Life Expectancy in Germany vs Guinea (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: 82.4 years vs 71.1 at 30, 85.2 vs 78.7 at 65, 89.2 vs 85.9 at 80 — significantly higher than the 81.9 vs 61.2 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.

Table

Current age, years	Total life expectancy, years
	Germany			Guinea
	Average	Male	Female	Average	Male	Female
0	81.9	79.6	84.1	61.2	59.9	62.4
1	82.1	79.8	84.3	65.3	64.4	66.2
2	82.1	79.9	84.3	65.9	65	66.8
3	82.1	79.9	84.3	66.4	65.5	67.2
4	82.1	79.9	84.4	66.8	65.9	67.6
5	82.1	79.9	84.4	67.2	66.3	68
6	82.1	79.9	84.4	67.5	66.5	68.3
7	82.1	79.9	84.4	67.7	66.8	68.5
8	82.1	79.9	84.4	67.9	67	68.7
9	82.1	79.9	84.4	68	67.1	68.9
10	82.1	79.9	84.4	68.2	67.2	69
11	82.2	79.9	84.4	68.3	67.4	69.1
12	82.2	79.9	84.4	68.4	67.5	69.3
13	82.2	79.9	84.4	68.5	67.6	69.4
14	82.2	79.9	84.4	68.6	67.7	69.5
15	82.2	79.9	84.4	68.7	67.8	69.6
16	82.2	80	84.4	68.8	67.9	69.7
17	82.2	80	84.4	69	68	69.8
18	82.2	80	84.4	69.1	68.1	70
19	82.2	80	84.4	69.2	68.3	70.1
20	82.2	80	84.4	69.4	68.5	70.2
21	82.2	80	84.5	69.6	68.7	70.4
22	82.3	80.1	84.5	69.7	68.8	70.5
23	82.3	80.1	84.5	69.9	69	70.7
24	82.3	80.1	84.5	70.1	69.2	70.8
25	82.3	80.1	84.5	70.2	69.4	71
26	82.3	80.1	84.5	70.4	69.6	71.1
27	82.3	80.2	84.5	70.6	69.8	71.3
28	82.4	80.2	84.5	70.8	70	71.4
29	82.4	80.2	84.5	70.9	70.1	71.6
30	82.4	80.2	84.5	71.1	70.3	71.8
31	82.4	80.3	84.6	71.3	70.5	71.9
32	82.4	80.3	84.6	71.4	70.7	72.1
33	82.5	80.3	84.6	71.6	70.8	72.2
34	82.5	80.3	84.6	71.8	71	72.4
35	82.5	80.4	84.6	71.9	71.2	72.6
36	82.5	80.4	84.6	72.1	71.4	72.7
37	82.6	80.4	84.7	72.3	71.5	72.9
38	82.6	80.5	84.7	72.4	71.7	73.1
39	82.6	80.5	84.7	72.6	71.9	73.2
40	82.7	80.6	84.7	72.8	72.1	73.4
41	82.7	80.6	84.8	73	72.2	73.6
42	82.7	80.6	84.8	73.2	72.4	73.8
43	82.8	80.7	84.8	73.3	72.6	73.9
44	82.8	80.7	84.9	73.5	72.8	74.1
45	82.9	80.8	84.9	73.7	73	74.3
46	82.9	80.9	84.9	73.9	73.2	74.5
47	83	80.9	85	74.1	73.4	74.7
48	83	81	85	74.3	73.6	74.8
49	83.1	81.1	85.1	74.5	73.8	75
50	83.2	81.2	85.1	74.7	74	75.2
51	83.2	81.3	85.2	74.9	74.2	75.4
52	83.3	81.4	85.3	75.1	74.5	75.6
53	83.4	81.5	85.3	75.3	74.7	75.8
54	83.5	81.6	85.4	75.6	75	76.1
55	83.6	81.7	85.5	75.8	75.2	76.3
56	83.7	81.9	85.6	76.1	75.5	76.5
57	83.9	82	85.7	76.3	75.8	76.7
58	84	82.2	85.8	76.6	76	77
59	84.1	82.3	85.9	76.8	76.3	77.2
60	84.3	82.5	86	77.1	76.6	77.5
61	84.5	82.7	86.1	77.4	76.9	77.7
62	84.6	82.9	86.2	77.7	77.2	78
63	84.8	83.2	86.4	78	77.6	78.3
64	85	83.4	86.5	78.3	77.9	78.6
65	85.2	83.7	86.7	78.7	78.3	79
66	85.4	83.9	86.8	79	78.7	79.3
67	85.6	84.2	87	79.4	79.1	79.7
68	85.9	84.4	87.2	79.8	79.5	80
69	86.1	84.7	87.3	80.2	79.9	80.4
70	86.3	85	87.5	80.6	80.3	80.9
71	86.6	85.3	87.7	81.1	80.8	81.3
72	86.9	85.6	87.9	81.5	81.2	81.7
73	87.1	85.9	88.1	82	81.7	82.2
74	87.4	86.3	88.3	82.5	82.2	82.7
75	87.7	86.6	88.6	83	82.8	83.2
76	88	86.9	88.8	83.6	83.3	83.7
77	88.2	87.3	89	84.1	83.9	84.3
78	88.6	87.6	89.3	84.7	84.5	84.8
79	88.9	88	89.6	85.3	85.1	85.4
80	89.2	88.4	89.8	85.9	85.7	86
81	89.6	88.8	90.2	86.5	86.3	86.7
82	90	89.3	90.5	87.2	87	87.3
83	90.4	89.8	90.9	87.9	87.7	88
84	90.9	90.3	91.3	88.6	88.3	88.7
85	91.3	90.8	91.7	89.3	89.1	89.4
86	91.9	91.3	92.2	90	89.8	90.2
87	92.4	91.9	92.7	90.7	90.5	90.9
88	93	92.5	93.2	91.5	91.3	91.7
89	93.6	93.2	93.8	92.3	92	92.4
90	94.2	93.9	94.4	93.1	92.8	93.2
91	94.9	94.5	95	93.9	93.6	94
92	95.6	95.3	95.7	94.7	94.5	94.8
93	96.3	96	96.4	95.5	95.3	95.6
94	97	96.8	97.1	96.4	96.2	96.5
95	97.8	97.6	97.9	97.2	97.1	97.3
96	98.6	98.4	98.6	98.1	98	98.2
97	99.4	99.2	99.4	99	98.9	99.1
98	100.2	100.1	100.2	99.9	99.8	100
99	101	100.9	101.1	100.8	100.7	100.9
100	101.9	101.8	101.9	101.8	101.7	101.8

Odds of living to age in Germany vs Guinea

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 93.4% in Germany and 66.9% in Guinea are expected to survive till at least 60 years old, 84.3% and 51.3% will live to 70 years or older, 66.5% and 26% to 80+ years, and 28.7% and 4.56% 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
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.8%	93.7%	93.1%	94.3%
2	99.7%	99.7%	99.7%	92.8%	92.2%	93.5%
3	99.7%	99.7%	99.7%	92.1%	91.4%	92.8%
4	99.7%	99.7%	99.7%	91.5%	90.8%	92.2%
5	99.7%	99.7%	99.7%	91%	90.3%	91.7%
6	99.7%	99.7%	99.7%	90.6%	89.9%	91.3%
7	99.7%	99.6%	99.7%	90.3%	89.6%	91%
8	99.7%	99.6%	99.7%	90%	89.3%	90.7%
9	99.7%	99.6%	99.7%	89.7%	89.1%	90.4%
10	99.7%	99.6%	99.7%	89.5%	88.9%	90.2%
11	99.6%	99.6%	99.7%	89.3%	88.7%	90%
12	99.6%	99.6%	99.7%	89.2%	88.5%	89.8%
13	99.6%	99.6%	99.7%	89%	88.4%	89.6%
14	99.6%	99.6%	99.7%	88.8%	88.2%	89.5%
15	99.6%	99.6%	99.6%	88.6%	88%	89.3%
16	99.6%	99.6%	99.6%	88.5%	87.8%	89.1%
17	99.6%	99.6%	99.6%	88.2%	87.6%	88.9%
18	99.6%	99.5%	99.6%	88%	87.4%	88.7%
19	99.5%	99.5%	99.6%	87.8%	87.1%	88.4%
20	99.5%	99.5%	99.6%	87.5%	86.8%	88.2%
21	99.5%	99.4%	99.6%	87.2%	86.5%	87.9%
22	99.5%	99.4%	99.5%	86.9%	86.1%	87.7%
23	99.4%	99.4%	99.5%	86.6%	85.8%	87.4%
24	99.4%	99.3%	99.5%	86.3%	85.4%	87.1%
25	99.4%	99.3%	99.5%	85.9%	85%	86.9%
26	99.4%	99.2%	99.5%	85.6%	84.7%	86.6%
27	99.3%	99.2%	99.5%	85.3%	84.3%	86.3%
28	99.3%	99.2%	99.5%	85%	84%	86%
29	99.3%	99.1%	99.4%	84.6%	83.6%	85.6%
30	99.2%	99.1%	99.4%	84.3%	83.3%	85.3%
31	99.2%	99%	99.4%	83.9%	82.9%	85%
32	99.2%	99%	99.4%	83.6%	82.5%	84.6%
33	99.1%	98.9%	99.3%	83.2%	82.2%	84.3%
34	99.1%	98.9%	99.3%	82.8%	81.8%	83.9%
35	99%	98.8%	99.3%	82.5%	81.4%	83.6%
36	99%	98.7%	99.2%	82.1%	81%	83.2%
37	98.9%	98.6%	99.2%	81.7%	80.6%	82.9%
38	98.8%	98.6%	99.1%	81.3%	80.2%	82.5%
39	98.8%	98.5%	99.1%	80.9%	79.8%	82.1%
40	98.7%	98.4%	99%	80.5%	79.3%	81.7%
41	98.6%	98.3%	99%	80%	78.9%	81.2%
42	98.5%	98.1%	98.9%	79.6%	78.4%	80.8%
43	98.4%	98%	98.8%	79.1%	77.9%	80.3%
44	98.3%	97.9%	98.8%	78.6%	77.4%	79.8%
45	98.2%	97.7%	98.7%	78.1%	76.9%	79.3%
46	98%	97.6%	98.6%	77.6%	76.3%	78.8%
47	97.9%	97.4%	98.5%	77%	75.8%	78.3%
48	97.7%	97.2%	98.3%	76.5%	75.2%	77.8%
49	97.5%	96.9%	98.2%	75.9%	74.6%	77.3%
50	97.3%	96.7%	98%	75.3%	73.9%	76.7%
51	97.1%	96.4%	97.9%	74.6%	73.2%	76.1%
52	96.9%	96.1%	97.7%	73.9%	72.4%	75.4%
53	96.6%	95.7%	97.5%	73.2%	71.6%	74.7%
54	96.3%	95.3%	97.2%	72.4%	70.8%	74%
55	95.9%	94.8%	97%	71.6%	69.9%	73.3%
56	95.5%	94.3%	96.7%	70.7%	69%	72.5%
57	95.1%	93.8%	96.4%	69.9%	68%	71.6%
58	94.6%	93.1%	96%	68.9%	67%	70.8%
59	94%	92.5%	95.7%	67.9%	66%	69.8%
60	93.4%	91.7%	95.2%	66.9%	64.9%	68.8%
61	92.8%	90.9%	94.8%	65.8%	63.7%	67.8%
62	92.1%	90%	94.3%	64.5%	62.4%	66.6%
63	91.3%	89%	93.8%	63.2%	61%	65.3%
64	90.5%	88%	93.2%	61.8%	59.5%	64%
65	89.6%	86.8%	92.6%	60.3%	57.9%	62.5%
66	88.7%	85.6%	91.9%	58.7%	56.2%	61%
67	87.7%	84.3%	91.2%	57%	54.5%	59.3%
68	86.6%	83%	90.4%	55.2%	52.6%	57.5%
69	85.5%	81.6%	89.5%	53.3%	50.7%	55.7%
70	84.3%	80%	88.6%	51.3%	48.7%	53.6%
71	83%	78.4%	87.6%	49.1%	46.5%	51.5%
72	81.6%	76.7%	86.5%	46.9%	44.3%	49.2%
73	80.1%	74.9%	85.4%	44.5%	41.9%	46.8%
74	78.5%	73%	84.1%	42%	39.5%	44.3%
75	76.9%	71%	82.8%	39.5%	37%	41.7%
76	75.1%	68.9%	81.4%	36.9%	34.4%	39.1%
77	73.2%	66.7%	79.8%	34.2%	31.8%	36.3%
78	71.2%	64.3%	78.1%	31.5%	29.1%	33.5%
79	68.9%	61.7%	76.2%	28.7%	26.4%	30.7%
80	66.5%	58.9%	74%	26%	23.8%	27.8%
81	63.8%	56%	71.6%	23.2%	21.2%	25%
82	60.8%	52.8%	68.9%	20.5%	18.6%	22.2%
83	57.6%	49.3%	65.8%	17.9%	16.2%	19.5%
84	54%	45.7%	62.4%	15.5%	13.9%	16.8%
85	50.3%	41.9%	58.6%	13.2%	11.7%	14.4%
86	46.2%	37.9%	54.5%	11%	9.77%	12.1%
87	42%	33.8%	50.1%	9.09%	7.98%	10%
88	37.6%	29.7%	45.4%	7.37%	6.38%	8.21%
89	33.1%	25.6%	40.5%	5.86%	4.99%	6.6%
90	28.7%	21.7%	35.6%	4.56%	3.8%	5.21%
91	24.3%	18%	30.6%	3.47%	2.81%	4.03%
92	20.2%	14.5%	25.7%	2.58%	2.02%	3.06%
93	16.4%	11.4%	21.1%	1.87%	1.41%	2.26%
94	12.9%	8.74%	16.9%	1.32%	0.95%	1.63%
95	9.89%	6.48%	13.1%	0.91%	0.63%	1.14%
96	7.35%	4.66%	9.89%	0.6%	0.4%	0.77%
97	5.28%	3.24%	7.19%	0.39%	0.25%	0.51%
98	3.66%	2.17%	5.04%	0.24%	0.15%	0.32%
99	2.44%	1.4%	3.4%	0.15%	0.09%	0.2%
100	1.57%	0.87%	2.2%	0.09%	0.05%	0.12%

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 6.31% in Guinea, 0.04% vs 0.41% at age 30, 0.69% vs 1.69% at 60, and 4.06% vs 10.5% at 80.

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

Table

Age	Probability of dying
	Germany			Guinea
	Average	Male	Female	Average	Male	Female
0	0.26%	0.28%	0.24%	6.31%	6.88%	5.72%
1	0.03%	0.03%	0.02%	0.92%	0.99%	0.85%
2	0.01%	0.01%	0.009%	0.77%	0.82%	0.73%
3	0.009%	0.009%	0.008%	0.65%	0.67%	0.62%
4	0.008%	0.009%	0.008%	0.54%	0.55%	0.53%
5	0.008%	0.008%	0.007%	0.45%	0.46%	0.45%
6	0.007%	0.008%	0.006%	0.38%	0.38%	0.38%
7	0.006%	0.007%	0.005%	0.32%	0.31%	0.33%
8	0.006%	0.007%	0.005%	0.27%	0.26%	0.28%
9	0.006%	0.006%	0.005%	0.23%	0.22%	0.24%
10	0.006%	0.006%	0.005%	0.21%	0.2%	0.22%
11	0.006%	0.006%	0.006%	0.19%	0.18%	0.2%
12	0.007%	0.007%	0.007%	0.19%	0.18%	0.19%
13	0.008%	0.008%	0.008%	0.19%	0.18%	0.19%
14	0.009%	0.01%	0.009%	0.2%	0.2%	0.2%
15	0.01%	0.01%	0.01%	0.22%	0.22%	0.21%
16	0.02%	0.02%	0.01%	0.24%	0.25%	0.23%
17	0.02%	0.03%	0.01%	0.26%	0.28%	0.25%
18	0.02%	0.03%	0.01%	0.29%	0.31%	0.26%
19	0.03%	0.03%	0.02%	0.31%	0.35%	0.28%
20	0.03%	0.04%	0.02%	0.33%	0.38%	0.29%
21	0.03%	0.04%	0.01%	0.35%	0.4%	0.3%
22	0.03%	0.04%	0.01%	0.36%	0.41%	0.31%
23	0.03%	0.04%	0.02%	0.37%	0.42%	0.31%
24	0.03%	0.04%	0.02%	0.37%	0.42%	0.32%
25	0.03%	0.04%	0.02%	0.38%	0.42%	0.34%
26	0.03%	0.04%	0.02%	0.38%	0.42%	0.35%
27	0.03%	0.04%	0.02%	0.39%	0.42%	0.36%
28	0.03%	0.04%	0.02%	0.4%	0.42%	0.37%
29	0.04%	0.05%	0.02%	0.41%	0.43%	0.38%
30	0.04%	0.05%	0.03%	0.41%	0.44%	0.39%
31	0.04%	0.05%	0.03%	0.42%	0.45%	0.4%
32	0.05%	0.06%	0.03%	0.43%	0.46%	0.41%
33	0.05%	0.06%	0.03%	0.44%	0.46%	0.41%
34	0.05%	0.07%	0.04%	0.45%	0.47%	0.42%
35	0.06%	0.07%	0.04%	0.46%	0.48%	0.43%
36	0.06%	0.08%	0.04%	0.47%	0.49%	0.45%
37	0.07%	0.08%	0.05%	0.49%	0.51%	0.47%
38	0.07%	0.09%	0.05%	0.51%	0.52%	0.49%
39	0.08%	0.1%	0.06%	0.53%	0.55%	0.51%
40	0.09%	0.11%	0.06%	0.56%	0.57%	0.54%
41	0.09%	0.12%	0.07%	0.58%	0.6%	0.56%
42	0.1%	0.13%	0.07%	0.6%	0.63%	0.58%
43	0.11%	0.14%	0.08%	0.62%	0.65%	0.6%
44	0.12%	0.16%	0.09%	0.64%	0.68%	0.61%
45	0.14%	0.17%	0.1%	0.66%	0.7%	0.62%
46	0.15%	0.19%	0.11%	0.68%	0.73%	0.64%
47	0.17%	0.21%	0.12%	0.71%	0.77%	0.66%
48	0.19%	0.24%	0.14%	0.76%	0.83%	0.7%
49	0.21%	0.27%	0.16%	0.81%	0.89%	0.74%
50	0.24%	0.3%	0.17%	0.87%	0.97%	0.8%
51	0.26%	0.33%	0.19%	0.94%	1.04%	0.86%
52	0.29%	0.38%	0.21%	1.01%	1.12%	0.92%
53	0.33%	0.43%	0.24%	1.07%	1.19%	0.97%
54	0.37%	0.48%	0.26%	1.13%	1.25%	1.03%
55	0.42%	0.54%	0.29%	1.19%	1.31%	1.09%
56	0.46%	0.6%	0.33%	1.25%	1.38%	1.15%
57	0.51%	0.66%	0.36%	1.33%	1.46%	1.22%
58	0.57%	0.74%	0.39%	1.43%	1.56%	1.31%
59	0.62%	0.81%	0.44%	1.55%	1.69%	1.42%
60	0.69%	0.89%	0.48%	1.69%	1.85%	1.56%
61	0.75%	0.98%	0.52%	1.86%	2.03%	1.71%
62	0.82%	1.08%	0.57%	2.04%	2.23%	1.88%
63	0.9%	1.19%	0.62%	2.23%	2.44%	2.07%
64	0.98%	1.29%	0.67%	2.44%	2.65%	2.27%
65	1.05%	1.39%	0.73%	2.66%	2.88%	2.49%
66	1.14%	1.49%	0.79%	2.9%	3.12%	2.73%
67	1.23%	1.61%	0.86%	3.16%	3.39%	2.99%
68	1.32%	1.73%	0.94%	3.46%	3.69%	3.29%
69	1.42%	1.86%	1.02%	3.8%	4.03%	3.63%
70	1.54%	2.01%	1.12%	4.18%	4.41%	4%
71	1.67%	2.17%	1.23%	4.59%	4.84%	4.41%
72	1.8%	2.34%	1.34%	5.05%	5.31%	4.86%
73	1.95%	2.53%	1.45%	5.54%	5.82%	5.34%
74	2.12%	2.74%	1.59%	6.07%	6.37%	5.85%
75	2.31%	2.99%	1.74%	6.64%	6.97%	6.41%
76	2.53%	3.26%	1.92%	7.27%	7.63%	7.02%
77	2.8%	3.59%	2.14%	7.97%	8.36%	7.7%
78	3.13%	3.98%	2.44%	8.74%	9.15%	8.46%
79	3.56%	4.47%	2.82%	9.6%	10%	9.3%
80	4.06%	5.05%	3.29%	10.5%	11%	10.2%
81	4.65%	5.72%	3.83%	11.5%	12%	11.2%
82	5.32%	6.49%	4.45%	12.6%	13.1%	12.3%
83	6.11%	7.38%	5.17%	13.8%	14.2%	13.4%
84	7.01%	8.39%	6.01%	15%	15.5%	14.6%
85	8.04%	9.54%	6.99%	16.2%	16.8%	15.8%
86	9.19%	10.8%	8.11%	17.5%	18.3%	17%
87	10.5%	12.2%	9.36%	19%	20%	18.3%
88	11.9%	13.7%	10.7%	20.5%	21.9%	19.6%
89	13.4%	15.4%	12.3%	22.1%	23.9%	21%
90	15.1%	17.1%	14%	23.8%	26%	22.6%
91	17%	19.1%	15.9%	25.6%	28.1%	24.2%
92	19%	21.3%	17.9%	27.5%	30.2%	26%
93	21.1%	23.6%	20%	29.4%	32.3%	28%
94	23.3%	25.9%	22.2%	31.4%	34.2%	30.1%
95	25.7%	28.2%	24.7%	33.5%	36.2%	32.3%
96	28.2%	30.5%	27.3%	35.5%	38.1%	34.4%
97	30.7%	32.9%	30%	37.4%	40%	36.4%
98	33.3%	35.4%	32.6%	39.3%	42%	38.4%
99	35.8%	37.9%	35.2%	41.1%	44%	40.2%
100	38.4%	40.3%	37.9%	43.1%	45.9%	42.3%

Death rate by age in Germany compared to Guinea

In Germany, the most common age of death is 88, compared to 0 in Guinea. The median age of death is 85.1 in Germany and 70.6 in Guinea — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Germany			Guinea
	Total	Male	Female	Total	Male	Female
0	263.3	281	244.7	6,306	6,878	5,716
1	27.4	29.9	24.7	867	925	805
2	10.1	11	9.22	719	754	682
3	8.73	9.26	8.17	598	616	579
4	8.4	8.73	8.05	497	504	491
5	7.69	8.09	7.28	414	412	415
6	6.74	7.49	5.95	345	339	351
7	5.96	6.94	4.91	288.2	279.6	297.3
8	5.54	6.48	4.56	243.5	234	253.4
9	5.49	6.23	4.71	209.6	200.3	219.4
10	5.74	6.23	5.22	185.9	177.3	195
11	6.08	6.17	5.99	171.6	164	179.6
12	6.7	6.53	6.87	165.7	159.4	172.3
13	7.7	7.78	7.61	167.7	163.1	172.4
14	9.35	10.1	8.53	176.5	174.3	178.8
15	12	13.8	10.2	191.4	192.7	190
16	15.5	18.8	12.1	210.8	217	204.4
17	19.5	25.1	13.6	232.6	245.2	219.4
18	22.9	30.7	14.5	254.5	274.7	233.5
19	25.3	34.6	15.4	274.2	302	244.9
20	26.1	36	15.5	290.5	326	253.9
21	25.6	36	14.7	303	343	261.2
22	25.7	36.2	14.6	312	354	267.8
23	26.2	36.7	15	317	358	274.8
24	26.9	37.6	15.2	322	359	282.7
25	27.6	38.6	15.7	325	357	291.4
26	28.6	39.3	16.8	328	355	301
27	30	40.3	18.5	332	354	310
28	32.1	42.4	20.8	337	356	318
29	34.9	45.3	23.4	343	359	326
30	38.5	49.5	26.4	349	365	333
31	42	54	28.8	355	371	339
32	44.7	58.3	30	360	376	344
33	47.6	61.9	32.2	365	381	349
34	51	65.8	35.2	370	385	355
35	55	71.1	37.8	377	390	363
36	59.4	77	40.6	385	397	373
37	64.7	83.1	44.9	396	407	386
38	70.3	89.5	49.8	411	421	402
39	76.9	97.9	54.6	428	437	420
40	84.2	107.7	59.5	447	456	438
41	91.5	117.1	64.6	465	475	455
42	99.4	126.7	71	480	492	469
43	108.4	137.1	78.7	493	508	479
44	120.3	152.3	87.5	503	523	486
45	134.2	170.5	97.3	514	538	493
46	149.1	188.7	108.9	528	558	503
47	165.7	208.4	122.3	549	585	519
48	185.3	232.3	137.5	578	621	542
49	207	259.3	153.8	614	664	573
50	229.5	287.6	170.4	657	713	610
51	254.5	320	188	702	764	651
52	284.9	360	208.4	745	811	691
53	320	407	231.5	784	852	728
54	358	456	256.9	818	886	762
55	398	508	285.7	851	918	795
56	441	563	316	886	951	831
57	487	623	346	928	994	874
58	535	687	378	983	1,049	928
59	587	753	416	1,050	1,118	993
60	642	821	457	1,130	1,201	1,071
61	699	895	495	1,220	1,293	1,159
62	757	972	534	1,315	1,390	1,254
63	821	1,055	579	1,412	1,485	1,352
64	884	1,135	627	1,508	1,578	1,453
65	943	1,205	676	1,604	1,667	1,556
66	1,007	1,280	730	1,702	1,755	1,662
67	1,075	1,357	788	1,803	1,845	1,774
68	1,142	1,432	848	1,911	1,941	1,893
69	1,217	1,514	916	2,024	2,042	2,018
70	1,300	1,607	995	2,141	2,146	2,146
71	1,389	1,705	1,078	2,256	2,250	2,272
72	1,471	1,797	1,157	2,366	2,349	2,391
73	1,560	1,893	1,240	2,465	2,439	2,499
74	1,662	2,004	1,335	2,552	2,516	2,594
75	1,777	2,125	1,442	2,624	2,578	2,675
76	1,900	2,250	1,561	2,682	2,625	2,742
77	2,048	2,391	1,710	2,725	2,654	2,796
78	2,230	2,560	1,904	2,751	2,665	2,835
79	2,452	2,760	2,150	2,756	2,652	2,854
80	2,702	2,979	2,436	2,734	2,611	2,847
81	2,964	3,202	2,740	2,680	2,540	2,807
82	3,238	3,424	3,062	2,592	2,438	2,730
83	3,517	3,640	3,402	2,469	2,306	2,613
84	3,788	3,836	3,753	2,314	2,150	2,458
85	4,039	3,995	4,101	2,134	1,977	2,272
86	4,248	4,095	4,424	1,935	1,791	2,062
87	4,390	4,114	4,689	1,725	1,596	1,839
88	4,458	4,061	4,878	1,510	1,395	1,611
89	4,447	3,930	4,984	1,296	1,190	1,388
90	4,341	3,710	4,988	1,087	986	1,175
91	4,141	3,427	4,868	891	790	977
92	3,843	3,091	4,602	711	611	796
93	3,456	2,699	4,218	552	455	633
94	3,012	2,264	3,756	416	327	490
95	2,537	1,824	3,236	303	227	367
96	2,070	1,421	2,698	213.9	152.6	265
97	1,623	1,066	2,155	145.7	99.3	184.2
98	1,217	768	1,642	95.7	62.5	123.3
99	874	530	1,197	60.7	38	79.6
100	411	149.7	645	0	0	0

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 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: Side-by-Side Comparison

By topic vs comparisons:

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