Information about the municipality city Mayen:

Population numbers per year
The number of inhabitants in the municipality city Mayen

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Population numbers in the municipality city Mayen 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 Mayen
Map of Rural district Mayen-Koblenz with the population per municipality.Municipality Mayen 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 Mayen-Koblenz with the population per municipality.Municipality Mayen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bendorf, 2: municipality city Andernach, 3: municipality Weitersburg, 4: municipality city Weißenthurm, 5: municipality Nickenich ...Show more... Map of Rural district Mayen-Koblenz with the population per municipality.Municipality Mayen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bendorf, 2: municipality city Andernach, 3: municipality Weitersburg, 4: municipality city Weißenthurm, 5: municipality Nickenich, 6: municipality Urmitz, 7: municipality Kaltenengers, 8: municipality Sankt Sebastian, 9: municipality city Vallendar, 10: municipality Niederwerth, 11: municipality Kretz, 12: municipality Bell, 13: municipality Hausten, 14: municipality Kettig, 15: municipality Rieden, 16: municipality city Mülheim-Kärlich, 17: municipality Arft, 18: municipality Volkesfeld, 19: municipality Plaidt, 20: municipality Langscheid, 21: municipality Kruft, 22: municipality Urbar, 23: municipality Siebenbach, 24: municipality Saffig, 25: municipality city Mendig, 26: municipality Acht, 27: municipality Kirchwald, 28: municipality Langenfeld, 29: municipality Ettringen, 30: municipality Welschenbach, 31: municipality Herresbach, 32: municipality Bassenheim, 33: municipality Sankt Johann, 34: municipality Thür, 35: municipality Baar, 36: municipality Ochtendung, 37: municipality Kottenheim, 38: municipality Virneburg, 39: municipality Wolken, 40: municipality Welling, 41: municipality Trimbs, 42: municipality Hirten, 43: municipality Lind, 44: municipality city Mayen, 45: municipality Winningen, 46: municipality Luxem, 47: municipality Nachtsheim, 48: municipality Reudelsterz, 49: municipality Kobern-Gondorf, 50: municipality Lonnig, 51: municipality Kerben, 52: municipality Boos, 53: municipality Weiler, 54: municipality city Polch, 55: municipality Münk, 56: municipality Anschau, 57: municipality Rüber, 58: municipality Ditscheid, 59: municipality Dieblich, 60: municipality Monreal, 61: municipality Einig, 62: municipality Bermel, 63: municipality Gappenach, 64: municipality Waldesch, 65: municipality city Rhens, 66: municipality Niederfell, 67: municipality Kehrig, 68: municipality Gering, 69: municipality Lehmen, 70: municipality Mertloch, 71: municipality Kalt, 72: municipality Gierschnach, 73: municipality Brey, 74: municipality Kollig, 75: municipality Spay, 76: municipality Oberfell, 77: municipality Naunheim, 78: municipality Löf, 79: municipality city Münstermaifeld, 80: municipality Alken, 81: municipality Pillig, 82: municipality Nörtershausen, 83: municipality Hatzenport, 84: municipality Wierschem, 85: municipality Brodenbach, 86: municipality Burgen, 87: municipality Macken ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality city Mayen

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Municipality city Mayen, 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 Mayen

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Municipality city Mayen, 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 Mayen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses19Number2017
Active persons2.206Number2017
Gross wages€91.815Euro2017
DwellingsValueUnitYear
Houses 1 room324Number2019
Houses 2 rooms792Number2019
Houses 3 rooms2.135Number2019
Houses 4 rooms2.806Number2019
Houses 5 rooms1.741Number2019
Houses 6 rooms1.331Number2019
Houses 7+ rooms 1.501Number2019
Houses 1-2 rooms1.116Number2019
Houses 3-4 rooms4.941Number2019
Houses 5+ rooms4.573Number2019
1-2 rooms10%Percentage2019
3-4 rooms46%Percentage2019
5+ rooms43%Percentage2019
ElectionsValueUnitYear
Voters Bundestag14772,00Number2017
Voter turnout Bundestag72Number2017
Votes valid Bundestag10.452Number2017
Votes Bundestag CDU/CSU3.803Number2017
Votes Bundestag SPD2.888Number2017
Votes Bundestag GRÜNE630Number2017
Votes Bundestag FDP1.141Number2017
Votes Bundestag DIE LINKE515Number2017
Votes Bundestag AfD1.226Number2017
Votes Bundestag other parties249Number2017
Votes Bundestag total10.452Number2017
% Votes Bundestag CDU/CSU26%Percentage2017
% Votes Bundestag SPD20%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees6.944Number2019
Employees male3.800Number2019
Employees female3.144Number2019
Employees foreigner635Number2019
Employees male foreigner462Number2019
Employees female foreigner173Number2019
Unemployed620Number2018
Unemployed foreigners174Number2018
Unemployed severely disabled30Number2018
Unemployed 15-2018Number2018
Unemployed 15-2578Number2018
Unemployed 55-65148Number2018
Unemployed long-term167Number2018
% 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 receivers8.932Number2015
Income total€323.366Euro2015
Income tax€52.326Euro2015
PopulationValueUnitYear
Population19.144Number2019
Men9.498Number2019
Women9.646Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-183.075Number2019
18-302.639Number2019
30-453.296Number2019
45-604.274Number2019
18-6010.209Number2019
60-753.534Number2019
60+5.860Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female47Average number2019
Births200Number2018
Births male113Number2018
Births female87Number2018
1K Births10Number per 1000 inhabitants2018
Deaths258Number2018
Deaths male136Number2018
Deaths female122Number2018
1K Deaths13Number2018
0-3567Number2019
Girls 0-3277Number2019
Boys 0-3290Number2019
3-6508Number2019
Girls 3-6249Number2019
Boys 3-6259Number2019
6-10611Number2019
10-15863Number2019
15-18526Number2019
18-20379Number2019
20-251.021Number2019
25-301.239Number2019
30-351.130Number2019
35-401.154Number2019
40-451.012Number2019
45-501.152Number2019
50-551.533Number2019
55-601.589Number2019
60-651.456Number2019
65-752.078Number2019
Women 65-701.087Number2019
Men 65-70991Number2019
75+2.326Number2019
Women 75+1.405Number2019
Men 75+921Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3014%Percentage2019
% 30-4517%Percentage2019
% 45-6022%Percentage2019
% 60+31%Percentage2019
Real estateValueUnitYear
Property tax A revenue€49.433Euro2018
Property tax B revenue€3.148.418Euro2018
Trade tax actual revenue€11.452.813Euro2018
Property tax A basic amount€12.675Euro2018
Property tax B basic amount€740.804Euro2018
Trade tax basic amount€2.759.714Euro2018
Property tax A rate€390Euro2018
Property tax B rate€425Euro2018
Trade tax rate€415Euro2018
Real tax raising force€14.637.694Euro2018
Trade tax levy€1.884.885Euro2018
Trade tax net€9.567.928Euro2018
Community share in income tax€7.765.398Euro2018
Community share in sales tax€2.397.737Euro2018
Tax revenue€22.915.944Euro2018
RegionalValueUnitYear
Region code071370068068Code2019
Region code 8 digits07137068Code07137068
Sorting code071370068068Code071370068068
Sorting code 8 digits07137068Code07137068
Region nameMayenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city MayenName2019
Region name in GermanGemeinde Stadt MayenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB17Code2019
Area58Area in km²2019
ReligionValueUnitYear
Roman Catholic church12.116Number2011
Protestant church2.672Number2011
Other or none3.817Number2011
% Roman Catholic church65%Percentage2011
% Protestant church14%Percentage2011
% Other or none21%Percentage2011
Roman Catholic church German11.919Number2011
Protestant church German2.630Number2011
Other or none German3.177Number2011
% Roman Catholic church German67%Percentage2011
% Protestant church German15%Percentage2011
% Other or none German Foreign18%Percentage2011
Roman Catholic church Foreign197Number2011
Protestant church Foreign42Number2011
Other or none Foreign640Number2011
% Roman Catholic church Foreign22%Percentage2011
% Protestant church Foreign5%Percentage2011
% Other or none Foreign73%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.