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

Life expectancy by current age

Chart Table

Guinea-Bissau

Male

Female

Kenya

Male

Female

1x

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

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 68.9 in Kenya, rising to 78.7 and 79.1 at 65, and to 86.1 and 87 at 80 — higher than the 64.6 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Guinea-Bissau

Male

Female

Kenya

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 71.3% of newborns in Guinea-Bissau and 66% in Kenya are expected to live past 60, 54.3% and 47.6% past 70, 27.5% and 25.7% past 80, and only 5.32% and 6.54% 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

Kenya

Male

Female

1x

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

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

Death rate by age in Guinea-Bissau vs Kenya

Chart Table

Guinea-Bissau

Male

Female

Kenya

Male

Female

1x

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

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 0 in Kenya. The median age of death is 71.8 in Guinea-Bissau and 68.8 in Kenya, 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 Kenya more than their death rates.

Life expectancy in other countries

+ -

1x