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Published May 30, 2022 | Version 2022.05
Dataset Open

LAU1 dataset

  • 1. IZ Bratislava; Faculty of management, Comenius University in Bratislava

Description

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 and CSV formats.

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,
  • 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 2022-04-01
  • CZ: 77 LAU1 regions, data for 2022-04-01
  • PL: 380 LAU1 regions, data for 2022-04-01
  • HU: 197 LAU1 regions, data for 2022-04-01
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

 

Unemployment dataset

  • 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 304 periods (1997-01-01 ... 2022-04-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic
  • CZ: 77 LAU1 regions, data for 184 periods (2007-01-01 ... 2022-04-01), source: The Ministry of Labour and Social Affairs of the Czech Republic
  • PL: 380 LAU1 regions, data for 136 periods (2011-01-01 ... 2022-04-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]
  • HU: 197 LAU1 regions, data for 76 periods (2016-01-01 ... 2022-04-01), source: MUNKA
column/number of observations SK CZ PL HU
period 24 016 14 168 51 656 14 972
lau 24 016 14 168 51 656 14 972
name 24 016 14 168 51 656 14 972
registered_unemployed 24 016 14 168 51 656 14 972
registered_unemployed_females 9401 14 168 6080 14 972
disponible_unemployed 23 068 14 168 0 0
pop_in_active_age 0 14 168 0 0
low_educated 9322 7546 6080 14 971
long_term 21 883 7546 6080 0
unemployment_inflow 23 779 14 168 0 0
unemployment_outflow 23 779 14 168 0 0

Population dataset

  • 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 26 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), 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 29 463 2758
lau 6162 2772 29 463 2758
name 6162 2772 29 463 2758
gender 6162 2772 29 463 2758
TOTAL 6162 2772 29 463 2758
Y00-04 6162 2772 29 463 2758
Y05-09 6162 2772 29 463 2758
Y10-14 6162 2772 29 463 2758
Y15-19 6162 2772 29 463 2758
Y20-24 6162 2772 29 463 2758
Y25-29 6162 2772 29 463 2758
Y30-34 6162 2772 29 463 2758
Y35-39 6162 2772 29 463 2758
Y40-44 6162 2772 29 463 2758
Y45-49 6162 2772 29 463 2758
Y50-54 6162 2772 29 463 2758
Y55-59 6162 2772 29 463 2758
Y60-64 6162 2772 29 463 2758
Y65-69 6162 2772 29 463 2758
Y70-74 6162 2772 21 630 2758
Y75-79 6162 2772 21 630 2758
Y80-84 6162 2772 21 630 2758
Y85-89 6162 2772 0 0
Y90-94 6162 2772 0 0
Y_GE95 4108 2772 0 0
Y15_64 6162 2772 29 463 2758

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

Example outputs

Files

lau1-2019-iz.csv

Files (73.7 MB)

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