Life Expectancy in China vs India (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

India

Male

Female

1x

Current age, years	Total life expectancy, years
	China			India
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102.5	102.4	102.5
99	101	100.6	101.1	101.6	101.6	101.6
98	100.1	99.6	100.2	100.7	100.7	100.8
97	99.3	98.7	99.4	99.9	99.9	99.9
96	98.4	97.9	98.6	99	99	99.1
95	97.6	97.1	97.8	98.2	98.2	98.2
94	96.8	96.3	97	97.4	97.4	97.4
93	96	95.5	96.2	96.6	96.6	96.6
92	95.3	94.7	95.5	95.8	95.8	95.9
91	94.6	94	94.9	95.1	95	95.1
90	93.9	93.3	94.2	94.3	94.2	94.4
89	93.2	92.6	93.6	93.6	93.5	93.6
88	92.6	91.9	93	92.8	92.7	92.9
87	92	91.3	92.4	92.1	92	92.2
86	91.4	90.6	91.8	91.5	91.3	91.6
85	90.8	90	91.3	90.8	90.6	90.9
84	90.2	89.4	90.7	90.1	89.9	90.3
83	89.6	88.8	90.2	89.5	89.3	89.7
82	89.1	88.2	89.8	88.9	88.6	89.1
81	88.6	87.7	89.3	88.3	88	88.5
80	88.1	87.2	88.9	87.7	87.4	87.9
79	87.7	86.7	88.5	87.1	86.8	87.4
78	87.3	86.2	88.2	86.6	86.2	86.9
77	86.9	85.8	87.8	86	85.7	86.3
76	86.5	85.3	87.5	85.5	85.1	85.9
75	86.2	84.9	87.2	85	84.6	85.4
74	85.8	84.5	86.9	84.5	84.1	85
73	85.5	84.1	86.7	84.1	83.6	84.5
72	85.2	83.7	86.4	83.6	83.1	84.1
71	84.9	83.4	86.1	83.2	82.6	83.7
70	84.6	83	85.9	82.8	82.2	83.3
69	84.3	82.7	85.7	82.4	81.7	83
68	84	82.4	85.5	82	81.3	82.6
67	83.8	82.1	85.4	81.6	80.9	82.3
66	83.6	81.8	85.2	81.3	80.5	82
65	83.3	81.5	85	80.9	80.2	81.7
64	83.1	81.3	84.9	80.6	79.8	81.4
63	82.9	81	84.7	80.3	79.5	81.1
62	82.7	80.8	84.6	80	79.2	80.9
61	82.5	80.6	84.5	79.8	78.9	80.6
60	82.4	80.4	84.3	79.5	78.6	80.4
59	82.2	80.2	84.2	79.2	78.3	80.2
58	82.1	80	84.2	79	78	80
57	82	79.8	84.1	78.7	77.8	79.7
56	81.8	79.7	84	78.5	77.5	79.6
55	81.7	79.5	83.9	78.3	77.3	79.4
54	81.6	79.4	83.8	78.1	77.1	79.2
53	81.5	79.2	83.7	77.9	76.8	79
52	81.4	79.1	83.7	77.8	76.7	78.9
51	81.3	79	83.6	77.6	76.5	78.8
50	81.2	78.9	83.5	77.5	76.3	78.6
49	81.1	78.8	83.5	77.3	76.2	78.5
48	81	78.7	83.4	77.2	76	78.4
47	81	78.6	83.4	77.1	75.8	78.3
46	80.9	78.5	83.3	76.9	75.7	78.2
45	80.8	78.4	83.3	76.8	75.6	78.2
44	80.8	78.3	83.2	76.7	75.4	78.1
43	80.7	78.3	83.2	76.6	75.3	78
42	80.6	78.2	83.1	76.5	75.2	77.9
41	80.6	78.1	83.1	76.4	75.1	77.9
40	80.5	78.1	83.1	76.3	75	77.8
39	80.5	78	83	76.3	74.9	77.7
38	80.5	78	83	76.2	74.8	77.7
37	80.4	77.9	83	76.1	74.7	77.6
36	80.4	77.9	83	76	74.6	77.6
35	80.4	77.8	82.9	75.9	74.5	77.5
34	80.3	77.8	82.9	75.9	74.4	77.5
33	80.3	77.8	82.9	75.8	74.3	77.4
32	80.2	77.7	82.8	75.7	74.2	77.4
31	80.2	77.7	82.8	75.7	74.2	77.3
30	80.2	77.6	82.8	75.6	74.1	77.3
29	80.1	77.6	82.8	75.6	74	77.2
28	80.1	77.6	82.7	75.5	74	77.2
27	80.1	77.5	82.7	75.5	73.9	77.1
26	80	77.5	82.7	75.4	73.9	77.1
25	80	77.4	82.7	75.4	73.8	77
24	80	77.4	82.6	75.3	73.7	77
23	79.9	77.4	82.6	75.3	73.7	76.9
22	79.9	77.3	82.6	75.2	73.6	76.9
21	79.9	77.3	82.6	75.2	73.6	76.9
20	79.8	77.3	82.5	75.1	73.5	76.8
19	79.8	77.2	82.5	75.1	73.5	76.8
18	79.8	77.2	82.5	75	73.4	76.7
17	79.8	77.2	82.5	75	73.4	76.7
16	79.8	77.2	82.5	75	73.4	76.7
15	79.7	77.1	82.4	74.9	73.3	76.6
14	79.7	77.1	82.4	74.9	73.3	76.6
13	79.7	77.1	82.4	74.9	73.3	76.6
12	79.7	77.1	82.4	74.9	73.3	76.6
11	79.7	77	82.4	74.8	73.2	76.5
10	79.6	77	82.4	74.8	73.2	76.5
9	79.6	77	82.4	74.8	73.2	76.5
8	79.6	77	82.3	74.8	73.2	76.5
7	79.6	77	82.3	74.7	73.1	76.4
6	79.6	76.9	82.3	74.7	73.1	76.4
5	79.6	76.9	82.3	74.6	73.1	76.4
4	79.5	76.9	82.3	74.6	73	76.3
3	79.5	76.9	82.2	74.5	73	76.3
2	79.5	76.9	82.2	74.5	72.9	76.2
1	79.5	76.8	82.2	74.3	72.7	75.9
0	79	76.4	81.8	72.7	71.2	74.4

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 75.6 in India, rising to 83.3 and 80.9 at 65, and to 88.1 and 87.7 at 80 — higher than the 79 and 72.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

India

Male

Female

1x

Age	Survival probability
	China			India
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.93%	0.75%	1.11%
99	1.33%	0.38%	2.27%	1.32%	1.06%	1.59%
98	2.06%	0.72%	3.42%	1.83%	1.47%	2.21%
97	3.08%	1.24%	4.95%	2.49%	2%	3%
96	4.43%	2%	6.91%	3.31%	2.67%	3.99%
95	6.17%	3.05%	9.37%	4.32%	3.48%	5.18%
94	8.32%	4.42%	12.3%	5.52%	4.47%	6.61%
93	10.9%	6.13%	15.8%	6.93%	5.64%	8.28%
92	13.7%	8.19%	19.4%	8.56%	7.01%	10.2%
91	16.8%	10.6%	23.3%	10.4%	8.58%	12.3%
90	20.2%	13.3%	27.4%	12.5%	10.4%	14.7%
89	23.8%	16.3%	31.6%	14.7%	12.3%	17.3%
88	27.5%	19.5%	35.8%	17.2%	14.5%	20.1%
87	31.4%	23%	40.2%	19.8%	16.8%	23%
86	35.4%	26.6%	44.5%	22.5%	19.2%	26%
85	39.4%	30.3%	48.8%	25.4%	21.8%	29.2%
84	43.3%	34.1%	52.9%	28.3%	24.5%	32.4%
83	47.2%	37.9%	56.8%	31.3%	27.3%	35.6%
82	51%	41.7%	60.5%	34.4%	30.2%	38.9%
81	54.5%	45.3%	64%	37.5%	33.1%	42.1%
80	57.8%	48.8%	67.1%	40.5%	36.1%	45.3%
79	60.9%	52.2%	70%	43.6%	39.1%	48.4%
78	63.8%	55.3%	72.5%	46.5%	42%	51.5%
77	66.5%	58.3%	74.9%	49.4%	44.9%	54.4%
76	69%	61.2%	77%	52.3%	47.7%	57.2%
75	71.3%	63.9%	79%	55%	50.4%	59.9%
74	73.5%	66.4%	80.8%	57.6%	53.1%	62.5%
73	75.6%	68.9%	82.5%	60.2%	55.8%	64.9%
72	77.5%	71.1%	84%	62.6%	58.3%	67.2%
71	79.3%	73.3%	85.5%	64.9%	60.8%	69.4%
70	80.9%	75.3%	86.7%	67.2%	63.2%	71.5%
69	82.4%	77.1%	87.8%	69.3%	65.4%	73.4%
68	83.7%	78.8%	88.8%	71.2%	67.5%	75.2%
67	84.9%	80.4%	89.6%	73.1%	69.5%	76.9%
66	86.1%	82%	90.5%	74.8%	71.4%	78.5%
65	87.2%	83.4%	91.2%	76.4%	73.1%	80%
64	88.3%	84.8%	91.9%	77.9%	74.7%	81.3%
63	89.2%	86%	92.6%	79.3%	76.3%	82.5%
62	90.1%	87.1%	93.1%	80.6%	77.7%	83.7%
61	90.8%	88.1%	93.6%	81.8%	79.1%	84.7%
60	91.5%	89%	94.1%	83%	80.4%	85.7%
59	92.1%	89.8%	94.5%	84%	81.6%	86.6%
58	92.6%	90.5%	94.8%	85%	82.8%	87.5%
57	93.1%	91.2%	95.1%	86%	83.9%	88.3%
56	93.5%	91.8%	95.4%	86.9%	84.9%	89%
55	94%	92.4%	95.7%	87.7%	85.8%	89.7%
54	94.4%	92.9%	95.9%	88.4%	86.7%	90.4%
53	94.8%	93.4%	96.2%	89.1%	87.4%	90.9%
52	95.1%	93.9%	96.4%	89.7%	88.1%	91.4%
51	95.4%	94.3%	96.6%	90.2%	88.7%	91.8%
50	95.7%	94.7%	96.8%	90.7%	89.3%	92.2%
49	96%	95.1%	97%	91.1%	89.8%	92.6%
48	96.2%	95.4%	97.1%	91.6%	90.3%	92.9%
47	96.4%	95.7%	97.3%	92%	90.8%	93.2%
46	96.6%	95.9%	97.4%	92.3%	91.3%	93.5%
45	96.8%	96.1%	97.5%	92.7%	91.7%	93.7%
44	97%	96.4%	97.6%	93%	92.1%	93.9%
43	97.1%	96.6%	97.7%	93.3%	92.5%	94.1%
42	97.3%	96.7%	97.8%	93.5%	92.8%	94.3%
41	97.4%	96.9%	97.9%	93.8%	93.1%	94.5%
40	97.5%	97%	98%	94%	93.4%	94.7%
39	97.6%	97.2%	98.1%	94.2%	93.7%	94.8%
38	97.7%	97.3%	98.1%	94.4%	93.9%	95%
37	97.8%	97.4%	98.2%	94.6%	94.2%	95.1%
36	97.9%	97.5%	98.3%	94.8%	94.4%	95.2%
35	97.9%	97.6%	98.3%	95%	94.6%	95.4%
34	98%	97.7%	98.4%	95.1%	94.8%	95.5%
33	98.1%	97.8%	98.4%	95.3%	95%	95.6%
32	98.2%	97.9%	98.5%	95.4%	95.2%	95.7%
31	98.2%	98%	98.5%	95.6%	95.3%	95.8%
30	98.3%	98%	98.6%	95.7%	95.5%	95.9%
29	98.4%	98.1%	98.6%	95.8%	95.6%	96%
28	98.4%	98.2%	98.7%	95.9%	95.8%	96.1%
27	98.5%	98.3%	98.7%	96%	95.9%	96.1%
26	98.6%	98.4%	98.8%	96.1%	96%	96.2%
25	98.6%	98.4%	98.8%	96.2%	96.1%	96.3%
24	98.7%	98.5%	98.9%	96.3%	96.2%	96.4%
23	98.7%	98.6%	98.9%	96.4%	96.3%	96.5%
22	98.8%	98.7%	99%	96.5%	96.4%	96.6%
21	98.8%	98.7%	99%	96.6%	96.5%	96.6%
20	98.9%	98.8%	99%	96.7%	96.6%	96.7%
19	98.9%	98.8%	99.1%	96.7%	96.7%	96.8%
18	99%	98.9%	99.1%	96.8%	96.8%	96.8%
17	99%	98.9%	99.1%	96.9%	96.8%	96.9%
16	99%	98.9%	99.1%	96.9%	96.9%	96.9%
15	99.1%	99%	99.2%	97%	97%	97%
14	99.1%	99%	99.2%	97%	97%	97%
13	99.1%	99%	99.2%	97.1%	97%	97.1%
12	99.1%	99.1%	99.2%	97.1%	97.1%	97.1%
11	99.2%	99.1%	99.2%	97.1%	97.1%	97.1%
10	99.2%	99.1%	99.3%	97.2%	97.1%	97.2%
9	99.2%	99.2%	99.3%	97.2%	97.2%	97.2%
8	99.3%	99.2%	99.3%	97.2%	97.2%	97.2%
7	99.3%	99.2%	99.3%	97.3%	97.3%	97.3%
6	99.3%	99.3%	99.4%	97.3%	97.3%	97.3%
5	99.3%	99.3%	99.4%	97.4%	97.4%	97.4%
4	99.3%	99.3%	99.4%	97.5%	97.5%	97.5%
3	99.4%	99.3%	99.4%	97.5%	97.5%	97.5%
2	99.4%	99.4%	99.5%	97.6%	97.6%	97.7%
1	99.5%	99.4%	99.5%	97.9%	97.9%	98%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 83% in India are expected to live past 60, 80.9% and 67.2% past 70, 57.8% and 40.5% past 80, and only 20.2% and 12.5% 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

India

Male

Female

1x

Age	Probability of dying
	China			India
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	31.3%	31%	31.5%
99	38.1%	51.3%	36.1%	29.7%	29.5%	29.8%
98	35.7%	46.6%	33.6%	28%	28%	28.1%
97	33.1%	42.1%	30.9%	26.4%	26.4%	26.4%
96	30.5%	38.1%	28.4%	24.8%	24.9%	24.7%
95	28.2%	34.3%	26.2%	23.2%	23.4%	23.1%
94	25.9%	31%	24.1%	21.8%	22.1%	21.6%
93	23.4%	27.9%	21.7%	20.4%	20.8%	20.1%
92	20.8%	25.2%	19%	19.1%	19.5%	18.8%
91	18.5%	22.6%	16.6%	17.8%	18.3%	17.5%
90	16.7%	20.4%	14.9%	16.5%	17.1%	16.2%
89	15.1%	18.4%	13.3%	15.3%	15.9%	14.9%
88	13.6%	16.6%	11.9%	14.2%	14.8%	13.8%
87	12.4%	15%	10.8%	13.1%	13.7%	12.7%
86	11.2%	13.6%	9.72%	12.1%	12.8%	11.7%
85	10.1%	12.3%	8.73%	11.2%	11.9%	10.7%
84	9.17%	11.2%	7.82%	10.4%	11%	9.9%
83	8.24%	10.1%	6.95%	9.64%	10.3%	9.12%
82	7.35%	9.03%	6.12%	8.92%	9.57%	8.39%
81	6.51%	8.06%	5.36%	8.24%	8.88%	7.71%
80	5.75%	7.17%	4.67%	7.58%	8.22%	7.06%
79	5.09%	6.39%	4.07%	6.97%	7.57%	6.45%
78	4.52%	5.71%	3.56%	6.39%	6.97%	5.89%
77	4.03%	5.14%	3.15%	5.86%	6.42%	5.38%
76	3.62%	4.65%	2.8%	5.39%	5.92%	4.91%
75	3.27%	4.23%	2.5%	4.95%	5.47%	4.48%
74	2.98%	3.86%	2.25%	4.57%	5.08%	4.11%
73	2.69%	3.5%	2.02%	4.23%	4.73%	3.76%
72	2.45%	3.19%	1.81%	3.9%	4.39%	3.45%
71	2.26%	2.96%	1.66%	3.6%	4.06%	3.16%
70	2.04%	2.7%	1.47%	3.31%	3.74%	2.89%
69	1.76%	2.36%	1.22%	3.03%	3.43%	2.65%
68	1.58%	2.14%	1.08%	2.77%	3.13%	2.42%
67	1.48%	2.01%	1%	2.52%	2.85%	2.2%
66	1.37%	1.86%	0.91%	2.3%	2.6%	2%
65	1.26%	1.72%	0.83%	2.1%	2.38%	1.82%
64	1.17%	1.59%	0.76%	1.92%	2.19%	1.65%
63	1.06%	1.45%	0.69%	1.76%	2.02%	1.5%
62	0.95%	1.3%	0.61%	1.61%	1.87%	1.36%
61	0.83%	1.14%	0.53%	1.49%	1.73%	1.24%
60	0.73%	1%	0.46%	1.38%	1.61%	1.14%
59	0.64%	0.88%	0.41%	1.28%	1.5%	1.06%
58	0.57%	0.78%	0.36%	1.19%	1.4%	0.99%
57	0.52%	0.71%	0.33%	1.11%	1.29%	0.92%
56	0.48%	0.66%	0.31%	1.02%	1.19%	0.84%
55	0.45%	0.62%	0.29%	0.93%	1.08%	0.77%
54	0.43%	0.59%	0.27%	0.83%	0.97%	0.69%
53	0.41%	0.55%	0.26%	0.74%	0.87%	0.61%
52	0.38%	0.51%	0.24%	0.66%	0.78%	0.54%
51	0.34%	0.46%	0.22%	0.59%	0.7%	0.47%
50	0.3%	0.41%	0.19%	0.53%	0.64%	0.42%
49	0.27%	0.36%	0.17%	0.49%	0.6%	0.38%
48	0.24%	0.32%	0.15%	0.45%	0.56%	0.34%
47	0.22%	0.29%	0.14%	0.42%	0.53%	0.31%
46	0.2%	0.26%	0.13%	0.4%	0.5%	0.29%
45	0.18%	0.24%	0.12%	0.37%	0.47%	0.26%
44	0.17%	0.22%	0.11%	0.34%	0.43%	0.24%
43	0.16%	0.21%	0.11%	0.31%	0.4%	0.22%
42	0.14%	0.19%	0.1%	0.29%	0.36%	0.21%
41	0.13%	0.17%	0.09%	0.26%	0.33%	0.19%
40	0.12%	0.15%	0.08%	0.24%	0.31%	0.18%
39	0.1%	0.13%	0.07%	0.23%	0.29%	0.16%
38	0.1%	0.12%	0.07%	0.22%	0.27%	0.15%
37	0.09%	0.11%	0.06%	0.2%	0.26%	0.14%
36	0.08%	0.1%	0.06%	0.19%	0.25%	0.13%
35	0.08%	0.1%	0.06%	0.18%	0.23%	0.12%
34	0.08%	0.1%	0.06%	0.17%	0.21%	0.12%
33	0.08%	0.09%	0.05%	0.15%	0.19%	0.11%
32	0.07%	0.09%	0.05%	0.14%	0.18%	0.11%
31	0.07%	0.09%	0.05%	0.13%	0.16%	0.1%
30	0.07%	0.09%	0.05%	0.13%	0.15%	0.1%
29	0.07%	0.09%	0.05%	0.12%	0.14%	0.1%
28	0.07%	0.08%	0.05%	0.12%	0.14%	0.09%
27	0.07%	0.08%	0.05%	0.11%	0.13%	0.09%
26	0.07%	0.08%	0.05%	0.11%	0.13%	0.09%
25	0.06%	0.08%	0.05%	0.11%	0.12%	0.09%
24	0.06%	0.07%	0.05%	0.1%	0.12%	0.09%
23	0.06%	0.07%	0.04%	0.1%	0.11%	0.08%
22	0.05%	0.07%	0.04%	0.09%	0.1%	0.08%
21	0.05%	0.06%	0.04%	0.08%	0.09%	0.07%
20	0.05%	0.05%	0.03%	0.08%	0.09%	0.07%
19	0.04%	0.05%	0.03%	0.07%	0.08%	0.07%
18	0.04%	0.04%	0.03%	0.07%	0.07%	0.06%
17	0.03%	0.04%	0.03%	0.07%	0.07%	0.06%
16	0.03%	0.04%	0.02%	0.06%	0.06%	0.06%
15	0.03%	0.04%	0.02%	0.06%	0.06%	0.05%
14	0.03%	0.04%	0.02%	0.05%	0.05%	0.05%
13	0.03%	0.04%	0.02%	0.04%	0.04%	0.04%
12	0.03%	0.03%	0.02%	0.04%	0.04%	0.03%
11	0.03%	0.03%	0.02%	0.03%	0.03%	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%	0.03%
8	0.03%	0.03%	0.02%	0.04%	0.04%	0.04%
7	0.02%	0.03%	0.02%	0.05%	0.05%	0.04%
6	0.02%	0.02%	0.02%	0.06%	0.06%	0.06%
5	0.02%	0.02%	0.02%	0.07%	0.07%	0.07%
4	0.02%	0.02%	0.03%	0.07%	0.07%	0.07%
3	0.03%	0.03%	0.03%	0.08%	0.07%	0.08%
2	0.04%	0.04%	0.04%	0.1%	0.09%	0.11%
1	0.05%	0.05%	0.05%	0.28%	0.25%	0.3%
0	0.54%	0.59%	0.49%	2.09%	2.13%	2.05%

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

The annual chance of dying is 0.54% in the birth year in China and 2.09% in India, 0.07% vs 0.13% at age 30, 0.73% vs 1.38% at 60, and 5.75% vs 7.58% at 80.

Death rate by age in China vs India

Chart Table

China

Male

Female

India

Male

Female

1x

Age	Death rate
	China			India
	Total	Male	Female	Total	Male	Female
100	145	0	355	218.3	169	269.5
99	505	196.9	819	392	313	474
98	735	334	1,147	514	412	620
97	1,018	523	1,530	658	529	792
96	1,350	762	1,962	822	665	986
95	1,738	1,046	2,458	1,003	817	1,198
94	2,153	1,368	2,972	1,201	986	1,427
93	2,544	1,713	3,413	1,413	1,171	1,668
92	2,856	2,061	3,693	1,634	1,369	1,914
91	3,108	2,396	3,865	1,855	1,573	2,156
90	3,366	2,708	4,066	2,066	1,771	2,381
89	3,582	2,988	4,200	2,261	1,961	2,585
88	3,745	3,232	4,268	2,438	2,138	2,763
87	3,880	3,440	4,326	2,594	2,300	2,913
86	3,965	3,608	4,325	2,729	2,449	3,035
85	3,995	3,731	4,256	2,845	2,584	3,132
84	3,972	3,803	4,134	2,942	2,705	3,202
83	3,891	3,816	3,953	3,017	2,809	3,246
82	3,745	3,764	3,707	3,066	2,890	3,261
81	3,550	3,655	3,426	3,085	2,943	3,245
80	3,328	3,503	3,132	3,074	2,966	3,199
79	3,103	3,332	2,846	3,035	2,958	3,127
78	2,884	3,160	2,586	2,975	2,927	3,033
77	2,680	2,998	2,356	2,900	2,879	2,925
76	2,497	2,846	2,155	2,814	2,822	2,807
75	2,336	2,704	1,979	2,724	2,761	2,686
74	2,190	2,566	1,823	2,635	2,701	2,565
73	2,034	2,410	1,665	2,542	2,636	2,442
72	1,895	2,269	1,525	2,444	2,560	2,319
71	1,792	2,168	1,415	2,337	2,470	2,194
70	1,654	2,034	1,272	2,221	2,364	2,069
69	1,448	1,822	1,069	2,099	2,242	1,944
68	1,325	1,689	956	1,972	2,113	1,819
67	1,260	1,614	898	1,845	1,983	1,696
66	1,179	1,527	825	1,721	1,857	1,574
65	1,103	1,438	761	1,603	1,741	1,455
64	1,030	1,348	703	1,494	1,635	1,341
63	946	1,247	635	1,393	1,540	1,234
62	853	1,133	564	1,301	1,452	1,137
61	757	1,009	498	1,217	1,371	1,052
60	668	892	436	1,144	1,297	980
59	590	791	383	1,078	1,226	918
58	527	706	342	1,015	1,157	863
57	482	645	313	952	1,085	808
56	451	603	292	885	1,010	751
55	427	572	276.5	813	928	688
54	408	546	263.3	737	844	621
53	387	518	249.2	662	762	554
52	360	482	231.3	593	688	491
51	327	438	210	533	624	435
50	290.9	390	187.2	484	573	388
49	257.4	344	166.1	446	535	350
48	229.6	306	149.2	415	505	318
47	208.9	276.7	137.2	389	480	290.9
46	192.8	253.9	128.1	366	455	267.7
45	178.6	234	119.7	342	429	246.9
44	165.2	215.7	111.4	317	399	227.8
43	152.2	198	103.3	292.6	368	210.4
42	139.1	180	95.4	269.3	338	194.4
41	126	161.9	87.5	248.3	311	180
40	113.4	144.6	79.7	230.3	288.3	167.1
39	102.3	129.3	72.9	215.5	270.6	155.3
38	93	116.7	67.2	203.1	256.6	144.7
37	86	107.2	62.7	192	244.1	135.2
36	81	100.6	59.2	181.4	231.7	126.7
35	77.6	96.3	56.7	170.6	217.9	119.1
34	75.4	93.5	55	159	201.8	112.2
33	73.9	91.7	53.8	147.3	184.8	106.2
32	72.9	90.3	53	136.5	168.6	101.1
31	71.6	88.7	51.9	127.2	154.5	97
30	70	86.7	50.7	120	143.4	94
29	68.3	84.6	49.4	115	135.7	92
28	67	82.9	48.7	111.8	130.7	90.9
27	65.8	81	48.1	109.6	127.3	90
26	64.1	78.3	47.4	107.3	124	88.9
25	62.2	75.4	46.7	104.3	119.9	87
24	60.3	72.7	45.8	99.8	114.1	84
23	57.6	69	44.1	94	106.8	80
22	53.9	64.4	41.5	87.7	98.7	75.6
21	49.4	59.1	38.1	81.6	90.8	71.4
20	44.8	53.7	34.3	76.1	83.7	67.7
19	40.4	48.5	30.8	71.6	77.6	64.9
18	36.6	44.2	27.6	67.8	72.3	62.8
17	33.6	40.9	25	64.1	67.3	60.6
16	31.4	38.5	23.1	59.8	61.8	57.5
15	30	36.9	21.9	54.3	55.5	52.9
14	29.2	35.9	21.3	47.7	48.4	46.8
13	28.7	35.2	21.2	40.5	41.1	39.9
12	28.2	34.1	21.3	34.4	35	33.7
11	27.5	32.7	21.6	30.4	31.2	29.6
10	27.6	32	22.6	28.4	29.4	27.4
9	27.6	31.1	23.5	30	31.4	28.5
8	26.3	28.8	23.3	36.6	38.8	34.2
7	24.2	25.8	22.4	46.5	49.5	43.2
6	22.5	23.1	21.8	57.2	60.5	53.6
5	22.3	22.3	22.4	66.6	69	63.9
4	24.6	24.2	25	72.2	72.2	72.3
3	29.6	29.3	29.9	73.9	69.6	78.6
2	36.1	35.9	36.3	100.6	90.7	111.1
1	45.9	46.8	44.9	269.3	247.9	292.1
0	540	585	490	2,091	2,131	2,048

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 81 in India. The median age of death is 82.3 in China and 76.8 in India, 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 India more than their death rates.

Life expectancy in other countries

+ -

1x