Information about the municipality city Nettetal:

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

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Population numbers in the municipality city Nettetal 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 Nettetal
Map of District Viersen with the population per municipality.Municipality Nettetal 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 Nettetal 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 Nettetal

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Municipality city Nettetal, 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 Nettetal

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Municipality city Nettetal, 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 Nettetal.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses25Number2017
Active persons1.426Number2017
Gross wages€50.619Euro2017
DwellingsValueUnitYear
Houses 1 room297Number2019
Houses 2 rooms1.424Number2019
Houses 3 rooms3.578Number2019
Houses 4 rooms4.747Number2019
Houses 5 rooms4.265Number2019
Houses 6 rooms2.705Number2019
Houses 7+ rooms 2.765Number2019
Houses 1-2 rooms1.721Number2019
Houses 3-4 rooms8.325Number2019
Houses 5+ rooms9.735Number2019
1-2 rooms9%Percentage2019
3-4 rooms42%Percentage2019
5+ rooms49%Percentage2019
ElectionsValueUnitYear
Voters Bundestag30676,00Number2017
Voter turnout Bundestag75Number2017
Votes valid Bundestag22.722Number2017
Votes Bundestag CDU/CSU9.130Number2017
Votes Bundestag SPD4.930Number2017
Votes Bundestag GRÜNE1.299Number2017
Votes Bundestag FDP3.636Number2017
Votes Bundestag DIE LINKE1.256Number2017
Votes Bundestag AfD1.726Number2017
Votes Bundestag other parties745Number2017
Votes Bundestag total22.722Number2017
% Votes Bundestag CDU/CSU30%Percentage2017
% Votes Bundestag SPD16%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP12%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees15.340Number2019
Employees male8.150Number2019
Employees female7.190Number2019
Employees foreigner1.615Number2019
Employees male foreigner999Number2019
Employees female foreigner616Number2019
Unemployed1.509Number2018
Unemployed foreigners401Number2018
Unemployed severely disabled123Number2018
Unemployed 15-2022Number2018
Unemployed 15-25117Number2018
Unemployed 55-65409Number2018
Unemployed long-term616Number2018
% Unemployed4%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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers20.220Number2015
Income total€696.116Euro2015
Income tax€112.567Euro2015
PopulationValueUnitYear
Population42.493Number2019
Men20.981Number2019
Women21.512Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-186.733Number2019
18-305.795Number2019
30-457.363Number2019
45-6010.538Number2019
18-6023.696Number2019
60-757.464Number2019
60+12.064Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female46Average number2019
Births356Number2018
Births male187Number2018
Births female169Number2018
1K Births8Number per 1000 inhabitants2018
Deaths464Number2018
Deaths male215Number2018
Deaths female249Number2018
1K Deaths11Number2018
0-31.147Number2019
Girls 0-3555Number2019
Boys 0-3592Number2019
3-61.081Number2019
Girls 3-6529Number2019
Boys 3-6552Number2019
6-101.400Number2019
10-151.930Number2019
15-181.175Number2019
18-20910Number2019
20-252.339Number2019
25-302.546Number2019
30-352.485Number2019
35-402.475Number2019
40-452.403Number2019
45-503.130Number2019
50-553.931Number2019
55-603.477Number2019
60-652.964Number2019
65-754.500Number2019
Women 65-702.368Number2019
Men 65-702.132Number2019
75+4.600Number2019
Women 75+2.649Number2019
Men 75+1.951Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3014%Percentage2019
% 30-4517%Percentage2019
% 45-6025%Percentage2019
% 60+28%Percentage2019
Real estateValueUnitYear
Property tax A revenue€217.227Euro2018
Property tax B revenue€6.647.875Euro2018
Trade tax actual revenue€17.351.933Euro2018
Property tax A basic amount€90.511Euro2018
Property tax B basic amount€1.477.306Euro2018
Trade tax basic amount€4.232.179Euro2018
Property tax A rate€240Euro2018
Property tax B rate€450Euro2018
Trade tax rate€410Euro2018
Real tax raising force€24.300.663Euro2018
Trade tax levy€3.072.554Euro2018
Trade tax net€14.279.379Euro2018
Community share in income tax€18.170.666Euro2018
Community share in sales tax€2.689.744Euro2018
Tax revenue€42.088.519Euro2018
RegionalValueUnitYear
Region code051660016016Code2019
Region code 8 digits05166016Code05166016
Sorting code051660016016Code051660016016
Sorting code 8 digits05166016Code05166016
Region nameNettetalName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city NettetalName2019
Region name in GermanGemeinde Stadt NettetalName2019
Direct subregionsno dataNumber2019
NUTS codeDEA1ECode2019
Area84Area in km²2019
ReligionValueUnitYear
Roman Catholic church25.194Number2011
Protestant church6.935Number2011
Other or none9.288Number2011
% Roman Catholic church61%Percentage2011
% Protestant church17%Percentage2011
% Other or none22%Percentage2011
Roman Catholic church German23.927Number2011
Protestant church German6.850Number2011
Other or none German6.954Number2011
% Roman Catholic church German63%Percentage2011
% Protestant church German18%Percentage2011
% Other or none German Foreign18%Percentage2011
Roman Catholic church Foreign1.267Number2011
Protestant church Foreign85Number2011
Other or none Foreign2.334Number2011
% Roman Catholic church Foreign34%Percentage2011
% Protestant church Foreign2%Percentage2011
% Other or none Foreign63%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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