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 column/number of observations SK CZ PL HU period 79 77 380 197 lau 79 77 380 197 name 79 77 380 197 registered_unemployed 79 77 380 197 registered_unemployed_females 79 77 380 197 disponible_unemployed 79 77 0 0 low_educated 79 77 380 197 long_term 79 77 380 0 unemployment_inflow 79 77 0 0 unemployment_outflow 79 77 0 0 below_25 79 77 380 197 over_55 79 77 380 197 vacancies 79 77 380 0 pop_period 79 77 380 197 TOTAL 79 77 380 197 Y15-64 79 77 380 197 Y15-64-females 79 77 380 197 local_lau 79 77 380 197 osm_id 79 77 380 197 abbr 79 77 380 0 wikidata 79 77 380 197 population_density 79 77 380 197 area_square_km 79 77 380 197 way 79 77 380 197 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 column/number of observations SK CZ PL HU period 25 912 18 326 69 872 19 700 lau 25 912 18 326 69 872 19 700 name 25 912 18 326 69 872 19 700 registered_unemployed 25 912 18 326 69 872 19 700 registered_unemployed_females 25 912 18 326 60 776 19 700 disponible_unemployed 24 964 18 326 0 0 low_educated 11 297 9393 39 488 19 699 long_term 23 779 9393 39 488 0 unemployment_inflow 25 675 16 016 0 0 unemployment_outflow 25 675 16 016 0 0 below_25 11 455 9393 15 200 19 699 over_55 11 455 9393 15 200 19 700 vacancies 11 218 18 326 60 776 0 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 column/number of observations SK CZ PL HU period 6399 5574 32 883 4334 lau 6399 5574 32 883 4334 name 6399 5574 32 883 4334 gender 6399 5574 32 883 4334 TOTAL 6399 5574 32 883 4334 Y00-04 6399 5574 32 883 4334 Y05-09 6399 5574 32 883 4334 Y10-14 6399 5574 32 883 4334 Y15-19 6399 5574 32 883 4334 Y20-24 6399 5574 32 883 4334 Y25-29 6399 5574 32 883 4334 Y30-34 6399 5574 32 883 4334 Y35-39 6399 5574 32 883 4334 Y40-44 6399 5574 32 883 4334 Y45-49 6399 5574 32 883 4334 Y50-54 6399 5574 32 883 4334 Y55-59 6399 5574 32 883 4334 Y60-64 6399 5574 32 883 4334 Y65-69 6399 5574 32 883 4334 Y70-74 6399 5574 25 050 4334 Y75-79 6399 5574 25 050 4334 Y80-84 6399 5574 25 050 4334 Y85-89 6399 5574 0 0 Y90-94 6399 5574 0 0 Y_GE95 6399 3234 0 0 Y15-64 6399 5574 32 883 4334 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