Life Expectancy in Germany vs Seychelles (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Seychelles

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Seychelles
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102	101.8	102
99	101	100.9	101.1	101.1	100.9	101.1
98	100.2	100.1	100.2	100.2	100	100.2
97	99.4	99.2	99.4	99.3	99.2	99.3
96	98.6	98.4	98.6	98.4	98.3	98.5
95	97.8	97.6	97.9	97.6	97.4	97.6
94	97	96.8	97.1	96.8	96.6	96.8
93	96.3	96	96.4	95.9	95.7	96
92	95.6	95.3	95.7	95.1	94.9	95.2
91	94.9	94.5	95	94.4	94.1	94.5
90	94.2	93.9	94.4	93.6	93.3	93.7
89	93.6	93.2	93.8	92.9	92.5	93
88	93	92.5	93.2	92.1	91.8	92.3
87	92.4	91.9	92.7	91.4	91	91.6
86	91.9	91.3	92.2	90.7	90.3	90.9
85	91.3	90.8	91.7	90.1	89.6	90.3
84	90.9	90.3	91.3	89.4	88.9	89.7
83	90.4	89.8	90.9	88.8	88.2	89.1
82	90	89.3	90.5	88.1	87.5	88.5
81	89.6	88.8	90.2	87.6	86.9	88
80	89.2	88.4	89.8	87	86.2	87.5
79	88.9	88	89.6	86.4	85.6	87
78	88.6	87.6	89.3	85.9	85	86.5
77	88.2	87.3	89	85.4	84.5	86.1
76	88	86.9	88.8	84.9	83.9	85.6
75	87.7	86.6	88.6	84.4	83.4	85.3
74	87.4	86.3	88.3	83.9	82.9	84.9
73	87.1	85.9	88.1	83.5	82.4	84.5
72	86.9	85.6	87.9	83.1	81.9	84.2
71	86.6	85.3	87.7	82.7	81.4	83.9
70	86.3	85	87.5	82.3	80.9	83.6
69	86.1	84.7	87.3	81.9	80.5	83.3
68	85.9	84.4	87.2	81.5	80.1	83
67	85.6	84.2	87	81.2	79.7	82.8
66	85.4	83.9	86.8	80.9	79.3	82.5
65	85.2	83.7	86.7	80.6	78.9	82.3
64	85	83.4	86.5	80.3	78.5	82.1
63	84.8	83.2	86.4	80	78.2	81.9
62	84.6	82.9	86.2	79.7	77.9	81.7
61	84.5	82.7	86.1	79.4	77.5	81.5
60	84.3	82.5	86	79.2	77.2	81.3
59	84.1	82.3	85.9	79	76.9	81.1
58	84	82.2	85.8	78.7	76.7	81
57	83.9	82	85.7	78.5	76.4	80.8
56	83.7	81.9	85.6	78.3	76.1	80.7
55	83.6	81.7	85.5	78.1	75.9	80.6
54	83.5	81.6	85.4	77.9	75.7	80.4
53	83.4	81.5	85.3	77.7	75.4	80.3
52	83.3	81.4	85.3	77.5	75.2	80.2
51	83.2	81.3	85.2	77.4	75	80
50	83.2	81.2	85.1	77.2	74.8	79.9
49	83.1	81.1	85.1	77	74.7	79.8
48	83	81	85	76.9	74.5	79.7
47	83	80.9	85	76.7	74.3	79.6
46	82.9	80.9	84.9	76.6	74.1	79.5
45	82.9	80.8	84.9	76.4	73.9	79.5
44	82.8	80.7	84.9	76.3	73.8	79.4
43	82.8	80.7	84.8	76.2	73.6	79.3
42	82.7	80.6	84.8	76.1	73.5	79.3
41	82.7	80.6	84.8	76	73.4	79.2
40	82.7	80.6	84.7	75.9	73.3	79.2
39	82.6	80.5	84.7	75.8	73.2	79.1
38	82.6	80.5	84.7	75.7	73.1	79
37	82.6	80.4	84.7	75.7	73	79
36	82.5	80.4	84.6	75.6	72.9	78.9
35	82.5	80.4	84.6	75.5	72.8	78.8
34	82.5	80.3	84.6	75.4	72.8	78.7
33	82.5	80.3	84.6	75.3	72.7	78.7
32	82.4	80.3	84.6	75.2	72.6	78.6
31	82.4	80.3	84.6	75.2	72.5	78.5
30	82.4	80.2	84.5	75.1	72.4	78.5
29	82.4	80.2	84.5	75	72.3	78.4
28	82.4	80.2	84.5	74.9	72.2	78.4
27	82.3	80.2	84.5	74.9	72.2	78.3
26	82.3	80.1	84.5	74.8	72.1	78.3
25	82.3	80.1	84.5	74.7	72	78.2
24	82.3	80.1	84.5	74.7	72	78.2
23	82.3	80.1	84.5	74.6	71.9	78.1
22	82.3	80.1	84.5	74.6	71.8	78.1
21	82.2	80	84.5	74.5	71.7	78
20	82.2	80	84.4	74.5	71.7	78
19	82.2	80	84.4	74.4	71.6	78
18	82.2	80	84.4	74.4	71.6	78
17	82.2	80	84.4	74.4	71.5	78
16	82.2	80	84.4	74.3	71.5	78
15	82.2	79.9	84.4	74.3	71.5	78
14	82.2	79.9	84.4	74.3	71.4	77.9
13	82.2	79.9	84.4	74.3	71.4	77.9
12	82.2	79.9	84.4	74.3	71.4	77.9
11	82.2	79.9	84.4	74.3	71.4	77.9
10	82.1	79.9	84.4	74.2	71.4	77.9
9	82.1	79.9	84.4	74.2	71.3	77.9
8	82.1	79.9	84.4	74.2	71.3	77.9
7	82.1	79.9	84.4	74.2	71.3	77.9
6	82.1	79.9	84.4	74.2	71.3	77.8
5	82.1	79.9	84.4	74.1	71.3	77.8
4	82.1	79.9	84.4	74.1	71.2	77.8
3	82.1	79.9	84.3	74.1	71.2	77.8
2	82.1	79.9	84.3	74	71.2	77.7
1	82.1	79.8	84.3	74	71.1	77.7
0	81.9	79.6	84.1	73.3	70.4	77

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in Germany can expect to live to 82.4 years compared to 75.1 in the Seychelles, rising to 85.2 and 80.6 at 65, and to 89.2 and 87 at 80 — higher than the 81.9 and 73.3 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Germany and the Seychelles.

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Seychelles

Male

Female

1x

Age	Survival probability
	Germany			Seychelles
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.38%	0.17%	0.6%
99	2.44%	1.4%	3.4%	0.6%	0.28%	0.95%
98	3.66%	2.17%	5.04%	0.91%	0.44%	1.44%
97	5.28%	3.24%	7.19%	1.36%	0.67%	2.13%
96	7.35%	4.66%	9.89%	1.97%	0.99%	3.05%
95	9.89%	6.48%	13.1%	2.77%	1.44%	4.25%
94	12.9%	8.74%	16.9%	3.78%	2.03%	5.75%
93	16.4%	11.4%	21.1%	5.04%	2.8%	7.59%
92	20.2%	14.5%	25.7%	6.56%	3.77%	9.78%
91	24.3%	18%	30.6%	8.35%	4.95%	12.3%
90	28.7%	21.7%	35.6%	10.4%	6.35%	15.2%
89	33.1%	25.6%	40.5%	12.7%	7.99%	18.4%
88	37.6%	29.7%	45.4%	15.3%	9.87%	21.8%
87	42%	33.8%	50.1%	18%	12%	25.5%
86	46.2%	37.9%	54.5%	21%	14.3%	29.3%
85	50.3%	41.9%	58.6%	24.1%	16.8%	33.2%
84	54%	45.7%	62.4%	27.3%	19.5%	37.1%
83	57.6%	49.3%	65.8%	30.6%	22.3%	41%
82	60.8%	52.8%	68.9%	33.9%	25.3%	44.9%
81	63.8%	56%	71.6%	37.3%	28.3%	48.6%
80	66.5%	58.9%	74%	40.5%	31.4%	52.2%
79	68.9%	61.7%	76.2%	43.8%	34.5%	55.6%
78	71.2%	64.3%	78.1%	46.9%	37.6%	58.8%
77	73.2%	66.7%	79.8%	50%	40.7%	61.9%
76	75.1%	68.9%	81.4%	53%	43.8%	64.7%
75	76.9%	71%	82.8%	55.8%	46.7%	67.4%
74	78.5%	73%	84.1%	58.6%	49.6%	69.8%
73	80.1%	74.9%	85.4%	61.1%	52.5%	72.1%
72	81.6%	76.7%	86.5%	63.6%	55.2%	74.1%
71	83%	78.4%	87.6%	65.9%	57.8%	76%
70	84.3%	80%	88.6%	68.1%	60.3%	77.8%
69	85.5%	81.6%	89.5%	70.1%	62.7%	79.4%
68	86.6%	83%	90.4%	72.1%	65%	80.8%
67	87.7%	84.3%	91.2%	73.9%	67.2%	82.2%
66	88.7%	85.6%	91.9%	75.6%	69.2%	83.4%
65	89.6%	86.8%	92.6%	77.1%	71.2%	84.6%
64	90.5%	88%	93.2%	78.6%	73%	85.6%
63	91.3%	89%	93.8%	79.9%	74.8%	86.6%
62	92.1%	90%	94.3%	81.2%	76.4%	87.5%
61	92.8%	90.9%	94.8%	82.4%	77.9%	88.3%
60	93.4%	91.7%	95.2%	83.5%	79.3%	89%
59	94%	92.5%	95.7%	84.5%	80.7%	89.7%
58	94.6%	93.1%	96%	85.5%	81.9%	90.4%
57	95.1%	93.8%	96.4%	86.4%	83.1%	90.9%
56	95.5%	94.3%	96.7%	87.2%	84.2%	91.5%
55	95.9%	94.8%	97%	88%	85.2%	92%
54	96.3%	95.3%	97.2%	88.7%	86.1%	92.4%
53	96.6%	95.7%	97.5%	89.4%	87%	92.8%
52	96.9%	96.1%	97.7%	90%	87.8%	93.3%
51	97.1%	96.4%	97.9%	90.6%	88.6%	93.7%
50	97.3%	96.7%	98%	91.2%	89.2%	94.1%
49	97.5%	96.9%	98.2%	91.7%	89.9%	94.4%
48	97.7%	97.2%	98.3%	92.2%	90.5%	94.8%
47	97.9%	97.4%	98.5%	92.7%	91.1%	95.1%
46	98%	97.6%	98.6%	93.2%	91.7%	95.3%
45	98.2%	97.7%	98.7%	93.6%	92.3%	95.5%
44	98.3%	97.9%	98.8%	94%	92.8%	95.7%
43	98.4%	98%	98.8%	94.3%	93.3%	95.8%
42	98.5%	98.1%	98.9%	94.6%	93.7%	95.9%
41	98.6%	98.3%	99%	94.9%	94%	96.1%
40	98.7%	98.4%	99%	95.2%	94.3%	96.2%
39	98.8%	98.5%	99.1%	95.4%	94.6%	96.4%
38	98.8%	98.6%	99.1%	95.6%	94.8%	96.5%
37	98.9%	98.6%	99.2%	95.8%	95%	96.7%
36	99%	98.7%	99.2%	96%	95.2%	96.8%
35	99%	98.8%	99.3%	96.2%	95.4%	97%
34	99.1%	98.9%	99.3%	96.3%	95.7%	97.2%
33	99.1%	98.9%	99.3%	96.5%	95.9%	97.3%
32	99.2%	99%	99.4%	96.7%	96.1%	97.5%
31	99.2%	99%	99.4%	96.9%	96.3%	97.6%
30	99.2%	99.1%	99.4%	97.1%	96.5%	97.7%
29	99.3%	99.1%	99.4%	97.2%	96.7%	97.8%
28	99.3%	99.2%	99.5%	97.4%	96.9%	97.9%
27	99.3%	99.2%	99.5%	97.5%	97%	98%
26	99.4%	99.2%	99.5%	97.6%	97.2%	98.1%
25	99.4%	99.3%	99.5%	97.8%	97.3%	98.2%
24	99.4%	99.3%	99.5%	97.9%	97.5%	98.3%
23	99.4%	99.4%	99.5%	98%	97.6%	98.4%
22	99.5%	99.4%	99.5%	98.1%	97.8%	98.5%
21	99.5%	99.4%	99.6%	98.2%	97.9%	98.6%
20	99.5%	99.5%	99.6%	98.3%	98%	98.6%
19	99.5%	99.5%	99.6%	98.4%	98.1%	98.6%
18	99.6%	99.5%	99.6%	98.5%	98.2%	98.7%
17	99.6%	99.6%	99.6%	98.5%	98.3%	98.7%
16	99.6%	99.6%	99.6%	98.5%	98.4%	98.7%
15	99.6%	99.6%	99.6%	98.6%	98.4%	98.7%
14	99.6%	99.6%	99.7%	98.6%	98.5%	98.7%
13	99.6%	99.6%	99.7%	98.6%	98.5%	98.7%
12	99.6%	99.6%	99.7%	98.6%	98.5%	98.8%
11	99.6%	99.6%	99.7%	98.7%	98.6%	98.8%
10	99.7%	99.6%	99.7%	98.7%	98.6%	98.8%
9	99.7%	99.6%	99.7%	98.7%	98.6%	98.8%
8	99.7%	99.6%	99.7%	98.7%	98.6%	98.8%
7	99.7%	99.6%	99.7%	98.8%	98.7%	98.9%
6	99.7%	99.7%	99.7%	98.8%	98.7%	98.9%
5	99.7%	99.7%	99.7%	98.8%	98.7%	98.9%
4	99.7%	99.7%	99.7%	98.9%	98.8%	99%
3	99.7%	99.7%	99.7%	98.9%	98.8%	99%
2	99.7%	99.7%	99.7%	99%	98.9%	99.1%
1	99.7%	99.7%	99.8%	99%	98.9%	99.1%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 83.5% in the Seychelles are expected to live past 60, 84.3% and 68.1% past 70, 66.5% and 40.5% past 80, and only 28.7% and 10.4% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Germany

Male

Female

Seychelles

Male

Female

1x

Age	Probability of dying
	Germany			Seychelles
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	38.8%	40.4%	38.5%
99	35.8%	37.9%	35.2%	36.8%	38.5%	36.4%
98	33.3%	35.4%	32.6%	34.9%	36.7%	34.3%
97	30.7%	32.9%	30%	32.9%	34.8%	32.2%
96	28.2%	30.5%	27.3%	30.9%	32.9%	30.2%
95	25.7%	28.2%	24.7%	28.8%	31%	28.1%
94	23.3%	25.9%	22.2%	26.8%	29.2%	26.2%
93	21.1%	23.6%	20%	25%	27.4%	24.2%
92	19%	21.3%	17.9%	23.2%	25.6%	22.4%
91	17%	19.1%	15.9%	21.5%	23.8%	20.6%
90	15.1%	17.1%	14%	19.8%	22.1%	18.9%
89	13.4%	15.4%	12.3%	18.2%	20.5%	17.3%
88	11.9%	13.7%	10.7%	16.7%	19%	15.8%
87	10.5%	12.2%	9.36%	15.3%	17.6%	14.4%
86	9.19%	10.8%	8.11%	14%	16.2%	13%
85	8.04%	9.54%	6.99%	12.8%	15%	11.8%
84	7.01%	8.39%	6.01%	11.8%	13.8%	10.6%
83	6.11%	7.38%	5.17%	10.8%	12.7%	9.54%
82	5.32%	6.49%	4.45%	9.85%	11.7%	8.56%
81	4.65%	5.72%	3.83%	8.91%	10.7%	7.67%
80	4.06%	5.05%	3.29%	8.1%	9.84%	6.87%
79	3.56%	4.47%	2.82%	7.4%	9.03%	6.15%
78	3.13%	3.98%	2.44%	6.74%	8.28%	5.5%
77	2.8%	3.59%	2.14%	6.11%	7.59%	4.92%
76	2.53%	3.26%	1.92%	5.6%	6.96%	4.39%
75	2.31%	2.99%	1.74%	5.14%	6.38%	3.92%
74	2.12%	2.74%	1.59%	4.64%	5.86%	3.5%
73	1.95%	2.53%	1.45%	4.2%	5.38%	3.12%
72	1.8%	2.34%	1.34%	3.86%	4.94%	2.79%
71	1.67%	2.17%	1.23%	3.53%	4.53%	2.5%
70	1.54%	2.01%	1.12%	3.2%	4.16%	2.25%
69	1.42%	1.86%	1.02%	2.94%	3.83%	2.02%
68	1.32%	1.73%	0.94%	2.69%	3.52%	1.82%
67	1.23%	1.61%	0.86%	2.45%	3.24%	1.64%
66	1.14%	1.49%	0.79%	2.23%	2.98%	1.48%
65	1.05%	1.39%	0.73%	2.03%	2.74%	1.35%
64	0.98%	1.29%	0.67%	1.85%	2.52%	1.23%
63	0.9%	1.19%	0.62%	1.69%	2.32%	1.12%
62	0.82%	1.08%	0.57%	1.57%	2.13%	1.02%
61	0.75%	0.98%	0.52%	1.44%	1.96%	0.92%
60	0.69%	0.89%	0.48%	1.32%	1.8%	0.84%
59	0.62%	0.81%	0.44%	1.21%	1.66%	0.77%
58	0.57%	0.74%	0.39%	1.1%	1.53%	0.7%
57	0.51%	0.66%	0.36%	1.03%	1.4%	0.64%
56	0.46%	0.6%	0.33%	0.97%	1.29%	0.58%
55	0.42%	0.54%	0.29%	0.89%	1.19%	0.52%
54	0.37%	0.48%	0.26%	0.82%	1.09%	0.48%
53	0.33%	0.43%	0.24%	0.77%	1%	0.47%
52	0.29%	0.38%	0.21%	0.71%	0.91%	0.46%
51	0.26%	0.33%	0.19%	0.66%	0.83%	0.44%
50	0.24%	0.3%	0.17%	0.62%	0.77%	0.42%
49	0.21%	0.27%	0.16%	0.58%	0.72%	0.39%
48	0.19%	0.24%	0.14%	0.54%	0.69%	0.34%
47	0.17%	0.21%	0.12%	0.51%	0.66%	0.3%
46	0.15%	0.19%	0.11%	0.48%	0.63%	0.25%
45	0.14%	0.17%	0.1%	0.44%	0.61%	0.21%
44	0.12%	0.16%	0.09%	0.42%	0.57%	0.18%
43	0.11%	0.14%	0.08%	0.38%	0.51%	0.15%
42	0.1%	0.13%	0.07%	0.33%	0.45%	0.14%
41	0.09%	0.12%	0.07%	0.29%	0.38%	0.14%
40	0.09%	0.11%	0.06%	0.25%	0.32%	0.14%
39	0.08%	0.1%	0.06%	0.23%	0.27%	0.15%
38	0.07%	0.09%	0.05%	0.21%	0.24%	0.16%
37	0.07%	0.08%	0.05%	0.2%	0.22%	0.17%
36	0.06%	0.08%	0.04%	0.2%	0.21%	0.18%
35	0.06%	0.07%	0.04%	0.2%	0.22%	0.18%
34	0.05%	0.07%	0.04%	0.2%	0.22%	0.17%
33	0.05%	0.06%	0.03%	0.2%	0.23%	0.16%
32	0.05%	0.06%	0.03%	0.2%	0.23%	0.14%
31	0.04%	0.05%	0.03%	0.19%	0.22%	0.13%
30	0.04%	0.05%	0.03%	0.17%	0.21%	0.12%
29	0.04%	0.05%	0.02%	0.16%	0.19%	0.11%
28	0.03%	0.04%	0.02%	0.14%	0.17%	0.1%
27	0.03%	0.04%	0.02%	0.14%	0.16%	0.1%
26	0.03%	0.04%	0.02%	0.13%	0.16%	0.1%
25	0.03%	0.04%	0.02%	0.13%	0.15%	0.11%
24	0.03%	0.04%	0.02%	0.13%	0.15%	0.11%
23	0.03%	0.04%	0.02%	0.13%	0.15%	0.1%
22	0.03%	0.04%	0.01%	0.12%	0.15%	0.08%
21	0.03%	0.04%	0.01%	0.1%	0.14%	0.06%
20	0.03%	0.04%	0.02%	0.09%	0.13%	0.04%
19	0.03%	0.03%	0.02%	0.07%	0.11%	0.03%
18	0.02%	0.03%	0.01%	0.06%	0.1%	0.02%
17	0.02%	0.03%	0.01%	0.05%	0.08%	0.02%
16	0.02%	0.02%	0.01%	0.04%	0.06%	0.02%
15	0.01%	0.01%	0.01%	0.03%	0.05%	0.01%
14	0.009%	0.01%	0.009%	0.03%	0.04%	0.01%
13	0.008%	0.008%	0.008%	0.02%	0.03%	0.02%
12	0.007%	0.007%	0.007%	0.02%	0.03%	0.02%
11	0.006%	0.006%	0.006%	0.02%	0.03%	0.02%
10	0.006%	0.006%	0.005%	0.02%	0.02%	0.02%
9	0.006%	0.006%	0.005%	0.02%	0.02%	0.02%
8	0.006%	0.007%	0.005%	0.02%	0.03%	0.02%
7	0.006%	0.007%	0.005%	0.03%	0.03%	0.02%
6	0.007%	0.008%	0.006%	0.03%	0.03%	0.03%
5	0.008%	0.008%	0.007%	0.03%	0.04%	0.03%
4	0.008%	0.009%	0.008%	0.04%	0.04%	0.04%
3	0.009%	0.009%	0.008%	0.05%	0.05%	0.05%
2	0.01%	0.01%	0.009%	0.06%	0.06%	0.06%
1	0.03%	0.03%	0.02%	0.07%	0.07%	0.07%
0	0.26%	0.28%	0.24%	0.97%	1.06%	0.87%

This chart displays the probability of dying at any given age in Germany compared to the Seychelles, as mortality rates vary throughout a lifetime.

The annual chance of dying is 0.26% in the birth year in Germany and 0.97% in the Seychelles, 0.04% vs 0.17% at age 30, 0.69% vs 1.32% at 60, and 4.06% vs 8.1% at 80.

Death rate by age in Germany vs Seychelles

Chart Table

Germany

Male

Female

Seychelles

Male

Female

1x

Age	Death rate
	Germany			Seychelles
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	45	0	91.5
99	874	530	1,197	218.8	106.3	345
98	1,217	768	1,642	318	159.6	496
97	1,623	1,066	2,155	449	231.9	687
96	2,070	1,421	2,698	609	327	921
95	2,537	1,824	3,236	795	447	1,195
94	3,012	2,264	3,756	1,013	594	1,505
93	3,456	2,699	4,218	1,260	769	1,840
92	3,843	3,091	4,602	1,520	965	2,186
91	4,141	3,427	4,868	1,791	1,179	2,532
90	4,341	3,710	4,988	2,062	1,406	2,867
89	4,447	3,930	4,984	2,315	1,640	3,175
88	4,458	4,061	4,878	2,550	1,873	3,443
87	4,390	4,114	4,689	2,758	2,101	3,659
86	4,248	4,095	4,424	2,937	2,315	3,814
85	4,039	3,995	4,101	3,088	2,512	3,906
84	3,788	3,836	3,753	3,218	2,686	3,937
83	3,517	3,640	3,402	3,318	2,833	3,912
82	3,238	3,424	3,062	3,344	2,950	3,840
81	2,964	3,202	2,740	3,319	3,035	3,729
80	2,702	2,979	2,436	3,283	3,090	3,586
79	2,452	2,760	2,150	3,240	3,116	3,421
78	2,230	2,560	1,904	3,162	3,115	3,238
77	2,048	2,391	1,710	3,057	3,090	3,043
76	1,900	2,250	1,561	2,965	3,045	2,841
75	1,777	2,125	1,442	2,868	2,983	2,638
74	1,662	2,004	1,335	2,718	2,908	2,441
73	1,560	1,893	1,240	2,569	2,821	2,251
72	1,471	1,797	1,157	2,457	2,724	2,072
71	1,389	1,705	1,078	2,326	2,620	1,904
70	1,300	1,607	995	2,179	2,511	1,748
69	1,217	1,514	916	2,059	2,400	1,604
68	1,142	1,432	848	1,942	2,287	1,471
67	1,075	1,357	788	1,811	2,174	1,348
66	1,007	1,280	730	1,683	2,061	1,237
65	943	1,205	676	1,565	1,948	1,139
64	884	1,135	627	1,450	1,839	1,051
63	821	1,055	579	1,354	1,732	967
62	757	972	534	1,271	1,628	889
61	699	895	495	1,183	1,527	817
60	642	821	457	1,100	1,430	750
59	587	753	416	1,023	1,338	688
58	535	687	378	944	1,251	630
57	487	623	346	888	1,167	579
56	441	563	316	843	1,087	531
55	398	508	285.7	784	1,013	482
54	358	456	256.9	730	941	447
53	320	407	231.5	684	867	435
52	284.9	360	208.4	639	799	428
51	254.5	320	188	601	738	416
50	229.5	287.6	170.4	567	689	396
49	207	259.3	153.8	532	651	365
48	185.3	232.3	137.5	502	623	326
47	165.7	208.4	122.3	474	601	281.1
46	149.1	188.7	108.9	444	582	236.3
45	134.2	170.5	97.3	415	559	197.6
44	120.3	152.3	87.5	391	525	167.7
43	108.4	137.1	78.7	359	479	147.3
42	99.4	126.7	71	316	420	136.2
41	91.5	117.1	64.6	275.9	358	133.2
40	84.2	107.7	59.5	242.1	302	136.8
39	76.9	97.9	54.6	216.2	256.8	145.4
38	70.3	89.5	49.8	200.4	225.7	156.4
37	64.7	83.1	44.9	193.3	208.7	166.9
36	59.4	77	40.6	192.2	203.5	173.6
35	55	71.1	37.8	194.5	206.7	174.3
34	51	65.8	35.2	196.8	214.2	168
33	47.6	61.9	32.2	195.4	220.9	156.2
32	44.7	58.3	30	189.8	221.8	141.2
31	42	54	28.8	179.9	214.5	126.1
30	38.5	49.5	26.4	165.8	200.9	113
29	34.9	45.3	23.4	151.7	184.1	103.5
28	32.1	42.4	20.8	140.9	169	98.7
27	30	40.3	18.5	133.5	157.9	98.1
26	28.6	39.3	16.8	129.9	151.5	100.8
25	27.6	38.6	15.7	129.3	149	103.9
24	26.9	37.6	15.2	128.3	148.5	103.5
23	26.2	36.7	15	123.3	147.9	95.2
22	25.7	36.2	14.6	114.1	145.1	80.1
21	25.6	36	14.7	101.4	138.2	61.5
20	26.1	36	15.5	86.9	126.9	44
19	25.3	34.6	15.4	72.3	111.5	31.3
18	22.9	30.7	14.5	59.1	94.3	23
17	19.5	25.1	13.6	47.7	77.1	18
16	15.5	18.8	12.1	38.6	61.6	15.4
15	12	13.8	10.2	31.9	49	14.4
14	9.35	10.1	8.53	27	39.3	14.3
13	7.7	7.78	7.61	23.9	32.5	14.9
12	6.7	6.53	6.87	22.1	28	15.8
11	6.08	6.17	5.99	21.3	25.4	16.9
10	5.74	6.23	5.22	21.3	24.3	18
9	5.49	6.23	4.71	22	24.5	19.3
8	5.54	6.48	4.56	23.3	25.6	20.8
7	5.96	6.94	4.91	25.5	27.9	22.9
6	6.74	7.49	5.95	28.7	31.4	26
5	7.69	8.09	7.28	33.4	36.1	30.5
4	8.4	8.73	8.05	39.5	42	36.8
3	8.73	9.26	8.17	47.3	49.3	45.3
2	10.1	11	9.22	57.5	58.3	56.8
1	27.4	29.9	24.7	70.5	69.1	71.9
0	263.3	281	244.7	967	1,060	872

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In Germany, the most common age of death is 88, compared to 82 in the Seychelles. The median age of death is 85.1 in Germany and 77 in the Seychelles, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of Germany and the Seychelles more than their death rates.

Life expectancy in other countries

+ -

1x