Life Expectancy in Guinea-Bissau vs Peru (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 Guinea-Bissau vs Peru: 71.4 years vs 80.3 at 30, 78.7 vs 84.6 at 65, 86.1 vs 89.7 at 80 — significantly higher than the 64.6 vs 78.3 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 Peru.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Peru
	Average	Male	Female	Average	Male	Female
0	64.6	62.1	66.9	78.3	76	80.6
1	67.7	65.5	69.8	79.1	76.9	81.3
2	68.3	66.1	70.4	79.1	76.9	81.3
3	68.7	66.5	70.7	79.2	77	81.4
4	68.9	66.7	70.9	79.2	77	81.4
5	69.1	66.9	71.1	79.3	77.1	81.5
6	69.2	67	71.2	79.3	77.1	81.5
7	69.3	67.1	71.3	79.3	77.1	81.5
8	69.4	67.2	71.4	79.3	77.1	81.5
9	69.5	67.3	71.5	79.3	77.2	81.5
10	69.6	67.4	71.5	79.4	77.2	81.6
11	69.6	67.4	71.6	79.4	77.2	81.6
12	69.7	67.5	71.7	79.4	77.2	81.6
13	69.7	67.6	71.7	79.4	77.3	81.6
14	69.8	67.6	71.8	79.4	77.3	81.6
15	69.9	67.7	71.8	79.5	77.3	81.7
16	69.9	67.8	71.9	79.5	77.3	81.7
17	70	67.9	72	79.5	77.4	81.7
18	70.1	68	72	79.6	77.4	81.8
19	70.2	68.1	72.1	79.6	77.5	81.8
20	70.3	68.2	72.2	79.7	77.5	81.8
21	70.4	68.3	72.3	79.7	77.6	81.8
22	70.5	68.4	72.4	79.8	77.7	81.9
23	70.6	68.5	72.4	79.8	77.8	81.9
24	70.7	68.7	72.5	79.9	77.8	81.9
25	70.8	68.8	72.6	80	77.9	82
26	70.9	68.9	72.7	80	78	82
27	71.1	69.1	72.8	80.1	78.1	82.1
28	71.2	69.2	72.9	80.1	78.2	82.1
29	71.3	69.3	73	80.2	78.3	82.1
30	71.4	69.5	73.1	80.3	78.3	82.2
31	71.5	69.6	73.2	80.3	78.4	82.2
32	71.7	69.7	73.3	80.4	78.5	82.3
33	71.8	69.9	73.4	80.4	78.6	82.3
34	71.9	70	73.5	80.5	78.7	82.4
35	72	70.2	73.7	80.6	78.8	82.4
36	72.2	70.3	73.8	80.7	78.9	82.4
37	72.3	70.5	73.9	80.7	78.9	82.5
38	72.5	70.7	74	80.8	79	82.5
39	72.6	70.8	74.2	80.9	79.1	82.6
40	72.8	71	74.3	80.9	79.2	82.7
41	72.9	71.2	74.4	81	79.3	82.7
42	73.1	71.4	74.6	81.1	79.4	82.8
43	73.3	71.5	74.7	81.2	79.5	82.9
44	73.4	71.7	74.8	81.3	79.6	82.9
45	73.6	71.9	75	81.4	79.7	83
46	73.8	72.1	75.1	81.5	79.8	83.1
47	74	72.4	75.3	81.6	80	83.2
48	74.2	72.6	75.5	81.7	80.1	83.3
49	74.4	72.8	75.6	81.8	80.2	83.4
50	74.6	73	75.8	81.9	80.3	83.5
51	74.8	73.3	76	82	80.5	83.6
52	75	73.5	76.2	82.2	80.6	83.7
53	75.2	73.8	76.4	82.3	80.8	83.8
54	75.5	74.1	76.6	82.5	80.9	83.9
55	75.7	74.4	76.8	82.6	81.1	84.1
56	76	74.7	77	82.8	81.3	84.2
57	76.3	75	77.2	82.9	81.5	84.4
58	76.5	75.3	77.5	83.1	81.7	84.5
59	76.8	75.6	77.7	83.3	81.9	84.7
60	77.1	75.9	78	83.5	82.1	84.9
61	77.4	76.3	78.2	83.7	82.3	85
62	77.7	76.6	78.5	83.9	82.6	85.2
63	78	77	78.8	84.2	82.8	85.4
64	78.4	77.4	79.1	84.4	83.1	85.6
65	78.7	77.8	79.4	84.6	83.3	85.8
66	79.1	78.2	79.8	84.9	83.6	86.1
67	79.5	78.6	80.1	85.1	83.8	86.3
68	79.9	79.1	80.5	85.4	84.1	86.5
69	80.3	79.5	80.9	85.7	84.4	86.8
70	80.7	80	81.3	85.9	84.7	87.1
71	81.2	80.5	81.7	86.2	85	87.3
72	81.7	81	82.1	86.6	85.4	87.6
73	82.2	81.5	82.6	86.9	85.7	88
74	82.7	82.1	83.1	87.3	86.1	88.3
75	83.2	82.6	83.6	87.6	86.5	88.6
76	83.7	83.2	84.1	88	86.9	89
77	84.3	83.8	84.7	88.4	87.3	89.3
78	84.9	84.4	85.2	88.8	87.8	89.7
79	85.5	85.1	85.8	89.3	88.2	90.1
80	86.1	85.7	86.4	89.7	88.7	90.5
81	86.8	86.4	87	90.2	89.2	91
82	87.4	87.1	87.7	90.7	89.7	91.4
83	88.1	87.8	88.3	91.2	90.3	91.9
84	88.8	88.5	89	91.7	90.8	92.4
85	89.5	89.3	89.7	92.2	91.4	92.9
86	90.3	90	90.4	92.8	92	93.4
87	91	90.8	91.2	93.4	92.6	94
88	91.8	91.6	92	94	93.2	94.5
89	92.6	92.4	92.7	94.6	93.9	95.1
90	93.4	93.2	93.5	95.3	94.6	95.7
91	94.2	94	94.3	95.9	95.3	96.3
92	95	94.9	95.1	96.6	96	97
93	95.9	95.7	95.9	97.3	96.7	97.7
94	96.7	96.6	96.8	98.1	97.5	98.4
95	97.6	97.4	97.6	98.8	98.3	99.1
96	98.4	98.3	98.5	99.6	99	99.8
97	99.3	99.2	99.4	100.4	99.9	100.6
98	100.2	100.1	100.3	101.2	100.7	101.3
99	101.1	101	101.2	102	101.6	102.2
100	102	101.9	102.1	102.8	102.4	103

Odds of living to age in Guinea-Bissau vs Peru

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71.3% in Guinea-Bissau and 87.8% in Peru are expected to survive till at least 60 years old, 54.3% and 77.3% will live to 70 years or older, 27.5% and 56.8% to 80+ years, and 5.32% and 25.6% 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			Peru
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.9%	99%	98.9%	99.2%
2	94.5%	94%	95.1%	99%	98.8%	99.1%
3	94%	93.4%	94.6%	98.9%	98.8%	99%
4	93.6%	93%	94.2%	98.8%	98.7%	99%
5	93.4%	92.8%	94%	98.8%	98.6%	98.9%
6	93.2%	92.6%	93.8%	98.7%	98.6%	98.9%
7	93.1%	92.4%	93.7%	98.7%	98.6%	98.9%
8	92.9%	92.3%	93.6%	98.7%	98.5%	98.9%
9	92.8%	92.2%	93.5%	98.7%	98.5%	98.8%
10	92.7%	92%	93.4%	98.6%	98.5%	98.8%
11	92.6%	91.9%	93.3%	98.6%	98.4%	98.8%
12	92.5%	91.8%	93.2%	98.6%	98.4%	98.8%
13	92.4%	91.7%	93.1%	98.5%	98.4%	98.7%
14	92.3%	91.6%	93%	98.5%	98.3%	98.7%
15	92.2%	91.5%	92.9%	98.5%	98.3%	98.7%
16	92.1%	91.4%	92.8%	98.4%	98.2%	98.6%
17	92%	91.2%	92.7%	98.4%	98.2%	98.6%
18	91.8%	91%	92.6%	98.3%	98.1%	98.5%
19	91.6%	90.9%	92.5%	98.2%	98%	98.5%
20	91.5%	90.6%	92.3%	98.2%	97.9%	98.4%
21	91.3%	90.4%	92.2%	98.1%	97.8%	98.4%
22	91.1%	90.2%	92%	98%	97.6%	98.3%
23	90.9%	89.9%	91.8%	97.9%	97.5%	98.3%
24	90.7%	89.7%	91.7%	97.8%	97.4%	98.2%
25	90.4%	89.4%	91.5%	97.7%	97.2%	98.2%
26	90.2%	89.1%	91.3%	97.6%	97.1%	98.1%
27	90%	88.9%	91.1%	97.5%	96.9%	98%
28	89.7%	88.6%	90.9%	97.3%	96.7%	98%
29	89.5%	88.3%	90.7%	97.2%	96.6%	97.9%
30	89.2%	88%	90.5%	97.1%	96.4%	97.8%
31	89%	87.7%	90.3%	97%	96.3%	97.7%
32	88.7%	87.4%	90.1%	96.9%	96.1%	97.6%
33	88.4%	87%	89.8%	96.7%	95.9%	97.6%
34	88.1%	86.7%	89.6%	96.6%	95.7%	97.5%
35	87.8%	86.3%	89.3%	96.5%	95.5%	97.4%
36	87.5%	85.9%	89%	96.3%	95.3%	97.3%
37	87.1%	85.5%	88.8%	96.2%	95.1%	97.2%
38	86.8%	85.1%	88.5%	96%	94.9%	97.1%
39	86.4%	84.7%	88.1%	95.8%	94.7%	96.9%
40	86%	84.2%	87.8%	95.6%	94.5%	96.8%
41	85.6%	83.7%	87.5%	95.4%	94.2%	96.7%
42	85.1%	83.2%	87.1%	95.2%	94%	96.5%
43	84.7%	82.7%	86.7%	95%	93.7%	96.3%
44	84.2%	82.1%	86.3%	94.8%	93.5%	96.2%
45	83.7%	81.5%	85.9%	94.6%	93.2%	96%
46	83.1%	80.9%	85.4%	94.3%	92.9%	95.8%
47	82.6%	80.2%	85%	94%	92.6%	95.5%
48	82%	79.5%	84.5%	93.7%	92.2%	95.3%
49	81.3%	78.8%	84%	93.4%	91.9%	95%
50	80.7%	78%	83.4%	93.1%	91.5%	94.7%
51	79.9%	77.1%	82.8%	92.7%	91.1%	94.4%
52	79.2%	76.2%	82.2%	92.3%	90.6%	94.1%
53	78.4%	75.3%	81.5%	91.9%	90.1%	93.7%
54	77.5%	74.3%	80.8%	91.4%	89.6%	93.3%
55	76.6%	73.2%	80%	90.9%	89%	92.9%
56	75.7%	72.1%	79.2%	90.4%	88.4%	92.4%
57	74.7%	70.9%	78.4%	89.8%	87.7%	91.9%
58	73.6%	69.7%	77.5%	89.2%	87%	91.4%
59	72.5%	68.4%	76.5%	88.5%	86.2%	90.8%
60	71.3%	67.1%	75.4%	87.8%	85.4%	90.2%
61	70%	65.6%	74.3%	87%	84.5%	89.5%
62	68.6%	64%	73.1%	86.2%	83.6%	88.8%
63	67.2%	62.4%	71.8%	85.3%	82.6%	88.1%
64	65.6%	60.6%	70.4%	84.3%	81.5%	87.3%
65	64%	58.8%	68.8%	83.4%	80.4%	86.4%
66	62.2%	56.9%	67.2%	82.3%	79.2%	85.5%
67	60.4%	54.9%	65.5%	81.2%	78%	84.5%
68	58.5%	52.8%	63.6%	80%	76.7%	83.4%
69	56.4%	50.6%	61.7%	78.7%	75.3%	82.2%
70	54.3%	48.3%	59.6%	77.3%	73.7%	81%
71	51.9%	45.9%	57.3%	75.8%	72.1%	79.6%
72	49.6%	43.5%	54.9%	74.2%	70.4%	78.2%
73	47%	40.9%	52.4%	72.5%	68.5%	76.6%
74	44.4%	38.3%	49.7%	70.6%	66.4%	74.9%
75	41.7%	35.6%	46.9%	68.7%	64.2%	73.1%
76	38.9%	32.9%	44.1%	66.5%	61.9%	71.2%
77	36.1%	30.2%	41.1%	64.3%	59.5%	69.2%
78	33.2%	27.5%	38.1%	61.9%	57%	67%
79	30.4%	24.9%	35.1%	59.5%	54.3%	64.7%
80	27.5%	22.3%	32%	56.8%	51.5%	62.2%
81	24.7%	19.7%	28.9%	54.1%	48.6%	59.6%
82	21.9%	17.3%	26%	51.2%	45.5%	56.9%
83	19.3%	15%	23%	48.2%	42.4%	54.1%
84	16.7%	12.8%	20.2%	45.1%	39.2%	51.1%
85	14.3%	10.8%	17.4%	41.9%	35.9%	48%
86	12.1%	8.99%	14.9%	38.7%	32.6%	44.9%
87	10.1%	7.36%	12.5%	35.4%	29.3%	41.6%
88	8.27%	5.94%	10.4%	32.1%	26%	38.2%
89	6.68%	4.71%	8.48%	28.8%	22.9%	34.9%
90	5.32%	3.67%	6.82%	25.6%	19.8%	31.5%
91	4.14%	2.81%	5.38%	22.5%	16.9%	28.1%
92	3.19%	2.11%	4.18%	19.4%	14.2%	24.8%
93	2.4%	1.55%	3.18%	16.6%	11.7%	21.5%
94	1.76%	1.12%	2.37%	13.9%	9.49%	18.5%
95	1.27%	0.79%	1.73%	11.5%	7.52%	15.6%
96	0.89%	0.54%	1.23%	9.34%	5.83%	12.9%
97	0.61%	0.36%	0.85%	7.44%	4.42%	10.5%
98	0.41%	0.24%	0.58%	5.8%	3.27%	8.37%
99	0.27%	0.15%	0.39%	4.42%	2.35%	6.53%
100	0.17%	0.1%	0.25%	3.3%	1.65%	4.97%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.65% in the birth year in Guinea-Bissau and 0.96% in Peru, 0.3% vs 0.13% at age 30, 1.82% vs 0.89% at 60, and 10.3% vs 4.84% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Peru
	Average	Male	Female	Average	Male	Female
0	4.65%	5.15%	4.15%	0.96%	1.09%	0.82%
1	0.88%	0.94%	0.83%	0.09%	0.09%	0.09%
2	0.54%	0.58%	0.5%	0.07%	0.07%	0.07%
3	0.37%	0.4%	0.35%	0.06%	0.06%	0.05%
4	0.26%	0.28%	0.25%	0.05%	0.05%	0.04%
5	0.2%	0.21%	0.19%	0.04%	0.04%	0.03%
6	0.17%	0.18%	0.15%	0.03%	0.04%	0.03%
7	0.14%	0.15%	0.13%	0.03%	0.03%	0.03%
8	0.12%	0.13%	0.11%	0.03%	0.03%	0.02%
9	0.11%	0.12%	0.1%	0.03%	0.03%	0.02%
10	0.11%	0.12%	0.09%	0.03%	0.03%	0.02%
11	0.1%	0.11%	0.09%	0.03%	0.03%	0.02%
12	0.1%	0.11%	0.09%	0.03%	0.03%	0.03%
13	0.11%	0.12%	0.1%	0.03%	0.04%	0.03%
14	0.12%	0.13%	0.1%	0.04%	0.05%	0.04%
15	0.13%	0.14%	0.11%	0.05%	0.06%	0.04%
16	0.14%	0.16%	0.12%	0.06%	0.07%	0.04%
17	0.16%	0.19%	0.13%	0.06%	0.08%	0.05%
18	0.18%	0.21%	0.14%	0.07%	0.1%	0.05%
19	0.19%	0.23%	0.15%	0.08%	0.11%	0.05%
20	0.21%	0.25%	0.16%	0.09%	0.12%	0.05%
21	0.22%	0.26%	0.17%	0.09%	0.13%	0.05%
22	0.23%	0.28%	0.18%	0.1%	0.14%	0.05%
23	0.24%	0.29%	0.18%	0.1%	0.15%	0.06%
24	0.24%	0.3%	0.19%	0.11%	0.15%	0.06%
25	0.25%	0.3%	0.2%	0.11%	0.16%	0.06%
26	0.26%	0.31%	0.21%	0.11%	0.16%	0.07%
27	0.27%	0.32%	0.22%	0.12%	0.16%	0.07%
28	0.28%	0.33%	0.22%	0.12%	0.17%	0.08%
29	0.28%	0.34%	0.23%	0.12%	0.17%	0.08%
30	0.3%	0.35%	0.24%	0.13%	0.17%	0.08%
31	0.31%	0.36%	0.25%	0.13%	0.18%	0.08%
32	0.32%	0.38%	0.27%	0.13%	0.18%	0.09%
33	0.34%	0.4%	0.28%	0.14%	0.19%	0.09%
34	0.36%	0.42%	0.29%	0.14%	0.2%	0.1%
35	0.37%	0.44%	0.31%	0.15%	0.2%	0.1%
36	0.39%	0.47%	0.32%	0.16%	0.21%	0.11%
37	0.41%	0.49%	0.34%	0.17%	0.22%	0.12%
38	0.44%	0.52%	0.36%	0.18%	0.23%	0.12%
39	0.46%	0.55%	0.38%	0.19%	0.24%	0.13%
40	0.49%	0.58%	0.4%	0.2%	0.25%	0.15%
41	0.51%	0.61%	0.42%	0.21%	0.26%	0.16%
42	0.55%	0.65%	0.45%	0.22%	0.28%	0.17%
43	0.57%	0.69%	0.46%	0.24%	0.29%	0.19%
44	0.61%	0.73%	0.49%	0.25%	0.3%	0.2%
45	0.65%	0.78%	0.52%	0.27%	0.32%	0.22%
46	0.68%	0.82%	0.54%	0.29%	0.34%	0.24%
47	0.72%	0.88%	0.58%	0.31%	0.36%	0.26%
48	0.77%	0.94%	0.62%	0.34%	0.39%	0.28%
49	0.83%	1.01%	0.66%	0.36%	0.42%	0.31%
50	0.9%	1.09%	0.72%	0.39%	0.46%	0.33%
51	0.94%	1.15%	0.76%	0.43%	0.5%	0.36%
52	1.03%	1.25%	0.83%	0.46%	0.54%	0.39%
53	1.09%	1.33%	0.88%	0.5%	0.59%	0.42%
54	1.16%	1.42%	0.94%	0.55%	0.64%	0.45%
55	1.24%	1.51%	1%	0.59%	0.69%	0.49%
56	1.32%	1.61%	1.08%	0.65%	0.75%	0.54%
57	1.41%	1.72%	1.15%	0.7%	0.82%	0.58%
58	1.53%	1.86%	1.26%	0.76%	0.89%	0.63%
59	1.65%	2.01%	1.36%	0.82%	0.97%	0.68%
60	1.82%	2.2%	1.52%	0.89%	1.04%	0.74%
61	1.94%	2.35%	1.62%	0.96%	1.12%	0.79%
62	2.13%	2.58%	1.8%	1.03%	1.2%	0.85%
63	2.31%	2.79%	1.97%	1.1%	1.28%	0.92%
64	2.51%	3.02%	2.16%	1.18%	1.37%	0.99%
65	2.73%	3.28%	2.37%	1.26%	1.46%	1.08%
66	2.94%	3.52%	2.57%	1.36%	1.56%	1.17%
67	3.2%	3.82%	2.82%	1.47%	1.68%	1.28%
68	3.51%	4.15%	3.11%	1.61%	1.83%	1.39%
69	3.82%	4.5%	3.4%	1.76%	2.01%	1.52%
70	4.26%	4.97%	3.84%	1.93%	2.21%	1.67%
71	4.57%	5.32%	4.12%	2.12%	2.44%	1.82%
72	5.1%	5.88%	4.63%	2.33%	2.7%	2%
73	5.56%	6.39%	5.07%	2.56%	2.97%	2.19%
74	6.1%	6.96%	5.58%	2.8%	3.27%	2.4%
75	6.69%	7.58%	6.14%	3.07%	3.58%	2.62%
76	7.28%	8.22%	6.7%	3.36%	3.92%	2.88%
77	7.9%	8.89%	7.28%	3.68%	4.29%	3.15%
78	8.69%	9.71%	8.04%	4.03%	4.7%	3.46%
79	9.4%	10.5%	8.71%	4.41%	5.16%	3.79%
80	10.3%	11.4%	9.62%	4.84%	5.67%	4.16%
81	11%	12.2%	10.3%	5.32%	6.24%	4.56%
82	12.2%	13.4%	11.4%	5.84%	6.88%	5%
83	13.2%	14.5%	12.4%	6.42%	7.59%	5.48%
84	14.4%	15.7%	13.6%	7.05%	8.36%	6.02%
85	15.5%	16.8%	14.7%	7.74%	9.21%	6.61%
86	16.7%	18.1%	15.9%	8.5%	10.1%	7.28%
87	17.9%	19.3%	17%	9.33%	11.1%	8.02%
88	19.2%	20.7%	18.3%	10.2%	12.2%	8.84%
89	20.4%	22%	19.5%	11.2%	13.4%	9.75%
90	22.1%	23.6%	21.2%	12.3%	14.6%	10.7%
91	23.1%	24.8%	22.2%	13.4%	16%	11.8%
92	24.8%	26.4%	23.9%	14.7%	17.5%	13%
93	26.3%	28%	25.5%	16%	19.1%	14.3%
94	28%	29.6%	27.1%	17.4%	20.7%	15.7%
95	29.7%	31.3%	28.9%	18.8%	22.4%	17.1%
96	31.3%	32.8%	30.5%	20.4%	24.2%	18.6%
97	32.8%	34.3%	32%	22%	26.1%	20.3%
98	34.2%	35.7%	33.5%	23.7%	28%	22%
99	36.1%	37.5%	35.4%	25.5%	30%	23.8%
100	37.5%	38.9%	36.9%	27.1%	31.9%	25.4%

Death rate by age in Guinea-Bissau compared to Peru

In Guinea-Bissau, the most common age of death is 0, compared to 87 in Peru. The median age of death is 71.8 in Guinea-Bissau and 82.4 in Peru — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Peru
	Total	Male	Female	Total	Male	Female
0	4,655	5,152	4,147	955	1,086	819
1	843	888	797	86.7	88.7	84.5
2	511	542	480	69.4	73.1	65.5
3	349	371	327	56.3	61	51.4
4	247.5	262.6	231.7	46.4	51.5	41
5	187.5	199.5	175	38.9	44.1	33.5
6	154.2	165.3	142.6	33.5	38.4	28.3
7	130.9	141.4	119.9	29.8	34.4	25.2
8	114.4	124.3	104.1	27.7	31.7	23.5
9	103.7	113.1	93.9	26.7	30.2	23
10	97.5	106.1	88.5	26.7	29.9	23.3
11	94.7	102.7	86.4	27.8	30.9	24.6
12	95.9	104.1	87.3	30.4	33.7	27
13	100.2	109.3	90.8	34.4	38.3	30.4
14	108.2	118.9	97	39.9	45.1	34.6
15	118.9	131.9	105.5	47	54.3	39.3
16	133.3	150.2	115.7	55.1	65.9	44
17	147.6	170	124.3	63.9	79.3	48
18	162.7	190.8	133.7	72.4	93.3	50.7
19	175.7	208.8	141.4	80	106.9	52.1
20	187.7	225.3	148.9	86.3	118.9	52.7
21	198.1	239.1	155.7	91.6	129	53.1
22	207.1	250.3	162.5	96.1	137.1	53.9
23	214.4	258.3	169.1	100.1	143.4	55.7
24	220.9	264.6	175.9	103.7	148.2	58.5
25	226.7	269.7	182.4	107.3	151.9	62.2
26	232.7	275	189.2	110.7	154.8	66.4
27	239.2	281.1	196.1	114	157.5	70.6
28	247.1	288.9	204.1	117	160.1	74.3
29	254.6	297.3	210.8	119.9	162.9	77.5
30	265.8	309	221	122.7	166.1	80.1
31	272.8	318	226.6	125.8	170	82.6
32	287.1	334	238.9	129.5	174.8	85.4
33	299.4	348	249.4	134.1	180.5	88.9
34	313	364	260.9	139.8	187.2	93.4
35	329	383	273.7	146.4	194.8	98.9
36	345	401	287.1	153.8	202.9	105.4
37	360	420	300	162	211.6	112.9
38	381	442	318	170.8	220.7	121.3
39	399	463	332	180.2	230.1	130.5
40	423	492	353	190.3	239.8	140.9
41	438	509	364	201	249.7	152.2
42	467	543	389	212.7	260.3	165
43	486	566	403	225.7	271.7	179.3
44	510	597	422	240.1	284.6	195.3
45	540	633	445	256.3	299.3	212.8
46	565	663	465	274.1	316	231.3
47	596	702	489	293.9	336	250.6
48	635	748	523	316	359	270.6
49	673	794	555	340	386	291.4
50	724	853	602	366	417	313
51	755	890	627	395	451	337
52	812	952	680	427	488	362
53	854	1,000	715	461	528	391
54	903	1,054	760	499	571	422
55	949	1,106	803	540	618	457
56	1,002	1,164	854	583	667	495
57	1,055	1,223	903	630	720	535
58	1,127	1,299	974	679	775	577
59	1,195	1,374	1,041	730	833	620
60	1,297	1,477	1,147	781	892	663
61	1,354	1,541	1,204	832	950	709
62	1,463	1,651	1,319	885	1,006	758
63	1,551	1,740	1,414	938	1,061	810
64	1,645	1,832	1,517	993	1,115	868
65	1,748	1,928	1,631	1,053	1,172	932
66	1,830	2,002	1,725	1,121	1,237	1,002
67	1,934	2,096	1,843	1,197	1,314	1,080
68	2,051	2,193	1,979	1,284	1,405	1,163
69	2,152	2,277	2,096	1,382	1,511	1,253
70	2,313	2,399	2,287	1,489	1,631	1,349
71	2,375	2,444	2,361	1,607	1,763	1,453
72	2,527	2,557	2,542	1,730	1,900	1,563
73	2,618	2,614	2,655	1,855	2,036	1,678
74	2,710	2,666	2,774	1,981	2,170	1,797
75	2,789	2,702	2,883	2,106	2,299	1,920
76	2,832	2,707	2,950	2,235	2,427	2,049
77	2,852	2,688	2,994	2,365	2,554	2,181
78	2,888	2,674	3,064	2,495	2,679	2,315
79	2,853	2,605	3,052	2,624	2,801	2,451
80	2,842	2,546	3,078	2,751	2,918	2,586
81	2,719	2,409	2,966	2,875	3,032	2,718
82	2,671	2,318	2,955	2,991	3,134	2,844
83	2,545	2,169	2,850	3,094	3,218	2,964
84	2,407	2,014	2,732	3,181	3,277	3,076
85	2,219	1,819	2,554	3,247	3,307	3,177
86	2,022	1,627	2,357	3,290	3,303	3,266
87	1,803	1,424	2,129	3,303	3,261	3,336
88	1,587	1,228	1,900	3,283	3,179	3,380
89	1,366	1,035	1,657	3,228	3,053	3,400
90	1,173	865	1,447	3,136	2,892	3,381
91	959	695	1,195	3,008	2,704	3,316
92	791	558	1,001	2,851	2,487	3,223
93	631	435	810	2,657	2,239	3,086
94	493	331	643	2,426	1,968	2,897
95	377	246.6	499	2,168	1,686	2,662
96	279.6	177.9	375	1,903	1,412	2,404
97	201.5	124.9	273.7	1,637	1,153	2,129
98	141.4	85.4	194.6	1,377	916	1,843
99	98	57.6	136.6	1,128	706	1,555
100	10.5	0	24.3	861	438	1,286

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 Peru 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 Peru: Profiles in Numbers

By topic vs comparisons:

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