Life Expectancy in Germany vs Malaysia (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Malaysia

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Malaysia
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.8	102.5	102.9
99	101	100.9	101.1	101.9	101.6	102
98	100.2	100.1	100.2	101.1	100.8	101.2
97	99.4	99.2	99.4	100.2	99.9	100.4
96	98.6	98.4	98.6	99.4	99.1	99.6
95	97.8	97.6	97.9	98.6	98.3	98.8
94	97	96.8	97.1	97.9	97.5	98.1
93	96.3	96	96.4	97.1	96.7	97.3
92	95.6	95.3	95.7	96.3	95.9	96.6
91	94.9	94.5	95	95.6	95.2	95.9
90	94.2	93.9	94.4	94.9	94.4	95.2
89	93.6	93.2	93.8	94.2	93.7	94.5
88	93	92.5	93.2	93.5	93	93.8
87	92.4	91.9	92.7	92.8	92.3	93.2
86	91.9	91.3	92.2	92.2	91.6	92.6
85	91.3	90.8	91.7	91.5	91	92
84	90.9	90.3	91.3	91	90.4	91.4
83	90.4	89.8	90.9	90.4	89.8	90.9
82	90	89.3	90.5	89.8	89.2	90.3
81	89.6	88.8	90.2	89.2	88.6	89.8
80	89.2	88.4	89.8	88.7	88	89.2
79	88.9	88	89.6	88.1	87.4	88.7
78	88.6	87.6	89.3	87.5	86.9	88.2
77	88.2	87.3	89	87	86.3	87.7
76	88	86.9	88.8	86.5	85.8	87.2
75	87.7	86.6	88.6	86	85.3	86.8
74	87.4	86.3	88.3	85.6	84.8	86.4
73	87.1	85.9	88.1	85.2	84.4	86
72	86.9	85.6	87.9	84.9	84	85.7
71	86.6	85.3	87.7	84.5	83.6	85.5
70	86.3	85	87.5	84.2	83.2	85.2
69	86.1	84.7	87.3	83.9	82.9	84.9
68	85.9	84.4	87.2	83.6	82.5	84.6
67	85.6	84.2	87	83.3	82.1	84.4
66	85.4	83.9	86.8	83	81.8	84.2
65	85.2	83.7	86.7	82.7	81.5	83.9
64	85	83.4	86.5	82.4	81.2	83.7
63	84.8	83.2	86.4	82.2	80.9	83.5
62	84.6	82.9	86.2	81.9	80.6	83.3
61	84.5	82.7	86.1	81.7	80.3	83.1
60	84.3	82.5	86	81.5	80.1	83
59	84.1	82.3	85.9	81.3	79.8	82.8
58	84	82.2	85.8	81.1	79.6	82.7
57	83.9	82	85.7	80.9	79.4	82.5
56	83.7	81.9	85.6	80.7	79.2	82.4
55	83.6	81.7	85.5	80.5	78.9	82.2
54	83.5	81.6	85.4	80.4	78.7	82.1
53	83.4	81.5	85.3	80.2	78.5	82
52	83.3	81.4	85.3	80.1	78.4	81.9
51	83.2	81.3	85.2	79.9	78.2	81.8
50	83.2	81.2	85.1	79.8	78	81.7
49	83.1	81.1	85.1	79.7	77.9	81.6
48	83	81	85	79.5	77.8	81.5
47	83	80.9	85	79.4	77.6	81.4
46	82.9	80.9	84.9	79.3	77.5	81.3
45	82.9	80.8	84.9	79.2	77.4	81.3
44	82.8	80.7	84.9	79.1	77.3	81.2
43	82.8	80.7	84.8	79.1	77.2	81.2
42	82.7	80.6	84.8	79	77	81.1
41	82.7	80.6	84.8	78.9	77	81
40	82.7	80.6	84.7	78.8	76.9	81
39	82.6	80.5	84.7	78.7	76.8	80.9
38	82.6	80.5	84.7	78.7	76.7	80.9
37	82.6	80.4	84.7	78.6	76.6	80.9
36	82.5	80.4	84.6	78.6	76.5	80.8
35	82.5	80.4	84.6	78.5	76.5	80.8
34	82.5	80.3	84.6	78.5	76.4	80.8
33	82.5	80.3	84.6	78.4	76.3	80.7
32	82.4	80.3	84.6	78.4	76.3	80.7
31	82.4	80.3	84.6	78.3	76.2	80.7
30	82.4	80.2	84.5	78.3	76.2	80.6
29	82.4	80.2	84.5	78.2	76.1	80.6
28	82.4	80.2	84.5	78.2	76.1	80.6
27	82.3	80.2	84.5	78.2	76	80.6
26	82.3	80.1	84.5	78.1	76	80.5
25	82.3	80.1	84.5	78.1	76	80.5
24	82.3	80.1	84.5	78.1	75.9	80.5
23	82.3	80.1	84.5	78	75.9	80.5
22	82.3	80.1	84.5	78	75.8	80.5
21	82.2	80	84.5	78	75.8	80.4
20	82.2	80	84.4	77.9	75.7	80.4
19	82.2	80	84.4	77.9	75.6	80.4
18	82.2	80	84.4	77.8	75.6	80.4
17	82.2	80	84.4	77.8	75.5	80.4
16	82.2	80	84.4	77.8	75.5	80.4
15	82.2	79.9	84.4	77.7	75.4	80.3
14	82.2	79.9	84.4	77.7	75.4	80.3
13	82.2	79.9	84.4	77.7	75.4	80.3
12	82.2	79.9	84.4	77.7	75.4	80.3
11	82.2	79.9	84.4	77.7	75.4	80.3
10	82.1	79.9	84.4	77.7	75.4	80.3
9	82.1	79.9	84.4	77.7	75.3	80.3
8	82.1	79.9	84.4	77.6	75.3	80.3
7	82.1	79.9	84.4	77.6	75.3	80.3
6	82.1	79.9	84.4	77.6	75.3	80.2
5	82.1	79.9	84.4	77.6	75.3	80.2
4	82.1	79.9	84.4	77.6	75.3	80.2
3	82.1	79.9	84.3	77.6	75.3	80.2
2	82.1	79.9	84.3	77.6	75.2	80.2
1	82.1	79.8	84.3	77.5	75.2	80.2
0	81.9	79.6	84.1	77.2	74.8	79.8

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 78.3 in Malaysia, rising to 85.2 and 82.7 at 65, and to 89.2 and 88.7 at 80 — higher than the 81.9 and 77.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Malaysia

Male

Female

1x

Age	Survival probability
	Germany			Malaysia
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	2.02%	1.16%	3%
99	2.44%	1.4%	3.4%	2.74%	1.64%	4%
98	3.66%	2.17%	5.04%	3.64%	2.26%	5.22%
97	5.28%	3.24%	7.19%	4.74%	3.05%	6.67%
96	7.35%	4.66%	9.89%	6.06%	4.02%	8.38%
95	9.89%	6.48%	13.1%	7.59%	5.19%	10.3%
94	12.9%	8.74%	16.9%	9.35%	6.58%	12.5%
93	16.4%	11.4%	21.1%	11.3%	8.19%	14.9%
92	20.2%	14.5%	25.7%	13.6%	10%	17.6%
91	24.3%	18%	30.6%	16%	12.1%	20.5%
90	28.7%	21.7%	35.6%	18.7%	14.3%	23.6%
89	33.1%	25.6%	40.5%	21.5%	16.8%	26.8%
88	37.6%	29.7%	45.4%	24.5%	19.5%	30.2%
87	42%	33.8%	50.1%	27.6%	22.3%	33.6%
86	46.2%	37.9%	54.5%	30.7%	25.2%	37%
85	50.3%	41.9%	58.6%	33.8%	28.1%	40.4%
84	54%	45.7%	62.4%	36.9%	31%	43.6%
83	57.6%	49.3%	65.8%	40%	34%	46.9%
82	60.8%	52.8%	68.9%	43.1%	37%	50.1%
81	63.8%	56%	71.6%	46.3%	40%	53.3%
80	66.5%	58.9%	74%	49.5%	43.1%	56.7%
79	68.9%	61.7%	76.2%	52.8%	46.3%	60%
78	71.2%	64.3%	78.1%	56%	49.6%	63.4%
77	73.2%	66.7%	79.8%	59.2%	52.7%	66.5%
76	75.1%	68.9%	81.4%	62.2%	55.7%	69.5%
75	76.9%	71%	82.8%	64.9%	58.5%	72.1%
74	78.5%	73%	84.1%	67.3%	61.1%	74.4%
73	80.1%	74.9%	85.4%	69.6%	63.5%	76.4%
72	81.6%	76.7%	86.5%	71.6%	65.7%	78.2%
71	83%	78.4%	87.6%	73.4%	67.8%	79.8%
70	84.3%	80%	88.6%	75.2%	69.8%	81.3%
69	85.5%	81.6%	89.5%	76.9%	71.7%	82.7%
68	86.6%	83%	90.4%	78.5%	73.6%	84%
67	87.7%	84.3%	91.2%	80%	75.4%	85.3%
66	88.7%	85.6%	91.9%	81.5%	77.1%	86.4%
65	89.6%	86.8%	92.6%	82.8%	78.6%	87.5%
64	90.5%	88%	93.2%	84%	80.1%	88.5%
63	91.3%	89%	93.8%	85.1%	81.4%	89.3%
62	92.1%	90%	94.3%	86.2%	82.6%	90.2%
61	92.8%	90.9%	94.8%	87.1%	83.8%	90.9%
60	93.4%	91.7%	95.2%	88%	84.9%	91.6%
59	94%	92.5%	95.7%	88.9%	85.9%	92.2%
58	94.6%	93.1%	96%	89.6%	86.9%	92.8%
57	95.1%	93.8%	96.4%	90.4%	87.8%	93.4%
56	95.5%	94.3%	96.7%	91.1%	88.7%	93.9%
55	95.9%	94.8%	97%	91.7%	89.5%	94.4%
54	96.3%	95.3%	97.2%	92.3%	90.2%	94.8%
53	96.6%	95.7%	97.5%	92.9%	90.9%	95.2%
52	96.9%	96.1%	97.7%	93.4%	91.5%	95.6%
51	97.1%	96.4%	97.9%	93.9%	92.1%	95.9%
50	97.3%	96.7%	98%	94.3%	92.6%	96.2%
49	97.5%	96.9%	98.2%	94.7%	93.1%	96.5%
48	97.7%	97.2%	98.3%	95%	93.6%	96.7%
47	97.9%	97.4%	98.5%	95.3%	94%	96.9%
46	98%	97.6%	98.6%	95.6%	94.4%	97.1%
45	98.2%	97.7%	98.7%	95.9%	94.7%	97.3%
44	98.3%	97.9%	98.8%	96.2%	95%	97.5%
43	98.4%	98%	98.8%	96.4%	95.4%	97.6%
42	98.5%	98.1%	98.9%	96.6%	95.6%	97.8%
41	98.6%	98.3%	99%	96.8%	95.9%	97.9%
40	98.7%	98.4%	99%	97%	96.1%	98%
39	98.8%	98.5%	99.1%	97.2%	96.4%	98.2%
38	98.8%	98.6%	99.1%	97.4%	96.6%	98.3%
37	98.9%	98.6%	99.2%	97.5%	96.8%	98.3%
36	99%	98.7%	99.2%	97.6%	96.9%	98.4%
35	99%	98.8%	99.3%	97.8%	97.1%	98.5%
34	99.1%	98.9%	99.3%	97.9%	97.3%	98.6%
33	99.1%	98.9%	99.3%	98%	97.4%	98.7%
32	99.2%	99%	99.4%	98.1%	97.5%	98.7%
31	99.2%	99%	99.4%	98.2%	97.6%	98.8%
30	99.2%	99.1%	99.4%	98.3%	97.8%	98.8%
29	99.3%	99.1%	99.4%	98.3%	97.9%	98.9%
28	99.3%	99.2%	99.5%	98.4%	98%	98.9%
27	99.3%	99.2%	99.5%	98.5%	98%	99%
26	99.4%	99.2%	99.5%	98.5%	98.1%	99%
25	99.4%	99.3%	99.5%	98.6%	98.2%	99%
24	99.4%	99.3%	99.5%	98.7%	98.3%	99.1%
23	99.4%	99.4%	99.5%	98.7%	98.4%	99.1%
22	99.5%	99.4%	99.5%	98.8%	98.5%	99.1%
21	99.5%	99.4%	99.6%	98.9%	98.6%	99.2%
20	99.5%	99.5%	99.6%	98.9%	98.7%	99.2%
19	99.5%	99.5%	99.6%	99%	98.8%	99.2%
18	99.6%	99.5%	99.6%	99.1%	98.9%	99.3%
17	99.6%	99.6%	99.6%	99.1%	99%	99.3%
16	99.6%	99.6%	99.6%	99.2%	99.1%	99.3%
15	99.6%	99.6%	99.6%	99.2%	99.1%	99.3%
14	99.6%	99.6%	99.7%	99.2%	99.2%	99.3%
13	99.6%	99.6%	99.7%	99.3%	99.2%	99.4%
12	99.6%	99.6%	99.7%	99.3%	99.2%	99.4%
11	99.6%	99.6%	99.7%	99.3%	99.2%	99.4%
10	99.7%	99.6%	99.7%	99.3%	99.3%	99.4%
9	99.7%	99.6%	99.7%	99.3%	99.3%	99.4%
8	99.7%	99.6%	99.7%	99.4%	99.3%	99.4%
7	99.7%	99.6%	99.7%	99.4%	99.3%	99.4%
6	99.7%	99.7%	99.7%	99.4%	99.3%	99.5%
5	99.7%	99.7%	99.7%	99.4%	99.4%	99.5%
4	99.7%	99.7%	99.7%	99.4%	99.4%	99.5%
3	99.7%	99.7%	99.7%	99.5%	99.4%	99.5%
2	99.7%	99.7%	99.7%	99.5%	99.4%	99.6%
1	99.7%	99.7%	99.8%	99.5%	99.5%	99.6%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 88% in Malaysia are expected to live past 60, 84.3% and 75.2% past 70, 66.5% and 49.5% past 80, and only 28.7% and 18.7% 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

Malaysia

Male

Female

1x

Age	Probability of dying
	Germany			Malaysia
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	27.8%	30.8%	26.5%
99	35.8%	37.9%	35.2%	26.4%	29.2%	25%
98	33.3%	35.4%	32.6%	24.8%	27.5%	23.4%
97	30.7%	32.9%	30%	23.2%	25.8%	21.8%
96	28.2%	30.5%	27.3%	21.7%	24.2%	20.4%
95	25.7%	28.2%	24.7%	20.2%	22.6%	18.9%
94	23.3%	25.9%	22.2%	18.8%	21.1%	17.5%
93	21.1%	23.6%	20%	17.5%	19.6%	16.2%
92	19%	21.3%	17.9%	16.4%	18.3%	15.1%
91	17%	19.1%	15.9%	15.3%	17%	14.1%
90	15.1%	17.1%	14%	14.3%	15.9%	13.1%
89	13.4%	15.4%	12.3%	13.3%	14.8%	12.1%
88	11.9%	13.7%	10.7%	12.2%	13.7%	11.2%
87	10.5%	12.2%	9.36%	11.2%	12.5%	10.2%
86	9.19%	10.8%	8.11%	10.2%	11.4%	9.17%
85	8.04%	9.54%	6.99%	9.21%	10.4%	8.27%
84	7.01%	8.39%	6.01%	8.38%	9.46%	7.5%
83	6.11%	7.38%	5.17%	7.71%	8.69%	6.88%
82	5.32%	6.49%	4.45%	7.2%	8.09%	6.44%
81	4.65%	5.72%	3.83%	6.82%	7.63%	6.12%
80	4.06%	5.05%	3.29%	6.51%	7.26%	5.87%
79	3.56%	4.47%	2.82%	6.21%	6.9%	5.61%
78	3.13%	3.98%	2.44%	5.83%	6.48%	5.25%
77	2.8%	3.59%	2.14%	5.35%	5.98%	4.78%
76	2.53%	3.26%	1.92%	4.78%	5.4%	4.21%
75	2.31%	2.99%	1.74%	4.18%	4.8%	3.62%
74	2.12%	2.74%	1.59%	3.63%	4.23%	3.08%
73	1.95%	2.53%	1.45%	3.17%	3.75%	2.63%
72	1.8%	2.34%	1.34%	2.81%	3.37%	2.28%
71	1.67%	2.17%	1.23%	2.54%	3.09%	2.03%
70	1.54%	2.01%	1.12%	2.35%	2.87%	1.84%
69	1.42%	1.86%	1.02%	2.2%	2.7%	1.71%
68	1.32%	1.73%	0.94%	2.06%	2.54%	1.58%
67	1.23%	1.61%	0.86%	1.91%	2.37%	1.47%
66	1.14%	1.49%	0.79%	1.76%	2.18%	1.34%
65	1.05%	1.39%	0.73%	1.6%	1.99%	1.22%
64	0.98%	1.29%	0.67%	1.45%	1.8%	1.1%
63	0.9%	1.19%	0.62%	1.31%	1.63%	0.99%
62	0.82%	1.08%	0.57%	1.19%	1.49%	0.9%
61	0.75%	0.98%	0.52%	1.1%	1.37%	0.82%
60	0.69%	0.89%	0.48%	1.01%	1.28%	0.75%
59	0.62%	0.81%	0.44%	0.95%	1.2%	0.69%
58	0.57%	0.74%	0.39%	0.88%	1.12%	0.64%
57	0.51%	0.66%	0.36%	0.83%	1.05%	0.6%
56	0.46%	0.6%	0.33%	0.77%	0.97%	0.55%
55	0.42%	0.54%	0.29%	0.71%	0.9%	0.51%
54	0.37%	0.48%	0.26%	0.65%	0.83%	0.47%
53	0.33%	0.43%	0.24%	0.59%	0.75%	0.42%
52	0.29%	0.38%	0.21%	0.54%	0.69%	0.38%
51	0.26%	0.33%	0.19%	0.49%	0.63%	0.34%
50	0.24%	0.3%	0.17%	0.45%	0.57%	0.31%
49	0.21%	0.27%	0.16%	0.41%	0.52%	0.28%
48	0.19%	0.24%	0.14%	0.37%	0.48%	0.25%
47	0.17%	0.21%	0.12%	0.34%	0.44%	0.23%
46	0.15%	0.19%	0.11%	0.31%	0.41%	0.21%
45	0.14%	0.17%	0.1%	0.29%	0.38%	0.19%
44	0.12%	0.16%	0.09%	0.27%	0.35%	0.17%
43	0.11%	0.14%	0.08%	0.25%	0.32%	0.16%
42	0.1%	0.13%	0.07%	0.23%	0.3%	0.15%
41	0.09%	0.12%	0.07%	0.21%	0.27%	0.13%
40	0.09%	0.11%	0.06%	0.19%	0.25%	0.12%
39	0.08%	0.1%	0.06%	0.18%	0.23%	0.11%
38	0.07%	0.09%	0.05%	0.16%	0.21%	0.1%
37	0.07%	0.08%	0.05%	0.15%	0.2%	0.09%
36	0.06%	0.08%	0.04%	0.14%	0.18%	0.09%
35	0.06%	0.07%	0.04%	0.13%	0.17%	0.08%
34	0.05%	0.07%	0.04%	0.12%	0.16%	0.07%
33	0.05%	0.06%	0.03%	0.11%	0.14%	0.07%
32	0.05%	0.06%	0.03%	0.1%	0.13%	0.06%
31	0.04%	0.05%	0.03%	0.09%	0.12%	0.06%
30	0.04%	0.05%	0.03%	0.08%	0.11%	0.05%
29	0.04%	0.05%	0.02%	0.08%	0.1%	0.05%
28	0.03%	0.04%	0.02%	0.07%	0.1%	0.04%
27	0.03%	0.04%	0.02%	0.07%	0.09%	0.04%
26	0.03%	0.04%	0.02%	0.06%	0.09%	0.04%
25	0.03%	0.04%	0.02%	0.06%	0.09%	0.04%
24	0.03%	0.04%	0.02%	0.06%	0.09%	0.04%
23	0.03%	0.04%	0.02%	0.06%	0.09%	0.03%
22	0.03%	0.04%	0.01%	0.07%	0.1%	0.03%
21	0.03%	0.04%	0.01%	0.07%	0.1%	0.03%
20	0.03%	0.04%	0.02%	0.07%	0.11%	0.03%
19	0.03%	0.03%	0.02%	0.07%	0.11%	0.03%
18	0.02%	0.03%	0.01%	0.07%	0.1%	0.03%
17	0.02%	0.03%	0.01%	0.06%	0.09%	0.03%
16	0.02%	0.02%	0.01%	0.05%	0.07%	0.02%
15	0.01%	0.01%	0.01%	0.04%	0.06%	0.02%
14	0.009%	0.01%	0.009%	0.03%	0.04%	0.02%
13	0.008%	0.008%	0.008%	0.03%	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%	0.02%	0.01%
10	0.006%	0.006%	0.005%	0.02%	0.02%	0.01%
9	0.006%	0.006%	0.005%	0.02%	0.02%	0.01%
8	0.006%	0.007%	0.005%	0.02%	0.02%	0.01%
7	0.006%	0.007%	0.005%	0.02%	0.02%	0.01%
6	0.007%	0.008%	0.006%	0.02%	0.02%	0.02%
5	0.008%	0.008%	0.007%	0.02%	0.02%	0.02%
4	0.008%	0.009%	0.008%	0.02%	0.02%	0.02%
3	0.009%	0.009%	0.008%	0.03%	0.03%	0.02%
2	0.01%	0.01%	0.009%	0.03%	0.03%	0.03%
1	0.03%	0.03%	0.02%	0.03%	0.03%	0.03%
0	0.26%	0.28%	0.24%	0.48%	0.53%	0.42%

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

The annual chance of dying is 0.26% in the birth year in Germany and 0.48% in Malaysia, 0.04% vs 0.08% at age 30, 0.69% vs 1.01% at 60, and 4.06% vs 6.51% at 80.

Death rate by age in Germany vs Malaysia

Chart Table

Germany

Male

Female

Malaysia

Male

Female

1x

Age	Death rate
	Germany			Malaysia
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	503	283.8	749
99	874	530	1,197	722	478	999
98	1,217	768	1,642	901	621	1,219
97	1,623	1,066	2,155	1,101	787	1,458
96	2,070	1,421	2,698	1,315	972	1,706
95	2,537	1,824	3,236	1,536	1,174	1,950
94	3,012	2,264	3,756	1,759	1,387	2,186
93	3,456	2,699	4,218	1,983	1,605	2,416
92	3,843	3,091	4,602	2,216	1,829	2,655
91	4,141	3,427	4,868	2,448	2,056	2,891
90	4,341	3,710	4,988	2,663	2,278	3,094
89	4,447	3,930	4,984	2,851	2,485	3,260
88	4,458	4,061	4,878	2,999	2,662	3,374
87	4,390	4,114	4,689	3,089	2,795	3,416
86	4,248	4,095	4,424	3,124	2,876	3,396
85	4,039	3,995	4,101	3,118	2,917	3,338
84	3,788	3,836	3,753	3,096	2,935	3,272
83	3,517	3,640	3,402	3,084	2,953	3,226
82	3,238	3,424	3,062	3,103	2,991	3,224
81	2,964	3,202	2,740	3,155	3,055	3,264
80	2,702	2,979	2,436	3,223	3,131	3,323
79	2,452	2,760	2,150	3,278	3,197	3,365
78	2,230	2,560	1,904	3,267	3,211	3,326
77	2,048	2,391	1,710	3,167	3,152	3,181
76	1,900	2,250	1,561	2,972	3,009	2,928
75	1,777	2,125	1,442	2,715	2,806	2,610
74	1,662	2,004	1,335	2,447	2,586	2,288
73	1,560	1,893	1,240	2,206	2,383	2,007
72	1,471	1,797	1,157	2,011	2,216	1,782
71	1,389	1,705	1,078	1,868	2,094	1,617
70	1,300	1,607	995	1,766	2,006	1,499
69	1,217	1,514	916	1,688	1,938	1,410
68	1,142	1,432	848	1,613	1,868	1,330
67	1,075	1,357	788	1,531	1,784	1,250
66	1,007	1,280	730	1,435	1,680	1,161
65	943	1,205	676	1,327	1,562	1,066
64	884	1,135	627	1,219	1,442	973
63	821	1,055	579	1,118	1,329	886
62	757	972	534	1,029	1,231	809
61	699	895	495	955	1,151	743
60	642	821	457	893	1,084	687
59	587	753	416	841	1,027	640
58	535	687	378	793	974	597
57	487	623	346	746	920	558
56	441	563	316	699	864	519
55	398	508	285.7	650	804	480
54	358	456	256.9	601	744	442
53	320	407	231.5	552	685	403
52	284.9	360	208.4	505	629	365
51	254.5	320	188	460	577	329
50	229.5	287.6	170.4	420	529	295.8
49	207	259.3	153.8	385	486	266.2
48	185.3	232.3	137.5	353	448	240.5
47	165.7	208.4	122.3	325	414	218.7
46	149.1	188.7	108.9	300	384	200.2
45	134.2	170.5	97.3	278.3	356	184.3
44	120.3	152.3	87.5	257.8	331	170.1
43	108.4	137.1	78.7	238.5	307	156.9
42	99.4	126.7	71	220.2	284.2	144.3
41	91.5	117.1	64.6	203	262.9	132.2
40	84.2	107.7	59.5	187	242.8	120.7
39	76.9	97.9	54.6	172.1	224	110.2
38	70.3	89.5	49.8	158.6	206.8	100.8
37	64.7	83.1	44.9	146.5	191.2	92.5
36	59.4	77	40.6	135.6	176.9	85.4
35	55	71.1	37.8	125.7	163.9	79
34	51	65.8	35.2	116.3	151.5	73
33	47.6	61.9	32.2	107.4	139.8	67.4
32	44.7	58.3	30	98.8	128.8	61.9
31	42	54	28.8	90.7	118.5	56.7
30	38.5	49.5	26.4	83.3	109.2	51.8
29	34.9	45.3	23.4	76.6	101.1	47.4
28	32.1	42.4	20.8	71.1	94.5	43.5
27	30	40.3	18.5	66.8	89.6	40.4
26	28.6	39.3	16.8	63.9	86.6	38
25	27.6	38.6	15.7	62.3	85.6	36.1
24	26.9	37.6	15.2	62.1	86.5	34.8
23	26.2	36.7	15	63.4	89.8	33.9
22	25.7	36.2	14.6	65.7	94.8	33.3
21	25.6	36	14.7	68.5	100.8	32.7
20	26.1	36	15.5	70.4	105.7	32
19	25.3	34.6	15.4	70.2	106.6	30.9
18	22.9	30.7	14.5	66.4	100.8	29.2
17	19.5	25.1	13.6	59.1	88.8	27
16	15.5	18.8	12.1	49.4	72.4	24.4
15	12	13.8	10.2	39.7	56.2	21.7
14	9.35	10.1	8.53	31.2	42.4	19
13	7.7	7.78	7.61	24.9	32.4	16.8
12	6.7	6.53	6.87	20.6	25.7	15
11	6.08	6.17	5.99	17.8	21.5	13.8
10	5.74	6.23	5.22	16.2	19.2	13.1
9	5.49	6.23	4.71	15.5	18.1	12.8
8	5.54	6.48	4.56	15.5	17.9	13
7	5.96	6.94	4.91	16.2	18.6	13.8
6	6.74	7.49	5.95	17.6	19.8	15.2
5	7.69	8.09	7.28	19.6	21.7	17.3
4	8.4	8.73	8.05	22.1	24	20.1
3	8.73	9.26	8.17	25.3	26.7	23.8
2	10.1	11	9.22	29.2	29.8	28.5
1	27.4	29.9	24.7	33.9	33.4	34.3
0	263.3	281	244.7	476	533	415

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 79 in Malaysia. The median age of death is 85.1 in Germany and 79.8 in Malaysia, 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 Malaysia more than their death rates.

Life expectancy in other countries

+ -

1x