Information about the municipality Bestensee:

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

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Population numbers in the municipality Bestensee 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 Bestensee
Map of Rural district Dahme-Spreewald with the population per municipality.Municipality Bestensee 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 Dahme-Spreewald with the population per municipality.Municipality Bestensee is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Eichwalde, 2: municipality Schönefeld, 3: municipality Schulzendorf, 4: municipality Zeuthen, 5: municipality city Wildau ...Show more... Map of Rural district Dahme-Spreewald with the population per municipality.Municipality Bestensee is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Eichwalde, 2: municipality Schönefeld, 3: municipality Schulzendorf, 4: municipality Zeuthen, 5: municipality city Wildau, 6: municipality city Königs Wusterhausen, 7: municipality city Mittenwalde, 8: municipality Heidesee, 9: municipality Bestensee, 10: municipality Groß Köris, 11: municipality Schwerin, 12: municipality Münchehofe, 13: municipality city Teupitz, 14: municipality city Märkisch Buchholz, 15: municipality Unterspreewald, 16: municipality Halbe, 17: municipality Märkische Heide, 18: municipality Krausnick-Groß Wasserburg, 19: municipality Jamlitz, 20: municipality Rietzneuendorf-Staakow, 21: municipality Schlepzig, 22: municipality city Lieberose, 23: municipality Schönwald, 24: municipality Schwielochsee, 25: municipality city Golßen, 26: municipality Steinreich, 27: municipality Spreewaldheide, 28: municipality city Lübben (Spreewald), 29: municipality Bersteland, 30: municipality Neu Zauche, 31: municipality Kasel-Golzig, 32: municipality Drahnsdorf, 33: municipality Alt Zauche-Wußwerk, 34: municipality Straupitz (Spreewald), 35: municipality Byhleguhre-Byhlen, 36: municipality city Luckau, 37: municipality Heideblick ...Show less...

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

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Municipality Bestensee, 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 Bestensee

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Municipality Bestensee, 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 Bestensee.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room35Number2019
Houses 2 rooms301Number2019
Houses 3 rooms674Number2019
Houses 4 rooms1.369Number2019
Houses 5 rooms909Number2019
Houses 6 rooms413Number2019
Houses 7+ rooms 192Number2019
Houses 1-2 rooms336Number2019
Houses 3-4 rooms2.043Number2019
Houses 5+ rooms1.514Number2019
1-2 rooms9%Percentage2019
3-4 rooms52%Percentage2019
5+ rooms39%Percentage2019
ElectionsValueUnitYear
Voters Bundestag6144,00Number2017
Voter turnout Bundestag77Number2017
Votes valid Bundestag4.679Number2017
Votes Bundestag CDU/CSU1.230Number2017
Votes Bundestag SPD808Number2017
Votes Bundestag GRÜNE172Number2017
Votes Bundestag FDP284Number2017
Votes Bundestag DIE LINKE830Number2017
Votes Bundestag AfD1.069Number2017
Votes Bundestag other parties286Number2017
Votes Bundestag total4.679Number2017
% Votes Bundestag CDU/CSU20%Percentage2017
% Votes Bundestag SPD13%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE14%Percentage2017
% Votes Bundestag AfD17%Percentage2017
% Votes Bundestag other parties5%Percentage2017
EmploymentValueUnitYear
Employees3.323Number2019
Employees male1.690Number2019
Employees female1.633Number2019
Employees foreigner206Number2019
Employees male foreigner103Number2019
Employees female foreigner103Number2019
Unemployed210Number2018
Unemployed foreigners27Number2018
Unemployed severely disabled15Number2018
Unemployed 15-201Number2018
Unemployed 15-257Number2018
Unemployed 55-6557Number2018
Unemployed long-term65Number2018
% 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-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers3.469Number2015
Income total€116.039Euro2015
Income tax€17.859Euro2015
PopulationValueUnitYear
Population7.850Number2019
Men3.909Number2019
Women3.941Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-181.315Number2019
18-30651Number2019
30-451.536Number2019
45-601.963Number2019
18-604.150Number2019
60-751.404Number2019
60+2.385Number2019
Average age46Average number2019
Average age male45Average number2019
Average age female47Average number2019
Births85Number2018
Births male43Number2018
Births female42Number2018
1K Births11Number per 1000 inhabitants2018
Deaths89Number2018
Deaths male47Number2018
Deaths female42Number2018
1K Deaths11Number2018
0-3262Number2019
Girls 0-3130Number2019
Boys 0-3132Number2019
3-6252Number2019
Girls 3-6131Number2019
Boys 3-6121Number2019
6-10292Number2019
10-15324Number2019
15-18185Number2019
18-20110Number2019
20-25236Number2019
25-30305Number2019
30-35550Number2019
35-40543Number2019
40-45443Number2019
45-50531Number2019
50-55732Number2019
55-60700Number2019
60-65602Number2019
65-75802Number2019
Women 65-70408Number2019
Men 65-70394Number2019
75+981Number2019
Women 75+574Number2019
Men 75+407Number2019
% 0-1010%Percentage2019
% 10-186%Percentage2019
% 18-308%Percentage2019
% 30-4520%Percentage2019
% 45-6025%Percentage2019
% 60+30%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 code120610020020Code2019
Region code 8 digits12061020Code12061020
Sorting code120610020020Code120610020020
Sorting code 8 digits12061020Code12061020
Region nameBestenseeName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BestenseeName2019
Region name in GermanGemeinde BestenseeName2019
Direct subregionsno dataNumber2019
NUTS codeDE406Code2019
Area38Area in km²2019
ReligionValueUnitYear
Roman Catholic church176Number2011
Protestant church747Number2011
Other or none5.656Number2011
% Roman Catholic church3%Percentage2011
% Protestant church11%Percentage2011
% Other or none86%Percentage2011
Roman Catholic church German155Number2011
Protestant church German747Number2011
Other or none German5.595Number2011
% Roman Catholic church German2%Percentage2011
% Protestant church German11%Percentage2011
% Other or none German Foreign86%Percentage2011
Roman Catholic church Foreign21Number2011
Protestant church Foreign0Number2011
Other or none Foreign61Number2011
% Roman Catholic church Foreign26%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign74%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.