Information about the municipality Münk:

View the information on over 100 topics about the municipality Münk! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Münk! 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 Münk

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

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Municipality Münk, 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 Münk

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Municipality Münk, 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 Münk.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms1Number2019
Houses 3 rooms5Number2019
Houses 4 rooms5Number2019
Houses 5 rooms20Number2019
Houses 6 rooms35Number2019
Houses 7+ rooms 53Number2019
Houses 1-2 rooms1Number2019
Houses 3-4 rooms10Number2019
Houses 5+ rooms108Number2019
1-2 rooms1%Percentage2019
3-4 rooms8%Percentage2019
5+ rooms91%Percentage2019
ElectionsValueUnitYear
Voters Bundestag206,00Number2017
Voter turnout Bundestag84Number2017
Votes valid Bundestag145Number2017
Votes Bundestag CDU/CSU70Number2017
Votes Bundestag SPD34Number2017
Votes Bundestag GRÜNE8Number2017
Votes Bundestag FDP19Number2017
Votes Bundestag DIE LINKE3Number2017
Votes Bundestag AfD10Number2017
Votes Bundestag other parties1Number2017
Votes Bundestag total145Number2017
% Votes Bundestag CDU/CSU34%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP9%Percentage2017
% Votes Bundestag DIE LINKE1%Percentage2017
% Votes Bundestag AfD5%Percentage2017
% Votes Bundestag other parties0%Percentage2017
EmploymentValueUnitYear
Employees94Number2019
Employees male53Number2019
Employees female41Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed4Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term1Number2018
% 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 receivers109Number2015
Income total€3.701Euro2015
Income tax€522Euro2015
PopulationValueUnitYear
Population256Number2019
Men129Number2019
Women127Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1847Number2019
18-3029Number2019
30-4542Number2019
45-6060Number2019
18-60131Number2019
60-7547Number2019
60+78Number2019
Average age45Average number2019
Average age male45Average number2019
Average age female46Average number2019
Births3Number2018
Births male0Number2018
Births female3Number2018
1K Births12Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male1Number2018
Deaths female1Number2018
1K Deaths8Number2018
0-39Number2019
Girls 0-36Number2019
Boys 0-33Number2019
3-68Number2019
Girls 3-65Number2019
Boys 3-63Number2019
6-103Number2019
10-1517Number2019
15-1810Number2019
18-2011Number2019
20-256Number2019
25-3012Number2019
30-358Number2019
35-4016Number2019
40-4518Number2019
45-5015Number2019
50-5524Number2019
55-6021Number2019
60-6515Number2019
65-7532Number2019
Women 65-7017Number2019
Men 65-7015Number2019
75+31Number2019
Women 75+16Number2019
Men 75+15Number2019
% 0-108%Percentage2019
% 10-1811%Percentage2019
% 18-3011%Percentage2019
% 30-4516%Percentage2019
% 45-6023%Percentage2019
% 60+30%Percentage2019
Real estateValueUnitYear
Property tax A revenue€1.159Euro2018
Property tax B revenue€23.660Euro2018
Trade tax actual revenue€-311Euro2018
Property tax A basic amount€386Euro2018
Property tax B basic amount€6.482Euro2018
Trade tax basic amount€-85Euro2018
Property tax A rate€300Euro2018
Property tax B rate€365Euro2018
Trade tax rate€365Euro2018
Real tax raising force€31.585Euro2018
Trade tax levy€-58Euro2018
Trade tax net€-253Euro2018
Community share in income tax€98.352Euro2018
Community share in sales tax€4.346Euro2018
Tax revenue€134.341Euro2018
RegionalValueUnitYear
Region code071375003077Code2019
Region code 8 digits07137077Code07137077
Sorting code071375003077Code071375003077
Sorting code 8 digits07137077Code07137077
Region nameMünkName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality MünkName2019
Region name in GermanGemeinde MünkName2019
Direct subregionsno dataNumber2019
NUTS codeDEB17Code2019
Area5Area in km²2019
ReligionValueUnitYear
Roman Catholic church223Number2011
Protestant church15Number2011
Other or none14Number2011
% Roman Catholic church89%Percentage2011
% Protestant church6%Percentage2011
% Other or none6%Percentage2011
Roman Catholic church German217Number2011
Protestant church German15Number2011
Other or none German14Number2011
% Roman Catholic church German88%Percentage2011
% Protestant church German6%Percentage2011
% Other or none German Foreign6%Percentage2011
Roman Catholic church Foreign6Number2011
Protestant church Foreign0Number2011
Other or none Foreign0Number2011
% Roman Catholic church Foreign100%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign0%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.