Information about the municipality Arft:

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

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

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Municipality Arft, 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 Arft

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Municipality Arft, 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 Arft.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms3Number2019
Houses 3 rooms15Number2019
Houses 4 rooms30Number2019
Houses 5 rooms36Number2019
Houses 6 rooms34Number2019
Houses 7+ rooms 31Number2019
Houses 1-2 rooms3Number2019
Houses 3-4 rooms45Number2019
Houses 5+ rooms101Number2019
1-2 rooms2%Percentage2019
3-4 rooms30%Percentage2019
5+ rooms68%Percentage2019
ElectionsValueUnitYear
Voters Bundestag206,00Number2017
Voter turnout Bundestag84Number2017
Votes valid Bundestag153Number2017
Votes Bundestag CDU/CSU77Number2017
Votes Bundestag SPD36Number2017
Votes Bundestag GRÜNE10Number2017
Votes Bundestag FDP9Number2017
Votes Bundestag DIE LINKE6Number2017
Votes Bundestag AfD9Number2017
Votes Bundestag other parties6Number2017
Votes Bundestag total153Number2017
% Votes Bundestag CDU/CSU37%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD4%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees103Number2019
Employees male57Number2019
Employees female46Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed2Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term0Number2018
% 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 receivers119Number2015
Income total€4.179Euro2015
Income tax€581Euro2015
PopulationValueUnitYear
Population258Number2019
Men126Number2019
Women132Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1827Number2019
18-3031Number2019
30-4526Number2019
45-6085Number2019
18-60142Number2019
60-7544Number2019
60+89Number2019
Average age51Average number2019
Average age male51Average number2019
Average age female51Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deaths7Number2018
Deaths male3Number2018
Deaths female4Number2018
1K Deaths28Number2018
0-32Number2019
Girls 0-31Number2019
Boys 0-31Number2019
3-64Number2019
Girls 3-63Number2019
Boys 3-61Number2019
6-104Number2019
10-1514Number2019
15-183Number2019
18-208Number2019
20-259Number2019
25-3014Number2019
30-355Number2019
35-4010Number2019
40-4511Number2019
45-5017Number2019
50-5535Number2019
55-6033Number2019
60-6525Number2019
65-7519Number2019
Women 65-707Number2019
Men 65-7012Number2019
75+45Number2019
Women 75+27Number2019
Men 75+18Number2019
% 0-104%Percentage2019
% 10-187%Percentage2019
% 18-3012%Percentage2019
% 30-4510%Percentage2019
% 45-6033%Percentage2019
% 60+34%Percentage2019
Real estateValueUnitYear
Property tax A revenue€694Euro2018
Property tax B revenue€20.821Euro2018
Trade tax actual revenue€618Euro2018
Property tax A basic amount€231Euro2018
Property tax B basic amount€5.704Euro2018
Trade tax basic amount€169Euro2018
Property tax A rate€300Euro2018
Property tax B rate€365Euro2018
Trade tax rate€365Euro2018
Real tax raising force€28.409Euro2018
Trade tax levy€116Euro2018
Trade tax net€502Euro2018
Community share in income tax€100.921Euro2018
Community share in sales tax€314Euro2018
Tax revenue€129.528Euro2018
RegionalValueUnitYear
Region code071375003006Code2019
Region code 8 digits07137006Code07137006
Sorting code071375003006Code071375003006
Sorting code 8 digits07137006Code07137006
Region nameArftName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality ArftName2019
Region name in GermanGemeinde ArftName2019
Direct subregionsno dataNumber2019
NUTS codeDEB17Code2019
Area6Area in km²2019
ReligionValueUnitYear
Roman Catholic church220Number2011
Protestant church16Number2011
Other or none40Number2011
% Roman Catholic church80%Percentage2011
% Protestant church6%Percentage2011
% Other or none14%Percentage2011
Roman Catholic church German217Number2011
Protestant church German16Number2011
Other or none German40Number2011
% Roman Catholic church German79%Percentage2011
% Protestant church German6%Percentage2011
% Other or none German Foreign15%Percentage2011
Roman Catholic church Foreign3Number2011
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.