Information about the municipality city Willich:

View the information on over 100 topics about the municipality city Willich! 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 Willich! 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 Willich

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Population numbers in the municipality city Willich 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 Willich
Map of District Viersen with the population per municipality.Municipality Willich 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 District Viersen with the population per municipality.Municipality Willich is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Kempen, 2: municipality Grefrath, 3: municipality city Tönisvorst, 4: municipality city Nettetal, 5: municipality Brüggen, 6: municipality city Viersen, 7: municipality city Willich, 8: municipality Schwalmtal, 9: municipality Niederkrüchten.

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

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Municipality city Willich, 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 Willich

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Municipality city Willich, 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 Willich.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses37Number2017
Active persons2.876Number2017
Gross wages€129.006Euro2017
DwellingsValueUnitYear
Houses 1 room294Number2019
Houses 2 rooms1.613Number2019
Houses 3 rooms4.764Number2019
Houses 4 rooms5.648Number2019
Houses 5 rooms5.025Number2019
Houses 6 rooms3.549Number2019
Houses 7+ rooms 2.884Number2019
Houses 1-2 rooms1.907Number2019
Houses 3-4 rooms10.412Number2019
Houses 5+ rooms11.458Number2019
1-2 rooms8%Percentage2019
3-4 rooms44%Percentage2019
5+ rooms48%Percentage2019
ElectionsValueUnitYear
Voters Bundestag38954,00Number2017
Voter turnout Bundestag79Number2017
Votes valid Bundestag30.641Number2017
Votes Bundestag CDU/CSU11.293Number2017
Votes Bundestag SPD6.294Number2017
Votes Bundestag GRÜNE2.257Number2017
Votes Bundestag FDP5.588Number2017
Votes Bundestag DIE LINKE1.800Number2017
Votes Bundestag AfD2.312Number2017
Votes Bundestag other parties1.097Number2017
Votes Bundestag total30.641Number2017
% Votes Bundestag CDU/CSU29%Percentage2017
% Votes Bundestag SPD16%Percentage2017
% Votes Bundestag GRÜNE6%Percentage2017
% Votes Bundestag FDP14%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees19.928Number2019
Employees male10.743Number2019
Employees female9.185Number2019
Employees foreigner1.765Number2019
Employees male foreigner1.164Number2019
Employees female foreigner601Number2019
Unemployed1.166Number2018
Unemployed foreigners220Number2018
Unemployed severely disabled98Number2018
Unemployed 15-2013Number2018
Unemployed 15-2586Number2018
Unemployed 55-65339Number2018
Unemployed long-term387Number2018
% Unemployed2%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 receivers24.804Number2015
Income total€1.122.446Euro2015
Income tax€217.421Euro2015
PopulationValueUnitYear
Population50.592Number2019
Men24.696Number2019
Women25.896Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-188.325Number2019
18-306.046Number2019
30-458.483Number2019
45-6013.664Number2019
18-6028.193Number2019
60-758.373Number2019
60+14.074Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female46Average number2019
Births380Number2018
Births male212Number2018
Births female168Number2018
1K Births7Number per 1000 inhabitants2018
Deaths481Number2018
Deaths male227Number2018
Deaths female254Number2018
1K Deaths9Number2018
0-31.300Number2019
Girls 0-3619Number2019
Boys 0-3681Number2019
3-61.318Number2019
Girls 3-6640Number2019
Boys 3-6678Number2019
6-101.752Number2019
10-152.334Number2019
15-181.621Number2019
18-201.043Number2019
20-252.594Number2019
25-302.409Number2019
30-352.537Number2019
35-403.005Number2019
40-452.941Number2019
45-503.804Number2019
50-555.248Number2019
55-604.612Number2019
60-653.514Number2019
65-754.859Number2019
Women 65-702.587Number2019
Men 65-702.272Number2019
75+5.701Number2019
Women 75+3.368Number2019
Men 75+2.333Number2019
% 0-109%Percentage2019
% 10-188%Percentage2019
% 18-3012%Percentage2019
% 30-4517%Percentage2019
% 45-6027%Percentage2019
% 60+28%Percentage2019
Real estateValueUnitYear
Property tax A revenue€167.381Euro2018
Property tax B revenue€9.688.403Euro2018
Trade tax actual revenue€38.574.983Euro2018
Property tax A basic amount€64.377Euro2018
Property tax B basic amount€1.957.253Euro2018
Trade tax basic amount€8.787.012Euro2018
Property tax A rate€260Euro2018
Property tax B rate€495Euro2018
Trade tax rate€439Euro2018
Real tax raising force€44.792.015Euro2018
Trade tax levy€6.379.412Euro2018
Trade tax net€32.195.571Euro2018
Community share in income tax€30.452.731Euro2018
Community share in sales tax€4.337.698Euro2018
Tax revenue€73.203.032Euro2018
RegionalValueUnitYear
Region code051660036036Code2019
Region code 8 digits05166036Code05166036
Sorting code051660036036Code051660036036
Sorting code 8 digits05166036Code05166036
Region nameWillichName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city WillichName2019
Region name in GermanGemeinde Stadt WillichName2019
Direct subregionsno dataNumber2019
NUTS codeDEA1ECode2019
Area68Area in km²2019
ReligionValueUnitYear
Roman Catholic church24.937Number2011
Protestant church10.793Number2011
Other or none14.978Number2011
% Roman Catholic church49%Percentage2011
% Protestant church21%Percentage2011
% Other or none30%Percentage2011
Roman Catholic church German24.151Number2011
Protestant church German10.683Number2011
Other or none German12.791Number2011
% Roman Catholic church German51%Percentage2011
% Protestant church German22%Percentage2011
% Other or none German Foreign27%Percentage2011
Roman Catholic church Foreign786Number2011
Protestant church Foreign110Number2011
Other or none Foreign2.187Number2011
% Roman Catholic church Foreign25%Percentage2011
% Protestant church Foreign4%Percentage2011
% Other or none Foreign71%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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