Information about the municipality Biedesheim:

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

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Population numbers in the municipality Biedesheim 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 Biedesheim
Map of Rural district Donnersbergkreis with the population per municipality.Municipality Biedesheim 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 Biedesheim 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 Biedesheim 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 Biedesheim

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Municipality Biedesheim, 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 Biedesheim

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Municipality Biedesheim, 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 Biedesheim.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room2Number2019
Houses 2 rooms11Number2019
Houses 3 rooms23Number2019
Houses 4 rooms62Number2019
Houses 5 rooms59Number2019
Houses 6 rooms52Number2019
Houses 7+ rooms 81Number2019
Houses 1-2 rooms13Number2019
Houses 3-4 rooms85Number2019
Houses 5+ rooms192Number2019
1-2 rooms4%Percentage2019
3-4 rooms29%Percentage2019
5+ rooms66%Percentage2019
ElectionsValueUnitYear
Voters Bundestag487,00Number2017
Voter turnout Bundestag77Number2017
Votes valid Bundestag276Number2017
Votes Bundestag CDU/CSU74Number2017
Votes Bundestag SPD84Number2017
Votes Bundestag GRÜNE12Number2017
Votes Bundestag FDP23Number2017
Votes Bundestag DIE LINKE19Number2017
Votes Bundestag AfD48Number2017
Votes Bundestag other parties16Number2017
Votes Bundestag total276Number2017
% Votes Bundestag CDU/CSU15%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD10%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees260Number2019
Employees male146Number2019
Employees female114Number2019
Employees foreigner10Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed12Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-653Number2018
Unemployed long-term3Number2018
% 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 55-650%Percentage of the population2018
% Unemployed long-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers303Number2015
Income total€11.342Euro2015
Income tax€1.792Euro2015
PopulationValueUnitYear
Population609Number2019
Men306Number2019
Women303Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18108Number2019
18-3071Number2019
30-45100Number2019
45-60174Number2019
18-60345Number2019
60-7596Number2019
60+156Number2019
Average age44Average number2019
Average age male43Average number2019
Average age female45Average number2019
Births7Number2018
Births male5Number2018
Births female2Number2018
1K Births11Number per 1000 inhabitants2018
Deaths9Number2018
Deaths male4Number2018
Deaths female5Number2018
1K Deaths15Number2018
0-330Number2019
Girls 0-315Number2019
Boys 0-315Number2019
3-617Number2019
Girls 3-69Number2019
Boys 3-68Number2019
6-1014Number2019
10-1531Number2019
15-1816Number2019
18-2013Number2019
20-2529Number2019
25-3029Number2019
30-3527Number2019
35-4036Number2019
40-4537Number2019
45-5039Number2019
50-5562Number2019
55-6073Number2019
60-6546Number2019
65-7550Number2019
Women 65-7025Number2019
Men 65-7025Number2019
75+60Number2019
Women 75+35Number2019
Men 75+25Number2019
% 0-1010%Percentage2019
% 10-188%Percentage2019
% 18-3012%Percentage2019
% 30-4516%Percentage2019
% 45-6029%Percentage2019
% 60+26%Percentage2019
Real estateValueUnitYear
Property tax A revenue€18.177Euro2018
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€23.928Euro2018
Property tax A rate€361Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€16.343Euro2018
Trade tax net€74.822Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335003006Code2019
Region code 8 digits07333006Code07333006
Sorting code073335003006Code073335003006
Sorting code 8 digits07333006Code07333006
Region nameBiedesheimName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BiedesheimName2019
Region name in GermanGemeinde BiedesheimName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area6Area in km²2019
ReligionValueUnitYear
Roman Catholic church212Number2011
Protestant church260Number2011
Other or none149Number2011
% Roman Catholic church34%Percentage2011
% Protestant church42%Percentage2011
% Other or none24%Percentage2011
Roman Catholic church German209Number2011
Protestant church German254Number2011
Other or none German143Number2011
% Roman Catholic church German34%Percentage2011
% Protestant church German42%Percentage2011
% Other or none German Foreign24%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign6Number2011
Other or none Foreign6Number2011
% Roman Catholic church Foreign20%Percentage2011
% Protestant church Foreign40%Percentage2011
% Other or none Foreign40%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.