Information about the municipality Rosenkopf:

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

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Population numbers in the municipality Rosenkopf 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 Rosenkopf
Map of Rural district Südwestpfalz with the population per municipality.Municipality Rosenkopf 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 Südwestpfalz with the population per municipality.Municipality Rosenkopf is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach ...Show more... Map of Rural district Südwestpfalz with the population per municipality.Municipality Rosenkopf is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach, 6: municipality Wiesbach, 7: municipality Weselberg, 8: municipality Horbach, 9: municipality Schmalenberg, 10: municipality Krähenberg, 11: municipality Geiselberg, 12: municipality Käshofen, 13: municipality Saalstadt, 14: municipality Wallhalben, 15: municipality Biedershausen, 16: municipality Steinalben, 17: municipality Hermersberg, 18: municipality Kleinbundenbach, 19: municipality Schauerberg, 20: municipality Schmitshausen, 21: municipality Heltersberg, 22: municipality Winterbach (Pfalz), 23: municipality Großbundenbach, 24: municipality Herschberg, 25: municipality Höheinöd, 26: municipality Waldfischbach-Burgalben, 27: municipality Leimen, 28: municipality Reifenberg, 29: municipality Battweiler, 30: municipality Maßweiler, 31: municipality Donsieders, 32: municipality Thaleischweiler-Fröschen, 33: municipality Clausen, 34: municipality Rieschweiler-Mühlbach, 35: municipality Merzalben, 36: municipality Höhfröschen, 37: municipality Contwig, 38: municipality Wilgartswiesen, 39: municipality Petersberg, 40: municipality city Rodalben, 41: municipality Dellfeld, 42: municipality Höheischweiler, 43: municipality Nünschweiler, 44: municipality Münchweiler an der Rodalb, 45: municipality Walshausen, 46: municipality Althornbach, 47: municipality Spirkelbach, 48: municipality Dietrichingen, 49: municipality Kleinsteinhausen, 50: municipality Ruppertsweiler, 51: municipality Großsteinhausen, 52: municipality Hinterweidenthal, 53: municipality Bottenbach, 54: municipality Mauschbach, 55: municipality city Hornbach, 56: municipality Hauenstein, 57: municipality Lug, 58: municipality Riedelberg, 59: municipality Schwanheim, 60: municipality Vinningen, 61: municipality Dimbach, 62: municipality Erfweiler, 63: municipality Obersimten, 64: municipality Kröppen, 65: municipality Darstein, 66: municipality Lemberg, 67: municipality city Dahn, 68: municipality Trulben, 69: municipality Schindhard, 70: municipality Busenberg, 71: municipality Schweix, 72: municipality Hilst, 73: municipality Bruchweiler-Bärenbach, 74: municipality Erlenbach bei Dahn, 75: municipality Eppenbrunn, 76: municipality Bundenthal, 77: municipality Fischbach bei Dahn, 78: municipality Rumbach, 79: municipality Ludwigswinkel, 80: municipality Niederschlettenbach, 81: municipality Nothweiler, 82: municipality Schönau (Pfalz), 83: municipality Bobenthal, 84: municipality Hirschthal ...Show less...

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

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Municipality Rosenkopf, 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 Rosenkopf

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Municipality Rosenkopf, 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 Rosenkopf.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms3Number2019
Houses 3 rooms14Number2019
Houses 4 rooms27Number2019
Houses 5 rooms44Number2019
Houses 6 rooms31Number2019
Houses 7+ rooms 61Number2019
Houses 1-2 rooms3Number2019
Houses 3-4 rooms41Number2019
Houses 5+ rooms136Number2019
1-2 rooms2%Percentage2019
3-4 rooms23%Percentage2019
5+ rooms76%Percentage2019
ElectionsValueUnitYear
Voters Bundestag302,00Number2017
Voter turnout Bundestag81Number2017
Votes valid Bundestag181Number2017
Votes Bundestag CDU/CSU57Number2017
Votes Bundestag SPD39Number2017
Votes Bundestag GRÜNE8Number2017
Votes Bundestag FDP18Number2017
Votes Bundestag DIE LINKE10Number2017
Votes Bundestag AfD40Number2017
Votes Bundestag other parties9Number2017
Votes Bundestag total181Number2017
% Votes Bundestag CDU/CSU19%Percentage2017
% Votes Bundestag SPD13%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD13%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees130Number2019
Employees male69Number2019
Employees female61Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed4Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-652Number2018
Unemployed long-term1Number2018
% Unemployed1%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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers200Number2015
Income total€7.648Euro2015
Income tax€1.291Euro2015
PopulationValueUnitYear
Population358Number2019
Men170Number2019
Women188Number2019
% Men47%Percentage2019
% Women53%Percentage2019
0-1852Number2019
18-3037Number2019
30-4561Number2019
45-6077Number2019
18-60175Number2019
60-7593Number2019
60+131Number2019
Average age47Average number2019
Average age male47Average number2019
Average age female48Average number2019
Births2Number2018
Births male1Number2018
Births female1Number2018
1K Births6Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male1Number2018
Deaths female1Number2018
1K Deaths6Number2018
0-37Number2019
Girls 0-34Number2019
Boys 0-33Number2019
3-67Number2019
Girls 3-66Number2019
Boys 3-61Number2019
6-1018Number2019
10-1514Number2019
15-186Number2019
18-207Number2019
20-2517Number2019
25-3013Number2019
30-3521Number2019
35-4023Number2019
40-4517Number2019
45-5029Number2019
50-5521Number2019
55-6027Number2019
60-6530Number2019
65-7563Number2019
Women 65-7036Number2019
Men 65-7027Number2019
75+38Number2019
Women 75+21Number2019
Men 75+17Number2019
% 0-109%Percentage2019
% 10-186%Percentage2019
% 18-3010%Percentage2019
% 30-4517%Percentage2019
% 45-6022%Percentage2019
% 60+37%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 levy€3.968Euro2018
Trade tax net€18.399Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405008223Code2019
Region code 8 digits07340223Code07340223
Sorting code073405008223Code073405008223
Sorting code 8 digits07340223Code07340223
Region nameRosenkopfName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality RosenkopfName2019
Region name in GermanGemeinde RosenkopfName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area2Area in km²2019
ReligionValueUnitYear
Roman Catholic church93Number2011
Protestant church209Number2011
Other or none72Number2011
% Roman Catholic church25%Percentage2011
% Protestant church56%Percentage2011
% Other or none19%Percentage2011
Roman Catholic church German93Number2011
Protestant church German209Number2011
Other or none German69Number2011
% Roman Catholic church German25%Percentage2011
% Protestant church German56%Percentage2011
% Other or none German Foreign19%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign100%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.