Information about the municipality Hoffeld:

Information about the municipality Hoffeld:

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

One moment please, your device is loading the charts...

Population numbers in the municipality Hoffeld 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 Hoffeld
Map of Rural district Ahrweiler with the population per municipality.Municipality Hoffeld 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 Ahrweiler with the population per municipality.Municipality Hoffeld is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Remagen, 2: municipality Grafschaft, 3: municipality Kalenborn, 4: municipality Berg, 5: municipality city Bad Neuenahr-Ahrweiler ...Show more... Map of Rural district Ahrweiler with the population per municipality.Municipality Hoffeld is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Remagen, 2: municipality Grafschaft, 3: municipality Kalenborn, 4: municipality Berg, 5: municipality city Bad Neuenahr-Ahrweiler, 6: municipality city Sinzig, 7: municipality Dernau, 8: municipality Mayschoß, 9: municipality Altenahr, 10: municipality Kirchsahr, 11: municipality Rech, 12: municipality city Bad Breisig, 13: municipality Königsfeld, 14: municipality Lind, 15: municipality Schalkenbach, 16: municipality Ahrbrück, 17: municipality Waldorf, 18: municipality Gönnersdorf, 19: municipality Dedenbach, 20: municipality Brohl-Lützing, 21: municipality Hümmel, 22: municipality Kesseling, 23: municipality Hönningen, 24: municipality Oberdürenbach, 25: municipality Harscheid, 26: municipality Sierscheid, 27: municipality Burgbrohl, 28: municipality Niederzissen, 29: municipality Oberzissen, 30: municipality Heckenbach, 31: municipality Niederdürenbach, 32: municipality Schuld, 33: municipality Wershofen, 34: municipality Ohlenhard, 35: municipality Spessart, 36: municipality Insul, 37: municipality Galenberg, 38: municipality Wassenach, 39: municipality Dümpelfeld, 40: municipality Brenk, 41: municipality Winnerath, 42: municipality Eichenbach, 43: municipality Fuchshofen, 44: municipality Wehr, 45: municipality Kempenich, 46: municipality Glees, 47: municipality Aremberg, 48: municipality Kaltenborn, 49: municipality Hohenleimbach, 50: municipality Reifferscheid, 51: municipality Leimbach, 52: municipality Weibern, 53: municipality Antweiler, 54: municipality Rodder, 55: municipality Dorsel, 56: municipality Müsch, 57: municipality Honerath, 58: municipality city Adenau, 59: municipality Wirft, 60: municipality Hoffeld, 61: municipality Wimbach, 62: municipality Herschbroich, 63: municipality Barweiler, 64: municipality Kottenborn, 65: municipality Trierscheid, 66: municipality Quiddelbach, 67: municipality Pomster, 68: municipality Meuspath, 69: municipality Nürburg, 70: municipality Dankerath, 71: municipality Wiesemscheid, 72: municipality Senscheid, 73: municipality Bauler, 74: municipality Müllenbach ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Hoffeld

One moment please, your device is loading the charts...

Municipality Hoffeld, 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 Hoffeld

One moment please, your device is loading the charts...

Municipality Hoffeld, 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 Hoffeld.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms4Number2019
Houses 3 rooms5Number2019
Houses 4 rooms38Number2019
Houses 5 rooms38Number2019
Houses 6 rooms42Number2019
Houses 7+ rooms 40Number2019
Houses 1-2 rooms4Number2019
Houses 3-4 rooms43Number2019
Houses 5+ rooms120Number2019
1-2 rooms2%Percentage2019
3-4 rooms26%Percentage2019
5+ rooms72%Percentage2019
ElectionsValueUnitYear
Voters Bundestag242,00Number2017
Voter turnout Bundestag74Number2017
Votes valid Bundestag139Number2017
Votes Bundestag CDU/CSU78Number2017
Votes Bundestag SPD21Number2017
Votes Bundestag GRÜNE3Number2017
Votes Bundestag FDP17Number2017
Votes Bundestag DIE LINKE6Number2017
Votes Bundestag AfD11Number2017
Votes Bundestag other parties3Number2017
Votes Bundestag total139Number2017
% Votes Bundestag CDU/CSU32%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE2%Percentage2017
% Votes Bundestag AfD5%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees111Number2019
Employees male62Number2019
Employees female49Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed5Number2018
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 receivers139Number2015
Income total€4.954Euro2015
Income tax€684Euro2015
PopulationValueUnitYear
Population278Number2019
Men145Number2019
Women133Number2019
% Men52%Percentage2019
% Women48%Percentage2019
0-1828Number2019
18-3035Number2019
30-4536Number2019
45-6075Number2019
18-60146Number2019
60-7567Number2019
60+104Number2019
Average age50Average number2019
Average age male52Average number2019
Average age female48Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deaths4Number2018
Deaths male2Number2018
Deaths female2Number2018
1K Deaths14Number2018
0-35Number2019
Girls 0-33Number2019
Boys 0-32Number2019
3-64Number2019
Girls 3-63Number2019
Boys 3-61Number2019
6-105Number2019
10-157Number2019
15-187Number2019
18-2011Number2019
20-2510Number2019
25-3014Number2019
30-3512Number2019
35-4013Number2019
40-4511Number2019
45-5018Number2019
50-5534Number2019
55-6023Number2019
60-6533Number2019
65-7534Number2019
Women 65-7016Number2019
Men 65-7018Number2019
75+37Number2019
Women 75+16Number2019
Men 75+21Number2019
% 0-105%Percentage2019
% 10-185%Percentage2019
% 18-3013%Percentage2019
% 30-4513%Percentage2019
% 45-6027%Percentage2019
% 60+37%Percentage2019
Real estateValueUnitYear
Property tax A revenue€2.850Euro2018
Property tax B revenue€25.423Euro2018
Trade tax actual revenue€4.607Euro2018
Property tax A basic amount€905Euro2018
Property tax B basic amount€6.277Euro2018
Trade tax basic amount€1.152Euro2018
Property tax A rate€315Euro2018
Property tax B rate€405Euro2018
Trade tax rate€400Euro2018
Real tax raising force€37.350Euro2018
Trade tax levy€787Euro2018
Trade tax net€3.820Euro2018
Community share in income tax€110.279Euro2018
Community share in sales tax€373Euro2018
Tax revenue€147.215Euro2018
RegionalValueUnitYear
Region code071315001030Code2019
Region code 8 digits07131030Code07131030
Sorting code071315001030Code071315001030
Sorting code 8 digits07131030Code07131030
Region nameHoffeldName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality HoffeldName2019
Region name in GermanGemeinde HoffeldName2019
Direct subregionsno dataNumber2019
NUTS codeDEB12Code2019
Area5Area in km²2019
ReligionValueUnitYear
Roman Catholic church265Number2011
Protestant church9Number2011
Other or none19Number2011
% Roman Catholic church90%Percentage2011
% Protestant church3%Percentage2011
% Other or none6%Percentage2011
Roman Catholic church German265Number2011
Protestant church German9Number2011
Other or none German15Number2011
% Roman Catholic church German92%Percentage2011
% Protestant church German3%Percentage2011
% Other or none German Foreign5%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign4Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign100%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.