Life Expectancy in Guinea-Bissau vs Zimbabwe (1950-2025)

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 Zimbabwe: 71.3 years vs 68.4 at 30, 78.7 vs 78.3 at 65, 86.1 vs 86.4 at 80 — significantly higher than the 64.4 vs 63.3 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 Zimbabwe.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	64.4	62	66.7	63.3	60.8	65.6
1	67.6	65.4	69.7	65.4	62.9	67.5
2	68.2	66	70.2	65.7	63.2	67.8
3	68.6	66.4	70.6	65.9	63.4	68.1
4	68.8	66.6	70.8	66.1	63.6	68.2
5	69	66.8	71	66.2	63.7	68.3
6	69.1	66.9	71.1	66.2	63.7	68.4
7	69.2	67	71.2	66.3	63.8	68.4
8	69.3	67.1	71.3	66.4	63.9	68.5
9	69.4	67.2	71.4	66.4	63.9	68.5
10	69.5	67.3	71.4	66.5	64	68.6
11	69.5	67.3	71.5	66.5	64	68.6
12	69.6	67.4	71.6	66.5	64	68.7
13	69.6	67.5	71.6	66.6	64.1	68.7
14	69.7	67.5	71.7	66.6	64.1	68.8
15	69.8	67.6	71.7	66.7	64.2	68.8
16	69.8	67.7	71.8	66.7	64.3	68.9
17	69.9	67.8	71.9	66.8	64.3	68.9
18	70	67.9	71.9	66.9	64.4	69
19	70.1	68	72	67	64.5	69.1
20	70.2	68.1	72.1	67.1	64.6	69.1
21	70.3	68.2	72.2	67.2	64.7	69.2
22	70.4	68.3	72.3	67.3	64.8	69.3
23	70.5	68.5	72.4	67.4	65	69.4
24	70.6	68.6	72.5	67.5	65.1	69.5
25	70.7	68.7	72.5	67.6	65.2	69.7
26	70.9	68.8	72.6	67.8	65.4	69.8
27	71	69	72.7	67.9	65.5	69.9
28	71.1	69.1	72.8	68.1	65.7	70
29	71.2	69.2	72.9	68.2	65.8	70.2
30	71.3	69.4	73	68.4	66	70.3
31	71.5	69.5	73.2	68.5	66.2	70.5
32	71.6	69.7	73.3	68.7	66.4	70.6
33	71.7	69.8	73.4	68.9	66.6	70.8
34	71.8	70	73.5	69.1	66.8	71
35	72	70.1	73.6	69.3	67	71.2
36	72.1	70.3	73.7	69.5	67.2	71.3
37	72.3	70.4	73.8	69.7	67.4	71.5
38	72.4	70.6	74	69.9	67.6	71.7
39	72.6	70.8	74.1	70.1	67.9	71.9
40	72.7	70.9	74.2	70.3	68.1	72.1
41	72.9	71.1	74.4	70.6	68.4	72.3
42	73	71.3	74.5	70.8	68.6	72.6
43	73.2	71.5	74.6	71	68.9	72.8
44	73.4	71.7	74.8	71.3	69.2	73
45	73.6	71.9	74.9	71.6	69.5	73.2
46	73.7	72.1	75.1	71.8	69.8	73.5
47	73.9	72.3	75.3	72.1	70.1	73.7
48	74.1	72.5	75.4	72.4	70.4	74
49	74.3	72.8	75.6	72.6	70.7	74.2
50	74.5	73	75.8	72.9	71	74.5
51	74.8	73.2	76	73.2	71.4	74.7
52	75	73.5	76.1	73.5	71.7	75
53	75.2	73.8	76.3	73.9	72.1	75.3
54	75.5	74	76.5	74.2	72.4	75.6
55	75.7	74.3	76.8	74.5	72.8	75.9
56	76	74.6	77	74.8	73.1	76.2
57	76.2	74.9	77.2	75.2	73.5	76.5
58	76.5	75.2	77.4	75.5	73.9	76.8
59	76.8	75.5	77.7	75.9	74.3	77.1
60	77.1	75.9	77.9	76.2	74.7	77.5
61	77.4	76.2	78.2	76.6	75.1	77.8
62	77.7	76.6	78.5	77	75.6	78.2
63	78	77	78.8	77.4	76	78.6
64	78.4	77.3	79.1	77.9	76.5	79
65	78.7	77.7	79.4	78.3	76.9	79.4
66	79.1	78.2	79.7	78.7	77.4	79.8
67	79.5	78.6	80.1	79.2	77.9	80.2
68	79.9	79	80.5	79.7	78.4	80.6
69	80.3	79.5	80.8	80.2	78.9	81.1
70	80.7	80	81.2	80.6	79.5	81.6
71	81.2	80.5	81.7	81.2	80	82
72	81.6	81	82.1	81.7	80.6	82.5
73	82.1	81.5	82.6	82.2	81.1	83
74	82.6	82	83.1	82.8	81.7	83.5
75	83.2	82.6	83.6	83.3	82.3	84.1
76	83.7	83.2	84.1	83.9	82.9	84.6
77	84.3	83.8	84.6	84.5	83.6	85.2
78	84.9	84.4	85.2	85.1	84.2	85.7
79	85.5	85.1	85.8	85.7	84.9	86.3
80	86.1	85.7	86.4	86.4	85.6	86.9
81	86.8	86.4	87	87	86.3	87.5
82	87.4	87.1	87.7	87.7	87	88.1
83	88.1	87.8	88.3	88.3	87.7	88.7
84	88.8	88.5	89	89	88.4	89.4
85	89.5	89.2	89.7	89.8	89.2	90.1
86	90.3	90	90.4	90.5	90	90.8
87	91	90.8	91.2	91.2	90.8	91.5
88	91.8	91.6	91.9	92	91.6	92.2
89	92.6	92.4	92.7	92.8	92.4	93
90	93.4	93.2	93.5	93.6	93.2	93.7
91	94.2	94	94.3	94.4	94	94.5
92	95	94.9	95.1	95.2	94.9	95.3
93	95.9	95.7	95.9	96	95.7	96.1
94	96.7	96.6	96.8	96.9	96.6	97
95	97.6	97.4	97.6	97.7	97.5	97.8
96	98.4	98.3	98.5	98.6	98.4	98.7
97	99.3	99.2	99.4	99.5	99.2	99.5
98	100.2	100.1	100.3	100.4	100.1	100.4
99	101.1	101	101.2	101.2	101	101.3
100	102	101.9	102.1	102.2	101.9	102.2

Odds of living to age in Guinea-Bissau vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71% in Guinea-Bissau and 65.6% in Zimbabwe are expected to survive till at least 60 years old, 54% and 46.8% will live to 70 years or older, 27.3% and 23.2% to 80+ years, and 5.25% and 4.89% 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			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.8%	96.9%	96.5%	97.2%
2	94.4%	93.9%	95%	96.4%	96%	96.7%
3	93.9%	93.3%	94.5%	96.1%	95.7%	96.4%
4	93.5%	92.9%	94.1%	95.8%	95.5%	96.2%
5	93.3%	92.7%	93.9%	95.7%	95.4%	96%
6	93.1%	92.5%	93.7%	95.6%	95.2%	95.9%
7	92.9%	92.3%	93.6%	95.5%	95.1%	95.8%
8	92.8%	92.2%	93.4%	95.4%	95%	95.7%
9	92.7%	92%	93.3%	95.3%	95%	95.6%
10	92.6%	91.9%	93.2%	95.2%	94.9%	95.6%
11	92.5%	91.8%	93.2%	95.1%	94.8%	95.5%
12	92.4%	91.7%	93.1%	95.1%	94.7%	95.4%
13	92.3%	91.6%	93%	95%	94.6%	95.4%
14	92.2%	91.5%	92.9%	94.9%	94.6%	95.3%
15	92.1%	91.4%	92.8%	94.8%	94.5%	95.2%
16	92%	91.2%	92.7%	94.7%	94.3%	95.1%
17	91.8%	91.1%	92.6%	94.6%	94.2%	95%
18	91.7%	90.9%	92.4%	94.4%	94%	94.9%
19	91.5%	90.7%	92.3%	94.3%	93.8%	94.7%
20	91.3%	90.5%	92.2%	94.1%	93.6%	94.5%
21	91.1%	90.3%	92%	93.9%	93.4%	94.4%
22	90.9%	90%	91.8%	93.7%	93.1%	94.2%
23	90.7%	89.8%	91.7%	93.4%	92.9%	94%
24	90.5%	89.5%	91.5%	93.2%	92.6%	93.8%
25	90.3%	89.3%	91.3%	92.9%	92.2%	93.5%
26	90.1%	89%	91.1%	92.6%	91.9%	93.3%
27	89.8%	88.7%	91%	92.3%	91.6%	93%
28	89.6%	88.4%	90.8%	91.9%	91.2%	92.7%
29	89.3%	88.1%	90.5%	91.6%	90.8%	92.4%
30	89.1%	87.8%	90.3%	91.2%	90.4%	92%
31	88.8%	87.5%	90.1%	90.8%	89.9%	91.7%
32	88.5%	87.2%	89.9%	90.4%	89.5%	91.3%
33	88.2%	86.9%	89.6%	90%	89%	90.9%
34	87.9%	86.5%	89.4%	89.5%	88.4%	90.5%
35	87.6%	86.1%	89.1%	89%	87.9%	90.1%
36	87.3%	85.8%	88.8%	88.5%	87.3%	89.6%
37	86.9%	85.4%	88.5%	87.9%	86.6%	89.1%
38	86.6%	84.9%	88.2%	87.4%	86%	88.6%
39	86.2%	84.5%	87.9%	86.7%	85.3%	88.1%
40	85.8%	84%	87.6%	86.1%	84.5%	87.5%
41	85.4%	83.5%	87.2%	85.4%	83.7%	87%
42	84.9%	83%	86.9%	84.7%	82.9%	86.4%
43	84.4%	82.5%	86.5%	84%	82.1%	85.7%
44	84%	81.9%	86.1%	83.2%	81.2%	85.1%
45	83.4%	81.3%	85.6%	82.5%	80.3%	84.4%
46	82.9%	80.7%	85.2%	81.6%	79.3%	83.7%
47	82.3%	80%	84.7%	80.8%	78.3%	82.9%
48	81.7%	79.3%	84.2%	79.9%	77.2%	82.2%
49	81.1%	78.5%	83.7%	78.9%	76.1%	81.3%
50	80.4%	77.7%	83.1%	78%	75%	80.5%
51	79.7%	76.9%	82.5%	76.9%	73.8%	79.6%
52	78.9%	76%	81.9%	75.9%	72.5%	78.7%
53	78.1%	75%	81.2%	74.8%	71.2%	77.7%
54	77.3%	74%	80.5%	73.6%	69.8%	76.7%
55	76.3%	73%	79.7%	72.4%	68.5%	75.6%
56	75.4%	71.8%	78.9%	71.2%	67%	74.5%
57	74.4%	70.7%	78.1%	69.9%	65.5%	73.3%
58	73.3%	69.5%	77.2%	68.5%	64%	72.1%
59	72.2%	68.2%	76.2%	67.1%	62.4%	70.9%
60	71%	66.8%	75.2%	65.6%	60.7%	69.6%
61	69.7%	65.3%	74%	64%	59%	68.1%
62	68.4%	63.8%	72.8%	62.4%	57.1%	66.7%
63	66.9%	62.1%	71.5%	60.7%	55.3%	65.1%
64	65.3%	60.4%	70.1%	58.9%	53.3%	63.5%
65	63.7%	58.5%	68.5%	57%	51.3%	61.8%
66	62%	56.6%	66.9%	55.1%	49.2%	59.9%
67	60.1%	54.6%	65.2%	53.1%	47.1%	58.1%
68	58.2%	52.5%	63.3%	51.1%	44.9%	56.1%
69	56.1%	50.3%	61.4%	49%	42.7%	54.1%
70	54%	48%	59.3%	46.8%	40.5%	52.1%
71	51.7%	45.6%	57%	44.6%	38.2%	49.9%
72	49.3%	43.2%	54.6%	42.3%	35.8%	47.7%
73	46.8%	40.7%	52.1%	39.9%	33.4%	45.4%
74	44.2%	38%	49.4%	37.6%	31%	43.1%
75	41.5%	35.4%	46.7%	35.2%	28.6%	40.7%
76	38.7%	32.7%	43.8%	32.7%	26.3%	38.3%
77	35.8%	30%	40.9%	30.3%	23.9%	35.8%
78	33%	27.3%	37.9%	27.9%	21.6%	33.4%
79	30.1%	24.7%	34.8%	25.5%	19.4%	30.9%
80	27.3%	22.1%	31.8%	23.2%	17.2%	28.5%
81	24.4%	19.5%	28.7%	20.9%	15.1%	26%
82	21.7%	17.1%	25.8%	18.7%	13.2%	23.6%
83	19.1%	14.8%	22.8%	16.5%	11.3%	21.2%
84	16.6%	12.7%	20%	14.4%	9.61%	18.8%
85	14.2%	10.7%	17.3%	12.4%	8.05%	16.5%
86	12%	8.89%	14.7%	10.6%	6.66%	14.3%
87	9.97%	7.28%	12.4%	8.93%	5.43%	12.2%
88	8.18%	5.87%	10.3%	7.41%	4.36%	10.3%
89	6.61%	4.65%	8.4%	6.06%	3.44%	8.59%
90	5.25%	3.63%	6.76%	4.89%	2.68%	7.05%
91	4.09%	2.77%	5.32%	3.87%	2.04%	5.66%
92	3.15%	2.08%	4.14%	3.02%	1.53%	4.5%
93	2.36%	1.53%	3.15%	2.31%	1.13%	3.5%
94	1.74%	1.1%	2.34%	1.74%	0.81%	2.66%
95	1.25%	0.78%	1.71%	1.28%	0.57%	1.99%
96	0.88%	0.53%	1.21%	0.92%	0.4%	1.45%
97	0.61%	0.36%	0.84%	0.65%	0.27%	1.03%
98	0.41%	0.24%	0.57%	0.45%	0.18%	0.72%
99	0.27%	0.15%	0.38%	0.3%	0.11%	0.49%
100	0.17%	0.09%	0.25%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.74% in the birth year in Guinea-Bissau and 3.14% in Zimbabwe, 0.3% vs 0.43% at age 30, 1.83% vs 2.4% at 60, and 10.4% vs 9.93% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	4.74%	5.23%	4.23%	3.14%	3.48%	2.78%
1	0.9%	0.95%	0.85%	0.51%	0.49%	0.54%
2	0.55%	0.58%	0.52%	0.33%	0.32%	0.33%
3	0.38%	0.4%	0.35%	0.23%	0.23%	0.22%
4	0.27%	0.29%	0.25%	0.16%	0.17%	0.16%
5	0.2%	0.22%	0.19%	0.12%	0.13%	0.12%
6	0.17%	0.18%	0.15%	0.11%	0.11%	0.1%
7	0.14%	0.15%	0.13%	0.09%	0.1%	0.09%
8	0.13%	0.14%	0.11%	0.08%	0.09%	0.08%
9	0.11%	0.12%	0.1%	0.08%	0.08%	0.07%
10	0.11%	0.12%	0.1%	0.08%	0.08%	0.07%
11	0.1%	0.11%	0.09%	0.08%	0.08%	0.07%
12	0.11%	0.11%	0.1%	0.08%	0.09%	0.07%
13	0.11%	0.12%	0.1%	0.09%	0.09%	0.08%
14	0.12%	0.13%	0.11%	0.1%	0.11%	0.09%
15	0.13%	0.15%	0.12%	0.11%	0.12%	0.11%
16	0.15%	0.17%	0.13%	0.13%	0.15%	0.12%
17	0.16%	0.19%	0.14%	0.16%	0.18%	0.14%
18	0.18%	0.21%	0.15%	0.18%	0.21%	0.15%
19	0.19%	0.23%	0.16%	0.2%	0.23%	0.17%
20	0.21%	0.25%	0.16%	0.22%	0.25%	0.19%
21	0.22%	0.27%	0.17%	0.24%	0.27%	0.2%
22	0.23%	0.28%	0.18%	0.26%	0.3%	0.22%
23	0.24%	0.29%	0.19%	0.28%	0.32%	0.24%
24	0.25%	0.3%	0.2%	0.3%	0.34%	0.25%
25	0.25%	0.31%	0.2%	0.32%	0.36%	0.27%
26	0.26%	0.31%	0.21%	0.34%	0.38%	0.3%
27	0.27%	0.32%	0.22%	0.36%	0.41%	0.32%
28	0.28%	0.33%	0.23%	0.38%	0.43%	0.34%
29	0.29%	0.34%	0.24%	0.41%	0.46%	0.36%
30	0.3%	0.36%	0.25%	0.43%	0.49%	0.38%
31	0.31%	0.37%	0.26%	0.45%	0.52%	0.4%
32	0.33%	0.39%	0.27%	0.49%	0.56%	0.43%
33	0.34%	0.41%	0.28%	0.52%	0.59%	0.45%
34	0.36%	0.42%	0.3%	0.55%	0.64%	0.48%
35	0.38%	0.45%	0.31%	0.59%	0.68%	0.51%
36	0.4%	0.47%	0.33%	0.62%	0.72%	0.54%
37	0.42%	0.5%	0.34%	0.66%	0.77%	0.57%
38	0.44%	0.53%	0.36%	0.7%	0.82%	0.6%
39	0.47%	0.55%	0.38%	0.74%	0.87%	0.63%
40	0.5%	0.59%	0.41%	0.78%	0.92%	0.67%
41	0.52%	0.61%	0.42%	0.82%	0.97%	0.69%
42	0.55%	0.66%	0.45%	0.86%	1.02%	0.73%
43	0.58%	0.69%	0.47%	0.9%	1.08%	0.76%
44	0.61%	0.73%	0.49%	0.95%	1.14%	0.8%
45	0.65%	0.78%	0.52%	1%	1.21%	0.84%
46	0.69%	0.83%	0.55%	1.05%	1.28%	0.89%
47	0.73%	0.88%	0.58%	1.11%	1.35%	0.94%
48	0.78%	0.95%	0.63%	1.17%	1.43%	0.99%
49	0.83%	1.02%	0.67%	1.24%	1.52%	1.05%
50	0.91%	1.1%	0.73%	1.32%	1.62%	1.12%
51	0.95%	1.16%	0.76%	1.38%	1.7%	1.17%
52	1.03%	1.26%	0.83%	1.46%	1.8%	1.25%
53	1.1%	1.34%	0.88%	1.54%	1.89%	1.31%
54	1.17%	1.43%	0.95%	1.62%	2%	1.38%
55	1.25%	1.52%	1.01%	1.72%	2.11%	1.46%
56	1.33%	1.63%	1.09%	1.82%	2.22%	1.55%
57	1.42%	1.73%	1.16%	1.94%	2.35%	1.64%
58	1.54%	1.88%	1.27%	2.08%	2.51%	1.75%
59	1.66%	2.02%	1.37%	2.22%	2.67%	1.87%
60	1.83%	2.22%	1.53%	2.4%	2.89%	2.02%
61	1.94%	2.36%	1.63%	2.55%	3.07%	2.15%
62	2.14%	2.59%	1.81%	2.75%	3.3%	2.33%
63	2.32%	2.8%	1.98%	2.95%	3.53%	2.51%
64	2.52%	3.04%	2.17%	3.16%	3.77%	2.72%
65	2.74%	3.29%	2.38%	3.4%	4.03%	2.95%
66	2.95%	3.54%	2.58%	3.61%	4.29%	3.12%
67	3.21%	3.84%	2.83%	3.85%	4.59%	3.33%
68	3.52%	4.17%	3.12%	4.12%	4.93%	3.57%
69	3.83%	4.52%	3.41%	4.41%	5.28%	3.81%
70	4.28%	4.99%	3.85%	4.79%	5.74%	4.14%
71	4.59%	5.34%	4.14%	5.1%	6.12%	4.39%
72	5.12%	5.9%	4.65%	5.54%	6.65%	4.78%
73	5.59%	6.41%	5.09%	5.96%	7.16%	5.13%
74	6.13%	6.99%	5.6%	6.42%	7.71%	5.53%
75	6.72%	7.61%	6.16%	6.91%	8.32%	5.96%
76	7.31%	8.25%	6.72%	7.41%	8.94%	6.39%
77	7.94%	8.92%	7.3%	7.93%	9.61%	6.83%
78	8.73%	9.74%	8.06%	8.57%	10.4%	7.41%
79	9.44%	10.5%	8.73%	9.15%	11.2%	7.89%
80	10.4%	11.5%	9.64%	9.93%	12.1%	8.6%
81	11.1%	12.3%	10.3%	10.6%	12.9%	9.19%
82	12.2%	13.4%	11.4%	11.6%	14%	10.3%
83	13.2%	14.5%	12.4%	12.6%	15.1%	11.2%
84	14.4%	15.7%	13.6%	13.7%	16.2%	12.3%
85	15.5%	16.9%	14.7%	14.7%	17.3%	13.3%
86	16.7%	18.1%	15.9%	15.9%	18.5%	14.5%
87	17.9%	19.4%	17%	17%	19.7%	15.6%
88	19.2%	20.7%	18.3%	18.2%	21%	16.8%
89	20.5%	22%	19.6%	19.4%	22.2%	18%
90	22.1%	23.6%	21.2%	20.9%	23.7%	19.6%
91	23.2%	24.8%	22.3%	21.9%	24.9%	20.6%
92	24.8%	26.5%	24%	23.5%	26.5%	22.3%
93	26.4%	28%	25.5%	24.9%	27.9%	23.8%
94	28%	29.6%	27.1%	26.5%	29.5%	25.4%
95	29.7%	31.3%	28.9%	28.1%	31%	27.1%
96	31.3%	32.8%	30.5%	29.6%	32.5%	28.7%
97	32.8%	34.3%	32.1%	31.1%	33.9%	30.2%
98	34.3%	35.7%	33.5%	32.4%	35.2%	31.7%
99	36.1%	37.5%	35.4%	34.3%	36.9%	33.6%
100	37.6%	38.9%	36.9%	35.7%	38.2%	35%

Death rate by age in Guinea-Bissau compared to Zimbabwe

In Guinea-Bissau, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 71.7 in Guinea-Bissau and 68.5 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	4,736	5,229	4,234	3,136	3,483	2,783
1	859	901	814	497	473	521
2	520	549	489	315	310	320
3	355	376	333	216.2	216.8	215.5
4	250.9	265.4	235.9	156.9	160.1	153.6
5	190	201.4	178.1	118.8	121.5	116
6	156.3	167	145.2	100.5	104.5	96.4
7	132.7	142.9	122	89.4	93.9	84.7
8	116	125.7	106	80.4	84.8	75.8
9	105.2	114.4	95.6	74.6	78.4	70.8
10	99	107.5	90.1	72.1	76.1	68.1
11	96.1	104	88	72.7	77.8	67.4
12	97.3	105.4	88.9	75.8	81.1	70.4
13	101.8	110.7	92.5	82.5	87.9	77.1
14	109.8	120.5	98.8	93.4	100.1	86.5
15	120.7	133.5	107.4	109	117.7	100.2
16	135.3	152.1	117.9	126.2	138.7	113.6
17	149.7	172.1	126.6	147.2	165.3	128.9
18	165	193.1	136.1	169.5	193.7	145.2
19	178.2	211.3	144	187.5	214.4	160.3
20	190.3	227.9	151.5	205.9	235.6	176.2
21	200.8	241.9	158.4	222	256.1	188.1
22	209.9	253.2	165.3	240.5	276.8	204.7
23	217.3	261.3	172	258.3	296.1	221.4
24	223.9	267.7	178.9	275.7	314	238.6
25	229.8	272.8	185.5	294.1	334	256.2
26	235.8	278.2	192.3	313	353	275.5
27	242.4	284.3	199.3	333	374	295
28	250.3	292.1	207.3	352	396	312
29	257.8	301	214	372	419	333
30	269.2	313	224.4	395	446	351
31	276.2	321	230	413	468	366
32	290.6	338	242.4	439	498	390
33	303	352	252.9	464	528	411
34	317	367	264.6	492	562	434
35	333	387	277.5	524	598	462
36	348	405	291	551	631	485
37	364	424	304	582	668	508
38	385	447	322	611	704	534
39	403	467	336	639	738	557
40	428	496	357	673	780	583
41	442	514	368	698	808	604
42	471	547	392	729	847	629
43	490	571	407	758	884	654
44	514	601	425	789	924	680
45	544	638	448	826	970	713
46	568	668	469	859	1,012	742
47	599	707	493	896	1,058	777
48	638	753	527	937	1,108	817
49	676	799	559	976	1,156	856
50	728	857	606	1,026	1,217	902
51	759	894	631	1,061	1,254	934
52	816	956	683	1,109	1,307	980
53	857	1,004	719	1,148	1,349	1,017
54	906	1,058	764	1,193	1,395	1,060
55	952	1,109	806	1,244	1,446	1,104
56	1,005	1,168	857	1,297	1,490	1,153
57	1,057	1,226	906	1,355	1,542	1,203
58	1,128	1,302	977	1,422	1,603	1,262
59	1,196	1,377	1,044	1,489	1,666	1,323
60	1,297	1,480	1,150	1,576	1,757	1,402
61	1,353	1,543	1,206	1,633	1,808	1,466
62	1,461	1,652	1,321	1,717	1,888	1,555
63	1,550	1,741	1,415	1,788	1,949	1,637
64	1,644	1,832	1,518	1,862	2,010	1,726
65	1,746	1,928	1,632	1,941	2,070	1,823
66	1,828	2,001	1,725	1,987	2,114	1,872
67	1,933	2,094	1,843	2,044	2,164	1,934
68	2,050	2,191	1,978	2,105	2,214	2,002
69	2,151	2,274	2,094	2,159	2,257	2,062
70	2,312	2,395	2,285	2,242	2,322	2,156
71	2,374	2,439	2,358	2,272	2,337	2,192
72	2,526	2,551	2,538	2,345	2,383	2,282
73	2,616	2,607	2,649	2,380	2,394	2,332
74	2,707	2,658	2,768	2,411	2,394	2,385
75	2,786	2,692	2,875	2,430	2,383	2,429
76	2,828	2,696	2,941	2,425	2,347	2,449
77	2,846	2,676	2,984	2,403	2,297	2,449
78	2,880	2,661	3,053	2,392	2,248	2,474
79	2,843	2,591	3,039	2,333	2,161	2,441
80	2,829	2,532	3,064	2,302	2,087	2,449
81	2,705	2,394	2,950	2,209	1,956	2,393
82	2,655	2,302	2,939	2,170	1,848	2,423
83	2,528	2,153	2,834	2,075	1,706	2,376
84	2,390	1,998	2,716	1,972	1,560	2,317
85	2,201	1,804	2,538	1,833	1,396	2,205
86	2,005	1,612	2,341	1,685	1,233	2,076
87	1,786	1,410	2,113	1,517	1,069	1,910
88	1,572	1,216	1,886	1,349	914	1,739
89	1,352	1,024	1,643	1,174	765	1,548
90	1,160	855	1,434	1,021	635	1,382
91	948	687	1,184	847	508	1,167
92	781	551	991	709	406	1,001
93	623	429	802	576	315	830
94	487	327	636	459	239.6	676
95	373	243.2	494	359	177.9	539
96	275.8	175.3	371	271.7	128.5	416
97	198.6	123	270.6	200.6	90.4	312
98	139.3	84.1	192.3	144.5	62.1	228.5
99	96.5	56.7	135	103.1	42.2	165.5
100	10	0	23.8	24.2	0	51.9

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 Zimbabwe 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 Zimbabwe: Profiles in Numbers

By topic vs comparisons:

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