To the Top
The 3 steps are Choose table, Choose variable and Show result. You are currently at Show result

Population and population growth by time, type and place of birth

Table: Population and population growth 1901-2024 [BEESAT1]

Result

Tools

Lars Pedersen. LARP@stat.gl
2/11/2025
personer og percent
Annually
2/10/2026
3/7/2011
Yes
Statsministeriets Grønlandsafdeling, Statistics Denmark og Statistics Greenland
BEXSAT1
Viewing options for result.

















Available format for downloading data.










It is not possible to update the query since there is no defined time variable in this table.
What do you want to do with your saved query if the tables are updated with new time periods?

Which rows are to be displayed?



Population and population growth by time, type and place of birth

This page shows the results of the figures you selected on the variable-page in PxWeb. On this result-page you can download the numbers in another format, pivot or edit them. You can also save them as a saved query, which can be sent to others or used as a link the next time you want to see these numbers with new time periods.
 Number
Total
190111,893
191113,459
192114,355
193016,901
194621,412
195123,642
195627,101
196133,140
196234,312
196335,499
196436,967
196538,815
196639,615
196742,102
196843,792
196945,639
197046,331
197146,532
197247,935
197348,581
197449,468
197549,502
197649,666
1) 1901-30: Natives. 1945-51: Persons under greenlandic jurisdiction. 2) Northgreenland, in 1930 this was 271 persons, alle born in Greenland. 3) the large fluctuations in the population growth is caused by technical factors at registration. 4) From 1966 and on the civil part of the population in Kangerlussuaq (Sdr. Strømfjord). Hereby 579 persons was counted as part of the, greenlandic population, all but 5 born outside Greenland.

time

1901

1. october

1911

1. october

1921

1. october

1930

1. october

1946

31. december

1951

31. december

1956

31. december

1961

31. december

1962

31. december

1963

31. december

1964

31. december

1965

31. december

1966

31. december

1967

31. december

1968

31. december

1969

31. december

1970

31. december

1971

31. december

1972

31. december

1973

31. december

1974

1. january

1975

1. january

1976

1. january
POST the following JSON query to the URL below to access this table from your application.