Life Expectancy in China vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Malawi
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102.1	101.9	102.2
99	101	100.6	101.1	101.2	101	101.3
98	100.1	99.6	100.2	100.3	100.1	100.4
97	99.3	98.7	99.4	99.4	99.2	99.5
96	98.4	97.9	98.6	98.6	98.4	98.6
95	97.6	97.1	97.8	97.7	97.5	97.8
94	96.8	96.3	97	96.9	96.6	97
93	96	95.5	96.2	96	95.8	96.1
92	95.3	94.7	95.5	95.2	94.9	95.3
91	94.6	94	94.9	94.4	94.1	94.5
90	93.9	93.3	94.2	93.6	93.2	93.8
89	93.2	92.6	93.6	92.8	92.4	93
88	92.6	91.9	93	92.1	91.6	92.2
87	92	91.3	92.4	91.3	90.8	91.5
86	91.4	90.6	91.8	90.6	90.1	90.8
85	90.8	90	91.3	89.8	89.3	90.1
84	90.2	89.4	90.7	89.1	88.5	89.4
83	89.6	88.8	90.2	88.4	87.8	88.8
82	89.1	88.2	89.8	87.8	87.1	88.2
81	88.6	87.7	89.3	87.2	86.4	87.6
80	88.1	87.2	88.9	86.5	85.8	87
79	87.7	86.7	88.5	85.9	85.1	86.4
78	87.3	86.2	88.2	85.3	84.5	85.9
77	86.9	85.8	87.8	84.8	83.8	85.3
76	86.5	85.3	87.5	84.2	83.2	84.8
75	86.2	84.9	87.2	83.6	82.7	84.3
74	85.8	84.5	86.9	83.1	82.1	83.9
73	85.5	84.1	86.7	82.6	81.5	83.4
72	85.2	83.7	86.4	82.1	81	83
71	84.9	83.4	86.1	81.7	80.5	82.5
70	84.6	83	85.9	81.2	80	82.1
69	84.3	82.7	85.7	80.8	79.5	81.8
68	84	82.4	85.5	80.3	79	81.4
67	83.8	82.1	85.4	79.9	78.6	81
66	83.6	81.8	85.2	79.5	78.1	80.7
65	83.3	81.5	85	79.2	77.7	80.4
64	83.1	81.3	84.9	78.8	77.3	80
63	82.9	81	84.7	78.5	76.9	79.8
62	82.7	80.8	84.6	78.1	76.5	79.5
61	82.5	80.6	84.5	77.8	76.1	79.2
60	82.4	80.4	84.3	77.5	75.8	78.9
59	82.2	80.2	84.2	77.2	75.4	78.7
58	82.1	80	84.2	76.9	75.1	78.5
57	82	79.8	84.1	76.7	74.8	78.2
56	81.8	79.7	84	76.4	74.5	78
55	81.7	79.5	83.9	76.1	74.2	77.8
54	81.6	79.4	83.8	75.9	73.9	77.6
53	81.5	79.2	83.7	75.6	73.6	77.4
52	81.4	79.1	83.7	75.4	73.3	77.3
51	81.3	79	83.6	75.2	73	77.1
50	81.2	78.9	83.5	75	72.8	76.9
49	81.1	78.8	83.5	74.8	72.5	76.7
48	81	78.7	83.4	74.6	72.3	76.6
47	81	78.6	83.4	74.4	72.1	76.5
46	80.9	78.5	83.3	74.2	71.9	76.3
45	80.8	78.4	83.3	74	71.7	76.2
44	80.8	78.3	83.2	73.8	71.5	76.1
43	80.7	78.3	83.2	73.7	71.3	75.9
42	80.6	78.2	83.1	73.5	71.1	75.8
41	80.6	78.1	83.1	73.4	70.9	75.7
40	80.5	78.1	83.1	73.3	70.7	75.6
39	80.5	78	83	73.1	70.6	75.5
38	80.5	78	83	73	70.4	75.4
37	80.4	77.9	83	72.9	70.2	75.3
36	80.4	77.9	83	72.7	70.1	75.2
35	80.4	77.8	82.9	72.6	69.9	75.1
34	80.3	77.8	82.9	72.5	69.8	75
33	80.3	77.8	82.9	72.4	69.7	75
32	80.2	77.7	82.8	72.3	69.5	74.9
31	80.2	77.7	82.8	72.2	69.4	74.8
30	80.2	77.6	82.8	72.1	69.3	74.7
29	80.1	77.6	82.8	72	69.2	74.7
28	80.1	77.6	82.7	71.9	69.1	74.6
27	80.1	77.5	82.7	71.8	68.9	74.5
26	80	77.5	82.7	71.7	68.8	74.5
25	80	77.4	82.7	71.6	68.7	74.4
24	80	77.4	82.6	71.6	68.6	74.3
23	79.9	77.4	82.6	71.5	68.5	74.3
22	79.9	77.3	82.6	71.4	68.4	74.2
21	79.9	77.3	82.6	71.3	68.3	74.2
20	79.8	77.3	82.5	71.2	68.2	74.1
19	79.8	77.2	82.5	71.2	68.1	74.1
18	79.8	77.2	82.5	71.1	68	74
17	79.8	77.2	82.5	71	68	74
16	79.8	77.2	82.5	71	67.9	73.9
15	79.7	77.1	82.4	70.9	67.8	73.9
14	79.7	77.1	82.4	70.9	67.8	73.9
13	79.7	77.1	82.4	70.9	67.8	73.8
12	79.7	77.1	82.4	70.8	67.7	73.8
11	79.7	77	82.4	70.8	67.7	73.8
10	79.6	77	82.4	70.7	67.6	73.7
9	79.6	77	82.4	70.7	67.6	73.7
8	79.6	77	82.3	70.7	67.5	73.6
7	79.6	77	82.3	70.6	67.5	73.6
6	79.6	76.9	82.3	70.5	67.4	73.5
5	79.6	76.9	82.3	70.5	67.4	73.5
4	79.5	76.9	82.3	70.4	67.3	73.4
3	79.5	76.9	82.2	70.3	67.1	73.3
2	79.5	76.9	82.2	70.1	67	73.1
1	79.5	76.8	82.2	69.8	66.7	72.9
0	79	76.4	81.8	67.9	64.6	71.1

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 72.1 in Malawi, rising to 83.3 and 79.2 at 65, and to 88.1 and 86.5 at 80 — higher than the 79 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	China			Malawi
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.28%	0.11%	0.45%
99	1.33%	0.38%	2.27%	0.42%	0.17%	0.68%
98	2.06%	0.72%	3.42%	0.63%	0.26%	1%
97	3.08%	1.24%	4.95%	0.91%	0.4%	1.43%
96	4.43%	2%	6.91%	1.29%	0.58%	2.01%
95	6.17%	3.05%	9.37%	1.8%	0.84%	2.76%
94	8.32%	4.42%	12.3%	2.44%	1.19%	3.7%
93	10.9%	6.13%	15.8%	3.24%	1.64%	4.85%
92	13.7%	8.19%	19.4%	4.23%	2.22%	6.24%
91	16.8%	10.6%	23.3%	5.39%	2.93%	7.85%
90	20.2%	13.3%	27.4%	6.79%	3.82%	9.75%
89	23.8%	16.3%	31.6%	8.39%	4.88%	11.9%
88	27.5%	19.5%	35.8%	10.2%	6.14%	14.2%
87	31.4%	23%	40.2%	12.2%	7.6%	16.8%
86	35.4%	26.6%	44.5%	14.5%	9.26%	19.6%
85	39.4%	30.3%	48.8%	16.9%	11.1%	22.5%
84	43.3%	34.1%	52.9%	19.5%	13.2%	25.6%
83	47.2%	37.9%	56.8%	22.1%	15.4%	28.7%
82	51%	41.7%	60.5%	24.9%	17.8%	31.9%
81	54.5%	45.3%	64%	27.7%	20.2%	35%
80	57.8%	48.8%	67.1%	30.6%	22.8%	38.2%
79	60.9%	52.2%	70%	33.5%	25.5%	41.3%
78	63.8%	55.3%	72.5%	36.4%	28.2%	44.4%
77	66.5%	58.3%	74.9%	39.3%	31%	47.4%
76	69%	61.2%	77%	42.1%	33.7%	50.3%
75	71.3%	63.9%	79%	44.9%	36.5%	53.1%
74	73.5%	66.4%	80.8%	47.7%	39.2%	55.8%
73	75.6%	68.9%	82.5%	50.3%	41.9%	58.4%
72	77.5%	71.1%	84%	52.9%	44.6%	60.9%
71	79.3%	73.3%	85.5%	55.3%	47.1%	63.2%
70	80.9%	75.3%	86.7%	57.7%	49.6%	65.4%
69	82.4%	77.1%	87.8%	59.9%	52%	67.4%
68	83.7%	78.8%	88.8%	62.1%	54.3%	69.4%
67	84.9%	80.4%	89.6%	64.1%	56.5%	71.2%
66	86.1%	82%	90.5%	66%	58.7%	72.9%
65	87.2%	83.4%	91.2%	67.8%	60.7%	74.5%
64	88.3%	84.8%	91.9%	69.5%	62.7%	76%
63	89.2%	86%	92.6%	71.1%	64.6%	77.4%
62	90.1%	87.1%	93.1%	72.7%	66.4%	78.7%
61	90.8%	88.1%	93.6%	74.1%	68.1%	79.9%
60	91.5%	89%	94.1%	75.4%	69.7%	81%
59	92.1%	89.8%	94.5%	76.6%	71.2%	82%
58	92.6%	90.5%	94.8%	77.8%	72.6%	83%
57	93.1%	91.2%	95.1%	78.9%	74%	83.8%
56	93.5%	91.8%	95.4%	80%	75.2%	84.7%
55	94%	92.4%	95.7%	81%	76.5%	85.5%
54	94.4%	92.9%	95.9%	81.9%	77.6%	86.2%
53	94.8%	93.4%	96.2%	82.8%	78.7%	86.9%
52	95.1%	93.9%	96.4%	83.7%	79.8%	87.5%
51	95.4%	94.3%	96.6%	84.5%	80.7%	88.1%
50	95.7%	94.7%	96.8%	85.2%	81.7%	88.7%
49	96%	95.1%	97%	85.9%	82.5%	89.2%
48	96.2%	95.4%	97.1%	86.6%	83.3%	89.7%
47	96.4%	95.7%	97.3%	87.2%	84.1%	90.1%
46	96.6%	95.9%	97.4%	87.7%	84.8%	90.5%
45	96.8%	96.1%	97.5%	88.3%	85.5%	90.9%
44	97%	96.4%	97.6%	88.8%	86.1%	91.3%
43	97.1%	96.6%	97.7%	89.2%	86.7%	91.6%
42	97.3%	96.7%	97.8%	89.7%	87.3%	92%
41	97.4%	96.9%	97.9%	90.1%	87.8%	92.3%
40	97.5%	97%	98%	90.5%	88.3%	92.5%
39	97.6%	97.2%	98.1%	90.8%	88.8%	92.8%
38	97.7%	97.3%	98.1%	91.2%	89.3%	93.1%
37	97.8%	97.4%	98.2%	91.5%	89.7%	93.3%
36	97.9%	97.5%	98.3%	91.8%	90.1%	93.5%
35	97.9%	97.6%	98.3%	92.1%	90.5%	93.7%
34	98%	97.7%	98.4%	92.4%	90.8%	93.9%
33	98.1%	97.8%	98.4%	92.6%	91.1%	94.1%
32	98.2%	97.9%	98.5%	92.9%	91.5%	94.3%
31	98.2%	98%	98.5%	93.1%	91.8%	94.4%
30	98.3%	98%	98.6%	93.3%	92.1%	94.6%
29	98.4%	98.1%	98.6%	93.5%	92.3%	94.7%
28	98.4%	98.2%	98.7%	93.7%	92.6%	94.9%
27	98.5%	98.3%	98.7%	93.9%	92.9%	95%
26	98.6%	98.4%	98.8%	94.1%	93.1%	95.1%
25	98.6%	98.4%	98.8%	94.3%	93.3%	95.2%
24	98.7%	98.5%	98.9%	94.5%	93.6%	95.4%
23	98.7%	98.6%	98.9%	94.6%	93.8%	95.5%
22	98.8%	98.7%	99%	94.8%	94%	95.6%
21	98.8%	98.7%	99%	94.9%	94.2%	95.7%
20	98.9%	98.8%	99%	95.1%	94.4%	95.8%
19	98.9%	98.8%	99.1%	95.2%	94.6%	95.9%
18	99%	98.9%	99.1%	95.3%	94.7%	96%
17	99%	98.9%	99.1%	95.4%	94.9%	96%
16	99%	98.9%	99.1%	95.5%	95%	96.1%
15	99.1%	99%	99.2%	95.6%	95.1%	96.2%
14	99.1%	99%	99.2%	95.7%	95.2%	96.2%
13	99.1%	99%	99.2%	95.8%	95.2%	96.3%
12	99.1%	99.1%	99.2%	95.8%	95.3%	96.3%
11	99.2%	99.1%	99.2%	95.9%	95.4%	96.4%
10	99.2%	99.1%	99.3%	95.9%	95.4%	96.4%
9	99.2%	99.2%	99.3%	96%	95.5%	96.5%
8	99.3%	99.2%	99.3%	96.1%	95.6%	96.5%
7	99.3%	99.2%	99.3%	96.1%	95.7%	96.6%
6	99.3%	99.3%	99.4%	96.2%	95.8%	96.7%
5	99.3%	99.3%	99.4%	96.3%	95.9%	96.8%
4	99.3%	99.3%	99.4%	96.5%	96%	96.9%
3	99.4%	99.3%	99.4%	96.6%	96.2%	97%
2	99.4%	99.4%	99.5%	96.9%	96.5%	97.3%
1	99.5%	99.4%	99.5%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 75.4% in Malawi are expected to live past 60, 80.9% and 57.7% past 70, 57.8% and 30.6% past 80, and only 20.2% and 6.79% 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

Malawi

Male

Female

1x

Age	Probability of dying
	China			Malawi
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	35.9%	38.2%	35.3%
99	38.1%	51.3%	36.1%	34.4%	36.8%	33.8%
98	35.7%	46.6%	33.6%	32.6%	35.1%	31.9%
97	33.1%	42.1%	30.9%	31.2%	33.7%	30.4%
96	30.5%	38.1%	28.4%	29.7%	32.3%	28.8%
95	28.2%	34.3%	26.2%	28.1%	30.8%	27.2%
94	25.9%	31%	24.1%	26.3%	29.1%	25.4%
93	23.4%	27.9%	21.7%	24.7%	27.5%	23.7%
92	20.8%	25.2%	19%	23.3%	26%	22.2%
91	18.5%	22.6%	16.6%	21.6%	24.4%	20.5%
90	16.7%	20.4%	14.9%	20.6%	23.3%	19.5%
89	15.1%	18.4%	13.3%	19%	21.7%	17.8%
88	13.6%	16.6%	11.9%	17.8%	20.5%	16.6%
87	12.4%	15%	10.8%	16.6%	19.2%	15.3%
86	11.2%	13.6%	9.72%	15.4%	18%	14.2%
85	10.1%	12.3%	8.73%	14.3%	16.7%	13.1%
84	9.17%	11.2%	7.82%	13.3%	15.6%	12%
83	8.24%	10.1%	6.95%	12.1%	14.4%	10.9%
82	7.35%	9.03%	6.12%	11.1%	13.3%	9.93%
81	6.51%	8.06%	5.36%	10.1%	12.1%	8.87%
80	5.75%	7.17%	4.67%	9.44%	11.4%	8.27%
79	5.09%	6.39%	4.07%	8.65%	10.4%	7.55%
78	4.52%	5.71%	3.56%	8.01%	9.69%	6.95%
77	4.03%	5.14%	3.15%	7.31%	8.88%	6.31%
76	3.62%	4.65%	2.8%	6.76%	8.21%	5.8%
75	3.27%	4.23%	2.5%	6.27%	7.59%	5.34%
74	2.98%	3.86%	2.25%	5.75%	6.98%	4.86%
73	2.69%	3.5%	2.02%	5.28%	6.42%	4.43%
72	2.45%	3.19%	1.81%	4.86%	5.92%	4.05%
71	2.26%	2.96%	1.66%	4.4%	5.38%	3.63%
70	2.04%	2.7%	1.47%	4.11%	5.03%	3.39%
69	1.76%	2.36%	1.22%	3.72%	4.59%	3.03%
68	1.58%	2.14%	1.08%	3.43%	4.25%	2.78%
67	1.48%	2.01%	1%	3.15%	3.93%	2.54%
66	1.37%	1.86%	0.91%	2.9%	3.64%	2.33%
65	1.26%	1.72%	0.83%	2.7%	3.4%	2.17%
64	1.17%	1.59%	0.76%	2.47%	3.15%	1.97%
63	1.06%	1.45%	0.69%	2.27%	2.92%	1.8%
62	0.95%	1.3%	0.61%	2.09%	2.7%	1.65%
61	0.83%	1.14%	0.53%	1.9%	2.48%	1.49%
60	0.73%	1%	0.46%	1.77%	2.32%	1.39%
59	0.64%	0.88%	0.41%	1.62%	2.12%	1.25%
58	0.57%	0.78%	0.36%	1.5%	1.97%	1.15%
57	0.52%	0.71%	0.33%	1.4%	1.83%	1.06%
56	0.48%	0.66%	0.31%	1.31%	1.7%	0.98%
55	0.45%	0.62%	0.29%	1.23%	1.59%	0.91%
54	0.43%	0.59%	0.27%	1.16%	1.49%	0.85%
53	0.41%	0.55%	0.26%	1.09%	1.39%	0.79%
52	0.38%	0.51%	0.24%	1.02%	1.3%	0.74%
51	0.34%	0.46%	0.22%	0.94%	1.21%	0.67%
50	0.3%	0.41%	0.19%	0.89%	1.14%	0.63%
49	0.27%	0.36%	0.17%	0.82%	1.05%	0.58%
48	0.24%	0.32%	0.15%	0.76%	0.98%	0.54%
47	0.22%	0.29%	0.14%	0.7%	0.91%	0.5%
46	0.2%	0.26%	0.13%	0.65%	0.84%	0.46%
45	0.18%	0.24%	0.12%	0.6%	0.79%	0.43%
44	0.17%	0.22%	0.11%	0.56%	0.74%	0.4%
43	0.16%	0.21%	0.11%	0.52%	0.69%	0.37%
42	0.14%	0.19%	0.1%	0.49%	0.65%	0.35%
41	0.13%	0.17%	0.09%	0.45%	0.6%	0.33%
40	0.12%	0.15%	0.08%	0.43%	0.57%	0.31%
39	0.1%	0.13%	0.07%	0.4%	0.53%	0.29%
38	0.1%	0.12%	0.07%	0.38%	0.5%	0.27%
37	0.09%	0.11%	0.06%	0.35%	0.47%	0.25%
36	0.08%	0.1%	0.06%	0.33%	0.44%	0.23%
35	0.08%	0.1%	0.06%	0.31%	0.42%	0.22%
34	0.08%	0.1%	0.06%	0.29%	0.39%	0.21%
33	0.08%	0.09%	0.05%	0.28%	0.37%	0.19%
32	0.07%	0.09%	0.05%	0.26%	0.35%	0.18%
31	0.07%	0.09%	0.05%	0.25%	0.33%	0.17%
30	0.07%	0.09%	0.05%	0.24%	0.32%	0.16%
29	0.07%	0.09%	0.05%	0.23%	0.3%	0.15%
28	0.07%	0.08%	0.05%	0.22%	0.29%	0.15%
27	0.07%	0.08%	0.05%	0.21%	0.27%	0.14%
26	0.07%	0.08%	0.05%	0.2%	0.26%	0.13%
25	0.06%	0.08%	0.05%	0.19%	0.25%	0.13%
24	0.06%	0.07%	0.05%	0.18%	0.24%	0.12%
23	0.06%	0.07%	0.04%	0.18%	0.24%	0.12%
22	0.05%	0.07%	0.04%	0.17%	0.23%	0.11%
21	0.05%	0.06%	0.04%	0.16%	0.21%	0.11%
20	0.05%	0.05%	0.03%	0.15%	0.2%	0.1%
19	0.04%	0.05%	0.03%	0.14%	0.19%	0.1%
18	0.04%	0.04%	0.03%	0.13%	0.17%	0.09%
17	0.03%	0.04%	0.03%	0.11%	0.15%	0.08%
16	0.03%	0.04%	0.02%	0.1%	0.12%	0.08%
15	0.03%	0.04%	0.02%	0.09%	0.1%	0.07%
14	0.03%	0.04%	0.02%	0.07%	0.09%	0.06%
13	0.03%	0.04%	0.02%	0.07%	0.08%	0.06%
12	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
11	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
10	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
9	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
8	0.03%	0.03%	0.02%	0.07%	0.08%	0.06%
7	0.02%	0.03%	0.02%	0.08%	0.09%	0.07%
6	0.02%	0.02%	0.02%	0.09%	0.1%	0.08%
5	0.02%	0.02%	0.02%	0.1%	0.11%	0.09%
4	0.02%	0.02%	0.03%	0.13%	0.14%	0.12%
3	0.03%	0.03%	0.03%	0.17%	0.19%	0.16%
2	0.04%	0.04%	0.04%	0.25%	0.27%	0.22%
1	0.05%	0.05%	0.05%	0.39%	0.42%	0.36%
0	0.54%	0.59%	0.49%	2.76%	3.13%	2.38%

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

The annual chance of dying is 0.54% in the birth year in China and 2.76% in Malawi, 0.07% vs 0.24% at age 30, 0.73% vs 1.77% at 60, and 5.75% vs 9.44% at 80.

Death rate by age in China vs Malawi

Chart Table

China

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	China			Malawi
	Total	Male	Female	Total	Male	Female
100	145	0	355	34.7	0.008	71
99	505	196.9	819	145.2	62.6	229.1
98	735	334	1,147	204.3	91.9	318
97	1,018	523	1,530	283.6	133.3	435
96	1,350	762	1,962	384	188.4	580
95	1,738	1,046	2,458	505	259.5	751
94	2,153	1,368	2,972	643	345	939
93	2,544	1,713	3,413	802	451	1,153
92	2,856	2,061	3,693	983	576	1,387
91	3,108	2,396	3,865	1,166	714	1,612
90	3,366	2,708	4,066	1,399	890	1,900
89	3,582	2,988	4,200	1,594	1,061	2,117
88	3,745	3,232	4,268	1,819	1,259	2,365
87	3,880	3,440	4,326	2,026	1,457	2,578
86	3,965	3,608	4,325	2,231	1,664	2,778
85	3,995	3,731	4,256	2,412	1,861	2,944
84	3,972	3,803	4,134	2,577	2,061	3,073
83	3,891	3,816	3,953	2,684	2,217	3,131
82	3,745	3,764	3,707	2,777	2,368	3,168
81	3,550	3,655	3,426	2,788	2,455	3,104
80	3,328	3,503	3,132	2,887	2,601	3,158
79	3,103	3,332	2,846	2,894	2,661	3,115
78	2,884	3,160	2,586	2,915	2,734	3,085
77	2,680	2,998	2,356	2,869	2,749	2,989
76	2,497	2,846	2,155	2,847	2,770	2,916
75	2,336	2,704	1,979	2,815	2,769	2,834
74	2,190	2,566	1,823	2,739	2,737	2,711
73	2,034	2,410	1,665	2,655	2,691	2,586
72	1,895	2,269	1,525	2,572	2,639	2,467
71	1,792	2,168	1,415	2,433	2,537	2,293
70	1,654	2,034	1,272	2,371	2,494	2,214
69	1,448	1,822	1,069	2,226	2,386	2,040
68	1,325	1,689	956	2,127	2,309	1,930
67	1,260	1,614	898	2,016	2,222	1,808
66	1,179	1,527	825	1,912	2,137	1,699
65	1,103	1,438	761	1,828	2,067	1,615
64	1,030	1,348	703	1,716	1,973	1,499
63	946	1,247	635	1,612	1,883	1,395
62	853	1,133	564	1,516	1,794	1,300
61	757	1,009	498	1,405	1,687	1,188
60	668	892	436	1,338	1,616	1,125
59	590	791	383	1,239	1,510	1,025
58	527	706	342	1,171	1,430	958
57	482	645	313	1,102	1,350	887
56	451	603	292	1,048	1,282	833
55	427	572	276.5	996	1,219	778
54	408	546	263.3	949	1,157	731
53	387	518	249.2	900	1,096	684
52	360	482	231.3	855	1,040	645
51	327	438	210	798	975	592
50	290.9	390	187.2	759	929	563
49	257.4	344	166.1	702	865	517
48	229.6	306	149.2	655	813	482
47	208.9	276.7	137.2	609	762	446
46	192.8	253.9	128.1	568	716	416
45	178.6	234	119.7	533	677	392
44	165.2	215.7	111.4	496	634	365
43	152.2	198	103.3	465	598	343
42	139.1	180	95.4	438	566	324
41	126	161.9	87.5	408	530	299.9
40	113.4	144.6	79.7	388	506	285.2
39	102.3	129.3	72.9	363	474	265.1
38	93	116.7	67.2	343	449	249.3
37	86	107.2	62.7	322	423	232
36	81	100.6	59.2	304	399	218.8
35	77.6	96.3	56.7	288.1	378	205.9
34	75.4	93.5	55	271.5	356	192.6
33	73.9	91.7	53.8	257	337	181.7
32	72.9	90.3	53	244.2	320	171.7
31	71.6	88.7	51.9	230.4	302	160.6
30	70	86.7	50.7	222	290.7	154.7
29	68.3	84.6	49.4	210.9	276.4	146.2
28	67	82.9	48.7	201.9	265	139.1
27	65.8	81	48.1	193.4	254.5	132.5
26	64.1	78.3	47.4	185.6	245.1	126.3
25	62.2	75.4	46.7	178.7	237.2	120.4
24	60.3	72.7	45.8	172.2	229	115.6
23	57.6	69	44.1	165.6	221	110.5
22	53.9	64.4	41.5	158.7	211.8	105.8
21	49.4	59.1	38.1	151	201	101.2
20	44.8	53.7	34.3	143.1	189.1	97.4
19	40.4	48.5	30.8	133.8	175.4	92.3
18	36.6	44.2	27.6	123.3	160.2	86.6
17	33.6	40.9	25	108.6	137.6	79.6
16	31.4	38.5	23.1	94.9	117	72.7
15	30	36.9	21.9	82	98.8	65.2
14	29.2	35.9	21.3	71.7	85	58.4
13	28.7	35.2	21.2	64.5	75.3	53.7
12	28.2	34.1	21.3	60.4	70.1	50.6
11	27.5	32.7	21.6	59	68.1	49.8
10	27.6	32	22.6	59.7	68.2	51.1
9	27.6	31.1	23.5	62.8	71.3	54.1
8	26.3	28.8	23.3	68.3	77.3	59.2
7	24.2	25.8	22.4	76.3	85.7	66.7
6	22.5	23.1	21.8	85.9	95.4	76.4
5	22.3	22.3	22.4	100.2	110	90.4
4	24.6	24.2	25	126.8	139.2	114.2
3	29.6	29.3	29.9	168.3	184.6	151.7
2	36.1	35.9	36.3	237.5	258.9	215.8
1	45.9	46.8	44.9	379	404	353
0	540	585	490	2,759	3,129	2,385

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 78 in Malawi. The median age of death is 82.3 in China and 73.1 in Malawi, 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 Malawi more than their death rates.

Life expectancy in other countries

+ -

1x