Information about the municipality city Vallendar:

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

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

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Municipality city Vallendar, 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 Vallendar

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Municipality city Vallendar, 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 Vallendar.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room331Number2019
Houses 2 rooms516Number2019
Houses 3 rooms929Number2019
Houses 4 rooms1.091Number2019
Houses 5 rooms858Number2019
Houses 6 rooms590Number2019
Houses 7+ rooms 829Number2019
Houses 1-2 rooms847Number2019
Houses 3-4 rooms2.020Number2019
Houses 5+ rooms2.277Number2019
1-2 rooms16%Percentage2019
3-4 rooms39%Percentage2019
5+ rooms44%Percentage2019
ElectionsValueUnitYear
Voters Bundestag6594,00Number2017
Voter turnout Bundestag73Number2017
Votes valid Bundestag2.948Number2017
Votes Bundestag CDU/CSU1.163Number2017
Votes Bundestag SPD585Number2017
Votes Bundestag GRÜNE268Number2017
Votes Bundestag FDP465Number2017
Votes Bundestag DIE LINKE176Number2017
Votes Bundestag AfD228Number2017
Votes Bundestag other parties63Number2017
Votes Bundestag total2.948Number2017
% Votes Bundestag CDU/CSU18%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD3%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees2.751Number2019
Employees male1.424Number2019
Employees female1.327Number2019
Employees foreigner313Number2019
Employees male foreigner183Number2019
Employees female foreigner130Number2019
Unemployed99Number2018
Unemployed foreigners36Number2018
Unemployed severely disabled2Number2018
Unemployed 15-201Number2018
Unemployed 15-2512Number2018
Unemployed 55-6518Number2018
Unemployed long-term19Number2018
% Unemployed1%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 receivers4.144Number2015
Income total€189.993Euro2015
Income tax€39.343Euro2015
PopulationValueUnitYear
Population8.680Number2019
Men4.241Number2019
Women4.439Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-181.037Number2019
18-301.372Number2019
30-451.280Number2019
45-601.947Number2019
18-604.599Number2019
60-751.512Number2019
60+3.044Number2019
Average age48Average number2019
Average age male46Average number2019
Average age female51Average number2019
Births67Number2018
Births male36Number2018
Births female31Number2018
1K Births8Number per 1000 inhabitants2018
Deaths140Number2018
Deaths male70Number2018
Deaths female70Number2018
1K Deaths17Number2018
0-3205Number2019
Girls 0-3111Number2019
Boys 0-394Number2019
3-6170Number2019
Girls 3-693Number2019
Boys 3-677Number2019
6-10199Number2019
10-15252Number2019
15-18211Number2019
18-20194Number2019
20-25653Number2019
25-30525Number2019
30-35479Number2019
35-40408Number2019
40-45393Number2019
45-50550Number2019
50-55738Number2019
55-60659Number2019
60-65500Number2019
65-751.012Number2019
Women 65-70589Number2019
Men 65-70423Number2019
75+1.532Number2019
Women 75+877Number2019
Men 75+655Number2019
% 0-107%Percentage2019
% 10-185%Percentage2019
% 18-3016%Percentage2019
% 30-4515%Percentage2019
% 45-6022%Percentage2019
% 60+35%Percentage2019
Real estateValueUnitYear
Property tax A revenue€4.506Euro2018
Property tax B revenue€1.150.653Euro2018
Trade tax actual revenue€1.002.408Euro2018
Property tax A basic amount€1.454Euro2018
Property tax B basic amount€302.803Euro2018
Trade tax basic amount€267.309Euro2018
Property tax A rate€310Euro2018
Property tax B rate€380Euro2018
Trade tax rate€375Euro2018
Real tax raising force€2.509.890Euro2018
Trade tax levy€182.572Euro2018
Trade tax net€819.836Euro2018
Community share in income tax€4.627.678Euro2018
Community share in sales tax€437.635Euro2018
Tax revenue€7.392.631Euro2018
RegionalValueUnitYear
Region code071375007226Code2019
Region code 8 digits07137226Code07137226
Sorting code071375007226Code071375007226
Sorting code 8 digits07137226Code07137226
Region nameVallendarName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city VallendarName2019
Region name in GermanGemeinde Stadt VallendarName2019
Direct subregionsno dataNumber2019
NUTS codeDEB17Code2019
Area13Area in km²2019
ReligionValueUnitYear
Roman Catholic church4.676Number2011
Protestant church1.691Number2011
Other or none1.943Number2011
% Roman Catholic church56%Percentage2011
% Protestant church20%Percentage2011
% Other or none23%Percentage2011
Roman Catholic church German4.474Number2011
Protestant church German1.667Number2011
Other or none German1.636Number2011
% Roman Catholic church German58%Percentage2011
% Protestant church German21%Percentage2011
% Other or none German Foreign21%Percentage2011
Roman Catholic church Foreign202Number2011
Protestant church Foreign24Number2011
Other or none Foreign307Number2011
% Roman Catholic church Foreign38%Percentage2011
% Protestant church Foreign5%Percentage2011
% Other or none Foreign58%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.