Life Expectancy in Cameroon vs Guinea-Bissau (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 Cameroon vs Guinea-Bissau: 70.9 years vs 71.3 at 30, 78.1 vs 78.7 at 65, 85.7 vs 86.1 at 80 — significantly higher than the 64.2 vs 64.4 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Cameroon and Guinea-Bissau.

Table

Current age, years	Total life expectancy, years
	Cameroon			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
0	64.2	62	66.5	64.4	62	66.7
1	67.3	65.3	69.3	67.6	65.4	69.7
2	67.8	65.9	69.9	68.2	66	70.2
3	68.2	66.2	70.2	68.6	66.4	70.6
4	68.4	66.5	70.4	68.8	66.6	70.8
5	68.6	66.6	70.6	69	66.8	71
6	68.7	66.8	70.7	69.1	66.9	71.1
7	68.8	66.9	70.8	69.2	67	71.2
8	68.9	66.9	70.9	69.3	67.1	71.3
9	69	67	70.9	69.4	67.2	71.4
10	69	67.1	71	69.5	67.3	71.4
11	69.1	67.2	71.1	69.5	67.3	71.5
12	69.1	67.2	71.1	69.6	67.4	71.6
13	69.2	67.3	71.2	69.6	67.5	71.6
14	69.3	67.3	71.2	69.7	67.5	71.7
15	69.3	67.4	71.3	69.8	67.6	71.7
16	69.4	67.5	71.3	69.8	67.7	71.8
17	69.5	67.6	71.4	69.9	67.8	71.9
18	69.6	67.7	71.5	70	67.9	71.9
19	69.6	67.8	71.6	70.1	68	72
20	69.7	67.9	71.6	70.2	68.1	72.1
21	69.8	68	71.7	70.3	68.2	72.2
22	70	68.1	71.8	70.4	68.3	72.3
23	70.1	68.3	71.9	70.5	68.5	72.4
24	70.2	68.4	72	70.6	68.6	72.5
25	70.3	68.5	72.1	70.7	68.7	72.5
26	70.4	68.6	72.2	70.9	68.8	72.6
27	70.5	68.8	72.3	71	69	72.7
28	70.6	68.9	72.4	71.1	69.1	72.8
29	70.7	69	72.5	71.2	69.2	72.9
30	70.9	69.2	72.6	71.3	69.4	73
31	71	69.3	72.7	71.5	69.5	73.2
32	71.1	69.5	72.8	71.6	69.7	73.3
33	71.2	69.6	72.9	71.7	69.8	73.4
34	71.4	69.8	73	71.8	70	73.5
35	71.5	69.9	73.1	72	70.1	73.6
36	71.6	70.1	73.2	72.1	70.3	73.7
37	71.8	70.2	73.3	72.3	70.4	73.8
38	71.9	70.4	73.5	72.4	70.6	74
39	72.1	70.6	73.6	72.6	70.8	74.1
40	72.2	70.7	73.7	72.7	70.9	74.2
41	72.4	70.9	73.9	72.9	71.1	74.4
42	72.5	71.1	74	73	71.3	74.5
43	72.7	71.3	74.1	73.2	71.5	74.6
44	72.9	71.5	74.3	73.4	71.7	74.8
45	73.1	71.7	74.4	73.6	71.9	74.9
46	73.2	71.9	74.6	73.7	72.1	75.1
47	73.4	72.1	74.7	73.9	72.3	75.3
48	73.6	72.3	74.9	74.1	72.5	75.4
49	73.8	72.5	75.1	74.3	72.8	75.6
50	74	72.8	75.2	74.5	73	75.8
51	74.2	73	75.4	74.8	73.2	76
52	74.5	73.3	75.6	75	73.5	76.1
53	74.7	73.5	75.8	75.2	73.8	76.3
54	74.9	73.8	76	75.5	74	76.5
55	75.2	74.1	76.2	75.7	74.3	76.8
56	75.4	74.4	76.4	76	74.6	77
57	75.7	74.7	76.6	76.2	74.9	77.2
58	75.9	75	76.9	76.5	75.2	77.4
59	76.2	75.3	77.1	76.8	75.5	77.7
60	76.5	75.6	77.3	77.1	75.9	77.9
61	76.8	75.9	77.6	77.4	76.2	78.2
62	77.1	76.3	77.9	77.7	76.6	78.5
63	77.4	76.6	78.2	78	77	78.8
64	77.8	77	78.5	78.4	77.3	79.1
65	78.1	77.4	78.8	78.7	77.7	79.4
66	78.5	77.8	79.1	79.1	78.2	79.7
67	78.9	78.2	79.4	79.5	78.6	80.1
68	79.3	78.7	79.8	79.9	79	80.5
69	79.7	79.1	80.2	80.3	79.5	80.8
70	80.1	79.6	80.6	80.7	80	81.2
71	80.6	80.1	81	81.2	80.5	81.7
72	81.1	80.6	81.4	81.6	81	82.1
73	81.6	81.2	81.9	82.1	81.5	82.6
74	82.1	81.7	82.4	82.6	82	83.1
75	82.6	82.3	82.9	83.2	82.6	83.6
76	83.2	82.9	83.4	83.7	83.2	84.1
77	83.8	83.5	84	84.3	83.8	84.6
78	84.4	84.2	84.6	84.9	84.4	85.2
79	85	84.8	85.2	85.5	85.1	85.8
80	85.7	85.5	85.8	86.1	85.7	86.4
81	86.4	86.2	86.4	86.8	86.4	87
82	87	86.9	87.1	87.4	87.1	87.7
83	87.7	87.7	87.8	88.1	87.8	88.3
84	88.5	88.4	88.5	88.8	88.5	89
85	89.2	89.2	89.2	89.5	89.2	89.7
86	90	90	90	90.3	90	90.4
87	90.7	90.8	90.7	91	90.8	91.2
88	91.5	91.6	91.5	91.8	91.6	91.9
89	92.3	92.4	92.3	92.6	92.4	92.7
90	93.1	93.2	93.1	93.4	93.2	93.5
91	94	94	93.9	94.2	94	94.3
92	94.8	94.9	94.7	95	94.9	95.1
93	95.6	95.7	95.6	95.9	95.7	95.9
94	96.5	96.6	96.4	96.7	96.6	96.8
95	97.4	97.5	97.3	97.6	97.4	97.6
96	98.3	98.4	98.2	98.4	98.3	98.5
97	99.1	99.2	99.1	99.3	99.2	99.4
98	100.1	100.1	100	100.2	100.1	100.3
99	101	101	100.9	101.1	101	101.2
100	101.9	101.9	101.9	102	101.9	102.1

Odds of living to age in Cameroon vs Guinea-Bissau

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71.2% in Cameroon and 71% in Guinea-Bissau are expected to survive till at least 60 years old, 53.6% and 54% will live to 70 years or older, 25.3% and 27.3% to 80+ years, and 4.09% and 5.25% 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
	Cameroon			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
1	95.5%	95.1%	96%	95.3%	94.8%	95.8%
2	94.7%	94.2%	95.2%	94.4%	93.9%	95%
3	94.2%	93.7%	94.7%	93.9%	93.3%	94.5%
4	93.8%	93.3%	94.4%	93.5%	92.9%	94.1%
5	93.6%	93%	94.2%	93.3%	92.7%	93.9%
6	93.4%	92.8%	94%	93.1%	92.5%	93.7%
7	93.3%	92.7%	93.9%	92.9%	92.3%	93.6%
8	93.1%	92.5%	93.7%	92.8%	92.2%	93.4%
9	93%	92.4%	93.6%	92.7%	92%	93.3%
10	92.9%	92.3%	93.5%	92.6%	91.9%	93.2%
11	92.8%	92.2%	93.5%	92.5%	91.8%	93.2%
12	92.7%	92.1%	93.4%	92.4%	91.7%	93.1%
13	92.6%	92%	93.3%	92.3%	91.6%	93%
14	92.5%	91.9%	93.2%	92.2%	91.5%	92.9%
15	92.4%	91.8%	93.1%	92.1%	91.4%	92.8%
16	92.3%	91.7%	93%	92%	91.2%	92.7%
17	92.2%	91.5%	92.9%	91.8%	91.1%	92.6%
18	92%	91.3%	92.8%	91.7%	90.9%	92.4%
19	91.9%	91.1%	92.6%	91.5%	90.7%	92.3%
20	91.7%	90.9%	92.5%	91.3%	90.5%	92.2%
21	91.5%	90.7%	92.3%	91.1%	90.3%	92%
22	91.3%	90.5%	92.2%	90.9%	90%	91.8%
23	91.1%	90.2%	92%	90.7%	89.8%	91.7%
24	90.9%	89.9%	91.8%	90.5%	89.5%	91.5%
25	90.7%	89.7%	91.7%	90.3%	89.3%	91.3%
26	90.4%	89.4%	91.5%	90.1%	89%	91.1%
27	90.2%	89.1%	91.3%	89.8%	88.7%	91%
28	89.9%	88.8%	91.1%	89.6%	88.4%	90.8%
29	89.7%	88.5%	90.9%	89.3%	88.1%	90.5%
30	89.4%	88.2%	90.7%	89.1%	87.8%	90.3%
31	89.2%	87.9%	90.5%	88.8%	87.5%	90.1%
32	88.9%	87.6%	90.2%	88.5%	87.2%	89.9%
33	88.6%	87.2%	90%	88.2%	86.9%	89.6%
34	88.3%	86.9%	89.7%	87.9%	86.5%	89.4%
35	88%	86.5%	89.5%	87.6%	86.1%	89.1%
36	87.6%	86.1%	89.2%	87.3%	85.8%	88.8%
37	87.3%	85.7%	88.9%	86.9%	85.4%	88.5%
38	86.9%	85.3%	88.6%	86.6%	84.9%	88.2%
39	86.5%	84.8%	88.3%	86.2%	84.5%	87.9%
40	86.1%	84.4%	87.9%	85.8%	84%	87.6%
41	85.7%	83.9%	87.6%	85.4%	83.5%	87.2%
42	85.3%	83.4%	87.2%	84.9%	83%	86.9%
43	84.8%	82.8%	86.8%	84.4%	82.5%	86.5%
44	84.3%	82.2%	86.4%	84%	81.9%	86.1%
45	83.8%	81.6%	86%	83.4%	81.3%	85.6%
46	83.2%	81%	85.5%	82.9%	80.7%	85.2%
47	82.7%	80.3%	85.1%	82.3%	80%	84.7%
48	82.1%	79.6%	84.6%	81.7%	79.3%	84.2%
49	81.4%	78.9%	84%	81.1%	78.5%	83.7%
50	80.7%	78.1%	83.5%	80.4%	77.7%	83.1%
51	80%	77.2%	82.9%	79.7%	76.9%	82.5%
52	79.2%	76.3%	82.2%	78.9%	76%	81.9%
53	78.4%	75.4%	81.5%	78.1%	75%	81.2%
54	77.5%	74.4%	80.8%	77.3%	74%	80.5%
55	76.6%	73.3%	80%	76.3%	73%	79.7%
56	75.7%	72.2%	79.2%	75.4%	71.8%	78.9%
57	74.6%	71%	78.4%	74.4%	70.7%	78.1%
58	73.6%	69.8%	77.5%	73.3%	69.5%	77.2%
59	72.4%	68.5%	76.5%	72.2%	68.2%	76.2%
60	71.2%	67.1%	75.4%	71%	66.8%	75.2%
61	69.9%	65.6%	74.3%	69.7%	65.3%	74%
62	68.5%	64.1%	73.1%	68.4%	63.8%	72.8%
63	67%	62.4%	71.7%	66.9%	62.1%	71.5%
64	65.4%	60.7%	70.3%	65.3%	60.4%	70.1%
65	63.7%	58.9%	68.8%	63.7%	58.5%	68.5%
66	62%	56.9%	67.1%	62%	56.6%	66.9%
67	60.1%	54.9%	65.4%	60.1%	54.6%	65.2%
68	58%	52.8%	63.5%	58.2%	52.5%	63.3%
69	55.9%	50.5%	61.4%	56.1%	50.3%	61.4%
70	53.6%	48.1%	59.2%	54%	48%	59.3%
71	51.1%	45.6%	56.8%	51.7%	45.6%	57%
72	48.6%	43%	54.3%	49.3%	43.2%	54.6%
73	45.8%	40.3%	51.6%	46.8%	40.7%	52.1%
74	43%	37.6%	48.7%	44.2%	38%	49.4%
75	40.2%	34.8%	45.8%	41.5%	35.4%	46.7%
76	37.2%	31.9%	42.7%	38.7%	32.7%	43.8%
77	34.2%	29.1%	39.5%	35.8%	30%	40.9%
78	31.2%	26.3%	36.3%	33%	27.3%	37.9%
79	28.2%	23.6%	33%	30.1%	24.7%	34.8%
80	25.3%	20.9%	29.7%	27.3%	22.1%	31.8%
81	22.3%	18.4%	26.5%	24.4%	19.5%	28.7%
82	19.6%	16%	23.3%	21.7%	17.1%	25.8%
83	17%	13.7%	20.3%	19.1%	14.8%	22.8%
84	14.5%	11.6%	17.4%	16.6%	12.7%	20%
85	12.2%	9.72%	14.8%	14.2%	10.7%	17.3%
86	10.1%	8.02%	12.3%	12%	8.89%	14.7%
87	8.28%	6.53%	10.1%	9.97%	7.28%	12.4%
88	6.66%	5.24%	8.13%	8.18%	5.87%	10.3%
89	5.27%	4.14%	6.43%	6.61%	4.65%	8.4%
90	4.09%	3.22%	4.99%	5.25%	3.63%	6.76%
91	3.11%	2.45%	3.78%	4.09%	2.77%	5.32%
92	2.32%	1.85%	2.81%	3.15%	2.08%	4.14%
93	1.69%	1.36%	2.04%	2.36%	1.53%	3.15%
94	1.21%	0.98%	1.44%	1.74%	1.1%	2.34%
95	0.84%	0.69%	0.99%	1.25%	0.78%	1.71%
96	0.57%	0.48%	0.66%	0.88%	0.53%	1.21%
97	0.38%	0.32%	0.43%	0.61%	0.36%	0.84%
98	0.24%	0.21%	0.27%	0.41%	0.24%	0.57%
99	0.15%	0.14%	0.17%	0.27%	0.15%	0.38%
100	0.09%	0.09%	0.1%	0.17%	0.09%	0.25%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.48% in the birth year in Cameroon and 4.74% in Guinea-Bissau, 0.3% vs 0.3% at age 30, 1.86% vs 1.83% at 60, and 11.5% vs 10.4% at 80.

Below is a graph displaying the probabilities of dying in Cameroon compared to Guinea-Bissau at any given age.

Table

Age	Probability of dying
	Cameroon			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
0	4.48%	4.95%	4.02%	4.74%	5.23%	4.23%
1	0.87%	0.91%	0.82%	0.9%	0.95%	0.85%
2	0.53%	0.56%	0.5%	0.55%	0.58%	0.52%
3	0.36%	0.39%	0.34%	0.38%	0.4%	0.35%
4	0.26%	0.27%	0.24%	0.27%	0.29%	0.25%
5	0.2%	0.21%	0.18%	0.2%	0.22%	0.19%
6	0.16%	0.17%	0.15%	0.17%	0.18%	0.15%
7	0.14%	0.15%	0.13%	0.14%	0.15%	0.13%
8	0.12%	0.13%	0.11%	0.13%	0.14%	0.11%
9	0.11%	0.12%	0.1%	0.11%	0.12%	0.1%
10	0.1%	0.11%	0.09%	0.11%	0.12%	0.1%
11	0.1%	0.11%	0.09%	0.1%	0.11%	0.09%
12	0.1%	0.11%	0.09%	0.11%	0.11%	0.1%
13	0.11%	0.12%	0.1%	0.11%	0.12%	0.1%
14	0.12%	0.13%	0.1%	0.12%	0.13%	0.11%
15	0.13%	0.14%	0.11%	0.13%	0.15%	0.12%
16	0.14%	0.16%	0.12%	0.15%	0.17%	0.13%
17	0.16%	0.19%	0.13%	0.16%	0.19%	0.14%
18	0.18%	0.21%	0.14%	0.18%	0.21%	0.15%
19	0.19%	0.23%	0.15%	0.19%	0.23%	0.16%
20	0.21%	0.25%	0.16%	0.21%	0.25%	0.16%
21	0.22%	0.27%	0.17%	0.22%	0.27%	0.17%
22	0.23%	0.28%	0.18%	0.23%	0.28%	0.18%
23	0.24%	0.29%	0.18%	0.24%	0.29%	0.19%
24	0.25%	0.3%	0.19%	0.25%	0.3%	0.2%
25	0.25%	0.31%	0.2%	0.25%	0.31%	0.2%
26	0.26%	0.32%	0.21%	0.26%	0.31%	0.21%
27	0.27%	0.32%	0.22%	0.27%	0.32%	0.22%
28	0.28%	0.33%	0.23%	0.28%	0.33%	0.23%
29	0.29%	0.34%	0.23%	0.29%	0.34%	0.24%
30	0.3%	0.36%	0.25%	0.3%	0.36%	0.25%
31	0.31%	0.37%	0.25%	0.31%	0.37%	0.26%
32	0.33%	0.39%	0.27%	0.33%	0.39%	0.27%
33	0.34%	0.41%	0.28%	0.34%	0.41%	0.28%
34	0.36%	0.43%	0.29%	0.36%	0.42%	0.3%
35	0.38%	0.45%	0.31%	0.38%	0.45%	0.31%
36	0.4%	0.47%	0.33%	0.4%	0.47%	0.33%
37	0.42%	0.5%	0.34%	0.42%	0.5%	0.34%
38	0.44%	0.53%	0.36%	0.44%	0.53%	0.36%
39	0.47%	0.55%	0.38%	0.47%	0.55%	0.38%
40	0.5%	0.59%	0.41%	0.5%	0.59%	0.41%
41	0.52%	0.61%	0.42%	0.52%	0.61%	0.42%
42	0.55%	0.66%	0.45%	0.55%	0.66%	0.45%
43	0.58%	0.69%	0.47%	0.58%	0.69%	0.47%
44	0.61%	0.73%	0.49%	0.61%	0.73%	0.49%
45	0.65%	0.78%	0.52%	0.65%	0.78%	0.52%
46	0.69%	0.83%	0.55%	0.69%	0.83%	0.55%
47	0.73%	0.88%	0.58%	0.73%	0.88%	0.58%
48	0.79%	0.95%	0.63%	0.78%	0.95%	0.63%
49	0.84%	1.01%	0.67%	0.83%	1.02%	0.67%
50	0.91%	1.1%	0.73%	0.91%	1.1%	0.73%
51	0.96%	1.16%	0.77%	0.95%	1.16%	0.76%
52	1.04%	1.25%	0.84%	1.03%	1.26%	0.83%
53	1.11%	1.33%	0.89%	1.1%	1.34%	0.88%
54	1.18%	1.42%	0.95%	1.17%	1.43%	0.95%
55	1.26%	1.51%	1.01%	1.25%	1.52%	1.01%
56	1.35%	1.62%	1.09%	1.33%	1.63%	1.09%
57	1.44%	1.73%	1.16%	1.42%	1.73%	1.16%
58	1.56%	1.87%	1.27%	1.54%	1.88%	1.27%
59	1.68%	2.01%	1.37%	1.66%	2.02%	1.37%
60	1.86%	2.2%	1.53%	1.83%	2.22%	1.53%
61	1.98%	2.35%	1.63%	1.94%	2.36%	1.63%
62	2.18%	2.58%	1.82%	2.14%	2.59%	1.81%
63	2.37%	2.79%	1.98%	2.32%	2.8%	1.98%
64	2.57%	3.02%	2.17%	2.52%	3.04%	2.17%
65	2.8%	3.27%	2.39%	2.74%	3.29%	2.38%
66	3.06%	3.56%	2.62%	2.95%	3.54%	2.58%
67	3.38%	3.91%	2.91%	3.21%	3.84%	2.83%
68	3.74%	4.3%	3.25%	3.52%	4.17%	3.12%
69	4.11%	4.71%	3.59%	3.83%	4.52%	3.41%
70	4.6%	5.23%	4.07%	4.28%	4.99%	3.85%
71	4.99%	5.66%	4.43%	4.59%	5.34%	4.14%
72	5.57%	6.27%	4.99%	5.12%	5.9%	4.65%
73	6.11%	6.84%	5.51%	5.59%	6.41%	5.09%
74	6.71%	7.47%	6.11%	6.13%	6.99%	5.6%
75	7.37%	8.15%	6.76%	6.72%	7.61%	6.16%
76	8.05%	8.83%	7.43%	7.31%	8.25%	6.72%
77	8.77%	9.57%	8.16%	7.94%	8.92%	7.3%
78	9.62%	10.4%	9.03%	8.73%	9.74%	8.06%
79	10.5%	11.2%	9.89%	9.44%	10.5%	8.73%
80	11.5%	12.3%	10.9%	10.4%	11.5%	9.64%
81	12.3%	13.1%	11.8%	11.1%	12.3%	10.3%
82	13.5%	14.2%	13%	12.2%	13.4%	11.4%
83	14.6%	15.2%	14.1%	13.2%	14.5%	12.4%
84	15.8%	16.3%	15.4%	14.4%	15.7%	13.6%
85	17%	17.4%	16.6%	15.5%	16.9%	14.7%
86	18.3%	18.6%	18%	16.7%	18.1%	15.9%
87	19.6%	19.8%	19.4%	17.9%	19.4%	17%
88	21%	21%	20.9%	19.2%	20.7%	18.3%
89	22.4%	22.2%	22.4%	20.5%	22%	19.6%
90	24%	23.7%	24.2%	22.1%	23.6%	21.2%
91	25.4%	24.8%	25.7%	23.2%	24.8%	22.3%
92	27.1%	26.4%	27.5%	24.8%	26.5%	24%
93	28.7%	27.8%	29.3%	26.4%	28%	25.5%
94	30.4%	29.3%	31.1%	28%	29.6%	27.1%
95	32.2%	30.9%	33%	29.7%	31.3%	28.9%
96	33.8%	32.3%	34.9%	31.3%	32.8%	30.5%
97	35.4%	33.7%	36.7%	32.8%	34.3%	32.1%
98	37%	34.9%	38.5%	34.3%	35.7%	33.5%
99	38.8%	36.7%	40.5%	36.1%	37.5%	35.4%
100	40.4%	37.9%	42.3%	37.6%	38.9%	36.9%

Death rate by age in Cameroon compared to Guinea-Bissau

In Cameroon, the most common age of death is 0, compared to 0 in Guinea-Bissau. The median age of death is 71.4 in Cameroon and 71.7 in Guinea-Bissau — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Cameroon			Guinea-Bissau
	Total	Male	Female	Total	Male	Female
0	4,483	4,946	4,015	4,736	5,229	4,234
1	827	866	788	859	901	814
2	501	528	474	520	549	489
3	342	362	322	355	376	333
4	242.5	255.8	228.7	250.9	265.4	235.9
5	183.6	194.3	172.7	190	201.4	178.1
6	151.1	161.2	140.7	156.3	167	145.2
7	128.4	138.1	118.5	132.7	142.9	122
8	112.3	121.5	102.9	116	125.7	106
9	101.8	110.6	92.8	105.2	114.4	95.6
10	95.8	103.9	87.4	99	107.5	90.1
11	93.1	100.7	85.3	96.1	104	88
12	94.3	102.1	86.3	97.3	105.4	88.9
13	98.8	107.5	89.8	101.8	110.7	92.5
14	107	117.6	96.1	109.8	120.5	98.8
15	118	131.2	104.6	120.7	133.5	107.4
16	132.7	150.2	114.9	135.3	152.1	117.9
17	147.4	170.7	123.6	149.7	172.1	126.6
18	163	192.5	133	165	193.1	136.1
19	176.7	211.8	141	178.2	211.3	144
20	189.6	229.7	148.7	190.3	227.9	151.5
21	200.6	244.8	155.6	200.8	241.9	158.4
22	210	256.5	162.7	209.9	253.2	165.3
23	217.5	264.6	169.5	217.3	261.3	172
24	224.3	271.1	176.5	223.9	267.7	178.9
25	230.2	276.3	183.3	229.8	272.8	185.5
26	236.5	281.8	190.4	235.8	278.2	192.3
27	243.2	288.1	197.6	242.4	284.3	199.3
28	251.2	295.8	205.8	250.3	292.1	207.3
29	258.8	304	212.7	257.8	301	214
30	270.1	316	223.2	269.2	313	224.4
31	277	324	229	276.2	321	230
32	291.4	340	241.5	290.6	338	242.4
33	304	354	252.3	303	352	252.9
34	318	370	264.1	317	367	264.6
35	334	389	277.4	333	387	277.5
36	350	407	291	348	405	291
37	366	426	304	364	424	304
38	386	449	322	385	447	322
39	404	469	337	403	467	336
40	429	498	358	428	496	357
41	443	515	369	442	514	368
42	472	548	394	471	547	392
43	492	572	409	490	571	407
44	516	602	428	514	601	425
45	546	639	451	544	638	448
46	572	669	471	568	668	469
47	604	708	497	599	707	493
48	644	754	531	638	753	527
49	683	799	563	676	799	559
50	736	857	610	728	857	606
51	767	894	635	759	894	631
52	825	956	688	816	956	683
53	867	1,004	724	857	1,004	719
54	916	1,057	769	906	1,058	764
55	964	1,109	812	952	1,109	806
56	1,019	1,167	863	1,005	1,168	857
57	1,073	1,226	912	1,057	1,226	906
58	1,146	1,302	983	1,128	1,302	977
59	1,217	1,376	1,050	1,196	1,377	1,044
60	1,321	1,479	1,157	1,297	1,480	1,150
61	1,381	1,542	1,214	1,353	1,543	1,206
62	1,493	1,651	1,329	1,461	1,652	1,321
63	1,585	1,740	1,423	1,550	1,741	1,415
64	1,682	1,831	1,527	1,644	1,832	1,518
65	1,786	1,926	1,640	1,746	1,928	1,632
66	1,897	2,029	1,759	1,828	2,001	1,725
67	2,029	2,150	1,902	1,933	2,094	1,843
68	2,169	2,272	2,061	2,050	2,191	1,978
69	2,293	2,379	2,205	2,151	2,274	2,094
70	2,465	2,518	2,409	2,312	2,395	2,285
71	2,551	2,581	2,519	2,374	2,439	2,358
72	2,704	2,699	2,709	2,526	2,551	2,538
73	2,800	2,760	2,842	2,616	2,607	2,649
74	2,890	2,806	2,976	2,707	2,658	2,768
75	2,959	2,832	3,091	2,786	2,692	2,875
76	2,993	2,820	3,172	2,828	2,696	2,941
77	3,000	2,784	3,223	2,846	2,676	2,984
78	3,004	2,744	3,273	2,880	2,661	3,053
79	2,951	2,650	3,264	2,843	2,591	3,039
80	2,905	2,569	3,254	2,829	2,532	3,064
81	2,759	2,400	3,132	2,705	2,394	2,950
82	2,637	2,261	3,027	2,655	2,302	2,939
83	2,467	2,081	2,866	2,528	2,153	2,834
84	2,282	1,898	2,681	2,390	1,998	2,716
85	2,069	1,694	2,457	2,201	1,804	2,538
86	1,849	1,492	2,219	2,005	1,612	2,341
87	1,621	1,291	1,961	1,786	1,410	2,113
88	1,396	1,101	1,700	1,572	1,216	1,886
89	1,178	920	1,443	1,352	1,024	1,643
90	981	763	1,205	1,160	855	1,434
91	788	610	972	948	687	1,184
92	628	487	773	781	551	991
93	486	378	597	623	429	802
94	367	287.6	449	487	327	636
95	270.1	214	328	373	243.2	494
96	192.7	154.7	231.9	275.8	175.3	371
97	133.6	109.1	158.9	198.6	123	270.6
98	90	75.1	105.4	139.3	84.1	192.3
99	59.5	51.3	68.2	96.5	56.7	135
100	0	0	0	10	0	23.8

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 Cameroon and Guinea-Bissau 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
• Cameroon vs Guinea-Bissau: Numbers and Trends

By topic vs comparisons:

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