Information about the municipality Saalstadt:

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

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Population numbers in the municipality Saalstadt 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 Saalstadt
Map of Rural district Südwestpfalz with the population per municipality.Municipality Saalstadt 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 Südwestpfalz with the population per municipality.Municipality Saalstadt is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach ...Show more... Map of Rural district Südwestpfalz with the population per municipality.Municipality Saalstadt is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Obernheim-Kirchenarnbach, 2: municipality Bechhofen, 3: municipality Rosenkopf, 4: municipality Hettenhausen, 5: municipality Knopp-Labach, 6: municipality Wiesbach, 7: municipality Weselberg, 8: municipality Horbach, 9: municipality Schmalenberg, 10: municipality Krähenberg, 11: municipality Geiselberg, 12: municipality Käshofen, 13: municipality Saalstadt, 14: municipality Wallhalben, 15: municipality Biedershausen, 16: municipality Steinalben, 17: municipality Hermersberg, 18: municipality Kleinbundenbach, 19: municipality Schauerberg, 20: municipality Schmitshausen, 21: municipality Heltersberg, 22: municipality Winterbach (Pfalz), 23: municipality Großbundenbach, 24: municipality Herschberg, 25: municipality Höheinöd, 26: municipality Waldfischbach-Burgalben, 27: municipality Leimen, 28: municipality Reifenberg, 29: municipality Battweiler, 30: municipality Maßweiler, 31: municipality Donsieders, 32: municipality Thaleischweiler-Fröschen, 33: municipality Clausen, 34: municipality Rieschweiler-Mühlbach, 35: municipality Merzalben, 36: municipality Höhfröschen, 37: municipality Contwig, 38: municipality Wilgartswiesen, 39: municipality Petersberg, 40: municipality city Rodalben, 41: municipality Dellfeld, 42: municipality Höheischweiler, 43: municipality Nünschweiler, 44: municipality Münchweiler an der Rodalb, 45: municipality Walshausen, 46: municipality Althornbach, 47: municipality Spirkelbach, 48: municipality Dietrichingen, 49: municipality Kleinsteinhausen, 50: municipality Ruppertsweiler, 51: municipality Großsteinhausen, 52: municipality Hinterweidenthal, 53: municipality Bottenbach, 54: municipality Mauschbach, 55: municipality city Hornbach, 56: municipality Hauenstein, 57: municipality Lug, 58: municipality Riedelberg, 59: municipality Schwanheim, 60: municipality Vinningen, 61: municipality Dimbach, 62: municipality Erfweiler, 63: municipality Obersimten, 64: municipality Kröppen, 65: municipality Darstein, 66: municipality Lemberg, 67: municipality city Dahn, 68: municipality Trulben, 69: municipality Schindhard, 70: municipality Busenberg, 71: municipality Schweix, 72: municipality Hilst, 73: municipality Bruchweiler-Bärenbach, 74: municipality Erlenbach bei Dahn, 75: municipality Eppenbrunn, 76: municipality Bundenthal, 77: municipality Fischbach bei Dahn, 78: municipality Rumbach, 79: municipality Ludwigswinkel, 80: municipality Niederschlettenbach, 81: municipality Nothweiler, 82: municipality Schönau (Pfalz), 83: municipality Bobenthal, 84: municipality Hirschthal ...Show less...

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

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Municipality Saalstadt, 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 Saalstadt

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Municipality Saalstadt, 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 Saalstadt.

Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for the municipality Saalstadt. 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 rooms14Number2019
Houses 4 rooms29Number2019
Houses 5 rooms46Number2019
Houses 6 rooms24Number2019
Houses 7+ rooms 61Number2019
Houses 1-2 rooms5Number2019
Houses 3-4 rooms43Number2019
Houses 5+ rooms131Number2019
1-2 rooms3%Percentage2019
3-4 rooms24%Percentage2019
5+ rooms73%Percentage2019
ElectionsValueUnitYear
Voters Bundestag264,00Number2017
Voter turnout Bundestag80Number2017
Votes valid Bundestag159Number2017
Votes Bundestag CDU/CSU91Number2017
Votes Bundestag SPD30Number2017
Votes Bundestag GRÜNE4Number2017
Votes Bundestag FDP13Number2017
Votes Bundestag DIE LINKE11Number2017
Votes Bundestag AfD8Number2017
Votes Bundestag other parties2Number2017
Votes Bundestag total159Number2017
% Votes Bundestag CDU/CSU34%Percentage2017
% Votes Bundestag SPD11%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP5%Percentage2017
% Votes Bundestag DIE LINKE4%Percentage2017
% Votes Bundestag AfD3%Percentage2017
% Votes Bundestag other parties1%Percentage2017
EmploymentValueUnitYear
Employees124Number2019
Employees male64Number2019
Employees female60Number2019
Employees foreigner0Number2019
Employees male foreigner0Number2019
Employees female foreigner0Number2019
Unemployed8Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-654Number2018
Unemployed long-term3Number2018
% Unemployed3%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 55-651%Percentage of the population2018
% Unemployed long-term1%Percentage of the population2018
IncomeValueUnitYear
Income receivers151Number2015
Income total€5.251Euro2015
Income tax€711Euro2015
PopulationValueUnitYear
Population316Number2019
Men151Number2019
Women165Number2019
% Men48%Percentage2019
% Women52%Percentage2019
0-1843Number2019
18-3023Number2019
30-4559Number2019
45-6064Number2019
18-60146Number2019
60-7588Number2019
60+127Number2019
Average age49Average number2019
Average age male50Average number2019
Average age female48Average number2019
Births2Number2018
Births male0Number2018
Births female2Number2018
1K Births6Number per 1000 inhabitants2018
Deaths5Number2018
Deaths male1Number2018
Deaths female4Number2018
1K Deaths16Number2018
0-311Number2019
Girls 0-36Number2019
Boys 0-35Number2019
3-67Number2019
Girls 3-63Number2019
Boys 3-64Number2019
6-1016Number2019
10-157Number2019
15-182Number2019
18-203Number2019
20-257Number2019
25-3013Number2019
30-3520Number2019
35-4024Number2019
40-4515Number2019
45-5021Number2019
50-5518Number2019
55-6025Number2019
60-6535Number2019
65-7553Number2019
Women 65-7029Number2019
Men 65-7024Number2019
75+39Number2019
Women 75+19Number2019
Men 75+20Number2019
% 0-1011%Percentage2019
% 10-183%Percentage2019
% 18-307%Percentage2019
% 30-4519%Percentage2019
% 45-6020%Percentage2019
% 60+40%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€7.374Euro2018
Trade tax net€32.034Euro2018
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code073405009041Code2019
Region code 8 digits07340041Code07340041
Sorting code073405009041Code073405009041
Sorting code 8 digits07340041Code07340041
Region nameSaalstadtName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality SaalstadtName2019
Region name in GermanGemeinde SaalstadtName2019
Direct subregionsno dataNumber2019
NUTS codeDEB3KCode2019
Area5Area in km²2019
ReligionValueUnitYear
Roman Catholic church81Number2011
Protestant church199Number2011
Other or none38Number2011
% Roman Catholic church26%Percentage2011
% Protestant church63%Percentage2011
% Other or none12%Percentage2011
Roman Catholic church German81Number2011
Protestant church German187Number2011
Other or none German35Number2011
% Roman Catholic church German27%Percentage2011
% Protestant church German62%Percentage2011
% Other or none German Foreign12%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign12Number2011
Other or none Foreign3Number2011
% Roman Catholic church Foreign0%Percentage2011
% Protestant church Foreign80%Percentage2011
% Other or none Foreign20%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.