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Local Administrative Units data of Visegrad countries

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 131231 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. 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
  • 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, 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 2024-01-01
  • CZ: 77 LAU1 regions, data for 2024-01-01
  • PL: 380 LAU1 regions, data for 2023-12-01
  • HU: 197 LAU1 regions, data for 2024-01-01
column/​number of observationsSKCZPLHU
period7977380197
lau7977380197
name7977380197
registered​_unemployed7977380197
registered​_unemployed​_females7977380197
disponible​_unemployed797700
low​_educated7977380197
long​_term79773800
unemployment​_inflow797700
unemployment​_outflow797700
below​_257977380197
over​_557977380197
pop​_period7977380197
TOTAL7977380197
Y15-647977380197
Y15-64-females7977380197
local​_lau7977380197
osm​_id7977380197
abbr79773800
wikidata7977380197
population​_density7977380197
area​_square​_km7977380197
way7977380197

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
  • SK: 79 LAU1 regions, data for 325 periods (1997-01-01 ... 2024-01-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic
  • CZ: 77 LAU1 regions, data for 235 periods (2004-07-01 ... 2024-01-01), source: The Ministry of Labour and Social Affairs of the Czech Republic
  • PL: 380 LAU1 regions, data for 180 periods (2005-03-01 ... 2023-12-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]
  • HU: 197 LAU1 regions, data for 97 periods (2016-01-01 ... 2024-01-01), source: MUNKA
column/​number of observationsSKCZPLHU
period25 67518 09568 35219 109
lau25 67518 09568 35219 109
name25 67518 09568 35219 109
registered​_unemployed25 67518 09568 35219 109
registered​_unemployed​_females25 67518 09559 25619 109
disponible​_unemployed24 72718 09500
low​_educated11 060916237 96819 108
long​_term23 542916237 9680
unemployment​_inflow25 43815 78500
unemployment​_outflow25 43815 78500
below​_2511 218916213 68019 108
over​_5511 218916213 68019 109

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 23 periods (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022), source: Czech Statistical Office, DEMD003/9
  • PL: 382 LAU1 regions, data for 28 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), 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 observationsSKCZPLHU
period6399534331 7434334
lau6399534331 7434334
name6399534331 7434334
gender6399534331 7434334
TOTAL6399534331 3634334
Y00-046399534331 3634334
Y05-096399534331 3634334
Y10-146399534331 3634334
Y15-196399534331 3634334
Y20-246399534331 3634334
Y25-296399534331 3634334
Y30-346399534331 3634334
Y35-396399534331 3634334
Y40-446399534331 3634334
Y45-496399534331 3634334
Y50-546399534331 3634334
Y55-596399534331 3634334
Y60-646399534331 3634334
Y65-696399534331 3634334
Y70-746399534323 5304334
Y75-796399534323 5304334
Y80-846399534323 5304334
Y85-896399534300
Y90-946399534300
Y​_GE956399534300
Y15-646399534331 3634334

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.. . .

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ikona LAU1 dataset

Local Administrative Units data of Visegrad countries

Statistical data on LAU1 regions of Slovakia, Czechia, Poland, Hungary. This LAU1 dataset on 733 regions contains data on population, age structure of inhabitants, on number and structure of unemployed and is regularly updated.. . .