Life Expectancy in Guinea-Bissau vs Sao Tome and Principe (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 Sao Tome and Principe: 71.3 years vs 72.4 at 30, 78.7 vs 79.4 at 65, 86.1 vs 86.6 at 80 — significantly higher than the 64.4 vs 70.1 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 Sao Tome and Principe.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Sao Tome
	Average	Male	Female	Average	Male	Female
0	64.4	62	66.7	70.1	66.6	74.1
1	67.6	65.4	69.7	70.8	67.3	74.8
2	68.2	66	70.2	70.9	67.4	74.9
3	68.6	66.4	70.6	70.9	67.4	74.9
4	68.8	66.6	70.8	70.9	67.4	74.9
5	69	66.8	71	71	67.5	75
6	69.1	66.9	71.1	71	67.5	75
7	69.2	67	71.2	71	67.5	75
8	69.3	67.1	71.3	71.1	67.6	75
9	69.4	67.2	71.4	71.1	67.6	75.1
10	69.5	67.3	71.4	71.1	67.6	75.1
11	69.5	67.3	71.5	71.1	67.6	75.1
12	69.6	67.4	71.6	71.2	67.6	75.1
13	69.6	67.5	71.6	71.2	67.7	75.2
14	69.7	67.5	71.7	71.2	67.7	75.2
15	69.8	67.6	71.7	71.2	67.7	75.2
16	69.8	67.7	71.8	71.3	67.8	75.3
17	69.9	67.8	71.9	71.3	67.8	75.3
18	70	67.9	71.9	71.4	67.9	75.4
19	70.1	68	72	71.5	68	75.4
20	70.2	68.1	72.1	71.5	68.1	75.5
21	70.3	68.2	72.2	71.6	68.2	75.6
22	70.4	68.3	72.3	71.7	68.3	75.6
23	70.5	68.5	72.4	71.8	68.4	75.7
24	70.6	68.6	72.5	71.9	68.5	75.7
25	70.7	68.7	72.5	72	68.6	75.8
26	70.9	68.8	72.6	72.1	68.8	75.9
27	71	69	72.7	72.2	68.9	75.9
28	71.1	69.1	72.8	72.3	69	76
29	71.2	69.2	72.9	72.3	69.1	76.1
30	71.3	69.4	73	72.4	69.2	76.1
31	71.5	69.5	73.2	72.5	69.3	76.2
32	71.6	69.7	73.3	72.6	69.4	76.3
33	71.7	69.8	73.4	72.7	69.6	76.3
34	71.8	70	73.5	72.8	69.7	76.4
35	72	70.1	73.6	72.9	69.8	76.5
36	72.1	70.3	73.7	73	70	76.6
37	72.3	70.4	73.8	73.2	70.1	76.6
38	72.4	70.6	74	73.3	70.2	76.7
39	72.6	70.8	74.1	73.4	70.4	76.8
40	72.7	70.9	74.2	73.5	70.5	76.9
41	72.9	71.1	74.4	73.6	70.7	77
42	73	71.3	74.5	73.8	70.9	77.1
43	73.2	71.5	74.6	73.9	71	77.2
44	73.4	71.7	74.8	74.1	71.2	77.3
45	73.6	71.9	74.9	74.2	71.4	77.4
46	73.7	72.1	75.1	74.4	71.6	77.6
47	73.9	72.3	75.3	74.6	71.8	77.7
48	74.1	72.5	75.4	74.8	72	77.8
49	74.3	72.8	75.6	75	72.3	78
50	74.5	73	75.8	75.2	72.5	78.1
51	74.8	73.2	76	75.4	72.8	78.3
52	75	73.5	76.1	75.6	73	78.4
53	75.2	73.8	76.3	75.8	73.3	78.6
54	75.5	74	76.5	76.1	73.6	78.8
55	75.7	74.3	76.8	76.3	73.9	78.9
56	76	74.6	77	76.6	74.2	79.1
57	76.2	74.9	77.2	76.9	74.5	79.3
58	76.5	75.2	77.4	77.1	74.9	79.5
59	76.8	75.5	77.7	77.4	75.2	79.8
60	77.1	75.9	77.9	77.7	75.6	80
61	77.4	76.2	78.2	78.1	76	80.2
62	77.7	76.6	78.5	78.4	76.4	80.4
63	78	77	78.8	78.7	76.8	80.7
64	78.4	77.3	79.1	79.1	77.2	81
65	78.7	77.7	79.4	79.4	77.6	81.2
66	79.1	78.2	79.7	79.8	78.1	81.5
67	79.5	78.6	80.1	80.2	78.5	81.8
68	79.9	79	80.5	80.6	79	82.1
69	80.3	79.5	80.8	81	79.5	82.4
70	80.7	80	81.2	81.4	80	82.8
71	81.2	80.5	81.7	81.9	80.5	83.1
72	81.6	81	82.1	82.4	81.1	83.5
73	82.1	81.5	82.6	82.8	81.6	83.9
74	82.6	82	83.1	83.3	82.2	84.3
75	83.2	82.6	83.6	83.8	82.8	84.7
76	83.7	83.2	84.1	84.3	83.3	85.1
77	84.3	83.8	84.6	84.9	83.9	85.6
78	84.9	84.4	85.2	85.4	84.6	86.1
79	85.5	85.1	85.8	86	85.2	86.6
80	86.1	85.7	86.4	86.6	85.9	87.1
81	86.8	86.4	87	87.2	86.5	87.7
82	87.4	87.1	87.7	87.9	87.2	88.2
83	88.1	87.8	88.3	88.5	87.9	88.8
84	88.8	88.5	89	89.2	88.6	89.5
85	89.5	89.2	89.7	89.8	89.4	90.1
86	90.3	90	90.4	90.5	90.1	90.8
87	91	90.8	91.2	91.3	90.9	91.5
88	91.8	91.6	91.9	92	91.7	92.2
89	92.6	92.4	92.7	92.7	92.4	92.9
90	93.4	93.2	93.5	93.5	93.2	93.6
91	94.2	94	94.3	94.3	94	94.4
92	95	94.9	95.1	95.1	94.9	95.2
93	95.9	95.7	95.9	95.9	95.7	96
94	96.7	96.6	96.8	96.7	96.6	96.8
95	97.6	97.4	97.6	97.6	97.4	97.6
96	98.4	98.3	98.5	98.4	98.3	98.5
97	99.3	99.2	99.4	99.3	99.2	99.4
98	100.2	100.1	100.3	100.2	100.1	100.2
99	101.1	101	101.2	101.1	100.9	101.2
100	102	101.9	102.1	102	101.8	102.1

Odds of living to age in Guinea-Bissau vs Sao Tome and Principe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71% in Guinea-Bissau and 77.8% in Sao Tome and Principe are expected to survive till at least 60 years old, 54% and 59.8% will live to 70 years or older, 27.3% and 32.7% to 80+ years, and 5.25% and 7.5% 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			Sao Tome
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.8%	98.9%	98.9%	99%
2	94.4%	93.9%	95%	98.9%	98.8%	99%
3	93.9%	93.3%	94.5%	98.8%	98.7%	98.9%
4	93.5%	92.9%	94.1%	98.8%	98.7%	98.9%
5	93.3%	92.7%	93.9%	98.7%	98.6%	98.8%
6	93.1%	92.5%	93.7%	98.7%	98.6%	98.8%
7	92.9%	92.3%	93.6%	98.6%	98.5%	98.7%
8	92.8%	92.2%	93.4%	98.6%	98.5%	98.7%
9	92.7%	92%	93.3%	98.6%	98.5%	98.7%
10	92.6%	91.9%	93.2%	98.5%	98.4%	98.6%
11	92.5%	91.8%	93.2%	98.5%	98.4%	98.6%
12	92.4%	91.7%	93.1%	98.5%	98.4%	98.5%
13	92.3%	91.6%	93%	98.4%	98.3%	98.5%
14	92.2%	91.5%	92.9%	98.4%	98.3%	98.5%
15	92.1%	91.4%	92.8%	98.3%	98.2%	98.4%
16	92%	91.2%	92.7%	98.2%	98.1%	98.3%
17	91.8%	91.1%	92.6%	98.1%	98%	98.3%
18	91.7%	90.9%	92.4%	98%	97.9%	98.2%
19	91.5%	90.7%	92.3%	97.9%	97.7%	98.1%
20	91.3%	90.5%	92.2%	97.7%	97.5%	97.9%
21	91.1%	90.3%	92%	97.6%	97.3%	97.8%
22	90.9%	90%	91.8%	97.4%	97.1%	97.7%
23	90.7%	89.8%	91.7%	97.2%	96.8%	97.6%
24	90.5%	89.5%	91.5%	97%	96.6%	97.5%
25	90.3%	89.3%	91.3%	96.9%	96.3%	97.4%
26	90.1%	89%	91.1%	96.7%	96.1%	97.3%
27	89.8%	88.7%	91%	96.5%	95.8%	97.1%
28	89.6%	88.4%	90.8%	96.3%	95.6%	97%
29	89.3%	88.1%	90.5%	96.1%	95.3%	96.9%
30	89.1%	87.8%	90.3%	95.9%	95%	96.7%
31	88.8%	87.5%	90.1%	95.7%	94.7%	96.6%
32	88.5%	87.2%	89.9%	95.5%	94.4%	96.5%
33	88.2%	86.9%	89.6%	95.2%	94.1%	96.3%
34	87.9%	86.5%	89.4%	95%	93.8%	96.1%
35	87.6%	86.1%	89.1%	94.7%	93.5%	96%
36	87.3%	85.8%	88.8%	94.4%	93.1%	95.8%
37	86.9%	85.4%	88.5%	94.2%	92.7%	95.6%
38	86.6%	84.9%	88.2%	93.9%	92.3%	95.4%
39	86.2%	84.5%	87.9%	93.5%	91.9%	95.2%
40	85.8%	84%	87.6%	93.2%	91.4%	94.9%
41	85.4%	83.5%	87.2%	92.8%	91%	94.7%
42	84.9%	83%	86.9%	92.4%	90.4%	94.4%
43	84.4%	82.5%	86.5%	92%	89.9%	94.1%
44	84%	81.9%	86.1%	91.5%	89.3%	93.8%
45	83.4%	81.3%	85.6%	91.1%	88.7%	93.5%
46	82.9%	80.7%	85.2%	90.5%	88%	93.1%
47	82.3%	80%	84.7%	90%	87.2%	92.7%
48	81.7%	79.3%	84.2%	89.4%	86.4%	92.3%
49	81.1%	78.5%	83.7%	88.7%	85.6%	91.9%
50	80.4%	77.7%	83.1%	88%	84.7%	91.4%
51	79.7%	76.9%	82.5%	87.3%	83.7%	90.9%
52	78.9%	76%	81.9%	86.5%	82.7%	90.4%
53	78.1%	75%	81.2%	85.6%	81.6%	89.8%
54	77.3%	74%	80.5%	84.7%	80.4%	89.2%
55	76.3%	73%	79.7%	83.7%	79.2%	88.5%
56	75.4%	71.8%	78.9%	82.7%	77.9%	87.8%
57	74.4%	70.7%	78.1%	81.6%	76.5%	87%
58	73.3%	69.5%	77.2%	80.4%	75%	86.2%
59	72.2%	68.2%	76.2%	79.1%	73.4%	85.3%
60	71%	66.8%	75.2%	77.8%	71.8%	84.4%
61	69.7%	65.3%	74%	76.4%	70%	83.4%
62	68.4%	63.8%	72.8%	74.9%	68.2%	82.4%
63	66.9%	62.1%	71.5%	73.4%	66.2%	81.2%
64	65.3%	60.4%	70.1%	71.7%	64.2%	80.1%
65	63.7%	58.5%	68.5%	70%	62%	78.8%
66	62%	56.6%	66.9%	68.1%	59.8%	77.4%
67	60.1%	54.6%	65.2%	66.2%	57.5%	75.9%
68	58.2%	52.5%	63.3%	64.1%	55.1%	74.3%
69	56.1%	50.3%	61.4%	62%	52.7%	72.6%
70	54%	48%	59.3%	59.8%	50.1%	70.7%
71	51.7%	45.6%	57%	57.4%	47.5%	68.8%
72	49.3%	43.2%	54.6%	55%	44.9%	66.7%
73	46.8%	40.7%	52.1%	52.5%	42.2%	64.4%
74	44.2%	38%	49.4%	49.9%	39.5%	62%
75	41.5%	35.4%	46.7%	47.1%	36.7%	59.4%
76	38.7%	32.7%	43.8%	44.3%	33.9%	56.7%
77	35.8%	30%	40.9%	41.5%	31.2%	53.8%
78	33%	27.3%	37.9%	38.6%	28.4%	50.8%
79	30.1%	24.7%	34.8%	35.6%	25.7%	47.6%
80	27.3%	22.1%	31.8%	32.7%	23.1%	44.3%
81	24.4%	19.5%	28.7%	29.7%	20.5%	40.9%
82	21.7%	17.1%	25.8%	26.8%	18%	37.4%
83	19.1%	14.8%	22.8%	23.9%	15.7%	33.8%
84	16.6%	12.7%	20%	21.1%	13.5%	30.3%
85	14.2%	10.7%	17.3%	18.4%	11.5%	26.8%
86	12%	8.89%	14.7%	15.8%	9.63%	23.4%
87	9.97%	7.28%	12.4%	13.5%	7.97%	20.2%
88	8.18%	5.87%	10.3%	11.3%	6.49%	17.1%
89	6.61%	4.65%	8.4%	9.28%	5.2%	14.3%
90	5.25%	3.63%	6.76%	7.5%	4.09%	11.7%
91	4.09%	2.77%	5.32%	5.96%	3.15%	9.43%
92	3.15%	2.08%	4.14%	4.63%	2.38%	7.43%
93	2.36%	1.53%	3.15%	3.52%	1.76%	5.73%
94	1.74%	1.1%	2.34%	2.62%	1.27%	4.32%
95	1.25%	0.78%	1.71%	1.91%	0.89%	3.18%
96	0.88%	0.53%	1.21%	1.35%	0.62%	2.28%
97	0.61%	0.36%	0.84%	0.93%	0.41%	1.59%
98	0.41%	0.24%	0.57%	0.63%	0.27%	1.08%
99	0.27%	0.15%	0.38%	0.41%	0.17%	0.71%
100	0.17%	0.09%	0.25%	0.26%	0.11%	0.45%

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 1.07% in Sao Tome and Principe, 0.3% vs 0.22% at age 30, 1.83% vs 1.8% at 60, and 10.4% vs 9.08% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Sao Tome
	Average	Male	Female	Average	Male	Female
0	4.74%	5.23%	4.23%	1.07%	1.14%	0.99%
1	0.9%	0.95%	0.85%	0.06%	0.06%	0.05%
2	0.55%	0.58%	0.52%	0.05%	0.06%	0.05%
3	0.38%	0.4%	0.35%	0.05%	0.05%	0.05%
4	0.27%	0.29%	0.25%	0.05%	0.05%	0.05%
5	0.2%	0.22%	0.19%	0.05%	0.05%	0.04%
6	0.17%	0.18%	0.15%	0.04%	0.05%	0.04%
7	0.14%	0.15%	0.13%	0.04%	0.04%	0.04%
8	0.13%	0.14%	0.11%	0.04%	0.04%	0.04%
9	0.11%	0.12%	0.1%	0.04%	0.04%	0.04%
10	0.11%	0.12%	0.1%	0.03%	0.03%	0.04%
11	0.1%	0.11%	0.09%	0.04%	0.04%	0.04%
12	0.11%	0.11%	0.1%	0.04%	0.04%	0.04%
13	0.11%	0.12%	0.1%	0.05%	0.05%	0.05%
14	0.12%	0.13%	0.11%	0.06%	0.06%	0.06%
15	0.13%	0.15%	0.12%	0.07%	0.08%	0.07%
16	0.15%	0.17%	0.13%	0.1%	0.11%	0.08%
17	0.16%	0.19%	0.14%	0.12%	0.14%	0.1%
18	0.18%	0.21%	0.15%	0.14%	0.18%	0.11%
19	0.19%	0.23%	0.16%	0.16%	0.21%	0.11%
20	0.21%	0.25%	0.16%	0.17%	0.23%	0.12%
21	0.22%	0.27%	0.17%	0.18%	0.24%	0.12%
22	0.23%	0.28%	0.18%	0.18%	0.25%	0.11%
23	0.24%	0.29%	0.19%	0.18%	0.25%	0.11%
24	0.25%	0.3%	0.2%	0.18%	0.25%	0.12%
25	0.25%	0.31%	0.2%	0.19%	0.26%	0.12%
26	0.26%	0.31%	0.21%	0.19%	0.27%	0.13%
27	0.27%	0.32%	0.22%	0.2%	0.27%	0.13%
28	0.28%	0.33%	0.23%	0.21%	0.28%	0.14%
29	0.29%	0.34%	0.24%	0.22%	0.29%	0.14%
30	0.3%	0.36%	0.25%	0.22%	0.3%	0.15%
31	0.31%	0.37%	0.26%	0.23%	0.31%	0.15%
32	0.33%	0.39%	0.27%	0.24%	0.33%	0.16%
33	0.34%	0.41%	0.28%	0.26%	0.34%	0.17%
34	0.36%	0.42%	0.3%	0.27%	0.36%	0.18%
35	0.38%	0.45%	0.31%	0.29%	0.38%	0.19%
36	0.4%	0.47%	0.33%	0.3%	0.41%	0.2%
37	0.42%	0.5%	0.34%	0.32%	0.43%	0.22%
38	0.44%	0.53%	0.36%	0.35%	0.46%	0.23%
39	0.47%	0.55%	0.38%	0.37%	0.5%	0.25%
40	0.5%	0.59%	0.41%	0.4%	0.53%	0.26%
41	0.52%	0.61%	0.42%	0.43%	0.57%	0.28%
42	0.55%	0.66%	0.45%	0.46%	0.61%	0.3%
43	0.58%	0.69%	0.47%	0.49%	0.66%	0.32%
44	0.61%	0.73%	0.49%	0.53%	0.71%	0.35%
45	0.65%	0.78%	0.52%	0.58%	0.77%	0.38%
46	0.69%	0.83%	0.55%	0.62%	0.83%	0.41%
47	0.73%	0.88%	0.58%	0.68%	0.9%	0.45%
48	0.78%	0.95%	0.63%	0.73%	0.98%	0.48%
49	0.83%	1.02%	0.67%	0.79%	1.06%	0.52%
50	0.91%	1.1%	0.73%	0.86%	1.14%	0.55%
51	0.95%	1.16%	0.76%	0.92%	1.23%	0.59%
52	1.03%	1.26%	0.83%	0.99%	1.33%	0.64%
53	1.1%	1.34%	0.88%	1.07%	1.43%	0.69%
54	1.17%	1.43%	0.95%	1.15%	1.54%	0.74%
55	1.25%	1.52%	1.01%	1.24%	1.66%	0.8%
56	1.33%	1.63%	1.09%	1.34%	1.79%	0.87%
57	1.42%	1.73%	1.16%	1.45%	1.93%	0.94%
58	1.54%	1.88%	1.27%	1.56%	2.09%	1.01%
59	1.66%	2.02%	1.37%	1.67%	2.26%	1.09%
60	1.83%	2.22%	1.53%	1.8%	2.45%	1.17%
61	1.94%	2.36%	1.63%	1.93%	2.65%	1.26%
62	2.14%	2.59%	1.81%	2.08%	2.86%	1.36%
63	2.32%	2.8%	1.98%	2.25%	3.09%	1.47%
64	2.52%	3.04%	2.17%	2.44%	3.33%	1.6%
65	2.74%	3.29%	2.38%	2.64%	3.59%	1.75%
66	2.95%	3.54%	2.58%	2.85%	3.85%	1.92%
67	3.21%	3.84%	2.83%	3.09%	4.14%	2.1%
68	3.52%	4.17%	3.12%	3.34%	4.46%	2.31%
69	3.83%	4.52%	3.41%	3.6%	4.8%	2.54%
70	4.28%	4.99%	3.85%	3.9%	5.17%	2.79%
71	4.59%	5.34%	4.14%	4.23%	5.57%	3.07%
72	5.12%	5.9%	4.65%	4.6%	6.01%	3.38%
73	5.59%	6.41%	5.09%	5%	6.47%	3.74%
74	6.13%	6.99%	5.6%	5.44%	6.98%	4.14%
75	6.72%	7.61%	6.16%	5.93%	7.53%	4.59%
76	7.31%	8.25%	6.72%	6.45%	8.14%	5.09%
77	7.94%	8.92%	7.3%	7.02%	8.8%	5.65%
78	8.73%	9.74%	8.06%	7.64%	9.51%	6.28%
79	9.44%	10.5%	8.73%	8.33%	10.3%	6.96%
80	10.4%	11.5%	9.64%	9.08%	11.1%	7.72%
81	11.1%	12.3%	10.3%	9.9%	12%	8.54%
82	12.2%	13.4%	11.4%	10.8%	13%	9.44%
83	13.2%	14.5%	12.4%	11.7%	14%	10.4%
84	14.4%	15.7%	13.6%	12.7%	15%	11.5%
85	15.5%	16.9%	14.7%	13.8%	16.1%	12.6%
86	16.7%	18.1%	15.9%	15%	17.3%	13.8%
87	17.9%	19.4%	17%	16.3%	18.6%	15.2%
88	19.2%	20.7%	18.3%	17.7%	19.9%	16.5%
89	20.5%	22%	19.6%	19.1%	21.4%	18%
90	22.1%	23.6%	21.2%	20.6%	22.9%	19.6%
91	23.2%	24.8%	22.3%	22.2%	24.5%	21.2%
92	24.8%	26.5%	24%	23.9%	26.1%	22.9%
93	26.4%	28%	25.5%	25.6%	27.8%	24.6%
94	28%	29.6%	27.1%	27.3%	29.5%	26.4%
95	29.7%	31.3%	28.9%	29.1%	31.2%	28.3%
96	31.3%	32.8%	30.5%	31%	32.9%	30.2%
97	32.8%	34.3%	32.1%	32.9%	34.7%	32.2%
98	34.3%	35.7%	33.5%	34.8%	36.4%	34.2%
99	36.1%	37.5%	35.4%	36.7%	38.2%	36.1%
100	37.6%	38.9%	36.9%	38.6%	39.9%	38.1%

Death rate by age in Guinea-Bissau compared to Sao Tome and Principe

In Guinea-Bissau, the most common age of death is 0, compared to 80 in Sao Tome and Principe. The median age of death is 71.7 in Guinea-Bissau and 73.9 in Sao Tome and Principe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Sao Tome
	Total	Male	Female	Total	Male	Female
0	4,736	5,229	4,234	1,066	1,139	990
1	859	901	814	54.6	57.6	51.6
2	520	549	489	52.8	55.6	49.8
3	355	376	333	50.8	53.5	48
4	250.9	265.4	235.9	48.7	51.1	46.1
5	190	201.4	178.1	46.2	48.3	44
6	156.3	167	145.2	43.3	44.9	41.7
7	132.7	142.9	122	40.2	41.2	39.3
8	116	125.7	106	37.4	37.7	37.1
9	105.2	114.4	95.6	35.3	35	35.5
10	99	107.5	90.1	34.4	33.8	35.1
11	96.1	104	88	35.4	34.6	36.2
12	97.3	105.4	88.9	38.8	38.2	39.4
13	101.8	110.7	92.5	45.6	45.8	45.4
14	109.8	120.5	98.8	56.5	58.7	54.4
15	120.7	133.5	107.4	72.6	78.6	66.6
16	135.3	152.1	117.9	93.4	106.1	80.8
17	149.7	172.1	126.6	116.9	139.2	94.7
18	165	193.1	136.1	139.5	173.4	105.8
19	178.2	211.3	144	156.9	202.2	112.1
20	190.3	227.9	151.5	167.7	222.2	114
21	200.8	241.9	158.4	172.6	233.5	113.4
22	209.9	253.2	165.3	174.3	238.9	112.2
23	217.3	261.3	172	175.8	242.2	112.2
24	223.9	267.7	178.9	178.4	245.5	113.9
25	229.8	272.8	185.5	182.6	250	117.4
26	235.8	278.2	192.3	188.1	255.9	122.1
27	242.4	284.3	199.3	194.1	262.8	127.3
28	250.3	292.1	207.3	200.8	270.5	132.6
29	257.8	301	214	207.9	278.8	137.7
30	269.2	313	224.4	215.5	288	142.9
31	276.2	321	230	223.7	298.3	148.5
32	290.6	338	242.4	232.9	310	155.1
33	303	352	252.9	243.7	324	163
34	317	367	264.6	256.4	340	172.5
35	333	387	277.5	270.8	358	183.5
36	348	405	291	286.9	379	195.5
37	364	424	304	305	402	208.3
38	385	447	322	324	427	221.6
39	403	467	336	346	455	235.3
40	428	496	357	370	486	249.9
41	442	514	368	395	519	265.9
42	471	547	392	422	556	284.1
43	490	571	407	453	595	305
44	514	601	425	487	638	329
45	544	638	448	524	684	355
46	568	668	469	565	734	384
47	599	707	493	608	787	413
48	638	753	527	653	844	443
49	676	799	559	702	905	474
50	728	857	606	753	968	506
51	759	894	631	805	1,034	539
52	816	956	683	859	1,101	576
53	857	1,004	719	916	1,170	617
54	906	1,058	764	976	1,241	663
55	952	1,109	806	1,041	1,315	712
56	1,005	1,168	857	1,109	1,393	764
57	1,057	1,226	906	1,180	1,476	819
58	1,128	1,302	977	1,252	1,564	874
59	1,196	1,377	1,044	1,325	1,658	931
60	1,297	1,480	1,150	1,399	1,755	989
61	1,353	1,543	1,206	1,474	1,854	1,052
62	1,461	1,652	1,321	1,557	1,952	1,121
63	1,550	1,741	1,415	1,648	2,047	1,198
64	1,644	1,832	1,518	1,747	2,138	1,284
65	1,746	1,928	1,632	1,846	2,224	1,380
66	1,828	2,001	1,725	1,943	2,305	1,485
67	1,933	2,094	1,843	2,042	2,383	1,597
68	2,050	2,191	1,978	2,139	2,458	1,717
69	2,151	2,274	2,094	2,231	2,528	1,842
70	2,312	2,395	2,285	2,329	2,592	1,973
71	2,374	2,439	2,358	2,432	2,649	2,111
72	2,526	2,551	2,538	2,532	2,696	2,256
73	2,616	2,607	2,649	2,625	2,732	2,408
74	2,707	2,658	2,768	2,714	2,755	2,566
75	2,786	2,692	2,875	2,795	2,766	2,727
76	2,828	2,696	2,941	2,861	2,762	2,887
77	2,846	2,676	2,984	2,912	2,743	3,042
78	2,880	2,661	3,053	2,948	2,706	3,186
79	2,843	2,591	3,039	2,965	2,650	3,313
80	2,829	2,532	3,064	2,966	2,571	3,417
81	2,705	2,394	2,950	2,938	2,468	3,491
82	2,655	2,302	2,939	2,881	2,341	3,529
83	2,528	2,153	2,834	2,797	2,193	3,527
84	2,390	1,998	2,716	2,684	2,027	3,481
85	2,201	1,804	2,538	2,546	1,850	3,387
86	2,005	1,612	2,341	2,383	1,666	3,247
87	1,786	1,410	2,113	2,194	1,479	3,062
88	1,572	1,216	1,886	1,990	1,293	2,836
89	1,352	1,024	1,643	1,773	1,111	2,577
90	1,160	855	1,434	1,549	936	2,294
91	948	687	1,184	1,325	772	1,998
92	781	551	991	1,107	622	1,700
93	623	429	802	901	488	1,412
94	487	327	636	716	374	1,142
95	373	243.2	494	555	278.8	899
96	275.8	175.3	371	418	202.5	688
97	198.6	123	270.6	306	143	511
98	139.3	84.1	192.3	217.7	98.2	368
99	96.5	56.7	135	149.9	65.5	256.6
100	10	0	23.8	26.2	0	63.1

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 Sao Tome and Principe 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 Sao Tome and Principe: Profiles in Numbers

By topic vs comparisons:

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