Information about the municipality Trulben:

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

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

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Municipality Trulben, 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 Trulben

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Municipality Trulben, 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 Trulben.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room3Number2019
Houses 2 rooms11Number2019
Houses 3 rooms53Number2019
Houses 4 rooms136Number2019
Houses 5 rooms141Number2019
Houses 6 rooms142Number2019
Houses 7+ rooms 135Number2019
Houses 1-2 rooms14Number2019
Houses 3-4 rooms189Number2019
Houses 5+ rooms418Number2019
1-2 rooms2%Percentage2019
3-4 rooms30%Percentage2019
5+ rooms67%Percentage2019
ElectionsValueUnitYear
Voters Bundestag988,00Number2017
Voter turnout Bundestag78Number2017
Votes valid Bundestag574Number2017
Votes Bundestag CDU/CSU242Number2017
Votes Bundestag SPD140Number2017
Votes Bundestag GRÜNE19Number2017
Votes Bundestag FDP47Number2017
Votes Bundestag DIE LINKE34Number2017
Votes Bundestag AfD62Number2017
Votes Bundestag other parties30Number2017
Votes Bundestag total574Number2017
% Votes Bundestag CDU/CSU24%Percentage2017
% Votes Bundestag SPD14%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD6%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees433Number2019
Employees male220Number2019
Employees female213Number2019
Employees foreigner14Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed21Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled3Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-6510Number2018
Unemployed long-term4Number2018
% 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 receivers551Number2015
Income total€19.062Euro2015
Income tax€2.934Euro2015
PopulationValueUnitYear
Population1.123Number2019
Men555Number2019
Women568Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18122Number2019
18-30125Number2019
30-45119Number2019
45-60319Number2019
18-60563Number2019
60-75244Number2019
60+438Number2019
Average age52Average number2019
Average age male50Average number2019
Average age female54Average number2019
Births8Number2018
Births male5Number2018
Births female3Number2018
1K Births7Number per 1000 inhabitants2018
Deaths22Number2018
Deaths male16Number2018
Deaths female6Number2018
1K Deaths20Number2018
0-322Number2019
Girls 0-37Number2019
Boys 0-315Number2019
3-613Number2019
Girls 3-64Number2019
Boys 3-69Number2019
6-1020Number2019
10-1540Number2019
15-1827Number2019
18-2025Number2019
20-2549Number2019
25-3051Number2019
30-3549Number2019
35-4025Number2019
40-4545Number2019
45-5081Number2019
50-55120Number2019
55-60118Number2019
60-6592Number2019
65-75152Number2019
Women 65-7081Number2019
Men 65-7071Number2019
75+194Number2019
Women 75+110Number2019
Men 75+84Number2019
% 0-105%Percentage2019
% 10-186%Percentage2019
% 18-3011%Percentage2019
% 30-4511%Percentage2019
% 45-6028%Percentage2019
% 60+39%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€19.248Euro2018
Trade tax net€83.617Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405003052Code2019
Region code 8 digits07340052Code07340052
Sorting code073405003052Code073405003052
Sorting code 8 digits07340052Code07340052
Region nameTrulbenName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality TrulbenName2019
Region name in GermanGemeinde TrulbenName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area7Area in km²2019
ReligionValueUnitYear
Roman Catholic church735Number2011
Protestant church397Number2011
Other or none152Number2011
% Roman Catholic church57%Percentage2011
% Protestant church31%Percentage2011
% Other or none12%Percentage2011
Roman Catholic church German732Number2011
Protestant church German393Number2011
Other or none German137Number2011
% Roman Catholic church German58%Percentage2011
% Protestant church German31%Percentage2011
% Other or none German Foreign11%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign4Number2011
Other or none Foreign15Number2011
% Roman Catholic church Foreign14%Percentage2011
% Protestant church Foreign18%Percentage2011
% Other or none Foreign68%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.