Hungary vs Russian Federation: Temporary employees - Regions — Fixed-term employment contracts

Hungary
4.5 Percentage of employment in the same subgroup
in 2025
Russian Federation
7.3 Percentage of employment in the same subgroup
in 2020
Hungary rank
18th
Russian Federation rank
15th

Temporary employees - Regions — Fixed-term employment contracts over time

  • Hungary
  • Russian Federation
02.557.51012.5200620152025

How they compare

Russian Federation currently reports 7.3 Percentage of employment in the same subgroup against 4.5 Percentage of employment in the same subgroup in Hungary, a difference of 2.8 Percentage of employment in the same subgroup.

That makes Russian Federation's figure about 1.6 times Hungary's.

The two have swapped places 1 time across 11 shared years of data; in 2010 it was Hungary ahead.

Hungary ranks 18th and Russian Federation ranks 15th of 22 countries.

Across the 2 decades both report, Hungary averaged higher in 1 and Russian Federation in 1.

Head to head by decade

Decade Hungary Russian Federation Difference Ahead
2010s 9.36 Percentage of employment in the same subgroup 8.42 Percentage of employment in the same subgroup 0.94 Percentage of employment in the same subgroup Hungary
2020s 5.9 Percentage of employment in the same subgroup 7.3 Percentage of employment in the same subgroup 1.4 Percentage of employment in the same subgroup Russian Federation

Averages of every year both report within each decade.

Frequently asked questions

Which has higher temporary employees - regions — fixed-term employment contracts, Hungary or Russian Federation?
Russian Federation, at 7.3 Percentage of employment in the same subgroup against 4.5 Percentage of employment in the same subgroup in Hungary as of 2020.
What is the difference in temporary employees - regions — fixed-term employment contracts between Hungary and Russian Federation?
2.8 Percentage of employment in the same subgroup, with Russian Federation ahead.
How many years of comparable data are there for Hungary and Russian Federation?
11 years are reported by both, from 2010 to 2020.
How do Hungary and Russian Federation rank globally for temporary employees - regions — fixed-term employment contracts?
Hungary ranks 18th and Russian Federation ranks 15th of 22 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Temporary employees - Regions — Fixed-term employment contracts. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Hungary vs Russian Federation: Temporary employees - Regions — Fixed-term employment contracts. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 26 August 2026, from https://labour.statizoid.com/compare/temporary-employees-regions-fixed-term-employment-contracts/hungary/russian-federation/

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About this data

Indicator
Temporary employees - Regions — Fixed-term employment contracts
Unit
Percentage of employment in the same subgroup
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
23 places, 472 data points, 1995–2025
Last refreshed

This dataset provides the share of closed fixed term employment contracts in large regions (TL2) and, where available, in small regions (TL3). Data definition and source Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid (pdf) and the OECD Territorial Correspondence Table (xlsx). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Regions and Cities Statistical Atlas OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.