Life Expectancy in Guinea-Bissau vs Marshall Islands (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 the Marshall Islands: 71.4 years vs 71 at 30, 78.7 vs 78.2 at 65, 86.1 vs 85.9 at 80 — significantly higher than the 64.6 vs 67.3 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 the Marshall Islands.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Marshall Islands
	Average	Male	Female	Average	Male	Female
0	64.6	62.1	66.9	67.3	65.2	69.8
1	67.7	65.5	69.8	68.8	66.8	71
2	68.3	66.1	70.4	69	67	71.2
3	68.7	66.5	70.7	69.1	67.1	71.3
4	68.9	66.7	70.9	69.1	67.2	71.3
5	69.1	66.9	71.1	69.1	67.2	71.4
6	69.2	67	71.2	69.2	67.3	71.4
7	69.3	67.1	71.3	69.2	67.3	71.5
8	69.4	67.2	71.4	69.3	67.4	71.5
9	69.5	67.3	71.5	69.3	67.4	71.6
10	69.6	67.4	71.5	69.4	67.4	71.6
11	69.6	67.4	71.6	69.4	67.5	71.6
12	69.7	67.5	71.7	69.4	67.5	71.7
13	69.7	67.6	71.7	69.5	67.5	71.7
14	69.8	67.6	71.8	69.5	67.6	71.8
15	69.9	67.7	71.8	69.6	67.6	71.8
16	69.9	67.8	71.9	69.6	67.7	71.9
17	70	67.9	72	69.7	67.7	72
18	70.1	68	72	69.8	67.8	72
19	70.2	68.1	72.1	69.9	67.9	72.1
20	70.3	68.2	72.2	70	68	72.2
21	70.4	68.3	72.3	70.1	68.1	72.3
22	70.5	68.4	72.4	70.2	68.2	72.4
23	70.6	68.5	72.4	70.3	68.4	72.5
24	70.7	68.7	72.5	70.4	68.5	72.6
25	70.8	68.8	72.6	70.5	68.6	72.7
26	70.9	68.9	72.7	70.6	68.7	72.8
27	71.1	69.1	72.8	70.7	68.8	72.9
28	71.2	69.2	72.9	70.8	68.9	73
29	71.3	69.3	73	70.9	69	73.1
30	71.4	69.5	73.1	71	69.1	73.2
31	71.5	69.6	73.2	71.1	69.2	73.3
32	71.7	69.7	73.3	71.2	69.3	73.4
33	71.8	69.9	73.4	71.3	69.4	73.5
34	71.9	70	73.5	71.4	69.5	73.6
35	72	70.2	73.7	71.5	69.7	73.7
36	72.2	70.3	73.8	71.7	69.8	73.8
37	72.3	70.5	73.9	71.8	69.9	73.9
38	72.5	70.7	74	71.9	70	74
39	72.6	70.8	74.2	72	70.2	74.2
40	72.8	71	74.3	72.2	70.3	74.3
41	72.9	71.2	74.4	72.3	70.4	74.4
42	73.1	71.4	74.6	72.4	70.6	74.6
43	73.3	71.5	74.7	72.6	70.7	74.7
44	73.4	71.7	74.8	72.7	70.9	74.8
45	73.6	71.9	75	72.9	71.1	75
46	73.8	72.1	75.1	73.1	71.3	75.2
47	74	72.4	75.3	73.2	71.5	75.3
48	74.2	72.6	75.5	73.4	71.7	75.5
49	74.4	72.8	75.6	73.6	71.9	75.7
50	74.6	73	75.8	73.8	72.1	75.8
51	74.8	73.3	76	74	72.3	76
52	75	73.5	76.2	74.3	72.6	76.2
53	75.2	73.8	76.4	74.5	72.8	76.4
54	75.5	74.1	76.6	74.7	73.1	76.6
55	75.7	74.4	76.8	75	73.4	76.9
56	76	74.7	77	75.3	73.7	77.1
57	76.3	75	77.2	75.5	74	77.3
58	76.5	75.3	77.5	75.8	74.3	77.6
59	76.8	75.6	77.7	76.1	74.6	77.8
60	77.1	75.9	78	76.4	75	78.1
61	77.4	76.3	78.2	76.8	75.4	78.4
62	77.7	76.6	78.5	77.1	75.7	78.6
63	78	77	78.8	77.5	76.1	78.9
64	78.4	77.4	79.1	77.8	76.6	79.2
65	78.7	77.8	79.4	78.2	77	79.5
66	79.1	78.2	79.8	78.6	77.4	79.9
67	79.5	78.6	80.1	79	77.9	80.2
68	79.9	79.1	80.5	79.4	78.4	80.6
69	80.3	79.5	80.9	79.9	78.9	80.9
70	80.7	80	81.3	80.3	79.4	81.3
71	81.2	80.5	81.7	80.8	79.9	81.7
72	81.7	81	82.1	81.3	80.5	82.2
73	82.2	81.5	82.6	81.8	81	82.6
74	82.7	82.1	83.1	82.3	81.6	83.1
75	83.2	82.6	83.6	82.9	82.2	83.6
76	83.7	83.2	84.1	83.5	82.8	84.1
77	84.3	83.8	84.7	84	83.4	84.6
78	84.9	84.4	85.2	84.6	84.1	85.2
79	85.5	85.1	85.8	85.3	84.7	85.7
80	86.1	85.7	86.4	85.9	85.4	86.3
81	86.8	86.4	87	86.6	86.1	86.9
82	87.4	87.1	87.7	87.3	86.8	87.6
83	88.1	87.8	88.3	88	87.5	88.2
84	88.8	88.5	89	88.7	88.3	88.9
85	89.5	89.3	89.7	89.4	89	89.6
86	90.3	90	90.4	90.2	89.8	90.3
87	91	90.8	91.2	90.9	90.6	91
88	91.8	91.6	92	91.7	91.4	91.8
89	92.6	92.4	92.7	92.4	92.2	92.6
90	93.4	93.2	93.5	93.2	93	93.3
91	94.2	94	94.3	94	93.8	94.1
92	95	94.9	95.1	94.9	94.7	95
93	95.9	95.7	95.9	95.7	95.5	95.8
94	96.7	96.6	96.8	96.6	96.4	96.6
95	97.6	97.4	97.6	97.4	97.3	97.5
96	98.4	98.3	98.5	98.3	98.2	98.3
97	99.3	99.2	99.4	99.2	99	99.2
98	100.2	100.1	100.3	100.1	100	100.1
99	101.1	101	101.2	101	100.9	101
100	102	101.9	102.1	101.9	101.8	102

Odds of living to age in Guinea-Bissau vs Marshall Islands

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71.3% in Guinea-Bissau and 74.7% in the Marshall Islands are expected to survive till at least 60 years old, 54.3% and 55.2% will live to 70 years or older, 27.5% and 26.7% to 80+ years, and 5.32% and 4.8% 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			Marshall Islands
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.9%	97.9%	97.6%	98.2%
2	94.5%	94%	95.1%	97.6%	97.3%	97.9%
3	94%	93.4%	94.6%	97.4%	97.1%	97.8%
4	93.6%	93%	94.2%	97.4%	97%	97.8%
5	93.4%	92.8%	94%	97.4%	97%	97.7%
6	93.2%	92.6%	93.8%	97.3%	96.9%	97.6%
7	93.1%	92.4%	93.7%	97.2%	96.8%	97.6%
8	92.9%	92.3%	93.6%	97.1%	96.8%	97.5%
9	92.8%	92.2%	93.5%	97.1%	96.7%	97.4%
10	92.7%	92%	93.4%	97%	96.7%	97.4%
11	92.6%	91.9%	93.3%	96.9%	96.6%	97.3%
12	92.5%	91.8%	93.2%	96.9%	96.6%	97.2%
13	92.4%	91.7%	93.1%	96.8%	96.5%	97.2%
14	92.3%	91.6%	93%	96.8%	96.4%	97.1%
15	92.2%	91.5%	92.9%	96.7%	96.3%	97%
16	92.1%	91.4%	92.8%	96.6%	96.2%	96.9%
17	92%	91.2%	92.7%	96.4%	96.1%	96.8%
18	91.8%	91%	92.6%	96.3%	96%	96.6%
19	91.6%	90.9%	92.5%	96.1%	95.8%	96.5%
20	91.5%	90.6%	92.3%	95.9%	95.6%	96.3%
21	91.3%	90.4%	92.2%	95.7%	95.3%	96.1%
22	91.1%	90.2%	92%	95.5%	95.1%	95.9%
23	90.9%	89.9%	91.8%	95.3%	94.9%	95.7%
24	90.7%	89.7%	91.7%	95.1%	94.6%	95.6%
25	90.4%	89.4%	91.5%	94.9%	94.4%	95.4%
26	90.2%	89.1%	91.3%	94.6%	94.1%	95.2%
27	90%	88.9%	91.1%	94.4%	93.9%	95%
28	89.7%	88.6%	90.9%	94.2%	93.7%	94.8%
29	89.5%	88.3%	90.7%	94%	93.4%	94.6%
30	89.2%	88%	90.5%	93.7%	93.2%	94.4%
31	89%	87.7%	90.3%	93.5%	92.9%	94.2%
32	88.7%	87.4%	90.1%	93.3%	92.6%	93.9%
33	88.4%	87%	89.8%	93%	92.4%	93.7%
34	88.1%	86.7%	89.6%	92.7%	92.1%	93.4%
35	87.8%	86.3%	89.3%	92.5%	91.8%	93.2%
36	87.5%	85.9%	89%	92.2%	91.5%	92.9%
37	87.1%	85.5%	88.8%	91.8%	91.1%	92.6%
38	86.8%	85.1%	88.5%	91.5%	90.8%	92.3%
39	86.4%	84.7%	88.1%	91.2%	90.4%	92%
40	86%	84.2%	87.8%	90.8%	90%	91.7%
41	85.6%	83.7%	87.5%	90.4%	89.6%	91.3%
42	85.1%	83.2%	87.1%	90%	89.1%	90.9%
43	84.7%	82.7%	86.7%	89.6%	88.6%	90.5%
44	84.2%	82.1%	86.3%	89.1%	88.1%	90.1%
45	83.7%	81.5%	85.9%	88.6%	87.5%	89.7%
46	83.1%	80.9%	85.4%	88%	86.9%	89.2%
47	82.6%	80.2%	85%	87.4%	86.2%	88.7%
48	82%	79.5%	84.5%	86.8%	85.5%	88.2%
49	81.3%	78.8%	84%	86.1%	84.7%	87.6%
50	80.7%	78%	83.4%	85.4%	83.9%	87%
51	79.9%	77.1%	82.8%	84.6%	83%	86.3%
52	79.2%	76.2%	82.2%	83.8%	82%	85.7%
53	78.4%	75.3%	81.5%	82.9%	81%	84.9%
54	77.5%	74.3%	80.8%	82%	79.9%	84.2%
55	76.6%	73.2%	80%	81%	78.7%	83.3%
56	75.7%	72.1%	79.2%	79.9%	77.4%	82.5%
57	74.7%	70.9%	78.4%	78.7%	76%	81.5%
58	73.6%	69.7%	77.5%	77.5%	74.6%	80.5%
59	72.5%	68.4%	76.5%	76.1%	73%	79.5%
60	71.3%	67.1%	75.4%	74.7%	71.4%	78.3%
61	70%	65.6%	74.3%	73.2%	69.6%	77.1%
62	68.6%	64%	73.1%	71.6%	67.7%	75.9%
63	67.2%	62.4%	71.8%	70%	65.7%	74.5%
64	65.6%	60.6%	70.4%	68.2%	63.7%	73.1%
65	64%	58.8%	68.8%	66.3%	61.4%	71.6%
66	62.2%	56.9%	67.2%	64.3%	59.1%	70%
67	60.4%	54.9%	65.5%	62.2%	56.7%	68.2%
68	58.5%	52.8%	63.6%	59.9%	54.2%	66.3%
69	56.4%	50.6%	61.7%	57.6%	51.7%	64.4%
70	54.3%	48.3%	59.6%	55.2%	49%	62.2%
71	51.9%	45.9%	57.3%	52.7%	46.3%	60%
72	49.6%	43.5%	54.9%	50%	43.5%	57.6%
73	47%	40.9%	52.4%	47.3%	40.6%	55%
74	44.4%	38.3%	49.7%	44.4%	37.7%	52.4%
75	41.7%	35.6%	46.9%	41.5%	34.8%	49.6%
76	38.9%	32.9%	44.1%	38.6%	31.9%	46.6%
77	36.1%	30.2%	41.1%	35.6%	29%	43.6%
78	33.2%	27.5%	38.1%	32.6%	26.2%	40.5%
79	30.4%	24.9%	35.1%	29.6%	23.4%	37.3%
80	27.5%	22.3%	32%	26.7%	20.7%	34%
81	24.7%	19.7%	28.9%	23.7%	18.2%	30.8%
82	21.9%	17.3%	26%	20.9%	15.7%	27.6%
83	19.3%	15%	23%	18.2%	13.5%	24.4%
84	16.7%	12.8%	20.2%	15.7%	11.4%	21.3%
85	14.3%	10.8%	17.4%	13.4%	9.49%	18.4%
86	12.1%	8.99%	14.9%	11.2%	7.79%	15.7%
87	10.1%	7.36%	12.5%	9.3%	6.28%	13.1%
88	8.27%	5.94%	10.4%	7.61%	4.98%	10.8%
89	6.68%	4.71%	8.48%	6.11%	3.88%	8.79%
90	5.32%	3.67%	6.82%	4.8%	2.96%	7%
91	4.14%	2.81%	5.38%	3.71%	2.22%	5.46%
92	3.19%	2.11%	4.18%	2.81%	1.63%	4.18%
93	2.4%	1.55%	3.18%	2.07%	1.17%	3.13%
94	1.76%	1.12%	2.37%	1.49%	0.82%	2.29%
95	1.27%	0.79%	1.73%	1.05%	0.56%	1.63%
96	0.89%	0.54%	1.23%	0.72%	0.37%	1.14%
97	0.61%	0.36%	0.85%	0.48%	0.24%	0.77%
98	0.41%	0.24%	0.58%	0.32%	0.15%	0.51%
99	0.27%	0.15%	0.39%	0.2%	0.09%	0.33%
100	0.17%	0.1%	0.25%	0.12%	0.06%	0.2%

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 2.1% in the Marshall Islands, 0.3% vs 0.26% at age 30, 1.82% vs 2.01% at 60, and 10.3% vs 11% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Marshall Islands
	Average	Male	Female	Average	Male	Female
0	4.65%	5.15%	4.15%	2.1%	2.41%	1.78%
1	0.88%	0.94%	0.83%	0.31%	0.33%	0.28%
2	0.54%	0.58%	0.5%	0.15%	0.17%	0.14%
3	0.37%	0.4%	0.35%	0.06%	0.07%	0.05%
4	0.26%	0.28%	0.25%	0.03%	0.03%	0.03%
5	0.2%	0.21%	0.19%	0.09%	0.09%	0.09%
6	0.17%	0.18%	0.15%	0.08%	0.08%	0.08%
7	0.14%	0.15%	0.13%	0.07%	0.07%	0.07%
8	0.12%	0.13%	0.11%	0.07%	0.06%	0.07%
9	0.11%	0.12%	0.1%	0.06%	0.06%	0.06%
10	0.11%	0.12%	0.09%	0.06%	0.05%	0.06%
11	0.1%	0.11%	0.09%	0.06%	0.06%	0.06%
12	0.1%	0.11%	0.09%	0.06%	0.06%	0.07%
13	0.11%	0.12%	0.1%	0.07%	0.07%	0.08%
14	0.12%	0.13%	0.1%	0.09%	0.08%	0.09%
15	0.13%	0.14%	0.11%	0.11%	0.11%	0.11%
16	0.14%	0.16%	0.12%	0.13%	0.13%	0.13%
17	0.16%	0.19%	0.13%	0.16%	0.17%	0.15%
18	0.18%	0.21%	0.14%	0.18%	0.2%	0.17%
19	0.19%	0.23%	0.15%	0.2%	0.22%	0.18%
20	0.21%	0.25%	0.16%	0.21%	0.24%	0.19%
21	0.22%	0.26%	0.17%	0.22%	0.25%	0.19%
22	0.23%	0.28%	0.18%	0.22%	0.25%	0.19%
23	0.24%	0.29%	0.18%	0.22%	0.25%	0.19%
24	0.24%	0.3%	0.19%	0.22%	0.25%	0.19%
25	0.25%	0.3%	0.2%	0.23%	0.25%	0.2%
26	0.26%	0.31%	0.21%	0.23%	0.25%	0.2%
27	0.27%	0.32%	0.22%	0.24%	0.26%	0.21%
28	0.28%	0.33%	0.22%	0.24%	0.26%	0.22%
29	0.28%	0.34%	0.23%	0.25%	0.27%	0.23%
30	0.3%	0.35%	0.24%	0.26%	0.28%	0.24%
31	0.31%	0.36%	0.25%	0.26%	0.29%	0.24%
32	0.32%	0.38%	0.27%	0.27%	0.3%	0.25%
33	0.34%	0.4%	0.28%	0.29%	0.31%	0.26%
34	0.36%	0.42%	0.29%	0.3%	0.33%	0.28%
35	0.37%	0.44%	0.31%	0.32%	0.35%	0.29%
36	0.39%	0.47%	0.32%	0.34%	0.37%	0.31%
37	0.41%	0.49%	0.34%	0.36%	0.39%	0.33%
38	0.44%	0.52%	0.36%	0.38%	0.42%	0.35%
39	0.46%	0.55%	0.38%	0.41%	0.45%	0.37%
40	0.49%	0.58%	0.4%	0.43%	0.48%	0.39%
41	0.51%	0.61%	0.42%	0.46%	0.51%	0.41%
42	0.55%	0.65%	0.45%	0.49%	0.55%	0.43%
43	0.57%	0.69%	0.46%	0.53%	0.6%	0.46%
44	0.61%	0.73%	0.49%	0.57%	0.65%	0.49%
45	0.65%	0.78%	0.52%	0.61%	0.7%	0.53%
46	0.68%	0.82%	0.54%	0.67%	0.77%	0.57%
47	0.72%	0.88%	0.58%	0.72%	0.83%	0.61%
48	0.77%	0.94%	0.62%	0.78%	0.91%	0.65%
49	0.83%	1.01%	0.66%	0.84%	0.99%	0.69%
50	0.9%	1.09%	0.72%	0.91%	1.07%	0.74%
51	0.94%	1.15%	0.76%	0.99%	1.17%	0.79%
52	1.03%	1.25%	0.83%	1.06%	1.27%	0.85%
53	1.09%	1.33%	0.88%	1.14%	1.37%	0.91%
54	1.16%	1.42%	0.94%	1.23%	1.49%	0.98%
55	1.24%	1.51%	1%	1.34%	1.62%	1.05%
56	1.32%	1.61%	1.08%	1.46%	1.76%	1.14%
57	1.41%	1.72%	1.15%	1.58%	1.91%	1.22%
58	1.53%	1.86%	1.26%	1.71%	2.08%	1.32%
59	1.65%	2.01%	1.36%	1.86%	2.27%	1.42%
60	1.82%	2.2%	1.52%	2.01%	2.47%	1.52%
61	1.94%	2.35%	1.62%	2.17%	2.7%	1.64%
62	2.13%	2.58%	1.8%	2.34%	2.93%	1.77%
63	2.31%	2.79%	1.97%	2.55%	3.19%	1.92%
64	2.51%	3.02%	2.16%	2.77%	3.46%	2.09%
65	2.73%	3.28%	2.37%	3%	3.75%	2.28%
66	2.94%	3.52%	2.57%	3.29%	4.06%	2.49%
67	3.2%	3.82%	2.82%	3.6%	4.4%	2.73%
68	3.51%	4.15%	3.11%	3.88%	4.76%	3%
69	3.82%	4.5%	3.4%	4.17%	5.15%	3.3%
70	4.26%	4.97%	3.84%	4.57%	5.58%	3.63%
71	4.57%	5.32%	4.12%	5.04%	6.05%	3.99%
72	5.1%	5.88%	4.63%	5.52%	6.56%	4.4%
73	5.56%	6.39%	5.07%	6.01%	7.11%	4.85%
74	6.1%	6.96%	5.58%	6.53%	7.72%	5.35%
75	6.69%	7.58%	6.14%	7.06%	8.37%	5.91%
76	7.28%	8.22%	6.7%	7.7%	9.06%	6.52%
77	7.9%	8.89%	7.28%	8.48%	9.8%	7.18%
78	8.69%	9.71%	8.04%	9.2%	10.6%	7.91%
79	9.4%	10.5%	8.71%	9.98%	11.4%	8.7%
80	10.3%	11.4%	9.62%	11%	12.3%	9.55%
81	11%	12.2%	10.3%	11.9%	13.3%	10.5%
82	12.2%	13.4%	11.4%	12.9%	14.4%	11.5%
83	13.2%	14.5%	12.4%	13.8%	15.5%	12.5%
84	14.4%	15.7%	13.6%	14.9%	16.7%	13.7%
85	15.5%	16.8%	14.7%	16%	18%	14.9%
86	16.7%	18.1%	15.9%	17.1%	19.3%	16.2%
87	17.9%	19.3%	17%	18.3%	20.7%	17.5%
88	19.2%	20.7%	18.3%	19.7%	22.1%	18.9%
89	20.4%	22%	19.5%	21.3%	23.6%	20.4%
90	22.1%	23.6%	21.2%	22.8%	25.1%	21.9%
91	23.1%	24.8%	22.2%	24.3%	26.7%	23.5%
92	24.8%	26.4%	23.9%	26.1%	28.3%	25.1%
93	26.3%	28%	25.5%	27.9%	29.9%	26.8%
94	28%	29.6%	27.1%	29.6%	31.6%	28.6%
95	29.7%	31.3%	28.9%	31.2%	33.4%	30.4%
96	31.3%	32.8%	30.5%	33%	35.1%	32.2%
97	32.8%	34.3%	32%	34.7%	36.8%	34.1%
98	34.2%	35.7%	33.5%	36.4%	38.5%	36%
99	36.1%	37.5%	35.4%	38.3%	40.2%	37.8%
100	37.5%	38.9%	36.9%	40%	42%	39.7%

Death rate by age in Guinea-Bissau compared to the Marshall Islands

In Guinea-Bissau, the most common age of death is 0, compared to 77 in the Marshall Islands. The median age of death is 71.8 in Guinea-Bissau and 72 in the Marshall Islands — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Marshall Islands
	Total	Male	Female	Total	Male	Female
0	4,655	5,152	4,147	2,105	2,408	1,781
1	843	888	797	299.2	325	271.2
2	511	542	480	147.2	160.7	132.8
3	349	371	327	58.2	63.4	52.7
4	247.5	262.6	231.7	32.5	33.5	31.4
5	187.5	199.5	175	87.3	89.2	85.3
6	154.2	165.3	142.6	78	77.4	78.7
7	130.9	141.4	119.9	70	67.7	72.4
8	114.4	124.3	104.1	63.6	60.2	67.1
9	103.7	113.1	93.9	59.1	55	63.3
10	97.5	106.1	88.5	57	52.6	61.6
11	94.7	102.7	86.4	57.9	53.3	62.7
12	95.9	104.1	87.3	62.3	57.7	67.2
13	100.2	109.3	90.8	71.3	66.7	76.1
14	108.2	118.9	97	85.3	81.2	89.5
15	118.9	131.9	105.5	104.8	102.2	107.6
16	133.3	150.2	115.7	128.9	129.2	128.6
17	147.6	170	124.3	154.6	159.5	149
18	162.7	190.8	133.7	178	189	165.4
19	175.7	208.8	141.4	195.1	212.5	175
20	187.7	225.3	148.9	204.7	227.9	178.6
21	198.1	239.1	155.7	208.7	235.8	178.7
22	207.1	250.3	162.5	210	238.3	177.9
23	214.4	258.3	169.1	211.2	238.3	178.6
24	220.9	264.6	175.9	212.4	237.8	181.7
25	226.7	269.7	182.4	214.6	237.8	187.1
26	232.7	275	189.2	218.1	239	194.1
27	239.2	281.1	196.1	222.6	241.4	201.5
28	247.1	288.9	204.1	227.9	245	208.7
29	254.6	297.3	210.8	233.4	250.1	215.4
30	265.8	309	221	239.2	256.6	221.9
31	272.8	318	226.6	246.4	264.9	228.9
32	287.1	334	238.9	254.9	275.1	237.2
33	299.4	348	249.4	265.7	287.2	247.4
34	313	364	260.9	279.2	301	259.7
35	329	383	273.7	294.9	318	273.7
36	345	401	287.1	312	336	289
37	360	420	300	330	356	305
38	381	442	318	349	379	321
39	399	463	332	370	403	337
40	423	492	353	392	430	353
41	438	509	364	416	460	372
42	467	543	389	443	494	392
43	486	566	403	473	530	416
44	510	597	422	507	571	443
45	540	633	445	545	616	473
46	565	663	465	585	665	506
47	596	702	489	629	718	539
48	635	748	523	674	775	574
49	673	794	555	724	835	608
50	724	853	602	779	899	644
51	755	890	627	834	967	682
52	812	952	680	887	1,038	724
53	854	1,000	715	942	1,113	770
54	903	1,054	760	1,009	1,191	821
55	949	1,106	803	1,087	1,274	877
56	1,002	1,164	854	1,164	1,362	936
57	1,055	1,223	903	1,242	1,456	998
58	1,127	1,299	974	1,322	1,555	1,061
59	1,195	1,374	1,041	1,414	1,658	1,126
60	1,297	1,477	1,147	1,504	1,767	1,193
61	1,354	1,541	1,204	1,587	1,877	1,265
62	1,463	1,651	1,319	1,680	1,987	1,343
63	1,551	1,740	1,414	1,783	2,097	1,429
64	1,645	1,832	1,517	1,891	2,203	1,525
65	1,748	1,928	1,631	1,992	2,305	1,630
66	1,830	2,002	1,725	2,116	2,403	1,744
67	1,934	2,096	1,843	2,239	2,495	1,865
68	2,051	2,193	1,979	2,325	2,582	1,992
69	2,152	2,277	2,096	2,405	2,663	2,123
70	2,313	2,399	2,287	2,523	2,736	2,258
71	2,375	2,444	2,361	2,658	2,799	2,395
72	2,527	2,557	2,542	2,764	2,851	2,533
73	2,618	2,614	2,655	2,841	2,890	2,671
74	2,710	2,666	2,774	2,899	2,911	2,803
75	2,789	2,702	2,883	2,932	2,912	2,928
76	2,832	2,707	2,950	2,971	2,891	3,039
77	2,852	2,688	2,994	3,019	2,844	3,132
78	2,888	2,674	3,064	3,000	2,772	3,201
79	2,853	2,605	3,052	2,955	2,676	3,241
80	2,842	2,546	3,078	2,924	2,557	3,249
81	2,719	2,409	2,966	2,834	2,418	3,223
82	2,671	2,318	2,955	2,692	2,261	3,159
83	2,545	2,169	2,850	2,514	2,089	3,057
84	2,407	2,014	2,732	2,332	1,903	2,918
85	2,219	1,819	2,554	2,138	1,707	2,743
86	2,022	1,627	2,357	1,913	1,505	2,536
87	1,803	1,424	2,129	1,698	1,301	2,303
88	1,587	1,228	1,900	1,500	1,103	2,052
89	1,366	1,035	1,657	1,303	915	1,793
90	1,173	865	1,447	1,094	744	1,534
91	959	695	1,195	902	591	1,284
92	791	558	1,001	732	460	1,051
93	631	435	810	579	349	840
94	493	331	643	442	258.4	655
95	377	246.6	499	329	186.3	497
96	279.6	177.9	375	239.1	130.6	367
97	201.5	124.9	273.7	168.1	88.9	262.8
98	141.4	85.4	194.6	115.1	58.8	182.7
99	98	57.6	136.6	77.2	37.7	123.1
100	10.5	0	24.3	0	0	7

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 the Marshall Islands 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 Marshall Islands: Quantitative Profiles

By topic vs comparisons:

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