Life Expectancy in China vs South Sudan (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 Sudan: 79.6 years vs 69.1 at 30, 82.9 vs 78 at 65, 87.9 vs 85.6 at 80 — significantly higher than the 78.4 vs 57.9 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	78.4	75.7	81.2	57.9	54.9	60.9
1	78.8	76.2	81.7	61.7	58.8	64.6
2	78.9	76.2	81.7	62.4	59.4	65.4
3	78.9	76.2	81.8	63	60	66
4	78.9	76.2	81.8	63.5	60.5	66.5
5	79	76.3	81.8	64	61	66.9
6	79	76.3	81.8	64.3	61.4	67.3
7	79	76.3	81.8	64.7	61.7	67.5
8	79	76.3	81.9	64.9	62	67.8
9	79	76.3	81.9	65.1	62.3	67.9
10	79.1	76.4	81.9	65.3	62.5	68.1
11	79.1	76.4	81.9	65.5	62.7	68.2
12	79.1	76.4	81.9	65.6	62.9	68.4
13	79.1	76.4	82	65.8	63	68.5
14	79.1	76.5	82	65.9	63.2	68.6
15	79.2	76.5	82	66.1	63.3	68.7
16	79.2	76.5	82	66.2	63.5	68.9
17	79.2	76.5	82	66.4	63.7	69
18	79.2	76.6	82	66.5	63.9	69.1
19	79.3	76.6	82.1	66.7	64.1	69.3
20	79.3	76.6	82.1	66.9	64.3	69.4
21	79.3	76.7	82.1	67.1	64.6	69.6
22	79.3	76.7	82.1	67.3	64.8	69.8
23	79.4	76.7	82.1	67.6	65.1	69.9
24	79.4	76.8	82.2	67.8	65.4	70.1
25	79.4	76.8	82.2	68	65.6	70.2
26	79.5	76.9	82.2	68.2	65.9	70.4
27	79.5	76.9	82.3	68.4	66.2	70.6
28	79.6	76.9	82.3	68.7	66.4	70.7
29	79.6	77	82.3	68.9	66.7	70.9
30	79.6	77	82.3	69.1	66.9	71.1
31	79.7	77.1	82.4	69.3	67.2	71.3
32	79.7	77.1	82.4	69.5	67.4	71.4
33	79.7	77.2	82.4	69.7	67.7	71.6
34	79.8	77.2	82.5	69.9	67.9	71.8
35	79.8	77.3	82.5	70.1	68.1	72
36	79.9	77.3	82.5	70.4	68.4	72.2
37	79.9	77.3	82.5	70.6	68.6	72.3
38	79.9	77.4	82.6	70.8	68.9	72.5
39	80	77.4	82.6	71	69.1	72.7
40	80	77.5	82.6	71.2	69.3	72.9
41	80.1	77.6	82.7	71.4	69.6	73.1
42	80.1	77.6	82.7	71.6	69.9	73.3
43	80.2	77.7	82.8	71.9	70.1	73.5
44	80.2	77.8	82.8	72.1	70.4	73.7
45	80.3	77.8	82.9	72.3	70.6	73.8
46	80.4	77.9	82.9	72.6	70.9	74
47	80.5	78	83	72.8	71.2	74.2
48	80.5	78.1	83	73	71.4	74.4
49	80.6	78.2	83.1	73.3	71.7	74.6
50	80.7	78.3	83.1	73.5	72	74.8
51	80.8	78.4	83.2	73.7	72.3	75
52	80.9	78.6	83.3	74	72.6	75.2
53	81	78.7	83.3	74.3	72.9	75.5
54	81.1	78.9	83.4	74.5	73.2	75.7
55	81.3	79	83.5	74.8	73.5	75.9
56	81.4	79.2	83.6	75.1	73.8	76.2
57	81.5	79.3	83.7	75.4	74.1	76.4
58	81.6	79.5	83.8	75.7	74.5	76.7
59	81.8	79.7	83.9	76	74.8	76.9
60	81.9	79.9	84	76.3	75.1	77.2
61	82.1	80.1	84.1	76.6	75.5	77.5
62	82.3	80.3	84.2	76.9	75.9	77.8
63	82.5	80.6	84.4	77.3	76.3	78.1
64	82.7	80.8	84.5	77.6	76.7	78.4
65	82.9	81.1	84.7	78	77.1	78.7
66	83.2	81.4	84.9	78.4	77.5	79.1
67	83.4	81.7	85	78.8	77.9	79.5
68	83.7	82	85.2	79.2	78.4	79.8
69	84	82.4	85.4	79.6	78.9	80.2
70	84.2	82.7	85.6	80.1	79.3	80.7
71	84.5	83.1	85.9	80.6	79.8	81.1
72	84.9	83.4	86.1	81.1	80.4	81.6
73	85.2	83.8	86.4	81.6	80.9	82
74	85.5	84.2	86.7	82.1	81.5	82.5
75	85.9	84.6	87	82.6	82	83.1
76	86.3	85.1	87.3	83.2	82.6	83.6
77	86.7	85.5	87.6	83.8	83.2	84.2
78	87.1	86	87.9	84.4	83.8	84.7
79	87.5	86.4	88.3	85	84.5	85.3
80	87.9	87	88.7	85.6	85.1	85.9
81	88.4	87.5	89.1	86.3	85.8	86.6
82	88.9	88	89.6	87	86.5	87.2
83	89.5	88.6	90.1	87.7	87.2	87.9
84	90	89.2	90.6	88.4	87.9	88.6
85	90.6	89.8	91.1	89.1	88.7	89.4
86	91.2	90.5	91.7	89.9	89.4	90.1
87	91.9	91.1	92.3	90.6	90.2	90.8
88	92.5	91.8	92.9	91.4	91	91.6
89	93.2	92.5	93.5	92.2	91.8	92.4
90	93.8	93.2	94.1	93	92.6	93.2
91	94.5	93.9	94.8	93.8	93.4	94
92	95.2	94.7	95.4	94.7	94.2	94.8
93	96	95.4	96.2	95.5	95.1	95.6
94	96.7	96.2	96.9	96.3	96	96.4
95	97.6	97	97.7	97.2	96.9	97.3
96	98.4	97.8	98.5	98	97.8	98.1
97	99.2	98.7	99.4	98.9	98.7	99
98	100.1	99.6	100.2	99.8	99.6	99.9
99	101	100.5	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, 90.9% in China and 61% in South Sudan are expected to survive till at least 60 years old, 79.7% and 45% will live to 70 years or older, 55.8% and 21.3% to 80+ years, and 18.6% and 3.36% 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	99.4%	99.3%	99.5%	93.7%	93.3%	94.2%
2	99.3%	99.3%	99.4%	92.6%	92.3%	93%
3	99.3%	99.2%	99.4%	91.7%	91.3%	92.1%
4	99.3%	99.2%	99.3%	90.9%	90.5%	91.4%
5	99.2%	99.2%	99.3%	90.3%	89.8%	90.8%
6	99.2%	99.2%	99.3%	89.7%	89.1%	90.3%
7	99.2%	99.1%	99.3%	89.2%	88.6%	89.9%
8	99.2%	99.1%	99.2%	88.8%	88.1%	89.6%
9	99.1%	99.1%	99.2%	88.5%	87.7%	89.3%
10	99.1%	99%	99.2%	88.2%	87.3%	89%
11	99.1%	99%	99.2%	87.9%	87%	88.8%
12	99%	99%	99.1%	87.7%	86.7%	88.6%
13	99%	98.9%	99.1%	87.4%	86.4%	88.4%
14	99%	98.9%	99.1%	87.2%	86.2%	88.2%
15	99%	98.9%	99.1%	87%	85.9%	88%
16	98.9%	98.8%	99%	86.7%	85.6%	87.8%
17	98.9%	98.8%	99%	86.4%	85.3%	87.6%
18	98.9%	98.7%	99%	86.1%	84.9%	87.4%
19	98.8%	98.7%	99%	85.8%	84.5%	87.1%
20	98.8%	98.6%	98.9%	85.4%	84.1%	86.8%
21	98.7%	98.6%	98.9%	85.1%	83.6%	86.6%
22	98.7%	98.5%	98.8%	84.7%	83.1%	86.3%
23	98.6%	98.4%	98.8%	84.2%	82.6%	86%
24	98.5%	98.4%	98.8%	83.8%	82%	85.7%
25	98.5%	98.3%	98.7%	83.4%	81.5%	85.4%
26	98.4%	98.2%	98.7%	83%	81%	85.1%
27	98.3%	98.1%	98.6%	82.5%	80.4%	84.7%
28	98.3%	98%	98.6%	82.1%	79.9%	84.4%
29	98.2%	97.9%	98.5%	81.7%	79.4%	84%
30	98.1%	97.8%	98.5%	81.2%	78.9%	83.7%
31	98.1%	97.8%	98.4%	80.8%	78.3%	83.3%
32	98%	97.7%	98.3%	80.3%	77.8%	83%
33	97.9%	97.6%	98.3%	79.9%	77.3%	82.6%
34	97.8%	97.5%	98.2%	79.4%	76.7%	82.2%
35	97.7%	97.4%	98.2%	78.9%	76.2%	81.8%
36	97.7%	97.3%	98.1%	78.5%	75.6%	81.4%
37	97.6%	97.2%	98%	78%	75%	81%
38	97.5%	97%	98%	77.5%	74.5%	80.6%
39	97.4%	96.9%	97.9%	77%	73.9%	80.2%
40	97.3%	96.8%	97.8%	76.5%	73.3%	79.7%
41	97.2%	96.6%	97.7%	75.9%	72.6%	79.3%
42	97%	96.5%	97.7%	75.3%	72%	78.8%
43	96.9%	96.3%	97.6%	74.8%	71.3%	78.3%
44	96.7%	96%	97.4%	74.2%	70.6%	77.8%
45	96.5%	95.8%	97.3%	73.6%	69.9%	77.3%
46	96.3%	95.6%	97.2%	72.9%	69.2%	76.7%
47	96.1%	95.3%	97.1%	72.3%	68.5%	76.2%
48	95.9%	95%	96.9%	71.7%	67.7%	75.7%
49	95.7%	94.7%	96.8%	71%	66.9%	75.1%
50	95.4%	94.3%	96.6%	70.3%	66.1%	74.5%
51	95.1%	93.9%	96.4%	69.5%	65.2%	73.9%
52	94.7%	93.4%	96.2%	68.7%	64.3%	73.2%
53	94.4%	92.9%	95.9%	67.9%	63.3%	72.5%
54	94%	92.4%	95.7%	67%	62.3%	71.7%
55	93.5%	91.8%	95.4%	66.1%	61.3%	70.9%
56	93.1%	91.2%	95.1%	65.2%	60.2%	70.1%
57	92.6%	90.5%	94.8%	64.2%	59.1%	69.3%
58	92.1%	89.9%	94.5%	63.2%	58%	68.4%
59	91.5%	89.1%	94.1%	62.1%	56.8%	67.4%
60	90.9%	88.3%	93.7%	61%	55.5%	66.4%
61	90.2%	87.3%	93.2%	59.7%	54.2%	65.3%
62	89.4%	86.2%	92.7%	58.5%	52.8%	64.1%
63	88.5%	85%	92.1%	57.1%	51.3%	62.9%
64	87.5%	83.7%	91.4%	55.6%	49.7%	61.5%
65	86.4%	82.3%	90.7%	54.1%	48.1%	60%
66	85.2%	80.8%	89.9%	52.4%	46.4%	58.5%
67	84%	79.2%	89%	50.7%	44.6%	56.8%
68	82.6%	77.5%	88.1%	48.9%	42.8%	55%
69	81.2%	75.7%	87.1%	47%	40.8%	53.1%
70	79.7%	73.8%	85.9%	45%	38.8%	51.1%
71	78%	71.6%	84.6%	42.9%	36.7%	49%
72	76.1%	69.4%	83.1%	40.7%	34.6%	46.8%
73	74.1%	67%	81.5%	38.4%	32.4%	44.4%
74	72%	64.5%	79.8%	36%	30.1%	41.9%
75	69.7%	61.9%	77.9%	33.6%	27.8%	39.4%
76	67.3%	59.1%	75.8%	31.2%	25.5%	36.8%
77	64.7%	56.2%	73.6%	28.7%	23.2%	34.1%
78	61.9%	53.1%	71.1%	26.2%	20.9%	31.4%
79	59%	49.9%	68.5%	23.7%	18.7%	28.7%
80	55.8%	46.5%	65.5%	21.3%	16.5%	26%
81	52.4%	43%	62.3%	18.9%	14.4%	23.2%
82	48.8%	39.3%	58.8%	16.5%	12.4%	20.6%
83	45.1%	35.6%	55.1%	14.3%	10.6%	18%
84	41.2%	31.8%	51.1%	12.2%	8.84%	15.5%
85	37.2%	28.1%	46.9%	10.3%	7.28%	13.2%
86	33.3%	24.5%	42.6%	8.5%	5.9%	11.1%
87	29.4%	21%	38.3%	6.93%	4.68%	9.14%
88	25.6%	17.8%	34%	5.55%	3.63%	7.43%
89	22%	14.7%	29.9%	4.36%	2.75%	5.95%
90	18.6%	11.9%	25.7%	3.36%	2.02%	4.68%
91	15.4%	9.4%	21.8%	2.53%	1.45%	3.6%
92	12.5%	7.21%	18.1%	1.87%	1%	2.72%
93	9.8%	5.34%	14.6%	1.34%	0.67%	2%
94	7.45%	3.81%	11.3%	0.94%	0.43%	1.43%
95	5.48%	2.6%	8.53%	0.64%	0.27%	0.99%
96	3.9%	1.69%	6.25%	0.43%	0.16%	0.67%
97	2.69%	1.03%	4.44%	0.28%	0.09%	0.43%
98	1.79%	0.59%	3.04%	0.17%	0.05%	0.27%
99	1.14%	0.31%	2.01%	0.1%	0.03%	0.17%
100	0.7%	0.15%	1.28%	0.05%	0.02%	0.1%

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 6.27% in South Sudan, 0.08% vs 0.55% at age 30, 0.78% vs 1.98% at 60, and 6.06% 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	0.6%	0.66%	0.54%	6.27%	6.72%	5.81%
1	0.05%	0.05%	0.05%	1.17%	1.11%	1.23%
2	0.04%	0.04%	0.04%	1%	1%	0.99%
3	0.03%	0.03%	0.03%	0.86%	0.9%	0.8%
4	0.03%	0.03%	0.03%	0.73%	0.81%	0.65%
5	0.02%	0.02%	0.02%	0.63%	0.72%	0.53%
6	0.03%	0.03%	0.02%	0.54%	0.63%	0.44%
7	0.03%	0.03%	0.02%	0.46%	0.55%	0.37%
8	0.03%	0.03%	0.03%	0.39%	0.47%	0.31%
9	0.03%	0.03%	0.03%	0.34%	0.41%	0.27%
10	0.03%	0.04%	0.02%	0.3%	0.36%	0.24%
11	0.03%	0.04%	0.02%	0.27%	0.32%	0.23%
12	0.03%	0.04%	0.02%	0.26%	0.31%	0.22%
13	0.03%	0.04%	0.02%	0.26%	0.3%	0.22%
14	0.03%	0.04%	0.02%	0.27%	0.32%	0.23%
15	0.03%	0.04%	0.02%	0.29%	0.34%	0.24%
16	0.03%	0.04%	0.03%	0.32%	0.38%	0.26%
17	0.04%	0.05%	0.03%	0.35%	0.42%	0.27%
18	0.04%	0.05%	0.03%	0.38%	0.47%	0.29%
19	0.04%	0.05%	0.03%	0.42%	0.52%	0.31%
20	0.05%	0.06%	0.04%	0.45%	0.57%	0.32%
21	0.05%	0.07%	0.04%	0.47%	0.61%	0.33%
22	0.06%	0.07%	0.05%	0.49%	0.64%	0.34%
23	0.06%	0.08%	0.05%	0.5%	0.65%	0.35%
24	0.07%	0.08%	0.05%	0.51%	0.66%	0.36%
25	0.07%	0.08%	0.05%	0.51%	0.66%	0.37%
26	0.07%	0.09%	0.05%	0.52%	0.65%	0.38%
27	0.07%	0.09%	0.05%	0.53%	0.65%	0.4%
28	0.07%	0.09%	0.05%	0.53%	0.66%	0.41%
29	0.07%	0.09%	0.05%	0.54%	0.66%	0.42%
30	0.08%	0.1%	0.05%	0.55%	0.67%	0.43%
31	0.08%	0.1%	0.06%	0.56%	0.68%	0.44%
32	0.08%	0.1%	0.06%	0.57%	0.69%	0.45%
33	0.08%	0.1%	0.06%	0.58%	0.71%	0.46%
34	0.08%	0.1%	0.06%	0.59%	0.72%	0.47%
35	0.08%	0.11%	0.06%	0.6%	0.73%	0.48%
36	0.09%	0.11%	0.06%	0.61%	0.75%	0.5%
37	0.09%	0.12%	0.07%	0.63%	0.77%	0.51%
38	0.1%	0.13%	0.07%	0.66%	0.79%	0.54%
39	0.11%	0.14%	0.08%	0.69%	0.82%	0.56%
40	0.12%	0.16%	0.09%	0.72%	0.86%	0.59%
41	0.14%	0.18%	0.09%	0.75%	0.89%	0.61%
42	0.15%	0.2%	0.1%	0.77%	0.93%	0.63%
43	0.17%	0.22%	0.11%	0.8%	0.96%	0.65%
44	0.18%	0.24%	0.12%	0.82%	0.99%	0.66%
45	0.2%	0.26%	0.13%	0.84%	1.03%	0.67%
46	0.21%	0.28%	0.14%	0.87%	1.07%	0.69%
47	0.23%	0.31%	0.15%	0.9%	1.11%	0.71%
48	0.25%	0.34%	0.16%	0.95%	1.17%	0.75%
49	0.29%	0.39%	0.18%	1.01%	1.25%	0.8%
50	0.32%	0.44%	0.2%	1.07%	1.33%	0.85%
51	0.36%	0.5%	0.23%	1.14%	1.41%	0.91%
52	0.4%	0.55%	0.25%	1.22%	1.5%	0.97%
53	0.43%	0.59%	0.27%	1.29%	1.58%	1.03%
54	0.46%	0.63%	0.29%	1.35%	1.66%	1.09%
55	0.48%	0.66%	0.31%	1.42%	1.74%	1.15%
56	0.51%	0.7%	0.32%	1.5%	1.83%	1.22%
57	0.55%	0.76%	0.35%	1.59%	1.93%	1.29%
58	0.61%	0.83%	0.38%	1.7%	2.06%	1.39%
59	0.68%	0.94%	0.43%	1.83%	2.22%	1.51%
60	0.78%	1.07%	0.49%	1.98%	2.4%	1.64%
61	0.89%	1.23%	0.57%	2.16%	2.6%	1.8%
62	1.01%	1.39%	0.64%	2.36%	2.81%	1.98%
63	1.13%	1.55%	0.73%	2.56%	3.05%	2.17%
64	1.25%	1.71%	0.81%	2.79%	3.29%	2.38%
65	1.35%	1.85%	0.89%	3.02%	3.55%	2.6%
66	1.46%	2%	0.97%	3.28%	3.83%	2.85%
67	1.58%	2.15%	1.06%	3.57%	4.15%	3.12%
68	1.69%	2.29%	1.14%	3.9%	4.51%	3.43%
69	1.87%	2.53%	1.29%	4.27%	4.92%	3.78%
70	2.18%	2.89%	1.56%	4.68%	5.37%	4.17%
71	2.41%	3.16%	1.76%	5.14%	5.87%	4.59%
72	2.6%	3.4%	1.92%	5.62%	6.42%	5.04%
73	2.86%	3.73%	2.14%	6.14%	7%	5.53%
74	3.16%	4.11%	2.38%	6.69%	7.62%	6.06%
75	3.48%	4.51%	2.65%	7.3%	8.28%	6.62%
76	3.84%	4.94%	2.95%	7.95%	9.01%	7.24%
77	4.28%	5.45%	3.32%	8.67%	9.8%	7.93%
78	4.78%	6.05%	3.75%	9.47%	10.7%	8.7%
79	5.36%	6.75%	4.28%	10.4%	11.7%	9.55%
80	6.06%	7.57%	4.9%	11.3%	12.7%	10.5%
81	6.85%	8.5%	5.61%	12.4%	13.8%	11.5%
82	7.71%	9.5%	6.41%	13.5%	15%	12.6%
83	8.63%	10.6%	7.26%	14.7%	16.3%	13.7%
84	9.58%	11.7%	8.15%	15.9%	17.6%	14.9%
85	10.6%	12.9%	9.09%	17.2%	19%	16.1%
86	11.7%	14.2%	10.1%	18.5%	20.6%	17.4%
87	12.8%	15.6%	11.2%	19.9%	22.4%	18.6%
88	14.1%	17.2%	12.3%	21.4%	24.3%	20%
89	15.6%	19%	13.7%	23%	26.4%	21.4%
90	17.2%	21.1%	15.3%	24.6%	28.6%	22.9%
91	19%	23.3%	17.1%	26.3%	30.8%	24.6%
92	21.4%	25.9%	19.5%	28%	33%	26.4%
93	24%	28.7%	22.2%	29.8%	35.2%	28.4%
94	26.5%	31.8%	24.6%	31.7%	37.5%	30.6%
95	28.8%	35.1%	26.8%	33.5%	39.8%	32.8%
96	31.1%	38.8%	28.9%	35.7%	41.9%	35%
97	33.6%	42.9%	31.4%	38.7%	43.8%	37.1%
98	36.2%	47.2%	34%	42.1%	45.5%	39.1%
99	38.5%	51.9%	36.5%	44.2%	47.1%	41%
100	41%	55.8%	38.9%	47.2%	49.1%	43.1%

Death rate by age in China compared to South Sudan

In China, the most common age of death is 84, compared to 0 in South Sudan. The median age of death is 81.7 in China and 67.4 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	604	659	543	6,268	6,715	5,811
1	51.2	52.7	49.5	1,094	1,033	1,158
2	40.1	40.2	40	924	923	924
3	32.8	32.7	32.9	784	826	741
4	27.2	27	27.4	667	735	598
5	24.7	24.8	24.6	568	647	485
6	24.9	25.7	23.9	482	564	397
7	26.7	28.6	24.6	409	485	330
8	29	32	25.6	348	415	278.6
9	30.4	34.5	25.8	299.8	356	241.3
10	30.5	35.4	24.7	264.5	312	215.6
11	30.3	36.2	23.5	241.6	281.4	199.9
12	31	37.7	23.2	229.7	264.9	192.9
13	31.5	38.7	23	228.5	262	193.4
14	31.9	39.4	23.1	236.7	271.8	200.1
15	32.8	40.5	23.7	253	292.7	211.5
16	34.3	42.1	25	275.3	323	225.8
17	36.5	44.6	27	301	359	240.8
18	39.7	48.1	29.8	329	400	254.9
19	43.7	52.8	33.1	356	442	266.8
20	48.5	58.2	36.9	381	480	276.5
21	53.5	64.1	40.9	400	511	284.6
22	58.2	69.8	44.5	414	530	292
23	62.1	74.7	47.3	422	538	299.8
24	65	78.6	49.1	426	538	308
25	66.9	81.5	50	429	535	317
26	68.9	84.5	50.7	431	529	327
27	70.7	87.3	51.4	434	526	336
28	72	89.3	51.9	438	524	345
29	73.2	91.1	52.7	442	526	353
30	74.9	93.3	54	447	529	361
31	76.6	95.3	55.3	452	535	367
32	77.9	96.9	56.3	457	540	373
33	79	98.3	57.2	462	546	379
34	80.4	100.2	58.3	467	551	385
35	82.7	103	60.1	474	557	393
36	86.2	107.5	62.7	482	565	403
37	91.5	114.5	66.3	494	576	417
38	99	124.6	71.1	510	591	433
39	108.7	138	77.1	528	609	451
40	120.6	154.2	84.3	547	629	469
41	134	172.6	92.5	566	650	485
42	147.8	191.9	100.8	582	669	498
43	161.7	211	109.2	595	686	507
44	175.4	229.8	117.7	606	702	514
45	189.6	249.1	126.4	618	718	520
46	204.7	270.2	135.2	632	738	529
47	221.7	294.3	144.8	653	763	545
48	243.7	325	157.5	680	795	567
49	273.2	366	175.4	715	833	598
50	309	414	197.7	754	876	634
51	347	466	221.9	796	920	673
52	382	513	244.4	836	961	713
53	410	551	263.4	873	999	749
54	433	580	278.4	907	1,033	784
55	453	608	292.3	940	1,066	817
56	478	641	309	976	1,102	853
57	511	685	331	1,019	1,144	897
58	559	750	362	1,071	1,196	950
59	626	840	405	1,135	1,259	1,015
60	709	948	461	1,210	1,330	1,092
61	804	1,070	527	1,292	1,407	1,178
62	905	1,202	597	1,377	1,486	1,270
63	1,003	1,322	672	1,463	1,563	1,366
64	1,091	1,428	743	1,549	1,636	1,464
65	1,168	1,521	804	1,635	1,707	1,564
66	1,247	1,612	871	1,722	1,778	1,667
67	1,329	1,701	947	1,812	1,851	1,775
68	1,396	1,776	1,007	1,908	1,928	1,890
69	1,523	1,912	1,126	2,007	2,008	2,009
70	1,738	2,131	1,338	2,107	2,086	2,130
71	1,877	2,265	1,486	2,202	2,158	2,248
72	1,980	2,362	1,598	2,287	2,219	2,359
73	2,120	2,502	1,741	2,357	2,264	2,457
74	2,277	2,655	1,902	2,412	2,292	2,540
75	2,425	2,787	2,061	2,452	2,303	2,609
76	2,587	2,920	2,238	2,478	2,297	2,665
77	2,768	3,062	2,439	2,486	2,275	2,706
78	2,961	3,212	2,668	2,480	2,237	2,734
79	3,164	3,368	2,927	2,456	2,179	2,741
80	3,383	3,522	3,211	2,409	2,099	2,724
81	3,591	3,652	3,498	2,334	1,995	2,675
82	3,765	3,736	3,768	2,229	1,866	2,590
83	3,888	3,760	3,998	2,095	1,717	2,468
84	3,946	3,719	4,161	1,936	1,555	2,311
85	3,943	3,619	4,261	1,760	1,386	2,126
86	3,888	3,470	4,305	1,572	1,215	1,920
87	3,776	3,279	4,280	1,379	1,047	1,704
88	3,612	3,052	4,196	1,187	883	1,485
89	3,426	2,794	4,102	1,001	726	1,272
90	3,198	2,507	3,943	826	579	1,071
91	2,931	2,194	3,721	666	446	886
92	2,669	1,866	3,528	523	330	718
93	2,354	1,533	3,234	401	236	568
94	1,973	1,209	2,791	298.6	162.8	438
95	1,576	912	2,287	216	107.8	326
96	1,211	654	1,807	153	68.4	233.8
97	903	442	1,395	106.6	41.5	161.3
98	646	278.4	1,036	71.1	24.3	106.9
99	439	161.6	732	43.2	13.7	68.3
100	102.8	0	287.1	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: Statistical Insights

By topic vs comparisons:

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