Information about the municipality Sankt Alban:

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

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Population numbers in the municipality Sankt Alban 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 Alban
Map of Rural district Donnersbergkreis with the population per municipality.Municipality Sankt Alban 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 Donnersbergkreis with the population per municipality.Municipality Sankt Alban is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Winterborn, 2: municipality Niederhausen an der Appel, 3: municipality Niedermoschel, 4: municipality Mörsfeld, 5: municipality Kalkofen ...Show more... Map of Rural district Donnersbergkreis with the population per municipality.Municipality Sankt Alban is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Winterborn, 2: municipality Niederhausen an der Appel, 3: municipality Niedermoschel, 4: municipality Mörsfeld, 5: municipality Kalkofen, 6: municipality Münsterappel, 7: municipality city Obermoschel, 8: municipality Alsenz, 9: municipality Oberhausen an der Appel, 10: municipality Unkenbach, 11: municipality Sitters, 12: municipality Oberndorf, 13: municipality Gaugrehweiler, 14: municipality Kriegsfeld, 15: municipality Oberwiesen, 16: municipality Morschheim, 17: municipality Schiersfeld, 18: municipality Mannweiler-Cölln, 19: municipality Ilbesheim, 20: municipality Orbis, 21: municipality Sankt Alban, 22: municipality Finkenbach-Gersweiler, 23: municipality Bayerfeld-Steckweiler, 24: municipality Gerbach, 25: municipality Stetten, 26: municipality Bischheim, 27: municipality Rittersheim, 28: municipality Dielkirchen, 29: municipality city Kirchheimbolanden, 30: municipality Stahlberg, 31: municipality Waldgrehweiler, 32: municipality Einselthum, 33: municipality Gauersheim, 34: municipality Ransweiler, 35: municipality Ruppertsecken, 36: municipality Würzweiler, 37: municipality Katzenbach, 38: municipality Albisheim (Pfrimm), 39: municipality Bisterschied, 40: municipality Schönborn, 41: municipality Zellertal, 42: municipality Bolanden, 43: municipality Immesheim, 44: municipality Teschenmoschel, 45: municipality Dannenfels, 46: municipality Bubenheim, 47: municipality city Rockenhausen, 48: municipality Ottersheim, 49: municipality Bennhausen, 50: municipality Marnheim, 51: municipality Dörrmoschel, 52: municipality Rüssingen, 53: municipality Jakobsweiler, 54: municipality Rathskirchen, 55: municipality Weitersweiler, 56: municipality Falkenstein, 57: municipality Biedesheim, 58: municipality Imsweiler, 59: municipality Steinbach am Donnersberg, 60: municipality Seelen, 61: municipality Dreisen, 62: municipality Standenbühl, 63: municipality Reichsthal, 64: municipality Schweisweiler, 65: municipality Imsbach, 66: municipality Göllheim, 67: municipality Gundersweiler, 68: municipality Lautersheim, 69: municipality Börrstadt, 70: municipality Gehrweiler, 71: municipality Breunigweiler, 72: municipality Kerzenheim, 73: municipality Winnweiler, 74: municipality Höringen, 75: municipality Lohnsfeld, 76: municipality city Eisenberg (Pfalz), 77: municipality Sippersfeld, 78: municipality Gonbach, 79: municipality Münchweiler an der Alsenz, 80: municipality Wartenberg-Rohrbach, 81: municipality Ramsen ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Sankt Alban

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Municipality Sankt Alban, 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 Alban

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Municipality Sankt Alban, 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 Alban.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms1Number2019
Houses 3 rooms6Number2019
Houses 4 rooms26Number2019
Houses 5 rooms32Number2019
Houses 6 rooms33Number2019
Houses 7+ rooms 42Number2019
Houses 1-2 rooms1Number2019
Houses 3-4 rooms32Number2019
Houses 5+ rooms107Number2019
1-2 rooms1%Percentage2019
3-4 rooms23%Percentage2019
5+ rooms76%Percentage2019
ElectionsValueUnitYear
Voters Bundestag241,00Number2017
Voter turnout Bundestag81Number2017
Votes valid Bundestag157Number2017
Votes Bundestag CDU/CSU46Number2017
Votes Bundestag SPD49Number2017
Votes Bundestag GRÜNE16Number2017
Votes Bundestag FDP16Number2017
Votes Bundestag DIE LINKE10Number2017
Votes Bundestag AfD10Number2017
Votes Bundestag other parties10Number2017
Votes Bundestag total157Number2017
% Votes Bundestag CDU/CSU19%Percentage2017
% Votes Bundestag SPD20%Percentage2017
% Votes Bundestag GRÜNE7%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD4%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees122Number2019
Employees male68Number2019
Employees female54Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed8Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-653Number2018
Unemployed long-term1Number2018
% Unemployed3%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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers135Number2015
Income total€4.753Euro2015
Income tax€649Euro2015
PopulationValueUnitYear
Population266Number2019
Men136Number2019
Women130Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-1835Number2019
18-3030Number2019
30-4538Number2019
45-6091Number2019
18-60159Number2019
60-7549Number2019
60+72Number2019
Average age47Average number2019
Average age male45Average number2019
Average age female50Average number2019
Births1Number2018
Births male1Number2018
Births female0Number2018
1K Births4Number per 1000 inhabitants2018
Deaths3Number2018
Deaths male2Number2018
Deaths female1Number2018
1K Deaths11Number2018
0-36Number2019
Girls 0-33Number2019
Boys 0-33Number2019
3-62Number2019
Girls 3-62Number2019
Boys 3-60Number2019
6-104Number2019
10-1515Number2019
15-188Number2019
18-206Number2019
20-2512Number2019
25-3012Number2019
30-3516Number2019
35-4013Number2019
40-459Number2019
45-5016Number2019
50-5536Number2019
55-6039Number2019
60-6512Number2019
65-7537Number2019
Women 65-7016Number2019
Men 65-7021Number2019
75+23Number2019
Women 75+18Number2019
Men 75+5Number2019
% 0-105%Percentage2019
% 10-189%Percentage2019
% 18-3011%Percentage2019
% 30-4514%Percentage2019
% 45-6034%Percentage2019
% 60+27%Percentage2019
Real estateValueUnitYear
Property tax A revenueno dataEurono data
Property tax B revenueno dataEurono data
Trade tax actual revenueno dataEurono data
Property tax A basic amountno dataEurono data
Property tax B basic amountno dataEurono data
Trade tax basic amount€3.010Euro2018
Property tax A rate€340Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€2.056Euro2018
Trade tax net€9.082Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335005066Code2019
Region code 8 digits07333066Code07333066
Sorting code073335005066Code073335005066
Sorting code 8 digits07333066Code07333066
Region nameSankt AlbanName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality Sankt AlbanName2019
Region name in GermanGemeinde Sankt AlbanName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area5Area in km²2019
ReligionValueUnitYear
Roman Catholic church65Number2011
Protestant church183Number2011
Other or none59Number2011
% Roman Catholic church21%Percentage2011
% Protestant church60%Percentage2011
% Other or none19%Percentage2011
Roman Catholic church German62Number2011
Protestant church German180Number2011
Other or none German59Number2011
% Roman Catholic church German21%Percentage2011
% Protestant church German60%Percentage2011
% Other or none German Foreign20%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign3Number2011
Other or none Foreign0Number2011
% Roman Catholic church Foreign50%Percentage2011
% Protestant church Foreign50%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.