- 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
- Long term unemployment
- Percentage of employees ususally working at nights
- Employment rate
- NEET
- Unemployment rate
-
- 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
- Library
-
- Education of unemployed
- Young unemployed not taking part in education
- Proposal to change the system of education funding
- News»
- Contact
Warmian-Masurian Voivodeship – PL62
EU regions: Poland > Makroregion północny > Warmian-Masurian Voivodeship
Indicator | Period | Value |
---|---|---|
Life long learning | ||
life long learning participation | 2023 | 7 |
Part time jobs and flexible employment | ||
percentage of part time workers | 2023 | 4.04 |
percentage of part time workers, men | 2023 | 3.47 |
percentage of part time workers, women | 2023 | 4.77 |
Gender differences | ||
gender gap in employment rate | 2023 | 84.27 |
gender gap in unemployment rate | 2019 | 172 |
Graduates and young people | ||
unemployment rate of youth with elementary education | 2005 | 59.9 |
NEET | 2022 | 10.8 |
Gross domestic product | ||
GDP per capita in PPS of EU average | 2022 | 55 |
Employment | ||
employment rate | 2023 | 68.6 |
Social exclusion | ||
people at risk of poverty or social exclusion | 2020 | 24.4 |
More on wikipedia wikidata Q54184 on OpenStreetMap Warmian-Masurian Voivodeship slovensky: PL62
Subregions: Elbląski, Olsztyński, Ełcki
Unemployment
Indicator | Period | Value |
---|---|---|
Unemployment | ||
unemployment rate | 2023 | 2.6 |
youth unemployment rate | 2018 | 17.5 |
Long term unemployment | ||
long term unemployment | 2019 | 1 |
share of long term unemployed | 2019 | 30.9 |
Unemployment according to labour offices | ||
number of registered unemployed | September 2024 | 36 281 |
number of unemployed women | September 2024 | 19 289 |
number of long-term unemployed | September 2024 | 13 056 |
number of vacancies | September 2024 | 2385 |
Comparison of unemployment according to ILO methodology and registered unemployment yields some differences.
Data on unemployment in counties of Warmian-Masurian Voivodeship are available at Local Administrative Units data of Visegrad countries.
Demographics
Indicator | Period | Value |
---|---|---|
Demographics | ||
number of inhabitants | 2023 | 1 303 380 |
population density | 2022 | 58.5 |
old-age dependency ratio | 2023 | 30 |
Employment by sectors, Warmian-Masurian Voivodeship
NACE r2 | % | NACE r2 | % | ||
---|---|---|---|---|---|
A | 48.8 | 8 % | B-E | 132.9 | 23 % |
F | 44.4 | 8 % | G-I | 121.3 | 21 % |
J | 10.3 | 2 % | K | 14.4 | 2 % |
M_N | 27.1 | 5 % | O-Q | 153.2 | 26 % |
R-U | 18.9 | 3 % | TOTAL | 582.1 | 100 % |
Data for the period year 2023. Source of the data is Eurostat, table [lfst_r_lfe2en2].
Other: Makroregion północny, Pomeranian Voivodeship, Kuyavian-Pomeranian Voivodeship, Warmian-Masurian Voivodeship
Neighbours: NUTS code, Pomeranian Voivodeship, Podlaskie Voivodeship, Kuyavian-Pomeranian Voivodeship, Central and Western Lithuania region
Subregions: Elbląski, Olsztyński, Ełcki
Suggested citation: Michal Páleník: Europe and its regions in numbers - Warmian-Masurian Voivodeship – PL62, IZ Bratislava, retrieved from: https://www.iz.sk/PPL62, 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.. . .