Life Expectancy in Guinea-Bissau vs Moldova (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 Moldova: 71.4 years vs 73.1 at 30, 78.7 vs 79.8 at 65, 86.1 vs 87 at 80 — significantly higher than the 64.6 vs 71.6 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 Moldova.

Table

Current age, years	Total life expectancy, years
	Guinea-Bissau			Moldova
	Average	Male	Female	Average	Male	Female
0	64.6	62.1	66.9	71.6	67	75.9
1	67.7	65.5	69.8	72.3	67.7	76.5
2	68.3	66.1	70.4	72.3	67.7	76.6
3	68.7	66.5	70.7	72.4	67.8	76.6
4	68.9	66.7	70.9	72.4	67.8	76.6
5	69.1	66.9	71.1	72.4	67.8	76.7
6	69.2	67	71.2	72.4	67.8	76.7
7	69.3	67.1	71.3	72.4	67.8	76.7
8	69.4	67.2	71.4	72.4	67.9	76.7
9	69.5	67.3	71.5	72.5	67.9	76.7
10	69.6	67.4	71.5	72.5	67.9	76.7
11	69.6	67.4	71.6	72.5	67.9	76.7
12	69.7	67.5	71.7	72.5	67.9	76.7
13	69.7	67.6	71.7	72.5	67.9	76.8
14	69.8	67.6	71.8	72.5	67.9	76.8
15	69.9	67.7	71.8	72.5	68	76.8
16	69.9	67.8	71.9	72.6	68	76.8
17	70	67.9	72	72.6	68	76.8
18	70.1	68	72	72.6	68.1	76.8
19	70.2	68.1	72.1	72.6	68.1	76.9
20	70.3	68.2	72.2	72.7	68.1	76.9
21	70.4	68.3	72.3	72.7	68.2	76.9
22	70.5	68.4	72.4	72.7	68.2	76.9
23	70.6	68.5	72.4	72.8	68.3	76.9
24	70.7	68.7	72.5	72.8	68.3	76.9
25	70.8	68.8	72.6	72.9	68.4	77
26	70.9	68.9	72.7	72.9	68.4	77
27	71.1	69.1	72.8	72.9	68.5	77
28	71.2	69.2	72.9	73	68.6	77
29	71.3	69.3	73	73	68.6	77
30	71.4	69.5	73.1	73.1	68.7	77.1
31	71.5	69.6	73.2	73.1	68.8	77.1
32	71.7	69.7	73.3	73.2	68.9	77.1
33	71.8	69.9	73.4	73.3	69	77.2
34	71.9	70	73.5	73.3	69.1	77.2
35	72	70.2	73.7	73.4	69.2	77.3
36	72.2	70.3	73.8	73.5	69.3	77.3
37	72.3	70.5	73.9	73.6	69.4	77.4
38	72.5	70.7	74	73.7	69.5	77.4
39	72.6	70.8	74.2	73.8	69.7	77.5
40	72.8	71	74.3	73.9	69.8	77.6
41	72.9	71.2	74.4	74	70	77.6
42	73.1	71.4	74.6	74.2	70.2	77.7
43	73.3	71.5	74.7	74.3	70.4	77.8
44	73.4	71.7	74.8	74.5	70.5	77.9
45	73.6	71.9	75	74.6	70.8	78
46	73.8	72.1	75.1	74.8	71	78.1
47	74	72.4	75.3	75	71.2	78.2
48	74.2	72.6	75.5	75.1	71.4	78.3
49	74.4	72.8	75.6	75.3	71.7	78.4
50	74.6	73	75.8	75.5	71.9	78.5
51	74.8	73.3	76	75.7	72.2	78.6
52	75	73.5	76.2	76	72.5	78.8
53	75.2	73.8	76.4	76.2	72.8	78.9
54	75.5	74.1	76.6	76.4	73.1	79.1
55	75.7	74.4	76.8	76.7	73.4	79.2
56	76	74.7	77	76.9	73.7	79.4
57	76.3	75	77.2	77.2	74.1	79.6
58	76.5	75.3	77.5	77.5	74.4	79.8
59	76.8	75.6	77.7	77.8	74.8	80
60	77.1	75.9	78	78.1	75.2	80.2
61	77.4	76.3	78.2	78.4	75.6	80.4
62	77.7	76.6	78.5	78.7	76	80.6
63	78	77	78.8	79.1	76.5	80.9
64	78.4	77.4	79.1	79.4	76.9	81.1
65	78.7	77.8	79.4	79.8	77.4	81.4
66	79.1	78.2	79.8	80.2	77.8	81.7
67	79.5	78.6	80.1	80.5	78.3	82
68	79.9	79.1	80.5	80.9	78.8	82.3
69	80.3	79.5	80.9	81.3	79.2	82.6
70	80.7	80	81.3	81.7	79.7	82.9
71	81.2	80.5	81.7	82.1	80.2	83.3
72	81.7	81	82.1	82.6	80.7	83.7
73	82.2	81.5	82.6	83.1	81.2	84.1
74	82.7	82.1	83.1	83.6	81.7	84.6
75	83.2	82.6	83.6	84.1	82.3	85
76	83.7	83.2	84.1	84.6	82.9	85.5
77	84.3	83.8	84.7	85.2	83.5	86
78	84.9	84.4	85.2	85.8	84.1	86.5
79	85.5	85.1	85.8	86.4	84.8	87.1
80	86.1	85.7	86.4	87	85.4	87.6
81	86.8	86.4	87	87.6	86.1	88.2
82	87.4	87.1	87.7	88.3	86.8	88.8
83	88.1	87.8	88.3	88.9	87.5	89.4
84	88.8	88.5	89	89.6	88.3	90.1
85	89.5	89.3	89.7	90.3	89	90.7
86	90.3	90	90.4	91	89.8	91.4
87	91	90.8	91.2	91.7	90.6	92.1
88	91.8	91.6	92	92.5	91.4	92.8
89	92.6	92.4	92.7	93.2	92.2	93.5
90	93.4	93.2	93.5	94	93	94.2
91	94.2	94	94.3	94.8	93.8	95
92	95	94.9	95.1	95.6	94.7	95.7
93	95.9	95.7	95.9	96.4	95.5	96.5
94	96.7	96.6	96.8	97.2	96.4	97.3
95	97.6	97.4	97.6	98	97.3	98.1
96	98.4	98.3	98.5	98.9	98.2	99
97	99.3	99.2	99.4	99.7	99.1	99.8
98	100.2	100.1	100.3	100.6	100	100.7
99	101.1	101	101.2	101.5	100.9	101.5
100	102	101.9	102.1	102.4	101.8	102.4

Odds of living to age in Guinea-Bissau vs Moldova

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71.3% in Guinea-Bissau and 80.1% in Moldova are expected to survive till at least 60 years old, 54.3% and 62.2% will live to 70 years or older, 27.5% and 34.3% to 80+ years, and 5.32% and 8.82% 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			Moldova
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.9%	99.1%	98.9%	99.2%
2	94.5%	94%	95.1%	99%	98.9%	99.2%
3	94%	93.4%	94.6%	98.9%	98.8%	99.1%
4	93.6%	93%	94.2%	98.9%	98.8%	99.1%
5	93.4%	92.8%	94%	98.9%	98.7%	99%
6	93.2%	92.6%	93.8%	98.9%	98.7%	99%
7	93.1%	92.4%	93.7%	98.8%	98.7%	99%
8	92.9%	92.3%	93.6%	98.8%	98.7%	99%
9	92.8%	92.2%	93.5%	98.8%	98.6%	99%
10	92.7%	92%	93.4%	98.8%	98.6%	99%
11	92.6%	91.9%	93.3%	98.8%	98.6%	98.9%
12	92.5%	91.8%	93.2%	98.7%	98.6%	98.9%
13	92.4%	91.7%	93.1%	98.7%	98.5%	98.9%
14	92.3%	91.6%	93%	98.7%	98.5%	98.9%
15	92.2%	91.5%	92.9%	98.7%	98.5%	98.9%
16	92.1%	91.4%	92.8%	98.6%	98.4%	98.8%
17	92%	91.2%	92.7%	98.6%	98.4%	98.8%
18	91.8%	91%	92.6%	98.5%	98.3%	98.8%
19	91.6%	90.9%	92.5%	98.5%	98.2%	98.7%
20	91.5%	90.6%	92.3%	98.4%	98.1%	98.7%
21	91.3%	90.4%	92.2%	98.4%	98%	98.7%
22	91.1%	90.2%	92%	98.3%	97.9%	98.7%
23	90.9%	89.9%	91.8%	98.2%	97.8%	98.6%
24	90.7%	89.7%	91.7%	98.2%	97.7%	98.6%
25	90.4%	89.4%	91.5%	98.1%	97.6%	98.6%
26	90.2%	89.1%	91.3%	98%	97.5%	98.5%
27	90%	88.9%	91.1%	97.9%	97.3%	98.5%
28	89.7%	88.6%	90.9%	97.8%	97.2%	98.4%
29	89.5%	88.3%	90.7%	97.7%	97%	98.4%
30	89.2%	88%	90.5%	97.6%	96.8%	98.3%
31	89%	87.7%	90.3%	97.4%	96.6%	98.3%
32	88.7%	87.4%	90.1%	97.3%	96.4%	98.2%
33	88.4%	87%	89.8%	97.1%	96.2%	98.1%
34	88.1%	86.7%	89.6%	97%	95.9%	98%
35	87.8%	86.3%	89.3%	96.8%	95.6%	97.9%
36	87.5%	85.9%	89%	96.6%	95.3%	97.8%
37	87.1%	85.5%	88.8%	96.3%	95%	97.7%
38	86.8%	85.1%	88.5%	96%	94.6%	97.5%
39	86.4%	84.7%	88.1%	95.7%	94.1%	97.4%
40	86%	84.2%	87.8%	95.4%	93.6%	97.2%
41	85.6%	83.7%	87.5%	95.1%	93.1%	97%
42	85.1%	83.2%	87.1%	94.7%	92.5%	96.8%
43	84.7%	82.7%	86.7%	94.3%	91.9%	96.6%
44	84.2%	82.1%	86.3%	93.8%	91.3%	96.3%
45	83.7%	81.5%	85.9%	93.3%	90.6%	96%
46	83.1%	80.9%	85.4%	92.8%	89.8%	95.7%
47	82.6%	80.2%	85%	92.2%	89%	95.4%
48	82%	79.5%	84.5%	91.6%	88.1%	95.1%
49	81.3%	78.8%	84%	91%	87.2%	94.7%
50	80.7%	78%	83.4%	90.3%	86.2%	94.3%
51	79.9%	77.1%	82.8%	89.6%	85.1%	93.9%
52	79.2%	76.2%	82.2%	88.8%	83.9%	93.5%
53	78.4%	75.3%	81.5%	87.9%	82.7%	93%
54	77.5%	74.3%	80.8%	87%	81.4%	92.4%
55	76.6%	73.2%	80%	86.1%	80%	91.8%
56	75.7%	72.1%	79.2%	85%	78.6%	91.2%
57	74.7%	70.9%	78.4%	83.9%	77.1%	90.5%
58	73.6%	69.7%	77.5%	82.8%	75.5%	89.7%
59	72.5%	68.4%	76.5%	81.5%	73.8%	88.8%
60	71.3%	67.1%	75.4%	80.1%	71.9%	87.9%
61	70%	65.6%	74.3%	78.7%	70%	86.9%
62	68.6%	64%	73.1%	77.2%	67.9%	85.9%
63	67.2%	62.4%	71.8%	75.6%	65.8%	84.7%
64	65.6%	60.6%	70.4%	73.9%	63.6%	83.5%
65	64%	58.8%	68.8%	72.1%	61.3%	82.2%
66	62.2%	56.9%	67.2%	70.3%	59%	80.8%
67	60.4%	54.9%	65.5%	68.4%	56.7%	79.3%
68	58.5%	52.8%	63.6%	66.5%	54.4%	77.7%
69	56.4%	50.6%	61.7%	64.4%	52.1%	75.9%
70	54.3%	48.3%	59.6%	62.2%	49.7%	74%
71	51.9%	45.9%	57.3%	60%	47.2%	71.9%
72	49.6%	43.5%	54.9%	57.5%	44.6%	69.5%
73	47%	40.9%	52.4%	55%	42%	67%
74	44.4%	38.3%	49.7%	52.2%	39.3%	64.3%
75	41.7%	35.6%	46.9%	49.4%	36.4%	61.5%
76	38.9%	32.9%	44.1%	46.5%	33.5%	58.5%
77	36.1%	30.2%	41.1%	43.5%	30.6%	55.4%
78	33.2%	27.5%	38.1%	40.4%	27.7%	52.2%
79	30.4%	24.9%	35.1%	37.3%	24.8%	48.9%
80	27.5%	22.3%	32%	34.3%	22%	45.6%
81	24.7%	19.7%	28.9%	31.2%	19.3%	42.2%
82	21.9%	17.3%	26%	28.2%	16.7%	38.7%
83	19.3%	15%	23%	25.3%	14.3%	35.3%
84	16.7%	12.8%	20.2%	22.5%	12.1%	31.9%
85	14.3%	10.8%	17.4%	19.8%	10.1%	28.5%
86	12.1%	8.99%	14.9%	17.2%	8.33%	25.3%
87	10.1%	7.36%	12.5%	14.8%	6.73%	22.2%
88	8.27%	5.94%	10.4%	12.6%	5.34%	19.2%
89	6.68%	4.71%	8.48%	10.6%	4.17%	16.4%
90	5.32%	3.67%	6.82%	8.82%	3.19%	13.8%
91	4.14%	2.81%	5.38%	7.21%	2.39%	11.5%
92	3.19%	2.11%	4.18%	5.81%	1.76%	9.42%
93	2.4%	1.55%	3.18%	4.6%	1.26%	7.59%
94	1.76%	1.12%	2.37%	3.59%	0.89%	6.01%
95	1.27%	0.79%	1.73%	2.75%	0.61%	4.67%
96	0.89%	0.54%	1.23%	2.06%	0.41%	3.56%
97	0.61%	0.36%	0.85%	1.52%	0.26%	2.66%
98	0.41%	0.24%	0.58%	1.1%	0.17%	1.94%
99	0.27%	0.15%	0.39%	0.77%	0.1%	1.39%
100	0.17%	0.1%	0.25%	0.53%	0.06%	0.97%

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 0.93% in Moldova, 0.3% vs 0.13% at age 30, 1.82% vs 1.8% at 60, and 10.3% vs 8.89% at 80.

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

Table

Age	Probability of dying
	Guinea-Bissau			Moldova
	Average	Male	Female	Average	Male	Female
0	4.65%	5.15%	4.15%	0.93%	1.07%	0.78%
1	0.88%	0.94%	0.83%	0.07%	0.07%	0.07%
2	0.54%	0.58%	0.5%	0.05%	0.05%	0.05%
3	0.37%	0.4%	0.35%	0.04%	0.04%	0.03%
4	0.26%	0.28%	0.25%	0.03%	0.03%	0.03%
5	0.2%	0.21%	0.19%	0.02%	0.03%	0.02%
6	0.17%	0.18%	0.15%	0.02%	0.02%	0.02%
7	0.14%	0.15%	0.13%	0.02%	0.02%	0.02%
8	0.12%	0.13%	0.11%	0.02%	0.02%	0.02%
9	0.11%	0.12%	0.1%	0.02%	0.02%	0.02%
10	0.11%	0.12%	0.09%	0.02%	0.02%	0.02%
11	0.1%	0.11%	0.09%	0.02%	0.02%	0.02%
12	0.1%	0.11%	0.09%	0.02%	0.03%	0.02%
13	0.11%	0.12%	0.1%	0.03%	0.03%	0.02%
14	0.12%	0.13%	0.1%	0.03%	0.04%	0.03%
15	0.13%	0.14%	0.11%	0.04%	0.05%	0.03%
16	0.14%	0.16%	0.12%	0.04%	0.06%	0.03%
17	0.16%	0.19%	0.13%	0.05%	0.07%	0.03%
18	0.18%	0.21%	0.14%	0.05%	0.08%	0.03%
19	0.19%	0.23%	0.15%	0.06%	0.09%	0.03%
20	0.21%	0.25%	0.16%	0.06%	0.1%	0.03%
21	0.22%	0.26%	0.17%	0.07%	0.1%	0.03%
22	0.23%	0.28%	0.18%	0.07%	0.11%	0.03%
23	0.24%	0.29%	0.18%	0.07%	0.11%	0.03%
24	0.24%	0.3%	0.19%	0.08%	0.12%	0.04%
25	0.25%	0.3%	0.2%	0.09%	0.13%	0.04%
26	0.26%	0.31%	0.21%	0.09%	0.14%	0.04%
27	0.27%	0.32%	0.22%	0.1%	0.16%	0.05%
28	0.28%	0.33%	0.22%	0.11%	0.17%	0.05%
29	0.28%	0.34%	0.23%	0.12%	0.19%	0.06%
30	0.3%	0.35%	0.24%	0.13%	0.2%	0.07%
31	0.31%	0.36%	0.25%	0.14%	0.22%	0.07%
32	0.32%	0.38%	0.27%	0.16%	0.24%	0.08%
33	0.34%	0.4%	0.28%	0.18%	0.27%	0.09%
34	0.36%	0.42%	0.29%	0.2%	0.3%	0.1%
35	0.37%	0.44%	0.31%	0.22%	0.34%	0.12%
36	0.39%	0.47%	0.32%	0.25%	0.38%	0.13%
37	0.41%	0.49%	0.34%	0.28%	0.42%	0.15%
38	0.44%	0.52%	0.36%	0.31%	0.47%	0.16%
39	0.46%	0.55%	0.38%	0.34%	0.51%	0.18%
40	0.49%	0.58%	0.4%	0.38%	0.56%	0.2%
41	0.51%	0.61%	0.42%	0.41%	0.61%	0.22%
42	0.55%	0.65%	0.45%	0.44%	0.66%	0.24%
43	0.57%	0.69%	0.46%	0.48%	0.71%	0.26%
44	0.61%	0.73%	0.49%	0.51%	0.77%	0.28%
45	0.65%	0.78%	0.52%	0.56%	0.84%	0.3%
46	0.68%	0.82%	0.54%	0.6%	0.91%	0.33%
47	0.72%	0.88%	0.58%	0.65%	0.99%	0.35%
48	0.77%	0.94%	0.62%	0.7%	1.07%	0.38%
49	0.83%	1.01%	0.66%	0.76%	1.17%	0.42%
50	0.9%	1.09%	0.72%	0.82%	1.26%	0.45%
51	0.94%	1.15%	0.76%	0.89%	1.36%	0.49%
52	1.03%	1.25%	0.83%	0.95%	1.46%	0.53%
53	1.09%	1.33%	0.88%	1.02%	1.57%	0.58%
54	1.16%	1.42%	0.94%	1.1%	1.68%	0.64%
55	1.24%	1.51%	1%	1.19%	1.79%	0.71%
56	1.32%	1.61%	1.08%	1.29%	1.93%	0.78%
57	1.41%	1.72%	1.15%	1.4%	2.08%	0.86%
58	1.53%	1.86%	1.26%	1.52%	2.26%	0.95%
59	1.65%	2.01%	1.36%	1.66%	2.47%	1.04%
60	1.82%	2.2%	1.52%	1.8%	2.7%	1.13%
61	1.94%	2.35%	1.62%	1.95%	2.93%	1.23%
62	2.13%	2.58%	1.8%	2.1%	3.16%	1.33%
63	2.31%	2.79%	1.97%	2.24%	3.36%	1.44%
64	2.51%	3.02%	2.16%	2.38%	3.55%	1.55%
65	2.73%	3.28%	2.37%	2.52%	3.73%	1.69%
66	2.94%	3.52%	2.57%	2.67%	3.9%	1.85%
67	3.2%	3.82%	2.82%	2.86%	4.1%	2.04%
68	3.51%	4.15%	3.11%	3.09%	4.33%	2.27%
69	3.82%	4.5%	3.4%	3.36%	4.62%	2.55%
70	4.26%	4.97%	3.84%	3.68%	4.97%	2.88%
71	4.57%	5.32%	4.12%	4.05%	5.4%	3.24%
72	5.1%	5.88%	4.63%	4.46%	5.92%	3.63%
73	5.56%	6.39%	5.07%	4.92%	6.52%	4.03%
74	6.1%	6.96%	5.58%	5.42%	7.19%	4.44%
75	6.69%	7.58%	6.14%	5.93%	7.94%	4.85%
76	7.28%	8.22%	6.7%	6.47%	8.75%	5.29%
77	7.9%	8.89%	7.28%	7.05%	9.59%	5.76%
78	8.69%	9.71%	8.04%	7.64%	10.5%	6.27%
79	9.4%	10.5%	8.71%	8.24%	11.3%	6.84%
80	10.3%	11.4%	9.62%	8.89%	12.2%	7.47%
81	11%	12.2%	10.3%	9.59%	13.2%	8.16%
82	12.2%	13.4%	11.4%	10.3%	14.2%	8.9%
83	13.2%	14.5%	12.4%	11.2%	15.4%	9.68%
84	14.4%	15.7%	13.6%	12%	16.6%	10.5%
85	15.5%	16.8%	14.7%	12.9%	17.8%	11.4%
86	16.7%	18.1%	15.9%	13.8%	19.2%	12.3%
87	17.9%	19.3%	17%	14.8%	20.6%	13.4%
88	19.2%	20.7%	18.3%	15.9%	22%	14.5%
89	20.4%	22%	19.5%	17%	23.5%	15.6%
90	22.1%	23.6%	21.2%	18.2%	25%	16.9%
91	23.1%	24.8%	22.2%	19.5%	26.5%	18.2%
92	24.8%	26.4%	23.9%	20.7%	28.2%	19.5%
93	26.3%	28%	25.5%	22.1%	29.9%	20.8%
94	28%	29.6%	27.1%	23.4%	31.5%	22.3%
95	29.7%	31.3%	28.9%	24.9%	33.2%	23.7%
96	31.3%	32.8%	30.5%	26.4%	34.8%	25.3%
97	32.8%	34.3%	32%	27.9%	36.5%	26.9%
98	34.2%	35.7%	33.5%	29.4%	38.2%	28.6%
99	36.1%	37.5%	35.4%	31%	39.9%	30.2%
100	37.5%	38.9%	36.9%	32.5%	41.6%	31.8%

Death rate by age in Guinea-Bissau compared to Moldova

In Guinea-Bissau, the most common age of death is 0, compared to 78 in Moldova. The median age of death is 71.8 in Guinea-Bissau and 74.8 in Moldova — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea-Bissau			Moldova
	Total	Male	Female	Total	Male	Female
0	4,655	5,152	4,147	932	1,072	785
1	843	888	797	67.3	69.1	65.4
2	511	542	480	50.6	54.3	46.7
3	349	371	327	38.6	42.9	34
4	247.5	262.6	231.7	30.2	34.5	25.5
5	187.5	199.5	175	24.3	28.4	19.9
6	154.2	165.3	142.6	20.4	24.1	16.5
7	130.9	141.4	119.9	18.4	21.5	15
8	114.4	124.3	104.1	17.7	20.3	15
9	103.7	113.1	93.9	18.3	20.3	16
10	97.5	106.1	88.5	19.6	21.4	17.7
11	94.7	102.7	86.4	21.7	23.6	19.7
12	95.9	104.1	87.3	24.7	27.2	22
13	100.2	109.3	90.8	28.3	32.4	23.9
14	108.2	118.9	97	32.6	39.5	25.3
15	118.9	131.9	105.5	37.3	48.4	26.1
16	133.3	150.2	115.7	42.4	58.6	26.4
17	147.6	170	124.3	47.6	69.2	26.5
18	162.7	190.8	133.7	52.6	79.1	26.7
19	175.7	208.8	141.4	57	87.6	27.1
20	187.7	225.3	148.9	60.8	94.4	28
21	198.1	239.1	155.7	64.2	100.1	29.2
22	207.1	250.3	162.5	68.1	105.8	30.9
23	214.4	258.3	169.1	72.7	112.3	33.3
24	220.9	264.6	175.9	78.3	120.1	36.2
25	226.7	269.7	182.4	84.9	129.7	39.7
26	232.7	275	189.2	92.1	140.6	43.8
27	239.2	281.1	196.1	100.3	152.6	48.4
28	247.1	288.9	204.1	109	165.5	53.6
29	254.6	297.3	210.8	118.3	179.5	59.4
30	265.8	309	221	128.7	194.8	65.8
31	272.8	318	226.6	140.9	212.3	73.1
32	287.1	334	238.9	155.4	232.9	81.5
33	299.4	348	249.4	172.8	257.6	91.1
34	313	364	260.9	193.2	287	102.3
35	329	383	273.7	216.9	321	114.8
36	345	401	287.1	243.5	358	128.6
37	360	420	300	271.4	399	143.5
38	381	442	318	300	440	159.1
39	399	463	332	330	482	175.2
40	423	492	353	359	524	191.9
41	438	509	364	388	567	209.3
42	467	543	389	417	610	227.6
43	486	566	403	448	656	247.1
44	510	597	422	482	705	267.9
45	540	633	445	518	758	290.2
46	565	663	465	557	816	314
47	596	702	489	599	879	339
48	635	748	523	645	946	365
49	673	794	555	693	1,016	393
50	724	853	602	743	1,088	424
51	755	890	627	795	1,160	458
52	812	952	680	846	1,229	497
53	854	1,000	715	900	1,297	541
54	903	1,054	760	961	1,365	592
55	949	1,106	803	1,028	1,436	649
56	1,002	1,164	854	1,098	1,514	711
57	1,055	1,223	903	1,175	1,605	778
58	1,127	1,299	974	1,260	1,708	848
59	1,195	1,374	1,041	1,351	1,822	921
60	1,297	1,477	1,147	1,444	1,940	994
61	1,354	1,541	1,204	1,534	2,051	1,067
62	1,463	1,651	1,319	1,617	2,144	1,140
63	1,551	1,740	1,414	1,689	2,213	1,216
64	1,645	1,832	1,517	1,757	2,258	1,297
65	1,748	1,928	1,631	1,819	2,285	1,388
66	1,830	2,002	1,725	1,880	2,305	1,493
67	1,934	2,096	1,843	1,957	2,326	1,619
68	2,051	2,193	1,979	2,053	2,358	1,768
69	2,152	2,277	2,096	2,162	2,405	1,939
70	2,313	2,399	2,287	2,288	2,470	2,129
71	2,375	2,444	2,361	2,427	2,550	2,328
72	2,527	2,557	2,542	2,568	2,641	2,522
73	2,618	2,614	2,655	2,706	2,736	2,699
74	2,710	2,666	2,774	2,831	2,824	2,853
75	2,789	2,702	2,883	2,930	2,894	2,982
76	2,832	2,707	2,950	3,008	2,934	3,092
77	2,852	2,688	2,994	3,064	2,935	3,189
78	2,888	2,674	3,064	3,086	2,893	3,274
79	2,853	2,605	3,052	3,074	2,809	3,348
80	2,842	2,546	3,078	3,045	2,690	3,405
81	2,719	2,409	2,966	2,993	2,546	3,441
82	2,671	2,318	2,955	2,920	2,382	3,446
83	2,545	2,169	2,850	2,826	2,203	3,416
84	2,407	2,014	2,732	2,703	2,011	3,351
85	2,219	1,819	2,554	2,553	1,808	3,251
86	2,022	1,627	2,357	2,383	1,598	3,120
87	1,803	1,424	2,129	2,200	1,385	2,961
88	1,587	1,228	1,900	2,007	1,176	2,776
89	1,366	1,035	1,657	1,809	978	2,566
90	1,173	865	1,447	1,607	796	2,336
91	959	695	1,195	1,405	634	2,091
92	791	558	1,001	1,205	495	1,835
93	631	435	810	1,015	377	1,580
94	493	331	643	841	279.1	1,337
95	377	246.6	499	683	201.1	1,109
96	279.6	177.9	375	544	141.2	902
97	201.5	124.9	273.7	424	96.5	716
98	141.4	85.4	194.6	323	64	555
99	98	57.6	136.6	239.5	41.3	420
100	10.5	0	24.3	110.2	0	222.7

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 Moldova 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 Moldova: Comparing Facts

By topic vs comparisons:

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