Information about the municipality Partenstein:

View the information on over 100 topics about the municipality Partenstein! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Partenstein! 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 Partenstein
200920102011201220132014201520162017201820192.7702.7802.7902.8002.8102.8202.8302.8402.8502.8602.870Value 2009: 2.819Value 2010: 2.809Value 2011: 2.833Value 2012: 2.838Value 2013: 2.865Value 2014: 2.855Value 2015: 2.806Value 2016: 2.787Value 2017: 2.791Value 2018: 2.839Value 2019: 2.839

Population numbers in the municipality Partenstein 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 Partenstein
Map of Rural district Main-Spessart with the population per municipality.Municipality Partenstein 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 Main-Spessart with the population per municipality.Municipality Partenstein is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obersinn, 2: unincorporated area Burgjoß, 3: unincorporated area Forst Aura, 4: municipality Mittelsinn, 5: municipality Aura i. Sinngrund ...Show more... Map of Rural district Main-Spessart with the population per municipality.Municipality Partenstein is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obersinn, 2: unincorporated area Burgjoß, 3: unincorporated area Forst Aura, 4: municipality Mittelsinn, 5: municipality Aura i. Sinngrund, 6: municipality Burgsinn, 7: municipality Fellen, 8: municipality Gräfendorf, 9: municipality city Rieneck, 10: unincorporated area Herrnwald, 11: unincorporated area Haurain, 12: unincorporated area Ruppertshüttener Forst, 13: unincorporated area Frammersbacher Forst, 14: unincorporated area Langenprozeltener Forst, 15: municipality Frammersbach, 16: municipality Karsbach, 17: municipality city Gemünden a. Main, 18: municipality Partenstein, 19: municipality Neuendorf, 20: municipality Wiesthal, 21: unincorporated area Partensteiner Forst, 22: municipality Gössenheim, 23: municipality Eußenheim, 24: municipality city Lohr a. Main, 25: municipality Neuhütten, 26: municipality city Arnstein, 27: municipality Rechtenbach, 28: unincorporated area Forst Lohrerstraße, 29: municipality city Karlstadt, 30: municipality Steinfeld, 31: municipality Thüngen, 32: municipality Neustadt a. Main, 33: municipality Himmelstadt, 34: municipality Roden, 35: unincorporated area Fürstl. Löwenstein'scher Park, 36: municipality Retzstadt, 37: municipality city Rothenfels, 38: municipality Urspringen, 39: municipality Zellingen, 40: municipality Bischbrunn, 41: municipality Hafenlohr, 42: municipality Karbach, 43: municipality Birkenfeld, 44: municipality Esselbach, 45: municipality city Marktheidenfeld, 46: municipality Schollbrunn, 47: municipality Erlenbach b. Marktheidenfeld, 48: municipality Hasloch, 49: municipality Triefenstein, 50: municipality Kreuzwertheim ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Partenstein
8%6%13%16%25%20%11%0%2%4%6%8%10%12%14%16%18%20%22%24%% 0-10% 10-18% 18-30% 30-45% 45-60% 60-75% 75+

Municipality Partenstein, 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 Partenstein
6%35%59%% Houses 1-2 rooms% Houses 3-4 rooms% Houses 5+ rooms

Municipality Partenstein, 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 Partenstein.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room9Number2019
Houses 2 rooms75Number2019
Houses 3 rooms212Number2019
Houses 4 rooms281Number2019
Houses 5 rooms252Number2019
Houses 6 rooms229Number2019
Houses 7+ rooms 347Number2019
Houses 1-2 rooms84Number2019
Houses 3-4 rooms493Number2019
Houses 5+ rooms828Number2019
1-2 rooms6%Percentage2019
3-4 rooms35%Percentage2019
5+ rooms59%Percentage2019
ElectionsValueUnitYear
Voters Bundestag2294,00Number2017
Voter turnout Bundestag82Number2017
Votes valid Bundestag1.859Number2017
Votes Bundestag CDU/CSU615Number2017
Votes Bundestag SPD610Number2017
Votes Bundestag GRÜNE145Number2017
Votes Bundestag FDP119Number2017
Votes Bundestag DIE LINKE106Number2017
Votes Bundestag AfD162Number2017
Votes Bundestag other parties102Number2017
Votes Bundestag total1.859Number2017
% Votes Bundestag CDU/CSU27%Percentage2017
% Votes Bundestag SPD27%Percentage2017
% Votes Bundestag GRÜNE6%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees1.265Number2019
Employees male691Number2019
Employees female574Number2019
Employees foreigner62Number2019
Employees male foreigner38Number2019
Employees female foreigner24Number2019
Unemployed33Number2018
Unemployed foreigners5Number2018
Unemployed severely disabled7Number2018
Unemployed 15-200Number2018
Unemployed 15-254Number2018
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 receivers1.377Number2015
Income total€52.116Euro2015
Income tax€8.458Euro2015
PopulationValueUnitYear
Population2.839Number2019
Men1.406Number2019
Women1.433Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18414Number2019
18-30371Number2019
30-45466Number2019
45-60722Number2019
18-601.559Number2019
60-75556Number2019
60+866Number2019
Average age46Average number2019
Average age male46Average number2019
Average age female47Average number2019
Births27Number2018
Births male14Number2018
Births female13Number2018
1K Births10Number per 1000 inhabitants2018
Deaths48Number2018
Deaths male31Number2018
Deaths female17Number2018
1K Deaths17Number2018
0-371Number2019
Girls 0-334Number2019
Boys 0-337Number2019
3-668Number2019
Girls 3-633Number2019
Boys 3-635Number2019
6-1093Number2019
10-15111Number2019
15-1871Number2019
18-2057Number2019
20-25151Number2019
25-30163Number2019
30-35140Number2019
35-40166Number2019
40-45160Number2019
45-50209Number2019
50-55243Number2019
55-60270Number2019
60-65234Number2019
65-75322Number2019
Women 65-70169Number2019
Men 65-70153Number2019
75+310Number2019
Women 75+183Number2019
Men 75+127Number2019
% 0-108%Percentage2019
% 10-186%Percentage2019
% 18-3013%Percentage2019
% 30-4516%Percentage2019
% 45-6025%Percentage2019
% 60+31%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 code096775656170Code2019
Region code 8 digits09677170Code09677170
Sorting code096775656170Code096775656170
Sorting code 8 digits09677170Code09677170
Region namePartensteinName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality PartensteinName2019
Region name in GermanGemeinde PartensteinName2019
Direct subregionsno dataNumber2019
NUTS codeDE26ACode2019
Area10Area in km²2019
ReligionValueUnitYear
Roman Catholic church1.177Number2011
Protestant church1.275Number2011
Other or none399Number2011
% Roman Catholic church41%Percentage2011
% Protestant church45%Percentage2011
% Other or none14%Percentage2011
Roman Catholic church German1.148Number2011
Protestant church German1.275Number2011
Other or none German354Number2011
% Roman Catholic church German41%Percentage2011
% Protestant church German46%Percentage2011
% Other or none German Foreign13%Percentage2011
Roman Catholic church Foreign29Number2011
Protestant church Foreign0Number2011
Other or none Foreign45Number2011
% Roman Catholic church Foreign39%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign61%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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