IZ Bratislava : Regularly updated : LAU1 dataset :

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, ... and there are 733 of them in this dataset. Overall, we cover 733 regions which are described by 134543 observations.

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.

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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, below_25, over_55, vacancies, 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 2024-05-01
CZ: 77 LAU1 regions, data for 2024-05-01
PL: 380 LAU1 regions, data for 2024-05-01
HU: 197 LAU1 regions, data for 2024-05-01

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	77	380	197
long_term	79	77	380	0
unemployment_inflow	79	77	0	0
unemployment_outflow	79	77	0	0
below_25	79	77	380	197
over_55	79	77	380	197
vacancies	79	77	380	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, below_25, over_55, vacancies
SK: 79 LAU1 regions, data for 329 periods (1997-01-01 ... 2024-05-01)
CZ: 77 LAU1 regions, data for 239 periods (2004-07-01 ... 2024-05-01)
PL: 380 LAU1 regions, data for 185 periods (2005-03-01 ... 2024-05-01)
HU: 197 LAU1 regions, data for 101 periods (2016-01-01 ... 2024-05-01)

column/number of observations	SK	CZ	PL	HU
period	25 991	18 403	70 252	19 897
lau	25 991	18 403	70 252	19 897
name	25 991	18 403	70 252	19 897
registered_unemployed	25 991	18 403	70 252	19 897
registered_unemployed_females	25 991	18 403	61 156	19 897
disponible_unemployed	25 043	18 403	0	0
low_educated	11 376	9470	39 868	19 896
long_term	23 858	9470	39 868	0
unemployment_inflow	25 754	16 093	0	0
unemployment_outflow	25 754	16 093	0	0
below_25	11 534	9470	15 580	19 896
over_55	11 534	9470	15 580	19 897
vacancies	11 297	18 403	61 156	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)
CZ: 78 LAU1 regions, data for 24 periods (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023)
PL: 382 LAU1 regions, data for 29 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, 2023)
HU: 197 LAU1 regions, data for 11 periods (2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023)

column/number of observations	SK	CZ	PL	HU
period	6399	5574	32 883	4334
lau	6399	5574	32 883	4334
name	6399	5574	32 883	4334
gender	6399	5574	32 883	4334
TOTAL	6399	5574	32 503	4334
Y00-04	6399	5574	32 503	4334
Y05-09	6399	5574	32 503	4334
Y10-14	6399	5574	32 503	4334
Y15-19	6399	5574	32 503	4334
Y20-24	6399	5574	32 503	4334
Y25-29	6399	5574	32 503	4334
Y30-34	6399	5574	32 503	4334
Y35-39	6399	5574	32 503	4334
Y40-44	6399	5574	32 503	4334
Y45-49	6399	5574	32 503	4334
Y50-54	6399	5574	32 503	4334
Y55-59	6399	5574	32 503	4334
Y60-64	6399	5574	32 503	4334
Y65-69	6399	5574	32 503	4334
Y70-74	6399	5574	24 670	4334
Y75-79	6399	5574	24 670	4334
Y80-84	6399	5574	24 670	4334
Y85-89	6399	5574	0	0
Y90-94	6399	5574	0	0
Y_GE95	6399	3234	0	0
Y15-64	6399	5574	32 503	4334

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