Information about the municipality Mauth:

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

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

Population numbers in the municipality Mauth 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 Mauth
Map of Rural district Freyung-Grafenau with the population per municipality.Municipality Mauth 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 Freyung-Grafenau with the population per municipality.Municipality Mauth is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: unincorporated area Mauther Forst, 2: unincorporated area Sankt Oswald, 3: unincorporated area Waldhäuserwald, 4: municipality Spiegelau, 5: municipality Sankt Oswald-Riedlhütte ...Show more... Map of Rural district Freyung-Grafenau with the population per municipality.Municipality Mauth is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: unincorporated area Mauther Forst, 2: unincorporated area Sankt Oswald, 3: unincorporated area Waldhäuserwald, 4: municipality Spiegelau, 5: municipality Sankt Oswald-Riedlhütte, 6: unincorporated area Schönbrunner Wald, 7: municipality Mauth, 8: municipality Neuschönau, 9: municipality Eppenschlag, 10: unincorporated area Annathaler Wald, 11: municipality Philippsreut, 12: unincorporated area Philippsreuter Wald, 13: municipality Hohenau, 14: unincorporated area Schlichtenberger Wald, 15: municipality Innernzell, 16: municipality city Grafenau, 17: unincorporated area Leopoldsreuter Wald, 18: municipality Haidmühle, 19: municipality Schönberg, 20: municipality Schöfweg, 21: municipality Hinterschmiding, 22: municipality city Freyung, 23: unincorporated area Graineter Wald, 24: municipality Ringelai, 25: unincorporated area Frauenberger und Duschlberger Wald, 26: municipality Grainet, 27: municipality Zenting, 28: municipality Saldenburg, 29: municipality Perlesreut, 30: unincorporated area Pleckensteiner Wald, 31: municipality Thurmansbang, 32: municipality Röhrnbach, 33: municipality Neureichenau, 34: municipality Fürsteneck, 35: municipality city Waldkirchen, 36: municipality Jandelsbrunn ...Show less...

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

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

Municipality Mauth, 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 Mauth

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

Municipality Mauth, 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 Mauth.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room8Number2019
Houses 2 rooms43Number2019
Houses 3 rooms146Number2019
Houses 4 rooms281Number2019
Houses 5 rooms256Number2019
Houses 6 rooms147Number2019
Houses 7+ rooms 271Number2019
Houses 1-2 rooms51Number2019
Houses 3-4 rooms427Number2019
Houses 5+ rooms674Number2019
1-2 rooms4%Percentage2019
3-4 rooms37%Percentage2019
5+ rooms59%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1879,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag1.455Number2017
Votes Bundestag CDU/CSU472Number2017
Votes Bundestag SPD311Number2017
Votes Bundestag GRÜNE37Number2017
Votes Bundestag FDP87Number2017
Votes Bundestag DIE LINKE52Number2017
Votes Bundestag AfD409Number2017
Votes Bundestag other parties87Number2017
Votes Bundestag total1.455Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD22%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees848Number2019
Employees male486Number2019
Employees female362Number2019
Employees foreigner15Number2019
Employees male foreigner11Number2019
Employees female foreigner4Number2019
Unemployed39Number2018
Unemployed foreigners3Number2018
Unemployed severely disabled4Number2018
Unemployed 15-201Number2018
Unemployed 15-253Number2018
Unemployed 55-6516Number2018
Unemployed long-term6Number2018
% 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 55-651%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.121Number2015
Income total€34.009Euro2015
Income tax€4.799Euro2015
PopulationValueUnitYear
Population2.251Number2019
Men1.108Number2019
Women1.143Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18320Number2019
18-30276Number2019
30-45343Number2019
45-60570Number2019
18-601.189Number2019
60-75490Number2019
60+742Number2019
Average age47Average number2019
Average age male46Average number2019
Average age female48Average number2019
Births20Number2018
Births male13Number2018
Births female7Number2018
1K Births9Number per 1000 inhabitants2018
Deaths31Number2018
Deaths male15Number2018
Deaths female16Number2018
1K Deaths14Number2018
0-350Number2019
Girls 0-326Number2019
Boys 0-324Number2019
3-647Number2019
Girls 3-627Number2019
Boys 3-620Number2019
6-1073Number2019
10-1587Number2019
15-1863Number2019
18-2037Number2019
20-25119Number2019
25-30120Number2019
30-35117Number2019
35-40117Number2019
40-45109Number2019
45-50160Number2019
50-55190Number2019
55-60220Number2019
60-65228Number2019
65-75262Number2019
Women 65-70123Number2019
Men 65-70139Number2019
75+252Number2019
Women 75+156Number2019
Men 75+96Number2019
% 0-108%Percentage2019
% 10-187%Percentage2019
% 18-3012%Percentage2019
% 30-4515%Percentage2019
% 45-6025%Percentage2019
% 60+33%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 rateno dataEurono data
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levyno dataEurono data
Trade tax netno dataEurono data
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code092720134134Code2019
Region code 8 digits09272134Code09272134
Sorting code092720134134Code092720134134
Sorting code 8 digits09272134Code09272134
Region nameMauthName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality MauthName2019
Region name in GermanGemeinde MauthName2019
Direct subregionsno dataNumber2019
NUTS codeDE225Code2019
Area29Area in km²2019
ReligionValueUnitYear
Roman Catholic church2.113Number2011
Protestant church57Number2011
Other or none146Number2011
% Roman Catholic church91%Percentage2011
% Protestant church2%Percentage2011
% Other or none6%Percentage2011
Roman Catholic church German2.097Number2011
Protestant church German57Number2011
Other or none German133Number2011
% Roman Catholic church German92%Percentage2011
% Protestant church German2%Percentage2011
% Other or none German Foreign6%Percentage2011
Roman Catholic church Foreign16Number2011
Protestant church Foreign0Number2011
Other or none Foreign13Number2011
% Roman Catholic church Foreign55%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign45%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.

  • Top