Information about the municipality Wain:

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

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Population numbers in the municipality Wain 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 Wain
Map of Rural district Biberach with the population per municipality.Municipality Wain 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 Biberach with the population per municipality.Municipality Wain is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Achstetten, 2: municipality Burgrieden, 3: municipality city Laupheim, 4: municipality Schwendi, 5: municipality Wain ...Show more... Map of Rural district Biberach with the population per municipality.Municipality Wain is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Achstetten, 2: municipality Burgrieden, 3: municipality city Laupheim, 4: municipality Schwendi, 5: municipality Wain, 6: municipality Mietingen, 7: municipality Schemmerhofen, 8: municipality Unlingen, 9: municipality city Riedlingen, 10: municipality Langenenslingen, 11: municipality Uttenweiler, 12: municipality Attenweiler, 13: municipality Maselheim, 14: municipality Warthausen, 15: municipality Kirchberg an der Iller, 16: municipality Gutenzell-Hürbel, 17: municipality Altheim, 18: municipality Betzenweiler, 19: municipality Dürmentingen, 20: municipality Seekirch, 21: municipality Dettingen an der Iller, 22: municipality Alleshausen, 23: municipality Ertingen, 24: municipality Tiefenbach, 25: municipality Moosburg, 26: municipality city Biberach an der Riß, 27: municipality Erolzheim, 28: municipality Kanzach, 29: municipality Mittelbiberach, 30: municipality city Ochsenhausen, 31: municipality Oggelshausen, 32: municipality Kirchdorf an der Iller, 33: municipality city Bad Buchau, 34: municipality Dürnau, 35: municipality Ummendorf, 36: municipality Erlenmoos, 37: municipality Berkheim, 38: municipality Allmannsweiler, 39: municipality Hochdorf, 40: municipality Ingoldingen, 41: municipality Steinhausen an der Rottum, 42: municipality city Bad Schussenried, 43: municipality Tannheim, 44: municipality Rot an der Rot, 45: municipality Eberhardzell ...Show less...

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

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Municipality Wain, 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 Wain

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Municipality Wain, 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 Wain.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses3Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room4Number2019
Houses 2 rooms34Number2019
Houses 3 rooms78Number2019
Houses 4 rooms107Number2019
Houses 5 rooms148Number2019
Houses 6 rooms140Number2019
Houses 7+ rooms 188Number2019
Houses 1-2 rooms38Number2019
Houses 3-4 rooms185Number2019
Houses 5+ rooms476Number2019
1-2 rooms5%Percentage2019
3-4 rooms26%Percentage2019
5+ rooms68%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1173,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag741Number2017
Votes Bundestag CDU/CSU295Number2017
Votes Bundestag SPD90Number2017
Votes Bundestag GRÜNE50Number2017
Votes Bundestag FDP102Number2017
Votes Bundestag DIE LINKE34Number2017
Votes Bundestag AfD133Number2017
Votes Bundestag other parties37Number2017
Votes Bundestag total741Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD8%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP9%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD11%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees706Number2019
Employees male420Number2019
Employees female286Number2019
Employees foreigner73Number2019
Employees male foreigner55Number2019
Employees female foreigner18Number2019
Unemployed12Number2018
Unemployed foreigners3Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-653Number2018
Unemployed long-term3Number2018
% 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 receivers775Number2015
Income total€31.562Euro2015
Income tax€6.350Euro2015
PopulationValueUnitYear
Population1.646Number2019
Men849Number2019
Women797Number2019
% Men52%Percentage2019
% Women48%Percentage2019
0-18333Number2019
18-30231Number2019
30-45320Number2019
45-60358Number2019
18-60909Number2019
60-75264Number2019
60+404Number2019
Average age42Average number2019
Average age male41Average number2019
Average age female42Average number2019
Births18Number2018
Births male4Number2018
Births female14Number2018
1K Births11Number per 1000 inhabitants2018
Deaths8Number2018
Deaths male4Number2018
Deaths female4Number2018
1K Deaths5Number2018
0-357Number2019
Girls 0-338Number2019
Boys 0-319Number2019
3-646Number2019
Girls 3-624Number2019
Boys 3-622Number2019
6-1070Number2019
10-15102Number2019
15-1858Number2019
18-2041Number2019
20-2582Number2019
25-30108Number2019
30-35101Number2019
35-40119Number2019
40-45100Number2019
45-50111Number2019
50-55123Number2019
55-60124Number2019
60-65103Number2019
65-75161Number2019
Women 65-7075Number2019
Men 65-7086Number2019
75+140Number2019
Women 75+79Number2019
Men 75+61Number2019
% 0-1011%Percentage2019
% 10-1810%Percentage2019
% 18-3014%Percentage2019
% 30-4519%Percentage2019
% 45-6022%Percentage2019
% 60+25%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 code084265009125Code2019
Region code 8 digits08426125Code08426125
Sorting code084265009125Code084265009125
Sorting code 8 digits08426125Code08426125
Region nameWainName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality WainName2019
Region name in GermanGemeinde WainName2019
Direct subregionsno dataNumber2019
NUTS codeDE146Code2019
Area20Area in km²2019
ReligionValueUnitYear
Roman Catholic church461Number2011
Protestant church737Number2011
Other or none333Number2011
% Roman Catholic church30%Percentage2011
% Protestant church48%Percentage2011
% Other or none22%Percentage2011
Roman Catholic church German402Number2011
Protestant church German731Number2011
Other or none German299Number2011
% Roman Catholic church German28%Percentage2011
% Protestant church German51%Percentage2011
% Other or none German Foreign21%Percentage2011
Roman Catholic church Foreign59Number2011
Protestant church Foreign6Number2011
Other or none Foreign34Number2011
% Roman Catholic church Foreign60%Percentage2011
% Protestant church Foreign6%Percentage2011
% Other or none Foreign34%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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