Information about the municipality Sankt Martin:

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

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Population numbers in the municipality Sankt Martin 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 Martin
Map of Rural district Südliche Weinstraße with the population per municipality.Municipality Sankt Martin 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 Südliche Weinstraße with the population per municipality.Municipality Sankt Martin is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Kirrweiler (Pfalz), 2: municipality Maikammer, 3: municipality Sankt Martin, 4: municipality Gommersheim, 5: municipality Altdorf ...Show more... Map of Rural district Südliche Weinstraße with the population per municipality.Municipality Sankt Martin is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Kirrweiler (Pfalz), 2: municipality Maikammer, 3: municipality Sankt Martin, 4: municipality Gommersheim, 5: municipality Altdorf, 6: municipality city Edenkoben, 7: municipality Venningen, 8: municipality Böbingen, 9: municipality Rhodt unter Rietburg, 10: municipality Hainfeld, 11: municipality Edesheim, 12: municipality Weyher in der Pfalz, 13: municipality Ramberg, 14: municipality Freimersheim (Pfalz), 15: municipality Großfischlingen, 16: municipality Roschbach, 17: municipality Burrweiler, 18: municipality Kleinfischlingen, 19: municipality Flemlingen, 20: municipality Dernbach, 21: municipality Gleisweiler, 22: municipality Walsheim, 23: municipality Böchingen, 24: municipality Albersweiler, 25: municipality Frankweiler, 26: municipality Eußerthal, 27: municipality Siebeldingen, 28: municipality Knöringen, 29: municipality Hochstadt (Pfalz), 30: municipality Essingen, 31: municipality city Annweiler am Trifels, 32: municipality Rinnthal, 33: municipality Birkweiler, 34: municipality Bornheim, 35: municipality Ranschbach, 36: municipality Wernersberg, 37: municipality Offenbach an der Queich, 38: municipality Leinsweiler, 39: municipality Ilbesheim bei Landau in der Pfalz, 40: municipality Völkersweiler, 41: municipality Eschbach, 42: municipality Waldrohrbach, 43: municipality Waldhambach, 44: municipality Impflingen, 45: municipality Göcklingen, 46: municipality Gossersweiler-Stein, 47: municipality Insheim, 48: municipality Herxheimweyher, 49: municipality Münchweiler am Klingbach, 50: municipality Herxheim bei Landau/Pfalz, 51: municipality Klingenmünster, 52: municipality Oberschlettenbach, 53: municipality Rohrbach, 54: municipality Heuchelheim-Klingen, 55: municipality Silz, 56: municipality Gleiszellen-Gleishorbach, 57: municipality Vorderweidenthal, 58: municipality Billigheim-Ingenheim, 59: municipality Pleisweiler-Oberhofen, 60: municipality Niederhorbach, 61: municipality Birkenhördt, 62: municipality city Bad Bergzabern, 63: municipality Barbelroth, 64: municipality Oberhausen, 65: municipality Hergersweiler, 66: municipality Kapellen-Drusweiler, 67: municipality Böllenborn, 68: municipality Dörrenbach, 69: municipality Dierbach, 70: municipality Oberotterbach, 71: municipality Niederotterbach, 72: municipality Schweigen-Rechtenbach, 73: municipality Schweighofen, 74: municipality Kapsweyer, 75: municipality Steinfeld ...Show less...

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

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Municipality Sankt Martin, 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 Martin

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Municipality Sankt Martin, 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 Martin.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room9Number2019
Houses 2 rooms62Number2019
Houses 3 rooms147Number2019
Houses 4 rooms168Number2019
Houses 5 rooms209Number2019
Houses 6 rooms157Number2019
Houses 7+ rooms 249Number2019
Houses 1-2 rooms71Number2019
Houses 3-4 rooms315Number2019
Houses 5+ rooms615Number2019
1-2 rooms7%Percentage2019
3-4 rooms31%Percentage2019
5+ rooms61%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1388,00Number2017
Voter turnout Bundestag81Number2017
Votes valid Bundestag685Number2017
Votes Bundestag CDU/CSU345Number2017
Votes Bundestag SPD98Number2017
Votes Bundestag GRÜNE52Number2017
Votes Bundestag FDP71Number2017
Votes Bundestag DIE LINKE40Number2017
Votes Bundestag AfD59Number2017
Votes Bundestag other parties20Number2017
Votes Bundestag total685Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD7%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD4%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees665Number2019
Employees male366Number2019
Employees female299Number2019
Employees foreigner107Number2019
Employees male foreigner64Number2019
Employees female foreigner43Number2019
Unemployed21Number2018
Unemployed foreigners4Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-658Number2018
Unemployed long-term5Number2018
% 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 receivers913Number2015
Income total€38.258Euro2015
Income tax€6.976Euro2015
PopulationValueUnitYear
Population1.681Number2019
Men824Number2019
Women857Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18241Number2019
18-30191Number2019
30-45243Number2019
45-60434Number2019
18-60868Number2019
60-75332Number2019
60+572Number2019
Average age48Average number2019
Average age male47Average number2019
Average age female49Average number2019
Births13Number2018
Births male4Number2018
Births female9Number2018
1K Births8Number per 1000 inhabitants2018
Deaths21Number2018
Deaths male12Number2018
Deaths female9Number2018
1K Deaths12Number2018
0-341Number2019
Girls 0-322Number2019
Boys 0-319Number2019
3-639Number2019
Girls 3-621Number2019
Boys 3-618Number2019
6-1053Number2019
10-1568Number2019
15-1840Number2019
18-2039Number2019
20-2569Number2019
25-3083Number2019
30-3581Number2019
35-4084Number2019
40-4578Number2019
45-50115Number2019
50-55156Number2019
55-60163Number2019
60-65134Number2019
65-75198Number2019
Women 65-7094Number2019
Men 65-70104Number2019
75+240Number2019
Women 75+139Number2019
Men 75+101Number2019
% 0-108%Percentage2019
% 10-186%Percentage2019
% 18-3011%Percentage2019
% 30-4514%Percentage2019
% 45-6026%Percentage2019
% 60+34%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 amountno dataEurono data
Property tax A rate€320Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€58.173Euro2018
Trade tax net€269.742Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073375006070Code2019
Region code 8 digits07337070Code07337070
Sorting code073375006070Code073375006070
Sorting code 8 digits07337070Code07337070
Region nameSankt MartinName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality Sankt MartinName2019
Region name in GermanGemeinde Sankt MartinName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3HCode2019
Area11Area in km²2019
ReligionValueUnitYear
Roman Catholic church1.218Number2011
Protestant church273Number2011
Other or none306Number2011
% Roman Catholic church68%Percentage2011
% Protestant church15%Percentage2011
% Other or none17%Percentage2011
Roman Catholic church German1.148Number2011
Protestant church German273Number2011
Other or none German276Number2011
% Roman Catholic church German68%Percentage2011
% Protestant church German16%Percentage2011
% Other or none German Foreign16%Percentage2011
Roman Catholic church Foreign70Number2011
Protestant church Foreign0Number2011
Other or none Foreign30Number2011
% Roman Catholic church Foreign70%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign30%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.