Information about the independent city district Fürth:

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

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Population numbers in the independent city 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 Free state Bavaria with the population per district.District Fürth 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 Free state Bavaria with the population per district.District Fürth is highlighted with a red edge. The numbers at the map represent the following districts: 1: rural district Rhön-Grabfeld, 2: rural district Kronach, 3: independent city district Hof, 4: rural district Hof, 5: rural district Coburg ...Show more... Map of Free state Bavaria with the population per district.District Fürth is highlighted with a red edge. The numbers at the map represent the following districts: 1: rural district Rhön-Grabfeld, 2: rural district Kronach, 3: independent city district Hof, 4: rural district Hof, 5: rural district Coburg, 6: independent city district Coburg, 7: rural district Bad Kissingen, 8: rural district Lichtenfels, 9: rural district Kulmbach, 10: rural district Wunsiedel i. Fichtelgebirge, 11: rural district Haßberge, 12: independent city district Schweinfurt, 13: rural district Schweinfurt, 14: rural district Aschaffenburg, 15: rural district Main-Spessart, 16: independent city district Aschaffenburg, 17: independent city district Bayreuth, 18: rural district Tirschenreuth, 19: rural district Bamberg, 20: independent city district Bamberg, 21: rural district Bayreuth, 22: independent city district Würzburg, 23: rural district Miltenberg, 24: rural district Kitzingen, 25: rural district Würzburg, 26: rural district Forchheim, 27: rural district Neustadt a.d. Waldnaab, 28: independent city district Weiden i.d. OPf., 29: rural district Erlangen-Höchstadt, 30: independent city district Erlangen, 31: rural district Neustadt a.d. Aisch-Bad Windsheim, 32: rural district Nürnberger Land, 33: independent city district Fürth, 34: rural district Amberg-Sulzbach, 35: independent city district Amberg, 36: rural district Fürth, 37: independent city district Nuremberg, 38: rural district Schwandorf, 39: independent city district Schwabach, 40: independent city district Ansbach, 41: rural district Ansbach, 42: rural district Cham, 43: rural district Neumarkt i.d. OPf., 44: rural district Roth, 45: rural district Weißenburg-Gunzenhausen, 46: rural district Regen, 47: rural district Regensburg, 48: independent city district Regensburg, 49: rural district Straubing-Bogen, 50: rural district Eichstätt, 51: independent city district Straubing, 52: rural district Freyung-Grafenau, 53: rural district Kelheim, 54: rural district Donau-Ries, 55: rural district Deggendorf, 56: independent city district Ingolstadt, 57: rural district Neuburg-Schrobenhausen, 58: rural district Dingolfing-Landau, 59: rural district Dillingen a.d. Donau, 60: rural district Pfaffenhofen a.d. Ilm, 61: independent city district Passaw, 62: rural district Passaw, 63: rural district Landshut, 64: independent city district Landshut, 65: rural district Freising, 66: rural district Aichach-Friedberg, 67: rural district Rottal-Inn, 68: rural district Augsburg, 69: rural district Günzburg, 70: independent city district Augsburg, 71: rural district Dachau, 72: rural district Erding, 73: rural district Neu-Ulm, 74: rural district Mühldorf a. Inn, 75: rural district Altötting, 76: rural district Fürstenfeldbruck, 77: independent city district Munich, 78: rural district Ebersberg, 79: rural district Munich, 80: rural district Unterallgäu, 81: rural district Landsberg am Lech, 82: rural district Starnberg, 83: independent city district Memmingen, 84: rural district Traunstein, 85: independent city district Kaufbeuren, 86: rural district Rosenheim, 87: independent city district Rosenheim, 88: rural district Weilheim-Schongau, 89: rural district Ostallgäu, 90: rural district Miesbach, 91: independent city district Kempten (Allgäu), 92: rural district Bad Tölz-Wolfratshausen, 93: rural district Berchtesgadener Land, 94: rural district Lindau (Bodensee), 95: rural district Oberallgäu, 96: rural district Garmisch-Partenkirchen ...Show less...

Population per age group
The percentage of inhabitants per age group in the independent city district Fürth

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Independent city 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 independent city district Fürth

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Independent city 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 independent city district Fürth.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses58Number2017
Active persons9.308Number2017
Gross wages€479.927Euro2017
DwellingsValueUnitYear
Houses 1 room3.208Number2019
Houses 2 rooms7.012Number2019
Houses 3 rooms17.300Number2019
Houses 4 rooms19.098Number2019
Houses 5 rooms8.748Number2019
Houses 6 rooms4.964Number2019
Houses 7+ rooms 4.138Number2019
Houses 1-2 rooms10.220Number2019
Houses 3-4 rooms36.398Number2019
Houses 5+ rooms17.850Number2019
1-2 rooms16%Percentage2019
3-4 rooms56%Percentage2019
5+ rooms28%Percentage2019
ElectionsValueUnitYear
Voters Bundestag86606,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag63.288Number2017
Votes Bundestag CDU/CSU18.146Number2017
Votes Bundestag SPD13.219Number2017
Votes Bundestag GRÜNE7.521Number2017
Votes Bundestag FDP5.778Number2017
Votes Bundestag DIE LINKE6.807Number2017
Votes Bundestag AfD7.501Number2017
Votes Bundestag other parties4.316Number2017
Votes Bundestag total63.288Number2017
% Votes Bundestag CDU/CSU21%Percentage2017
% Votes Bundestag SPD15%Percentage2017
% Votes Bundestag GRÜNE9%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE8%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees57.298Number2019
Employees male30.326Number2019
Employees female26.972Number2019
Employees foreigner11.067Number2019
Employees male foreigner6.619Number2019
Employees female foreigner4.448Number2019
Unemployed3.608Number2018
Unemployed foreigners1.342Number2018
Unemployed severely disabled392Number2018
Unemployed 15-20101Number2018
Unemployed 15-25376Number2018
Unemployed 55-65658Number2018
Unemployed long-term1.203Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers66.610Number2015
Income total€2.614.417Euro2015
Income tax€474.985Euro2015
PopulationValueUnitYear
Population127.748Number2019
Men62.603Number2019
Women65.145Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1820.613Number2019
18-3019.137Number2019
30-4527.286Number2019
45-6029.444Number2019
18-6075.867Number2019
60-7519.292Number2019
60+31.268Number2019
Average age43Average number2019
Average age male41Average number2019
Average age female44Average number2019
Births1.396Number2018
Births male700Number2018
Births female696Number2018
1K Births11Number per 1000 inhabitants2018
Deaths1.360Number2018
Deaths male669Number2018
Deaths female691Number2018
1K Deaths11Number2018
0-34.089Number2019
Girls 0-32.017Number2019
Boys 0-32.072Number2019
3-63.643Number2019
Girls 3-61.752Number2019
Boys 3-61.891Number2019
6-104.252Number2019
10-155.271Number2019
15-183.358Number2019
18-202.608Number2019
20-257.512Number2019
25-309.017Number2019
30-359.499Number2019
35-409.339Number2019
40-458.448Number2019
45-508.976Number2019
50-5510.667Number2019
55-609.801Number2019
60-657.882Number2019
65-7511.410Number2019
Women 65-706.221Number2019
Men 65-705.189Number2019
75+11.976Number2019
Women 75+7.332Number2019
Men 75+4.644Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3015%Percentage2019
% 30-4521%Percentage2019
% 45-6023%Percentage2019
% 60+24%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 code09563Code2019
Region code 8 digits09563Code09563
Sorting code095630000000Code095630000000
Sorting code 8 digits09563000Code09563000
Region nameFürthName2019
Regional level4Categorical type2019
Region typeDistrictCategorical type2019
Region type detailindependent city districtCategorical type2019
Region name with typeindependent city district FürthName2019
Region name in GermanKreisfreie Stadt FürthName2019
Direct subregions1Number2019
NUTS codeDE253Code2019
Area63Area in km²2019
ReligionValueUnitYear
Roman Catholic church28.643Number2011
Protestant church42.914Number2011
Other or none44.056Number2011
% Roman Catholic church25%Percentage2011
% Protestant church37%Percentage2011
% Other or none38%Percentage2011
Roman Catholic church German25.959Number2011
Protestant church German42.486Number2011
Other or none German31.838Number2011
% Roman Catholic church German26%Percentage2011
% Protestant church German42%Percentage2011
% Other or none German Foreign32%Percentage2011
Roman Catholic church Foreign2.684Number2011
Protestant church Foreign428Number2011
Other or none Foreign12.218Number2011
% Roman Catholic church Foreign18%Percentage2011
% Protestant church Foreign3%Percentage2011
% Other or none Foreign80%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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