Life Expectancy in Guinea-Bissau vs Tanzania (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 Tanzania: 71.3 years vs 71.7 at 30, 78.7 vs 79.8 at 65, 86.1 vs 87.3 at 80 — significantly higher than the 64.4 vs 67.4 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 Tanzania.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Tanzania
	Average	Male	Female	Average	Male	Female
0	64.4	62	66.7	67.4	64.6	70.2
1	67.6	65.4	69.7	69.3	66.6	72
2	68.2	66	70.2	69.6	66.9	72.3
3	68.6	66.4	70.6	69.8	67.1	72.4
4	68.8	66.6	70.8	69.9	67.2	72.6
5	69	66.8	71	70	67.3	72.7
6	69.1	66.9	71.1	70.1	67.3	72.7
7	69.2	67	71.2	70.1	67.4	72.8
8	69.3	67.1	71.3	70.2	67.4	72.8
9	69.4	67.2	71.4	70.2	67.5	72.9
10	69.5	67.3	71.4	70.2	67.5	72.9
11	69.5	67.3	71.5	70.3	67.6	72.9
12	69.6	67.4	71.6	70.3	67.6	73
13	69.6	67.5	71.6	70.3	67.6	73
14	69.7	67.5	71.7	70.4	67.7	73
15	69.8	67.6	71.7	70.4	67.7	73.1
16	69.8	67.7	71.8	70.5	67.8	73.1
17	69.9	67.8	71.9	70.5	67.8	73.2
18	70	67.9	71.9	70.6	67.9	73.2
19	70.1	68	72	70.7	68	73.3
20	70.2	68.1	72.1	70.8	68.1	73.4
21	70.3	68.2	72.2	70.8	68.2	73.4
22	70.4	68.3	72.3	70.9	68.3	73.5
23	70.5	68.5	72.4	71	68.4	73.6
24	70.6	68.6	72.5	71.1	68.5	73.6
25	70.7	68.7	72.5	71.2	68.6	73.7
26	70.9	68.8	72.6	71.3	68.7	73.8
27	71	69	72.7	71.4	68.8	73.9
28	71.1	69.1	72.8	71.5	69	74
29	71.2	69.2	72.9	71.6	69.1	74.1
30	71.3	69.4	73	71.7	69.2	74.2
31	71.5	69.5	73.2	71.9	69.3	74.3
32	71.6	69.7	73.3	72	69.5	74.4
33	71.7	69.8	73.4	72.1	69.6	74.5
34	71.8	70	73.5	72.2	69.7	74.6
35	72	70.1	73.6	72.4	69.9	74.7
36	72.1	70.3	73.7	72.5	70.1	74.9
37	72.3	70.4	73.8	72.7	70.2	75
38	72.4	70.6	74	72.8	70.4	75.1
39	72.6	70.8	74.1	73	70.6	75.3
40	72.7	70.9	74.2	73.1	70.7	75.4
41	72.9	71.1	74.4	73.3	70.9	75.5
42	73	71.3	74.5	73.5	71.1	75.7
43	73.2	71.5	74.6	73.7	71.3	75.9
44	73.4	71.7	74.8	73.8	71.5	76
45	73.6	71.9	74.9	74	71.7	76.2
46	73.7	72.1	75.1	74.2	71.9	76.4
47	73.9	72.3	75.3	74.4	72.2	76.5
48	74.1	72.5	75.4	74.7	72.4	76.7
49	74.3	72.8	75.6	74.9	72.7	76.9
50	74.5	73	75.8	75.1	72.9	77.1
51	74.8	73.2	76	75.4	73.2	77.3
52	75	73.5	76.1	75.6	73.5	77.6
53	75.2	73.8	76.3	75.9	73.7	77.8
54	75.5	74	76.5	76.1	74	78
55	75.7	74.3	76.8	76.4	74.3	78.3
56	76	74.6	77	76.7	74.7	78.5
57	76.2	74.9	77.2	77	75	78.8
58	76.5	75.2	77.4	77.3	75.3	79.1
59	76.8	75.5	77.7	77.6	75.7	79.4
60	77.1	75.9	77.9	78	76	79.6
61	77.4	76.2	78.2	78.3	76.4	80
62	77.7	76.6	78.5	78.7	76.8	80.3
63	78	77	78.8	79	77.2	80.6
64	78.4	77.3	79.1	79.4	77.6	81
65	78.7	77.7	79.4	79.8	78	81.4
66	79.1	78.2	79.7	80.3	78.5	81.7
67	79.5	78.6	80.1	80.7	78.9	82.1
68	79.9	79	80.5	81.1	79.4	82.6
69	80.3	79.5	80.8	81.6	79.8	83
70	80.7	80	81.2	82	80.3	83.4
71	81.2	80.5	81.7	82.5	80.8	83.9
72	81.6	81	82.1	83	81.3	84.3
73	82.1	81.5	82.6	83.5	81.9	84.8
74	82.6	82	83.1	84	82.4	85.3
75	83.2	82.6	83.6	84.5	83	85.7
76	83.7	83.2	84.1	85	83.5	86.2
77	84.3	83.8	84.6	85.6	84.1	86.8
78	84.9	84.4	85.2	86.2	84.7	87.3
79	85.5	85.1	85.8	86.7	85.3	87.8
80	86.1	85.7	86.4	87.3	86	88.3
81	86.8	86.4	87	87.9	86.6	88.9
82	87.4	87.1	87.7	88.5	87.3	89.4
83	88.1	87.8	88.3	89.2	87.9	90
84	88.8	88.5	89	89.9	88.7	90.6
85	89.5	89.2	89.7	90.5	89.4	91.2
86	90.3	90	90.4	91.3	90.1	91.9
87	91	90.8	91.2	92	90.9	92.5
88	91.8	91.6	91.9	92.7	91.7	93.2
89	92.6	92.4	92.7	93.5	92.5	93.9
90	93.4	93.2	93.5	94.3	93.3	94.6
91	94.2	94	94.3	95	94.1	95.4
92	95	94.9	95.1	95.8	94.9	96.1
93	95.9	95.7	95.9	96.6	95.8	96.9
94	96.7	96.6	96.8	97.4	96.6	97.7
95	97.6	97.4	97.6	98.3	97.5	98.4
96	98.4	98.3	98.5	99.1	98.4	99.3
97	99.3	99.2	99.4	100	99.2	100.1
98	100.2	100.1	100.3	100.8	100.1	100.9
99	101.1	101	101.2	101.7	101	101.7
100	102	101.9	102.1	102.5	101.9	102.6

Odds of living to age in Guinea-Bissau vs Tanzania

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71% in Guinea-Bissau and 73% in Tanzania are expected to survive till at least 60 years old, 54% and 55.3% will live to 70 years or older, 27.3% and 31.1% to 80+ years, and 5.25% and 8.68% 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			Tanzania
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.8%	97.2%	97%	97.6%
2	94.4%	93.9%	95%	96.8%	96.5%	97.1%
3	93.9%	93.3%	94.5%	96.6%	96.3%	96.9%
4	93.5%	92.9%	94.1%	96.4%	96.1%	96.7%
5	93.3%	92.7%	93.9%	96.3%	96%	96.6%
6	93.1%	92.5%	93.7%	96.2%	95.9%	96.5%
7	92.9%	92.3%	93.6%	96.1%	95.8%	96.4%
8	92.8%	92.2%	93.4%	96%	95.7%	96.4%
9	92.7%	92%	93.3%	96%	95.6%	96.3%
10	92.6%	91.9%	93.2%	95.9%	95.6%	96.3%
11	92.5%	91.8%	93.2%	95.8%	95.5%	96.2%
12	92.4%	91.7%	93.1%	95.8%	95.4%	96.1%
13	92.3%	91.6%	93%	95.7%	95.4%	96.1%
14	92.2%	91.5%	92.9%	95.7%	95.3%	96%
15	92.1%	91.4%	92.8%	95.6%	95.2%	96%
16	92%	91.2%	92.7%	95.5%	95.1%	95.9%
17	91.8%	91.1%	92.6%	95.4%	95%	95.8%
18	91.7%	90.9%	92.4%	95.3%	94.9%	95.7%
19	91.5%	90.7%	92.3%	95.1%	94.7%	95.6%
20	91.3%	90.5%	92.2%	95%	94.5%	95.5%
21	91.1%	90.3%	92%	94.8%	94.3%	95.4%
22	90.9%	90%	91.8%	94.7%	94.1%	95.2%
23	90.7%	89.8%	91.7%	94.5%	93.9%	95.1%
24	90.5%	89.5%	91.5%	94.3%	93.7%	94.9%
25	90.3%	89.3%	91.3%	94.1%	93.5%	94.8%
26	90.1%	89%	91.1%	93.9%	93.2%	94.6%
27	89.8%	88.7%	91%	93.7%	93%	94.4%
28	89.6%	88.4%	90.8%	93.5%	92.7%	94.3%
29	89.3%	88.1%	90.5%	93.2%	92.4%	94.1%
30	89.1%	87.8%	90.3%	93%	92.1%	93.9%
31	88.8%	87.5%	90.1%	92.7%	91.8%	93.6%
32	88.5%	87.2%	89.9%	92.4%	91.5%	93.4%
33	88.2%	86.9%	89.6%	92.1%	91.1%	93.2%
34	87.9%	86.5%	89.4%	91.8%	90.8%	92.9%
35	87.6%	86.1%	89.1%	91.5%	90.4%	92.6%
36	87.3%	85.8%	88.8%	91.2%	90%	92.3%
37	86.9%	85.4%	88.5%	90.8%	89.6%	92%
38	86.6%	84.9%	88.2%	90.4%	89.1%	91.7%
39	86.2%	84.5%	87.9%	90%	88.6%	91.4%
40	85.8%	84%	87.6%	89.6%	88.1%	91%
41	85.4%	83.5%	87.2%	89.1%	87.6%	90.6%
42	84.9%	83%	86.9%	88.6%	87%	90.2%
43	84.4%	82.5%	86.5%	88.1%	86.4%	89.8%
44	84%	81.9%	86.1%	87.6%	85.8%	89.3%
45	83.4%	81.3%	85.6%	87%	85.1%	88.9%
46	82.9%	80.7%	85.2%	86.4%	84.4%	88.4%
47	82.3%	80%	84.7%	85.7%	83.7%	87.8%
48	81.7%	79.3%	84.2%	85.1%	82.9%	87.3%
49	81.1%	78.5%	83.7%	84.3%	82%	86.7%
50	80.4%	77.7%	83.1%	83.6%	81.1%	86%
51	79.7%	76.9%	82.5%	82.7%	80.1%	85.3%
52	78.9%	76%	81.9%	81.9%	79.1%	84.6%
53	78.1%	75%	81.2%	81%	78.1%	83.8%
54	77.3%	74%	80.5%	80%	76.9%	83%
55	76.3%	73%	79.7%	79%	75.8%	82.2%
56	75.4%	71.8%	78.9%	77.9%	74.5%	81.3%
57	74.4%	70.7%	78.1%	76.7%	73.2%	80.3%
58	73.3%	69.5%	77.2%	75.6%	71.9%	79.3%
59	72.2%	68.2%	76.2%	74.3%	70.4%	78.2%
60	71%	66.8%	75.2%	73%	68.9%	77.1%
61	69.7%	65.3%	74%	71.5%	67.3%	75.8%
62	68.4%	63.8%	72.8%	70.1%	65.6%	74.5%
63	66.9%	62.1%	71.5%	68.5%	63.8%	73.1%
64	65.3%	60.4%	70.1%	66.8%	61.9%	71.6%
65	63.7%	58.5%	68.5%	65%	59.9%	70.1%
66	62%	56.6%	66.9%	63.2%	57.9%	68.3%
67	60.1%	54.6%	65.2%	61.3%	55.8%	66.6%
68	58.2%	52.5%	63.3%	59.4%	53.6%	64.8%
69	56.1%	50.3%	61.4%	57.3%	51.4%	62.9%
70	54%	48%	59.3%	55.3%	49.1%	61%
71	51.7%	45.6%	57%	53.1%	46.8%	58.9%
72	49.3%	43.2%	54.6%	50.9%	44.4%	56.9%
73	46.8%	40.7%	52.1%	48.6%	41.9%	54.7%
74	44.2%	38%	49.4%	46.2%	39.3%	52.4%
75	41.5%	35.4%	46.7%	43.8%	36.7%	50.2%
76	38.7%	32.7%	43.8%	41.3%	34.1%	47.8%
77	35.8%	30%	40.9%	38.8%	31.5%	45.4%
78	33%	27.3%	37.9%	36.2%	28.9%	43%
79	30.1%	24.7%	34.8%	33.7%	26.3%	40.6%
80	27.3%	22.1%	31.8%	31.1%	23.7%	38.2%
81	24.4%	19.5%	28.7%	28.6%	21.2%	35.7%
82	21.7%	17.1%	25.8%	26.1%	18.8%	33.3%
83	19.1%	14.8%	22.8%	23.6%	16.4%	30.7%
84	16.6%	12.7%	20%	21.1%	14.2%	28.1%
85	14.2%	10.7%	17.3%	18.7%	12%	25.5%
86	12%	8.89%	14.7%	16.4%	10.1%	22.9%
87	9.97%	7.28%	12.4%	14.2%	8.34%	20.3%
88	8.18%	5.87%	10.3%	12.2%	6.78%	17.9%
89	6.61%	4.65%	8.4%	10.3%	5.43%	15.6%
90	5.25%	3.63%	6.76%	8.68%	4.27%	13.4%
91	4.09%	2.77%	5.32%	7.17%	3.29%	11.3%
92	3.15%	2.08%	4.14%	5.87%	2.5%	9.52%
93	2.36%	1.53%	3.15%	4.73%	1.85%	7.86%
94	1.74%	1.1%	2.34%	3.76%	1.35%	6.39%
95	1.25%	0.78%	1.71%	2.94%	0.96%	5.11%
96	0.88%	0.53%	1.21%	2.25%	0.66%	4%
97	0.61%	0.36%	0.84%	1.7%	0.45%	3.08%
98	0.41%	0.24%	0.57%	1.26%	0.3%	2.34%
99	0.27%	0.15%	0.38%	0.93%	0.19%	1.74%
100	0.17%	0.09%	0.25%	0.66%	0.12%	1.27%

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 2.75% in Tanzania, 0.3% vs 0.28% at age 30, 1.83% vs 1.95% at 60, and 10.4% vs 8.15% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Tanzania
	Average	Male	Female	Average	Male	Female
0	4.74%	5.23%	4.23%	2.75%	3.05%	2.45%
1	0.9%	0.95%	0.85%	0.42%	0.41%	0.42%
2	0.55%	0.58%	0.52%	0.26%	0.27%	0.25%
3	0.38%	0.4%	0.35%	0.18%	0.19%	0.17%
4	0.27%	0.29%	0.25%	0.13%	0.14%	0.13%
5	0.2%	0.22%	0.19%	0.1%	0.11%	0.1%
6	0.17%	0.18%	0.15%	0.09%	0.09%	0.08%
7	0.14%	0.15%	0.13%	0.08%	0.08%	0.07%
8	0.13%	0.14%	0.11%	0.07%	0.07%	0.06%
9	0.11%	0.12%	0.1%	0.06%	0.07%	0.06%
10	0.11%	0.12%	0.1%	0.06%	0.07%	0.06%
11	0.1%	0.11%	0.09%	0.06%	0.07%	0.06%
12	0.11%	0.11%	0.1%	0.06%	0.07%	0.06%
13	0.11%	0.12%	0.1%	0.07%	0.08%	0.06%
14	0.12%	0.13%	0.11%	0.08%	0.09%	0.07%
15	0.13%	0.15%	0.12%	0.09%	0.1%	0.08%
16	0.15%	0.17%	0.13%	0.11%	0.12%	0.09%
17	0.16%	0.19%	0.14%	0.12%	0.14%	0.1%
18	0.18%	0.21%	0.15%	0.14%	0.17%	0.11%
19	0.19%	0.23%	0.16%	0.15%	0.19%	0.12%
20	0.21%	0.25%	0.16%	0.17%	0.2%	0.13%
21	0.22%	0.27%	0.17%	0.18%	0.22%	0.14%
22	0.23%	0.28%	0.18%	0.19%	0.23%	0.15%
23	0.24%	0.29%	0.19%	0.2%	0.24%	0.16%
24	0.25%	0.3%	0.2%	0.21%	0.25%	0.16%
25	0.25%	0.31%	0.2%	0.22%	0.26%	0.17%
26	0.26%	0.31%	0.21%	0.23%	0.27%	0.19%
27	0.27%	0.32%	0.22%	0.24%	0.29%	0.2%
28	0.28%	0.33%	0.23%	0.25%	0.3%	0.21%
29	0.29%	0.34%	0.24%	0.27%	0.32%	0.22%
30	0.3%	0.36%	0.25%	0.28%	0.33%	0.23%
31	0.31%	0.37%	0.26%	0.3%	0.35%	0.24%
32	0.33%	0.39%	0.27%	0.32%	0.37%	0.26%
33	0.34%	0.41%	0.28%	0.33%	0.39%	0.28%
34	0.36%	0.42%	0.3%	0.36%	0.42%	0.29%
35	0.38%	0.45%	0.31%	0.38%	0.45%	0.31%
36	0.4%	0.47%	0.33%	0.4%	0.47%	0.33%
37	0.42%	0.5%	0.34%	0.43%	0.51%	0.35%
38	0.44%	0.53%	0.36%	0.46%	0.54%	0.38%
39	0.47%	0.55%	0.38%	0.48%	0.57%	0.4%
40	0.5%	0.59%	0.41%	0.52%	0.61%	0.43%
41	0.52%	0.61%	0.42%	0.54%	0.64%	0.45%
42	0.55%	0.66%	0.45%	0.58%	0.69%	0.48%
43	0.58%	0.69%	0.47%	0.61%	0.73%	0.5%
44	0.61%	0.73%	0.49%	0.65%	0.78%	0.53%
45	0.65%	0.78%	0.52%	0.7%	0.84%	0.57%
46	0.69%	0.83%	0.55%	0.74%	0.89%	0.6%
47	0.73%	0.88%	0.58%	0.79%	0.95%	0.64%
48	0.78%	0.95%	0.63%	0.85%	1.02%	0.69%
49	0.83%	1.02%	0.67%	0.91%	1.1%	0.74%
50	0.91%	1.1%	0.73%	0.99%	1.19%	0.8%
51	0.95%	1.16%	0.76%	1.05%	1.26%	0.84%
52	1.03%	1.26%	0.83%	1.13%	1.35%	0.91%
53	1.1%	1.34%	0.88%	1.2%	1.44%	0.97%
54	1.17%	1.43%	0.95%	1.28%	1.54%	1.03%
55	1.25%	1.52%	1.01%	1.36%	1.64%	1.1%
56	1.33%	1.63%	1.09%	1.46%	1.75%	1.18%
57	1.42%	1.73%	1.16%	1.55%	1.87%	1.26%
58	1.54%	1.88%	1.27%	1.67%	2.01%	1.36%
59	1.66%	2.02%	1.37%	1.79%	2.16%	1.46%
60	1.83%	2.22%	1.53%	1.95%	2.36%	1.6%
61	1.94%	2.36%	1.63%	2.08%	2.51%	1.71%
62	2.14%	2.59%	1.81%	2.26%	2.74%	1.88%
63	2.32%	2.8%	1.98%	2.43%	2.94%	2.04%
64	2.52%	3.04%	2.17%	2.63%	3.17%	2.22%
65	2.74%	3.29%	2.38%	2.84%	3.43%	2.43%
66	2.95%	3.54%	2.58%	2.99%	3.63%	2.56%
67	3.21%	3.84%	2.83%	3.18%	3.87%	2.72%
68	3.52%	4.17%	3.12%	3.4%	4.15%	2.9%
69	3.83%	4.52%	3.41%	3.62%	4.44%	3.08%
70	4.28%	4.99%	3.85%	3.94%	4.83%	3.36%
71	4.59%	5.34%	4.14%	4.16%	5.13%	3.51%
72	5.12%	5.9%	4.65%	4.54%	5.61%	3.83%
73	5.59%	6.41%	5.09%	4.88%	6.05%	4.08%
74	6.13%	6.99%	5.6%	5.26%	6.56%	4.37%
75	6.72%	7.61%	6.16%	5.69%	7.11%	4.69%
76	7.31%	8.25%	6.72%	6.1%	7.69%	4.97%
77	7.94%	8.92%	7.3%	6.51%	8.3%	5.26%
78	8.73%	9.74%	8.06%	7.07%	9.07%	5.67%
79	9.44%	10.5%	8.73%	7.53%	9.77%	5.97%
80	10.4%	11.5%	9.64%	8.15%	10.7%	6.42%
81	11.1%	12.3%	10.3%	8.65%	11.4%	6.81%
82	12.2%	13.4%	11.4%	9.65%	12.6%	7.71%
83	13.2%	14.5%	12.4%	10.5%	13.7%	8.48%
84	14.4%	15.7%	13.6%	11.5%	15%	9.39%
85	15.5%	16.9%	14.7%	12.3%	16.1%	10.2%
86	16.7%	18.1%	15.9%	13.3%	17.4%	11.1%
87	17.9%	19.4%	17%	14.2%	18.6%	12%
88	19.2%	20.7%	18.3%	15.2%	20%	13%
89	20.5%	22%	19.6%	16.1%	21.3%	13.9%
90	22.1%	23.6%	21.2%	17.4%	22.9%	15.4%
91	23.2%	24.8%	22.3%	18.1%	24.1%	16%
92	24.8%	26.5%	24%	19.4%	25.8%	17.5%
93	26.4%	28%	25.5%	20.6%	27.3%	18.7%
94	28%	29.6%	27.1%	21.8%	29%	20.1%
95	29.7%	31.3%	28.9%	23.3%	30.8%	21.6%
96	31.3%	32.8%	30.5%	24.5%	32.4%	23%
97	32.8%	34.3%	32.1%	25.7%	33.9%	24.3%
98	34.3%	35.7%	33.5%	26.8%	35.4%	25.5%
99	36.1%	37.5%	35.4%	28.3%	37.1%	27.1%
100	37.6%	38.9%	36.9%	29.4%	38.6%	28.4%

Death rate by age in Guinea-Bissau compared to Tanzania

In Guinea-Bissau, the most common age of death is 0, compared to 0 in Tanzania. The median age of death is 71.7 in Guinea-Bissau and 72.4 in Tanzania — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Tanzania
	Total	Male	Female	Total	Male	Female
0	4,736	5,229	4,234	2,753	3,049	2,450
1	859	901	814	404	402	406
2	520	549	489	251.9	256.7	247
3	355	376	333	174.5	180.3	168.6
4	250.9	265.4	235.9	127.9	133.3	122.4
5	190	201.4	178.1	98.4	103	93.7
6	156.3	167	145.2	83.2	88.4	77.9
7	132.7	142.9	122	73.6	79.1	67.8
8	116	125.7	106	65.9	71.4	60.3
9	105.2	114.4	95.6	61.1	66.2	55.8
10	99	107.5	90.1	58.8	64	53.6
11	96.1	104	88	59	64.8	53
12	97.3	105.4	88.9	61.3	67.5	55
13	101.8	110.7	92.5	66.4	73.1	59.7
14	109.8	120.5	98.8	74.9	83.2	66.4
15	120.7	133.5	107.4	86.8	97.5	76
16	135.3	152.1	117.9	101	115.8	85.8
17	149.7	172.1	126.6	116.6	137	95.8
18	165	193.1	136.1	133.3	160	106.1
19	178.2	211.3	144	145.8	176	115.1
20	190.3	227.9	151.5	157.6	190.8	123.9
21	200.8	241.9	158.4	167.4	204.1	130.3
22	209.9	253.2	165.3	177.9	216.4	138.9
23	217.3	261.3	172	187.6	227.2	147.4
24	223.9	267.7	178.9	196.8	236.7	156.4
25	229.8	272.8	185.5	206.2	246.7	165.2
26	235.8	278.2	192.3	216	256.1	175.3
27	242.4	284.3	199.3	226.9	267.4	185.7
28	250.3	292.1	207.3	238	279.4	195.7
29	257.8	301	214	250.1	292.4	207
30	269.2	313	224.4	264.2	309	219
31	276.2	321	230	275.1	322	227.9
32	290.6	338	242.4	292.4	341	243.4
33	303	352	252.9	309	359	257.1
34	317	367	264.6	327	381	272.3
35	333	387	277.5	348	405	290.7
36	348	405	291	367	427	307
37	364	424	304	388	453	324
38	385	447	322	412	480	345
39	403	467	336	435	507	364
40	428	496	357	463	540	387
41	442	514	368	483	565	405
42	471	547	392	514	601	430
43	490	571	407	541	633	452
44	514	601	425	571	670	476
45	544	638	448	607	713	506
46	568	668	469	640	752	533
47	599	707	493	680	798	565
48	638	753	527	725	849	603
49	676	799	559	770	900	641
50	728	857	606	826	963	688
51	759	894	631	865	1,007	719
52	816	956	683	923	1,070	770
53	857	1,004	719	971	1,123	810
54	906	1,058	764	1,023	1,181	856
55	952	1,109	806	1,077	1,241	903
56	1,005	1,168	857	1,134	1,301	956
57	1,057	1,226	906	1,192	1,366	1,010
58	1,128	1,302	977	1,262	1,443	1,077
59	1,196	1,377	1,044	1,331	1,520	1,143
60	1,297	1,480	1,150	1,424	1,623	1,235
61	1,353	1,543	1,206	1,486	1,691	1,300
62	1,461	1,652	1,321	1,584	1,794	1,403
63	1,550	1,741	1,415	1,666	1,878	1,494
64	1,644	1,832	1,518	1,754	1,965	1,594
65	1,746	1,928	1,632	1,849	2,053	1,704
66	1,828	2,001	1,725	1,890	2,099	1,748
67	1,933	2,094	1,843	1,949	2,160	1,810
68	2,050	2,191	1,978	2,016	2,225	1,880
69	2,151	2,274	2,094	2,074	2,282	1,938
70	2,312	2,395	2,285	2,177	2,372	2,046
71	2,374	2,439	2,358	2,208	2,399	2,071
72	2,526	2,551	2,538	2,312	2,490	2,176
73	2,616	2,607	2,649	2,370	2,534	2,231
74	2,707	2,658	2,768	2,432	2,579	2,292
75	2,786	2,692	2,875	2,490	2,614	2,351
76	2,828	2,696	2,941	2,516	2,625	2,375
77	2,846	2,676	2,984	2,525	2,615	2,391
78	2,880	2,661	3,053	2,561	2,620	2,440
79	2,843	2,591	3,039	2,536	2,568	2,424
80	2,829	2,532	3,064	2,537	2,529	2,450
81	2,705	2,394	2,950	2,475	2,414	2,432
82	2,655	2,302	2,939	2,522	2,367	2,568
83	2,528	2,153	2,834	2,478	2,247	2,604
84	2,390	1,998	2,716	2,428	2,120	2,641
85	2,201	1,804	2,538	2,310	1,935	2,606
86	2,005	1,612	2,341	2,179	1,756	2,543
87	1,786	1,410	2,113	2,017	1,555	2,439
88	1,572	1,216	1,886	1,854	1,358	2,329
89	1,352	1,024	1,643	1,665	1,157	2,168
90	1,160	855	1,434	1,512	978	2,057
91	948	687	1,184	1,295	792	1,816
92	781	551	991	1,141	645	1,664
93	623	429	802	973	507	1,470
94	487	327	636	821	391	1,282
95	373	243.2	494	684	294.4	1,104
96	275.8	175.3	371	552	214.4	919
97	198.6	123	270.6	437	151.9	748
98	139.3	84.1	192.3	339	104.8	595
99	96.5	56.7	135	262	71	472
100	10	0	23.8	137.4	0.37	291.4

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 Tanzania 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 Tanzania: Side-by-Side Comparison

By topic vs comparisons:

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