Information about the municipality Stadland:

Information about the municipality Stadland:

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

One moment please, your device is loading the charts...

Population numbers in the municipality Stadland 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 Stadland
Map of Rural district Wesermarsch with the population per municipality.Municipality Stadland 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 Wesermarsch with the population per municipality.Municipality Stadland is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Butjadingen, 2: municipality city Nordenham, 3: municipality Stadland, 4: municipality Jade, 5: municipality city Brake (Unterweser), 6: municipality Ovelgönne, 7: municipality city Elsfleth, 8: municipality Berne, 9: municipality Lemwerder.

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

One moment please, your device is loading the charts...

Municipality Stadland, 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 Stadland

One moment please, your device is loading the charts...

Municipality Stadland, 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 Stadland.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room24Number2019
Houses 2 rooms82Number2019
Houses 3 rooms362Number2019
Houses 4 rooms660Number2019
Houses 5 rooms879Number2019
Houses 6 rooms706Number2019
Houses 7+ rooms 935Number2019
Houses 1-2 rooms106Number2019
Houses 3-4 rooms1.022Number2019
Houses 5+ rooms2.520Number2019
1-2 rooms3%Percentage2019
3-4 rooms28%Percentage2019
5+ rooms69%Percentage2019
ElectionsValueUnitYear
Voters Bundestag5997,00Number2017
Voter turnout Bundestag73Number2017
Votes valid Bundestag4.331Number2017
Votes Bundestag CDU/CSU1.620Number2017
Votes Bundestag SPD1.348Number2017
Votes Bundestag GRÜNE258Number2017
Votes Bundestag FDP425Number2017
Votes Bundestag DIE LINKE217Number2017
Votes Bundestag AfD319Number2017
Votes Bundestag other parties144Number2017
Votes Bundestag total4.331Number2017
% Votes Bundestag CDU/CSU27%Percentage2017
% Votes Bundestag SPD22%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD5%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees2.912Number2019
Employees male1.682Number2019
Employees female1.230Number2019
Employees foreigner131Number2019
Employees male foreigner87Number2019
Employees female foreigner44Number2019
Unemployed181Number2018
Unemployed foreigners16Number2018
Unemployed severely disabled9Number2018
Unemployed 15-204Number2018
Unemployed 15-2516Number2018
Unemployed 55-6552Number2018
Unemployed long-term74Number2018
% 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 receivers3.654Number2015
Income total€128.427Euro2015
Income tax€19.500Euro2015
PopulationValueUnitYear
Population7.428Number2019
Men3.771Number2019
Women3.657Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-181.199Number2019
18-30884Number2019
30-451.144Number2019
45-601.824Number2019
18-603.852Number2019
60-751.503Number2019
60+2.377Number2019
Average age46Average number2019
Average age male45Average number2019
Average age female48Average number2019
Births68Number2018
Births male42Number2018
Births female26Number2018
1K Births9Number per 1000 inhabitants2018
Deaths89Number2018
Deaths male46Number2018
Deaths female43Number2018
1K Deaths12Number2018
0-3189Number2019
Girls 0-389Number2019
Boys 0-3100Number2019
3-6193Number2019
Girls 3-686Number2019
Boys 3-6107Number2019
6-10261Number2019
10-15329Number2019
15-18227Number2019
18-20152Number2019
20-25353Number2019
25-30379Number2019
30-35388Number2019
35-40366Number2019
40-45390Number2019
45-50524Number2019
50-55647Number2019
55-60653Number2019
60-65549Number2019
65-75954Number2019
Women 65-70459Number2019
Men 65-70495Number2019
75+874Number2019
Women 75+498Number2019
Men 75+376Number2019
% 0-109%Percentage2019
% 10-187%Percentage2019
% 18-3012%Percentage2019
% 30-4515%Percentage2019
% 45-6025%Percentage2019
% 60+32%Percentage2019
Real estateValueUnitYear
Property tax A revenue€206.365Euro2018
Property tax B revenue€927.294Euro2018
Trade tax actual revenue€4.942.659Euro2018
Property tax A basic amount€50.580Euro2018
Property tax B basic amount€227.278Euro2018
Trade tax basic amount€1.251.306Euro2018
Property tax A rate€408Euro2018
Property tax B rate€408Euro2018
Trade tax rate€395Euro2018
Real tax raising force€6.276.102Euro2018
Trade tax levy€854.642Euro2018
Trade tax net€4.088.017Euro2018
Community share in income tax€3.355.934Euro2018
Community share in sales tax€457.394Euro2018
Tax revenue€9.234.788Euro2018
RegionalValueUnitYear
Region code034610009009Code2019
Region code 8 digits03461009Code03461009
Sorting code034610009009Code034610009009
Sorting code 8 digits03461009Code03461009
Region nameStadlandName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality StadlandName2019
Region name in GermanGemeinde StadlandName2019
Direct subregionsno dataNumber2019
NUTS codeDE94GCode2019
Area114Area in km²2019
ReligionValueUnitYear
Roman Catholic church468Number2011
Protestant church4.834Number2011
Other or none2.290Number2011
% Roman Catholic church6%Percentage2011
% Protestant church64%Percentage2011
% Other or none30%Percentage2011
Roman Catholic church German424Number2011
Protestant church German4.800Number2011
Other or none German2.194Number2011
% Roman Catholic church German6%Percentage2011
% Protestant church German65%Percentage2011
% Other or none German Foreign30%Percentage2011
Roman Catholic church Foreign44Number2011
Protestant church Foreign34Number2011
Other or none Foreign96Number2011
% Roman Catholic church Foreign25%Percentage2011
% Protestant church Foreign20%Percentage2011
% Other or none Foreign55%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.