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Segeberg

County in Schleswig-Holstein

County

The population development of Segeberg.

NameStatusPopulation
Census
2011-05-09
Population
Census
2022-05-15
 
SegebergCounty260,665277,323
Schleswig-HolsteinState2,800,1192,927,542

Contents: Settlements

The population development of the settlements in Segeberg.

The Details icon links to further information about a selected place including its population structure (gender, age groups, citizenship, country of birth).

Name StatusCountyPopulation
Census
2011-05-09
Population
Census
2022-05-15
 
AlvesloheSettlementSegeberg2,1202,240
ArmstedtSettlementSegeberg380370
Bad BramstedtSettlementSegeberg12,66013,480
Bad SegebergSettlementSegeberg16,57017,460
BarkSettlementSegeberg440435
BebenseeSettlementSegeberg630690
BerlinSettlementSegeberg530550
BimöhlenSettlementSegeberg770900
BissenmoorSettlementSegeberg7501,610
BlunkSettlementSegeberg590550
BockhornSettlementSegeberg465490
BoostedtSettlementSegeberg4,5505,250
BornhövedSettlementSegeberg3,1603,050
BorstelSettlementSegeberg405350
BühnsdorfSettlementSegeberg345355
DaldorfSettlementSegeberg600570
EllerauSettlementSegeberg5,8106,250
FahrenkrugSettlementSegeberg1,5601,480
FehrenbötelSettlementSegeberg450445
FredesdorfSettlementSegeberg390415
FuhlendorfSettlementSegeberg390410
GarbekSettlementSegeberg740750
GeschendorfSettlementSegeberg520530
GönnebekSettlementSegeberg395380
GroßenaspeSettlementSegeberg2,1202,280
Groß KummerfeldSettlementSegeberg780720
Groß NiendorfSettlementSegeberg640650
Groß RönnauSettlementSegeberg580520
HagenSettlementSegeberg435450
HardebekSettlementSegeberg260300
HartenholmSettlementSegeberg1,4701,550
HasenkrugSettlementSegeberg330335
HeidmühlenSettlementSegeberg440410
Henstedt-UlzburgSettlementSegeberg26,12027,340
HitzhusenSettlementSegeberg540530
HüttblekSettlementSegeberg350350
ItzstedtSettlementSegeberg2,3902,490
KaltenkirchenSettlementSegeberg19,61022,970
KattendorfSettlementSegeberg800770
KayhudeSettlementSegeberg970990
KisdorfSettlementSegeberg3,2003,410
Klein GladebrüggeSettlementSegeberg560530
KleinkummerfeldSettlementSegeberg370350
Klein RönnauSettlementSegeberg1,5001,530
KükelsSettlementSegeberg430450
LatendorfSettlementSegeberg330335
LeezenSettlementSegeberg1,5001,590
LentföhrdenSettlementSegeberg2,3202,580
MözenSettlementSegeberg430440
NaheSettlementSegeberg2,3002,420
NegernbötelSettlementSegeberg710700
NeuengörsSettlementSegeberg340350
NeversdorfSettlementSegeberg710690
NorderstedtSettlementSegeberg73,47079,680
NützenSettlementSegeberg1,0001,040
OeringSettlementSegeberg1,2501,350
OersdorfSettlementSegeberg830880
QuaalSettlementSegeberg600570
ReinsbekSettlementSegeberg380400
RicklingSettlementSegeberg2,5402,420
SarauSettlementSegeberg570540
SchackendorfSettlementSegeberg710790
SchlamersdorfSettlementSegeberg490540
SchmalenseeSettlementSegeberg410475
SchmalfeldSettlementSegeberg1,6501,720
SethSettlementSegeberg1,8301,650
SievershüttenSettlementSegeberg1,0801,010
StockseeSettlementSegeberg390385
StrenglinSettlementSegeberg340310
StruvenhüttenSettlementSegeberg740690
StuvenbornSettlementSegeberg760730
SülfeldSettlementSegeberg1,9502,090
TensfeldSettlementSegeberg690680
TodesfeldeSettlementSegeberg910960
TönningstedtSettlementSegeberg430470
TrappenkampSettlementSegeberg5,0504,990
TraventhalSettlementSegeberg475520
WahlstedtSettlementSegeberg9,2909,700
Wakendorf ISettlementSegeberg440485
Wakendorf IISettlementSegeberg1,3301,300
WarderSettlementSegeberg355380
WeddelbrookSettlementSegeberg870910
Weddelbrooker DammSettlementSegeberg590590
WeedeSettlementSegeberg620580
WesterradeSettlementSegeberg450390
WiemersdorfSettlementSegeberg1,4401,590
WillingradeSettlementSegeberg470430
WinsenSettlementSegeberg425355
WittenbornSettlementSegeberg8301,000

Source: Population Grid: Statistisches Bundesamt Deutschland.

Explanation: Boundaries and population of settlements are computed by »City Population« using population figures of a 100m grid and "Ortlagen" geometries. The settlements are delimited by unsettled and not built-up areas as well as by municipal boundaries. Because of the computation method, the population figures are not exact and therefore rounded. Area figures are calculated by geospatial data.