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Published July 28, 2023 | Version 2023.07
Dataset Open

LAU1 dataset

Authors/Creators

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

Description

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, ...

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.

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

 

  • 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, 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 2023-06-01
  • CZ: 77 LAU1 regions, data for 2023-06-01
  • PL: 380 LAU1 regions, data for 2023-06-01
  • HU: 197 LAU1 regions, data for 2023-06-01
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
low_educated 79 0 380 197
long_term 79 0 380 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

  • 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
  • SK: 79 LAU1 regions, data for 318 periods (1997-01-01 ... 2023-06-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic
  • CZ: 77 LAU1 regions, data for 228 periods (2004-07-01 ... 2023-06-01), source: The Ministry of Labour and Social Affairs of the Czech Republic
  • PL: 380 LAU1 regions, data for 174 periods (2005-03-01 ... 2023-06-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]
  • HU: 197 LAU1 regions, data for 90 periods (2016-01-01 ... 2023-06-01), source: MUNKA
column/number of observations SK CZ PL HU
period 25 122 17 556 66 072 17 730
lau 25 122 17 556 66 072 17 730
name 25 122 17 556 66 072 17 730
registered_unemployed 25 122 17 556 66 072 17 730
registered_unemployed_females 25 122 17 556 56 976 17 730
disponible_unemployed 24 174 17 556 0 0
low_educated 10 428 8316 35 688 17 729
long_term 22 989 8316 35 688 0
unemployment_inflow 11 376 15 246 0 0
unemployment_outflow 11 376 15 246 0 0

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 10 periods (2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022), source: Hungarian Statistical Office: Calculated Population Data by District
column/number of observations SK CZ PL HU
period 6399 5343 31 743 3940
lau 6399 5343 31 743 3940
name 6399 5343 31 743 3940
gender 6399 5343 31 743 3940
TOTAL 6399 5343 31 363 3940
Y00-04 6399 5343 31 363 3940
Y05-09 6399 5343 31 363 3940
Y10-14 6399 5343 31 363 3940
Y15-19 6399 5343 31 363 3940
Y20-24 6399 5343 31 363 3940
Y25-29 6399 5343 31 363 3940
Y30-34 6399 5343 31 363 3940
Y35-39 6399 5343 31 363 3940
Y40-44 6399 5343 31 363 3940
Y45-49 6399 5343 31 363 3940
Y50-54 6399 5343 31 363 3940
Y55-59 6399 5343 31 363 3940
Y60-64 6399 5343 31 363 3940
Y65-69 6399 5343 31 363 3940
Y70-74 6399 5343 23 530 3940
Y75-79 6399 5343 23 530 3940
Y80-84 6399 5343 23 530 3940
Y85-89 6399 5343 0 0
Y90-94 6399 5343 0 0
Y_GE95 4266 5343 0 0
Y15_64 6399 5343 31 363 3940

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

Files

lau1-current-iz.csv

Files (107.5 MB)

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