Information about the municipality city Osthofen:

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

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Population numbers in the municipality city Osthofen 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 Osthofen
Map of Rural district Alzey-Worms with the population per municipality.Municipality Osthofen 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 Alzey-Worms with the population per municipality.Municipality Osthofen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Partenheim, 2: municipality Saulheim, 3: municipality Udenheim, 4: municipality Vendersheim, 5: municipality Gau-Weinheim ...Show more... Map of Rural district Alzey-Worms with the population per municipality.Municipality Osthofen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Partenheim, 2: municipality Saulheim, 3: municipality Udenheim, 4: municipality Vendersheim, 5: municipality Gau-Weinheim, 6: municipality Schornsheim, 7: municipality Sulzheim, 8: municipality city Wörrstadt, 9: municipality Gau-Bickelheim, 10: municipality Wallertheim, 11: municipality Gabsheim, 12: municipality Wöllstein, 13: municipality Gumbsheim, 14: municipality Armsheim, 15: municipality Bechtolsheim, 16: municipality Spiesheim, 17: municipality Ensheim, 18: municipality Biebelnheim, 19: municipality Siefersheim, 20: municipality Eckelsheim, 21: municipality Flonheim, 22: municipality Lonsheim, 23: municipality Bornheim, 24: municipality Bermersheim vor der Höhe, 25: municipality Gau-Odernheim, 26: municipality Albig, 27: municipality Gimbsheim, 28: municipality Wonsheim, 29: municipality Stein-Bockenheim, 30: municipality Alsheim, 31: municipality Frettenheim, 32: municipality Framersheim, 33: municipality Erbes-Büdesheim, 34: municipality Wendelsheim, 35: municipality Eich, 36: municipality Hamm am Rhein, 37: municipality city Alzey, 38: municipality Dittelsheim-Heßloch, 39: municipality Nack, 40: municipality Mettenheim, 41: municipality Gau-Heppenheim, 42: municipality Nieder-Wiesen, 43: municipality Bechenheim, 44: municipality Bechtheim, 45: municipality Hochborn, 46: municipality Monzernheim, 47: municipality Kettenheim, 48: municipality Wahlheim, 49: municipality Offenheim, 50: municipality Hangen-Weisheim, 51: municipality Mauchenheim, 52: municipality Dintesheim, 53: municipality Eppelsheim, 54: municipality Esselborn, 55: municipality Freimersheim, 56: municipality city Osthofen, 57: municipality Westhofen, 58: municipality Flomborn, 59: municipality Gundersheim, 60: municipality Bermersheim, 61: municipality Ober-Flörsheim, 62: municipality Gundheim, 63: municipality Mörstadt, 64: municipality Flörsheim-Dalsheim, 65: municipality Mölsheim, 66: municipality Monsheim, 67: municipality Wachenheim, 68: municipality Hohen-Sülzen, 69: municipality Offstein ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality city Osthofen

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Municipality city Osthofen, 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 city Osthofen

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Municipality city Osthofen, 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 city Osthofen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses3Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room55Number2019
Houses 2 rooms251Number2019
Houses 3 rooms730Number2019
Houses 4 rooms1.023Number2019
Houses 5 rooms911Number2019
Houses 6 rooms556Number2019
Houses 7+ rooms 619Number2019
Houses 1-2 rooms306Number2019
Houses 3-4 rooms1.753Number2019
Houses 5+ rooms2.086Number2019
1-2 rooms7%Percentage2019
3-4 rooms42%Percentage2019
5+ rooms50%Percentage2019
ElectionsValueUnitYear
Voters Bundestag6732,00Number2017
Voter turnout Bundestag68Number2017
Votes valid Bundestag3.396Number2017
Votes Bundestag CDU/CSU1.045Number2017
Votes Bundestag SPD841Number2017
Votes Bundestag GRÜNE221Number2017
Votes Bundestag FDP244Number2017
Votes Bundestag DIE LINKE216Number2017
Votes Bundestag AfD681Number2017
Votes Bundestag other parties148Number2017
Votes Bundestag total3.396Number2017
% Votes Bundestag CDU/CSU16%Percentage2017
% Votes Bundestag SPD12%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees3.621Number2019
Employees male2.086Number2019
Employees female1.535Number2019
Employees foreigner479Number2019
Employees male foreigner348Number2019
Employees female foreigner131Number2019
Unemployed217Number2018
Unemployed foreigners61Number2018
Unemployed severely disabled13Number2018
Unemployed 15-206Number2018
Unemployed 15-2524Number2018
Unemployed 55-6541Number2018
Unemployed long-term59Number2018
% Unemployed2%Percentage2018
% Unemployed foreigners1%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-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers4.179Number2015
Income total€148.393Euro2015
Income tax€22.188Euro2015
PopulationValueUnitYear
Population9.402Number2019
Men4.662Number2019
Women4.740Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-181.759Number2019
18-301.284Number2019
30-451.760Number2019
45-601.954Number2019
18-604.998Number2019
60-751.544Number2019
60+2.645Number2019
Average age44Average number2019
Average age male42Average number2019
Average age female45Average number2019
Births108Number2018
Births male55Number2018
Births female53Number2018
1K Births12Number per 1000 inhabitants2018
Deaths133Number2018
Deaths male60Number2018
Deaths female73Number2018
1K Deaths14Number2018
0-3313Number2019
Girls 0-3150Number2019
Boys 0-3163Number2019
3-6317Number2019
Girls 3-6175Number2019
Boys 3-6142Number2019
6-10382Number2019
10-15452Number2019
15-18295Number2019
18-20206Number2019
20-25486Number2019
25-30592Number2019
30-35630Number2019
35-40608Number2019
40-45522Number2019
45-50546Number2019
50-55692Number2019
55-60716Number2019
60-65627Number2019
65-75917Number2019
Women 65-70450Number2019
Men 65-70467Number2019
75+1.101Number2019
Women 75+679Number2019
Men 75+422Number2019
% 0-1011%Percentage2019
% 10-188%Percentage2019
% 18-3014%Percentage2019
% 30-4519%Percentage2019
% 45-6021%Percentage2019
% 60+28%Percentage2019
Real estateValueUnitYear
Property tax A revenue€69.064Euro2018
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 amount€618.361Euro2018
Property tax A rate€300Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€422.340Euro2018
Trade tax net€1.834.676Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073315007055Code2019
Region code 8 digits07331055Code07331055
Sorting code073315007055Code073315007055
Sorting code 8 digits07331055Code07331055
Region nameOsthofenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city OsthofenName2019
Region name in GermanGemeinde Stadt OsthofenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3BCode2019
Area19Area in km²2019
ReligionValueUnitYear
Roman Catholic church2.035Number2011
Protestant church3.719Number2011
Other or none2.890Number2011
% Roman Catholic church24%Percentage2011
% Protestant church43%Percentage2011
% Other or none33%Percentage2011
Roman Catholic church German1.940Number2011
Protestant church German3.691Number2011
Other or none German2.513Number2011
% Roman Catholic church German24%Percentage2011
% Protestant church German45%Percentage2011
% Other or none German Foreign31%Percentage2011
Roman Catholic church Foreign95Number2011
Protestant church Foreign28Number2011
Other or none Foreign377Number2011
% Roman Catholic church Foreign19%Percentage2011
% Protestant church Foreign6%Percentage2011
% Other or none Foreign75%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.