全国人口生命表
生命表原理和单递减死亡生命表
尚存人数 l(x)
• 尚存人数系指在x岁组中的人，在其临界年龄时的人数， 亦即为在某一临界年龄时的人数，也就是刚进入某一年龄 时的初始人数。例如：
l0—刚出生的人数 l1—刚进入1岁组的人数 l2—刚进入2岁组的人数
……
• lω-1—刚进入最高年龄组时的人数 • 由尚存人数lx的特点可见，lx(x=0,1,2……)可以构成一个
• 第一张近似的生命表是在17世纪中叶由英国统计学家约 翰•格兰特（John Grant,1620-1674）编制的
生命表的种类
• 按编制生命表所采用年龄组距的不同，可分为 完全生命表和简略生命表。完全生命表是指年 龄组距按一岁一组编制的生命表。简略生命表 是指年龄组距一般按五岁一组编制的生命表
• 按生命表所反映地域范围的不同，可分为全国 人口生命表和地区人口生命表。全国人口生命 表是指以全国人口为对象编制的生命表。 地区 人口生命表是指按省和在资料上能够满足编制 生命表要求的县，都可以编制相应的地区人口 生命表
需要作特殊处理，即在5岁以上组方法的基础上再加上一个修正因子，以使其 计算结果尽量与实际情况接近。即：Lx=1/2(lx+lx+1)+1/24(dx+1-dx-1) x=1,2,3,4 ⑻
平均生存总人年数
• 平均生存总人年数即指平均生存人年数的 累计数，也就是对平均生存人年数作累计 取和
平均预期寿命
• 按人口不同性别来编制生命表，可分为男性人 口生命表和女性人口生命表
生命表的作用（先空着，到时候讨论）
• 了解人口发生某人口事件的预期人年数（出生队列—死亡 -寿命，学生队列---退学—教育程度，女性群体—结婚— 平均初婚年龄，家庭---离婚---平均结婚年龄，老年人口— 生病---平均健康人年数等），既生育生命表，教育生命表， 婚姻生命表，家庭生命表，健康生命表，劳动力生命表。
历年来中国各年龄段人口比例,数量,中国人口生命表
本表是2003年人口变动情况抽样调查样本数据，抽样比为0.982‰.总计1260498643400617098100.0051.050-4629773450928468 5.03 2.735-9811274419336934 6.55 3.5510-1411224059219530218.75 4.6115-1910471654997497208.37 4.3620-24805964002740569 6.79 3.4125-299389246629472637.60 3.7930-3412349761870616289.71 4.8835-3912325261929613239.61 4.8640-449146746740447277.41 3.8145-499431447753465617.49 3.7850-54816794109540584 6.32 3.1855-59574722940128071 4.42 2.2360-64460232334522678 3.62 1.8265-69417102097420737 3.29 1.6570-74314841583315650 2.46 1.2475-7919310903310277 1.470.7080-849832413756950.750.3285-893687133023570.270.1090-9410263237030.080.0395+197631340.020.00本表是2004年人口变动情况抽样调查样本数据，抽样比为0.966‰.4-6 按年龄和性别分人口数4-6 按年龄和性别分人口数（2004年）注：由于各地区数据采用加权汇总的方法，人口变动情况抽样调查样本数据合计与各分项相加略有误差(以下表同)。
4-7 按年龄和性别分人口数 (2005年)本表是2005年全国1%人口抽样调查样本数据，抽样比为1.325%。
3-7 按年龄和性别分人口数 (2007年)本表是2007年全国人口变动情况抽样调查样本数据，抽样比为0.900‰。
人口统计图表模板
六、扶养比趋势2
• 另以工作年龄人口与老年人口之比观之，2022年每4.0位工作年龄人口 负担1位老年人口，至2070年将降至每1.1位即须负担1位老年人口
老年人口
工作年龄人口
2022年
4.0
2030年
2.7
2040年
2022年
(实际值)
2070年
(推估值)
说明：1.美国推估值仅至2060年。 2.2023.9依各国最新发布之数据更新上图。
韩国
( 2022
依 台湾
美国
年
数 据
ห้องสมุดไป่ตู้
英
国
由 高
德
国
→
低 义 大利
排
序法 国
)
日本
71.0
46.1
70.3
47.8
64.8
60.1 (2060年)
64.1 (2021年) 58.8
资料来源：2022年(含)以前实际值；2023年(含)以后推估值为推估，2022年8月。
六、扶养比趋势1
• 我国扶养比自2012年起逐年上升，依据中推估，随老年人口快速攀升， 未来扶养比亦将随之上升，2022年为42.2，预估于2060年超过100，并 持续上升至2070年之109.1
说明：扶养比系以年龄作为生产者与受扶养者之分界，计算出每百位工作年龄人口所需扶养之依赖人口数， 以提供时间变动趋势之参考，而非从经济角度观察的「抚养」情况。
• 0-14岁幼年人口减少143万人或50.9%，15-64岁青壮年人口减少860万人 或52.6%，65岁及以上老年人口则增加299万人或73.3%
全国人口生命表
全国人口生命表年龄别x 死亡概率xq尚存人数xl表上死亡人数xd平均生存年数xL平均生存年数累计xT平均预期寿命xoe0岁0.0264 100000 2637 98022 7207440 72.07 1岁0.0025 97363 242 97139 7109417 73.02 2岁0.0016 97121 155 97038 7012279 72.20 3岁0.0012 96966 113 96906 6915241 71.32 4岁0.0009 96852 84 96808 6818334 70.40 5岁0.0007 96768 69 96734 6721526 69.46 6岁0.0006 96700 57 96671 6624792 68.51 7岁0.0005 96642 52 96616 6528121 67.55 8岁0.0005 96590 49 96566 6431505 66.59 9岁0.0004 96541 43 96519 6334939 65.62 10岁0.0004 96498 43 96476 6238420 64.65 11岁0.0004 96454 40 96434 6141944 63.68 12岁0.0004 96415 39 96395 6045509 62.70 13岁0.0004 96376 40 96356 5949114 61.73 14岁0.0004 96337 42 96315 5852758 60.75 15岁0.0005 96294 48 96270 5756442 59.78 16岁0.0005 96246 51 96221 5660172 58.81 17岁0.0006 96195 58 96166 5563952 57.84 18岁0.0007 96137 69 96103 5467785 56.87 19岁0.0008 96068 76 96030 5371683 55.92 20岁0.0009 95992 88 95948 5275652 54.96 21岁0.0009 95904 87 95860 5179704 54.01 22岁0.0010 95817 94 95770 5083844 53.06 23岁0.0010 95723 95 95676 4988074 52.11 24岁0.0010 95628 100 95578 4892398 51.16 25岁0.0011 95528 103 95476 4796820 50.21 26岁0.0010 95425 100 95375 4701344 49.27 27岁0.0011 95325 106 95272 4605969 48.32 28岁0.0011 95219 106 95166 4510697 47.37 29岁0.0012 95113 111 95058 4415531 46.42 30岁0.0013 95002 121 94942 4320474 45.48 31岁0.0013 94881 119 94822 4225532 44.53 32岁0.0013 94762 128 94698 4130710 43.59 33岁0.0013 94634 126 94571 4036012 42.65 34岁0.0014 94508 136 94440 3941441 41.70 35岁0.0016 94372 149 94298 3847000 40.76 36岁0.0016 94223 147 94150 3752703 39.83 37岁0.0017 94077 161 93996 3658553 38.89 38岁0.0018 93916 168 93832 3564557 37.9539岁0.0019 93748 182 93657 3470725 37.02 40岁0.0022 93566 205 93464 3377068 36.09 41岁0.0022 93361 202 93260 3283604 35.17 42岁0.0024 93159 225 93046 3190344 34.25 43岁0.0025 92934 229 92819 3097297 33.33 44岁0.0027 92705 247 92581 3004478 32.41 45岁0.0030 92457 277 92319 2911897 31.49 46岁0.0031 92180 290 92036 2819578 30.59 47岁0.0035 91891 318 91731 2727543 29.68 48岁0.0037 91572 341 91402 2635811 28.78 49岁0.0042 91231 381 91041 2544409 27.89 50岁0.0049 90851 442 90630 2453368 27.00 51岁0.0049 90408 439 90189 2362739 26.13 52岁0.0055 89969 494 89722 2272550 25.26 53岁0.0059 89475 525 89213 2182828 24.40 54岁0.0067 88950 592 88654 2093615 23.54 55岁0.0072 88358 637 88040 2004961 22.69 56岁0.0075 87722 661 87391 1916921 21.85 57岁0.0086 87061 748 86687 1829530 21.01 58岁0.0093 86313 802 85912 1742843 20.19 59岁0.0108 85510 919 85051 1656931 19.38 60岁0.0128 84591 1079 84051 1571881 18.58 61岁0.0129 83512 1081 82971 1487829 17.82 62岁0.0146 82431 1205 81828 1404858 17.04 63岁0.0154 81225 1254 80598 1323030 16.29 64岁0.0177 79971 1416 79263 1242432 15.54 65岁0.0199 78556 1562 77775 1163168 14.81 66岁0.0206 76994 1587 76200 1085394 14.10 67岁0.0235 75407 1771 74521 1009193 13.38 68岁0.0269 73635 1984 72643 934672 12.69 69岁0.0311 71651 2226 70538 862029 12.03 70岁0.0357 69425 2481 68185 791491 11.40 71岁0.0370 66944 2475 65707 723306 10.80 72岁0.0429 64469 2769 63085 657600 10.20 73岁0.0453 61701 2796 60303 594514 9.64 74岁0.0490 58904 2889 57460 534212 9.07 75岁0.0537 56016 3007 54512 476752 8.51 76岁0.0586 53008 3105 51456 422240 7.97 77岁0.0631 49903 3149 48329 370784 7.43 78岁0.0718 46754 3357 45076 322455 6.90 79岁0.0825 43397 3579 41607 277379 6.39 80岁0.0947 39818 3773 37931 235772 5.92 81岁0.0984 36045 3546 34272 197840 5.49 82岁0.1080 32499 3511 30743 163569 5.0383岁0.1157 28988 3355 27310 132825 4.58 84岁0.1248 25633 3199 24034 105515 4.12 85岁0.1322 22434 2967 20951 81481 3.63 86岁0.1404 19468 2733 18101 60530 3.11 87岁0.1529 16735 2558 15456 42429 2.54 88岁0.1660 14177 2353 13000 26973 1.90 89岁0.1789 11824 2115 10766 13973 1.18 90岁+1.000097099709320732070.332000年女性人口死亡曲线计算公式1．年龄别死亡率：x x xD m P =2．死亡概率：0001(1)m q r m =+-22x x xm q m =+11q ω-=3．尚存人数和表上死亡人数： ，*x x x d l q =1x x xl l d +=-0101110001224(1)x x x x x xx x T T L l l d d L T e l L rl r l ++-=++-=+==--4．平均生存人年数：001(1)L rl r l =--(x=1、2、3、4）111224x x x x x l l d d L ++-+-=+12x x x l l L ++=111l L m ωωω---=5．平均生存人年数累计：11T L ωω--= 1x x x T T L +=+ 010T T L =+6．平均预期寿命：0x x xT e l =。
人口数据表格
乡城市男2357679乡村妇女生年龄女性比率死亡率年龄城市妇女生镇妇女生育00.46 6.380.4 6.080.569.10.4810.790.6513.970.5418.55城市女235022410.460.840.390.760.580.930.470.540.65 1.450.51 1.96镇男14648040.2126220.410.580.340.050.550.580.440.40.65 1.160.51 1.31镇女14441760.0139930.450.560.390.370.580.570.470.420.650.730.510.66乡男47624000.1035140.490.20.420.340.610.340.510.360.70.650.560.61乡女46064840.0951250.510.230.430.360.660.670.540.330.710.620.580.660.1007160.480.290.420.150.620.420.520.240.70.760.580.280.0419670.530.510.460.080.70.520.580.270.780.450.640.190.0223880.530.30.470.150.720.230.590.110.780.580.660.30.0419690.560.440.480.10.720.40.610.110.810.70.680.350.02798100.60.180.530.140.810.490.690.180.910.70.780.280.03917 110.580.190.520.20.770.350.660.130.860.660.740.390.05595 120.610.320.540.140.850.580.730.170.970.590.850.360.03917 130.620.130.550.150.880.480.760.3110.450.890.250.04196 140.650.360.580.350.950.220.830.19 1.110.550.980.330.09792 150.750.710.690.07 1.080.340.960.17 1.230.65 1.10.44150.020.040.160.01958 160.790.270.740.180.980.640.890.31 1.06 1.030.950.52160.250.380.930.05036 170.80.380.790.150.880.440.820.480.86 1.070.780.6317 1.07 2.28 4.370.04196 180.880.480.920.310.850.750.80.580.82 1.690.740.5918 3.07 6.5813.580.08673 190.770.470.810.240.64 1.140.610.230.63 1.70.580.95199.8323.6336.480.06714 200.690.590.740.060.520.730.510.280.53 1.910.530.822029.0168.2395.010.01679 210.690.430.760.260.47 1.310.530.420.49 1.750.520.782148.17113.45150.840.07274 220.730.650.780.230.51 1.340.570.490.49 2.060.540.922264.95129.43164.580.06434 230.860.420.940.210.620.770.720.40.58 1.770.620.622384.17139.5167.170.05875 240.760.680.810.230.58 1.080.670.240.53 1.740.560.82496.45141.13157.270.06434 250.730.340.790.290.590.640.670.380.52 2.010.57 1.122596.52118.48136.960.08113 260.790.360.850.360.6810.740.360.55 1.90.570.652692.4298.9117.290.10071 270.790.850.840.140.68 1.30.74320.54 1.840.570.912783.181.29100.390.03917 280.760.760.80.180.67 1.490.720.270.53 2.030.540.882869.4868.1689.040.05036 290.840.770.880.30.76 1.90.810.460.59 2.310.61 1.16295555.7980.440.08393 300.870.720.90.20.810.770.860.770.64 2.30.650.863045.3446.8869.190.05595 310.940.710.960.290.88 1.160.940.310.7 2.570.74 1.023135.4341.2365.460.08113 3210.83 1.020.440.94 1.450.970.530.74 2.480.77 1.313227.0934.5651.150.1230933 1.04 1.08 1.040.270.980.95 1.010.730.78 2.380.82 1.293321.2826.9540.910.0755334 1.08 1.08 1.060.5 1.01 1.57 1.060.430.83 2.660.86 1.253417.521.3130.590.1398835 1.15 1.01 1.130.44 1.13 2.04 1.140.460.92 2.630.98 1.213512.4615.3122.620.1230936 1.04 1.2 1.030.62 1.03 1.9 1.060.530.86 2.560.92 1.5368.9812.6317.010.1734537 1.11 1.2 1.120.6 1.14 1.65 1.15 1.10.97 2.72 1.03 1.4937 6.369.5912.190.16786380.84 1.320.840.760.89 1.840.910.620.82 3.150.87 1.2938 4.51 6.198.540.21262 390.96 1.590.940.7 1.01 1.78 1.060.870.92 2.990.97 1.5739 3.37 3.85 6.110.1958340 1.03 1.850.990.72 1.07 2.6 1.060.730.93 3.390.97 1.4240 2.7 3.33 3.730.2014341 1.04 1.48 1.010.70.99 2.96 1.01 1.230.86 2.780.91 1.7441 1.76 1.59 2.540.1958342 1.28 2.12 1.220.82 1.18 2.24 1.190.91 1.01 3.54 1.04 1.3842 1.23 1.32 1.90.2294 430.91 2.340.87 1.030.87 3.230.87 1.160.78 3.620.82 1.98430.9 1.31 1.350.28815 440.53 2.640.52 1.160.45 2.160.47 1.490.42 4.550.45 1.8440.64 1.17 1.670.32452 450.71 2.730.68 1.070.57 2.60.59 1.80.54 4.570.55 2.24450.760.870.940.29934 460.63 3.270.61 1.640.55 3.60.53 1.780.5 4.540.5 2.35460.90.460.970.4588 470.79 3.080.77 1.190.7 4.510.68 1.780.68 4.930.67 2.53470.50.560.690.33291 480.85 4.010.83 1.820.79 3.210.78 2.690.8 5.490.78 2.97480.520.970.840.50916 490.75 4.240.76 1.610.7 4.270.71 1.540.72 5.220.74 3.14490.740.620.80.45041 500.8 4.230.79 2.050.78 5.450.76 2.730.83 5.150.8 3.50.57351 510.79 3.810.8 1.940.73 5.520.74 2.680.8 5.80.77 3.190.54273 520.69 4.090.71 2.370.68 5.190.67 3.110.76 6.830.74 3.670.66303 530.68 5.240.7 2.90.68 6.450.69 2.850.77 6.560.74 3.870.8113 540.59 5.450.59 3.60.577.340.58 3.730.658.510.63 4.55 1.00713 550.58 5.60.59 3.170.577.970.57 4.260.668.50.63 4.250.88684 560.56 5.390.57 3.340.567.620.54 5.040.659.260.59 5.630.9344 570.47 6.580.49 4.040.468.060.46 5.060.559.240.52 5.59 1.13023 580.467.30.47 4.170.479.190.46 4.450.5511.170.51 6.7 1.1666 590.428.60.43 5.490.439.540.42 6.160.4912.060.477.61 1.53588 600.398.640.4 6.280.4210.830.41 6.640.4913.880.468.44 1.75689 610.3610.120.38 5.820.3813.660.36 6.960.4612.930.418.84 1.6282 620.3412.320.35 6.820.3512.570.349.970.4215.170.3910.1 1.90796 630.3413.060.367.830.3414.360.347.720.417.290.3711.52 2.19051 640.3511.870.367.40.3515.970.328.440.4120.280.3612.74 2.07022 650.3415.740.379.730.3416.810.359.850.4122.40.3813.6 2.72206 660.317.520.328.070.2718.70.2710.580.3321.550.315.86 2.25766 670.3319.130.3511.340.3121.070.314.270.3725.340.3316.91 3.17247 680.3219.870.3213.70.325.060.2916.50.3528.880.3218.02 3.8327 690.3122.920.3215.230.2730.230.2916.240.3333.380.3222.65 4.26073 700.325.550.3216.10.2832.490.2917.270.3437.630.3324.85 4.50412 710.2725.970.2816.790.2432.740.2519.160.2836.920.2924.93 4.69716 720.2828.980.2819.970.2535.780.2622.470.347.230.331.72 5.58679 730.2332.780.2423.70.2143.490.2226.320.2548.860.2635.49 6.63029 740.2140.110.221.610.1839.980.1929.020.2253.630.2435.81 6.04559 750.2142.660.2127.360.1952.660.232.60.2359.240.2541.217.65421 760.1643.470.1732.910.1552.480.1733.030.1762.940.246.719.20687 770.1645.470.1736.150.1468.570.1738.430.1767.260.249.6710.1133 780.1361.790.1540.70.1261.30.1543.360.1581.570.1856.3811.3862 790.1157.820.1242.830.182.160.1255.490.1286.780.1566.3911.9821 800.166.970.1250.510.180.850.1364.410.1297.550.1667.8714.1306 810.0874.950.154.270.0877.110.165.190.1103.50.1374.2815.1825 820.0777.430.0958.290.0790.980.0970.130.08113.70.1185.1216.3072 830.0694.540.0865.920.05124.20.0876.20.07125.70.195.3918.4417840.05108.690.0779.30.05108.20.0799.270.051320.08107.122.1849 850.04108.530.0682.120.03123.40.0685.950.04163.60.07120.522.9738 860.03136.190.04104.30.02150.10.0575.110.03143.40.05118.129.1789 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720.2830.60.2619.910.2158.70.1923.980.2260.740.2334.61 5.30054 730.2733.150.2624.410.2235.710.219.410.2362.120.2346.66 6.49856 740.2227.320.2224.440.1650.480.1731.090.1654.750.1742.65 6.50654 750.2248.720.2232.410.1670.990.1826.750.1859.210.245.028.62836 760.1843.860.1933.30.1370.280.1515.830.1578.270.1638.958.8653 770.1544.720.1649.290.1193.160.1141.830.1388.210.1453.3713.1222 780.1453.550.1437.80.1133.970.1279.90.12103.20.1476.4210.0633 790.1262.390.1341.260.0797.010.141.170.11110.1274.9810.9844 800.1170.430.1254.30.0847.130.09102.70.0992.380.1279.3914.456 810.09103.280.159.920.0853.150.07128.50.07166.20.0910015.9522 820.0789.190.0963.930.06155.40.0785.910.06104.60.0989.6217.0198 830.0587.350.0771.130.041290.0681.740.05135.70.07137.918.9366 840.04165.020.06140.020.03151.90.0664.640.04182.40.06118.437.2768 850.03151.390.0538.550.03143.40.0460.930.03150.80.0510110.263 860.03113.040.04192.730.0228.230.041280.03174.90.04133.951.3096 870.0289.290.0481.40.01276.80.031540.02221.40.0369.8521.6707 880.02225.520.03141.520.01313.90.03131.60.01119.60.03144.737.6762 890.01230.430.02225.910.01237.40.0288.70.01361.70.02154.360.1429 90+0.04251.180.07252.60.02283.40.052660.03311.90.06310.967.2485乡年龄女性比率死亡率年龄城市妇女生镇妇女生育乡村妇女生200.4410.760.3912.530.56 4.770.4612.920.6722.680.5726.42城市男10.3900.350.870.51 1.010.4200.51 2.010.42 1.75城市女1646970.23253 20.4400.410.340.56 1.630.4600.630.870.50.9镇男804910.09088 30.420.750.3900.56 2.480.4600.6520.540.53镇女774640 40.470.080.4100.60.20.5200.73 1.930.620乡男3975790 50.50.730.4200.6500.5400.740.750.630.61乡女3740360 60.51 1.020.450.710.7 1.780.5900.780.10.690.720.18977 70.5400.46 1.250.7900.6500.850.720.730.120.3341 80.540.980.4800.7800.6400.82 1.30.740.180 90.560.250.5100.800.6600.890.40.790.110 100.580.320.510.110.80.520.7100.990.160.860.460.0294 110.5900.5500.8600.810 1.01 1.20.880.380 120.720.790.660.26 1.0900.950 1.230.39 1.130.170.06949 130.75 1.010.690.43 1.0500.940 1.180.52 1.090.710.11493 140.7400.690 1.06 2.030.910 1.140.41 1.050.30 150.77 1.10.730.47 1.1200.980 1.190.31 1.110.4315000.890.12562 160.730.450.70 1.03 1.040.840.76 1.03 1.170.970.51160.4900.820170.67 1.40.690.120.880.690.7500.87 1.710.760.2517000.960.03207 180.70.060.7200.77 1.170.640.220.8 1.060.720.73180.5 2.65 6.780 190.7300.7200.5900.5600.70.610.60.3919 1.97 3.8813.190 200.870.280.800.61 2.10.630.210.810.730.730.22010.5326.241.450 210.720.890.6700.53 3.420.5600.66 3.20.620.692134.4769.37103.580 220.66 1.340.6900.56 1.130.6200.68 1.030.670.52252.7110.85164.370 230.700.7700.63 1.110.720.790.72 3.510.67 1.842379.36131.03197.830 240.7300.770.150.700.7700.71 2.030.70.4224101.9163.8205.760.04009 250.730.730.740.120.680.810.72 1.730.67 1.290.640.925111.1146.82149.050.03207 260.7700.820.370.760.690.8600.760.290.720.3526117.24115.15140.60.09889 270.820.510.87 1.410.8100.900.77 1.20.740.7227101.73106.35110.510.37686 280.890.470.970.70.94 1.88 1.0100.870.960.82 1.182884.1672.8999.340.1871 290.98 1.210.130.95 1.790.9600.89 3.130.83 1.722974.0364.7280.270.0347530 1.06 1.43 1.080 1.071 1.070.560.95 1.910.91 1.573053.7436.9672.14031 1.06 1.52 1.050.99 1.040 1.050.620.91 2.980.86 2.093133.3837.460.80.2646132 1.15 1.13 1.110.03 1.160.98 1.20.9 1.01 2.610.99 1.253231.1635.961.730.0080233 1.060 1.050.18 1.04 1.47 1.0300.93 1.570.88 2.363314.8225.4939.670.0481134 1.16 1.02 1.120.82 1.20.63 1.20.66 1.03 1.3510.913418.0317.6127.10.21917 350.85 1.060.830.610.920.370.92 1.310.87 3.940.86 2.413511.15 5.9922.130.16304 361 2.510.920.97 1.1 1.32 1.0400.98 2.760.94 1.77368.55 4.515.690.2592637 1.060.820.96 1.32 1.06 2.28 1.080.730.92 2.090.9 1.8437 6.299.2210.920.3528138 1.14 1.61 1.090.71 1.03 1.03 1.03 1.120.93 3.680.91 2.1638 4.67 5.487.20.1897739 1.370.33 1.30.47 1.231 1.220.551 4.060.98 3.2339 2.49 3.1 5.150.12562 401 1.470.93 1.13 1.010.80.9600.85 2.360.79 3.2240 1.62 5.53 4.580.30203 410.65 2.890.62 1.150.5100.5300.42 4.970.41 3.8641 1.040 3.20.30737 420.86 1.760.790.280.63 1.740.59 1.340.59 1.690.55 1.15420.62 1.37 2.170.07484 430.75 2.50.73 1.090.56 5.090.49 1.120.51 4.420.49 2.91430.580 1.220.29133 440.92 2.80.89 1.50.74 2.80.69 1.580.66 3.950.62 3.42440.950 1.320.40092 450.94 2.70.91 2.690.78 5.560.77 1.090.77 2.940.71 1.31450.510.170.960.71898 460.84 1.180.82 1.860.7 2.510.6410.68 4.780.66 2.22460.100.190.49714 470.89 1.470.85 1.950.72 3.670.72 1.110.73 5.060.69 2.064700.960.550.5212 480.87 2.360.84 2.660.750.810.730.880.73 4.890.7 3.07480.2300.380.71096 490.74 4.830.73 2.310.65 4.470.66 5.040.66 5.750.63 3.46490.4200.170.61742 500.71 1.480.76 2.140.73 5.40.69 3.930.72 6.70.72 2.820.57198 510.61 4.970.62 1.040.58 3.680.567.420.58 5.160.55 4.330.27797 520.63 4.380.62 1.440.58 4.970.53 3.750.598.260.55 3.840.38488 530.57 2.720.59 4.580.547.330.54 2.180.58 5.820.54 4.31 1.22414 540.4940.5 2.20.46 5.850.45 3.30.5 6.740.47 3.310.58802 550.497.30.51 3.310.458.950.47 4.170.499.640.47 6.610.8847 560.467.980.46 2.570.4310.910.43 6.690.4413.510.43 6.180.68691 570.3910.390.43 4.790.38 4.40.370.220.429.890.387.55 1.28027 580.377.410.42 2.840.3918.020.4 6.040.411.370.378.520.75907 590.3510.160.37 3.580.3621.840.36 5.920.3718.80.347.590.95686600.410.360.44 2.410.398.840.39 6.050.419.890.3712.870.64414 610.3713.210.41 6.360.3513.360.31 4.490.3616.890.3316.09 1.6999 620.415.010.4270.3615.730.3513.090.3532.320.3313.28 1.87096 630.3510.210.3970.2923.130.2810.640.3125.860.2916.4 1.87096 640.3814.530.458.850.3422.10.3115.660.3628.880.3219.35 2.36543 650.3915.880.418.850.3218.480.31 6.090.3328.570.3219.68 2.36543 660.3818.280.3910.350.3324.80.315.780.3225.80.2915.25 2.76635 670.3521.80.3713.850.2720.060.326.20.332.50.2828.36 3.70182 680.3515.230.3718.330.2729.050.2519.040.2738.990.2825.94 4.89924 690.3427.250.3415.710.2742.480.2619.30.2734.640.2633.15 4.19897 700.3225.280.3117.850.2735.740.2629.330.2749.450.2730.61 4.77094 710.2835.490.2821.880.238.040.28.460.2262.130.2336.7 5.84808 720.2752.420.2817.40.2359.690.2222.050.2352.160.2435.33 4.65067 730.2235.440.2224.220.236.580.1926.260.1877.750.1939.15 6.47352 740.2338.350.2416.980.1942.370.1832.840.1869.530.240.68 4.53841 750.232.150.246.520.1683.960.1784.920.1883.890.1749.7212.4339 760.1662.630.1735.350.1253.930.1525.350.1367.740.1539.89.44834 770.1548.540.1550.670.1246.960.1372.580.1284.010.1565.713.5431 780.1270.390.1436.310.1171.170.1343.840.1296.290.1459.949.70493 790.193.990.1135.840.06101.80.146.460.183.140.1279.439.57931 800.158.660.1143.630.0859.020.174.610.09114.10.1278.5111.6614 810.0880.910.0850.870.06104.40.0861.650.07181.50.0995.3113.5965 820.06136.660.0866.420.0687.770.0958.970.06103.40.0883.0317.7527 830.0548.160.0774.650.04125.90.0677.770.05127.10.07100.719.9524 840.04202.180.0650.360.0359.740.05151.10.04117.40.06123.913.4602 850.03129.520.0523.570.03139.40.05160.90.031110.05138.5 6.29978 860.02204.580.0563.260.02123.20.04107.10.02209.10.04163.516.9081 870.0285.710.03125.670.01337.40.03210.70.01198.60.03130.733.5891 880.0297.230.03172.50.01204.20.03183.90.02228.10.03172.446.1058 890.0169.820.02182.810.0194.190.0241.550.01255.60.02212.448.8614 90+0.04108.820.06186.710.02273.80.061480.02234.80.06246.749.9038乡年龄女性比率死亡率年龄城市妇女生镇妇女生育乡村妇女生200.47 5.920.42 5.20.59 6.950.5210.450.6722.590.5833.35城市男10.44 1.370.40.470.58 4.140.4600.58 2.190.480.88城市女1474650.11596 20.42 3.370.3900.5200.43 1.410.63 2.380.49 3.13镇男802790 30.4800.420.580.610.880.54 1.280.69 1.420.590.7镇女779760.1431 40.4900.4400.650.120.5500.73 2.380.620.63乡男3946900 50.51 3.410.440.20.720.370.57 1.650.770.490.680.83乡女3722420.04935 60.5300.4900.720.950.6200.840.830.740.160 70.5100.50.720.720.870.62 2.490.830.890.720.250.17764 80.550.460.5 1.160.73 1.820.6400.910.790.820.260.286290.570.470.5200.7700.6600.970.140.850.020 100.610.250.5700.8600.75 1.17 1.070.620.960.660 110.700.6500.9900.860 1.270.27 1.130.380 120.720.770.660.240.9900.830 1.210.33 1.070.220.05921 130.730.390.700.9500.870.77 1.120.5 1.050.40 140.770.920.73 1.27 1.07 1.740.910 1.191 1.120.10.31334 150.6900.6600.9600.830 1.060.330.960.52150.4500.020 160.640.550.6300.890.090.7500.920.910.840.41600.770.880 170.650.320.670.110.8300.7100.8 1.550.710170.140 1.160.02714 180.770.160.770.570.74 2.610.6500.770.560.66 1.11180.73 2.05 2.830.14063 190.880.740.99 1.190.670.140.66 1.820.810.490.710.8219 2.4 4.7715.230.29361 200.72 2.970.790.260.56 1.670.5700.7 1.640.650.820 4.0722.8933.050.06415 210.690.150.740.060.52 1.030.570.610.66 1.780.660.92123.4249.9197.530.0148 220.71 1.590.7700.65 1.030.71 1.20.72 1.570.690.912252.7998.13161.110 230.7100.730.820.6300.7200.71 1.980.69 1.292385.07121.91200.70.20232 240.690.830.7400.630.120.7900.7 1.240.650.22499.8126.3176.20 250.770.130.8700.79 2.660.900.8 1.180.75 1.8725128.84163.49179.370 260.80.710.850.620.8500.980.690.79 2.40.77 2.3326137.75143.68148.090.15297 270.880.390.950.820.95 1.30.9900.890.960.82 1.127112.3114.91112.650.20232 2810.07 1.030.04 1.02 2.02 1.07 1.080.9 2.150.87 1.292886.4294.3897.640.0098729 1.010.45 1.07 1.16 1.01 1.91 1.06 3.760.92 1.340.870.452973.2253.0279.580.286230 1.12 1.55 1.080 1.11 2.2 1.170.340.98 2.450.93 1.313047.337.4259.66031 1.120 1.130.62 1.180.58 1.17 1.11 1.01 2.160.98 1.283138.513259.650.1529732 1.07 1.29 1.07 1.14 1.08 3.25 1.0800.98 1.40.93 1.13223.930.4848.570.2812733 1.1 1.77 1.080.34 1.17 1.74 1.15 1.86 1.04 1.75 1.0113327.9823.0935.180.08389 340.84 2.130.820.430.92 3.390.920.270.9 3.090.870.743418.0917.3727.230.10609 350.980.870.92 1.54 1.10.88 1.080.58 1.01 2.520.95 1.53511.1515.5516.830.3799636 1.04 2.7810.67 1.082 1.1 1.680.98 1.50.91 2.22367.52613.670.1653137 1.16 1.47 1.130.3 1.08 1.52 1.10.490.91 2.220.880.43377.2710.677.210.0740238 1.38 1.36 1.310.09 1.250.58 1.21 2.57 1.02 3.220.98 1.5838 4.29 3.39 6.510.02221 390.91 1.290.83 1.210.8700.8400.74 2.570.73 1.1439 3.8 6.82 5.680.29854 400.66 1.980.620.240.54 1.180.5700.46 4.470.450.8740 2.27 6.56 3.890.05921 410.86 5.340.840.460.69 1.050.660.540.57 2.210.52 1.194100 5.970.11349 420.75 2.40.72 1.070.660.80.5700.53 3.460.48 1.62420.950.4 2.010.264 430.980.930.920.490.8 2.250.7800.65 4.110.62 1.66430.57 1.660.290.1209 440.96 3.830.910.720.8 2.910.760.790.73 1.950.69 3.094400 1.50.17764 450.88 1.780.85 1.750.76 2.210.740.820.67 2.710.66 1.754500.65 1.370.43177 460.89 2.360.890.290.8 3.550.760.250.72 4.350.69 3.6246000.410.07155 470.86 1.260.830.630.77 3.640.76 2.130.72 5.760.68 3.3470.360.370.450.15544 480.77 3.260.74 1.480.68 4.430.66 5.890.67 4.810.64 2.49480.360 1.230.36516 490.72 5.710.72 3.090.67 6.520.64 1.10.687.080.62 3.44490.3600.640.76239 500.64 3.820.69 2.360.61 2.90.5900.68.570.62 4.40.58228 510.6311.420.62 2.610.57 2.940.58 2.560.59 6.770.56 4.850.64396520.59 5.310.57 4.490.5513.910.54 5.240.58 5.660.53 5.15 1.10781 530.57.040.5 3.010.48 1.660.45 4.620.57.980.47 4.030.74265 540.48 6.120.51 2.360.48 2.60.49 4.110.498.390.47 6.870.58228 550.45 5.660.47 2.580.41 5.90.4400.4411.290.42 5.840.63656 560.39 3.980.42 4.470.47.240.378.010.439.460.39 3.58 1.10287 570.4 5.050.39 4.730.389.820.38 2.510.428.920.37 4.38 1.16702 580.36 3.70.39 6.940.337.370.367.450.3812.210.367.78 1.71229 590.36 4.050.43 6.770.3317.450.35 2.460.3612.480.33 4.72 1.67035 600.3818.490.43 4.850.3811.560.388.190.3917.730.3615.9 1.19663 610.412.650.438.50.39 6.530.359.880.3619.050.3212.05 2.09719 620.3610.490.419.310.3111.410.3210.530.3121.690.312.51 2.29704 630.3913.330.43 6.140.3624.320.329.970.3719.130.3214.93 1.51491 640.3914.10.4112.910.3321.770.31 6.970.3523.410.3119.08 3.18526 650.3918.70.419.940.3222.810.3215.50.3425.390.3118.34 2.45247 660.3614.670.3911.430.2827.610.288.770.332.130.2817.68 2.8201 670.3422.750.3620.040.2722.650.2715.10.2932.950.2820.85 4.94442 680.3515.690.3517.80.2931.990.2720.720.337.70.2922.66 4.39175 690.3123.980.3116.960.2635.230.2425.20.2440.120.2424.94 4.1845 700.327.080.2818.660.2341.550.2416.530.2445.010.2635.46 4.60394 710.2944.040.2816.950.2139.210.2221.430.2448.860.2338.97 4.18204 720.2430.810.2322.040.1943.350.1918.260.1952.020.235.86 5.43788 730.2430.830.2434.850.1759.660.1726.810.1955.820.2137.968.59846 740.1945.960.1941.410.1545.630.1534.80.1656.980.1937.6110.217 750.1845.150.1829.630.1464.470.15 1.710.1560.750.1640.037.31054 760.1558.090.1741.420.1272.410.1475.330.1557.690.1751.6410.2195 770.1285.830.1533.020.158.540.1256.820.1297.160.1461.258.14695 780.1161.210.1339.930.154.110.1243.980.1184.250.1355.599.85184 790.153.910.1233.520.09112.40.128.280.09104.20.1281.968.27032 800.198.040.1166.730.0654.530.1103.30.08104.60.1192.5516.4641 810.0775.340.0975.630.06162.70.06340.07142.20.0978.618.66 820.0563.070.0780.390.0513.460.0774.660.05114.80.0875.1319.8344 830.04137.870.0657.460.0474.680.0662.180.04100.80.0678.4214.177 840.04132.950.0548.190.03102.80.0519.120.04160.50.05107.611.8898 850.03122.360.05116.160.0383.880.05121.40.03207.50.0410828.6599 860.03153.290.0468.630.02177.90.03153.70.02259.10.04126.416.9329 870.02126.720.03140.990.0282.860.031030.02177.10.03123.134.7861 880.01195.010.0292.780.01150.10.0274.560.01224.10.03129.822.8914 890.01108.670.02184.240.01307.60.01102.40.01244.90.02179.845.4571 90+0.03131.720.06337.850.02205.50.07187.60.03265.30.05189.383.357。
生命表名词解释
生命表名词解释
生命表：在生态学中，指死亡表和寿命表，用于简单而直观地反应种群存活和死亡过程的统计表。
在人口学中，又称“死亡表”和寿命表，是对相当数量的人口自出生（或一定年龄）开始，直至这些人全部去世为止的生存与死亡记录。
通常以10万（或100万）人作为0岁的生存人数，然后根据各年中死亡人数，各年末生存人数计算各年龄人口的死亡率、生存率，列成表格，直至此10万全部死亡为止。
生命表上所记载的死亡率、生存率是决定人寿保险费的重要依据。
是反映一个国家或者一个区域人口生存死亡规律的调查统计表。
即追踪一批人，逐年记录该人群的死亡人数，得到该人群从出生到死亡为止的各年龄死亡率，并进一步构成表格式模型，称为生命表。
生命表分析
• 生命表正是反映在封闭人口条件下一批人从出 生后陆续死亡的全部过程的一种统计表。它是 以各年龄死亡概率为依据，并以此计算出各年 龄的死亡人数，编制出相应的生命表。
• 生命表分析方法不但可用于死亡研究，还可用 于初婚、离婚、再婚、生育、迁移、子女离家 等几乎所有人口过程的研究，因此将其作为人 口统计分析的工具之一重点研究。
规模的要求
• 要注意不是任何地区都可以计算完全生命表。对 于那些人口规模比较小的地区，若按1岁一组分， 某些年龄的死亡人数比较小，甚至会出现某些年 龄死亡人口为0的情况，这样计算的死亡率不具有 一般性或代表性，而是由于随机性产生的特殊情 况。这样的死亡率是没有意义的。因此只有当人 口总量达到一定规模后才可计算完全生命表。
一、生命表的产生和涵义
• 统计学的产生来源于英国的政治算术学派， 而政治算术学派的著名创始人之一格兰特的 代表性著作《关于死亡表的自然的和政治的 观察》一书，不仅对统计学产生具有极大影 响、而且为人口统计学的创立打下了一个良 好的基础。该书首次提出了死亡表的概念， 并且根据大量的实际死亡率资料，以百名出 生婴儿为基础，编制了死亡表。
的生存人数
• ndx ：number dying between ages x and x + n，
(x,x+n)内的死亡人数
• qn x ： probability of dying from age x to age x
+ n，(x,x+n)内的死亡概率
• nLx ： person-years lived between ages x and
L 0.276l 0.724l1
2022中国人口年龄结构图
2022中国人口年龄结构图中国平均寿命将超过77.7岁。
到2022年，中国国民人的平均寿命将超过77.从7岁到2030年，城镇居民的关键健康指数水平已进到高收入地区的行业2022中国人口年龄结构图人口分布如下：0—14岁人口为25338万人，占17.95%15—59岁人口为89438万人，占63.35%;60岁及以上人口为26402万人，占18.70%(其中，65岁及以上人口为19064万人，占13.50%)与2010年相比，0—14岁、15—59岁、60岁及以上人口的比重分别上升1.35个百分点、下降6.79个百分点、上升5.44个百分点。
2021中国人口年龄分布图2021年5月11日，国家统计局公布第七次全国人口普查主要数据显示： 1、0—14岁人口为25338万人，占17.95%;2、15—59岁人口为89438万人，占63.35%;3、60岁及以上人口为26402万人，占18.70%(其中，65岁及以上人口为19064万人，占13.50%)。
与2010年相比，0—14岁、15—59岁、60岁及以上人口的比重分别上升1.35个百分点、下降6.79个百分点、上升5.44个百分点。
我国少儿人口比重回升，生育政策调整取得了积极成效。
同时，人口老龄化程度进一步加深，未来一段时期将持续面临人口长期均衡发展的压力。
其它类型数据分布1、从户别人口来看，全国共有家庭户49416万户，家庭户人口为129281万人;集体户2853万户，集体户人口为11897万人。
2、在人口地区分布方面，东部地区人口占39.93%，中部地区占25.83%，西部地区占27.12%，东北地区占6.98%。
3、在性别构成方面，男性人口为72334万人，占51.24%;女性人口为68844万人，占48.76%。
总人口性别比(以女性为100，男性对女性的比例)为105.07，与2010年基本持平，略有降低。
4、在受教育程度人口方面，具有大学文化程度的人口为21836万人。
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85051
1656931
60岁
84591
1079
84051
1571881
61岁
83512
1081
82971
1487829
62岁
82431
1205
81828
1404858
63岁
81225
1254
80598
1323030
64岁
79971
1416
79263
1242432
65岁
78556
1562
77775
年龄别x
死亡概率
尚存人数
表上死亡人数
平均生存年数
平均生存年数累计
平均预期寿命
0岁
100000
2637
98022
7207440
1岁
97363
242
97139
7109417
2岁
97121
155
97038
7012279
3岁
96966
113
96906
6915241
4岁
96852
84
96808
6818334
5岁
3．尚存人数和表上死亡人数： ，
4．平均生存人年数：
(x=1、2、3、4）
5．平均生存人年数累计：
6．平均预期寿命：
46岁
92180
290
92036
2819578
47岁
91891
318
91731
2727543
48岁
91572
341
91402
2635811
49岁
91231
381
91041
2544409
50岁
90851
442
90630
2453368
51岁
90408
439
90189
2362739
52岁
89969
494
89722
96768
69
96734
6721526
6岁
96700
57
96671
6624792
7岁
96642
52
96616
6528121
8岁
96590
49
96566
6431505
9岁
96541
43
96519
6334939
10岁
96498
43
96476
6238420
11岁
96454
40
96434
6141944
12岁
64469
2769
63085
657600
73岁
61701
2796
60303
594514
74岁
58904
2889
57460
534212
75岁
56016
3007
54512
476752
76岁
53008
3105
51456
422240
77岁
49903
3149
48329
370784
78岁
46754
3357
45076
26岁
95425
100
95375
4701344
27岁
95325
106
95272
4605969
28岁
95219
106
95166
4510697
29岁
95113
111
95058
4415531
30岁
95002
121
94942
4320474
31岁
94881
119
94822
4225532
32岁
94762
128
94698
19岁
96068
76
96030
5371683
20岁
95992
88
95948
5275652
21岁
95904
87
95860
5179704
22岁
95817
94
95770
5083844
23岁
95723
95
95676
4988074
24岁
95628
100
95578
4892398
25岁
95528
103
95476
4796820
1163168
66岁
76994
1587
76200
1085394
67岁
75407
1771
74521
1009193
68岁
73635
1984
72643
934672
69岁
71651
2226
70538
862029
70岁
69425
2481
68185
791491
71岁
66944
2475
65707
723306
72岁
2967
20951
81481
86岁
19468
2733
18101
60530
87岁
16735
2558
15456
42429
88岁
14177
2353
13000
26973
89岁
11824
2115
10766
13973
90岁+
9709
9709
3207
3207
2000年女性人口死亡曲线
计算公式
1．年龄别死亡率：
2．死亡概率：
96415
39
96395
6045509
13岁
96376
40
96356
5949114
14岁
96337
42
96315
5852758
15岁
96294
48
96270
5756442
16岁
96246
51
96221
5660172
17岁
96195
58
96166
5563952
18岁
96137
69
96103
5467785
182
93657
3470725
40岁
93566
205
93464
3377068
41岁
93361
202
93260
3283604
42岁
93159
225
93046
3190344
43岁
ห้องสมุดไป่ตู้92934
229
92819
3097297
44岁
92705
247
92581
3004478
45岁
92457
277
92319
2911897
322455
79岁
43397
3579
41607
277379
80岁
39818
3773
37931
235772
81岁
36045
3546
34272
197840
82岁
32499
3511
30743
163569
83岁
28988
3355
27310
132825
84岁
25633
3199
24034
105515
85岁
22434
4130710
33岁
94634
126
94571
4036012
34岁
94508
136
94440
3941441
35岁
94372
149
94298
3847000
36岁
94223
147
94150
3752703
37岁
94077
161
93996
3658553
38岁
93916
168
93832
3564557
39岁
93748
2272550
53岁
89475
525
89213
2182828
54岁
88950
592
88654
2093615
55岁
88358
637
88040
2004961
56岁
87722
661
87391
1916921
57岁
87061
748
86687
1829530
58岁
86313
802
85912
1742843
59岁
85510