Life Expectancy in Germany vs Marshall Islands (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Marshall Islands

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.9	101.8	102
99	101	100.9	101.1	101	100.9	101
98	100.2	100.1	100.2	100.1	100	100.1
97	99.4	99.2	99.4	99.2	99	99.2
96	98.6	98.4	98.6	98.3	98.2	98.3
95	97.8	97.6	97.9	97.4	97.3	97.5
94	97	96.8	97.1	96.6	96.4	96.6
93	96.3	96	96.4	95.7	95.5	95.8
92	95.6	95.3	95.7	94.9	94.7	95
91	94.9	94.5	95	94	93.8	94.1
90	94.2	93.9	94.4	93.2	93	93.3
89	93.6	93.2	93.8	92.4	92.2	92.6
88	93	92.5	93.2	91.7	91.4	91.8
87	92.4	91.9	92.7	90.9	90.6	91
86	91.9	91.3	92.2	90.2	89.8	90.3
85	91.3	90.8	91.7	89.4	89	89.6
84	90.9	90.3	91.3	88.7	88.3	88.9
83	90.4	89.8	90.9	88	87.5	88.2
82	90	89.3	90.5	87.3	86.8	87.6
81	89.6	88.8	90.2	86.6	86.1	86.9
80	89.2	88.4	89.8	85.9	85.4	86.3
79	88.9	88	89.6	85.3	84.7	85.7
78	88.6	87.6	89.3	84.6	84.1	85.2
77	88.2	87.3	89	84	83.4	84.6
76	88	86.9	88.8	83.5	82.8	84.1
75	87.7	86.6	88.6	82.9	82.2	83.6
74	87.4	86.3	88.3	82.3	81.6	83.1
73	87.1	85.9	88.1	81.8	81	82.6
72	86.9	85.6	87.9	81.3	80.5	82.2
71	86.6	85.3	87.7	80.8	79.9	81.7
70	86.3	85	87.5	80.3	79.4	81.3
69	86.1	84.7	87.3	79.9	78.9	80.9
68	85.9	84.4	87.2	79.4	78.4	80.6
67	85.6	84.2	87	79	77.9	80.2
66	85.4	83.9	86.8	78.6	77.4	79.9
65	85.2	83.7	86.7	78.2	77	79.5
64	85	83.4	86.5	77.8	76.6	79.2
63	84.8	83.2	86.4	77.5	76.1	78.9
62	84.6	82.9	86.2	77.1	75.7	78.6
61	84.5	82.7	86.1	76.8	75.4	78.4
60	84.3	82.5	86	76.4	75	78.1
59	84.1	82.3	85.9	76.1	74.6	77.8
58	84	82.2	85.8	75.8	74.3	77.6
57	83.9	82	85.7	75.5	74	77.3
56	83.7	81.9	85.6	75.3	73.7	77.1
55	83.6	81.7	85.5	75	73.4	76.9
54	83.5	81.6	85.4	74.7	73.1	76.6
53	83.4	81.5	85.3	74.5	72.8	76.4
52	83.3	81.4	85.3	74.3	72.6	76.2
51	83.2	81.3	85.2	74	72.3	76
50	83.2	81.2	85.1	73.8	72.1	75.8
49	83.1	81.1	85.1	73.6	71.9	75.7
48	83	81	85	73.4	71.7	75.5
47	83	80.9	85	73.2	71.5	75.3
46	82.9	80.9	84.9	73.1	71.3	75.2
45	82.9	80.8	84.9	72.9	71.1	75
44	82.8	80.7	84.9	72.7	70.9	74.8
43	82.8	80.7	84.8	72.6	70.7	74.7
42	82.7	80.6	84.8	72.4	70.6	74.6
41	82.7	80.6	84.8	72.3	70.4	74.4
40	82.7	80.6	84.7	72.2	70.3	74.3
39	82.6	80.5	84.7	72	70.2	74.2
38	82.6	80.5	84.7	71.9	70	74
37	82.6	80.4	84.7	71.8	69.9	73.9
36	82.5	80.4	84.6	71.7	69.8	73.8
35	82.5	80.4	84.6	71.5	69.7	73.7
34	82.5	80.3	84.6	71.4	69.5	73.6
33	82.5	80.3	84.6	71.3	69.4	73.5
32	82.4	80.3	84.6	71.2	69.3	73.4
31	82.4	80.3	84.6	71.1	69.2	73.3
30	82.4	80.2	84.5	71	69.1	73.2
29	82.4	80.2	84.5	70.9	69	73.1
28	82.4	80.2	84.5	70.8	68.9	73
27	82.3	80.2	84.5	70.7	68.8	72.9
26	82.3	80.1	84.5	70.6	68.7	72.8
25	82.3	80.1	84.5	70.5	68.6	72.7
24	82.3	80.1	84.5	70.4	68.5	72.6
23	82.3	80.1	84.5	70.3	68.4	72.5
22	82.3	80.1	84.5	70.2	68.2	72.4
21	82.2	80	84.5	70.1	68.1	72.3
20	82.2	80	84.4	70	68	72.2
19	82.2	80	84.4	69.9	67.9	72.1
18	82.2	80	84.4	69.8	67.8	72
17	82.2	80	84.4	69.7	67.7	72
16	82.2	80	84.4	69.6	67.7	71.9
15	82.2	79.9	84.4	69.6	67.6	71.8
14	82.2	79.9	84.4	69.5	67.6	71.8
13	82.2	79.9	84.4	69.5	67.5	71.7
12	82.2	79.9	84.4	69.4	67.5	71.7
11	82.2	79.9	84.4	69.4	67.5	71.6
10	82.1	79.9	84.4	69.4	67.4	71.6
9	82.1	79.9	84.4	69.3	67.4	71.6
8	82.1	79.9	84.4	69.3	67.4	71.5
7	82.1	79.9	84.4	69.2	67.3	71.5
6	82.1	79.9	84.4	69.2	67.3	71.4
5	82.1	79.9	84.4	69.1	67.2	71.4
4	82.1	79.9	84.4	69.1	67.2	71.3
3	82.1	79.9	84.3	69.1	67.1	71.3
2	82.1	79.9	84.3	69	67	71.2
1	82.1	79.8	84.3	68.8	66.8	71
0	81.9	79.6	84.1	67.3	65.2	69.8

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 71 in the Marshall Islands, rising to 85.2 and 78.2 at 65, and to 89.2 and 85.9 at 80 — higher than the 81.9 and 67.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Marshall Islands

Male

Female

1x

Age	Survival probability
	Germany			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.12%	0.06%	0.2%
99	2.44%	1.4%	3.4%	0.2%	0.09%	0.33%
98	3.66%	2.17%	5.04%	0.32%	0.15%	0.51%
97	5.28%	3.24%	7.19%	0.48%	0.24%	0.77%
96	7.35%	4.66%	9.89%	0.72%	0.37%	1.14%
95	9.89%	6.48%	13.1%	1.05%	0.56%	1.63%
94	12.9%	8.74%	16.9%	1.49%	0.82%	2.29%
93	16.4%	11.4%	21.1%	2.07%	1.17%	3.13%
92	20.2%	14.5%	25.7%	2.81%	1.63%	4.18%
91	24.3%	18%	30.6%	3.71%	2.22%	5.46%
90	28.7%	21.7%	35.6%	4.8%	2.96%	7%
89	33.1%	25.6%	40.5%	6.11%	3.88%	8.79%
88	37.6%	29.7%	45.4%	7.61%	4.98%	10.8%
87	42%	33.8%	50.1%	9.3%	6.28%	13.1%
86	46.2%	37.9%	54.5%	11.2%	7.79%	15.7%
85	50.3%	41.9%	58.6%	13.4%	9.49%	18.4%
84	54%	45.7%	62.4%	15.7%	11.4%	21.3%
83	57.6%	49.3%	65.8%	18.2%	13.5%	24.4%
82	60.8%	52.8%	68.9%	20.9%	15.7%	27.6%
81	63.8%	56%	71.6%	23.7%	18.2%	30.8%
80	66.5%	58.9%	74%	26.7%	20.7%	34%
79	68.9%	61.7%	76.2%	29.6%	23.4%	37.3%
78	71.2%	64.3%	78.1%	32.6%	26.2%	40.5%
77	73.2%	66.7%	79.8%	35.6%	29%	43.6%
76	75.1%	68.9%	81.4%	38.6%	31.9%	46.6%
75	76.9%	71%	82.8%	41.5%	34.8%	49.6%
74	78.5%	73%	84.1%	44.4%	37.7%	52.4%
73	80.1%	74.9%	85.4%	47.3%	40.6%	55%
72	81.6%	76.7%	86.5%	50%	43.5%	57.6%
71	83%	78.4%	87.6%	52.7%	46.3%	60%
70	84.3%	80%	88.6%	55.2%	49%	62.2%
69	85.5%	81.6%	89.5%	57.6%	51.7%	64.4%
68	86.6%	83%	90.4%	59.9%	54.2%	66.3%
67	87.7%	84.3%	91.2%	62.2%	56.7%	68.2%
66	88.7%	85.6%	91.9%	64.3%	59.1%	70%
65	89.6%	86.8%	92.6%	66.3%	61.4%	71.6%
64	90.5%	88%	93.2%	68.2%	63.7%	73.1%
63	91.3%	89%	93.8%	70%	65.7%	74.5%
62	92.1%	90%	94.3%	71.6%	67.7%	75.9%
61	92.8%	90.9%	94.8%	73.2%	69.6%	77.1%
60	93.4%	91.7%	95.2%	74.7%	71.4%	78.3%
59	94%	92.5%	95.7%	76.1%	73%	79.5%
58	94.6%	93.1%	96%	77.5%	74.6%	80.5%
57	95.1%	93.8%	96.4%	78.7%	76%	81.5%
56	95.5%	94.3%	96.7%	79.9%	77.4%	82.5%
55	95.9%	94.8%	97%	81%	78.7%	83.3%
54	96.3%	95.3%	97.2%	82%	79.9%	84.2%
53	96.6%	95.7%	97.5%	82.9%	81%	84.9%
52	96.9%	96.1%	97.7%	83.8%	82%	85.7%
51	97.1%	96.4%	97.9%	84.6%	83%	86.3%
50	97.3%	96.7%	98%	85.4%	83.9%	87%
49	97.5%	96.9%	98.2%	86.1%	84.7%	87.6%
48	97.7%	97.2%	98.3%	86.8%	85.5%	88.2%
47	97.9%	97.4%	98.5%	87.4%	86.2%	88.7%
46	98%	97.6%	98.6%	88%	86.9%	89.2%
45	98.2%	97.7%	98.7%	88.6%	87.5%	89.7%
44	98.3%	97.9%	98.8%	89.1%	88.1%	90.1%
43	98.4%	98%	98.8%	89.6%	88.6%	90.5%
42	98.5%	98.1%	98.9%	90%	89.1%	90.9%
41	98.6%	98.3%	99%	90.4%	89.6%	91.3%
40	98.7%	98.4%	99%	90.8%	90%	91.7%
39	98.8%	98.5%	99.1%	91.2%	90.4%	92%
38	98.8%	98.6%	99.1%	91.5%	90.8%	92.3%
37	98.9%	98.6%	99.2%	91.8%	91.1%	92.6%
36	99%	98.7%	99.2%	92.2%	91.5%	92.9%
35	99%	98.8%	99.3%	92.5%	91.8%	93.2%
34	99.1%	98.9%	99.3%	92.7%	92.1%	93.4%
33	99.1%	98.9%	99.3%	93%	92.4%	93.7%
32	99.2%	99%	99.4%	93.3%	92.6%	93.9%
31	99.2%	99%	99.4%	93.5%	92.9%	94.2%
30	99.2%	99.1%	99.4%	93.7%	93.2%	94.4%
29	99.3%	99.1%	99.4%	94%	93.4%	94.6%
28	99.3%	99.2%	99.5%	94.2%	93.7%	94.8%
27	99.3%	99.2%	99.5%	94.4%	93.9%	95%
26	99.4%	99.2%	99.5%	94.6%	94.1%	95.2%
25	99.4%	99.3%	99.5%	94.9%	94.4%	95.4%
24	99.4%	99.3%	99.5%	95.1%	94.6%	95.6%
23	99.4%	99.4%	99.5%	95.3%	94.9%	95.7%
22	99.5%	99.4%	99.5%	95.5%	95.1%	95.9%
21	99.5%	99.4%	99.6%	95.7%	95.3%	96.1%
20	99.5%	99.5%	99.6%	95.9%	95.6%	96.3%
19	99.5%	99.5%	99.6%	96.1%	95.8%	96.5%
18	99.6%	99.5%	99.6%	96.3%	96%	96.6%
17	99.6%	99.6%	99.6%	96.4%	96.1%	96.8%
16	99.6%	99.6%	99.6%	96.6%	96.2%	96.9%
15	99.6%	99.6%	99.6%	96.7%	96.3%	97%
14	99.6%	99.6%	99.7%	96.8%	96.4%	97.1%
13	99.6%	99.6%	99.7%	96.8%	96.5%	97.2%
12	99.6%	99.6%	99.7%	96.9%	96.6%	97.2%
11	99.6%	99.6%	99.7%	96.9%	96.6%	97.3%
10	99.7%	99.6%	99.7%	97%	96.7%	97.4%
9	99.7%	99.6%	99.7%	97.1%	96.7%	97.4%
8	99.7%	99.6%	99.7%	97.1%	96.8%	97.5%
7	99.7%	99.6%	99.7%	97.2%	96.8%	97.6%
6	99.7%	99.7%	99.7%	97.3%	96.9%	97.6%
5	99.7%	99.7%	99.7%	97.4%	97%	97.7%
4	99.7%	99.7%	99.7%	97.4%	97%	97.8%
3	99.7%	99.7%	99.7%	97.4%	97.1%	97.8%
2	99.7%	99.7%	99.7%	97.6%	97.3%	97.9%
1	99.7%	99.7%	99.8%	97.9%	97.6%	98.2%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 74.7% in the Marshall Islands are expected to live past 60, 84.3% and 55.2% past 70, 66.5% and 26.7% past 80, and only 28.7% and 4.8% 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

Marshall Islands

Male

Female

1x

Age	Probability of dying
	Germany			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	40%	42%	39.7%
99	35.8%	37.9%	35.2%	38.3%	40.2%	37.8%
98	33.3%	35.4%	32.6%	36.4%	38.5%	36%
97	30.7%	32.9%	30%	34.7%	36.8%	34.1%
96	28.2%	30.5%	27.3%	33%	35.1%	32.2%
95	25.7%	28.2%	24.7%	31.2%	33.4%	30.4%
94	23.3%	25.9%	22.2%	29.6%	31.6%	28.6%
93	21.1%	23.6%	20%	27.9%	29.9%	26.8%
92	19%	21.3%	17.9%	26.1%	28.3%	25.1%
91	17%	19.1%	15.9%	24.3%	26.7%	23.5%
90	15.1%	17.1%	14%	22.8%	25.1%	21.9%
89	13.4%	15.4%	12.3%	21.3%	23.6%	20.4%
88	11.9%	13.7%	10.7%	19.7%	22.1%	18.9%
87	10.5%	12.2%	9.36%	18.3%	20.7%	17.5%
86	9.19%	10.8%	8.11%	17.1%	19.3%	16.2%
85	8.04%	9.54%	6.99%	16%	18%	14.9%
84	7.01%	8.39%	6.01%	14.9%	16.7%	13.7%
83	6.11%	7.38%	5.17%	13.8%	15.5%	12.5%
82	5.32%	6.49%	4.45%	12.9%	14.4%	11.5%
81	4.65%	5.72%	3.83%	11.9%	13.3%	10.5%
80	4.06%	5.05%	3.29%	11%	12.3%	9.55%
79	3.56%	4.47%	2.82%	9.98%	11.4%	8.7%
78	3.13%	3.98%	2.44%	9.2%	10.6%	7.91%
77	2.8%	3.59%	2.14%	8.48%	9.8%	7.18%
76	2.53%	3.26%	1.92%	7.7%	9.06%	6.52%
75	2.31%	2.99%	1.74%	7.06%	8.37%	5.91%
74	2.12%	2.74%	1.59%	6.53%	7.72%	5.35%
73	1.95%	2.53%	1.45%	6.01%	7.11%	4.85%
72	1.8%	2.34%	1.34%	5.52%	6.56%	4.4%
71	1.67%	2.17%	1.23%	5.04%	6.05%	3.99%
70	1.54%	2.01%	1.12%	4.57%	5.58%	3.63%
69	1.42%	1.86%	1.02%	4.17%	5.15%	3.3%
68	1.32%	1.73%	0.94%	3.88%	4.76%	3%
67	1.23%	1.61%	0.86%	3.6%	4.4%	2.73%
66	1.14%	1.49%	0.79%	3.29%	4.06%	2.49%
65	1.05%	1.39%	0.73%	3%	3.75%	2.28%
64	0.98%	1.29%	0.67%	2.77%	3.46%	2.09%
63	0.9%	1.19%	0.62%	2.55%	3.19%	1.92%
62	0.82%	1.08%	0.57%	2.34%	2.93%	1.77%
61	0.75%	0.98%	0.52%	2.17%	2.7%	1.64%
60	0.69%	0.89%	0.48%	2.01%	2.47%	1.52%
59	0.62%	0.81%	0.44%	1.86%	2.27%	1.42%
58	0.57%	0.74%	0.39%	1.71%	2.08%	1.32%
57	0.51%	0.66%	0.36%	1.58%	1.91%	1.22%
56	0.46%	0.6%	0.33%	1.46%	1.76%	1.14%
55	0.42%	0.54%	0.29%	1.34%	1.62%	1.05%
54	0.37%	0.48%	0.26%	1.23%	1.49%	0.98%
53	0.33%	0.43%	0.24%	1.14%	1.37%	0.91%
52	0.29%	0.38%	0.21%	1.06%	1.27%	0.85%
51	0.26%	0.33%	0.19%	0.99%	1.17%	0.79%
50	0.24%	0.3%	0.17%	0.91%	1.07%	0.74%
49	0.21%	0.27%	0.16%	0.84%	0.99%	0.69%
48	0.19%	0.24%	0.14%	0.78%	0.91%	0.65%
47	0.17%	0.21%	0.12%	0.72%	0.83%	0.61%
46	0.15%	0.19%	0.11%	0.67%	0.77%	0.57%
45	0.14%	0.17%	0.1%	0.61%	0.7%	0.53%
44	0.12%	0.16%	0.09%	0.57%	0.65%	0.49%
43	0.11%	0.14%	0.08%	0.53%	0.6%	0.46%
42	0.1%	0.13%	0.07%	0.49%	0.55%	0.43%
41	0.09%	0.12%	0.07%	0.46%	0.51%	0.41%
40	0.09%	0.11%	0.06%	0.43%	0.48%	0.39%
39	0.08%	0.1%	0.06%	0.41%	0.45%	0.37%
38	0.07%	0.09%	0.05%	0.38%	0.42%	0.35%
37	0.07%	0.08%	0.05%	0.36%	0.39%	0.33%
36	0.06%	0.08%	0.04%	0.34%	0.37%	0.31%
35	0.06%	0.07%	0.04%	0.32%	0.35%	0.29%
34	0.05%	0.07%	0.04%	0.3%	0.33%	0.28%
33	0.05%	0.06%	0.03%	0.29%	0.31%	0.26%
32	0.05%	0.06%	0.03%	0.27%	0.3%	0.25%
31	0.04%	0.05%	0.03%	0.26%	0.29%	0.24%
30	0.04%	0.05%	0.03%	0.26%	0.28%	0.24%
29	0.04%	0.05%	0.02%	0.25%	0.27%	0.23%
28	0.03%	0.04%	0.02%	0.24%	0.26%	0.22%
27	0.03%	0.04%	0.02%	0.24%	0.26%	0.21%
26	0.03%	0.04%	0.02%	0.23%	0.25%	0.2%
25	0.03%	0.04%	0.02%	0.23%	0.25%	0.2%
24	0.03%	0.04%	0.02%	0.22%	0.25%	0.19%
23	0.03%	0.04%	0.02%	0.22%	0.25%	0.19%
22	0.03%	0.04%	0.01%	0.22%	0.25%	0.19%
21	0.03%	0.04%	0.01%	0.22%	0.25%	0.19%
20	0.03%	0.04%	0.02%	0.21%	0.24%	0.19%
19	0.03%	0.03%	0.02%	0.2%	0.22%	0.18%
18	0.02%	0.03%	0.01%	0.18%	0.2%	0.17%
17	0.02%	0.03%	0.01%	0.16%	0.17%	0.15%
16	0.02%	0.02%	0.01%	0.13%	0.13%	0.13%
15	0.01%	0.01%	0.01%	0.11%	0.11%	0.11%
14	0.009%	0.01%	0.009%	0.09%	0.08%	0.09%
13	0.008%	0.008%	0.008%	0.07%	0.07%	0.08%
12	0.007%	0.007%	0.007%	0.06%	0.06%	0.07%
11	0.006%	0.006%	0.006%	0.06%	0.06%	0.06%
10	0.006%	0.006%	0.005%	0.06%	0.05%	0.06%
9	0.006%	0.006%	0.005%	0.06%	0.06%	0.06%
8	0.006%	0.007%	0.005%	0.07%	0.06%	0.07%
7	0.006%	0.007%	0.005%	0.07%	0.07%	0.07%
6	0.007%	0.008%	0.006%	0.08%	0.08%	0.08%
5	0.008%	0.008%	0.007%	0.09%	0.09%	0.09%
4	0.008%	0.009%	0.008%	0.03%	0.03%	0.03%
3	0.009%	0.009%	0.008%	0.06%	0.07%	0.05%
2	0.01%	0.01%	0.009%	0.15%	0.17%	0.14%
1	0.03%	0.03%	0.02%	0.31%	0.33%	0.28%
0	0.26%	0.28%	0.24%	2.1%	2.41%	1.78%

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

The annual chance of dying is 0.26% in the birth year in Germany and 2.1% in the Marshall Islands, 0.04% vs 0.26% at age 30, 0.69% vs 2.01% at 60, and 4.06% vs 11% at 80.

Death rate by age in Germany vs Marshall Islands

Chart Table

Germany

Male

Female

Marshall Islands

Male

Female

1x

Age	Death rate
	Germany			Marshall Islands
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	7
99	874	530	1,197	77.2	37.7	123.1
98	1,217	768	1,642	115.1	58.8	182.7
97	1,623	1,066	2,155	168.1	88.9	262.8
96	2,070	1,421	2,698	239.1	130.6	367
95	2,537	1,824	3,236	329	186.3	497
94	3,012	2,264	3,756	442	258.4	655
93	3,456	2,699	4,218	579	349	840
92	3,843	3,091	4,602	732	460	1,051
91	4,141	3,427	4,868	902	591	1,284
90	4,341	3,710	4,988	1,094	744	1,534
89	4,447	3,930	4,984	1,303	915	1,793
88	4,458	4,061	4,878	1,500	1,103	2,052
87	4,390	4,114	4,689	1,698	1,301	2,303
86	4,248	4,095	4,424	1,913	1,505	2,536
85	4,039	3,995	4,101	2,138	1,707	2,743
84	3,788	3,836	3,753	2,332	1,903	2,918
83	3,517	3,640	3,402	2,514	2,089	3,057
82	3,238	3,424	3,062	2,692	2,261	3,159
81	2,964	3,202	2,740	2,834	2,418	3,223
80	2,702	2,979	2,436	2,924	2,557	3,249
79	2,452	2,760	2,150	2,955	2,676	3,241
78	2,230	2,560	1,904	3,000	2,772	3,201
77	2,048	2,391	1,710	3,019	2,844	3,132
76	1,900	2,250	1,561	2,971	2,891	3,039
75	1,777	2,125	1,442	2,932	2,912	2,928
74	1,662	2,004	1,335	2,899	2,911	2,803
73	1,560	1,893	1,240	2,841	2,890	2,671
72	1,471	1,797	1,157	2,764	2,851	2,533
71	1,389	1,705	1,078	2,658	2,799	2,395
70	1,300	1,607	995	2,523	2,736	2,258
69	1,217	1,514	916	2,405	2,663	2,123
68	1,142	1,432	848	2,325	2,582	1,992
67	1,075	1,357	788	2,239	2,495	1,865
66	1,007	1,280	730	2,116	2,403	1,744
65	943	1,205	676	1,992	2,305	1,630
64	884	1,135	627	1,891	2,203	1,525
63	821	1,055	579	1,783	2,097	1,429
62	757	972	534	1,680	1,987	1,343
61	699	895	495	1,587	1,877	1,265
60	642	821	457	1,504	1,767	1,193
59	587	753	416	1,414	1,658	1,126
58	535	687	378	1,322	1,555	1,061
57	487	623	346	1,242	1,456	998
56	441	563	316	1,164	1,362	936
55	398	508	285.7	1,087	1,274	877
54	358	456	256.9	1,009	1,191	821
53	320	407	231.5	942	1,113	770
52	284.9	360	208.4	887	1,038	724
51	254.5	320	188	834	967	682
50	229.5	287.6	170.4	779	899	644
49	207	259.3	153.8	724	835	608
48	185.3	232.3	137.5	674	775	574
47	165.7	208.4	122.3	629	718	539
46	149.1	188.7	108.9	585	665	506
45	134.2	170.5	97.3	545	616	473
44	120.3	152.3	87.5	507	571	443
43	108.4	137.1	78.7	473	530	416
42	99.4	126.7	71	443	494	392
41	91.5	117.1	64.6	416	460	372
40	84.2	107.7	59.5	392	430	353
39	76.9	97.9	54.6	370	403	337
38	70.3	89.5	49.8	349	379	321
37	64.7	83.1	44.9	330	356	305
36	59.4	77	40.6	312	336	289
35	55	71.1	37.8	294.9	318	273.7
34	51	65.8	35.2	279.2	301	259.7
33	47.6	61.9	32.2	265.7	287.2	247.4
32	44.7	58.3	30	254.9	275.1	237.2
31	42	54	28.8	246.4	264.9	228.9
30	38.5	49.5	26.4	239.2	256.6	221.9
29	34.9	45.3	23.4	233.4	250.1	215.4
28	32.1	42.4	20.8	227.9	245	208.7
27	30	40.3	18.5	222.6	241.4	201.5
26	28.6	39.3	16.8	218.1	239	194.1
25	27.6	38.6	15.7	214.6	237.8	187.1
24	26.9	37.6	15.2	212.4	237.8	181.7
23	26.2	36.7	15	211.2	238.3	178.6
22	25.7	36.2	14.6	210	238.3	177.9
21	25.6	36	14.7	208.7	235.8	178.7
20	26.1	36	15.5	204.7	227.9	178.6
19	25.3	34.6	15.4	195.1	212.5	175
18	22.9	30.7	14.5	178	189	165.4
17	19.5	25.1	13.6	154.6	159.5	149
16	15.5	18.8	12.1	128.9	129.2	128.6
15	12	13.8	10.2	104.8	102.2	107.6
14	9.35	10.1	8.53	85.3	81.2	89.5
13	7.7	7.78	7.61	71.3	66.7	76.1
12	6.7	6.53	6.87	62.3	57.7	67.2
11	6.08	6.17	5.99	57.9	53.3	62.7
10	5.74	6.23	5.22	57	52.6	61.6
9	5.49	6.23	4.71	59.1	55	63.3
8	5.54	6.48	4.56	63.6	60.2	67.1
7	5.96	6.94	4.91	70	67.7	72.4
6	6.74	7.49	5.95	78	77.4	78.7
5	7.69	8.09	7.28	87.3	89.2	85.3
4	8.4	8.73	8.05	32.5	33.5	31.4
3	8.73	9.26	8.17	58.2	63.4	52.7
2	10.1	11	9.22	147.2	160.7	132.8
1	27.4	29.9	24.7	299.2	325	271.2
0	263.3	281	244.7	2,105	2,408	1,781

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 77 in the Marshall Islands. The median age of death is 85.1 in Germany and 72 in the Marshall Islands, 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 Marshall Islands more than their death rates.

Life expectancy in other countries

+ -

1x