Information about the municipality Hochstadt (Pfalz):

Population numbers per year
The number of inhabitants in the municipality Hochstadt (Pfalz)

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Population numbers in the municipality Hochstadt (Pfalz) 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 Hochstadt (Pfalz)
Map of Rural district Südliche Weinstraße with the population per municipality.Municipality Hochstadt (Pfalz) 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 Hochstadt (Pfalz) 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 Hochstadt (Pfalz) 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 Hochstadt (Pfalz)

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Municipality Hochstadt (Pfalz), 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 Hochstadt (Pfalz)

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Municipality Hochstadt (Pfalz), 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 Hochstadt (Pfalz).

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room17Number2019
Houses 2 rooms42Number2019
Houses 3 rooms111Number2019
Houses 4 rooms194Number2019
Houses 5 rooms209Number2019
Houses 6 rooms229Number2019
Houses 7+ rooms 314Number2019
Houses 1-2 rooms59Number2019
Houses 3-4 rooms305Number2019
Houses 5+ rooms752Number2019
1-2 rooms5%Percentage2019
3-4 rooms27%Percentage2019
5+ rooms67%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1905,00Number2017
Voter turnout Bundestag80Number2017
Votes valid Bundestag1.133Number2017
Votes Bundestag CDU/CSU368Number2017
Votes Bundestag SPD325Number2017
Votes Bundestag GRÜNE54Number2017
Votes Bundestag FDP132Number2017
Votes Bundestag DIE LINKE68Number2017
Votes Bundestag AfD151Number2017
Votes Bundestag other parties35Number2017
Votes Bundestag total1.133Number2017
% Votes Bundestag CDU/CSU19%Percentage2017
% Votes Bundestag SPD17%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP7%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD8%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees1.037Number2019
Employees male569Number2019
Employees female468Number2019
Employees foreigner147Number2019
Employees male foreigner88Number2019
Employees female foreigner59Number2019
Unemployed33Number2018
Unemployed foreigners8Number2018
Unemployed severely disabled3Number2018
Unemployed 15-200Number2018
Unemployed 15-253Number2018
Unemployed 55-6510Number2018
Unemployed long-term10Number2018
% 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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers1.214Number2015
Income total€48.176Euro2015
Income tax€7.712Euro2015
PopulationValueUnitYear
Population2.477Number2019
Men1.214Number2019
Women1.263Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18434Number2019
18-30301Number2019
30-45434Number2019
45-60605Number2019
18-601.340Number2019
60-75455Number2019
60+703Number2019
Average age44Average number2019
Average age male44Average number2019
Average age female45Average number2019
Births20Number2018
Births male15Number2018
Births female5Number2018
1K Births8Number per 1000 inhabitants2018
Deaths24Number2018
Deaths male11Number2018
Deaths female13Number2018
1K Deaths10Number2018
0-380Number2019
Girls 0-333Number2019
Boys 0-347Number2019
3-674Number2019
Girls 3-638Number2019
Boys 3-636Number2019
6-1094Number2019
10-15123Number2019
15-1863Number2019
18-2057Number2019
20-25121Number2019
25-30123Number2019
30-35165Number2019
35-40122Number2019
40-45147Number2019
45-50182Number2019
50-55205Number2019
55-60218Number2019
60-65171Number2019
65-75284Number2019
Women 65-70134Number2019
Men 65-70150Number2019
75+248Number2019
Women 75+146Number2019
Men 75+102Number2019
% 0-1010%Percentage2019
% 10-188%Percentage2019
% 18-3012%Percentage2019
% 30-4518%Percentage2019
% 45-6024%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€305Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€83.405Euro2018
Trade tax net€374.529Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073375007041Code2019
Region code 8 digits07337041Code07337041
Sorting code073375007041Code073375007041
Sorting code 8 digits07337041Code07337041
Region nameHochstadt (Pfalz)Name2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality Hochstadt (Pfalz)Name2019
Region name in GermanGemeinde Hochstadt (Pfalz)Name2019
Direct subregionsno dataNumber2019
NUTS codeDEB3HCode2019
Area15Area in km²2019
ReligionValueUnitYear
Roman Catholic church674Number2011
Protestant church1.310Number2011
Other or none418Number2011
% Roman Catholic church28%Percentage2011
% Protestant church55%Percentage2011
% Other or none17%Percentage2011
Roman Catholic church German623Number2011
Protestant church German1.310Number2011
Other or none German396Number2011
% Roman Catholic church German27%Percentage2011
% Protestant church German56%Percentage2011
% Other or none German Foreign17%Percentage2011
Roman Catholic church Foreign51Number2011
Protestant church Foreign0Number2011
Other or none Foreign22Number2011
% Roman Catholic church Foreign70%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign30%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.