Life Expectancy in China vs Germany (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Germany

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Germany
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	101.9	101.8	101.9
99	101	100.6	101.1	101	100.9	101.1
98	100.1	99.6	100.2	100.2	100.1	100.2
97	99.3	98.7	99.4	99.4	99.2	99.4
96	98.4	97.9	98.6	98.6	98.4	98.6
95	97.6	97.1	97.8	97.8	97.6	97.9
94	96.8	96.3	97	97	96.8	97.1
93	96	95.5	96.2	96.3	96	96.4
92	95.3	94.7	95.5	95.6	95.3	95.7
91	94.6	94	94.9	94.9	94.5	95
90	93.9	93.3	94.2	94.2	93.9	94.4
89	93.2	92.6	93.6	93.6	93.2	93.8
88	92.6	91.9	93	93	92.5	93.2
87	92	91.3	92.4	92.4	91.9	92.7
86	91.4	90.6	91.8	91.9	91.3	92.2
85	90.8	90	91.3	91.3	90.8	91.7
84	90.2	89.4	90.7	90.9	90.3	91.3
83	89.6	88.8	90.2	90.4	89.8	90.9
82	89.1	88.2	89.8	90	89.3	90.5
81	88.6	87.7	89.3	89.6	88.8	90.2
80	88.1	87.2	88.9	89.2	88.4	89.8
79	87.7	86.7	88.5	88.9	88	89.6
78	87.3	86.2	88.2	88.6	87.6	89.3
77	86.9	85.8	87.8	88.2	87.3	89
76	86.5	85.3	87.5	88	86.9	88.8
75	86.2	84.9	87.2	87.7	86.6	88.6
74	85.8	84.5	86.9	87.4	86.3	88.3
73	85.5	84.1	86.7	87.1	85.9	88.1
72	85.2	83.7	86.4	86.9	85.6	87.9
71	84.9	83.4	86.1	86.6	85.3	87.7
70	84.6	83	85.9	86.3	85	87.5
69	84.3	82.7	85.7	86.1	84.7	87.3
68	84	82.4	85.5	85.9	84.4	87.2
67	83.8	82.1	85.4	85.6	84.2	87
66	83.6	81.8	85.2	85.4	83.9	86.8
65	83.3	81.5	85	85.2	83.7	86.7
64	83.1	81.3	84.9	85	83.4	86.5
63	82.9	81	84.7	84.8	83.2	86.4
62	82.7	80.8	84.6	84.6	82.9	86.2
61	82.5	80.6	84.5	84.5	82.7	86.1
60	82.4	80.4	84.3	84.3	82.5	86
59	82.2	80.2	84.2	84.1	82.3	85.9
58	82.1	80	84.2	84	82.2	85.8
57	82	79.8	84.1	83.9	82	85.7
56	81.8	79.7	84	83.7	81.9	85.6
55	81.7	79.5	83.9	83.6	81.7	85.5
54	81.6	79.4	83.8	83.5	81.6	85.4
53	81.5	79.2	83.7	83.4	81.5	85.3
52	81.4	79.1	83.7	83.3	81.4	85.3
51	81.3	79	83.6	83.2	81.3	85.2
50	81.2	78.9	83.5	83.2	81.2	85.1
49	81.1	78.8	83.5	83.1	81.1	85.1
48	81	78.7	83.4	83	81	85
47	81	78.6	83.4	83	80.9	85
46	80.9	78.5	83.3	82.9	80.9	84.9
45	80.8	78.4	83.3	82.9	80.8	84.9
44	80.8	78.3	83.2	82.8	80.7	84.9
43	80.7	78.3	83.2	82.8	80.7	84.8
42	80.6	78.2	83.1	82.7	80.6	84.8
41	80.6	78.1	83.1	82.7	80.6	84.8
40	80.5	78.1	83.1	82.7	80.6	84.7
39	80.5	78	83	82.6	80.5	84.7
38	80.5	78	83	82.6	80.5	84.7
37	80.4	77.9	83	82.6	80.4	84.7
36	80.4	77.9	83	82.5	80.4	84.6
35	80.4	77.8	82.9	82.5	80.4	84.6
34	80.3	77.8	82.9	82.5	80.3	84.6
33	80.3	77.8	82.9	82.5	80.3	84.6
32	80.2	77.7	82.8	82.4	80.3	84.6
31	80.2	77.7	82.8	82.4	80.3	84.6
30	80.2	77.6	82.8	82.4	80.2	84.5
29	80.1	77.6	82.8	82.4	80.2	84.5
28	80.1	77.6	82.7	82.4	80.2	84.5
27	80.1	77.5	82.7	82.3	80.2	84.5
26	80	77.5	82.7	82.3	80.1	84.5
25	80	77.4	82.7	82.3	80.1	84.5
24	80	77.4	82.6	82.3	80.1	84.5
23	79.9	77.4	82.6	82.3	80.1	84.5
22	79.9	77.3	82.6	82.3	80.1	84.5
21	79.9	77.3	82.6	82.2	80	84.5
20	79.8	77.3	82.5	82.2	80	84.4
19	79.8	77.2	82.5	82.2	80	84.4
18	79.8	77.2	82.5	82.2	80	84.4
17	79.8	77.2	82.5	82.2	80	84.4
16	79.8	77.2	82.5	82.2	80	84.4
15	79.7	77.1	82.4	82.2	79.9	84.4
14	79.7	77.1	82.4	82.2	79.9	84.4
13	79.7	77.1	82.4	82.2	79.9	84.4
12	79.7	77.1	82.4	82.2	79.9	84.4
11	79.7	77	82.4	82.2	79.9	84.4
10	79.6	77	82.4	82.1	79.9	84.4
9	79.6	77	82.4	82.1	79.9	84.4
8	79.6	77	82.3	82.1	79.9	84.4
7	79.6	77	82.3	82.1	79.9	84.4
6	79.6	76.9	82.3	82.1	79.9	84.4
5	79.6	76.9	82.3	82.1	79.9	84.4
4	79.5	76.9	82.3	82.1	79.9	84.4
3	79.5	76.9	82.2	82.1	79.9	84.3
2	79.5	76.9	82.2	82.1	79.9	84.3
1	79.5	76.8	82.2	82.1	79.8	84.3
0	79	76.4	81.8	81.9	79.6	84.1

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 China can expect to live to 80.2 years compared to 82.4 in Germany, rising to 83.3 and 85.2 at 65, and to 88.1 and 89.2 at 80 — higher than the 79 and 81.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Germany

Male

Female

1x

Age	Survival probability
	China			Germany
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	1.57%	0.87%	2.2%
99	1.33%	0.38%	2.27%	2.44%	1.4%	3.4%
98	2.06%	0.72%	3.42%	3.66%	2.17%	5.04%
97	3.08%	1.24%	4.95%	5.28%	3.24%	7.19%
96	4.43%	2%	6.91%	7.35%	4.66%	9.89%
95	6.17%	3.05%	9.37%	9.89%	6.48%	13.1%
94	8.32%	4.42%	12.3%	12.9%	8.74%	16.9%
93	10.9%	6.13%	15.8%	16.4%	11.4%	21.1%
92	13.7%	8.19%	19.4%	20.2%	14.5%	25.7%
91	16.8%	10.6%	23.3%	24.3%	18%	30.6%
90	20.2%	13.3%	27.4%	28.7%	21.7%	35.6%
89	23.8%	16.3%	31.6%	33.1%	25.6%	40.5%
88	27.5%	19.5%	35.8%	37.6%	29.7%	45.4%
87	31.4%	23%	40.2%	42%	33.8%	50.1%
86	35.4%	26.6%	44.5%	46.2%	37.9%	54.5%
85	39.4%	30.3%	48.8%	50.3%	41.9%	58.6%
84	43.3%	34.1%	52.9%	54%	45.7%	62.4%
83	47.2%	37.9%	56.8%	57.6%	49.3%	65.8%
82	51%	41.7%	60.5%	60.8%	52.8%	68.9%
81	54.5%	45.3%	64%	63.8%	56%	71.6%
80	57.8%	48.8%	67.1%	66.5%	58.9%	74%
79	60.9%	52.2%	70%	68.9%	61.7%	76.2%
78	63.8%	55.3%	72.5%	71.2%	64.3%	78.1%
77	66.5%	58.3%	74.9%	73.2%	66.7%	79.8%
76	69%	61.2%	77%	75.1%	68.9%	81.4%
75	71.3%	63.9%	79%	76.9%	71%	82.8%
74	73.5%	66.4%	80.8%	78.5%	73%	84.1%
73	75.6%	68.9%	82.5%	80.1%	74.9%	85.4%
72	77.5%	71.1%	84%	81.6%	76.7%	86.5%
71	79.3%	73.3%	85.5%	83%	78.4%	87.6%
70	80.9%	75.3%	86.7%	84.3%	80%	88.6%
69	82.4%	77.1%	87.8%	85.5%	81.6%	89.5%
68	83.7%	78.8%	88.8%	86.6%	83%	90.4%
67	84.9%	80.4%	89.6%	87.7%	84.3%	91.2%
66	86.1%	82%	90.5%	88.7%	85.6%	91.9%
65	87.2%	83.4%	91.2%	89.6%	86.8%	92.6%
64	88.3%	84.8%	91.9%	90.5%	88%	93.2%
63	89.2%	86%	92.6%	91.3%	89%	93.8%
62	90.1%	87.1%	93.1%	92.1%	90%	94.3%
61	90.8%	88.1%	93.6%	92.8%	90.9%	94.8%
60	91.5%	89%	94.1%	93.4%	91.7%	95.2%
59	92.1%	89.8%	94.5%	94%	92.5%	95.7%
58	92.6%	90.5%	94.8%	94.6%	93.1%	96%
57	93.1%	91.2%	95.1%	95.1%	93.8%	96.4%
56	93.5%	91.8%	95.4%	95.5%	94.3%	96.7%
55	94%	92.4%	95.7%	95.9%	94.8%	97%
54	94.4%	92.9%	95.9%	96.3%	95.3%	97.2%
53	94.8%	93.4%	96.2%	96.6%	95.7%	97.5%
52	95.1%	93.9%	96.4%	96.9%	96.1%	97.7%
51	95.4%	94.3%	96.6%	97.1%	96.4%	97.9%
50	95.7%	94.7%	96.8%	97.3%	96.7%	98%
49	96%	95.1%	97%	97.5%	96.9%	98.2%
48	96.2%	95.4%	97.1%	97.7%	97.2%	98.3%
47	96.4%	95.7%	97.3%	97.9%	97.4%	98.5%
46	96.6%	95.9%	97.4%	98%	97.6%	98.6%
45	96.8%	96.1%	97.5%	98.2%	97.7%	98.7%
44	97%	96.4%	97.6%	98.3%	97.9%	98.8%
43	97.1%	96.6%	97.7%	98.4%	98%	98.8%
42	97.3%	96.7%	97.8%	98.5%	98.1%	98.9%
41	97.4%	96.9%	97.9%	98.6%	98.3%	99%
40	97.5%	97%	98%	98.7%	98.4%	99%
39	97.6%	97.2%	98.1%	98.8%	98.5%	99.1%
38	97.7%	97.3%	98.1%	98.8%	98.6%	99.1%
37	97.8%	97.4%	98.2%	98.9%	98.6%	99.2%
36	97.9%	97.5%	98.3%	99%	98.7%	99.2%
35	97.9%	97.6%	98.3%	99%	98.8%	99.3%
34	98%	97.7%	98.4%	99.1%	98.9%	99.3%
33	98.1%	97.8%	98.4%	99.1%	98.9%	99.3%
32	98.2%	97.9%	98.5%	99.2%	99%	99.4%
31	98.2%	98%	98.5%	99.2%	99%	99.4%
30	98.3%	98%	98.6%	99.2%	99.1%	99.4%
29	98.4%	98.1%	98.6%	99.3%	99.1%	99.4%
28	98.4%	98.2%	98.7%	99.3%	99.2%	99.5%
27	98.5%	98.3%	98.7%	99.3%	99.2%	99.5%
26	98.6%	98.4%	98.8%	99.4%	99.2%	99.5%
25	98.6%	98.4%	98.8%	99.4%	99.3%	99.5%
24	98.7%	98.5%	98.9%	99.4%	99.3%	99.5%
23	98.7%	98.6%	98.9%	99.4%	99.4%	99.5%
22	98.8%	98.7%	99%	99.5%	99.4%	99.5%
21	98.8%	98.7%	99%	99.5%	99.4%	99.6%
20	98.9%	98.8%	99%	99.5%	99.5%	99.6%
19	98.9%	98.8%	99.1%	99.5%	99.5%	99.6%
18	99%	98.9%	99.1%	99.6%	99.5%	99.6%
17	99%	98.9%	99.1%	99.6%	99.6%	99.6%
16	99%	98.9%	99.1%	99.6%	99.6%	99.6%
15	99.1%	99%	99.2%	99.6%	99.6%	99.6%
14	99.1%	99%	99.2%	99.6%	99.6%	99.7%
13	99.1%	99%	99.2%	99.6%	99.6%	99.7%
12	99.1%	99.1%	99.2%	99.6%	99.6%	99.7%
11	99.2%	99.1%	99.2%	99.6%	99.6%	99.7%
10	99.2%	99.1%	99.3%	99.7%	99.6%	99.7%
9	99.2%	99.2%	99.3%	99.7%	99.6%	99.7%
8	99.3%	99.2%	99.3%	99.7%	99.6%	99.7%
7	99.3%	99.2%	99.3%	99.7%	99.6%	99.7%
6	99.3%	99.3%	99.4%	99.7%	99.7%	99.7%
5	99.3%	99.3%	99.4%	99.7%	99.7%	99.7%
4	99.3%	99.3%	99.4%	99.7%	99.7%	99.7%
3	99.4%	99.3%	99.4%	99.7%	99.7%	99.7%
2	99.4%	99.4%	99.5%	99.7%	99.7%	99.7%
1	99.5%	99.4%	99.5%	99.7%	99.7%	99.8%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 93.4% in Germany are expected to live past 60, 80.9% and 84.3% past 70, 57.8% and 66.5% past 80, and only 20.2% and 28.7% past 90.

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

Odds of dying at each age

Chart Table

China

Male

Female

Germany

Male

Female

1x

Age	Probability of dying
	China			Germany
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	38.4%	40.3%	37.9%
99	38.1%	51.3%	36.1%	35.8%	37.9%	35.2%
98	35.7%	46.6%	33.6%	33.3%	35.4%	32.6%
97	33.1%	42.1%	30.9%	30.7%	32.9%	30%
96	30.5%	38.1%	28.4%	28.2%	30.5%	27.3%
95	28.2%	34.3%	26.2%	25.7%	28.2%	24.7%
94	25.9%	31%	24.1%	23.3%	25.9%	22.2%
93	23.4%	27.9%	21.7%	21.1%	23.6%	20%
92	20.8%	25.2%	19%	19%	21.3%	17.9%
91	18.5%	22.6%	16.6%	17%	19.1%	15.9%
90	16.7%	20.4%	14.9%	15.1%	17.1%	14%
89	15.1%	18.4%	13.3%	13.4%	15.4%	12.3%
88	13.6%	16.6%	11.9%	11.9%	13.7%	10.7%
87	12.4%	15%	10.8%	10.5%	12.2%	9.36%
86	11.2%	13.6%	9.72%	9.19%	10.8%	8.11%
85	10.1%	12.3%	8.73%	8.04%	9.54%	6.99%
84	9.17%	11.2%	7.82%	7.01%	8.39%	6.01%
83	8.24%	10.1%	6.95%	6.11%	7.38%	5.17%
82	7.35%	9.03%	6.12%	5.32%	6.49%	4.45%
81	6.51%	8.06%	5.36%	4.65%	5.72%	3.83%
80	5.75%	7.17%	4.67%	4.06%	5.05%	3.29%
79	5.09%	6.39%	4.07%	3.56%	4.47%	2.82%
78	4.52%	5.71%	3.56%	3.13%	3.98%	2.44%
77	4.03%	5.14%	3.15%	2.8%	3.59%	2.14%
76	3.62%	4.65%	2.8%	2.53%	3.26%	1.92%
75	3.27%	4.23%	2.5%	2.31%	2.99%	1.74%
74	2.98%	3.86%	2.25%	2.12%	2.74%	1.59%
73	2.69%	3.5%	2.02%	1.95%	2.53%	1.45%
72	2.45%	3.19%	1.81%	1.8%	2.34%	1.34%
71	2.26%	2.96%	1.66%	1.67%	2.17%	1.23%
70	2.04%	2.7%	1.47%	1.54%	2.01%	1.12%
69	1.76%	2.36%	1.22%	1.42%	1.86%	1.02%
68	1.58%	2.14%	1.08%	1.32%	1.73%	0.94%
67	1.48%	2.01%	1%	1.23%	1.61%	0.86%
66	1.37%	1.86%	0.91%	1.14%	1.49%	0.79%
65	1.26%	1.72%	0.83%	1.05%	1.39%	0.73%
64	1.17%	1.59%	0.76%	0.98%	1.29%	0.67%
63	1.06%	1.45%	0.69%	0.9%	1.19%	0.62%
62	0.95%	1.3%	0.61%	0.82%	1.08%	0.57%
61	0.83%	1.14%	0.53%	0.75%	0.98%	0.52%
60	0.73%	1%	0.46%	0.69%	0.89%	0.48%
59	0.64%	0.88%	0.41%	0.62%	0.81%	0.44%
58	0.57%	0.78%	0.36%	0.57%	0.74%	0.39%
57	0.52%	0.71%	0.33%	0.51%	0.66%	0.36%
56	0.48%	0.66%	0.31%	0.46%	0.6%	0.33%
55	0.45%	0.62%	0.29%	0.42%	0.54%	0.29%
54	0.43%	0.59%	0.27%	0.37%	0.48%	0.26%
53	0.41%	0.55%	0.26%	0.33%	0.43%	0.24%
52	0.38%	0.51%	0.24%	0.29%	0.38%	0.21%
51	0.34%	0.46%	0.22%	0.26%	0.33%	0.19%
50	0.3%	0.41%	0.19%	0.24%	0.3%	0.17%
49	0.27%	0.36%	0.17%	0.21%	0.27%	0.16%
48	0.24%	0.32%	0.15%	0.19%	0.24%	0.14%
47	0.22%	0.29%	0.14%	0.17%	0.21%	0.12%
46	0.2%	0.26%	0.13%	0.15%	0.19%	0.11%
45	0.18%	0.24%	0.12%	0.14%	0.17%	0.1%
44	0.17%	0.22%	0.11%	0.12%	0.16%	0.09%
43	0.16%	0.21%	0.11%	0.11%	0.14%	0.08%
42	0.14%	0.19%	0.1%	0.1%	0.13%	0.07%
41	0.13%	0.17%	0.09%	0.09%	0.12%	0.07%
40	0.12%	0.15%	0.08%	0.09%	0.11%	0.06%
39	0.1%	0.13%	0.07%	0.08%	0.1%	0.06%
38	0.1%	0.12%	0.07%	0.07%	0.09%	0.05%
37	0.09%	0.11%	0.06%	0.07%	0.08%	0.05%
36	0.08%	0.1%	0.06%	0.06%	0.08%	0.04%
35	0.08%	0.1%	0.06%	0.06%	0.07%	0.04%
34	0.08%	0.1%	0.06%	0.05%	0.07%	0.04%
33	0.08%	0.09%	0.05%	0.05%	0.06%	0.03%
32	0.07%	0.09%	0.05%	0.05%	0.06%	0.03%
31	0.07%	0.09%	0.05%	0.04%	0.05%	0.03%
30	0.07%	0.09%	0.05%	0.04%	0.05%	0.03%
29	0.07%	0.09%	0.05%	0.04%	0.05%	0.02%
28	0.07%	0.08%	0.05%	0.03%	0.04%	0.02%
27	0.07%	0.08%	0.05%	0.03%	0.04%	0.02%
26	0.07%	0.08%	0.05%	0.03%	0.04%	0.02%
25	0.06%	0.08%	0.05%	0.03%	0.04%	0.02%
24	0.06%	0.07%	0.05%	0.03%	0.04%	0.02%
23	0.06%	0.07%	0.04%	0.03%	0.04%	0.02%
22	0.05%	0.07%	0.04%	0.03%	0.04%	0.01%
21	0.05%	0.06%	0.04%	0.03%	0.04%	0.01%
20	0.05%	0.05%	0.03%	0.03%	0.04%	0.02%
19	0.04%	0.05%	0.03%	0.03%	0.03%	0.02%
18	0.04%	0.04%	0.03%	0.02%	0.03%	0.01%
17	0.03%	0.04%	0.03%	0.02%	0.03%	0.01%
16	0.03%	0.04%	0.02%	0.02%	0.02%	0.01%
15	0.03%	0.04%	0.02%	0.01%	0.01%	0.01%
14	0.03%	0.04%	0.02%	0.009%	0.01%	0.009%
13	0.03%	0.04%	0.02%	0.008%	0.008%	0.008%
12	0.03%	0.03%	0.02%	0.007%	0.007%	0.007%
11	0.03%	0.03%	0.02%	0.006%	0.006%	0.006%
10	0.03%	0.03%	0.02%	0.006%	0.006%	0.005%
9	0.03%	0.03%	0.02%	0.006%	0.006%	0.005%
8	0.03%	0.03%	0.02%	0.006%	0.007%	0.005%
7	0.02%	0.03%	0.02%	0.006%	0.007%	0.005%
6	0.02%	0.02%	0.02%	0.007%	0.008%	0.006%
5	0.02%	0.02%	0.02%	0.008%	0.008%	0.007%
4	0.02%	0.02%	0.03%	0.008%	0.009%	0.008%
3	0.03%	0.03%	0.03%	0.009%	0.009%	0.008%
2	0.04%	0.04%	0.04%	0.01%	0.01%	0.009%
1	0.05%	0.05%	0.05%	0.03%	0.03%	0.02%
0	0.54%	0.59%	0.49%	0.26%	0.28%	0.24%

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

The annual chance of dying is 0.54% in the birth year in China and 0.26% in Germany, 0.07% vs 0.04% at age 30, 0.73% vs 0.69% at 60, and 5.75% vs 4.06% at 80.

Death rate by age in China vs Germany

Chart Table

China

Male

Female

Germany

Male

Female

1x

Age	Death rate
	China			Germany
	Total	Male	Female	Total	Male	Female
100	145	0	355	411	149.7	645
99	505	196.9	819	874	530	1,197
98	735	334	1,147	1,217	768	1,642
97	1,018	523	1,530	1,623	1,066	2,155
96	1,350	762	1,962	2,070	1,421	2,698
95	1,738	1,046	2,458	2,537	1,824	3,236
94	2,153	1,368	2,972	3,012	2,264	3,756
93	2,544	1,713	3,413	3,456	2,699	4,218
92	2,856	2,061	3,693	3,843	3,091	4,602
91	3,108	2,396	3,865	4,141	3,427	4,868
90	3,366	2,708	4,066	4,341	3,710	4,988
89	3,582	2,988	4,200	4,447	3,930	4,984
88	3,745	3,232	4,268	4,458	4,061	4,878
87	3,880	3,440	4,326	4,390	4,114	4,689
86	3,965	3,608	4,325	4,248	4,095	4,424
85	3,995	3,731	4,256	4,039	3,995	4,101
84	3,972	3,803	4,134	3,788	3,836	3,753
83	3,891	3,816	3,953	3,517	3,640	3,402
82	3,745	3,764	3,707	3,238	3,424	3,062
81	3,550	3,655	3,426	2,964	3,202	2,740
80	3,328	3,503	3,132	2,702	2,979	2,436
79	3,103	3,332	2,846	2,452	2,760	2,150
78	2,884	3,160	2,586	2,230	2,560	1,904
77	2,680	2,998	2,356	2,048	2,391	1,710
76	2,497	2,846	2,155	1,900	2,250	1,561
75	2,336	2,704	1,979	1,777	2,125	1,442
74	2,190	2,566	1,823	1,662	2,004	1,335
73	2,034	2,410	1,665	1,560	1,893	1,240
72	1,895	2,269	1,525	1,471	1,797	1,157
71	1,792	2,168	1,415	1,389	1,705	1,078
70	1,654	2,034	1,272	1,300	1,607	995
69	1,448	1,822	1,069	1,217	1,514	916
68	1,325	1,689	956	1,142	1,432	848
67	1,260	1,614	898	1,075	1,357	788
66	1,179	1,527	825	1,007	1,280	730
65	1,103	1,438	761	943	1,205	676
64	1,030	1,348	703	884	1,135	627
63	946	1,247	635	821	1,055	579
62	853	1,133	564	757	972	534
61	757	1,009	498	699	895	495
60	668	892	436	642	821	457
59	590	791	383	587	753	416
58	527	706	342	535	687	378
57	482	645	313	487	623	346
56	451	603	292	441	563	316
55	427	572	276.5	398	508	285.7
54	408	546	263.3	358	456	256.9
53	387	518	249.2	320	407	231.5
52	360	482	231.3	284.9	360	208.4
51	327	438	210	254.5	320	188
50	290.9	390	187.2	229.5	287.6	170.4
49	257.4	344	166.1	207	259.3	153.8
48	229.6	306	149.2	185.3	232.3	137.5
47	208.9	276.7	137.2	165.7	208.4	122.3
46	192.8	253.9	128.1	149.1	188.7	108.9
45	178.6	234	119.7	134.2	170.5	97.3
44	165.2	215.7	111.4	120.3	152.3	87.5
43	152.2	198	103.3	108.4	137.1	78.7
42	139.1	180	95.4	99.4	126.7	71
41	126	161.9	87.5	91.5	117.1	64.6
40	113.4	144.6	79.7	84.2	107.7	59.5
39	102.3	129.3	72.9	76.9	97.9	54.6
38	93	116.7	67.2	70.3	89.5	49.8
37	86	107.2	62.7	64.7	83.1	44.9
36	81	100.6	59.2	59.4	77	40.6
35	77.6	96.3	56.7	55	71.1	37.8
34	75.4	93.5	55	51	65.8	35.2
33	73.9	91.7	53.8	47.6	61.9	32.2
32	72.9	90.3	53	44.7	58.3	30
31	71.6	88.7	51.9	42	54	28.8
30	70	86.7	50.7	38.5	49.5	26.4
29	68.3	84.6	49.4	34.9	45.3	23.4
28	67	82.9	48.7	32.1	42.4	20.8
27	65.8	81	48.1	30	40.3	18.5
26	64.1	78.3	47.4	28.6	39.3	16.8
25	62.2	75.4	46.7	27.6	38.6	15.7
24	60.3	72.7	45.8	26.9	37.6	15.2
23	57.6	69	44.1	26.2	36.7	15
22	53.9	64.4	41.5	25.7	36.2	14.6
21	49.4	59.1	38.1	25.6	36	14.7
20	44.8	53.7	34.3	26.1	36	15.5
19	40.4	48.5	30.8	25.3	34.6	15.4
18	36.6	44.2	27.6	22.9	30.7	14.5
17	33.6	40.9	25	19.5	25.1	13.6
16	31.4	38.5	23.1	15.5	18.8	12.1
15	30	36.9	21.9	12	13.8	10.2
14	29.2	35.9	21.3	9.35	10.1	8.53
13	28.7	35.2	21.2	7.7	7.78	7.61
12	28.2	34.1	21.3	6.7	6.53	6.87
11	27.5	32.7	21.6	6.08	6.17	5.99
10	27.6	32	22.6	5.74	6.23	5.22
9	27.6	31.1	23.5	5.49	6.23	4.71
8	26.3	28.8	23.3	5.54	6.48	4.56
7	24.2	25.8	22.4	5.96	6.94	4.91
6	22.5	23.1	21.8	6.74	7.49	5.95
5	22.3	22.3	22.4	7.69	8.09	7.28
4	24.6	24.2	25	8.4	8.73	8.05
3	29.6	29.3	29.9	8.73	9.26	8.17
2	36.1	35.9	36.3	10.1	11	9.22
1	45.9	46.8	44.9	27.4	29.9	24.7
0	540	585	490	263.3	281	244.7

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 China, the most common age of death is 85, compared to 88 in Germany. The median age of death is 82.3 in China and 85.1 in Germany, 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 China and Germany more than their death rates.

Life expectancy in other countries

+ -

1x