Information about the municipality Albersweiler:

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

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

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Municipality Albersweiler, 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 Albersweiler

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Municipality Albersweiler, 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 Albersweiler.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses2Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room7Number2019
Houses 2 rooms41Number2019
Houses 3 rooms132Number2019
Houses 4 rooms170Number2019
Houses 5 rooms237Number2019
Houses 6 rooms178Number2019
Houses 7+ rooms 245Number2019
Houses 1-2 rooms48Number2019
Houses 3-4 rooms302Number2019
Houses 5+ rooms660Number2019
1-2 rooms5%Percentage2019
3-4 rooms30%Percentage2019
5+ rooms65%Percentage2019
ElectionsValueUnitYear
Voters Bundestag1511,00Number2017
Voter turnout Bundestag76Number2017
Votes valid Bundestag831Number2017
Votes Bundestag CDU/CSU272Number2017
Votes Bundestag SPD233Number2017
Votes Bundestag GRÜNE53Number2017
Votes Bundestag FDP55Number2017
Votes Bundestag DIE LINKE51Number2017
Votes Bundestag AfD138Number2017
Votes Bundestag other parties29Number2017
Votes Bundestag total831Number2017
% Votes Bundestag CDU/CSU18%Percentage2017
% Votes Bundestag SPD15%Percentage2017
% Votes Bundestag GRÜNE4%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE3%Percentage2017
% Votes Bundestag AfD9%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees720Number2019
Employees male390Number2019
Employees female330Number2019
Employees foreigner65Number2019
Employees male foreigner41Number2019
Employees female foreigner24Number2019
Unemployed46Number2018
Unemployed foreigners10Number2018
Unemployed severely disabled2Number2018
Unemployed 15-201Number2018
Unemployed 15-255Number2018
Unemployed 55-6511Number2018
Unemployed long-term18Number2018
% 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-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers932Number2015
Income total€29.791Euro2015
Income tax€4.243Euro2015
PopulationValueUnitYear
Population1.935Number2019
Men941Number2019
Women994Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-18315Number2019
18-30225Number2019
30-45326Number2019
45-60457Number2019
18-601.008Number2019
60-75367Number2019
60+612Number2019
Average age46Average number2019
Average age male44Average number2019
Average age female48Average number2019
Births10Number2018
Births male8Number2018
Births female2Number2018
1K Births5Number per 1000 inhabitants2018
Deaths25Number2018
Deaths male15Number2018
Deaths female10Number2018
1K Deaths13Number2018
0-348Number2019
Girls 0-326Number2019
Boys 0-322Number2019
3-657Number2019
Girls 3-627Number2019
Boys 3-630Number2019
6-1064Number2019
10-1590Number2019
15-1856Number2019
18-2043Number2019
20-2569Number2019
25-30113Number2019
30-35103Number2019
35-40117Number2019
40-45106Number2019
45-50134Number2019
50-55160Number2019
55-60163Number2019
60-65121Number2019
65-75246Number2019
Women 65-70133Number2019
Men 65-70113Number2019
75+245Number2019
Women 75+151Number2019
Men 75+94Number2019
% 0-109%Percentage2019
% 10-188%Percentage2019
% 18-3012%Percentage2019
% 30-4517%Percentage2019
% 45-6024%Percentage2019
% 60+32%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€318Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€62.232Euro2018
Trade tax net€288.561Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073375001001Code2019
Region code 8 digits07337001Code07337001
Sorting code073375001001Code073375001001
Sorting code 8 digits07337001Code07337001
Region nameAlbersweilerName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality AlbersweilerName2019
Region name in GermanGemeinde AlbersweilerName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3HCode2019
Area11Area in km²2019
ReligionValueUnitYear
Roman Catholic church871Number2011
Protestant church663Number2011
Other or none357Number2011
% Roman Catholic church46%Percentage2011
% Protestant church35%Percentage2011
% Other or none19%Percentage2011
Roman Catholic church German845Number2011
Protestant church German663Number2011
Other or none German324Number2011
% Roman Catholic church German46%Percentage2011
% Protestant church German36%Percentage2011
% Other or none German Foreign18%Percentage2011
Roman Catholic church Foreign26Number2011
Protestant church Foreign0Number2011
Other or none Foreign33Number2011
% Roman Catholic church Foreign44%Percentage2011
% Protestant church Foreign0%Percentage2011
% Other or none Foreign56%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.