Information about the municipality Seukendorf:

Population numbers per year
The number of inhabitants in the municipality Seukendorf

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Population numbers in the municipality Seukendorf 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 Seukendorf
Map of Rural district Fürth with the population per municipality.Municipality Seukendorf 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 Fürth with the population per municipality.Municipality Seukendorf is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Tuchenbach, 2: municipality Obermichelbach, 3: municipality Puschendorf, 4: municipality Veitsbronn, 5: municipality city Langenzenn ...Show more... Map of Rural district Fürth with the population per municipality.Municipality Seukendorf is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Tuchenbach, 2: municipality Obermichelbach, 3: municipality Puschendorf, 4: municipality Veitsbronn, 5: municipality city Langenzenn, 6: municipality Seukendorf, 7: municipality Wilhermsdorf, 8: municipality Cadolzburg, 9: municipality city Zirndorf, 10: municipality Ammerndorf, 11: municipality city Oberasbach, 12: municipality Großhabersdorf, 13: municipality city Stein, 14: municipality Roßtal ...Show less...

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

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Municipality Seukendorf, 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 Seukendorf

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Municipality Seukendorf, 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 Seukendorf.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room6Number2019
Houses 2 rooms60Number2019
Houses 3 rooms180Number2019
Houses 4 rooms404Number2019
Houses 5 rooms331Number2019
Houses 6 rooms243Number2019
Houses 7+ rooms 249Number2019
Houses 1-2 rooms66Number2019
Houses 3-4 rooms584Number2019
Houses 5+ rooms823Number2019
1-2 rooms4%Percentage2019
3-4 rooms40%Percentage2019
5+ rooms56%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2568,00Number2017
Voter turnout Bundestag84Number2017
Votes valid Bundestag2.155Number2017
Votes Bundestag CDU/CSU822Number2017
Votes Bundestag SPD397Number2017
Votes Bundestag GRÜNE185Number2017
Votes Bundestag FDP213Number2017
Votes Bundestag DIE LINKE116Number2017
Votes Bundestag AfD253Number2017
Votes Bundestag other parties169Number2017
Votes Bundestag total2.155Number2017
% Votes Bundestag CDU/CSU32%Percentage2017
% Votes Bundestag SPD15%Percentage2017
% Votes Bundestag GRÜNE7%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties7%Percentage2017
EmploymentValueUnitYear
Employees1.345Number2019
Employees male679Number2019
Employees female666Number2019
Employees foreigner72Number2019
Employees male foreigner42Number2019
Employees female foreigner30Number2019
Unemployed29Number2018
Unemployed foreigners3Number2018
Unemployed severely disabled4Number2018
Unemployed 15-201Number2018
Unemployed 15-255Number2018
Unemployed 55-656Number2018
Unemployed long-term8Number2018
% Unemployed1%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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.693Number2015
Income total€72.694Euro2015
Income tax€13.101Euro2015
PopulationValueUnitYear
Population3.128Number2019
Men1.545Number2019
Women1.583Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18463Number2019
18-30384Number2019
30-45542Number2019
45-60843Number2019
18-601.769Number2019
60-75613Number2019
60+896Number2019
Average age46Average number2019
Average age male46Average number2019
Average age female46Average number2019
Births22Number2018
Births male4Number2018
Births female18Number2018
1K Births7Number per 1000 inhabitants2018
Deaths23Number2018
Deaths male14Number2018
Deaths female9Number2018
1K Deaths7Number2018
0-377Number2019
Girls 0-345Number2019
Boys 0-332Number2019
3-677Number2019
Girls 3-637Number2019
Boys 3-640Number2019
6-1096Number2019
10-15129Number2019
15-1884Number2019
18-2071Number2019
20-25162Number2019
25-30151Number2019
30-35173Number2019
35-40172Number2019
40-45197Number2019
45-50216Number2019
50-55317Number2019
55-60310Number2019
60-65223Number2019
65-75390Number2019
Women 65-70190Number2019
Men 65-70200Number2019
75+283Number2019
Women 75+154Number2019
Men 75+129Number2019
% 0-108%Percentage2019
% 10-187%Percentage2019
% 18-3012%Percentage2019
% 30-4517%Percentage2019
% 45-6027%Percentage2019
% 60+29%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 code095735517126Code2019
Region code 8 digits09573126Code09573126
Sorting code095735517126Code095735517126
Sorting code 8 digits09573126Code09573126
Region nameSeukendorfName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SeukendorfName2019
Region name in GermanGemeinde SeukendorfName2019
Direct subregionsno dataNumber2019
NUTS codeDE258Code2019
Area8Area in km²2019
ReligionValueUnitYear
Roman Catholic church753Number2011
Protestant church1.510Number2011
Other or none837Number2011
% Roman Catholic church24%Percentage2011
% Protestant church49%Percentage2011
% Other or none27%Percentage2011
Roman Catholic church German705Number2011
Protestant church German1.507Number2011
Other or none German777Number2011
% Roman Catholic church German24%Percentage2011
% Protestant church German50%Percentage2011
% Other or none German Foreign26%Percentage2011
Roman Catholic church Foreign48Number2011
Protestant church Foreign3Number2011
Other or none Foreign60Number2011
% Roman Catholic church Foreign43%Percentage2011
% Protestant church Foreign3%Percentage2011
% Other or none Foreign54%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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