Information about the municipality Oberschlettenbach:

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

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

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Municipality Oberschlettenbach, 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 Oberschlettenbach

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Municipality Oberschlettenbach, 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 Oberschlettenbach.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms5Number2019
Houses 3 rooms8Number2019
Houses 4 rooms4Number2019
Houses 5 rooms27Number2019
Houses 6 rooms16Number2019
Houses 7+ rooms 19Number2019
Houses 1-2 rooms5Number2019
Houses 3-4 rooms12Number2019
Houses 5+ rooms62Number2019
1-2 rooms6%Percentage2019
3-4 rooms15%Percentage2019
5+ rooms78%Percentage2019
ElectionsValueUnitYear
Voters Bundestag119,00Number2017
Voter turnout Bundestag77Number2017
Votes valid Bundestag75Number2017
Votes Bundestag CDU/CSU23Number2017
Votes Bundestag SPD25Number2017
Votes Bundestag GRÜNE3Number2017
Votes Bundestag FDP7Number2017
Votes Bundestag DIE LINKE12Number2017
Votes Bundestag AfD1Number2017
Votes Bundestag other parties4Number2017
Votes Bundestag total75Number2017
% Votes Bundestag CDU/CSU19%Percentage2017
% Votes Bundestag SPD21%Percentage2017
% Votes Bundestag GRÜNE3%Percentage2017
% Votes Bundestag FDP6%Percentage2017
% Votes Bundestag DIE LINKE10%Percentage2017
% Votes Bundestag AfD1%Percentage2017
% Votes Bundestag other parties3%Percentage2017
EmploymentValueUnitYear
Employees43Number2019
Employees male0Number2019
Employees female0Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed3Number2018
Unemployed foreigners1Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-651Number2018
Unemployed long-term2Number2018
% Unemployed2%Percentage2018
% Unemployed foreigners1%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-term2%Percentage of the population2018
IncomeValueUnitYear
Income receivers56Number2015
Income total€1.985Euro2015
Income tax€285Euro2015
PopulationValueUnitYear
Population132Number2019
Men61Number2019
Women71Number2019
% Men46%Percentage2019
% Women54%Percentage2019
0-1818Number2019
18-307Number2019
30-4520Number2019
45-6035Number2019
18-6062Number2019
60-7532Number2019
60+52Number2019
Average age51Average number2019
Average age male53Average number2019
Average age female50Average number2019
Births1Number2018
Births male0Number2018
Births female1Number2018
1K Births7Number per 1000 inhabitants2018
Deaths2Number2018
Deaths male2Number2018
Deaths female0Number2018
1K Deaths14Number2018
0-32Number2019
Girls 0-31Number2019
Boys 0-31Number2019
3-61Number2019
Girls 3-60Number2019
Boys 3-61Number2019
6-104Number2019
10-157Number2019
15-184Number2019
18-203Number2019
20-252Number2019
25-302Number2019
30-357Number2019
35-406Number2019
40-457Number2019
45-509Number2019
50-5513Number2019
55-6013Number2019
60-6510Number2019
65-7522Number2019
Women 65-709Number2019
Men 65-7013Number2019
75+20Number2019
Women 75+11Number2019
Men 75+9Number2019
% 0-105%Percentage2019
% 10-188%Percentage2019
% 18-305%Percentage2019
% 30-4515%Percentage2019
% 45-6027%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 rate€300Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€1.393Euro2018
Trade tax net€6.050Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073375002060Code2019
Region code 8 digits07337060Code07337060
Sorting code073375002060Code073375002060
Sorting code 8 digits07337060Code07337060
Region nameOberschlettenbachName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality OberschlettenbachName2019
Region name in GermanGemeinde OberschlettenbachName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3HCode2019
Area5Area in km²2019
ReligionValueUnitYear
Roman Catholic church18Number2011
Protestant church67Number2011
Other or none56Number2011
% Roman Catholic church13%Percentage2011
% Protestant church47%Percentage2011
% Other or none39%Percentage2011
Roman Catholic church German18Number2011
Protestant church German67Number2011
Other or none German50Number2011
% Roman Catholic church German13%Percentage2011
% Protestant church German50%Percentage2011
% Other or none German Foreign37%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign6Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign100%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.