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

Life expectancy by current age

Chart Table

Guinea-Bissau

Male

Female

Mexico

Male

Female

1x

Current age, years	Total life expectancy, years
	Guinea-Bissau			Mexico
	Average	Male	Female	Average	Male	Female
100	102	101.9	102.1	102.4	102.4	102.3
99	101.1	101	101.2	101.4	101.6	101.3
98	100.2	100.1	100.3	100.6	100.8	100.4
97	99.3	99.2	99.4	99.7	99.9	99.5
96	98.4	98.3	98.5	98.9	99.2	98.7
95	97.6	97.4	97.6	98.1	98.4	97.9
94	96.7	96.6	96.8	97.3	97.6	97.1
93	95.9	95.7	95.9	96.6	96.9	96.3
92	95	94.9	95.1	95.8	96.1	95.6
91	94.2	94	94.3	95.1	95.4	94.9
90	93.4	93.2	93.5	94.4	94.6	94.2
89	92.6	92.4	92.7	93.7	93.9	93.5
88	91.8	91.6	92	93	93.2	92.8
87	91	90.8	91.2	92.3	92.6	92.1
86	90.3	90	90.4	91.7	91.9	91.5
85	89.5	89.3	89.7	91.1	91.3	90.9
84	88.8	88.5	89	90.5	90.7	90.3
83	88.1	87.8	88.3	89.9	90.1	89.8
82	87.4	87.1	87.7	89.4	89.5	89.3
81	86.8	86.4	87	88.8	88.9	88.8
80	86.1	85.7	86.4	88.3	88.4	88.3
79	85.5	85.1	85.8	87.9	87.9	87.8
78	84.9	84.4	85.2	87.4	87.4	87.4
77	84.3	83.8	84.7	87	86.9	87
76	83.7	83.2	84.1	86.5	86.4	86.7
75	83.2	82.6	83.6	86.1	85.9	86.3
74	82.7	82.1	83.1	85.8	85.5	86
73	82.2	81.5	82.6	85.4	85.1	85.7
72	81.7	81	82.1	85	84.7	85.3
71	81.2	80.5	81.7	84.7	84.3	85
70	80.7	80	81.3	84.4	83.9	84.8
69	80.3	79.5	80.9	84.1	83.5	84.5
68	79.9	79.1	80.5	83.8	83.2	84.2
67	79.5	78.6	80.1	83.5	82.9	84
66	79.1	78.2	79.8	83.2	82.5	83.7
65	78.7	77.8	79.4	82.9	82.2	83.5
64	78.4	77.4	79.1	82.6	81.9	83.3
63	78	77	78.8	82.4	81.6	83.1
62	77.7	76.6	78.5	82.1	81.3	82.9
61	77.4	76.3	78.2	81.9	81	82.7
60	77.1	75.9	78	81.7	80.7	82.5
59	76.8	75.6	77.7	81.4	80.5	82.3
58	76.5	75.3	77.5	81.2	80.2	82.1
57	76.3	75	77.2	81	79.9	81.9
56	76	74.7	77	80.8	79.7	81.8
55	75.7	74.4	76.8	80.6	79.5	81.6
54	75.5	74.1	76.6	80.5	79.3	81.5
53	75.2	73.8	76.4	80.3	79	81.4
52	75	73.5	76.2	80.1	78.8	81.3
51	74.8	73.3	76	80	78.6	81.2
50	74.6	73	75.8	79.8	78.5	81
49	74.4	72.8	75.6	79.7	78.3	80.9
48	74.2	72.6	75.5	79.6	78.1	80.8
47	74	72.4	75.3	79.4	77.9	80.8
46	73.8	72.1	75.1	79.3	77.8	80.7
45	73.6	71.9	75	79.2	77.6	80.6
44	73.4	71.7	74.8	79.1	77.4	80.5
43	73.3	71.5	74.7	79	77.3	80.4
42	73.1	71.4	74.6	78.8	77.1	80.4
41	72.9	71.2	74.4	78.7	77	80.3
40	72.8	71	74.3	78.6	76.8	80.3
39	72.6	70.8	74.2	78.5	76.7	80.2
38	72.5	70.7	74	78.4	76.6	80.2
37	72.3	70.5	73.9	78.4	76.4	80.1
36	72.2	70.3	73.8	78.3	76.3	80.1
35	72	70.2	73.7	78.2	76.2	80
34	71.9	70	73.5	78.1	76	80
33	71.8	69.9	73.4	78	75.9	79.9
32	71.7	69.7	73.3	77.9	75.8	79.9
31	71.5	69.6	73.2	77.8	75.6	79.8
30	71.4	69.5	73.1	77.7	75.5	79.8
29	71.3	69.3	73	77.6	75.4	79.8
28	71.2	69.2	72.9	77.6	75.2	79.7
27	71.1	69.1	72.8	77.5	75.1	79.7
26	70.9	68.9	72.7	77.4	75	79.7
25	70.8	68.8	72.6	77.3	74.9	79.6
24	70.7	68.7	72.5	77.2	74.7	79.6
23	70.6	68.5	72.4	77.1	74.6	79.5
22	70.5	68.4	72.4	77.1	74.5	79.5
21	70.4	68.3	72.3	77	74.4	79.5
20	70.3	68.2	72.2	76.9	74.3	79.4
19	70.2	68.1	72.1	76.9	74.2	79.4
18	70.1	68	72	76.8	74.1	79.4
17	70	67.9	72	76.8	74	79.4
16	69.9	67.8	71.9	76.7	74	79.3
15	69.9	67.7	71.8	76.7	73.9	79.3
14	69.8	67.6	71.8	76.7	73.9	79.3
13	69.7	67.6	71.7	76.6	73.9	79.3
12	69.7	67.5	71.7	76.6	73.9	79.3
11	69.6	67.4	71.6	76.6	73.9	79.2
10	69.6	67.4	71.5	76.6	73.8	79.2
9	69.5	67.3	71.5	76.6	73.8	79.2
8	69.4	67.2	71.4	76.6	73.8	79.2
7	69.3	67.1	71.3	76.6	73.8	79.2
6	69.2	67	71.2	76.5	73.8	79.2
5	69.1	66.9	71.1	76.5	73.8	79.2
4	68.9	66.7	70.9	76.5	73.7	79.1
3	68.7	66.5	70.7	76.5	73.7	79.1
2	68.3	66.1	70.4	76.4	73.7	79.1
1	67.7	65.5	69.8	76.4	73.6	79
0	64.6	62.1	66.9	75.6	72.8	78.4

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 77.7 in Mexico, rising to 78.7 and 82.9 at 65, and to 86.1 and 88.3 at 80 — higher than the 64.6 and 75.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Guinea-Bissau

Male

Female

Mexico

Male

Female

1x

Age	Survival probability
	Guinea-Bissau			Mexico
	Average	Male	Female	Average	Male	Female
100	0.17%	0.1%	0.25%	1.27%	1.44%	1.1%
99	0.27%	0.15%	0.39%	1.87%	2.02%	1.72%
98	0.41%	0.24%	0.58%	2.67%	2.75%	2.56%
97	0.61%	0.36%	0.85%	3.68%	3.65%	3.67%
96	0.89%	0.54%	1.23%	4.92%	4.74%	5.08%
95	1.27%	0.79%	1.73%	6.42%	6.02%	6.78%
94	1.76%	1.12%	2.37%	8.17%	7.5%	8.79%
93	2.4%	1.55%	3.18%	10.2%	9.19%	11.1%
92	3.19%	2.11%	4.18%	12.5%	11.1%	13.8%
91	4.14%	2.81%	5.38%	15.1%	13.2%	16.8%
90	5.32%	3.67%	6.82%	17.9%	15.5%	20.1%
89	6.68%	4.71%	8.48%	20.9%	18%	23.6%
88	8.27%	5.94%	10.4%	24.1%	20.6%	27.4%
87	10.1%	7.36%	12.5%	27.4%	23.4%	31.3%
86	12.1%	8.99%	14.9%	30.8%	26.2%	35.2%
85	14.3%	10.8%	17.4%	34.2%	29.1%	39.2%
84	16.7%	12.8%	20.2%	37.6%	32%	43%
83	19.3%	15%	23%	40.9%	34.9%	46.7%
82	21.9%	17.3%	26%	44.1%	37.8%	50.3%
81	24.7%	19.7%	28.9%	47.3%	40.6%	53.8%
80	27.5%	22.3%	32%	50.3%	43.4%	57%
79	30.4%	24.9%	35.1%	53.2%	46.1%	60%
78	33.2%	27.5%	38.1%	55.9%	48.8%	62.8%
77	36.1%	30.2%	41.1%	58.5%	51.3%	65.4%
76	38.9%	32.9%	44.1%	60.9%	53.8%	67.9%
75	41.7%	35.6%	46.9%	63.2%	56.1%	70.1%
74	44.4%	38.3%	49.7%	65.4%	58.3%	72.1%
73	47%	40.9%	52.4%	67.4%	60.5%	74%
72	49.6%	43.5%	54.9%	69.3%	62.5%	75.8%
71	51.9%	45.9%	57.3%	71.1%	64.4%	77.4%
70	54.3%	48.3%	59.6%	72.8%	66.2%	79%
69	56.4%	50.6%	61.7%	74.3%	68%	80.4%
68	58.5%	52.8%	63.6%	75.8%	69.6%	81.8%
67	60.4%	54.9%	65.5%	77.2%	71.1%	83%
66	62.2%	56.9%	67.2%	78.5%	72.5%	84.2%
65	64%	58.8%	68.8%	79.7%	73.9%	85.2%
64	65.6%	60.6%	70.4%	80.9%	75.2%	86.3%
63	67.2%	62.4%	71.8%	82%	76.5%	87.2%
62	68.6%	64%	73.1%	83%	77.7%	88.1%
61	70%	65.6%	74.3%	84%	78.9%	88.9%
60	71.3%	67.1%	75.4%	85%	80%	89.7%
59	72.5%	68.4%	76.5%	85.8%	81%	90.4%
58	73.6%	69.7%	77.5%	86.6%	82%	91.1%
57	74.7%	70.9%	78.4%	87.4%	82.9%	91.7%
56	75.7%	72.1%	79.2%	88.1%	83.8%	92.3%
55	76.6%	73.2%	80%	88.7%	84.6%	92.8%
54	77.5%	74.3%	80.8%	89.3%	85.3%	93.2%
53	78.4%	75.3%	81.5%	89.9%	86%	93.7%
52	79.2%	76.2%	82.2%	90.4%	86.7%	94.1%
51	79.9%	77.1%	82.8%	90.9%	87.3%	94.4%
50	80.7%	78%	83.4%	91.4%	87.9%	94.7%
49	81.3%	78.8%	84%	91.8%	88.4%	95%
48	82%	79.5%	84.5%	92.2%	89%	95.3%
47	82.6%	80.2%	85%	92.6%	89.5%	95.6%
46	83.1%	80.9%	85.4%	92.9%	89.9%	95.8%
45	83.7%	81.5%	85.9%	93.2%	90.4%	96%
44	84.2%	82.1%	86.3%	93.5%	90.8%	96.2%
43	84.7%	82.7%	86.7%	93.8%	91.2%	96.4%
42	85.1%	83.2%	87.1%	94.1%	91.6%	96.6%
41	85.6%	83.7%	87.5%	94.4%	92%	96.7%
40	86%	84.2%	87.8%	94.6%	92.4%	96.9%
39	86.4%	84.7%	88.1%	94.9%	92.8%	97%
38	86.8%	85.1%	88.5%	95.1%	93.1%	97.1%
37	87.1%	85.5%	88.8%	95.3%	93.4%	97.3%
36	87.5%	85.9%	89%	95.5%	93.7%	97.4%
35	87.8%	86.3%	89.3%	95.7%	94%	97.5%
34	88.1%	86.7%	89.6%	95.9%	94.3%	97.6%
33	88.4%	87%	89.8%	96.1%	94.6%	97.6%
32	88.7%	87.4%	90.1%	96.3%	94.9%	97.7%
31	89%	87.7%	90.3%	96.5%	95.2%	97.8%
30	89.2%	88%	90.5%	96.7%	95.5%	97.9%
29	89.5%	88.3%	90.7%	96.8%	95.7%	98%
28	89.7%	88.6%	90.9%	97%	96%	98%
27	90%	88.9%	91.1%	97.2%	96.3%	98.1%
26	90.2%	89.1%	91.3%	97.3%	96.5%	98.2%
25	90.4%	89.4%	91.5%	97.5%	96.8%	98.2%
24	90.7%	89.7%	91.7%	97.6%	97%	98.3%
23	90.9%	89.9%	91.8%	97.8%	97.2%	98.4%
22	91.1%	90.2%	92%	97.9%	97.4%	98.4%
21	91.3%	90.4%	92.2%	98.1%	97.7%	98.5%
20	91.5%	90.6%	92.3%	98.2%	97.8%	98.5%
19	91.6%	90.9%	92.5%	98.3%	98%	98.6%
18	91.8%	91%	92.6%	98.4%	98.2%	98.6%
17	92%	91.2%	92.7%	98.5%	98.3%	98.7%
16	92.1%	91.4%	92.8%	98.5%	98.4%	98.7%
15	92.2%	91.5%	92.9%	98.6%	98.4%	98.8%
14	92.3%	91.6%	93%	98.6%	98.5%	98.8%
13	92.4%	91.7%	93.1%	98.7%	98.5%	98.8%
12	92.5%	91.8%	93.2%	98.7%	98.5%	98.8%
11	92.6%	91.9%	93.3%	98.7%	98.6%	98.9%
10	92.7%	92%	93.4%	98.7%	98.6%	98.9%
9	92.8%	92.2%	93.5%	98.7%	98.6%	98.9%
8	92.9%	92.3%	93.6%	98.8%	98.6%	98.9%
7	93.1%	92.4%	93.7%	98.8%	98.6%	98.9%
6	93.2%	92.6%	93.8%	98.8%	98.7%	98.9%
5	93.4%	92.8%	94%	98.8%	98.7%	99%
4	93.6%	93%	94.2%	98.9%	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 85% in Mexico are expected to live past 60, 54.3% and 72.8% past 70, 27.5% and 50.3% past 80, and only 5.32% and 17.9% 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

Mexico

Male

Female

1x

Age	Probability of dying
	Guinea-Bissau			Mexico
	Average	Male	Female	Average	Male	Female
100	37.5%	38.9%	36.9%	34.1%	30.3%	38.7%
99	36.1%	37.5%	35.4%	32%	28.6%	36.2%
98	34.2%	35.7%	33.5%	29.7%	26.6%	33.1%
97	32.8%	34.3%	32%	27.5%	24.7%	30.3%
96	31.3%	32.8%	30.5%	25.4%	23%	27.6%
95	29.7%	31.3%	28.9%	23.3%	21.3%	25.1%
94	28%	29.6%	27.1%	21.4%	19.8%	22.9%
93	26.3%	28%	25.5%	19.8%	18.4%	21%
92	24.8%	26.4%	23.9%	18.4%	17.2%	19.4%
91	23.1%	24.8%	22.2%	17.1%	16%	17.9%
90	22.1%	23.6%	21.2%	15.7%	14.9%	16.4%
89	20.4%	22%	19.5%	14.4%	13.8%	15%
88	19.2%	20.7%	18.3%	13.3%	12.7%	13.7%
87	17.9%	19.3%	17%	12.1%	11.7%	12.4%
86	16.7%	18.1%	15.9%	11%	10.8%	11.2%
85	15.5%	16.8%	14.7%	9.99%	9.9%	10.1%
84	14.4%	15.7%	13.6%	9.02%	9.09%	8.97%
83	13.2%	14.5%	12.4%	8.14%	8.34%	7.99%
82	12.2%	13.4%	11.4%	7.36%	7.65%	7.13%
81	11%	12.2%	10.3%	6.64%	7.02%	6.36%
80	10.3%	11.4%	9.62%	6%	6.44%	5.66%
79	9.4%	10.5%	8.71%	5.42%	5.9%	5.04%
78	8.69%	9.71%	8.04%	4.89%	5.41%	4.49%
77	7.9%	8.89%	7.28%	4.42%	4.96%	4%
76	7.28%	8.22%	6.7%	3.99%	4.55%	3.56%
75	6.69%	7.58%	6.14%	3.61%	4.17%	3.16%
74	6.1%	6.96%	5.58%	3.27%	3.83%	2.82%
73	5.56%	6.39%	5.07%	3%	3.53%	2.57%
72	5.1%	5.88%	4.63%	2.76%	3.26%	2.35%
71	4.57%	5.32%	4.12%	2.52%	2.99%	2.14%
70	4.26%	4.97%	3.84%	2.3%	2.74%	1.95%
69	3.82%	4.5%	3.4%	2.11%	2.52%	1.78%
68	3.51%	4.15%	3.11%	1.94%	2.32%	1.63%
67	3.2%	3.82%	2.82%	1.79%	2.14%	1.5%
66	2.94%	3.52%	2.57%	1.66%	2%	1.38%
65	2.73%	3.28%	2.37%	1.55%	1.87%	1.28%
64	2.51%	3.02%	2.16%	1.44%	1.76%	1.18%
63	2.31%	2.79%	1.97%	1.35%	1.66%	1.1%
62	2.13%	2.58%	1.8%	1.26%	1.56%	1.02%
61	1.94%	2.35%	1.62%	1.18%	1.46%	0.94%
60	1.82%	2.2%	1.52%	1.09%	1.37%	0.86%
59	1.65%	2.01%	1.36%	1.01%	1.28%	0.79%
58	1.53%	1.86%	1.26%	0.94%	1.19%	0.72%
57	1.41%	1.72%	1.15%	0.86%	1.1%	0.66%
56	1.32%	1.61%	1.08%	0.79%	1.02%	0.6%
55	1.24%	1.51%	1%	0.73%	0.95%	0.55%
54	1.16%	1.42%	0.94%	0.67%	0.88%	0.5%
53	1.09%	1.33%	0.88%	0.62%	0.82%	0.46%
52	1.03%	1.25%	0.83%	0.57%	0.76%	0.42%
51	0.94%	1.15%	0.76%	0.53%	0.71%	0.38%
50	0.9%	1.09%	0.72%	0.49%	0.67%	0.35%
49	0.83%	1.01%	0.66%	0.46%	0.63%	0.32%
48	0.77%	0.94%	0.62%	0.43%	0.59%	0.29%
47	0.72%	0.88%	0.58%	0.4%	0.56%	0.27%
46	0.68%	0.82%	0.54%	0.38%	0.53%	0.25%
45	0.65%	0.78%	0.52%	0.35%	0.51%	0.23%
44	0.61%	0.73%	0.49%	0.33%	0.48%	0.21%
43	0.57%	0.69%	0.46%	0.32%	0.46%	0.19%
42	0.55%	0.65%	0.45%	0.3%	0.44%	0.18%
41	0.51%	0.61%	0.42%	0.28%	0.42%	0.16%
40	0.49%	0.58%	0.4%	0.27%	0.4%	0.15%
39	0.46%	0.55%	0.38%	0.25%	0.38%	0.14%
38	0.44%	0.52%	0.36%	0.24%	0.36%	0.13%
37	0.41%	0.49%	0.34%	0.23%	0.35%	0.12%
36	0.39%	0.47%	0.32%	0.22%	0.33%	0.11%
35	0.37%	0.44%	0.31%	0.21%	0.32%	0.1%
34	0.36%	0.42%	0.29%	0.2%	0.31%	0.1%
33	0.34%	0.4%	0.28%	0.19%	0.3%	0.09%
32	0.32%	0.38%	0.27%	0.19%	0.3%	0.09%
31	0.31%	0.36%	0.25%	0.19%	0.29%	0.08%
30	0.3%	0.35%	0.24%	0.18%	0.29%	0.08%
29	0.28%	0.34%	0.23%	0.18%	0.29%	0.08%
28	0.28%	0.33%	0.22%	0.18%	0.28%	0.07%
27	0.27%	0.32%	0.22%	0.17%	0.27%	0.07%
26	0.26%	0.31%	0.21%	0.17%	0.26%	0.07%
25	0.25%	0.3%	0.2%	0.16%	0.25%	0.07%
24	0.24%	0.3%	0.19%	0.15%	0.24%	0.06%
23	0.24%	0.29%	0.18%	0.15%	0.23%	0.06%
22	0.23%	0.28%	0.18%	0.14%	0.22%	0.06%
21	0.22%	0.26%	0.17%	0.13%	0.21%	0.06%
20	0.21%	0.25%	0.16%	0.13%	0.19%	0.06%
19	0.19%	0.23%	0.15%	0.11%	0.17%	0.05%
18	0.18%	0.21%	0.14%	0.1%	0.15%	0.05%
17	0.16%	0.19%	0.13%	0.08%	0.12%	0.05%
16	0.14%	0.16%	0.12%	0.07%	0.09%	0.04%
15	0.13%	0.14%	0.11%	0.05%	0.07%	0.04%
14	0.12%	0.13%	0.1%	0.04%	0.05%	0.03%
13	0.11%	0.12%	0.1%	0.03%	0.04%	0.03%
12	0.1%	0.11%	0.09%	0.03%	0.03%	0.02%
11	0.1%	0.11%	0.09%	0.02%	0.02%	0.02%
10	0.11%	0.12%	0.09%	0.02%	0.02%	0.02%
9	0.11%	0.12%	0.1%	0.02%	0.02%	0.02%
8	0.12%	0.13%	0.11%	0.02%	0.02%	0.02%
7	0.14%	0.15%	0.13%	0.02%	0.02%	0.02%
6	0.17%	0.18%	0.15%	0.02%	0.02%	0.02%
5	0.2%	0.21%	0.19%	0.03%	0.03%	0.02%
4	0.26%	0.28%	0.25%	0.03%	0.03%	0.03%
3	0.37%	0.4%	0.35%	0.04%	0.04%	0.04%
2	0.54%	0.58%	0.5%	0.06%	0.06%	0.05%
1	0.88%	0.94%	0.83%	0.07%	0.08%	0.07%
0	4.65%	5.15%	4.15%	0.97%	1.09%	0.84%

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

The annual chance of dying is 4.65% in the birth year in Guinea-Bissau and 0.97% in Mexico, 0.3% vs 0.18% at age 30, 1.82% vs 1.09% at 60, and 10.3% vs 6% at 80.

Death rate by age in Guinea-Bissau vs Mexico

Chart Table

Guinea-Bissau

Male

Female

Mexico

Male

Female

1x

Age	Death rate
	Guinea-Bissau			Mexico
	Total	Male	Female	Total	Male	Female
100	10.5	0	24.3	355	384	320
99	98	57.6	136.6	601	576	620
98	141.4	85.4	194.6	791	729	847
97	201.5	124.9	273.7	1,010	902	1,112
96	279.6	177.9	375	1,249	1,089	1,404
95	377	246.6	499	1,496	1,282	1,703
94	493	331	643	1,751	1,483	2,012
93	631	435	810	2,017	1,692	2,333
92	791	558	1,001	2,295	1,909	2,673
91	959	695	1,195	2,568	2,119	3,006
90	1,173	865	1,447	2,804	2,307	3,290
89	1,366	1,035	1,657	3,013	2,476	3,538
88	1,587	1,228	1,900	3,189	2,622	3,744
87	1,803	1,424	2,129	3,318	2,737	3,887
86	2,022	1,627	2,357	3,392	2,821	3,950
85	2,219	1,819	2,554	3,413	2,877	3,936
84	2,407	2,014	2,732	3,389	2,905	3,857
83	2,545	2,169	2,850	3,330	2,909	3,735
82	2,671	2,318	2,955	3,248	2,890	3,590
81	2,719	2,409	2,966	3,142	2,851	3,417
80	2,842	2,546	3,078	3,017	2,794	3,225
79	2,853	2,605	3,052	2,881	2,723	3,026
78	2,888	2,674	3,064	2,737	2,640	2,821
77	2,852	2,688	2,994	2,586	2,547	2,616
76	2,832	2,707	2,950	2,433	2,445	2,413
75	2,789	2,702	2,883	2,281	2,338	2,216
74	2,710	2,666	2,774	2,137	2,231	2,036
73	2,618	2,614	2,655	2,018	2,133	1,899
72	2,527	2,557	2,542	1,911	2,035	1,784
71	2,375	2,444	2,361	1,794	1,926	1,661
70	2,313	2,399	2,287	1,676	1,814	1,539
69	2,152	2,277	2,096	1,570	1,709	1,433
68	2,051	2,193	1,979	1,471	1,612	1,333
67	1,934	2,096	1,843	1,381	1,524	1,241
66	1,830	2,002	1,725	1,302	1,449	1,161
65	1,748	1,928	1,631	1,232	1,383	1,087
64	1,645	1,832	1,517	1,168	1,323	1,020
63	1,551	1,740	1,414	1,108	1,267	957
62	1,463	1,651	1,319	1,049	1,212	895
61	1,354	1,541	1,204	990	1,154	834
60	1,297	1,477	1,147	930	1,095	774
59	1,195	1,374	1,041	870	1,035	716
58	1,127	1,299	974	812	974	660
57	1,055	1,223	903	755	914	606
56	1,002	1,164	854	700	856	555
55	949	1,106	803	649	801	509
54	903	1,054	760	602	750	466
53	854	1,000	715	559	703	427
52	812	952	680	519	660	392
51	755	890	627	484	621	360
50	724	853	602	451	587	331
49	673	794	555	423	555	304
48	635	748	523	396	527	280.2
47	596	702	489	373	502	257.7
46	565	663	465	351	478	236.9
45	540	633	445	331	457	217.6
44	510	597	422	312	437	199.9
43	486	566	403	295.7	419	183.7
42	467	543	389	280.2	401	169
41	438	509	364	265.9	384	155.7
40	423	492	353	252.7	368	143.7
39	399	463	332	240.5	353	132.7
38	381	442	318	229.1	339	122.9
37	360	420	300	218.3	326	114
36	345	401	287.1	208.4	314	106.1
35	329	383	273.7	199.9	303	99.2
34	313	364	260.9	192.8	294.5	93.3
33	299.4	348	249.4	187.2	287.8	88.3
32	287.1	334	238.9	183.1	283.1	84.2
31	272.8	318	226.6	180.2	279.8	80.9
30	265.8	309	221	177.9	277.4	78.2
29	254.6	297.3	210.8	175.4	274.4	75.6
28	247.1	288.9	204.1	172.2	270.1	73.1
27	239.2	281.1	196.1	168	263.9	70.6
26	232.7	275	189.2	162.8	255.8	68
25	226.7	269.7	182.4	156.8	246.2	65.3
24	220.9	264.6	175.9	150.4	235.9	62.7
23	214.4	258.3	169.1	144.3	225.9	60.3
22	207.1	250.3	162.5	138.2	215.6	58.3
21	198.1	239.1	155.7	131.4	204.1	56.3
20	187.7	225.3	148.9	123	189.5	54.3
19	175.7	208.8	141.4	111.7	169.5	51.8
18	162.7	190.8	133.7	97.4	144.5	48.6
17	147.6	170	124.3	81.4	116.8	44.6
16	133.3	150.2	115.7	65.4	89.8	40
15	118.9	131.9	105.5	51.4	67	35.2
14	108.2	118.9	97	40.1	49.3	30.4
13	100.2	109.3	90.8	31.7	37	26.2
12	95.9	104.1	87.3	25.8	28.9	22.6
11	94.7	102.7	86.4	21.8	23.7	19.8
10	97.5	106.1	88.5	19.4	20.8	18
9	103.7	113.1	93.9	18.2	19.5	16.9
8	114.4	124.3	104.1	17.9	19.2	16.5
7	130.9	141.4	119.9	18.6	20.2	17
6	154.2	165.3	142.6	21	22.8	19.1
5	187.5	199.5	175	25.3	27.5	23.1
4	247.5	262.6	231.7	32	34.4	29.5
3	349	371	327	41.5	44	38.8
2	511	542	480	55	57.5	52.4
1	843	888	797	73.6	75.6	71.6
0	4,655	5,152	4,147	969	1,091	843

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 85 in Mexico. The median age of death is 71.8 in Guinea-Bissau and 80.1 in Mexico, 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 Mexico more than their death rates.

Life expectancy in other countries

+ -

1x