Information about the municipality Schönborn:

Population numbers per year
The number of inhabitants in the municipality Schönborn

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Population numbers in the municipality Schönborn 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 Schönborn
Map of Rural district Donnersbergkreis with the population per municipality.Municipality Schönborn 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 Donnersbergkreis with the population per municipality.Municipality Schönborn is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Winterborn, 2: municipality Niederhausen an der Appel, 3: municipality Niedermoschel, 4: municipality Mörsfeld, 5: municipality Kalkofen ...Show more... Map of Rural district Donnersbergkreis with the population per municipality.Municipality Schönborn is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Winterborn, 2: municipality Niederhausen an der Appel, 3: municipality Niedermoschel, 4: municipality Mörsfeld, 5: municipality Kalkofen, 6: municipality Münsterappel, 7: municipality city Obermoschel, 8: municipality Alsenz, 9: municipality Oberhausen an der Appel, 10: municipality Unkenbach, 11: municipality Sitters, 12: municipality Oberndorf, 13: municipality Gaugrehweiler, 14: municipality Kriegsfeld, 15: municipality Oberwiesen, 16: municipality Morschheim, 17: municipality Schiersfeld, 18: municipality Mannweiler-Cölln, 19: municipality Ilbesheim, 20: municipality Orbis, 21: municipality Sankt Alban, 22: municipality Finkenbach-Gersweiler, 23: municipality Bayerfeld-Steckweiler, 24: municipality Gerbach, 25: municipality Stetten, 26: municipality Bischheim, 27: municipality Rittersheim, 28: municipality Dielkirchen, 29: municipality city Kirchheimbolanden, 30: municipality Stahlberg, 31: municipality Waldgrehweiler, 32: municipality Einselthum, 33: municipality Gauersheim, 34: municipality Ransweiler, 35: municipality Ruppertsecken, 36: municipality Würzweiler, 37: municipality Katzenbach, 38: municipality Albisheim (Pfrimm), 39: municipality Bisterschied, 40: municipality Schönborn, 41: municipality Zellertal, 42: municipality Bolanden, 43: municipality Immesheim, 44: municipality Teschenmoschel, 45: municipality Dannenfels, 46: municipality Bubenheim, 47: municipality city Rockenhausen, 48: municipality Ottersheim, 49: municipality Bennhausen, 50: municipality Marnheim, 51: municipality Dörrmoschel, 52: municipality Rüssingen, 53: municipality Jakobsweiler, 54: municipality Rathskirchen, 55: municipality Weitersweiler, 56: municipality Falkenstein, 57: municipality Biedesheim, 58: municipality Imsweiler, 59: municipality Steinbach am Donnersberg, 60: municipality Seelen, 61: municipality Dreisen, 62: municipality Standenbühl, 63: municipality Reichsthal, 64: municipality Schweisweiler, 65: municipality Imsbach, 66: municipality Göllheim, 67: municipality Gundersweiler, 68: municipality Lautersheim, 69: municipality Börrstadt, 70: municipality Gehrweiler, 71: municipality Breunigweiler, 72: municipality Kerzenheim, 73: municipality Winnweiler, 74: municipality Höringen, 75: municipality Lohnsfeld, 76: municipality city Eisenberg (Pfalz), 77: municipality Sippersfeld, 78: municipality Gonbach, 79: municipality Münchweiler an der Alsenz, 80: municipality Wartenberg-Rohrbach, 81: municipality Ramsen ...Show less...

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

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Municipality Schönborn, 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 Schönborn

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Municipality Schönborn, 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 Schönborn.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms1Number2019
Houses 3 rooms2Number2019
Houses 4 rooms5Number2019
Houses 5 rooms15Number2019
Houses 6 rooms11Number2019
Houses 7+ rooms 22Number2019
Houses 1-2 rooms1Number2019
Houses 3-4 rooms7Number2019
Houses 5+ rooms48Number2019
1-2 rooms2%Percentage2019
3-4 rooms12%Percentage2019
5+ rooms86%Percentage2019
ElectionsValueUnitYear
Voters Bundestag109,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag60Number2017
Votes Bundestag CDU/CSU22Number2017
Votes Bundestag SPD12Number2017
Votes Bundestag GRÜNE6Number2017
Votes Bundestag FDP6Number2017
Votes Bundestag DIE LINKE6Number2017
Votes Bundestag AfD6Number2017
Votes Bundestag other parties2Number2017
Votes Bundestag total60Number2017
% Votes Bundestag CDU/CSU20%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE6%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE6%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees45Number2019
Employees male22Number2019
Employees female23Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed4Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term1Number2018
% Unemployed3%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 receivers63Number2015
Income total€2.303Euro2015
Income tax€327Euro2015
PopulationValueUnitYear
Population134Number2019
Men70Number2019
Women64Number2019
% Men52%Percentage2019
% Women48%Percentage2019
0-1815Number2019
18-3016Number2019
30-4523Number2019
45-6033Number2019
18-6072Number2019
60-7530Number2019
60+47Number2019
Average age49Average number2019
Average age male50Average number2019
Average age female49Average number2019
Births1Number2018
Births male0Number2018
Births female1Number2018
1K Births7Number per 1000 inhabitants2018
Deathsno dataNumber2016
Deaths maleno dataNumber2016
Deaths femaleno dataNumber2016
1K Deathsno dataNumber2016
0-33Number2019
Girls 0-32Number2019
Boys 0-31Number2019
3-61Number2019
Girls 3-60Number2019
Boys 3-61Number2019
6-103Number2019
10-157Number2019
15-181Number2019
18-201Number2019
20-257Number2019
25-308Number2019
30-355Number2019
35-405Number2019
40-4513Number2019
45-509Number2019
50-5511Number2019
55-6013Number2019
60-6512Number2019
65-7518Number2019
Women 65-7010Number2019
Men 65-708Number2019
75+17Number2019
Women 75+7Number2019
Men 75+10Number2019
% 0-105%Percentage2019
% 10-186%Percentage2019
% 18-3012%Percentage2019
% 30-4517%Percentage2019
% 45-6025%Percentage2019
% 60+35%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 amount€1.947Euro2018
Property tax A rate€340Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€1.330Euro2018
Trade tax net€5.778Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335005068Code2019
Region code 8 digits07333068Code07333068
Sorting code073335005068Code073335005068
Sorting code 8 digits07333068Code07333068
Region nameSchönbornName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SchönbornName2019
Region name in GermanGemeinde SchönbornName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area3Area in km²2019
ReligionValueUnitYear
Roman Catholic church12Number2011
Protestant church105Number2011
Other or none12Number2011
% Roman Catholic church9%Percentage2011
% Protestant church83%Percentage2011
% Other or none9%Percentage2011
Roman Catholic church German12Number2011
Protestant church German102Number2011
Other or none German12Number2011
% Roman Catholic church German10%Percentage2011
% Protestant church German81%Percentage2011
% Other or none German Foreign10%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign3Number2011
Other or none Foreign0Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign100%Percentage2011
% Other or none Foreign0%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.