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Friesland

County in Lower Saxony

County

The population development of Friesland.

NameStatusPopulation
Census
2011-05-09
Population
Census
2022-05-15
 
FrieslandCounty98,22999,652
Niedersachsen [Lower Saxony]State7,777,9927,943,265

Contents: Settlements

The population development of the settlements in Friesland.

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
 
AccumSettlementFriesland1,0201,040
BockhornSettlementFriesland4,3604,870
BohlenbergerfeldSettlementFriesland330355
BorgstedeSettlementFriesland980920
CäciliengrodenSettlementFriesland1,2701,140
ClevernsSettlementFriesland720680
DangastSettlementFriesland435590
GrabstedeSettlementFriesland1,0401,000
GrafschaftSettlementFriesland1,5901,600
HohenkirchenSettlementFriesland1,5401,640
HooksielSettlementFriesland2,1802,110
HorumersielSettlementFriesland640660
JeverSettlementFriesland11,96012,500
MariensielSettlementFriesland325335
MoorwarfenSettlementFriesland840940
NeuenburgSettlementFriesland2,6602,620
NeustadtgödensSettlementFriesland1,2801,200
ObenstroheSettlementFriesland3,9603,810
OsterfordeSettlementFriesland560550
Roffhausen - MiddelsfährSettlementFriesland2,1501,980
SandeSettlementFriesland5,4005,090
SchortensSettlementFriesland12,80013,320
SillenstedeSettlementFriesland1,9301,880
SteinhausenSettlementFriesland9201,000
TettensSettlementFriesland475395
UpjeverSettlementFriesland240310
VarelSettlementFriesland15,64016,540
WaddewardenSettlementFriesland670650
WangeroogeSettlementFriesland1,2701,030
ZetelSettlementFriesland7,3007,680

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.