全国人口生命表

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‰。

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 870.02121.370.03117.010.02153.30.04105.60.02185.60.04139.332.7346 880.02174.470.03111.960.01176.50.031160.021630.03130.831.3218 890.01211.860.02124.770.01155.50.02144.90.01189.30.03157.334.9055 90+0.03289.210.07269.870.03253.80.07172.60.03355.20.0823775.4986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 4.270.410.60.59 2.580.46 4.20.6317.120.5121.35城市男10.350.690.30.950.4400.3900.510.960.420.63城市女1628120.25113 20.4200.350.950.5100.42 1.810.59 1.020.440.71镇男969760.25113 30.4300.380.90.5600.4600.61 1.090.49 1.35镇女954470.23791 40.480.090.4200.6 1.330.4900.64 1.640.510.13乡男3794280 50.4400.390.230.600.5100.650.640.510.54乡女3576380.0608 60.5200.4400.6700.550.940.710.370.570.060 70.5200.4500.640.460.5500.710.510.60.610 80.5400.46 1.30.6500.5700.750.660.6500.34365 90.5400.460.080.720.150.610.170.820.70.690.220.02115 100.5800.510.710.720.740.630.460.840.780.720.990.18769 110.560.540.5 1.170.7600.6900.910.370.780.440.30929 120.5800.540.510.770.360.65 1.580.970.150.850.330.13482 130.600.560.540.82 1.470.710.59 1.020.360.930.480.14275 140.7400.690 1.050.970.930 1.290.86 1.180.660 150.760.10.7800.97 1.110.920 1.211 1.090.91500.440.640 160.790.220.7600.9600.90.11 1.07 1.120.960.56160 1.29 1.560 170.810.620.890.210.9900.970 1.060.910.970.24170.47 2.46 4.180.05551 180.730.260.750.090.820.870.7400.890.670.780.9118 2.44 5.0510.80.02379 190.600.630.50.5600.5300.7 1.50.61 1.0919 6.7814.0629.450.13217 200.5600.600.520.220.500.66 1.10.620.662023.8345.5772.740 210.60.470.67 1.120.4700.5200.61 1.140.590.212139.7995.33140.40.29607 220.750.630.8300.590.430.63 1.270.68 1.340.690.162260.56124.47173.840 230.680.430.750.910.5700.620.840.630.820.630.492395.77132.18183.980.24056 240.62 1.810.710.570.5600.6800.61 1.290.640.9124117.78145.38170.560.15068 250.6900.820.060.660.10.7400.65 2.330.640.7925123.85155.05147.650.01586 260.720.980.830.450.670.710.7900.67 1.710.630.4226123.66134.74132.760.11896 270.670.760.7700.6500.7900.61 1.070.57 2.0527108.12101.74110.020 280.810.980.880.720.85 1.810.87 1.650.71 1.720.670.82886.5483.1794.230.19033 290.78 1.420.880.190.800.8800.7 1.990.68 2.142966.3865.3683.50.05023 300.890.410.970.130.890.510.98 1.520.84 2.830.8 1.853049.3952.1872.430.03437 310.990.180.990.560.96 2.110.960.30.82 1.910.78 1.423136.7750.0763.580.14804 32 1.010.83 1.060 1.010 1.0700.89 1.590.850.943226.5541.0352.37033 1.04 2.01 1.060.78 1.050.99 1.0700.92 2.160.9 1.283321.5126.8238.490.2061934 1.12 1.21 1.150.51 1.140.27 1.2101 2.311 1.143417.5416.3331.990.1348235 1.04 1.04 1.060.16 1.080 1.03 1.930.93 1.690.960.763511.1712.1721.850.042336 1.120.27 1.090 1.160.53 1.180.89 1.07 1.73 1.06 1.32367.812.6114.970 370.830.340.82 1.380.880.790.940.790.85 1.320.860.8837 6.269.1110.310.3648 380.950.840.94 1.1 1.050.92 1.08 1.010.99 3.140.97 1.4338 5.117.860.2907839 1.02 2.560.970.66 1.1 1.68 1.05 1.070.95 3.740.91 2.0639 4.33 5.9 4.540.1744740 1.09 1.31 1.08 1.03 1.13 1.72 1.06 3.370.91 2.080.92 1.8940 2.95 2.38 3.620.2722841 1.28 1.59 1.26 1.35 1.23 1.39 1.23 2.49 1.01 3.7 1.02 1.5141 1.610.69 2.710.35687 420.92 1.240.90.090.92 4.890.9200.79 3.240.79 2.07420.90.22 2.080.02379 430.570.70.570.070.49 5.30.44 1.590.43 3.620.440.84430 1.22 1.260.0185 440.77 3.970.74 1.410.58 4.070.58 4.560.54 3.20.52 1.954400.86 1.520.37273 450.68 4.040.67 3.190.560.840.52 4.470.51 2.730.48 2.5145000.750.84327 460.88 3.970.84 1.690.76 3.780.72 3.840.68 3.260.64 1.85460.130.630.120.44675 470.9 2.40.9 2.450.80.940.81 1.930.76 4.740.72 2.14470.130.620.430.64766 480.8 2.330.830.570.73 3.720.7400.7 5.420.73 4.55480.050.260.840.15068 490.82 1.650.86 1.660.76 4.050.730.820.76 5.970.72 2.6490.140.250.810.43882 500.88 4.870.9 1.80.78 4.320.78 3.960.78 6.090.75 3.550.47583 510.74 3.770.79 1.220.68 4.910.710.430.717.070.67 5.170.32251 520.75 5.720.76 3.90.66 3.710.69 2.950.739.120.7 3.21 1.03096 530.65 6.080.63 4.490.6 2.30.56 1.840.64 6.530.59 4.32 1.18693 540.67 6.20.63 5.560.568.640.53 3.530.619.190.58 3.51 1.46978 550.6 6.530.66 1.720.612.140.587.540.619.320.557.540.45468 560.527.820.52 1.090.488.390.47 5.890.538.060.49 5.370.28814 570.51 6.350.52 4.930.479.090.47 1.850.59.540.48 6.79 1.30324 580.4713.170.49 5.190.487.990.43 6.060.4820.750.437.69 1.37197 590.4 6.830.438.130.412.850.39 2.720.4215.240.410.55 2.14916 600.41 6.390.44 5.620.4 3.730.4213.870.4515.60.410.09 1.48564 610.39 5.850.41 4.280.3510.390.369.240.3920.070.3613.54 1.13142 620.397.090.429.380.3716.090.33 3.230.3720.340.347.73 2.4796 630.3916.450.411.540.3614.320.3210.180.3822.380.3513.66 3.05059 640.3914.380.4210.250.3711.550.34 6.170.3622.070.3212.35 2.70958 650.3316.760.388.150.2815.070.311.850.3119.720.2819.95 2.15445 660.379.840.41 4.460.3317.270.3417.250.3424.820.3219.8 1.179 670.3718.090.3614.310.319.20.2913.150.3323.370.315.8 3.78284 680.3429.450.389.110.2920.030.289.730.3230.550.320.14 2.40822 690.3323.460.3518.040.2845.70.310.280.2932.420.2822.02 4.76886 700.3426.580.3418.040.2530.470.2813.420.341.870.2926.91 4.76886 710.3130.230.3117.250.2838.420.2830.180.2839.510.2823.64 4.56003 720.2828.380.2616.120.2444.860.2440.180.2443.690.2533.32 4.26131 730.2526.650.2214.070.2141.660.2147.250.2255.590.2435.35 3.7194 740.2555.630.24 5.780.2231.980.2260.40.2264.770.2447.34 1.52794 750.227.250.1838.890.1827.260.1837.30.1772.190.1945.9210.2805760.1841.450.1741.390.1750.190.1927.30.1760.430.248.6810.9414 770.1551.560.1536.90.1450.420.1341.730.1569.520.1664.919.75449 780.1358.170.1534.080.122.150.1270.430.1396.930.1457.979.00903 790.175.090.1238.390.0953.230.1362.030.11105.20.1453.9910.1484 800.190.640.1343.660.0936.790.1353.040.1197.310.1494.0511.5415 810.0864.040.134.950.0764.720.1115.20.08137.90.1168.879.23901 820.0769.10.0849.110.07706.30.0858.210.06116.10.1100.812.9822 830.06105.910.0780.530.06174.80.0845.910.06124.10.09104.421.2881 840.0465.110.0683.430.0430.870.0581.650.05223.70.07121.822.0547 850.04167.10.05108.620.02400.10.0646.710.03161.40.0513028.7136 860.0368.820.05112.040.02227.60.0582.220.03118.40.0587.1229.6177 870.02217.940.0389.650.0277.360.03105.40.02157.90.04151.623.6989 880.02246.190.0230.880.02201.60.02209.20.02257.20.03155.28.16311 890.01140.810.0253.530.01135.90.02145.70.01282.70.02225.414.1506 90+0.04208.270.06226.570.03187.20.09169.60.04316.90.0719159.8936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200.4 3.250.367.310.558.60.4816.590.6620.190.5520.01城市男10.3900.3400.4700.4100.53 2.360.42 2.56城市女1642870 20.400.37 1.170.5300.45 1.250.6 1.370.5 2.44镇男971640.31148 30.440.390.400.58 1.680.48 1.130.64 1.140.54 1.45镇女946610 40.4300.3800.60.980.51 1.280.65 1.090.530.08乡男3825760 50.4900.420.310.6500.580.490.760.770.640.14乡女3581500.08253 60.480.970.4500.69 1.160.5600.770.530.61 1.260 70.50.260.430.650.730.230.6100.790.760.68 1.050.17305 80.5400.4600.7700.6300.890.830.7600 90.5400.4700.760.720.6300.860.850.720.940 100.580.60.520.60.79 1.30.7100.970.440.850.220.15974 110.5500.5300.800.70.90.930.220.820.590 120.5700.5300.820.510.750 1.020.350.90.610 130.70.420.670.41 1.070.130.95 2.3 1.250.46 1.150.990.10915 140.750.090.70 1.050.480.930 1.230.38 1.110.330 150.750.640.7201 2.050.880 1.11 1.36 1.020.39150.010.110.050 160.7800.810 1.020.590.890 1.190.74 1.070.34160.040.060.110 170.7500.730.220.94 4.440.7800.9610.860.56170.080.170.320.05857 180.680.160.6600.7 1.450.65 1.250.83 1.390.71 1.05180.180.710.970 190.620.10.660.090.60.810.5300.72 1.020.64 1.15190.7 1.62 2.860.02396 200.650.450.6800.560.560.5600.69 2.280.630.5620 1.86 4.77.830 210.760.430.780.20.620.780.63 1.630.76 1.390.67 1.4121 3.739.5313.620.05325 220.670.070.680.510.54 2.420.6 1.060.670.880.660.7222 6.1812.8217.720.13577 230.6500.680.350.59 1.290.66 2.750.67 1.370.67 2.15238.9414.9718.650.09318 240.710.110.7700.7 2.890.750.660.7 1.520.69 1.162411.3716.0117.980250.7500.800.7100.780.710.72 1.480.69 1.612511.5114.8116.080 260.710.460.730.850.7100.760.350.63 2.940.60.622610.6512.6512.990.22629 270.8 1.280.840.60.84 1.340.880.60.760.860.7 1.63279.9110.1610.80.15974 280.7700.840.050.8200.930.340.77 1.990.730.52287.538.029.070.01331 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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：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。

中国人口2022据了解，中国2022人口统计数据显示，全国人口共141178万人(14.1178亿人)，与2010年第六次人口普查的133972万人(13.3972亿人)相比，增加了7206万人，增长5.38%，年平均增长率为0.53%。

中国2022年男女比例是2比1.6。

2022年1月17日，国家统计局发布数据，男性人口72311万人，女性人口68949万人，总人口性别比为104.88(以女性为100)。

全年出生人口1062万人，人口出生率为7.52‰;死亡人口1014万人，人口死亡率为7.18‰;人口自然增长率为0.34‰。

男女比例最失衡的城市从性别结构来看，“男多女少”最严重的分别是东莞和深圳，性别比分别为130.06和122.43，其次是佛山和广州，性别比分别为119.12和111.98。

性别比最低的是大连、沈阳和哈尔滨，性别比分别为99.19、99.38和100.09，男女性别比基本保持平衡。

中国人口变动的七个趋势趋势一：14亿人口零增长，努力实现人口规模巨大的现代化。

中国大陆总人口2017年突破14亿，2020年14.12亿人。

“十四五”及中长期总人口将相继经历零增长、负增长。

2035年前都在14亿人左右。

人口是我国发展潜力、发展韧性的基础性因素。

联合国预测，印度总人口将在2023年超过中国。

但是，中国的城镇化水平、劳动力素质、人均产出均高于印度。

趋势二：出生人口进入1000万平台期，应积极推动实现适度生育水平。

中国年度出生人口，2020年1202万，2021年降至1062万。

“十四五”及中长期实施积极生育支持措施，促进生育友好，出生人口到2035年乃至更长时间将在1000万左右波动。

趋势三：劳动年龄人口9亿以上，素质提升，挖掘人力资本新红利空间巨大。

中国15-64岁劳动年龄人口，2020年为9.68亿，2035年在9亿以上，比目前欧洲人口总数多1.5亿人，接近美国现在总人口的2.7倍。

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。

中国新出生人口统计表【原创实用版】目录1.中国新出生人口统计概述2.2019 年中国出生人口统计数据3.2019 年中国出生人口的特点4.中国出生人口历年统计数据5.全面两孩政策取得的成效6.面临的人口问题及建议正文一、中国新出生人口统计概述据统计局数据显示，中国新出生人口在 2019 年达到 1465 万人，这一数字较 2018 年有所下降。

2019 年末，中国大陆总人口为 14.0005 亿人，比上年末增加 467 万人。

全年出生人口 1,465 万人，出生率为10.48，死亡人口 998 万人，死亡率为 7.14；人口自然增长率为 3.34。

二、2019 年中国出生人口统计数据2019 年中国出生人口为 1465 万人，比 2018 年减少 58 万人。

这是自 2017 年以来，中国新生儿数量连续 3 年下降。

2019 年出生人口中，二孩及以上孩次的比例达到 59.5%。

三、2019 年中国出生人口的特点1.新生儿数量下降：2019 年中国新生儿数量为 1465 万人，比 2018 年减少 58 万人，出生率也从 2018 年的 10.94 下降到 2019 年的10.48。

2.二孩占比增加：2019 年，二孩及以上孩次的比例达到 59.5%，这意味着全面二孩政策取得了积极成效。

四、中国出生人口历年统计数据根据国家统计局数据，中国出生人口历年统计数据如下：- 2016 年：1800 万人- 2017 年：1700 万人- 2018 年：1523 万人- 2019 年：1465 万人五、全面两孩政策取得的成效全面两孩政策自 2016 年实施以来，取得了积极成效。

宁吉喆表示，全面两孩政策使得二孩出生人数大幅增加，2016 年、2017 年出生人口分别超过 1800 万人、1700 万人。

六、面临的人口问题及建议尽管全面两孩政策取得了一定成效，但中国仍面临人口结构老化、劳动力减少等问题。

为此，有专家建议，应进一步放宽生育政策，鼓励生育，以保持人口可持续发展。

第七次全国人口普查死亡人口调查表
（2019年11月1日至2020年10月31日死亡的人口登记）
经国务院批准进行第七次全国人口普查表号：R604表人口普查的标准时点为2020年11月1日零时制定机关：国家统计局人口普查的原始资料不向任何单位和个人提供，国务院人口普查办公室仅供汇总使用批准文号：国发﹝2019﹞24号公民应履行如实申报普查项目的义务有效期至：2021年3月
地址：_____省（区、市）_____市（地、州、盟）_____县（市、区、旗）_____
乡（镇、街道）_____普查区_____普查小区_____户编号
每个死亡人口都登记的项目
S1. 姓名
_______
S2. 公民身份号码
□□□□□□□□□□□□□□□□□□
S3. 性别
1. 男
2. 女
S4. 出生年月
出生于：_______年_______月
S5. 死亡时间
死亡于：_______月
S6. 民族
_______族
死亡时满3周岁的人登记的项目
S7. 受教育程度
1. 未上过学
2. 学前教育
3. 小学
4. 初中
5. 高中
6. 大学专科
7. 大学本科
8. 硕士研究生
9. 博士研究生
死亡时满15周岁的人登记的项目S8. 婚姻状况
1. 未婚
2. 有配偶
3. 离婚
4. 丧偶。

第七次全国人口普查公报(第五号)（一）引言概述:第七次全国人口普查公报（第五号）是国家统计局发布的关于中国人口普查的重要数据和结果的公告。

本文将从五个大点出发，详细阐述了人口普查相关的内容。

正文内容:1. 人口总量：- 中国第七次人口普查的结果显示，截至2020年底，中国大陆人口总量为14.93亿，较上一次人口普查增加了约5500万人。

- 人口增长率持续放缓，这是自上世纪80年代以来的趋势，主要受到生育率下降和人口老龄化的影响。

2. 人口结构：- 人口结构发生了显著变化，老年人口比例持续上升，年轻劳动力人口比例下降。

- 户籍人口和非户籍人口比例差距缩小，城市化进程带动了农业人口向城市迁移。

3. 多元家庭形态：- 传统的核心家庭结构逐渐多样化，单亲家庭和小家庭比例上升。

- 储蓄家庭和养老家庭比例增加，反映了中国社会的家庭结构变化。

4. 婚姻与生育：- 结婚年龄推后和单身比例上升，显示了年轻人对婚姻观念的转变。

- 生育率持续下降，独生子女家庭比例增加，人口年龄结构呈现扩大中年龄段和收缩年轻人口的特征。

5. 人口分布与城市化：- 人口分布更加均衡，中西部地区人口增长快于东部地区。

- 城市化进程加快，一二线城市和特大城市的人口比例增加，同时县级行政区的城镇化率也在提高。

总结:第七次全国人口普查公报（第五号）发布了中国人口普查的重要数据和结果。

人口总量增加、结构变化和多元化家庭形态是本次普查的主要特点。

婚姻与生育方面的变化以及人口分布与城市化趋势也值得重视。

这些数据将为政府制定人口政策和社会发展规划提供参考，对于推进国家发展和民生改善具有重要意义。

60 70 80 90 人口数量
60后23511万人，70后21900万人，80后22800万人，90后17500万。

据第七次全国人口普查结果显示，全国人口共有141178万人次，其中中国0-14周岁人口占17.95%，15-59周岁人口占63.35%，60周岁以上人口占18.7%，65周岁以上人口占13.5%。

按照目前的统计结果显示，中国已经进入严重的老龄化社会。

其中男性人口占51.24%，女性人口占48.76%。

人口年龄结构可分为3种年龄结构类型，即年轻型、成年型和老年型。

人口老龄化的原因
2020年中国出生人口1200万人，人口出生率为8.50‰，相比2019年，减少了265万人，出生率也下降了1.98‰。

2021年中国出生人口1062万人，比2020年减少140万人，人口出生率为7.52‰，比2020年下降1.00个千分点。

2021年中国出生人口和出生率双双创下1949年以来新低，并且出生率和死亡率很接近，总人口接近零增长。

如果不采取措施，2022年中国人口就会出现负增长。

2023中国人口平均寿命是多少2023中国人口平均寿命是多少？相信大家都很想知道是多少，我国已进入了长寿时代，人均寿命已经大大提升，下面给大家分享关于2023中国人口平均寿命是多少，欢迎阅读!2023中国人口平均寿命2023年中国人平均寿命是77岁。

2023年全国各省人均寿排名，从高到低为：上海80.26岁、北京80.18岁、天津78.89岁、浙江77.73岁、江苏76.63岁、广东76.49岁、山东76.46岁、辽宁76.38岁、海南76.30岁、吉林76.18岁、黑龙江75.98岁、福建75.76岁、重庆75.70岁。

2023中国人口下降多少报告显示，如果不采取实质生育减负政策，中国总人口2100年将降至4.79亿，新出生人口为世界新出生人口的0.89%。

而2023年，根据预测，中国出生人口将降至900万左右。

2023中国人口负增长多少2023年人口负增长1200万人。

根据2345实用查询网显示，2023年人口负增长为0.0677%，共1200万人，2022年，中国人口出现近61年来的首次人口负增长。

人口负增长是指总人口数量开始减少这一标志性转变，其源于生育率的下降。

人口负增长人口问题到底会带来哪些影响呢?我国过去40多年经济发展，得益于人口红利(劳动力数量的增长)促进了经济发展。

现在人口负增长，意味着人口红利消失了，我国创新能力与年轻人的比例息息相关。

老龄化将影响创新创业的能力。

而生育抚养是需要巨大的成本。

支付周期也非常漫长，还没有明显的回报率。

生育率下降是大趋势。

全球都是如此。

即使回升也很难逆转到以前水平。

人口年龄结构从我国年龄结构来看。

无论未来生育率怎么变。

老龄程度都将逐渐加重。

到2035年。

平均每4个人里面。

就会有一个65岁以上的老人。

进入重度老龄化阶段。

养老的压力是巨大的。

这从近几年养老金的缺口就能看出来。

我们需要认清形势，提前做好准备。

因为生育率下跌和负增长。

以及老龄带来的影响，最终会到我们个人。