Information about the municipality Crispendorf:

View the information on over 100 topics about the municipality Crispendorf! With charts, links to more information & an overview of all figures in 1 table.
View the information on over 100 topics about the municipality Crispendorf! With charts, links to more information & an overview of all figures in 1 table.
Population numbers per year
The number of inhabitants in the municipality Crispendorf

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Population numbers in the municipality Crispendorf 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 Crispendorf
Map of Rural district Saale-Orla-Kreis with the population per municipality.Municipality Crispendorf 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 Saale-Orla-Kreis with the population per municipality.Municipality Crispendorf is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Stanau, 2: municipality Geroda, 3: municipality Rosendorf, 4: municipality city Triptis, 5: municipality Mittelpöllnitz ...Show more... Map of Rural district Saale-Orla-Kreis with the population per municipality.Municipality Crispendorf is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality Stanau, 2: municipality Geroda, 3: municipality Rosendorf, 4: municipality city Triptis, 5: municipality Mittelpöllnitz, 6: municipality Dreitzsch, 7: municipality city Neustadt an der Orla, 8: municipality Miesitz, 9: municipality Langenorla, 10: municipality Lausnitz b. Neustadt an der Orla, 11: municipality Oppurg, 12: municipality Schmieritz, 13: municipality Lemnitz, 14: municipality Kospoda, 15: municipality Tömmelsdorf, 16: municipality city Pößneck, 17: municipality Krölpa, 18: municipality Weira, 19: municipality Nimritz, 20: municipality Döbritz, 21: municipality Oberoppurg, 22: municipality Solkwitz, 23: municipality Linda b. Neustadt an der Orla, 24: municipality Bodelwitz, 25: municipality Quaschwitz, 26: municipality Gertewitz, 27: municipality Moßbach, 28: municipality Grobengereuth, 29: municipality Wernburg, 30: municipality city Ranis, 31: municipality Dreba, 32: municipality Peuschen, 33: municipality Dittersdorf, 34: municipality Tegau, 35: municipality Knau, 36: municipality Seisla, 37: municipality Moxa, 38: municipality Schmorda, 39: municipality Keila, 40: municipality Plothen, 41: municipality Bucha, 42: municipality Göschitz, 43: municipality Wilhelmsdorf, 44: municipality Pörmitz, 45: municipality Gössitz, 46: municipality Schöndorf, 47: municipality Paska, 48: municipality Volkmannsdorf, 49: municipality Löhma, 50: municipality city Ziegenrück, 51: municipality Neundorf (bei Schleiz), 52: municipality Kirschkau, 53: municipality Oettersdorf, 54: municipality Eßbach, 55: municipality Crispendorf, 56: municipality Görkwitz, 57: municipality city Schleiz, 58: municipality Burgk, 59: municipality Remptendorf, 60: municipality city Saalburg-Ebersdorf, 61: municipality city Tanna, 62: municipality city Bad Lobenstein, 63: municipality city Wurzbach, 64: municipality city Gefell, 65: municipality Birkenhügel, 66: municipality Neundorf (bei Lobenstein), 67: municipality city Hirschberg, 68: municipality Pottiga, 69: municipality Harra, 70: municipality Blankenberg, 71: municipality Schlegel, 72: municipality Blankenstein ...Show less...

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

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Municipality Crispendorf, 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 Crispendorf

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Municipality Crispendorf, 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 Crispendorf.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses1Number2017
Active persons0Number2017
Gross wages€0Euro2017
DwellingsValueUnitYear
Houses 1 room0Number2019
Houses 2 rooms3Number2019
Houses 3 rooms23Number2019
Houses 4 rooms41Number2019
Houses 5 rooms36Number2019
Houses 6 rooms31Number2019
Houses 7+ rooms 45Number2019
Houses 1-2 rooms3Number2019
Houses 3-4 rooms64Number2019
Houses 5+ rooms112Number2019
1-2 rooms2%Percentage2019
3-4 rooms36%Percentage2019
5+ rooms63%Percentage2019
ElectionsValueUnitYear
Voters Bundestag321,00Number2017
Voter turnout Bundestag82Number2017
Votes valid Bundestag260Number2017
Votes Bundestag CDU/CSU80Number2017
Votes Bundestag SPD24Number2017
Votes Bundestag GRÜNE3Number2017
Votes Bundestag FDP11Number2017
Votes Bundestag DIE LINKE30Number2017
Votes Bundestag AfD85Number2017
Votes Bundestag other parties27Number2017
Votes Bundestag total260Number2017
% Votes Bundestag CDU/CSU25%Percentage2017
% Votes Bundestag SPD7%Percentage2017
% Votes Bundestag GRÜNE1%Percentage2017
% Votes Bundestag FDP3%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD26%Percentage2017
% Votes Bundestag other parties8%Percentage2017
EmploymentValueUnitYear
Employeesno dataNumber2018
Employees maleno dataNumber2018
Employees femaleno dataNumber2018
Employees foreignerno dataNumber2018
Employees male foreignerno dataNumber2018
Employees female foreignerno dataNumber2018
Unemployed10Number2018
Unemployed foreigners0Number2018
Unemployed severely disabled1Number2018
Unemployed 15-200Number2018
Unemployed 15-250Number2018
Unemployed 55-654Number2018
Unemployed long-term1Number2018
% 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-term0%Percentage of the population2018
IncomeValueUnitYear
Income receivers173Number2015
Income total€4.769Euro2015
Income tax€526Euro2015
PopulationValueUnitYear
Population378Number2019
Men192Number2019
Women186Number2019
% Men51%Percentage2019
% Women49%Percentage2019
0-1858Number2019
18-3024Number2019
30-4558Number2019
45-60101Number2019
18-60183Number2019
60-7595Number2019
60+137Number2019
Average age49Average number2019
Average age male49Average number2019
Average age female49Average number2019
Births4Number2018
Births male2Number2018
Births female2Number2018
1K Births11Number per 1000 inhabitants2018
Deaths4Number2018
Deaths male2Number2018
Deaths female2Number2018
1K Deaths11Number2018
0-38Number2019
Girls 0-34Number2019
Boys 0-34Number2019
3-614Number2019
Girls 3-68Number2019
Boys 3-66Number2019
6-109Number2019
10-1517Number2019
15-1810Number2019
18-204Number2019
20-255Number2019
25-3015Number2019
30-3523Number2019
35-4018Number2019
40-4517Number2019
45-5026Number2019
50-5528Number2019
55-6047Number2019
60-6539Number2019
65-7556Number2019
Women 65-7026Number2019
Men 65-7030Number2019
75+42Number2019
Women 75+25Number2019
Men 75+17Number2019
% 0-108%Percentage2019
% 10-187%Percentage2019
% 18-306%Percentage2019
% 30-4515%Percentage2019
% 45-6027%Percentage2019
% 60+36%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 rateno dataEurono data
Property tax B rateno dataEurono data
Trade tax rateno dataEurono data
Real tax raising forceno dataEurono data
Trade tax levyno dataEurono data
Trade tax netno dataEurono data
Community share in income taxno dataEurono data
Community share in sales taxno dataEurono data
Tax revenueno dataEurono data
RegionalValueUnitYear
Region code160755013013Code2019
Region code 8 digits16075013Code16075013
Sorting code160755013013Code160755013013
Sorting code 8 digits16075013Code16075013
Region nameCrispendorfName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipalityCategorical type2019
Region name with typemunicipality CrispendorfName2019
Region name in GermanGemeinde CrispendorfName2019
Direct subregionsno dataNumber2019
NUTS codeDEG0KCode2019
Area11Area in km²2019
ReligionValueUnitYear
Roman Catholic church10Number2011
Protestant church255Number2011
Other or none137Number2011
% Roman Catholic church2%Percentage2011
% Protestant church64%Percentage2011
% Other or none34%Percentage2011
Roman Catholic church German10Number2011
Protestant church German255Number2011
Other or none German137Number2011
% Roman Catholic church German2%Percentage2011
% Protestant church German63%Percentage2011
% Other or none German Foreign34%Percentage2011
Roman Catholic church Foreign0Number2011
Protestant church Foreign0Number2011
Other or none Foreign0Number2011
% Roman Catholic church Foreignno dataPercentageno data
% Protestant church Foreignno dataPercentageno data
% Other or none Foreignno dataPercentageno data
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.