LAU1 dataset

Statistical open data on LAU1 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, ... This LAU dataset contains data on population, age structure of inhabitants, on number and structure of unemployed. Dataset prepared by Michal Páleník. Output files are in json, shp, xls, ods and CSV formats. Downloadable at zenodo.org. This dataset consists of: data on unemployment (by age or duration), data on population (by age and gender), data on unemployment share. <strong>Combined latest dataset</strong> dataset of the latest available data on unemployment and population no time series, only most recent data on population and unemployment combined in one output file dataset include map contours (shp or geojson format), relation id in OpenStreetMap, wikidata entries, abbreviation of the region, source of map contours is OpenStreetMap, licensed under ODbL columns: period, lau, name, registered_unemployed, registered_unemployed_females, disponible_unemployed, pop_in_active_age, low_educated, long_term, unemployment_inflow, unemployment_outflow, pop_period, TOTAL, Y15_64, Y15_64_females, local_lau, osm_id, abbr, wikidata, way SK: 79 LAU1 regions, data for 2022-07-01 CZ: 77 LAU1 regions, data for 2022-07-01 PL: 380 LAU1 regions, data for 2022-07-01 HU: 197 LAU1 regions, data for 2022-07-01 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 pop_in_active_age 0 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 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 77 379 197 way 79 77 380 197 <strong>Unemployment dataset</strong> time series on unemployment data columns: period, lau, name, registered_unemployed, registered_unemployed_females, disponible_unemployed, pop_in_active_age, low_educated, long_term, unemployment_inflow, unemployment_outflow SK: 79 LAU1 regions, data for 307 periods (1997-01-01 ... 2022-07-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic CZ: 77 LAU1 regions, data for 187 periods (2007-01-01 ... 2022-07-01), source: The Ministry of Labour and Social Affairs of the Czech Republic PL: 380 LAU1 regions, data for 139 periods (2011-01-01 ... 2022-07-01), source: Statistics Poland, tables [P2962], [P3898], [P3896] HU: 197 LAU1 regions, data for 79 periods (2016-01-01 ... 2022-07-01), source: MUNKA column/number of observations SK CZ PL HU period 24 253 14 399 52 796 15 563 lau 24 253 14 399 52 796 15 563 name 24 253 14 399 52 796 15 563 registered_unemployed 24 253 14 399 52 796 15 563 registered_unemployed_females 9638 14 399 7220 15 563 disponible_unemployed 23 305 14 399 0 0 pop_in_active_age 0 14 399 0 0 low_educated 9559 7777 7220 15 562 long_term 22 120 7777 7220 0 unemployment_inflow 24 016 14 399 0 0 unemployment_outflow 24 016 14 399 0 0 <strong>Population dataset</strong> time series on population by gender and 5 years age groups 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 26 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), source: Statistical Office of the Slovak Republic, table [om7009rr] CZ: 77 LAU1 regions, data for 12 periods (2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021), source: Czech Statistical Office PL: 382 LAU1 regions, data for 27 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), source: Statistics Poland, table [P2137] HU: 197 LAU1 regions, data for 7 periods (2015, 2016, 2017, 2018, 2019, 2020, 2021), source: Hungarian statistical office: Calculated population data by district column/number of observations SK CZ PL HU period 6162 2772 30 603 2758 lau 6162 2772 30 603 2758 name 6162 2772 30 603 2758 gender 6162 2772 30 603 2758 TOTAL 6162 2772 30 603 2758 Y00-04 6162 2772 30 603 2758 Y05-09 6162 2772 30 603 2758 Y10-14 6162 2772 30 603 2758 Y15-19 6162 2772 30 603 2758 Y20-24 6162 2772 30 603 2758 Y25-29 6162 2772 30 603 2758 Y30-34 6162 2772 30 603 2758 Y35-39 6162 2772 30 603 2758 Y40-44 6162 2772 30 603 2758 Y45-49 6162 2772 30 603 2758 Y50-54 6162 2772 30 603 2758 Y55-59 6162 2772 30 603 2758 Y60-64 6162 2772 30 603 2758 Y65-69 6162 2772 30 603 2758 Y70-74 6162 2772 22 770 2758 Y75-79 6162 2772 22 770 2758 Y80-84 6162 2772 22 770 2758 Y85-89 6162 2772 0 0 Y90-94 6162 2772 0 0 Y_GE95 4108 2772 0 0 Y15_64 6162 2772 30 603 2758 <strong>Notes</strong> 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 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) wikidata is code used by wikidata osm_id is region's relation number in the OpenStreetMap database <strong>Example outputs</strong> you can download data in CSV, xml, ods, xlsx, shp 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 Slovenská republika - SK, Česká republika - CZ, Maďarsko - HU, Poľsko - PL, NUTS3 regions of Slovakia download at <strong>📥 doi:10.5281/zenodo.6165135</strong>