{{위키데이터 속성 추적}}
[[파일:Population_of_Denmark_1769-2006.jpg|오른쪽|섬네일|400x400픽셀|1769-2006 덴마크의 인구]]
[[파일:Denmark single age population pyramid 2020.png|섬네일|350x350픽셀|2020년 덴마크의 인구 피라미드]]{{Historical populations|1870|19=1960|type=|32=5,822,863|31=2020|30=5,560,628|29=2011|28=5,330,020|27=2000|26=5,135,409|25=1990|24=5,122,065|23=1980|22=4,937,579|21=1970|20=4,585,256|18=4,281,275|1,784,741|9=1911|1880|1,969,039|1890|2,172,380|1901|2,449,540|10=2,747,076|17=1950|11=1921|12=3,267,831|13=1930|14=3,550,656|15=1940|16=3,844,312|footnote=출처: 덴마크 통계청<br />2020년 추계<ref>{{웹 인용|title=Population and population projections|url=https://www.dst.dk/en/Statistik/emner/befolkning-og-valg/befolkning-og-befolkningsfremskrivning|publisher=Statistics Denmark|access-date=10 August 2019|archive-url=https://web.archive.org/web/20181030090527/https://www.dst.dk/en/Statistik/emner/befolkning-og-valg/befolkning-og-befolkningsfremskrivning|archive-date=30 October 2018|url-status=dead|df=dmy-all}}</ref>}}

== 인구학적 동향 ==
2021년 덴마크의 통계청에 따르면, 전체 인구 584만 45명의 86%가 덴마크인이며<ref name="statbank.dk2">[http://www.statbank.dk/statbank5a/Graphics/MakeGraph.asp?gr_type=1&gr_width=600&gr_height=600&gr_fontsize=11&menu=y&PLanguage=1&pxfile=201282423219110521660FOLK2.px&wonload=600&honload=600&rotate=] {{깨진 링크|date=August 2017}}</ref><ref name="dst.dk">{{웹 인용|url=http://www.dst.dk/en/Statistik/emner/befolkning-og-valg/indvandrere-og-efterkommere/indvandrere-og-efterkommere|title=IMMIGRANTS AND THEIR DESCENDANTS|website=Dst.dk|access-date=11 September 2017}}</ref> 부모 중에 적어도 한 명 이상이 덴마크에서 태어나 덴마크 시민권을 가지고 있는 것으로 나타났다.<ref>[http://www.statbank.dk/statbank5a/Graphics/MakeGraph.asp?gr_type=5&gr_width=600&gr_height=600&gr_fontsize=11&menu=y&PLanguage=1&pxfile=201282423219110521660FOLK2.px&wonload=600&honload=600&rotate=] {{깨진 링크|date=August 2017}}</ref><ref name="statbank.dk3">[http://www.statbank.dk/statbank5a/Graphics/MakeGraph.asp?gr_type=1&gr_width=600&gr_height=600&gr_fontsize=11&menu=y&PLanguage=1&pxfile=201282423219110521660FOLK2.px&wonload=600&honload=600&rotate=] {{깨진 링크|date=August 2017}}</ref> 나머지 14%는 외국인 이민자이거나 이민자의 후손이며, 주로 [[터키]], [[폴란드]], [[독일]], [[이라크]], [[루마니아]], [[시리아]], [[소말리아]], [[이란]], [[아프가니스탄]], 그리고 [[유고슬라비아]] 계승국들에서 온 경우가 많다. 14%에 해당하는 81만 7438명이 이민자들 및 그 직계 후손에 속하며, 이 중에서도 19만 9668명이 다문화 2세대에 속한다.

=== 덴마크의 인구 통계(2019년, 유엔) ===
총인구: 580만 명

15세 미만 인구: 16.4%

15~24세 인구: 12.5%

25~64세 인구: 51.2%

65세 이상 인구: 20.0%

노인 부양 가능 인구(65세 이상 노인 1명당 25~64세 노동 인구): 2.6명

인구 성장률: 0.4%

조출생률(인구 1000명당): 10.8명

합계출산율: 1.76명

조사망률(인구 1000명당): 9.8명

영아사망률(1살 미만 1000명당): 3명

유아사망률(5세 미만 1000명당): 3명

기대수명: 80.9세

== 출생 및 사망 통계 ==
출처: 덴마크 통계청.<ref>{{웹 인용|url=http://www.statistikbanken.dk/|title=Statistikbanken|website=Statistikbanken.dk|access-date=29 August 2017}}</ref>
{| class="wikitable" style="text-align: right;"
!
! width="50pt" |인구
! width="70pt" |출생아 수
! width="70pt" |사망자 수
! width="70pt" |자연증감
! width="40pt" |조출생률 (1000명당)
! width="40pt" |조사망률 (1000명당)
! width="40pt" |자연증감률 (1000명 당)
! width="40pt" |합계출산율
|-
|1900
| align="right" |2,432,000
| align="right" |72,129
| align="right" |40,891
| align="right" |31,238
| align="right" |29.7
| align="right" |16.8
| align="right" |12.8
| data-darkreader-inline-color="" style="color: blue" align="right" |4.16
|-
|1901
| align="right" |2,463,000
| align="right" |73,219
| align="right" |38,786
| align="right" |34,425
| align="right" |29.7
| align="right" |15.7
| align="right" |14.0
| data-darkreader-inline-color="" style="color: blue" align="right" |4.14
|-
|1902
| align="right" |2,494,000
| align="right" |72,839
| align="right" |36,424
| align="right" |36,391
| align="right" |29.2
| align="right" |14.6
| align="right" |14.6
| data-darkreader-inline-color="" style="color: blue" align="right" |4.05
|-
|1903
| align="right" |2,525,000
| align="right" |72,351
| align="right" |36,956
| align="right" |35,403
| align="right" |28.7
| align="right" |14.6
| align="right" |14.0
| data-darkreader-inline-color="" style="color: blue" align="right" |3.96
|-
|1904
| align="right" |2,546,000
| align="right" |73,692
| align="right" |35,903
| align="right" |37,788
| align="right" |28.9
| align="right" |14.1
| align="right" |14.8
| data-darkreader-inline-color="" style="color: blue" align="right" |3.97
|-
|1905
| align="right" |2,574,000
| align="right" |73,082
| align="right" |38,598
| align="right" |34,484
| align="right" |28.4
| align="right" |15.0
| align="right" |13.4
| data-darkreader-inline-color="" style="color: blue" align="right" |3.87
|-
|1906
| align="right" |2,603,000
| align="right" |74,217
| align="right" |35,231
| align="right" |38,986
| align="right" |28.5
| align="right" |13.5
| align="right" |15.0
| data-darkreader-inline-color="" style="color: blue" align="right" |3.87
|-
|1907
| align="right" |2,635,000
| align="right" |74,324
| align="right" |37,275
| align="right" |37,049
| align="right" |28.2
| align="right" |14.1
| align="right" |14.1
| data-darkreader-inline-color="" style="color: blue" align="right" |3.81
|-
|1908
| align="right" |2,668,000
| align="right" |76,233
| align="right" |39,072
| align="right" |37,161
| align="right" |28.6
| align="right" |14.6
| align="right" |13.9
| data-darkreader-inline-color="" style="color: blue" align="right" |3.83
|-
|1909
| align="right" |2,702,000
| align="right" |76,301
| align="right" |35,837
| align="right" |40,464
| align="right" |28.2
| align="right" |13.3
| align="right" |15.0
| data-darkreader-inline-color="" style="color: blue" align="right" |3.78
|-
|1910
| align="right" |2,737,000
| align="right" |75,299
| align="right" |35,184
| align="right" |40,013
| align="right" |27.5
| align="right" |12.9
| align="right" |14.6
| data-darkreader-inline-color="" style="color: blue" align="right" |3.67
|-
|1911
| align="right" |2,770,000
| align="right" |73,933
| align="right" |37,236
| align="right" |36,697
| align="right" |26.7
| align="right" |13.4
| align="right" |13.2
| data-darkreader-inline-color="" style="color: blue" align="right" |3.60
|-
|1912
| align="right" |2,802,000
| align="right" |74,659
| align="right" |36,486
| align="right" |38,173
| align="right" |26.6
| align="right" |13.0
| align="right" |13.6
| data-darkreader-inline-color="" style="color: blue" align="right" |3.58
|-
|1913
| align="right" |2,833,000
| align="right" |72,475
| align="right" |35,364
| align="right" |37,111
| align="right" |25.6
| align="right" |12.5
| align="right" |13.1
| data-darkreader-inline-color="" style="color: blue" align="right" |3.43
|-
|1914
| align="right" |2,866,000
| align="right" |73,294
| align="right" |35,921
| align="right" |37,373
| align="right" |25.6
| align="right" |12.5
| align="right" |13.0
| data-darkreader-inline-color="" style="color: blue" align="right" |3.42
|-
|1915
| align="right" |2,901,000
| align="right" |70,192
| align="right" |37,174
| align="right" |33,018
| align="right" |24.2
| align="right" |12.8
| align="right" |11.4
| data-darkreader-inline-color="" style="color: blue" align="right" |3.23
|-
|1916
| align="right" |2,936,000
| align="right" |71,559
| align="right" |39,265
| align="right" |32,294
| align="right" |24.4
| align="right" |13.4
| align="right" |11.0
| data-darkreader-inline-color="" style="color: blue" align="right" |3.23
|-
|1917
| align="right" |2,972,000
| align="right" |70,306
| align="right" |39,224
| align="right" |31,082
| align="right" |23.7
| align="right" |13.2
| align="right" |10.5
| data-darkreader-inline-color="" style="color: blue" align="right" |3.11
|-
|1918
| align="right" |3,006,000
| align="right" |72,505
| align="right" |39,038
| align="right" |33,467
| align="right" |24.1
| align="right" |13.0
| align="right" |11.1
| data-darkreader-inline-color="" style="color: blue" align="right" |3.16
|-
|1919
| align="right" |3,041,000
| align="right" |68,722
| align="right" |39,590
| align="right" |29,132
| align="right" |22.6
| align="right" |13.0
| align="right" |9.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.96
|-
|1920
| align="right" |3,079,000
| align="right" |78,230
| align="right" |39,841
| align="right" |38,389
| align="right" |25.4
| align="right" |12.9
| align="right" |12.5
| data-darkreader-inline-color="" style="color: blue" align="right" |3.29
|-
|1921
| align="right" |3,283,000
| align="right" |78,815
| align="right" |36,215
| align="right" |42,600
| align="right" |24.0
| align="right" |11.0
| align="right" |13.0
| data-darkreader-inline-color="" style="color: blue" align="right" |3.11
|-
|1922
| align="right" |3,318,000
| align="right" |73,899
| align="right" |39,452
| align="right" |34,435
| align="right" |22.3
| align="right" |11.9
| align="right" |10.4
| data-darkreader-inline-color="" style="color: blue" align="right" |2.87
|-
|1923
| align="right" |3,352,000
| align="right" |74,827
| align="right" |37,903
| align="right" |36,924
| align="right" |22.3
| align="right" |11.3
| align="right" |11.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.85
|-
|1924
| align="right" |3,389,000
| align="right" |73,836
| align="right" |38,091
| align="right" |35,778
| align="right" |21.8
| align="right" |11.2
| align="right" |10.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.78
|-
|1925
| align="right" |3,425,000
| align="right" |71,897
| align="right" |37,083
| align="right" |34,814
| align="right" |21.0
| align="right" |10.8
| align="right" |10.2
| data-darkreader-inline-color="" style="color: blue" align="right" |2.66
|-
|1926
| align="right" |3,452,000
| align="right" |70,734
| align="right" |38,093
| align="right" |32,641
| align="right" |20.5
| align="right" |11.0
| align="right" |9.5
| data-darkreader-inline-color="" style="color: blue" align="right" |2.58
|-
|1927
| align="right" |3,475,000
| align="right" |68,024
| align="right" |40,190
| align="right" |27,834
| align="right" |19.6
| align="right" |11.6
| align="right" |8.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.44
|-
|1928
| align="right" |3,497,000
| align="right" |68,516
| align="right" |38,484
| align="right" |30,032
| align="right" |19.6
| align="right" |11.0
| align="right" |8.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.43
|-
|1929
| align="right" |3,518,000
| align="right" |65,297
| align="right" |39,486
| align="right" |25,913
| align="right" |18.6
| align="right" |11.2
| align="right" |7.4
| data-darkreader-inline-color="" style="color: blue" align="right" |2.30
|-
|1930
| align="right" |3,542,000
| align="right" |66,303
| align="right" |38,174
| align="right" |28,129
| align="right" |18.7
| align="right" |10.8
| align="right" |7.9
| data-darkreader-inline-color="" style="color: blue" align="right" |2.29
|-
|1931
| align="right" |3,569,000
| align="right" |64,266
| align="right" |40,578
| align="right" |23,688
| align="right" |18.0
| align="right" |11.4
| align="right" |6.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.20
|-
|1932
| align="right" |3,603,000
| align="right" |64,650
| align="right" |39,701
| align="right" |24,949
| align="right" |17.9
| align="right" |11.0
| align="right" |6.9
| data-darkreader-inline-color="" style="color: blue" align="right" |2.17
|-
|1933
| align="right" |3,633,000
| align="right" |62,780
| align="right" |38,287
| align="right" |24,493
| align="right" |17.3
| align="right" |10.5
| align="right" |6.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.10
|-
|1934
| align="right" |3,666,000
| align="right" |65,116
| align="right" |38,050
| align="right" |27,066
| align="right" |17.8
| align="right" |10.4
| align="right" |7.4
| data-darkreader-inline-color="" style="color: blue" align="right" |2.15
|-
|1935
| align="right" |3,695,000
| align="right" |65,223
| align="right" |40,816
| align="right" |24,407
| align="right" |17.7
| align="right" |11.0
| align="right" |6.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.12
|-
|1936
| align="right" |3,722,000
| align="right" |66,418
| align="right" |40,919
| align="right" |25,499
| align="right" |17.8
| align="right" |11.0
| align="right" |6.9
| data-darkreader-inline-color="" style="color: blue" align="right" |2.14
|-
|1937
| align="right" |3,749,000
| align="right" |67,440
| align="right" |40,442
| align="right" |26,998
| align="right" |18.0
| align="right" |10.8
| align="right" |7.2
| data-darkreader-inline-color="" style="color: blue" align="right" |2.16
|-
|1938
| align="right" |3,777,000
| align="right" |68,463
| align="right" |39,058
| align="right" |29,407
| align="right" |18.1
| align="right" |10.3
| align="right" |7.8
| data-darkreader-inline-color="" style="color: blue" align="right" |2.18
|-
|1939
| align="right" |3,805,000
| align="right" |67,914
| align="right" |38,535
| align="right" |29,379
| align="right" |17.8
| align="right" |10.1
| align="right" |7.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.16
|-
|1940
| align="right" |3,832,000
| align="right" |70,121
| align="right" |39,730
| align="right" |30,391
| align="right" |18.3
| align="right" |10.4
| align="right" |7.9
| data-darkreader-inline-color="" style="color: blue" align="right" |2.22
|-
|1941
| align="right" |3,863,000
| align="right" |71,306
| align="right" |39,756
| align="right" |31,550
| align="right" |18.5
| align="right" |10.3
| align="right" |8.2
| data-darkreader-inline-color="" style="color: blue" align="right" |2.24
|-
|1942
| align="right" |3,903,000
| align="right" |79,545
| align="right" |37,527
| align="right" |42,018
| align="right" |20.4
| align="right" |9.6
| align="right" |10.8
| data-darkreader-inline-color="" style="color: blue" align="right" |2.50
|-
|1943
| align="right" |3,949,000
| align="right" |84,319
| align="right" |37,982
| align="right" |46,337
| align="right" |21.4
| align="right" |9.6
| align="right" |11.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.65
|-
|1944
| align="right" |3,998,000
| align="right" |90,641
| align="right" |41,087
| align="right" |49,554
| align="right" |22.7
| align="right" |10.3
| align="right" |12.4
| data-darkreader-inline-color="" style="color: blue" align="right" |2.84
|-
|1945
| align="right" |4,045,000
| align="right" |95,062
| align="right" |42,298
| align="right" |52,764
| align="right" |23.5
| align="right" |10.5
| align="right" |13.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.98
|-
|1946
| align="right" |4,101,000
| align="right" |96,111
| align="right" |42,013
| align="right" |54,098
| align="right" |23.4
| align="right" |10.2
| align="right" |13.2
| data-darkreader-inline-color="" style="color: blue" align="right" |3.02
|-
|1947
| align="right" |4,146,000
| align="right" |91,714
| align="right" |40,043
| align="right" |51,671
| align="right" |22.1
| align="right" |9.7
| align="right" |12.5
| data-darkreader-inline-color="" style="color: blue" align="right" |2.90
|-
|1948
| align="right" |4,190,000
| align="right" |84,938
| align="right" |35,981
| align="right" |48,957
| align="right" |20.3
| align="right" |8.6
| align="right" |11.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.71
|-
|1949
| align="right" |4,230,000
| align="right" |79,919
| align="right" |37,793
| align="right" |42,126
| align="right" |18.9
| align="right" |8.9
| align="right" |10.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.58
|-
|1950
| align="right" |4,271,000
| align="right" |79,558
| align="right" |39,300
| align="right" |40,258
| align="right" |18.6
| align="right" |9.2
| align="right" |9.4
| data-darkreader-inline-color="" style="color: blue" align="right" |2.57
|-
|1951
| align="right" |4,304,000
| align="right" |76,559
| align="right" |37,960
| align="right" |38,599
| align="right" |17.8
| align="right" |8.8
| align="right" |9.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.50
|-
|1952
| align="right" |4,334,000
| align="right" |76,943
| align="right" |39,173
| align="right" |37,770
| align="right" |17.8
| align="right" |9.0
| align="right" |8.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.53
|-
|1953
| align="right" |4,369,000
| align="right" |78,261
| align="right" |39,350
| align="right" |38,911
| align="right" |17.9
| align="right" |9.0
| align="right" |8.9
| data-darkreader-inline-color="" style="color: blue" align="right" |2.60
|-
|1954
| align="right" |4,406,000
| align="right" |76,365
| align="right" |39,885
| align="right" |36,480
| align="right" |17.3
| align="right" |9.1
| align="right" |8.3
| data-darkreader-inline-color="" style="color: blue" align="right" |2.55
|-
|1955
| align="right" |4,439,000
| align="right" |76,845
| align="right" |38,789
| align="right" |38,056
| align="right" |17.3
| align="right" |8.7
| align="right" |8.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.58
|-
|1956
| align="right" |4,466,000
| align="right" |76,725
| align="right" |39,588
| align="right" |37,137
| align="right" |17.2
| align="right" |8.9
| align="right" |8.3
| data-darkreader-inline-color="" style="color: blue" align="right" |2.61
|-
|1957
| align="right" |4,488,000
| align="right" |75,264
| align="right" |41,730
| align="right" |33,534
| align="right" |16.8
| align="right" |9.3
| align="right" |7.5
| data-darkreader-inline-color="" style="color: blue" align="right" |2.57
|-
|1958
| align="right" |4,515,000
| align="right" |74,681
| align="right" |41,560
| align="right" |33,121
| align="right" |16.5
| align="right" |9.2
| align="right" |7.3
| data-darkreader-inline-color="" style="color: blue" align="right" |2.55
|-
|1959
| align="right" |4,547,000
| align="right" |73,928
| align="right" |42,159
| align="right" |31,769
| align="right" |16.3
| align="right" |9.3
| align="right" |7.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.52
|-
|1960
| align="right" |4,581,000
| align="right" |76,077
| align="right" |43,681
| align="right" |32,396
| align="right" |16.6
| align="right" |9.5
| align="right" |7.1
| data-darkreader-inline-color="" style="color: blue" align="right" |2.57
|-
|1961
| align="right" |4,610,000
| align="right" |76,439
| align="right" |43,310
| align="right" |33,129
| align="right" |16.6
| align="right" |9.4
| align="right" |7.2
| data-darkreader-inline-color="" style="color: blue" align="right" |2.55
|-
|1962
| align="right" |4,647,000
| align="right" |77,808
| align="right" |45,334
| align="right" |32,474
| align="right" |16.7
| align="right" |9.8
| align="right" |7.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.58
|-
|1963
| align="right" |4,684,000
| align="right" |82,413
| align="right" |45,773
| align="right" |36,640
| align="right" |17.6
| align="right" |9.8
| align="right" |7.8
| data-darkreader-inline-color="" style="color: blue" align="right" |2.64
|-
|1964
| align="right" |4,720,000
| align="right" |83,356
| align="right" |46,811
| align="right" |36,545
| align="right" |17.7
| align="right" |9.9
| align="right" |7.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.60
|-
|1965
| align="right" |4,758,000
| align="right" |85,796
| align="right" |47,884
| align="right" |37,912
| align="right" |18.0
| align="right" |10.1
| align="right" |8.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.61
|-
|1966
| align="right" |4,795,000
| align="right" |88,332
| align="right" |49,344
| align="right" |38,988
| align="right" |18.4
| align="right" |10.3
| align="right" |8.1
| data-darkreader-inline-color="" style="color: blue" align="right" |2.62
|-
|1967
| align="right" |4,836,000
| align="right" |81,410
| align="right" |47,836
| align="right" |33,574
| align="right" |16.8
| align="right" |9.9
| align="right" |6.9
| data-darkreader-inline-color="" style="color: blue" align="right" |2.35
|-
|1968
| align="right" |4,865,000
| align="right" |74,543
| align="right" |47,290
| align="right" |27,253
| align="right" |15.3
| align="right" |9.7
| align="right" |5.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.12
|-
|1969
| align="right" |4,891,000
| align="right" |71,298
| align="right" |47,943
| align="right" |23,355
| align="right" |14.6
| align="right" |9.8
| align="right" |4.8
| align="right" |2.00
|-
|1970
| align="right" |4,951,000
| align="right" |70,802
| align="right" |48,233
| align="right" |22,569
| align="right" |14.3
| align="right" |9.7
| align="right" |4.6
| align="right" |1.95
|-
|1971
| align="right" |4,963,000
| align="right" |75,359
| align="right" |48,858
| align="right" |26,501
| align="right" |15.2
| align="right" |9.8
| align="right" |5.3
| align="right" |2.04
|-
|1972
| align="right" |4,992,000
| align="right" |75,505
| align="right" |50,445
| align="right" |25,060
| align="right" |15.1
| align="right" |10.1
| align="right" |5.0
| align="right" |2.03
|-
|1973
| align="right" |5,022,000
| align="right" |71,895
| align="right" |50,526
| align="right" |21,369
| align="right" |14.3
| align="right" |10.1
| align="right" |4.3
| align="right" |1.92
|-
|1974
| align="right" |5,045,000
| align="right" |71,327
| align="right" |51,637
| align="right" |19,690
| align="right" |14.1
| align="right" |10.2
| align="right" |3.9
| align="right" |1.90
|-
|1975
| align="right" |5,060,000
| align="right" |72,071
| align="right" |50,895
| align="right" |21,176
| align="right" |14.2
| align="right" |10.1
| align="right" |4.1
| align="right" |1.92
|-
|1976
| align="right" |5,073,000
| align="right" |65,267
| align="right" |54,001
| align="right" |11,266
| align="right" |12.9
| align="right" |10.6
| align="right" |2.2
| align="right" |1.75
|-
|1977
| align="right" |5,088,000
| align="right" |61,878
| align="right" |50,485
| align="right" |11,393
| align="right" |12.2
| align="right" |9.9
| align="right" |2.2
| align="right" |1.66
|-
|1978
| align="right" |5,104,000
| align="right" |62,036
| align="right" |52,864
| align="right" |9,172
| align="right" |12.2
| align="right" |10.4
| align="right" |1.8
| align="right" |1.67
|-
|1979
| align="right" |5,117,000
| align="right" |59,464
| align="right" |54,654
| align="right" |4,810
| align="right" |11.6
| align="right" |10.7
| align="right" |0.9
| align="right" |1.60
|-
|1980
| align="right" |5,123,000
| align="right" |57,293
| align="right" |55,939
| align="right" |1,354
| align="right" |11.2
| align="right" |10.9
| align="right" |0.3
| align="right" |1.55
|-
|1981
| align="right" |5,122,000
| align="right" |53,089
| align="right" |56,359
| data-darkreader-inline-color="" style="color: red" align="right" | -3,270
| align="right" |10.4
| align="right" |11.0
| data-darkreader-inline-color="" style="color: red" align="right" | -0.6
| align="right" |1.44
|-
|1982
| align="right" |5,118,000
| align="right" |52,658
| align="right" |55,368
| data-darkreader-inline-color="" style="color: red" align="right" | -2,710
| align="right" |10.3
| align="right" |10.8
| data-darkreader-inline-color="" style="color: red" align="right" | -0.5
| align="right" |1.43
|-
|1983
| align="right" |5,114,000
| align="right" |50,822
| align="right" |57,156
| data-darkreader-inline-color="" style="color: red" align="right" | -6,334
| align="right" |9.9
| align="right" |11.2
| data-darkreader-inline-color="" style="color: red" align="right" | -1.2
| data-darkreader-inline-color="" style="color: red" align="right" |1.38
|-
|1984
| align="right" |5,112,000
| align="right" |51,800
| align="right" |57,109
| data-darkreader-inline-color="" style="color: red" align="right" | -5,309
| align="right" |10.1
| align="right" |11.2
| data-darkreader-inline-color="" style="color: red" align="right" | -1.0
| align="right" |1.40
|-
|1985
| align="right" |5,114,000
| align="right" |53,749
| align="right" |58,378
| data-darkreader-inline-color="" style="color: red" align="right" | -4,629
| align="right" |10.5
| align="right" |11.4
| data-darkreader-inline-color="" style="color: red" align="right" | -0.9
| align="right" |1.45
|-
|1986
| align="right" |5,121,000
| align="right" |55,312
| align="right" |58,100
| data-darkreader-inline-color="" style="color: red" align="right" | -2,788
| align="right" |10.8
| align="right" |11.3
| data-darkreader-inline-color="" style="color: red" align="right" | -0.5
| align="right" |1.48
|-
|1987
| align="right" |5,127,000
| align="right" |56,221
| align="right" |58,136
| data-darkreader-inline-color="" style="color: red" align="right" | -1,915
| align="right" |11.0
| align="right" |11.3
| data-darkreader-inline-color="" style="color: red" align="right" | -0.4
| align="right" |1.50
|-
|1988
| align="right" |5,130,000
| align="right" |58,844
| align="right" |58,984
| data-darkreader-inline-color="" style="color: red" align="right" | -127
| align="right" |11.5
| align="right" |11.5
| data-darkreader-inline-color="" style="color: red" align="right" | -0.0
| align="right" |1.56
|-
|1989
| align="right" |5,133,000
| align="right" |61,351
| align="right" |59,397
| align="right" |2,047
| align="right" |12.0
| align="right" |11.6
| align="right" |0.4
| align="right" |1.62
|-
|1990
| align="right" |5,140,000
| align="right" |63,433
| align="right" |60,926
| align="right" |2,545
| align="right" |12.3
| align="right" |11.9
| align="right" |0.5
| align="right" |1.67
|-
|1991
| align="right" |5,154,000
| align="right" |64,358
| align="right" |59,581
| align="right" |4,777
| align="right" |12.5
| align="right" |11.6
| align="right" |0.9
| align="right" |1.68
|-
|1992
| align="right" |5,170,000
| align="right" |67,726
| align="right" |60,821
| align="right" |6,905
| align="right" |13.1
| align="right" |11.8
| align="right" |1.3
| align="right" |1.76
|-
|1993
| align="right" |5,189,000
| align="right" |67,369
| align="right" |62,809
| align="right" |4,560
| align="right" |13.0
| align="right" |12.1
| align="right" |0.9
| align="right" |1.75
|-
|1994
| align="right" |5,205,000
| align="right" |69,666
| align="right" |61,099
| align="right" |8,567
| align="right" |13.4
| align="right" |11.7
| align="right" |1.6
| align="right" |1.81
|-
|1995
| align="right" |5,228,000
| align="right" |69,771
| align="right" |63,127
| align="right" |6,644
| align="right" |13.3
| align="right" |12.1
| align="right" |1.3
| align="right" |1.81
|-
|1996
| align="right" |5,262,000
| align="right" |67,638
| align="right" |61,043
| align="right" |6,595
| align="right" |12.9
| align="right" |11.6
| align="right" |1.3
| align="right" |1.75
|-
|1997
| align="right" |5,284,000
| align="right" |67,648
| align="right" |59,898
| align="right" |7,750
| align="right" |12.8
| align="right" |11.3
| align="right" |1.5
| align="right" |1.76
|-
|1998
| align="right" |5,301,000
| align="right" |66,174
| align="right" |58,453
| align="right" |7,721
| align="right" |12.5
| align="right" |11.0
| align="right" |1.5
| align="right" |1.72
|-
|1999
| align="right" |5,322,000
| align="right" |66,220
| align="right" |59,179
| align="right" |7,041
| align="right" |12.4
| align="right" |11.1
| align="right" |1.3
| align="right" |1.74
|-
|2000
| align="right" |5,340,000
| align="right" |67,084
| align="right" |57,998
| align="right" |9,086
| align="right" |12.6
| align="right" |10.9
| align="right" |1.7
| align="right" |1.77
|-
|2001
| align="right" |5,359,000
| align="right" |65,458
| align="right" |58,355
| align="right" |7,103
| align="right" |12.2
| align="right" |10.9
| align="right" |1.3
| align="right" |1.74
|-
|2002
| align="right" |5,375,000
| align="right" |64,075
| align="right" |58,610
| align="right" |5,465
| align="right" |11.9
| align="right" |10.9
| align="right" |1.0
| align="right" |1.72
|-
|2003
| align="right" |5,391,000
| align="right" |64,599
| align="right" |57,574
| align="right" |7,025
| align="right" |12.0
| align="right" |10.7
| align="right" |1.3
| align="right" |1.76
|-
|2004
| align="right" |5,405,000
| align="right" |64,609
| align="right" |55,086
| align="right" |9,523
| align="right" |12.0
| align="right" |10.2
| align="right" |1.8
| align="right" |1.78
|-
|2005
| align="right" |5,419,000
| align="right" |64,282
| align="right" |54,962
| align="right" |9,320
| align="right" |11.9
| align="right" |10.1
| align="right" |1.7
| align="right" |1.80
|-
|2006
| align="right" |5,437,000
| align="right" |64,984
| align="right" |55,477
| align="right" |9,507
| align="right" |12.0
| align="right" |10.2
| align="right" |1.7
| align="right" |1.85
|-
|2007
| align="right" |5,461,000
| align="right" |64,082
| align="right" |55,604
| align="right" |8,478
| align="right" |11.7
| align="right" |10.2
| align="right" |1.6
| align="right" |1.84
|-
|2008
| align="right" |5,494,000
| align="right" |65,038
| align="right" |54,591
| align="right" |10,447
| align="right" |11.8
| align="right" |9.9
| align="right" |1.9
| align="right" |1.89
|-
|2009
| align="right" |5,523,000
| align="right" |62,818
| align="right" |54,872
| align="right" |7,946
| align="right" |11.4
| align="right" |9.9
| align="right" |1.4
| align="right" |1.84
|-
|2010
|5,548,000
|63,411
|54,368
|9,043
|11.4
|9.8
|1.6
|1.87
|-
|2011
|5,571,000
|58,998
|52,516
|6,482
|10.6
|9.4
|1.2
|1.75
|-
|2012
|5,591,000
|57,916
|52,325
|5,591
|10.4
|9.4
|1.0
|1.73
|-
|2013
|5,614,000
|55,844
|52,428
|3,416
|9.9
|9.3
|0.6
|1.67
|-
|2014
|5,659,000
|56,870
|51,340
|5,530
|10.1
|9.1
|1.0
|1.69
|-
|2015
|5,707,000
|58,205
|52,555
|5,650
|10.2
|9.2
|1.0
|1.71
|-
|2016
|5,749,000
|61,614
|52,824
|8,790
|10.7
|9.2
|1.5
|1.78
|-
|2017
|5,781,000
|61,272
|53,261
|8,011
|10.6
|9.2
|1.4
|1.75
|-
|2018
|5,806,000
|61,476
|55,232
|6,244
|10.6
|9.5
|1.1
|1.73
|-
|2019
|5,823,000
|61,167
|53,958
|7,209
|10.5
|9.3
|1.2
|1.70
|-
|2020
|5,840,045
|60,937
|54,645
|6,292
|10.5
|9.4
|1.1
|1.67
|}
참고: 12월 31일 인구를 기준으로 한 것임

=== 1850-1899 합계출산율 ===
출처: [[:en:Our_World_In_Data|Our World In Data]], [[:en:Gapminder_Foundation|Gapminder Foundation]].<ref name="ourworldindata.org">{{인용|url=https://ourworldindata.org/grapher/children-born-per-woman?year=1849&country=DNK|title=Total Fertility Rate around the world over the last centuries|author=Max Roser|date=2014|work=[[Our World In Data]], [[Gapminder Foundation]]|access-date=2019-01-18|archive-url=https://web.archive.org/web/20190119174207/https://ourworldindata.org/grapher/children-born-per-woman?year=1849&country=DNK|archive-date=2019-01-19|url-status=dead}}</ref>
{| class="wikitable" style="text-align:right"
!연도
!1850
!1851
!1852
!1853
!1854
!1855
!1856
!1857
!1858
!1859
!1860<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.24
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.06
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.48
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.27
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.41
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.31
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.37
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.44
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.48
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.53
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.4
|}
{| class="wikitable" style="text-align:right"
!연도
!1861
!1862
!1863
!1864
!1865
!1866
!1867
!1868
!1869
!1870<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.27
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.17
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.17
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.06
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.21
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.32
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.18
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.96
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.1
|}
{| class="wikitable" style="text-align:right"
!연도
!1871
!1872
!1873
!1874
!1875
!1876
!1877
!1878
!1879
!1880<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.06
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.16
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.17
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.31
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.27
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.28
|}
{| class="wikitable" style="text-align:right"
!연도
!1881
!1882
!1883
!1884
!1885
!1886
!1887
!1888
!1889
!1890<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.34
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.29
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.5
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.39
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.37
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.28
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.25
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.21
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.11
|}
{| class="wikitable" style="text-align:right"
!연도
!1891
!1892
!1893
!1894
!1895
!1896
!1897
!1898
!1899<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.18
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.16
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.11
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.02
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.08
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.01
|}

== 기대수명 ==
출처: [[:en:Our_World_In_Data|Our World In Data]], 유엔.

'''1775–1950'''
{| class="wikitable"
!연도
!1775
!1835
!1836
!1837
!1838
!1839
!1840
!1841
!1842
!1843
!1844
!1845
!1846
!1847
!1848
!1849
!1850<ref name=":0">{{웹 인용|url=https://ourworldindata.org/grapher/life-expectancy?year=1810|title=Life expectancy|website=Our World in Data|access-date=2018-08-28}}</ref>
|-
|기대수명
|33.0
|38.4
|40.0
|41.5
|43.1
|41.9
|41.1
|42.6
|42.5
|43.9
|44.0
|43.4
|40.4
|40.4
|40.8
|39.5
|43.5
|}
{| class="wikitable"
!연도
!1851
!1852
!1853
!1854
!1855
!1856
!1857
!1858
!1859
!1860<ref name=":0" />
|-
|기대수명
|44.5
|43.0
|38.5
|44.7
|46.1
|46.7
|42.5
|40.0
|44.4
|45.1
|}
{| class="wikitable"
!연도
!1861
!1862
!1863
!1864
!1865
!1866
!1867
!1868
!1869
!1870<ref name=":0" />
|-
|기대수명
|47.6
|47.6
|47.2
|40.2
|39.8
|42.9
|44.9
|45.6
|46.1
|46.0
|}
{| class="wikitable"
!연도
!1871
!1872
!1873
!1874
!1875
!1876
!1877
!1878
!1879
!1880<ref name=":0" />
|-
|기대수명
|46.1
|47.2
|47.5
|46.0
|44.4
|45.8
|47.3
|47.5
|46.2
|44.8
|}
{| class="wikitable"
!연도
!1881
!1882
!1883
!1884
!1885
!1886
!1887
!1888
!1889
!1890<ref name=":0" />
|-
|기대수명
|48.3
|46.7
|48.5
|48.5
|49.6
|49.0
|48.7
|46.7
|47.8
|47.2
|}
{| class="wikitable"
!연도
!1891
!1892
!1893
!1894
!1895
!1896
!1897
!1898
!1899
!1900<ref name=":0" />
|-
|기대수명
|46.8
|47.4
|47.1
|49.4
|50.8
|52.9
|51.8
|53.1
|50.6
|51.9
|}
{| class="wikitable"
!연도
!1901
!1902
!1903
!1904
!1905
!1906
!1907
!1908
!1909
!1910<ref name=":0" />
|-
|기대수명
|52.6
|54.7
|54.8
|55.7
|54.3
|56.5
|56.1
|54.9
|57.4
|58.0
|}
{| class="wikitable"
!연도
!1911
!1912
!1913
!1914
!1915
!1916
!1917
!1918
!1919
!1920<ref name=":0" />
|-
|기대수명
|57.0
|58.0
|58.9
|58.5
|58.4
|56.9
|57.3
|56.3
|57.0
|57.6
|}
{| class="wikitable"
!연도
!1921
!1922
!1923
!1924
!1925
!1926
!1927
!1928
!1929
!1930<ref name=":0" />
|-
|기대수명
|61.7
|60.6
|61.2
|61.1
|61.9
|61.7
|61.2
|61.9
|61.9
|62.3
|}
{| class="wikitable"
!연도
!1931
!1932
!1933
!1934
!1935
!1936
!1937
!1938
!1939
!1940<ref name=":0" />
|-
|기대수명
|61.8
|62.7
|63.6
|64.1
|62.9
|63.5
|64.0
|65.0
|65.8
|66.3
|}
{| class="wikitable"
!연도
!1941
!1942
!1943
!1944
!1945
!1946
!1947
!1948
!1949
!1950<ref name=":0" />
|-
|기대수명
|66.0
|67.1
|67.4
|66.4
|66.1
|67.2
|68.5
|70.1
|70.1
|70.3
|}
'''1950–2020'''<ref>{{웹 인용|url=https://population.un.org/wpp/Graphs/208|제목=Currently showing: Denmark > Probabilistic Projections > Life Expectancy > Both Sexes|날짜=2019-06|확인날짜=2021-07-11}}</ref>
{| class="wikitable" style="text-align: center;"
!기간
!기대수명
!기간
!기대수명
|-
|1950–1955
|71.1
|1985–1990
|74.8
|-
|1955–1960
|72.1
|1990–1995
|75.2
|-
|1960–1965
|72.4
|1995–2000
|76.1
|-
|1965–1970
|72.9
|2000–2005
|77.3
|-
|1970–1975
|73.6
|2005–2010
|78.6
|-
|1975–1980
|74.2
|2010–2015
|80.2
|-
|1980–1985
|74.4
|2015-2020
|80.7
|}

== 같이 보기 ==
* [[그린란드의 인구]]

== 각주 ==
{{각주}}

[[분류:덴마크의 인구| ]]