Life Expectancy in Germany vs Tuvalu (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Tuvalu

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Tuvalu
	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	100.1	100	100.2
97	99.4	99.2	99.4	99.2	99.1	99.3
96	98.6	98.4	98.6	98.3	98.2	98.4
95	97.8	97.6	97.9	97.5	97.3	97.6
94	97	96.8	97.1	96.6	96.5	96.7
93	96.3	96	96.4	95.8	95.6	95.9
92	95.6	95.3	95.7	94.9	94.7	95.1
91	94.9	94.5	95	94.1	93.9	94.3
90	94.2	93.9	94.4	93.3	93.1	93.5
89	93.6	93.2	93.8	92.6	92.3	92.7
88	93	92.5	93.2	91.8	91.5	92
87	92.4	91.9	92.7	91	90.7	91.2
86	91.9	91.3	92.2	90.3	89.9	90.5
85	91.3	90.8	91.7	89.6	89.1	89.8
84	90.9	90.3	91.3	88.9	88.4	89.2
83	90.4	89.8	90.9	88.2	87.6	88.5
82	90	89.3	90.5	87.5	86.9	87.9
81	89.6	88.8	90.2	86.9	86.2	87.3
80	89.2	88.4	89.8	86.2	85.5	86.7
79	88.9	88	89.6	85.6	84.8	86.1
78	88.6	87.6	89.3	85	84.1	85.6
77	88.2	87.3	89	84.4	83.5	85
76	88	86.9	88.8	83.9	82.8	84.5
75	87.7	86.6	88.6	83.3	82.2	84.1
74	87.4	86.3	88.3	82.8	81.6	83.6
73	87.1	85.9	88.1	82.3	81	83.2
72	86.9	85.6	87.9	81.8	80.4	82.7
71	86.6	85.3	87.7	81.3	79.9	82.3
70	86.3	85	87.5	80.9	79.3	81.9
69	86.1	84.7	87.3	80.4	78.8	81.6
68	85.9	84.4	87.2	80	78.3	81.2
67	85.6	84.2	87	79.5	77.8	80.9
66	85.4	83.9	86.8	79.1	77.3	80.5
65	85.2	83.7	86.7	78.7	76.8	80.2
64	85	83.4	86.5	78.3	76.3	79.9
63	84.8	83.2	86.4	78	75.9	79.6
62	84.6	82.9	86.2	77.6	75.4	79.3
61	84.5	82.7	86.1	77.3	75	79.1
60	84.3	82.5	86	76.9	74.6	78.8
59	84.1	82.3	85.9	76.6	74.2	78.5
58	84	82.2	85.8	76.3	73.8	78.3
57	83.9	82	85.7	75.9	73.5	78
56	83.7	81.9	85.6	75.6	73.1	77.8
55	83.6	81.7	85.5	75.3	72.8	77.6
54	83.5	81.6	85.4	75	72.5	77.4
53	83.4	81.5	85.3	74.8	72.2	77.2
52	83.3	81.4	85.3	74.5	71.9	77
51	83.2	81.3	85.2	74.3	71.6	76.8
50	83.2	81.2	85.1	74	71.3	76.6
49	83.1	81.1	85.1	73.8	71	76.4
48	83	81	85	73.5	70.8	76.2
47	83	80.9	85	73.3	70.5	76.1
46	82.9	80.9	84.9	73.1	70.3	75.9
45	82.9	80.8	84.9	72.9	70.1	75.8
44	82.8	80.7	84.9	72.7	69.9	75.6
43	82.8	80.7	84.8	72.6	69.7	75.5
42	82.7	80.6	84.8	72.4	69.5	75.4
41	82.7	80.6	84.8	72.2	69.3	75.2
40	82.7	80.6	84.7	72.1	69.1	75.1
39	82.6	80.5	84.7	71.9	68.9	75
38	82.6	80.5	84.7	71.8	68.8	74.9
37	82.6	80.4	84.7	71.6	68.6	74.7
36	82.5	80.4	84.6	71.5	68.4	74.6
35	82.5	80.4	84.6	71.4	68.3	74.5
34	82.5	80.3	84.6	71.2	68.2	74.4
33	82.5	80.3	84.6	71.1	68	74.3
32	82.4	80.3	84.6	71	67.9	74.2
31	82.4	80.3	84.6	70.9	67.7	74.1
30	82.4	80.2	84.5	70.7	67.6	74
29	82.4	80.2	84.5	70.6	67.5	73.9
28	82.4	80.2	84.5	70.5	67.3	73.8
27	82.3	80.2	84.5	70.4	67.2	73.8
26	82.3	80.1	84.5	70.3	67.1	73.7
25	82.3	80.1	84.5	70.2	67	73.6
24	82.3	80.1	84.5	70.1	66.8	73.5
23	82.3	80.1	84.5	69.9	66.7	73.4
22	82.3	80.1	84.5	69.8	66.6	73.3
21	82.2	80	84.5	69.7	66.4	73.2
20	82.2	80	84.4	69.6	66.3	73.1
19	82.2	80	84.4	69.5	66.2	73
18	82.2	80	84.4	69.4	66.1	72.9
17	82.2	80	84.4	69.3	66	72.9
16	82.2	80	84.4	69.2	65.9	72.8
15	82.2	79.9	84.4	69.2	65.9	72.7
14	82.2	79.9	84.4	69.1	65.8	72.7
13	82.2	79.9	84.4	69.1	65.8	72.6
12	82.2	79.9	84.4	69.1	65.8	72.6
11	82.2	79.9	84.4	69	65.8	72.6
10	82.1	79.9	84.4	69	65.7	72.5
9	82.1	79.9	84.4	69	65.7	72.5
8	82.1	79.9	84.4	69	65.7	72.5
7	82.1	79.9	84.4	68.9	65.6	72.4
6	82.1	79.9	84.4	68.9	65.6	72.4
5	82.1	79.9	84.4	68.8	65.6	72.3
4	82.1	79.9	84.4	68.8	65.5	72.3
3	82.1	79.9	84.3	68.8	65.5	72.3
2	82.1	79.9	84.3	68.7	65.4	72.2
1	82.1	79.8	84.3	68.6	65.3	72.1
0	81.9	79.6	84.1	67.6	64.2	71.2

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 70.7 in Tuvalu, rising to 85.2 and 78.7 at 65, and to 89.2 and 86.2 at 80 — higher than the 81.9 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Tuvalu

Male

Female

1x

Age	Survival probability
	Germany			Tuvalu
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.16%	0.06%	0.29%
99	2.44%	1.4%	3.4%	0.26%	0.1%	0.46%
98	3.66%	2.17%	5.04%	0.4%	0.16%	0.71%
97	5.28%	3.24%	7.19%	0.61%	0.25%	1.06%
96	7.35%	4.66%	9.89%	0.91%	0.38%	1.55%
95	9.89%	6.48%	13.1%	1.31%	0.56%	2.19%
94	12.9%	8.74%	16.9%	1.85%	0.81%	3.02%
93	16.4%	11.4%	21.1%	2.53%	1.14%	4.06%
92	20.2%	14.5%	25.7%	3.38%	1.58%	5.35%
91	24.3%	18%	30.6%	4.42%	2.13%	6.89%
90	28.7%	21.7%	35.6%	5.66%	2.81%	8.7%
89	33.1%	25.6%	40.5%	7.1%	3.64%	10.8%
88	37.6%	29.7%	45.4%	8.75%	4.63%	13.1%
87	42%	33.8%	50.1%	10.6%	5.8%	15.7%
86	46.2%	37.9%	54.5%	12.7%	7.13%	18.4%
85	50.3%	41.9%	58.6%	14.9%	8.65%	21.4%
84	54%	45.7%	62.4%	17.3%	10.3%	24.5%
83	57.6%	49.3%	65.8%	19.8%	12.2%	27.7%
82	60.8%	52.8%	68.9%	22.5%	14.2%	31%
81	63.8%	56%	71.6%	25.2%	16.4%	34.2%
80	66.5%	58.9%	74%	28%	18.7%	37.5%
79	68.9%	61.7%	76.2%	30.9%	21.1%	40.7%
78	71.2%	64.3%	78.1%	33.8%	23.6%	43.9%
77	73.2%	66.7%	79.8%	36.6%	26.2%	46.9%
76	75.1%	68.9%	81.4%	39.4%	28.8%	49.9%
75	76.9%	71%	82.8%	42.2%	31.5%	52.7%
74	78.5%	73%	84.1%	44.8%	34.2%	55.3%
73	80.1%	74.9%	85.4%	47.3%	36.9%	57.9%
72	81.6%	76.7%	86.5%	49.8%	39.6%	60.2%
71	83%	78.4%	87.6%	52.2%	42.3%	62.5%
70	84.3%	80%	88.6%	54.6%	44.9%	64.6%
69	85.5%	81.6%	89.5%	56.9%	47.5%	66.6%
68	86.6%	83%	90.4%	59.1%	50%	68.5%
67	87.7%	84.3%	91.2%	61.1%	52.5%	70.3%
66	88.7%	85.6%	91.9%	63.1%	54.9%	71.9%
65	89.6%	86.8%	92.6%	65%	57.2%	73.5%
64	90.5%	88%	93.2%	66.8%	59.5%	74.9%
63	91.3%	89%	93.8%	68.5%	61.7%	76.3%
62	92.1%	90%	94.3%	70.1%	63.8%	77.6%
61	92.8%	90.9%	94.8%	71.7%	65.8%	78.8%
60	93.4%	91.7%	95.2%	73.2%	67.6%	79.9%
59	94%	92.5%	95.7%	74.6%	69.4%	81%
58	94.6%	93.1%	96%	76%	71.1%	82%
57	95.1%	93.8%	96.4%	77.3%	72.7%	83%
56	95.5%	94.3%	96.7%	78.6%	74.3%	83.9%
55	95.9%	94.8%	97%	79.8%	75.7%	84.7%
54	96.3%	95.3%	97.2%	81%	77.1%	85.5%
53	96.6%	95.7%	97.5%	82%	78.3%	86.3%
52	96.9%	96.1%	97.7%	83%	79.6%	87%
51	97.1%	96.4%	97.9%	83.9%	80.7%	87.6%
50	97.3%	96.7%	98%	84.7%	81.8%	88.2%
49	97.5%	96.9%	98.2%	85.6%	82.8%	88.8%
48	97.7%	97.2%	98.3%	86.3%	83.7%	89.4%
47	97.9%	97.4%	98.5%	87%	84.6%	89.9%
46	98%	97.6%	98.6%	87.7%	85.4%	90.4%
45	98.2%	97.7%	98.7%	88.3%	86.2%	90.8%
44	98.3%	97.9%	98.8%	88.9%	86.9%	91.3%
43	98.4%	98%	98.8%	89.5%	87.6%	91.7%
42	98.5%	98.1%	98.9%	90%	88.2%	92%
41	98.6%	98.3%	99%	90.5%	88.8%	92.4%
40	98.7%	98.4%	99%	90.9%	89.4%	92.7%
39	98.8%	98.5%	99.1%	91.4%	89.9%	93%
38	98.8%	98.6%	99.1%	91.8%	90.4%	93.3%
37	98.9%	98.6%	99.2%	92.2%	90.9%	93.6%
36	99%	98.7%	99.2%	92.5%	91.3%	93.9%
35	99%	98.8%	99.3%	92.9%	91.7%	94.2%
34	99.1%	98.9%	99.3%	93.2%	92.1%	94.4%
33	99.1%	98.9%	99.3%	93.5%	92.5%	94.6%
32	99.2%	99%	99.4%	93.8%	92.9%	94.9%
31	99.2%	99%	99.4%	94.1%	93.2%	95.1%
30	99.2%	99.1%	99.4%	94.4%	93.5%	95.3%
29	99.3%	99.1%	99.4%	94.6%	93.9%	95.5%
28	99.3%	99.2%	99.5%	94.9%	94.2%	95.7%
27	99.3%	99.2%	99.5%	95.1%	94.5%	95.9%
26	99.4%	99.2%	99.5%	95.4%	94.8%	96.1%
25	99.4%	99.3%	99.5%	95.6%	95.1%	96.2%
24	99.4%	99.3%	99.5%	95.9%	95.4%	96.4%
23	99.4%	99.4%	99.5%	96.1%	95.7%	96.6%
22	99.5%	99.4%	99.5%	96.3%	95.9%	96.7%
21	99.5%	99.4%	99.6%	96.5%	96.2%	96.9%
20	99.5%	99.5%	99.6%	96.8%	96.5%	97.1%
19	99.5%	99.5%	99.6%	97%	96.7%	97.3%
18	99.6%	99.5%	99.6%	97.2%	96.9%	97.4%
17	99.6%	99.6%	99.6%	97.3%	97.1%	97.6%
16	99.6%	99.6%	99.6%	97.4%	97.2%	97.7%
15	99.6%	99.6%	99.6%	97.6%	97.3%	97.8%
14	99.6%	99.6%	99.7%	97.6%	97.4%	97.9%
13	99.6%	99.6%	99.7%	97.7%	97.5%	97.9%
12	99.6%	99.6%	99.7%	97.7%	97.5%	98%
11	99.6%	99.6%	99.7%	97.8%	97.6%	98%
10	99.7%	99.6%	99.7%	97.9%	97.6%	98.1%
9	99.7%	99.6%	99.7%	97.9%	97.7%	98.1%
8	99.7%	99.6%	99.7%	98%	97.7%	98.2%
7	99.7%	99.6%	99.7%	98%	97.8%	98.3%
6	99.7%	99.7%	99.7%	98.1%	97.9%	98.3%
5	99.7%	99.7%	99.7%	98.2%	97.9%	98.4%
4	99.7%	99.7%	99.7%	98.2%	97.9%	98.4%
3	99.7%	99.7%	99.7%	98.2%	98%	98.4%
2	99.7%	99.7%	99.7%	98.3%	98.1%	98.5%
1	99.7%	99.7%	99.8%	98.5%	98.3%	98.7%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 73.2% in Tuvalu are expected to live past 60, 84.3% and 54.6% past 70, 66.5% and 28% past 80, and only 28.7% and 5.66% 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

Tuvalu

Male

Female

1x

Age	Probability of dying
	Germany			Tuvalu
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	39.1%	41.1%	38.8%
99	35.8%	37.9%	35.2%	37.4%	39.4%	36.9%
98	33.3%	35.4%	32.6%	35.8%	37.7%	35%
97	30.7%	32.9%	30%	34.4%	35.9%	33.1%
96	28.2%	30.5%	27.3%	32.7%	34.2%	31.2%
95	25.7%	28.2%	24.7%	30.9%	32.5%	29.3%
94	23.3%	25.9%	22.2%	29.1%	30.8%	27.5%
93	21.1%	23.6%	20%	27%	29.1%	25.8%
92	19%	21.3%	17.9%	25.1%	27.5%	24%
91	17%	19.1%	15.9%	23.5%	25.9%	22.4%
90	15.1%	17.1%	14%	21.9%	24.3%	20.8%
89	13.4%	15.4%	12.3%	20.4%	22.8%	19.2%
88	11.9%	13.7%	10.7%	18.8%	21.4%	17.8%
87	10.5%	12.2%	9.36%	17.5%	20.1%	16.4%
86	9.19%	10.8%	8.11%	16.3%	18.8%	15.1%
85	8.04%	9.54%	6.99%	14.9%	17.5%	13.8%
84	7.01%	8.39%	6.01%	13.9%	16.4%	12.6%
83	6.11%	7.38%	5.17%	12.8%	15.3%	11.6%
82	5.32%	6.49%	4.45%	11.7%	14.2%	10.5%
81	4.65%	5.72%	3.83%	10.9%	13.2%	9.59%
80	4.06%	5.05%	3.29%	10.1%	12.3%	8.71%
79	3.56%	4.47%	2.82%	9.27%	11.4%	7.91%
78	3.13%	3.98%	2.44%	8.49%	10.6%	7.17%
77	2.8%	3.59%	2.14%	7.72%	9.85%	6.49%
76	2.53%	3.26%	1.92%	7.04%	9.14%	5.88%
75	2.31%	2.99%	1.74%	6.64%	8.49%	5.32%
74	2.12%	2.74%	1.59%	5.84%	7.88%	4.82%
73	1.95%	2.53%	1.45%	5.34%	7.31%	4.37%
72	1.8%	2.34%	1.34%	5.07%	6.79%	3.97%
71	1.67%	2.17%	1.23%	4.63%	6.31%	3.62%
70	1.54%	2.01%	1.12%	4.36%	5.86%	3.3%
69	1.42%	1.86%	1.02%	4.03%	5.45%	3.01%
68	1.32%	1.73%	0.94%	3.65%	5.07%	2.75%
67	1.23%	1.61%	0.86%	3.36%	4.72%	2.51%
66	1.14%	1.49%	0.79%	3.14%	4.39%	2.29%
65	1.05%	1.39%	0.73%	2.94%	4.09%	2.1%
64	0.98%	1.29%	0.67%	2.7%	3.8%	1.93%
63	0.9%	1.19%	0.62%	2.44%	3.53%	1.78%
62	0.82%	1.08%	0.57%	2.31%	3.27%	1.65%
61	0.75%	0.98%	0.52%	2.2%	3.03%	1.53%
60	0.69%	0.89%	0.48%	2.06%	2.79%	1.43%
59	0.62%	0.81%	0.44%	1.93%	2.58%	1.34%
58	0.57%	0.74%	0.39%	1.81%	2.38%	1.25%
57	0.51%	0.66%	0.36%	1.71%	2.21%	1.16%
56	0.46%	0.6%	0.33%	1.62%	2.05%	1.08%
55	0.42%	0.54%	0.29%	1.51%	1.9%	1%
54	0.37%	0.48%	0.26%	1.4%	1.77%	0.93%
53	0.33%	0.43%	0.24%	1.27%	1.64%	0.86%
52	0.29%	0.38%	0.21%	1.16%	1.53%	0.8%
51	0.26%	0.33%	0.19%	1.08%	1.42%	0.75%
50	0.24%	0.3%	0.17%	1.03%	1.31%	0.7%
49	0.21%	0.27%	0.16%	0.96%	1.22%	0.66%
48	0.19%	0.24%	0.14%	0.88%	1.13%	0.62%
47	0.17%	0.21%	0.12%	0.82%	1.04%	0.58%
46	0.15%	0.19%	0.11%	0.77%	0.97%	0.54%
45	0.14%	0.17%	0.1%	0.71%	0.89%	0.5%
44	0.12%	0.16%	0.09%	0.67%	0.83%	0.46%
43	0.11%	0.14%	0.08%	0.62%	0.77%	0.43%
42	0.1%	0.13%	0.07%	0.57%	0.72%	0.4%
41	0.09%	0.12%	0.07%	0.53%	0.67%	0.38%
40	0.09%	0.11%	0.06%	0.5%	0.62%	0.36%
39	0.08%	0.1%	0.06%	0.47%	0.58%	0.34%
38	0.07%	0.09%	0.05%	0.44%	0.54%	0.32%
37	0.07%	0.08%	0.05%	0.42%	0.51%	0.31%
36	0.06%	0.08%	0.04%	0.39%	0.48%	0.29%
35	0.06%	0.07%	0.04%	0.37%	0.45%	0.27%
34	0.05%	0.07%	0.04%	0.35%	0.43%	0.26%
33	0.05%	0.06%	0.03%	0.33%	0.41%	0.25%
32	0.05%	0.06%	0.03%	0.32%	0.39%	0.24%
31	0.04%	0.05%	0.03%	0.3%	0.37%	0.23%
30	0.04%	0.05%	0.03%	0.29%	0.36%	0.22%
29	0.04%	0.05%	0.02%	0.28%	0.35%	0.21%
28	0.03%	0.04%	0.02%	0.27%	0.34%	0.21%
27	0.03%	0.04%	0.02%	0.27%	0.33%	0.2%
26	0.03%	0.04%	0.02%	0.26%	0.32%	0.19%
25	0.03%	0.04%	0.02%	0.25%	0.31%	0.18%
24	0.03%	0.04%	0.02%	0.24%	0.31%	0.18%
23	0.03%	0.04%	0.02%	0.24%	0.3%	0.18%
22	0.03%	0.04%	0.01%	0.24%	0.3%	0.18%
21	0.03%	0.04%	0.01%	0.24%	0.29%	0.18%
20	0.03%	0.04%	0.02%	0.23%	0.27%	0.18%
19	0.03%	0.03%	0.02%	0.21%	0.25%	0.17%
18	0.02%	0.03%	0.01%	0.19%	0.22%	0.16%
17	0.02%	0.03%	0.01%	0.16%	0.18%	0.15%
16	0.02%	0.02%	0.01%	0.13%	0.14%	0.12%
15	0.01%	0.01%	0.01%	0.1%	0.1%	0.1%
14	0.009%	0.01%	0.009%	0.08%	0.08%	0.08%
13	0.008%	0.008%	0.008%	0.07%	0.06%	0.07%
12	0.007%	0.007%	0.007%	0.06%	0.05%	0.06%
11	0.006%	0.006%	0.006%	0.05%	0.05%	0.06%
10	0.006%	0.006%	0.005%	0.05%	0.05%	0.05%
9	0.006%	0.006%	0.005%	0.05%	0.05%	0.06%
8	0.006%	0.007%	0.005%	0.06%	0.06%	0.06%
7	0.006%	0.007%	0.005%	0.06%	0.06%	0.06%
6	0.007%	0.008%	0.006%	0.07%	0.07%	0.06%
5	0.008%	0.008%	0.007%	0.07%	0.07%	0.07%
4	0.008%	0.009%	0.008%	0.02%	0.02%	0.02%
3	0.009%	0.009%	0.008%	0.04%	0.04%	0.03%
2	0.01%	0.01%	0.009%	0.09%	0.1%	0.09%
1	0.03%	0.03%	0.02%	0.19%	0.21%	0.18%
0	0.26%	0.28%	0.24%	1.51%	1.72%	1.29%

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

The annual chance of dying is 0.26% in the birth year in Germany and 1.51% in Tuvalu, 0.04% vs 0.29% at age 30, 0.69% vs 2.06% at 60, and 4.06% vs 10.1% at 80.

Death rate by age in Germany vs Tuvalu

Chart Table

Germany

Male

Female

Tuvalu

Male

Female

1x

Age	Death rate
	Germany			Tuvalu
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	26.8
99	874	530	1,197	96.2	39.2	170.8
98	1,217	768	1,642	143.2	60.1	248.9
97	1,623	1,066	2,155	210.2	89.5	352
96	2,070	1,421	2,698	296.3	129.4	482
95	2,537	1,824	3,236	405	182	641
94	3,012	2,264	3,756	539	249.2	830
93	3,456	2,699	4,218	683	333	1,046
92	3,843	3,091	4,602	847	433	1,286
91	4,141	3,427	4,868	1,036	550	1,542
90	4,341	3,710	4,988	1,240	684	1,808
89	4,447	3,930	4,984	1,447	832	2,074
88	4,458	4,061	4,878	1,643	992	2,330
87	4,390	4,114	4,689	1,853	1,162	2,567
86	4,248	4,095	4,424	2,060	1,338	2,779
85	4,039	3,995	4,101	2,223	1,516	2,957
84	3,788	3,836	3,753	2,406	1,692	3,099
83	3,517	3,640	3,402	2,543	1,863	3,200
82	3,238	3,424	3,062	2,623	2,023	3,261
81	2,964	3,202	2,740	2,739	2,170	3,283
80	2,702	2,979	2,436	2,842	2,301	3,268
79	2,452	2,760	2,150	2,865	2,414	3,221
78	2,230	2,560	1,904	2,868	2,507	3,145
77	2,048	2,391	1,710	2,823	2,581	3,046
76	1,900	2,250	1,561	2,773	2,637	2,929
75	1,777	2,125	1,442	2,799	2,674	2,801
74	1,662	2,004	1,335	2,613	2,695	2,667
73	1,560	1,893	1,240	2,526	2,699	2,530
72	1,471	1,797	1,157	2,527	2,689	2,394
71	1,389	1,705	1,078	2,420	2,666	2,262
70	1,300	1,607	995	2,384	2,631	2,132
69	1,217	1,514	916	2,294	2,587	2,006
68	1,142	1,432	848	2,156	2,536	1,883
67	1,075	1,357	788	2,051	2,477	1,764
66	1,007	1,280	730	1,983	2,412	1,650
65	943	1,205	676	1,911	2,341	1,543
64	884	1,135	627	1,802	2,262	1,444
63	821	1,055	579	1,675	2,177	1,355
62	757	972	534	1,617	2,086	1,276
61	699	895	495	1,577	1,989	1,207
60	642	821	457	1,506	1,890	1,143
59	587	753	416	1,438	1,792	1,083
58	535	687	378	1,373	1,696	1,024
57	487	623	346	1,324	1,605	965
56	441	563	316	1,270	1,519	906
55	398	508	285.7	1,206	1,439	847
54	358	456	256.9	1,135	1,361	792
53	320	407	231.5	1,045	1,287	741
52	284.9	360	208.4	960	1,215	695
51	254.5	320	188	909	1,144	655
50	229.5	287.6	170.4	875	1,075	619
49	207	259.3	153.8	825	1,008	585
48	185.3	232.3	137.5	763	944	551
47	165.7	208.4	122.3	716	883	518
46	149.1	188.7	108.9	676	825	485
45	134.2	170.5	97.3	629	771	453
44	120.3	152.3	87.5	593	721	423
43	108.4	137.1	78.7	557	675	396
42	99.4	126.7	71	513	632	372
41	91.5	117.1	64.6	479	592	352
40	84.2	107.7	59.5	454	556	335
39	76.9	97.9	54.6	429	523	319
38	70.3	89.5	49.8	406	492	303
37	64.7	83.1	44.9	385	464	287.9
36	59.4	77	40.6	364	438	272.7
35	55	71.1	37.8	343	415	257.9
34	51	65.8	35.2	325	394	244.4
33	47.6	61.9	32.2	312	376	232.8
32	44.7	58.3	30	298.5	360	223.2
31	42	54	28.8	285.2	347	215.5
30	38.5	49.5	26.4	275	335	209.1
29	34.9	45.3	23.4	266.5	324	203.3
28	32.1	42.4	20.8	259.3	316	197.2
27	30	40.3	18.5	253.2	308	190.3
26	28.6	39.3	16.8	245.6	301	183.2
25	27.6	38.6	15.7	237.1	295.2	176.6
24	26.9	37.6	15.2	231.8	291.1	171.6
23	26.2	36.7	15	231	288	169.3
22	25.7	36.2	14.6	230.6	284.5	169.5
21	25.6	36	14.7	227.6	278.1	171.5
20	26.1	36	15.5	221	264.9	172.6
19	25.3	34.6	15.4	208.2	242	169.8
18	22.9	30.7	14.5	187	209.4	160.3
17	19.5	25.1	13.6	157.9	170.5	143.1
16	15.5	18.8	12.1	127.5	132.5	121.7
15	12	13.8	10.2	100.1	100.4	99.9
14	9.35	10.1	8.53	78.9	76.7	81.4
13	7.7	7.78	7.61	64.4	61.2	68
12	6.7	6.53	6.87	55.5	52.1	59.3
11	6.08	6.17	5.99	51.2	47.9	54.8
10	5.74	6.23	5.22	50.3	47.3	53.5
9	5.49	6.23	4.71	52	49.6	54.6
8	5.54	6.48	4.56	55.5	54	57.1
7	5.96	6.94	4.91	59.9	59.6	60.2
6	6.74	7.49	5.95	64.6	65.8	63.2
5	7.69	8.09	7.28	68.9	71.8	65.4
4	8.4	8.73	8.05	19.4	19.8	19
3	8.73	9.26	8.17	36	38.6	33.2
2	10.1	11	9.22	92.6	99.6	84.9
1	27.4	29.9	24.7	189	202.8	174.3
0	263.3	281	244.7	1,512	1,715	1,294

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 78 in Tuvalu. The median age of death is 85.1 in Germany and 71.9 in Tuvalu, 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 Tuvalu more than their death rates.

Life expectancy in other countries

+ -

1x