Life Expectancy in Guinea-Bissau vs Thailand (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 Thailand: 71.3 years vs 78.9 at 30, 78.7 vs 84.6 at 65, 86.1 vs 89.7 at 80 — significantly higher than the 64.4 vs 76.8 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 Thailand.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Thailand
	Average	Male	Female	Average	Male	Female
0	64.4	62	66.7	76.8	72.6	81.2
1	67.6	65.4	69.7	77.4	73.3	81.7
2	68.2	66	70.2	77.5	73.3	81.8
3	68.6	66.4	70.6	77.5	73.4	81.8
4	68.8	66.6	70.8	77.6	73.4	81.9
5	69	66.8	71	77.6	73.4	81.9
6	69.1	66.9	71.1	77.6	73.5	81.9
7	69.2	67	71.2	77.6	73.5	81.9
8	69.3	67.1	71.3	77.7	73.5	81.9
9	69.4	67.2	71.4	77.7	73.5	82
10	69.5	67.3	71.4	77.7	73.6	82
11	69.5	67.3	71.5	77.7	73.6	82
12	69.6	67.4	71.6	77.7	73.6	82
13	69.6	67.5	71.6	77.8	73.6	82.1
14	69.7	67.5	71.7	77.8	73.7	82.1
15	69.8	67.6	71.7	77.9	73.7	82.1
16	69.8	67.7	71.8	77.9	73.8	82.1
17	69.9	67.8	71.9	78	73.9	82.2
18	70	67.9	71.9	78	74	82.2
19	70.1	68	72	78.1	74.1	82.2
20	70.2	68.1	72.1	78.2	74.2	82.3
21	70.3	68.2	72.2	78.3	74.3	82.3
22	70.4	68.3	72.3	78.3	74.4	82.4
23	70.5	68.5	72.4	78.4	74.5	82.4
24	70.6	68.6	72.5	78.5	74.6	82.4
25	70.7	68.7	72.5	78.5	74.7	82.5
26	70.9	68.8	72.6	78.6	74.8	82.5
27	71	69	72.7	78.7	74.9	82.5
28	71.1	69.1	72.8	78.8	75	82.6
29	71.2	69.2	72.9	78.8	75.1	82.6
30	71.3	69.4	73	78.9	75.2	82.7
31	71.5	69.5	73.2	79	75.3	82.7
32	71.6	69.7	73.3	79.1	75.4	82.7
33	71.7	69.8	73.4	79.2	75.5	82.8
34	71.8	70	73.5	79.2	75.7	82.8
35	72	70.1	73.6	79.3	75.8	82.9
36	72.1	70.3	73.7	79.4	75.9	82.9
37	72.3	70.4	73.8	79.5	76.1	83
38	72.4	70.6	74	79.7	76.2	83.1
39	72.6	70.8	74.1	79.8	76.4	83.2
40	72.7	70.9	74.2	79.9	76.6	83.2
41	72.9	71.1	74.4	80.1	76.8	83.3
42	73	71.3	74.5	80.2	77	83.4
43	73.2	71.5	74.6	80.4	77.2	83.5
44	73.4	71.7	74.8	80.5	77.4	83.6
45	73.6	71.9	74.9	80.7	77.6	83.7
46	73.7	72.1	75.1	80.8	77.8	83.8
47	73.9	72.3	75.3	81	78.1	83.9
48	74.1	72.5	75.4	81.2	78.3	84
49	74.3	72.8	75.6	81.4	78.5	84.1
50	74.5	73	75.8	81.5	78.7	84.2
51	74.8	73.2	76	81.7	79	84.3
52	75	73.5	76.1	81.9	79.2	84.4
53	75.2	73.8	76.3	82.1	79.5	84.6
54	75.5	74	76.5	82.3	79.7	84.7
55	75.7	74.3	76.8	82.5	80	84.8
56	76	74.6	77	82.7	80.2	85
57	76.2	74.9	77.2	82.9	80.5	85.1
58	76.5	75.2	77.4	83.1	80.7	85.2
59	76.8	75.5	77.7	83.3	81	85.4
60	77.1	75.9	77.9	83.5	81.3	85.5
61	77.4	76.2	78.2	83.7	81.5	85.7
62	77.7	76.6	78.5	83.9	81.8	85.9
63	78	77	78.8	84.2	82.1	86
64	78.4	77.3	79.1	84.4	82.4	86.2
65	78.7	77.7	79.4	84.6	82.7	86.3
66	79.1	78.2	79.7	84.9	83	86.5
67	79.5	78.6	80.1	85.1	83.3	86.7
68	79.9	79	80.5	85.4	83.7	86.9
69	80.3	79.5	80.8	85.7	84	87.1
70	80.7	80	81.2	86	84.4	87.3
71	81.2	80.5	81.7	86.3	84.8	87.5
72	81.6	81	82.1	86.6	85.2	87.8
73	82.1	81.5	82.6	86.9	85.6	88
74	82.6	82	83.1	87.3	86	88.3
75	83.2	82.6	83.6	87.6	86.4	88.6
76	83.7	83.2	84.1	88	86.9	88.9
77	84.3	83.8	84.6	88.4	87.3	89.2
78	84.9	84.4	85.2	88.8	87.8	89.6
79	85.5	85.1	85.8	89.2	88.3	89.9
80	86.1	85.7	86.4	89.7	88.8	90.3
81	86.8	86.4	87	90.2	89.4	90.7
82	87.4	87.1	87.7	90.7	89.9	91.2
83	88.1	87.8	88.3	91.2	90.5	91.6
84	88.8	88.5	89	91.7	91.1	92.1
85	89.5	89.2	89.7	92.3	91.7	92.6
86	90.3	90	90.4	92.8	92.3	93.1
87	91	90.8	91.2	93.4	93	93.7
88	91.8	91.6	91.9	94	93.6	94.3
89	92.6	92.4	92.7	94.7	94.3	94.9
90	93.4	93.2	93.5	95.3	95	95.5
91	94.2	94	94.3	96	95.7	96.2
92	95	94.9	95.1	96.7	96.4	96.9
93	95.9	95.7	95.9	97.4	97.2	97.5
94	96.7	96.6	96.8	98.1	97.9	98.2
95	97.6	97.4	97.6	98.9	98.7	99
96	98.4	98.3	98.5	99.6	99.4	99.7
97	99.3	99.2	99.4	100.4	100.2	100.5
98	100.2	100.1	100.3	101.2	101	101.3
99	101.1	101	101.2	102	101.8	102.2
100	102	101.9	102.1	102.9	102.6	103.1

Odds of living to age in Guinea-Bissau vs Thailand

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71% in Guinea-Bissau and 84% in Thailand are expected to survive till at least 60 years old, 54% and 73.9% will live to 70 years or older, 27.3% and 54.5% to 80+ years, and 5.25% and 24.4% 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			Thailand
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.8%	99.2%	99.1%	99.3%
2	94.4%	93.9%	95%	99.2%	99.1%	99.3%
3	93.9%	93.3%	94.5%	99.1%	99%	99.2%
4	93.5%	92.9%	94.1%	99.1%	99%	99.2%
5	93.3%	92.7%	93.9%	99%	98.9%	99.1%
6	93.1%	92.5%	93.7%	99%	98.9%	99.1%
7	92.9%	92.3%	93.6%	98.9%	98.8%	99.1%
8	92.8%	92.2%	93.4%	98.9%	98.8%	99%
9	92.7%	92%	93.3%	98.9%	98.8%	99%
10	92.6%	91.9%	93.2%	98.9%	98.7%	99%
11	92.5%	91.8%	93.2%	98.8%	98.7%	99%
12	92.4%	91.7%	93.1%	98.8%	98.6%	98.9%
13	92.3%	91.6%	93%	98.7%	98.6%	98.9%
14	92.2%	91.5%	92.9%	98.7%	98.5%	98.9%
15	92.1%	91.4%	92.8%	98.6%	98.4%	98.8%
16	92%	91.2%	92.7%	98.5%	98.3%	98.8%
17	91.8%	91.1%	92.6%	98.4%	98.2%	98.7%
18	91.7%	90.9%	92.4%	98.3%	98%	98.7%
19	91.5%	90.7%	92.3%	98.2%	97.8%	98.6%
20	91.3%	90.5%	92.2%	98.1%	97.6%	98.5%
21	91.1%	90.3%	92%	97.9%	97.4%	98.5%
22	90.9%	90%	91.8%	97.8%	97.2%	98.4%
23	90.7%	89.8%	91.7%	97.7%	97.1%	98.4%
24	90.5%	89.5%	91.5%	97.6%	96.9%	98.3%
25	90.3%	89.3%	91.3%	97.5%	96.7%	98.2%
26	90.1%	89%	91.1%	97.3%	96.5%	98.2%
27	89.8%	88.7%	91%	97.2%	96.3%	98.1%
28	89.6%	88.4%	90.8%	97.1%	96.1%	98.1%
29	89.3%	88.1%	90.5%	96.9%	95.9%	98%
30	89.1%	87.8%	90.3%	96.8%	95.7%	97.9%
31	88.8%	87.5%	90.1%	96.6%	95.4%	97.8%
32	88.5%	87.2%	89.9%	96.4%	95.2%	97.7%
33	88.2%	86.9%	89.6%	96.3%	94.9%	97.7%
34	87.9%	86.5%	89.4%	96.1%	94.7%	97.6%
35	87.6%	86.1%	89.1%	95.9%	94.4%	97.4%
36	87.3%	85.8%	88.8%	95.6%	94.1%	97.3%
37	86.9%	85.4%	88.5%	95.4%	93.7%	97.2%
38	86.6%	84.9%	88.2%	95.1%	93.3%	97.1%
39	86.2%	84.5%	87.9%	94.9%	92.9%	96.9%
40	85.8%	84%	87.6%	94.5%	92.5%	96.7%
41	85.4%	83.5%	87.2%	94.2%	92%	96.6%
42	84.9%	83%	86.9%	93.8%	91.4%	96.4%
43	84.4%	82.5%	86.5%	93.5%	90.9%	96.2%
44	84%	81.9%	86.1%	93.1%	90.3%	95.9%
45	83.4%	81.3%	85.6%	92.7%	89.7%	95.7%
46	82.9%	80.7%	85.2%	92.2%	89.1%	95.5%
47	82.3%	80%	84.7%	91.8%	88.5%	95.2%
48	81.7%	79.3%	84.2%	91.3%	87.8%	94.9%
49	81.1%	78.5%	83.7%	90.8%	87.2%	94.6%
50	80.4%	77.7%	83.1%	90.3%	86.5%	94.3%
51	79.7%	76.9%	82.5%	89.8%	85.8%	94%
52	78.9%	76%	81.9%	89.3%	85%	93.6%
53	78.1%	75%	81.2%	88.7%	84.3%	93.3%
54	77.3%	74%	80.5%	88.1%	83.5%	92.9%
55	76.3%	73%	79.7%	87.5%	82.7%	92.5%
56	75.4%	71.8%	78.9%	86.9%	81.8%	92%
57	74.4%	70.7%	78.1%	86.2%	81%	91.6%
58	73.3%	69.5%	77.2%	85.5%	80%	91.1%
59	72.2%	68.2%	76.2%	84.8%	79.1%	90.6%
60	71%	66.8%	75.2%	84%	78.1%	90.1%
61	69.7%	65.3%	74%	83.2%	77.1%	89.5%
62	68.4%	63.8%	72.8%	82.4%	76%	89%
63	66.9%	62.1%	71.5%	81.5%	74.9%	88.4%
64	65.3%	60.4%	70.1%	80.6%	73.7%	87.7%
65	63.7%	58.5%	68.5%	79.7%	72.5%	87%
66	62%	56.6%	66.9%	78.7%	71.2%	86.3%
67	60.1%	54.6%	65.2%	77.6%	69.9%	85.6%
68	58.2%	52.5%	63.3%	76.5%	68.5%	84.8%
69	56.1%	50.3%	61.4%	75.2%	66.9%	83.8%
70	54%	48%	59.3%	73.9%	65.2%	82.8%
71	51.7%	45.6%	57%	72.4%	63.5%	81.7%
72	49.3%	43.2%	54.6%	70.9%	61.6%	80.4%
73	46.8%	40.7%	52.1%	69.3%	59.7%	79.1%
74	44.2%	38%	49.4%	67.5%	57.7%	77.7%
75	41.5%	35.4%	46.7%	65.7%	55.7%	76.1%
76	38.7%	32.7%	43.8%	63.8%	53.5%	74.4%
77	35.8%	30%	40.9%	61.7%	51.2%	72.5%
78	33%	27.3%	37.9%	59.4%	48.8%	70.4%
79	30.1%	24.7%	34.8%	57%	46.3%	68.2%
80	27.3%	22.1%	31.8%	54.5%	43.7%	65.7%
81	24.4%	19.5%	28.7%	51.8%	41%	63%
82	21.7%	17.1%	25.8%	49%	38.3%	60.2%
83	19.1%	14.8%	22.8%	46.1%	35.6%	57.2%
84	16.6%	12.7%	20%	43.1%	32.8%	54%
85	14.2%	10.7%	17.3%	40.1%	30%	50.6%
86	12%	8.89%	14.7%	36.9%	27.3%	47%
87	9.97%	7.28%	12.4%	33.8%	24.6%	43.4%
88	8.18%	5.87%	10.3%	30.6%	22%	39.7%
89	6.61%	4.65%	8.4%	27.4%	19.4%	35.9%
90	5.25%	3.63%	6.76%	24.4%	17%	32.1%
91	4.09%	2.77%	5.32%	21.4%	14.7%	28.4%
92	3.15%	2.08%	4.14%	18.5%	12.5%	24.9%
93	2.36%	1.53%	3.15%	15.9%	10.5%	21.5%
94	1.74%	1.1%	2.34%	13.4%	8.77%	18.3%
95	1.25%	0.78%	1.71%	11.1%	7.18%	15.3%
96	0.88%	0.53%	1.21%	9.09%	5.78%	12.6%
97	0.61%	0.36%	0.84%	7.27%	4.56%	10.1%
98	0.41%	0.24%	0.57%	5.69%	3.53%	7.98%
99	0.27%	0.15%	0.38%	4.35%	2.67%	6.14%
100	0.17%	0.09%	0.25%	3.24%	1.98%	4.59%

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 0.78% in Thailand, 0.3% vs 0.16% at age 30, 1.83% vs 0.95% at 60, and 10.4% vs 4.9% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Thailand
	Average	Male	Female	Average	Male	Female
0	4.74%	5.23%	4.23%	0.78%	0.87%	0.68%
1	0.9%	0.95%	0.85%	0.07%	0.06%	0.07%
2	0.55%	0.58%	0.52%	0.06%	0.06%	0.05%
3	0.38%	0.4%	0.35%	0.05%	0.05%	0.04%
4	0.27%	0.29%	0.25%	0.04%	0.04%	0.04%
5	0.2%	0.22%	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%	0.04%	0.03%
8	0.13%	0.14%	0.11%	0.03%	0.04%	0.03%
9	0.11%	0.12%	0.1%	0.03%	0.04%	0.03%
10	0.11%	0.12%	0.1%	0.03%	0.04%	0.03%
11	0.1%	0.11%	0.09%	0.04%	0.05%	0.03%
12	0.11%	0.11%	0.1%	0.05%	0.06%	0.03%
13	0.11%	0.12%	0.1%	0.06%	0.07%	0.04%
14	0.12%	0.13%	0.11%	0.07%	0.09%	0.04%
15	0.13%	0.15%	0.12%	0.08%	0.12%	0.05%
16	0.15%	0.17%	0.13%	0.1%	0.15%	0.05%
17	0.16%	0.19%	0.14%	0.12%	0.18%	0.06%
18	0.18%	0.21%	0.15%	0.13%	0.19%	0.06%
19	0.19%	0.23%	0.16%	0.13%	0.2%	0.06%
20	0.21%	0.25%	0.16%	0.13%	0.2%	0.06%
21	0.22%	0.27%	0.17%	0.13%	0.19%	0.06%
22	0.23%	0.28%	0.18%	0.12%	0.18%	0.06%
23	0.24%	0.29%	0.19%	0.12%	0.18%	0.06%
24	0.25%	0.3%	0.2%	0.12%	0.18%	0.06%
25	0.25%	0.31%	0.2%	0.13%	0.19%	0.06%
26	0.26%	0.31%	0.21%	0.14%	0.2%	0.07%
27	0.27%	0.32%	0.22%	0.14%	0.21%	0.07%
28	0.28%	0.33%	0.23%	0.15%	0.22%	0.07%
29	0.29%	0.34%	0.24%	0.16%	0.23%	0.08%
30	0.3%	0.36%	0.25%	0.16%	0.24%	0.08%
31	0.31%	0.37%	0.26%	0.17%	0.26%	0.09%
32	0.33%	0.39%	0.27%	0.18%	0.27%	0.09%
33	0.34%	0.41%	0.28%	0.19%	0.29%	0.1%
34	0.36%	0.42%	0.3%	0.21%	0.31%	0.11%
35	0.38%	0.45%	0.31%	0.23%	0.34%	0.12%
36	0.4%	0.47%	0.33%	0.25%	0.37%	0.13%
37	0.42%	0.5%	0.34%	0.28%	0.41%	0.15%
38	0.44%	0.53%	0.36%	0.3%	0.45%	0.16%
39	0.47%	0.55%	0.38%	0.33%	0.49%	0.17%
40	0.5%	0.59%	0.41%	0.35%	0.53%	0.19%
41	0.52%	0.61%	0.42%	0.38%	0.56%	0.2%
42	0.55%	0.66%	0.45%	0.4%	0.6%	0.21%
43	0.58%	0.69%	0.47%	0.42%	0.63%	0.22%
44	0.61%	0.73%	0.49%	0.44%	0.66%	0.24%
45	0.65%	0.78%	0.52%	0.46%	0.68%	0.25%
46	0.69%	0.83%	0.55%	0.48%	0.71%	0.27%
47	0.73%	0.88%	0.58%	0.5%	0.73%	0.29%
48	0.78%	0.95%	0.63%	0.53%	0.76%	0.31%
49	0.83%	1.02%	0.67%	0.55%	0.79%	0.33%
50	0.91%	1.1%	0.73%	0.58%	0.83%	0.35%
51	0.95%	1.16%	0.76%	0.61%	0.86%	0.38%
52	1.03%	1.26%	0.83%	0.64%	0.9%	0.4%
53	1.1%	1.34%	0.88%	0.66%	0.93%	0.42%
54	1.17%	1.43%	0.95%	0.69%	0.97%	0.44%
55	1.25%	1.52%	1.01%	0.73%	1.02%	0.47%
56	1.33%	1.63%	1.09%	0.77%	1.08%	0.49%
57	1.42%	1.73%	1.16%	0.81%	1.13%	0.52%
58	1.54%	1.88%	1.27%	0.85%	1.19%	0.55%
59	1.66%	2.02%	1.37%	0.89%	1.26%	0.58%
60	1.83%	2.22%	1.53%	0.95%	1.33%	0.61%
61	1.94%	2.36%	1.63%	1%	1.4%	0.65%
62	2.14%	2.59%	1.81%	1.05%	1.47%	0.68%
63	2.32%	2.8%	1.98%	1.12%	1.56%	0.72%
64	2.52%	3.04%	2.17%	1.18%	1.65%	0.77%
65	2.74%	3.29%	2.38%	1.23%	1.72%	0.8%
66	2.95%	3.54%	2.58%	1.32%	1.85%	0.86%
67	3.21%	3.84%	2.83%	1.48%	2.06%	0.98%
68	3.52%	4.17%	3.12%	1.65%	2.29%	1.11%
69	3.83%	4.52%	3.41%	1.82%	2.51%	1.24%
70	4.28%	4.99%	3.85%	1.97%	2.7%	1.37%
71	4.59%	5.34%	4.14%	2.12%	2.89%	1.49%
72	5.12%	5.9%	4.65%	2.28%	3.09%	1.64%
73	5.59%	6.41%	5.09%	2.48%	3.32%	1.81%
74	6.13%	6.99%	5.6%	2.71%	3.6%	2.01%
75	6.72%	7.61%	6.16%	2.98%	3.92%	2.26%
76	7.31%	8.25%	6.72%	3.3%	4.29%	2.54%
77	7.94%	8.92%	7.3%	3.65%	4.7%	2.87%
78	8.73%	9.74%	8.06%	4.04%	5.14%	3.23%
79	9.44%	10.5%	8.73%	4.45%	5.61%	3.62%
80	10.4%	11.5%	9.64%	4.9%	6.09%	4.05%
81	11.1%	12.3%	10.3%	5.38%	6.61%	4.52%
82	12.2%	13.4%	11.4%	5.9%	7.16%	5.03%
83	13.2%	14.5%	12.4%	6.47%	7.76%	5.61%
84	14.4%	15.7%	13.6%	7.11%	8.41%	6.26%
85	15.5%	16.9%	14.7%	7.81%	9.12%	6.98%
86	16.7%	18.1%	15.9%	8.58%	9.88%	7.76%
87	17.9%	19.4%	17%	9.41%	10.7%	8.61%
88	19.2%	20.7%	18.3%	10.3%	11.6%	9.52%
89	20.5%	22%	19.6%	11.2%	12.6%	10.5%
90	22.1%	23.6%	21.2%	12.2%	13.6%	11.5%
91	23.2%	24.8%	22.3%	13.3%	14.7%	12.6%
92	24.8%	26.5%	24%	14.4%	15.8%	13.7%
93	26.4%	28%	25.5%	15.6%	16.9%	14.9%
94	28%	29.6%	27.1%	16.9%	18.1%	16.2%
95	29.7%	31.3%	28.9%	18.4%	19.5%	17.8%
96	31.3%	32.8%	30.5%	20%	21%	19.5%
97	32.8%	34.3%	32.1%	21.7%	22.6%	21.2%
98	34.3%	35.7%	33.5%	23.5%	24.3%	23.1%
99	36.1%	37.5%	35.4%	25.5%	26.1%	25.2%
100	37.6%	38.9%	36.9%	27.2%	27.6%	26.9%

Death rate by age in Guinea-Bissau compared to Thailand

In Guinea-Bissau, the most common age of death is 0, compared to 87 in Thailand. The median age of death is 71.7 in Guinea-Bissau and 81.6 in Thailand — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Thailand
	Total	Male	Female	Total	Male	Female
0	4,736	5,229	4,234	777	867	681
1	859	901	814	64.9	63.5	66.5
2	520	549	489	54.7	55.9	53.4
3	355	376	333	46.5	49.5	43.3
4	250.9	265.4	235.9	40.2	44.3	35.8
5	190	201.4	178.1	35.5	40.2	30.5
6	156.3	167	145.2	32.4	37.3	27.1
7	132.7	142.9	122	30.8	35.8	25.4
8	116	125.7	106	30.6	35.8	25.1
9	105.2	114.4	95.6	31.7	37.2	25.9
10	99	107.5	90.1	34.1	40.3	27.6
11	96.1	104	88	38.4	46	30.3
12	97.3	105.4	88.9	45	55.4	33.9
13	101.8	110.7	92.5	54.4	69.7	38.2
14	109.8	120.5	98.8	67.1	89.9	43
15	120.7	133.5	107.4	82.9	116.1	47.7
16	135.3	152.1	117.9	99.9	145.1	51.9
17	149.7	172.1	126.6	115.2	171.9	55.1
18	165	193.1	136.1	125.2	189.3	57.1
19	178.2	211.3	144	128.9	195.8	58
20	190.3	227.9	151.5	127.2	192.5	58.2
21	200.8	241.9	158.4	123.5	185.4	58.1
22	209.9	253.2	165.3	120.3	179	58.2
23	217.3	261.3	172	119.4	176.4	58.9
24	223.9	267.7	178.9	121.3	178.5	60.3
25	229.8	272.8	185.5	125.8	185	62.4
26	235.8	278.2	192.3	131.9	194.4	65
27	242.4	284.3	199.3	138.7	205	68.1
28	250.3	292.1	207.3	145.5	215.4	71.4
29	257.8	301	214	152.1	225.1	75.2
30	269.2	313	224.4	158.7	234.4	79.5
31	276.2	321	230	166.2	244.6	84.6
32	290.6	338	242.4	175.6	257.2	91
33	303	352	252.9	187.5	273.4	98.7
34	317	367	264.6	202.8	294.2	108
35	333	387	277.5	221.2	320	118.7
36	348	405	291	242	349	130.5
37	364	424	304	264.8	382	142.8
38	385	447	322	288.7	417	155.3
39	403	467	336	312	453	167.4
40	428	496	357	335	487	179.3
41	442	514	368	357	519	190.9
42	471	547	392	378	547	202.7
43	490	571	407	396	572	215
44	514	601	425	413	593	228.1
45	544	638	448	430	611	242.4
46	568	668	469	446	629	258
47	599	707	493	463	648	275
48	638	753	527	482	668	293.4
49	676	799	559	502	690	313
50	728	857	606	524	714	333
51	759	894	631	547	739	353
52	816	956	683	568	763	373
53	857	1,004	719	590	786	393
54	906	1,058	764	611	810	412
55	952	1,109	806	637	842	432
56	1,005	1,168	857	667	880	453
57	1,057	1,226	906	697	917	475
58	1,128	1,302	977	727	954	498
59	1,196	1,377	1,044	758	993	522
60	1,297	1,480	1,150	795	1,036	550
61	1,353	1,543	1,206	831	1,079	578
62	1,461	1,652	1,321	865	1,119	604
63	1,550	1,741	1,415	909	1,170	639
64	1,644	1,832	1,518	950	1,217	672
65	1,746	1,928	1,632	979	1,250	697
66	1,828	2,001	1,725	1,036	1,315	744
67	1,933	2,094	1,843	1,146	1,441	836
68	2,050	2,191	1,978	1,263	1,570	940
69	2,151	2,274	2,094	1,366	1,678	1,039
70	2,312	2,395	2,285	1,453	1,762	1,130
71	2,374	2,439	2,358	1,535	1,832	1,221
72	2,526	2,551	2,538	1,620	1,903	1,319
73	2,616	2,607	2,649	1,716	1,983	1,431
74	2,707	2,658	2,768	1,829	2,076	1,563
75	2,786	2,692	2,875	1,960	2,182	1,718
76	2,828	2,696	2,941	2,104	2,295	1,892
77	2,846	2,676	2,984	2,253	2,406	2,079
78	2,880	2,661	3,053	2,399	2,508	2,272
79	2,843	2,591	3,039	2,538	2,594	2,467
80	2,829	2,532	3,064	2,667	2,661	2,658
81	2,705	2,394	2,950	2,784	2,710	2,847
82	2,655	2,302	2,939	2,891	2,743	3,031
83	2,528	2,153	2,834	2,986	2,758	3,209
84	2,390	1,998	2,716	3,068	2,758	3,378
85	2,201	1,804	2,538	3,131	2,739	3,528
86	2,005	1,612	2,341	3,168	2,698	3,650
87	1,786	1,410	2,113	3,177	2,637	3,735
88	1,572	1,216	1,886	3,151	2,552	3,774
89	1,352	1,024	1,643	3,083	2,440	3,756
90	1,160	855	1,434	2,981	2,306	3,690
91	948	687	1,184	2,847	2,151	3,578
92	781	551	991	2,670	1,972	3,403
93	623	429	802	2,470	1,781	3,192
94	487	327	636	2,261	1,589	2,965
95	373	243.2	494	2,044	1,401	2,719
96	275.8	175.3	371	1,817	1,215	2,450
97	198.6	123	270.6	1,577	1,031	2,153
98	139.3	84.1	192.3	1,339	857	1,847
99	96.5	56.7	135	1,110	697	1,547
100	10	0	23.8	874	510	1,260

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 Thailand 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 Thailand: Complete comparison

By topic vs comparisons:

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