크로아티아의 인구

1960-2017 크로아티아의 인구. 단위는 천 명. ([[유엔 세계인구전망 2017)]] 크로아티아의 지역별 인구 밀도. 2020년 크로아티아의 인구 피라미드.
# 인구학적 동향
크로아티아의 인구는 1991년 4,784,265명Croatian Bureau of Statistics Naselja i stanovništvo Republike Hrvatske 1857.-2001. (eng. Settlements and Population of Croatia 1857–2001) (in Croatian) date=May 5, 2012, accessed 7 July 2013에서 2011 4,456,096명Croatian Bureau of Statistics Census of Population, Households and Dwellings 2011, First Results by Settlements (PDF file) url=https://web.archive.org/web/20140819030849/http://www.dzs.hr/Hrv_Eng/publication/2011/SI-1441.pdf, accessed 7 July 2013으로 8% 감소한 것으로 나타났다. 감소의 가장 큰 원인는 저출산, 인구 유출, 크로아티아 전쟁에 있다. 다음은 유엔의 인구 통계:확인날짜=2021-08-08확인날짜=2021-08-08 {| class="wikitable" ! colspan="8" |크로아티아의 인구 |- !1950 !1970 !1989 !2000 !2005 !2010 !2015 !2019 |- |385만 명 |**↗**442.3만 명 |**↗**478만 명 |**↘**442.8만 명 |**↘**437.8만 명 |**↘**432.8만 명 |**↘**423.3만 명 |**↘**413만 명 |} **2019년 유엔 인구 통계** 총인구: 410만 명 15세 미만 인구: 14.6% 15~24세 인구: 10.7% 25~64세 인구: 53.9% 65세 이상 인구: 20.9% 노인 부양 가능 인구(65세 이상 노인 1명당 25~64세 노동 인구): 2.6명 인구 성장률: -0.6% 조출생률(인구 1000명당): 8.7명 합계출산율: 1.42명 조사망률(인구 1000명당): 13.2명 영아사망률(1살 미만 1000명당): 4명 유아사망률(5세 미만 1000명당): 4명 출생시 기대수명: 78.5세
# 출생 및 사망 통계

## 1880-1899 합계출산율
출처: Our World in Data, Gapminder Foundation. {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.75 | data-darkreader-inline-color="" |5.75 | data-darkreader-inline-color="" |5.86 | data-darkreader-inline-color="" |5.96 | data-darkreader-inline-color="" |6.07 | data-darkreader-inline-color="" |6.18 | data-darkreader-inline-color="" |6 | data-darkreader-inline-color="" |5.83 | data-darkreader-inline-color="" |5.65 | data-darkreader-inline-color="" |5.48 | data-darkreader-inline-color="" |5.31 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.42 | data-darkreader-inline-color="" |5.53 | data-darkreader-inline-color="" |5.64 | data-darkreader-inline-color="" |5.76 | data-darkreader-inline-color="" |5.83 | data-darkreader-inline-color="" |5.79 | data-darkreader-inline-color="" |5.7 | data-darkreader-inline-color="" |5.7 | data-darkreader-inline-color="" |5.54 |}
## 1915-1940 합계출산율
{| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5 | data-darkreader-inline-color="" |5.09 | data-darkreader-inline-color="" |5.19 | data-darkreader-inline-color="" |5.28 | data-darkreader-inline-color="" |5.37 | data-darkreader-inline-color="" |5.31 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |5.26 | data-darkreader-inline-color="" |5.2 | data-darkreader-inline-color="" |5.14 | data-darkreader-inline-color="" |5.08 | data-darkreader-inline-color="" |4.98 | data-darkreader-inline-color="" |4.87 | data-darkreader-inline-color="" |4.77 | data-darkreader-inline-color="" |4.67 | data-darkreader-inline-color="" |4.57 | data-darkreader-inline-color="" |4.47 |} {| class="wikitable" |- | align="left" |합계출산율 | data-darkreader-inline-color="" |4.36 | data-darkreader-inline-color="" |4.26 | data-darkreader-inline-color="" |4.16 | data-darkreader-inline-color="" |4.06 | data-darkreader-inline-color="" |3.96 | data-darkreader-inline-color="" |3.85 | data-darkreader-inline-color="" |3.75 | data-darkreader-inline-color="" |3.65 | data-darkreader-inline-color="" |3.55 | data-darkreader-inline-color="" |3.45 |}
## 제1차 세계 대전 이전 출생 및 사망 통계
{| class="wikitable collapsible collapsed" |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 |- |1900 | align="right" |2,375,000 | align="right" |97,000 | align="right" |65,000 | align="right" |32,000 | align="right" |40.7 | align="right" |27.5 | align="right" |13.2 | data-darkreader-inline-color="" |5.45 |- |1901 | align="right" |2,432,000 | align="right" |95,000 | align="right" |67,000 | align="right" |28,000 | align="right" |39.2 | align="right" |27.4 | align="right" |11.8 | data-darkreader-inline-color="" |5.41 |- |1902 | align="right" |2,431,000 | align="right" |101,000 | align="right" |67,000 | align="right" |34,000 | align="right" |41.5 | align="right" |27.6 | align="right" |13.9 | data-darkreader-inline-color="" |5.38 |- |1903 | align="right" |2,462,000 | align="right" |97,000 | align="right" |66,000 | align="right" |31,000 | align="right" |39.3 | align="right" |26.9 | align="right" |12.4 | data-darkreader-inline-color="" |5.34 |- |1904 | align="right" |2,477,000 | align="right" |99,000 | align="right" |65,000 | align="right" |34,000 | align="right" |40.0 | align="right" |26.2 | align="right" |13.8 | data-darkreader-inline-color="" |5.30 |- |1905 | align="right" |2,493,000 | align="right" |100,000 | align="right" |75,000 | align="right" |25,000 | align="right" |40.1 | align="right" |30.1 | align="right" |10.0 | data-darkreader-inline-color="" |5.26 |- |1906 | align="right" |2,515,000 | align="right" |100,000 | align="right" |66,000 | align="right" |34,000 | align="right" |39.7 | align="right" |26.3 | align="right" |13.4 | data-darkreader-inline-color="" |5.22 |- |1907 | align="right" |2,550,000 | align="right" |100,000 | align="right" |65,000 | align="right" |35,000 | align="right" |39.3 | align="right" |25.4 | align="right" |13.9 | data-darkreader-inline-color="" |5.18 |- |1908 | align="right" |2,560,000 | align="right" |100,000 | align="right" |70,000 | align="right" |30,000 | align="right" |39.2 | align="right" |27.2 | align="right" |12.0 | data-darkreader-inline-color="" |5.14 |- |1909 | align="right" |2,588,000 | align="right" |108,000 | align="right" |69,000 | align="right" |39,000 | align="right" |41.7 | align="right" |26.7 | align="right" |15.0 | data-darkreader-inline-color="" |5.10 |- |1910 | align="right" |2,616,000 | align="right" |99,000 | align="right" |65,000 | align="right" |34,000 | align="right" |37.9 | align="right" |24.8 | align="right" |13.1 | data-darkreader-inline-color="" |5.06 |- |1911 | align="right" |2,628,000 | align="right" |95,000 | align="right" |69,000 | align="right" |26,000 | align="right" |36.0 | align="right" |26.4 | align="right" |9.6 | data-darkreader-inline-color="" |5.02 |- |1912 | align="right" |2,654,000 | align="right" |101,000 | align="right" |67,000 | align="right" |34,000 | align="right" |38.1 | align="right" |25.2 | align="right" |12.9 | data-darkreader-inline-color="" |4.98 |- |1913 | align="right" |2,663,000 | align="right" |95,000 | align="right" |68,000 | align="right" |27,000 | align="right" |35.7 | align="right" |25.5 | align="right" |10.2 | data-darkreader-inline-color="" |4.94 |- |1914 | align="right" |2,675,000 | align="right" |98,000 | align="right" |66,000 | align="right" |32,000 | align="right" |36.6 | align="right" |24.7 | align="right" |11.9 | data-darkreader-inline-color="" |4.90 |- | colspan="9" |출처: Brian R. Mitchell, European historical statistics, 1750–1975url-access=registration |}
## 제2차 세계 대전 이후 출생 및 사망 통계
title=Statistical Information 2019title=Eurostat database 출처: 크로아티아 통계청url-status= {| class="wikitable sortable" ! | ! |인구 ! |출생아 수 ! |사망자 수 ! |자연 증감 ! |조출생률 (1000명당) ! |조사망률 (1000명당) ! |자연 증감률 (1000명당) ! |합계출산율 ! |15–49세 가임기 여성 인구 |- |**1950** | |3,850,991 | |**95,174** | |47,292 | data-darkreader-inline-color="" |**47,882** | |**24.7** | |12.3 | data-darkreader-inline-color="" |**12.4** | data-darkreader-inline-color="" |**2.94** | |1,091,313 |- |**1951** | |3,881,986 | |**87,181** | |49,804 | data-darkreader-inline-color="" |**37,377** | |**22.5** | |12.8 | data-darkreader-inline-color="" |**9.6** | data-darkreader-inline-color="" |**2.66** | |1,091,156 |- |**1952** | |3,912,983 | |**91,225** | |43,512 | data-darkreader-inline-color="" |**47,713** | |**23.3** | |11.1 | data-darkreader-inline-color="" |**12.2** | data-darkreader-inline-color="" |**2.77** | |1,090,994 |- |**1953** | |3,945,997 | |**90,200** | |46,662 | data-darkreader-inline-color="" |**43,538** | |**22.9** | |11.8 | data-darkreader-inline-color="" |**11.0** | data-darkreader-inline-color="" |**2.68** | |1,090,834 |- |**1954** | |3,978,125 | |**89,309** | |41,071 | data-darkreader-inline-color="" |**48,238** | |**22.5** | |10.3 | data-darkreader-inline-color="" |**12.1** | data-darkreader-inline-color="" |**2.61** | |1,097,788 |- |**1955** | |4,013,015 | |**88,657** | |42,035 | data-darkreader-inline-color="" |**46,622** | |**22.1** | |10.5 | data-darkreader-inline-color="" |**11.6** | data-darkreader-inline-color="" |**2.56** | |1,104,740 |- |**1956** | |4,039,992 | |**86,171** | |43,772 | data-darkreader-inline-color="" |**42,399** | |**21.3** | |10.8 | data-darkreader-inline-color="" |**10.5** | data-darkreader-inline-color="" |**2.47** | |1,111,693 |- |**1957** | |4,067,005 | |**81,414** | |40,261 | data-darkreader-inline-color="" |**41,153** | |**20.0** | |9.9 | data-darkreader-inline-color="" |**10.1** | data-darkreader-inline-color="" |**2.30** | |1,113,448 |- |**1958** | |4,088,987 | |**77,771** | |37,980 | data-darkreader-inline-color="" |**39,791** | |**19.0** | |9.3 | data-darkreader-inline-color="" |**9.7** | data-darkreader-inline-color="" |**2.19** | |1,115,826 |- |**1959** | |4,114,979 | |**78,233** | |40,688 | data-darkreader-inline-color="" |**37,545** | |**19.0** | |9.9 | data-darkreader-inline-color="" |**9.1** | data-darkreader-inline-color="" |**2.24** | |1,093,146 |- |**1960** | |4,140,181 | |**76,156** | |41,361 | data-darkreader-inline-color="" |**34,795** | |**18.4** | |10.0 | data-darkreader-inline-color="" |**8.4** | data-darkreader-inline-color="" |**2.23** | |1,079,109 |- |**1961** | |4,167,292 | |**74,190** | |37,796 | data-darkreader-inline-color="" |**36,394** | |**17.8** | |9.1 | data-darkreader-inline-color="" |**8.7** | data-darkreader-inline-color="" |**2.23** | |1,065,072 |- |**1962** | |4,196,712 | |**72,267** | |42,134 | data-darkreader-inline-color="" |**30,133** | |**17.2** | |10.0 | data-darkreader-inline-color="" |**7.2** | data-darkreader-inline-color="" |**2.11** | |1,083,743 |- |**1963** | |4,225,675 | |**69,878** | |38,597 | data-darkreader-inline-color="" |**31,281** | |**16.5** | |9.1 | data-darkreader-inline-color="" |**7.4** | |**2.05** | |1,088,767 |- |**1964** | |4,252,876 | |**68,873** | |43,013 | data-darkreader-inline-color="" |**25,860** | |**16.2** | |10.1 | data-darkreader-inline-color="" |**6.1** | |**2.04** | |1,095,023 |- |**1965** | |4,280,923 | |**71,186** | |39,936 | data-darkreader-inline-color="" |**31,250** | |**16.6** | |9.3 | data-darkreader-inline-color="" |**7.3** | data-darkreader-inline-color="" |**2.19** | |1,096,232 |- |**1966** | |4,310,701 | |**71,325** | |37,941 | data-darkreader-inline-color="" |**33,384** | |**16.5** | |8.8 | data-darkreader-inline-color="" |**7.7** | data-darkreader-inline-color="" |**2.20** | |1,113,169 |- |**1967** | |4,338,683 | |**67,103** | |41,381 | data-darkreader-inline-color="" |**25,722** | |**15.5** | |9.5 | data-darkreader-inline-color="" |**5.9** | |**2.06** | |1,138,279 |- |**1968** | |4,365,628 | |**65,431** | |43,720 | data-darkreader-inline-color="" |**21,711** | |**15.0** | |10.0 | data-darkreader-inline-color="" |**5.0** | |**1.99** | |1,141,548 |- |**1969** | |4,391,490 | |**63,635** | |46,844 | data-darkreader-inline-color="" |**16,791** | |**14.5** | |10.7 | data-darkreader-inline-color="" |**3.8** | |**1.91** | |1,170,146 |- |**1970** | |4,412,252 | |**61,103** | |44,148 | data-darkreader-inline-color="" |**16,955** | |**13.8** | |10.0 | data-darkreader-inline-color="" |**3.8** | |**1.81** | |1,173,533 |- |**1971** | |4,431,275 | |**64,890** | |44,878 | data-darkreader-inline-color="" |**20,012** | |**14.6** | |10.1 | data-darkreader-inline-color="" |**4.5** | |**1.97** | |1,174,488 |- |**1972** | |4,450,564 | |**66,035** | |47,881 | data-darkreader-inline-color="" |**18,154** | |**14.8** | |10.8 | data-darkreader-inline-color="" |**4.1** | |**1.96** | |1,176,673 |- |**1973** | |4,470,161 | |**67,389** | |45,680 | data-darkreader-inline-color="" |**21,709** | |**15.1** | |10.2 | data-darkreader-inline-color="" |**4.9** | |**1.97** | |1,170,468 |- |**1974** | |4,490,660 | |**67,251** | |44,950 | data-darkreader-inline-color="" |**22,301** | |**15.0** | |10.0 | data-darkreader-inline-color="" |**5.0** | |**1.93** | |1,164,291 |- |**1975** | |4,512,082 | |**67,016** | |45,640 | data-darkreader-inline-color="" |**21,376** | |**14.9** | |10.1 | data-darkreader-inline-color="" |**4.7** | |**1.90** | |1,177,334 |- |**1976** | |4,535,934 | |**67,054** | |45,074 | data-darkreader-inline-color="" |**21,980** | |**14.8** | |9.9 | data-darkreader-inline-color="" |**4.8** | |**1.88** | |1,177,247 |- |**1977** | |4,559,571 | |**68,035** | |45,156 | data-darkreader-inline-color="" |**22,879** | |**14.9** | |9.9 | data-darkreader-inline-color="" |**5.0** | |**1.90** | |1,165,123 |- |**1978** | |4,581,085 | |**68,704** | |48,715 | data-darkreader-inline-color="" |**19,989** | |**15.0** | |10.6 | data-darkreader-inline-color="" |**4.4** | |**1.92** | |1,170,862 |- |**1979** | |4,594,778 | |**69,229** | |48,426 | data-darkreader-inline-color="" |**20,803** | |**15.1** | |10.5 | data-darkreader-inline-color="" |**4.5** | |**1.95** | |1,166,817 |- |**1980** | |4,599,782 | |**68,220** | |50,100 | data-darkreader-inline-color="" |**18,120** | |**14.8** | |10.9 | data-darkreader-inline-color="" |**3.9** | |**1.92** | |1,162,773 |- |**1981** | |4,611,509 | |**67,455** | |51,420 | data-darkreader-inline-color="" |**16,035** | |**14.6** | |11.2 | data-darkreader-inline-color="" |**3.5** | |**1.93** | |1,152,704 |- |**1982** | |4,634,234 | |**66,737** | |50,770 | data-darkreader-inline-color="" |**15,967** | |**14.4** | |11.0 | data-darkreader-inline-color="" |**3.4** | |**1.90** | |1,130,858 |- |**1983** | |4,658,254 | |**65,599** | |55,147 | data-darkreader-inline-color="" |**10,452** | |**14.1** | |11.8 | data-darkreader-inline-color="" |**2.2** | |**1.88** | |1,139,362 |- |**1984** | |4,680,285 | |**64,888** | |54,169 | data-darkreader-inline-color="" |**10,719** | |**13.9** | |11.6 | data-darkreader-inline-color="" |**2.3** | |**1.87** | |1,131,152 |- |**1985** | |4,701,417 | |**62,665** | |52,067 | data-darkreader-inline-color="" |**10,598** | |**13.3** | |11.1 | data-darkreader-inline-color="" |**2.3** | |**1.82** | |1,117,142 |- |**1986** | |4,721,446 | |**60,226** | |51,740 | data-darkreader-inline-color="" |**8,486** | |**12.8** | |11.0 | data-darkreader-inline-color="" |**1.8** | |**1.76** | |1,161,753 |- |**1987** | |4,739,745 | |**59,209** | |53,080 | data-darkreader-inline-color="" |**6,129** | |**12.5** | |11.2 | data-darkreader-inline-color="" |**1.3** | |**1.74** | |1,102,815 |- |**1988** | |4,755,207 | |**58,525** | |52,686 | data-darkreader-inline-color="" |**5,839** | |**12.3** | |11.1 | data-darkreader-inline-color="" |**1.2** | |**1.74** | |1,125,627 |- |**1989** | |4,767,260 | |**55,651** | |52,569 | data-darkreader-inline-color="" |**3,082** | |**11.7** | |11.0 | data-darkreader-inline-color="" |**0.6** | |**1.67** | |1,169,437 |- |**1990** | |4,777,368 | |**55,409** | |52,192 | data-darkreader-inline-color="" |**3,217** | |**11.6** | |10.9 | data-darkreader-inline-color="" |**0.7** | |**1.68** | |1,134,934 |- |**1991** | |4,733,938 | |**51,829** | |54,832 | data-darkreader-inline-color="" |**-3,003** | |**10.9** | |11.6 | data-darkreader-inline-color="" |**-0.6** | |**1.59** | |1,125,917 |- |**1992** | |4,690,509 | |**46,970** | |51,800 | data-darkreader-inline-color="" |**-4,830** | |**10.0** | |11.0 | data-darkreader-inline-color="" |**-1.0** | |**1.46** | |1,116,900 |- |**1993** | |4,647,079 | |**48,535** | |50,846 | data-darkreader-inline-color="" |**-2,311** | |**10.4** | |10.9 | data-darkreader-inline-color="" |**-0.5** | |**1.52** | |1,107,883 |- |**1994** | |4,603,649 | |**48,584** | |49,482 | data-darkreader-inline-color="" |**-898** | |**10.6** | |10.7 | data-darkreader-inline-color="" |**-0.2** | |**1.54** | |1,098,867 |- |**1995** | |4,560,220 | |**50,182** | |50,536 | data-darkreader-inline-color="" |**-354** | |**11.0** | |11.1 | data-darkreader-inline-color="" |**-0.1** | |**1.62** | |1,089,849 |- |**1996** | |4,516,790 | |**53,811** | |50,636 | data-darkreader-inline-color="" |**3,175** | |**11.9** | |11.2 | data-darkreader-inline-color="" |**0.7** | |**1.76** | |1,080,833 |- |**1997** | |4,473,361 | |**55,501** | |51,964 | data-darkreader-inline-color="" |**3,537** | |**12.4** | |11.6 | data-darkreader-inline-color="" |**0.8** | |**1.84** | |1,071,815 |- |**1998** | |4,429,931 | |**47,068** | |52,311 | data-darkreader-inline-color="" |**-5,243** | |**10.6** | |11.8 | data-darkreader-inline-color="" |**-1.2** | |**1.59** | |1,062,799 |- |**1999** | |4,386,501 | |**45,179** | |51,953 | data-darkreader-inline-color="" |**-6,774** | |**10.3** | |11.8 | data-darkreader-inline-color="" |**-1.5** | |**1.55** | |1,053,782 |- |**2000** | |4,343,072 | |**43,746** | |50,246 | data-darkreader-inline-color="" |**-6,500** | |**10.1** | |11.6 | data-darkreader-inline-color="" |**-1.5** | |**1.52** | |1,044,765 |- |**2001** | |4,299,642 | |**40,993** | |49,552 | data-darkreader-inline-color="" |**-8,559** | |**9.5** | |11.5 | data-darkreader-inline-color="" |**-2.0** | |**1.45** | |1,035,748 |- |**2002** | |4,302,174 | |**40,094** | |50,569 | data-darkreader-inline-color="" |**-10,475** | |**9.3** | |11.8 | data-darkreader-inline-color="" |**-2.4** | |**1.43** | |1,033,822 |- |**2003** | |4,303,399 | |**39,668** | |52,575 | data-darkreader-inline-color="" |**-12,907** | |**9.2** | |12.2 | data-darkreader-inline-color="" |**-3.0** | |**1.41** | |1,029,271 |- |**2004** | |4,304,600 | |**40,307** | |49,756 | data-darkreader-inline-color="" |**-9,449** | |**9.4** | |11.6 | data-darkreader-inline-color="" |**-2.2** | |**1.43** | |1,025,538 |- |**2005** | |4,310,145 | |**42,492** | |51,790 | data-darkreader-inline-color="" |**-9,298** | |**9.9** | |12.0 | data-darkreader-inline-color="" |**-2.2** | |**1.50** | |1,019,358 |- |**2006** | |4,311,159 | |**41,446** | |50,378 | data-darkreader-inline-color="" |**-8,932** | |**9.6** | |11.7 | data-darkreader-inline-color="" |**-2.1** | |**1.47** | |1,012,512 |- |**2007** | |4,310,217 | |**41,910** | |52,367 | data-darkreader-inline-color="" |**-10,457** | |**9.7** | |12.1 | data-darkreader-inline-color="" |**-2.4** | |**1.49** | |1,005,073 |- |**2008** | |4,309,705 | |**43,753** | |52,151 | data-darkreader-inline-color="" |**-8,398** | |**10.2** | |12.1 | data-darkreader-inline-color="" |**-1.9** | |**1.56** | |998,329 |- |**2009** | |4,305,181 | |**44,577** | |52,414 | data-darkreader-inline-color="" |**-7,837** | |**10.4** | |12.2 | data-darkreader-inline-color="" |**-1.8** | |**1.59** | |989,751 |- |**2010** | |4,295,427 | |**43,361** | |52,096 | data-darkreader-inline-color="" |**-8,735** | |**10.1** | |12.1 | data-darkreader-inline-color="" |**-2.0** | |**1.55** | |979,563 |- |**2011** | |4,280,622 | |**41,197** | |51,019 | data-darkreader-inline-color="" |**-9,822** | |**9.6** | |11.9 | data-darkreader-inline-color="" |**-2.3** | |**1.48** | |970,458 |- |**2012** | |4,267,558 | |**41,771** | |51,710 | data-darkreader-inline-color="" |**-9,939** | |**9.8** | |12.1 | data-darkreader-inline-color="" |**-2.3** | |**1.52** | |962,279 |- |**2013** | |4,255,689 | |**39,939** | |50,386 | data-darkreader-inline-color="" |**-10,447** | |**9.4** | |11.8 | data-darkreader-inline-color="" |**-2.5** | |**1.46** | |954,525 |- |**2014** | |4,238,389 | |**39,566** | |50,839 | data-darkreader-inline-color="" |**-11,273** | |**9.3** | |12.0 | data-darkreader-inline-color="" |**-2.7** | |**1.46** | |945,333 |- |**2015** | |4,203,604 | |**37,503** | |54,205 | data-darkreader-inline-color="" |**-16,702** | |**8.9** | |12.9 | data-darkreader-inline-color="" |**-4.0** | data-darkreader-inline-color="" |**1.41** | |930,899 |- |**2016** | |4,174,349 | |**37,537** | |51,542 | data-darkreader-inline-color="" |**-14,005** | |**9.0** | |12.3 | data-darkreader-inline-color="" |**-3.4** | |**1.43** | |915,591 |- |**2017**url-status= | |4,124,531 | |**36,556** | |53,477 | data-darkreader-inline-color="" |**-16,921** | |**8.9** | |13.0 | data-darkreader-inline-color="" |**-4.1** | |**1.42** | |894,034 |- |**2018**url-status= | |4,087,843 | |**36,945** | |52,706 | data-darkreader-inline-color="" |**-15,761** | |**9.0** | |12.9 | data-darkreader-inline-color="" |**-3.9** | |**1.47** | |875,747 |- |**2019** | |4,065,253 | |**36,135** | |51,794 | data-darkreader-inline-color="" |**-15,659** | |**8.9** | |12.7 | data-darkreader-inline-color="" |**-3.9** | |**1.47** | |860,600 |- |- |**2020** | | | |**35,845** | |**57,023** | data-darkreader-inline-color="" |**-21,178** | |**8.9** | |**14.1** | data-darkreader-inline-color="" |**-5.2** | | | | |- ! | ! |인구 ! |출생아 수 ! |사망자 수 ! |자연 증감 ! |조출생률 (1000명당) ! |조사망률 (1000명당) ! |자연 증감률 (1000명당) ! |합계출산율 ! |15-49세 가임기 여성 인구 |- !**1950-2018 전체** ! !4,137,689 !3,326,426 ! data-darkreader-inline-color="" |811,263 !947.5 !761.7 ! data-darkreader-inline-color="" |185.8 ! ! |- !**1950-2018 평균** !4,366,933 !59,967 !48,209 ! data-darkreader-inline-color="" |11,757 !13.7 !11.0 ! data-darkreader-inline-color="" |2.7 !1.89 !1,083,314 |}
# 혼인 통계
{| class="wikitable collapsible collapsed" ! | ! |인구 ! |혼인건수 ! |이혼건수 ! |조혼인율 (1000명당) ! |조이혼율 (1000명당) ! |혼인 1000건당 이혼건수 |- |**1950** | |3,850,991 | |**38,163** | |**3,137** | |9.9 | |0.8 | |**82.2** |- |**1951** | |3,881,986 | |**35,079** | |**2,947** | |9.0 | |0.8 | |**84.0** |- |**1952** | |3,912,983 | |**39,492** | |**3,175** | |10.1 | |0.8 | |**80.4** |- |**1953** | |3,945,997 | |**37,022** | |**3,924** | |9.4 | |1.0 | |**106.0** |- |**1954** | |3,978,125 | |**40,715** | |**3,854** | |10.2 | |1.0 | |**94.7** |- |**1955** | |4,013,015 | |**39,219** | |**4,499** | |9.8 | |1.1 | |**114.7** |- |**1956** | |4,039,992 | |**38,677** | |**4,419** | |9.6 | |1.1 | |**114.3** |- |**1957** | |4,067,005 | |**36,627** | |**4,746** | |9.0 | |1.2 | |**129.6** |- |**1958** | |4,088,987 | |**37,359** | |**5,272** | |9.1 | |1.3 | |**141.1** |- |**1959** | |4,114,979 | |**36,651** | |**5,053** | |8.9 | |1.2 | |**137.9** |- |**1960** | |4,140,181 | |**36,761** | |**4,811** | |8.9 | |1.2 | |**130.9** |- |**1961** | |4,167,292 | |**36,634** | |**5,057** | |8.8 | |1.2 | |**138.0** |- |**1962** | |4,196,712 | |**36,149** | |**4,883** | |8.6 | |1.2 | |**135.1** |- |**1963** | |4,225,675 | |**33,976** | |**5,114** | |8.0 | |1.2 | |**150.5** |- |**1964** | |4,252,876 | |**35,965** | |**5,217** | |8.5 | |1.2 | |**145.1** |- |**1965** | |4,280,923 | |**38,474** | |**5,663** | |9.0 | |1.3 | |**147.2** |- |**1966** | |4,310,701 | |**36,896** | |**5,390** | |8.6 | |1.3 | |**146.1** |- |**1967** | |4,338,683 | |**35,815** | |**4,861** | |8.3 | |1.1 | |**135.7** |- |**1968** | |4,365,628 | |**35,447** | |**4,891** | |8.1 | |1.1 | |**138.0** |- |**1969** | |4,391,490 | |**35,466** | |**5,474** | |8.1 | |1.2 | |**154.3** |- |**1970** | |4,412,252 | |**37,319** | |**5,333** | |8.5 | |1.2 | |**142.9** |- |**1971** | |4,431,275 | |**37,701** | |**5,427** | |8.5 | |1.2 | |**143.9** |- |**1972** | |4,450,564 | |**37,779** | |**5,567** | |8.5 | |1.3 | |**147.4** |- |**1973** | |4,470,161 | |**36,967** | |**5,781** | |8.3 | |1.3 | |**156.4** |- |**1974** | |4,490,660 | |**36,034** | |**6,331** | |8.0 | |1.4 | |**175.7** |- |**1975** | |4,512,082 | |**36,290** | |**5,928** | |8.0 | |1.3 | |**163.4** |- |**1976** | |4,535,934 | |**35,019** | |**6,099** | |7.7 | |1.3 | |**174.2** |- |**1977** | |4,559,571 | |**35,524** | |**5,511** | |7.8 | |1.2 | |**155.1** |- |**1978** | |4,581,085 | |**35,629** | |**5,959** | |7.8 | |1.3 | |**167.3** |- |**1979** | |4,594,778 | |**34,041** | |**5,036** | |7.4 | |1.1 | |**147.9** |- |**1980** | |4,599,782 | |**33,310** | |**5,342** | |7.2 | |1.2 | |**160.4** |- |**1981** | |4,611,509 | |**33,855** | |**5,704** | |7.3 | |1.2 | |**168.5** |- |**1982** | |4,634,234 | |**33,143** | |**5,355** | |7.2 | |1.2 | |**161.6** |- |**1983** | |4,658,254 | |**33,135** | |**5,263** | |7.1 | |1.1 | |**158.8** |- |**1984** | |4,680,285 | |**32,161** | |**5,295** | |6.9 | |1.1 | |**164.6** |- |**1985** | |4,701,417 | |**30,953** | |**5,375** | |6.6 | |1.1 | |**173.7** |- |**1986** | |4,721,446 | |**30,495** | |**5,946** | |6.5 | |1.3 | |**195.0** |- |**1987** | |4,739,745 | |**31,395** | |**5,577** | |6.6 | |1.2 | |**177.6** |- |**1988** | |4,755,207 | |**29,719** | |**5,647** | |6.2 | |1.2 | |**190.0** |- |**1989** | |4,767,260 | |**28,938** | |**5,369** | |6.1 | |1.1 | |**185.5** |- |**1990** | |4,777,368 | |**27,924** | |**5,466** | |5.8 | |1.1 | |**195.7** |- |**1991** | |4,733,938 | |**21,583** | |**4,877** | |4.6 | |1.0 | |**226.0** |- |**1992** | |4,690,509 | |**22,169** | |**3,676** | |4.7 | |0.8 | |**165.8** |- |**1993** | |4,647,079 | |**23,021** | |**4,667** | |5.0 | |1.0 | |**202.7** |- |**1994** | |4,603,649 | |**23,966** | |**4,630** | |5.2 | |1.0 | |**193.2** |- |**1995** | |4,560,220 | |**24,385** | |**4,236** | |5.3 | |0.9 | |**173.7** |- |**1996** | |4,516,790 | |**24,596** | |**3,612** | |5.4 | |0.8 | |**146.9** |- |**1997** | |4,473,361 | |**24,517** | |**3,899** | |5.5 | |0.9 | |**159.0** |- |**1998** | |4,429,931 | |**24,243** | |**3,962** | |5.5 | |0.9 | |**163.4** |- |**1999** | |4,386,501 | |**23,778** | |**3,721** | |5.4 | |0.8 | |**156.5** |- |**2000** | |4,343,072 | |**22,017** | |**4,419** | |5.1 | |1.0 | |**200.7** |- |**2001** | |4,299,642 | |**22,076** | |**4,670** | |5.1 | |1.1 | |**211.5** |- |**2002** | |4,302,174 | |**22,806** | |**4,496** | |5.3 | |1.0 | |**197.1** |- |**2003** | |4,303,399 | |**22,337** | |**4,934** | |5.2 | |1.1 | |**220.9** |- |**2004** | |4,304,600 | |**22,700** | |**4,985** | |5.3 | |1.2 | |**219.6** |- |**2005** | |4,310,145 | |**22,138** | |**4,883** | |5.1 | |1.1 | |**220.6** |- |**2006** | |4,311,159 | |**22,092** | |**4,651** | |5.1 | |1.1 | |**210.5** |- |**2007** | |4,310,217 | |**23,140** | |**4,785** | |5.4 | |1.1 | |**206.8** |- |**2008** | |4,309,705 | |**23,373** | |**5,025** | |5.4 | |1.2 | |**215.0** |- |**2009** | |4,305,181 | |**22,382** | |**5,076** | |5.2 | |1.2 | |**226.8** |- |**2010** | |4,295,427 | |**21,294** | |**5,058** | |5.0 | |1.2 | |**237.5** |- |**2011** | |4,280,622 | |**20,211** | |**5,662** | |4.7 | |1.3 | |**280.1** |- |**2012** | |4,267,558 | |**20,323** | |**5,659** | |4.8 | |1.3 | |**278.5** |- |**2013** | |4,255,689 | |**19,169** | |**5,992** | |4.5 | |1.4 | |**312.6** |- |**2014** | |4,238,389 | |**19,501** | |**6,570** | |4.6 | |1.6 | |**336.9** |- |**2015** | |4,203,604 | |**19,834** | |**6,010** | |4.7 | |1.4 | |**303.0** |- |**2016** | |4,174,349 | |**20,467** | |**7,036** | |4.9 | |1.7 | data-darkreader-inline-color="" |**343.8** |- |**2017** | |4,124,531 | |**20,310** | |**6,265** | |4.9 | |1.5 | |**308.5** |- |**2018** | |**4,087,843** | |**19,921** | |**6,125** | |**4.9** | |**1.5** | |**307.5** |- |**2019** | | | |**19,761** | |**5,936** | | | | | |**300.4** |- ! | ! |평균 인구 ! |혼인건수 ! |이혼건수 ! |조혼인율 (1000명당) ! |조이혼율 (1000명당) ! |혼인 1000건당 이혼건수 |- !**1950-2018 전체** ! !2,066,267 !349,279 ! ! ! |- !**1950-2018 평균** !4,366,933 !29,946 !5,062 !6.9 !1.2 !169.0 |}
# 출생 및 사망, 혼인 통계
{| class="wikitable collapsible collapsed" ! |

기간별 출생 및 사망 통계

! |1950-1959 ! |1960-1969 ! |1970-1979 ! |1980-1989 ! |1990-1999 ! |2000-2009 ! |2010-2018 |- | |**평균 인구** | |3,989,406 | |4,267,016 | |4,503,836 | |4,686,914 | |4,581,935 | |4,309,929 | |4,214,224 |- | |**출생아 수** | |86,534 | |70,004 | |66,671 | |62,918 | |50,307 | |41,899 | |39,375 |- | |**사망자 수** | |43,308 | |41,272 | |46,055 | |52,375 | |51,655 | |51,180 | |51,998 |- | |**자연 증감** | data-darkreader-inline-color="" |43,226 | data-darkreader-inline-color="" |28,732 | data-darkreader-inline-color="" |20,616 | data-darkreader-inline-color="" |10,543 | data-darkreader-inline-color="" | -1,348 | data-darkreader-inline-color="" | -9,281 | data-darkreader-inline-color="" | -12,623 |- | |**조출생률 (1000명당)** | |21.7 | |16.4 | |14.8 | |13.4 | |11.0 | |9.7 | |9.3 |- | |**조사망률 (1000명당)** | |10.9 | |9.7 | |10.2 | |11.2 | |11.3 | |11.9 | |12.3 |- | |**자연 증감률 (1000명당)** | data-darkreader-inline-color="" |10.8 | data-darkreader-inline-color="" |6.7 | data-darkreader-inline-color="" |4.6 | data-darkreader-inline-color="" |2.2 | data-darkreader-inline-color="" | -0.3 | data-darkreader-inline-color="" | -2.2 | data-darkreader-inline-color="" | -3.0 |- | |**합계출산율** | data-darkreader-inline-color="" |2.54 | data-darkreader-inline-color="" |2.10 | |1.94 | |1.83 | |1.61 | |1.48 | data-darkreader-inline-color="" |1.47 |- | |**15–49세 가임기 여성 인구** | |1,100,094 | |1,107,109 | |1,171,684 | |1,139,362 | |1,094,358 | |1,019,417 | |936,492 |- !

기간별 혼인 및 이혼 통계

!1950-1959 !1960-1969 !1970-1979 !1980-1989 !1990-1999 !2000-2009 !2010-2018 |- | |**평균 인구** | |3,989,406 | |4,267,016 | |4,503,836 | |4,686,914 | |4,581,935 | |4,309,929 | |4,214,224 |- | |**혼인건수** | |37,900 | |36,158 | |36,230 | |31,710 | |24,018 | |22,506 | |20,114 |- | |**이혼건수** | |4,103 | |5,136 | |5,697 | |5,487 | |4,275 | |4,792 | |6,042 |- | |**조혼인율 (1000명당)** | |9.5 | |8.5 | |8.0 | |6.8 | |5.2 | |5.2 | |4.8 |- | |**조이혼율 (1000명당)** | |1.0 | |1.2 | |1.3 | |1.2 | |0.9 | |1.1 | |1.4 |- | |**혼인 1000건당 이혼건수** | |108.2 | |142.0 | |157.2 | |173.0 | |178.0 | |212.9 | data-darkreader-inline-color="" |300.4 |}
# 출산율과 출생률

{| class="wikitable collapsible collapsed"

산모 연령별 출생아 수

!1950-2018 평균 !1950 !1951 !1952 !1953 !1954 !1955 !1956 !1957 !1958 !1959 !1960 !1961 !1962 !1963 !1964 !1965 !1966 !1967 !1968 !1969 !1970 !1971 !1972 !1973 !1974 !1975 !1976 !1977 !1978 !1979 !1980 !1981 !1982 !1983 !1984 !1985 !1986 !1987 !1988 !1989 !1990 !1991 !1992 !1993 !1994 !1995 !1996 !1997 !1998 !1999 !2000 !2001 !2002 !2003 !2004 !2005 !2006 !2007 !2008 !2009 !2010 !2011 !2012 !2013 !2014 !2015 !2016 !2017 !2018 !2019 !

산모 연령별 출생아 수

|- !

전체 출생아 수

|**59,967** |**95,174** |**87,181** |**91,225** |**90,200** |**89,309** |**88,657** |**86,171** |**81,414** |**77,771** |**78,233** |**76,156** |**74,190** |**72,267** |**69,878** |**68,873** |**71,186** |**71,325** |**67,103** |**65,431** |**63,635** |**61,103** |**64,890** |**66,035** |**67,389** |**67,251** |**67,016** |**67,054** |**68,035** |**68,704** |**69,229** |**68,220** |**67,455** |**66,737** |**65,599** |**64,888** |**62,665** |**60,226** |**59,209** |**58,525** |**55,651** |**55,409** |**51,829** |**46,970** |**48,535** |**48,584** |**50,182** |**53,811** |**55,501** |**47,068** |**45,179** |**43,746** |**40,993** |**40,094** |**39,668** |**40,307** |**42,492** |**41,446** |**41,910** |**43,753** |**44,577** |**43,361** |**41,197** |**41,771** |**39,939** |**39,566** |**37,503** |**37,537** |**36,556** |**36,945** | !

전체 출생아 수

|- !15세 미만 |**14** |8 |7 |8 |9 |9 |9 |9 |15 |10 |6 |5 |10 |20 |13 |18 |13 |20 |17 |11 |22 |18 |26 |24 |30 |22 |25 |42 |24 |21 |19 |27 |21 |17 |24 |23 |18 |15 |18 |17 |18 |16 |19 |12 |15 |16 |9 |12 |13 |10 |9 |11 |8 |11 |5 |11 |6 |5 |5 |10 |9 |11 |8 |12 |6 |5 |5 |5 |7 |3 | !15세 미만 |- !15-19 |**5,239** |7,364 |6,746 |7,058 |7,331 |7,258 |7,205 |7,271 |6,780 |6,279 |6,714 |6,743 |6,516 |6,399 |5,939 |6,016 |7,585 |9,774 |9,525 |10,035 |9,471 |8,969 |9,944 |10,168 |9,780 |9,673 |9,330 |8,839 |8,278 |8,187 |8,039 |7,464 |6,986 |6,811 |6,394 |6,212 |6,048 |5,609 |5,288 |5,148 |4,650 |4,375 |4,014 |3,373 |3,143 |3,020 |2,837 |2,978 |2,816 |2,458 |2,436 |2,296 |2,246 |2,138 |1,972 |1,889 |1,886 |1,823 |1,772 |1,778 |1,630 |1,488 |1,412 |1,367 |1,270 |1,217 |1,116 |1,081 |990 |875 | !15-19 |- !20-24 |**20,053** |31,319 |28,689 |30,019 |32,678 |32,355 |32,119 |31,214 |29,332 |27,881 |27,541 |26,933 |26,388 |25,992 |25,104 |24,673 |24,867 |23,965 |22,485 |22,585 |23,293 |23,592 |26,474 |26,856 |27,882 |27,463 |27,852 |27,946 |28,884 |28,924 |29,231 |28,665 |28,031 |27,685 |26,907 |26,564 |24,922 |23,906 |23,126 |22,776 |21,543 |20,543 |18,258 |15,507 |14,894 |14,526 |14,419 |14,782 |14,550 |13,045 |12,613 |11,933 |10,788 |10,539 |10,158 |9,989 |9,929 |9,074 |8,887 |8,938 |8,538 |7,537 |6,902 |6,808 |6,073 |5,750 |5,288 |5,128 |4,807 |4,813 | !20-24 |- !25-29 |**18,088** |29,194 |26,742 |27,983 |26,566 |26,303 |26,111 |25,348 |24,133 |23,435 |23,531 |22,811 |22,140 |21,336 |20,743 |20,124 |20,576 |19,884 |18,360 |17,155 |15,898 |14,375 |14,392 |14,844 |15,701 |16,356 |17,412 |18,521 |19,229 |20,016 |20,262 |20,361 |20,614 |20,604 |20,318 |20,304 |19,662 |18,868 |18,853 |18,900 |18,039 |18,161 |17,391 |15,135 |16,476 |16,178 |16,370 |16,954 |17,282 |15,795 |15,183 |14,772 |14,206 |13,997 |13,843 |14,034 |14,965 |14,748 |14,731 |15,283 |15,561 |15,087 |13,934 |13,679 |12,875 |12,376 |11,473 |10,946 |10,347 |10,318 | !25-29 |- !30-34 |**10,512** |11,268 |10,322 |10,800 |15,675 |15,521 |15,407 |14,688 |13,801 |12,939 |12,848 |12,345 |12,051 |11,732 |11,531 |11,551 |11,718 |11,157 |10,629 |9,830 |9,408 |8,806 |8,628 |8,606 |8,386 |8,005 |7,153 |6,841 |7,169 |7,371 |8,000 |8,291 |8,610 |8,475 |8,754 |8,659 |8,716 |8,462 |8,587 |8,362 |8,089 |8,660 |8,595 |8,036 |9,077 |9,212 |9,716 |10,852 |11,763 |10,584 |10,046 |9,792 |9,108 |8,951 |9,318 |9,740 |10,672 |10,806 |11,152 |11,972 |12,664 |13,003 |12,678 |13,196 |12,938 |13,087 |12,497 |12,779 |12,482 |12,787 | !30-34 |- !35-39 |**4,488** |10,744 |9,842 |10,298 |4,859 |4,811 |4,776 |5,343 |5,626 |5,899 |6,316 |5,927 |5,609 |5,311 |5,084 |4,950 |4,967 |5,009 |4,612 |4,464 |4,306 |3,998 |3,960 |3,923 |3,725 |3,576 |3,452 |3,344 |3,127 |2,951 |2,665 |2,379 |2,234 |2,215 |2,359 |2,416 |2,626 |2,694 |2,703 |2,679 |2,646 |2,919 |2,800 |2,982 |3,187 |3,326 |3,648 |4,361 |4,777 |4,285 |4,001 |4,004 |3,806 |3,606 |3,617 |3,838 |4,208 |4,146 |4,417 |4,780 |5,128 |5,273 |5,291 |5,591 |5,659 |5,912 |6,007 |6,331 |6,609 |6,745 | !35-39 |- !40-44 |**1,140** |4,629 |4,240 |4,437 |2,767 |2,740 |2,720 |2,013 |1,481 |1,112 |1,062 |1,213 |1,362 |1,372 |1,390 |1,458 |1,324 |1,319 |1,252 |1,222 |1,051 |1,009 |1,026 |967 |1,035 |996 |917 |863 |791 |774 |680 |674 |632 |597 |496 |473 |415 |376 |380 |416 |465 |457 |475 |554 |597 |654 |685 |803 |884 |766 |778 |801 |712 |766 |692 |747 |740 |776 |866 |904 |960 |909 |922 |1,043 |1,034 |1,161 |1,041 |1,208 |1,251 |1,337 | !40-44 |- !45-49 |**90** |507 |464 |486 |285 |282 |280 |258 |230 |208 |198 |150 |95 |64 |46 |59 |91 |104 |99 |82 |74 |90 |82 |64 |61 |58 |64 |47 |61 |65 |48 |50 |34 |44 |47 |30 |27 |36 |24 |28 |18 |24 |20 |19 |17 |25 |35 |28 |32 |42 |35 |38 |35 |33 |27 |22 |44 |46 |38 |48 |49 |38 |41 |60 |73 |53 |65 |53 |61 |65 | !45-49 |- !50세 이상 |**6** |60 |55 |58 |14 |14 |14 |20 |8 |4 |10 |17 |6 |16 |9 |5 |6 |9 |3 |2 |1 |9 |8 |3 |9 |4 |3 |1 |0 |0 |2 |0 |2 |0 |1 |0 |6 |2 |3 |1 |4 |0 |3 |4 |1 |2 |6 |3 |1 |0 |2 |0 |2 |0 |1 |0 |2 |0 |3 |0 |0 |1 |1 |6 |3 |0 |2 |4 |1 |2 | !50세 이상 |- !불명 |**334** |81 |74 |78 |16 |16 |16 |7 |8 |4 |7 |12 |13 |25 |19 |19 |39 |84 |121 |45 |111 |237 |350 |580 |780 |1,098 |808 |610 |472 |395 |283 |309 |291 |289 |299 |207 |225 |258 |227 |198 |179 |254 |254 |1,348 |1,128 |1,625 |2,457 |3,038 |3,383 |83 |76 |99 |82 |53 |35 |37 |40 |22 |39 |40 |38 |14 |8 |9 |8 |5 |9 |2 |1 |0 | !불명 |- !

연령별 15-49세 가임기 여성 인구

!1950-2018 평균 !1950 !1951 !1952 !1953 !1954 !1955 !1956 !1957 !1958 !1959 !1960 !1961 !1962 !1963 !1964 !1965 !1966 !1967 !1968 !1969 !1970 !1971 !1972 !1973 !1974 !1975 !1976 !1977 !1978 !1979 !1980 !1981 !1982 !1983 !1984 !1985 !1986 !1987 !1988 !1989 !1990 !1991 !1992 !1993 !1994 !1995 !1996 !1997 !1998 !1999 !2000 !2001 !2002 !2003 !2004 !2005 !2006 !2007 !2008 !2009 !2010 !2011 !2012 !2013 !2014 !2015 !2016 !2017 !2018 !2019 !

연령별 15-49세 가임기 여성 인구

|- !

15–49세 여성 전체 인구

|**1,083,314** |**1,091,313** |**1,091,156** |**1,090,994** |**1,090,834** |**1,097,788** |**1,104,740** |**1,111,693** |**1,113,448** |**1,115,826** |**1,093,146** |**1,079,109** |**1,065,072** |**1,083,743** |**1,088,767** |**1,095,023** |**1,096,232** |**1,113,169** |**1,138,279** |**1,141,548** |**1,170,146** |**1,173,533** |**1,174,488** |**1,176,673** |**1,170,468** |**1,164,291** |**1,177,334** |**1,177,247** |**1,165,123** |**1,170,862** |**1,166,817** |**1,162,773** |**1,152,704** |**1,130,858** |**1,139,362** |**1,131,152** |**1,117,142** |**1,161,753** |**1,102,815** |**1,125,627** |**1,169,437** |**1,134,934** |**1,125,917** |**1,116,900** |**1,107,883** |**1,098,867** |**1,089,849** |**1,080,833** |**1,071,815** |**1,062,799** |**1,053,782** |**1,044,765** |**1,035,748** |**1,033,822** |**1,029,271** |**1,025,538** |**1,019,358** |**1,012,512** |**1,005,073** |**998,329** |**989,751** |**979,563** |**970,458** |**962,279** |**954,525** |**945,333** |**930,899** |**915,591** |**894,034** |**875,747** | !

15–49세 여성 전체 인구

|- !10-14 |**147,718** |200,000 |190,196 |180,392 |170,588 |163,725 |156,863 |150,000 |150,000 |100,000 |150,000 |169,171 |188,342 |200,000 |130,000 |180,000 |130,000 |200,000 |170,000 |110,000 |220,000 |180,000 |175,538 |240,000 |150,000 |220,000 |125,000 |140,000 |120,000 |210,000 |172,500 |135,000 |154,425 |170,000 |120,000 |115,000 |180,000 |150,000 |180,000 |170,000 |180,000 |159,769 |156,515 |153,260 |150,006 |146,751 |143,497 |140,242 |136,988 |133,733 |130,479 |127,224 |123,970 |122,375 |120,599 |119,046 |118,532 |118,123 |119,771 |120,099 |119,112 |117,312 |113,637 |108,718 |104,061 |100,740 |99,103 |98,119 |96,741 |97,246 | !10-14 |- !15-19 |**155,709** |199,566 |195,924 |192,281 |188,638 |184,729 |180,819 |176,910 |172,959 |167,888 |159,100 |152,211 |145,323 |147,783 |152,674 |161,720 |176,807 |185,465 |188,241 |207,335 |191,333 |190,021 |192,318 |193,676 |189,903 |185,662 |181,165 |177,847 |173,543 |170,919 |167,662 |164,405 |165,133 |164,120 |162,284 |160,517 |157,500 |154,518 |153,275 |153,214 |154,485 |156,238 |154,362 |152,485 |150,609 |148,733 |146,856 |144,980 |143,103 |141,227 |139,351 |137,474 |135,598 |133,834 |132,672 |130,379 |127,438 |126,100 |124,144 |122,174 |120,512 |119,584 |118,972 |120,293 |120,345 |118,991 |116,738 |112,553 |106,814 |101,498 | !15-19 |- !20-24 |**159,773** |188,215 |188,373 |188,530 |188,688 |189,309 |189,929 |190,550 |189,239 |185,750 |179,654 |172,641 |165,628 |168,342 |163,971 |157,554 |148,726 |146,306 |149,105 |158,937 |163,116 |175,797 |176,308 |180,605 |186,004 |189,662 |191,160 |193,800 |193,204 |189,541 |184,742 |179,944 |178,791 |175,778 |173,035 |169,955 |167,150 |165,325 |163,782 |162,107 |160,171 |157,812 |156,185 |154,558 |152,931 |151,304 |149,677 |148,049 |146,422 |144,795 |143,168 |141,541 |139,914 |140,719 |140,808 |140,957 |140,789 |139,162 |137,130 |135,683 |133,171 |129,562 |127,637 |125,138 |122,918 |121,080 |119,563 |118,485 |118,318 |117,467 | !20-24 |- !25-29 |**160,560** |178,885 |178,091 |177,296 |176,502 |178,271 |180,041 |181,810 |184,503 |187,330 |186,902 |182,272 |177,641 |183,931 |181,320 |177,774 |166,338 |162,984 |160,070 |151,814 |154,200 |147,739 |134,871 |138,599 |142,736 |151,585 |164,575 |175,222 |180,216 |185,505 |187,631 |189,758 |181,347 |185,288 |184,040 |182,754 |180,883 |178,168 |175,377 |172,761 |169,699 |167,403 |164,762 |162,121 |159,479 |156,838 |154,197 |151,556 |148,915 |146,274 |143,632 |140,991 |138,350 |138,310 |139,411 |140,992 |142,998 |143,971 |144,780 |144,635 |144,140 |143,324 |141,109 |138,551 |136,760 |133,675 |129,115 |126,367 |121,593 |117,684 | !25-29 |- !30-34 |**157,292** |97,897 |114,846 |131,794 |148,742 |156,877 |165,012 |173,146 |174,918 |174,851 |173,387 |174,194 |175,000 |179,115 |182,453 |184,521 |178,628 |176,815 |174,819 |162,479 |168,000 |164,906 |162,043 |156,758 |153,029 |147,422 |139,707 |136,820 |138,131 |142,023 |152,616 |163,209 |167,840 |170,867 |175,080 |178,169 |180,083 |183,160 |184,667 |183,780 |182,185 |180,994 |177,386 |173,778 |170,170 |166,562 |162,954 |159,346 |155,738 |152,130 |148,522 |144,914 |141,306 |139,508 |138,388 |138,200 |139,124 |140,941 |140,957 |141,909 |143,140 |144,154 |144,605 |144,868 |144,378 |143,520 |141,890 |138,960 |134,288 |130,526 | !30-34 |- !35-39 |**153,983** |153,048 |136,945 |120,841 |104,737 |107,654 |110,571 |113,488 |132,376 |151,256 |161,122 |163,681 |166,240 |169,681 |170,033 |170,690 |171,276 |172,724 |175,361 |176,443 |178,672 |176,903 |175,388 |174,356 |170,872 |167,103 |164,381 |160,769 |155,572 |152,113 |145,214 |138,314 |131,803 |135,061 |137,953 |146,424 |158,193 |166,296 |170,000 |175,098 |177,584 |179,813 |177,490 |175,167 |172,844 |170,521 |168,198 |165,876 |163,553 |161,230 |158,907 |156,584 |154,261 |153,053 |151,198 |150,086 |147,253 |142,928 |141,074 |139,968 |139,500 |139,813 |140,979 |140,599 |141,213 |141,935 |142,141 |142,258 |140,975 |139,192 | !35-39 |- !40-44 |**150,512** |146,952 |147,670 |148,388 |149,106 |143,289 |137,472 |131,655 |115,703 |100,180 |91,552 |98,191 |104,830 |128,224 |146,316 |158,478 |163,457 |164,875 |166,933 |167,397 |166,825 |168,167 |171,274 |172,679 |175,424 |177,857 |176,346 |176,122 |171,957 |168,261 |164,369 |160,476 |158,331 |153,077 |150,303 |143,333 |138,333 |134,286 |135,714 |138,667 |145,313 |157,215 |157,779 |158,344 |158,908 |159,473 |160,037 |160,602 |161,166 |161,731 |162,295 |162,860 |163,424 |162,393 |161,443 |158,471 |156,362 |155,516 |154,124 |152,117 |150,721 |147,133 |142,413 |140,054 |138,535 |137,617 |137,118 |137,625 |136,172 |135,919 | !40-44 |- !45-49 |**145,484** |126,750 |129,307 |131,864 |134,421 |137,659 |140,896 |144,134 |143,750 |148,571 |141,429 |135,919 |130,410 |106,667 |92,000 |84,286 |91,000 |104,000 |123,750 |117,143 |148,000 |150,000 |162,286 |160,000 |152,500 |145,000 |160,000 |156,667 |152,500 |162,500 |164,583 |166,667 |169,459 |146,667 |156,667 |150,000 |135,000 |180,000 |120,000 |140,000 |180,000 |135,459 |137,953 |140,447 |142,942 |145,436 |147,930 |150,424 |152,918 |155,412 |157,907 |160,401 |162,895 |166,005 |165,351 |166,453 |165,394 |163,894 |162,864 |161,843 |158,567 |155,993 |154,743 |152,776 |150,376 |148,515 |144,334 |139,343 |135,874 |133,461 | !45-49 |- !50-54 |**139,194** |100,000 |105,578 |111,155 |116,733 |119,489 |122,244 |125,000 |80,000 |40,000 |100,000 |120,266 |140,531 |160,000 |90,000 |83,333 |85,714 |90,000 |100,000 |100,000 |142,857 |90,000 |101,317 |150,000 |90,000 |133,333 |150,000 |142,857 |150,000 |160,000 |162,500 |165,000 |164,215 |145,000 |142,857 |150,000 |150,000 |200,000 |150,000 |142,857 |200,000 |157,002 |156,477 |155,952 |155,428 |154,903 |154,378 |153,853 |153,328 |152,803 |152,279 |151,754 |151,229 |151,581 |156,096 |157,100 |159,772 |162,679 |165,465 |164,608 |165,441 |163,857 |162,132 |160,675 |159,308 |155,829 |152,669 |151,154 |148,409 |145,377 | !50-54 |- !

일반, 연령별, 합계 출산율

!1950-2018 평균 !1950 !1951 !1952 !1953 !1954 !1955 !1956 !1957 !1958 !1959 !1960 !1961 !1962 !1963 !1964 !1965 !1966 !1967 !1968 !1969 !1970 !1971 !1972 !1973 !1974 !1975 !1976 !1977 !1978 !1979 !1980 !1981 !1982 !1983 !1984 !1985 !1986 !1987 !1988 !1989 !1990 !1991 !1992 !1993 !1994 !1995 !1996 !1997 !1998 !1999 !2000 !2001 !2002 !2003 !2004 !2005 !2006 !2007 !2008 !2009 !2010 !2011 !2012 !2013 !2014 !2015 !2016 !2017 !2018 !2019 !

일반, 연령별, 합계 출산율

|- !

일반 출산율

|**55.35** |**87.21** |**79.90** |**83.62** |**82.69** |**81.35** |**80.25** |**77.51** |**73.12** |**69.70** |**71.57** |**70.57** |**69.66** |**66.68** |**64.18** |**62.90** |**64.94** |**64.07** |**58.95** |**57.32** |**54.38** |**52.07** |**55.25** |**56.12** |**57.57** |**57.76** |**56.92** |**56.96** |**58.39** |**58.68** |**59.33** |**58.67** |**58.52** |**59.01** |**57.58** |**57.36** |**56.09** |**51.84** |**53.69** |**51.99** |**47.59** |**48.82** |**46.03** |**42.05** |**43.81** |**44.21** |**46.04** |**49.79** |**51.78** |**44.29** |**42.87** |**41.87** |**39.58** |**38.78** |**38.54** |**39.30** |**41.69** |**40.93** |**41.70** |**43.83** |**45.04** |**44.27** |**42.45** |**43.41** |**41.84** |**41.85** |**40.29** |**41.00** |**40.89** |**42.19** | !

일반 출산율

|- !15세 미만 |**0.09** |0.04 |0.04 |0.04 |0.05 |0.05 |0.06 |0.06 |0.10 |0.10 |0.04 |0.03 |0.05 |0.10 |0.10 |0.10 |0.10 |0.10 |0.10 |0.10 |0.10 |0.10 |0.15 |0.10 |0.20 |0.10 |0.20 |0.30 |0.20 |0.10 |0.11 |0.20 |0.14 |0.10 |0.20 |0.20 |0.10 |0.10 |0.10 |0.10 |0.10 |0.10 |0.12 |0.08 |0.10 |0.11 |0.07 |0.09 |0.10 |0.07 |0.07 |0.09 |0.06 |0.09 |0.04 |0.09 |0.05 |0.04 |0.04 |0.08 |0.08 |0.09 |0.07 |0.11 |0.06 |0.05 |0.05 |0.05 |0.07 |0.03 | !15세 미만 |- !15-19 |**33.84** |36.90 |34.46 |36.74 |38.87 |39.30 |39.85 |41.10 |39.20 |37.40 |42.20 |44.31 |44.85 |43.30 |38.90 |37.20 |42.90 |52.70 |50.60 |48.40 |49.50 |47.20 |51.99 |52.50 |51.50 |52.10 |51.50 |49.70 |47.70 |47.90 |48.14 |45.40 |42.49 |41.50 |39.40 |38.70 |38.40 |36.30 |34.50 |33.60 |30.10 |28.13 |26.13 |22.77 |21.37 |21.01 |20.31 |21.77 |20.96 |17.44 |17.51 |16.74 |16.60 |16.00 |14.88 |14.50 |14.81 |14.46 |14.29 |14.57 |13.54 |12.45 |11.87 |11.37 |10.56 |10.23 |9.56 |9.60 |9.27 |8.62 | !15-19 |- !20-24 |**126.21** |166.40 |152.43 |159.36 |173.22 |170.94 |169.14 |163.81 |155.00 |150.10 |153.30 |156.03 |159.35 |154.40 |153.10 |156.60 |167.20 |163.80 |150.80 |142.10 |142.80 |134.20 |150.97 |148.70 |149.90 |144.80 |145.70 |144.20 |149.50 |152.60 |158.88 |159.30 |157.46 |157.50 |155.50 |156.30 |149.10 |144.60 |141.20 |140.50 |134.50 |130.77 |117.48 |103.30 |99.71 |99.33 |101.29 |105.82 |105.82 |90.25 |88.25 |84.50 |77.26 |74.99 |72.20 |70.93 |70.59 |65.24 |64.87 |65.93 |64.17 |58.19 |54.09 |54.42 |49.42 |47.50 |44.24 |43.28 |40.63 |40.97 | !20-24 |- !25-29 |**113.29** |163.20 |150.29 |157.97 |150.54 |147.57 |145.05 |139.42 |130.80 |125.10 |125.90 |125.17 |124.66 |116.00 |114.40 |113.20 |123.70 |122.00 |114.70 |113.00 |103.10 |97.30 |107.29 |107.10 |110.00 |107.90 |105.80 |105.70 |106.70 |107.90 |108.43 |107.30 |114.16 |111.20 |110.40 |111.10 |108.70 |105.90 |107.50 |109.40 |106.30 |108.99 |106.07 |96.11 |105.77 |106.72 |111.63 |118.56 |123.59 |108.17 |105.89 |105.01 |102.89 |101.33 |99.38 |99.63 |104.75 |102.49 |101.84 |105.76 |108.05 |105.30 |98.77 |98.75 |94.16 |92.59 |88.88 |86.63 |85.10 |87.68 | !25-29 |- !30-34 |**67.21** |115.10 |89.95 |82.02 |105.40 |98.96 |93.39 |84.83 |78.90 |74.00 |74.10 |70.88 |68.87 |65.50 |63.20 |62.60 |65.60 |63.10 |60.80 |60.50 |56.00 |53.40 |53.53 |54.90 |54.80 |54.30 |51.20 |50.00 |51.90 |51.90 |52.63 |50.80 |51.52 |49.60 |50.00 |48.60 |48.40 |46.20 |46.50 |45.50 |44.40 |48.07 |48.69 |47.61 |54.61 |57.22 |62.69 |72.18 |80.43 |69.69 |67.75 |67.72 |64.59 |64.25 |67.39 |70.54 |76.78 |76.71 |79.19 |84.44 |88.55 |90.23 |87.69 |91.11 |89.63 |91.20 |88.10 |91.97 |92.95 |97.97 | !30-34 |- !35-39 |**29.31** |70.20 |71.93 |85.29 |46.40 |44.70 |43.20 |47.08 |42.50 |39.00 |39.20 |36.22 |33.75 |31.30 |29.90 |29.00 |29.00 |29.00 |26.30 |25.30 |24.10 |22.60 |22.70 |22.50 |21.80 |21.40 |21.00 |20.80 |20.10 |19.40 |18.43 |17.20 |17.02 |16.40 |17.10 |16.50 |16.60 |16.20 |15.90 |15.30 |14.90 |16.31 |15.85 |17.53 |18.88 |20.18 |22.81 |27.86 |31.10 |26.62 |25.22 |25.63 |24.72 |23.59 |23.94 |25.60 |28.60 |29.02 |31.34 |34.18 |36.79 |37.73 |37.54 |39.77 |40.08 |41.66 |42.27 |44.51 |46.88 |48.46 | !35-39 |- !40-44 |**7.62** |31.50 |28.74 |29.93 |18.56 |19.13 |19.79 |15.29 |12.80 |11.10 |11.60 |12.36 |12.99 |10.70 |9.50 |9.20 |8.10 |8.00 |7.50 |7.30 |6.30 |6.00 |6.02 |5.60 |5.90 |5.60 |5.20 |4.90 |4.60 |4.60 |4.15 |4.20 |4.01 |3.90 |3.30 |3.30 |3.00 |2.80 |2.80 |3.00 |3.20 |2.92 |3.03 |3.60 |3.85 |4.24 |4.50 |5.30 |5.84 |4.74 |4.80 |4.93 |4.37 |4.72 |4.29 |4.72 |4.74 |4.99 |5.62 |5.95 |6.37 |6.18 |6.48 |7.45 |7.47 |8.44 |7.59 |8.78 |9.19 |9.84 | !40-44 |- !45-49 |**0.62** |4.00 |3.59 |3.69 |2.12 |2.05 |1.99 |1.79 |1.60 |1.40 |1.40 |1.10 |0.73 |0.60 |0.50 |0.70 |1.00 |1.00 |0.80 |0.70 |0.50 |0.60 |0.51 |0.40 |0.40 |0.40 |0.40 |0.30 |0.40 |0.40 |0.29 |0.30 |0.20 |0.30 |0.30 |0.20 |0.20 |0.20 |0.20 |0.20 |0.10 |0.18 |0.15 |0.14 |0.12 |0.18 |0.25 |0.20 |0.22 |0.27 |0.22 |0.24 |0.22 |0.20 |0.16 |0.13 |0.27 |0.28 |0.23 |0.30 |0.31 |0.24 |0.27 |0.39 |0.49 |0.36 |0.45 |0.38 |0.45 |0.49 | !45-49 |- !50세 이상 |**0.05** |0.60 |0.52 |0.52 |0.12 |0.12 |0.11 |0.16 |0.10 |0.10 |0.10 |0.14 |0.04 |0.10 |0.10 |0.06 |0.07 |0.10 |0.03 |0.02 |0.01 |0.10 |0.08 |0.02 |0.10 |0.03 |0.02 |0.01 |0.00 |0.00 |0.01 |0.00 |0.01 |0.00 |0.01 |0.00 |0.04 |0.01 |0.02 |0.01 |0.02 |0.00 |0.02 |0.03 |0.01 |0.01 |0.04 |0.02 |0.01 |0.00 |0.01 |0.00 |0.01 |0.00 |0.01 |0.00 |0.01 |0.00 |0.02 |0.00 |0.00 |0.01 |0.01 |0.04 |0.02 |0.00 |0.01 |0.03 |0.01 |0.01 | !50세 이상 |- !

합계출산율 (15–49)

|**1.89** |**2.94** |**2.66** |**2.77** |**2.68** |**2.61** |**2.56** |**2.47** |**2.30** |**2.19** |**2.24** |**2.23** |**2.23** |**2.11** |**2.05** |**2.04** |**2.19** |**2.20** |**2.06** |**1.99** |**1.91** |**1.81** |**1.97** |**1.96** |**1.97** |**1.93** |**1.90** |**1.88** |**1.90** |**1.92** |**1.95** |**1.92** |**1.93** |**1.90** |**1.88** |**1.87** |**1.82** |**1.76** |**1.74** |**1.74** |**1.67** |**1.68** |**1.59** |**1.46** |**1.52** |**1.54** |**1.62** |**1.76** |**1.84** |**1.59** |**1.55** |**1.52** |**1.45** |**1.43** |**1.41** |**1.43** |**1.50** |**1.47** |**1.49** |**1.56** |**1.59** |**1.55** |**1.48** |**1.52** |**1.46** |**1.46** |**1.41** |**1.43** |**1.42** |**1.47** | !

합계출산율 (15–49)

|}

# 기대수명

## 1950-현재 출생시 기대수명
{| class="wikitable" |- |1950–1955 |61.26 |- |1955–1960 |증가 63.64 |- |1960–1965 |증가 65.72 |- |1965–1970 |증가 67.46 |- |1970–1975 |증가 69.02 |- |1975–1980 |증가 69.90 |- |1980–1985 |증가 70.59 |- |1985–1990 |증가 71.88 |- |1990–1995 |증가 72.81 |- |1995–2000 |증가 74.58 |- |2000–2005 |증가 74.94 |- |2005–2010 |증가 76.09 |- |2010–2015 |증가 77.05 |} 출처: 유엔 세계인구전망 2017access-date=2018-08-26