Information about the municipality Jakobsweiler:

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

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Population numbers in the municipality Jakobsweiler 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 Jakobsweiler
Map of Rural district Donnersbergkreis with the population per municipality.Municipality Jakobsweiler 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 Donnersbergkreis with the population per municipality.Municipality Jakobsweiler is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Winterborn, 2: municipality Niederhausen an der Appel, 3: municipality Niedermoschel, 4: municipality Mörsfeld, 5: municipality Kalkofen ...Show more... Map of Rural district Donnersbergkreis with the population per municipality.Municipality Jakobsweiler is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Winterborn, 2: municipality Niederhausen an der Appel, 3: municipality Niedermoschel, 4: municipality Mörsfeld, 5: municipality Kalkofen, 6: municipality Münsterappel, 7: municipality city Obermoschel, 8: municipality Alsenz, 9: municipality Oberhausen an der Appel, 10: municipality Unkenbach, 11: municipality Sitters, 12: municipality Oberndorf, 13: municipality Gaugrehweiler, 14: municipality Kriegsfeld, 15: municipality Oberwiesen, 16: municipality Morschheim, 17: municipality Schiersfeld, 18: municipality Mannweiler-Cölln, 19: municipality Ilbesheim, 20: municipality Orbis, 21: municipality Sankt Alban, 22: municipality Finkenbach-Gersweiler, 23: municipality Bayerfeld-Steckweiler, 24: municipality Gerbach, 25: municipality Stetten, 26: municipality Bischheim, 27: municipality Rittersheim, 28: municipality Dielkirchen, 29: municipality city Kirchheimbolanden, 30: municipality Stahlberg, 31: municipality Waldgrehweiler, 32: municipality Einselthum, 33: municipality Gauersheim, 34: municipality Ransweiler, 35: municipality Ruppertsecken, 36: municipality Würzweiler, 37: municipality Katzenbach, 38: municipality Albisheim (Pfrimm), 39: municipality Bisterschied, 40: municipality Schönborn, 41: municipality Zellertal, 42: municipality Bolanden, 43: municipality Immesheim, 44: municipality Teschenmoschel, 45: municipality Dannenfels, 46: municipality Bubenheim, 47: municipality city Rockenhausen, 48: municipality Ottersheim, 49: municipality Bennhausen, 50: municipality Marnheim, 51: municipality Dörrmoschel, 52: municipality Rüssingen, 53: municipality Jakobsweiler, 54: municipality Rathskirchen, 55: municipality Weitersweiler, 56: municipality Falkenstein, 57: municipality Biedesheim, 58: municipality Imsweiler, 59: municipality Steinbach am Donnersberg, 60: municipality Seelen, 61: municipality Dreisen, 62: municipality Standenbühl, 63: municipality Reichsthal, 64: municipality Schweisweiler, 65: municipality Imsbach, 66: municipality Göllheim, 67: municipality Gundersweiler, 68: municipality Lautersheim, 69: municipality Börrstadt, 70: municipality Gehrweiler, 71: municipality Breunigweiler, 72: municipality Kerzenheim, 73: municipality Winnweiler, 74: municipality Höringen, 75: municipality Lohnsfeld, 76: municipality city Eisenberg (Pfalz), 77: municipality Sippersfeld, 78: municipality Gonbach, 79: municipality Münchweiler an der Alsenz, 80: municipality Wartenberg-Rohrbach, 81: municipality Ramsen ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality Jakobsweiler

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Municipality Jakobsweiler, 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 Jakobsweiler

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Municipality Jakobsweiler, 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 Jakobsweiler.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businessesno dataNumber2015
Active personsno dataNumber2015
Gross wagesno dataEuro2015
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms2Number2019
Houses 3 rooms9Number2019
Houses 4 rooms17Number2019
Houses 5 rooms33Number2019
Houses 6 rooms32Number2019
Houses 7+ rooms 30Number2019
Houses 1-2 rooms2Number2019
Houses 3-4 rooms26Number2019
Houses 5+ rooms95Number2019
1-2 rooms2%Percentage2019
3-4 rooms21%Percentage2019
5+ rooms77%Percentage2019
ElectionsValueUnitYear
Voters Bundestag195,00Number2017
Voter turnout Bundestag65Number2017
Votes valid Bundestag88Number2017
Votes Bundestag CDU/CSU28Number2017
Votes Bundestag SPD22Number2017
Votes Bundestag GRÜNE3Number2017
Votes Bundestag FDP7Number2017
Votes Bundestag DIE LINKE11Number2017
Votes Bundestag AfD13Number2017
Votes Bundestag other parties4Number2017
Votes Bundestag total88Number2017
% Votes Bundestag CDU/CSU14%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE6%Percentage2017
% Votes Bundestag AfD7%Percentage2017
% Votes Bundestag other parties2%Percentage2017
EmploymentValueUnitYear
Employees94Number2019
Employees male51Number2019
Employees female43Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed1Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled0Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-650Number2018
Unemployed long-term0Number2018
% Unemployed0%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 receivers118Number2015
Income total€4.943Euro2015
Income tax€869Euro2015
PopulationValueUnitYear
Population250Number2019
Men122Number2019
Women128Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-1850Number2019
18-3015Number2019
30-4537Number2019
45-6075Number2019
18-60127Number2019
60-7545Number2019
60+73Number2019
Average age46Average number2019
Average age male45Average number2019
Average age female47Average number2019
Birthsno dataNumber2017
Births maleno dataNumber2017
Births femaleno dataNumber2017
1K Birthsno dataNumber per 1000 inhabitants2017
Deaths3Number2018
Deaths male3Number2018
Deaths female0Number2018
1K Deaths12Number2018
0-34Number2019
Girls 0-31Number2019
Boys 0-33Number2019
3-69Number2019
Girls 3-65Number2019
Boys 3-64Number2019
6-1013Number2019
10-1517Number2019
15-187Number2019
18-206Number2019
20-253Number2019
25-306Number2019
30-357Number2019
35-4011Number2019
40-4519Number2019
45-5022Number2019
50-5528Number2019
55-6025Number2019
60-6517Number2019
65-7528Number2019
Women 65-7012Number2019
Men 65-7016Number2019
75+28Number2019
Women 75+19Number2019
Men 75+9Number2019
% 0-1010%Percentage2019
% 10-1810%Percentage2019
% 18-306%Percentage2019
% 30-4515%Percentage2019
% 45-6030%Percentage2019
% 60+29%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 amount€285Euro2018
Property tax A rate€330Euro2018
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levy€195Euro2018
Trade tax net€846Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073335004035Code2019
Region code 8 digits07333035Code07333035
Sorting code073335004035Code073335004035
Sorting code 8 digits07333035Code07333035
Region nameJakobsweilerName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality JakobsweilerName2019
Region name in GermanGemeinde JakobsweilerName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3DCode2019
Area2Area in km²2019
ReligionValueUnitYear
Roman Catholic church21Number2011
Protestant church125Number2011
Other or none103Number2011
% Roman Catholic church9%Percentage2011
% Protestant church51%Percentage2011
% Other or none42%Percentage2011
Roman Catholic church German21Number2011
Protestant church German125Number2011
Other or none German97Number2011
% Roman Catholic church German9%Percentage2011
% Protestant church German51%Percentage2011
% Other or none German Foreign40%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.