{{위키데이터 속성 추적}}
[[파일:Poland-demography.png|섬네일|304x304픽셀|1961-2014 폴란드의 인구]]
[[파일:BirthDeath 1950 PL.svg|섬네일|286x286픽셀|1950-2008 폴란드의 인구 1000명당 [[출생률]]과 [[사망률]] 추이]]
[[파일:1999-2016 폴란드의 출생아 수 및 사망자 수.png|섬네일|289x289픽셀|1999-2016 폴란드의 출생아 수 및 사망자 수. 단위는 천 명]]

== 인구학적 동향 ==
[[유엔]]에 따르면, [[폴란드]]의 인구는 1999년 3856만 명으로 정점을 찍고, 그 이후부터 [[인구감소|인구가 감소]]하기 시작해 2020년 기준 3784만명으로 감소했다. 폴란드의 [[중위 연령]]은 1950년 25.8세에서 2020년 41.7세로 상승했으며, 65세 이상 인구 비율도 같은 기간 5.2%에서 18.7%로 증가했다. 연평균 [[인구 성장률]]은 1950-1955년 1.9%에서 2015-2020년 -0.1%로 감소했고<ref>{{웹 인용|url=https://data.un.org/Data.aspx?q=poland+&d=PopDiv&f=variableID%3a47%3bcrID%3a616|제목=Average annual rate of population change (percentage)|성=United Nations Population Division|날짜=2019-06-17|확인날짜=2021-07-25}}</ref>, [[합계출산율]]도 같은 기간 3.63명에서 1.42명으로 감소했다.<ref>{{웹 인용|url=https://data.un.org/Data.aspx?q=poland+&d=PopDiv&f=variableID%3a54%3bcrID%3a616|제목=Total fertility rate (live births per woman)|성=United Nations Population Division|날짜=2019-06-17|확인날짜=2021-07-25}}</ref> 1990년대에 들어서 출산율이 인구유지가 가능한 대체출산율 2.1명을 밑돌면서 저출산 국가가 되었다.
[[파일:Population_of_Poland.svg|오른쪽|섬네일|300x300픽셀|1900-2010 폴란드의 인구]]
1950년부터는 유엔의 인구 통계에 해당한다.<ref name=":0">{{웹 인용|url=https://data.un.org/Data.aspx?q=poland&d=PopDiv&f=variableID%3a12%3bcrID%3a616|제목=Total population, both sexes combined (thousands)|성=United Nations Population Division|날짜=2019-06-17|확인날짜=2021-07-25}}</ref>
{| class="wikitable"
! colspan="8" |폴란드의 인구<ref name=":0" />
|-
!1921<ref name="autogenerated1" />
!1938
!1946
!1948<ref name="autogenerated2" />
!1950
!1951
!1952
!1953
|-
|2722.4만 명
|↗3484.9만 명
|↘2377.7만 명
|↗2398만 명
|↗2482.4만 명
|↗2528.3만 명
|↗2576.4만 명
|↗2626만 명
|-
!1954
!1955
!1956
!1957
!1958
!1959
!1960
!1961
|-
|↗2676.4만 명
|↗2726.9만 명
|↗2777만 명
|↗2825.9만 명
|↗2873.3만 명
|↗2918.5만 명
|↗2961.4만 명
|↗3001.5만 명
|-
!1994
!1995
!1996
!1997
!1998
!1999
!2000
!2001
|-
|↗3838.9만 명
|↗3825.8만 명
|↗3850.9만 명
|↗3854.4만 명
|↗3856.4만 명
|↗3856.7만 명
|↘3855.6만 명
|↘3852.9만 명
|-
!2002
!2003
!2004
!2005
!2006
!2007
!2008
!2009
|-
|↘3848.8만 명
|↘3844.1만 명
|↘3839.9만 명
|↘3836.8만 명
|↘3835.4만 명
|↘3835.3만 명
|↗3835.6만 명
|↘3835.1만 명
|-
!2010
!2011
!2012
!2013
!2014
!2015
!2016
!2017
|-
|↘3832.9만 명
|↘3828.6만 명
|↘3822.7만 명
|↘3815.8만 명
|↘3809.1만 명
|↘3803.4만 명
|↘3798.8만 명
|↘3795.3만 명
|-
!2018
!2019
!2020
! colspan="5" rowspan="2" |
|-
|↘3792.1만 명
|↘3788.7만 명
|↘3784.6만 명
|}
폴란드의 인구는 2019년 유엔의 중위 추계 기준으로 2050년 3329만 명으로 감소하며, 중위 연령은 51.2세로, 65세 이상 인구 비율은 31.1%로 증가할 것으로 전망된다. 1세 미만 연평균 [[영아 사망률]]은 1950-1955년 신생아 1000명당 79명에서 2015-2020년 3명으로 매우 낮아졌고, 출생시 [[기대수명]]은 같은 기간 61.4세에서 78.5세로 증가했다.<ref>{{웹 인용|url=https://data.un.org/Data.aspx?q=poland+&d=PopDiv&f=variableID%3a68%3bcrID%3a616|제목=Life expectancy at birth for both sexes combined (years)|성=United Nations Population Division|날짜=2019-06-17|확인날짜=2021-07-25}}</ref>

'''2019년 유엔 인구 통계'''
[[파일:2019년 폴란드의 인구 피라미드.png|섬네일|2019년 폴란드의 인구 피라미드]]
총인구: 3790만 명

15세 미만 인구: 15.2%

15~24세 인구: 10.0%

25~64세 인구: 56.7%

65세 이상 인구: 18.1%

노인 부양 가능 인구(65세 이상 노인 1명당 25~64세 노동 인구): 3.1명

인구 성장률: -0.1%

조출생률(인구 1000명당): 9.7명

합계출산율: 1.43명

조사망률(인구 1000명당): 10.2명

영아사망률(1살 미만 1000명당): 3명

유아사망률(5세 미만 1000명당): 4명

출생시 기대수명: 78.7세

== 인구 통계 ==
<ref name="autogenerated1">B.R. Mitchell. European historical statistics, 1750-1975.</ref><ref name="autogenerated2">{{웹 인용|url=http://unstats.un.org/unsd/demographic/products/dyb/dybsets/1948%20DYB.pdf|title=United Nations : Demographic Yearbook 1948|website=Unstats.un.org|access-date=30 August 2017}}</ref><ref name="Archived copy">{{웹 인용|url=http://www.stat.gov.pl/gus/index_ENG_HTML.htm|title=Archived copy|archive-url=https://web.archive.org/web/20080917153015/http://www.stat.gov.pl/gus/index_ENG_HTML.htm|archive-date=2008-09-17|url-status=dead|access-date=2008-08-29}}</ref>

=== 1800-1920 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=1800&country=POL|title=Total Fertility Rate around the world over the last centuries|author=Max Roser|date=2014|work=[[Our World In Data]], [[Gapminder Foundation]]}}</ref>
{| class="wikitable" style="text-align:right"
!연도
!1800
!1801
!1802
!1803
!1804
!1805
!1806
!1807
!1808
!1809
!1810<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.28
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.26
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.25
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.23
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.22
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.19
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.17
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.16
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.14
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.12
|}
{| class="wikitable" style="text-align:right"
!연도
!1811
!1812
!1813
!1814
!1815
!1816
!1817
!1818
!1819
!1820<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.11
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.08
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.06
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.05
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.03
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.03
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.16
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.03
|}
{| class="wikitable" style="text-align:right"
!연도
!1821
!1822
!1823
!1824
!1825
!1826
!1827
!1828
!1829
!1830<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.03
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.76
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.83
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.16
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.22
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.14
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.06
|}
{| class="wikitable" style="text-align:right"
!연도
!1831
!1832
!1833
!1834
!1835
!1836
!1837
!1838
!1839
!1840<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.98
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.43
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.83
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.57
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.03
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.43
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.57
|}
{| class="wikitable" style="text-align:right"
!연도
!1841
!1842
!1843
!1844
!1845
!1846
!1847
!1848
!1849
!1850<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.16
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.43
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.03
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.82
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.63
|}
{| class="wikitable" style="text-align:right"
!연도
!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;" |5.63
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.63
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.82
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.76
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.57
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.57
|}
{| 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;" |6.43
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.97
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.57
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.83
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.46
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.63
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.63
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |6.16
|}
{| 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;" |5.76
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.76
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.76
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.23
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.23
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.23
|}
{| 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;" |5.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.23
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.23
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.76
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.63
|}
{| class="wikitable" style="text-align:right"
!연도
!1891
!1892
!1893
!1894
!1895
!1896
!1897
!1898
!1899
!1900<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.63
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.63
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.76
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.63
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.49
|}
{| class="wikitable" style="text-align:right"
!연도
!1901
!1902
!1903
!1904
!1905
!1906
!1907
!1908
!1909
!1910<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.36
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.96
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |5.09
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.96
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.96
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.82
|}
{| class="wikitable" style="text-align:right"
!연도
!1911
!1912
!1913
!1914
!1915
!1916
!1917
!1918
!1919
!1920<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.69
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.56
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.69
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.82
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.89
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.62
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.22
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.22
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.42
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.69
|}

=== 1921-1938 출생 및 사망 통계 ===
[[파일:Birth_and_death_rates_in_Poland_between_1921_and_1938.png|대체글=|섬네일|400x400픽셀|1921-1938 [[출생률]]과 [[사망률]] 추이.]]
<ref name="autogenerated1" /><ref name="autogenerated2" /><ref name="Archived copy" />
{| class="wikitable collapsible"
! width="10%" |연도<ref>{{웹 인용|url=http://www.ined.fr/fr/pop_chiffres/pays_developpes/base_pays_developpes/|title=Démographie des pays développés|website=Ined.fr|archive-url=https://web.archive.org/web/20140702194706/http://www.ined.fr/fr/pop_chiffres/pays_developpes/base_pays_developpes/|archive-date=2 July 2014|url-status=dead|access-date=20 June 2015}}</ref>
! width="20pt" |인구
! width="50pt" |출생아 수
! width="50pt" |사망자 수
! width="50pt" |자연 증감
! width="50pt" |조출생률 (1000명당)
! width="50pt" |조사망률 (1000명당)
! width="50pt" |자연 증감률 (1000명당)
! width="50pt" |합계출산율<ref name="ourworldindata.org" />
|-
|1921
|27,224,000
|890,400
|568,300
|322,100
|32.7
|20.9
|11.8
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.40
|-
|1922
|27,846,000
|983,100
|554,600
|482,500
|35.3
|19.9
|15.4
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.73
|-
|1923
|28,480,000
|1,014,700
|493,800
|520,900
|35.6
|17.3
|18.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.82
|-
|1924
|29,007,000
|1,000,100
|519,200
|480,900
|34.5
|17.9
|16.6
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.69
|-
|1925
|29,475,000
|1,036,600
|492,200
|544,400
|35.2
|16.7
|18.5
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.74
|-
|1926
|29,906,000
|989,100
|532,700
|456,400
|33.1
|17.8
|15.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.44
|-
|1927
|30,302,000
|958,733
|525,633
|433,100
|31.6
|17.3
|14.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.23
|-
|1928
|30,693,000
|990,993
|504,207
|486,786
|32.3
|16.4
|15.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.29
|-
|1929
|31,084,000
|994,101
|518,929
|475,172
|32.0
|16.7
|15.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.26
|-
|1930
|31,490,000
|1,022,811
|488,417
|534,394
|32.5
|15.5
|17.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.33
|-
|1931
|31,935,000
|964,573
|493,703
|470,870
|30.2
|15.5
|14.7
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |4.05
|-
|1932
|32,394,000
|934,663
|486,548
|448,115
|28.9
|15.0
|13.8
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.87
|-
|1933
|32,823,000
|868,675
|466,210
|402,465
|26.5
|14.2
|12.3
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.55
|-
|1934
|33,223,000
|881,615
|479,684
|401,931
|26.5
|14.4
|12.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.56
|-
|1935
|33,616,000
|876,667
|470,998
|405,669
|26.1
|14.0
|12.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.50
|-
|1936
|34,020,000
|892,320
|482,633
|409,687
|26.2
|14.2
|12.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.51
|-
|1937
|34,441,000
|856,064
|481,594
|374,470
|24.9
|14.0
|10.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.34
|-
|1938
|34,849,000
|849,873
|479,602
|370,271
|24.4
|13.8
|10.6
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.26
|}
{| class="wikitable sortable" style="text-align:right"
!연도
!1939
!1940
!1941
!1942
!1943
!1944
!1945<ref name="ourworldindata.org" />
|-
| align="left" |합계출산율
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.23
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.21
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.18
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.16
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.13
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.11
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.08
|}

=== 제2차 세계 대전 이후 출생 및 사망 통계 ===
<ref>{{웹 인용|url=http://stat.gov.pl/obszary-tematyczne/ludnosc/ludnosc/struktura-ludnosci-do-2013-r-,16,1.html|title=Archived copy|archive-url=https://web.archive.org/web/20140616053300/http://stat.gov.pl/obszary-tematyczne/ludnosc/ludnosc/struktura-ludnosci-do-2013-r-,16,1.html|archive-date=2014-06-16|url-status=dead|access-date=2014-06-09}}</ref><ref>{{웹 인용|url=http://www.stat.gov.pl/gus/5840_rocznik_demograficzny_PLK_HTML.htm|title=Archived copy|archive-url=https://web.archive.org/web/20111227122824/http://www.stat.gov.pl/gus/5840_rocznik_demograficzny_PLK_HTML.htm|archive-date=2011-12-27|url-status=dead|access-date=2012-01-03}}</ref><ref>{{웹 인용|url=http://stat.gov.pl/download/gfx/portalinformacyjny/pl/defaultaktualnosci/5470/1/1/7/poz_ex1950-2012.xls|title=Archived copy|archive-url=https://web.archive.org/web/20140525232341/http://stat.gov.pl/download/gfx/portalinformacyjny/pl/defaultaktualnosci/5470/1/1/7/poz_ex1950-2012.xls|archive-date=2014-05-25|url-status=dead|access-date=2014-05-24}}</ref><ref>{{웹 인용|url=http://stat.gov.pl/obszary-tematyczne/inne-opracowania/informacje-o-sytuacji-spoleczno-gospodarczej/informacja-o-sytuacji-spoleczno-gospodarczej-kraju-w-2016-r-,1,56.html|title=Informacja o sytuacji społeczno-gospodarczej kraju w 2016 r.|website=Stat.gov.pl|access-date=31 August 2017}}</ref><ref>[http://stat.gov.pl/obszary-tematyczne/inne-opracowania/informacje-o-sytuacji-spoleczno-gospodarczej/informacja-o-sytuacji-spoleczno-gospodarczej-kraju-w-2017-r-,1,68.html Główny Urząd Statystyczny / Obszary tematyczne / Inne opracowania / Informacje o sytuacji społeczno-gospodarczej / Informacja o sytuacji społeczno-gospodarczej kraju w 2017 r<!-- Bot generated title -->]</ref><ref>[http://stat.gov.pl/en/topics/other-studies/informations-on-socio-economic-situation/statistical-bulletin-no-22018,4,85.html Statistics Poland / Topics / Other studies / Informations on socio-economic situation / Statistical Bulletin No 2/2020<!-- Bot generated title -->]</ref><ref name="ourworldindata.org" /><ref>[http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&language=en&pcode=tps00199&plugin=1 Eurostat - Tables, Graphs and Maps Interface (TGM) table<!-- Bot generated title -->]</ref><ref name="cia.gov">{{인용|url=https://www.cia.gov/the-world-factbook/countries/poland/|title=World Factbook EUROPE : POLAND|work=[[The World Factbook]]|date=July 12, 2018}}</ref>
{| class="wikitable collapsible"
!
! width="80pt" |인구
! width="80pt" |출생아 수
! width="80pt" |사망자 수
! width="80pt" |자연 증감
! width="80pt" |조출생률 (1000명당)
! width="80pt" |조사망률 (1000명당)
! width="80pt" |자연 증감률 (1000명당)
! width="80pt" |합계출산율
! width="70pt" |기대수명 (남성)
! width="70pt" |기대수명 (여성)
! width="70pt" |혼외 출산 비율
! width="80pt" |이민 (입국)
! width="80pt" |이주 (출국)
! width="80pt" |순이동
|-
|1946
| align="right" |23,777,000
| align="right" |570,000
| align="right" |335,000
| align="right" |235,000
| align="right" |24.0
| align="right" |14.1
| align="right" |9.9
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.06
|
|
|
|-
|1947
| align="right" |23,970,000
| align="right" |630,000
| align="right" |271,000
| align="right" |359,000
| align="right" |26.3
| align="right" |11.3
| align="right" |15.0
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.51
|
|
|
|-
|1948
| align="right" |23,980,000
| align="right" |704,772
| align="right" |268,000
| align="right" |436,772
| align="right" |29.4
| align="right" |11.2
| align="right" |18.2
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.93
|
|
|
|-
|1949
| align="right" |24,410,000
| align="right" |725,061
| align="right" |284,000
| align="right" |441,061
| align="right" |29.7
| align="right" |11.6
| align="right" |18.1
| data-darkreader-inline-color="" style="text-align:right; color:blue;" |3.94
|
|
|
|-
|1950
| align="right" |24,824,000
| align="right" |763,108
| align="right" |288,685
| align="right" |474,423
| align="right" |30.7
| align="right" |11.6
| align="right" |19.1
| data-darkreader-inline-color="" style="color: blue" align="right" |3.71
| align="right" |56.07
| align="right" |61.68
|
|-
|1951
| align="right" |25,271,000
| align="right" |783,597
| align="right" |312,314
| align="right" |471,283
| align="right" |31.0
| align="right" |12.4
| align="right" |18.6
| data-darkreader-inline-color="" style="color: blue" align="right" |3.75
| align="right" |55.11
| align="right" |60.67
|
|-
|1952
| align="right" |25,753,000
| align="right" |778,962
| align="right" |286,730
| align="right" |492,232
| align="right" |30.2
| align="right" |11.1
| align="right" |19.1
| data-darkreader-inline-color="" style="color: blue" align="right" |3.67
| align="right" |57.59
| align="right" |63.07
|
|-
|1953
| align="right" |26,255,000
| align="right" |779,000
| align="right" |266,527
| align="right" |512,473
| align="right" |29.7
| align="right" |10.2
| align="right" |19.5
| data-darkreader-inline-color="" style="color: blue" align="right" |3.61
| align="right" |59.58
| align="right" |65.05
|
|-
|1954
| align="right" |26,761,000
| align="right" |778,054
| align="right" |276,406
| align="right" |501,648
| align="right" |29.1
| align="right" |10.3
| align="right" |18.7
| data-darkreader-inline-color="" style="color: blue" align="right" |3.58
| align="right" |59.80
| align="right" |65.06
|
|-
|1955
| align="right" |27,281,000
| align="right" |793,847
| align="right" |261,576
| align="right" |532,271
| align="right" |29.1
| align="right" |9.6
| align="right" |19.5
| data-darkreader-inline-color="" style="color: blue" align="right" |3.61
| align="right" |60.82
| align="right" |66.19
|
|-
|1956
| align="right" |27,815,000
| align="right" |779,835
| align="right" |249,606
| align="right" |530,229
| align="right" |28.0
| align="right" |9.0
| align="right" |19.1
| data-darkreader-inline-color="" style="color: blue" align="right" |3.61
| align="right" |62.29
| align="right" |67.52
|
|-
|1957
| align="right" |28,310,000
| align="right" |782,319
| align="right" |269,137
| align="right" |513,182
| align="right" |27.6
| align="right" |9.5
| align="right" |18.1
| data-darkreader-inline-color="" style="color: blue" align="right" |3.49
| align="right" |61.20
| align="right" |66.70
|
|-
|1958
| align="right" |28,770,000
| align="right" |752,600
| align="right" |241,435
| align="right" |511,165
| align="right" |26.2
| align="right" |8.4
| align="right" |17.8
| data-darkreader-inline-color="" style="color: blue" align="right" |3.36
| align="right" |63.08
| align="right" |68.57
|
|-
|1959
| align="right" |29,240,000
| align="right" |722,928
| align="right" |252,430
| align="right" |470,498
| align="right" |24.7
| align="right" |8.6
| align="right" |16.1
| data-darkreader-inline-color="" style="color: blue" align="right" |3.22
| align="right" |62.71
| align="right" |68.30
|
|-
|1960
| align="right" |29,561,000
| align="right" |669,485
| align="right" |224,167
| align="right" |445,318
| align="right" |22.6
| align="right" |7.6
| align="right" |15.1
| data-darkreader-inline-color="" style="color: blue" align="right" |2.98
| align="right" |64.94
| align="right" |70.60
|
|-
|1961
| align="right" |29,965,000
| align="right" |627,624
| align="right" |227,759
| align="right" |399,865
| align="right" |20.9
| align="right" |7.6
| align="right" |13.3
| data-darkreader-inline-color="" style="color: blue" align="right" |2.83
| align="right" |64.91
| align="right" |70.78
|
|-
|1962
| align="right" |30,324,000
| align="right" |599,505
| align="right" |239,199
| align="right" |360,306
| align="right" |19.8
| align="right" |7.9
| align="right" |11.9
| data-darkreader-inline-color="" style="color: blue" align="right" |2.72
| align="right" |64.53
| align="right" |70.49
|
|-
|1963
| align="right" |30,691,000
| align="right" |588,235
| align="right" |230,072
| align="right" |358,163
| align="right" |19.2
| align="right" |7.5
| align="right" |11.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.70
| align="right" |65.41
| align="right" |71.52
|
|-
|1964
| align="right" |31,161,000
| align="right" |562,855
| align="right" |235,919
| align="right" |326,936
| align="right" |18.1
| align="right" |7.6
| align="right" |10.5
| data-darkreader-inline-color="" style="color: blue" align="right" |2.57
| align="right" |65.78
| align="right" |71.60
|
|-
|1965
| align="right" |31,496,000
| align="right" |546,362
| align="right" |232,421
| align="right" |313,941
| align="right" |17.3
| align="right" |7.4
| align="right" |10.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.52
| align="right" |66.58
| align="right" |72.40
|
|-
|1966
| align="right" |31,698,000
| align="right" |530,307
| align="right" |232,945
| align="right" |297,362
| align="right" |16.7
| align="right" |7.3
| align="right" |9.4
| data-darkreader-inline-color="" style="color: blue" align="right" |2.33
| align="right" |66.87
| align="right" |72.85
|
|-
|1967
| align="right" |31,944,000
| align="right" |520,383
| align="right" |247,705
| align="right" |272,678
| align="right" |16.3
| align="right" |7.8
| align="right" |8.5
| data-darkreader-inline-color="" style="color: blue" align="right" |2.30
| align="right" |66.44
| align="right" |72.61
|
|-
|1968
| align="right" |32,426,000
| align="right" |524,174
| align="right" |244,115
| align="right" |280,059
| align="right" |16.2
| align="right" |7.5
| align="right" |8.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.24
| align="right" |67.04
| align="right" |73.55
|
|-
|1969
| align="right" |32,555,000
| align="right" |531,135
| align="right" |262,823
| align="right" |268,312
| align="right" |16.3
| align="right" |8.1
| align="right" |8.2
| data-darkreader-inline-color="" style="color: blue" align="right" |2.20
| align="right" |66.50
| align="right" |73.09
|
|-
|1970
| align="right" |32,526,000
| align="right" |545,973
| align="right" |266,799
| align="right" |279,174
| align="right" |16.8
| align="right" |8.2
| align="right" |8.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.22
| align="right" |66.62
| align="right" |73.33
| align="right" |5.0
|-
|1971
| align="right" |32,805,000
| align="right" |562,341
| align="right" |283,702
| align="right" |278,639
| align="right" |17.1
| align="right" |8.6
| align="right" |8.5
| data-darkreader-inline-color="" style="color: blue" align="right" |2.25
| align="right" |66.13
| align="right" |73.25
|
|-
|1972
| align="right" |33,068,000
| align="right" |575,725
| align="right" |265,250
| align="right" |310,475
| align="right" |17.4
| align="right" |8.0
| align="right" |9.4
| data-darkreader-inline-color="" style="color: blue" align="right" |2.24
| align="right" |67.32
| align="right" |74.17
|
|-
|1973
| align="right" |33,363,000
| align="right" |598,559
| align="right" |277,188
| align="right" |321,371
| align="right" |17.9
| align="right" |8.3
| align="right" |9.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.24
| align="right" |67.15
| align="right" |74.30
|
|-
|1974
| align="right" |33,691,000
| align="right" |621,080
| align="right" |277,085
| align="right" |343,995
| align="right" |18.4
| align="right" |8.2
| align="right" |10.2
| data-darkreader-inline-color="" style="color: blue" align="right" |2.26
| align="right" |67.80
| align="right" |74.64
|
|-
|1975
| align="right" |34,022,000
| align="right" |643,772
| align="right" |296,896
| align="right" |346,876
| align="right" |18.9
| align="right" |8.7
| align="right" |10.2
| data-darkreader-inline-color="" style="color: blue" align="right" |2.27
| align="right" |67.02
| align="right" |74.26
| align="right" |4.7
|-
|1976
| align="right" |34,362,000
| align="right" |670,140
| align="right" |304,057
| align="right" |366,083
| align="right" |19.5
| align="right" |8.8
| align="right" |10.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.31
| align="right" |66.92
| align="right" |74.55
|
|-
|1977
| align="right" |34,698,000
| align="right" |662,582
| align="right" |312,956
| align="right" |349,626
| align="right" |19.1
| align="right" |9.0
| align="right" |10.1
| data-darkreader-inline-color="" style="color: blue" align="right" |2.33
| align="right" |66.49
| align="right" |74.50
|
|-
|1978
| align="right" |35,010,000
| align="right" |666,336
| align="right" |325,104
| align="right" |341,232
| align="right" |19.0
| align="right" |9.3
| align="right" |9.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.30
| align="right" |66.36
| align="right" |74.53
|
|-
|1979
| align="right" |35,257,000
| align="right" |688,293
| align="right" |323,048
| align="right" |365,245
| align="right" |19.5
| align="right" |9.2
| align="right" |10.4
| data-darkreader-inline-color="" style="color: blue" align="right" |2.39
| align="right" |66.79
| align="right" |74.91
| align="right" |4.8
|-
|1980
| align="right" |35,578,000
| align="right" |692,798
| align="right" |350,203
| align="right" |342,595
| align="right" |19.5
| align="right" |9.8
| align="right" |9.6
| data-darkreader-inline-color="" style="color: blue" align="right" |2.42
| align="right" |66.01
| align="right" |74.44
|
|-
|1981
| align="right" |35,902,000
| align="right" |678,696
| align="right" |328,923
| align="right" |349,773
| align="right" |18.9
| align="right" |9.2
| align="right" |9.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.34
| align="right" |67.10
| align="right" |75.24
|
|-
|1982
| align="right" |36,227,000
| align="right" |702,351
| align="right" |334,869
| align="right" |367,482
| align="right" |19.4
| align="right" |9.2
| align="right" |10.1
| data-darkreader-inline-color="" style="color: blue" align="right" |2.38
| align="right" |67.24
| align="right" |75.20
|
|-
|1983
| align="right" |36,571,000
| align="right" |720,756
| align="right" |349,388
| align="right" |371,368
| align="right" |19.7
| align="right" |9.6
| align="right" |10.2
| data-darkreader-inline-color="" style="color: blue" align="right" |2.41
| align="right" |67.04
| align="right" |75.16
|
|-
|1984
| align="right" |36,914,000
| align="right" |699,041
| align="right" |364,883
| align="right" |334,158
| align="right" |18.9
| align="right" |9.9
| align="right" |9.1
| data-darkreader-inline-color="" style="color: blue" align="right" |2.36
| align="right" |66.84
| align="right" |74.97
|
|-
|1985
| align="right" |37,203,000
| align="right" |677,576
| align="right" |381,458
| align="right" |296,118
| align="right" |18.2
| align="right" |10.3
| align="right" |8.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.33
| align="right" |66.50
| align="right" |74.81
| align="right" |5.0
|-
|1986
| align="right" |37,456,000
| align="right" |634,748
| align="right" |376,316
| align="right" |258,432
| align="right" |16.9
| align="right" |10.0
| align="right" |6.9
| data-darkreader-inline-color="" style="color: blue" align="right" |2.21
| align="right" |66.76
| align="right" |75.13
|
|-
|1987
| align="right" |37,664,000
| align="right" |605,492
| align="right" |378,365
| align="right" |227,127
| align="right" |16.1
| align="right" |10.0
| align="right" |6.0
| data-darkreader-inline-color="" style="color: blue" align="right" |2.15
| align="right" |66.81
| align="right" |75.20
|
|-
|1988
| align="right" |37,862,000
| align="right" |587,741
| align="right" |370,821
| align="right" |216,920
| align="right" |15.5
| align="right" |9.8
| align="right" |5.7
| data-darkreader-inline-color="" style="color: blue" align="right" |2.12
| align="right" |67.15
| align="right" |75.67
|
|-
|1989
| align="right" |37,963,000
| align="right" |562,530
| align="right" |381,173
| align="right" |181,357
| align="right" |14.8
| align="right" |10.0
| align="right" |4.8
| align="right" |2.08
| align="right" |66.76
| align="right" |75.45
|
|-
|1990
| align="right" |38,119,000
| align="right" |545,817
| align="right" |390,343
| align="right" |155,474
| align="right" |14.3
| align="right" |10.2
| align="right" |4.1
| align="right" |2.04
| align="right" |66.23
| align="right" |75.24
| align="right" |6.2
|-
|1991
| align="right" |38,245,000
| align="right" |547,719
| align="right" |405,716
| align="right" |142,003
| align="right" |14.3
| align="right" |10.6
| align="right" |3.7
| align="right" |2.05
| align="right" |65.88
| align="right" |75.06
| align="right" |6.6
|-
|1992
| align="right" |38,365,000
| align="right" |515,214
| align="right" |394,729
| align="right" |120,485
| align="right" |13.4
| align="right" |10.3
| align="right" |3.1
| align="right" |1.91
| align="right" |66.47
| align="right" |75.48
| align="right" |7.2
|-
|1993
| align="right" |38,459,000
| align="right" |494,310
| align="right" |392,259
| align="right" |102,051
| align="right" |12.9
| align="right" |10.2
| align="right" |2.7
| align="right" |1.86
| align="right" |67.17
| align="right" |75.81
| align="right" |8.2
|-
|1994
| align="right" |38,544,000
| align="right" |481,285
| align="right" |386,398
| align="right" |94,887
| align="right" |12.5
| align="right" |10.0
| align="right" |2.5
| align="right" |1.78
| align="right" |67.50
| align="right" |76.08
| align="right" |9.0
|-
|1995
| align="right" |38,588,000
| align="right" |443,109
| align="right" |386,084
| align="right" |57,025
| align="right" |11.5
| align="right" |10.0
| align="right" |1.5
| align="right" |1.65
| align="right" |67.62
| align="right" |76.39
| align="right" |9.5
|-
|1996
| align="right" |38,618,000
| align="right" |428,203
| align="right" |385,496
| align="right" |42,707
| align="right" |11.1
| align="right" |10.0
| align="right" |1.1
| align="right" |1.58
| align="right" |68.12
| align="right" |76.57
| align="right" |10.2
|-
|1997
| align="right" |38,650,000
| align="right" |412,635
| align="right" |380,201
| align="right" |32,434
| align="right" |10.7
| align="right" |9.8
| align="right" |0.8
| align="right" |1.52
| align="right" |68.45
| align="right" |76.99
| align="right" |11.0
|-
|1998
| align="right" |38,666,000
| align="right" |395,619
| align="right" |375,354
| align="right" |20,265
| align="right" |10.2
| align="right" |9.7
| align="right" |0.5
| align="right" |1.44
| align="right" |68.87
| align="right" |77.34
| align="right" |11.6
|-
|1999
| align="right" |38,654,000
| align="right" |382,002
| align="right" |381,415
| align="right" |587
| align="right" |9.9
| align="right" |9.9
| align="right" |0.0
| align="right" |1.37
| align="right" |68.83
| align="right" |77.49
| align="right" |11.7
|-
|2000
| align="right" |38,649,000
| align="right" |378,348
| align="right" |368,028
| align="right" |10,320
| align="right" |9.8
| align="right" |9.5
| align="right" |0.3
| align="right" |1.35
| align="right" |69.74
| align="right" |78.00
| align="right" |12.1
|-
|2001
| align="right" |38,248,000
| align="right" |368,205
| align="right" |363,220
| align="right" |4,985
| align="right" |9.6
| align="right" |9.5
| align="right" |0.1
| align="right" |1.32
| align="right" |70.21
| align="right" |78.38
| align="right" |13.1
|-
|2002
| align="right" |38,218,531
| align="right" |353,765
| align="right" |359,486
| data-darkreader-inline-color="" style="color: red" align="right" | -5,721
| align="right" |9.3
| align="right" |9.4
| data-darkreader-inline-color="" style="color: red" align="right" | -0.1
| align="right" |1.25
| align="right" |70.40
| align="right" |78.80
| align="right" |14.4
| align="right" |6,587
| align="right" |24,532
| data-darkreader-inline-color="" style="color: red" align="right" | -17,945
|-
|2003
| align="right" |38,190,608
| align="right" |351,072
| align="right" |365,230
| data-darkreader-inline-color="" style="color: red" align="right" | -14,158
| align="right" |9.2
| align="right" |9.6
| data-darkreader-inline-color="" style="color: red" align="right" | -0.4
| data-darkreader-inline-color="" style="color: red" align="right" |1.22
| align="right" |70.50
| align="right" |78.90
| align="right" |15.8
| align="right" |7,048
| align="right" |20,813
| data-darkreader-inline-color="" style="color: red" align="right" | -13,765
|-
|2004
| align="right" |38,173,835
| align="right" |356,131
| align="right" |363,522
| data-darkreader-inline-color="" style="color: red" align="right" | -7,391
| align="right" |9.3
| align="right" |9.5
| data-darkreader-inline-color="" style="color: red" align="right" | -0.2
| align="right" |1.23
| align="right" |70.70
| align="right" |79.20
| align="right" |17.1
| align="right" |9,495
| align="right" |18,877
| data-darkreader-inline-color="" style="color: red" align="right" | -9,382
|-
|2005
| align="right" |38,157,055
| align="right" |364,383
| align="right" |368,285
| data-darkreader-inline-color="" style="color: red" align="right" | -3,902
| align="right" |9.5
| align="right" |9.6
| data-darkreader-inline-color="" style="color: red" align="right" | -0.1
| align="right" |1.24
| align="right" |70.80
| align="right" |79.40
| align="right" |18.5
| align="right" |9,364
| align="right" |22,242
| data-darkreader-inline-color="" style="color: red" align="right" | -12,878
|-
|2006
| align="right" |38,125,479
| align="right" |374,244
| align="right" |369,686
| align="right" |4,558
| align="right" |9.8
| align="right" |9.7
| align="right" |0.1
| align="right" |1.27
| align="right" |70.90
| align="right" |79.60
| align="right" |18.9
| align="right" |10,802
| align="right" |46,936
| data-darkreader-inline-color="" style="color: red" align="right" | -36,134
|-
|2007
| align="right" |38,115,641
| align="right" |387,873
| align="right" |377,226
| align="right" |10,647
| align="right" |10.2
| align="right" |9.9
| align="right" |0.3
| align="right" |1.31
| align="right" |71.00
| align="right" |79.70
| align="right" |19.5
| align="right" |14,995
| align="right" |35,480
| data-darkreader-inline-color="" style="color: red" align="right" | -20,485
|-
|2008
| align="right" |38,135,876
| align="right" |414,499
| align="right" |379,399
| align="right" |35,100
| align="right" |10.9
| align="right" |10.0
| align="right" |0.9
| align="right" |1.39
| align="right" |71.30
| align="right" |80.00
| align="right" |19.9
| align="right" |15,275
| align="right" |30,140
| data-darkreader-inline-color="" style="color: red" align="right" | -14,865
|-
|2009
| align="right" |38,167,329
| align="right" |417,589
| align="right" |384,940
| align="right" |32,649
| align="right" |10.9
| align="right" |10.1
| align="right" |0.9
| align="right" |1.40
| align="right" |71.50
| align="right" |80.10
| align="right" |20.2
| align="right" |17,424
| align="right" |18,620
| data-darkreader-inline-color="" style="color: red" align="right" | -1,196
|-
|2010
| align="right" |38,529,866
| align="right" |413,300
| align="right" |378,478
| align="right" |34,822
| align="right" |10.7
| align="right" |9.8
| align="right" |0.9
| align="right" |1.38
| align="right" |72.10
| align="right" |80.60
| align="right" |20.6
| align="right" |15,246
| align="right" |17,360
| data-darkreader-inline-color="" style="color: red" align="right" | -2,114
|-
|2011
| align="right" |38,538,447
| align="right" |388,416
| align="right" |375,501
| align="right" |12,915
| align="right" |10.1
| align="right" |9.7
| align="right" |0.3
| align="right" |1.30
| align="right" |72.40
| align="right" |80.90
| align="right" |21.2
| align="right" |15,524
| align="right" |19,858
| data-darkreader-inline-color="" style="color: red" align="right" | -4,334
|-
|2012
| align="right" |38,533,299
| align="right" |387,858
| align="right" |384,788
| align="right" |3,070
| align="right" |10.1
| align="right" |10.0
| align="right" |0.1
| align="right" |1.30
| align="right" |72.70
| align="right" |81.00
| align="right" |22.3
| align="right" |14,583
| align="right" |21,200
| data-darkreader-inline-color="" style="color: red" align="right" | -6,617
|-
|2013
| align="right" |38,495,659
| align="right" |369,576
| align="right" |387,312
| data-darkreader-inline-color="" style="color: red" align="right" | -17,736
| align="right" |9.6
| align="right" |10.1
| data-darkreader-inline-color="" style="color: red" align="right" | -0.5
| align="right" |1.26
| align="right" |73.10
| align="right" |81.10
| align="right" |23.4
| align="right" |12,199
| align="right" |32,103
| data-darkreader-inline-color="" style="color: red" align="right" | -19,904
|-
|2014
| align="right" |38,478,602
| align="right" |375,160
| align="right" |376,467
| data-darkreader-inline-color="" style="color: red" align="right" | -1,307
| align="right" |9.7
| align="right" |9.8
| data-darkreader-inline-color="" style="color: red" align="right" | -0.1
| align="right" |1.29
| align="right" |73.80
| align="right" |81.60
| align="right" |24.2
| align="right" |12,330
| align="right" |28,080
| data-darkreader-inline-color="" style="color: red" align="right" | -15,750
|-
|2015
| align="right" |38,437,239
| align="right" |369,308
| align="right" |394,921
| data-darkreader-inline-color="" style="color: red" align="right" | -25,613
| align="right" |9.6
| align="right" |10.3
| data-darkreader-inline-color="" style="color: red" align="right" | -0.7
| align="right" |1.29
| align="right" |73.60
| align="right" |81.60
| align="right" |24.6
| align="right" |12,330
| align="right" |28,080
| data-darkreader-inline-color="" style="color: red" align="right" | -15,750
|-
|2016
| align="right" |38,432,992
| align="right" |382,257
| align="right" |388,009
| data-darkreader-inline-color="" style="color: red" align="right" | -5,752
| align="right" |9.9
| align="right" |10.1
| data-darkreader-inline-color="" style="color: red" align="right" | -0.2
| align="right" |1.36
| align="right" |73.90
| align="right" |81.90
| align="right" |25.0
| align="right" |13,475
| align="right" |11,970
| align="right" |1,505
|-
|2017
| align="right" |38,433,558
| align="right" |401,982
| align="right" |402,852
| data-darkreader-inline-color="" style="color: red" align="right" | -870
| align="right" |10.5
| align="right" |10.5
| data-darkreader-inline-color="" style="color: red" align="right" | -0.0
| align="right" |1.45
| align="right" |74.00
| align="right" |81.80
| align="right" |24.1
| align="right" |13,324
| align="right" |11,888
| align="right" |1,436
|-
|2018
| align="right" |38,411,148
| align="right" |388,178
| align="right" |414,200
| data-darkreader-inline-color="" style="color: red" align="right" | -26,022
| align="right" |10.1
| align="right" |10.8
| data-darkreader-inline-color="" style="color: red" align="right" | -0.7
| align="right" |1.44
| align="right" |73.80
| align="right" |81.70
| align="right" |26.4
| align="right" |15,461
| align="right" |11,849
| align="right" |3,612
|-
|2019
| align="right" |38,382,576
| align="right" |374,954
| align="right" |409,709
| data-darkreader-inline-color="" style="color: red" align="right" | -34,755
| align="right" |9.8
| align="right" |10.7
| data-darkreader-inline-color="" style="color: red" align="right" | -0.9
| align="right" |1.42
| align="right" |74.10
| align="right" |81.80
| align="right" |25.4
| align="right" |16,909
| align="right" |10,726
| align="right" |6,183
|-
|2020
| align="right" |38,265,013
| align="right" |355,309
| align="right" |477,355
| data-darkreader-inline-color="" style="color: red" align="right" | -122,046
| align="right" |9.3
| align="right" |12.5
| data-darkreader-inline-color="" style="color: red" align="right" | -3.2
| align="right" |1.38
| align="right" |
| align="right" |
| align="right" |
| align="right" |13,263
| align="right" |8,780
| align="right" |4,483
|}
{{Hidden begin|title=2015년 6월 30일 성별 및 연령별 인구구조 (추산) :|titlestyle=background:#EEBC35;}}
{| class="wikitable"
|-
! width="80pt"|연령대
! width="80pt"|남성
! width="80pt"|여성
! width="80pt"|종합
! width="80pt"|%
|-
| align="right" | 종합
| align="right" | 18 607 417
| align="right" | 19 847 159
| align="right" | 38 454 576
| align="right" | 100
|-
| align="right" | 0-4
| align="right" | 982 639
| align="right" | 928 662
| align="right" | 1 911 301
| align="right" | 4.97
|-
| align="right" | 5-9
| align="right" | 1 047 830
| align="right" | 996 205
| align="right" | 2 044 035
| align="right" | 5.32
|-
| align="right" | 10-14
| align="right" | 924 671
| align="right" | 877 780
| align="right" | 1 802 451
| align="right" | 4.69
|-
| align="right" | 15-19
| align="right" | 1 028 884
| align="right" | 979 585
| align="right" | 2 008 469
| align="right" | 5.22
|-
| align="right" | 20-24
| align="right" | 1 257 703
| align="right" | 1 209 498
| align="right" | 2 467 201
| align="right" | 6.42
|-
| align="right" | 25-29
| align="right" | 1 464 438
| align="right" | 1 417 040
| align="right" | 2 881 478
| align="right" | 7.49
|-
| align="right" | 30-34
| align="right" | 1 647 147
| align="right" | 1 602 930
| align="right" | 3 250 077
| align="right" | 8.45
|-
| align="right" | 35-39
| align="right" | 1 561 396
| align="right" | 1 522 202
| align="right" | 3 083 598
| align="right" | 8.02
|-
| align="right" | 40-44
| align="right" | 1 354 899
| align="right" | 1 329 476
| align="right" | 2 684 375
| align="right" | 6.98
|-
| align="right" | 45-49
| align="right" | 1 166 358
| align="right" | 1 160 878
| align="right" | 2 327 236
| align="right" | 6.05
|-
| align="right" | 50-54
| align="right" | 1 211 294
| align="right" | 1 238 398
| align="right" | 2 449 692
| align="right" | 6.37
|-
| align="right" | 55-59
| align="right" | 1 386 303
| align="right" | 1 489 816
| align="right" | 2 876 119
| align="right" | 7.48
|-
| align="right" | 60-64
| align="right" | 1 256 035
| align="right" | 1 443 985
| align="right" | 2 700 020
| align="right" | 7.0
|-
| align="right" | 65-69
| align="right" | 917 893
| align="right" | 1 147 725
| align="right" | 2 065 618
| align="right" | 5.37
|-
| align="right" | 70-74
| align="right" | 501 311
| align="right" | 716 224
| align="right" | 1 217 535
| align="right" | 3.17
|-
| align="right" | 75-79
| align="right" | 426 059
| align="right" | 715 629
| align="right" | 1 141 688
| align="right" | 2.97
|-
| align="right" | 80-84
| align="right" | 287 908
| align="right" | 573 415
| align="right" | 861 323
| align="right" | 2.24
|-
| align="right" | 85+
| align="right" | 184 649
| align="right" | 497 711
| align="right" | 682 360
| align="right" | 1.77
|-
|}
{| class="wikitable"
|-
! width="50"|연령대
! width="80pt"|남성
! width="80"|여성
! width="80"|종합
! width="50"|%
|-
| align="right" | 0-14
| align="right" | 2 955 140
| align="right" | 2 802 647
| align="right" | 5 757 787
| align="right" | 14.97
|-
| align="right" | 15-64
| align="right" | 13 334 457
| align="right" | 13 393 808
| align="right" | 26 728 265
| align="right" | 69.51
|-
| align="right" | 65+
| align="right" | 2 317 820
| align="right" | 3 650 704
| align="right" | 5 968 524
| align="right" | 15.52
|-
|}
{{Hidden end}}

== 체류 외국인 현황 ==
{| class="wikitable sortable"
|+인구순 외국 국적 주민<ref>https://migracje.gov.pl/en/statistics/scope/poland/type/statuses/view/tables/year/2021/</ref>
!국적
!인구 (2021)
|-
|{{국기|우크라이나}}
|256,821
|-
|{{국기|벨라루스}}
|30,228
|-
|{{국기그림|EU}}{{국기|독일}}
|20,240
|-
|{{국기|러시아}}
|12,607
|-
|{{국기|베트남}}
|10,551
|-
|{{국기|인도}}
|10,218
|-
|{{국기그림|EU}}{{국기|이탈리아}}
|8,483
|-
|{{국기|조지아}}
|8,345
|-
|{{국기|중국}}
|6,812
|-
|{{국기|영국}}
|6,527
|-
|{{국기그림|EU}}{{국기|스페인}}
|5,873
|-
|{{국기그림|EU}}{{국기|프랑스}}
|5,540
|-
|{{국기그림|EU}}{{국기|불가리아}}
|5,343
|-
|{{국기|튀르키예}}
|4,884
|-
|{{국기그림|EU}}{{국기|루마니아}}
|4,712
|-
|{{국기|몰도바}}
|3,990
|-
|{{국기|아르메니아}}
|3,101
|-
|{{국기|미국}}
|2,600
|-
|{{국기|한국}}
|2,497
|-
|{{국기그림|EU}}{{국기|네덜란드}}
|2,388
|-
|{{국기그림|EU}}{{국기|스웨덴}}
|2,368
|-
|{{국기그림|EU}}{{국기|리투아니아}}
|2,357
|-
|{{국기그림|EU}}{{국기|체코 공화국}}
|2,302
|-
|{{국기|네팔}}
|2,287
|-
|{{국기그림|EU}}{{국기|슬로바키아}}
|2,214
|}

== 각주 ==
{{각주}}

[[분류:폴란드의 인구]]
[[분류:폴란드의 사회]]