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

Life expectancy by current age

Chart Table

China

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	China			South Sudan
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	101.7	101.6	101.8
99	101	100.6	101.1	100.7	100.6	100.8
98	100.1	99.6	100.2	99.8	99.6	99.9
97	99.3	98.7	99.4	98.9	98.7	99
96	98.4	97.9	98.6	98.1	97.8	98.1
95	97.6	97.1	97.8	97.2	96.9	97.3
94	96.8	96.3	97	96.3	96	96.4
93	96	95.5	96.2	95.5	95.1	95.6
92	95.3	94.7	95.5	94.7	94.2	94.8
91	94.6	94	94.9	93.8	93.4	94
90	93.9	93.3	94.2	93	92.6	93.2
89	93.2	92.6	93.6	92.2	91.8	92.4
88	92.6	91.9	93	91.4	91	91.6
87	92	91.3	92.4	90.6	90.2	90.8
86	91.4	90.6	91.8	89.9	89.4	90.1
85	90.8	90	91.3	89.1	88.7	89.4
84	90.2	89.4	90.7	88.4	87.9	88.6
83	89.6	88.8	90.2	87.7	87.2	87.9
82	89.1	88.2	89.8	87	86.5	87.2
81	88.6	87.7	89.3	86.3	85.8	86.6
80	88.1	87.2	88.9	85.6	85.1	85.9
79	87.7	86.7	88.5	85	84.5	85.3
78	87.3	86.2	88.2	84.4	83.8	84.7
77	86.9	85.8	87.8	83.8	83.2	84.2
76	86.5	85.3	87.5	83.2	82.6	83.6
75	86.2	84.9	87.2	82.6	82	83.1
74	85.8	84.5	86.9	82.1	81.5	82.6
73	85.5	84.1	86.7	81.6	80.9	82.1
72	85.2	83.7	86.4	81.1	80.4	81.6
71	84.9	83.4	86.1	80.6	79.8	81.1
70	84.6	83	85.9	80.1	79.3	80.7
69	84.3	82.7	85.7	79.7	78.9	80.2
68	84	82.4	85.5	79.2	78.4	79.8
67	83.8	82.1	85.4	78.8	77.9	79.5
66	83.6	81.8	85.2	78.4	77.5	79.1
65	83.3	81.5	85	78	77.1	78.7
64	83.1	81.3	84.9	77.6	76.7	78.4
63	82.9	81	84.7	77.3	76.3	78.1
62	82.7	80.8	84.6	76.9	75.9	77.8
61	82.5	80.6	84.5	76.6	75.5	77.5
60	82.4	80.4	84.3	76.3	75.1	77.2
59	82.2	80.2	84.2	76	74.8	76.9
58	82.1	80	84.2	75.7	74.5	76.7
57	82	79.8	84.1	75.4	74.1	76.4
56	81.8	79.7	84	75.1	73.8	76.2
55	81.7	79.5	83.9	74.8	73.5	76
54	81.6	79.4	83.8	74.5	73.2	75.7
53	81.5	79.2	83.7	74.3	72.9	75.5
52	81.4	79.1	83.7	74	72.6	75.3
51	81.3	79	83.6	73.8	72.3	75.1
50	81.2	78.9	83.5	73.5	72	74.8
49	81.1	78.8	83.5	73.3	71.7	74.6
48	81	78.7	83.4	73	71.4	74.4
47	81	78.6	83.4	72.8	71.2	74.3
46	80.9	78.5	83.3	72.6	70.9	74.1
45	80.8	78.4	83.3	72.4	70.6	73.9
44	80.8	78.3	83.2	72.1	70.4	73.7
43	80.7	78.3	83.2	71.9	70.1	73.5
42	80.6	78.2	83.1	71.7	69.9	73.3
41	80.6	78.1	83.1	71.5	69.6	73.1
40	80.5	78.1	83.1	71.2	69.4	72.9
39	80.5	78	83	71	69.1	72.7
38	80.5	78	83	70.8	68.9	72.5
37	80.4	77.9	83	70.6	68.6	72.4
36	80.4	77.9	83	70.4	68.4	72.2
35	80.4	77.8	82.9	70.2	68.2	72
34	80.3	77.8	82.9	70	67.9	71.8
33	80.3	77.8	82.9	69.8	67.7	71.7
32	80.2	77.7	82.8	69.5	67.4	71.5
31	80.2	77.7	82.8	69.3	67.2	71.3
30	80.2	77.6	82.8	69.1	67	71.1
29	80.1	77.6	82.8	68.9	66.7	71
28	80.1	77.6	82.7	68.7	66.5	70.8
27	80.1	77.5	82.7	68.5	66.2	70.6
26	80	77.5	82.7	68.3	65.9	70.4
25	80	77.4	82.7	68	65.7	70.3
24	80	77.4	82.6	67.8	65.4	70.1
23	79.9	77.4	82.6	67.6	65.1	70
22	79.9	77.3	82.6	67.4	64.9	69.8
21	79.9	77.3	82.6	67.2	64.6	69.6
20	79.8	77.3	82.5	67	64.4	69.5
19	79.8	77.2	82.5	66.8	64.1	69.3
18	79.8	77.2	82.5	66.6	63.9	69.2
17	79.8	77.2	82.5	66.4	63.7	69
16	79.8	77.2	82.5	66.3	63.5	68.9
15	79.7	77.1	82.4	66.1	63.4	68.8
14	79.7	77.1	82.4	66	63.2	68.7
13	79.7	77.1	82.4	65.8	63.1	68.5
12	79.7	77.1	82.4	65.7	62.9	68.4
11	79.7	77	82.4	65.5	62.8	68.3
10	79.6	77	82.4	65.4	62.6	68.2
9	79.6	77	82.4	65.2	62.4	68
8	79.6	77	82.3	65	62.1	67.8
7	79.6	77	82.3	64.7	61.8	67.6
6	79.6	76.9	82.3	64.4	61.5	67.3
5	79.6	76.9	82.3	64	61.1	67
4	79.5	76.9	82.3	63.6	60.6	66.6
3	79.5	76.9	82.2	63.1	60.1	66.1
2	79.5	76.9	82.2	62.5	59.5	65.5
1	79.5	76.8	82.2	61.8	58.9	64.7
0	79	76.4	81.8	58	55	61

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 69.1 in South Sudan, rising to 83.3 and 78 at 65, and to 88.1 and 85.6 at 80 — higher than the 79 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	China			South Sudan
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.06%	0.02%	0.1%
99	1.33%	0.38%	2.27%	0.1%	0.03%	0.17%
98	2.06%	0.72%	3.42%	0.17%	0.05%	0.28%
97	3.08%	1.24%	4.95%	0.27%	0.1%	0.44%
96	4.43%	2%	6.91%	0.43%	0.16%	0.67%
95	6.17%	3.05%	9.37%	0.64%	0.27%	1%
94	8.32%	4.42%	12.3%	0.94%	0.44%	1.44%
93	10.9%	6.13%	15.8%	1.35%	0.67%	2.01%
92	13.7%	8.19%	19.4%	1.87%	1%	2.73%
91	16.8%	10.6%	23.3%	2.54%	1.45%	3.62%
90	20.2%	13.3%	27.4%	3.37%	2.03%	4.7%
89	23.8%	16.3%	31.6%	4.38%	2.76%	5.98%
88	27.5%	19.5%	35.8%	5.58%	3.65%	7.47%
87	31.4%	23%	40.2%	6.96%	4.7%	9.18%
86	35.4%	26.6%	44.5%	8.54%	5.92%	11.1%
85	39.4%	30.3%	48.8%	10.3%	7.31%	13.2%
84	43.3%	34.1%	52.9%	12.3%	8.88%	15.6%
83	47.2%	37.9%	56.8%	14.4%	10.6%	18%
82	51%	41.7%	60.5%	16.6%	12.5%	20.6%
81	54.5%	45.3%	64%	18.9%	14.5%	23.3%
80	57.8%	48.8%	67.1%	21.3%	16.6%	26.1%
79	60.9%	52.2%	70%	23.8%	18.8%	28.8%
78	63.8%	55.3%	72.5%	26.3%	21%	31.6%
77	66.5%	58.3%	74.9%	28.8%	23.3%	34.3%
76	69%	61.2%	77%	31.3%	25.6%	36.9%
75	71.3%	63.9%	79%	33.7%	27.9%	39.6%
74	73.5%	66.4%	80.8%	36.2%	30.2%	42.1%
73	75.6%	68.9%	82.5%	38.5%	32.5%	44.6%
72	77.5%	71.1%	84%	40.8%	34.7%	46.9%
71	79.3%	73.3%	85.5%	43%	36.9%	49.2%
70	80.9%	75.3%	86.7%	45.1%	39%	51.3%
69	82.4%	77.1%	87.8%	47.1%	41%	53.3%
68	83.7%	78.8%	88.8%	49.1%	42.9%	55.2%
67	84.9%	80.4%	89.6%	50.9%	44.8%	57%
66	86.1%	82%	90.5%	52.6%	46.6%	58.7%
65	87.2%	83.4%	91.2%	54.2%	48.3%	60.2%
64	88.3%	84.8%	91.9%	55.8%	49.9%	61.7%
63	89.2%	86%	92.6%	57.3%	51.5%	63.1%
62	90.1%	87.1%	93.1%	58.6%	53%	64.3%
61	90.8%	88.1%	93.6%	59.9%	54.4%	65.5%
60	91.5%	89%	94.1%	61.1%	55.7%	66.6%
59	92.1%	89.8%	94.5%	62.3%	57%	67.6%
58	92.6%	90.5%	94.8%	63.3%	58.2%	68.6%
57	93.1%	91.2%	95.1%	64.4%	59.3%	69.5%
56	93.5%	91.8%	95.4%	65.3%	60.4%	70.3%
55	94%	92.4%	95.7%	66.3%	61.5%	71.1%
54	94.4%	92.9%	95.9%	67.2%	62.5%	71.9%
53	94.8%	93.4%	96.2%	68%	63.5%	72.7%
52	95.1%	93.9%	96.4%	68.9%	64.5%	73.4%
51	95.4%	94.3%	96.6%	69.7%	65.4%	74%
50	95.7%	94.7%	96.8%	70.4%	66.3%	74.7%
49	96%	95.1%	97%	71.1%	67.1%	75.3%
48	96.2%	95.4%	97.1%	71.8%	67.9%	75.8%
47	96.4%	95.7%	97.3%	72.5%	68.6%	76.4%
46	96.6%	95.9%	97.4%	73.1%	69.4%	76.9%
45	96.8%	96.1%	97.5%	73.7%	70.1%	77.4%
44	97%	96.4%	97.6%	74.3%	70.8%	77.9%
43	97.1%	96.6%	97.7%	74.9%	71.5%	78.4%
42	97.3%	96.7%	97.8%	75.5%	72.1%	78.9%
41	97.4%	96.9%	97.9%	76.1%	72.8%	79.4%
40	97.5%	97%	98%	76.6%	73.4%	79.9%
39	97.6%	97.2%	98.1%	77.1%	74%	80.3%
38	97.7%	97.3%	98.1%	77.6%	74.6%	80.8%
37	97.8%	97.4%	98.2%	78.1%	75.2%	81.2%
36	97.9%	97.5%	98.3%	78.6%	75.8%	81.6%
35	97.9%	97.6%	98.3%	79.1%	76.3%	82%
34	98%	97.7%	98.4%	79.6%	76.9%	82.4%
33	98.1%	97.8%	98.4%	80%	77.4%	82.7%
32	98.2%	97.9%	98.5%	80.5%	77.9%	83.1%
31	98.2%	98%	98.5%	80.9%	78.5%	83.5%
30	98.3%	98%	98.6%	81.4%	79%	83.8%
29	98.4%	98.1%	98.6%	81.8%	79.5%	84.2%
28	98.4%	98.2%	98.7%	82.2%	80.1%	84.5%
27	98.5%	98.3%	98.7%	82.7%	80.6%	84.9%
26	98.6%	98.4%	98.8%	83.1%	81.1%	85.2%
25	98.6%	98.4%	98.8%	83.5%	81.6%	85.5%
24	98.7%	98.5%	98.9%	84%	82.2%	85.8%
23	98.7%	98.6%	98.9%	84.4%	82.7%	86.1%
22	98.8%	98.7%	99%	84.8%	83.2%	86.4%
21	98.8%	98.7%	99%	85.2%	83.7%	86.7%
20	98.9%	98.8%	99%	85.6%	84.2%	87%
19	98.9%	98.8%	99.1%	85.9%	84.7%	87.2%
18	99%	98.9%	99.1%	86.2%	85.1%	87.5%
17	99%	98.9%	99.1%	86.5%	85.4%	87.7%
16	99%	98.9%	99.1%	86.8%	85.7%	87.9%
15	99.1%	99%	99.2%	87.1%	86%	88.2%
14	99.1%	99%	99.2%	87.3%	86.3%	88.4%
13	99.1%	99%	99.2%	87.5%	86.6%	88.5%
12	99.1%	99.1%	99.2%	87.8%	86.8%	88.7%
11	99.2%	99.1%	99.2%	88%	87.1%	88.9%
10	99.2%	99.1%	99.3%	88.3%	87.4%	89.1%
9	99.2%	99.2%	99.3%	88.6%	87.8%	89.4%
8	99.3%	99.2%	99.3%	88.9%	88.2%	89.7%
7	99.3%	99.2%	99.3%	89.3%	88.6%	90%
6	99.3%	99.3%	99.4%	89.8%	89.2%	90.4%
5	99.3%	99.3%	99.4%	90.3%	89.8%	90.9%
4	99.3%	99.3%	99.4%	91%	90.6%	91.5%
3	99.4%	99.3%	99.4%	91.8%	91.4%	92.2%
2	99.4%	99.4%	99.5%	92.7%	92.3%	93.1%
1	99.5%	99.4%	99.5%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 61.1% in South Sudan are expected to live past 60, 80.9% and 45.1% past 70, 57.8% and 21.3% past 80, and only 20.2% and 3.37% 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 Sudan

Male

Female

1x

Age	Probability of dying
	China			South Sudan
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	45.7%	49.1%	43.1%
99	38.1%	51.3%	36.1%	43.7%	47.1%	41%
98	35.7%	46.6%	33.6%	40.5%	45.5%	39.1%
97	33.1%	42.1%	30.9%	37.7%	43.8%	37.1%
96	30.5%	38.1%	28.4%	35.6%	41.9%	35%
95	28.2%	34.3%	26.2%	33.8%	39.8%	32.8%
94	25.9%	31%	24.1%	31.9%	37.5%	30.6%
93	23.4%	27.9%	21.7%	30%	35.2%	28.4%
92	20.8%	25.2%	19%	28.1%	33%	26.4%
91	18.5%	22.6%	16.6%	26.3%	30.8%	24.6%
90	16.7%	20.4%	14.9%	24.6%	28.6%	22.9%
89	15.1%	18.4%	13.3%	23%	26.4%	21.4%
88	13.6%	16.6%	11.9%	21.4%	24.3%	20%
87	12.4%	15%	10.8%	19.9%	22.4%	18.6%
86	11.2%	13.6%	9.72%	18.5%	20.6%	17.4%
85	10.1%	12.3%	8.73%	17.1%	19%	16.1%
84	9.17%	11.2%	7.82%	15.9%	17.6%	14.9%
83	8.24%	10.1%	6.95%	14.6%	16.3%	13.7%
82	7.35%	9.03%	6.12%	13.5%	15%	12.6%
81	6.51%	8.06%	5.36%	12.4%	13.8%	11.5%
80	5.75%	7.17%	4.67%	11.3%	12.7%	10.5%
79	5.09%	6.39%	4.07%	10.4%	11.7%	9.54%
78	4.52%	5.71%	3.56%	9.47%	10.7%	8.69%
77	4.03%	5.14%	3.15%	8.67%	9.8%	7.92%
76	3.62%	4.65%	2.8%	7.94%	9%	7.23%
75	3.27%	4.23%	2.5%	7.29%	8.28%	6.61%
74	2.98%	3.86%	2.25%	6.69%	7.61%	6.05%
73	2.69%	3.5%	2.02%	6.14%	6.99%	5.52%
72	2.45%	3.19%	1.81%	5.62%	6.41%	5.03%
71	2.26%	2.96%	1.66%	5.13%	5.87%	4.58%
70	2.04%	2.7%	1.47%	4.68%	5.37%	4.16%
69	1.76%	2.36%	1.22%	4.26%	4.91%	3.77%
68	1.58%	2.14%	1.08%	3.9%	4.5%	3.43%
67	1.48%	2.01%	1%	3.57%	4.14%	3.12%
66	1.37%	1.86%	0.91%	3.28%	3.83%	2.84%
65	1.26%	1.72%	0.83%	3.02%	3.54%	2.6%
64	1.17%	1.59%	0.76%	2.78%	3.28%	2.37%
63	1.06%	1.45%	0.69%	2.56%	3.04%	2.17%
62	0.95%	1.3%	0.61%	2.35%	2.81%	1.97%
61	0.83%	1.14%	0.53%	2.16%	2.59%	1.8%
60	0.73%	1%	0.46%	1.98%	2.39%	1.64%
59	0.64%	0.88%	0.41%	1.82%	2.21%	1.5%
58	0.57%	0.78%	0.36%	1.69%	2.06%	1.39%
57	0.52%	0.71%	0.33%	1.58%	1.93%	1.29%
56	0.48%	0.66%	0.31%	1.49%	1.82%	1.21%
55	0.45%	0.62%	0.29%	1.42%	1.73%	1.15%
54	0.43%	0.59%	0.27%	1.35%	1.65%	1.09%
53	0.41%	0.55%	0.26%	1.28%	1.57%	1.03%
52	0.38%	0.51%	0.24%	1.21%	1.49%	0.97%
51	0.34%	0.46%	0.22%	1.14%	1.41%	0.91%
50	0.3%	0.41%	0.19%	1.07%	1.32%	0.85%
49	0.27%	0.36%	0.17%	1%	1.24%	0.79%
48	0.24%	0.32%	0.15%	0.95%	1.17%	0.75%
47	0.22%	0.29%	0.14%	0.9%	1.11%	0.71%
46	0.2%	0.26%	0.13%	0.86%	1.06%	0.69%
45	0.18%	0.24%	0.12%	0.84%	1.02%	0.67%
44	0.17%	0.22%	0.11%	0.81%	0.99%	0.66%
43	0.16%	0.21%	0.11%	0.79%	0.96%	0.64%
42	0.14%	0.19%	0.1%	0.77%	0.92%	0.63%
41	0.13%	0.17%	0.09%	0.74%	0.89%	0.61%
40	0.12%	0.15%	0.08%	0.71%	0.85%	0.58%
39	0.1%	0.13%	0.07%	0.68%	0.82%	0.56%
38	0.1%	0.12%	0.07%	0.65%	0.79%	0.53%
37	0.09%	0.11%	0.06%	0.63%	0.76%	0.51%
36	0.08%	0.1%	0.06%	0.61%	0.74%	0.49%
35	0.08%	0.1%	0.06%	0.6%	0.73%	0.48%
34	0.08%	0.1%	0.06%	0.59%	0.71%	0.47%
33	0.08%	0.09%	0.05%	0.58%	0.7%	0.46%
32	0.07%	0.09%	0.05%	0.57%	0.69%	0.45%
31	0.07%	0.09%	0.05%	0.56%	0.68%	0.44%
30	0.07%	0.09%	0.05%	0.55%	0.67%	0.43%
29	0.07%	0.09%	0.05%	0.54%	0.66%	0.42%
28	0.07%	0.08%	0.05%	0.53%	0.65%	0.41%
27	0.07%	0.08%	0.05%	0.52%	0.65%	0.39%
26	0.07%	0.08%	0.05%	0.52%	0.65%	0.38%
25	0.06%	0.08%	0.05%	0.51%	0.65%	0.37%
24	0.06%	0.07%	0.05%	0.51%	0.65%	0.36%
23	0.06%	0.07%	0.04%	0.5%	0.65%	0.35%
22	0.05%	0.07%	0.04%	0.49%	0.63%	0.34%
21	0.05%	0.06%	0.04%	0.47%	0.61%	0.33%
20	0.05%	0.05%	0.03%	0.44%	0.57%	0.32%
19	0.04%	0.05%	0.03%	0.41%	0.52%	0.3%
18	0.04%	0.04%	0.03%	0.38%	0.47%	0.29%
17	0.03%	0.04%	0.03%	0.35%	0.42%	0.27%
16	0.03%	0.04%	0.02%	0.32%	0.37%	0.26%
15	0.03%	0.04%	0.02%	0.29%	0.34%	0.24%
14	0.03%	0.04%	0.02%	0.27%	0.31%	0.22%
13	0.03%	0.04%	0.02%	0.26%	0.3%	0.22%
12	0.03%	0.03%	0.02%	0.26%	0.3%	0.22%
11	0.03%	0.03%	0.02%	0.27%	0.32%	0.22%
10	0.03%	0.03%	0.02%	0.3%	0.35%	0.24%
9	0.03%	0.03%	0.02%	0.34%	0.4%	0.27%
8	0.03%	0.03%	0.02%	0.39%	0.47%	0.31%
7	0.02%	0.03%	0.02%	0.45%	0.54%	0.36%
6	0.02%	0.02%	0.02%	0.53%	0.63%	0.43%
5	0.02%	0.02%	0.02%	0.62%	0.71%	0.53%
4	0.02%	0.02%	0.03%	0.73%	0.8%	0.65%
3	0.03%	0.03%	0.03%	0.85%	0.9%	0.8%
2	0.04%	0.04%	0.04%	0.99%	0.99%	0.98%
1	0.05%	0.05%	0.05%	1.16%	1.1%	1.22%
0	0.54%	0.59%	0.49%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.54% in the birth year in China and 6.22% in South Sudan, 0.07% vs 0.55% at age 30, 0.73% vs 1.98% at 60, and 5.75% vs 11.3% at 80.

Death rate by age in China vs South Sudan

Chart Table

China

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	China			South Sudan
	Total	Male	Female	Total	Male	Female
100	145	0	355	0	0	0
99	505	196.9	819	44.4	13.7	68.6
98	735	334	1,147	69.1	24.4	107.5
97	1,018	523	1,530	103.4	41.7	162.1
96	1,350	762	1,962	151.7	68.7	235
95	1,738	1,046	2,458	217.2	108.2	328
94	2,153	1,368	2,972	301	163.5	440
93	2,544	1,713	3,413	404	237	571
92	2,856	2,061	3,693	527	331	722
91	3,108	2,396	3,865	670	447	890
90	3,366	2,708	4,066	831	582	1,077
89	3,582	2,988	4,200	1,007	729	1,279
88	3,745	3,232	4,268	1,193	887	1,492
87	3,880	3,440	4,326	1,386	1,052	1,712
86	3,965	3,608	4,325	1,579	1,221	1,929
85	3,995	3,731	4,256	1,767	1,392	2,135
84	3,972	3,803	4,134	1,944	1,562	2,321
83	3,891	3,816	3,953	2,103	1,725	2,478
82	3,745	3,764	3,707	2,237	1,874	2,600
81	3,550	3,655	3,426	2,342	2,003	2,685
80	3,328	3,503	3,132	2,417	2,108	2,734
79	3,103	3,332	2,846	2,465	2,188	2,750
78	2,884	3,160	2,586	2,490	2,246	2,742
77	2,680	2,998	2,356	2,497	2,284	2,714
76	2,497	2,846	2,155	2,485	2,305	2,672
75	2,336	2,704	1,979	2,459	2,311	2,615
74	2,190	2,566	1,823	2,419	2,300	2,546
73	2,034	2,410	1,665	2,364	2,272	2,461
72	1,895	2,269	1,525	2,292	2,226	2,363
71	1,792	2,168	1,415	2,207	2,164	2,252
70	1,654	2,034	1,272	2,111	2,091	2,133
69	1,448	1,822	1,069	2,011	2,013	2,011
68	1,325	1,689	956	1,911	1,933	1,891
67	1,260	1,614	898	1,815	1,855	1,777
66	1,179	1,527	825	1,724	1,782	1,668
65	1,103	1,438	761	1,636	1,710	1,565
64	1,030	1,348	703	1,551	1,639	1,464
63	946	1,247	635	1,465	1,565	1,366
62	853	1,133	564	1,378	1,488	1,270
61	757	1,009	498	1,292	1,409	1,178
60	668	892	436	1,210	1,332	1,092
59	590	791	383	1,136	1,260	1,015
58	527	706	342	1,072	1,197	950
57	482	645	313	1,018	1,145	896
56	451	603	292	976	1,102	853
55	427	572	276.5	939	1,066	816
54	408	546	263.3	906	1,033	782
53	387	518	249.2	872	999	748
52	360	482	231.3	835	961	711
51	327	438	210	795	919	672
50	290.9	390	187.2	753	875	633
49	257.4	344	166.1	713	832	596
48	229.6	306	149.2	679	794	566
47	208.9	276.7	137.2	651	762	543
46	192.8	253.9	128.1	631	737	528
45	178.6	234	119.7	616	717	519
44	165.2	215.7	111.4	604	700	512
43	152.2	198	103.3	593	685	506
42	139.1	180	95.4	580	667	496
41	126	161.9	87.5	564	648	483
40	113.4	144.6	79.7	545	628	467
39	102.3	129.3	72.9	526	608	449
38	93	116.7	67.2	508	590	431
37	86	107.2	62.7	493	575	415
36	81	100.6	59.2	481	563	402
35	77.6	96.3	56.7	473	555	392
34	75.4	93.5	55	466	549	384
33	73.9	91.7	53.8	461	544	377
32	72.9	90.3	53	456	538	372
31	71.6	88.7	51.9	451	533	366
30	70	86.7	50.7	446	527	359
29	68.3	84.6	49.4	440	523	352
28	67	82.9	48.7	436	522	344
27	65.8	81	48.1	432	523	335
26	64.1	78.3	47.4	429	527	325
25	62.2	75.4	46.7	427	532	316
24	60.3	72.7	45.8	424	536	307
23	57.6	69	44.1	420	535	298.4
22	53.9	64.4	41.5	412	527	290.7
21	49.4	59.1	38.1	398	508	283.3
20	44.8	53.7	34.3	379	478	275.1
19	40.4	48.5	30.8	354	439	265.4
18	36.6	44.2	27.6	327	397	253.5
17	33.6	40.9	25	299.3	357	239.3
16	31.4	38.5	23.1	273.6	321	224.4
15	30	36.9	21.9	251.3	290.8	210.1
14	29.2	35.9	21.3	235.1	270	198.7
13	28.7	35.2	21.2	226.8	260.1	192
12	28.2	34.1	21.3	227.9	262.8	191.3
11	27.5	32.7	21.6	239.4	279	198.2
10	27.6	32	22.6	262	309	213.5
9	27.6	31.1	23.5	296.8	353	238.8
8	26.3	28.8	23.3	344	411	275.7
7	24.2	25.8	22.4	404	480	326
6	22.5	23.1	21.8	477	558	393
5	22.3	22.3	22.4	561	641	479
4	24.6	24.2	25	660	727	591
3	29.6	29.3	29.9	776	818	733
2	36.1	35.9	36.3	915	916	915
1	45.9	46.8	44.9	1,086	1,027	1,147
0	540	585	490	6,215	6,667	5,754

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 0 in South Sudan. The median age of death is 82.3 in China and 67.5 in South Sudan, 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 Sudan more than their death rates.

Life expectancy in other countries

+ -

1x