Life Expectancy in Comoros 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 Comoros vs South Sudan: 72 years vs 69.1 at 30, 78.2 vs 78 at 65, 85.7 vs 85.6 at 80 — significantly higher than the 67.5 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 Comoros and South Sudan.

Table

Current age, years	Total life expectancy, years
	Comoros			South Sudan
	Average	Male	Female	Average	Male	Female
0	67.5	65.4	69.7	58	55	61
1	69.8	67.9	71.9	61.8	58.9	64.7
2	70	68.1	72.1	62.5	59.5	65.5
3	70.2	68.2	72.2	63.1	60.1	66.1
4	70.3	68.4	72.4	63.6	60.6	66.6
5	70.4	68.5	72.5	64	61.1	67
6	70.5	68.5	72.5	64.4	61.5	67.3
7	70.5	68.6	72.6	64.7	61.8	67.6
8	70.6	68.7	72.6	65	62.1	67.8
9	70.6	68.7	72.7	65.2	62.4	68
10	70.7	68.7	72.7	65.4	62.6	68.2
11	70.7	68.8	72.7	65.5	62.8	68.3
12	70.7	68.8	72.8	65.7	62.9	68.4
13	70.8	68.9	72.8	65.8	63.1	68.5
14	70.8	68.9	72.9	66	63.2	68.7
15	70.9	69	72.9	66.1	63.4	68.8
16	70.9	69	72.9	66.3	63.5	68.9
17	71	69.1	73	66.4	63.7	69
18	71	69.2	73	66.6	63.9	69.2
19	71.1	69.3	73.1	66.8	64.1	69.3
20	71.2	69.4	73.2	67	64.4	69.5
21	71.3	69.5	73.2	67.2	64.6	69.6
22	71.4	69.6	73.3	67.4	64.9	69.8
23	71.4	69.7	73.4	67.6	65.1	70
24	71.5	69.8	73.4	67.8	65.4	70.1
25	71.6	69.9	73.5	68	65.7	70.3
26	71.7	70	73.5	68.3	65.9	70.4
27	71.8	70.1	73.6	68.5	66.2	70.6
28	71.9	70.1	73.7	68.7	66.5	70.8
29	71.9	70.2	73.8	68.9	66.7	71
30	72	70.3	73.8	69.1	67	71.1
31	72.1	70.4	73.9	69.3	67.2	71.3
32	72.2	70.5	74	69.5	67.4	71.5
33	72.3	70.6	74	69.8	67.7	71.7
34	72.3	70.7	74.1	70	67.9	71.8
35	72.4	70.8	74.2	70.2	68.2	72
36	72.5	70.9	74.3	70.4	68.4	72.2
37	72.6	71	74.4	70.6	68.6	72.4
38	72.7	71.1	74.5	70.8	68.9	72.5
39	72.8	71.2	74.6	71	69.1	72.7
40	72.9	71.3	74.7	71.2	69.4	72.9
41	73	71.4	74.8	71.5	69.6	73.1
42	73.1	71.5	74.9	71.7	69.9	73.3
43	73.3	71.7	75	71.9	70.1	73.5
44	73.4	71.8	75.1	72.1	70.4	73.7
45	73.5	71.9	75.2	72.4	70.6	73.9
46	73.7	72.1	75.4	72.6	70.9	74.1
47	73.8	72.3	75.5	72.8	71.2	74.3
48	74	72.4	75.6	73	71.4	74.4
49	74.1	72.6	75.8	73.3	71.7	74.6
50	74.3	72.8	75.9	73.5	72	74.8
51	74.5	73	76.1	73.8	72.3	75.1
52	74.7	73.2	76.3	74	72.6	75.3
53	74.9	73.4	76.4	74.3	72.9	75.5
54	75.1	73.7	76.6	74.5	73.2	75.7
55	75.3	73.9	76.8	74.8	73.5	76
56	75.6	74.2	77	75.1	73.8	76.2
57	75.8	74.4	77.2	75.4	74.1	76.4
58	76.1	74.7	77.4	75.7	74.5	76.7
59	76.3	75	77.6	76	74.8	76.9
60	76.6	75.4	77.9	76.3	75.1	77.2
61	76.9	75.7	78.1	76.6	75.5	77.5
62	77.2	76	78.4	76.9	75.9	77.8
63	77.5	76.4	78.6	77.3	76.3	78.1
64	77.9	76.8	78.9	77.6	76.7	78.4
65	78.2	77.2	79.2	78	77.1	78.7
66	78.6	77.6	79.5	78.4	77.5	79.1
67	79	78	79.9	78.8	77.9	79.5
68	79.4	78.5	80.2	79.2	78.4	79.8
69	79.8	79	80.6	79.7	78.9	80.2
70	80.2	79.4	80.9	80.1	79.3	80.7
71	80.7	79.9	81.3	80.6	79.8	81.1
72	81.2	80.5	81.8	81.1	80.4	81.6
73	81.6	81	82.2	81.6	80.9	82.1
74	82.2	81.6	82.7	82.1	81.5	82.6
75	82.7	82.1	83.2	82.6	82	83.1
76	83.3	82.7	83.7	83.2	82.6	83.6
77	83.8	83.4	84.3	83.8	83.2	84.2
78	84.4	84	84.8	84.4	83.8	84.7
79	85.1	84.7	85.4	85	84.5	85.3
80	85.7	85.3	86	85.6	85.1	85.9
81	86.4	86	86.6	86.3	85.8	86.6
82	87	86.7	87.3	87	86.5	87.2
83	87.7	87.4	88	87.7	87.2	87.9
84	88.4	88.1	88.7	88.4	87.9	88.6
85	89.2	88.9	89.4	89.1	88.7	89.4
86	89.9	89.7	90.1	89.9	89.4	90.1
87	90.7	90.5	90.9	90.6	90.2	90.8
88	91.5	91.3	91.6	91.4	91	91.6
89	92.3	92.1	92.4	92.2	91.8	92.4
90	93.1	92.9	93.2	93	92.6	93.2
91	93.9	93.7	94	93.8	93.4	94
92	94.8	94.6	94.8	94.7	94.2	94.8
93	95.6	95.5	95.7	95.5	95.1	95.6
94	96.5	96.3	96.5	96.3	96	96.4
95	97.3	97.2	97.4	97.2	96.9	97.3
96	98.2	98.1	98.3	98.1	97.8	98.1
97	99.1	99	99.1	98.9	98.7	99
98	100	99.9	100	99.8	99.6	99.9
99	100.9	100.8	101	100.7	100.6	100.8
100	101.8	101.7	101.9	101.7	101.6	101.8

Odds of living to age in Comoros vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 76.8% in Comoros and 61.1% in South Sudan are expected to survive till at least 60 years old, 57.9% and 45.1% will live to 70 years or older, 27.7% and 21.3% to 80+ years, and 4.48% 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
	Comoros			South Sudan
	Average	Male	Female	Average	Male	Female
1	96.7%	96.4%	97%	93.8%	93.3%	94.2%
2	96.4%	96.1%	96.7%	92.7%	92.3%	93.1%
3	96.1%	95.8%	96.4%	91.8%	91.4%	92.2%
4	96%	95.7%	96.3%	91%	90.6%	91.5%
5	95.8%	95.5%	96.1%	90.3%	89.8%	90.9%
6	95.7%	95.4%	96%	89.8%	89.2%	90.4%
7	95.6%	95.3%	96%	89.3%	88.6%	90%
8	95.6%	95.2%	95.9%	88.9%	88.2%	89.7%
9	95.5%	95.1%	95.8%	88.6%	87.8%	89.4%
10	95.4%	95.1%	95.8%	88.3%	87.4%	89.1%
11	95.4%	95%	95.7%	88%	87.1%	88.9%
12	95.3%	95%	95.7%	87.8%	86.8%	88.7%
13	95.3%	94.9%	95.6%	87.5%	86.6%	88.5%
14	95.2%	94.8%	95.6%	87.3%	86.3%	88.4%
15	95.1%	94.7%	95.5%	87.1%	86%	88.2%
16	95%	94.6%	95.4%	86.8%	85.7%	87.9%
17	94.9%	94.5%	95.3%	86.5%	85.4%	87.7%
18	94.8%	94.3%	95.2%	86.2%	85.1%	87.5%
19	94.6%	94.2%	95.1%	85.9%	84.7%	87.2%
20	94.5%	94%	95%	85.6%	84.2%	87%
21	94.3%	93.8%	94.9%	85.2%	83.7%	86.7%
22	94.2%	93.6%	94.8%	84.8%	83.2%	86.4%
23	94%	93.4%	94.7%	84.4%	82.7%	86.1%
24	93.8%	93.2%	94.5%	84%	82.2%	85.8%
25	93.7%	93%	94.4%	83.5%	81.6%	85.5%
26	93.5%	92.8%	94.3%	83.1%	81.1%	85.2%
27	93.4%	92.6%	94.2%	82.7%	80.6%	84.9%
28	93.2%	92.4%	94%	82.2%	80.1%	84.5%
29	93%	92.2%	93.9%	81.8%	79.5%	84.2%
30	92.8%	92%	93.7%	81.4%	79%	83.8%
31	92.7%	91.8%	93.6%	80.9%	78.5%	83.5%
32	92.5%	91.6%	93.4%	80.5%	77.9%	83.1%
33	92.3%	91.4%	93.2%	80%	77.4%	82.7%
34	92.1%	91.1%	93.1%	79.6%	76.9%	82.4%
35	91.9%	90.9%	92.9%	79.1%	76.3%	82%
36	91.6%	90.7%	92.7%	78.6%	75.8%	81.6%
37	91.4%	90.4%	92.4%	78.1%	75.2%	81.2%
38	91.2%	90.1%	92.2%	77.6%	74.6%	80.8%
39	90.9%	89.8%	92%	77.1%	74%	80.3%
40	90.6%	89.5%	91.7%	76.6%	73.4%	79.9%
41	90.3%	89.2%	91.4%	76.1%	72.8%	79.4%
42	90%	88.8%	91.1%	75.5%	72.1%	78.9%
43	89.6%	88.4%	90.8%	74.9%	71.5%	78.4%
44	89.2%	88%	90.5%	74.3%	70.8%	77.9%
45	88.8%	87.5%	90.1%	73.7%	70.1%	77.4%
46	88.4%	87%	89.7%	73.1%	69.4%	76.9%
47	87.9%	86.5%	89.3%	72.5%	68.6%	76.4%
48	87.4%	85.9%	88.9%	71.8%	67.9%	75.8%
49	86.8%	85.3%	88.4%	71.1%	67.1%	75.3%
50	86.2%	84.6%	87.9%	70.4%	66.3%	74.7%
51	85.5%	83.8%	87.3%	69.7%	65.4%	74%
52	84.8%	83%	86.8%	68.9%	64.5%	73.4%
53	84.1%	82.1%	86.1%	68%	63.5%	72.7%
54	83.2%	81.2%	85.5%	67.2%	62.5%	71.9%
55	82.4%	80.1%	84.7%	66.3%	61.5%	71.1%
56	81.4%	79%	84%	65.3%	60.4%	70.3%
57	80.4%	77.8%	83.1%	64.4%	59.3%	69.5%
58	79.3%	76.5%	82.3%	63.3%	58.2%	68.6%
59	78.1%	75.1%	81.3%	62.3%	57%	67.6%
60	76.8%	73.6%	80.3%	61.1%	55.7%	66.6%
61	75.4%	72%	79.2%	59.9%	54.4%	65.5%
62	73.9%	70.2%	78%	58.6%	53%	64.3%
63	72.3%	68.4%	76.7%	57.3%	51.5%	63.1%
64	70.6%	66.4%	75.3%	55.8%	49.9%	61.7%
65	68.8%	64.3%	73.7%	54.2%	48.3%	60.2%
66	66.9%	62.1%	72.1%	52.6%	46.6%	58.7%
67	64.8%	59.8%	70.3%	50.9%	44.8%	57%
68	62.6%	57.3%	68.4%	49.1%	42.9%	55.2%
69	60.3%	54.7%	66.4%	47.1%	41%	53.3%
70	57.9%	52.1%	64.2%	45.1%	39%	51.3%
71	55.3%	49.3%	61.8%	43%	36.9%	49.2%
72	52.6%	46.4%	59.2%	40.8%	34.7%	46.9%
73	49.7%	43.5%	56.5%	38.5%	32.5%	44.6%
74	46.8%	40.5%	53.6%	36.2%	30.2%	42.1%
75	43.7%	37.4%	50.5%	33.7%	27.9%	39.6%
76	40.6%	34.3%	47.3%	31.3%	25.6%	36.9%
77	37.3%	31.2%	44%	28.8%	23.3%	34.3%
78	34.1%	28.2%	40.6%	26.3%	21%	31.6%
79	30.9%	25.2%	37.1%	23.8%	18.8%	28.8%
80	27.7%	22.3%	33.7%	21.3%	16.6%	26.1%
81	24.6%	19.5%	30.2%	18.9%	14.5%	23.3%
82	21.6%	16.9%	26.8%	16.6%	12.5%	20.6%
83	18.8%	14.5%	23.5%	14.4%	10.6%	18%
84	16.1%	12.2%	20.4%	12.3%	8.88%	15.6%
85	13.5%	10.1%	17.4%	10.3%	7.31%	13.2%
86	11.2%	8.23%	14.6%	8.54%	5.92%	11.1%
87	9.16%	6.59%	12.1%	6.96%	4.7%	9.18%
88	7.35%	5.18%	9.84%	5.58%	3.65%	7.47%
89	5.79%	3.99%	7.87%	4.38%	2.76%	5.98%
90	4.48%	3.02%	6.18%	3.37%	2.03%	4.7%
91	3.4%	2.24%	4.75%	2.54%	1.45%	3.62%
92	2.52%	1.62%	3.59%	1.87%	1%	2.73%
93	1.83%	1.15%	2.65%	1.35%	0.67%	2.01%
94	1.3%	0.8%	1.91%	0.94%	0.44%	1.44%
95	0.9%	0.54%	1.34%	0.64%	0.27%	1%
96	0.61%	0.35%	0.92%	0.43%	0.16%	0.67%
97	0.4%	0.23%	0.61%	0.27%	0.1%	0.44%
98	0.25%	0.14%	0.39%	0.17%	0.05%	0.28%
99	0.16%	0.08%	0.25%	0.1%	0.03%	0.17%
100	0.1%	0.05%	0.15%	0.06%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 3.33% in the birth year in Comoros and 6.22% in South Sudan, 0.19% vs 0.55% at age 30, 1.8% vs 1.98% at 60, and 11.2% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Comoros			South Sudan
	Average	Male	Female	Average	Male	Female
0	3.33%	3.62%	3.03%	6.22%	6.67%	5.75%
1	0.31%	0.31%	0.31%	1.16%	1.1%	1.22%
2	0.24%	0.24%	0.23%	0.99%	0.99%	0.98%
3	0.18%	0.19%	0.18%	0.85%	0.9%	0.8%
4	0.14%	0.15%	0.14%	0.73%	0.8%	0.65%
5	0.12%	0.12%	0.11%	0.62%	0.71%	0.53%
6	0.09%	0.1%	0.09%	0.53%	0.63%	0.43%
7	0.08%	0.09%	0.07%	0.45%	0.54%	0.36%
8	0.07%	0.07%	0.06%	0.39%	0.47%	0.31%
9	0.06%	0.07%	0.06%	0.34%	0.4%	0.27%
10	0.06%	0.06%	0.05%	0.3%	0.35%	0.24%
11	0.06%	0.07%	0.06%	0.27%	0.32%	0.22%
12	0.06%	0.07%	0.06%	0.26%	0.3%	0.22%
13	0.07%	0.08%	0.06%	0.26%	0.3%	0.22%
14	0.08%	0.09%	0.07%	0.27%	0.31%	0.22%
15	0.1%	0.11%	0.08%	0.29%	0.34%	0.24%
16	0.11%	0.13%	0.09%	0.32%	0.37%	0.26%
17	0.13%	0.16%	0.1%	0.35%	0.42%	0.27%
18	0.15%	0.18%	0.11%	0.38%	0.47%	0.29%
19	0.16%	0.2%	0.12%	0.41%	0.52%	0.3%
20	0.17%	0.21%	0.12%	0.44%	0.57%	0.32%
21	0.17%	0.22%	0.12%	0.47%	0.61%	0.33%
22	0.17%	0.22%	0.12%	0.49%	0.63%	0.34%
23	0.17%	0.22%	0.13%	0.5%	0.65%	0.35%
24	0.17%	0.21%	0.13%	0.51%	0.65%	0.36%
25	0.17%	0.21%	0.13%	0.51%	0.65%	0.37%
26	0.18%	0.21%	0.14%	0.52%	0.65%	0.38%
27	0.18%	0.21%	0.15%	0.52%	0.65%	0.39%
28	0.18%	0.21%	0.15%	0.53%	0.65%	0.41%
29	0.19%	0.21%	0.16%	0.54%	0.66%	0.42%
30	0.19%	0.22%	0.17%	0.55%	0.67%	0.43%
31	0.2%	0.23%	0.18%	0.56%	0.68%	0.44%
32	0.21%	0.24%	0.18%	0.57%	0.69%	0.45%
33	0.22%	0.25%	0.19%	0.58%	0.7%	0.46%
34	0.23%	0.26%	0.21%	0.59%	0.71%	0.47%
35	0.25%	0.27%	0.22%	0.6%	0.73%	0.48%
36	0.26%	0.29%	0.23%	0.61%	0.74%	0.49%
37	0.28%	0.31%	0.25%	0.63%	0.76%	0.51%
38	0.3%	0.33%	0.27%	0.65%	0.79%	0.53%
39	0.32%	0.35%	0.28%	0.68%	0.82%	0.56%
40	0.34%	0.38%	0.3%	0.71%	0.85%	0.58%
41	0.37%	0.41%	0.32%	0.74%	0.89%	0.61%
42	0.39%	0.44%	0.35%	0.77%	0.92%	0.63%
43	0.43%	0.48%	0.37%	0.79%	0.96%	0.64%
44	0.46%	0.52%	0.4%	0.81%	0.99%	0.66%
45	0.5%	0.57%	0.43%	0.84%	1.02%	0.67%
46	0.54%	0.62%	0.46%	0.86%	1.06%	0.69%
47	0.59%	0.68%	0.5%	0.9%	1.11%	0.71%
48	0.64%	0.74%	0.54%	0.95%	1.17%	0.75%
49	0.7%	0.81%	0.58%	1%	1.24%	0.79%
50	0.76%	0.89%	0.62%	1.07%	1.32%	0.85%
51	0.83%	0.97%	0.67%	1.14%	1.41%	0.91%
52	0.9%	1.07%	0.72%	1.21%	1.49%	0.97%
53	0.98%	1.16%	0.78%	1.28%	1.57%	1.03%
54	1.07%	1.27%	0.84%	1.35%	1.65%	1.09%
55	1.16%	1.39%	0.91%	1.42%	1.73%	1.15%
56	1.26%	1.52%	0.98%	1.49%	1.82%	1.21%
57	1.38%	1.67%	1.06%	1.58%	1.93%	1.29%
58	1.5%	1.83%	1.16%	1.69%	2.06%	1.39%
59	1.64%	2.01%	1.26%	1.82%	2.21%	1.5%
60	1.8%	2.2%	1.39%	1.98%	2.39%	1.64%
61	1.97%	2.41%	1.52%	2.16%	2.59%	1.8%
62	2.15%	2.64%	1.67%	2.35%	2.81%	1.97%
63	2.36%	2.89%	1.84%	2.56%	3.04%	2.17%
64	2.58%	3.16%	2.02%	2.78%	3.28%	2.37%
65	2.82%	3.45%	2.22%	3.02%	3.54%	2.6%
66	3.08%	3.76%	2.45%	3.28%	3.83%	2.84%
67	3.37%	4.1%	2.71%	3.57%	4.14%	3.12%
68	3.69%	4.47%	3%	3.9%	4.5%	3.43%
69	4.06%	4.88%	3.34%	4.26%	4.91%	3.77%
70	4.46%	5.32%	3.72%	4.68%	5.37%	4.16%
71	4.91%	5.81%	4.15%	5.13%	5.87%	4.58%
72	5.41%	6.35%	4.63%	5.62%	6.41%	5.03%
73	5.96%	6.94%	5.15%	6.14%	6.99%	5.52%
74	6.56%	7.57%	5.72%	6.69%	7.61%	6.05%
75	7.21%	8.26%	6.35%	7.29%	8.28%	6.61%
76	7.9%	8.99%	7.01%	7.94%	9%	7.23%
77	8.64%	9.77%	7.73%	8.67%	9.8%	7.92%
78	9.43%	10.6%	8.51%	9.47%	10.7%	8.69%
79	10.3%	11.5%	9.34%	10.4%	11.7%	9.54%
80	11.2%	12.4%	10.2%	11.3%	12.7%	10.5%
81	12.2%	13.4%	11.2%	12.4%	13.8%	11.5%
82	13.3%	14.5%	12.3%	13.5%	15%	12.6%
83	14.4%	15.8%	13.4%	14.6%	16.3%	13.7%
84	15.7%	17.1%	14.6%	15.9%	17.6%	14.9%
85	17%	18.5%	15.9%	17.1%	19%	16.1%
86	18.4%	19.9%	17.3%	18.5%	20.6%	17.4%
87	19.8%	21.4%	18.6%	19.9%	22.4%	18.6%
88	21.2%	22.9%	20.1%	21.4%	24.3%	20%
89	22.7%	24.4%	21.5%	23%	26.4%	21.4%
90	24.2%	25.9%	23%	24.6%	28.6%	22.9%
91	25.7%	27.5%	24.6%	26.3%	30.8%	24.6%
92	27.3%	29.1%	26.2%	28.1%	33%	26.4%
93	29%	30.8%	28%	30%	35.2%	28.4%
94	30.7%	32.5%	29.8%	31.9%	37.5%	30.6%
95	32.6%	34.3%	31.6%	33.8%	39.8%	32.8%
96	34.4%	36.1%	33.5%	35.6%	41.9%	35%
97	36.2%	37.8%	35.4%	37.7%	43.8%	37.1%
98	38%	39.5%	37.2%	40.5%	45.5%	39.1%
99	39.7%	41.1%	38.9%	43.7%	47.1%	41%
100	41.5%	42.9%	40.8%	45.7%	49.1%	43.1%

Death rate by age in Comoros compared to South Sudan

In Comoros, the most common age of death is 0, compared to 0 in South Sudan. The median age of death is 72.9 in Comoros 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
	Comoros			South Sudan
	Total	Male	Female	Total	Male	Female
0	3,328	3,618	3,032	6,215	6,667	5,754
1	300	301	299.3	1,086	1,027	1,147
2	230.3	235.4	225.1	915	916	915
3	177.9	185.1	170.4	776	818	733
4	138.8	146.7	130.7	660	727	591
5	110.2	117.9	102.3	561	641	479
6	89.6	96.6	82.4	477	558	393
7	75.1	81.2	68.8	404	480	326
8	65.4	70.7	59.9	344	411	275.7
9	59.5	64.3	54.7	296.8	353	238.8
10	57	61.4	52.4	262	309	213.5
11	57.5	62.1	52.7	239.4	279	198.2
12	61	66.5	55.4	227.9	262.8	191.3
13	67.9	75	60.5	226.8	260.1	192
14	78.2	88.2	67.9	235.1	270	198.7
15	91.8	106	77.1	251.3	290.8	210.1
16	107.8	127.6	87.1	273.6	321	224.4
17	124.3	150.5	96.7	299.3	357	239.3
18	139.2	171.8	104.6	327	397	253.5
19	150.4	188.3	110.2	354	439	265.4
20	157.5	198.8	113.6	379	478	275.1
21	161	203.6	115.7	398	508	283.3
22	162	204	117.4	412	527	290.7
23	162.1	202.2	119.7	420	535	298.4
24	162.1	199.4	122.8	424	536	307
25	162.7	196.8	127	427	532	316
26	164	195	132.1	429	527	325
27	166.3	194.4	137.7	432	523	335
28	169.5	195.4	143.7	436	522	344
29	173.7	197.9	149.9	440	523	352
30	178.9	202.2	156.6	446	527	359
31	185.4	208.2	163.8	451	533	366
32	193.3	216	172	456	538	372
33	202.7	225.4	181.3	461	544	377
34	213.6	236.6	191.9	466	549	384
35	226	249.4	203.8	473	555	392
36	239.9	263.9	216.8	481	563	402
37	255.2	280.1	230.7	493	575	415
38	271.8	298.1	245.5	508	590	431
39	289.9	318	261.2	526	608	449
40	310	340	277.8	545	628	467
41	331	365	295.6	564	648	483
42	355	393	315	580	667	496
43	382	424	336	593	685	506
44	411	459	359	604	700	512
45	443	498	385	616	717	519
46	479	541	413	631	737	528
47	518	587	443	651	762	543
48	560	639	476	679	794	566
49	606	694	511	713	832	596
50	656	753	549	753	875	633
51	709	816	588	795	919	672
52	765	884	629	835	961	711
53	824	956	672	872	999	748
54	887	1,034	718	906	1,033	782
55	955	1,116	767	939	1,066	816
56	1,027	1,204	821	976	1,102	853
57	1,106	1,299	882	1,018	1,145	896
58	1,190	1,400	951	1,072	1,197	950
59	1,281	1,507	1,027	1,136	1,260	1,015
60	1,379	1,620	1,112	1,210	1,332	1,092
61	1,483	1,736	1,205	1,292	1,409	1,178
62	1,591	1,856	1,304	1,378	1,488	1,270
63	1,704	1,976	1,409	1,465	1,565	1,366
64	1,820	2,097	1,521	1,551	1,639	1,464
65	1,939	2,217	1,640	1,636	1,710	1,565
66	2,060	2,335	1,767	1,724	1,782	1,668
67	2,185	2,450	1,905	1,815	1,855	1,777
68	2,314	2,562	2,055	1,911	1,933	1,891
69	2,446	2,670	2,216	2,011	2,013	2,011
70	2,582	2,773	2,387	2,111	2,091	2,133
71	2,716	2,866	2,563	2,207	2,164	2,252
72	2,845	2,949	2,740	2,292	2,226	2,363
73	2,964	3,017	2,909	2,364	2,272	2,461
74	3,068	3,065	3,066	2,419	2,300	2,546
75	3,150	3,090	3,204	2,459	2,311	2,615
76	3,205	3,085	3,317	2,485	2,305	2,672
77	3,229	3,050	3,401	2,497	2,284	2,714
78	3,219	2,983	3,452	2,490	2,246	2,742
79	3,175	2,888	3,468	2,465	2,188	2,750
80	3,101	2,766	3,447	2,417	2,108	2,734
81	2,998	2,623	3,389	2,342	2,003	2,685
82	2,867	2,460	3,292	2,237	1,874	2,600
83	2,707	2,279	3,156	2,103	1,725	2,478
84	2,519	2,081	2,981	1,944	1,562	2,321
85	2,304	1,867	2,768	1,767	1,392	2,135
86	2,065	1,641	2,523	1,579	1,221	1,929
87	1,814	1,411	2,255	1,386	1,052	1,712
88	1,560	1,186	1,973	1,193	887	1,492
89	1,313	974	1,692	1,007	729	1,279
90	1,082	782	1,420	831	582	1,077
91	873	614	1,168	670	447	890
92	689	472	940	527	331	722
93	532	354	740	404	237	571
94	400	259	567	301	163.5	440
95	293.5	184.3	423	217.2	108.2	328
96	209.1	127.4	307	151.7	68.7	235
97	144.4	85.4	215.2	103.4	41.7	162.1
98	96.7	55.5	146.3	69.1	24.4	107.5
99	62.7	34.9	96.2	44.4	13.7	68.6
100	0	0	0	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 Comoros 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
• Comoros vs South Sudan: Numbers and Trends

By topic vs comparisons:

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