Life Expectancy in Guinea-Bissau vs Somalia (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 Guinea-Bissau vs Somalia: 71.3 years vs 70.2 at 30, 78.7 vs 78.5 at 65, 86.1 vs 85.9 at 80 — significantly higher than the 64.4 vs 59.1 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Somalia
	Average	Male	Female	Average	Male	Female
0	64.4	62	66.7	59.1	56.6	61.7
1	67.6	65.4	69.7	63.2	60.9	65.6
2	68.2	66	70.2	64.1	61.7	66.5
3	68.6	66.4	70.6	64.7	62.4	67.2
4	68.8	66.6	70.8	65.2	62.9	67.7
5	69	66.8	71	65.6	63.3	68
6	69.1	66.9	71.1	65.9	63.6	68.3
7	69.2	67	71.2	66.2	63.9	68.6
8	69.3	67.1	71.3	66.4	64	68.8
9	69.4	67.2	71.4	66.5	64.2	68.9
10	69.5	67.3	71.4	66.7	64.3	69.1
11	69.5	67.3	71.5	66.8	64.5	69.2
12	69.6	67.4	71.6	66.9	64.6	69.3
13	69.6	67.5	71.6	67	64.7	69.4
14	69.7	67.5	71.7	67.1	64.8	69.5
15	69.8	67.6	71.7	67.2	64.9	69.6
16	69.8	67.7	71.8	67.4	65.1	69.7
17	69.9	67.8	71.9	67.5	65.2	69.9
18	70	67.9	71.9	67.7	65.4	70
19	70.1	68	72	67.8	65.6	70.1
20	70.2	68.1	72.1	68	65.8	70.3
21	70.3	68.2	72.2	68.2	66.1	70.4
22	70.4	68.3	72.3	68.4	66.4	70.6
23	70.5	68.5	72.4	68.7	66.6	70.7
24	70.6	68.6	72.5	68.9	66.9	70.8
25	70.7	68.7	72.5	69.1	67.2	71
26	70.9	68.8	72.6	69.3	67.5	71.2
27	71	69	72.7	69.5	67.7	71.3
28	71.1	69.1	72.8	69.7	68	71.5
29	71.2	69.2	72.9	69.9	68.3	71.6
30	71.3	69.4	73	70.2	68.5	71.8
31	71.5	69.5	73.2	70.4	68.8	71.9
32	71.6	69.7	73.3	70.6	69	72.1
33	71.7	69.8	73.4	70.8	69.2	72.3
34	71.8	70	73.5	71	69.5	72.4
35	72	70.1	73.6	71.2	69.7	72.6
36	72.1	70.3	73.7	71.4	69.9	72.7
37	72.3	70.4	73.8	71.6	70.2	72.9
38	72.4	70.6	74	71.8	70.4	73.1
39	72.6	70.8	74.1	72	70.6	73.2
40	72.7	70.9	74.2	72.2	70.9	73.4
41	72.9	71.1	74.4	72.4	71.1	73.6
42	73	71.3	74.5	72.6	71.3	73.8
43	73.2	71.5	74.6	72.8	71.6	74
44	73.4	71.7	74.8	73	71.8	74.2
45	73.6	71.9	74.9	73.2	72	74.3
46	73.7	72.1	75.1	73.4	72.3	74.5
47	73.9	72.3	75.3	73.6	72.5	74.7
48	74.1	72.5	75.4	73.8	72.7	74.9
49	74.3	72.8	75.6	74.1	73	75.1
50	74.5	73	75.8	74.3	73.2	75.3
51	74.8	73.2	76	74.5	73.5	75.5
52	75	73.5	76.1	74.8	73.8	75.7
53	75.2	73.8	76.3	75	74	75.9
54	75.5	74	76.5	75.3	74.3	76.1
55	75.7	74.3	76.8	75.5	74.6	76.3
56	76	74.6	77	75.8	74.9	76.6
57	76.2	74.9	77.2	76	75.2	76.8
58	76.5	75.2	77.4	76.3	75.5	77
59	76.8	75.5	77.7	76.6	75.8	77.3
60	77.1	75.9	77.9	76.9	76.1	77.5
61	77.4	76.2	78.2	77.2	76.5	77.8
62	77.7	76.6	78.5	77.5	76.8	78.1
63	78	77	78.8	77.8	77.2	78.4
64	78.4	77.3	79.1	78.2	77.5	78.7
65	78.7	77.7	79.4	78.5	77.9	79
66	79.1	78.2	79.7	78.9	78.3	79.4
67	79.5	78.6	80.1	79.3	78.7	79.7
68	79.9	79	80.5	79.7	79.1	80.1
69	80.3	79.5	80.8	80.1	79.6	80.5
70	80.7	80	81.2	80.5	80	80.9
71	81.2	80.5	81.7	81	80.5	81.3
72	81.6	81	82.1	81.4	81	81.8
73	82.1	81.5	82.6	81.9	81.5	82.2
74	82.6	82	83.1	82.4	82	82.7
75	83.2	82.6	83.6	83	82.6	83.2
76	83.7	83.2	84.1	83.5	83.1	83.8
77	84.3	83.8	84.6	84.1	83.7	84.3
78	84.9	84.4	85.2	84.6	84.3	84.9
79	85.5	85.1	85.8	85.2	84.9	85.5
80	86.1	85.7	86.4	85.9	85.6	86.1
81	86.8	86.4	87	86.5	86.2	86.7
82	87.4	87.1	87.7	87.2	86.9	87.4
83	88.1	87.8	88.3	87.8	87.6	88
84	88.8	88.5	89	88.5	88.3	88.7
85	89.5	89.2	89.7	89.3	89	89.4
86	90.3	90	90.4	90	89.7	90.2
87	91	90.8	91.2	90.8	90.5	90.9
88	91.8	91.6	91.9	91.5	91.3	91.7
89	92.6	92.4	92.7	92.3	92.1	92.5
90	93.4	93.2	93.5	93.1	92.9	93.3
91	94.2	94	94.3	93.9	93.7	94.1
92	95	94.9	95.1	94.8	94.6	94.9
93	95.9	95.7	95.9	95.6	95.4	95.7
94	96.7	96.6	96.8	96.5	96.3	96.6
95	97.6	97.4	97.6	97.4	97.2	97.4
96	98.4	98.3	98.5	98.2	98.1	98.3
97	99.3	99.2	99.4	99.1	99	99.2
98	100.2	100.1	100.3	100	99.9	100.1
99	101.1	101	101.2	100.9	100.8	101
100	102	101.9	102.1	101.8	101.7	101.9

Odds of living to age in Guinea-Bissau vs Somalia

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71% in Guinea-Bissau and 63.2% in Somalia are expected to survive till at least 60 years old, 54% and 47.9% will live to 70 years or older, 27.3% and 23.9% to 80+ years, and 5.25% and 4.11% 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
	Guinea-Bissau			Somalia
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.8%	93.5%	93%	94%
2	94.4%	93.9%	95%	92.2%	91.7%	92.7%
3	93.9%	93.3%	94.5%	91.2%	90.7%	91.8%
4	93.5%	92.9%	94.1%	90.5%	89.9%	91.1%
5	93.3%	92.7%	93.9%	89.9%	89.3%	90.5%
6	93.1%	92.5%	93.7%	89.4%	88.8%	90.1%
7	92.9%	92.3%	93.6%	89.1%	88.4%	89.7%
8	92.8%	92.2%	93.4%	88.8%	88.1%	89.5%
9	92.7%	92%	93.3%	88.5%	87.9%	89.2%
10	92.6%	91.9%	93.2%	88.3%	87.6%	89%
11	92.5%	91.8%	93.2%	88.1%	87.4%	88.9%
12	92.4%	91.7%	93.1%	88%	87.3%	88.7%
13	92.3%	91.6%	93%	87.8%	87.1%	88.5%
14	92.2%	91.5%	92.9%	87.6%	86.9%	88.3%
15	92.1%	91.4%	92.8%	87.4%	86.7%	88.2%
16	92%	91.2%	92.7%	87.2%	86.4%	88%
17	91.8%	91.1%	92.6%	87%	86.2%	87.8%
18	91.7%	90.9%	92.4%	86.7%	85.9%	87.5%
19	91.5%	90.7%	92.3%	86.4%	85.5%	87.3%
20	91.3%	90.5%	92.2%	86.1%	85.1%	87.1%
21	91.1%	90.3%	92%	85.7%	84.6%	86.8%
22	90.9%	90%	91.8%	85.3%	84.1%	86.6%
23	90.7%	89.8%	91.7%	84.9%	83.5%	86.3%
24	90.5%	89.5%	91.5%	84.5%	83%	86%
25	90.3%	89.3%	91.3%	84.1%	82.4%	85.8%
26	90.1%	89%	91.1%	83.6%	81.9%	85.5%
27	89.8%	88.7%	91%	83.2%	81.4%	85.2%
28	89.6%	88.4%	90.8%	82.8%	80.8%	84.9%
29	89.3%	88.1%	90.5%	82.4%	80.3%	84.6%
30	89.1%	87.8%	90.3%	82%	79.8%	84.2%
31	88.8%	87.5%	90.1%	81.5%	79.3%	83.9%
32	88.5%	87.2%	89.9%	81.1%	78.8%	83.6%
33	88.2%	86.9%	89.6%	80.7%	78.2%	83.2%
34	87.9%	86.5%	89.4%	80.3%	77.7%	82.9%
35	87.6%	86.1%	89.1%	79.8%	77.2%	82.5%
36	87.3%	85.8%	88.8%	79.4%	76.7%	82.2%
37	86.9%	85.4%	88.5%	78.9%	76.2%	81.8%
38	86.6%	84.9%	88.2%	78.5%	75.6%	81.4%
39	86.2%	84.5%	87.9%	78%	75.1%	81%
40	85.8%	84%	87.6%	77.5%	74.6%	80.6%
41	85.4%	83.5%	87.2%	77%	74%	80.2%
42	84.9%	83%	86.9%	76.5%	73.4%	79.7%
43	84.4%	82.5%	86.5%	76%	72.8%	79.3%
44	84%	81.9%	86.1%	75.4%	72.2%	78.8%
45	83.4%	81.3%	85.6%	74.9%	71.6%	78.3%
46	82.9%	80.7%	85.2%	74.3%	71%	77.8%
47	82.3%	80%	84.7%	73.7%	70.3%	77.3%
48	81.7%	79.3%	84.2%	73.2%	69.7%	76.8%
49	81.1%	78.5%	83.7%	72.5%	69%	76.3%
50	80.4%	77.7%	83.1%	71.9%	68.2%	75.7%
51	79.7%	76.9%	82.5%	71.2%	67.5%	75.1%
52	78.9%	76%	81.9%	70.4%	66.6%	74.4%
53	78.1%	75%	81.2%	69.7%	65.8%	73.8%
54	77.3%	74%	80.5%	68.9%	64.9%	73%
55	76.3%	73%	79.7%	68%	64%	72.3%
56	75.4%	71.8%	78.9%	67.1%	63%	71.5%
57	74.4%	70.7%	78.1%	66.2%	62%	70.7%
58	73.3%	69.5%	77.2%	65.3%	61%	69.8%
59	72.2%	68.2%	76.2%	64.3%	59.9%	68.9%
60	71%	66.8%	75.2%	63.2%	58.7%	67.9%
61	69.7%	65.3%	74%	62.1%	57.5%	66.9%
62	68.4%	63.8%	72.8%	60.9%	56.2%	65.7%
63	66.9%	62.1%	71.5%	59.6%	54.9%	64.5%
64	65.3%	60.4%	70.1%	58.2%	53.4%	63.2%
65	63.7%	58.5%	68.5%	56.7%	51.9%	61.7%
66	62%	56.6%	66.9%	55.1%	50.3%	60.2%
67	60.1%	54.6%	65.2%	53.5%	48.6%	58.6%
68	58.2%	52.5%	63.3%	51.7%	46.8%	56.9%
69	56.1%	50.3%	61.4%	49.9%	44.9%	55%
70	54%	48%	59.3%	47.9%	43%	53%
71	51.7%	45.6%	57%	45.8%	41%	50.9%
72	49.3%	43.2%	54.6%	43.7%	38.9%	48.7%
73	46.8%	40.7%	52.1%	41.4%	36.7%	46.3%
74	44.2%	38%	49.4%	39%	34.4%	43.9%
75	41.5%	35.4%	46.7%	36.6%	32.1%	41.3%
76	38.7%	32.7%	43.8%	34.1%	29.7%	38.7%
77	35.8%	30%	40.9%	31.6%	27.4%	36%
78	33%	27.3%	37.9%	29%	25%	33.3%
79	30.1%	24.7%	34.8%	26.5%	22.6%	30.5%
80	27.3%	22.1%	31.8%	23.9%	20.3%	27.6%
81	24.4%	19.5%	28.7%	21.3%	18%	24.8%
82	21.7%	17.1%	25.8%	18.8%	15.7%	22.1%
83	19.1%	14.8%	22.8%	16.4%	13.6%	19.4%
84	16.6%	12.7%	20%	14.1%	11.6%	16.8%
85	14.2%	10.7%	17.3%	12%	9.7%	14.4%
86	12%	8.89%	14.7%	10%	8%	12.1%
87	9.97%	7.28%	12.4%	8.24%	6.47%	10.1%
88	8.18%	5.87%	10.3%	6.66%	5.13%	8.22%
89	6.61%	4.65%	8.4%	5.28%	3.98%	6.61%
90	5.25%	3.63%	6.76%	4.11%	3.03%	5.21%
91	4.09%	2.77%	5.32%	3.13%	2.25%	4.03%
92	3.15%	2.08%	4.14%	2.33%	1.63%	3.05%
93	2.36%	1.53%	3.15%	1.7%	1.15%	2.26%
94	1.74%	1.1%	2.34%	1.21%	0.79%	1.63%
95	1.25%	0.78%	1.71%	0.84%	0.53%	1.16%
96	0.88%	0.53%	1.21%	0.57%	0.35%	0.8%
97	0.61%	0.36%	0.84%	0.38%	0.22%	0.54%
98	0.41%	0.24%	0.57%	0.24%	0.13%	0.35%
99	0.27%	0.15%	0.38%	0.15%	0.08%	0.23%
100	0.17%	0.09%	0.25%	0.09%	0.05%	0.14%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.74% in the birth year in Guinea-Bissau and 6.5% in Somalia, 0.3% vs 0.52% at age 30, 1.83% vs 1.79% at 60, and 10.4% vs 10.7% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Somalia
	Average	Male	Female	Average	Male	Female
0	4.74%	5.23%	4.23%	6.5%	7.02%	5.97%
1	0.9%	0.95%	0.85%	1.39%	1.41%	1.37%
2	0.55%	0.58%	0.52%	1.07%	1.1%	1.04%
3	0.38%	0.4%	0.35%	0.82%	0.86%	0.79%
4	0.27%	0.29%	0.25%	0.64%	0.68%	0.6%
5	0.2%	0.22%	0.19%	0.5%	0.54%	0.47%
6	0.17%	0.18%	0.15%	0.4%	0.43%	0.38%
7	0.14%	0.15%	0.13%	0.33%	0.35%	0.31%
8	0.13%	0.14%	0.11%	0.28%	0.29%	0.26%
9	0.11%	0.12%	0.1%	0.24%	0.25%	0.23%
10	0.11%	0.12%	0.1%	0.22%	0.22%	0.21%
11	0.1%	0.11%	0.09%	0.2%	0.21%	0.2%
12	0.11%	0.11%	0.1%	0.2%	0.2%	0.19%
13	0.11%	0.12%	0.1%	0.2%	0.21%	0.19%
14	0.12%	0.13%	0.11%	0.22%	0.24%	0.2%
15	0.13%	0.15%	0.12%	0.24%	0.27%	0.21%
16	0.15%	0.17%	0.13%	0.27%	0.32%	0.23%
17	0.16%	0.19%	0.14%	0.31%	0.37%	0.24%
18	0.18%	0.21%	0.15%	0.35%	0.43%	0.26%
19	0.19%	0.23%	0.16%	0.39%	0.5%	0.27%
20	0.21%	0.25%	0.16%	0.43%	0.56%	0.28%
21	0.22%	0.27%	0.17%	0.46%	0.62%	0.3%
22	0.23%	0.28%	0.18%	0.48%	0.64%	0.31%
23	0.24%	0.29%	0.19%	0.48%	0.65%	0.32%
24	0.25%	0.3%	0.2%	0.49%	0.65%	0.33%
25	0.25%	0.31%	0.2%	0.49%	0.65%	0.34%
26	0.26%	0.31%	0.21%	0.5%	0.65%	0.35%
27	0.27%	0.32%	0.22%	0.5%	0.65%	0.36%
28	0.28%	0.33%	0.23%	0.51%	0.65%	0.37%
29	0.29%	0.34%	0.24%	0.51%	0.65%	0.38%
30	0.3%	0.36%	0.25%	0.52%	0.65%	0.39%
31	0.31%	0.37%	0.26%	0.52%	0.65%	0.4%
32	0.33%	0.39%	0.27%	0.53%	0.66%	0.4%
33	0.34%	0.41%	0.28%	0.54%	0.66%	0.41%
34	0.36%	0.42%	0.3%	0.54%	0.67%	0.42%
35	0.38%	0.45%	0.31%	0.55%	0.67%	0.43%
36	0.4%	0.47%	0.33%	0.56%	0.68%	0.45%
37	0.42%	0.5%	0.34%	0.58%	0.69%	0.46%
38	0.44%	0.53%	0.36%	0.6%	0.71%	0.49%
39	0.47%	0.55%	0.38%	0.62%	0.73%	0.51%
40	0.5%	0.59%	0.41%	0.65%	0.75%	0.54%
41	0.52%	0.61%	0.42%	0.67%	0.78%	0.57%
42	0.55%	0.66%	0.45%	0.69%	0.8%	0.59%
43	0.58%	0.69%	0.47%	0.71%	0.83%	0.6%
44	0.61%	0.73%	0.49%	0.73%	0.85%	0.62%
45	0.65%	0.78%	0.52%	0.75%	0.88%	0.63%
46	0.69%	0.83%	0.55%	0.77%	0.91%	0.64%
47	0.73%	0.88%	0.58%	0.81%	0.95%	0.67%
48	0.78%	0.95%	0.63%	0.85%	1%	0.7%
49	0.83%	1.02%	0.67%	0.9%	1.07%	0.75%
50	0.91%	1.1%	0.73%	0.97%	1.14%	0.8%
51	0.95%	1.16%	0.76%	1.03%	1.22%	0.86%
52	1.03%	1.26%	0.83%	1.1%	1.29%	0.92%
53	1.1%	1.34%	0.88%	1.17%	1.37%	0.98%
54	1.17%	1.43%	0.95%	1.23%	1.43%	1.03%
55	1.25%	1.52%	1.01%	1.29%	1.5%	1.09%
56	1.33%	1.63%	1.09%	1.35%	1.58%	1.15%
57	1.42%	1.73%	1.16%	1.43%	1.66%	1.22%
58	1.54%	1.88%	1.27%	1.53%	1.77%	1.31%
59	1.66%	2.02%	1.37%	1.65%	1.9%	1.42%
60	1.83%	2.22%	1.53%	1.79%	2.06%	1.55%
61	1.94%	2.36%	1.63%	1.96%	2.25%	1.7%
62	2.14%	2.59%	1.81%	2.14%	2.45%	1.87%
63	2.32%	2.8%	1.98%	2.34%	2.66%	2.06%
64	2.52%	3.04%	2.17%	2.55%	2.88%	2.26%
65	2.74%	3.29%	2.38%	2.77%	3.12%	2.47%
66	2.95%	3.54%	2.58%	3.01%	3.37%	2.71%
67	3.21%	3.84%	2.83%	3.28%	3.65%	2.97%
68	3.52%	4.17%	3.12%	3.59%	3.96%	3.27%
69	3.83%	4.52%	3.41%	3.93%	4.31%	3.6%
70	4.28%	4.99%	3.85%	4.31%	4.71%	3.98%
71	4.59%	5.34%	4.14%	4.73%	5.15%	4.39%
72	5.12%	5.9%	4.65%	5.19%	5.64%	4.83%
73	5.59%	6.41%	5.09%	5.69%	6.16%	5.3%
74	6.13%	6.99%	5.6%	6.22%	6.72%	5.81%
75	6.72%	7.61%	6.16%	6.79%	7.33%	6.36%
76	7.31%	8.25%	6.72%	7.42%	8%	6.96%
77	7.94%	8.92%	7.3%	8.11%	8.72%	7.64%
78	8.73%	9.74%	8.06%	8.88%	9.52%	8.39%
79	9.44%	10.5%	8.73%	9.74%	10.4%	9.24%
80	10.4%	11.5%	9.64%	10.7%	11.4%	10.2%
81	11.1%	12.3%	10.3%	11.7%	12.4%	11.2%
82	12.2%	13.4%	11.4%	12.8%	13.6%	12.2%
83	13.2%	14.5%	12.4%	13.9%	14.8%	13.3%
84	14.4%	15.7%	13.6%	15.2%	16.2%	14.5%
85	15.5%	16.9%	14.7%	16.4%	17.6%	15.7%
86	16.7%	18.1%	15.9%	17.8%	19.1%	16.9%
87	17.9%	19.4%	17%	19.2%	20.7%	18.2%
88	19.2%	20.7%	18.3%	20.7%	22.3%	19.6%
89	20.5%	22%	19.6%	22.2%	24%	21.1%
90	22.1%	23.6%	21.2%	23.8%	25.8%	22.7%
91	23.2%	24.8%	22.3%	25.5%	27.5%	24.3%
92	24.8%	26.5%	24%	27.1%	29.3%	26%
93	26.4%	28%	25.5%	28.8%	31.1%	27.6%
94	28%	29.6%	27.1%	30.5%	33%	29.3%
95	29.7%	31.3%	28.9%	32.2%	34.8%	31%
96	31.3%	32.8%	30.5%	33.9%	36.7%	32.7%
97	32.8%	34.3%	32.1%	35.6%	38.6%	34.4%
98	34.3%	35.7%	33.5%	37.2%	40.4%	36.1%
99	36.1%	37.5%	35.4%	38.9%	42.2%	37.8%
100	37.6%	38.9%	36.9%	40.6%	44.1%	39.5%

Death rate by age in Guinea-Bissau compared to Somalia

In Guinea-Bissau, the most common age of death is 0, compared to 0 in Somalia. The median age of death is 71.7 in Guinea-Bissau and 68.9 in Somalia — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Somalia
	Total	Male	Female	Total	Male	Female
0	4,736	5,229	4,234	6,499	7,017	5,965
1	859	901	814	1,300	1,309	1,291
2	520	549	489	983	1,005	960
3	355	376	333	751	779	722
4	250.9	265.4	235.9	579	608	550
5	190	201.4	178.1	453	479	426
6	156.3	167	145.2	360	382	338
7	132.7	142.9	122	293.5	310	276.1
8	116	125.7	106	245.7	257.8	233
9	105.2	114.4	95.6	212.5	220.9	203.7
10	99	107.5	90.1	190.8	196.6	184.8
11	96.1	104	88	178.7	182.8	174.3
12	97.3	105.4	88.9	174.5	178.2	170.6
13	101.8	110.7	92.5	179.1	185.3	172.6
14	109.8	120.5	98.8	192.6	205.5	179.1
15	120.7	133.5	107.4	213.4	236.6	189.1
16	135.3	152.1	117.9	239.2	275.4	201.3
17	149.7	172.1	126.6	267.4	318	214.2
18	165	193.1	136.1	299.4	369	226.7
19	178.2	211.3	144	334	426	238.1
20	190.3	227.9	151.5	366	480	248.2
21	200.8	241.9	158.4	391	520	257
22	209.9	253.2	165.3	406	540	265
23	217.3	261.3	172	411	544	272.7
24	223.9	267.7	178.9	414	542	280.6
25	229.8	272.8	185.5	416	537	288.7
26	235.8	278.2	192.3	417	531	296.9
27	242.4	284.3	199.3	419	527	305
28	250.3	292.1	207.3	421	523	313
29	257.8	301	214	423	520	320
30	269.2	313	224.4	425	519	327
31	276.2	321	230	428	518	333
32	290.6	338	242.4	430	518	338
33	303	352	252.9	433	517	343
34	317	367	264.6	436	517	349
35	333	387	277.5	440	518	357
36	348	405	291	446	520	367
37	364	424	304	455	526	380
38	385	447	322	468	535	397
39	403	467	336	483	547	416
40	428	496	357	500	561	436
41	442	514	368	516	575	454
42	471	547	392	531	590	468
43	490	571	407	542	603	478
44	514	601	425	552	615	485
45	544	638	448	562	628	491
46	568	668	469	575	645	501
47	599	707	493	595	668	516
48	638	753	527	621	698	539
49	676	799	559	655	735	570
50	728	857	606	694	777	606
51	759	894	631	735	820	646
52	816	956	683	776	861	685
53	857	1,004	719	812	898	721
54	906	1,058	764	844	931	754
55	952	1,109	806	875	961	786
56	1,005	1,168	857	908	993	821
57	1,057	1,226	906	947	1,031	862
58	1,128	1,302	977	997	1,080	913
59	1,196	1,377	1,044	1,059	1,140	977
60	1,297	1,480	1,150	1,133	1,212	1,053
61	1,353	1,543	1,206	1,215	1,292	1,138
62	1,461	1,652	1,321	1,303	1,375	1,230
63	1,550	1,741	1,415	1,392	1,458	1,327
64	1,644	1,832	1,518	1,482	1,539	1,425
65	1,746	1,928	1,632	1,571	1,617	1,527
66	1,828	2,001	1,725	1,662	1,694	1,631
67	1,933	2,094	1,843	1,756	1,772	1,742
68	2,050	2,191	1,978	1,855	1,853	1,859
69	2,151	2,274	2,094	1,958	1,938	1,982
70	2,312	2,395	2,285	2,065	2,026	2,108
71	2,374	2,439	2,358	2,169	2,111	2,232
72	2,526	2,551	2,538	2,267	2,190	2,349
73	2,616	2,607	2,649	2,354	2,259	2,455
74	2,707	2,658	2,768	2,427	2,314	2,547
75	2,786	2,692	2,875	2,487	2,354	2,626
76	2,828	2,696	2,941	2,532	2,379	2,693
77	2,846	2,676	2,984	2,563	2,386	2,749
78	2,880	2,661	3,053	2,579	2,377	2,791
79	2,843	2,591	3,039	2,577	2,350	2,815
80	2,829	2,532	3,064	2,551	2,302	2,812
81	2,705	2,394	2,950	2,496	2,230	2,775
82	2,655	2,302	2,939	2,409	2,134	2,698
83	2,528	2,153	2,834	2,290	2,013	2,581
84	2,390	1,998	2,716	2,143	1,871	2,429
85	2,201	1,804	2,538	1,971	1,708	2,248
86	2,005	1,612	2,341	1,782	1,528	2,047
87	1,786	1,410	2,113	1,581	1,339	1,834
88	1,572	1,216	1,886	1,376	1,146	1,615
89	1,352	1,024	1,643	1,174	957	1,396
90	1,160	855	1,434	979	780	1,183
91	948	687	1,184	797	618	979
92	781	551	991	633	477	791
93	623	429	802	490	358	624
94	487	327	636	369	261.4	479
95	373	243.2	494	270.7	185	358
96	275.8	175.3	371	193.2	127	260.7
97	198.6	123	270.6	134.1	84.5	184.7
98	139.3	84.1	192.3	90.5	54.4	127.3
99	96.5	56.7	135	59.3	33.9	85.2
100	10	0	23.8	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 Guinea-Bissau and Somalia 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
• Guinea-Bissau vs Somalia: Complete comparison

By topic vs comparisons:

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