Information about the municipality Vorderweidenthal:

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

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Population numbers in the municipality Vorderweidenthal 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 Vorderweidenthal
Map of Rural district Südliche Weinstraße with the population per municipality.Municipality Vorderweidenthal 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 Südliche Weinstraße with the population per municipality.Municipality Vorderweidenthal is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Kirrweiler (Pfalz), 2: municipality Maikammer, 3: municipality Sankt Martin, 4: municipality Gommersheim, 5: municipality Altdorf ...Show more... Map of Rural district Südliche Weinstraße with the population per municipality.Municipality Vorderweidenthal is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Kirrweiler (Pfalz), 2: municipality Maikammer, 3: municipality Sankt Martin, 4: municipality Gommersheim, 5: municipality Altdorf, 6: municipality city Edenkoben, 7: municipality Venningen, 8: municipality Böbingen, 9: municipality Rhodt unter Rietburg, 10: municipality Hainfeld, 11: municipality Edesheim, 12: municipality Weyher in der Pfalz, 13: municipality Ramberg, 14: municipality Freimersheim (Pfalz), 15: municipality Großfischlingen, 16: municipality Roschbach, 17: municipality Burrweiler, 18: municipality Kleinfischlingen, 19: municipality Flemlingen, 20: municipality Dernbach, 21: municipality Gleisweiler, 22: municipality Walsheim, 23: municipality Böchingen, 24: municipality Albersweiler, 25: municipality Frankweiler, 26: municipality Eußerthal, 27: municipality Siebeldingen, 28: municipality Knöringen, 29: municipality Hochstadt (Pfalz), 30: municipality Essingen, 31: municipality city Annweiler am Trifels, 32: municipality Rinnthal, 33: municipality Birkweiler, 34: municipality Bornheim, 35: municipality Ranschbach, 36: municipality Wernersberg, 37: municipality Offenbach an der Queich, 38: municipality Leinsweiler, 39: municipality Ilbesheim bei Landau in der Pfalz, 40: municipality Völkersweiler, 41: municipality Eschbach, 42: municipality Waldrohrbach, 43: municipality Waldhambach, 44: municipality Impflingen, 45: municipality Göcklingen, 46: municipality Gossersweiler-Stein, 47: municipality Insheim, 48: municipality Herxheimweyher, 49: municipality Münchweiler am Klingbach, 50: municipality Herxheim bei Landau/Pfalz, 51: municipality Klingenmünster, 52: municipality Oberschlettenbach, 53: municipality Rohrbach, 54: municipality Heuchelheim-Klingen, 55: municipality Silz, 56: municipality Gleiszellen-Gleishorbach, 57: municipality Vorderweidenthal, 58: municipality Billigheim-Ingenheim, 59: municipality Pleisweiler-Oberhofen, 60: municipality Niederhorbach, 61: municipality Birkenhördt, 62: municipality city Bad Bergzabern, 63: municipality Barbelroth, 64: municipality Oberhausen, 65: municipality Hergersweiler, 66: municipality Kapellen-Drusweiler, 67: municipality Böllenborn, 68: municipality Dörrenbach, 69: municipality Dierbach, 70: municipality Oberotterbach, 71: municipality Niederotterbach, 72: municipality Schweigen-Rechtenbach, 73: municipality Schweighofen, 74: municipality Kapsweyer, 75: municipality Steinfeld ...Show less...

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

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Municipality Vorderweidenthal, 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 Vorderweidenthal

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Municipality Vorderweidenthal, 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 Vorderweidenthal.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room7Number2019
Houses 2 rooms13Number2019
Houses 3 rooms38Number2019
Houses 4 rooms40Number2019
Houses 5 rooms75Number2019
Houses 6 rooms66Number2019
Houses 7+ rooms 95Number2019
Houses 1-2 rooms20Number2019
Houses 3-4 rooms78Number2019
Houses 5+ rooms236Number2019
1-2 rooms6%Percentage2019
3-4 rooms23%Percentage2019
5+ rooms71%Percentage2019
ElectionsValueUnitYear
Voters Bundestag497,00Number2017
Voter turnout Bundestag66Number2017
Votes valid Bundestag233Number2017
Votes Bundestag CDU/CSU40Number2017
Votes Bundestag SPD86Number2017
Votes Bundestag GRÜNE16Number2017
Votes Bundestag FDP19Number2017
Votes Bundestag DIE LINKE20Number2017
Votes Bundestag AfD38Number2017
Votes Bundestag other parties14Number2017
Votes Bundestag total233Number2017
% Votes Bundestag CDU/CSU8%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees232Number2019
Employees male120Number2019
Employees female112Number2019
Employees foreigner9Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed16Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled3Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-655Number2018
Unemployed long-term4Number2018
% Unemployed3%Percentage2018
% Unemployed foreigners0%Percentage of the population2018
% Unemployed severely disabled1%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 receivers294Number2015
Income total€9.639Euro2015
Income tax€1.373Euro2015
PopulationValueUnitYear
Population579Number2019
Men300Number2019
Women279Number2019
% Men52%Percentage2019
% Women48%Percentage2019
0-1868Number2019
18-3072Number2019
30-4571Number2019
45-60155Number2019
18-60298Number2019
60-75135Number2019
60+213Number2019
Average age49Average number2019
Average age male49Average number2019
Average age female50Average number2019
Births2Number2018
Births male0Number2018
Births female2Number2018
1K Births3Number per 1000 inhabitants2018
Deaths6Number2018
Deaths male1Number2018
Deaths female5Number2018
1K Deaths10Number2018
0-310Number2019
Girls 0-35Number2019
Boys 0-35Number2019
3-67Number2019
Girls 3-65Number2019
Boys 3-62Number2019
6-1018Number2019
10-1518Number2019
15-1815Number2019
18-2014Number2019
20-2532Number2019
25-3026Number2019
30-3525Number2019
35-4027Number2019
40-4519Number2019
45-5038Number2019
50-5559Number2019
55-6058Number2019
60-6557Number2019
65-7578Number2019
Women 65-7036Number2019
Men 65-7042Number2019
75+78Number2019
Women 75+45Number2019
Men 75+33Number2019
% 0-106%Percentage2019
% 10-186%Percentage2019
% 18-3012%Percentage2019
% 30-4512%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€19.823Euro2018
Trade tax net€86.112Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073375002079Code2019
Region code 8 digits07337079Code07337079
Sorting code073375002079Code073375002079
Sorting code 8 digits07337079Code07337079
Region nameVorderweidenthalName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality VorderweidenthalName2019
Region name in GermanGemeinde VorderweidenthalName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3HCode2019
Area10Area in km²2019
ReligionValueUnitYear
Roman Catholic church159Number2011
Protestant church382Number2011
Other or none105Number2011
% Roman Catholic church25%Percentage2011
% Protestant church59%Percentage2011
% Other or none16%Percentage2011
Roman Catholic church German156Number2011
Protestant church German382Number2011
Other or none German98Number2011
% Roman Catholic church German25%Percentage2011
% Protestant church German60%Percentage2011
% Other or none German Foreign15%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign0Number2011
Other or none Foreign7Number2011
% Roman Catholic church Foreign30%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign70%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.