Information about the rural district Mayen-Koblenz:

Population numbers per year
The number of inhabitants in the rural district Mayen-Koblenz

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Population numbers in the rural district Mayen-Koblenz 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-Koblenz
Map of the district Mayen-Koblenz 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 Mayen-Koblenz with the population per municipality. 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 the district Mayen-Koblenz with the population per municipality. 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 rural district Mayen-Koblenz

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Rural district Mayen-Koblenz, 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 Mayen-Koblenz

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Rural district Mayen-Koblenz, 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 Mayen-Koblenz.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses135Number2017
Active persons14.685Number2017
Gross wages€667.672Euro2017
DwellingsValueUnitYear
Houses 1 room1.764Number2019
Houses 2 rooms6.047Number2019
Houses 3 rooms16.906Number2019
Houses 4 rooms23.710Number2019
Houses 5 rooms21.164Number2019
Houses 6 rooms17.096Number2019
Houses 7+ rooms 21.670Number2019
Houses 1-2 rooms7.811Number2019
Houses 3-4 rooms40.616Number2019
Houses 5+ rooms59.930Number2019
1-2 rooms7%Percentage2019
3-4 rooms37%Percentage2019
5+ rooms55%Percentage2019
ElectionsValueUnitYear
Voters Bundestag166711,00Number2017
Voter turnout Bundestag77Number2017
Votes valid Bundestag126.480Number2017
Votes Bundestag CDU/CSU50.805Number2017
Votes Bundestag SPD30.647Number2017
Votes Bundestag GRÜNE8.083Number2017
Votes Bundestag FDP13.116Number2017
Votes Bundestag DIE LINKE7.222Number2017
Votes Bundestag AfD12.783Number2017
Votes Bundestag other parties3.824Number2017
Votes Bundestag total126.480Number2017
% Votes Bundestag CDU/CSU30%Percentage2017
% Votes Bundestag SPD18%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees83.445Number2019
Employees male44.847Number2019
Employees female38.598Number2019
Employees foreigner6.379Number2019
Employees male foreigner4.249Number2019
Employees female foreigner2.130Number2019
Unemployed3.920Number2018
Unemployed foreigners867Number2018
Unemployed severely disabled225Number2018
Unemployed 15-20107Number2018
Unemployed 15-25469Number2018
Unemployed 55-65912Number2018
Unemployed long-term870Number2018
% Unemployed2%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 receivers103.115Number2015
Income total€3.897.267Euro2015
Income tax€648.154Euro2015
PopulationValueUnitYear
Population214.259Number2019
Men105.746Number2019
Women108.513Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1835.053Number2019
18-3027.662Number2019
30-4537.606Number2019
45-6051.412Number2019
18-60116.680Number2019
60-7538.438Number2019
60+62.526Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female46Average number2019
Births1.966Number2018
Births male1.036Number2018
Births female930Number2018
1K Births9Number per 1000 inhabitants2018
Deaths2.455Number2018
Deaths male1.193Number2018
Deaths female1.262Number2018
1K Deaths11Number2018
0-36.123Number2019
Girls 0-33.000Number2019
Boys 0-33.123Number2019
3-65.763Number2019
Girls 3-62.820Number2019
Boys 3-62.943Number2019
6-107.355Number2019
10-159.601Number2019
15-186.211Number2019
18-204.505Number2019
20-2511.106Number2019
25-3012.051Number2019
30-3512.687Number2019
35-4012.891Number2019
40-4512.028Number2019
45-5014.370Number2019
50-5518.814Number2019
55-6018.228Number2019
60-6515.578Number2019
65-7522.860Number2019
Women 65-7011.799Number2019
Men 65-7011.061Number2019
75+24.088Number2019
Women 75+14.123Number2019
Men 75+9.965Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3013%Percentage2019
% 30-4518%Percentage2019
% 45-6024%Percentage2019
% 60+29%Percentage2019
Real estateValueUnitYear
Property tax A revenue€754.499Euro2018
Property tax B revenue€27.723.798Euro2018
Trade tax actual revenue€89.623.249Euro2018
Property tax A basic amount€227.438Euro2018
Property tax B basic amount€7.185.486Euro2018
Trade tax basic amount€23.351.494Euro2018
Property tax A rate€332Euro2018
Property tax B rate€386Euro2018
Trade tax rate€384Euro2018
Real tax raising force€128.597.398Euro2018
Trade tax levy€15.949.075Euro2018
Trade tax net€73.674.174Euro2018
Community share in income tax€98.263.661Euro2018
Community share in sales tax€14.038.813Euro2018
Tax revenue€224.950.797Euro2018
RegionalValueUnitYear
Region code07137Code2019
Region code 8 digits07137Code07137
Sorting code071370000000Code071370000000
Sorting code 8 digits07137000Code07137000
Region nameMayen-KoblenzName2019
Regional level4Categorical type2019
Region typeDistrictCategorical type2019
Region type detailrural districtCategorical type2019
Region name with typerural district Mayen-KoblenzName2019
Region name in GermanLandkreis Mayen-KoblenzName2019
Direct subregions87Number2019
NUTS codeDEB17Code2019
Area818Area in km²2019
ReligionValueUnitYear
Roman Catholic church133.725Number2011
Protestant church30.670Number2011
Other or none45.913Number2011
% Roman Catholic church64%Percentage2011
% Protestant church15%Percentage2011
% Other or none22%Percentage2011
Roman Catholic church German131.265Number2011
Protestant church German30.311Number2011
Other or none German39.330Number2011
% Roman Catholic church German65%Percentage2011
% Protestant church German15%Percentage2011
% Other or none German Foreign20%Percentage2011
Roman Catholic church Foreign2.460Number2011
Protestant church Foreign359Number2011
Other or none Foreign6.583Number2011
% Roman Catholic church Foreign26%Percentage2011
% Protestant church Foreign4%Percentage2011
% Other or none Foreign70%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.