Life Expectancy in Comoros vs Guinea-Bissau (1950-2026)

Life expectancy by current age

Chart Table

Comoros

Male

Female

Guinea-Bissau

Male

Female

1x

Current age, years	Total life expectancy, years
	Comoros			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102	101.9	102.1
99	100.9	100.8	101	101.1	101	101.2
98	100	99.9	100	100.2	100.1	100.3
97	99.1	99	99.1	99.3	99.2	99.4
96	98.2	98.1	98.3	98.4	98.3	98.5
95	97.3	97.2	97.4	97.6	97.4	97.6
94	96.5	96.3	96.5	96.7	96.6	96.8
93	95.6	95.5	95.7	95.9	95.7	95.9
92	94.8	94.6	94.8	95	94.9	95.1
91	93.9	93.7	94	94.2	94	94.3
90	93.1	92.9	93.2	93.4	93.2	93.5
89	92.3	92.1	92.4	92.6	92.4	92.7
88	91.5	91.3	91.6	91.8	91.6	92
87	90.7	90.5	90.9	91	90.8	91.2
86	89.9	89.7	90.1	90.3	90	90.4
85	89.2	88.9	89.4	89.5	89.3	89.7
84	88.4	88.1	88.7	88.8	88.5	89
83	87.7	87.4	88	88.1	87.8	88.3
82	87	86.7	87.3	87.4	87.1	87.7
81	86.4	86	86.6	86.8	86.4	87
80	85.7	85.3	86	86.1	85.7	86.4
79	85.1	84.7	85.4	85.5	85.1	85.8
78	84.4	84	84.8	84.9	84.4	85.2
77	83.8	83.4	84.3	84.3	83.8	84.7
76	83.3	82.7	83.7	83.7	83.2	84.1
75	82.7	82.1	83.2	83.2	82.6	83.6
74	82.2	81.6	82.7	82.7	82.1	83.1
73	81.6	81	82.2	82.2	81.5	82.6
72	81.2	80.5	81.8	81.7	81	82.1
71	80.7	79.9	81.3	81.2	80.5	81.7
70	80.2	79.4	80.9	80.7	80	81.3
69	79.8	79	80.6	80.3	79.5	80.9
68	79.4	78.5	80.2	79.9	79.1	80.5
67	79	78	79.9	79.5	78.6	80.1
66	78.6	77.6	79.5	79.1	78.2	79.8
65	78.2	77.2	79.2	78.7	77.8	79.4
64	77.9	76.8	78.9	78.4	77.4	79.1
63	77.5	76.4	78.6	78	77	78.8
62	77.2	76	78.4	77.7	76.6	78.5
61	76.9	75.7	78.1	77.4	76.3	78.2
60	76.6	75.4	77.9	77.1	75.9	78
59	76.3	75	77.6	76.8	75.6	77.7
58	76.1	74.7	77.4	76.5	75.3	77.5
57	75.8	74.4	77.2	76.3	75	77.2
56	75.6	74.2	77	76	74.7	77
55	75.3	73.9	76.8	75.7	74.4	76.8
54	75.1	73.7	76.6	75.5	74.1	76.6
53	74.9	73.4	76.4	75.2	73.8	76.4
52	74.7	73.2	76.3	75	73.5	76.2
51	74.5	73	76.1	74.8	73.3	76
50	74.3	72.8	75.9	74.6	73	75.8
49	74.1	72.6	75.8	74.4	72.8	75.6
48	74	72.4	75.6	74.2	72.6	75.5
47	73.8	72.3	75.5	74	72.4	75.3
46	73.7	72.1	75.4	73.8	72.1	75.1
45	73.5	71.9	75.2	73.6	71.9	75
44	73.4	71.8	75.1	73.4	71.7	74.8
43	73.3	71.7	75	73.3	71.5	74.7
42	73.1	71.5	74.9	73.1	71.4	74.6
41	73	71.4	74.8	72.9	71.2	74.4
40	72.9	71.3	74.7	72.8	71	74.3
39	72.8	71.2	74.6	72.6	70.8	74.2
38	72.7	71.1	74.5	72.5	70.7	74
37	72.6	71	74.4	72.3	70.5	73.9
36	72.5	70.9	74.3	72.2	70.3	73.8
35	72.4	70.8	74.2	72	70.2	73.7
34	72.3	70.7	74.1	71.9	70	73.5
33	72.3	70.6	74	71.8	69.9	73.4
32	72.2	70.5	74	71.7	69.7	73.3
31	72.1	70.4	73.9	71.5	69.6	73.2
30	72	70.3	73.8	71.4	69.5	73.1
29	71.9	70.2	73.8	71.3	69.3	73
28	71.9	70.1	73.7	71.2	69.2	72.9
27	71.8	70.1	73.6	71.1	69.1	72.8
26	71.7	70	73.5	70.9	68.9	72.7
25	71.6	69.9	73.5	70.8	68.8	72.6
24	71.5	69.8	73.4	70.7	68.7	72.5
23	71.4	69.7	73.4	70.6	68.5	72.4
22	71.4	69.6	73.3	70.5	68.4	72.4
21	71.3	69.5	73.2	70.4	68.3	72.3
20	71.2	69.4	73.2	70.3	68.2	72.2
19	71.1	69.3	73.1	70.2	68.1	72.1
18	71	69.2	73	70.1	68	72
17	71	69.1	73	70	67.9	72
16	70.9	69	72.9	69.9	67.8	71.9
15	70.9	69	72.9	69.9	67.7	71.8
14	70.8	68.9	72.9	69.8	67.6	71.8
13	70.8	68.9	72.8	69.7	67.6	71.7
12	70.7	68.8	72.8	69.7	67.5	71.7
11	70.7	68.8	72.7	69.6	67.4	71.6
10	70.7	68.7	72.7	69.6	67.4	71.5
9	70.6	68.7	72.7	69.5	67.3	71.5
8	70.6	68.7	72.6	69.4	67.2	71.4
7	70.5	68.6	72.6	69.3	67.1	71.3
6	70.5	68.5	72.5	69.2	67	71.2
5	70.4	68.5	72.5	69.1	66.9	71.1
4	70.3	68.4	72.4	68.9	66.7	70.9
3	70.2	68.2	72.2	68.7	66.5	70.7
2	70	68.1	72.1	68.3	66.1	70.4
1	69.8	67.9	71.9	67.7	65.5	69.8
0	67.5	65.4	69.7	64.6	62.1	66.9

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 Comoros can expect to live to 72 years compared to 71.4 in Guinea-Bissau, rising to 78.2 and 78.7 at 65, and to 85.7 and 86.1 at 80 — higher than the 67.5 and 64.6 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Comoros and Guinea-Bissau.

Probability of surviving to a given age

Chart Table

Comoros

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Survival probability
	Comoros			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	0.1%	0.05%	0.15%	0.17%	0.1%	0.25%
99	0.16%	0.08%	0.25%	0.27%	0.15%	0.39%
98	0.25%	0.14%	0.39%	0.41%	0.24%	0.58%
97	0.4%	0.23%	0.61%	0.61%	0.36%	0.85%
96	0.61%	0.35%	0.92%	0.89%	0.54%	1.23%
95	0.9%	0.54%	1.34%	1.27%	0.79%	1.73%
94	1.3%	0.8%	1.91%	1.76%	1.12%	2.37%
93	1.83%	1.15%	2.65%	2.4%	1.55%	3.18%
92	2.52%	1.62%	3.59%	3.19%	2.11%	4.18%
91	3.4%	2.24%	4.75%	4.14%	2.81%	5.38%
90	4.48%	3.02%	6.18%	5.32%	3.67%	6.82%
89	5.79%	3.99%	7.87%	6.68%	4.71%	8.48%
88	7.35%	5.18%	9.84%	8.27%	5.94%	10.4%
87	9.16%	6.59%	12.1%	10.1%	7.36%	12.5%
86	11.2%	8.23%	14.6%	12.1%	8.99%	14.9%
85	13.5%	10.1%	17.4%	14.3%	10.8%	17.4%
84	16.1%	12.2%	20.4%	16.7%	12.8%	20.2%
83	18.8%	14.5%	23.5%	19.3%	15%	23%
82	21.6%	16.9%	26.8%	21.9%	17.3%	26%
81	24.6%	19.5%	30.2%	24.7%	19.7%	28.9%
80	27.7%	22.3%	33.7%	27.5%	22.3%	32%
79	30.9%	25.2%	37.1%	30.4%	24.9%	35.1%
78	34.1%	28.2%	40.6%	33.2%	27.5%	38.1%
77	37.3%	31.2%	44%	36.1%	30.2%	41.1%
76	40.6%	34.3%	47.3%	38.9%	32.9%	44.1%
75	43.7%	37.4%	50.5%	41.7%	35.6%	46.9%
74	46.8%	40.5%	53.6%	44.4%	38.3%	49.7%
73	49.7%	43.5%	56.5%	47%	40.9%	52.4%
72	52.6%	46.4%	59.2%	49.6%	43.5%	54.9%
71	55.3%	49.3%	61.8%	51.9%	45.9%	57.3%
70	57.9%	52.1%	64.2%	54.3%	48.3%	59.6%
69	60.3%	54.7%	66.4%	56.4%	50.6%	61.7%
68	62.6%	57.3%	68.4%	58.5%	52.8%	63.6%
67	64.8%	59.8%	70.3%	60.4%	54.9%	65.5%
66	66.9%	62.1%	72.1%	62.2%	56.9%	67.2%
65	68.8%	64.3%	73.7%	64%	58.8%	68.8%
64	70.6%	66.4%	75.3%	65.6%	60.6%	70.4%
63	72.3%	68.4%	76.7%	67.2%	62.4%	71.8%
62	73.9%	70.2%	78%	68.6%	64%	73.1%
61	75.4%	72%	79.2%	70%	65.6%	74.3%
60	76.8%	73.6%	80.3%	71.3%	67.1%	75.4%
59	78.1%	75.1%	81.3%	72.5%	68.4%	76.5%
58	79.3%	76.5%	82.3%	73.6%	69.7%	77.5%
57	80.4%	77.8%	83.1%	74.7%	70.9%	78.4%
56	81.4%	79%	84%	75.7%	72.1%	79.2%
55	82.4%	80.1%	84.7%	76.6%	73.2%	80%
54	83.2%	81.2%	85.5%	77.5%	74.3%	80.8%
53	84.1%	82.1%	86.1%	78.4%	75.3%	81.5%
52	84.8%	83%	86.8%	79.2%	76.2%	82.2%
51	85.5%	83.8%	87.3%	79.9%	77.1%	82.8%
50	86.2%	84.6%	87.9%	80.7%	78%	83.4%
49	86.8%	85.3%	88.4%	81.3%	78.8%	84%
48	87.4%	85.9%	88.9%	82%	79.5%	84.5%
47	87.9%	86.5%	89.3%	82.6%	80.2%	85%
46	88.4%	87%	89.7%	83.1%	80.9%	85.4%
45	88.8%	87.5%	90.1%	83.7%	81.5%	85.9%
44	89.2%	88%	90.5%	84.2%	82.1%	86.3%
43	89.6%	88.4%	90.8%	84.7%	82.7%	86.7%
42	90%	88.8%	91.1%	85.1%	83.2%	87.1%
41	90.3%	89.2%	91.4%	85.6%	83.7%	87.5%
40	90.6%	89.5%	91.7%	86%	84.2%	87.8%
39	90.9%	89.8%	92%	86.4%	84.7%	88.1%
38	91.2%	90.1%	92.2%	86.8%	85.1%	88.5%
37	91.4%	90.4%	92.4%	87.1%	85.5%	88.8%
36	91.6%	90.7%	92.7%	87.5%	85.9%	89%
35	91.9%	90.9%	92.9%	87.8%	86.3%	89.3%
34	92.1%	91.1%	93.1%	88.1%	86.7%	89.6%
33	92.3%	91.4%	93.2%	88.4%	87%	89.8%
32	92.5%	91.6%	93.4%	88.7%	87.4%	90.1%
31	92.7%	91.8%	93.6%	89%	87.7%	90.3%
30	92.8%	92%	93.7%	89.2%	88%	90.5%
29	93%	92.2%	93.9%	89.5%	88.3%	90.7%
28	93.2%	92.4%	94%	89.7%	88.6%	90.9%
27	93.4%	92.6%	94.2%	90%	88.9%	91.1%
26	93.5%	92.8%	94.3%	90.2%	89.1%	91.3%
25	93.7%	93%	94.4%	90.4%	89.4%	91.5%
24	93.8%	93.2%	94.5%	90.7%	89.7%	91.7%
23	94%	93.4%	94.7%	90.9%	89.9%	91.8%
22	94.2%	93.6%	94.8%	91.1%	90.2%	92%
21	94.3%	93.8%	94.9%	91.3%	90.4%	92.2%
20	94.5%	94%	95%	91.5%	90.6%	92.3%
19	94.6%	94.2%	95.1%	91.6%	90.9%	92.5%
18	94.8%	94.3%	95.2%	91.8%	91%	92.6%
17	94.9%	94.5%	95.3%	92%	91.2%	92.7%
16	95%	94.6%	95.4%	92.1%	91.4%	92.8%
15	95.1%	94.7%	95.5%	92.2%	91.5%	92.9%
14	95.2%	94.8%	95.6%	92.3%	91.6%	93%
13	95.3%	94.9%	95.6%	92.4%	91.7%	93.1%
12	95.3%	95%	95.7%	92.5%	91.8%	93.2%
11	95.4%	95%	95.7%	92.6%	91.9%	93.3%
10	95.4%	95.1%	95.8%	92.7%	92%	93.4%
9	95.5%	95.1%	95.8%	92.8%	92.2%	93.5%
8	95.6%	95.2%	95.9%	92.9%	92.3%	93.6%
7	95.6%	95.3%	96%	93.1%	92.4%	93.7%
6	95.7%	95.4%	96%	93.2%	92.6%	93.8%
5	95.8%	95.5%	96.1%	93.4%	92.8%	94%
4	96%	95.7%	96.3%	93.6%	93%	94.2%
3	96.1%	95.8%	96.4%	94%	93.4%	94.6%
2	96.4%	96.1%	96.7%	94.5%	94%	95.1%
1	96.7%	96.4%	97%	95.3%	94.8%	95.9%

This chart shows the odds of living to each age from birth. 76.8% of newborns in Comoros and 71.3% in Guinea-Bissau are expected to live past 60, 57.9% and 54.3% past 70, 27.7% and 27.5% past 80, and only 4.48% and 5.32% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Comoros

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Probability of dying
	Comoros			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	41.5%	42.9%	40.8%	37.5%	38.9%	36.9%
99	39.7%	41.1%	38.9%	36.1%	37.5%	35.4%
98	38%	39.5%	37.2%	34.2%	35.7%	33.5%
97	36.2%	37.8%	35.4%	32.8%	34.3%	32%
96	34.4%	36.1%	33.5%	31.3%	32.8%	30.5%
95	32.6%	34.3%	31.6%	29.7%	31.3%	28.9%
94	30.7%	32.5%	29.8%	28%	29.6%	27.1%
93	29%	30.8%	28%	26.3%	28%	25.5%
92	27.3%	29.1%	26.2%	24.8%	26.4%	23.9%
91	25.7%	27.5%	24.6%	23.1%	24.8%	22.2%
90	24.2%	25.9%	23%	22.1%	23.6%	21.2%
89	22.7%	24.4%	21.5%	20.4%	22%	19.5%
88	21.2%	22.9%	20.1%	19.2%	20.7%	18.3%
87	19.8%	21.4%	18.6%	17.9%	19.3%	17%
86	18.4%	19.9%	17.3%	16.7%	18.1%	15.9%
85	17%	18.5%	15.9%	15.5%	16.8%	14.7%
84	15.7%	17.1%	14.6%	14.4%	15.7%	13.6%
83	14.4%	15.8%	13.4%	13.2%	14.5%	12.4%
82	13.3%	14.5%	12.3%	12.2%	13.4%	11.4%
81	12.2%	13.4%	11.2%	11%	12.2%	10.3%
80	11.2%	12.4%	10.2%	10.3%	11.4%	9.62%
79	10.3%	11.5%	9.34%	9.4%	10.5%	8.71%
78	9.43%	10.6%	8.51%	8.69%	9.71%	8.04%
77	8.64%	9.77%	7.73%	7.9%	8.89%	7.28%
76	7.9%	8.99%	7.01%	7.28%	8.22%	6.7%
75	7.21%	8.26%	6.35%	6.69%	7.58%	6.14%
74	6.56%	7.57%	5.72%	6.1%	6.96%	5.58%
73	5.96%	6.94%	5.15%	5.56%	6.39%	5.07%
72	5.41%	6.35%	4.63%	5.1%	5.88%	4.63%
71	4.91%	5.81%	4.15%	4.57%	5.32%	4.12%
70	4.46%	5.32%	3.72%	4.26%	4.97%	3.84%
69	4.06%	4.88%	3.34%	3.82%	4.5%	3.4%
68	3.69%	4.47%	3%	3.51%	4.15%	3.11%
67	3.37%	4.1%	2.71%	3.2%	3.82%	2.82%
66	3.08%	3.76%	2.45%	2.94%	3.52%	2.57%
65	2.82%	3.45%	2.22%	2.73%	3.28%	2.37%
64	2.58%	3.16%	2.02%	2.51%	3.02%	2.16%
63	2.36%	2.89%	1.84%	2.31%	2.79%	1.97%
62	2.15%	2.64%	1.67%	2.13%	2.58%	1.8%
61	1.97%	2.41%	1.52%	1.94%	2.35%	1.62%
60	1.8%	2.2%	1.39%	1.82%	2.2%	1.52%
59	1.64%	2.01%	1.26%	1.65%	2.01%	1.36%
58	1.5%	1.83%	1.16%	1.53%	1.86%	1.26%
57	1.38%	1.67%	1.06%	1.41%	1.72%	1.15%
56	1.26%	1.52%	0.98%	1.32%	1.61%	1.08%
55	1.16%	1.39%	0.91%	1.24%	1.51%	1%
54	1.07%	1.27%	0.84%	1.16%	1.42%	0.94%
53	0.98%	1.16%	0.78%	1.09%	1.33%	0.88%
52	0.9%	1.07%	0.72%	1.03%	1.25%	0.83%
51	0.83%	0.97%	0.67%	0.94%	1.15%	0.76%
50	0.76%	0.89%	0.62%	0.9%	1.09%	0.72%
49	0.7%	0.81%	0.58%	0.83%	1.01%	0.66%
48	0.64%	0.74%	0.54%	0.77%	0.94%	0.62%
47	0.59%	0.68%	0.5%	0.72%	0.88%	0.58%
46	0.54%	0.62%	0.46%	0.68%	0.82%	0.54%
45	0.5%	0.57%	0.43%	0.65%	0.78%	0.52%
44	0.46%	0.52%	0.4%	0.61%	0.73%	0.49%
43	0.43%	0.48%	0.37%	0.57%	0.69%	0.46%
42	0.39%	0.44%	0.35%	0.55%	0.65%	0.45%
41	0.37%	0.41%	0.32%	0.51%	0.61%	0.42%
40	0.34%	0.38%	0.3%	0.49%	0.58%	0.4%
39	0.32%	0.35%	0.28%	0.46%	0.55%	0.38%
38	0.3%	0.33%	0.27%	0.44%	0.52%	0.36%
37	0.28%	0.31%	0.25%	0.41%	0.49%	0.34%
36	0.26%	0.29%	0.23%	0.39%	0.47%	0.32%
35	0.25%	0.27%	0.22%	0.37%	0.44%	0.31%
34	0.23%	0.26%	0.21%	0.36%	0.42%	0.29%
33	0.22%	0.25%	0.19%	0.34%	0.4%	0.28%
32	0.21%	0.24%	0.18%	0.32%	0.38%	0.27%
31	0.2%	0.23%	0.18%	0.31%	0.36%	0.25%
30	0.19%	0.22%	0.17%	0.3%	0.35%	0.24%
29	0.19%	0.21%	0.16%	0.28%	0.34%	0.23%
28	0.18%	0.21%	0.15%	0.28%	0.33%	0.22%
27	0.18%	0.21%	0.15%	0.27%	0.32%	0.22%
26	0.18%	0.21%	0.14%	0.26%	0.31%	0.21%
25	0.17%	0.21%	0.13%	0.25%	0.3%	0.2%
24	0.17%	0.21%	0.13%	0.24%	0.3%	0.19%
23	0.17%	0.22%	0.13%	0.24%	0.29%	0.18%
22	0.17%	0.22%	0.12%	0.23%	0.28%	0.18%
21	0.17%	0.22%	0.12%	0.22%	0.26%	0.17%
20	0.17%	0.21%	0.12%	0.21%	0.25%	0.16%
19	0.16%	0.2%	0.12%	0.19%	0.23%	0.15%
18	0.15%	0.18%	0.11%	0.18%	0.21%	0.14%
17	0.13%	0.16%	0.1%	0.16%	0.19%	0.13%
16	0.11%	0.13%	0.09%	0.14%	0.16%	0.12%
15	0.1%	0.11%	0.08%	0.13%	0.14%	0.11%
14	0.08%	0.09%	0.07%	0.12%	0.13%	0.1%
13	0.07%	0.08%	0.06%	0.11%	0.12%	0.1%
12	0.06%	0.07%	0.06%	0.1%	0.11%	0.09%
11	0.06%	0.07%	0.06%	0.1%	0.11%	0.09%
10	0.06%	0.06%	0.05%	0.11%	0.12%	0.09%
9	0.06%	0.07%	0.06%	0.11%	0.12%	0.1%
8	0.07%	0.07%	0.06%	0.12%	0.13%	0.11%
7	0.08%	0.09%	0.07%	0.14%	0.15%	0.13%
6	0.09%	0.1%	0.09%	0.17%	0.18%	0.15%
5	0.12%	0.12%	0.11%	0.2%	0.21%	0.19%
4	0.14%	0.15%	0.14%	0.26%	0.28%	0.25%
3	0.18%	0.19%	0.18%	0.37%	0.4%	0.35%
2	0.24%	0.24%	0.23%	0.54%	0.58%	0.5%
1	0.31%	0.31%	0.31%	0.88%	0.94%	0.83%
0	3.33%	3.62%	3.03%	4.65%	5.15%	4.15%

This chart displays the probability of dying at any given age in Comoros compared to Guinea-Bissau, as mortality rates vary throughout a lifetime.

The annual chance of dying is 3.33% in the birth year in Comoros and 4.65% in Guinea-Bissau, 0.19% vs 0.3% at age 30, 1.8% vs 1.82% at 60, and 11.2% vs 10.3% at 80.

Death rate by age in Comoros vs Guinea-Bissau

Chart Table

Comoros

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Death rate
	Comoros			Guinea-Bissau
	Total	Male	Female	Total	Male	Female
100	0	0	0	10.5	0	24.3
99	62.7	34.9	96.2	98	57.6	136.6
98	96.7	55.5	146.3	141.4	85.4	194.6
97	144.4	85.4	215.2	201.5	124.9	273.7
96	209.1	127.4	307	279.6	177.9	375
95	293.5	184.3	423	377	246.6	499
94	400	259	567	493	331	643
93	532	354	740	631	435	810
92	689	472	940	791	558	1,001
91	873	614	1,168	959	695	1,195
90	1,082	782	1,420	1,173	865	1,447
89	1,313	974	1,692	1,366	1,035	1,657
88	1,560	1,186	1,973	1,587	1,228	1,900
87	1,814	1,411	2,255	1,803	1,424	2,129
86	2,065	1,641	2,523	2,022	1,627	2,357
85	2,304	1,867	2,768	2,219	1,819	2,554
84	2,519	2,081	2,981	2,407	2,014	2,732
83	2,707	2,279	3,156	2,545	2,169	2,850
82	2,867	2,460	3,292	2,671	2,318	2,955
81	2,998	2,623	3,389	2,719	2,409	2,966
80	3,101	2,766	3,447	2,842	2,546	3,078
79	3,175	2,888	3,468	2,853	2,605	3,052
78	3,219	2,983	3,452	2,888	2,674	3,064
77	3,229	3,050	3,401	2,852	2,688	2,994
76	3,205	3,085	3,317	2,832	2,707	2,950
75	3,150	3,090	3,204	2,789	2,702	2,883
74	3,068	3,065	3,066	2,710	2,666	2,774
73	2,964	3,017	2,909	2,618	2,614	2,655
72	2,845	2,949	2,740	2,527	2,557	2,542
71	2,716	2,866	2,563	2,375	2,444	2,361
70	2,582	2,773	2,387	2,313	2,399	2,287
69	2,446	2,670	2,216	2,152	2,277	2,096
68	2,314	2,562	2,055	2,051	2,193	1,979
67	2,185	2,450	1,905	1,934	2,096	1,843
66	2,060	2,335	1,767	1,830	2,002	1,725
65	1,939	2,217	1,640	1,748	1,928	1,631
64	1,820	2,097	1,521	1,645	1,832	1,517
63	1,704	1,976	1,409	1,551	1,740	1,414
62	1,591	1,856	1,304	1,463	1,651	1,319
61	1,483	1,736	1,205	1,354	1,541	1,204
60	1,379	1,620	1,112	1,297	1,477	1,147
59	1,281	1,507	1,027	1,195	1,374	1,041
58	1,190	1,400	951	1,127	1,299	974
57	1,106	1,299	882	1,055	1,223	903
56	1,027	1,204	821	1,002	1,164	854
55	955	1,116	767	949	1,106	803
54	887	1,034	718	903	1,054	760
53	824	956	672	854	1,000	715
52	765	884	629	812	952	680
51	709	816	588	755	890	627
50	656	753	549	724	853	602
49	606	694	511	673	794	555
48	560	639	476	635	748	523
47	518	587	443	596	702	489
46	479	541	413	565	663	465
45	443	498	385	540	633	445
44	411	459	359	510	597	422
43	382	424	336	486	566	403
42	355	393	315	467	543	389
41	331	365	295.6	438	509	364
40	310	340	277.8	423	492	353
39	289.9	318	261.2	399	463	332
38	271.8	298.1	245.5	381	442	318
37	255.2	280.1	230.7	360	420	300
36	239.9	263.9	216.8	345	401	287.1
35	226	249.4	203.8	329	383	273.7
34	213.6	236.6	191.9	313	364	260.9
33	202.7	225.4	181.3	299.4	348	249.4
32	193.3	216	172	287.1	334	238.9
31	185.4	208.2	163.8	272.8	318	226.6
30	178.9	202.2	156.6	265.8	309	221
29	173.7	197.9	149.9	254.6	297.3	210.8
28	169.5	195.4	143.7	247.1	288.9	204.1
27	166.3	194.4	137.7	239.2	281.1	196.1
26	164	195	132.1	232.7	275	189.2
25	162.7	196.8	127	226.7	269.7	182.4
24	162.1	199.4	122.8	220.9	264.6	175.9
23	162.1	202.2	119.7	214.4	258.3	169.1
22	162	204	117.4	207.1	250.3	162.5
21	161	203.6	115.7	198.1	239.1	155.7
20	157.5	198.8	113.6	187.7	225.3	148.9
19	150.4	188.3	110.2	175.7	208.8	141.4
18	139.2	171.8	104.6	162.7	190.8	133.7
17	124.3	150.5	96.7	147.6	170	124.3
16	107.8	127.6	87.1	133.3	150.2	115.7
15	91.8	106	77.1	118.9	131.9	105.5
14	78.2	88.2	67.9	108.2	118.9	97
13	67.9	75	60.5	100.2	109.3	90.8
12	61	66.5	55.4	95.9	104.1	87.3
11	57.5	62.1	52.7	94.7	102.7	86.4
10	57	61.4	52.4	97.5	106.1	88.5
9	59.5	64.3	54.7	103.7	113.1	93.9
8	65.4	70.7	59.9	114.4	124.3	104.1
7	75.1	81.2	68.8	130.9	141.4	119.9
6	89.6	96.6	82.4	154.2	165.3	142.6
5	110.2	117.9	102.3	187.5	199.5	175
4	138.8	146.7	130.7	247.5	262.6	231.7
3	177.9	185.1	170.4	349	371	327
2	230.3	235.4	225.1	511	542	480
1	300	301	299.3	843	888	797
0	3,328	3,618	3,032	4,655	5,152	4,147

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 Comoros, the most common age of death is 0, compared to 0 in Guinea-Bissau. The median age of death is 72.9 in Comoros and 71.8 in Guinea-Bissau, 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 Comoros and Guinea-Bissau more than their death rates.

Life expectancy in other countries

+ -

1x