Information about the municipality Bobenthal:

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

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

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Municipality Bobenthal, 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 Bobenthal

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Municipality Bobenthal, 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 Bobenthal.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms2Number2019
Houses 3 rooms19Number2019
Houses 4 rooms31Number2019
Houses 5 rooms35Number2019
Houses 6 rooms35Number2019
Houses 7+ rooms 61Number2019
Houses 1-2 rooms2Number2019
Houses 3-4 rooms50Number2019
Houses 5+ rooms131Number2019
1-2 rooms1%Percentage2019
3-4 rooms27%Percentage2019
5+ rooms72%Percentage2019
ElectionsValueUnitYear
Voters Bundestag238,00Number2017
Voter turnout Bundestag80Number2017
Votes valid Bundestag155Number2017
Votes Bundestag CDU/CSU75Number2017
Votes Bundestag SPD28Number2017
Votes Bundestag GRÜNE11Number2017
Votes Bundestag FDP16Number2017
Votes Bundestag DIE LINKE7Number2017
Votes Bundestag AfD15Number2017
Votes Bundestag other parties3Number2017
Votes Bundestag total155Number2017
% Votes Bundestag CDU/CSU32%Percentage2017
% Votes Bundestag SPD12%Percentage2017
% Votes Bundestag GRÜNE5%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees116Number2019
Employees male55Number2019
Employees female61Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed6Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-652Number2018
Unemployed long-term1Number2018
% 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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers139Number2015
Income total€4.442Euro2015
Income tax€593Euro2015
PopulationValueUnitYear
Population289Number2019
Men140Number2019
Women149Number2019
% Men48%Percentage2019
% Women52%Percentage2019
0-1836Number2019
18-3027Number2019
30-4541Number2019
45-6077Number2019
18-60145Number2019
60-7575Number2019
60+108Number2019
Average age50Average number2019
Average age male48Average number2019
Average age female52Average number2019
Births2Number2018
Births male1Number2018
Births female1Number2018
1K Births7Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male1Number2018
Deaths female1Number2018
1K Deaths7Number2018
0-34Number2019
Girls 0-31Number2019
Boys 0-33Number2019
3-62Number2019
Girls 3-60Number2019
Boys 3-62Number2019
6-106Number2019
10-1515Number2019
15-189Number2019
18-209Number2019
20-255Number2019
25-3013Number2019
30-358Number2019
35-4013Number2019
40-4520Number2019
45-5017Number2019
50-5537Number2019
55-6023Number2019
60-6528Number2019
65-7547Number2019
Women 65-7022Number2019
Men 65-7025Number2019
75+33Number2019
Women 75+19Number2019
Men 75+14Number2019
% 0-104%Percentage2019
% 10-188%Percentage2019
% 18-309%Percentage2019
% 30-4514%Percentage2019
% 45-6027%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 rate€300Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€4.711Euro2018
Trade tax net€20.466Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405001001Code2019
Region code 8 digits07340001Code07340001
Sorting code073405001001Code073405001001
Sorting code 8 digits07340001Code07340001
Region nameBobenthalName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality BobenthalName2019
Region name in GermanGemeinde BobenthalName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area21Area in km²2019
ReligionValueUnitYear
Roman Catholic church220Number2011
Protestant church40Number2011
Other or none61Number2011
% Roman Catholic church69%Percentage2011
% Protestant church12%Percentage2011
% Other or none19%Percentage2011
Roman Catholic church German214Number2011
Protestant church German40Number2011
Other or none German52Number2011
% Roman Catholic church German70%Percentage2011
% Protestant church German13%Percentage2011
% Other or none German Foreign17%Percentage2011
Roman Catholic church Foreign6Number2011
Protestant church Foreign0Number2011
Other or none Foreign9Number2011
% Roman Catholic church Foreign40%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign60%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.