Life Expectancy in Guinea-Bissau vs Kenya (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 Kenya: 71.4 years vs 68.9 at 30, 78.7 vs 79.1 at 65, 86.1 vs 87 at 80 — significantly higher than the 64.6 vs 64.2 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 Kenya.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Kenya
	Average	Male	Female	Average	Male	Female
0	64.6	62.1	66.9	64.2	62	66.5
1	67.7	65.5	69.8	66	64	68.2
2	68.3	66.1	70.4	66.3	64.3	68.5
3	68.7	66.5	70.7	66.5	64.4	68.7
4	68.9	66.7	70.9	66.7	64.6	68.9
5	69.1	66.9	71.1	66.8	64.7	69
6	69.2	67	71.2	66.8	64.7	69
7	69.3	67.1	71.3	66.9	64.8	69.1
8	69.4	67.2	71.4	66.9	64.8	69.1
9	69.5	67.3	71.5	67	64.9	69.2
10	69.6	67.4	71.5	67	64.9	69.2
11	69.6	67.4	71.6	67.1	65	69.3
12	69.7	67.5	71.7	67.1	65	69.3
13	69.7	67.6	71.7	67.1	65	69.3
14	69.8	67.6	71.8	67.2	65.1	69.4
15	69.9	67.7	71.8	67.2	65.1	69.4
16	69.9	67.8	71.9	67.3	65.2	69.5
17	70	67.9	72	67.4	65.3	69.5
18	70.1	68	72	67.4	65.3	69.6
19	70.2	68.1	72.1	67.5	65.4	69.7
20	70.3	68.2	72.2	67.6	65.5	69.8
21	70.4	68.3	72.3	67.7	65.6	69.8
22	70.5	68.4	72.4	67.8	65.8	69.9
23	70.6	68.5	72.4	67.9	65.9	70
24	70.7	68.7	72.5	68	66	70.1
25	70.8	68.8	72.6	68.2	66.1	70.3
26	70.9	68.9	72.7	68.3	66.3	70.4
27	71.1	69.1	72.8	68.4	66.4	70.5
28	71.2	69.2	72.9	68.6	66.6	70.6
29	71.3	69.3	73	68.7	66.7	70.8
30	71.4	69.5	73.1	68.9	66.9	70.9
31	71.5	69.6	73.2	69.1	67.1	71.1
32	71.7	69.7	73.3	69.2	67.3	71.2
33	71.8	69.9	73.4	69.4	67.5	71.4
34	71.9	70	73.5	69.6	67.6	71.6
35	72	70.2	73.7	69.8	67.8	71.8
36	72.2	70.3	73.8	70	68.1	71.9
37	72.3	70.5	73.9	70.2	68.3	72.1
38	72.5	70.7	74	70.4	68.5	72.3
39	72.6	70.8	74.2	70.6	68.7	72.5
40	72.8	71	74.3	70.8	69	72.8
41	72.9	71.2	74.4	71.1	69.2	73
42	73.1	71.4	74.6	71.3	69.5	73.2
43	73.3	71.5	74.7	71.6	69.8	73.4
44	73.4	71.7	74.8	71.8	70.1	73.6
45	73.6	71.9	75	72.1	70.3	73.9
46	73.8	72.1	75.1	72.4	70.6	74.1
47	74	72.4	75.3	72.6	70.9	74.4
48	74.2	72.6	75.5	72.9	71.2	74.6
49	74.4	72.8	75.6	73.2	71.6	74.9
50	74.6	73	75.8	73.5	71.9	75.1
51	74.8	73.3	76	73.8	72.2	75.4
52	75	73.5	76.2	74.1	72.6	75.7
53	75.2	73.8	76.4	74.5	72.9	76
54	75.5	74.1	76.6	74.8	73.3	76.3
55	75.7	74.4	76.8	75.1	73.7	76.6
56	76	74.7	77	75.5	74	76.9
57	76.3	75	77.2	75.8	74.4	77.2
58	76.5	75.3	77.5	76.2	74.8	77.5
59	76.8	75.6	77.7	76.6	75.2	77.8
60	77.1	75.9	78	77	75.6	78.2
61	77.4	76.3	78.2	77.4	76.1	78.5
62	77.7	76.6	78.5	77.8	76.5	78.9
63	78	77	78.8	78.2	77	79.2
64	78.4	77.4	79.1	78.6	77.5	79.6
65	78.7	77.8	79.4	79.1	78	80
66	79.1	78.2	79.8	79.5	78.5	80.5
67	79.5	78.6	80.1	80	79	80.9
68	79.9	79.1	80.5	80.5	79.5	81.3
69	80.3	79.5	80.9	81	80	81.8
70	80.7	80	81.3	81.5	80.5	82.2
71	81.2	80.5	81.7	82	81.1	82.7
72	81.7	81	82.1	82.5	81.6	83.2
73	82.2	81.5	82.6	83	82.2	83.7
74	82.7	82.1	83.1	83.6	82.8	84.2
75	83.2	82.6	83.6	84.1	83.3	84.7
76	83.7	83.2	84.1	84.6	83.9	85.2
77	84.3	83.8	84.7	85.2	84.5	85.7
78	84.9	84.4	85.2	85.8	85.1	86.3
79	85.5	85.1	85.8	86.4	85.7	86.8
80	86.1	85.7	86.4	87	86.3	87.4
81	86.8	86.4	87	87.6	87	87.9
82	87.4	87.1	87.7	88.2	87.6	88.5
83	88.1	87.8	88.3	88.8	88.3	89.1
84	88.8	88.5	89	89.5	89	89.7
85	89.5	89.3	89.7	90.1	89.7	90.4
86	90.3	90	90.4	90.8	90.4	91.1
87	91	90.8	91.2	91.6	91.1	91.8
88	91.8	91.6	92	92.3	91.9	92.5
89	92.6	92.4	92.7	93	92.7	93.2
90	93.4	93.2	93.5	93.8	93.5	94
91	94.2	94	94.3	94.6	94.3	94.7
92	95	94.9	95.1	95.4	95.1	95.5
93	95.9	95.7	95.9	96.2	95.9	96.3
94	96.7	96.6	96.8	97	96.8	97.1
95	97.6	97.4	97.6	97.8	97.6	97.9
96	98.4	98.3	98.5	98.7	98.5	98.8
97	99.3	99.2	99.4	99.5	99.4	99.6
98	100.2	100.1	100.3	100.4	100.2	100.5
99	101.1	101	101.2	101.3	101.1	101.4
100	102	101.9	102.1	102.2	102	102.2

Odds of living to age in Guinea-Bissau vs Kenya

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71.3% in Guinea-Bissau and 66% in Kenya are expected to survive till at least 60 years old, 54.3% and 47.6% will live to 70 years or older, 27.5% and 25.7% to 80+ years, and 5.32% and 6.54% 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			Kenya
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.9%	97.2%	96.8%	97.5%
2	94.5%	94%	95.1%	96.7%	96.4%	97%
3	94%	93.4%	94.6%	96.4%	96.1%	96.7%
4	93.6%	93%	94.2%	96.2%	95.9%	96.5%
5	93.4%	92.8%	94%	96.1%	95.8%	96.4%
6	93.2%	92.6%	93.8%	96%	95.7%	96.3%
7	93.1%	92.4%	93.7%	95.9%	95.6%	96.2%
8	92.9%	92.3%	93.6%	95.8%	95.5%	96.1%
9	92.8%	92.2%	93.5%	95.7%	95.4%	96.1%
10	92.7%	92%	93.4%	95.7%	95.3%	96%
11	92.6%	91.9%	93.3%	95.6%	95.3%	95.9%
12	92.5%	91.8%	93.2%	95.5%	95.2%	95.9%
13	92.4%	91.7%	93.1%	95.5%	95.1%	95.8%
14	92.3%	91.6%	93%	95.4%	95%	95.7%
15	92.2%	91.5%	92.9%	95.3%	95%	95.7%
16	92.1%	91.4%	92.8%	95.2%	94.8%	95.6%
17	92%	91.2%	92.7%	95.1%	94.7%	95.5%
18	91.8%	91%	92.6%	94.9%	94.6%	95.3%
19	91.6%	90.9%	92.5%	94.8%	94.4%	95.2%
20	91.5%	90.6%	92.3%	94.6%	94.2%	95%
21	91.3%	90.4%	92.2%	94.4%	93.9%	94.9%
22	91.1%	90.2%	92%	94.2%	93.7%	94.7%
23	90.9%	89.9%	91.8%	94%	93.4%	94.5%
24	90.7%	89.7%	91.7%	93.7%	93.1%	94.3%
25	90.4%	89.4%	91.5%	93.4%	92.8%	94%
26	90.2%	89.1%	91.3%	93.1%	92.5%	93.8%
27	90%	88.9%	91.1%	92.8%	92.2%	93.5%
28	89.7%	88.6%	90.9%	92.5%	91.8%	93.2%
29	89.5%	88.3%	90.7%	92.2%	91.4%	92.9%
30	89.2%	88%	90.5%	91.8%	91%	92.6%
31	89%	87.7%	90.3%	91.4%	90.6%	92.2%
32	88.7%	87.4%	90.1%	91%	90.1%	91.9%
33	88.4%	87%	89.8%	90.6%	89.7%	91.5%
34	88.1%	86.7%	89.6%	90.1%	89.2%	91%
35	87.8%	86.3%	89.3%	89.6%	88.6%	90.6%
36	87.5%	85.9%	89%	89.1%	88%	90.1%
37	87.1%	85.5%	88.8%	88.5%	87.4%	89.7%
38	86.8%	85.1%	88.5%	88%	86.8%	89.1%
39	86.4%	84.7%	88.1%	87.4%	86.1%	88.6%
40	86%	84.2%	87.8%	86.7%	85.4%	88.1%
41	85.6%	83.7%	87.5%	86%	84.6%	87.5%
42	85.1%	83.2%	87.1%	85.3%	83.8%	86.9%
43	84.7%	82.7%	86.7%	84.6%	83%	86.2%
44	84.2%	82.1%	86.3%	83.9%	82.1%	85.6%
45	83.7%	81.5%	85.9%	83.1%	81.2%	84.9%
46	83.1%	80.9%	85.4%	82.2%	80.3%	84.2%
47	82.6%	80.2%	85%	81.4%	79.3%	83.5%
48	82%	79.5%	84.5%	80.4%	78.3%	82.7%
49	81.3%	78.8%	84%	79.5%	77.2%	81.9%
50	80.7%	78%	83.4%	78.5%	76.1%	81%
51	79.9%	77.1%	82.8%	77.4%	74.9%	80.1%
52	79.2%	76.2%	82.2%	76.4%	73.6%	79.2%
53	78.4%	75.3%	81.5%	75.2%	72.4%	78.2%
54	77.5%	74.3%	80.8%	74.1%	71%	77.2%
55	76.6%	73.2%	80%	72.8%	69.7%	76.2%
56	75.7%	72.1%	79.2%	71.6%	68.2%	75.1%
57	74.7%	70.9%	78.4%	70.3%	66.8%	74%
58	73.6%	69.7%	77.5%	68.9%	65.2%	72.8%
59	72.5%	68.4%	76.5%	67.5%	63.7%	71.6%
60	71.3%	67.1%	75.4%	66%	62%	70.3%
61	70%	65.6%	74.3%	64.5%	60.3%	68.9%
62	68.6%	64%	73.1%	62.8%	58.5%	67.5%
63	67.2%	62.4%	71.8%	61.1%	56.6%	66%
64	65.6%	60.6%	70.4%	59.4%	54.7%	64.4%
65	64%	58.8%	68.8%	57.5%	52.7%	62.7%
66	62.2%	56.9%	67.2%	55.6%	50.6%	60.9%
67	60.4%	54.9%	65.5%	53.7%	48.5%	59.1%
68	58.5%	52.8%	63.6%	51.7%	46.5%	57.2%
69	56.4%	50.6%	61.7%	49.7%	44.4%	55.3%
70	54.3%	48.3%	59.6%	47.6%	42.2%	53.3%
71	51.9%	45.9%	57.3%	45.5%	40.1%	51.3%
72	49.6%	43.5%	54.9%	43.4%	37.9%	49.2%
73	47%	40.9%	52.4%	41.3%	35.8%	47%
74	44.4%	38.3%	49.7%	39.1%	33.6%	44.8%
75	41.7%	35.6%	46.9%	36.9%	31.4%	42.6%
76	38.9%	32.9%	44.1%	34.6%	29.2%	40.3%
77	36.1%	30.2%	41.1%	32.4%	27.1%	38%
78	33.2%	27.5%	38.1%	30.1%	24.9%	35.7%
79	30.4%	24.9%	35.1%	27.9%	22.8%	33.3%
80	27.5%	22.3%	32%	25.7%	20.7%	31%
81	24.7%	19.7%	28.9%	23.5%	18.7%	28.6%
82	21.9%	17.3%	26%	21.4%	16.7%	26.3%
83	19.3%	15%	23%	19.2%	14.8%	23.9%
84	16.7%	12.8%	20.2%	17.1%	12.9%	21.5%
85	14.3%	10.8%	17.4%	15%	11.2%	19.1%
86	12.1%	8.99%	14.9%	13.1%	9.5%	16.7%
87	10.1%	7.36%	12.5%	11.2%	7.98%	14.5%
88	8.27%	5.94%	10.4%	9.51%	6.6%	12.4%
89	6.68%	4.71%	8.48%	7.94%	5.38%	10.5%
90	5.32%	3.67%	6.82%	6.54%	4.31%	8.75%
91	4.14%	2.81%	5.38%	5.28%	3.39%	7.15%
92	3.19%	2.11%	4.18%	4.21%	2.63%	5.77%
93	2.4%	1.55%	3.18%	3.29%	1.99%	4.57%
94	1.76%	1.12%	2.37%	2.52%	1.48%	3.54%
95	1.27%	0.79%	1.73%	1.89%	1.07%	2.69%
96	0.89%	0.54%	1.23%	1.38%	0.76%	2%
97	0.61%	0.36%	0.85%	0.99%	0.53%	1.45%
98	0.41%	0.24%	0.58%	0.69%	0.36%	1.03%
99	0.27%	0.15%	0.39%	0.48%	0.24%	0.72%
100	0.17%	0.1%	0.25%	0.32%	0.15%	0.49%

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 2.82% in Kenya, 0.3% vs 0.42% at age 30, 1.82% vs 2.36% at 60, and 10.3% vs 8.53% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Kenya
	Average	Male	Female	Average	Male	Female
0	4.65%	5.15%	4.15%	2.82%	3.15%	2.48%
1	0.88%	0.94%	0.83%	0.47%	0.44%	0.49%
2	0.54%	0.58%	0.5%	0.3%	0.29%	0.3%
3	0.37%	0.4%	0.35%	0.21%	0.21%	0.2%
4	0.26%	0.28%	0.25%	0.15%	0.15%	0.15%
5	0.2%	0.21%	0.19%	0.11%	0.12%	0.11%
6	0.17%	0.18%	0.15%	0.1%	0.1%	0.09%
7	0.14%	0.15%	0.13%	0.09%	0.09%	0.08%
8	0.12%	0.13%	0.11%	0.08%	0.08%	0.07%
9	0.11%	0.12%	0.1%	0.07%	0.08%	0.07%
10	0.11%	0.12%	0.09%	0.07%	0.07%	0.07%
11	0.1%	0.11%	0.09%	0.07%	0.08%	0.07%
12	0.1%	0.11%	0.09%	0.07%	0.08%	0.07%
13	0.11%	0.12%	0.1%	0.08%	0.09%	0.08%
14	0.12%	0.13%	0.1%	0.09%	0.1%	0.08%
15	0.13%	0.14%	0.11%	0.11%	0.12%	0.1%
16	0.14%	0.16%	0.12%	0.13%	0.14%	0.11%
17	0.16%	0.19%	0.13%	0.15%	0.17%	0.13%
18	0.18%	0.21%	0.14%	0.17%	0.2%	0.15%
19	0.19%	0.23%	0.15%	0.19%	0.22%	0.16%
20	0.21%	0.25%	0.16%	0.21%	0.24%	0.18%
21	0.22%	0.26%	0.17%	0.23%	0.26%	0.19%
22	0.23%	0.28%	0.18%	0.25%	0.28%	0.21%
23	0.24%	0.29%	0.18%	0.27%	0.31%	0.23%
24	0.24%	0.3%	0.19%	0.29%	0.32%	0.25%
25	0.25%	0.3%	0.2%	0.31%	0.35%	0.27%
26	0.26%	0.31%	0.21%	0.33%	0.37%	0.29%
27	0.27%	0.32%	0.22%	0.35%	0.39%	0.31%
28	0.28%	0.33%	0.22%	0.37%	0.42%	0.33%
29	0.28%	0.34%	0.23%	0.4%	0.44%	0.36%
30	0.3%	0.35%	0.24%	0.42%	0.47%	0.38%
31	0.31%	0.36%	0.25%	0.45%	0.5%	0.4%
32	0.32%	0.38%	0.27%	0.48%	0.53%	0.43%
33	0.34%	0.4%	0.28%	0.51%	0.57%	0.45%
34	0.36%	0.42%	0.29%	0.54%	0.61%	0.48%
35	0.37%	0.44%	0.31%	0.58%	0.65%	0.51%
36	0.39%	0.47%	0.32%	0.62%	0.69%	0.54%
37	0.41%	0.49%	0.34%	0.65%	0.74%	0.57%
38	0.44%	0.52%	0.36%	0.69%	0.79%	0.6%
39	0.46%	0.55%	0.38%	0.73%	0.83%	0.63%
40	0.49%	0.58%	0.4%	0.78%	0.89%	0.66%
41	0.51%	0.61%	0.42%	0.81%	0.93%	0.69%
42	0.55%	0.65%	0.45%	0.86%	0.98%	0.72%
43	0.57%	0.69%	0.46%	0.9%	1.04%	0.76%
44	0.61%	0.73%	0.49%	0.95%	1.1%	0.79%
45	0.65%	0.78%	0.52%	1%	1.17%	0.84%
46	0.68%	0.82%	0.54%	1.06%	1.23%	0.88%
47	0.72%	0.88%	0.58%	1.12%	1.3%	0.93%
48	0.77%	0.94%	0.62%	1.19%	1.38%	0.98%
49	0.83%	1.01%	0.66%	1.25%	1.47%	1.04%
50	0.9%	1.09%	0.72%	1.34%	1.57%	1.1%
51	0.94%	1.15%	0.76%	1.4%	1.64%	1.15%
52	1.03%	1.25%	0.83%	1.48%	1.74%	1.22%
53	1.09%	1.33%	0.88%	1.56%	1.83%	1.28%
54	1.16%	1.42%	0.94%	1.64%	1.93%	1.35%
55	1.24%	1.51%	1%	1.73%	2.05%	1.42%
56	1.32%	1.61%	1.08%	1.83%	2.15%	1.51%
57	1.41%	1.72%	1.15%	1.93%	2.28%	1.59%
58	1.53%	1.86%	1.26%	2.05%	2.43%	1.7%
59	1.65%	2.01%	1.36%	2.19%	2.59%	1.81%
60	1.82%	2.2%	1.52%	2.36%	2.81%	1.94%
61	1.94%	2.35%	1.62%	2.51%	2.97%	2.08%
62	2.13%	2.58%	1.8%	2.7%	3.2%	2.25%
63	2.31%	2.79%	1.97%	2.9%	3.42%	2.42%
64	2.51%	3.02%	2.16%	3.11%	3.65%	2.61%
65	2.73%	3.28%	2.37%	3.34%	3.91%	2.83%
66	2.94%	3.52%	2.57%	3.5%	4.08%	2.98%
67	3.2%	3.82%	2.82%	3.68%	4.29%	3.16%
68	3.51%	4.15%	3.11%	3.89%	4.52%	3.36%
69	3.82%	4.5%	3.4%	4.11%	4.77%	3.57%
70	4.26%	4.97%	3.84%	4.41%	5.1%	3.84%
71	4.57%	5.32%	4.12%	4.64%	5.36%	4.06%
72	5.1%	5.88%	4.63%	4.99%	5.75%	4.38%
73	5.56%	6.39%	5.07%	5.3%	6.1%	4.68%
74	6.1%	6.96%	5.58%	5.66%	6.5%	5.01%
75	6.69%	7.58%	6.14%	6.05%	6.94%	5.37%
76	7.28%	8.22%	6.7%	6.48%	7.39%	5.74%
77	7.9%	8.89%	7.28%	6.92%	7.88%	6.11%
78	8.69%	9.71%	8.04%	7.44%	8.49%	6.6%
79	9.4%	10.5%	8.71%	7.9%	9.07%	7.01%
80	10.3%	11.4%	9.62%	8.53%	9.8%	7.62%
81	11%	12.2%	10.3%	9.13%	10.5%	8.19%
82	12.2%	13.4%	11.4%	10.1%	11.6%	9.19%
83	13.2%	14.5%	12.4%	11%	12.6%	10.1%
84	14.4%	15.7%	13.6%	12%	13.7%	11.1%
85	15.5%	16.8%	14.7%	13%	14.8%	12.2%
86	16.7%	18.1%	15.9%	14.2%	16%	13.3%
87	17.9%	19.3%	17%	15.3%	17.2%	14.3%
88	19.2%	20.7%	18.3%	16.5%	18.5%	15.5%
89	20.4%	22%	19.5%	17.7%	19.8%	16.7%
90	22.1%	23.6%	21.2%	19.2%	21.3%	18.3%
91	23.1%	24.8%	22.2%	20.3%	22.6%	19.3%
92	24.8%	26.4%	23.9%	21.9%	24.3%	20.9%
93	26.3%	28%	25.5%	23.4%	25.8%	22.4%
94	28%	29.6%	27.1%	25.1%	27.5%	24%
95	29.7%	31.3%	28.9%	26.7%	29.1%	25.8%
96	31.3%	32.8%	30.5%	28.3%	30.6%	27.4%
97	32.8%	34.3%	32%	29.9%	32.1%	28.9%
98	34.2%	35.7%	33.5%	31.3%	33.6%	30.4%
99	36.1%	37.5%	35.4%	33.2%	35.4%	32.3%
100	37.5%	38.9%	36.9%	34.7%	36.8%	33.8%

Death rate by age in Guinea-Bissau compared to Kenya

In Guinea-Bissau, the most common age of death is 0, compared to 0 in Kenya. The median age of death is 71.8 in Guinea-Bissau and 68.8 in Kenya — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Kenya
	Total	Male	Female	Total	Male	Female
0	4,655	5,152	4,147	2,818	3,154	2,478
1	843	888	797	454	428	480
2	511	542	480	288.3	281.8	294.8
3	349	371	327	197.9	197.7	198
4	247.5	262.6	231.7	144	146.8	141.1
5	187.5	199.5	175	109.2	111.8	106.5
6	154.2	165.3	142.6	92.5	96.3	88.6
7	130.9	141.4	119.9	82.4	86.7	78.1
8	114.4	124.3	104.1	74.2	78.3	70.1
9	103.7	113.1	93.9	69	72.4	65.5
10	97.5	106.1	88.5	66.7	70.3	63.1
11	94.7	102.7	86.4	67.3	72.1	62.5
12	95.9	104.1	87.3	70.4	75.3	65.4
13	100.2	109.3	90.8	76.9	81.8	72
14	108.2	118.9	97	87.5	93.7	81.2
15	118.9	131.9	105.5	102.9	111	94.6
16	133.3	150.2	115.7	119.7	131.5	107.6
17	147.6	170	124.3	140.3	157.5	122.8
18	162.7	190.8	133.7	162.4	185.4	139
19	175.7	208.8	141.4	180.2	205.8	154.3
20	187.7	225.3	148.9	198.6	226.6	170.5
21	198.1	239.1	155.7	214.5	246.6	182.5
22	207.1	250.3	162.5	232.9	266.5	199.6
23	214.4	258.3	169.1	250.7	285.1	216.8
24	220.9	264.6	175.9	268.3	303	234.5
25	226.7	269.7	182.4	287	322	252.9
26	232.7	275	189.2	306	340	273.1
27	239.2	281.1	196.1	326	361	293.5
28	247.1	288.9	204.1	346	382	311
29	254.6	297.3	210.8	367	404	332
30	265.8	309	221	390	431	351
31	272.8	318	226.6	409	452	367
32	287.1	334	238.9	435	481	391
33	299.4	348	249.4	461	510	412
34	313	364	260.9	489	543	436
35	329	383	273.7	521	578	464
36	345	401	287.1	549	611	487
37	360	420	300	580	647	511
38	381	442	318	610	682	536
39	399	463	332	639	716	559
40	423	492	353	673	757	584
41	438	509	364	699	786	605
42	467	543	389	730	824	628
43	486	566	403	761	861	653
44	510	597	422	794	900	679
45	540	633	445	834	947	710
46	565	663	465	869	988	739
47	596	702	489	910	1,034	774
48	635	748	523	954	1,084	811
49	673	794	555	997	1,133	850
50	724	853	602	1,049	1,193	892
51	755	890	627	1,084	1,231	924
52	812	952	680	1,132	1,283	967
53	854	1,000	715	1,171	1,326	1,002
54	903	1,054	760	1,215	1,373	1,042
55	949	1,106	803	1,262	1,425	1,085
56	1,002	1,164	854	1,307	1,469	1,132
57	1,055	1,223	903	1,358	1,522	1,180
58	1,127	1,299	974	1,416	1,584	1,236
59	1,195	1,374	1,041	1,477	1,648	1,294
60	1,297	1,477	1,147	1,560	1,739	1,366
61	1,354	1,541	1,204	1,618	1,792	1,432
62	1,463	1,651	1,319	1,699	1,873	1,515
63	1,551	1,740	1,414	1,770	1,935	1,595
64	1,645	1,832	1,517	1,844	1,998	1,682
65	1,748	1,928	1,631	1,921	2,060	1,776
66	1,830	2,002	1,725	1,944	2,067	1,816
67	1,934	2,096	1,843	1,976	2,083	1,867
68	2,051	2,193	1,979	2,012	2,102	1,922
69	2,152	2,277	2,096	2,043	2,116	1,972
70	2,313	2,399	2,287	2,099	2,153	2,048
71	2,375	2,444	2,361	2,112	2,148	2,080
72	2,527	2,557	2,542	2,166	2,180	2,156
73	2,618	2,614	2,655	2,188	2,182	2,200
74	2,710	2,666	2,774	2,212	2,183	2,248
75	2,789	2,702	2,883	2,230	2,178	2,289
76	2,832	2,707	2,950	2,243	2,160	2,313
77	2,852	2,688	2,994	2,240	2,132	2,320
78	2,888	2,674	3,064	2,244	2,116	2,353
79	2,853	2,605	3,052	2,204	2,068	2,335
80	2,842	2,546	3,078	2,192	2,033	2,362
81	2,719	2,409	2,966	2,146	1,973	2,345
82	2,671	2,318	2,955	2,159	1,941	2,415
83	2,545	2,169	2,850	2,113	1,864	2,409
84	2,407	2,014	2,732	2,058	1,776	2,391
85	2,219	1,819	2,554	1,959	1,651	2,316
86	2,022	1,627	2,357	1,852	1,523	2,224
87	1,803	1,424	2,129	1,711	1,375	2,084
88	1,587	1,228	1,900	1,565	1,223	1,933
89	1,366	1,035	1,657	1,403	1,066	1,756
90	1,173	865	1,447	1,255	920	1,598
91	959	695	1,195	1,072	767	1,378
92	791	558	1,001	923	638	1,207
93	631	435	810	771	514	1,023
94	493	331	643	631	405	851
95	377	246.6	499	505	311	693
96	279.6	177.9	375	392	232.6	547
97	201.5	124.9	273.7	295.7	169.3	419
98	141.4	85.4	194.6	217.5	120.1	313
99	98	57.6	136.6	158.4	84	232.3
100	10.5	0	24.3	53.6	13.4	94.3

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 Kenya 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 Kenya: Data-driven Comparison

By topic vs comparisons:

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