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Demographics of Mexico
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=== Structure of the population === Population by Sex and Age Group (Census 12.VI.2010; including an estimation of 1 334 585 people corresponding to 448 195 housing units without information of the occupants):<ref>{{cite web | url=https://unstats.un.org/unsd/demographic-social/products/dyb/dyb_2019/ | title=UNSD β Demographic and Social Statistics | access-date=April 17, 2023 | archive-date=April 14, 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" |- ! width="80pt"|Age Group ! width="80pt"|Male ! width="80pt"|Female ! width="80pt"|Total ! width="80pt"|% |- | align="right" | Total | align="right" | 54 855 231 | align="right" | 57 481 307 | align="right" | 112 336 538 | align="right" | 100 |- | align="right" | 0β4 | align="right" | 5 346 943 | align="right" | 5 181 379 | align="right" | 10 528 322 | align="right" | 9.37 |- | align="right" | 5β9 | align="right" | 5 604 175 | align="right" | 5 443 362 | align="right" | 11 047 537 | align="right" | 9.83 |- | align="right" | 10β14 | align="right" | 5 547 613 | align="right" | 5 392 324 | align="right" | 10 939 937 | align="right" | 9.74 |- | align="right" | 15β19 | align="right" | 5 520 121 | align="right" | 5 505 991 | align="right" | 11 026 112 | align="right" | 9.82 |- | align="right" | 20β24 | align="right" | 4 813 204 | align="right" | 5 079 067 | align="right" | 9 892 271 | align="right" | 8.81 |- | align="right" | 25β29 | align="right" | 4 205 975 | align="right" | 4 582 202 | align="right" | 8 788 177 | align="right" | 7.82 |- | align="right" | 30β34 | align="right" | 4 026 031 | align="right" | 4 444 767 | align="right" | 8 470 798 | align="right" | 7.54 |- | align="right" | 35β39 | align="right" | 3 964 738 | align="right" | 4 328 249 | align="right" | 8 292 987 | align="right" | 7.38 |- | align="right" | 40β44 | align="right" | 3 350 322 | align="right" | 3 658 904 | align="right" | 7 009 226 | align="right" | 6.24 |- | align="right" | 45β49 | align="right" | 2 824 364 | align="right" | 3 104 366 | align="right" | 5 928 730 | align="right" | 5.28 |- | align="right" | 50β54 | align="right" | 2 402 451 | align="right" | 2 661 840 | align="right" | 5 064 291 | align="right" | 4.51 |- | align="right" | 55β59 | align="right" | 1 869 537 | align="right" | 2 025 828 | align="right" | 3 895 365 | align="right" | 3.47 |- | align="right" | 60β64 | align="right" | 1 476 667 | align="right" | 1 639 799 | align="right" | 3 116 466 | align="right" | 2.77 |- | align="right" | 65β69 | align="right" | 1 095 273 | align="right" | 1 221 992 | align="right" | 2 317 265 | align="right" | 2.06 |- | align="right" | 70β74 | align="right" | 873 893 | align="right" | 1 000 041 | align="right" | 1 873 934 | align="right" | 1.67 |- | align="right" | 75β79 | align="right" | 579 689 | align="right" | 665 794 | align="right" | 1 245 483 | align="right" | 1.11 |- | align="right" | 80β84 | align="right" | 355 277 | align="right" | 443 659 | align="right" | 798 936 | align="right" | 0.71 |- | align="right" | 85β89 | align="right" | 197 461 | align="right" | 256 703 | align="right" | 454 164 | align="right" | 0.40 |- | align="right" | 90β94 | align="right" | 68 130 | align="right" | 96 794 | align="right" | 164 924 | align="right" | 0.15 |- | align="right" | 95β99 | align="right" | 25 920 | align="right" | 39 812 | align="right" | 65 732 | align="right" | 0.06 |- | align="right" | 100+ | align="right" | 7 228 | align="right" | 11 247 | align="right" | 18 475 | align="right" | 0.02 |- ! width="50"|Age group ! width="80pt"|Male ! width="80"|Female ! width="80"|Total ! width="50"|Percent |- | align="right" | 0β14 | align="right" | 16 498 731 | align="right" | 16 017 065 | align="right" | 32 515 796 | align="right" | 28.94 |- | align="right" | 15β64 | align="right" | 34 453 410 | align="right" | 37 031 013 | align="right" | 71 484 423 | align="right" | 63.63 |- | align="right" | 65+ | align="right" | 3 202 871 | align="right" | 3 736 042 | align="right" | 6 938 913 | align="right" | 6.18 |- | align="right" | unknown | align="right" | 700 219 | align="right" | 697 187 | align="right" | 1 397 406 | align="right" | 1.24 |- |} Population by Sex and Age Group (Census 15.III.2020) (Including an estimation of 6 337 751 persons corresponding to 1 588 422 housing units without information of the occupants.):<ref>{{cite web | url=https://unstats.un.org/unsd/demographic-social/products/dyb/dyb_2021/ | title=UNSD β Demographic and Social Statistics | access-date=April 17, 2023 | archive-date=November 11, 2023 | archive-url=https://web.archive.org/web/20231111164217/https://unstats.un.org/unsd/demographic-social/products/dyb/dyb_2021/ | url-status=live }}</ref> {| class="wikitable" |- ! width="50pt"|Age group ! width="80pt"|Male ! width="80pt"|Female ! width="80pt"|Total ! width="80pt"|% |- | align="right" | Total | align="right" | 61 473 390 | align="right" | 64 540 634 | align="right" | 126 014 024 | align="right" | 100 |- | align="right" | 0β4 | align="right" | 5 077 482 | align="right" | 4 969 883 | align="right" | 10 047 365 | align="right" | 7.97 |- | align="right" | 5β9 | align="right" | 5 453 091 | align="right" | 5 311 288 | align="right" | 10 764 379 | align="right" | 8.54 |- | align="right" | 10β14 | align="right" | 5 554 260 | align="right" | 5 389 280 | align="right" | 10 943 540 | align="right" | 8.68 |- | align="right" | 15β19 | align="right" | 5 462 150 | align="right" | 5 344 540 | align="right" | 10 806 690 | align="right" | 8.57 |- | align="right" | 20β24 | align="right" | 5 165 884 | align="right" | 5 256 211 | align="right" | 10 422 095 | align="right" | 8.27 |- | align="right" | 25β29 | align="right" | 4 861 404 | align="right" | 5 131 597 | align="right" | 9 993 001 | align="right" | 7.93 |- | align="right" | 30β34 | align="right" | 4 527 726 | align="right" | 4 893 101 | align="right" | 9 420 827 | align="right" | 7.47 |- | align="right" | 35β39 | align="right" | 4 331 530 | align="right" | 4 668 746 | align="right" | 9 020 276 | align="right" | 7.15 |- | align="right" | 40β44 | align="right" | 4 062 304 | align="right" | 4 441 282 | align="right" | 8 503 586 | align="right" | 6.74 |- | align="right" | 45β49 | align="right" | 3 812 344 | align="right" | 4 130 069 | align="right" | 7 942 413 | align="right" | 6.30 |- | align="right" | 50β54 | align="right" | 3 332 163 | align="right" | 3 705 360 | align="right" | 7 037 532 | align="right" | 5.58 |- | align="right" | 55β59 | align="right" | 2 692 976 | align="right" | 3 002 982 | align="right" | 5 695 958 | align="right" | 4.52 |- | align="right" | 60β64 | align="right" | 2 257 862 | align="right" | 2 563 200 | align="right" | 4 821 062 | align="right" | 3.82 |- | align="right" | 65β69 | align="right" | 1 706 850 | align="right" | 1 938 227 | align="right" | 3 645 077 | align="right" | 2.89 |- | align="right" | 70β74 | align="right" | 1 233 492 | align="right" | 1 413 848 | align="right" | 2 647 340 | align="right" | 2.10 |- | align="right" | 75β79 | align="right" | 847 898 | align="right" | 966 684 | align="right" | 1 814 582 | align="right" | 1.43 |- | align="right" | 80β84 | align="right" | 523 812 | align="right" | 651 552 | align="right" | 1 175 364 | align="right" | 0.93 |- | align="right" | 85+ | align="right" | 433 968 | align="right" | 605 583 | align="right" | 1 039 551 | align="right" | 0.82 |- ! width="50"|Age group ! width="80pt"|Male ! width="80"|Female ! width="80"|Total ! width="50"|Percent |- | align="right" | 0β14 | align="right" | 16 084 833 | align="right" | 15 670 451 | align="right" | 31 755 284 | align="right" | 25.20 |- | align="right" | 15β64 | align="right" | 40 506 343 | align="right" | 43 157 097 | align="right" | 83 663 440 | align="right" | 66.39 |- | align="right" | 65+ | align="right" | 4 746 020 | align="right" | 5 575 894 | align="right" | 10 321 914 | align="right" | 8.19 |- | align="right" | unknown | align="right" | 136 194 | align="right" | 137 192 | align="right" | 273 386 | align="right" | 0.22 |- |} {{GraphChart | width = 550 | height = 150 | xAxisTitle = year | yAxisTitle = millions | yAxisMin = 0 | yGrid = 0,1 | xGrid = 10 | legend = | type = line | x = 1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020, 2021 | y1 = 19.8,20.2,20.7,21.2,21.7,22.2,22.8,23.4,24.1,24.8,28.3,29.1,30.0,30.9,31.9,32.9,34.0,35.1,36.3,37.4,38.7,39.9,41.2,42.6,43.9,45.3,46.8,48.3,49.8,51.4,53.0,54.7,56.4,58.2,59.9,61.7,63.5,65.3,67.0,68.7,70.4,71.9,73.4,74.9,76.4,77.9,79.4,81.0,82.6,84.3,86.1,87.9,89.8,91.7,93.5,95.4,97.2,99.0,100.7,102.3,103.9,105.3,106.7,108.1,109.4,110.7,112.1,113.5,115.0,116.4,114.3,115.7,117.1,118.4,119.7,121.0,122.3,123.4,124.7,125.9, 126.0 , 128.0 | y1Title = Population }} {{Graph:Chart | width=510 | height=150 | xAxisTitle=year | yAxisTitle = β° | legend = Legend | hAnnotatonsLine= | yAxisMax= 50 | yAxisMin= -15 | yGrid= 0,1 | xGrid= 10 | colors=green, black, blue, orange | type = line | xType = date | xAxisFormat = | x = 1938, 1939,1940, 1941,1942, 1943,1944, 1945,1946, 1947,1948, 1949,1950, 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, | xAxisAngle = | y1 = <!--1938β1950-->43.5,44.6,44.3,43.5,45.5,45.5,44.2,44.9,43.7,46.1,44.7,46.0,41.5,40.7,<!--1951β1970-->39.9,40.8,42.0,41.9,42.0,42.3,39.9,42.4,41.6,41.2,41.4,41.3,42.1,41.6,41.8,41.1,41.3,39.7,40.2,40.8,<!--1971β1990-->41.6,44.2,42.1,36.5,37.3,36.5,35.0,33.1,34.8,35.2,32.6,34.8,32.9,34.1,32.5,34.5,31.7,31.1,31.8,31.4,<!--1991β2010-->31.2,31.0,31.0,28.8,27.9,27.3,26.5,27.1,26.9,26.3,25.3,24.6,24.0,23.2,22.4,23.4,22.9,22.1,23.1,22.3,21.3,<!--2011β2020-->20.9,20.5,19.4,18.8,18.1,17.3,16.5,12.9,15.1, | y1Title = Crude birth rate | y2 = <!--1938β1950-->22.9,23.0,23.2,22.1,22.8,22.4,20.6,19.5,19.4,16.6,16.9,17.7,14.8,15.7,<!--1951β1970-->13.6,14.4,11.9,12.4,10.9,11.8,11.2,10.6,10.4,9.7,9.8,9.7,9.3,8.9,9.1,8.7,9.1,8.9,9.2,8.4,<!--1971β1990-->8.4,7.9,7.2,7.1,7.2,6.9,6.2,6.2,6.2,5.9,5.6,5.5,5.4,5.3,5.0,4.9,5.0,5.0,4.9,4.7,<!--1991β2010-->4.6,4.5,4.5,4.5,4.5,4.5,4.4,4.3,4.2,4.2,4.3,4.4,4.3,4.5,4.4,4.5,4.7,4.9,5.2,5.1,<!--2011β2030-->5.1,5.3,5.3,5.4,5.6,5.8,5.8,5.9,8.6,8.8, | y2Title = Crude death rate | y3 = <!--1938β1950-->20.6,21.6,21.1,21.4,22.7,23.1,23.6,25.4,24.3,29.5,27.8,28.3,26.7,24.9,<!--1951β1970-->26.2,26.4,30.1,29.5,31.2,30.5,28.8,31.8,31.2,31.5,31.6,31.6,32.8,32.7,32.7,32.3,32.2,30.7,31.1,32.4,33.2,36.3,<!--1971β1990-->34.9,29.5,30.1,29.6,28.8,26.9,28.6,29.3,27.0,29.3,27.5,28.8,27.4,29.6,26.7,26.1,26.9,26.7,26.6,<!--1991β2010-->26.4,26.6,24.3,23.4,22.8,22.1,22.7,22.7,22.1,21.0,20.2,19.7,18.7,17.9,18.9,18.2,17.3,17.9,17.2,<!--2011β2030-->16.2,15.6,15.2,14.0,13.2,12.3,11.5,10.6,4.3,6.3, | y3Title = Natural change | y4 = ,,,,,,,,, ,-1.2,0.2,1.3,95.6,3,2.8,3.5,0.5,1.7,0.4,1.3,3.2,0.1,0.6,0.1,-0.2,-0.3,-1.7,-1.7,-1.8,-1.7,-1.6,-0.1,-0.4,-1.7,-2.5,-6.1,-5.2,-0.7,-2.1,-2.4,-2.6,-2.1, -5.3,-7.6,-6.5,-9.8,-13.1,-9.4,-7.9,-9.9,-6.9,-6,-6.5,-6.1,-5.8,-5.8,-6.4,-4.9,-4.8,-5,-5.1,-6.7,-7.7,-8.1,-8,-7.9,-7.5,-6.5,-5.6,-6.4,-5.7,-4.8,-36.9,-4.9,-4.5,-4.3,-4.3,-3.4,-2.6,-3.4,-0.9,-1.2,-3.6 | y4Title = Crude migration change | showValues = | interpolate = }} {{GraphChart | width = 310 | height = 150 | xAxisTitle = year | yAxisTitle = TFR | yAxisMin = 0 | yGrid = 0,1 | xGrid = 10 | legend = | hAnnotatonsLine = 2.1 | hAnnotatonsLabel = | type = line | x = 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, 2023, 2024 | y1 = 5.7,,,,4.6,,,,,,,3.8,,,3.47,3.37,3.27,3.18,3.10,3.02,2.95,2.88,2.82,2.77,2.72,2.67,2.62,2.58,2.54,2.50,2.46,2.42,2.39,2.36,2.34,2.32,2.29,2.27,2.24,2.22,2.19,2.17,2.14,2.09,1.63,1.91 | y1Title = Total fertility rate }}
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