Information about the rural district Fürth:

Population numbers per year
The number of inhabitants in the rural district Fürth

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Population numbers in the rural district Fürth 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 Fürth
Map of the district Fürth with the population per municipality.. 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 the district Fürth with the population per municipality. 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 the district Fürth with the population per municipality. 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 rural district Fürth

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Rural district Fürth, 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 rural district Fürth

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Rural district Fürth, 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 rural district Fürth.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses57Number2017
Active persons5.959Number2017
Gross wages€220.485Euro2017
DwellingsValueUnitYear
Houses 1 room753Number2019
Houses 2 rooms3.664Number2019
Houses 3 rooms9.967Number2019
Houses 4 rooms14.939Number2019
Houses 5 rooms11.292Number2019
Houses 6 rooms8.367Number2019
Houses 7+ rooms 8.389Number2019
Houses 1-2 rooms4.417Number2019
Houses 3-4 rooms24.906Number2019
Houses 5+ rooms28.048Number2019
1-2 rooms8%Percentage2019
3-4 rooms43%Percentage2019
5+ rooms49%Percentage2019
ElectionsValueUnitYear
Voters Bundestag91482,00Number2017
Voter turnout Bundestag82Number2017
Votes valid Bundestag74.047Number2017
Votes Bundestag CDU/CSU26.574Number2017
Votes Bundestag SPD13.928Number2017
Votes Bundestag GRÜNE7.690Number2017
Votes Bundestag FDP6.878Number2017
Votes Bundestag DIE LINKE5.016Number2017
Votes Bundestag AfD8.991Number2017
Votes Bundestag other parties4.970Number2017
Votes Bundestag total74.047Number2017
% Votes Bundestag CDU/CSU29%Percentage2017
% Votes Bundestag SPD15%Percentage2017
% Votes Bundestag GRÜNE8%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees49.852Number2019
Employees male25.830Number2019
Employees female24.022Number2019
Employees foreigner4.291Number2019
Employees male foreigner2.562Number2019
Employees female foreigner1.729Number2019
Unemployed1.666Number2018
Unemployed foreigners308Number2018
Unemployed severely disabled249Number2018
Unemployed 15-2027Number2018
Unemployed 15-25130Number2018
Unemployed 55-65476Number2018
Unemployed long-term493Number2018
% 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 receivers60.185Number2015
Income total€2.548.920Euro2015
Income tax€457.193Euro2015
PopulationValueUnitYear
Population117.387Number2019
Men57.064Number2019
Women60.323Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1819.206Number2019
18-3013.889Number2019
30-4520.937Number2019
45-6028.529Number2019
18-6063.355Number2019
60-7520.989Number2019
60+34.826Number2019
Average age46Average number2019
Average age male44Average number2019
Average age female47Average number2019
Births1.046Number2018
Births male539Number2018
Births female507Number2018
1K Births9Number per 1000 inhabitants2018
Deaths1.304Number2018
Deaths male621Number2018
Deaths female683Number2018
1K Deaths11Number2018
0-33.412Number2019
Girls 0-31.682Number2019
Boys 0-31.730Number2019
3-63.367Number2019
Girls 3-61.642Number2019
Boys 3-61.725Number2019
6-104.209Number2019
10-155.052Number2019
15-183.166Number2019
18-202.303Number2019
20-255.706Number2019
25-305.880Number2019
30-356.595Number2019
35-407.241Number2019
40-457.101Number2019
45-508.144Number2019
50-5510.465Number2019
55-609.920Number2019
60-658.046Number2019
65-7512.943Number2019
Women 65-706.792Number2019
Men 65-706.151Number2019
75+13.837Number2019
Women 75+8.148Number2019
Men 75+5.689Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3012%Percentage2019
% 30-4518%Percentage2019
% 45-6024%Percentage2019
% 60+30%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 code09573Code2019
Region code 8 digits09573Code09573
Sorting code095730000000Code095730000000
Sorting code 8 digits09573000Code09573000
Region nameFürthName2019
Regional level4Categorical type2019
Region typeDistrictCategorical type2019
Region type detailrural districtCategorical type2019
Region name with typerural district FürthName2019
Region name in GermanLandkreis FürthName2019
Direct subregions14Number2019
NUTS codeDE258Code2019
Area307Area in km²2019
ReligionValueUnitYear
Roman Catholic church28.315Number2011
Protestant church55.308Number2011
Other or none29.163Number2011
% Roman Catholic church25%Percentage2011
% Protestant church49%Percentage2011
% Other or none26%Percentage2011
Roman Catholic church German26.781Number2011
Protestant church German55.089Number2011
Other or none German25.820Number2011
% Roman Catholic church German25%Percentage2011
% Protestant church German51%Percentage2011
% Other or none German Foreign24%Percentage2011
Roman Catholic church Foreign1.534Number2011
Protestant church Foreign219Number2011
Other or none Foreign3.343Number2011
% Roman Catholic church Foreign30%Percentage2011
% Protestant church Foreign4%Percentage2011
% Other or none Foreign66%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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