Information about the municipality Herxheimweyher:

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

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

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Municipality Herxheimweyher, 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 Herxheimweyher

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Municipality Herxheimweyher, 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 Herxheimweyher.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms6Number2019
Houses 3 rooms25Number2019
Houses 4 rooms40Number2019
Houses 5 rooms55Number2019
Houses 6 rooms58Number2019
Houses 7+ rooms 64Number2019
Houses 1-2 rooms6Number2019
Houses 3-4 rooms65Number2019
Houses 5+ rooms177Number2019
1-2 rooms2%Percentage2019
3-4 rooms26%Percentage2019
5+ rooms71%Percentage2019
ElectionsValueUnitYear
Voters Bundestag473,00Number2017
Voter turnout Bundestag79Number2017
Votes valid Bundestag253Number2017
Votes Bundestag CDU/CSU104Number2017
Votes Bundestag SPD41Number2017
Votes Bundestag GRÜNE32Number2017
Votes Bundestag FDP20Number2017
Votes Bundestag DIE LINKE12Number2017
Votes Bundestag AfD38Number2017
Votes Bundestag other parties6Number2017
Votes Bundestag total253Number2017
% Votes Bundestag CDU/CSU22%Percentage2017
% Votes Bundestag SPD9%Percentage2017
% Votes Bundestag GRÜNE7%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees217Number2019
Employees male119Number2019
Employees female98Number2019
Employees foreigner13Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed7Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-251Number2018
Unemployed 55-652Number2018
Unemployed long-term3Number2018
% Unemployed1%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 55-650%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers281Number2015
Income total€11.917Euro2015
Income tax€2.018Euro2015
PopulationValueUnitYear
Population559Number2019
Men283Number2019
Women276Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-1886Number2019
18-3062Number2019
30-45110Number2019
45-60144Number2019
18-60316Number2019
60-7598Number2019
60+157Number2019
Average age45Average number2019
Average age male44Average number2019
Average age female46Average number2019
Births10Number2018
Births male4Number2018
Births female6Number2018
1K Births18Number per 1000 inhabitants2018
Deaths7Number2018
Deaths male2Number2018
Deaths female5Number2018
1K Deaths13Number2018
0-318Number2019
Girls 0-310Number2019
Boys 0-38Number2019
3-614Number2019
Girls 3-67Number2019
Boys 3-67Number2019
6-1012Number2019
10-1520Number2019
15-1822Number2019
18-2014Number2019
20-2521Number2019
25-3027Number2019
30-3535Number2019
35-4043Number2019
40-4532Number2019
45-5039Number2019
50-5561Number2019
55-6044Number2019
60-6547Number2019
65-7551Number2019
Women 65-7021Number2019
Men 65-7030Number2019
75+59Number2019
Women 75+36Number2019
Men 75+23Number2019
% 0-108%Percentage2019
% 10-188%Percentage2019
% 18-3011%Percentage2019
% 30-4520%Percentage2019
% 45-6026%Percentage2019
% 60+28%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€12.775Euro2018
Trade tax net€55.498Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073375004039Code2019
Region code 8 digits07337039Code07337039
Sorting code073375004039Code073375004039
Sorting code 8 digits07337039Code07337039
Region nameHerxheimweyherName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality HerxheimweyherName2019
Region name in GermanGemeinde HerxheimweyherName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3HCode2019
Area4Area in km²2019
ReligionValueUnitYear
Roman Catholic church363Number2011
Protestant church92Number2011
Other or none82Number2011
% Roman Catholic church68%Percentage2011
% Protestant church17%Percentage2011
% Other or none15%Percentage2011
Roman Catholic church German360Number2011
Protestant church German92Number2011
Other or none German79Number2011
% Roman Catholic church German68%Percentage2011
% Protestant church German17%Percentage2011
% Other or none German Foreign15%Percentage2011
Roman Catholic church Foreign3Number2011
Protestant church Foreign0Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign50%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign50%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.