Information about the municipality Frankweiler:

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

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Population numbers in the municipality Frankweiler 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 Frankweiler
Map of Rural district Südliche Weinstraße with the population per municipality.Municipality Frankweiler 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 Frankweiler 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 Frankweiler 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 Frankweiler

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Municipality Frankweiler, 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 Frankweiler

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Municipality Frankweiler, 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 Frankweiler.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room2Number2019
Houses 2 rooms25Number2019
Houses 3 rooms48Number2019
Houses 4 rooms72Number2019
Houses 5 rooms110Number2019
Houses 6 rooms91Number2019
Houses 7+ rooms 136Number2019
Houses 1-2 rooms27Number2019
Houses 3-4 rooms120Number2019
Houses 5+ rooms337Number2019
1-2 rooms6%Percentage2019
3-4 rooms25%Percentage2019
5+ rooms70%Percentage2019
ElectionsValueUnitYear
Voters Bundestag711,00Number2017
Voter turnout Bundestag77Number2017
Votes valid Bundestag344Number2017
Votes Bundestag CDU/CSU116Number2017
Votes Bundestag SPD82Number2017
Votes Bundestag GRÜNE27Number2017
Votes Bundestag FDP43Number2017
Votes Bundestag DIE LINKE16Number2017
Votes Bundestag AfD48Number2017
Votes Bundestag other parties12Number2017
Votes Bundestag total344Number2017
% Votes Bundestag CDU/CSU16%Percentage2017
% Votes Bundestag SPD12%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE2%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees340Number2019
Employees male180Number2019
Employees female160Number2019
Employees foreigner31Number2019
Employees male foreigner20Number2019
Employees female foreigner11Number2019
Unemployed15Number2018
Unemployed foreigners3Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-252Number2018
Unemployed 55-656Number2018
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 receivers447Number2015
Income total€20.158Euro2015
Income tax€3.660Euro2015
PopulationValueUnitYear
Population856Number2019
Men425Number2019
Women431Number2019
% Men50%Percentage2019
% Women50%Percentage2019
0-18101Number2019
18-30102Number2019
30-45126Number2019
45-60231Number2019
18-60459Number2019
60-75188Number2019
60+296Number2019
Average age49Average number2019
Average age male46Average number2019
Average age female52Average number2019
Births8Number2018
Births male4Number2018
Births female4Number2018
1K Births9Number per 1000 inhabitants2018
Deaths12Number2018
Deaths male9Number2018
Deaths female3Number2018
1K Deaths14Number2018
0-316Number2019
Girls 0-35Number2019
Boys 0-311Number2019
3-616Number2019
Girls 3-66Number2019
Boys 3-610Number2019
6-1026Number2019
10-1529Number2019
15-1814Number2019
18-2011Number2019
20-2549Number2019
25-3042Number2019
30-3540Number2019
35-4038Number2019
40-4548Number2019
45-5057Number2019
50-5590Number2019
55-6084Number2019
60-6566Number2019
65-75122Number2019
Women 65-7068Number2019
Men 65-7054Number2019
75+108Number2019
Women 75+64Number2019
Men 75+44Number2019
% 0-107%Percentage2019
% 10-185%Percentage2019
% 18-3012%Percentage2019
% 30-4515%Percentage2019
% 45-6027%Percentage2019
% 60+35%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€32.802Euro2018
Trade tax net€142.496Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073375005026Code2019
Region code 8 digits07337026Code07337026
Sorting code073375005026Code073375005026
Sorting code 8 digits07337026Code07337026
Region nameFrankweilerName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality FrankweilerName2019
Region name in GermanGemeinde FrankweilerName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3HCode2019
Area7Area in km²2019
ReligionValueUnitYear
Roman Catholic church186Number2011
Protestant church523Number2011
Other or none163Number2011
% Roman Catholic church21%Percentage2011
% Protestant church60%Percentage2011
% Other or none19%Percentage2011
Roman Catholic church German171Number2011
Protestant church German520Number2011
Other or none German163Number2011
% Roman Catholic church German20%Percentage2011
% Protestant church German61%Percentage2011
% Other or none German Foreign19%Percentage2011
Roman Catholic church Foreign15Number2011
Protestant church Foreign3Number2011
Other or none Foreign0Number2011
% Roman Catholic church Foreign83%Percentage2011
% Protestant church Foreign17%Percentage2011
% Other or none Foreign0%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.