DOI: 10.5281/zenodo.10899144
title: LAU1 dataset

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, ... and there are 733 of them in this dataset. Overall, we cover 733 regions which are described by 132344 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.

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, 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 2024-02-01

CZ: 77 LAU1 regions, data for 2024-02-01

PL: 380 LAU1 regions, data for 2024-02-01

HU: 197 LAU1 regions, data for 2024-02-01





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


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

SK: 79 LAU1 regions, data for 326 periods (1997-01-01 ... 2024-02-01), source: Central Office of Labour, Social Affairs and Family of the Slovak Republic

CZ: 77 LAU1 regions, data for 236 periods (2004-07-01 ... 2024-02-01), source: The Ministry of Labour and Social Affairs of the Czech Republic

PL: 380 LAU1 regions, data for 182 periods (2005-03-01 ... 2024-02-01), source: Statistics Poland, tables [P2962], [P3898], [P3896]

HU: 197 LAU1 regions, data for 98 periods (2016-01-01 ... 2024-02-01), source: MUNKA





column/number of observations
SK
CZ
PL
HU




period
25 754
18 172
69 112
19 306


lau
25 754
18 172
69 112
19 306


name
25 754
18 172
69 112
19 306


registered_unemployed
25 754
18 172
69 112
19 306


registered_unemployed_females
25 754
18 172
60 016
19 306


disponible_unemployed
24 806
18 172
0
0


low_educated
11 139
9239
38 728
19 305


long_term
23 621
9239
38 728
0


unemployment_inflow
25 517
15 862
0
0


unemployment_outflow
25 517
15 862
0
0


below_25
11 297
9239
14 440
19 305


over_55
11 297
9239
14 440
19 306




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 11 periods (2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023), source: Hungarian Statistical Office: Calculated Population Data by District





column/number of observations
SK
CZ
PL
HU




period
6399
5343
31 743
4334


lau
6399
5343
31 743
4334


name
6399
5343
31 743
4334


gender
6399
5343
31 743
4334


TOTAL
6399
5343
31 363
4334


Y00-04
6399
5343
31 363
4334


Y05-09
6399
5343
31 363
4334


Y10-14
6399
5343
31 363
4334


Y15-19
6399
5343
31 363
4334


Y20-24
6399
5343
31 363
4334


Y25-29
6399
5343
31 363
4334


Y30-34
6399
5343
31 363
4334


Y35-39
6399
5343
31 363
4334


Y40-44
6399
5343
31 363
4334


Y45-49
6399
5343
31 363
4334


Y50-54
6399
5343
31 363
4334


Y55-59
6399
5343
31 363
4334


Y60-64
6399
5343
31 363
4334


Y65-69
6399
5343
31 363
4334


Y70-74
6399
5343
23 530
4334


Y75-79
6399
5343
23 530
4334


Y80-84
6399
5343
23 530
4334


Y85-89
6399
5343
0
0


Y90-94
6399
5343
0
0


Y_GE95
6399
5343
0
0


Y15-64
6399
5343
31 363
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


Example outputs



you can download data in CSV, xml, ods, xlsx, shp, SQL, postgis, topojson, geojson or json format at 📥 doi:10.5281/zenodo.6165135

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

Slovakia – SK, Czech Republic – CZ, Hungary – HU, Poland – PL, NUTS3 regions of Slovakia

download at 📥 doi:10.5281/zenodo.6165135

suggested citation: Páleník, M. (2024). LAU1 dataset [Data set]. IZ Bratislava. https://doi.org/10.5281/zenodo.6165135