Life Expectancy in Guinea-Bissau vs Singapore (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 Singapore: 71.4 years vs 84.5 at 30, 78.7 vs 86.7 at 65, 86.1 vs 90.5 at 80 — significantly higher than the 64.6 vs 84.1 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 Singapore.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Singapore
	Average	Male	Female	Average	Male	Female
0	64.6	62.1	66.9	84.1	81.7	86.6
1	67.7	65.5	69.8	84.3	81.8	86.7
2	68.3	66.1	70.4	84.3	81.8	86.7
3	68.7	66.5	70.7	84.3	81.9	86.7
4	68.9	66.7	70.9	84.3	81.9	86.8
5	69.1	66.9	71.1	84.3	81.9	86.8
6	69.2	67	71.2	84.3	81.9	86.8
7	69.3	67.1	71.3	84.3	81.9	86.8
8	69.4	67.2	71.4	84.3	81.9	86.8
9	69.5	67.3	71.5	84.3	81.9	86.8
10	69.6	67.4	71.5	84.3	81.9	86.8
11	69.6	67.4	71.6	84.3	81.9	86.8
12	69.7	67.5	71.7	84.3	81.9	86.8
13	69.7	67.6	71.7	84.3	81.9	86.8
14	69.8	67.6	71.8	84.3	81.9	86.8
15	69.9	67.7	71.8	84.4	81.9	86.8
16	69.9	67.8	71.9	84.4	81.9	86.8
17	70	67.9	72	84.4	82	86.8
18	70.1	68	72	84.4	82	86.8
19	70.2	68.1	72.1	84.4	82	86.8
20	70.3	68.2	72.2	84.4	82	86.8
21	70.4	68.3	72.3	84.4	82	86.8
22	70.5	68.4	72.4	84.4	82	86.9
23	70.6	68.5	72.4	84.5	82.1	86.9
24	70.7	68.7	72.5	84.5	82.1	86.9
25	70.8	68.8	72.6	84.5	82.1	86.9
26	70.9	68.9	72.7	84.5	82.1	86.9
27	71.1	69.1	72.8	84.5	82.1	86.9
28	71.2	69.2	72.9	84.5	82.1	86.9
29	71.3	69.3	73	84.5	82.2	86.9
30	71.4	69.5	73.1	84.5	82.2	86.9
31	71.5	69.6	73.2	84.6	82.2	86.9
32	71.7	69.7	73.3	84.6	82.2	86.9
33	71.8	69.9	73.4	84.6	82.2	87
34	71.9	70	73.5	84.6	82.3	87
35	72	70.2	73.7	84.6	82.3	87
36	72.2	70.3	73.8	84.7	82.3	87
37	72.3	70.5	73.9	84.7	82.3	87
38	72.5	70.7	74	84.7	82.4	87
39	72.6	70.8	74.2	84.7	82.4	87
40	72.8	71	74.3	84.7	82.4	87.1
41	72.9	71.2	74.4	84.8	82.4	87.1
42	73.1	71.4	74.6	84.8	82.5	87.1
43	73.3	71.5	74.7	84.8	82.5	87.1
44	73.4	71.7	74.8	84.9	82.6	87.1
45	73.6	71.9	75	84.9	82.6	87.2
46	73.8	72.1	75.1	85	82.7	87.2
47	74	72.4	75.3	85	82.7	87.2
48	74.2	72.6	75.5	85	82.8	87.3
49	74.4	72.8	75.6	85.1	82.8	87.3
50	74.6	73	75.8	85.2	82.9	87.4
51	74.8	73.3	76	85.2	83	87.4
52	75	73.5	76.2	85.3	83.1	87.5
53	75.2	73.8	76.4	85.4	83.2	87.5
54	75.5	74.1	76.6	85.4	83.2	87.6
55	75.7	74.4	76.8	85.5	83.3	87.6
56	76	74.7	77	85.6	83.5	87.7
57	76.3	75	77.2	85.7	83.6	87.8
58	76.5	75.3	77.5	85.8	83.7	87.9
59	76.8	75.6	77.7	85.9	83.8	87.9
60	77.1	75.9	78	86	84	88
61	77.4	76.3	78.2	86.2	84.1	88.1
62	77.7	76.6	78.5	86.3	84.3	88.2
63	78	77	78.8	86.4	84.4	88.3
64	78.4	77.4	79.1	86.6	84.6	88.4
65	78.7	77.8	79.4	86.7	84.8	88.5
66	79.1	78.2	79.8	86.9	85	88.6
67	79.5	78.6	80.1	87	85.2	88.7
68	79.9	79.1	80.5	87.2	85.4	88.9
69	80.3	79.5	80.9	87.4	85.6	89
70	80.7	80	81.3	87.6	85.9	89.2
71	81.2	80.5	81.7	87.8	86.1	89.3
72	81.7	81	82.1	88.1	86.4	89.5
73	82.2	81.5	82.6	88.3	86.7	89.7
74	82.7	82.1	83.1	88.6	87.1	89.8
75	83.2	82.6	83.6	88.8	87.4	90.1
76	83.7	83.2	84.1	89.1	87.7	90.3
77	84.3	83.8	84.7	89.5	88.1	90.5
78	84.9	84.4	85.2	89.8	88.5	90.8
79	85.5	85.1	85.8	90.1	88.9	91.1
80	86.1	85.7	86.4	90.5	89.3	91.4
81	86.8	86.4	87	90.9	89.8	91.7
82	87.4	87.1	87.7	91.3	90.2	92.1
83	88.1	87.8	88.3	91.7	90.7	92.5
84	88.8	88.5	89	92.2	91.2	92.9
85	89.5	89.3	89.7	92.7	91.7	93.3
86	90.3	90	90.4	93.2	92.3	93.7
87	91	90.8	91.2	93.7	92.9	94.2
88	91.8	91.6	92	94.3	93.5	94.7
89	92.6	92.4	92.7	94.8	94.1	95.3
90	93.4	93.2	93.5	95.5	94.7	95.8
91	94.2	94	94.3	96.1	95.4	96.4
92	95	94.9	95.1	96.7	96.1	97
93	95.9	95.7	95.9	97.4	96.8	97.7
94	96.7	96.6	96.8	98.1	97.6	98.3
95	97.6	97.4	97.6	98.8	98.3	99
96	98.4	98.3	98.5	99.6	99.1	99.8
97	99.3	99.2	99.4	100.3	99.9	100.5
98	100.2	100.1	100.3	101.1	100.7	101.3
99	101.1	101	101.2	101.9	101.5	102.1
100	102	101.9	102.1	102.7	102.3	102.9

Odds of living to age in Guinea-Bissau vs Singapore

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71.3% in Guinea-Bissau and 95.1% in Singapore are expected to survive till at least 60 years old, 54.3% and 88.3% will live to 70 years or older, 27.5% and 71% to 80+ years, and 5.32% and 36.1% 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			Singapore
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.9%	99.8%	99.8%	99.9%
2	94.5%	94%	95.1%	99.8%	99.8%	99.8%
3	94%	93.4%	94.6%	99.8%	99.8%	99.8%
4	93.6%	93%	94.2%	99.8%	99.8%	99.8%
5	93.4%	92.8%	94%	99.8%	99.8%	99.8%
6	93.2%	92.6%	93.8%	99.8%	99.8%	99.8%
7	93.1%	92.4%	93.7%	99.8%	99.7%	99.8%
8	92.9%	92.3%	93.6%	99.8%	99.7%	99.8%
9	92.8%	92.2%	93.5%	99.8%	99.7%	99.8%
10	92.7%	92%	93.4%	99.8%	99.7%	99.8%
11	92.6%	91.9%	93.3%	99.8%	99.7%	99.8%
12	92.5%	91.8%	93.2%	99.7%	99.7%	99.8%
13	92.4%	91.7%	93.1%	99.7%	99.7%	99.8%
14	92.3%	91.6%	93%	99.7%	99.7%	99.8%
15	92.2%	91.5%	92.9%	99.7%	99.7%	99.8%
16	92.1%	91.4%	92.8%	99.7%	99.7%	99.8%
17	92%	91.2%	92.7%	99.7%	99.6%	99.7%
18	91.8%	91%	92.6%	99.7%	99.6%	99.7%
19	91.6%	90.9%	92.5%	99.7%	99.6%	99.7%
20	91.5%	90.6%	92.3%	99.6%	99.6%	99.7%
21	91.3%	90.4%	92.2%	99.6%	99.5%	99.7%
22	91.1%	90.2%	92%	99.6%	99.5%	99.7%
23	90.9%	89.9%	91.8%	99.6%	99.5%	99.7%
24	90.7%	89.7%	91.7%	99.6%	99.5%	99.7%
25	90.4%	89.4%	91.5%	99.5%	99.4%	99.6%
26	90.2%	89.1%	91.3%	99.5%	99.4%	99.6%
27	90%	88.9%	91.1%	99.5%	99.4%	99.6%
28	89.7%	88.6%	90.9%	99.5%	99.3%	99.6%
29	89.5%	88.3%	90.7%	99.4%	99.3%	99.6%
30	89.2%	88%	90.5%	99.4%	99.3%	99.6%
31	89%	87.7%	90.3%	99.4%	99.2%	99.5%
32	88.7%	87.4%	90.1%	99.3%	99.2%	99.5%
33	88.4%	87%	89.8%	99.3%	99.1%	99.5%
34	88.1%	86.7%	89.6%	99.3%	99.1%	99.5%
35	87.8%	86.3%	89.3%	99.2%	99.1%	99.5%
36	87.5%	85.9%	89%	99.2%	99%	99.4%
37	87.1%	85.5%	88.8%	99.2%	98.9%	99.4%
38	86.8%	85.1%	88.5%	99.1%	98.9%	99.4%
39	86.4%	84.7%	88.1%	99.1%	98.8%	99.3%
40	86%	84.2%	87.8%	99%	98.8%	99.3%
41	85.6%	83.7%	87.5%	98.9%	98.7%	99.3%
42	85.1%	83.2%	87.1%	98.9%	98.6%	99.2%
43	84.7%	82.7%	86.7%	98.8%	98.5%	99.2%
44	84.2%	82.1%	86.3%	98.7%	98.4%	99.1%
45	83.7%	81.5%	85.9%	98.6%	98.2%	99%
46	83.1%	80.9%	85.4%	98.5%	98.1%	99%
47	82.6%	80.2%	85%	98.4%	98%	98.9%
48	82%	79.5%	84.5%	98.3%	97.8%	98.8%
49	81.3%	78.8%	84%	98.1%	97.6%	98.7%
50	80.7%	78%	83.4%	98%	97.4%	98.6%
51	79.9%	77.1%	82.8%	97.8%	97.2%	98.4%
52	79.2%	76.2%	82.2%	97.6%	97%	98.3%
53	78.4%	75.3%	81.5%	97.4%	96.7%	98.1%
54	77.5%	74.3%	80.8%	97.1%	96.4%	98%
55	76.6%	73.2%	80%	96.9%	96%	97.8%
56	75.7%	72.1%	79.2%	96.6%	95.7%	97.6%
57	74.7%	70.9%	78.4%	96.3%	95.3%	97.3%
58	73.6%	69.7%	77.5%	95.9%	94.8%	97.1%
59	72.5%	68.4%	76.5%	95.5%	94.3%	96.8%
60	71.3%	67.1%	75.4%	95.1%	93.8%	96.5%
61	70%	65.6%	74.3%	94.7%	93.2%	96.2%
62	68.6%	64%	73.1%	94.2%	92.6%	95.9%
63	67.2%	62.4%	71.8%	93.7%	91.9%	95.6%
64	65.6%	60.6%	70.4%	93.1%	91.1%	95.2%
65	64%	58.8%	68.8%	92.4%	90.3%	94.7%
66	62.2%	56.9%	67.2%	91.8%	89.4%	94.3%
67	60.4%	54.9%	65.5%	91%	88.4%	93.8%
68	58.5%	52.8%	63.6%	90.2%	87.4%	93.2%
69	56.4%	50.6%	61.7%	89.3%	86.2%	92.6%
70	54.3%	48.3%	59.6%	88.3%	84.9%	91.9%
71	51.9%	45.9%	57.3%	87.2%	83.4%	91.2%
72	49.6%	43.5%	54.9%	86%	81.9%	90.3%
73	47%	40.9%	52.4%	84.6%	80.1%	89.4%
74	44.4%	38.3%	49.7%	83.2%	78.2%	88.3%
75	41.7%	35.6%	46.9%	81.5%	76.2%	87.1%
76	38.9%	32.9%	44.1%	79.8%	74%	85.8%
77	36.1%	30.2%	41.1%	77.8%	71.6%	84.3%
78	33.2%	27.5%	38.1%	75.7%	69.1%	82.6%
79	30.4%	24.9%	35.1%	73.5%	66.5%	80.7%
80	27.5%	22.3%	32%	71%	63.6%	78.6%
81	24.7%	19.7%	28.9%	68.3%	60.6%	76.3%
82	21.9%	17.3%	26%	65.5%	57.4%	73.7%
83	19.3%	15%	23%	62.4%	54%	70.9%
84	16.7%	12.8%	20.2%	59.1%	50.4%	67.8%
85	14.3%	10.8%	17.4%	55.6%	46.7%	64.5%
86	12.1%	8.99%	14.9%	52%	42.9%	61%
87	10.1%	7.36%	12.5%	48.2%	39%	57.2%
88	8.27%	5.94%	10.4%	44.2%	35.1%	53.2%
89	6.68%	4.71%	8.48%	40.2%	31.2%	49%
90	5.32%	3.67%	6.82%	36.1%	27.3%	44.6%
91	4.14%	2.81%	5.38%	32%	23.6%	40.2%
92	3.19%	2.11%	4.18%	28%	20%	35.7%
93	2.4%	1.55%	3.18%	24.2%	16.7%	31.3%
94	1.76%	1.12%	2.37%	20.5%	13.7%	27%
95	1.27%	0.79%	1.73%	17.1%	11%	22.9%
96	0.89%	0.54%	1.23%	14%	8.64%	19.1%
97	0.61%	0.36%	0.85%	11.2%	6.62%	15.5%
98	0.41%	0.24%	0.58%	8.78%	4.95%	12.4%
99	0.27%	0.15%	0.39%	6.71%	3.6%	9.59%
100	0.17%	0.1%	0.25%	4.99%	2.55%	7.25%

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 0.17% in Singapore, 0.3% vs 0.03% at age 30, 1.82% vs 0.47% at 60, and 10.3% vs 3.75% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Singapore
	Average	Male	Female	Average	Male	Female
0	4.65%	5.15%	4.15%	0.17%	0.19%	0.14%
1	0.88%	0.94%	0.83%	0.02%	0.02%	0.02%
2	0.54%	0.58%	0.5%	0.01%	0.01%	0.01%
3	0.37%	0.4%	0.35%	0.009%	0.01%	0.008%
4	0.26%	0.28%	0.25%	0.007%	0.008%	0.006%
5	0.2%	0.21%	0.19%	0.006%	0.007%	0.004%
6	0.17%	0.18%	0.15%	0.005%	0.006%	0.004%
7	0.14%	0.15%	0.13%	0.005%	0.006%	0.004%
8	0.12%	0.13%	0.11%	0.005%	0.006%	0.004%
9	0.11%	0.12%	0.1%	0.005%	0.006%	0.004%
10	0.11%	0.12%	0.09%	0.006%	0.007%	0.005%
11	0.1%	0.11%	0.09%	0.007%	0.008%	0.006%
12	0.1%	0.11%	0.09%	0.008%	0.01%	0.007%
13	0.11%	0.12%	0.1%	0.01%	0.01%	0.008%
14	0.12%	0.13%	0.1%	0.01%	0.01%	0.009%
15	0.13%	0.14%	0.11%	0.01%	0.02%	0.01%
16	0.14%	0.16%	0.12%	0.02%	0.02%	0.01%
17	0.16%	0.19%	0.13%	0.02%	0.02%	0.01%
18	0.18%	0.21%	0.14%	0.02%	0.02%	0.01%
19	0.19%	0.23%	0.15%	0.02%	0.03%	0.01%
20	0.21%	0.25%	0.16%	0.02%	0.03%	0.01%
21	0.22%	0.26%	0.17%	0.02%	0.03%	0.01%
22	0.23%	0.28%	0.18%	0.02%	0.03%	0.01%
23	0.24%	0.29%	0.18%	0.02%	0.03%	0.01%
24	0.24%	0.3%	0.19%	0.02%	0.03%	0.01%
25	0.25%	0.3%	0.2%	0.02%	0.03%	0.01%
26	0.26%	0.31%	0.21%	0.02%	0.03%	0.01%
27	0.27%	0.32%	0.22%	0.02%	0.03%	0.02%
28	0.28%	0.33%	0.22%	0.03%	0.03%	0.02%
29	0.28%	0.34%	0.23%	0.03%	0.04%	0.02%
30	0.3%	0.35%	0.24%	0.03%	0.04%	0.02%
31	0.31%	0.36%	0.25%	0.03%	0.04%	0.02%
32	0.32%	0.38%	0.27%	0.03%	0.04%	0.02%
33	0.34%	0.4%	0.28%	0.03%	0.04%	0.02%
34	0.36%	0.42%	0.29%	0.04%	0.05%	0.02%
35	0.37%	0.44%	0.31%	0.04%	0.05%	0.03%
36	0.39%	0.47%	0.32%	0.04%	0.05%	0.03%
37	0.41%	0.49%	0.34%	0.05%	0.06%	0.03%
38	0.44%	0.52%	0.36%	0.05%	0.07%	0.03%
39	0.46%	0.55%	0.38%	0.06%	0.07%	0.04%
40	0.49%	0.58%	0.4%	0.06%	0.08%	0.04%
41	0.51%	0.61%	0.42%	0.07%	0.09%	0.05%
42	0.55%	0.65%	0.45%	0.08%	0.1%	0.05%
43	0.57%	0.69%	0.46%	0.09%	0.11%	0.06%
44	0.61%	0.73%	0.49%	0.1%	0.12%	0.07%
45	0.65%	0.78%	0.52%	0.11%	0.14%	0.08%
46	0.68%	0.82%	0.54%	0.12%	0.15%	0.09%
47	0.72%	0.88%	0.58%	0.13%	0.16%	0.1%
48	0.77%	0.94%	0.62%	0.14%	0.18%	0.11%
49	0.83%	1.01%	0.66%	0.16%	0.2%	0.12%
50	0.9%	1.09%	0.72%	0.18%	0.23%	0.13%
51	0.94%	1.15%	0.76%	0.2%	0.25%	0.15%
52	1.03%	1.25%	0.83%	0.22%	0.28%	0.16%
53	1.09%	1.33%	0.88%	0.25%	0.31%	0.18%
54	1.16%	1.42%	0.94%	0.27%	0.35%	0.19%
55	1.24%	1.51%	1%	0.3%	0.39%	0.21%
56	1.32%	1.61%	1.08%	0.33%	0.43%	0.23%
57	1.41%	1.72%	1.15%	0.36%	0.47%	0.25%
58	1.53%	1.86%	1.26%	0.4%	0.52%	0.27%
59	1.65%	2.01%	1.36%	0.43%	0.57%	0.29%
60	1.82%	2.2%	1.52%	0.47%	0.62%	0.32%
61	1.94%	2.35%	1.62%	0.52%	0.68%	0.34%
62	2.13%	2.58%	1.8%	0.56%	0.75%	0.37%
63	2.31%	2.79%	1.97%	0.62%	0.82%	0.41%
64	2.51%	3.02%	2.16%	0.68%	0.9%	0.44%
65	2.73%	3.28%	2.37%	0.74%	0.99%	0.49%
66	2.94%	3.52%	2.57%	0.82%	1.09%	0.54%
67	3.2%	3.82%	2.82%	0.9%	1.21%	0.59%
68	3.51%	4.15%	3.11%	1%	1.35%	0.66%
69	3.82%	4.5%	3.4%	1.12%	1.51%	0.74%
70	4.26%	4.97%	3.84%	1.24%	1.7%	0.83%
71	4.57%	5.32%	4.12%	1.39%	1.9%	0.93%
72	5.1%	5.88%	4.63%	1.56%	2.12%	1.05%
73	5.56%	6.39%	5.07%	1.75%	2.36%	1.19%
74	6.1%	6.96%	5.58%	1.95%	2.61%	1.35%
75	6.69%	7.58%	6.14%	2.17%	2.88%	1.54%
76	7.28%	8.22%	6.7%	2.42%	3.17%	1.76%
77	7.9%	8.89%	7.28%	2.69%	3.5%	2.01%
78	8.69%	9.71%	8.04%	3%	3.87%	2.28%
79	9.4%	10.5%	8.71%	3.35%	4.29%	2.6%
80	10.3%	11.4%	9.62%	3.75%	4.77%	2.95%
81	11%	12.2%	10.3%	4.2%	5.31%	3.35%
82	12.2%	13.4%	11.4%	4.71%	5.91%	3.8%
83	13.2%	14.5%	12.4%	5.27%	6.58%	4.31%
84	14.4%	15.7%	13.6%	5.87%	7.32%	4.87%
85	15.5%	16.8%	14.7%	6.55%	8.13%	5.51%
86	16.7%	18.1%	15.9%	7.32%	9.04%	6.22%
87	17.9%	19.3%	17%	8.18%	10%	7.02%
88	19.2%	20.7%	18.3%	9.15%	11.2%	7.9%
89	20.4%	22%	19.5%	10.2%	12.4%	8.88%
90	22.1%	23.6%	21.2%	11.3%	13.7%	9.95%
91	23.1%	24.8%	22.2%	12.5%	15.1%	11.1%
92	24.8%	26.4%	23.9%	13.8%	16.6%	12.4%
93	26.3%	28%	25.5%	15.1%	18.1%	13.7%
94	28%	29.6%	27.1%	16.6%	19.7%	15.2%
95	29.7%	31.3%	28.9%	18.2%	21.4%	16.8%
96	31.3%	32.8%	30.5%	19.9%	23.3%	18.6%
97	32.8%	34.3%	32%	21.7%	25.3%	20.4%
98	34.2%	35.7%	33.5%	23.6%	27.2%	22.4%
99	36.1%	37.5%	35.4%	25.6%	29.3%	24.5%
100	37.5%	38.9%	36.9%	27.4%	31.2%	26.3%

Death rate by age in Guinea-Bissau compared to Singapore

In Guinea-Bissau, the most common age of death is 0, compared to 89 in Singapore. The median age of death is 71.8 in Guinea-Bissau and 86.5 in Singapore — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Singapore
	Total	Male	Female	Total	Male	Female
0	4,655	5,152	4,147	168.8	194.6	141.6
1	843	888	797	16.5	15.9	17.1
2	511	542	480	12.1	12.7	11.5
3	349	371	327	9.12	10.2	7.97
4	247.5	262.6	231.7	7.11	8.39	5.79
5	187.5	199.5	175	5.83	7.13	4.47
6	154.2	165.3	142.6	5.08	6.34	3.77
7	130.9	141.4	119.9	4.75	5.96	3.5
8	114.4	124.3	104.1	4.79	5.95	3.58
9	103.7	113.1	93.9	5.15	6.29	3.97
10	97.5	106.1	88.5	5.86	6.99	4.67
11	94.7	102.7	86.4	6.9	8.1	5.64
12	95.9	104.1	87.3	8.25	9.63	6.8
13	100.2	109.3	90.8	9.84	11.6	7.95
14	108.2	118.9	97	11.6	14	8.96
15	118.9	131.9	105.5	13.3	16.7	9.71
16	133.3	150.2	115.7	15.1	19.6	10.2
17	147.6	170	124.3	16.7	22.3	10.7
18	162.7	190.8	133.7	18.2	24.5	11.1
19	175.7	208.8	141.4	19.4	26.3	11.6
20	187.7	225.3	148.9	20.3	27.5	12.1
21	198.1	239.1	155.7	21	28.1	12.7
22	207.1	250.3	162.5	21.5	28.5	13.1
23	214.4	258.3	169.1	21.9	28.8	13.5
24	220.9	264.6	175.9	22.3	29.2	13.8
25	226.7	269.7	182.4	22.8	29.8	14.2
26	232.7	275	189.2	23.5	30.6	14.6
27	239.2	281.1	196.1	24.4	31.7	15.2
28	247.1	288.9	204.1	25.6	33.2	16.1
29	254.6	297.3	210.8	27.1	35	17.2
30	265.8	309	221	28.8	37.2	18.6
31	272.8	318	226.6	30.7	39.5	20.1
32	287.1	334	238.9	32.7	41.9	21.6
33	299.4	348	249.4	34.7	44.5	23
34	313	364	260.9	36.7	47.3	24.4
35	329	383	273.7	39.1	50.5	25.8
36	345	401	287.1	41.8	54.3	27.4
37	360	420	300	45.2	59.1	29.6
38	381	442	318	49.6	65	32.4
39	399	463	332	55.2	72.2	36.2
40	423	492	353	61.8	80.7	40.9
41	438	509	364	69.3	90.3	46.5
42	467	543	389	77.7	100.6	53
43	486	566	403	86.6	111.5	60.1
44	510	597	422	96	122.6	67.8
45	540	633	445	106	134.4	75.9
46	565	663	465	116.6	147	84.6
47	596	702	489	128.5	161.4	94.1
48	635	748	523	142.1	178	104.5
49	673	794	555	157.8	197.6	116.1
50	724	853	602	175.7	220.2	128.9
51	755	890	627	195.5	245.8	142.8
52	812	952	680	217.2	273.9	157.6
53	854	1,000	715	240.5	304	173.4
54	903	1,054	760	265.1	337	189.9
55	949	1,106	803	290.8	371	207
56	1,002	1,164	854	318	408	224.9
57	1,055	1,223	903	347	447	243.5
58	1,127	1,299	974	379	490	263.2
59	1,195	1,374	1,041	413	535	284.1
60	1,297	1,477	1,147	450	585	307
61	1,354	1,541	1,204	489	638	331
62	1,463	1,651	1,319	532	694	359
63	1,551	1,740	1,414	578	755	389
64	1,645	1,832	1,517	628	821	423
65	1,748	1,928	1,631	685	894	462
66	1,830	2,002	1,725	749	977	506
67	1,934	2,096	1,843	822	1,071	557
68	2,051	2,193	1,979	905	1,180	615
69	2,152	2,277	2,096	996	1,303	682
70	2,313	2,399	2,287	1,098	1,439	759
71	2,375	2,444	2,361	1,215	1,586	848
72	2,527	2,557	2,542	1,345	1,738	949
73	2,618	2,614	2,655	1,480	1,891	1,065
74	2,710	2,666	2,774	1,619	2,043	1,196
75	2,789	2,702	2,883	1,767	2,194	1,343
76	2,832	2,707	2,950	1,927	2,348	1,508
77	2,852	2,688	2,994	2,096	2,508	1,689
78	2,888	2,674	3,064	2,274	2,675	1,886
79	2,853	2,605	3,052	2,465	2,850	2,096
80	2,842	2,546	3,078	2,666	3,031	2,319
81	2,719	2,409	2,966	2,873	3,214	2,556
82	2,671	2,318	2,955	3,084	3,390	2,802
83	2,545	2,169	2,850	3,286	3,550	3,053
84	2,407	2,014	2,732	3,470	3,689	3,306
85	2,219	1,819	2,554	3,646	3,801	3,554
86	2,022	1,627	2,357	3,806	3,881	3,793
87	1,803	1,424	2,129	3,941	3,923	4,013
88	1,587	1,228	1,900	4,046	3,920	4,204
89	1,366	1,035	1,657	4,096	3,860	4,349
90	1,173	865	1,447	4,078	3,743	4,442
91	959	695	1,195	3,998	3,565	4,473
92	791	558	1,001	3,852	3,319	4,419
93	631	435	810	3,651	3,024	4,291
94	493	331	643	3,402	2,698	4,098
95	377	246.6	499	3,109	2,358	3,843
96	279.6	177.9	375	2,786	2,015	3,537
97	201.5	124.9	273.7	2,433	1,673	3,170
98	141.4	85.4	194.6	2,071	1,349	2,766
99	98	57.6	136.6	1,718	1,055	2,345
100	10.5	0	24.3	1,375	708	2,002

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 Singapore 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 Singapore: Complete comparison

By topic vs comparisons:

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