Information about the municipality city Ulmen:

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

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Population numbers in the municipality city Ulmen 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 Ulmen
Map of Rural district Cochem-Zell with the population per municipality.Municipality Ulmen 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 Cochem-Zell with the population per municipality.Municipality Ulmen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Kalenborn, 2: municipality Düngenheim, 3: municipality Urmersbach, 4: municipality Hauroth, 5: municipality Kaifenheim ...Show more... Map of Rural district Cochem-Zell with the population per municipality.Municipality Ulmen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Kalenborn, 2: municipality Düngenheim, 3: municipality Urmersbach, 4: municipality Hauroth, 5: municipality Kaifenheim, 6: municipality Gamlen, 7: municipality Eppenberg, 8: municipality Eulgem, 9: municipality Roes, 10: municipality Masburg, 11: municipality city Kaisersesch, 12: municipality Laubach, 13: municipality Brachtendorf, 14: municipality Zettingen, 15: municipality Hambuch, 16: municipality Forst (Eifel), 17: municipality Möntenich, 18: municipality Müllenbach, 19: municipality Dünfus, 20: municipality Brohl, 21: municipality Leienkaul, 22: municipality city Ulmen, 23: municipality Binningen, 24: municipality Illerich, 25: municipality Landkern, 26: municipality Moselkern, 27: municipality Wirfus, 28: municipality Auderath, 29: municipality Brieden, 30: municipality Müden (Mosel), 31: municipality Kail, 32: municipality Greimersburg, 33: municipality Alflen, 34: municipality Büchel, 35: municipality Pommerland, 36: municipality Filz, 37: municipality Klotten, 38: municipality Schmitt, 39: municipality Treis-Karden, 40: municipality Lütz, 41: municipality Wollmerath, 42: municipality Gevenich, 43: municipality Valwig, 44: municipality Gillenbeuren, 45: municipality Faid, 46: municipality city Cochem, 47: municipality Wagenhausen, 48: municipality Lieg, 49: municipality Weiler, 50: municipality Ernst, 51: municipality Bruttig-Fankel, 52: municipality Dohr, 53: municipality Lutzerath, 54: municipality Urschmitt, 55: municipality Ellenz-Poltersdorf, 56: municipality Briedern, 57: municipality Ediger-Eller, 58: municipality Kliding, 59: municipality Beilstein, 60: municipality Bremm, 61: municipality Mesenich, 62: municipality Altstrimmig, 63: municipality Beuren, 64: municipality Nehren, 65: municipality Bad Bertrich, 66: municipality Forst (Hunsrück), 67: municipality Senheim, 68: municipality Neef, 69: municipality Sankt Aldegund, 70: municipality Liesenich, 71: municipality Sosberg, 72: municipality Mittelstrimmig, 73: municipality Alf, 74: municipality Bullay, 75: municipality Grenderich, 76: municipality Moritzheim, 77: municipality Reidenhausen, 78: municipality Hesweiler, 79: municipality Blankenrath, 80: municipality Pünderich, 81: municipality Haserich, 82: municipality Tellig, 83: municipality Schauren, 84: municipality city Zell (Mosel), 85: municipality Walhausen, 86: municipality Panzweiler, 87: municipality Peterswald-Löffelscheid, 88: municipality Briedel, 89: municipality Altlay ...Show less...

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

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Municipality city Ulmen, 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 Ulmen

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Municipality city Ulmen, 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 Ulmen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses3Number2017
Active persons124Number2017
Gross wages€4.776Euro2017
DwellingsValueUnitYear
Houses 1 room6Number2019
Houses 2 rooms69Number2019
Houses 3 rooms173Number2019
Houses 4 rooms358Number2019
Houses 5 rooms324Number2019
Houses 6 rooms299Number2019
Houses 7+ rooms 368Number2019
Houses 1-2 rooms75Number2019
Houses 3-4 rooms531Number2019
Houses 5+ rooms991Number2019
1-2 rooms5%Percentage2019
3-4 rooms33%Percentage2019
5+ rooms62%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2556,00Number2017
Voter turnout Bundestag63Number2017
Votes valid Bundestag1.255Number2017
Votes Bundestag CDU/CSU587Number2017
Votes Bundestag SPD239Number2017
Votes Bundestag GRÜNE37Number2017
Votes Bundestag FDP140Number2017
Votes Bundestag DIE LINKE57Number2017
Votes Bundestag AfD175Number2017
Votes Bundestag other parties20Number2017
Votes Bundestag total1.255Number2017
% Votes Bundestag CDU/CSU23%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE2%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees1.208Number2019
Employees male647Number2019
Employees female561Number2019
Employees foreigner75Number2019
Employees male foreigner55Number2019
Employees female foreigner20Number2019
Unemployed60Number2018
Unemployed foreigners6Number2018
Unemployed severely disabled3Number2018
Unemployed 15-202Number2018
Unemployed 15-258Number2018
Unemployed 55-6520Number2018
Unemployed long-term21Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.516Number2015
Income total€49.178Euro2015
Income tax€7.166Euro2015
PopulationValueUnitYear
Population3.335Number2019
Men1.663Number2019
Women1.672Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18630Number2019
18-30426Number2019
30-45586Number2019
45-60759Number2019
18-601.771Number2019
60-75530Number2019
60+934Number2019
Average age44Average number2019
Average age male42Average number2019
Average age female45Average number2019
Births41Number2018
Births male22Number2018
Births female19Number2018
1K Births12Number per 1000 inhabitants2018
Deaths60Number2018
Deaths male29Number2018
Deaths female31Number2018
1K Deaths18Number2018
0-3118Number2019
Girls 0-354Number2019
Boys 0-364Number2019
3-6102Number2019
Girls 3-658Number2019
Boys 3-644Number2019
6-10130Number2019
10-15170Number2019
15-18110Number2019
18-2059Number2019
20-25168Number2019
25-30199Number2019
30-35228Number2019
35-40187Number2019
40-45171Number2019
45-50215Number2019
50-55282Number2019
55-60262Number2019
60-65233Number2019
65-75297Number2019
Women 65-70161Number2019
Men 65-70136Number2019
75+404Number2019
Women 75+239Number2019
Men 75+165Number2019
% 0-1010%Percentage2019
% 10-188%Percentage2019
% 18-3013%Percentage2019
% 30-4518%Percentage2019
% 45-6023%Percentage2019
% 60+28%Percentage2019
Real estateValueUnitYear
Property tax A revenue€10.202Euro2018
Property tax B revenue€461.025Euro2018
Trade tax actual revenue€1.602.278Euro2018
Property tax A basic amount€2.685Euro2018
Property tax B basic amount€121.322Euro2018
Trade tax basic amount€421.652Euro2018
Property tax A rate€380Euro2018
Property tax B rate€380Euro2018
Trade tax rate€380Euro2018
Real tax raising force€2.277.436Euro2018
Trade tax levy€287.988Euro2018
Trade tax net€1.314.290Euro2018
Community share in income tax€1.074.348Euro2018
Community share in sales tax€202.807Euro2018
Tax revenue€3.266.603Euro2018
RegionalValueUnitYear
Region code071355003083Code2019
Region code 8 digits07135083Code07135083
Sorting code071355003083Code071355003083
Sorting code 8 digits07135083Code07135083
Region nameUlmenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city UlmenName2019
Region name in GermanGemeinde Stadt UlmenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB1CCode2019
Area29Area in km²2019
ReligionValueUnitYear
Roman Catholic church1.984Number2011
Protestant church564Number2011
Other or none772Number2011
% Roman Catholic church60%Percentage2011
% Protestant church17%Percentage2011
% Other or none23%Percentage2011
Roman Catholic church German1.966Number2011
Protestant church German549Number2011
Other or none German697Number2011
% Roman Catholic church German61%Percentage2011
% Protestant church German17%Percentage2011
% Other or none German Foreign22%Percentage2011
Roman Catholic church Foreign18Number2011
Protestant church Foreign15Number2011
Other or none Foreign75Number2011
% Roman Catholic church Foreign17%Percentage2011
% Protestant church Foreign14%Percentage2011
% Other or none Foreign69%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.