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, járás, járási, NUTS4, LAU, Local Administrative Units, ... and there are 733 of them in this dataset. Overall, we cover 733 regions which are described by 133810 observations.

This LAU dataset contains data on population, age structure of inhabitants, on number and 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 population in Visegrad counties (by age and gender),
• data on unemployment share.

Combined latest dataset

• dataset of the latest available data on unemployment 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, unemployment_inflow, unemployment_outflow, below_25, over_55, vacancies, pop_period, TOTAL, Y15-64, Y15-64-females, local_lau, osm_id, abbr, wikidata, population_density, area_square_km, way
• SK: 79 LAU1 regions, data for 2024-04-01
• CZ: 77 LAU1 regions, data for 2024-04-01
• PL: 380 LAU1 regions, data for 2024-04-01
• HU: 197 LAU1 regions, data for 2024-04-01

Unemployment dataset

• time series on unemployment data in Visegrad regions
• by gender, duration of unemployment, education level
• columns: period, lau, name, registered_unemployed, registered_unemployed_females, disponible_unemployed, low_educated, long_term, unemployment_inflow, unemployment_outflow, below_25, over_55, vacancies
• SK: 79 LAU1 regions, data for 328 periods (1997-01-01 ... 2024-04-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic
• CZ: 77 LAU1 regions, data for 238 periods (2004-07-01 ... 2024-04-01), source: The Ministry of Labour and Social Affairs of the Czech Republic
• PL: 380 LAU1 regions, data for 184 periods (2005-03-01 ... 2024-04-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]
• HU: 197 LAU1 regions, data for 100 periods (2016-01-01 ... 2024-04-01), source: MUNKA

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
• SK: 79 LAU1 regions, data for 27 periods (1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022), source: Statistical Office of the Slovak Republic, table [om7009rr]
• CZ: 78 LAU1 regions, data for 24 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), source: Czech Statistical Office, DEMD003/9
• PL: 382 LAU1 regions, data for 29 periods (1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023), source: Statistics Poland, table [P2137]
• HU: 197 LAU1 regions, data for 11 periods (2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023), source: Hungarian Statistical Office: Calculated Population Data by District

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

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. (2024). LAU1 dataset [Data set]. IZ Bratislava. https://doi.org/10.5281/zenodo.6165135