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Published October 28, 2022 | Version 2022.10

LAU1 dataset

Authors/Creators

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

Description

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 unemployed. Dataset prepared by Michal Páleník. Output files are in json, shapefiles, xls, ods, json, topojson or CSV formats. Downloadable at zenodo.org.

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This dataset consists of:

  • data on unemployment (by gender, education or duration),
  • 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 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, 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, population_density, area_square_km, way
  • SK: 79 LAU1 regions, data for 2022-09-01
  • CZ: 77 LAU1 regions, data for 2022-09-01
  • PL: 380 LAU1 regions, data for 2022-09-01
  • HU: 197 LAU1 regions, data for 2022-09-01
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 77 380 197
population_density 79 77 380 197
area_square_km 79 77 380 197
way 79 77 380 197

 

Unemployment dataset

column/number of observations SK CZ PL HU
period 24 411 16 863 62 652 15 957
lau 24 411 16 863 62 652 15 957
name 24 411 16 863 62 652 15 957
registered_unemployed 24 411 16 863 62 652 15 957
registered_unemployed_females 24 411 16 863 53 556 15 957
disponible_unemployed 23 463 16 863 0 0
pop_in_active_age 0 14 553 0 0
low_educated 9796 7931 32 268 15 956
long_term 22 278 7931 32 268 0
unemployment_inflow 24 174 14 553 0 0
unemployment_outflow 24 174 14 553 0 0

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 observations SK CZ PL HU
period 6162 5112 30 603 2758
lau 6162 5112 30 603 2758
name 6162 5112 30 603 2758
gender 6162 5112 30 603 2758
TOTAL 6162 5112 30 603 2758
Y00-04 6162 5112 30 603 2758
Y05-09 6162 5112 30 603 2758
Y10-14 6162 5112 30 603 2758
Y15-19 6162 5112 30 603 2758
Y20-24 6162 5112 30 603 2758
Y25-29 6162 5112 30 603 2758
Y30-34 6162 5112 30 603 2758
Y35-39 6162 5112 30 603 2758
Y40-44 6162 5112 30 603 2758
Y45-49 6162 5112 30 603 2758
Y50-54 6162 5112 30 603 2758
Y55-59 6162 5112 30 603 2758
Y60-64 6162 5112 30 603 2758
Y65-69 6162 5112 30 603 2758
Y70-74 6162 5112 22 770 2758
Y75-79 6162 5112 22 770 2758
Y80-84 6162 5112 22 770 2758
Y85-89 6162 5112 0 0
Y90-94 6162 5112 0 0
Y_GE95 4108 5112 0 0
Y15_64 6162 5112 30 603 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
  • 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

Files

lau1-current-iz.csv

Files (76.7 MB)

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