LAU1 dataset

Statistical open data on LAU regions of Slovakia, Czech Republic, Poland, Hungary (and other countries in the future). LAU1 regions are called counties, okres, okresy, powiat, NUTS4, LAU, Local Administrative Units, ... and there are 556 of them in this V4 dataset. Overall, we cover 554 regions which are described by 126.968 observations (panel data rows) and more than 1.969.040 data points.

This LAU dataset contains panel data on population, on age structure of inhabitants, on number and on structure of registered unemployed. Dataset prepared by Michal Páleník. Output files are in json, shapefiles, xls, ods, json, topojson or CSV formats.

This dataset consists of:

• data on unemployment (by gender, education and duration of unemployment),
• data on vacancies,
• open data on population in Visegrad counties (by age and gender),
• data on unemployment share.

In summer 2025 we changed data for Hungary to use megye instead of járás. Megye data now contain longer and more detailed dataset (but there are only 20 regions instead of 197). Járás are now available in the LAU2 dataset.

Due to changes in the Czech data, we had to merge two counties in Plzeň and Prague, so there are now only 75 counties instead of 77. Therefore the abbreviation is not standardized and there is no wikidata or OSM entry.Last data for 77 regions from December 2024 are available at zenodo.

Combined latest dataset

• dataset of the latest available data on unemployment, vacancies and population
• dataset includes map contours (shp, topojson or geojson format), relation id in OpenStreetMap, wikidata entry code,
• it also includes NUTS4 code, LAU1 code used by national statistical office and abbreviation of the region (usually license plate),
• source of map contours is OpenStreetMap, licensed under ODbL
• no time series, only most recent data on population and unemployment combined in one output file
• columns: period, lau, name, registered_unemployed, registered_unemployed_females, disponible_unemployed, low_educated, long_term, very_short_term, unemployment_inflow, unemployment_outflow, below_25, over_55, vacancies, pop_period, TOTAL, Y15-64, Y15-64-females, Y15-24, local_lau, osm_id, abbr, wikidata, population_density, area_square_km, way
• Slovakia – SK: 79 LAU1 regions, data for 2025-07-01, 1.817 data,
• Czech Republic – CZ: 75 LAU1 regions, data for 2025-07-01, 1.646 data,
• Poland – PL: 380 LAU1 regions, data for 2025-07-01, 8.360 data,
• Hungary – HU: 20 LAU1 regions, data for 2025-07-01, 400 data,
• 12.223 data in total.

Unemployment dataset

• time series of unemployment data in Visegrad regions
• by gender, duration of unemployment, education level, age groups, vacancies,
• columns: period, lau, name, registered_unemployed, registered_unemployed_females, disponible_unemployed, low_educated, long_term, very_short_term, unemployment_inflow, unemployment_outflow, below_25, over_55, vacancies
• Slovakia – SK: 79 LAU1 regions, data for 343 periods (1997-01-01 ... 2025-07-01), 223.965 data,
• Czech Republic – CZ: 75 LAU1 regions, data for 253 periods (2004-07-01 ... 2025-07-01), 160.195 data,
• Poland – PL: 380 LAU1 regions, data for 199 periods (2005-03-01 ... 2025-07-01), 518.840 data,
• Hungary – HU: 20 LAU1 regions, data for 307 periods (2000-01-01 ... 2025-07-01), 37.592 data,
• 940.592 data in total.

Population dataset

• time series on population by gender and 5 year age groups in V4 counties
• columns: period, lau, name, gender, TOTAL, Y00-04, Y05-09, Y10-14, Y15-19, Y20-24, Y25-29, Y30-34, Y35-39, Y40-44, Y45-49, Y50-54, Y55-59, Y60-64, Y65-69, Y70-74, Y75-79, Y80-84, Y85-89, Y90-94, Y_GE95, Y15-64, Y15-24
• Slovakia – SK: 79 LAU1 regions, data for 29 periods (1996 ... 2024), 164.952 data,
• Czech Republic – CZ: 76 LAU1 regions, data for 25 periods (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024), 133.440 data,
• Poland – PL: 382 LAU1 regions, data for 30 periods (1995 ... 2024), 690.984 data,
• Hungary – HU: 20 LAU1 regions, data for 35 periods (1990 ... 2024), 39.072 data,
• 1.028.448 data in total.

Notes

• more examples at www.iz.sk
• NUTS4 / LAU1 / LAU codes for HU and PL are created by me, so they can (and will) change in the future; CZ and SK NUTS4 codes are used by local statistical offices, so they should be more stable
• NUTS4 codes are consistent with NUTS3 codes used by Eurostat
• local_lau variable is an identifier used by local statistical office
• abbr is abbreviation of region's name, used for map purposes (usually cars' license plate code; except for Hungary)
• wikidata is code used by wikidata
• osm_id is region's relation number in the OpenStreetMap database
• Changes in the LAU1 dataset

Example outputs

• you can download data in CSV, xml, ods, xlsx, shp, SQL, postgis, topojson, geojson or json format at 📥 doi:10.5281/zenodo.6165135
• Counties of Slovakia – unemployment rate in Slovak LAU1 regions
• Regions of the Slovak Republic
• Unemployment of Czechia and Slovakia – unemployment share in LAU1 regions of Slovakia and Czechia
• interactive map on unemployment in Slovakia
• Slovakia – SK, Czech Republic – CZ, Hungary – HU, Poland – PL, NUTS3 regions of Slovakia
• download at 📥 doi:10.5281/zenodo.6165135
• suggested citation: Páleník, M. (2025). LAU1 dataset [Data set]. IZ Bratislava. https://doi.org/10.5281/zenodo.6165135