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Local Administrative Units data

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, ...

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. Downloadable at zenodo.org.

📥DOI📥

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

unemployment share in V4 akt/unemployment-share-v4

  • 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, 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
  • columns: period, lau, name, registered​_unemployed, registered​_unemployed​_females, disponible​_unemployed, low​_educated, long​_term, unemployment​_inflow, unemployment​_outflow, 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 2022-10-01
  • CZ: 77 LAU1 regions, data for 2022-10-01
  • PL: 380 LAU1 regions, data for 2022-10-01
  • HU: 197 LAU1 regions, data for 2022-10-01
column/​number of observationsSKCZPLHU
period7977380197
lau7977380197
name7977380197
registered​_unemployed7977380197
registered​_unemployed​_females7977380197
disponible​_unemployed797700
low​_educated7977380197
long​_term79773800
unemployment​_inflow797700
unemployment​_outflow797700
pop​_period7977380197
TOTAL7977380197
Y15​_647977380197
Y15​_64​_females7977380197
local​_lau7977380197
osm​_id7977380197
abbr79773800
wikidata7977380197
population​_density7977380197
area​_square​_km7977380197
way7977380197

Unemployment dataset

column/​number of observationsSKCZPLHU
period24 49016 94063 03216 154
lau24 49016 94063 03216 154
name24 49016 94063 03216 154
registered​_unemployed24 49016 94063 03216 154
registered​_unemployed​_females24 49016 94053 93616 154
disponible​_unemployed23 54216 94000
low​_educated9875800832 64816 153
long​_term22 357800832 6480
unemployment​_inflow24 25314 63000
unemployment​_outflow24 25314 63000

Population dataset

  • time series on population by gender and 5 years 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 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: 78 LAU1 regions, data for 22 periods (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021), source: Czech Statistical Office, DEMD003/9
  • 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 observationsSKCZPLHU
period6162511230 6032758
lau6162511230 6032758
name6162511230 6032758
gender6162511230 6032758
TOTAL6162511230 6032758
Y00-046162511230 6032758
Y05-096162511230 6032758
Y10-146162511230 6032758
Y15-196162511230 6032758
Y20-246162511230 6032758
Y25-296162511230 6032758
Y30-346162511230 6032758
Y35-396162511230 6032758
Y40-446162511230 6032758
Y45-496162511230 6032758
Y50-546162511230 6032758
Y55-596162511230 6032758
Y60-646162511230 6032758
Y65-696162511230 6032758
Y70-746162511222 7702758
Y75-796162511222 7702758
Y80-846162511222 7702758
Y85-896162511200
Y90-946162511200
Y​_GE954108511200
Y15​_646162511230 6032758

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


https://www.iz.sk/LAU1
ikona Michal Páleník

Michal Páleník

Michal Páleník as IZ Bratislava.. . .

ikona Data library

Data library

IZ shows basic data and statistics on labour market in Slovakia.. . .

ikona Regularly updated

Regularly updated

On our webpage, we have several data which are regularly updated. These include data on unemployment or legislation.. . .

ikona LAU1 dataset

Local Administrative Units data

Statistical data on LAU1 regions of Slovakia, Czechia, Poland, Hungary. This LAU1 dataset contains data on population, age structure of inhabitants, on number and structure of unemployed and is regularly updated.. . .

Current statistics

October 2022: number of unemployed at the labour offices: 178265, of which 76104 are long term unemployed, unemployment rate 6.6 % (2.8 % long term unemployment)

Highest unemployment: Rimavská Sobota 20.5 % (13.2 %), Revúca 19.6 % (12.7 %), Kežmarok 18.0 % (9.2 %)

Lowest unemployment:: Bratislava V 2.6 %, Ilava 2.8 %, Trenčín 2.8 %, Bratislava I 2.9 %, Nitra 3.0 %