Information about the municipality city Schwetzingen:

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

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

Population numbers in the municipality city Schwetzingen 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 Schwetzingen
Map of Rural district Rhein-Neckar-Kreis with the population per municipality.Municipality Schwetzingen 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 Rhein-Neckar-Kreis with the population per municipality.Municipality Schwetzingen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Laudenbach, 2: municipality city Hemsbach, 3: municipality city Weinheim, 4: municipality Heddesheim, 5: municipality Hirschberg an der Bergstraße ...Show more... Map of Rural district Rhein-Neckar-Kreis with the population per municipality.Municipality Schwetzingen is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Laudenbach, 2: municipality city Hemsbach, 3: municipality city Weinheim, 4: municipality Heddesheim, 5: municipality Hirschberg an der Bergstraße, 6: municipality Heiligkreuzsteinach, 7: municipality Heddesbach, 8: municipality Ilvesheim, 9: municipality city Schriesheim, 10: municipality city Ladenburg, 11: municipality city Eberbach, 12: municipality Wilhelmsfeld, 13: municipality Dossenheim, 14: municipality Edingen-Neckarhausen, 15: municipality city Schönau, 16: municipality Schönbrunn, 17: municipality Plankstadt, 18: municipality city Eppelheim, 19: municipality Brühl, 20: municipality city Neckargemünd, 21: municipality city Schwetzingen, 22: municipality Lobbach, 23: municipality Ketsch, 24: municipality Gaiberg, 25: municipality Reichartshausen, 26: municipality Wiesenbach, 27: municipality Oftersheim, 28: municipality Bammental, 29: municipality Spechbach, 30: municipality Epfenbach, 31: municipality city Leimen, 32: municipality Sandhausen, 33: municipality Mauer, 34: municipality Meckesheim, 35: municipality city Hockenheim, 36: municipality Nußloch, 37: municipality Helmstadt-Bargen, 38: municipality Eschelbronn, 39: municipality Neidenstein, 40: municipality city Walldorf, 41: municipality city Wiesloch, 42: municipality Zuzenhausen, 43: municipality Altlußheim, 44: municipality Reilingen, 45: municipality Neulußheim, 46: municipality city Waibstadt, 47: municipality city Neckarbischofsheim, 48: municipality Dielheim, 49: municipality St. Leon-Rot, 50: municipality city Rauenberg, 51: municipality Mühlhausen, 52: municipality Malsch, 53: municipality city Sinsheim, 54: municipality Angelbachtal ...Show less...

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

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

Municipality city Schwetzingen, 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 Schwetzingen

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

Municipality city Schwetzingen, 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 Schwetzingen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses8Number2017
Active persons763Number2017
Gross wages€32.708Euro2017
DwellingsValueUnitYear
Houses 1 room518Number2019
Houses 2 rooms1.301Number2019
Houses 3 rooms3.289Number2019
Houses 4 rooms3.244Number2019
Houses 5 rooms1.653Number2019
Houses 6 rooms938Number2019
Houses 7+ rooms 938Number2019
Houses 1-2 rooms1.819Number2019
Houses 3-4 rooms6.533Number2019
Houses 5+ rooms3.529Number2019
1-2 rooms15%Percentage2019
3-4 rooms55%Percentage2019
5+ rooms30%Percentage2019
ElectionsValueUnitYear
Voters Bundestag15487,00Number2017
Voter turnout Bundestag73Number2017
Votes valid Bundestag8.764Number2017
Votes Bundestag CDU/CSU2.649Number2017
Votes Bundestag SPD1.650Number2017
Votes Bundestag GRÜNE1.072Number2017
Votes Bundestag FDP1.091Number2017
Votes Bundestag DIE LINKE712Number2017
Votes Bundestag AfD1.203Number2017
Votes Bundestag other parties387Number2017
Votes Bundestag total8.764Number2017
% Votes Bundestag CDU/CSU17%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE7%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE5%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees9.200Number2019
Employees male4.872Number2019
Employees female4.328Number2019
Employees foreigner1.622Number2019
Employees male foreigner980Number2019
Employees female foreigner642Number2019
Unemployed600Number2018
Unemployed foreigners206Number2018
Unemployed severely disabled59Number2018
Unemployed 15-208Number2018
Unemployed 15-2540Number2018
Unemployed 55-65149Number2018
Unemployed long-term187Number2018
% Unemployed3%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 receivers11.488Number2015
Income total€526.321Euro2015
Income tax€108.146Euro2015
PopulationValueUnitYear
Population21.433Number2019
Men10.375Number2019
Women11.058Number2019
% Men48%Percentage2019
% Women52%Percentage2019
0-183.314Number2019
18-302.862Number2019
30-454.407Number2019
45-604.979Number2019
18-6012.248Number2019
60-753.584Number2019
60+5.871Number2019
Average age44Average number2019
Average age male43Average number2019
Average age female46Average number2019
Births228Number2018
Births male113Number2018
Births female115Number2018
1K Births11Number per 1000 inhabitants2018
Deaths173Number2018
Deaths male94Number2018
Deaths female79Number2018
1K Deaths8Number2018
0-3657Number2019
Girls 0-3330Number2019
Boys 0-3327Number2019
3-6585Number2019
Girls 3-6280Number2019
Boys 3-6305Number2019
6-10723Number2019
10-15858Number2019
15-18491Number2019
18-20389Number2019
20-251.040Number2019
25-301.433Number2019
30-351.653Number2019
35-401.460Number2019
40-451.294Number2019
45-501.483Number2019
50-551.713Number2019
55-601.783Number2019
60-651.403Number2019
65-752.181Number2019
Women 65-701.165Number2019
Men 65-701.016Number2019
75+2.287Number2019
Women 75+1.371Number2019
Men 75+916Number2019
% 0-109%Percentage2019
% 10-186%Percentage2019
% 18-3013%Percentage2019
% 30-4521%Percentage2019
% 45-6023%Percentage2019
% 60+27%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 code082260084084Code2019
Region code 8 digits08226084Code08226084
Sorting code082260084084Code082260084084
Sorting code 8 digits08226084Code08226084
Region nameSchwetzingenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city SchwetzingenName2019
Region name in GermanGemeinde Stadt SchwetzingenName2019
Direct subregionsno dataNumber2019
NUTS codeDE128Code2019
Area22Area in km²2019
ReligionValueUnitYear
Roman Catholic church6.632Number2011
Protestant church6.611Number2011
Other or none7.823Number2011
% Roman Catholic church31%Percentage2011
% Protestant church31%Percentage2011
% Other or none37%Percentage2011
Roman Catholic church German5.920Number2011
Protestant church German6.525Number2011
Other or none German6.127Number2011
% Roman Catholic church German32%Percentage2011
% Protestant church German35%Percentage2011
% Other or none German Foreign33%Percentage2011
Roman Catholic church Foreign712Number2011
Protestant church Foreign86Number2011
Other or none Foreign1.696Number2011
% Roman Catholic church Foreign29%Percentage2011
% Protestant church Foreign3%Percentage2011
% Other or none Foreign68%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.