Dataset Open Access

LAU1 dataset

Páleník, Michal

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.

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 2022-06-01
  • CZ: 77 LAU1 regions, data for 2022-06-01
  • PL: 380 LAU1 regions, data for 2022-06-01
  • HU: 197 LAU1 regions, data for 2022-06-01
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
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

  • 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 306 periods (1997-01-01 ... 2022-06-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic
  • CZ: 77 LAU1 regions, data for 186 periods (2007-01-01 ... 2022-06-01), source: The Ministry of Labour and Social Affairs of the Czech Republic
  • PL: 380 LAU1 regions, data for 138 periods (2011-01-01 ... 2022-06-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]
  • HU: 197 LAU1 regions, data for 78 periods (2016-01-01 ... 2022-06-01), source: MUNKA
column/number of observations SK CZ PL HU
period 24 174 14 322 52 416 15 366
lau 24 174 14 322 52 416 15 366
name 24 174 14 322 52 416 15 366
registered_unemployed 24 174 14 322 52 416 15 366
registered_unemployed_females 9559 14 322 6840 15 366
disponible_unemployed 23 226 14 322 0 0
pop_in_active_age 0 14 322 0 0
low_educated 9480 7700 6840 15 365
long_term 22 041 7700 6840 0
unemployment_inflow 23 937 14 322 0 0
unemployment_outflow 23 937 14 322 0 0

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 observations SK CZ PL HU
period 6162 2772 30 603 2758
lau 6162 2772 30 603 2758
name 6162 2772 30 603 2758
gender 6162 2772 30 603 2758
TOTAL 6162 2772 30 603 2758
Y00-04 6162 2772 30 603 2758
Y05-09 6162 2772 30 603 2758
Y10-14 6162 2772 30 603 2758
Y15-19 6162 2772 30 603 2758
Y20-24 6162 2772 30 603 2758
Y25-29 6162 2772 30 603 2758
Y30-34 6162 2772 30 603 2758
Y35-39 6162 2772 30 603 2758
Y40-44 6162 2772 30 603 2758
Y45-49 6162 2772 30 603 2758
Y50-54 6162 2772 30 603 2758
Y55-59 6162 2772 30 603 2758
Y60-64 6162 2772 30 603 2758
Y65-69 6162 2772 30 603 2758
Y70-74 6162 2772 22 770 2758
Y75-79 6162 2772 22 770 2758
Y80-84 6162 2772 22 770 2758
Y85-89 6162 2772 0 0
Y90-94 6162 2772 0 0
Y_GE95 4108 2772 0 0
Y15_64 6162 2772 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
  • wikidata is code used by wikidata
  • osm_id is region's relation number in the OpenStreetMap database

Example outputs

Files (74.5 MB)
Name Size
lau1-current-iz.csv
md5:92804b7fe8eaed494611f8a8bdfcafb6
60.1 kB Download
lau1-current-iz.json.gz
md5:87580f1338a47ecbbd9fa665a4a43472
31.6 kB Download
lau1-current-iz.ods
md5:23ed1bbd532a43bc988bf0aa7573c61a
80.5 kB Download
lau1-current-iz.shp.zip
md5:f431509c2d2acec01ed8f66789ce57ff
26.5 MB Download
lau1-current-iz.xlsx
md5:e39cd39521c7cc960aa38689e4b4b33a
58.4 kB Download
lau1-history-iz.csv
md5:c938f6ac24445e9906f5d20b731dec83
5.4 MB Download
lau1-history-iz.json
md5:6a223d4f9fcd8bfcaeb289e843209e5b
23.5 MB Download
lau1-o2019-iz.csv
md5:b58ecfb47fa527fcdb90dc2aceb1e416
56.3 kB Download
lau1-o2019-iz.json
md5:399da3ce0f326cbecfcd1be2ac2eef01
267.5 kB Download
lau1-population-iz.csv
md5:221cf063e8a63e553d72ede898f1d831
5.6 MB Download
lau1-population-iz.json.bz2
md5:4b050d5ff57a0bcd757e59bf46824706
2.3 MB Download
lau1-unemployment-iz.csv
md5:994390ef392d95cb0048e00b02854e89
6.4 MB Download
lau1-unemployment-iz.json.bz2
md5:56abefd6bc850530a8d7a0711b904028
1.3 MB Download
lau1-unemployment-iz.json.zip
md5:751e468f1b7946051f679a889519df21
2.8 MB Download
unemployment-share-v4.png
md5:8ad22444cd113bfc9bbb7983d314f117
70.2 kB Download
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