Published April 30, 2022
| Version 2022.04
Dataset
Open
LAU1 dataset
Creators
- 1. IZ Bratislava; Faculty of management, Comenius University in Bratislava
Description
Local Administrative Units data
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.
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 303 periods (1997-01-01 ... 2022-03-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic
- CZ: 77 LAU1 regions, data for 183 periods (2007-01-01 ... 2022-03-01), source: The Ministry of Labour and Social Affairs of the Czech Republic
- PL: 380 LAU1 regions, data for 134 periods (2011-01-01 ... 2022-02-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]
- HU: 197 LAU1 regions, data for 75 periods (2016-01-01 ... 2022-03-01), source: MUNKA
column/number of observations | SK | CZ | PL | HU |
---|---|---|---|---|
period | 23 937 | 14 091 | 50 896 | 14 775 |
lau | 23 937 | 14 091 | 50 896 | 14 775 |
name | 23 937 | 14 091 | 50 896 | 14 775 |
registered_unemployed | 23 937 | 14 091 | 50 896 | 14 775 |
registered_unemployed_females | 9322 | 14 091 | 5320 | 14 775 |
disponible_unemployed | 22 989 | 14 091 | 0 | 0 |
pop_in_active_age | 0 | 14 091 | 0 | 0 |
low_educated | 9243 | 7469 | 5320 | 14 774 |
long_term | 21 804 | 7469 | 5320 | 0 |
unemployment_inflow | 23 700 | 14 091 | 0 | 0 |
unemployment_outflow | 23 700 | 14 091 | 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 11 periods (2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020), 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 | 2541 | 29 463 | 2758 |
lau | 6162 | 2541 | 29 463 | 2758 |
name | 6162 | 2541 | 29 463 | 2758 |
gender | 6162 | 2541 | 29 463 | 2758 |
TOTAL | 6162 | 2541 | 29 463 | 2758 |
Y00-04 | 6162 | 2541 | 29 463 | 2758 |
Y05-09 | 6162 | 2541 | 29 463 | 2758 |
Y10-14 | 6162 | 2541 | 29 463 | 2758 |
Y15-19 | 6162 | 2541 | 29 463 | 2758 |
Y20-24 | 6162 | 2541 | 29 463 | 2758 |
Y25-29 | 6162 | 2541 | 29 463 | 2758 |
Y30-34 | 6162 | 2541 | 29 463 | 2758 |
Y35-39 | 6162 | 2541 | 29 463 | 2758 |
Y40-44 | 6162 | 2541 | 29 463 | 2758 |
Y45-49 | 6162 | 2541 | 29 463 | 2758 |
Y50-54 | 6162 | 2541 | 29 463 | 2758 |
Y55-59 | 6162 | 2541 | 29 463 | 2758 |
Y60-64 | 6162 | 2541 | 29 463 | 2758 |
Y65-69 | 6162 | 2541 | 29 463 | 2758 |
Y70-74 | 6162 | 2541 | 21 630 | 2758 |
Y75-79 | 6162 | 2541 | 21 630 | 2758 |
Y80-84 | 6162 | 2541 | 21 630 | 2758 |
Y85-89 | 6162 | 2541 | 0 | 0 |
Y90-94 | 6162 | 2541 | 0 | 0 |
Y_GE95 | 4108 | 2541 | 0 | 0 |
Y15_64 | 6162 | 2541 | 29 463 | 2758 |
Combined latest dataset
- no time series, only most recent data on population and unemployment combined in one output file
- source of map contoures 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
- SK: 79 LAU1 regions, data for 2022-03-01
- CZ: 77 LAU1 regions, data for 2022-03-01
- PL: 380 LAU1 regions, data for 2022-02-01
- HU: 197 LAU1 regions, data for 2022-03-01
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 | 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 |
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
- Counties of Slovakia – unemployment rate in Slovak LAU1 regions
- Regions of the Slovak Republic
- Unemployment of Czechia and Slovakia – unemployment share in LAU1 regions of Slovakia and Czechia
- interactive map on unemployment in Slovakia
- download at doi:10.5281/zenodo.6165135
Files
lau1-2019-iz.csv
Files
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