Information about the municipality city Höxter:

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

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Population numbers in the municipality city Höxter 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 Höxter
Map of District Höxter with the population per municipality.Municipality Höxter 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 Höxter with the population per municipality.Municipality Höxter is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Steinheim, 2: municipality city Marienmünster, 3: municipality city Nieheim, 4: municipality city Höxter, 5: municipality city Bad Driburg, 6: municipality city Brakel, 7: municipality city Beverungen, 8: municipality city Willebadessen, 9: municipality city Borgentreich, 10: municipality city Warburg.

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

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Municipality city Höxter, 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 Höxter

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Municipality city Höxter, 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 Höxter.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses17Number2017
Active persons1.866Number2017
Gross wages€71.956Euro2017
DwellingsValueUnitYear
Houses 1 room236Number2019
Houses 2 rooms912Number2019
Houses 3 rooms2.470Number2019
Houses 4 rooms3.417Number2019
Houses 5 rooms2.543Number2019
Houses 6 rooms2.192Number2019
Houses 7+ rooms 3.227Number2019
Houses 1-2 rooms1.148Number2019
Houses 3-4 rooms5.887Number2019
Houses 5+ rooms7.962Number2019
1-2 rooms8%Percentage2019
3-4 rooms39%Percentage2019
5+ rooms53%Percentage2019
ElectionsValueUnitYear
Voters Bundestag23430,00Number2017
Voter turnout Bundestag76Number2017
Votes valid Bundestag17.712Number2017
Votes Bundestag CDU/CSU7.314Number2017
Votes Bundestag SPD4.099Number2017
Votes Bundestag GRÜNE1.042Number2017
Votes Bundestag FDP2.221Number2017
Votes Bundestag DIE LINKE998Number2017
Votes Bundestag AfD1.542Number2017
Votes Bundestag other parties496Number2017
Votes Bundestag total17.712Number2017
% Votes Bundestag CDU/CSU31%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP9%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees11.233Number2019
Employees male6.228Number2019
Employees female5.005Number2019
Employees foreigner546Number2019
Employees male foreigner377Number2019
Employees female foreigner169Number2019
Unemployed587Number2018
Unemployed foreigners88Number2018
Unemployed severely disabled55Number2018
Unemployed 15-207Number2018
Unemployed 15-2559Number2018
Unemployed 55-65150Number2018
Unemployed long-term212Number2018
% 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 receivers13.648Number2015
Income total€509.065Euro2015
Income tax€81.922Euro2015
PopulationValueUnitYear
Population28.824Number2019
Men14.273Number2019
Women14.551Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-184.515Number2019
18-303.717Number2019
30-454.646Number2019
45-606.827Number2019
18-6015.190Number2019
60-755.341Number2019
60+9.119Number2019
Average age46Average number2019
Average age male45Average number2019
Average age female48Average number2019
Births236Number2018
Births male136Number2018
Births female100Number2018
1K Births8Number per 1000 inhabitants2018
Deaths375Number2018
Deaths male174Number2018
Deaths female201Number2018
1K Deaths13Number2018
0-3732Number2019
Girls 0-3361Number2019
Boys 0-3371Number2019
3-6676Number2019
Girls 3-6331Number2019
Boys 3-6345Number2019
6-10903Number2019
10-151.330Number2019
15-18874Number2019
18-20597Number2019
20-251.645Number2019
25-301.475Number2019
30-351.623Number2019
35-401.537Number2019
40-451.486Number2019
45-501.812Number2019
50-552.515Number2019
55-602.500Number2019
60-652.138Number2019
65-753.203Number2019
Women 65-701.681Number2019
Men 65-701.522Number2019
75+3.778Number2019
Women 75+2.235Number2019
Men 75+1.543Number2019
% 0-108%Percentage2019
% 10-188%Percentage2019
% 18-3013%Percentage2019
% 30-4516%Percentage2019
% 45-6024%Percentage2019
% 60+32%Percentage2019
Real estateValueUnitYear
Property tax A revenue€122.089Euro2018
Property tax B revenue€4.213.499Euro2018
Trade tax actual revenue€10.220.834Euro2018
Property tax A basic amount€48.448Euro2018
Property tax B basic amount€953.280Euro2018
Trade tax basic amount€2.393.638Euro2018
Property tax A rate€252Euro2018
Property tax B rate€442Euro2018
Trade tax rate€427Euro2018
Real tax raising force€14.290.814Euro2018
Trade tax levy€1.739.580Euro2018
Trade tax net€8.481.254Euro2018
Community share in income tax€12.464.784Euro2018
Community share in sales tax€2.430.213Euro2018
Tax revenue€27.446.231Euro2018
RegionalValueUnitYear
Region code057620020020Code2019
Region code 8 digits05762020Code05762020
Sorting code057620020020Code057620020020
Sorting code 8 digits05762020Code05762020
Region nameHöxterName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city HöxterName2019
Region name in GermanGemeinde Stadt HöxterName2019
Direct subregionsno dataNumber2019
NUTS codeDEA44Code2019
Area158Area in km²2019
ReligionValueUnitYear
Roman Catholic church17.371Number2011
Protestant church7.122Number2011
Other or none5.673Number2011
% Roman Catholic church58%Percentage2011
% Protestant church24%Percentage2011
% Other or none19%Percentage2011
Roman Catholic church German17.157Number2011
Protestant church German7.083Number2011
Other or none German5.053Number2011
% Roman Catholic church German59%Percentage2011
% Protestant church German24%Percentage2011
% Other or none German Foreign17%Percentage2011
Roman Catholic church Foreign214Number2011
Protestant church Foreign39Number2011
Other or none Foreign620Number2011
% 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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