Life Expectancy in Germany vs Maldives (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Maldives

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Maldives
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.1	101.9	102.2
99	101	100.9	101.1	101.2	101	101.3
98	100.2	100.1	100.2	100.4	100.2	100.5
97	99.4	99.2	99.4	99.5	99.3	99.7
96	98.6	98.4	98.6	98.7	98.5	98.9
95	97.8	97.6	97.9	97.9	97.7	98.1
94	97	96.8	97.1	97.1	96.8	97.3
93	96.3	96	96.4	96.3	96.1	96.6
92	95.6	95.3	95.7	95.6	95.3	95.8
91	94.9	94.5	95	94.8	94.5	95.1
90	94.2	93.9	94.4	94.1	93.8	94.4
89	93.6	93.2	93.8	93.4	93	93.8
88	93	92.5	93.2	92.7	92.3	93.1
87	92.4	91.9	92.7	92.1	91.6	92.5
86	91.9	91.3	92.2	91.5	91	91.9
85	91.3	90.8	91.7	90.9	90.4	91.4
84	90.9	90.3	91.3	90.3	89.8	90.9
83	90.4	89.8	90.9	89.8	89.2	90.3
82	90	89.3	90.5	89.3	88.7	89.9
81	89.6	88.8	90.2	88.8	88.2	89.4
80	89.2	88.4	89.8	88.3	87.7	89
79	88.9	88	89.6	87.9	87.3	88.6
78	88.6	87.6	89.3	87.5	86.8	88.3
77	88.2	87.3	89	87.1	86.4	87.9
76	88	86.9	88.8	86.8	86	87.6
75	87.7	86.6	88.6	86.4	85.6	87.3
74	87.4	86.3	88.3	86.1	85.3	87
73	87.1	85.9	88.1	85.8	85	86.8
72	86.9	85.6	87.9	85.5	84.7	86.6
71	86.6	85.3	87.7	85.3	84.4	86.4
70	86.3	85	87.5	85.1	84.1	86.2
69	86.1	84.7	87.3	84.8	83.9	86
68	85.9	84.4	87.2	84.6	83.7	85.8
67	85.6	84.2	87	84.4	83.4	85.7
66	85.4	83.9	86.8	84.3	83.2	85.5
65	85.2	83.7	86.7	84.1	83.1	85.4
64	85	83.4	86.5	84	82.9	85.3
63	84.8	83.2	86.4	83.8	82.7	85.1
62	84.6	82.9	86.2	83.7	82.6	85
61	84.5	82.7	86.1	83.6	82.5	84.9
60	84.3	82.5	86	83.5	82.4	84.9
59	84.1	82.3	85.9	83.4	82.3	84.8
58	84	82.2	85.8	83.3	82.2	84.7
57	83.9	82	85.7	83.3	82.1	84.6
56	83.7	81.9	85.6	83.2	82	84.6
55	83.6	81.7	85.5	83.1	82	84.5
54	83.5	81.6	85.4	83.1	81.9	84.5
53	83.4	81.5	85.3	83	81.9	84.4
52	83.3	81.4	85.3	83	81.8	84.4
51	83.2	81.3	85.2	82.9	81.8	84.4
50	83.2	81.2	85.1	82.9	81.7	84.3
49	83.1	81.1	85.1	82.8	81.7	84.3
48	83	81	85	82.8	81.6	84.3
47	83	80.9	85	82.8	81.6	84.2
46	82.9	80.9	84.9	82.7	81.5	84.2
45	82.9	80.8	84.9	82.7	81.5	84.2
44	82.8	80.7	84.9	82.7	81.5	84.2
43	82.8	80.7	84.8	82.7	81.5	84.1
42	82.7	80.6	84.8	82.6	81.4	84.1
41	82.7	80.6	84.8	82.6	81.4	84.1
40	82.7	80.6	84.7	82.6	81.4	84.1
39	82.6	80.5	84.7	82.6	81.4	84.1
38	82.6	80.5	84.7	82.6	81.4	84
37	82.6	80.4	84.7	82.5	81.4	84
36	82.5	80.4	84.6	82.5	81.3	84
35	82.5	80.4	84.6	82.5	81.3	84
34	82.5	80.3	84.6	82.5	81.3	84
33	82.5	80.3	84.6	82.5	81.3	84
32	82.4	80.3	84.6	82.5	81.3	84
31	82.4	80.3	84.6	82.5	81.3	84
30	82.4	80.2	84.5	82.4	81.2	84
29	82.4	80.2	84.5	82.4	81.2	83.9
28	82.4	80.2	84.5	82.4	81.2	83.9
27	82.3	80.2	84.5	82.4	81.2	83.9
26	82.3	80.1	84.5	82.4	81.2	83.9
25	82.3	80.1	84.5	82.4	81.2	83.9
24	82.3	80.1	84.5	82.4	81.2	83.9
23	82.3	80.1	84.5	82.3	81.1	83.9
22	82.3	80.1	84.5	82.3	81.1	83.9
21	82.2	80	84.5	82.3	81.1	83.9
20	82.2	80	84.4	82.3	81.1	83.8
19	82.2	80	84.4	82.3	81.1	83.8
18	82.2	80	84.4	82.3	81	83.8
17	82.2	80	84.4	82.3	81	83.8
16	82.2	80	84.4	82.2	81	83.8
15	82.2	79.9	84.4	82.2	81	83.8
14	82.2	79.9	84.4	82.2	81	83.8
13	82.2	79.9	84.4	82.2	80.9	83.8
12	82.2	79.9	84.4	82.2	80.9	83.8
11	82.2	79.9	84.4	82.2	80.9	83.8
10	82.1	79.9	84.4	82.2	80.9	83.8
9	82.1	79.9	84.4	82.2	80.9	83.7
8	82.1	79.9	84.4	82.2	80.9	83.7
7	82.1	79.9	84.4	82.2	80.9	83.7
6	82.1	79.9	84.4	82.1	80.9	83.7
5	82.1	79.9	84.4	82.1	80.9	83.7
4	82.1	79.9	84.4	82.1	80.9	83.7
3	82.1	79.9	84.3	82.1	80.9	83.7
2	82.1	79.9	84.3	82.1	80.9	83.7
1	82.1	79.8	84.3	82.1	80.8	83.6
0	81.9	79.6	84.1	81.7	80.4	83.3

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 82.4 in Maldives, rising to 85.2 and 84.1 at 65, and to 89.2 and 88.3 at 80 — higher than the 81.9 and 81.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Maldives

Male

Female

1x

Age	Survival probability
	Germany			Maldives
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	1.34%	0.77%	2.09%
99	2.44%	1.4%	3.4%	2.02%	1.21%	3.08%
98	3.66%	2.17%	5.04%	2.94%	1.84%	4.4%
97	5.28%	3.24%	7.19%	4.16%	2.71%	6.08%
96	7.35%	4.66%	9.89%	5.72%	3.86%	8.16%
95	9.89%	6.48%	13.1%	7.63%	5.32%	10.7%
94	12.9%	8.74%	16.9%	9.94%	7.15%	13.6%
93	16.4%	11.4%	21.1%	12.6%	9.36%	16.9%
92	20.2%	14.5%	25.7%	15.8%	12%	20.6%
91	24.3%	18%	30.6%	19.2%	15.1%	24.6%
90	28.7%	21.7%	35.6%	23.1%	18.6%	28.8%
89	33.1%	25.6%	40.5%	27.2%	22.4%	33.3%
88	37.6%	29.7%	45.4%	31.5%	26.5%	37.9%
87	42%	33.8%	50.1%	36%	30.9%	42.5%
86	46.2%	37.9%	54.5%	40.5%	35.3%	47.1%
85	50.3%	41.9%	58.6%	45%	39.7%	51.5%
84	54%	45.7%	62.4%	49.4%	44.1%	55.8%
83	57.6%	49.3%	65.8%	53.6%	48.4%	59.9%
82	60.8%	52.8%	68.9%	57.6%	52.6%	63.8%
81	63.8%	56%	71.6%	61.4%	56.5%	67.4%
80	66.5%	58.9%	74%	65%	60.3%	70.6%
79	68.9%	61.7%	76.2%	68.4%	63.9%	73.6%
78	71.2%	64.3%	78.1%	71.4%	67.2%	76.4%
77	73.2%	66.7%	79.8%	74.3%	70.4%	78.8%
76	75.1%	68.9%	81.4%	76.8%	73.3%	81.1%
75	76.9%	71%	82.8%	79.2%	75.9%	83.1%
74	78.5%	73%	84.1%	81.3%	78.4%	84.9%
73	80.1%	74.9%	85.4%	83.2%	80.6%	86.5%
72	81.6%	76.7%	86.5%	85%	82.6%	87.9%
71	83%	78.4%	87.6%	86.5%	84.4%	89.2%
70	84.3%	80%	88.6%	87.9%	86%	90.3%
69	85.5%	81.6%	89.5%	89.2%	87.5%	91.3%
68	86.6%	83%	90.4%	90.3%	88.8%	92.2%
67	87.7%	84.3%	91.2%	91.3%	90%	92.9%
66	88.7%	85.6%	91.9%	92.2%	91.1%	93.6%
65	89.6%	86.8%	92.6%	93%	92%	94.3%
64	90.5%	88%	93.2%	93.7%	92.8%	94.8%
63	91.3%	89%	93.8%	94.3%	93.5%	95.3%
62	92.1%	90%	94.3%	94.8%	94.2%	95.8%
61	92.8%	90.9%	94.8%	95.3%	94.7%	96.1%
60	93.4%	91.7%	95.2%	95.7%	95.2%	96.5%
59	94%	92.5%	95.7%	96.1%	95.6%	96.8%
58	94.6%	93.1%	96%	96.4%	96%	97%
57	95.1%	93.8%	96.4%	96.7%	96.3%	97.3%
56	95.5%	94.3%	96.7%	96.9%	96.6%	97.5%
55	95.9%	94.8%	97%	97.2%	96.8%	97.7%
54	96.3%	95.3%	97.2%	97.4%	97%	97.8%
53	96.6%	95.7%	97.5%	97.5%	97.2%	98%
52	96.9%	96.1%	97.7%	97.7%	97.4%	98.1%
51	97.1%	96.4%	97.9%	97.8%	97.5%	98.2%
50	97.3%	96.7%	98%	97.9%	97.7%	98.3%
49	97.5%	96.9%	98.2%	98%	97.8%	98.4%
48	97.7%	97.2%	98.3%	98.1%	97.9%	98.4%
47	97.9%	97.4%	98.5%	98.2%	98.1%	98.5%
46	98%	97.6%	98.6%	98.3%	98.2%	98.6%
45	98.2%	97.7%	98.7%	98.4%	98.3%	98.6%
44	98.3%	97.9%	98.8%	98.5%	98.3%	98.7%
43	98.4%	98%	98.8%	98.6%	98.4%	98.8%
42	98.5%	98.1%	98.9%	98.6%	98.5%	98.8%
41	98.6%	98.3%	99%	98.7%	98.5%	98.9%
40	98.7%	98.4%	99%	98.7%	98.5%	98.9%
39	98.8%	98.5%	99.1%	98.7%	98.6%	99%
38	98.8%	98.6%	99.1%	98.8%	98.6%	99%
37	98.9%	98.6%	99.2%	98.8%	98.7%	99%
36	99%	98.7%	99.2%	98.8%	98.7%	99%
35	99%	98.8%	99.3%	98.9%	98.7%	99.1%
34	99.1%	98.9%	99.3%	98.9%	98.8%	99.1%
33	99.1%	98.9%	99.3%	98.9%	98.8%	99.1%
32	99.2%	99%	99.4%	99%	98.8%	99.1%
31	99.2%	99%	99.4%	99%	98.8%	99.2%
30	99.2%	99.1%	99.4%	99%	98.9%	99.2%
29	99.3%	99.1%	99.4%	99%	98.9%	99.2%
28	99.3%	99.2%	99.5%	99.1%	98.9%	99.2%
27	99.3%	99.2%	99.5%	99.1%	99%	99.2%
26	99.4%	99.2%	99.5%	99.1%	99%	99.3%
25	99.4%	99.3%	99.5%	99.1%	99%	99.3%
24	99.4%	99.3%	99.5%	99.2%	99%	99.3%
23	99.4%	99.4%	99.5%	99.2%	99.1%	99.3%
22	99.5%	99.4%	99.5%	99.2%	99.1%	99.3%
21	99.5%	99.4%	99.6%	99.2%	99.1%	99.3%
20	99.5%	99.5%	99.6%	99.3%	99.2%	99.4%
19	99.5%	99.5%	99.6%	99.3%	99.2%	99.4%
18	99.6%	99.5%	99.6%	99.3%	99.2%	99.4%
17	99.6%	99.6%	99.6%	99.3%	99.3%	99.4%
16	99.6%	99.6%	99.6%	99.4%	99.3%	99.4%
15	99.6%	99.6%	99.6%	99.4%	99.3%	99.5%
14	99.6%	99.6%	99.7%	99.4%	99.4%	99.5%
13	99.6%	99.6%	99.7%	99.4%	99.4%	99.5%
12	99.6%	99.6%	99.7%	99.4%	99.4%	99.5%
11	99.6%	99.6%	99.7%	99.4%	99.4%	99.5%
10	99.7%	99.6%	99.7%	99.5%	99.4%	99.5%
9	99.7%	99.6%	99.7%	99.5%	99.4%	99.5%
8	99.7%	99.6%	99.7%	99.5%	99.4%	99.5%
7	99.7%	99.6%	99.7%	99.5%	99.4%	99.5%
6	99.7%	99.7%	99.7%	99.5%	99.4%	99.5%
5	99.7%	99.7%	99.7%	99.5%	99.4%	99.6%
4	99.7%	99.7%	99.7%	99.5%	99.5%	99.6%
3	99.7%	99.7%	99.7%	99.5%	99.5%	99.6%
2	99.7%	99.7%	99.7%	99.6%	99.5%	99.6%
1	99.7%	99.7%	99.8%	99.6%	99.5%	99.6%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 95.7% in Maldives are expected to live past 60, 84.3% and 87.9% past 70, 66.5% and 65% past 80, and only 28.7% and 23.1% 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

Maldives

Male

Female

1x

Age	Probability of dying
	Germany			Maldives
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	35.6%	38.6%	34.4%
99	35.8%	37.9%	35.2%	33.5%	36.4%	32.2%
98	33.3%	35.4%	32.6%	31.4%	34.2%	29.9%
97	30.7%	32.9%	30%	29.3%	32%	27.7%
96	28.2%	30.5%	27.3%	27.2%	29.8%	25.5%
95	25.7%	28.2%	24.7%	25.1%	27.6%	23.4%
94	23.3%	25.9%	22.2%	23.2%	25.5%	21.5%
93	21.1%	23.6%	20%	21.4%	23.6%	19.6%
92	19%	21.3%	17.9%	19.7%	22%	17.9%
91	17%	19.1%	15.9%	18.2%	20.4%	16.3%
90	15.1%	17.1%	14%	16.6%	18.8%	14.8%
89	13.4%	15.4%	12.3%	15.1%	17.1%	13.4%
88	11.9%	13.7%	10.7%	13.7%	15.6%	12.1%
87	10.5%	12.2%	9.36%	12.4%	14%	10.9%
86	9.19%	10.8%	8.11%	11.1%	12.6%	9.74%
85	8.04%	9.54%	6.99%	9.95%	11.2%	8.69%
84	7.01%	8.39%	6.01%	8.88%	9.96%	7.72%
83	6.11%	7.38%	5.17%	7.89%	8.85%	6.84%
82	5.32%	6.49%	4.45%	7.01%	7.88%	6.03%
81	4.65%	5.72%	3.83%	6.22%	7.02%	5.3%
80	4.06%	5.05%	3.29%	5.5%	6.26%	4.65%
79	3.56%	4.47%	2.82%	4.87%	5.6%	4.08%
78	3.13%	3.98%	2.44%	4.31%	5%	3.57%
77	2.8%	3.59%	2.14%	3.8%	4.45%	3.14%
76	2.53%	3.26%	1.92%	3.36%	3.95%	2.75%
75	2.31%	2.99%	1.74%	2.96%	3.5%	2.41%
74	2.12%	2.74%	1.59%	2.62%	3.1%	2.12%
73	1.95%	2.53%	1.45%	2.31%	2.74%	1.86%
72	1.8%	2.34%	1.34%	2.04%	2.42%	1.62%
71	1.67%	2.17%	1.23%	1.8%	2.14%	1.42%
70	1.54%	2.01%	1.12%	1.59%	1.9%	1.24%
69	1.42%	1.86%	1.02%	1.4%	1.69%	1.08%
68	1.32%	1.73%	0.94%	1.24%	1.5%	0.96%
67	1.23%	1.61%	0.86%	1.1%	1.33%	0.85%
66	1.14%	1.49%	0.79%	0.97%	1.17%	0.75%
65	1.05%	1.39%	0.73%	0.85%	1.02%	0.66%
64	0.98%	1.29%	0.67%	0.74%	0.88%	0.58%
63	0.9%	1.19%	0.62%	0.65%	0.77%	0.51%
62	0.82%	1.08%	0.57%	0.57%	0.67%	0.45%
61	0.75%	0.98%	0.52%	0.5%	0.58%	0.4%
60	0.69%	0.89%	0.48%	0.44%	0.5%	0.35%
59	0.62%	0.81%	0.44%	0.38%	0.44%	0.31%
58	0.57%	0.74%	0.39%	0.33%	0.38%	0.28%
57	0.51%	0.66%	0.36%	0.29%	0.33%	0.24%
56	0.46%	0.6%	0.33%	0.26%	0.29%	0.21%
55	0.42%	0.54%	0.29%	0.23%	0.25%	0.19%
54	0.37%	0.48%	0.26%	0.2%	0.22%	0.17%
53	0.33%	0.43%	0.24%	0.17%	0.19%	0.14%
52	0.29%	0.38%	0.21%	0.15%	0.16%	0.12%
51	0.26%	0.33%	0.19%	0.13%	0.15%	0.1%
50	0.24%	0.3%	0.17%	0.13%	0.15%	0.09%
49	0.21%	0.27%	0.16%	0.12%	0.14%	0.08%
48	0.19%	0.24%	0.14%	0.12%	0.14%	0.08%
47	0.17%	0.21%	0.12%	0.11%	0.12%	0.07%
46	0.15%	0.19%	0.11%	0.1%	0.11%	0.07%
45	0.14%	0.17%	0.1%	0.08%	0.09%	0.07%
44	0.12%	0.16%	0.09%	0.07%	0.08%	0.06%
43	0.11%	0.14%	0.08%	0.06%	0.06%	0.06%
42	0.1%	0.13%	0.07%	0.05%	0.05%	0.05%
41	0.09%	0.12%	0.07%	0.05%	0.05%	0.05%
40	0.09%	0.11%	0.06%	0.04%	0.04%	0.04%
39	0.08%	0.1%	0.06%	0.04%	0.04%	0.04%
38	0.07%	0.09%	0.05%	0.04%	0.04%	0.04%
37	0.07%	0.08%	0.05%	0.03%	0.04%	0.03%
36	0.06%	0.08%	0.04%	0.03%	0.03%	0.03%
35	0.06%	0.07%	0.04%	0.03%	0.03%	0.02%
34	0.05%	0.07%	0.04%	0.03%	0.03%	0.02%
33	0.05%	0.06%	0.03%	0.03%	0.03%	0.02%
32	0.05%	0.06%	0.03%	0.03%	0.03%	0.02%
31	0.04%	0.05%	0.03%	0.03%	0.03%	0.02%
30	0.04%	0.05%	0.03%	0.03%	0.03%	0.02%
29	0.04%	0.05%	0.02%	0.03%	0.03%	0.02%
28	0.03%	0.04%	0.02%	0.03%	0.03%	0.02%
27	0.03%	0.04%	0.02%	0.03%	0.03%	0.02%
26	0.03%	0.04%	0.02%	0.03%	0.03%	0.02%
25	0.03%	0.04%	0.02%	0.02%	0.03%	0.02%
24	0.03%	0.04%	0.02%	0.02%	0.03%	0.02%
23	0.03%	0.04%	0.02%	0.02%	0.03%	0.02%
22	0.03%	0.04%	0.01%	0.02%	0.03%	0.02%
21	0.03%	0.04%	0.01%	0.02%	0.03%	0.02%
20	0.03%	0.04%	0.02%	0.03%	0.03%	0.02%
19	0.03%	0.03%	0.02%	0.03%	0.04%	0.02%
18	0.02%	0.03%	0.01%	0.03%	0.04%	0.02%
17	0.02%	0.03%	0.01%	0.03%	0.04%	0.02%
16	0.02%	0.02%	0.01%	0.03%	0.03%	0.02%
15	0.01%	0.01%	0.01%	0.02%	0.03%	0.01%
14	0.009%	0.01%	0.009%	0.02%	0.03%	0.01%
13	0.008%	0.008%	0.008%	0.02%	0.02%	0.01%
12	0.007%	0.007%	0.007%	0.01%	0.02%	0.009%
11	0.006%	0.006%	0.006%	0.01%	0.01%	0.008%
10	0.006%	0.006%	0.005%	0.009%	0.01%	0.009%
9	0.006%	0.006%	0.005%	0.008%	0.008%	0.009%
8	0.006%	0.007%	0.005%	0.008%	0.006%	0.01%
7	0.006%	0.007%	0.005%	0.009%	0.006%	0.01%
6	0.007%	0.008%	0.006%	0.01%	0.006%	0.01%
5	0.008%	0.008%	0.007%	0.01%	0.008%	0.02%
4	0.008%	0.009%	0.008%	0.01%	0.01%	0.02%
3	0.009%	0.009%	0.008%	0.02%	0.02%	0.02%
2	0.01%	0.01%	0.009%	0.02%	0.02%	0.02%
1	0.03%	0.03%	0.02%	0.03%	0.04%	0.02%
0	0.26%	0.28%	0.24%	0.41%	0.47%	0.36%

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

The annual chance of dying is 0.26% in the birth year in Germany and 0.41% in Maldives, 0.04% vs 0.03% at age 30, 0.69% vs 0.44% at 60, and 4.06% vs 5.5% at 80.

Death rate by age in Germany vs Maldives

Chart Table

Germany

Male

Female

Maldives

Male

Female

1x

Age	Death rate
	Germany			Maldives
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	325	138.2	585
99	874	530	1,197	677	441	994
98	1,217	768	1,642	924	629	1,317
97	1,623	1,066	2,155	1,219	866	1,683
96	2,070	1,421	2,698	1,555	1,150	2,080
95	2,537	1,824	3,236	1,918	1,469	2,493
94	3,012	2,264	3,756	2,305	1,824	2,913
93	3,456	2,699	4,218	2,704	2,213	3,314
92	3,843	3,091	4,602	3,109	2,641	3,680
91	4,141	3,427	4,868	3,495	3,081	3,999
90	4,341	3,710	4,988	3,834	3,482	4,262
89	4,447	3,930	4,984	4,117	3,840	4,455
88	4,458	4,061	4,878	4,335	4,131	4,574
87	4,390	4,114	4,689	4,464	4,327	4,616
86	4,248	4,095	4,424	4,507	4,430	4,581
85	4,039	3,995	4,101	4,475	4,448	4,476
84	3,788	3,836	3,753	4,381	4,394	4,313
83	3,517	3,640	3,402	4,230	4,285	4,099
82	3,238	3,424	3,062	4,039	4,139	3,847
81	2,964	3,202	2,740	3,819	3,968	3,571
80	2,702	2,979	2,436	3,577	3,777	3,283
79	2,452	2,760	2,150	3,332	3,578	3,002
78	2,230	2,560	1,904	3,077	3,363	2,730
77	2,048	2,391	1,710	2,824	3,134	2,472
76	1,900	2,250	1,561	2,578	2,896	2,230
75	1,777	2,125	1,442	2,342	2,656	2,004
74	1,662	2,004	1,335	2,128	2,426	1,798
73	1,560	1,893	1,240	1,925	2,206	1,606
72	1,471	1,797	1,157	1,734	2,000	1,427
71	1,389	1,705	1,078	1,557	1,809	1,264
70	1,300	1,607	995	1,394	1,633	1,117
69	1,217	1,514	916	1,250	1,475	990
68	1,142	1,432	848	1,120	1,328	880
67	1,075	1,357	788	1,004	1,193	786
66	1,007	1,280	730	898	1,065	704
65	943	1,205	676	792	937	625
64	884	1,135	627	695	819	553
63	821	1,055	579	612	718	490
62	757	972	534	539	629	434
61	699	895	495	474	549	384
60	642	821	457	417	480	340
59	587	753	416	367	420	301
58	535	687	378	323	367	267.1
57	487	623	346	283.5	319	236
56	441	563	316	249	278.5	208.9
55	398	508	285.7	219.5	243.4	186
54	358	456	256.9	191.4	211	163.2
53	320	407	231.5	163.3	180.4	137.9
52	284.9	360	208.4	143.2	160.2	116.9
51	254.5	320	188	130.8	149.2	101.3
50	229.5	287.6	170.4	123.4	143.4	89.9
49	207	259.3	153.8	118.4	139.1	81.8
48	185.3	232.3	137.5	113.1	132.9	76.1
47	165.7	208.4	122.3	104.9	121.9	71.9
46	149.1	188.7	108.9	94.2	107	68.5
45	134.2	170.5	97.3	82.3	90.6	65.4
44	120.3	152.3	87.5	71.1	75.4	62.1
43	108.4	137.1	78.7	61.4	62.8	58.5
42	99.4	126.7	71	53.8	53.7	54.1
41	91.5	117.1	64.6	47.4	46.5	49.3
40	84.2	107.7	59.5	42.6	41.8	44.3
39	76.9	97.9	54.6	38.8	38.6	39.4
38	70.3	89.5	49.8	35.9	36.5	34.7
37	64.7	83.1	44.9	33.6	34.9	30.5
36	59.4	77	40.6	31.6	33.7	26.8
35	55	71.1	37.8	29.9	32.5	23.8
34	51	65.8	35.2	28.7	31.5	21.7
33	47.6	61.9	32.2	27.9	30.8	20.6
32	44.7	58.3	30	27.5	30.4	20.2
31	42	54	28.8	27.5	30.2	20.6
30	38.5	49.5	26.4	27.6	30.1	21.6
29	34.9	45.3	23.4	27.8	29.9	22.7
28	32.1	42.4	20.8	27.5	29.4	23.3
27	30	40.3	18.5	26.7	28.6	22.9
26	28.6	39.3	16.8	25.3	27.6	21.1
25	27.6	38.6	15.7	23.6	26.6	18.8
24	26.9	37.6	15.2	22.2	26	16.8
23	26.2	36.7	15	21.5	26	15.5
22	25.7	36.2	14.6	21.7	26.9	15.2
21	25.6	36	14.7	22.8	28.9	15.8
20	26.1	36	15.5	24.8	31.7	17
19	25.3	34.6	15.4	27.1	34.8	18.4
18	22.9	30.7	14.5	28.5	36.7	19.2
17	19.5	25.1	13.6	28.3	36.4	18.7
16	15.5	18.8	12.1	26	33.8	16.9
15	12	13.8	10.2	22.8	29.9	14.4
14	9.35	10.1	8.53	19.2	25.4	12
13	7.7	7.78	7.61	15.9	20.8	10.2
12	6.7	6.53	6.87	13	16.4	8.97
11	6.08	6.17	5.99	10.6	12.5	8.43
10	5.74	6.23	5.22	9.11	9.6	8.55
9	5.49	6.23	4.71	8.4	7.62	9.27
8	5.54	6.48	4.56	8.32	6.36	10.5
7	5.96	6.94	4.91	8.86	5.9	12.2
6	6.74	7.49	5.95	10	6.46	14
5	7.69	8.09	7.28	11.9	8.22	15.9
4	8.4	8.73	8.05	14.4	11.3	17.7
3	8.73	9.26	8.17	17.8	16.2	19.4
2	10.1	11	9.22	23	24.4	21.4
1	27.4	29.9	24.7	31.1	37.9	24.1
0	263.3	281	244.7	412	465	356

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 86 in Maldives. The median age of death is 85.1 in Germany and 83.8 in Maldives, 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 Maldives more than their death rates.

Life expectancy in other countries

+ -

1x