- About us»
- Net income calculator»
- Population aging»
-
- Least developed regions»
-
- Average wage
- Material need benefits
- Meal allowance
- Counties of Slovakia
- Inflation
- Living and Subsistence Minimum
- Unemployment of Czechia and Slovakia
- NACE Classification
-
- Life expectancy
- Gender differences
- Youth unemployment and NEET
- Minimum wage in EU
- Unemployment rates of different age groups
- Share of salaries on GDP
- Employment rate
- NEET
- Long term unemployment
- Unemployment rate
- Percentage of employees ususally working at nights
-
- Bratislava and surroundings
- Kopanice
- Danube river
- lower Vah river
- middle Vár river
- upper Nitra river
- lower Nitra river
- Mining cities
- Kysuce a Orava
- upper Vah river - Liptov
- Spiš cities
- upper Hron river
- Juhoslovenská kotlina
- Košice fold and Torysa river
- upper Zemplín
- lower Zemplín
- EU regions
- NUTS3 regions of Slovakia
- LAU1 dataset
-
- Projects and activities
- Inclusive growth»
- Good work
- Project SKRS
- Social system – reality and vision
-
- Education of unemployed
- Young unemployed not taking part in education
- Proposal to change the system of education funding
- Library
- News»
- Contact
Southern Transdanubia – HU23
EU regions: Hungary > Transdanubia > Southern Transdanubia
Indicator | Period | Value |
---|---|---|
Life long learning | ||
life long learning participation | 2023 | 11.6 |
Part time jobs and flexible employment | ||
percentage of part time workers | 2023 | 5.34 |
percentage of part time workers, men | 2023 | 3.17 |
percentage of part time workers, women | 2023 | 7.78 |
Gender differences | ||
gender gap in employment rate | 2023 | 88.41 |
gender gap in unemployment rate | 2023 | 86.36 |
Graduates and young people | ||
unemployment rate of youth with elementary education | 2019 | 34.9 |
NEET | 2023 | 13.4 |
Gross domestic product | ||
GDP per capita in PPS of EU average | 2022 | 52 |
Employment | ||
employment rate | 2023 | 69.9 |
Social exclusion | ||
people at risk of poverty or social exclusion | 2020 | 24.7 |
job vacancies rate | 2024q2 | 1.6 |
More on wikipedia wikidata Q781747 on OpenStreetMap Southern Transdanubia slovensky: HU23
Subregions: Baranya County, Somogy County, Tolna County
Unemployment
Indicator | Period | Value |
---|---|---|
Unemployment | ||
unemployment rate | 2023 | 6.2 |
youth unemployment rate | 2023 | 18.3 |
Long term unemployment | ||
long term unemployment | 2023 | 2.2 |
share of long term unemployed | 2023 | 35.3 |
Unemployment according to labour offices | ||
number of registered unemployed | September 2024 | 26 553 |
number of unemployed women | September 2024 | 13 585 |
Comparisson of unemployment according to ILO methodology and registered unemployment yeilds some differences.
Data on unemployment in counties of Southern Transdanubia are available at Local Administrative Units data of Visegrad countries.
Demographics
Indicator | Period | Value |
---|---|---|
Demographics | ||
number of inhabitants | 2023 | 858 675 |
population density | 2022 | 62.6 |
old-age dependency ratio | 2023 | 35.7 |
Employment by sectors, Southern Transdanubia
NACE r2 | % | NACE r2 | % | ||
---|---|---|---|---|---|
A | 27.2 | 7 % | B-E | 86.2 | 23 % |
F | 33.3 | 9 % | G-I | 80.4 | 21 % |
J | 5.5 | 1 % | K | 3.2 | 1 % |
M_N | 20.6 | 5 % | O-Q | 108.7 | 29 % |
R-U | 14.1 | 4 % | TOTAL | 381.2 | 100 % |
Data for the period year 2023. Source of the data is Eurostat, table [lfst_r_lfe2en2].
Other: Transdanubia, Southern Transdanubia, Central Transdanubia, Western Transdanubia
Neighbours: Western Transdanubia, Central Transdanubia, Kontinentalna Hrvatska, Southern Great Plain
Subregions: Baranya County, Somogy County, Tolna County
Suggested citation: Michal Páleník: Europe and its regions in numbers - Southern Transdanubia – HU23, IZ Bratislava, retrieved from: https://www.iz.sk/PHU23, ISBN: 978-80-970204-9-1, DOI:10.5281/zenodo.10200164
Local Administrative Units data of Visegrad countries
Statistical data on LAU1 regions of Slovakia, Czechia, Poland, Hungary. This LAU1 panel data dataset on 733 regions contains data on population, age structure of inhabitants, on number and structure of unemployed and is regularly updated.. . .