Information about the municipality Berg:

Population numbers per year
The number of inhabitants in the municipality Berg

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Population numbers in the municipality Berg 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 Berg
Map of Rural district Starnberg with the population per municipality.Municipality Berg 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 Starnberg with the population per municipality.Municipality Berg is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Gilching, 2: municipality Krailling, 3: municipality Wörthsee, 4: municipality Weßling, 5: municipality Inning a. Ammersee ...Show more... Map of Rural district Starnberg with the population per municipality.Municipality Berg is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Gilching, 2: municipality Krailling, 3: municipality Wörthsee, 4: municipality Weßling, 5: municipality Inning a. Ammersee, 6: municipality Gauting, 7: municipality Seefeld, 8: municipality city Starnberg, 9: municipality Herrsching a. Ammersee, 10: municipality Pöcking, 11: municipality Andechs, 12: municipality Berg, 13: municipality Feldafing, 14: municipality Tutzing, 15: unincorporated area Starnberger See ...Show less...

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

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Municipality Berg, 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 Berg

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Municipality Berg, 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 Berg.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room161Number2019
Houses 2 rooms317Number2019
Houses 3 rooms546Number2019
Houses 4 rooms763Number2019
Houses 5 rooms705Number2019
Houses 6 rooms520Number2019
Houses 7+ rooms 910Number2019
Houses 1-2 rooms478Number2019
Houses 3-4 rooms1.309Number2019
Houses 5+ rooms2.135Number2019
1-2 rooms12%Percentage2019
3-4 rooms33%Percentage2019
5+ rooms54%Percentage2019
ElectionsValueUnitYear
Voters Bundestag5832,00Number2017
Voter turnout Bundestag84Number2017
Votes valid Bundestag4.849Number2017
Votes Bundestag CDU/CSU1.985Number2017
Votes Bundestag SPD454Number2017
Votes Bundestag GRÜNE539Number2017
Votes Bundestag FDP997Number2017
Votes Bundestag DIE LINKE162Number2017
Votes Bundestag AfD436Number2017
Votes Bundestag other parties276Number2017
Votes Bundestag total4.849Number2017
% Votes Bundestag CDU/CSU34%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE9%Percentage2017
% Votes Bundestag FDP17%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees2.717Number2019
Employees male1.403Number2019
Employees female1.314Number2019
Employees foreigner415Number2019
Employees male foreigner255Number2019
Employees female foreigner160Number2019
Unemployed84Number2018
Unemployed foreigners25Number2018
Unemployed severely disabled4Number2018
Unemployed 15-200Number2018
Unemployed 15-254Number2018
Unemployed 55-6522Number2018
Unemployed long-term13Number2018
% 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 receivers4.057Number2015
Income total€483.357Euro2015
Income tax€157.498Euro2015
PopulationValueUnitYear
Population8.296Number2019
Men4.130Number2019
Women4.166Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-181.451Number2019
18-301.193Number2019
30-451.177Number2019
45-602.208Number2019
18-604.578Number2019
60-751.303Number2019
60+2.267Number2019
Average age44Average number2019
Average age male43Average number2019
Average age female46Average number2019
Births54Number2018
Births male32Number2018
Births female22Number2018
1K Births7Number per 1000 inhabitants2018
Deaths61Number2018
Deaths male29Number2018
Deaths female32Number2018
1K Deaths7Number2018
0-3182Number2019
Girls 0-386Number2019
Boys 0-396Number2019
3-6213Number2019
Girls 3-6101Number2019
Boys 3-6112Number2019
6-10264Number2019
10-15485Number2019
15-18307Number2019
18-20230Number2019
20-25552Number2019
25-30411Number2019
30-35309Number2019
35-40409Number2019
40-45459Number2019
45-50596Number2019
50-55903Number2019
55-60709Number2019
60-65545Number2019
65-75758Number2019
Women 65-70409Number2019
Men 65-70349Number2019
75+964Number2019
Women 75+531Number2019
Men 75+433Number2019
% 0-108%Percentage2019
% 10-1810%Percentage2019
% 18-3014%Percentage2019
% 30-4514%Percentage2019
% 45-6027%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 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 code091880113113Code2019
Region code 8 digits09188113Code09188113
Sorting code091880113113Code091880113113
Sorting code 8 digits09188113Code09188113
Region nameBergName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BergName2019
Region name in GermanGemeinde BergName2019
Direct subregionsno dataNumber2019
NUTS codeDE21LCode2019
Area37Area in km²2019
ReligionValueUnitYear
Roman Catholic church3.554Number2011
Protestant church1.342Number2011
Other or none2.999Number2011
% Roman Catholic church45%Percentage2011
% Protestant church17%Percentage2011
% Other or none38%Percentage2011
Roman Catholic church German3.368Number2011
Protestant church German1.329Number2011
Other or none German2.587Number2011
% Roman Catholic church German46%Percentage2011
% Protestant church German18%Percentage2011
% Other or none German Foreign36%Percentage2011
Roman Catholic church Foreign186Number2011
Protestant church Foreign13Number2011
Other or none Foreign412Number2011
% Roman Catholic church Foreign30%Percentage2011
% Protestant church Foreign2%Percentage2011
% Other or none Foreign67%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.

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