Information about the municipality Rumbach:

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

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Population numbers in the municipality Rumbach 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 Rumbach
Map of Rural district Südwestpfalz with the population per municipality.Municipality Rumbach 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 Rumbach 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 Rumbach 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 Rumbach

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Municipality Rumbach, 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 Rumbach

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Municipality Rumbach, 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 Rumbach.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room1Number2019
Houses 2 rooms9Number2019
Houses 3 rooms17Number2019
Houses 4 rooms50Number2019
Houses 5 rooms63Number2019
Houses 6 rooms45Number2019
Houses 7+ rooms 63Number2019
Houses 1-2 rooms10Number2019
Houses 3-4 rooms67Number2019
Houses 5+ rooms171Number2019
1-2 rooms4%Percentage2019
3-4 rooms27%Percentage2019
5+ rooms69%Percentage2019
ElectionsValueUnitYear
Voters Bundestag348,00Number2017
Voter turnout Bundestag76Number2017
Votes valid Bundestag183Number2017
Votes Bundestag CDU/CSU64Number2017
Votes Bundestag SPD58Number2017
Votes Bundestag GRÜNE13Number2017
Votes Bundestag FDP18Number2017
Votes Bundestag DIE LINKE11Number2017
Votes Bundestag AfD12Number2017
Votes Bundestag other parties7Number2017
Votes Bundestag total183Number2017
% Votes Bundestag CDU/CSU18%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD3%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees185Number2019
Employees male112Number2019
Employees female73Number2019
Employees foreigner17Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed9Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers209Number2015
Income total€6.616Euro2015
Income tax€909Euro2015
PopulationValueUnitYear
Population434Number2019
Men216Number2019
Women218Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-1859Number2019
18-3030Number2019
30-4575Number2019
45-60113Number2019
18-60218Number2019
60-7589Number2019
60+157Number2019
Average age50Average number2019
Average age male49Average number2019
Average age female51Average number2019
Births1Number2018
Births male1Number2018
Births female0Number2018
1K Births2Number per 1000 inhabitants2018
Deaths8Number2018
Deaths male8Number2018
Deaths female0Number2018
1K Deaths18Number2018
0-35Number2019
Girls 0-31Number2019
Boys 0-34Number2019
3-610Number2019
Girls 3-65Number2019
Boys 3-65Number2019
6-109Number2019
10-1517Number2019
15-1818Number2019
18-207Number2019
20-2513Number2019
25-3010Number2019
30-3517Number2019
35-4032Number2019
40-4526Number2019
45-5036Number2019
50-5541Number2019
55-6036Number2019
60-6543Number2019
65-7546Number2019
Women 65-7024Number2019
Men 65-7022Number2019
75+68Number2019
Women 75+39Number2019
Men 75+29Number2019
% 0-106%Percentage2019
% 10-188%Percentage2019
% 18-307%Percentage2019
% 30-4517%Percentage2019
% 45-6026%Percentage2019
% 60+36%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 rate€300Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€1.559Euro2018
Trade tax net€6.773Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405001039Code2019
Region code 8 digits07340039Code07340039
Sorting code073405001039Code073405001039
Sorting code 8 digits07340039Code07340039
Region nameRumbachName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality RumbachName2019
Region name in GermanGemeinde RumbachName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area15Area in km²2019
ReligionValueUnitYear
Roman Catholic church129Number2011
Protestant church259Number2011
Other or none85Number2011
% Roman Catholic church27%Percentage2011
% Protestant church55%Percentage2011
% Other or none18%Percentage2011
Roman Catholic church German129Number2011
Protestant church German259Number2011
Other or none German79Number2011
% Roman Catholic church German28%Percentage2011
% Protestant church German55%Percentage2011
% Other or none German Foreign17%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign6Number2011
% 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.