Information about the municipality Großrosseln:

View the information on over 100 topics about the municipality Großrosseln! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Großrosseln! 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 Großrosseln

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Population numbers in the municipality Großrosseln 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 Großrosseln
Map of Rural district Regionalverband Saarbrücken with the population per municipality.Municipality Großrosseln 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 Regionalverband Saarbrücken with the population per municipality.Municipality Großrosseln is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Heusweiler, 2: municipality city Friedrichsthal, 3: municipality Quierschied, 4: municipality Riegelsberg, 5: municipality city Sulzbach/Saar, 6: municipality city Püttlingen, 7: municipality city Saarbrücken, 8: municipality city Völklingen, 9: municipality Großrosseln, 10: municipality Kleinblittersdorf.

Population per age group
The percentage of inhabitants per age group in the municipality Großrosseln

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Municipality Großrosseln, 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 Großrosseln

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Municipality Großrosseln, 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 Großrosseln.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses3Number2017
Active persons120Number2017
Gross wages€2.773Euro2017
DwellingsValueUnitYear
Houses 1 room5Number2019
Houses 2 rooms106Number2019
Houses 3 rooms426Number2019
Houses 4 rooms1.084Number2019
Houses 5 rooms1.075Number2019
Houses 6 rooms742Number2019
Houses 7+ rooms 819Number2019
Houses 1-2 rooms111Number2019
Houses 3-4 rooms1.510Number2019
Houses 5+ rooms2.636Number2019
1-2 rooms3%Percentage2019
3-4 rooms35%Percentage2019
5+ rooms62%Percentage2019
ElectionsValueUnitYear
Voters Bundestag6526,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag4.998Number2017
Votes Bundestag CDU/CSU1.498Number2017
Votes Bundestag SPD1.615Number2017
Votes Bundestag GRÜNE216Number2017
Votes Bundestag FDP311Number2017
Votes Bundestag DIE LINKE616Number2017
Votes Bundestag AfD539Number2017
Votes Bundestag other parties203Number2017
Votes Bundestag total4.998Number2017
% Votes Bundestag CDU/CSU23%Percentage2017
% Votes Bundestag SPD25%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees2.985Number2019
Employees male1.601Number2019
Employees female1.384Number2019
Employees foreigner159Number2019
Employees male foreigner103Number2019
Employees female foreigner56Number2019
Unemployed222Number2018
Unemployed foreigners47Number2018
Unemployed severely disabled19Number2018
Unemployed 15-206Number2018
Unemployed 15-2522Number2018
Unemployed 55-6538Number2018
Unemployed long-term83Number2018
% Unemployed3%Percentage2018
% Unemployed foreigners1%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 55-650%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers3.652Number2015
Income total€117.922Euro2015
Income tax€16.265Euro2015
PopulationValueUnitYear
Population7.972Number2019
Men3.849Number2019
Women4.123Number2019
% Men48%Percentage2019
% Women52%Percentage2019
0-181.030Number2019
18-30938Number2019
30-451.206Number2019
45-601.938Number2019
18-604.082Number2019
60-751.763Number2019
60+2.860Number2019
Average age49Average number2019
Average age male47Average number2019
Average age female50Average number2019
Births54Number2018
Births male27Number2018
Births female27Number2018
1K Births7Number per 1000 inhabitants2018
Deaths109Number2018
Deaths male54Number2018
Deaths female55Number2018
1K Deaths14Number2018
0-3179Number2019
Girls 0-392Number2019
Boys 0-387Number2019
3-6154Number2019
Girls 3-672Number2019
Boys 3-682Number2019
6-10198Number2019
10-15298Number2019
15-18201Number2019
18-20136Number2019
20-25393Number2019
25-30409Number2019
30-35425Number2019
35-40426Number2019
40-45355Number2019
45-50505Number2019
50-55683Number2019
55-60750Number2019
60-65664Number2019
65-751.099Number2019
Women 65-70590Number2019
Men 65-70509Number2019
75+1.097Number2019
Women 75+669Number2019
Men 75+428Number2019
% 0-107%Percentage2019
% 10-186%Percentage2019
% 18-3012%Percentage2019
% 30-4515%Percentage2019
% 45-6024%Percentage2019
% 60+36%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 code100410512512Code2019
Region code 8 digits10041512Code10041512
Sorting code100410512512Code100410512512
Sorting code 8 digits10041512Code10041512
Region nameGroßrosselnName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality GroßrosselnName2019
Region name in GermanGemeinde GroßrosselnName2019
Direct subregionsno dataNumber2019
NUTS codeDEC01Code2019
Area25Area in km²2019
ReligionValueUnitYear
Roman Catholic church5.493Number2011
Protestant church1.609Number2011
Other or none1.301Number2011
% Roman Catholic church65%Percentage2011
% Protestant church19%Percentage2011
% Other or none15%Percentage2011
Roman Catholic church German5.271Number2011
Protestant church German1.585Number2011
Other or none German1.117Number2011
% Roman Catholic church German66%Percentage2011
% Protestant church German20%Percentage2011
% Other or none German Foreign14%Percentage2011
Roman Catholic church Foreign222Number2011
Protestant church Foreign24Number2011
Other or none Foreign184Number2011
% Roman Catholic church Foreign52%Percentage2011
% Protestant church Foreign6%Percentage2011
% Other or none Foreign43%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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