There is a newer version of the record available.

Published April 28, 2023 | Version 2023.04

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 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
  • no time series, only most recent data on population and unemployment combined in one output file
  • 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
  • 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 2023-03-01
  • CZ: 77 LAU1 regions, data for 2023-03-01
  • PL: 380 LAU1 regions, data for 2023-03-01
  • HU: 197 LAU1 regions, data for 2023-03-01
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 0 77 0 0
low_educated 0 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 315 periods (1997-01-01 ... 2023-03-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic
  • CZ: 77 LAU1 regions, data for 225 periods (2004-07-01 ... 2023-03-01), source: The Ministry of Labour and Social Affairs of the Czech Republic
  • PL: 380 LAU1 regions, data for 171 periods (2005-03-01 ... 2023-03-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]
  • HU: 197 LAU1 regions, data for 87 periods (2016-01-01 ... 2023-03-01), source: MUNKA
column/number of observations SK CZ PL HU
period 24 885 17 325 64 932 17 139
lau 24 885 17 325 64 932 17 139
name 24 885 17 325 64 932 17 139
registered_unemployed 24 885 17 325 64 932 17 139
registered_unemployed_females 24 885 17 325 55 836 17 139
disponible_unemployed 23 700 17 325 0 0
low_educated 10 033 8239 34 548 17 138
long_term 22 752 8239 34 548 0
unemployment_inflow 24 648 15 015 0 0
unemployment_outflow 24 648 15 015 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 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 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 5112 30 603 3940
lau 6399 5112 30 603 3940
name 6399 5112 30 603 3940
gender 6399 5112 30 603 3940
TOTAL 6399 5112 30 603 3940
Y00-04 6399 5112 30 603 3940
Y05-09 6399 5112 30 603 3940
Y10-14 6399 5112 30 603 3940
Y15-19 6399 5112 30 603 3940
Y20-24 6399 5112 30 603 3940
Y25-29 6399 5112 30 603 3940
Y30-34 6399 5112 30 603 3940
Y35-39 6399 5112 30 603 3940
Y40-44 6399 5112 30 603 3940
Y45-49 6399 5112 30 603 3940
Y50-54 6399 5112 30 603 3940
Y55-59 6399 5112 30 603 3940
Y60-64 6399 5112 30 603 3940
Y65-69 6399 5112 30 603 3940
Y70-74 6399 5112 22 770 3940
Y75-79 6399 5112 22 770 3940
Y80-84 6399 5112 22 770 3940
Y85-89 6399 5112 0 0
Y90-94 6399 5112 0 0
Y_GE95 4266 5112 0 0
Y15_64 6399 5112 30 603 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 (107.1 MB)

Name Size Download all
md5:44df350b053cda4801e330d2a6dbd4df
57.9 kB Preview Download
md5:1d963979bcb09307d1faf3af2eb4874a
15.6 MB Download
md5:eb026b7f2c3db0316490737379df06f6
29.9 kB Download
md5:a7f682f1941fd462749af9f50a0da7ff
73.0 kB Download
md5:db1a8cbb5ba4b9c8e996e41126ba6bea
26.5 MB Preview Download
md5:98af5ce48e82118b5e72dbf7ff9b968c
27.4 MB Download
md5:21db38bff82185e0ec756a87848c727d
429.5 kB Download
md5:7abd3c5cdf0bb27be1524a86ca4526be
56.1 kB Download
md5:b61a916c735d4809aba1ab2d798d2f0a
10.4 MB Preview Download
md5:02d9b85593370e695646f99aca807612
2.6 MB Download
md5:0ca322700e54d2faeb7c53ee53f1913e
2.0 MB Download
md5:2032093c43ad82245042e2316b071ebe
56.5 kB Preview Download
md5:6802bb27390682db9f440bb4c698b84e
249.5 kB Preview Download
md5:d95fa8dccc3e9d36c64439a16d2ab256
18.3 kB Download
md5:90158d5445e6d0c2b8b04f4ed95116fa
6.2 MB Preview Download
md5:87468b643b9fe95c89c9493bb5cda32e
2.5 MB Download
md5:e40bed87c9b3989da83c658f4d49e2d6
1.9 MB Download
md5:8422d0de9dd8b78ecdc91514ece6927c
7.5 MB Preview Download
md5:c34d2a66379db8701b60cbf45cb0acb5
1.9 MB Download
md5:79e6434c2f17b34672f7d3a518a959e7
1.5 MB Download
md5:1eb7a48472d3de10f93d4eb15fe1f8d0
69.9 kB Preview Download