Information about the municipality city Bendorf:

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

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Population numbers in the municipality city Bendorf 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 Bendorf
Map of Rural district Mayen-Koblenz with the population per municipality.Municipality Bendorf 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 Bendorf 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 Bendorf 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 Bendorf

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Municipality city Bendorf, 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 Bendorf

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Municipality city Bendorf, 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 Bendorf.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses9Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room185Number2019
Houses 2 rooms718Number2019
Houses 3 rooms1.953Number2019
Houses 4 rooms2.301Number2019
Houses 5 rooms1.503Number2019
Houses 6 rooms998Number2019
Houses 7+ rooms 1.217Number2019
Houses 1-2 rooms903Number2019
Houses 3-4 rooms4.254Number2019
Houses 5+ rooms3.718Number2019
1-2 rooms10%Percentage2019
3-4 rooms48%Percentage2019
5+ rooms42%Percentage2019
ElectionsValueUnitYear
Voters Bundestag12378,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag9.057Number2017
Votes Bundestag CDU/CSU3.108Number2017
Votes Bundestag SPD2.224Number2017
Votes Bundestag GRÜNE622Number2017
Votes Bundestag FDP988Number2017
Votes Bundestag DIE LINKE679Number2017
Votes Bundestag AfD1.114Number2017
Votes Bundestag other parties322Number2017
Votes Bundestag total9.057Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD18%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP8%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees6.618Number2019
Employees male3.672Number2019
Employees female2.946Number2019
Employees foreigner804Number2019
Employees male foreigner555Number2019
Employees female foreigner249Number2019
Unemployed377Number2018
Unemployed foreigners119Number2018
Unemployed severely disabled19Number2018
Unemployed 15-208Number2018
Unemployed 15-2543Number2018
Unemployed 55-6572Number2018
Unemployed long-term81Number2018
% 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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers8.208Number2015
Income total€285.733Euro2015
Income tax€46.824Euro2015
PopulationValueUnitYear
Population16.940Number2019
Men8.303Number2019
Women8.637Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-182.948Number2019
18-302.295Number2019
30-453.088Number2019
45-603.945Number2019
18-609.328Number2019
60-752.875Number2019
60+4.664Number2019
Average age44Average number2019
Average age male43Average number2019
Average age female45Average number2019
Births169Number2018
Births male98Number2018
Births female71Number2018
1K Births10Number per 1000 inhabitants2018
Deaths180Number2018
Deaths male93Number2018
Deaths female87Number2018
1K Deaths11Number2018
0-3496Number2019
Girls 0-3220Number2019
Boys 0-3276Number2019
3-6500Number2019
Girls 3-6241Number2019
Boys 3-6259Number2019
6-10633Number2019
10-15816Number2019
15-18503Number2019
18-20401Number2019
20-25940Number2019
25-30954Number2019
30-35984Number2019
35-401.058Number2019
40-451.046Number2019
45-501.239Number2019
50-551.438Number2019
55-601.268Number2019
60-651.128Number2019
65-751.747Number2019
Women 65-70933Number2019
Men 65-70814Number2019
75+1.789Number2019
Women 75+1.058Number2019
Men 75+731Number2019
% 0-1010%Percentage2019
% 10-188%Percentage2019
% 18-3014%Percentage2019
% 30-4518%Percentage2019
% 45-6023%Percentage2019
% 60+28%Percentage2019
Real estateValueUnitYear
Property tax A revenue€8.727Euro2018
Property tax B revenue€1.942.318Euro2018
Trade tax actual revenue€4.225.468Euro2018
Property tax A basic amount€2.727Euro2018
Property tax B basic amount€524.951Euro2018
Trade tax basic amount€1.083.453Euro2018
Property tax A rate€320Euro2018
Property tax B rate€370Euro2018
Trade tax rate€390Euro2018
Real tax raising force€6.844.853Euro2018
Trade tax levy€739.999Euro2018
Trade tax net€3.485.469Euro2018
Community share in income tax€7.040.603Euro2018
Community share in sales tax€741.736Euro2018
Tax revenue€13.887.193Euro2018
RegionalValueUnitYear
Region code071370203203Code2019
Region code 8 digits07137203Code07137203
Sorting code071370203203Code071370203203
Sorting code 8 digits07137203Code07137203
Region nameBendorfName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city BendorfName2019
Region name in GermanGemeinde Stadt BendorfName2019
Direct subregionsno dataNumber2019
NUTS codeDEB17Code2019
Area24Area in km²2019
ReligionValueUnitYear
Roman Catholic church8.506Number2011
Protestant church3.125Number2011
Other or none4.958Number2011
% Roman Catholic church51%Percentage2011
% Protestant church19%Percentage2011
% Other or none30%Percentage2011
Roman Catholic church German8.231Number2011
Protestant church German3.091Number2011
Other or none German3.628Number2011
% Roman Catholic church German55%Percentage2011
% Protestant church German21%Percentage2011
% Other or none German Foreign24%Percentage2011
Roman Catholic church Foreign275Number2011
Protestant church Foreign34Number2011
Other or none Foreign1.330Number2011
% Roman Catholic church Foreign17%Percentage2011
% Protestant church Foreign2%Percentage2011
% Other or none Foreign81%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.