Information about the municipality Sankt Sebastian:

Population numbers per year
The number of inhabitants in the municipality Sankt Sebastian

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

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Municipality Sankt Sebastian, 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 Sankt Sebastian

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Municipality Sankt Sebastian, 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 Sankt Sebastian.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room21Number2019
Houses 2 rooms107Number2019
Houses 3 rooms241Number2019
Houses 4 rooms384Number2019
Houses 5 rooms284Number2019
Houses 6 rooms143Number2019
Houses 7+ rooms 139Number2019
Houses 1-2 rooms128Number2019
Houses 3-4 rooms625Number2019
Houses 5+ rooms566Number2019
1-2 rooms10%Percentage2019
3-4 rooms47%Percentage2019
5+ rooms43%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1999,00Number2017
Voter turnout Bundestag67Number2017
Votes valid Bundestag987Number2017
Votes Bundestag CDU/CSU350Number2017
Votes Bundestag SPD281Number2017
Votes Bundestag GRÜNE51Number2017
Votes Bundestag FDP73Number2017
Votes Bundestag DIE LINKE83Number2017
Votes Bundestag AfD109Number2017
Votes Bundestag other parties40Number2017
Votes Bundestag total987Number2017
% Votes Bundestag CDU/CSU18%Percentage2017
% Votes Bundestag SPD14%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD5%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees1.099Number2019
Employees male592Number2019
Employees female507Number2019
Employees foreigner100Number2019
Employees male foreigner63Number2019
Employees female foreigner37Number2019
Unemployed52Number2018
Unemployed foreigners8Number2018
Unemployed severely disabled2Number2018
Unemployed 15-201Number2018
Unemployed 15-254Number2018
Unemployed 55-6511Number2018
Unemployed long-term15Number2018
% 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-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.302Number2015
Income total€43.968Euro2015
Income tax€6.657Euro2015
PopulationValueUnitYear
Population2.630Number2019
Men1.282Number2019
Women1.348Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18428Number2019
18-30353Number2019
30-45503Number2019
45-60598Number2019
18-601.454Number2019
60-75452Number2019
60+748Number2019
Average age44Average number2019
Average age male43Average number2019
Average age female46Average number2019
Births34Number2018
Births male24Number2018
Births female10Number2018
1K Births13Number per 1000 inhabitants2018
Deaths34Number2018
Deaths male17Number2018
Deaths female17Number2018
1K Deaths13Number2018
0-384Number2019
Girls 0-335Number2019
Boys 0-349Number2019
3-683Number2019
Girls 3-640Number2019
Boys 3-643Number2019
6-1097Number2019
10-15104Number2019
15-1860Number2019
18-2044Number2019
20-25129Number2019
25-30180Number2019
30-35163Number2019
35-40182Number2019
40-45158Number2019
45-50172Number2019
50-55211Number2019
55-60215Number2019
60-65194Number2019
65-75258Number2019
Women 65-70136Number2019
Men 65-70122Number2019
75+296Number2019
Women 75+183Number2019
Men 75+113Number2019
% 0-1010%Percentage2019
% 10-186%Percentage2019
% 18-3013%Percentage2019
% 30-4519%Percentage2019
% 45-6023%Percentage2019
% 60+28%Percentage2019
Real estateValueUnitYear
Property tax A revenue€3.439Euro2018
Property tax B revenue€288.122Euro2018
Trade tax actual revenue€270.065Euro2018
Property tax A basic amount€1.146Euro2018
Property tax B basic amount€78.938Euro2018
Trade tax basic amount€73.990Euro2018
Property tax A rate€300Euro2018
Property tax B rate€365Euro2018
Trade tax rate€365Euro2018
Real tax raising force€674.217Euro2018
Trade tax levy€50.536Euro2018
Trade tax net€219.529Euro2018
Community share in income tax€1.221.692Euro2018
Community share in sales tax€32.359Euro2018
Tax revenue€1.877.732Euro2018
RegionalValueUnitYear
Region code071375008222Code2019
Region code 8 digits07137222Code07137222
Sorting code071375008222Code071375008222
Sorting code 8 digits07137222Code07137222
Region nameSankt SebastianName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality Sankt SebastianName2019
Region name in GermanGemeinde Sankt SebastianName2019
Direct subregionsno dataNumber2019
NUTS codeDEB17Code2019
Area3Area in km²2019
ReligionValueUnitYear
Roman Catholic church1.461Number2011
Protestant church312Number2011
Other or none694Number2011
% Roman Catholic church59%Percentage2011
% Protestant church13%Percentage2011
% Other or none28%Percentage2011
Roman Catholic church German1.433Number2011
Protestant church German306Number2011
Other or none German521Number2011
% Roman Catholic church German63%Percentage2011
% Protestant church German14%Percentage2011
% Other or none German Foreign23%Percentage2011
Roman Catholic church Foreign28Number2011
Protestant church Foreign6Number2011
Other or none Foreign173Number2011
% Roman Catholic church Foreign14%Percentage2011
% Protestant church Foreign3%Percentage2011
% Other or none Foreign84%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.