Information about the municipality Rott a. Inn:

Population numbers per year
The number of inhabitants in the municipality Rott a. Inn

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Population numbers in the municipality Rott a. Inn 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 Rott a. Inn
Map of Rural district Rosenheim with the population per municipality.Municipality Rott a. Inn 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 Rosenheim with the population per municipality.Municipality Rott a. Inn is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Albaching, 2: municipality Soyen, 3: municipality Babensham, 4: municipality Edling, 5: municipality city Wasserburg a. Inn ...Show more... Map of Rural district Rosenheim with the population per municipality.Municipality Rott a. Inn is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Albaching, 2: municipality Soyen, 3: municipality Babensham, 4: municipality Edling, 5: municipality city Wasserburg a. Inn, 6: municipality Pfaffing, 7: municipality Eiselfing, 8: municipality Ramerberg, 9: municipality Amerang, 10: municipality Griesstätt, 11: municipality Rott a. Inn, 12: municipality Schonstett, 13: unincorporated area Rotter Forst-Nord, 14: municipality Halfing, 15: unincorporated area Rotter Forst-Süd, 16: municipality Höslwang, 17: municipality Tuntenhausen, 18: municipality Eggstätt, 19: municipality Vogtareuth, 20: municipality Schechen, 21: municipality Söchtenau, 22: municipality Feldkirchen-Westerham, 23: municipality Gstadt a. Chiemsee, 24: municipality Bad Endorf, 25: municipality Großkarolinenfeld, 26: municipality Breitbrunn a. Chiemsee, 27: municipality Bruckmühl, 28: municipality Prutting, 29: municipality Rimsting, 30: municipality city Bad Aibling, 31: municipality Stephanskirchen, 32: municipality Chiemsee, 33: municipality Prien a. Chiemsee, 34: municipality city Kolbermoor, 35: municipality Riedering, 36: municipality Bernau a. Chiemsee, 37: municipality Rohrdorf, 38: municipality Frasdorf, 39: municipality Raubling, 40: municipality Bad Feilnbach, 41: municipality Neubeuern, 42: municipality Samerberg, 43: municipality Aschau i. Chiemgau, 44: municipality Brannenburg, 45: municipality Nußdorf a. Inn, 46: municipality Flintsbach a. Inn, 47: municipality Oberaudorf, 48: municipality Kiefersfelden ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Rott a. Inn

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Municipality Rott a. Inn, 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 Rott a. Inn

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Municipality Rott a. Inn, 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 Rott a. Inn.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses4Number2017
Active persons822Number2017
Gross wages€39.056Euro2017
DwellingsValueUnitYear
Houses 1 room25Number2019
Houses 2 rooms115Number2019
Houses 3 rooms275Number2019
Houses 4 rooms321Number2019
Houses 5 rooms362Number2019
Houses 6 rooms286Number2019
Houses 7+ rooms 373Number2019
Houses 1-2 rooms140Number2019
Houses 3-4 rooms596Number2019
Houses 5+ rooms1.021Number2019
1-2 rooms8%Percentage2019
3-4 rooms34%Percentage2019
5+ rooms58%Percentage2019
ElectionsValueUnitYear
Voters Bundestag3111,00Number2017
Voter turnout Bundestag79Number2017
Votes valid Bundestag2.440Number2017
Votes Bundestag CDU/CSU978Number2017
Votes Bundestag SPD268Number2017
Votes Bundestag GRÜNE211Number2017
Votes Bundestag FDP269Number2017
Votes Bundestag DIE LINKE142Number2017
Votes Bundestag AfD373Number2017
Votes Bundestag other parties199Number2017
Votes Bundestag total2.440Number2017
% Votes Bundestag CDU/CSU31%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE7%Percentage2017
% Votes Bundestag FDP9%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD12%Percentage2017
% Votes Bundestag other parties6%Percentage2017
EmploymentValueUnitYear
Employees1.799Number2019
Employees male953Number2019
Employees female846Number2019
Employees foreigner112Number2019
Employees male foreigner71Number2019
Employees female foreigner41Number2019
Unemployed45Number2018
Unemployed foreigners7Number2018
Unemployed severely disabled6Number2018
Unemployed 15-201Number2018
Unemployed 15-256Number2018
Unemployed 55-6513Number2018
Unemployed long-term12Number2018
% 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 receivers2.119Number2015
Income total€87.538Euro2015
Income tax€14.785Euro2015
PopulationValueUnitYear
Population4.067Number2019
Men2.076Number2019
Women1.991Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-18766Number2019
18-30590Number2019
30-45741Number2019
45-60978Number2019
18-602.309Number2019
60-75633Number2019
60+992Number2019
Average age42Average number2019
Average age male41Average number2019
Average age female44Average number2019
Births34Number2018
Births male13Number2018
Births female21Number2018
1K Births8Number per 1000 inhabitants2018
Deaths35Number2018
Deaths male19Number2018
Deaths female16Number2018
1K Deaths9Number2018
0-3118Number2019
Girls 0-353Number2019
Boys 0-365Number2019
3-6129Number2019
Girls 3-660Number2019
Boys 3-669Number2019
6-10163Number2019
10-15215Number2019
15-18141Number2019
18-20109Number2019
20-25219Number2019
25-30262Number2019
30-35244Number2019
35-40272Number2019
40-45225Number2019
45-50291Number2019
50-55346Number2019
55-60341Number2019
60-65278Number2019
65-75355Number2019
Women 65-70179Number2019
Men 65-70176Number2019
75+359Number2019
Women 75+202Number2019
Men 75+157Number2019
% 0-1010%Percentage2019
% 10-189%Percentage2019
% 18-3015%Percentage2019
% 30-4518%Percentage2019
% 45-6024%Percentage2019
% 60+24%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 code091875165170Code2019
Region code 8 digits09187170Code09187170
Sorting code091875165170Code091875165170
Sorting code 8 digits09187170Code09187170
Region nameRott a. InnName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality Rott a. InnName2019
Region name in GermanGemeinde Rott a. InnName2019
Direct subregionsno dataNumber2019
NUTS codeDE21KCode2019
Area20Area in km²2019
ReligionValueUnitYear
Roman Catholic church2.818Number2011
Protestant church248Number2011
Other or none608Number2011
% Roman Catholic church77%Percentage2011
% Protestant church7%Percentage2011
% Other or none17%Percentage2011
Roman Catholic church German2.775Number2011
Protestant church German245Number2011
Other or none German578Number2011
% Roman Catholic church German77%Percentage2011
% Protestant church German7%Percentage2011
% Other or none German Foreign16%Percentage2011
Roman Catholic church Foreign43Number2011
Protestant church Foreign3Number2011
Other or none Foreign30Number2011
% Roman Catholic church Foreign57%Percentage2011
% Protestant church Foreign4%Percentage2011
% Other or none Foreign39%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.