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===Structure of the population=== Census population of China by age and sex: <gallery mode="packed"> File:China Sex by Age 1953 census.png|China population pyramid as of 1st National Census day on June 30, 1953 File:China Sex By Age 1964 census.png|China population pyramid as of 2nd National Census day on July 1, 1964 File:China Sex By Age 1982 census.png|China population pyramid as of 3rd National Census day on July 1, 1982 File:China Sex By Age 1990 census.png|China population pyramid as of 4th National Census day on July 1, 1990 File:China Sex By Age 2000 census.png|China population pyramid as of 5th National Census day on November 1, 2000 File:China Sex By Age 2010 census.png|China population pyramid as of 6th National Census day on November 1, 2010 File:China_population_sex_by_age_on_Nov,_1st,_2020.png|China population pyramid as of 7th National Census day on November 1, 2020 File:China_population_pyramid_projected_for_2030.png|China population pyramid as projected of 8th National Census day on November 1, 2030, in scenario of constant TFR at 2021 level and continued improvements in mortality </gallery> [[File:China population pyramid from 1950 to 2022.gif|thumb|279x279px|Population pyramid of China from 1950 to 2022]] [[File:China population pyramid from 2023 to 2100.gif|thumb|277x277px|[[Aging of China|Age structure projections]] for China up to 2100]] Population by Sex and Age Group ([[2010 Chinese census|as of November 01, 2010]]). For statistical purposes, the data for China do not include those for [[Hong Kong]] and [[Macau]]. Data exclude 2.3 million servicemen, 4.65 million persons with permanent resident status difficult to define, and 0.12 per cent undercount based on the post enumeration survey:<ref>{{cite web |url=https://unstats.un.org/unsd/demographic-social/products/dyb/dyb_2019/ |title=UNSD β Demographic and Social Statistics |access-date=26 May 2022 |archive-date=14 April 2022 |archive-url=https://web.archive.org/web/20220414025155/https://unstats.un.org/unsd/demographic-social/products/dyb/dyb_2019/ |url-status=live}}</ref> {| class="wikitable" style="text-align:right;" |- ! Age Group ! Male ! Female ! Total ! % |- | Total | 682 329 104 | 650 481 765 | 1 332 810 869 | {{percentage bar|100}} |- | 0β4 | 41 062 566 | 34 470 044 | 75 532 610 | {{percentage bar|5.67}} |- | 5β9 | 38 464 665 | 32 416 884 | 70 881 549 | {{percentage bar|5.32}} |- | 10β14 | 40 267 277 | 34 641 185 | 74 908 462 | {{percentage bar|5.62}} |- | 15β19 | 51 904 830 | 47 984 284 | 99 889 114 | {{percentage bar|7.49}} |- | 20β24 | 64 008 573 | 63 403 945 | 127 412 518 | {{percentage bar|9.56}} |- | 25β29 | 50 837 038 | 50 176 814 | 101 013 852 | {{percentage bar|7.58}} |- | 30β34 | 49 521 822 | 47 616 381 | 97 138 203 | {{percentage bar|7.29}} |- | 35β39 | 60 391 104 | 57 634 855 | 118 025 959 | {{percentage bar|8.86}} |- | 40β44 | 63 608 678 | 61 145 286 | 124 753 964 | {{percentage bar|9.36}} |- | 45β49 | 53 776 418 | 51 818 135 | 105 594 553 | {{percentage bar|7.92}} |- | 50β54 | 40 363 234 | 38 389 937 | 78 753 171 | {{percentage bar|5.91}} |- | 55β59 | 41 082 938 | 40 229 536 | 81 312 474 | {{percentage bar|6.10}} |- | 60β64 | 29 834 426 | 28 832 856 | 58 667 282 | {{percentage bar|4.40}} |- | 65β69 | 20 748 471 | 20 364 811 | 41 113 282 | {{percentage bar|3.08}} |- | 70β74 | 16 403 453 | 16 568 944 | 32 972 397 | {{percentage bar|2.47}} |- | 75β79 | 11 278 859 | 12 573 274 | 23 852 133 | {{percentage bar|1.79}} |- | 80β84 | 5 917 502 | 7 455 696 | 13 373 198 | {{percentage bar|1.00}} |- | 85β89 | 2 199 810 | 3 432 118 | 5 631 928 | {{percentage bar|0.42}} |- | 90β94 | 530 872 | 1 047 435 | 1 578 307 | {{percentage bar|0.12}} |- | 95β99 | 117 716 | 252 263 | 369 979 | {{percentage bar|0.03}} |- | 100+ | 8 852 | 27 082 | 35 934 | {{percentage bar|0.01|<0.01%}} |- ! Age group ! Male ! Female ! Total ! Percent |- | 0β14 | 119 794 508 | 101 528 113 | 221 322 621 | {{percentage bar|16.61}} |- | 15β64 | 505 329 061 | 487 232 029 | 992 561 090 | {{percentage bar|74.47}} |- | 65+ | 57 205 535 | 61 721 623 | 118 927 158 | {{percentage bar|8.92}} |} {{GraphChart | width = 450 | height = 150 | xAxisTitle=year | yAxisTitle= million | yAxisMin= | yGrid= 0,1 | xGrid= 10 | legend= | type = line | x = 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, 2020, 2021, 2022 | y1= 546.8, 557.5, 568.9, 581.4, 595.3, 608.7, 621.5, 637.4, 653.2, 666, 667.1, 660.3, 665.8, 682.3, 698.4, 715.2, 735.4, 754.5, 774.5, 796, 818.3, 841.1, 862, 881.9, 900.4, 916.4, 930.7, 943.5, 956.2, 969, 981.2, 993.9, 1008.1, 1020.2, 1034.8, 1045.3, 1066.8, 1084, 1101.6, 1118.7, 1135.2, 1150.8, 1165, 1178.4, 1191.8, 1204.9, 1217.5, 1230.1, 1241.9, 1252.7, 1262.6, 1271.8, 1280.4, 1288.4, 1296.1, 1303.7, 1311, 1317.9, 1324.7, 1331.4, 1337.8, 1344.1, 1353.8, 1360.7, 1367.8, 1374.6, 1382.7, 1390.1, 1395.4, 1400, 1411.1, 1412.4, 1411.8 | y1Title= population (million) }} {{GraphChart | width = 450 | height = 150 | xAxisTitle=years | yAxisTitle= β° | yAxisMin= | yGrid= 0,1 | xGrid= 10 | hAnnotatonsLine=0 | hAnnotatonsLabel= | legend= | type = line | x = 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, 2020, 2021, 2022 | y1= 19.0, 20.0, 20.0, 23.0, 24.79, 20.32, 20.50, 23.23, 17.24, 10.19, -4.57, 3.78, 26.99, 33.33, 27.64, 28.38, 26.22, 25.53, 27.38, 26.08, 25.83, 23.33, 22.16, 20.89, 17.48, 15.69, 12.66, 12.06, 12.00, 11.61, 11.87, 14.55, 15.68, 13.29, 13.08, 14.26, 15.57, 16.61, 15.73, 15.04, 14.39, 12.98, 11.60, 11.46, 11.21, 10.55, 10.41, 10.06, 9.14, 8.18, 7.58, 6.95, 6.45, 6.01, 5.87, 5.89, 5.28, 5.17, 5.08, 4.87, 4.79, 6.13, 7.43, 5.90, 6.71, 4.95, 6.53, 5.58, 3.78, 3.32, 1.45, 0.34, -0.60 | y1Title=natural change (per 1000) }}
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