핀란드의 인구

1750-2015 핀란드의 인구 핀란드의 인구밀도. 1제곱킬로미터당 기준. 1972-2020 핀란드의 인구 피라미드 변화
# 인구학적 동향
핀란드의 인구는 553만 명이 넘고, 인구밀도는 1제곱킬로미터당 19명으로, 유럽에서 아이슬란드와 노르웨이에 이어 3번째로 인구밀도가 낮은 국가이다. 그러나 지역간 인구분포 격차는 매우 큰데, 주로 남서쪽 작은 해안가 주변에 살고 있으며, 인구의 85%가 도시에서 살고 있으며, 150만 명이 수도권 지역에 속하는 대헬싱키에 살고 있다.access-date=21 January 2017 반면 북극 지역의 라폴란드의 인구밀도는 1제곱킬로미터당 2명에 불과하다. 핀란드는 비교적 단일민족 국가에 가까운 편인데, 핀란드인이 대다수 민족이지만 핀란드계 스웨덴인, 핀란드계 사미인, 핀란드계 로마인과 같은 유명한 소수 민족도 있다. 최근에는 이민을 받은 영향으로 러시아인, 이라크인, 에스토니아인, 소말리아인 등 다른 민족의 인구가 비교적 많아진 편이다. 인구의 7.9%가 외국에서 태어났으며, 5.2%가 외국인이다.url-status= 공식 언어는 핀란드어와 스웨덴어이며, 스웨덴어의 경우 인구의 약 5.2%가 모국어로 사용한다.access-date=2020-02-16 13세기부터 19세기 초까지 핀란드는 스웨덴의 일부에 속해있었다. 핀란드의 중위 연령은 1950년 27.8세에서 2020년 43.1세로 늘어났고, 같은 기간 65세 이상 노인 비율도 6.6%에서 22.6%로 늘어났다. 즉, 현재 초고령사회(65세 이상 인구 20% 이상)에 해당한다. 합계출산율은 1970년대에 들어서면서 인구유지가 가능한 대체출산율 2.1명을 하회하며 저출산 형상이 나타났다.확인날짜=2021-07-25 연평균 1000명당 신생아 사망률은 1950-1955년 40명에서 2015-2020년 2명으로 낮아졌으며확인날짜=2021-07-25, 같은 기간 기대수명은 66.4세에서 81.6세로 증가했다.확인날짜=2021-07-25 출생 성비는 1950년부터 현재까지 여아 100명당 남아 105명으로 줄곧 정상 성비를 유지해왔다.확인날짜=2021-07-25 다음은 유엔의 인구 통계:확인날짜=2021-07-25 {| class="wikitable" ! colspan="8" |연도별 핀란드의 인구 |- !1950 !1970 !1990 !2000 !2005 !2010 !2015 !2020 |- |400.8만 명 |↗461.2만 명 |↗499.6만 명 |↗518.8만 명 |↗525.9만 명 |↗536.6만 명 |↗548.1만 명 |↗554만 명 |} **2019년 유엔 인구 통계** 총인구: 550만 명 15세 미만 인구: 16.0% 15~24세 인구: 11.1% 25~64세 인구: 50.7% 65세 이상 인구: 22.1% 노인 부양 가능 인구(65세 이상 노인 1명당 25~64세 노동 인구): 2.3명 인구 성장률: 0.2% 조출생률(인구 1000명당): 9.1명 합계출산율: 1.48명 조사망률(인구 1000명당): 9.8명 영아사망률(1살 미만 1000명당): 2명 유아사망률(5세 미만 1000명당): 2명 출생시 기대수명: 81.9세
# 인구 통계
access-date=26 October 2018
## 1776-1899 합계출산율
출처: Our World In Data, Gapminder Foundation. {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.42 | data-darkreader-inline-color="" |5.51 | data-darkreader-inline-color="" |5.82 | data-darkreader-inline-color="" |5.91 | data-darkreader-inline-color="" |5.71 | data-darkreader-inline-color="" |5.17 | data-darkreader-inline-color="" |5.74 | data-darkreader-inline-color="" |5.42 | data-darkreader-inline-color="" |5.79 | data-darkreader-inline-color="" |5.39 | data-darkreader-inline-color="" |5.6 | data-darkreader-inline-color="" |5.46 | data-darkreader-inline-color="" |4.86 | data-darkreader-inline-color="" |4.51 | data-darkreader-inline-color="" |4.88 |} 1776-2009 핀란드의 합계출산율 추이. {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |4.66 | data-darkreader-inline-color="" |5.43 | data-darkreader-inline-color="" |5.71 | data-darkreader-inline-color="" |5.41 | data-darkreader-inline-color="" |5.18 | data-darkreader-inline-color="" |5.05 | data-darkreader-inline-color="" |5.2 | data-darkreader-inline-color="" |5.08 | data-darkreader-inline-color="" |5.09 | data-darkreader-inline-color="" |4.92 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.07 | data-darkreader-inline-color="" |5.23 | data-darkreader-inline-color="" |4.78 | data-darkreader-inline-color="" |5.24 | data-darkreader-inline-color="" |5.21 | data-darkreader-inline-color="" |4.84 | data-darkreader-inline-color="" |4.97 | data-darkreader-inline-color="" |4.16 | data-darkreader-inline-color="" |3.69 | data-darkreader-inline-color="" |5.1 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |4.66 | data-darkreader-inline-color="" |4.95 | data-darkreader-inline-color="" |4.6 | data-darkreader-inline-color="" |4.72 | data-darkreader-inline-color="" |4.84 | data-darkreader-inline-color="" |4.82 | data-darkreader-inline-color="" |4.84 | data-darkreader-inline-color="" |4.78 | data-darkreader-inline-color="" |4.51 | data-darkreader-inline-color="" |4.55 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.34 | data-darkreader-inline-color="" |4.59 | data-darkreader-inline-color="" |5.21 | data-darkreader-inline-color="" |4.84 | data-darkreader-inline-color="" |4.83 | data-darkreader-inline-color="" |4.89 | data-darkreader-inline-color="" |4.77 | data-darkreader-inline-color="" |5.12 | data-darkreader-inline-color="" |4.98 | data-darkreader-inline-color="" |4.85 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |4.58 | data-darkreader-inline-color="" |4.47 | data-darkreader-inline-color="" |3.96 | data-darkreader-inline-color="" |4.75 | data-darkreader-inline-color="" |4.57 | data-darkreader-inline-color="" |4.17 | data-darkreader-inline-color="" |4.17 | data-darkreader-inline-color="" |4.32 | data-darkreader-inline-color="" |4.47 | data-darkreader-inline-color="" |4.59 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |4.56 | data-darkreader-inline-color="" |4.96 | data-darkreader-inline-color="" |4.77 | data-darkreader-inline-color="" |4.64 | data-darkreader-inline-color="" |4.76 | data-darkreader-inline-color="" |4.39 | data-darkreader-inline-color="" |4.46 | data-darkreader-inline-color="" |4.84 | data-darkreader-inline-color="" |4.92 | data-darkreader-inline-color="" |4.78 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.17 | data-darkreader-inline-color="" |4.79 | data-darkreader-inline-color="" |4.8 | data-darkreader-inline-color="" |5.02 | data-darkreader-inline-color="" |4.82 | data-darkreader-inline-color="" |4.86 | data-darkreader-inline-color="" |4.48 | data-darkreader-inline-color="" |4.87 | data-darkreader-inline-color="" |4.74 | data-darkreader-inline-color="" |4.84 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.2 | data-darkreader-inline-color="" |5.03 | data-darkreader-inline-color="" |4.85 | data-darkreader-inline-color="" |5.28 | data-darkreader-inline-color="" |4.79 | data-darkreader-inline-color="" |4.46 | data-darkreader-inline-color="" |4.47 | data-darkreader-inline-color="" |3.4 | data-darkreader-inline-color="" |4.52 | data-darkreader-inline-color="" |4.86 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |4.95 | data-darkreader-inline-color="" |4.87 | data-darkreader-inline-color="" |4.97 | data-darkreader-inline-color="" |5.12 | data-darkreader-inline-color="" |4.95 | data-darkreader-inline-color="" |4.97 | data-darkreader-inline-color="" |5.19 | data-darkreader-inline-color="" |4.81 | data-darkreader-inline-color="" |5.14 | data-darkreader-inline-color="" |5.01 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |4.79 | data-darkreader-inline-color="" |4.99 | data-darkreader-inline-color="" |4.96 | data-darkreader-inline-color="" |5.04 | data-darkreader-inline-color="" |4.79 | data-darkreader-inline-color="" |4.98 | data-darkreader-inline-color="" |5.17 | data-darkreader-inline-color="" |5.07 | data-darkreader-inline-color="" |4.89 | data-darkreader-inline-color="" |4.83 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.04 | data-darkreader-inline-color="" |4.65 | data-darkreader-inline-color="" |4.43 | data-darkreader-inline-color="" |4.59 | data-darkreader-inline-color="" |4.87 | data-darkreader-inline-color="" |4.8 | data-darkreader-inline-color="" |4.77 | data-darkreader-inline-color="" |5.07 | data-darkreader-inline-color="" |4.96 |}
## 1900-현재 출생 및 사망 통계
출처: 핀란드 통계청.Statistics FinlandList of Tables in English url=https://web.archive.org/web/20210224085704/http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__kuol/?tablelist=true {| class="wikitable" |인구 ! width="60pt" |출생아 수 ! width="60pt" |사망자 수 ! width="60pt" |자연 증감 ! width="50pt" |조출생률 (1000명당) ! width="50pt" |조사망률 (1000명당) ! width="50pt" |자연 증감률 (1000명당) ! width="50pt" |합계출산율 |- |1900 |2,646,000 |86,339 |57,915 |28,424 |32.6 |21.9 |10.7 | data-darkreader-inline-color="" |4.83 |- |1901 |2,667,000 |88,637 |56,225 |32,412 |33.2 |21.1 |12.2 | data-darkreader-inline-color="" |4.92 |- |1902 |2,686,000 |87,082 |50,999 |36,083 |32.4 |19.0 |13.4 | data-darkreader-inline-color="" |4.79 |- |1903 |2,706,000 |85,120 |49,992 |35,128 |31.5 |18.5 |13.0 | data-darkreader-inline-color="" |4.62 |- |1904 |2,735,000 |90,253 |50,227 |40,026 |33.0 |18.4 |14.7 | data-darkreader-inline-color="" |4.85 |- |1905 |2,762,000 |87,841 |52,773 |35,068 |31.8 |19.1 |12.7 | data-darkreader-inline-color="" |4.67 |- |1906 |2,788,000 |91,401 |50,857 |40,544 |32.8 |18.2 |14.5 | data-darkreader-inline-color="" |4.81 |- |1907 |2,821,000 |92,457 |53,028 |39,429 |32.8 |18.8 |14.0 | data-darkreader-inline-color="" |4.76 |- |1908 |2,861,000 |92,146 |55,305 |36,841 |32.2 |19.3 |12.9 | data-darkreader-inline-color="" |4.65 |- |1909 |2,899,000 |95,005 |50,577 |44,428 |32.8 |17.4 |15.3 | data-darkreader-inline-color="" |4.72 |- |1910 |2,929,000 |92,984 |51,007 |41,977 |31.7 |17.4 |14.3 | data-darkreader-inline-color="" |4.60 |- |1911 |2,962,000 |91,238 |51,648 |39,590 |30.8 |17.4 |13.4 | data-darkreader-inline-color="" |4.46 |- |1912 |2,998,000 |92,275 |51,645 |40,630 |30.8 |17.2 |13.5 | data-darkreader-inline-color="" |4.45 |- |1913 |3,026,000 |87,250 |51,876 |35,374 |28.8 |17.1 |11.7 | data-darkreader-inline-color="" |4.15 |- |1914 |3,053,000 |87,577 |50,690 |36,887 |28.7 |16.6 |12.1 | data-darkreader-inline-color="" |4.13 |- |1915 |3,083,000 |83,306 |52,205 |31,101 |27.0 |16.9 |10.1 | data-darkreader-inline-color="" |3.89 |- |1916 |3,105,000 |79,653 |54,577 |25,076 |25.7 |17.6 |8.1 | data-darkreader-inline-color="" |3.69 |- |1917 |3,124,000 |81,046 |58,863 |22,183 |25.9 |18.8 |7.1 | data-darkreader-inline-color="" |3.71 |- |1918 |3,125,000 |79,494 |95,102 | data-darkreader-inline-color="" | -15,608 |25.4 |30.4 | data-darkreader-inline-color="" | -5.0 | data-darkreader-inline-color="" |3.60 |- |1919 |3,117,000 |63,896 |62,932 |964 |20.5 |20.2 |0.3 | data-darkreader-inline-color="" |2.87 |- |1920 |3,133,000 |84,714 |53,304 |31,410 |27.0 |17.0 |10.0 | data-darkreader-inline-color="" |3.76 |- |1921 |3,170,000 |82,165 |47,361 |34,804 |25.9 |14.9 |11.0 | data-darkreader-inline-color="" |3.58 |- |1922 |3,211,000 |80,140 |49,180 |30,960 |25.0 |15.3 |9.6 | data-darkreader-inline-color="" |3.43 |- |1923 |3,243,000 |81,961 |47,556 |34,405 |25.3 |14.7 |10.6 | data-darkreader-inline-color="" |3.44 |- |1924 |3,272,000 |78,057 |53,442 |24,615 |23.9 |16.3 |7.5 | data-darkreader-inline-color="" |3.22 |- |1925 |3,304,000 |78,260 |47,493 |30,767 |23.7 |14.4 |9.3 | data-darkreader-inline-color="" |3.17 |- |1926 |3,339,000 |76,875 |47,526 |29,349 |23.0 |14.2 |8.8 | data-darkreader-inline-color="" |3.02 |- |1927 |3,368,000 |75,611 |51,727 |23,884 |22.5 |15.4 |7.1 | data-darkreader-inline-color="" |2.92 |- |1928 |3,396,000 |77,523 |48,713 |28,810 |22.8 |14.3 |8.5 | data-darkreader-inline-color="" |2.92 |- |1929 |3,424,000 |76,011 |54,489 |21,522 |22.2 |15.9 |6.3 | data-darkreader-inline-color="" |2.83 |- |1930 |3,449,000 |75,236 |48,240 |26,996 |21.8 |14.0 |7.8 | data-darkreader-inline-color="" |2.75 |- |1931 |3,476,000 |71,866 |48,968 |22,898 |20.7 |14.1 |6.6 | data-darkreader-inline-color="" |2.59 |- |1932 |3,503,000 |69,352 |46,700 |22,652 |19.8 |13.3 |6.5 | data-darkreader-inline-color="" |2.46 |- |1933 |3,526,000 |65,047 |47,960 |17,087 |18.4 |13.6 |4.8 | data-darkreader-inline-color="" |2.27 |- |1934 |3,549,000 |67,713 |46,318 |21,395 |19.1 |13.1 |6.0 | data-darkreader-inline-color="" |2.33 |- |1935 |3,576,000 |69,942 |45,370 |24,572 |19.6 |12.7 |6.9 | data-darkreader-inline-color="" |2.37 |- |1936 |3,601,000 |68,895 |49,124 |19,771 |19.1 |13.6 |5.5 | data-darkreader-inline-color="" |2.31 |- |1937 |3,626,000 |72,319 |46,466 |25,853 |19.9 |12.8 |7.1 | data-darkreader-inline-color="" |2.52 |- |1938 |3,656,000 |76,695 |46,930 |29,765 |21.0 |12.8 |8.1 | data-darkreader-inline-color="" |2.52 |- |1939 |3,686,000 |78,164 |52,614 |25,550 |21.2 |14.3 |6.9 | data-darkreader-inline-color="" |2.56 |- |1940 |3,698,000 |65,849 |71,846 | data-darkreader-inline-color="" | -5,997Soviet-Finnish War |17.8 |19.4 | data-darkreader-inline-color="" | -1.6 | data-darkreader-inline-color="" |2.15 |- |1941 |3,702,000 |89,565 |73,334 |16,231 |24.2 |19.8 |4.4 | data-darkreader-inline-color="" |2.90 |- |1942 |3,708,000 |61,672 |56,141 |5,531 |16.6 |15.1 |1.5 |2.00 |- |1943 |3,721,000 |76,112 |49,634 |26,478 |20.5 |13.3 |7.1 | data-darkreader-inline-color="" |2.46 |- |1944 |3,735,000 |79,446 |70,570 |8,876 |21.3 |18.9 |2.4 | data-darkreader-inline-color="" |2.56 |- |1945 |3,758,000 |95,758 |49,046 |46,712 |25.5 |13.1 |12.4 | data-darkreader-inline-color="" |3.07 |- |1946 |3,806,000 |106,075 |44,748 |61,327 |27.9 |11.8 |16.1 | data-darkreader-inline-color="" |3.41 |- |1947 |3,859,000 |108,168 |46,053 |62,115 |28.0 |11.9 |16.1 | data-darkreader-inline-color="" |3.47 |- |1948 |3,912,000 |107,759 |43,668 |64,091 |27.5 |11.2 |16.4 | data-darkreader-inline-color="" |3.47 |- |1949 |3,963,000 |103,515 |44,501 |59,014 |26.1 |11.2 |14.9 | data-darkreader-inline-color="" |3.33 |- |1950 |4,009,000 |98,065 |40,681 |57,384 |24.5 |10.1 |14.3 | data-darkreader-inline-color="" |3.16 |- |1951 |4,047,000 |93,063 |40,386 |52,677 |23.0 |10.0 |13.0 | data-darkreader-inline-color="" |3.01 |- |1952 |4,090,000 |94,314 |39,024 |55,290 |23.1 |9.5 |13.5 | data-darkreader-inline-color="" |3.06 |- |1953 |4,139,000 |90,866 |39,925 |50,941 |22.0 |9.6 |12.3 | data-darkreader-inline-color="" |2.96 |- |1954 |4,187,000 |89,845 |37,988 |51,857 |21.5 |9.1 |12.4 | data-darkreader-inline-color="" |2.93 |- |1955 |4,235,000 |89,740 |39,573 |50,167 |21.2 |9.3 |11.8 | data-darkreader-inline-color="" |2.93 |- |1956 |4,282,000 |88,896 |38,713 |50,183 |20.8 |9.0 |11.7 | data-darkreader-inline-color="" |2.91 |- |1957 |4,324,000 |86,985 |40,741 |46,244 |20.1 |9.4 |10.7 | data-darkreader-inline-color="" |2.86 |- |1958 |4,360,000 |81,148 |38,833 |42,315 |18.6 |8.9 |9.7 | data-darkreader-inline-color="" |2.68 |- |1959 |4,395,000 |83,253 |38,827 |44,426 |18.9 |8.8 |10.1 | data-darkreader-inline-color="" |2.75 |- |1960 |4,430,000 |82,129 |39,797 |42,332 |18.5 |9.0 |9.6 | data-darkreader-inline-color="" |2.71 |- |1961 |4,461,000 |81,996 |40,616 |41,380 |18.4 |9.1 |9.3 | data-darkreader-inline-color="" |2.65 |- |1962 |4,491,000 |81,454 |42,889 |38,565 |18.1 |9.5 |8.6 | data-darkreader-inline-color="" |2.66 |- |1963 |4,523,000 |82,251 |42,010 |40,241 |18.2 |9.3 |8.9 | data-darkreader-inline-color="" |2.66 |- |1964 |4,549,000 |80,428 |42,512 |37,916 |17.7 |9.3 |8.3 | data-darkreader-inline-color="" |2.58 |- |1965 |4,564,000 |77,885 |44,473 |33,412 |17.1 |9.7 |7.3 | data-darkreader-inline-color="" |2.46 |- |1966 |4,581,000 |77,697 |43,548 |34,149 |17.0 |9.5 |7.5 | data-darkreader-inline-color="" |2.41 |- |1967 |4,606,000 |77,289 |43,790 |33,499 |16.8 |9.5 |7.3 | data-darkreader-inline-color="" |2.32 |- |1968 |4,626,000 |73,654 |45,013 |28,641 |15.9 |9.7 |6.2 | data-darkreader-inline-color="" |2.15 |- |1969 |4,624,000 |67,450 |45,966 |21,484 |14.6 |9.9 |4.6 |1.94 |- |1970 |4,606,000 |64,559 |44,119 |20,440 |14.0 |9.6 |4.4 |1.83 |- |1971 |4,612,000 |61,067 |45,876 |15,191 |13.2 |9.9 |3.3 |1.70 |- |1972 |4,640,000 |58,864 |43,958 |14,906 |12.7 |9.5 |3.2 |1.59 |- |1973 |4,666,000 |56,787 |43,410 |13,377 |12.2 |9.3 |2.9 |1.50 |- |1974 |4,691,000 |62,472 |44,676 |17,796 |13.3 |9.5 |3.8 |1.62 |- |1975 |4,711,000 |65,719 |43,828 |21,891 |14.0 |9.3 |4.6 |1.69 |- |1976 |4,726,000 |66,846 |44,786 |22,060 |14.1 |9.5 |4.7 |1.72 |- |1977 |4,739,000 |65,659 |44,065 |21,594 |13.9 |9.3 |4.6 |1.69 |- |1978 |4,753,000 |63,983 |43,692 |20,291 |13.5 |9.2 |4.3 |1.65 |- |1979 |4,765,000 |63,428 |43,738 |19,690 |13.3 |9.2 |4.1 |1.64 |- |1980 |4,780,000 |63,064 |44,398 |18,666 |13.2 |9.3 |3.9 |1.63 |- |1981 |4,800,000 |63,469 |44,404 |19,065 |13.2 |9.3 |4.0 |1.65 |- |1982 |4,827,000 |66,106 |43,408 |22,698 |13.7 |9.0 |4.7 |1.72 |- |1983 |4,856,000 |66,892 |45,388 |21,504 |13.8 |9.3 |4.4 |1.74 |- |1984 |4,882,000 |65,076 |45,098 |19,978 |13.3 |9.2 |4.1 |1.70 |- |1985 |4,902,000 |62,796 |48,198 |14,598 |12.8 |9.8 |3.0 |1.64 |- |1986 |4,918,000 |60,632 |47,135 |13,497 |12.3 |9.6 |2.7 |1.60 |- |1987 |4,932,000 |59,827 |47,949 |11,878 |12.1 |9.7 |2.4 |1.59 |- |1988 |4,946,000 |63,316 |49,063 |14,253 |12.8 |9.9 |2.9 |1.70 |- |1989 |4,964,000 |63,348 |49,110 |14,238 |12.8 |9.9 |2.9 |1.71 |- |1990 |4,986,000 |65,549 |50,028 |15,521 |13.1 |10.0 |3.1 |1.78 |- |1991 |5,014,000 |65,395 |49,294 |16,101 |13.1 |9.8 |3.3 |1.79 |- |1992 |5,042,000 |66,731 |49,844 |16,887 |13.3 |9.8 |3.4 |1.85 |- |1993 |5,066,000 |64,826 |50,988 |13,838 |12.8 |10.1 |2.7 |1.81 |- |1994 |5,088,000 |65,231 |48,000 |17,231 |12.8 |9.4 |3.4 |1.85 |- |1995 |5,108,000 |63,067 |49,280 |13,787 |12.3 |9.6 |2.7 |1.81 |- |1996 |5,125,000 |60,723 |49,167 |11,556 |11.8 |9.6 |2.3 |1.76 |- |1997 |5,140,000 |59,329 |49,108 |10,221 |11.5 |9.6 |2.0 |1.75 |- |1998 |5,153,000 |57,108 |49,262 |7,846 |11.1 |9.6 |1.5 |1.70 |- |1999 |5,165,000 |57,574 |49,345 |8,229 |11.1 |9.6 |1.6 |1.73 |- |2000 |5,176,000 |56,742 |49,339 |7,403 |11.0 |9.5 |1.4 |1.73 |- |2001 |5,188,000 |56,189 |48,550 |7,639 |10.8 |9.4 |1.5 |1.73 |- |2002 |5,201,000 |55,555 |49,418 |6,137 |10.7 |9.5 |1.2 |1.72 |- |2003 |5,213,000 |56,630 |48,996 |7,634 |10.9 |9.4 |1.5 |1.76 |- |2004 |5,228,000 |57,758 |47,600 |10,158 |11.0 |9.1 |1.9 |1.80 |- |2005 |5,246,000 |57,745 |47,928 |9,817 |11.0 |9.1 |1.9 |1.80 |- |2006 |5,266,000 |58,840 |48,065 |10,775 |11.2 |9.1 |2.0 |1.84 |- |2007 |5,289,000 |58,729 |49,077 |9,652 |11.1 |9.3 |1.8 |1.83 |- |2008 |5,313,000 |59,530 |49,094 |10,436 |11.2 |9.2 |2.0 |1.85 |- |2009 |5,339,000 |60,430 |49,883 |10,547 |11.3 |9.3 |2.0 |1.86 |- |2010 |5,375,000 |60,980 |50,887 |10,193 |11.4 |9.5 |1.9 |1.87 |- |2011 |5,403,000 |59,961 |50,585 |9,376 |11.1 |9.4 |1.7 |1.83 |- |2012 |5,426,000 |59,493 |51,707 |7,786 |10.9 |9.5 |1.4 |1.80 |- |2013 |5,450,000 |58,134 |51,472 |6,662 |10.7 |9.4 |1.3 |1.75 |- |2014 |5,472,000 |57,232 |52,186 |5,046 |10.5 |9.5 |1.0 |1.71 |- |2015 |5,486,000 |55,472 |52,492 |2,980 |10.1 |9.5 |0.6 |1.65 |- |2016 |5,503,000 |52,814 |53,923 | data-darkreader-inline-color="" | -1,109 |9.6 |9.7 | data-darkreader-inline-color="" | -0.1 |1.57 |- |2017 |5,509,000 |50,321 |53,722 | data-darkreader-inline-color="" | -3,401 |9.1 |9.7 | data-darkreader-inline-color="" | -0.6 |1.49 |- |2018 |5,521,000 |47,577 |54,527 | data-darkreader-inline-color="" | -6,950 |8.6 |9.8 | data-darkreader-inline-color="" | -1.2 |1.41 |- |2019 |5,525,292 |45,613 |53,949 | data-darkreader-inline-color="" | -8,336 |8.3 |9.7 | data-darkreader-inline-color="" | -1.4 | data-darkreader-inline-color="" |1.35 |- |2020 |5,536,146 |46,463 |55,488 | data-darkreader-inline-color="" | -9,025 |8.4 |10.0 | data-darkreader-inline-color="" | -1.6 |1.37 |}
## 지역별 합계출산율
폴란드의 출산율은 20세기까지만 하더라도 주변국들에 비해 높은 편이었다. 그러나 2010년대에 들어서면서 다른 북유럽 국가들과 달리 특별한 사정없이 출산율이 급격하게 감소하기 시작했다. 스웨덴은 핀란드와 비슷한 소득과 사회 지향성을 가지고 있지만, 핀란드는 이와 달리 인구의 자연감소(외국인 유입 제외)가 발생하고 있다.magazine=Forbes 2021년 1분기 현재도 인구의 자연감소가 발생하고 있지만, 출생아수는 전년동기와 비교할 때 7% 증가했다.access-date=22 April 2021 {| class="wikitable sortable" !지역 !출산율 (2016)Liitetaulukko 1. Kokonaishedelmällisyysluku maakunnittain 2006–2016 !출산율 (2017) |- |우시마 |1.45 |1.38 |- |남서수오미 |1.45 |1.42 |- |사타쿤타 |1.66 |1.61 |- |칸타해메 |1.59 |1.61 |- |피르칸마 |1.51 |1.42 |- |패이얘트해메 |1.51 |1.49 |- |퀴멘락소 |1.62 |1.45 |- |남카리알라 |1.52 |1.49 |- |남사보 |1.58 |1.52 |- |북사보 |1.54 |1.46 |- |북카리알라 |1.61 |1.44 |- |중앙수오미 |1.60 |1.45 |- |남포흐얀마 |1.91 |1.82 |- |포흐얀마 |1.84 |1.75 |- |중앙포흐얀마 |2.13 |1.96 |- |북포흐얀마 |1.91 |1.83 |- |카이누 |1.79 |1.59 |- |라피 |1.59 |1.52 |- |올란드 제도 |1.79 |1.68 |}
## 1755-현재 기대수명
출처: Our World In Data, 유엔.
### 1755-1950
{| class="wikitable" !연도 !1755 !1765 !1775 !1785 !1795 !1805 !1815 !1825 !1835 !1845 !1855 !1865 !1875 !1878 !1879 !1880access-date=2018-08-28 |- |기대수명 |37.3 |34.9 |39.4 |33.8 |37.1 |31.8 |35.8 |38.4 |34.7 |40.5 |35.1 |32.1 |41.6 |39.2 |44.9 |39.6 |} {| class="wikitable" !연도 !1881 !1882 !1883 !1884 !1885 !1886 !1887 !1888 !1889 !1890 |- |기대수명 |37.6 |40.4 |42.7 |42.8 |41.3 |40.8 |45.5 |45.1 |44.9 |44.6 |} {| class="wikitable" !연도 !1891 !1892 !1893 !1894 !1895 !1896 !1897 !1898 !1899 !1900 |- |기대수명 |42.5 |39.7 |43.3 |45.2 |47.6 |46.5 |48.1 |48.0 |44.3 |41.7 |} {| class="wikitable" !연도 !1901 !1902 !1903 !1904 !1905 !1906 !1907 !1908 !1909 !1910 |- |기대수명 |42.8 |46.2 |46.6 |47.2 |46.0 |47.0 |46.7 |46.1 |48.6 |48.5 |} {| class="wikitable" !연도 !1911 !1912 !1913 !1914 !1915 !1916 !1917 !1918 !1919 !1920 |- |기대수명 |48.7 |49.1 |49.0 |49.7 |49.5 |48.0 |46.5 |32.8 |43.1 |47.5 |} {| class="wikitable" !연도 !1921 !1922 !1923 !1924 !1925 !1926 !1927 !1928 !1929 !1930 |- |기대수명 |52.4 |51.9 |52.5 |50.2 |53.4 |53.8 |51.8 |53.7 |51.3 |54.5 |} {| class="wikitable" !연도 !1931 !1932 !1933 !1934 !1935 !1936 !1937 !1938 !1939 !1940 |- |기대수명 |54.9 |55.8 |55.4 |56.0 |54.4 |56.2 |57.1 |57.2 |54.6 |46.6 |} {| class="wikitable" !연도 !1941 !1942 !1943 !1944 !1945 !1946 !1947 !1948 !1949 !1950 |- |기대수명 |46.5 |54.0 |56.3 |48.0 |57.2 |60.2 |60.5 |62.0 |61.9 |64.2 |}
### 1950-현재
{| class="wikitable" |- |1950–1955 |66.4 |1985–1990 |74.79 |- |1955–1960 |68.19 |1990–1995 |75.84 |- |1960–1965 |69.07 |1995–2000 |77.14 |- |1965–1970 |69.72 |2000–2005 |78.4 |- |1970–1975 |70.94 |2005–2010 |79.54 |- |1975–1980 |72.72 |2010–2015 |80.7 |- |1980–1985 |74.33 |2015-2020 |81.64 |}