Life Expectancy in Germany vs Guinea-Bissau (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 Germany vs Guinea-Bissau: 82.4 years vs 71.4 at 30, 85.2 vs 78.7 at 65, 89.2 vs 86.1 at 80 — significantly higher than the 81.9 vs 64.6 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	Germany			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
0	81.9	79.6	84.1	64.6	62.1	66.9
1	82.1	79.8	84.3	67.7	65.5	69.8
2	82.1	79.9	84.3	68.3	66.1	70.4
3	82.1	79.9	84.3	68.7	66.5	70.7
4	82.1	79.9	84.4	68.9	66.7	70.9
5	82.1	79.9	84.4	69.1	66.9	71.1
6	82.1	79.9	84.4	69.2	67	71.2
7	82.1	79.9	84.4	69.3	67.1	71.3
8	82.1	79.9	84.4	69.4	67.2	71.4
9	82.1	79.9	84.4	69.5	67.3	71.5
10	82.1	79.9	84.4	69.6	67.4	71.5
11	82.2	79.9	84.4	69.6	67.4	71.6
12	82.2	79.9	84.4	69.7	67.5	71.7
13	82.2	79.9	84.4	69.7	67.6	71.7
14	82.2	79.9	84.4	69.8	67.6	71.8
15	82.2	79.9	84.4	69.9	67.7	71.8
16	82.2	80	84.4	69.9	67.8	71.9
17	82.2	80	84.4	70	67.9	72
18	82.2	80	84.4	70.1	68	72
19	82.2	80	84.4	70.2	68.1	72.1
20	82.2	80	84.4	70.3	68.2	72.2
21	82.2	80	84.5	70.4	68.3	72.3
22	82.3	80.1	84.5	70.5	68.4	72.4
23	82.3	80.1	84.5	70.6	68.5	72.4
24	82.3	80.1	84.5	70.7	68.7	72.5
25	82.3	80.1	84.5	70.8	68.8	72.6
26	82.3	80.1	84.5	70.9	68.9	72.7
27	82.3	80.2	84.5	71.1	69.1	72.8
28	82.4	80.2	84.5	71.2	69.2	72.9
29	82.4	80.2	84.5	71.3	69.3	73
30	82.4	80.2	84.5	71.4	69.5	73.1
31	82.4	80.3	84.6	71.5	69.6	73.2
32	82.4	80.3	84.6	71.7	69.7	73.3
33	82.5	80.3	84.6	71.8	69.9	73.4
34	82.5	80.3	84.6	71.9	70	73.5
35	82.5	80.4	84.6	72	70.2	73.7
36	82.5	80.4	84.6	72.2	70.3	73.8
37	82.6	80.4	84.7	72.3	70.5	73.9
38	82.6	80.5	84.7	72.5	70.7	74
39	82.6	80.5	84.7	72.6	70.8	74.2
40	82.7	80.6	84.7	72.8	71	74.3
41	82.7	80.6	84.8	72.9	71.2	74.4
42	82.7	80.6	84.8	73.1	71.4	74.6
43	82.8	80.7	84.8	73.3	71.5	74.7
44	82.8	80.7	84.9	73.4	71.7	74.8
45	82.9	80.8	84.9	73.6	71.9	75
46	82.9	80.9	84.9	73.8	72.1	75.1
47	83	80.9	85	74	72.4	75.3
48	83	81	85	74.2	72.6	75.5
49	83.1	81.1	85.1	74.4	72.8	75.6
50	83.2	81.2	85.1	74.6	73	75.8
51	83.2	81.3	85.2	74.8	73.3	76
52	83.3	81.4	85.3	75	73.5	76.2
53	83.4	81.5	85.3	75.2	73.8	76.4
54	83.5	81.6	85.4	75.5	74.1	76.6
55	83.6	81.7	85.5	75.7	74.4	76.8
56	83.7	81.9	85.6	76	74.7	77
57	83.9	82	85.7	76.3	75	77.2
58	84	82.2	85.8	76.5	75.3	77.5
59	84.1	82.3	85.9	76.8	75.6	77.7
60	84.3	82.5	86	77.1	75.9	78
61	84.5	82.7	86.1	77.4	76.3	78.2
62	84.6	82.9	86.2	77.7	76.6	78.5
63	84.8	83.2	86.4	78	77	78.8
64	85	83.4	86.5	78.4	77.4	79.1
65	85.2	83.7	86.7	78.7	77.8	79.4
66	85.4	83.9	86.8	79.1	78.2	79.8
67	85.6	84.2	87	79.5	78.6	80.1
68	85.9	84.4	87.2	79.9	79.1	80.5
69	86.1	84.7	87.3	80.3	79.5	80.9
70	86.3	85	87.5	80.7	80	81.3
71	86.6	85.3	87.7	81.2	80.5	81.7
72	86.9	85.6	87.9	81.7	81	82.1
73	87.1	85.9	88.1	82.2	81.5	82.6
74	87.4	86.3	88.3	82.7	82.1	83.1
75	87.7	86.6	88.6	83.2	82.6	83.6
76	88	86.9	88.8	83.7	83.2	84.1
77	88.2	87.3	89	84.3	83.8	84.7
78	88.6	87.6	89.3	84.9	84.4	85.2
79	88.9	88	89.6	85.5	85.1	85.8
80	89.2	88.4	89.8	86.1	85.7	86.4
81	89.6	88.8	90.2	86.8	86.4	87
82	90	89.3	90.5	87.4	87.1	87.7
83	90.4	89.8	90.9	88.1	87.8	88.3
84	90.9	90.3	91.3	88.8	88.5	89
85	91.3	90.8	91.7	89.5	89.3	89.7
86	91.9	91.3	92.2	90.3	90	90.4
87	92.4	91.9	92.7	91	90.8	91.2
88	93	92.5	93.2	91.8	91.6	92
89	93.6	93.2	93.8	92.6	92.4	92.7
90	94.2	93.9	94.4	93.4	93.2	93.5
91	94.9	94.5	95	94.2	94	94.3
92	95.6	95.3	95.7	95	94.9	95.1
93	96.3	96	96.4	95.9	95.7	95.9
94	97	96.8	97.1	96.7	96.6	96.8
95	97.8	97.6	97.9	97.6	97.4	97.6
96	98.6	98.4	98.6	98.4	98.3	98.5
97	99.4	99.2	99.4	99.3	99.2	99.4
98	100.2	100.1	100.2	100.2	100.1	100.3
99	101	100.9	101.1	101.1	101	101.2
100	101.9	101.8	101.9	102	101.9	102.1

Odds of living to age in Germany vs Guinea-Bissau

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 93.4% in Germany and 71.3% in Guinea-Bissau are expected to survive till at least 60 years old, 84.3% and 54.3% will live to 70 years or older, 66.5% and 27.5% to 80+ years, and 28.7% and 5.32% 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
	Germany			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.8%	95.3%	94.8%	95.9%
2	99.7%	99.7%	99.7%	94.5%	94%	95.1%
3	99.7%	99.7%	99.7%	94%	93.4%	94.6%
4	99.7%	99.7%	99.7%	93.6%	93%	94.2%
5	99.7%	99.7%	99.7%	93.4%	92.8%	94%
6	99.7%	99.7%	99.7%	93.2%	92.6%	93.8%
7	99.7%	99.6%	99.7%	93.1%	92.4%	93.7%
8	99.7%	99.6%	99.7%	92.9%	92.3%	93.6%
9	99.7%	99.6%	99.7%	92.8%	92.2%	93.5%
10	99.7%	99.6%	99.7%	92.7%	92%	93.4%
11	99.6%	99.6%	99.7%	92.6%	91.9%	93.3%
12	99.6%	99.6%	99.7%	92.5%	91.8%	93.2%
13	99.6%	99.6%	99.7%	92.4%	91.7%	93.1%
14	99.6%	99.6%	99.7%	92.3%	91.6%	93%
15	99.6%	99.6%	99.6%	92.2%	91.5%	92.9%
16	99.6%	99.6%	99.6%	92.1%	91.4%	92.8%
17	99.6%	99.6%	99.6%	92%	91.2%	92.7%
18	99.6%	99.5%	99.6%	91.8%	91%	92.6%
19	99.5%	99.5%	99.6%	91.6%	90.9%	92.5%
20	99.5%	99.5%	99.6%	91.5%	90.6%	92.3%
21	99.5%	99.4%	99.6%	91.3%	90.4%	92.2%
22	99.5%	99.4%	99.5%	91.1%	90.2%	92%
23	99.4%	99.4%	99.5%	90.9%	89.9%	91.8%
24	99.4%	99.3%	99.5%	90.7%	89.7%	91.7%
25	99.4%	99.3%	99.5%	90.4%	89.4%	91.5%
26	99.4%	99.2%	99.5%	90.2%	89.1%	91.3%
27	99.3%	99.2%	99.5%	90%	88.9%	91.1%
28	99.3%	99.2%	99.5%	89.7%	88.6%	90.9%
29	99.3%	99.1%	99.4%	89.5%	88.3%	90.7%
30	99.2%	99.1%	99.4%	89.2%	88%	90.5%
31	99.2%	99%	99.4%	89%	87.7%	90.3%
32	99.2%	99%	99.4%	88.7%	87.4%	90.1%
33	99.1%	98.9%	99.3%	88.4%	87%	89.8%
34	99.1%	98.9%	99.3%	88.1%	86.7%	89.6%
35	99%	98.8%	99.3%	87.8%	86.3%	89.3%
36	99%	98.7%	99.2%	87.5%	85.9%	89%
37	98.9%	98.6%	99.2%	87.1%	85.5%	88.8%
38	98.8%	98.6%	99.1%	86.8%	85.1%	88.5%
39	98.8%	98.5%	99.1%	86.4%	84.7%	88.1%
40	98.7%	98.4%	99%	86%	84.2%	87.8%
41	98.6%	98.3%	99%	85.6%	83.7%	87.5%
42	98.5%	98.1%	98.9%	85.1%	83.2%	87.1%
43	98.4%	98%	98.8%	84.7%	82.7%	86.7%
44	98.3%	97.9%	98.8%	84.2%	82.1%	86.3%
45	98.2%	97.7%	98.7%	83.7%	81.5%	85.9%
46	98%	97.6%	98.6%	83.1%	80.9%	85.4%
47	97.9%	97.4%	98.5%	82.6%	80.2%	85%
48	97.7%	97.2%	98.3%	82%	79.5%	84.5%
49	97.5%	96.9%	98.2%	81.3%	78.8%	84%
50	97.3%	96.7%	98%	80.7%	78%	83.4%
51	97.1%	96.4%	97.9%	79.9%	77.1%	82.8%
52	96.9%	96.1%	97.7%	79.2%	76.2%	82.2%
53	96.6%	95.7%	97.5%	78.4%	75.3%	81.5%
54	96.3%	95.3%	97.2%	77.5%	74.3%	80.8%
55	95.9%	94.8%	97%	76.6%	73.2%	80%
56	95.5%	94.3%	96.7%	75.7%	72.1%	79.2%
57	95.1%	93.8%	96.4%	74.7%	70.9%	78.4%
58	94.6%	93.1%	96%	73.6%	69.7%	77.5%
59	94%	92.5%	95.7%	72.5%	68.4%	76.5%
60	93.4%	91.7%	95.2%	71.3%	67.1%	75.4%
61	92.8%	90.9%	94.8%	70%	65.6%	74.3%
62	92.1%	90%	94.3%	68.6%	64%	73.1%
63	91.3%	89%	93.8%	67.2%	62.4%	71.8%
64	90.5%	88%	93.2%	65.6%	60.6%	70.4%
65	89.6%	86.8%	92.6%	64%	58.8%	68.8%
66	88.7%	85.6%	91.9%	62.2%	56.9%	67.2%
67	87.7%	84.3%	91.2%	60.4%	54.9%	65.5%
68	86.6%	83%	90.4%	58.5%	52.8%	63.6%
69	85.5%	81.6%	89.5%	56.4%	50.6%	61.7%
70	84.3%	80%	88.6%	54.3%	48.3%	59.6%
71	83%	78.4%	87.6%	51.9%	45.9%	57.3%
72	81.6%	76.7%	86.5%	49.6%	43.5%	54.9%
73	80.1%	74.9%	85.4%	47%	40.9%	52.4%
74	78.5%	73%	84.1%	44.4%	38.3%	49.7%
75	76.9%	71%	82.8%	41.7%	35.6%	46.9%
76	75.1%	68.9%	81.4%	38.9%	32.9%	44.1%
77	73.2%	66.7%	79.8%	36.1%	30.2%	41.1%
78	71.2%	64.3%	78.1%	33.2%	27.5%	38.1%
79	68.9%	61.7%	76.2%	30.4%	24.9%	35.1%
80	66.5%	58.9%	74%	27.5%	22.3%	32%
81	63.8%	56%	71.6%	24.7%	19.7%	28.9%
82	60.8%	52.8%	68.9%	21.9%	17.3%	26%
83	57.6%	49.3%	65.8%	19.3%	15%	23%
84	54%	45.7%	62.4%	16.7%	12.8%	20.2%
85	50.3%	41.9%	58.6%	14.3%	10.8%	17.4%
86	46.2%	37.9%	54.5%	12.1%	8.99%	14.9%
87	42%	33.8%	50.1%	10.1%	7.36%	12.5%
88	37.6%	29.7%	45.4%	8.27%	5.94%	10.4%
89	33.1%	25.6%	40.5%	6.68%	4.71%	8.48%
90	28.7%	21.7%	35.6%	5.32%	3.67%	6.82%
91	24.3%	18%	30.6%	4.14%	2.81%	5.38%
92	20.2%	14.5%	25.7%	3.19%	2.11%	4.18%
93	16.4%	11.4%	21.1%	2.4%	1.55%	3.18%
94	12.9%	8.74%	16.9%	1.76%	1.12%	2.37%
95	9.89%	6.48%	13.1%	1.27%	0.79%	1.73%
96	7.35%	4.66%	9.89%	0.89%	0.54%	1.23%
97	5.28%	3.24%	7.19%	0.61%	0.36%	0.85%
98	3.66%	2.17%	5.04%	0.41%	0.24%	0.58%
99	2.44%	1.4%	3.4%	0.27%	0.15%	0.39%
100	1.57%	0.87%	2.2%	0.17%	0.1%	0.25%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.26% in the birth year in Germany and 4.65% in Guinea-Bissau, 0.04% vs 0.3% at age 30, 0.69% vs 1.82% at 60, and 4.06% vs 10.3% at 80.

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

Table

Age	Probability of dying
	Germany			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
0	0.26%	0.28%	0.24%	4.65%	5.15%	4.15%
1	0.03%	0.03%	0.02%	0.88%	0.94%	0.83%
2	0.01%	0.01%	0.009%	0.54%	0.58%	0.5%
3	0.009%	0.009%	0.008%	0.37%	0.4%	0.35%
4	0.008%	0.009%	0.008%	0.26%	0.28%	0.25%
5	0.008%	0.008%	0.007%	0.2%	0.21%	0.19%
6	0.007%	0.008%	0.006%	0.17%	0.18%	0.15%
7	0.006%	0.007%	0.005%	0.14%	0.15%	0.13%
8	0.006%	0.007%	0.005%	0.12%	0.13%	0.11%
9	0.006%	0.006%	0.005%	0.11%	0.12%	0.1%
10	0.006%	0.006%	0.005%	0.11%	0.12%	0.09%
11	0.006%	0.006%	0.006%	0.1%	0.11%	0.09%
12	0.007%	0.007%	0.007%	0.1%	0.11%	0.09%
13	0.008%	0.008%	0.008%	0.11%	0.12%	0.1%
14	0.009%	0.01%	0.009%	0.12%	0.13%	0.1%
15	0.01%	0.01%	0.01%	0.13%	0.14%	0.11%
16	0.02%	0.02%	0.01%	0.14%	0.16%	0.12%
17	0.02%	0.03%	0.01%	0.16%	0.19%	0.13%
18	0.02%	0.03%	0.01%	0.18%	0.21%	0.14%
19	0.03%	0.03%	0.02%	0.19%	0.23%	0.15%
20	0.03%	0.04%	0.02%	0.21%	0.25%	0.16%
21	0.03%	0.04%	0.01%	0.22%	0.26%	0.17%
22	0.03%	0.04%	0.01%	0.23%	0.28%	0.18%
23	0.03%	0.04%	0.02%	0.24%	0.29%	0.18%
24	0.03%	0.04%	0.02%	0.24%	0.3%	0.19%
25	0.03%	0.04%	0.02%	0.25%	0.3%	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%	0.22%
29	0.04%	0.05%	0.02%	0.28%	0.34%	0.23%
30	0.04%	0.05%	0.03%	0.3%	0.35%	0.24%
31	0.04%	0.05%	0.03%	0.31%	0.36%	0.25%
32	0.05%	0.06%	0.03%	0.32%	0.38%	0.27%
33	0.05%	0.06%	0.03%	0.34%	0.4%	0.28%
34	0.05%	0.07%	0.04%	0.36%	0.42%	0.29%
35	0.06%	0.07%	0.04%	0.37%	0.44%	0.31%
36	0.06%	0.08%	0.04%	0.39%	0.47%	0.32%
37	0.07%	0.08%	0.05%	0.41%	0.49%	0.34%
38	0.07%	0.09%	0.05%	0.44%	0.52%	0.36%
39	0.08%	0.1%	0.06%	0.46%	0.55%	0.38%
40	0.09%	0.11%	0.06%	0.49%	0.58%	0.4%
41	0.09%	0.12%	0.07%	0.51%	0.61%	0.42%
42	0.1%	0.13%	0.07%	0.55%	0.65%	0.45%
43	0.11%	0.14%	0.08%	0.57%	0.69%	0.46%
44	0.12%	0.16%	0.09%	0.61%	0.73%	0.49%
45	0.14%	0.17%	0.1%	0.65%	0.78%	0.52%
46	0.15%	0.19%	0.11%	0.68%	0.82%	0.54%
47	0.17%	0.21%	0.12%	0.72%	0.88%	0.58%
48	0.19%	0.24%	0.14%	0.77%	0.94%	0.62%
49	0.21%	0.27%	0.16%	0.83%	1.01%	0.66%
50	0.24%	0.3%	0.17%	0.9%	1.09%	0.72%
51	0.26%	0.33%	0.19%	0.94%	1.15%	0.76%
52	0.29%	0.38%	0.21%	1.03%	1.25%	0.83%
53	0.33%	0.43%	0.24%	1.09%	1.33%	0.88%
54	0.37%	0.48%	0.26%	1.16%	1.42%	0.94%
55	0.42%	0.54%	0.29%	1.24%	1.51%	1%
56	0.46%	0.6%	0.33%	1.32%	1.61%	1.08%
57	0.51%	0.66%	0.36%	1.41%	1.72%	1.15%
58	0.57%	0.74%	0.39%	1.53%	1.86%	1.26%
59	0.62%	0.81%	0.44%	1.65%	2.01%	1.36%
60	0.69%	0.89%	0.48%	1.82%	2.2%	1.52%
61	0.75%	0.98%	0.52%	1.94%	2.35%	1.62%
62	0.82%	1.08%	0.57%	2.13%	2.58%	1.8%
63	0.9%	1.19%	0.62%	2.31%	2.79%	1.97%
64	0.98%	1.29%	0.67%	2.51%	3.02%	2.16%
65	1.05%	1.39%	0.73%	2.73%	3.28%	2.37%
66	1.14%	1.49%	0.79%	2.94%	3.52%	2.57%
67	1.23%	1.61%	0.86%	3.2%	3.82%	2.82%
68	1.32%	1.73%	0.94%	3.51%	4.15%	3.11%
69	1.42%	1.86%	1.02%	3.82%	4.5%	3.4%
70	1.54%	2.01%	1.12%	4.26%	4.97%	3.84%
71	1.67%	2.17%	1.23%	4.57%	5.32%	4.12%
72	1.8%	2.34%	1.34%	5.1%	5.88%	4.63%
73	1.95%	2.53%	1.45%	5.56%	6.39%	5.07%
74	2.12%	2.74%	1.59%	6.1%	6.96%	5.58%
75	2.31%	2.99%	1.74%	6.69%	7.58%	6.14%
76	2.53%	3.26%	1.92%	7.28%	8.22%	6.7%
77	2.8%	3.59%	2.14%	7.9%	8.89%	7.28%
78	3.13%	3.98%	2.44%	8.69%	9.71%	8.04%
79	3.56%	4.47%	2.82%	9.4%	10.5%	8.71%
80	4.06%	5.05%	3.29%	10.3%	11.4%	9.62%
81	4.65%	5.72%	3.83%	11%	12.2%	10.3%
82	5.32%	6.49%	4.45%	12.2%	13.4%	11.4%
83	6.11%	7.38%	5.17%	13.2%	14.5%	12.4%
84	7.01%	8.39%	6.01%	14.4%	15.7%	13.6%
85	8.04%	9.54%	6.99%	15.5%	16.8%	14.7%
86	9.19%	10.8%	8.11%	16.7%	18.1%	15.9%
87	10.5%	12.2%	9.36%	17.9%	19.3%	17%
88	11.9%	13.7%	10.7%	19.2%	20.7%	18.3%
89	13.4%	15.4%	12.3%	20.4%	22%	19.5%
90	15.1%	17.1%	14%	22.1%	23.6%	21.2%
91	17%	19.1%	15.9%	23.1%	24.8%	22.2%
92	19%	21.3%	17.9%	24.8%	26.4%	23.9%
93	21.1%	23.6%	20%	26.3%	28%	25.5%
94	23.3%	25.9%	22.2%	28%	29.6%	27.1%
95	25.7%	28.2%	24.7%	29.7%	31.3%	28.9%
96	28.2%	30.5%	27.3%	31.3%	32.8%	30.5%
97	30.7%	32.9%	30%	32.8%	34.3%	32%
98	33.3%	35.4%	32.6%	34.2%	35.7%	33.5%
99	35.8%	37.9%	35.2%	36.1%	37.5%	35.4%
100	38.4%	40.3%	37.9%	37.5%	38.9%	36.9%

Death rate by age in Germany compared to Guinea-Bissau

In Germany, the most common age of death is 88, compared to 0 in Guinea-Bissau. The median age of death is 85.1 in Germany and 71.8 in Guinea-Bissau — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Germany			Guinea-Bissau
	Total	Male	Female	Total	Male	Female
0	263.3	281	244.7	4,655	5,152	4,147
1	27.4	29.9	24.7	843	888	797
2	10.1	11	9.22	511	542	480
3	8.73	9.26	8.17	349	371	327
4	8.4	8.73	8.05	247.5	262.6	231.7
5	7.69	8.09	7.28	187.5	199.5	175
6	6.74	7.49	5.95	154.2	165.3	142.6
7	5.96	6.94	4.91	130.9	141.4	119.9
8	5.54	6.48	4.56	114.4	124.3	104.1
9	5.49	6.23	4.71	103.7	113.1	93.9
10	5.74	6.23	5.22	97.5	106.1	88.5
11	6.08	6.17	5.99	94.7	102.7	86.4
12	6.7	6.53	6.87	95.9	104.1	87.3
13	7.7	7.78	7.61	100.2	109.3	90.8
14	9.35	10.1	8.53	108.2	118.9	97
15	12	13.8	10.2	118.9	131.9	105.5
16	15.5	18.8	12.1	133.3	150.2	115.7
17	19.5	25.1	13.6	147.6	170	124.3
18	22.9	30.7	14.5	162.7	190.8	133.7
19	25.3	34.6	15.4	175.7	208.8	141.4
20	26.1	36	15.5	187.7	225.3	148.9
21	25.6	36	14.7	198.1	239.1	155.7
22	25.7	36.2	14.6	207.1	250.3	162.5
23	26.2	36.7	15	214.4	258.3	169.1
24	26.9	37.6	15.2	220.9	264.6	175.9
25	27.6	38.6	15.7	226.7	269.7	182.4
26	28.6	39.3	16.8	232.7	275	189.2
27	30	40.3	18.5	239.2	281.1	196.1
28	32.1	42.4	20.8	247.1	288.9	204.1
29	34.9	45.3	23.4	254.6	297.3	210.8
30	38.5	49.5	26.4	265.8	309	221
31	42	54	28.8	272.8	318	226.6
32	44.7	58.3	30	287.1	334	238.9
33	47.6	61.9	32.2	299.4	348	249.4
34	51	65.8	35.2	313	364	260.9
35	55	71.1	37.8	329	383	273.7
36	59.4	77	40.6	345	401	287.1
37	64.7	83.1	44.9	360	420	300
38	70.3	89.5	49.8	381	442	318
39	76.9	97.9	54.6	399	463	332
40	84.2	107.7	59.5	423	492	353
41	91.5	117.1	64.6	438	509	364
42	99.4	126.7	71	467	543	389
43	108.4	137.1	78.7	486	566	403
44	120.3	152.3	87.5	510	597	422
45	134.2	170.5	97.3	540	633	445
46	149.1	188.7	108.9	565	663	465
47	165.7	208.4	122.3	596	702	489
48	185.3	232.3	137.5	635	748	523
49	207	259.3	153.8	673	794	555
50	229.5	287.6	170.4	724	853	602
51	254.5	320	188	755	890	627
52	284.9	360	208.4	812	952	680
53	320	407	231.5	854	1,000	715
54	358	456	256.9	903	1,054	760
55	398	508	285.7	949	1,106	803
56	441	563	316	1,002	1,164	854
57	487	623	346	1,055	1,223	903
58	535	687	378	1,127	1,299	974
59	587	753	416	1,195	1,374	1,041
60	642	821	457	1,297	1,477	1,147
61	699	895	495	1,354	1,541	1,204
62	757	972	534	1,463	1,651	1,319
63	821	1,055	579	1,551	1,740	1,414
64	884	1,135	627	1,645	1,832	1,517
65	943	1,205	676	1,748	1,928	1,631
66	1,007	1,280	730	1,830	2,002	1,725
67	1,075	1,357	788	1,934	2,096	1,843
68	1,142	1,432	848	2,051	2,193	1,979
69	1,217	1,514	916	2,152	2,277	2,096
70	1,300	1,607	995	2,313	2,399	2,287
71	1,389	1,705	1,078	2,375	2,444	2,361
72	1,471	1,797	1,157	2,527	2,557	2,542
73	1,560	1,893	1,240	2,618	2,614	2,655
74	1,662	2,004	1,335	2,710	2,666	2,774
75	1,777	2,125	1,442	2,789	2,702	2,883
76	1,900	2,250	1,561	2,832	2,707	2,950
77	2,048	2,391	1,710	2,852	2,688	2,994
78	2,230	2,560	1,904	2,888	2,674	3,064
79	2,452	2,760	2,150	2,853	2,605	3,052
80	2,702	2,979	2,436	2,842	2,546	3,078
81	2,964	3,202	2,740	2,719	2,409	2,966
82	3,238	3,424	3,062	2,671	2,318	2,955
83	3,517	3,640	3,402	2,545	2,169	2,850
84	3,788	3,836	3,753	2,407	2,014	2,732
85	4,039	3,995	4,101	2,219	1,819	2,554
86	4,248	4,095	4,424	2,022	1,627	2,357
87	4,390	4,114	4,689	1,803	1,424	2,129
88	4,458	4,061	4,878	1,587	1,228	1,900
89	4,447	3,930	4,984	1,366	1,035	1,657
90	4,341	3,710	4,988	1,173	865	1,447
91	4,141	3,427	4,868	959	695	1,195
92	3,843	3,091	4,602	791	558	1,001
93	3,456	2,699	4,218	631	435	810
94	3,012	2,264	3,756	493	331	643
95	2,537	1,824	3,236	377	246.6	499
96	2,070	1,421	2,698	279.6	177.9	375
97	1,623	1,066	2,155	201.5	124.9	273.7
98	1,217	768	1,642	141.4	85.4	194.6
99	874	530	1,197	98	57.6	136.6
100	411	149.7	645	10.5	0	24.3

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 Germany 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
• Germany vs Guinea-Bissau: Quantitative Profiles

By topic vs comparisons:

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