Information about the municipality city Blieskastel:

View the information on over 100 topics about the municipality city Blieskastel! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality city Blieskastel! With charts, links to more information & an overview of all figures in 1 table.
Population numbers per year
The number of inhabitants in the municipality city Blieskastel

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Population numbers in the municipality city Blieskastel for the years 2009 thru 2019.

The number of inhabitants is the number of persons as registered in the population register on January 1st.

Population at the map of Blieskastel
Map of Rural district Saarpfalz-Kreis with the population per municipality.Municipality Blieskastel is highlighted with a red edge.. This page shows a lot of information about residents (such as the distribution by age groups, family composition, gender, native or German with an immigration background, ...), homes (numbers, types, price development, use, type of property, ...) and more (car ownership, energy consumption, ...) based on open data from the German Federal Agency for Cartography, the Federal Statistical Office (DESTATIS), the Regional Statistical Offices and various other sources!

Map of Rural district Saarpfalz-Kreis with the population per municipality.Municipality Blieskastel is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bexbach, 2: municipality city Homburg, 3: municipality Kirkel, 4: municipality city St. Ingbert, 5: municipality city Blieskastel, 6: municipality Mandelbachtal, 7: municipality Gersheim.

Population per age group
The percentage of inhabitants per age group in the municipality city Blieskastel

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Municipality city Blieskastel, 2019, age groups.

Population, age groups: percentage of inhabitants per age category.

The number of rooms per house (dwelling)
The number of rooms of the houses in the municipality city Blieskastel

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Municipality city Blieskastel, 2019, number of rooms per house.

The percentage shows the relative share of houses per category based on the numer of rooms: 1 to 2 rooms, 3 to 4 rooms or 5 rooms or more. This is based on the total number of rooms as identified for all dwellings in the municipality city Blieskastel.

Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for the municipality city Blieskastel. Select a category to display the related topics:

BusinessValueUnitYear
Businesses9Number2017
Active persons1.522Number2017
Gross wages€73.331Euro2017
DwellingsValueUnitYear
Houses 1 room45Number2019
Houses 2 rooms303Number2019
Houses 3 rooms1.072Number2019
Houses 4 rooms2.000Number2019
Houses 5 rooms2.139Number2019
Houses 6 rooms2.108Number2019
Houses 7+ rooms 2.786Number2019
Houses 1-2 rooms348Number2019
Houses 3-4 rooms3.072Number2019
Houses 5+ rooms7.033Number2019
1-2 rooms3%Percentage2019
3-4 rooms29%Percentage2019
5+ rooms67%Percentage2019
ElectionsValueUnitYear
Voters Bundestag17562,00Number2017
Voter turnout Bundestag81Number2017
Votes valid Bundestag14.026Number2017
Votes Bundestag CDU/CSU4.591Number2017
Votes Bundestag SPD3.557Number2017
Votes Bundestag GRÜNE921Number2017
Votes Bundestag FDP1.043Number2017
Votes Bundestag DIE LINKE1.685Number2017
Votes Bundestag AfD1.654Number2017
Votes Bundestag other parties575Number2017
Votes Bundestag total14.026Number2017
% Votes Bundestag CDU/CSU26%Percentage2017
% Votes Bundestag SPD20%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE10%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees8.088Number2019
Employees male4.329Number2019
Employees female3.759Number2019
Employees foreigner347Number2019
Employees male foreigner220Number2019
Employees female foreigner127Number2019
Unemployed439Number2018
Unemployed foreigners82Number2018
Unemployed severely disabled28Number2018
Unemployed 15-209Number2018
Unemployed 15-2537Number2018
Unemployed 55-65140Number2018
Unemployed long-term119Number2018
% Unemployed2%Percentage2018
% Unemployed foreigners0%Percentage of the population2018
% Unemployed severely disabled0%Percentage of the population2018
% Unemployed 15-200%Percentage of the population2018
% Unemployed 15-250%Percentage of the population2018
% Unemployed 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers10.613Number2015
Income total€393.023Euro2015
Income tax€63.101Euro2015
PopulationValueUnitYear
Population20.656Number2019
Men10.183Number2019
Women10.473Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-182.866Number2019
18-302.397Number2019
30-453.230Number2019
45-605.090Number2019
18-6010.717Number2019
60-754.220Number2019
60+7.073Number2019
Average age48Average number2019
Average age male46Average number2019
Average age female50Average number2019
Births169Number2018
Births male73Number2018
Births female96Number2018
1K Births8Number per 1000 inhabitants2018
Deaths291Number2018
Deaths male137Number2018
Deaths female154Number2018
1K Deaths14Number2018
0-3494Number2019
Girls 0-3251Number2019
Boys 0-3243Number2019
3-6456Number2019
Girls 3-6210Number2019
Boys 3-6246Number2019
6-10608Number2019
10-15779Number2019
15-18529Number2019
18-20386Number2019
20-25953Number2019
25-301.058Number2019
30-351.024Number2019
35-401.132Number2019
40-451.074Number2019
45-501.271Number2019
50-551.878Number2019
55-601.941Number2019
60-651.705Number2019
65-752.515Number2019
Women 65-701.305Number2019
Men 65-701.210Number2019
75+2.853Number2019
Women 75+1.658Number2019
Men 75+1.195Number2019
% 0-108%Percentage2019
% 10-186%Percentage2019
% 18-3012%Percentage2019
% 30-4516%Percentage2019
% 45-6025%Percentage2019
% 60+34%Percentage2019
Real estateValueUnitYear
Property tax A revenueno dataEurono data
Property tax B revenueno dataEurono data
Trade tax actual revenueno dataEurono data
Property tax A basic amountno dataEurono data
Property tax B basic amountno dataEurono data
Trade tax basic amountno dataEurono data
Property tax A rateno dataEurono data
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levyno dataEurono data
Trade tax netno dataEurono data
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code100450112112Code2019
Region code 8 digits10045112Code10045112
Sorting code100450112112Code100450112112
Sorting code 8 digits10045112Code10045112
Region nameBlieskastelName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city BlieskastelName2019
Region name in GermanGemeinde Stadt BlieskastelName2019
Direct subregionsno dataNumber2019
NUTS codeDEC05Code2019
Area108Area in km²2019
ReligionValueUnitYear
Roman Catholic church12.523Number2011
Protestant church5.528Number2011
Other or none3.204Number2011
% Roman Catholic church59%Percentage2011
% Protestant church26%Percentage2011
% Other or none15%Percentage2011
Roman Catholic church German12.248Number2011
Protestant church German5.491Number2011
Other or none German2.905Number2011
% Roman Catholic church German59%Percentage2011
% Protestant church German27%Percentage2011
% Other or none German Foreign14%Percentage2011
Roman Catholic church Foreign275Number2011
Protestant church Foreign37Number2011
Other or none Foreign299Number2011
% Roman Catholic church Foreign45%Percentage2011
% Protestant church Foreign6%Percentage2011
% Other or none Foreign49%Percentage2011
Open data sources used

Data is used from multiple German open data providers. See this description of the sources with the definitions of all regional topics.

Sources & definitions
Under development
Work is in progress to add more information to this page

This page will be further expanded with more topics in clear graphs. This will be done in several iterations in the coming weeks.

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