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Local Administrative Units data

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.

DOI📥

This dataset consists of:

  • data on unemployment (by age or duration),
  • data on population (by age and gender),
  • data on unemployment share.

Combined latest dataset

  • 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 2022-05-01
  • CZ: 77 LAU1 regions, data for 2022-05-01
  • PL: 380 LAU1 regions, data for 2022-05-01
  • HU: 197 LAU1 regions, data for 2022-05-01
column/number of observationsSKCZPLHU
period7977380197
lau7977380197
name7977380197
registered​_unemployed7977380197
registered​_unemployed​_females7977380197
disponible​_unemployed797700
pop​_in​_active​_age07700
low​_educated7977380197
long​_term79773800
unemployment​_inflow797700
unemployment​_outflow797700
pop​_period7977380197
TOTAL7977380197
Y15​_647977380197
Y15​_64​_females7977380197
local​_lau7977380197
osm​_id7977380197
abbr79773800
wikidata7977379197
way7977380197

unemployment share in V4 akt/unemployment-share-v4

Unemployment dataset

  • 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 305 periods (1997-01-01 ... 2022-05-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic
  • CZ: 77 LAU1 regions, data for 185 periods (2007-01-01 ... 2022-05-01), source: The Ministry of Labour and Social Affairs of the Czech Republic
  • PL: 380 LAU1 regions, data for 137 periods (2011-01-01 ... 2022-05-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]
  • HU: 197 LAU1 regions, data for 77 periods (2016-01-01 ... 2022-05-01), source: MUNKA
column/number of observationsSKCZPLHU
period24 09514 24552 03615 169
lau24 09514 24552 03615 169
name24 09514 24552 03615 169
registered​_unemployed24 09514 24552 03615 169
registered​_unemployed​_females948014 245646015 169
disponible​_unemployed23 14714 24500
pop​_in​_active​_age014 24500
low​_educated94017623646015 168
long​_term21 962762364600
unemployment​_inflow23 85814 24500
unemployment​_outflow23 85814 24500

Population dataset

  • 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 observationsSKCZPLHU
period6162277230 6032758
lau6162277230 6032758
name6162277230 6032758
gender6162277230 6032758
TOTAL6162277230 6032758
Y00-046162277230 6032758
Y05-096162277230 6032758
Y10-146162277230 6032758
Y15-196162277230 6032758
Y20-246162277230 6032758
Y25-296162277230 6032758
Y30-346162277230 6032758
Y35-396162277230 6032758
Y40-446162277230 6032758
Y45-496162277230 6032758
Y50-546162277230 6032758
Y55-596162277230 6032758
Y60-646162277230 6032758
Y65-696162277230 6032758
Y70-746162277222 7702758
Y75-796162277222 7702758
Y80-846162277222 7702758
Y85-896162277200
Y90-946162277200
Y​_GE954108277200
Y15​_646162277230 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
  • local_lau variable is an identifier used by local statistical office
  • abbr is abbreviation of region's name, used for map purposes
  • 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 Regularly updated

Regularly updated

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

ikona LAU1 data

Local Administrative Units data

Statistical data on LAU1 regions of Slovakia, Czech Republic, Poland, Hungary (and other countries in the future). This LAU1 dataset contains data on population, age structure of inhabitants, on number and structure of unemployed.. . .

Current statistics

May 2022: number of unemployed at the labour offices: 188886, of which 85552 are long term unemployed, unemployment rate 7.0 % (3.2 % long term unemployment)

Highest unemployment: Rimavská Sobota 21.5 % (13.9 %), Revúca 20.8 % (13.5 %), Kežmarok 18.5 % (9.8 %)

Lowest unemployment:: Bratislava V 2.8 %, Trenčín 2.9 %, Ilava 3.1 %, Bratislava I 3.3 %, Nitra 3.3 %