Life Expectancy in China vs South Africa (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in China vs South Africa: 79.6 years vs 70.5 at 30, 82.9 vs 80.7 at 65, 87.9 vs 88.7 at 80 — significantly higher than the 78.4 vs 66.5 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in China and South Africa.

Table

Current age, years	Total life expectancy, years
	China			South Africa
	Average	Male	Female	Average	Male	Female
0	78.4	75.7	81.2	66.5	63	70
1	78.8	76.2	81.7	68	64.6	71.4
2	78.9	76.2	81.7	68.2	64.8	71.6
3	78.9	76.2	81.8	68.4	65	71.8
4	78.9	76.2	81.8	68.5	65.1	71.8
5	79	76.3	81.8	68.6	65.1	71.9
6	79	76.3	81.8	68.6	65.2	71.9
7	79	76.3	81.8	68.6	65.2	72
8	79	76.3	81.9	68.7	65.3	72
9	79	76.3	81.9	68.7	65.3	72
10	79.1	76.4	81.9	68.7	65.3	72
11	79.1	76.4	81.9	68.7	65.3	72
12	79.1	76.4	81.9	68.8	65.4	72.1
13	79.1	76.4	82	68.8	65.4	72.1
14	79.1	76.5	82	68.8	65.4	72.1
15	79.2	76.5	82	68.9	65.5	72.2
16	79.2	76.5	82	68.9	65.5	72.2
17	79.2	76.5	82	69	65.6	72.3
18	79.2	76.6	82	69	65.7	72.3
19	79.3	76.6	82.1	69.1	65.8	72.4
20	79.3	76.6	82.1	69.2	65.8	72.4
21	79.3	76.7	82.1	69.3	66	72.5
22	79.3	76.7	82.1	69.4	66.1	72.6
23	79.4	76.7	82.1	69.5	66.2	72.7
24	79.4	76.8	82.2	69.6	66.3	72.8
25	79.4	76.8	82.2	69.7	66.5	72.9
26	79.5	76.9	82.2	69.9	66.7	73
27	79.5	76.9	82.3	70	66.8	73.1
28	79.6	76.9	82.3	70.2	67	73.2
29	79.6	77	82.3	70.3	67.2	73.4
30	79.6	77	82.3	70.5	67.4	73.5
31	79.7	77.1	82.4	70.7	67.6	73.7
32	79.7	77.1	82.4	70.9	67.8	73.8
33	79.7	77.2	82.4	71.1	68	74
34	79.8	77.2	82.5	71.3	68.2	74.2
35	79.8	77.3	82.5	71.5	68.4	74.4
36	79.9	77.3	82.5	71.7	68.6	74.5
37	79.9	77.3	82.5	71.9	68.9	74.7
38	79.9	77.4	82.6	72.1	69.1	74.9
39	80	77.4	82.6	72.3	69.4	75.1
40	80	77.5	82.6	72.6	69.6	75.3
41	80.1	77.6	82.7	72.8	69.9	75.6
42	80.1	77.6	82.7	73.1	70.1	75.8
43	80.2	77.7	82.8	73.3	70.4	76
44	80.2	77.8	82.8	73.6	70.7	76.2
45	80.3	77.8	82.9	73.8	70.9	76.4
46	80.4	77.9	82.9	74.1	71.2	76.7
47	80.5	78	83	74.4	71.5	76.9
48	80.5	78.1	83	74.6	71.9	77.1
49	80.6	78.2	83.1	74.9	72.2	77.4
50	80.7	78.3	83.1	75.2	72.5	77.6
51	80.8	78.4	83.2	75.5	72.9	77.9
52	80.9	78.6	83.3	75.8	73.2	78.1
53	81	78.7	83.3	76.2	73.6	78.3
54	81.1	78.9	83.4	76.5	73.9	78.6
55	81.3	79	83.5	76.8	74.3	78.9
56	81.4	79.2	83.6	77.2	74.7	79.2
57	81.5	79.3	83.7	77.5	75.1	79.4
58	81.6	79.5	83.8	77.9	75.6	79.7
59	81.8	79.7	83.9	78.2	76	80
60	81.9	79.9	84	78.6	76.5	80.3
61	82.1	80.1	84.1	79	76.9	80.7
62	82.3	80.3	84.2	79.4	77.4	81
63	82.5	80.6	84.4	79.8	77.9	81.3
64	82.7	80.8	84.5	80.2	78.4	81.7
65	82.9	81.1	84.7	80.7	78.9	82
66	83.2	81.4	84.9	81.1	79.4	82.4
67	83.4	81.7	85	81.6	79.9	82.8
68	83.7	82	85.2	82.1	80.5	83.2
69	84	82.4	85.4	82.6	81.1	83.6
70	84.2	82.7	85.6	83.1	81.6	84
71	84.5	83.1	85.9	83.6	82.2	84.5
72	84.9	83.4	86.1	84.1	82.8	84.9
73	85.2	83.8	86.4	84.6	83.4	85.4
74	85.5	84.2	86.7	85.2	84	85.8
75	85.9	84.6	87	85.7	84.7	86.3
76	86.3	85.1	87.3	86.3	85.3	86.9
77	86.7	85.5	87.6	86.9	86	87.4
78	87.1	86	87.9	87.5	86.7	87.9
79	87.5	86.4	88.3	88.1	87.3	88.5
80	87.9	87	88.7	88.7	88	89.1
81	88.4	87.5	89.1	89.4	88.7	89.7
82	88.9	88	89.6	90	89.4	90.2
83	89.5	88.6	90.1	90.6	90.1	90.8
84	90	89.2	90.6	91.2	90.8	91.4
85	90.6	89.8	91.1	91.9	91.5	92.1
86	91.2	90.5	91.7	92.6	92.2	92.7
87	91.9	91.1	92.3	93.2	92.9	93.4
88	92.5	91.8	92.9	93.9	93.7	94.1
89	93.2	92.5	93.5	94.7	94.4	94.7
90	93.8	93.2	94.1	95.4	95.2	95.5
91	94.5	93.9	94.8	96.1	96	96.2
92	95.2	94.7	95.4	96.9	96.7	96.9
93	96	95.4	96.2	97.6	97.5	97.6
94	96.7	96.2	96.9	98.4	98.3	98.4
95	97.6	97	97.7	99.2	99.1	99.2
96	98.4	97.8	98.5	100	99.9	100
97	99.2	98.7	99.4	100.8	100.7	100.8
98	100.1	99.6	100.2	101.6	101.5	101.7
99	101	100.5	101.1	102.5	102.3	102.6
100	102	101.7	102	103.4	103.1	103.5

Odds of living to age in China vs South Africa

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 90.9% in China and 68.4% in South Africa are expected to survive till at least 60 years old, 79.7% and 51.3% will live to 70 years or older, 55.8% and 30% to 80+ years, and 18.6% and 11.2% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	China			South Africa
	Average	Male	Female	Average	Male	Female
1	99.4%	99.3%	99.5%	97.8%	97.5%	98%
2	99.3%	99.3%	99.4%	97.4%	97.1%	97.7%
3	99.3%	99.2%	99.4%	97.2%	96.9%	97.5%
4	99.3%	99.2%	99.3%	97%	96.7%	97.4%
5	99.2%	99.2%	99.3%	96.9%	96.6%	97.3%
6	99.2%	99.2%	99.3%	96.9%	96.5%	97.2%
7	99.2%	99.1%	99.3%	96.8%	96.5%	97.2%
8	99.2%	99.1%	99.2%	96.8%	96.4%	97.2%
9	99.1%	99.1%	99.2%	96.7%	96.4%	97.1%
10	99.1%	99%	99.2%	96.7%	96.3%	97.1%
11	99.1%	99%	99.2%	96.7%	96.3%	97.1%
12	99%	99%	99.1%	96.6%	96.2%	97%
13	99%	98.9%	99.1%	96.6%	96.2%	97%
14	99%	98.9%	99.1%	96.5%	96.1%	96.9%
15	99%	98.9%	99.1%	96.4%	96%	96.9%
16	98.9%	98.8%	99%	96.4%	95.9%	96.8%
17	98.9%	98.8%	99%	96.3%	95.8%	96.7%
18	98.9%	98.7%	99%	96.1%	95.6%	96.6%
19	98.8%	98.7%	99%	96%	95.5%	96.5%
20	98.8%	98.6%	98.9%	95.8%	95.3%	96.4%
21	98.7%	98.6%	98.9%	95.6%	95.1%	96.3%
22	98.7%	98.5%	98.8%	95.4%	94.8%	96.1%
23	98.6%	98.4%	98.8%	95.2%	94.5%	95.9%
24	98.5%	98.4%	98.8%	95%	94.2%	95.8%
25	98.5%	98.3%	98.7%	94.7%	93.9%	95.6%
26	98.4%	98.2%	98.7%	94.4%	93.5%	95.3%
27	98.3%	98.1%	98.6%	94.1%	93.1%	95.1%
28	98.3%	98%	98.6%	93.7%	92.7%	94.8%
29	98.2%	97.9%	98.5%	93.4%	92.3%	94.5%
30	98.1%	97.8%	98.5%	93%	91.8%	94.2%
31	98.1%	97.8%	98.4%	92.6%	91.3%	93.9%
32	98%	97.7%	98.3%	92.1%	90.8%	93.5%
33	97.9%	97.6%	98.3%	91.7%	90.3%	93.1%
34	97.8%	97.5%	98.2%	91.2%	89.7%	92.7%
35	97.7%	97.4%	98.2%	90.7%	89.1%	92.3%
36	97.7%	97.3%	98.1%	90.2%	88.5%	91.9%
37	97.6%	97.2%	98%	89.6%	87.9%	91.4%
38	97.5%	97%	98%	89.1%	87.2%	90.9%
39	97.4%	96.9%	97.9%	88.5%	86.5%	90.4%
40	97.3%	96.8%	97.8%	87.9%	85.8%	89.9%
41	97.2%	96.6%	97.7%	87.2%	85.1%	89.4%
42	97%	96.5%	97.7%	86.5%	84.3%	88.8%
43	96.9%	96.3%	97.6%	85.8%	83.5%	88.2%
44	96.7%	96%	97.4%	85.1%	82.6%	87.6%
45	96.5%	95.8%	97.3%	84.3%	81.8%	87%
46	96.3%	95.6%	97.2%	83.5%	80.8%	86.3%
47	96.1%	95.3%	97.1%	82.7%	79.8%	85.7%
48	95.9%	95%	96.9%	81.9%	78.8%	85%
49	95.7%	94.7%	96.8%	81%	77.7%	84.3%
50	95.4%	94.3%	96.6%	80.1%	76.6%	83.6%
51	95.1%	93.9%	96.4%	79.1%	75.4%	82.9%
52	94.7%	93.4%	96.2%	78.1%	74.2%	82.1%
53	94.4%	92.9%	95.9%	77.1%	72.9%	81.3%
54	94%	92.4%	95.7%	76%	71.6%	80.5%
55	93.5%	91.8%	95.4%	74.8%	70.2%	79.6%
56	93.1%	91.2%	95.1%	73.6%	68.7%	78.7%
57	92.6%	90.5%	94.8%	72.4%	67.2%	77.7%
58	92.1%	89.9%	94.5%	71.1%	65.6%	76.6%
59	91.5%	89.1%	94.1%	69.8%	64%	75.6%
60	90.9%	88.3%	93.7%	68.4%	62.3%	74.4%
61	90.2%	87.3%	93.2%	66.9%	60.6%	73.3%
62	89.4%	86.2%	92.7%	65.5%	58.8%	72.1%
63	88.5%	85%	92.1%	63.9%	57%	70.8%
64	87.5%	83.7%	91.4%	62.3%	55.1%	69.5%
65	86.4%	82.3%	90.7%	60.6%	53.1%	68%
66	85.2%	80.8%	89.9%	58.9%	51.1%	66.5%
67	84%	79.2%	89%	57.1%	49%	64.9%
68	82.6%	77.5%	88.1%	55.2%	46.9%	63.3%
69	81.2%	75.7%	87.1%	53.2%	44.8%	61.5%
70	79.7%	73.8%	85.9%	51.3%	42.7%	59.7%
71	78%	71.6%	84.6%	49.3%	40.6%	57.9%
72	76.1%	69.4%	83.1%	47.3%	38.4%	55.9%
73	74.1%	67%	81.5%	45.2%	36.3%	53.9%
74	72%	64.5%	79.8%	43.1%	34.2%	51.8%
75	69.7%	61.9%	77.9%	40.9%	32.1%	49.7%
76	67.3%	59.1%	75.8%	38.7%	29.9%	47.4%
77	64.7%	56.2%	73.6%	36.5%	27.8%	45.1%
78	61.9%	53.1%	71.1%	34.3%	25.7%	42.7%
79	59%	49.9%	68.5%	32.1%	23.7%	40.3%
80	55.8%	46.5%	65.5%	30%	21.8%	37.9%
81	52.4%	43%	62.3%	27.9%	20%	35.5%
82	48.8%	39.3%	58.8%	25.8%	18.3%	33.1%
83	45.1%	35.6%	55.1%	23.8%	16.7%	30.8%
84	41.2%	31.8%	51.1%	21.9%	15.1%	28.4%
85	37.2%	28.1%	46.9%	20%	13.6%	26.1%
86	33.3%	24.5%	42.6%	18.1%	12.1%	23.7%
87	29.4%	21%	38.3%	16.2%	10.7%	21.5%
88	25.6%	17.8%	34%	14.5%	9.42%	19.2%
89	22%	14.7%	29.9%	12.8%	8.21%	17.1%
90	18.6%	11.9%	25.7%	11.2%	7.1%	15.1%
91	15.4%	9.4%	21.8%	9.76%	6.1%	13.2%
92	12.5%	7.21%	18.1%	8.41%	5.2%	11.4%
93	9.8%	5.34%	14.6%	7.16%	4.38%	9.73%
94	7.45%	3.81%	11.3%	6.02%	3.66%	8.21%
95	5.48%	2.6%	8.53%	5%	3.03%	6.83%
96	3.9%	1.69%	6.25%	4.1%	2.47%	5.6%
97	2.69%	1.03%	4.44%	3.32%	2%	4.54%
98	1.79%	0.59%	3.04%	2.65%	1.6%	3.62%
99	1.14%	0.31%	2.01%	2.08%	1.26%	2.84%
100	0.7%	0.15%	1.28%	1.61%	0.99%	2.19%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.6% in the birth year in China and 2.24% in South Africa, 0.08% vs 0.45% at age 30, 0.78% vs 2.1% at 60, and 6.06% vs 6.98% at 80.

Below is a graph displaying the probabilities of dying in China compared to South Africa at any given age.

Table

Age	Probability of dying
	China			South Africa
	Average	Male	Female	Average	Male	Female
0	0.6%	0.66%	0.54%	2.24%	2.49%	1.98%
1	0.05%	0.05%	0.05%	0.36%	0.39%	0.32%
2	0.04%	0.04%	0.04%	0.23%	0.26%	0.2%
3	0.03%	0.03%	0.03%	0.15%	0.17%	0.13%
4	0.03%	0.03%	0.03%	0.1%	0.12%	0.08%
5	0.02%	0.02%	0.02%	0.07%	0.08%	0.06%
6	0.03%	0.03%	0.02%	0.05%	0.06%	0.04%
7	0.03%	0.03%	0.02%	0.04%	0.05%	0.04%
8	0.03%	0.03%	0.03%	0.04%	0.05%	0.03%
9	0.03%	0.03%	0.03%	0.04%	0.05%	0.03%
10	0.03%	0.04%	0.02%	0.04%	0.05%	0.03%
11	0.03%	0.04%	0.02%	0.05%	0.05%	0.04%
12	0.03%	0.04%	0.02%	0.05%	0.06%	0.04%
13	0.03%	0.04%	0.02%	0.06%	0.07%	0.05%
14	0.03%	0.04%	0.02%	0.07%	0.09%	0.06%
15	0.03%	0.04%	0.02%	0.09%	0.11%	0.07%
16	0.03%	0.04%	0.03%	0.11%	0.13%	0.09%
17	0.04%	0.05%	0.03%	0.13%	0.15%	0.1%
18	0.04%	0.05%	0.03%	0.15%	0.18%	0.12%
19	0.04%	0.05%	0.03%	0.17%	0.21%	0.13%
20	0.05%	0.06%	0.04%	0.19%	0.24%	0.14%
21	0.05%	0.07%	0.04%	0.21%	0.27%	0.15%
22	0.06%	0.07%	0.05%	0.23%	0.3%	0.17%
23	0.06%	0.08%	0.05%	0.26%	0.33%	0.19%
24	0.07%	0.08%	0.05%	0.28%	0.36%	0.21%
25	0.07%	0.08%	0.05%	0.31%	0.39%	0.23%
26	0.07%	0.09%	0.05%	0.34%	0.42%	0.26%
27	0.07%	0.09%	0.05%	0.37%	0.45%	0.29%
28	0.07%	0.09%	0.05%	0.39%	0.48%	0.31%
29	0.07%	0.09%	0.05%	0.42%	0.5%	0.34%
30	0.08%	0.1%	0.05%	0.45%	0.53%	0.36%
31	0.08%	0.1%	0.06%	0.47%	0.56%	0.39%
32	0.08%	0.1%	0.06%	0.5%	0.59%	0.41%
33	0.08%	0.1%	0.06%	0.52%	0.62%	0.43%
34	0.08%	0.1%	0.06%	0.55%	0.65%	0.45%
35	0.08%	0.11%	0.06%	0.58%	0.68%	0.47%
36	0.09%	0.11%	0.06%	0.6%	0.72%	0.5%
37	0.09%	0.12%	0.07%	0.64%	0.75%	0.52%
38	0.1%	0.13%	0.07%	0.67%	0.79%	0.55%
39	0.11%	0.14%	0.08%	0.7%	0.83%	0.58%
40	0.12%	0.16%	0.09%	0.74%	0.87%	0.61%
41	0.14%	0.18%	0.09%	0.77%	0.91%	0.63%
42	0.15%	0.2%	0.1%	0.81%	0.96%	0.66%
43	0.17%	0.22%	0.11%	0.85%	1.02%	0.69%
44	0.18%	0.24%	0.12%	0.89%	1.08%	0.71%
45	0.2%	0.26%	0.13%	0.94%	1.14%	0.74%
46	0.21%	0.28%	0.14%	0.99%	1.21%	0.76%
47	0.23%	0.31%	0.15%	1.03%	1.29%	0.79%
48	0.25%	0.34%	0.16%	1.08%	1.36%	0.81%
49	0.29%	0.39%	0.18%	1.14%	1.45%	0.84%
50	0.32%	0.44%	0.2%	1.2%	1.53%	0.88%
51	0.36%	0.5%	0.23%	1.26%	1.63%	0.92%
52	0.4%	0.55%	0.25%	1.33%	1.73%	0.97%
53	0.43%	0.59%	0.27%	1.41%	1.84%	1.03%
54	0.46%	0.63%	0.29%	1.5%	1.96%	1.1%
55	0.48%	0.66%	0.31%	1.59%	2.08%	1.17%
56	0.51%	0.7%	0.32%	1.69%	2.21%	1.25%
57	0.55%	0.76%	0.35%	1.79%	2.35%	1.33%
58	0.61%	0.83%	0.38%	1.88%	2.48%	1.4%
59	0.68%	0.94%	0.43%	1.99%	2.63%	1.48%
60	0.78%	1.07%	0.49%	2.1%	2.78%	1.56%
61	0.89%	1.23%	0.57%	2.22%	2.94%	1.66%
62	1.01%	1.39%	0.64%	2.36%	3.13%	1.76%
63	1.13%	1.55%	0.73%	2.52%	3.33%	1.89%
64	1.25%	1.71%	0.81%	2.7%	3.56%	2.04%
65	1.35%	1.85%	0.89%	2.89%	3.81%	2.21%
66	1.46%	2%	0.97%	3.1%	4.05%	2.38%
67	1.58%	2.15%	1.06%	3.3%	4.29%	2.57%
68	1.69%	2.29%	1.14%	3.5%	4.52%	2.75%
69	1.87%	2.53%	1.29%	3.69%	4.74%	2.94%
70	2.18%	2.89%	1.56%	3.89%	4.96%	3.13%
71	2.41%	3.16%	1.76%	4.11%	5.21%	3.34%
72	2.6%	3.4%	1.92%	4.36%	5.51%	3.59%
73	2.86%	3.73%	2.14%	4.66%	5.85%	3.87%
74	3.16%	4.11%	2.38%	5%	6.24%	4.19%
75	3.48%	4.51%	2.65%	5.36%	6.66%	4.55%
76	3.84%	4.94%	2.95%	5.72%	7.07%	4.92%
77	4.28%	5.45%	3.32%	6.07%	7.44%	5.28%
78	4.78%	6.05%	3.75%	6.39%	7.75%	5.63%
79	5.36%	6.75%	4.28%	6.68%	8.02%	5.97%
80	6.06%	7.57%	4.9%	6.98%	8.28%	6.31%
81	6.85%	8.5%	5.61%	7.32%	8.59%	6.69%
82	7.71%	9.5%	6.41%	7.73%	8.99%	7.13%
83	8.63%	10.6%	7.26%	8.22%	9.48%	7.64%
84	9.58%	11.7%	8.15%	8.79%	10.1%	8.24%
85	10.6%	12.9%	9.09%	9.44%	10.7%	8.91%
86	11.7%	14.2%	10.1%	10.1%	11.4%	9.62%
87	12.8%	15.6%	11.2%	10.9%	12.2%	10.4%
88	14.1%	17.2%	12.3%	11.6%	12.8%	11.1%
89	15.6%	19%	13.7%	12.3%	13.5%	11.9%
90	17.2%	21.1%	15.3%	13.1%	14.1%	12.7%
91	19%	23.3%	17.1%	13.9%	14.8%	13.5%
92	21.4%	25.9%	19.5%	14.8%	15.6%	14.5%
93	24%	28.7%	22.2%	15.9%	16.5%	15.7%
94	26.5%	31.8%	24.6%	17%	17.4%	16.8%
95	28.8%	35.1%	26.8%	18%	18.3%	17.9%
96	31.1%	38.8%	28.9%	19.1%	19.1%	19%
97	33.6%	42.9%	31.4%	20.2%	20%	20.2%
98	36.2%	47.2%	34%	21.4%	21%	21.5%
99	38.5%	51.9%	36.5%	22.6%	22%	22.8%
100	41%	55.8%	38.9%	23.7%	22.9%	24%

Death rate by age in China compared to South Africa

In China, the most common age of death is 84, compared to 0 in South Africa. The median age of death is 81.7 in China and 70.6 in South Africa — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	China			South Africa
	Total	Male	Female	Total	Male	Female
0	604	659	543	2,237	2,486	1,980
1	51.2	52.7	49.5	350	381	318
2	40.1	40.2	40	223.1	248.2	197
3	32.8	32.7	32.9	144.6	164.2	124.6
4	27.2	27	27.4	97.1	112.3	81.9
5	24.7	24.8	24.6	68.6	80.4	56.7
6	24.9	25.7	23.9	52.2	61.7	42.6
7	26.7	28.6	24.6	43	51.1	34.9
8	29	32	25.6	38.7	46	31.3
9	30.4	34.5	25.8	37.7	44.7	30.6
10	30.5	35.4	24.7	39.5	46.6	32.3
11	30.3	36.2	23.5	43.8	51.4	36.1
12	31	37.7	23.2	50.6	59.1	42.1
13	31.5	38.7	23	60.1	69.9	50.1
14	31.9	39.4	23.1	72.1	83.9	60.1
15	32.8	40.5	23.7	86.6	101.1	71.8
16	34.3	42.1	25	103.3	121.6	84.7
17	36.5	44.6	27	121.8	145	98.1
18	39.7	48.1	29.8	141.2	170.5	111.2
19	43.7	52.8	33.1	161.1	197.4	123.8
20	48.5	58.2	36.9	181.2	225.1	136
21	53.5	64.1	40.9	201.9	253.1	148.7
22	58.2	69.8	44.5	223.3	281.1	163
23	62.1	74.7	47.3	245.8	309	179.6
24	65	78.6	49.1	269.3	336	199.1
25	66.9	81.5	50	293.9	364	221.6
26	68.9	84.5	50.7	319	390	246.3
27	70.7	87.3	51.4	345	416	271.9
28	72	89.3	51.9	369	440	296.8
29	73.2	91.1	52.7	392	464	320
30	74.9	93.3	54	414	487	342
31	76.6	95.3	55.3	436	510	361
32	77.9	96.9	56.3	457	534	380
33	79	98.3	57.2	478	558	398
34	80.4	100.2	58.3	500	582	417
35	82.7	103	60.1	522	607	436
36	86.2	107.5	62.7	545	633	456
37	91.5	114.5	66.3	569	659	477
38	99	124.6	71.1	594	687	499
39	108.7	138	77.1	620	715	522
40	120.6	154.2	84.3	646	744	545
41	134	172.6	92.5	674	776	567
42	147.8	191.9	100.8	702	811	588
43	161.7	211	109.2	731	849	607
44	175.4	229.8	117.7	762	890	625
45	189.6	249.1	126.4	793	934	642
46	204.7	270.2	135.2	824	980	658
47	221.7	294.3	144.8	855	1,027	674
48	243.7	325	157.5	888	1,076	692
49	273.2	366	175.4	922	1,125	712
50	309	414	197.7	958	1,175	736
51	347	466	221.9	997	1,228	765
52	382	513	244.4	1,041	1,283	800
53	410	551	263.4	1,088	1,340	840
54	433	580	278.4	1,139	1,400	885
55	453	608	292.3	1,192	1,462	934
56	478	641	309	1,243	1,521	983
57	511	685	331	1,292	1,577	1,030
58	559	750	362	1,340	1,630	1,076
59	626	840	405	1,386	1,680	1,120
60	709	948	461	1,433	1,730	1,165
61	804	1,070	527	1,484	1,782	1,214
62	905	1,202	597	1,543	1,838	1,271
63	1,003	1,322	672	1,609	1,899	1,340
64	1,091	1,428	743	1,680	1,963	1,417
65	1,168	1,521	804	1,754	2,022	1,502
66	1,247	1,612	871	1,823	2,071	1,587
67	1,329	1,701	947	1,882	2,104	1,668
68	1,396	1,776	1,007	1,929	2,119	1,741
69	1,523	1,912	1,126	1,964	2,122	1,808
70	1,738	2,131	1,338	1,993	2,118	1,871
71	1,877	2,265	1,486	2,025	2,115	1,935
72	1,980	2,362	1,598	2,063	2,116	2,006
73	2,120	2,502	1,741	2,107	2,124	2,087
74	2,277	2,655	1,902	2,153	2,133	2,173
75	2,425	2,787	2,061	2,193	2,135	2,258
76	2,587	2,920	2,238	2,217	2,116	2,330
77	2,768	3,062	2,439	2,218	2,070	2,380
78	2,961	3,212	2,668	2,191	1,995	2,403
79	3,164	3,368	2,927	2,146	1,904	2,403
80	3,383	3,522	3,211	2,092	1,808	2,390
81	3,591	3,652	3,498	2,041	1,721	2,374
82	3,765	3,736	3,768	1,997	1,646	2,361
83	3,888	3,760	3,998	1,960	1,580	2,352
84	3,946	3,719	4,161	1,925	1,519	2,341
85	3,943	3,619	4,261	1,885	1,457	2,322
86	3,888	3,470	4,305	1,833	1,386	2,285
87	3,776	3,279	4,280	1,763	1,304	2,224
88	3,612	3,052	4,196	1,675	1,210	2,135
89	3,426	2,794	4,102	1,575	1,108	2,030
90	3,198	2,507	3,943	1,466	1,005	1,909
91	2,931	2,194	3,721	1,353	904	1,779
92	2,669	1,866	3,528	1,247	811	1,656
93	2,354	1,533	3,234	1,138	722	1,526
94	1,973	1,209	2,791	1,022	636	1,380
95	1,576	912	2,287	901	552	1,223
96	1,211	654	1,807	781	473	1,066
97	903	442	1,395	670	401	918
98	646	278.4	1,036	566	336	778
99	439	161.6	732	470	277.7	647
100	102.8	0	287.1	354	202.1	494

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about China and South Africa demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• China vs South Africa: Side-by-Side Comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size