Life Expectancy in China vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	China			South Africa
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	103.4	103.1	103.5
99	101	100.6	101.1	102.5	102.3	102.6
98	100.1	99.6	100.2	101.7	101.5	101.7
97	99.3	98.7	99.4	100.8	100.7	100.9
96	98.4	97.9	98.6	100	99.9	100
95	97.6	97.1	97.8	99.2	99.1	99.2
94	96.8	96.3	97	98.4	98.3	98.4
93	96	95.5	96.2	97.6	97.5	97.7
92	95.3	94.7	95.5	96.9	96.7	96.9
91	94.6	94	94.9	96.1	96	96.2
90	93.9	93.3	94.2	95.4	95.2	95.5
89	93.2	92.6	93.6	94.7	94.4	94.8
88	92.6	91.9	93	94	93.7	94.1
87	92	91.3	92.4	93.3	92.9	93.4
86	91.4	90.6	91.8	92.6	92.2	92.7
85	90.8	90	91.3	91.9	91.5	92.1
84	90.2	89.4	90.7	91.3	90.8	91.5
83	89.6	88.8	90.2	90.6	90.1	90.9
82	89.1	88.2	89.8	90	89.4	90.3
81	88.6	87.7	89.3	89.4	88.7	89.7
80	88.1	87.2	88.9	88.8	88	89.1
79	87.7	86.7	88.5	88.1	87.4	88.5
78	87.3	86.2	88.2	87.5	86.7	88
77	86.9	85.8	87.8	86.9	86	87.4
76	86.5	85.3	87.5	86.3	85.3	86.9
75	86.2	84.9	87.2	85.7	84.7	86.4
74	85.8	84.5	86.9	85.2	84	85.9
73	85.5	84.1	86.7	84.6	83.4	85.4
72	85.2	83.7	86.4	84.1	82.8	84.9
71	84.9	83.4	86.1	83.6	82.2	84.5
70	84.6	83	85.9	83.1	81.7	84.1
69	84.3	82.7	85.7	82.6	81.1	83.6
68	84	82.4	85.5	82.1	80.5	83.2
67	83.8	82.1	85.4	81.6	80	82.8
66	83.6	81.8	85.2	81.2	79.4	82.4
65	83.3	81.5	85	80.7	78.9	82.1
64	83.1	81.3	84.9	80.3	78.4	81.7
63	82.9	81	84.7	79.9	77.9	81.4
62	82.7	80.8	84.6	79.4	77.4	81
61	82.5	80.6	84.5	79	76.9	80.7
60	82.4	80.4	84.3	78.7	76.5	80.4
59	82.2	80.2	84.2	78.3	76	80.1
58	82.1	80	84.2	77.9	75.6	79.8
57	82	79.8	84.1	77.5	75.2	79.5
56	81.8	79.7	84	77.2	74.8	79.2
55	81.7	79.5	83.9	76.9	74.4	78.9
54	81.6	79.4	83.8	76.5	74	78.7
53	81.5	79.2	83.7	76.2	73.6	78.4
52	81.4	79.1	83.7	75.9	73.3	78.2
51	81.3	79	83.6	75.6	72.9	77.9
50	81.2	78.9	83.5	75.3	72.6	77.7
49	81.1	78.8	83.5	75	72.2	77.4
48	81	78.7	83.4	74.7	71.9	77.2
47	81	78.6	83.4	74.4	71.6	77
46	80.9	78.5	83.3	74.2	71.3	76.7
45	80.8	78.4	83.3	73.9	71	76.5
44	80.8	78.3	83.2	73.6	70.7	76.3
43	80.7	78.3	83.2	73.4	70.4	76.1
42	80.6	78.2	83.1	73.1	70.2	75.8
41	80.6	78.1	83.1	72.9	69.9	75.6
40	80.5	78.1	83.1	72.6	69.7	75.4
39	80.5	78	83	72.4	69.4	75.2
38	80.5	78	83	72.2	69.2	75
37	80.4	77.9	83	72	68.9	74.8
36	80.4	77.9	83	71.8	68.7	74.6
35	80.4	77.8	82.9	71.6	68.5	74.5
34	80.3	77.8	82.9	71.4	68.3	74.3
33	80.3	77.8	82.9	71.2	68.1	74.1
32	80.2	77.7	82.8	71	67.9	73.9
31	80.2	77.7	82.8	70.8	67.7	73.8
30	80.2	77.6	82.8	70.6	67.5	73.6
29	80.1	77.6	82.8	70.4	67.3	73.5
28	80.1	77.6	82.7	70.3	67.1	73.3
27	80.1	77.5	82.7	70.1	66.9	73.2
26	80	77.5	82.7	70	66.8	73.1
25	80	77.4	82.7	69.9	66.6	73
24	80	77.4	82.6	69.7	66.5	72.9
23	79.9	77.4	82.6	69.6	66.3	72.8
22	79.9	77.3	82.6	69.5	66.2	72.7
21	79.9	77.3	82.6	69.4	66.1	72.6
20	79.8	77.3	82.5	69.3	66	72.6
19	79.8	77.2	82.5	69.2	65.9	72.5
18	79.8	77.2	82.5	69.2	65.8	72.4
17	79.8	77.2	82.5	69.1	65.7	72.4
16	79.8	77.2	82.5	69	65.7	72.3
15	79.7	77.1	82.4	69	65.6	72.3
14	79.7	77.1	82.4	68.9	65.6	72.3
13	79.7	77.1	82.4	68.9	65.5	72.2
12	79.7	77.1	82.4	68.9	65.5	72.2
11	79.7	77	82.4	68.9	65.5	72.2
10	79.6	77	82.4	68.8	65.4	72.2
9	79.6	77	82.4	68.8	65.4	72.1
8	79.6	77	82.3	68.8	65.4	72.1
7	79.6	77	82.3	68.8	65.4	72.1
6	79.6	76.9	82.3	68.7	65.3	72.1
5	79.6	76.9	82.3	68.7	65.3	72
4	79.5	76.9	82.3	68.6	65.2	72
3	79.5	76.9	82.2	68.5	65.1	71.9
2	79.5	76.9	82.2	68.4	64.9	71.8
1	79.5	76.8	82.2	68.1	64.7	71.5
0	79	76.4	81.8	66.7	63.1	70.2

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 70.6 in South Africa, rising to 83.3 and 80.7 at 65, and to 88.1 and 88.8 at 80 — higher than the 79 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	China			South Africa
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	1.63%	1%	2.22%
99	1.33%	0.38%	2.27%	2.11%	1.28%	2.88%
98	2.06%	0.72%	3.42%	2.68%	1.62%	3.67%
97	3.08%	1.24%	4.95%	3.36%	2.02%	4.59%
96	4.43%	2%	6.91%	4.15%	2.5%	5.67%
95	6.17%	3.05%	9.37%	5.06%	3.06%	6.91%
94	8.32%	4.42%	12.3%	6.09%	3.7%	8.3%
93	10.9%	6.13%	15.8%	7.24%	4.43%	9.84%
92	13.7%	8.19%	19.4%	8.49%	5.25%	11.5%
91	16.8%	10.6%	23.3%	9.86%	6.16%	13.3%
90	20.2%	13.3%	27.4%	11.3%	7.18%	15.2%
89	23.8%	16.3%	31.6%	12.9%	8.29%	17.3%
88	27.5%	19.5%	35.8%	14.6%	9.51%	19.4%
87	31.4%	23%	40.2%	16.4%	10.8%	21.7%
86	35.4%	26.6%	44.5%	18.2%	12.2%	24%
85	39.4%	30.3%	48.8%	20.1%	13.7%	26.3%
84	43.3%	34.1%	52.9%	22.1%	15.2%	28.6%
83	47.2%	37.9%	56.8%	24%	16.8%	31%
82	51%	41.7%	60.5%	26%	18.5%	33.4%
81	54.5%	45.3%	64%	28.1%	20.2%	35.8%
80	57.8%	48.8%	67.1%	30.2%	22%	38.2%
79	60.9%	52.2%	70%	32.3%	23.9%	40.6%
78	63.8%	55.3%	72.5%	34.6%	25.9%	43%
77	66.5%	58.3%	74.9%	36.8%	28%	45.4%
76	69%	61.2%	77%	39%	30.1%	47.7%
75	71.3%	63.9%	79%	41.2%	32.3%	50%
74	73.5%	66.4%	80.8%	43.4%	34.4%	52.1%
73	75.6%	68.9%	82.5%	45.5%	36.6%	54.2%
72	77.5%	71.1%	84%	47.5%	38.7%	56.2%
71	79.3%	73.3%	85.5%	49.6%	40.8%	58.2%
70	80.9%	75.3%	86.7%	51.6%	42.9%	60%
69	82.4%	77.1%	87.8%	53.5%	45.1%	61.9%
68	83.7%	78.8%	88.8%	55.5%	47.2%	63.6%
67	84.9%	80.4%	89.6%	57.3%	49.3%	65.3%
66	86.1%	82%	90.5%	59.2%	51.4%	66.8%
65	87.2%	83.4%	91.2%	60.9%	53.4%	68.3%
64	88.3%	84.8%	91.9%	62.6%	55.4%	69.8%
63	89.2%	86%	92.6%	64.2%	57.3%	71.1%
62	90.1%	87.1%	93.1%	65.7%	59.1%	72.4%
61	90.8%	88.1%	93.6%	67.2%	60.9%	73.6%
60	91.5%	89%	94.1%	68.7%	62.6%	74.7%
59	92.1%	89.8%	94.5%	70%	64.3%	75.9%
58	92.6%	90.5%	94.8%	71.4%	65.9%	76.9%
57	93.1%	91.2%	95.1%	72.7%	67.5%	78%
56	93.5%	91.8%	95.4%	73.9%	69%	78.9%
55	94%	92.4%	95.7%	75.1%	70.5%	79.9%
54	94.4%	92.9%	95.9%	76.2%	71.9%	80.7%
53	94.8%	93.4%	96.2%	77.3%	73.2%	81.6%
52	95.1%	93.9%	96.4%	78.4%	74.5%	82.4%
51	95.4%	94.3%	96.6%	79.4%	75.7%	83.1%
50	95.7%	94.7%	96.8%	80.3%	76.9%	83.9%
49	96%	95.1%	97%	81.2%	78%	84.6%
48	96.2%	95.4%	97.1%	82.1%	79.1%	85.3%
47	96.4%	95.7%	97.3%	83%	80.1%	85.9%
46	96.6%	95.9%	97.4%	83.8%	81.1%	86.6%
45	96.8%	96.1%	97.5%	84.6%	82%	87.2%
44	97%	96.4%	97.6%	85.3%	82.9%	87.8%
43	97.1%	96.6%	97.7%	86%	83.7%	88.4%
42	97.3%	96.7%	97.8%	86.7%	84.5%	89%
41	97.4%	96.9%	97.9%	87.4%	85.3%	89.6%
40	97.5%	97%	98%	88.1%	86%	90.1%
39	97.6%	97.2%	98.1%	88.7%	86.7%	90.6%
38	97.7%	97.3%	98.1%	89.2%	87.4%	91.1%
37	97.8%	97.4%	98.2%	89.8%	88.1%	91.6%
36	97.9%	97.5%	98.3%	90.4%	88.7%	92%
35	97.9%	97.6%	98.3%	90.9%	89.3%	92.5%
34	98%	97.7%	98.4%	91.4%	89.9%	92.9%
33	98.1%	97.8%	98.4%	91.8%	90.4%	93.3%
32	98.2%	97.9%	98.5%	92.3%	91%	93.6%
31	98.2%	98%	98.5%	92.7%	91.5%	94%
30	98.3%	98%	98.6%	93.1%	91.9%	94.3%
29	98.4%	98.1%	98.6%	93.5%	92.4%	94.6%
28	98.4%	98.2%	98.7%	93.9%	92.8%	94.9%
27	98.5%	98.3%	98.7%	94.2%	93.2%	95.2%
26	98.6%	98.4%	98.8%	94.5%	93.6%	95.4%
25	98.6%	98.4%	98.8%	94.8%	94%	95.7%
24	98.7%	98.5%	98.9%	95.1%	94.3%	95.9%
23	98.7%	98.6%	98.9%	95.3%	94.6%	96%
22	98.8%	98.7%	99%	95.5%	94.9%	96.2%
21	98.8%	98.7%	99%	95.7%	95.1%	96.3%
20	98.9%	98.8%	99%	95.9%	95.4%	96.5%
19	98.9%	98.8%	99.1%	96.1%	95.6%	96.6%
18	99%	98.9%	99.1%	96.2%	95.7%	96.7%
17	99%	98.9%	99.1%	96.3%	95.9%	96.8%
16	99%	98.9%	99.1%	96.4%	96%	96.9%
15	99.1%	99%	99.2%	96.5%	96.1%	97%
14	99.1%	99%	99.2%	96.6%	96.2%	97%
13	99.1%	99%	99.2%	96.6%	96.2%	97.1%
12	99.1%	99.1%	99.2%	96.7%	96.3%	97.1%
11	99.2%	99.1%	99.2%	96.7%	96.3%	97.1%
10	99.2%	99.1%	99.3%	96.8%	96.4%	97.2%
9	99.2%	99.2%	99.3%	96.8%	96.4%	97.2%
8	99.3%	99.2%	99.3%	96.8%	96.5%	97.2%
7	99.3%	99.2%	99.3%	96.9%	96.5%	97.3%
6	99.3%	99.3%	99.4%	96.9%	96.6%	97.3%
5	99.3%	99.3%	99.4%	97%	96.7%	97.4%
4	99.3%	99.3%	99.4%	97.1%	96.8%	97.4%
3	99.4%	99.3%	99.4%	97.2%	96.9%	97.6%
2	99.4%	99.4%	99.5%	97.5%	97.2%	97.8%
1	99.5%	99.4%	99.5%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 68.7% in South Africa are expected to live past 60, 80.9% and 51.6% past 70, 57.8% and 30.2% past 80, and only 20.2% and 11.3% 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

South Africa

Male

Female

1x

Age	Probability of dying
	China			South Africa
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	23.6%	22.9%	23.9%
99	38.1%	51.3%	36.1%	22.5%	22%	22.8%
98	35.7%	46.6%	33.6%	21.3%	21%	21.5%
97	33.1%	42.1%	30.9%	20.2%	20%	20.2%
96	30.5%	38.1%	28.4%	19%	19.1%	19%
95	28.2%	34.3%	26.2%	18%	18.2%	17.9%
94	25.9%	31%	24.1%	16.9%	17.3%	16.8%
93	23.4%	27.9%	21.7%	15.9%	16.5%	15.6%
92	20.8%	25.2%	19%	14.8%	15.6%	14.5%
91	18.5%	22.6%	16.6%	13.8%	14.8%	13.5%
90	16.7%	20.4%	14.9%	13%	14.1%	12.6%
89	15.1%	18.4%	13.3%	12.3%	13.5%	11.8%
88	13.6%	16.6%	11.9%	11.5%	12.8%	11.1%
87	12.4%	15%	10.8%	10.8%	12.1%	10.3%
86	11.2%	13.6%	9.72%	10.1%	11.4%	9.6%
85	10.1%	12.3%	8.73%	9.43%	10.7%	8.88%
84	9.17%	11.2%	7.82%	8.78%	10%	8.21%
83	8.24%	10.1%	6.95%	8.21%	9.46%	7.62%
82	7.35%	9.03%	6.12%	7.71%	8.97%	7.1%
81	6.51%	8.06%	5.36%	7.3%	8.57%	6.66%
80	5.75%	7.17%	4.67%	6.96%	8.26%	6.28%
79	5.09%	6.39%	4.07%	6.67%	8%	5.94%
78	4.52%	5.71%	3.56%	6.37%	7.73%	5.61%
77	4.03%	5.14%	3.15%	6.06%	7.42%	5.26%
76	3.62%	4.65%	2.8%	5.71%	7.05%	4.89%
75	3.27%	4.23%	2.5%	5.35%	6.64%	4.53%
74	2.98%	3.86%	2.25%	4.98%	6.22%	4.17%
73	2.69%	3.5%	2.02%	4.64%	5.83%	3.85%
72	2.45%	3.19%	1.81%	4.34%	5.49%	3.57%
71	2.26%	2.96%	1.66%	4.09%	5.2%	3.33%
70	2.04%	2.7%	1.47%	3.87%	4.95%	3.12%
69	1.76%	2.36%	1.22%	3.67%	4.72%	2.92%
68	1.58%	2.14%	1.08%	3.48%	4.5%	2.74%
67	1.48%	2.01%	1%	3.28%	4.28%	2.55%
66	1.37%	1.86%	0.91%	3.08%	4.04%	2.37%
65	1.26%	1.72%	0.83%	2.88%	3.79%	2.19%
64	1.17%	1.59%	0.76%	2.68%	3.55%	2.03%
63	1.06%	1.45%	0.69%	2.5%	3.32%	1.88%
62	0.95%	1.3%	0.61%	2.34%	3.11%	1.75%
61	0.83%	1.14%	0.53%	2.2%	2.93%	1.65%
60	0.73%	1%	0.46%	2.08%	2.76%	1.55%
59	0.64%	0.88%	0.41%	1.98%	2.61%	1.47%
58	0.57%	0.78%	0.36%	1.88%	2.47%	1.39%
57	0.52%	0.71%	0.33%	1.78%	2.33%	1.32%
56	0.48%	0.66%	0.31%	1.68%	2.2%	1.24%
55	0.45%	0.62%	0.29%	1.58%	2.07%	1.16%
54	0.43%	0.59%	0.27%	1.49%	1.94%	1.09%
53	0.41%	0.55%	0.26%	1.4%	1.83%	1.02%
52	0.38%	0.51%	0.24%	1.32%	1.72%	0.96%
51	0.34%	0.46%	0.22%	1.25%	1.62%	0.91%
50	0.3%	0.41%	0.19%	1.19%	1.52%	0.87%
49	0.27%	0.36%	0.17%	1.13%	1.44%	0.84%
48	0.24%	0.32%	0.15%	1.08%	1.35%	0.8%
47	0.22%	0.29%	0.14%	1.03%	1.28%	0.78%
46	0.2%	0.26%	0.13%	0.98%	1.2%	0.75%
45	0.18%	0.24%	0.12%	0.93%	1.13%	0.73%
44	0.17%	0.22%	0.11%	0.88%	1.07%	0.7%
43	0.16%	0.21%	0.11%	0.84%	1.01%	0.68%
42	0.14%	0.19%	0.1%	0.8%	0.95%	0.65%
41	0.13%	0.17%	0.09%	0.76%	0.9%	0.63%
40	0.12%	0.15%	0.08%	0.73%	0.86%	0.6%
39	0.1%	0.13%	0.07%	0.69%	0.82%	0.57%
38	0.1%	0.12%	0.07%	0.66%	0.78%	0.54%
37	0.09%	0.11%	0.06%	0.63%	0.74%	0.51%
36	0.08%	0.1%	0.06%	0.6%	0.71%	0.49%
35	0.08%	0.1%	0.06%	0.57%	0.67%	0.46%
34	0.08%	0.1%	0.06%	0.54%	0.64%	0.44%
33	0.08%	0.09%	0.05%	0.51%	0.61%	0.42%
32	0.07%	0.09%	0.05%	0.49%	0.58%	0.4%
31	0.07%	0.09%	0.05%	0.46%	0.55%	0.38%
30	0.07%	0.09%	0.05%	0.44%	0.52%	0.36%
29	0.07%	0.09%	0.05%	0.41%	0.5%	0.33%
28	0.07%	0.08%	0.05%	0.39%	0.47%	0.31%
27	0.07%	0.08%	0.05%	0.36%	0.44%	0.28%
26	0.07%	0.08%	0.05%	0.33%	0.41%	0.25%
25	0.06%	0.08%	0.05%	0.3%	0.38%	0.23%
24	0.06%	0.07%	0.05%	0.28%	0.35%	0.2%
23	0.06%	0.07%	0.04%	0.25%	0.32%	0.18%
22	0.05%	0.07%	0.04%	0.23%	0.29%	0.17%
21	0.05%	0.06%	0.04%	0.21%	0.26%	0.15%
20	0.05%	0.05%	0.03%	0.19%	0.23%	0.14%
19	0.04%	0.05%	0.03%	0.16%	0.2%	0.13%
18	0.04%	0.04%	0.03%	0.14%	0.18%	0.11%
17	0.03%	0.04%	0.03%	0.12%	0.15%	0.1%
16	0.03%	0.04%	0.02%	0.11%	0.12%	0.09%
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%	0.06%	0.07%	0.05%
12	0.03%	0.03%	0.02%	0.05%	0.06%	0.04%
11	0.03%	0.03%	0.02%	0.04%	0.05%	0.04%
10	0.03%	0.03%	0.02%	0.04%	0.05%	0.03%
9	0.03%	0.03%	0.02%	0.04%	0.05%	0.03%
8	0.03%	0.03%	0.02%	0.04%	0.05%	0.03%
7	0.02%	0.03%	0.02%	0.04%	0.05%	0.04%
6	0.02%	0.02%	0.02%	0.05%	0.06%	0.04%
5	0.02%	0.02%	0.02%	0.07%	0.08%	0.06%
4	0.02%	0.02%	0.03%	0.1%	0.11%	0.08%
3	0.03%	0.03%	0.03%	0.15%	0.17%	0.12%
2	0.04%	0.04%	0.04%	0.22%	0.25%	0.2%
1	0.05%	0.05%	0.05%	0.35%	0.38%	0.32%
0	0.54%	0.59%	0.49%	2.19%	2.44%	1.93%

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

The annual chance of dying is 0.54% in the birth year in China and 2.19% in South Africa, 0.07% vs 0.44% at age 30, 0.73% vs 2.08% at 60, and 5.75% vs 6.96% at 80.

Death rate by age in China vs South Africa

Chart Table

China

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	China			South Africa
	Total	Male	Female	Total	Male	Female
100	145	0	355	359	204.6	501
99	505	196.9	819	475	280.8	655
98	735	334	1,147	572	340	787
97	1,018	523	1,530	677	406	928
96	1,350	762	1,962	789	478	1,077
95	1,738	1,046	2,458	909	558	1,236
94	2,153	1,368	2,972	1,031	642	1,393
93	2,544	1,713	3,413	1,148	729	1,540
92	2,856	2,061	3,693	1,257	818	1,670
91	3,108	2,396	3,865	1,363	912	1,794
90	3,366	2,708	4,066	1,476	1,014	1,924
89	3,582	2,988	4,200	1,585	1,118	2,045
88	3,745	3,232	4,268	1,686	1,220	2,150
87	3,880	3,440	4,326	1,775	1,315	2,238
86	3,965	3,608	4,325	1,845	1,397	2,299
85	3,995	3,731	4,256	1,897	1,467	2,335
84	3,972	3,803	4,134	1,937	1,530	2,353
83	3,891	3,816	3,953	1,972	1,591	2,363
82	3,745	3,764	3,707	2,008	1,656	2,371
81	3,550	3,655	3,426	2,052	1,732	2,383
80	3,328	3,503	3,132	2,102	1,819	2,399
79	3,103	3,332	2,846	2,156	1,914	2,411
78	2,884	3,160	2,586	2,202	2,006	2,410
77	2,680	2,998	2,356	2,228	2,080	2,386
76	2,497	2,846	2,155	2,228	2,126	2,335
75	2,336	2,704	1,979	2,204	2,144	2,262
74	2,190	2,566	1,823	2,161	2,141	2,176
73	2,034	2,410	1,665	2,112	2,132	2,089
72	1,895	2,269	1,525	2,066	2,123	2,008
71	1,792	2,168	1,415	2,028	2,121	1,936
70	1,654	2,034	1,272	1,997	2,124	1,871
69	1,448	1,822	1,069	1,966	2,128	1,807
68	1,325	1,689	956	1,929	2,124	1,740
67	1,260	1,614	898	1,882	2,108	1,667
66	1,179	1,527	825	1,822	2,074	1,585
65	1,103	1,438	761	1,752	2,025	1,500
64	1,030	1,348	703	1,679	1,965	1,415
63	946	1,247	635	1,606	1,901	1,337
62	853	1,133	564	1,540	1,839	1,269
61	757	1,009	498	1,482	1,782	1,211
60	668	892	436	1,431	1,730	1,162
59	590	791	383	1,384	1,679	1,116
58	527	706	342	1,339	1,629	1,072
57	482	645	313	1,292	1,575	1,026
56	451	603	292	1,242	1,519	978
55	427	572	276.5	1,190	1,459	929
54	408	546	263.3	1,137	1,397	881
53	387	518	249.2	1,085	1,337	835
52	360	482	231.3	1,037	1,279	795
51	327	438	210	994	1,223	760
50	290.9	390	187.2	954	1,171	731
49	257.4	344	166.1	918	1,120	707
48	229.6	306	149.2	883	1,071	686
47	208.9	276.7	137.2	850	1,022	668
46	192.8	253.9	128.1	818	974	652
45	178.6	234	119.7	786	928	635
44	165.2	215.7	111.4	755	884	619
43	152.2	198	103.3	724	842	601
42	139.1	180	95.4	695	804	581
41	126	161.9	87.5	667	770	560
40	113.4	144.6	79.7	639	738	538
39	102.3	129.3	72.9	613	708	515
38	93	116.7	67.2	587	680	492
37	86	107.2	62.7	562	653	470
36	81	100.6	59.2	538	626	449
35	77.6	96.3	56.7	515	600	429
34	75.4	93.5	55	493	575	410
33	73.9	91.7	53.8	471	551	392
32	72.9	90.3	53	450	527	374
31	71.6	88.7	51.9	429	504	355
30	70	86.7	50.7	408	481	335
29	68.3	84.6	49.4	386	458	314
28	67	82.9	48.7	363	434	291.3
27	65.8	81	48.1	339	410	266.7
26	64.1	78.3	47.4	314	384	241.5
25	62.2	75.4	46.7	289.1	358	217.1
24	60.3	72.7	45.8	264.7	331	195.1
23	57.6	69	44.1	241.4	304	176
22	53.9	64.4	41.5	219.2	276.6	159.6
21	49.4	59.1	38.1	198.1	249	145.6
20	44.8	53.7	34.3	177.8	221.4	133.1
19	40.4	48.5	30.8	158	194.2	121.2
18	36.6	44.2	27.6	138.5	167.7	108.8
17	33.6	40.9	25	119.5	142.6	96
16	31.4	38.5	23.1	101.4	119.6	82.9
15	30	36.9	21.9	85	99.4	70.2
14	29.2	35.9	21.3	70.7	82.4	58.8
13	28.7	35.2	21.2	58.9	68.7	49
12	28.2	34.1	21.3	49.7	58.1	41.1
11	27.5	32.7	21.6	43	50.5	35.3
10	27.6	32	22.6	38.7	45.8	31.6
9	27.6	31.1	23.5	37	43.9	30
8	26.3	28.8	23.3	37.9	45.2	30.6
7	24.2	25.8	22.4	42.2	50.2	34.1
6	22.5	23.1	21.8	51.2	60.6	41.7
5	22.3	22.3	22.4	67.2	79	55.4
4	24.6	24.2	25	95.3	110.3	80
3	29.6	29.3	29.9	141.9	161.3	121.7
2	36.1	35.9	36.3	218.6	243.8	192.5
1	45.9	46.8	44.9	343	375	310
0	540	585	490	2,192	2,441	1,934

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 77 in South Africa. The median age of death is 82.3 in China and 70.8 in South Africa, 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 South Africa more than their death rates.

Life expectancy in other countries

+ -

1x