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

Life expectancy by current age

Chart Table

Guinea-Bissau

Male

Female

Singapore

Male

Female

1x

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

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 84.5 in Singapore, rising to 78.7 and 86.7 at 65, and to 86.1 and 90.5 at 80 — higher than the 64.6 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Guinea-Bissau

Male

Female

Singapore

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 71.3% of newborns in Guinea-Bissau and 95.1% in Singapore are expected to live past 60, 54.3% and 88.3% past 70, 27.5% and 71% past 80, and only 5.32% and 36.1% 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

Singapore

Male

Female

1x

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

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

Death rate by age in Guinea-Bissau vs Singapore

Chart Table

Guinea-Bissau

Male

Female

Singapore

Male

Female

1x

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

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 Singapore. The median age of death is 71.8 in Guinea-Bissau and 86.5 in Singapore, 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 Singapore more than their death rates.

Life expectancy in other countries

+ -

1x