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

Life expectancy by current age

Chart Table

Guinea-Bissau

Male

Female

Peru

Male

Female

1x

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

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 Guinea-Bissau can expect to live to 71.4 years compared to 80.3 in Peru, rising to 78.7 and 84.6 at 65, and to 86.1 and 89.7 at 80 — higher than the 64.6 and 78.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Guinea-Bissau

Male

Female

Peru

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 71.3% of newborns in Guinea-Bissau and 87.8% in Peru are expected to live past 60, 54.3% and 77.3% past 70, 27.5% and 56.8% past 80, and only 5.32% and 25.6% past 90.

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

Odds of dying at each age

Chart Table

Guinea-Bissau

Male

Female

Peru

Male

Female

1x

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

This chart displays the probability of dying at any given age in Guinea-Bissau compared to Peru, as 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.

Death rate by age in Guinea-Bissau vs Peru

Chart Table

Guinea-Bissau

Male

Female

Peru

Male

Female

1x

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

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 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, 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 Guinea-Bissau and Peru more than their death rates.

Life expectancy in other countries

+ -

1x