Information about the municipality Dielkirchen:

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

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

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Municipality Dielkirchen, 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 Dielkirchen

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Municipality Dielkirchen, 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 Dielkirchen.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms8Number2019
Houses 3 rooms23Number2019
Houses 4 rooms53Number2019
Houses 5 rooms51Number2019
Houses 6 rooms49Number2019
Houses 7+ rooms 70Number2019
Houses 1-2 rooms8Number2019
Houses 3-4 rooms76Number2019
Houses 5+ rooms170Number2019
1-2 rooms3%Percentage2019
3-4 rooms30%Percentage2019
5+ rooms67%Percentage2019
ElectionsValueUnitYear
Voters Bundestag420,00Number2017
Voter turnout Bundestag64Number2017
Votes valid Bundestag194Number2017
Votes Bundestag CDU/CSU49Number2017
Votes Bundestag SPD69Number2017
Votes Bundestag GRÜNE8Number2017
Votes Bundestag FDP15Number2017
Votes Bundestag DIE LINKE15Number2017
Votes Bundestag AfD25Number2017
Votes Bundestag other parties13Number2017
Votes Bundestag total194Number2017
% Votes Bundestag CDU/CSU12%Percentage2017
% Votes Bundestag SPD16%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees211Number2019
Employees male111Number2019
Employees female100Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed12Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled2Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-654Number2018
Unemployed long-term5Number2018
% 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 receivers255Number2015
Income total€7.775Euro2015
Income tax€1.137Euro2015
PopulationValueUnitYear
Population466Number2019
Men227Number2019
Women239Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1845Number2019
18-3071Number2019
30-4559Number2019
45-60146Number2019
18-60276Number2019
60-7596Number2019
60+145Number2019
Average age48Average number2019
Average age male48Average number2019
Average age female49Average number2019
Births4Number2018
Births male2Number2018
Births female2Number2018
1K Births8Number per 1000 inhabitants2018
Deaths4Number2018
Deaths male3Number2018
Deaths female1Number2018
1K Deaths8Number2018
0-38Number2019
Girls 0-34Number2019
Boys 0-34Number2019
3-68Number2019
Girls 3-61Number2019
Boys 3-67Number2019
6-109Number2019
10-1513Number2019
15-187Number2019
18-2010Number2019
20-2533Number2019
25-3028Number2019
30-3521Number2019
35-4020Number2019
40-4518Number2019
45-5025Number2019
50-5559Number2019
55-6062Number2019
60-6546Number2019
65-7550Number2019
Women 65-7027Number2019
Men 65-7023Number2019
75+49Number2019
Women 75+25Number2019
Men 75+24Number2019
% 0-105%Percentage2019
% 10-184%Percentage2019
% 18-3015%Percentage2019
% 30-4513%Percentage2019
% 45-6031%Percentage2019
% 60+31%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€3.174Euro2018
Property tax A rate€330Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€2.168Euro2018
Trade tax net€9.417Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335005014Code2019
Region code 8 digits07333014Code07333014
Sorting code073335005014Code073335005014
Sorting code 8 digits07333014Code07333014
Region nameDielkirchenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality DielkirchenName2019
Region name in GermanGemeinde DielkirchenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area8Area in km²2019
ReligionValueUnitYear
Roman Catholic church93Number2011
Protestant church363Number2011
Other or none90Number2011
% Roman Catholic church17%Percentage2011
% Protestant church66%Percentage2011
% Other or none16%Percentage2011
Roman Catholic church German87Number2011
Protestant church German360Number2011
Other or none German84Number2011
% Roman Catholic church German16%Percentage2011
% Protestant church German68%Percentage2011
% Other or none German Foreign16%Percentage2011
Roman Catholic church Foreign6Number2011
Protestant church Foreign3Number2011
Other or none Foreign6Number2011
% Roman Catholic church Foreign40%Percentage2011
% Protestant church Foreign20%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.