Life Expectancy in Denmark vs Guinea-Bissau (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 Denmark vs Guinea-Bissau: 82.7 years vs 71.3 at 30, 85.3 vs 78.7 at 65, 89.3 vs 86.1 at 80 — significantly higher than the 82.2 vs 64.4 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Denmark and Guinea-Bissau.

Table

Current age, years	Total life expectancy, years
	Denmark			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
0	82.2	80.4	84.1	64.4	62	66.7
1	82.5	80.6	84.3	67.6	65.4	69.7
2	82.5	80.7	84.3	68.2	66	70.2
3	82.5	80.7	84.3	68.6	66.4	70.6
4	82.5	80.7	84.3	68.8	66.6	70.8
5	82.5	80.7	84.3	69	66.8	71
6	82.5	80.7	84.3	69.1	66.9	71.1
7	82.5	80.7	84.3	69.2	67	71.2
8	82.5	80.7	84.3	69.3	67.1	71.3
9	82.5	80.7	84.4	69.4	67.2	71.4
10	82.5	80.7	84.4	69.5	67.3	71.4
11	82.5	80.7	84.4	69.5	67.3	71.5
12	82.5	80.7	84.4	69.6	67.4	71.6
13	82.5	80.7	84.4	69.6	67.5	71.6
14	82.5	80.7	84.4	69.7	67.5	71.7
15	82.5	80.7	84.4	69.8	67.6	71.7
16	82.5	80.7	84.4	69.8	67.7	71.8
17	82.6	80.7	84.4	69.9	67.8	71.9
18	82.6	80.7	84.4	70	67.9	71.9
19	82.6	80.8	84.4	70.1	68	72
20	82.6	80.8	84.4	70.2	68.1	72.1
21	82.6	80.8	84.4	70.3	68.2	72.2
22	82.6	80.8	84.4	70.4	68.3	72.3
23	82.6	80.8	84.4	70.5	68.5	72.4
24	82.6	80.8	84.4	70.6	68.6	72.5
25	82.7	80.9	84.4	70.7	68.7	72.5
26	82.7	80.9	84.4	70.9	68.8	72.6
27	82.7	80.9	84.5	71	69	72.7
28	82.7	80.9	84.5	71.1	69.1	72.8
29	82.7	80.9	84.5	71.2	69.2	72.9
30	82.7	81	84.5	71.3	69.4	73
31	82.8	81	84.5	71.5	69.5	73.2
32	82.8	81	84.5	71.6	69.7	73.3
33	82.8	81	84.5	71.7	69.8	73.4
34	82.8	81.1	84.5	71.8	70	73.5
35	82.8	81.1	84.5	72	70.1	73.6
36	82.8	81.1	84.6	72.1	70.3	73.7
37	82.9	81.1	84.6	72.3	70.4	73.8
38	82.9	81.2	84.6	72.4	70.6	74
39	82.9	81.2	84.6	72.6	70.8	74.1
40	82.9	81.2	84.6	72.7	70.9	74.2
41	83	81.3	84.7	72.9	71.1	74.4
42	83	81.3	84.7	73	71.3	74.5
43	83	81.3	84.7	73.2	71.5	74.6
44	83.1	81.4	84.7	73.4	71.7	74.8
45	83.1	81.4	84.8	73.6	71.9	74.9
46	83.2	81.5	84.8	73.7	72.1	75.1
47	83.2	81.5	84.8	73.9	72.3	75.3
48	83.3	81.6	84.9	74.1	72.5	75.4
49	83.3	81.7	84.9	74.3	72.8	75.6
50	83.4	81.8	85	74.5	73	75.8
51	83.5	81.8	85	74.8	73.2	76
52	83.5	81.9	85.1	75	73.5	76.1
53	83.6	82	85.2	75.2	73.8	76.3
54	83.7	82.1	85.2	75.5	74	76.5
55	83.8	82.2	85.3	75.7	74.3	76.8
56	83.9	82.4	85.4	76	74.6	77
57	84	82.5	85.5	76.2	74.9	77.2
58	84.1	82.6	85.6	76.5	75.2	77.4
59	84.3	82.8	85.7	76.8	75.5	77.7
60	84.4	83	85.8	77.1	75.9	77.9
61	84.6	83.1	86	77.4	76.2	78.2
62	84.7	83.3	86.1	77.7	76.6	78.5
63	84.9	83.5	86.2	78	77	78.8
64	85.1	83.7	86.4	78.4	77.3	79.1
65	85.3	84	86.5	78.7	77.7	79.4
66	85.5	84.2	86.7	79.1	78.2	79.7
67	85.7	84.4	86.9	79.5	78.6	80.1
68	85.9	84.7	87.1	79.9	79	80.5
69	86.1	84.9	87.2	80.3	79.5	80.8
70	86.4	85.2	87.4	80.7	80	81.2
71	86.6	85.4	87.6	81.2	80.5	81.7
72	86.8	85.7	87.8	81.6	81	82.1
73	87.1	86	88.1	82.1	81.5	82.6
74	87.4	86.3	88.3	82.6	82	83.1
75	87.7	86.6	88.5	83.2	82.6	83.6
76	88	87	88.8	83.7	83.2	84.1
77	88.3	87.3	89.1	84.3	83.8	84.6
78	88.6	87.7	89.4	84.9	84.4	85.2
79	88.9	88	89.7	85.5	85.1	85.8
80	89.3	88.4	90	86.1	85.7	86.4
81	89.7	88.9	90.3	86.8	86.4	87
82	90.1	89.3	90.7	87.4	87.1	87.7
83	90.6	89.8	91.1	88.1	87.8	88.3
84	91	90.3	91.6	88.8	88.5	89
85	91.5	90.8	92	89.5	89.2	89.7
86	92.1	91.4	92.5	90.3	90	90.4
87	92.6	92	93	91	90.8	91.2
88	93.2	92.6	93.6	91.8	91.6	91.9
89	93.8	93.2	94.1	92.6	92.4	92.7
90	94.4	93.9	94.7	93.4	93.2	93.5
91	95.1	94.6	95.4	94.2	94	94.3
92	95.8	95.3	96	95	94.9	95.1
93	96.5	96	96.7	95.9	95.7	95.9
94	97.2	96.8	97.4	96.7	96.6	96.8
95	98	97.6	98.1	97.6	97.4	97.6
96	98.8	98.4	98.9	98.4	98.3	98.5
97	99.6	99.2	99.7	99.3	99.2	99.4
98	100.4	100.1	100.5	100.2	100.1	100.3
99	101.2	100.9	101.3	101.1	101	101.2
100	102.1	101.8	102.2	102	101.9	102.1

Odds of living to age in Denmark vs Guinea-Bissau

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 94.1% in Denmark and 71% in Guinea-Bissau are expected to survive till at least 60 years old, 85.4% and 54% will live to 70 years or older, 66.9% and 27.3% to 80+ years, and 29.1% and 5.25% 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
	Denmark			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.8%	95.3%	94.8%	95.8%
2	99.7%	99.7%	99.7%	94.4%	93.9%	95%
3	99.7%	99.6%	99.7%	93.9%	93.3%	94.5%
4	99.7%	99.6%	99.7%	93.5%	92.9%	94.1%
5	99.7%	99.6%	99.7%	93.3%	92.7%	93.9%
6	99.7%	99.6%	99.7%	93.1%	92.5%	93.7%
7	99.7%	99.6%	99.7%	92.9%	92.3%	93.6%
8	99.7%	99.6%	99.7%	92.8%	92.2%	93.4%
9	99.7%	99.6%	99.7%	92.7%	92%	93.3%
10	99.7%	99.6%	99.7%	92.6%	91.9%	93.2%
11	99.6%	99.6%	99.7%	92.5%	91.8%	93.2%
12	99.6%	99.6%	99.7%	92.4%	91.7%	93.1%
13	99.6%	99.6%	99.7%	92.3%	91.6%	93%
14	99.6%	99.6%	99.7%	92.2%	91.5%	92.9%
15	99.6%	99.6%	99.7%	92.1%	91.4%	92.8%
16	99.6%	99.6%	99.7%	92%	91.2%	92.7%
17	99.6%	99.6%	99.7%	91.8%	91.1%	92.6%
18	99.6%	99.5%	99.6%	91.7%	90.9%	92.4%
19	99.6%	99.5%	99.6%	91.5%	90.7%	92.3%
20	99.6%	99.5%	99.6%	91.3%	90.5%	92.2%
21	99.5%	99.5%	99.6%	91.1%	90.3%	92%
22	99.5%	99.4%	99.6%	90.9%	90%	91.8%
23	99.5%	99.4%	99.6%	90.7%	89.8%	91.7%
24	99.5%	99.4%	99.6%	90.5%	89.5%	91.5%
25	99.4%	99.3%	99.6%	90.3%	89.3%	91.3%
26	99.4%	99.3%	99.5%	90.1%	89%	91.1%
27	99.4%	99.3%	99.5%	89.8%	88.7%	91%
28	99.4%	99.2%	99.5%	89.6%	88.4%	90.8%
29	99.3%	99.2%	99.5%	89.3%	88.1%	90.5%
30	99.3%	99.1%	99.5%	89.1%	87.8%	90.3%
31	99.3%	99.1%	99.5%	88.8%	87.5%	90.1%
32	99.2%	99.1%	99.4%	88.5%	87.2%	89.9%
33	99.2%	99%	99.4%	88.2%	86.9%	89.6%
34	99.2%	99%	99.4%	87.9%	86.5%	89.4%
35	99.1%	98.9%	99.4%	87.6%	86.1%	89.1%
36	99.1%	98.8%	99.3%	87.3%	85.8%	88.8%
37	99%	98.8%	99.3%	86.9%	85.4%	88.5%
38	99%	98.7%	99.3%	86.6%	84.9%	88.2%
39	98.9%	98.6%	99.2%	86.2%	84.5%	87.9%
40	98.9%	98.6%	99.2%	85.8%	84%	87.6%
41	98.8%	98.5%	99.1%	85.4%	83.5%	87.2%
42	98.7%	98.4%	99.1%	84.9%	83%	86.9%
43	98.6%	98.3%	99%	84.4%	82.5%	86.5%
44	98.5%	98.2%	98.9%	84%	81.9%	86.1%
45	98.4%	98.1%	98.8%	83.4%	81.3%	85.6%
46	98.3%	97.9%	98.8%	82.9%	80.7%	85.2%
47	98.2%	97.8%	98.7%	82.3%	80%	84.7%
48	98.1%	97.6%	98.6%	81.7%	79.3%	84.2%
49	97.9%	97.4%	98.4%	81.1%	78.5%	83.7%
50	97.7%	97.1%	98.3%	80.4%	77.7%	83.1%
51	97.5%	96.9%	98.1%	79.7%	76.9%	82.5%
52	97.3%	96.6%	98%	78.9%	76%	81.9%
53	97%	96.3%	97.8%	78.1%	75%	81.2%
54	96.7%	96%	97.5%	77.3%	74%	80.5%
55	96.4%	95.6%	97.3%	76.3%	73%	79.7%
56	96%	95.1%	97%	75.4%	71.8%	78.9%
57	95.6%	94.6%	96.7%	74.4%	70.7%	78.1%
58	95.2%	94.1%	96.3%	73.3%	69.5%	77.2%
59	94.7%	93.5%	95.9%	72.2%	68.2%	76.2%
60	94.1%	92.8%	95.5%	71%	66.8%	75.2%
61	93.5%	92.1%	95%	69.7%	65.3%	74%
62	92.9%	91.3%	94.5%	68.4%	63.8%	72.8%
63	92.2%	90.4%	93.9%	66.9%	62.1%	71.5%
64	91.4%	89.5%	93.3%	65.3%	60.4%	70.1%
65	90.5%	88.5%	92.7%	63.7%	58.5%	68.5%
66	89.6%	87.4%	91.9%	62%	56.6%	66.9%
67	88.7%	86.2%	91.2%	60.1%	54.6%	65.2%
68	87.6%	85%	90.3%	58.2%	52.5%	63.3%
69	86.5%	83.7%	89.4%	56.1%	50.3%	61.4%
70	85.4%	82.3%	88.5%	54%	48%	59.3%
71	84.1%	80.8%	87.5%	51.7%	45.6%	57%
72	82.8%	79.2%	86.4%	49.3%	43.2%	54.6%
73	81.3%	77.5%	85.1%	46.8%	40.7%	52.1%
74	79.7%	75.7%	83.8%	44.2%	38%	49.4%
75	78%	73.7%	82.3%	41.5%	35.4%	46.7%
76	76.1%	71.6%	80.7%	38.7%	32.7%	43.8%
77	74.1%	69.3%	79%	35.8%	30%	40.9%
78	71.9%	66.9%	77.1%	33%	27.3%	37.9%
79	69.5%	64.2%	74.9%	30.1%	24.7%	34.8%
80	66.9%	61.4%	72.6%	27.3%	22.1%	31.8%
81	64.1%	58.3%	70%	24.4%	19.5%	28.7%
82	61%	54.9%	67.1%	21.7%	17.1%	25.8%
83	57.6%	51.3%	63.9%	19.1%	14.8%	22.8%
84	54%	47.6%	60.5%	16.6%	12.7%	20%
85	50.2%	43.6%	56.8%	14.2%	10.7%	17.3%
86	46.2%	39.5%	52.8%	12%	8.89%	14.7%
87	42%	35.3%	48.7%	9.97%	7.28%	12.4%
88	37.7%	31.1%	44.4%	8.18%	5.87%	10.3%
89	33.4%	26.9%	39.9%	6.61%	4.65%	8.4%
90	29.1%	22.8%	35.4%	5.25%	3.63%	6.76%
91	24.9%	18.9%	30.8%	4.09%	2.77%	5.32%
92	20.9%	15.3%	26.4%	3.15%	2.08%	4.14%
93	17.2%	12%	22.1%	2.36%	1.53%	3.15%
94	13.8%	9.22%	18.1%	1.74%	1.1%	2.34%
95	10.8%	6.84%	14.4%	1.25%	0.78%	1.71%
96	8.18%	4.92%	11.2%	0.88%	0.53%	1.21%
97	6.04%	3.42%	8.42%	0.61%	0.36%	0.84%
98	4.33%	2.29%	6.15%	0.41%	0.24%	0.57%
99	3%	1.48%	4.35%	0.27%	0.15%	0.38%
100	2.01%	0.92%	2.97%	0.17%	0.09%	0.25%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.27% in the birth year in Denmark and 4.74% in Guinea-Bissau, 0.03% vs 0.3% at age 30, 0.64% vs 1.83% at 60, and 4.26% vs 10.4% at 80.

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

Table

Age	Probability of dying
	Denmark			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
0	0.27%	0.3%	0.24%	4.74%	5.23%	4.23%
1	0.03%	0.04%	0.03%	0.9%	0.95%	0.85%
2	0.01%	0.01%	0.01%	0.55%	0.58%	0.52%
3	0.006%	0.007%	0.005%	0.38%	0.4%	0.35%
4	0.005%	0.005%	0.004%	0.27%	0.29%	0.25%
5	0.004%	0.005%	0.004%	0.2%	0.22%	0.19%
6	0.004%	0.004%	0.004%	0.17%	0.18%	0.15%
7	0.004%	0.004%	0.004%	0.14%	0.15%	0.13%
8	0.004%	0.004%	0.004%	0.13%	0.14%	0.11%
9	0.004%	0.004%	0.003%	0.11%	0.12%	0.1%
10	0.004%	0.005%	0.003%	0.11%	0.12%	0.1%
11	0.004%	0.005%	0.003%	0.1%	0.11%	0.09%
12	0.004%	0.005%	0.003%	0.11%	0.11%	0.1%
13	0.005%	0.006%	0.004%	0.11%	0.12%	0.1%
14	0.006%	0.007%	0.006%	0.12%	0.13%	0.11%
15	0.008%	0.01%	0.007%	0.13%	0.15%	0.12%
16	0.01%	0.01%	0.008%	0.15%	0.17%	0.13%
17	0.01%	0.02%	0.01%	0.16%	0.19%	0.14%
18	0.02%	0.02%	0.01%	0.18%	0.21%	0.15%
19	0.02%	0.03%	0.01%	0.19%	0.23%	0.16%
20	0.02%	0.03%	0.01%	0.21%	0.25%	0.16%
21	0.02%	0.03%	0.01%	0.22%	0.27%	0.17%
22	0.02%	0.03%	0.01%	0.23%	0.28%	0.18%
23	0.02%	0.03%	0.01%	0.24%	0.29%	0.19%
24	0.02%	0.04%	0.01%	0.25%	0.3%	0.2%
25	0.03%	0.04%	0.01%	0.25%	0.31%	0.2%
26	0.03%	0.04%	0.02%	0.26%	0.31%	0.21%
27	0.03%	0.04%	0.02%	0.27%	0.32%	0.22%
28	0.03%	0.04%	0.02%	0.28%	0.33%	0.23%
29	0.03%	0.04%	0.02%	0.29%	0.34%	0.24%
30	0.03%	0.04%	0.02%	0.3%	0.36%	0.25%
31	0.03%	0.05%	0.02%	0.31%	0.37%	0.26%
32	0.04%	0.05%	0.02%	0.33%	0.39%	0.27%
33	0.04%	0.05%	0.03%	0.34%	0.41%	0.28%
34	0.04%	0.06%	0.03%	0.36%	0.42%	0.3%
35	0.05%	0.06%	0.03%	0.38%	0.45%	0.31%
36	0.05%	0.06%	0.04%	0.4%	0.47%	0.33%
37	0.05%	0.07%	0.04%	0.42%	0.5%	0.34%
38	0.06%	0.07%	0.04%	0.44%	0.53%	0.36%
39	0.06%	0.08%	0.05%	0.47%	0.55%	0.38%
40	0.07%	0.08%	0.05%	0.5%	0.59%	0.41%
41	0.08%	0.09%	0.06%	0.52%	0.61%	0.42%
42	0.08%	0.1%	0.06%	0.55%	0.66%	0.45%
43	0.09%	0.11%	0.07%	0.58%	0.69%	0.47%
44	0.1%	0.13%	0.08%	0.61%	0.73%	0.49%
45	0.12%	0.14%	0.09%	0.65%	0.78%	0.52%
46	0.13%	0.17%	0.1%	0.69%	0.83%	0.55%
47	0.15%	0.19%	0.11%	0.73%	0.88%	0.58%
48	0.17%	0.21%	0.13%	0.78%	0.95%	0.63%
49	0.19%	0.24%	0.14%	0.83%	1.02%	0.67%
50	0.21%	0.26%	0.16%	0.91%	1.1%	0.73%
51	0.24%	0.29%	0.18%	0.95%	1.16%	0.76%
52	0.26%	0.32%	0.21%	1.03%	1.26%	0.83%
53	0.29%	0.35%	0.24%	1.1%	1.34%	0.88%
54	0.33%	0.4%	0.26%	1.17%	1.43%	0.95%
55	0.37%	0.45%	0.29%	1.25%	1.52%	1.01%
56	0.42%	0.51%	0.32%	1.33%	1.63%	1.09%
57	0.47%	0.58%	0.36%	1.42%	1.73%	1.16%
58	0.52%	0.65%	0.4%	1.54%	1.88%	1.27%
59	0.58%	0.72%	0.44%	1.66%	2.02%	1.37%
60	0.64%	0.79%	0.5%	1.83%	2.22%	1.53%
61	0.71%	0.87%	0.55%	1.94%	2.36%	1.63%
62	0.78%	0.95%	0.6%	2.14%	2.59%	1.81%
63	0.85%	1.04%	0.66%	2.32%	2.8%	1.98%
64	0.92%	1.13%	0.72%	2.52%	3.04%	2.17%
65	1%	1.22%	0.78%	2.74%	3.29%	2.38%
66	1.08%	1.32%	0.84%	2.95%	3.54%	2.58%
67	1.16%	1.43%	0.91%	3.21%	3.84%	2.83%
68	1.25%	1.54%	0.98%	3.52%	4.17%	3.12%
69	1.35%	1.67%	1.06%	3.83%	4.52%	3.41%
70	1.47%	1.8%	1.15%	4.28%	4.99%	3.85%
71	1.61%	1.96%	1.28%	4.59%	5.34%	4.14%
72	1.77%	2.15%	1.42%	5.12%	5.9%	4.65%
73	1.95%	2.37%	1.57%	5.59%	6.41%	5.09%
74	2.16%	2.61%	1.75%	6.13%	6.99%	5.6%
75	2.39%	2.88%	1.94%	6.72%	7.61%	6.16%
76	2.64%	3.18%	2.17%	7.31%	8.25%	6.72%
77	2.95%	3.52%	2.44%	7.94%	8.92%	7.3%
78	3.32%	3.95%	2.76%	8.73%	9.74%	8.06%
79	3.75%	4.45%	3.14%	9.44%	10.5%	8.73%
80	4.26%	5.05%	3.59%	10.4%	11.5%	9.64%
81	4.85%	5.74%	4.12%	11.1%	12.3%	10.3%
82	5.52%	6.5%	4.72%	12.2%	13.4%	11.4%
83	6.26%	7.36%	5.38%	13.2%	14.5%	12.4%
84	7.08%	8.32%	6.12%	14.4%	15.7%	13.6%
85	7.99%	9.4%	6.94%	15.5%	16.9%	14.7%
86	9.01%	10.6%	7.85%	16.7%	18.1%	15.9%
87	10.2%	12%	8.9%	17.9%	19.4%	17%
88	11.4%	13.6%	10.1%	19.2%	20.7%	18.3%
89	12.8%	15.2%	11.4%	20.5%	22%	19.6%
90	14.4%	17.1%	12.8%	22.1%	23.6%	21.2%
91	16.1%	19.1%	14.5%	23.2%	24.8%	22.3%
92	17.9%	21.2%	16.2%	24.8%	26.5%	24%
93	19.8%	23.4%	18.2%	26.4%	28%	25.5%
94	21.9%	25.7%	20.3%	28%	29.6%	27.1%
95	24%	28.1%	22.4%	29.7%	31.3%	28.9%
96	26.1%	30.5%	24.7%	31.3%	32.8%	30.5%
97	28.4%	33%	27%	32.8%	34.3%	32.1%
98	30.7%	35.5%	29.4%	34.3%	35.7%	33.5%
99	33%	37.9%	31.8%	36.1%	37.5%	35.4%
100	35.2%	40.4%	34.1%	37.6%	38.9%	36.9%

Death rate by age in Denmark compared to Guinea-Bissau

In Denmark, the most common age of death is 88, compared to 0 in Guinea-Bissau. The median age of death is 85 in Denmark and 71.7 in Guinea-Bissau — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Denmark			Guinea-Bissau
	Total	Male	Female	Total	Male	Female
0	273.2	303	241.4	4,736	5,229	4,234
1	31.6	35	28.1	859	901	814
2	11.5	12.9	10	520	549	489
3	6	6.82	5.14	355	376	333
4	4.52	5.09	3.92	250.9	265.4	235.9
5	4.16	4.54	3.77	190	201.4	178.1
6	3.99	4.14	3.84	156.3	167	145.2
7	3.87	3.92	3.82	132.7	142.9	122
8	3.83	4.06	3.58	116	125.7	106
9	3.78	4.32	3.21	105.2	114.4	95.6
10	3.82	4.6	3	99	107.5	90.1
11	3.85	4.65	3	96.1	104	88
12	4.18	4.91	3.41	97.3	105.4	88.9
13	4.93	5.6	4.22	101.8	110.7	92.5
14	6.29	7.07	5.49	109.8	120.5	98.8
15	8.3	9.57	6.96	120.7	133.5	107.4
16	10.6	12.8	8.26	135.3	152.1	117.9
17	13.6	17.2	9.66	149.7	172.1	126.6
18	16.2	21.4	10.7	165	193.1	136.1
19	18.9	25.7	11.8	178.2	211.3	144
20	21.3	29.5	12.7	190.3	227.9	151.5
21	22.3	31.5	12.8	200.8	241.9	158.4
22	22.9	32.7	12.7	209.9	253.2	165.3
23	23.6	34.1	12.8	217.3	261.3	172
24	24.3	35.2	13.1	223.9	267.7	178.9
25	25.4	36.5	13.9	229.8	272.8	185.5
26	26.6	37.6	15.1	235.8	278.2	192.3
27	27.5	38.2	16.4	242.4	284.3	199.3
28	28.9	39.6	17.8	250.3	292.1	207.3
29	30.3	40.9	19.1	257.8	301	214
30	32	42.9	20.7	269.2	313	224.4
31	33.7	44.7	22.3	276.2	321	230
32	35.9	47.5	23.9	290.6	338	242.4
33	38.6	50.9	25.8	303	352	252.9
34	41.8	54.9	28.2	317	367	264.6
35	45.1	58.4	31.2	333	387	277.5
36	48.9	62.2	35.1	348	405	291
37	52.7	65.6	39.2	364	424	304
38	57	69.9	43.5	385	447	322
39	62.1	76	47.7	403	467	336
40	67.9	83.4	51.8	428	496	357
41	74.2	91.4	56.5	442	514	368
42	80.8	99.6	61.6	471	547	392
43	89.5	110.5	68.2	490	571	407
44	100.3	124.7	75.7	514	601	425
45	113.4	142.1	84.5	544	638	448
46	129.2	162.6	95.5	568	668	469
47	146.8	184.7	108.6	599	707	493
48	165.6	207.4	123.3	638	753	527
49	185.9	231.3	140.3	676	799	559
50	207.1	255.2	159	728	857	606
51	230.3	280.4	180	759	894	631
52	256.1	308	203.9	816	956	683
53	285.9	341	229.8	857	1,004	719
54	321	384	257	906	1,058	764
55	359	433	283.7	952	1,109	806
56	403	490	313	1,005	1,168	857
57	448	548	346	1,057	1,226	906
58	498	608	384	1,128	1,302	977
59	551	671	427	1,196	1,377	1,044
60	606	735	473	1,297	1,480	1,150
61	664	802	522	1,353	1,543	1,206
62	723	871	572	1,461	1,652	1,321
63	782	941	621	1,550	1,741	1,415
64	843	1,011	671	1,644	1,832	1,518
65	904	1,080	724	1,746	1,928	1,632
66	966	1,154	776	1,828	2,001	1,725
67	1,031	1,231	828	1,933	2,094	1,843
68	1,097	1,310	882	2,050	2,191	1,978
69	1,172	1,395	945	2,151	2,274	2,094
70	1,253	1,482	1,022	2,312	2,395	2,285
71	1,350	1,584	1,116	2,374	2,439	2,358
72	1,463	1,703	1,223	2,526	2,551	2,538
73	1,587	1,835	1,338	2,616	2,607	2,649
74	1,722	1,978	1,465	2,707	2,658	2,768
75	1,860	2,124	1,600	2,786	2,692	2,875
76	2,012	2,273	1,752	2,828	2,696	2,941
77	2,184	2,441	1,926	2,846	2,676	2,984
78	2,387	2,640	2,129	2,880	2,661	3,053
79	2,609	2,858	2,352	2,843	2,591	3,039
80	2,854	3,100	2,606	2,829	2,532	3,064
81	3,111	3,346	2,885	2,705	2,394	2,950
82	3,363	3,573	3,165	2,655	2,302	2,939
83	3,606	3,780	3,441	2,528	2,153	2,834
84	3,821	3,958	3,701	2,390	1,998	2,716
85	4,009	4,100	3,940	2,201	1,804	2,538
86	4,160	4,196	4,148	2,005	1,612	2,341
87	4,274	4,249	4,333	1,786	1,410	2,113
88	4,321	4,214	4,465	1,572	1,216	1,886
89	4,291	4,087	4,531	1,352	1,024	1,643
90	4,192	3,887	4,538	1,160	855	1,434
91	4,009	3,601	4,458	948	687	1,184
92	3,739	3,236	4,278	781	551	991
93	3,408	2,823	4,017	623	429	802
94	3,013	2,372	3,661	487	327	636
95	2,579	1,921	3,231	373	243.2	494
96	2,139	1,501	2,756	275.8	175.3	371
97	1,715	1,128	2,271	198.6	123	270.6
98	1,328	813	1,806	139.3	84.1	192.3
99	989	561	1,382	96.5	56.7	135
100	553	162.6	895	10	0	23.8

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 Denmark and Guinea-Bissau 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
• Denmark vs Guinea-Bissau: Complete comparison

By topic vs comparisons:

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