Information about the municipality city Erlangen:

View the information on over 100 topics about the municipality city Erlangen! 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 Erlangen! 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 Erlangen

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Population numbers in the municipality city Erlangen 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 Erlangen
Map of Free state Bavaria with the population per district.Municipality (also district) Erlangen 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.Municipality (also district) Erlangen is highlighted with a red edge. The numbers at the map represent the following municipalities: 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.Municipality (also district) Erlangen is highlighted with a red edge. The numbers at the map represent the following municipalities: 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 municipality city Erlangen

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Municipality city Erlangen, 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 Erlangen

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Municipality city Erlangen, 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 Erlangen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses43Number2017
Active persons30.268Number2017
Gross wages€2.170.825Euro2017
DwellingsValueUnitYear
Houses 1 room9.678Number2019
Houses 2 rooms8.101Number2019
Houses 3 rooms12.493Number2019
Houses 4 rooms15.873Number2019
Houses 5 rooms8.180Number2019
Houses 6 rooms5.063Number2019
Houses 7+ rooms 5.353Number2019
Houses 1-2 rooms17.779Number2019
Houses 3-4 rooms28.366Number2019
Houses 5+ rooms18.596Number2019
1-2 rooms27%Percentage2019
3-4 rooms44%Percentage2019
5+ rooms29%Percentage2019
ElectionsValueUnitYear
Voters Bundestag77280,00Number2017
Voter turnout Bundestag80Number2017
Votes valid Bundestag61.897Number2017
Votes Bundestag CDU/CSU19.604Number2017
Votes Bundestag SPD10.997Number2017
Votes Bundestag GRÜNE10.056Number2017
Votes Bundestag FDP6.569Number2017
Votes Bundestag DIE LINKE5.779Number2017
Votes Bundestag AfD4.982Number2017
Votes Bundestag other parties3.910Number2017
Votes Bundestag total61.897Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD14%Percentage2017
% Votes Bundestag GRÜNE13%Percentage2017
% Votes Bundestag FDP9%Percentage2017
% Votes Bundestag DIE LINKE7%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees48.502Number2019
Employees male26.873Number2019
Employees female21.629Number2019
Employees foreigner9.337Number2019
Employees male foreigner5.675Number2019
Employees female foreigner3.662Number2019
Unemployed2.305Number2018
Unemployed foreigners858Number2018
Unemployed severely disabled266Number2018
Unemployed 15-2048Number2018
Unemployed 15-25235Number2018
Unemployed 55-65481Number2018
Unemployed long-term813Number2018
% Unemployed2%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 receivers59.698Number2015
Income total€2.729.928Euro2015
Income tax€560.166Euro2015
PopulationValueUnitYear
Population111.962Number2019
Men55.864Number2019
Women56.098Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1817.677Number2019
18-3023.112Number2019
30-4523.250Number2019
45-6022.404Number2019
18-6068.766Number2019
60-7514.604Number2019
60+25.519Number2019
Average age41Average number2019
Average age male40Average number2019
Average age female43Average number2019
Births1.108Number2018
Births male566Number2018
Births female542Number2018
1K Births10Number per 1000 inhabitants2018
Deaths1.114Number2018
Deaths male536Number2018
Deaths female578Number2018
1K Deaths10Number2018
0-33.357Number2019
Girls 0-31.631Number2019
Boys 0-31.726Number2019
3-63.143Number2019
Girls 3-61.554Number2019
Boys 3-61.589Number2019
6-103.738Number2019
10-154.655Number2019
15-182.784Number2019
18-202.385Number2019
20-259.424Number2019
25-3011.303Number2019
30-359.228Number2019
35-407.766Number2019
40-456.256Number2019
45-506.824Number2019
50-558.169Number2019
55-607.411Number2019
60-655.734Number2019
65-758.870Number2019
Women 65-704.797Number2019
Men 65-704.073Number2019
75+10.915Number2019
Women 75+6.531Number2019
Men 75+4.384Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3021%Percentage2019
% 30-4521%Percentage2019
% 45-6020%Percentage2019
% 60+23%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 code095620000000Code2019
Region code 8 digits09562000Code09562000
Sorting code095620000000Code095620000000
Sorting code 8 digits09562000Code09562000
Region nameErlangenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city ErlangenName2019
Region name in GermanGemeinde Stadt ErlangenName2019
Direct subregionsno dataNumber2019
NUTS codeDE252Code2019
Area77Area in km²2019
ReligionValueUnitYear
Roman Catholic church32.184Number2011
Protestant church34.370Number2011
Other or none37.166Number2011
% Roman Catholic church31%Percentage2011
% Protestant church33%Percentage2011
% Other or none36%Percentage2011
Roman Catholic church German29.618Number2011
Protestant church German33.912Number2011
Other or none German27.813Number2011
% Roman Catholic church German32%Percentage2011
% Protestant church German37%Percentage2011
% Other or none German Foreign30%Percentage2011
Roman Catholic church Foreign2.566Number2011
Protestant church Foreign458Number2011
Other or none Foreign9.353Number2011
% Roman Catholic church Foreign21%Percentage2011
% Protestant church Foreign4%Percentage2011
% Other or none Foreign76%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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