Information about the municipality city Niesky:

Population numbers per year
The number of inhabitants in the municipality city Niesky

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Population numbers in the municipality city Niesky 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 Niesky
Map of Rural district Görlitz with the population per municipality.Municipality Niesky 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 Görlitz with the population per municipality.Municipality Niesky is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bad Muskau, 2: municipality Groß Düben, 3: municipality Gablenz, 4: municipality Schleife, 5: municipality Trebendorf ...Show more... Map of Rural district Görlitz with the population per municipality.Municipality Niesky is highlighted with a red edge. The numbers at the map represent the following municipalities: 1: municipality city Bad Muskau, 2: municipality Groß Düben, 3: municipality Gablenz, 4: municipality Schleife, 5: municipality Trebendorf, 6: municipality city Weißwasser/O.L., 7: municipality Krauschwitz i.d. O.L., 8: municipality Weißkeißel, 9: municipality Rietschen, 10: municipality Boxberg/O.L., 11: municipality Hähnichen, 12: municipality city Rothenburg/O.L., 13: municipality Kreba-Neudorf, 14: municipality city Niesky, 15: municipality Mücka, 16: municipality Horka, 17: municipality Quitzdorf am See, 18: municipality Neißeaue, 19: municipality Hohendubrau, 20: municipality Waldhufen, 21: municipality Kodersdorf, 22: municipality Vierkirchen, 23: municipality Schöpstal, 24: municipality Königshain, 25: municipality city Görlitz, 26: municipality city Reichenbach/O.L., 27: municipality Markersdorf, 28: municipality city Löbau, 29: municipality Lawalde, 30: municipality Rosenbach, 31: municipality Beiersdorf, 32: municipality Großschweidnitz, 33: municipality Schönbach, 34: municipality Oppach, 35: municipality Schönau-Berzdorf a.d. Eigen, 36: municipality Dürrhennersdorf, 37: municipality city Bernstadt a.d. Eigen, 38: municipality city Neusalza-Spremberg, 39: municipality Kottmar, 40: municipality city Ostritz, 41: municipality city Herrnhut, 42: municipality city Ebersbach-Neugersdorf, 43: municipality Oderwitz, 44: municipality Leutersdorf, 45: municipality city Seifhennersdorf, 46: municipality Mittelherwigsdorf, 47: municipality city Zittau, 48: municipality Hainewalde, 49: municipality Bertsdorf-Hörnitz, 50: municipality Großschönau, 51: municipality Olbersdorf, 52: municipality Jonsdorf, 53: municipality Oybin ...Show less...

Population per age group
The percentage of inhabitants per age group in the municipality city Niesky

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Municipality city Niesky, 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 city Niesky

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Municipality city Niesky, 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 city Niesky.

Data about more than 100 topics!

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

BusinessValueUnitYear
Businesses8Number2017
Active persons688Number2017
Gross wages€22.721Euro2017
DwellingsValueUnitYear
Houses 1 room122Number2019
Houses 2 rooms293Number2019
Houses 3 rooms993Number2019
Houses 4 rooms1.855Number2019
Houses 5 rooms1.054Number2019
Houses 6 rooms710Number2019
Houses 7+ rooms 395Number2019
Houses 1-2 rooms415Number2019
Houses 3-4 rooms2.848Number2019
Houses 5+ rooms2.159Number2019
1-2 rooms8%Percentage2019
3-4 rooms53%Percentage2019
5+ rooms40%Percentage2019
ElectionsValueUnitYear
Voters Bundestag8125,00Number2017
Voter turnout Bundestag59Number2017
Votes valid Bundestag4.748Number2017
Votes Bundestag CDU/CSU1.274Number2017
Votes Bundestag SPD492Number2017
Votes Bundestag GRÜNE126Number2017
Votes Bundestag FDP329Number2017
Votes Bundestag DIE LINKE696Number2017
Votes Bundestag AfD1.517Number2017
Votes Bundestag other parties314Number2017
Votes Bundestag total4.748Number2017
% Votes Bundestag CDU/CSU16%Percentage2017
% Votes Bundestag SPD6%Percentage2017
% Votes Bundestag GRÜNE2%Percentage2017
% Votes Bundestag FDP4%Percentage2017
% Votes Bundestag DIE LINKE9%Percentage2017
% Votes Bundestag AfD19%Percentage2017
% Votes Bundestag other parties4%Percentage2017
EmploymentValueUnitYear
Employees3.576Number2019
Employees male1.849Number2019
Employees female1.727Number2019
Employees foreigner63Number2019
Employees male foreigner39Number2019
Employees female foreigner24Number2019
Unemployed348Number2018
Unemployed foreigners15Number2018
Unemployed severely disabled28Number2018
Unemployed 15-205Number2018
Unemployed 15-2523Number2018
Unemployed 55-65134Number2018
Unemployed long-term169Number2018
% Unemployed4%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-term2%Percentage of the population2018
IncomeValueUnitYear
Income receivers4.300Number2015
Income total€123.080Euro2015
Income tax€17.255Euro2015
PopulationValueUnitYear
Population9.402Number2019
Men4.570Number2019
Women4.832Number2019
% Men49%Percentage2019
% Women51%Percentage2019
0-181.277Number2019
18-30745Number2019
30-451.321Number2019
45-602.256Number2019
18-604.322Number2019
60-752.109Number2019
60+3.803Number2019
Average age51Average number2019
Average age male49Average number2019
Average age female53Average number2019
Births70Number2018
Births male35Number2018
Births female35Number2018
1K Births7Number per 1000 inhabitants2018
Deaths150Number2018
Deaths male84Number2018
Deaths female66Number2018
1K Deaths16Number2018
0-3202Number2019
Girls 0-3110Number2019
Boys 0-392Number2019
3-6200Number2019
Girls 3-691Number2019
Boys 3-6109Number2019
6-10276Number2019
10-15376Number2019
15-18223Number2019
18-20149Number2019
20-25302Number2019
25-30294Number2019
30-35445Number2019
35-40456Number2019
40-45420Number2019
45-50583Number2019
50-55716Number2019
55-60957Number2019
60-65814Number2019
65-751.295Number2019
Women 65-70675Number2019
Men 65-70620Number2019
75+1.694Number2019
Women 75+1.035Number2019
Men 75+659Number2019
% 0-107%Percentage2019
% 10-186%Percentage2019
% 18-308%Percentage2019
% 30-4514%Percentage2019
% 45-6024%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 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 code146260370370Code2019
Region code 8 digits14626370Code14626370
Sorting code146260370370Code146260370370
Sorting code 8 digits14626370Code14626370
Region nameNieskyName2019
Regional level6Categorical type2019
Region typeMunicipalityCategorical type2019
Region type detailmunicipality cityCategorical type2019
Region name with typemunicipality city NieskyName2019
Region name in GermanGemeinde Stadt NieskyName2019
Direct subregionsno dataNumber2019
NUTS codeDED2DCode2019
Area54Area in km²2019
ReligionValueUnitYear
Roman Catholic church357Number2011
Protestant church2.159Number2011
Other or none7.420Number2011
% Roman Catholic church4%Percentage2011
% Protestant church22%Percentage2011
% Other or none75%Percentage2011
Roman Catholic church German342Number2011
Protestant church German2.156Number2011
Other or none German7.252Number2011
% Roman Catholic church German4%Percentage2011
% Protestant church German22%Percentage2011
% Other or none German Foreign74%Percentage2011
Roman Catholic church Foreign15Number2011
Protestant church Foreign3Number2011
Other or none Foreign168Number2011
% Roman Catholic church Foreign8%Percentage2011
% Protestant church Foreign2%Percentage2011
% Other or none Foreign90%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.