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

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 Sudan: 80.2 years vs 69.1 at 30, 83.3 vs 78 at 65, 88.1 vs 85.6 at 80 — significantly higher than the 79 vs 58 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 Sudan.

Table

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

Odds of living to age in China vs South Sudan

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

Odds of dying by age chart

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.

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

Table

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

Death rate by age in China compared to South Sudan

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 — only half of the newborns in both countries are expected to live past these ages.

Table

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

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 Sudan 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 Sudan: Complete comparison

By topic vs comparisons:

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