Life Expectancy in Guinea-Bissau vs South Korea (1950-2026)

Life expectancy by current age

Chart Table

Guinea-Bissau

Male

Female

South Korea

Male

Female

1x

Current age, years	Total life expectancy, years
	Guinea-Bissau			South Korea
	Average	Male	Female	Average	Male	Female
100	102	101.9	102.1	102.8	102.1	102.9
99	101.1	101	101.2	102	101.3	102.1
98	100.2	100.1	100.3	101.2	100.4	101.3
97	99.3	99.2	99.4	100.5	99.6	100.6
96	98.4	98.3	98.5	99.7	98.8	99.8
95	97.6	97.4	97.6	99	98	99.1
94	96.7	96.6	96.8	98.3	97.2	98.5
93	95.9	95.7	95.9	97.6	96.5	97.8
92	95	94.9	95.1	96.9	95.7	97.2
91	94.2	94	94.3	96.2	95	96.6
90	93.4	93.2	93.5	95.6	94.4	96
89	92.6	92.4	92.7	95	93.7	95.5
88	91.8	91.6	92	94.4	93.1	95
87	91	90.8	91.2	93.9	92.5	94.5
86	90.3	90	90.4	93.3	91.9	94
85	89.5	89.3	89.7	92.8	91.3	93.6
84	88.8	88.5	89	92.4	90.8	93.2
83	88.1	87.8	88.3	91.9	90.3	92.8
82	87.4	87.1	87.7	91.5	89.8	92.4
81	86.8	86.4	87	91.1	89.3	92.1
80	86.1	85.7	86.4	90.7	88.9	91.7
79	85.5	85.1	85.8	90.3	88.5	91.4
78	84.9	84.4	85.2	89.9	88.1	91.1
77	84.3	83.8	84.7	89.6	87.7	90.9
76	83.7	83.2	84.1	89.3	87.3	90.6
75	83.2	82.6	83.6	89	87	90.4
74	82.7	82.1	83.1	88.7	86.7	90.2
73	82.2	81.5	82.6	88.5	86.4	90
72	81.7	81	82.1	88.3	86.1	89.9
71	81.2	80.5	81.7	88	85.9	89.7
70	80.7	80	81.3	87.8	85.6	89.6
69	80.3	79.5	80.9	87.6	85.3	89.4
68	79.9	79.1	80.5	87.4	85.1	89.3
67	79.5	78.6	80.1	87.2	84.8	89.1
66	79.1	78.2	79.8	87	84.6	89
65	78.7	77.8	79.4	86.8	84.4	88.9
64	78.4	77.4	79.1	86.7	84.2	88.8
63	78	77	78.8	86.5	84	88.7
62	77.7	76.6	78.5	86.4	83.8	88.7
61	77.4	76.3	78.2	86.3	83.7	88.6
60	77.1	75.9	78	86.2	83.5	88.5
59	76.8	75.6	77.7	86.1	83.4	88.5
58	76.5	75.3	77.5	86	83.3	88.4
57	76.3	75	77.2	85.9	83.1	88.4
56	76	74.7	77	85.8	83	88.4
55	75.7	74.4	76.8	85.8	82.9	88.3
54	75.5	74.1	76.6	85.7	82.8	88.3
53	75.2	73.8	76.4	85.6	82.8	88.3
52	75	73.5	76.2	85.6	82.7	88.2
51	74.8	73.3	76	85.5	82.6	88.2
50	74.6	73	75.8	85.5	82.5	88.2
49	74.4	72.8	75.6	85.4	82.5	88.1
48	74.2	72.6	75.5	85.4	82.4	88.1
47	74	72.4	75.3	85.4	82.4	88.1
46	73.8	72.1	75.1	85.3	82.3	88.1
45	73.6	71.9	75	85.3	82.3	88.1
44	73.4	71.7	74.8	85.2	82.2	88
43	73.3	71.5	74.7	85.2	82.2	88
42	73.1	71.4	74.6	85.2	82.2	88
41	72.9	71.2	74.4	85.2	82.1	88
40	72.8	71	74.3	85.1	82.1	88
39	72.6	70.8	74.2	85.1	82.1	88
38	72.5	70.7	74	85.1	82.1	87.9
37	72.3	70.5	73.9	85.1	82	87.9
36	72.2	70.3	73.8	85.1	82	87.9
35	72	70.2	73.7	85.1	82	87.9
34	71.9	70	73.5	85	82	87.9
33	71.8	69.9	73.4	85	82	87.9
32	71.7	69.7	73.3	85	82	87.9
31	71.5	69.6	73.2	85	82	87.9
30	71.4	69.5	73.1	85	81.9	87.9
29	71.3	69.3	73	85	81.9	87.8
28	71.2	69.2	72.9	85	81.9	87.8
27	71.1	69.1	72.8	85	81.9	87.8
26	70.9	68.9	72.7	85	81.9	87.8
25	70.8	68.8	72.6	85	81.9	87.8
24	70.7	68.7	72.5	85	81.9	87.8
23	70.6	68.5	72.4	84.9	81.9	87.8
22	70.5	68.4	72.4	84.9	81.9	87.8
21	70.4	68.3	72.3	84.9	81.9	87.8
20	70.3	68.2	72.2	84.9	81.8	87.8
19	70.2	68.1	72.1	84.9	81.8	87.8
18	70.1	68	72	84.9	81.8	87.8
17	70	67.9	72	84.9	81.8	87.8
16	69.9	67.8	71.9	84.9	81.8	87.8
15	69.9	67.7	71.8	84.9	81.8	87.8
14	69.8	67.6	71.8	84.9	81.8	87.8
13	69.7	67.6	71.7	84.9	81.8	87.8
12	69.7	67.5	71.7	84.9	81.8	87.7
11	69.6	67.4	71.6	84.9	81.8	87.7
10	69.6	67.4	71.5	84.9	81.8	87.7
9	69.5	67.3	71.5	84.9	81.8	87.7
8	69.4	67.2	71.4	84.9	81.8	87.7
7	69.3	67.1	71.3	84.9	81.8	87.7
6	69.2	67	71.2	84.9	81.8	87.7
5	69.1	66.9	71.1	84.8	81.8	87.7
4	68.9	66.7	70.9	84.8	81.8	87.7
3	68.7	66.5	70.7	84.8	81.7	87.7
2	68.3	66.1	70.4	84.8	81.7	87.7
1	67.7	65.5	69.8	84.8	81.7	87.7
0	64.6	62.1	66.9	84.6	81.6	87.5

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 85 in South Korea, rising to 78.7 and 86.8 at 65, and to 86.1 and 90.7 at 80 — higher than the 64.6 and 84.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Guinea-Bissau

Male

Female

South Korea

Male

Female

1x

Age	Survival probability
	Guinea-Bissau			South Korea
	Average	Male	Female	Average	Male	Female
100	0.17%	0.1%	0.25%	5.61%	1.7%	8.36%
99	0.27%	0.15%	0.39%	7.43%	2.54%	11%
98	0.41%	0.24%	0.58%	9.59%	3.68%	14%
97	0.61%	0.36%	0.85%	12.1%	5.15%	17.4%
96	0.89%	0.54%	1.23%	15%	6.99%	21.2%
95	1.27%	0.79%	1.73%	18.1%	9.22%	25.2%
94	1.76%	1.12%	2.37%	21.5%	11.8%	29.5%
93	2.4%	1.55%	3.18%	25.2%	14.8%	34%
92	3.19%	2.11%	4.18%	29.1%	18.2%	38.5%
91	4.14%	2.81%	5.38%	33%	21.7%	43%
90	5.32%	3.67%	6.82%	37.1%	25.6%	47.5%
89	6.68%	4.71%	8.48%	41.2%	29.5%	51.8%
88	8.27%	5.94%	10.4%	45.2%	33.6%	56%
87	10.1%	7.36%	12.5%	49.1%	37.6%	60%
86	12.1%	8.99%	14.9%	52.9%	41.7%	63.7%
85	14.3%	10.8%	17.4%	56.5%	45.6%	67.1%
84	16.7%	12.8%	20.2%	60%	49.4%	70.3%
83	19.3%	15%	23%	63.2%	53.1%	73.2%
82	21.9%	17.3%	26%	66.3%	56.7%	75.9%
81	24.7%	19.7%	28.9%	69.2%	60.1%	78.3%
80	27.5%	22.3%	32%	71.9%	63.3%	80.6%
79	30.4%	24.9%	35.1%	74.5%	66.4%	82.7%
78	33.2%	27.5%	38.1%	76.8%	69.2%	84.5%
77	36.1%	30.2%	41.1%	79%	71.8%	86.2%
76	38.9%	32.9%	44.1%	80.9%	74.2%	87.7%
75	41.7%	35.6%	46.9%	82.6%	76.4%	89%
74	44.4%	38.3%	49.7%	84.1%	78.3%	90.1%
73	47%	40.9%	52.4%	85.5%	80%	91.1%
72	49.6%	43.5%	54.9%	86.7%	81.6%	91.9%
71	51.9%	45.9%	57.3%	87.8%	83.1%	92.7%
70	54.3%	48.3%	59.6%	89%	84.6%	93.5%
69	56.4%	50.6%	61.7%	90%	86%	94.2%
68	58.5%	52.8%	63.6%	91%	87.3%	94.8%
67	60.4%	54.9%	65.5%	92%	88.6%	95.4%
66	62.2%	56.9%	67.2%	92.8%	89.8%	95.9%
65	64%	58.8%	68.8%	93.5%	90.8%	96.4%
64	65.6%	60.6%	70.4%	94.2%	91.7%	96.7%
63	67.2%	62.4%	71.8%	94.7%	92.5%	97%
62	68.6%	64%	73.1%	95.2%	93.3%	97.3%
61	70%	65.6%	74.3%	95.7%	93.9%	97.5%
60	71.3%	67.1%	75.4%	96.1%	94.5%	97.7%
59	72.5%	68.4%	76.5%	96.4%	95%	97.9%
58	73.6%	69.7%	77.5%	96.8%	95.5%	98.1%
57	74.7%	70.9%	78.4%	97%	95.9%	98.2%
56	75.7%	72.1%	79.2%	97.3%	96.3%	98.3%
55	76.6%	73.2%	80%	97.5%	96.7%	98.5%
54	77.5%	74.3%	80.8%	97.7%	97%	98.6%
53	78.4%	75.3%	81.5%	97.9%	97.3%	98.6%
52	79.2%	76.2%	82.2%	98.1%	97.5%	98.7%
51	79.9%	77.1%	82.8%	98.2%	97.7%	98.8%
50	80.7%	78%	83.4%	98.4%	97.9%	98.9%
49	81.3%	78.8%	84%	98.5%	98.1%	98.9%
48	82%	79.5%	84.5%	98.6%	98.3%	99%
47	82.6%	80.2%	85%	98.7%	98.4%	99.1%
46	83.1%	80.9%	85.4%	98.8%	98.6%	99.1%
45	83.7%	81.5%	85.9%	98.9%	98.7%	99.2%
44	84.2%	82.1%	86.3%	99%	98.8%	99.2%
43	84.7%	82.7%	86.7%	99.1%	98.9%	99.2%
42	85.1%	83.2%	87.1%	99.1%	99%	99.3%
41	85.6%	83.7%	87.5%	99.2%	99%	99.3%
40	86%	84.2%	87.8%	99.2%	99.1%	99.3%
39	86.4%	84.7%	88.1%	99.3%	99.2%	99.4%
38	86.8%	85.1%	88.5%	99.3%	99.2%	99.4%
37	87.1%	85.5%	88.8%	99.3%	99.3%	99.4%
36	87.5%	85.9%	89%	99.4%	99.3%	99.5%
35	87.8%	86.3%	89.3%	99.4%	99.3%	99.5%
34	88.1%	86.7%	89.6%	99.4%	99.4%	99.5%
33	88.4%	87%	89.8%	99.5%	99.4%	99.5%
32	88.7%	87.4%	90.1%	99.5%	99.4%	99.5%
31	89%	87.7%	90.3%	99.5%	99.4%	99.5%
30	89.2%	88%	90.5%	99.5%	99.5%	99.6%
29	89.5%	88.3%	90.7%	99.5%	99.5%	99.6%
28	89.7%	88.6%	90.9%	99.5%	99.5%	99.6%
27	90%	88.9%	91.1%	99.6%	99.5%	99.6%
26	90.2%	89.1%	91.3%	99.6%	99.5%	99.6%
25	90.4%	89.4%	91.5%	99.6%	99.5%	99.6%
24	90.7%	89.7%	91.7%	99.6%	99.6%	99.6%
23	90.9%	89.9%	91.8%	99.6%	99.6%	99.6%
22	91.1%	90.2%	92%	99.6%	99.6%	99.7%
21	91.3%	90.4%	92.2%	99.6%	99.6%	99.7%
20	91.5%	90.6%	92.3%	99.6%	99.6%	99.7%
19	91.6%	90.9%	92.5%	99.7%	99.6%	99.7%
18	91.8%	91%	92.6%	99.7%	99.6%	99.7%
17	92%	91.2%	92.7%	99.7%	99.7%	99.7%
16	92.1%	91.4%	92.8%	99.7%	99.7%	99.7%
15	92.2%	91.5%	92.9%	99.7%	99.7%	99.7%
14	92.3%	91.6%	93%	99.7%	99.7%	99.7%
13	92.4%	91.7%	93.1%	99.7%	99.7%	99.7%
12	92.5%	91.8%	93.2%	99.7%	99.7%	99.7%
11	92.6%	91.9%	93.3%	99.7%	99.7%	99.7%
10	92.7%	92%	93.4%	99.7%	99.7%	99.7%
9	92.8%	92.2%	93.5%	99.7%	99.7%	99.7%
8	92.9%	92.3%	93.6%	99.7%	99.7%	99.7%
7	93.1%	92.4%	93.7%	99.7%	99.7%	99.8%
6	93.2%	92.6%	93.8%	99.7%	99.7%	99.8%
5	93.4%	92.8%	94%	99.8%	99.7%	99.8%
4	93.6%	93%	94.2%	99.8%	99.8%	99.8%
3	94%	93.4%	94.6%	99.8%	99.8%	99.8%
2	94.5%	94%	95.1%	99.8%	99.8%	99.8%
1	95.3%	94.8%	95.9%	99.8%	99.8%	99.8%

This chart shows the odds of living to each age from birth. 71.3% of newborns in Guinea-Bissau and 96.1% in South Korea are expected to live past 60, 54.3% and 89% past 70, 27.5% and 71.9% past 80, and only 5.32% and 37.1% 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

South Korea

Male

Female

1x

Age	Probability of dying
	Guinea-Bissau			South Korea
	Average	Male	Female	Average	Male	Female
100	37.5%	38.9%	36.9%	26.2%	35.5%	25.5%
99	36.1%	37.5%	35.4%	24.5%	33.3%	23.7%
98	34.2%	35.7%	33.5%	22.6%	30.9%	21.6%
97	32.8%	34.3%	32%	20.8%	28.6%	19.7%
96	31.3%	32.8%	30.5%	19%	26.3%	17.8%
95	29.7%	31.3%	28.9%	17.4%	24.2%	16.1%
94	28%	29.6%	27.1%	15.9%	22.2%	14.5%
93	26.3%	28%	25.5%	14.6%	20.2%	13%
92	24.8%	26.4%	23.9%	13.3%	18.3%	11.7%
91	23.1%	24.8%	22.2%	12%	16.5%	10.5%
90	22.1%	23.6%	21.2%	10.9%	14.9%	9.42%
89	20.4%	22%	19.5%	9.87%	13.4%	8.4%
88	19.2%	20.7%	18.3%	8.91%	12.1%	7.47%
87	17.9%	19.3%	17%	8%	10.8%	6.61%
86	16.7%	18.1%	15.9%	7.17%	9.69%	5.83%
85	15.5%	16.8%	14.7%	6.42%	8.66%	5.13%
84	14.4%	15.7%	13.6%	5.75%	7.75%	4.52%
83	13.2%	14.5%	12.4%	5.15%	6.96%	3.98%
82	12.2%	13.4%	11.4%	4.63%	6.26%	3.52%
81	11%	12.2%	10.3%	4.18%	5.65%	3.13%
80	10.3%	11.4%	9.62%	3.79%	5.1%	2.8%
79	9.4%	10.5%	8.71%	3.42%	4.6%	2.5%
78	8.69%	9.71%	8.04%	3.07%	4.12%	2.22%
77	7.9%	8.89%	7.28%	2.72%	3.65%	1.95%
76	7.28%	8.22%	6.7%	2.38%	3.21%	1.69%
75	6.69%	7.58%	6.14%	2.07%	2.8%	1.44%
74	6.1%	6.96%	5.58%	1.8%	2.45%	1.23%
73	5.56%	6.39%	5.07%	1.58%	2.16%	1.06%
72	5.1%	5.88%	4.63%	1.41%	1.95%	0.94%
71	4.57%	5.32%	4.12%	1.31%	1.81%	0.86%
70	4.26%	4.97%	3.84%	1.25%	1.72%	0.81%
69	3.82%	4.5%	3.4%	1.19%	1.65%	0.76%
68	3.51%	4.15%	3.11%	1.11%	1.56%	0.69%
67	3.2%	3.82%	2.82%	1.02%	1.44%	0.62%
66	2.94%	3.52%	2.57%	0.9%	1.3%	0.53%
65	2.73%	3.28%	2.37%	0.78%	1.14%	0.44%
64	2.51%	3.02%	2.16%	0.68%	0.99%	0.37%
63	2.31%	2.79%	1.97%	0.59%	0.88%	0.31%
62	2.13%	2.58%	1.8%	0.53%	0.78%	0.27%
61	1.94%	2.35%	1.62%	0.46%	0.69%	0.24%
60	1.82%	2.2%	1.52%	0.41%	0.62%	0.21%
59	1.65%	2.01%	1.36%	0.37%	0.56%	0.19%
58	1.53%	1.86%	1.26%	0.33%	0.5%	0.17%
57	1.41%	1.72%	1.15%	0.3%	0.45%	0.15%
56	1.32%	1.61%	1.08%	0.27%	0.41%	0.13%
55	1.24%	1.51%	1%	0.24%	0.36%	0.11%
54	1.16%	1.42%	0.94%	0.21%	0.32%	0.1%
53	1.09%	1.33%	0.88%	0.19%	0.28%	0.09%
52	1.03%	1.25%	0.83%	0.17%	0.25%	0.08%
51	0.94%	1.15%	0.76%	0.15%	0.23%	0.08%
50	0.9%	1.09%	0.72%	0.14%	0.2%	0.07%
49	0.83%	1.01%	0.66%	0.13%	0.19%	0.07%
48	0.77%	0.94%	0.62%	0.12%	0.17%	0.06%
47	0.72%	0.88%	0.58%	0.11%	0.15%	0.06%
46	0.68%	0.82%	0.54%	0.09%	0.13%	0.05%
45	0.65%	0.78%	0.52%	0.09%	0.12%	0.05%
44	0.61%	0.73%	0.49%	0.08%	0.11%	0.04%
43	0.57%	0.69%	0.46%	0.07%	0.1%	0.04%
42	0.55%	0.65%	0.45%	0.06%	0.09%	0.04%
41	0.51%	0.61%	0.42%	0.06%	0.08%	0.03%
40	0.49%	0.58%	0.4%	0.05%	0.07%	0.03%
39	0.46%	0.55%	0.38%	0.05%	0.06%	0.03%
38	0.44%	0.52%	0.36%	0.04%	0.05%	0.03%
37	0.41%	0.49%	0.34%	0.04%	0.05%	0.03%
36	0.39%	0.47%	0.32%	0.03%	0.04%	0.02%
35	0.37%	0.44%	0.31%	0.03%	0.04%	0.02%
34	0.36%	0.42%	0.29%	0.03%	0.03%	0.02%
33	0.34%	0.4%	0.28%	0.02%	0.03%	0.02%
32	0.32%	0.38%	0.27%	0.02%	0.03%	0.02%
31	0.31%	0.36%	0.25%	0.02%	0.02%	0.02%
30	0.3%	0.35%	0.24%	0.02%	0.02%	0.01%
29	0.28%	0.34%	0.23%	0.02%	0.02%	0.01%
28	0.28%	0.33%	0.22%	0.02%	0.02%	0.01%
27	0.27%	0.32%	0.22%	0.01%	0.02%	0.01%
26	0.26%	0.31%	0.21%	0.01%	0.02%	0.01%
25	0.25%	0.3%	0.2%	0.01%	0.02%	0.01%
24	0.24%	0.3%	0.19%	0.01%	0.02%	0.01%
23	0.24%	0.29%	0.18%	0.01%	0.01%	0.01%
22	0.23%	0.28%	0.18%	0.01%	0.01%	0.01%
21	0.22%	0.26%	0.17%	0.01%	0.01%	0.01%
20	0.21%	0.25%	0.16%	0.01%	0.01%	0.01%
19	0.19%	0.23%	0.15%	0.01%	0.01%	0.009%
18	0.18%	0.21%	0.14%	0.01%	0.01%	0.008%
17	0.16%	0.19%	0.13%	0.009%	0.01%	0.007%
16	0.14%	0.16%	0.12%	0.008%	0.009%	0.006%
15	0.13%	0.14%	0.11%	0.007%	0.008%	0.006%
14	0.12%	0.13%	0.1%	0.006%	0.006%	0.005%
13	0.11%	0.12%	0.1%	0.005%	0.005%	0.005%
12	0.1%	0.11%	0.09%	0.005%	0.005%	0.004%
11	0.1%	0.11%	0.09%	0.005%	0.005%	0.004%
10	0.11%	0.12%	0.09%	0.005%	0.006%	0.005%
9	0.11%	0.12%	0.1%	0.006%	0.006%	0.006%
8	0.12%	0.13%	0.11%	0.007%	0.007%	0.006%
7	0.14%	0.15%	0.13%	0.007%	0.007%	0.007%
6	0.17%	0.18%	0.15%	0.008%	0.008%	0.008%
5	0.2%	0.21%	0.19%	0.009%	0.009%	0.009%
4	0.26%	0.28%	0.25%	0.01%	0.01%	0.01%
3	0.37%	0.4%	0.35%	0.01%	0.01%	0.01%
2	0.54%	0.58%	0.5%	0.01%	0.01%	0.02%
1	0.88%	0.94%	0.83%	0.02%	0.02%	0.02%
0	4.65%	5.15%	4.15%	0.19%	0.2%	0.17%

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

The annual chance of dying is 4.65% in the birth year in Guinea-Bissau and 0.19% in South Korea, 0.3% vs 0.02% at age 30, 1.82% vs 0.41% at 60, and 10.3% vs 3.79% at 80.

Death rate by age in Guinea-Bissau vs South Korea

Chart Table

Guinea-Bissau

Male

Female

South Korea

Male

Female

1x

Age	Death rate
	Guinea-Bissau			South Korea
	Total	Male	Female	Total	Male	Female
100	10.5	0	24.3	1,496	465	2,272
99	98	57.6	136.6	1,820	846	2,596
98	141.4	85.4	194.6	2,167	1,138	3,025
97	201.5	124.9	273.7	2,513	1,472	3,426
96	279.6	177.9	375	2,846	1,839	3,778
95	377	246.6	499	3,154	2,227	4,062
94	493	331	643	3,435	2,625	4,281
93	631	435	810	3,670	2,997	4,428
92	791	558	1,001	3,854	3,319	4,513
91	959	695	1,195	3,978	3,585	4,529
90	1,173	865	1,447	4,047	3,805	4,469
89	1,366	1,035	1,657	4,064	3,960	4,351
88	1,587	1,228	1,900	4,023	4,047	4,181
87	1,803	1,424	2,129	3,931	4,072	3,963
86	2,022	1,627	2,357	3,793	4,036	3,713
85	2,219	1,819	2,554	3,628	3,949	3,445
84	2,407	2,014	2,732	3,448	3,833	3,175
83	2,545	2,169	2,850	3,257	3,697	2,914
82	2,671	2,318	2,955	3,068	3,548	2,673
81	2,719	2,409	2,966	2,894	3,393	2,454
80	2,842	2,546	3,078	2,726	3,228	2,253
79	2,853	2,605	3,052	2,548	3,050	2,065
78	2,888	2,674	3,064	2,355	2,849	1,876
77	2,852	2,688	2,994	2,149	2,624	1,680
76	2,832	2,707	2,950	1,925	2,380	1,478
75	2,789	2,702	2,883	1,706	2,136	1,283
74	2,710	2,666	2,774	1,512	1,917	1,112
73	2,618	2,614	2,655	1,347	1,729	968
72	2,527	2,557	2,542	1,225	1,589	862
71	2,375	2,444	2,361	1,153	1,507	801
70	2,313	2,399	2,287	1,109	1,458	760
69	2,152	2,277	2,096	1,068	1,416	712
68	2,051	2,193	1,979	1,012	1,359	656
67	1,934	2,096	1,843	936	1,279	588
66	1,830	2,002	1,725	837	1,167	507
65	1,748	1,928	1,631	730	1,035	424
64	1,645	1,832	1,517	636	909	354
63	1,551	1,740	1,414	563	810	305
62	1,463	1,651	1,319	501	727	266.7
61	1,354	1,541	1,204	443	649	231.4
60	1,297	1,477	1,147	398	585	204.3
59	1,195	1,374	1,041	359	531	182.7
58	1,127	1,299	974	322	481	162.3
57	1,055	1,223	903	290	435	143.6
56	1,002	1,164	854	260.8	391	126.9
55	949	1,106	803	232.6	349	111.9
54	903	1,054	760	206.2	309	98.8
53	854	1,000	715	182.4	273	88.5
52	812	952	680	164.8	244.9	82.1
51	755	890	627	151	221.8	77.5
50	724	853	602	137.9	200.6	72.6
49	673	794	555	126.7	182.6	68.3
48	635	748	523	116.1	166	63.9
47	596	702	489	104.4	148.4	58.3
46	565	663	465	93.1	131.9	52.6
45	540	633	445	84.3	118.5	48.1
44	510	597	422	76.2	106.4	44
43	486	566	403	68.6	95.3	40.2
42	467	543	389	61.9	85.1	37
41	438	509	364	55.8	75.6	34.2
40	423	492	353	50.2	66.9	31.8
39	399	463	332	44.8	58.7	29.5
38	381	442	318	40.1	51.5	27.4
37	360	420	300	36.1	45.3	25.6
36	345	401	287.1	32.3	39.8	23.6
35	329	383	273.7	28.9	35.1	21.7
34	313	364	260.9	26	31.3	20
33	299.4	348	249.4	23.6	28.1	18.4
32	287.1	334	238.9	21.5	25.4	16.9
31	272.8	318	226.6	19.7	23.3	15.6
30	265.8	309	221	18.2	21.5	14.5
29	254.6	297.3	210.8	16.8	19.9	13.4
28	247.1	288.9	204.1	15.6	18.5	12.5
27	239.2	281.1	196.1	14.6	17.3	11.8
26	232.7	275	189.2	13.8	16.2	11.2
25	226.7	269.7	182.4	13.2	15.4	10.8
24	220.9	264.6	175.9	12.8	14.9	10.5
23	214.4	258.3	169.1	12.6	14.8	10.3
22	207.1	250.3	162.5	12.5	14.7	10.1
21	198.1	239.1	155.7	12.4	14.7	9.89
20	187.7	225.3	148.9	12.1	14.4	9.53
19	175.7	208.8	141.4	11.5	13.8	9.02
18	162.7	190.8	133.7	10.5	12.6	8.27
17	147.6	170	124.3	9.2	10.9	7.37
16	133.3	150.2	115.7	7.83	9.14	6.44
15	118.9	131.9	105.5	6.59	7.52	5.6
14	108.2	118.9	97	5.61	6.25	4.94
13	100.2	109.3	90.8	5.01	5.45	4.54
12	95.9	104.1	87.3	4.72	5.06	4.37
11	94.7	102.7	86.4	4.77	5.05	4.47
10	97.5	106.1	88.5	5.33	5.63	5.02
9	103.7	113.1	93.9	6.1	6.42	5.75
8	114.4	124.3	104.1	6.71	7.03	6.38
7	130.9	141.4	119.9	7.2	7.46	6.92
6	154.2	165.3	142.6	7.76	7.93	7.57
5	187.5	199.5	175	8.61	8.68	8.54
4	247.5	262.6	231.7	9.92	9.86	9.98
3	349	371	327	11.9	11.7	12.1
2	511	542	480	14.9	14.5	15.2
1	843	888	797	19.6	19.2	20.2
0	4,655	5,152	4,147	189.5	203.7	174.6

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 89 in South Korea. The median age of death is 71.8 in Guinea-Bissau and 86.8 in South Korea, 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 South Korea more than their death rates.

Life expectancy in other countries

+ -

1x