Life Expectancy in China vs Saint Vincent (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Saint Vincent

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Saint Vincent
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	101.9	101.8	102
99	101	100.6	101.1	101	100.9	101.1
98	100.1	99.6	100.2	100.1	100	100.1
97	99.3	98.7	99.4	99.2	99.1	99.3
96	98.4	97.9	98.6	98.4	98.3	98.4
95	97.6	97.1	97.8	97.5	97.4	97.5
94	96.8	96.3	97	96.6	96.5	96.7
93	96	95.5	96.2	95.8	95.7	95.9
92	95.3	94.7	95.5	95	94.8	95.1
91	94.6	94	94.9	94.2	94	94.3
90	93.9	93.3	94.2	93.4	93.2	93.6
89	93.2	92.6	93.6	92.7	92.4	92.8
88	92.6	91.9	93	91.9	91.7	92.1
87	92	91.3	92.4	91.2	90.9	91.4
86	91.4	90.6	91.8	90.5	90.2	90.7
85	90.8	90	91.3	89.8	89.4	90.1
84	90.2	89.4	90.7	89.1	88.7	89.4
83	89.6	88.8	90.2	88.5	88	88.8
82	89.1	88.2	89.8	87.8	87.3	88.2
81	88.6	87.7	89.3	87.2	86.7	87.7
80	88.1	87.2	88.9	86.6	86	87.1
79	87.7	86.7	88.5	86	85.4	86.6
78	87.3	86.2	88.2	85.5	84.8	86.1
77	86.9	85.8	87.8	85	84.2	85.6
76	86.5	85.3	87.5	84.4	83.6	85.2
75	86.2	84.9	87.2	83.9	83.1	84.8
74	85.8	84.5	86.9	83.5	82.5	84.4
73	85.5	84.1	86.7	83	82	84
72	85.2	83.7	86.4	82.6	81.5	83.6
71	84.9	83.4	86.1	82.1	81	83.2
70	84.6	83	85.9	81.7	80.5	82.9
69	84.3	82.7	85.7	81.3	80.1	82.6
68	84	82.4	85.5	80.9	79.6	82.3
67	83.8	82.1	85.4	80.6	79.2	82
66	83.6	81.8	85.2	80.2	78.8	81.7
65	83.3	81.5	85	79.9	78.4	81.5
64	83.1	81.3	84.9	79.5	78	81.2
63	82.9	81	84.7	79.2	77.7	81
62	82.7	80.8	84.6	78.9	77.3	80.7
61	82.5	80.6	84.5	78.6	77	80.5
60	82.4	80.4	84.3	78.3	76.6	80.3
59	82.2	80.2	84.2	78.1	76.3	80.1
58	82.1	80	84.2	77.8	76	79.9
57	82	79.8	84.1	77.6	75.7	79.7
56	81.8	79.7	84	77.3	75.5	79.5
55	81.7	79.5	83.9	77.1	75.2	79.3
54	81.6	79.4	83.8	76.9	74.9	79.1
53	81.5	79.2	83.7	76.7	74.7	79
52	81.4	79.1	83.7	76.5	74.5	78.8
51	81.3	79	83.6	76.3	74.3	78.6
50	81.2	78.9	83.5	76.1	74.1	78.5
49	81.1	78.8	83.5	76	74	78.3
48	81	78.7	83.4	75.8	73.8	78.2
47	81	78.6	83.4	75.7	73.7	78
46	80.9	78.5	83.3	75.5	73.5	77.9
45	80.8	78.4	83.3	75.4	73.4	77.8
44	80.8	78.3	83.2	75.3	73.2	77.7
43	80.7	78.3	83.2	75.1	73.1	77.6
42	80.6	78.2	83.1	75	72.9	77.5
41	80.6	78.1	83.1	74.9	72.8	77.4
40	80.5	78.1	83.1	74.8	72.6	77.3
39	80.5	78	83	74.7	72.5	77.2
38	80.5	78	83	74.6	72.4	77.1
37	80.4	77.9	83	74.5	72.3	77
36	80.4	77.9	83	74.4	72.2	76.9
35	80.4	77.8	82.9	74.3	72.1	76.9
34	80.3	77.8	82.9	74.2	72	76.8
33	80.3	77.8	82.9	74.1	71.9	76.7
32	80.2	77.7	82.8	74	71.7	76.7
31	80.2	77.7	82.8	73.9	71.6	76.6
30	80.2	77.6	82.8	73.8	71.5	76.6
29	80.1	77.6	82.8	73.7	71.4	76.5
28	80.1	77.6	82.7	73.6	71.3	76.5
27	80.1	77.5	82.7	73.6	71.2	76.4
26	80	77.5	82.7	73.5	71.1	76.3
25	80	77.4	82.7	73.4	71	76.3
24	80	77.4	82.6	73.4	70.9	76.3
23	79.9	77.4	82.6	73.3	70.8	76.2
22	79.9	77.3	82.6	73.2	70.7	76.2
21	79.9	77.3	82.6	73.2	70.7	76.2
20	79.8	77.3	82.5	73.1	70.6	76.1
19	79.8	77.2	82.5	73	70.5	76.1
18	79.8	77.2	82.5	73	70.4	76
17	79.8	77.2	82.5	72.9	70.3	76
16	79.8	77.2	82.5	72.9	70.3	76
15	79.7	77.1	82.4	72.8	70.2	75.9
14	79.7	77.1	82.4	72.8	70.2	75.9
13	79.7	77.1	82.4	72.8	70.1	75.9
12	79.7	77.1	82.4	72.7	70.1	75.9
11	79.7	77	82.4	72.7	70.1	75.8
10	79.6	77	82.4	72.7	70.1	75.8
9	79.6	77	82.4	72.7	70.1	75.8
8	79.6	77	82.3	72.7	70	75.8
7	79.6	77	82.3	72.7	70	75.8
6	79.6	76.9	82.3	72.6	70	75.8
5	79.6	76.9	82.3	72.6	70	75.7
4	79.5	76.9	82.3	72.6	69.9	75.7
3	79.5	76.9	82.2	72.6	69.9	75.7
2	79.5	76.9	82.2	72.5	69.9	75.7
1	79.5	76.8	82.2	72.5	69.9	75.6
0	79	76.4	81.8	71.7	69	74.8

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in China can expect to live to 80.2 years compared to 73.8 in Saint Vincent, rising to 83.3 and 79.9 at 65, and to 88.1 and 86.6 at 80 — higher than the 79 and 71.7 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in China and Saint Vincent.

Probability of surviving to a given age

Chart Table

China

Male

Female

Saint Vincent

Male

Female

1x

Age	Survival probability
	China			Saint Vincent
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.25%	0.13%	0.41%
99	1.33%	0.38%	2.27%	0.41%	0.22%	0.66%
98	2.06%	0.72%	3.42%	0.64%	0.34%	1.02%
97	3.08%	1.24%	4.95%	0.96%	0.53%	1.54%
96	4.43%	2%	6.91%	1.42%	0.8%	2.24%
95	6.17%	3.05%	9.37%	2.03%	1.16%	3.17%
94	8.32%	4.42%	12.3%	2.82%	1.65%	4.36%
93	10.9%	6.13%	15.8%	3.83%	2.3%	5.85%
92	13.7%	8.19%	19.4%	5.08%	3.12%	7.66%
91	16.8%	10.6%	23.3%	6.57%	4.13%	9.78%
90	20.2%	13.3%	27.4%	8.32%	5.34%	12.2%
89	23.8%	16.3%	31.6%	10.3%	6.78%	15%
88	27.5%	19.5%	35.8%	12.6%	8.43%	18%
87	31.4%	23%	40.2%	15.1%	10.3%	21.2%
86	35.4%	26.6%	44.5%	17.8%	12.4%	24.6%
85	39.4%	30.3%	48.8%	20.6%	14.7%	28.2%
84	43.3%	34.1%	52.9%	23.6%	17.2%	31.8%
83	47.2%	37.9%	56.8%	26.7%	19.8%	35.5%
82	51%	41.7%	60.5%	29.9%	22.6%	39.1%
81	54.5%	45.3%	64%	33.1%	25.5%	42.7%
80	57.8%	48.8%	67.1%	36.4%	28.4%	46.1%
79	60.9%	52.2%	70%	39.6%	31.5%	49.5%
78	63.8%	55.3%	72.5%	42.7%	34.5%	52.7%
77	66.5%	58.3%	74.9%	45.8%	37.5%	55.8%
76	69%	61.2%	77%	48.8%	40.5%	58.7%
75	71.3%	63.9%	79%	51.6%	43.5%	61.4%
74	73.5%	66.4%	80.8%	54.4%	46.4%	63.9%
73	75.6%	68.9%	82.5%	57%	49.3%	66.3%
72	77.5%	71.1%	84%	59.6%	52.1%	68.5%
71	79.3%	73.3%	85.5%	62%	54.8%	70.5%
70	80.9%	75.3%	86.7%	64.3%	57.3%	72.4%
69	82.4%	77.1%	87.8%	66.4%	59.8%	74.2%
68	83.7%	78.8%	88.8%	68.5%	62.2%	75.8%
67	84.9%	80.4%	89.6%	70.4%	64.5%	77.3%
66	86.1%	82%	90.5%	72.3%	66.6%	78.7%
65	87.2%	83.4%	91.2%	74%	68.7%	80.1%
64	88.3%	84.8%	91.9%	75.6%	70.6%	81.3%
63	89.2%	86%	92.6%	77.1%	72.5%	82.4%
62	90.1%	87.1%	93.1%	78.6%	74.2%	83.5%
61	90.8%	88.1%	93.6%	79.9%	75.8%	84.5%
60	91.5%	89%	94.1%	81.2%	77.4%	85.4%
59	92.1%	89.8%	94.5%	82.3%	78.8%	86.3%
58	92.6%	90.5%	94.8%	83.5%	80.2%	87.1%
57	93.1%	91.2%	95.1%	84.5%	81.4%	87.9%
56	93.5%	91.8%	95.4%	85.5%	82.6%	88.6%
55	94%	92.4%	95.7%	86.4%	83.7%	89.2%
54	94.4%	92.9%	95.9%	87.2%	84.7%	89.8%
53	94.8%	93.4%	96.2%	88%	85.7%	90.4%
52	95.1%	93.9%	96.4%	88.7%	86.5%	91%
51	95.4%	94.3%	96.6%	89.4%	87.3%	91.6%
50	95.7%	94.7%	96.8%	89.9%	87.9%	92.1%
49	96%	95.1%	97%	90.5%	88.5%	92.6%
48	96.2%	95.4%	97.1%	91%	89%	93.1%
47	96.4%	95.7%	97.3%	91.4%	89.4%	93.6%
46	96.6%	95.9%	97.4%	91.9%	89.9%	93.9%
45	96.8%	96.1%	97.5%	92.2%	90.4%	94.3%
44	97%	96.4%	97.6%	92.6%	90.9%	94.6%
43	97.1%	96.6%	97.7%	93%	91.3%	94.8%
42	97.3%	96.7%	97.8%	93.4%	91.8%	95.1%
41	97.4%	96.9%	97.9%	93.7%	92.3%	95.3%
40	97.5%	97%	98%	94%	92.7%	95.5%
39	97.6%	97.2%	98.1%	94.3%	93%	95.8%
38	97.7%	97.3%	98.1%	94.6%	93.3%	96%
37	97.8%	97.4%	98.2%	94.9%	93.6%	96.2%
36	97.9%	97.5%	98.3%	95.1%	93.9%	96.4%
35	97.9%	97.6%	98.3%	95.3%	94.2%	96.6%
34	98%	97.7%	98.4%	95.5%	94.4%	96.7%
33	98.1%	97.8%	98.4%	95.7%	94.7%	96.9%
32	98.2%	97.9%	98.5%	96%	95%	97%
31	98.2%	98%	98.5%	96.2%	95.3%	97.1%
30	98.3%	98%	98.6%	96.4%	95.6%	97.2%
29	98.4%	98.1%	98.6%	96.6%	95.9%	97.4%
28	98.4%	98.2%	98.7%	96.8%	96.1%	97.5%
27	98.5%	98.3%	98.7%	97%	96.4%	97.6%
26	98.6%	98.4%	98.8%	97.1%	96.5%	97.7%
25	98.6%	98.4%	98.8%	97.2%	96.7%	97.8%
24	98.7%	98.5%	98.9%	97.4%	96.9%	97.8%
23	98.7%	98.6%	98.9%	97.5%	97.1%	97.9%
22	98.8%	98.7%	99%	97.6%	97.2%	98%
21	98.8%	98.7%	99%	97.7%	97.4%	98%
20	98.9%	98.8%	99%	97.8%	97.5%	98.1%
19	98.9%	98.8%	99.1%	97.9%	97.7%	98.2%
18	99%	98.9%	99.1%	98.1%	97.9%	98.3%
17	99%	98.9%	99.1%	98.2%	98%	98.3%
16	99%	98.9%	99.1%	98.2%	98.1%	98.4%
15	99.1%	99%	99.2%	98.3%	98.2%	98.4%
14	99.1%	99%	99.2%	98.4%	98.3%	98.5%
13	99.1%	99%	99.2%	98.4%	98.3%	98.5%
12	99.1%	99.1%	99.2%	98.5%	98.4%	98.5%
11	99.2%	99.1%	99.2%	98.5%	98.4%	98.6%
10	99.2%	99.1%	99.3%	98.5%	98.5%	98.6%
9	99.2%	99.2%	99.3%	98.6%	98.5%	98.6%
8	99.3%	99.2%	99.3%	98.6%	98.5%	98.7%
7	99.3%	99.2%	99.3%	98.6%	98.5%	98.7%
6	99.3%	99.3%	99.4%	98.6%	98.6%	98.7%
5	99.3%	99.3%	99.4%	98.7%	98.6%	98.7%
4	99.3%	99.3%	99.4%	98.7%	98.6%	98.7%
3	99.4%	99.3%	99.4%	98.7%	98.7%	98.8%
2	99.4%	99.4%	99.5%	98.8%	98.7%	98.8%
1	99.5%	99.4%	99.5%	98.8%	98.8%	98.9%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 81.2% in Saint Vincent are expected to live past 60, 80.9% and 64.3% past 70, 57.8% and 36.4% past 80, and only 20.2% and 8.32% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

China

Male

Female

Saint Vincent

Male

Female

1x

Age	Probability of dying
	China			Saint Vincent
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	39.8%	40.6%	39.5%
99	38.1%	51.3%	36.1%	37.9%	38.8%	37.5%
98	35.7%	46.6%	33.6%	35.9%	37%	35.4%
97	33.1%	42.1%	30.9%	34%	35.2%	33.4%
96	30.5%	38.1%	28.4%	32%	33.4%	31.4%
95	28.2%	34.3%	26.2%	30.1%	31.6%	29.4%
94	25.9%	31%	24.1%	28.2%	29.8%	27.4%
93	23.4%	27.9%	21.7%	26.4%	28%	25.4%
92	20.8%	25.2%	19%	24.5%	26.2%	23.5%
91	18.5%	22.6%	16.6%	22.7%	24.5%	21.7%
90	16.7%	20.4%	14.9%	21.1%	22.8%	20%
89	15.1%	18.4%	13.3%	19.5%	21.2%	18.3%
88	13.6%	16.6%	11.9%	18%	19.6%	16.8%
87	12.4%	15%	10.8%	16.5%	18.2%	15.3%
86	11.2%	13.6%	9.72%	15.1%	16.9%	13.9%
85	10.1%	12.3%	8.73%	13.9%	15.6%	12.6%
84	9.17%	11.2%	7.82%	12.7%	14.4%	11.4%
83	8.24%	10.1%	6.95%	11.6%	13.3%	10.3%
82	7.35%	9.03%	6.12%	10.6%	12.3%	9.27%
81	6.51%	8.06%	5.36%	9.7%	11.3%	8.36%
80	5.75%	7.17%	4.67%	8.87%	10.4%	7.53%
79	5.09%	6.39%	4.07%	8.1%	9.58%	6.78%
78	4.52%	5.71%	3.56%	7.37%	8.81%	6.1%
77	4.03%	5.14%	3.15%	6.68%	8.1%	5.48%
76	3.62%	4.65%	2.8%	6.08%	7.44%	4.92%
75	3.27%	4.23%	2.5%	5.57%	6.84%	4.42%
74	2.98%	3.86%	2.25%	5.09%	6.29%	3.96%
73	2.69%	3.5%	2.02%	4.64%	5.79%	3.57%
72	2.45%	3.19%	1.81%	4.24%	5.33%	3.21%
71	2.26%	2.96%	1.66%	3.89%	4.9%	2.9%
70	2.04%	2.7%	1.47%	3.56%	4.51%	2.63%
69	1.76%	2.36%	1.22%	3.26%	4.15%	2.38%
68	1.58%	2.14%	1.08%	3%	3.82%	2.16%
67	1.48%	2.01%	1%	2.75%	3.52%	1.96%
66	1.37%	1.86%	0.91%	2.52%	3.24%	1.78%
65	1.26%	1.72%	0.83%	2.32%	2.99%	1.64%
64	1.17%	1.59%	0.76%	2.15%	2.75%	1.51%
63	1.06%	1.45%	0.69%	1.99%	2.54%	1.4%
62	0.95%	1.3%	0.61%	1.83%	2.34%	1.29%
61	0.83%	1.14%	0.53%	1.68%	2.15%	1.19%
60	0.73%	1%	0.46%	1.55%	1.98%	1.09%
59	0.64%	0.88%	0.41%	1.43%	1.83%	1.01%
58	0.57%	0.78%	0.36%	1.33%	1.68%	0.93%
57	0.52%	0.71%	0.33%	1.23%	1.55%	0.86%
56	0.48%	0.66%	0.31%	1.13%	1.43%	0.79%
55	0.45%	0.62%	0.29%	1.04%	1.32%	0.73%
54	0.43%	0.59%	0.27%	0.96%	1.21%	0.67%
53	0.41%	0.55%	0.26%	0.89%	1.12%	0.65%
52	0.38%	0.51%	0.24%	0.82%	0.99%	0.63%
51	0.34%	0.46%	0.22%	0.73%	0.85%	0.61%
50	0.3%	0.41%	0.19%	0.66%	0.72%	0.59%
49	0.27%	0.36%	0.17%	0.6%	0.62%	0.57%
48	0.24%	0.32%	0.15%	0.54%	0.56%	0.52%
47	0.22%	0.29%	0.14%	0.5%	0.52%	0.47%
46	0.2%	0.26%	0.13%	0.46%	0.51%	0.41%
45	0.18%	0.24%	0.12%	0.43%	0.52%	0.35%
44	0.17%	0.22%	0.11%	0.42%	0.53%	0.3%
43	0.16%	0.21%	0.11%	0.41%	0.54%	0.27%
42	0.14%	0.19%	0.1%	0.39%	0.53%	0.26%
41	0.13%	0.17%	0.09%	0.37%	0.49%	0.25%
40	0.12%	0.15%	0.08%	0.34%	0.43%	0.25%
39	0.1%	0.13%	0.07%	0.31%	0.38%	0.25%
38	0.1%	0.12%	0.07%	0.29%	0.33%	0.25%
37	0.09%	0.11%	0.06%	0.27%	0.3%	0.23%
36	0.08%	0.1%	0.06%	0.25%	0.29%	0.21%
35	0.08%	0.1%	0.06%	0.23%	0.28%	0.18%
34	0.08%	0.1%	0.06%	0.22%	0.29%	0.15%
33	0.08%	0.09%	0.05%	0.22%	0.3%	0.13%
32	0.07%	0.09%	0.05%	0.22%	0.31%	0.12%
31	0.07%	0.09%	0.05%	0.23%	0.32%	0.12%
30	0.07%	0.09%	0.05%	0.22%	0.31%	0.12%
29	0.07%	0.09%	0.05%	0.21%	0.29%	0.13%
28	0.07%	0.08%	0.05%	0.2%	0.26%	0.13%
27	0.07%	0.08%	0.05%	0.17%	0.22%	0.12%
26	0.07%	0.08%	0.05%	0.15%	0.2%	0.1%
25	0.06%	0.08%	0.05%	0.14%	0.18%	0.08%
24	0.06%	0.07%	0.05%	0.13%	0.18%	0.07%
23	0.06%	0.07%	0.04%	0.12%	0.17%	0.06%
22	0.05%	0.07%	0.04%	0.12%	0.17%	0.06%
21	0.05%	0.06%	0.04%	0.12%	0.16%	0.07%
20	0.05%	0.05%	0.03%	0.12%	0.16%	0.08%
19	0.04%	0.05%	0.03%	0.12%	0.17%	0.08%
18	0.04%	0.04%	0.03%	0.12%	0.17%	0.06%
17	0.03%	0.04%	0.03%	0.11%	0.15%	0.06%
16	0.03%	0.04%	0.02%	0.09%	0.12%	0.06%
15	0.03%	0.04%	0.02%	0.07%	0.09%	0.05%
14	0.03%	0.04%	0.02%	0.06%	0.07%	0.05%
13	0.03%	0.04%	0.02%	0.05%	0.05%	0.05%
12	0.03%	0.03%	0.02%	0.04%	0.04%	0.04%
11	0.03%	0.03%	0.02%	0.03%	0.04%	0.03%
10	0.03%	0.03%	0.02%	0.03%	0.03%	0.03%
9	0.03%	0.03%	0.02%	0.03%	0.03%	0.02%
8	0.03%	0.03%	0.02%	0.03%	0.03%	0.02%
7	0.02%	0.03%	0.02%	0.03%	0.03%	0.03%
6	0.02%	0.02%	0.02%	0.03%	0.03%	0.03%
5	0.02%	0.02%	0.02%	0.03%	0.03%	0.02%
4	0.02%	0.02%	0.03%	0.03%	0.04%	0.02%
3	0.03%	0.03%	0.03%	0.04%	0.04%	0.03%
2	0.04%	0.04%	0.04%	0.04%	0.05%	0.04%
1	0.05%	0.05%	0.05%	0.05%	0.05%	0.05%
0	0.54%	0.59%	0.49%	1.18%	1.21%	1.14%

This chart displays the probability of dying at any given age in China compared to Saint Vincent, as mortality rates vary throughout a lifetime.

The annual chance of dying is 0.54% in the birth year in China and 1.18% in Saint Vincent, 0.07% vs 0.22% at age 30, 0.73% vs 1.55% at 60, and 5.75% vs 8.87% at 80.

Death rate by age in China vs Saint Vincent

Chart Table

China

Male

Female

Saint Vincent

Male

Female

1x

Age	Death rate
	China			Saint Vincent
	Total	Male	Female	Total	Male	Female
100	145	0	355	13.5	0	39.5
99	505	196.9	819	154.2	83.9	247.4
98	735	334	1,147	228.1	127.1	363
97	1,018	523	1,530	327	186.4	513
96	1,350	762	1,962	453	265.2	702
95	1,738	1,046	2,458	610	367	931
94	2,153	1,368	2,972	796	493	1,196
93	2,544	1,713	3,413	1,010	645	1,490
92	2,856	2,061	3,693	1,245	818	1,801
91	3,108	2,396	3,865	1,493	1,009	2,121
90	3,366	2,708	4,066	1,752	1,217	2,439
89	3,582	2,988	4,200	2,013	1,434	2,741
88	3,745	3,232	4,268	2,265	1,656	3,014
87	3,880	3,440	4,326	2,492	1,877	3,247
86	3,965	3,608	4,325	2,689	2,091	3,428
85	3,995	3,731	4,256	2,860	2,293	3,555
84	3,972	3,803	4,134	3,000	2,477	3,627
83	3,891	3,816	3,953	3,110	2,640	3,648
82	3,745	3,764	3,707	3,181	2,776	3,626
81	3,550	3,655	3,426	3,216	2,885	3,566
80	3,328	3,503	3,132	3,225	2,964	3,475
79	3,103	3,332	2,846	3,206	3,014	3,357
78	2,884	3,160	2,586	3,150	3,038	3,216
77	2,680	2,998	2,356	3,061	3,038	3,058
76	2,497	2,846	2,155	2,965	3,017	2,887
75	2,336	2,704	1,979	2,874	2,978	2,710
74	2,190	2,566	1,823	2,771	2,922	2,533
73	2,034	2,410	1,665	2,649	2,854	2,362
72	1,895	2,269	1,525	2,528	2,773	2,200
71	1,792	2,168	1,415	2,413	2,683	2,047
70	1,654	2,034	1,272	2,291	2,586	1,904
69	1,448	1,822	1,069	2,169	2,484	1,769
68	1,325	1,689	956	2,053	2,378	1,639
67	1,260	1,614	898	1,939	2,270	1,517
66	1,179	1,527	825	1,821	2,161	1,403
65	1,103	1,438	761	1,715	2,053	1,311
64	1,030	1,348	703	1,625	1,945	1,231
63	946	1,247	635	1,532	1,839	1,151
62	853	1,133	564	1,436	1,735	1,074
61	757	1,009	498	1,345	1,633	1,003
60	668	892	436	1,257	1,536	936
59	590	791	383	1,178	1,441	871
58	527	706	342	1,107	1,350	810
57	482	645	313	1,036	1,263	755
56	451	603	292	965	1,181	702
55	427	572	276.5	896	1,101	648
54	408	546	263.3	836	1,028	606
53	387	518	249.2	785	957	585
52	360	482	231.3	724	856	573
51	327	438	210	656	740	562
50	290.9	390	187.2	593	634	547
49	257.4	344	166.1	539	552	524
48	229.6	306	149.2	492	498	487
47	208.9	276.7	137.2	453	468	437
46	192.8	253.9	128.1	420	459	381
45	178.6	234	119.7	397	467	328
44	165.2	215.7	111.4	385	485	287.2
43	152.2	198	103.3	378	497	259
42	139.1	180	95.4	367	487	243.6
41	126	161.9	87.5	348	452	238.4
40	113.4	144.6	79.7	323	400	239.5
39	102.3	129.3	72.9	297	349	241.3
38	93	116.7	67.2	273.5	309	237.3
37	86	107.2	62.7	253	283	222.5
36	81	100.6	59.2	234.5	268.3	197.9
35	77.6	96.3	56.7	219.3	264.1	170.1
34	75.4	93.5	55	209.5	269.6	145.9
33	73.9	91.7	53.8	207.7	281.8	128.8
32	72.9	90.3	53	212.8	296	120.3
31	71.6	88.7	51.9	216.7	303	118.8
30	70	86.7	50.7	215.1	298.2	121.5
29	68.3	84.6	49.4	205.9	278	124.7
28	67	82.9	48.7	188.9	247.6	122.2
27	65.8	81	48.1	167.9	216	112.7
26	64.1	78.3	47.4	147.5	191.3	97.5
25	62.2	75.4	46.7	131.8	176.7	81.6
24	60.3	72.7	45.8	123	171.7	69.7
23	57.6	69	44.1	117	168.1	61.8
22	53.9	64.4	41.5	114.4	163.7	61.2
21	49.4	59.1	38.1	116.3	159.2	69.4
20	44.8	53.7	34.3	119.8	159.1	77
19	40.4	48.5	30.8	121.1	165	74.2
18	36.6	44.2	27.6	115.3	164.6	63.2
17	33.6	40.9	25	103.5	150.4	54.2
16	31.4	38.5	23.1	88.5	121.2	54.1
15	30	36.9	21.9	72.5	90.3	53.9
14	29.2	35.9	21.3	58.2	65.1	51
13	28.7	35.2	21.2	47.5	49.3	45.6
12	28.2	34.1	21.3	39.7	40.2	39.2
11	27.5	32.7	21.6	33.6	34.8	32.4
10	27.6	32	22.6	28.5	31.7	25.2
9	27.6	31.1	23.5	26.1	30.2	21.8
8	26.3	28.8	23.3	27.2	29.7	24.6
7	24.2	25.8	22.4	28.5	30.4	26.5
6	22.5	23.1	21.8	28.8	32	25.4
5	22.3	22.3	22.4	28.5	34.5	22.3
4	24.6	24.2	25	30.1	37.7	22.4
3	29.6	29.3	29.9	35.3	41.6	28.8
2	36.1	35.9	36.3	40.9	46.3	35.2
1	45.9	46.8	44.9	49	51.8	46.1
0	540	585	490	1,177	1,212	1,140

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In China, the most common age of death is 85, compared to 80 in Saint Vincent. The median age of death is 82.3 in China and 75.6 in Saint Vincent, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of China and Saint Vincent more than their death rates.

Life expectancy in other countries

+ -

1x