in Czechia, a difference of 76 Persons.

The two have swapped places 1 time across 51 shared years of data; in 1975 it was Czechia ahead.

Czechia ranks 18th and Sweden ranks 16th of 33 countries.

Across the 6 decades both report, Czechia averaged higher in 5 and Sweden in 1.

Head to head by decade

Decade Czechia Sweden Difference Ahead
1970s 5,052 Persons 4,109 Persons 943.2 Persons Czechia
1980s 5,185 Persons 4,286 Persons 899.7 Persons Czechia
1990s 4,839 Persons 4,090 Persons 749.32 Persons Czechia
2000s 4,794 Persons 4,380 Persons 413.41 Persons Czechia
2010s 5,056 Persons 4,828 Persons 227.68 Persons Czechia
2020s 5,188 Persons 5,232 Persons 44.39 Persons Sweden

Averages of every year both report within each decade.

Frequently asked questions

Which has higher employment by professional status, Czechia or Sweden?
Sweden, at 5,329 Persons against 5,253 Persons in Czechia as of 2025.
What is the difference in employment by professional status between Czechia and Sweden?
76 Persons, with Sweden ahead.
How many years of comparable data are there for Czechia and Sweden?
51 years are reported by both, from 1975 to 2025.
How do Czechia and Sweden rank globally for employment by professional status?
Czechia ranks 18th and Sweden ranks 16th of 33 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Employment by professional status (ICSE-93). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Czechia vs Sweden: Employment by professional status. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 August 2026, from https://labour.statizoid.com/compare/employment-by-professional-status-icse-93/czechia/sweden/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://labour.statizoid.com/compare/employment-by-professional-status-icse-93/czechia/sweden/">Czechia vs Sweden: Employment by professional status</a> — Statizoid

About this data

Indicator
Employment by professional status (ICSE-93)
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
43 places, 2,053 data points, 1955–2025
Last refreshed

The dataflow "Employment by profesional status (ICSE-93)" is a subset of the “Employment by activites and status (ALFS)” dataset which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total). This dataflow contains employment statistics for all economic activities broken down by professional status as defined by the ICSE-1993 including employees, employers and own-account workers, and unpaid family workers. Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries’ data. The professional status is defined in the International Classification by status in Employment (ICSE-1993). To be considered as an unpaid family worker, the hour-threshold varies from one hour to 18 hours a week. Data are presented in thousands of persons, or as indices with base year 2015=100. Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.