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Dataset . 2024
License: CC BY
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LAU1 dataset

Authors: Páleník, Michal;
Abstract

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 V4 dataset. Overall, we cover 733 regions which are described by 137.828 observations (panel data rows) and more than 1.760.229 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. Downloadable at zenodo.org. 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. 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, 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 Slovakia – SK: 79 LAU1 regions, data for 2024-10-01, 1.659 data, Czech Republic – CZ: 77 LAU1 regions, data for 2024-10-01, 1.617 data, Poland – PL: 380 LAU1 regions, data for 2024-09-01, 6.840 data, Hungary – HU: 197 LAU1 regions, data for 2024-10-01, 2.955 data, 13.071 data in total. column/number of observations description SK CZ PL HU period period (month and year) the data is for 79 77 380 197 lau LAU code of the region 79 77 380 197 name name of the region in local language 79 77 380 197 registered_unemployed number of unemployed registered at labour offices 79 77 380 197 registered_unemployed_females number of unemployed women 79 77 380 197 disponible_unemployed unemployed able to accept job offer 79 77 0 0 low_educated unmployed without secondary school (ISCED 0 and 1) 79 77 380 197 long_term unemployed for longer than 1 year 79 77 380 0 unemployment_inflow inflow into unemployment 79 77 0 0 unemployment_outflow outflow from unemployment 79 77 0 0 below_25 number of unemployed below 25 years of age 79 77 380 197 over_55 unemployed older than 55 years 79 77 380 197 vacancies number of vacancies reported by labour offices 79 77 380 0 pop_period date of population data 79 77 380 197 TOTAL total population 79 77 380 197 Y15-64 number of people between 15 and 64 years of age, population in economically active age 79 77 380 197 Y15-64-females number of women between 15 and 64 years of age 79 77 380 197 local_lau region's code used by local labour offices 79 77 380 197 osm_id relation id in OpenStreetMap database 79 77 380 197 abbr abbreviation used for this region 79 77 380 0 wikidata wikidata identification code 79 77 380 197 population_density population density 79 77 380 197 area_square_km area of the region in square kilometres 79 77 380 197 way geometry, polygon of given region 79 77 380 197 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, unemployment_inflow, unemployment_outflow, below_25, over_55, vacancies Slovakia – SK: 79 LAU1 regions, data for 334 periods (1997-01-01 ... 2024-10-01), 202.082 data, Czech Republic – CZ: 77 LAU1 regions, data for 244 periods (2004-07-01 ... 2024-10-01), 147.528 data, Poland – PL: 380 LAU1 regions, data for 189 periods (2005-03-01 ... 2024-09-01), 314.100 data, Hungary – HU: 197 LAU1 regions, data for 106 periods (2016-01-01 ... 2024-10-01), 104.408 data, 768.118 data in total. column/number of observations description SK CZ PL HU period period (month and year) the data is for 26 386 18 788 71 772 20 882 lau LAU code of the region 26 386 18 788 71 772 20 882 name name of the region in local language 26 386 18 788 71 772 20 882 registered_unemployed number of unemployed registered at labour offices 26 386 18 788 71 772 20 882 registered_unemployed_females number of unemployed women 26 386 18 788 62 676 20 882 disponible_unemployed unemployed able to accept job offer 25 438 18 788 0 0 low_educated unmployed without secondary school (ISCED 0 and 1) 11 771 9855 41 388 20 881 long_term unemployed for longer than 1 year 24 253 9855 41 388 0 unemployment_inflow inflow into unemployment 26 149 16 478 0 0 unemployment_outflow outflow from unemployment 26 149 16 478 0 0 below_25 number of unemployed below 25 years of age 11 929 9855 17 100 20 881 over_55 unemployed older than 55 years 11 929 9855 17 100 20 882 vacancies number of vacancies reported by labour offices 11 692 18 788 62 676 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 Slovakia – SK: 79 LAU1 regions, data for 28 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, 2023), 152.628 data, Czech Republic – 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), 125.862 data, Poland – 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), 626.941 data, Hungary – HU: 197 LAU1 regions, data for 11 periods (2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023), 86.680 data, 992.111 data in total. column/number of observations description SK CZ PL HU period period (month and year) the data is for 6636 5574 32 883 4334 lau LAU code of the region 6636 5574 32 883 4334 name name of the region in local language 6636 5574 32 883 4334 gender gender (male or female) 6636 5574 32 883 4334 TOTAL total population 6636 5574 32 503 4334 Y00-04 inhabitants between 00 to 04 years inclusive 6636 5574 32 503 4334 Y05-09 number of inhabitants between 05 to 09 years of age 6636 5574 32 503 4334 Y10-14 number of people between 10 to 14 years inclusive 6636 5574 32 503 4334 Y15-19 number of inhabitants between 15 to 19 years of age 6636 5574 32 503 4334 Y20-24 number of people between 20 to 24 years inclusive 6636 5574 32 503 4334 Y25-29 number of inhabitants between 25 to 29 years of age 6636 5574 32 503 4334 Y30-34 inhabitants between 30 to 34 years inclusive 6636 5574 32 503 4334 Y35-39 number of inhabitants between 35 to 39 years of age 6636 5574 32 503 4334 Y40-44 inhabitants between 40 to 44 years inclusive 6636 5574 32 503 4334 Y45-49 number of inhabitants younger than 49 and older than 45 years 6636 5574 32 503 4334 Y50-54 inhabitants between 50 to 54 years inclusive 6636 5574 32 503 4334 Y55-59 number of inhabitants between 55 to 59 years of age 6636 5574 32 503 4334 Y60-64 inhabitants between 60 to 64 years inclusive 6636 5574 32 503 4334 Y65-69 number of inhabitants younger than 69 and older than 65 years 6636 5574 32 503 4334 Y70-74 inhabitants between 70 to 74 years inclusive 6636 5574 24 670 4334 Y75-79 number of inhabitants between 75 to 79 years of age 6636 5574 24 670 4334 Y80-84 number of people between 80 to 84 years inclusive 6636 5574 24 670 4334 Y85-89 number of inhabitants younger than 89 and older than 85 years 6636 5574 0 0 Y90-94 inhabitants between 90 to 94 years inclusive 6636 5574 0 0 Y_GE95 number of people 95 years or older 6636 3234 0 0 Y15-64 number of people between 15 and 64 years of age, population in economically active age 6636 5574 32 503 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

Related Organizations
Keywords

unemployment, Local administrative units, population, Visegrad, LAU1

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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