Information about the municipality Niederfell:

Population numbers per year
The number of inhabitants in the municipality Niederfell

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

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

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

Municipality Niederfell, 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 Niederfell

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

Municipality Niederfell, 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 Niederfell.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room5Number2019
Houses 2 rooms14Number2019
Houses 3 rooms48Number2019
Houses 4 rooms91Number2019
Houses 5 rooms87Number2019
Houses 6 rooms77Number2019
Houses 7+ rooms 69Number2019
Houses 1-2 rooms19Number2019
Houses 3-4 rooms139Number2019
Houses 5+ rooms233Number2019
1-2 rooms5%Percentage2019
3-4 rooms36%Percentage2019
5+ rooms60%Percentage2019
ElectionsValueUnitYear
Voters Bundestag847,00Number2017
Voter turnout Bundestag52Number2017
Votes valid Bundestag323Number2017
Votes Bundestag CDU/CSU111Number2017
Votes Bundestag SPD97Number2017
Votes Bundestag GRÜNE25Number2017
Votes Bundestag FDP34Number2017
Votes Bundestag DIE LINKE22Number2017
Votes Bundestag AfD24Number2017
Votes Bundestag other parties10Number2017
Votes Bundestag total323Number2017
% Votes Bundestag CDU/CSU13%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD3%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees442Number2019
Employees male187Number2019
Employees female255Number2019
Employees foreigner24Number2019
Employees male foreigner12Number2019
Employees female foreigner12Number2019
Unemployed20Number2018
Unemployed foreigners4Number2018
Unemployed severely disabled1Number2018
Unemployed 15-201Number2018
Unemployed 15-252Number2018
Unemployed 55-654Number2018
Unemployed long-term5Number2018
% 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 receivers523Number2015
Income total€13.231Euro2015
Income tax€2.031Euro2015
PopulationValueUnitYear
Population1.019Number2019
Men410Number2019
Women609Number2019
% Men40%Percentage2019
% Women60%Percentage2019
0-18123Number2019
18-30127Number2019
30-45145Number2019
45-60286Number2019
18-60558Number2019
60-75205Number2019
60+338Number2019
Average age49Average number2019
Average age male45Average number2019
Average age female51Average number2019
Births3Number2018
Births male0Number2018
Births female3Number2018
1K Births3Number per 1000 inhabitants2018
Deaths15Number2018
Deaths male4Number2018
Deaths female11Number2018
1K Deaths14Number2018
0-315Number2019
Girls 0-39Number2019
Boys 0-36Number2019
3-613Number2019
Girls 3-66Number2019
Boys 3-67Number2019
6-1026Number2019
10-1536Number2019
15-1833Number2019
18-2022Number2019
20-2553Number2019
25-3052Number2019
30-3551Number2019
35-4043Number2019
40-4551Number2019
45-5075Number2019
50-55103Number2019
55-60108Number2019
60-6578Number2019
65-75127Number2019
Women 65-7085Number2019
Men 65-7042Number2019
75+133Number2019
Women 75+90Number2019
Men 75+43Number2019
% 0-105%Percentage2019
% 10-187%Percentage2019
% 18-3012%Percentage2019
% 30-4514%Percentage2019
% 45-6028%Percentage2019
% 60+33%Percentage2019
Real estateValueUnitYear
Property tax A revenue€5.358Euro2018
Property tax B revenue€89.649Euro2018
Trade tax actual revenue€57.801Euro2018
Property tax A basic amount€1.786Euro2018
Property tax B basic amount€24.561Euro2018
Trade tax basic amount€15.836Euro2018
Property tax A rate€300Euro2018
Property tax B rate€365Euro2018
Trade tax rate€365Euro2018
Real tax raising force€185.739Euro2018
Trade tax levy€10.816Euro2018
Trade tax net€46.985Euro2018
Community share in income tax€353.957Euro2018
Community share in sales tax€67.300Euro2018
Tax revenue€596.180Euro2018
RegionalValueUnitYear
Region code071375009217Code2019
Region code 8 digits07137217Code07137217
Sorting code071375009217Code071375009217
Sorting code 8 digits07137217Code07137217
Region nameNiederfellName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality NiederfellName2019
Region name in GermanGemeinde NiederfellName2019
Direct subregionsno dataNumber2019
NUTS codeDEB17Code2019
Area12Area in km²2019
ReligionValueUnitYear
Roman Catholic church807Number2011
Protestant church94Number2011
Other or none162Number2011
% Roman Catholic church76%Percentage2011
% Protestant church9%Percentage2011
% Other or none15%Percentage2011
Roman Catholic church German792Number2011
Protestant church German94Number2011
Other or none German146Number2011
% Roman Catholic church German77%Percentage2011
% Protestant church German9%Percentage2011
% Other or none German Foreign14%Percentage2011
Roman Catholic church Foreign15Number2011
Protestant church Foreign0Number2011
Other or none Foreign16Number2011
% Roman Catholic church Foreign48%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign52%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.