Life Expectancy in Germany vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Malawi
	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	100.3	100.1	100.4
97	99.4	99.2	99.4	99.4	99.2	99.5
96	98.6	98.4	98.6	98.6	98.4	98.6
95	97.8	97.6	97.9	97.7	97.5	97.8
94	97	96.8	97.1	96.9	96.6	97
93	96.3	96	96.4	96	95.8	96.1
92	95.6	95.3	95.7	95.2	94.9	95.3
91	94.9	94.5	95	94.4	94.1	94.5
90	94.2	93.9	94.4	93.6	93.2	93.8
89	93.6	93.2	93.8	92.8	92.4	93
88	93	92.5	93.2	92.1	91.6	92.2
87	92.4	91.9	92.7	91.3	90.8	91.5
86	91.9	91.3	92.2	90.6	90.1	90.8
85	91.3	90.8	91.7	89.8	89.3	90.1
84	90.9	90.3	91.3	89.1	88.5	89.4
83	90.4	89.8	90.9	88.4	87.8	88.8
82	90	89.3	90.5	87.8	87.1	88.2
81	89.6	88.8	90.2	87.2	86.4	87.6
80	89.2	88.4	89.8	86.5	85.8	87
79	88.9	88	89.6	85.9	85.1	86.4
78	88.6	87.6	89.3	85.3	84.5	85.9
77	88.2	87.3	89	84.8	83.8	85.3
76	88	86.9	88.8	84.2	83.2	84.8
75	87.7	86.6	88.6	83.6	82.7	84.3
74	87.4	86.3	88.3	83.1	82.1	83.9
73	87.1	85.9	88.1	82.6	81.5	83.4
72	86.9	85.6	87.9	82.1	81	83
71	86.6	85.3	87.7	81.7	80.5	82.5
70	86.3	85	87.5	81.2	80	82.1
69	86.1	84.7	87.3	80.8	79.5	81.8
68	85.9	84.4	87.2	80.3	79	81.4
67	85.6	84.2	87	79.9	78.6	81
66	85.4	83.9	86.8	79.5	78.1	80.7
65	85.2	83.7	86.7	79.2	77.7	80.4
64	85	83.4	86.5	78.8	77.3	80
63	84.8	83.2	86.4	78.5	76.9	79.8
62	84.6	82.9	86.2	78.1	76.5	79.5
61	84.5	82.7	86.1	77.8	76.1	79.2
60	84.3	82.5	86	77.5	75.8	78.9
59	84.1	82.3	85.9	77.2	75.4	78.7
58	84	82.2	85.8	76.9	75.1	78.5
57	83.9	82	85.7	76.7	74.8	78.2
56	83.7	81.9	85.6	76.4	74.5	78
55	83.6	81.7	85.5	76.1	74.2	77.8
54	83.5	81.6	85.4	75.9	73.9	77.6
53	83.4	81.5	85.3	75.6	73.6	77.4
52	83.3	81.4	85.3	75.4	73.3	77.3
51	83.2	81.3	85.2	75.2	73	77.1
50	83.2	81.2	85.1	75	72.8	76.9
49	83.1	81.1	85.1	74.8	72.5	76.7
48	83	81	85	74.6	72.3	76.6
47	83	80.9	85	74.4	72.1	76.5
46	82.9	80.9	84.9	74.2	71.9	76.3
45	82.9	80.8	84.9	74	71.7	76.2
44	82.8	80.7	84.9	73.8	71.5	76.1
43	82.8	80.7	84.8	73.7	71.3	75.9
42	82.7	80.6	84.8	73.5	71.1	75.8
41	82.7	80.6	84.8	73.4	70.9	75.7
40	82.7	80.6	84.7	73.3	70.7	75.6
39	82.6	80.5	84.7	73.1	70.6	75.5
38	82.6	80.5	84.7	73	70.4	75.4
37	82.6	80.4	84.7	72.9	70.2	75.3
36	82.5	80.4	84.6	72.7	70.1	75.2
35	82.5	80.4	84.6	72.6	69.9	75.1
34	82.5	80.3	84.6	72.5	69.8	75
33	82.5	80.3	84.6	72.4	69.7	75
32	82.4	80.3	84.6	72.3	69.5	74.9
31	82.4	80.3	84.6	72.2	69.4	74.8
30	82.4	80.2	84.5	72.1	69.3	74.7
29	82.4	80.2	84.5	72	69.2	74.7
28	82.4	80.2	84.5	71.9	69.1	74.6
27	82.3	80.2	84.5	71.8	68.9	74.5
26	82.3	80.1	84.5	71.7	68.8	74.5
25	82.3	80.1	84.5	71.6	68.7	74.4
24	82.3	80.1	84.5	71.6	68.6	74.3
23	82.3	80.1	84.5	71.5	68.5	74.3
22	82.3	80.1	84.5	71.4	68.4	74.2
21	82.2	80	84.5	71.3	68.3	74.2
20	82.2	80	84.4	71.2	68.2	74.1
19	82.2	80	84.4	71.2	68.1	74.1
18	82.2	80	84.4	71.1	68	74
17	82.2	80	84.4	71	68	74
16	82.2	80	84.4	71	67.9	73.9
15	82.2	79.9	84.4	70.9	67.8	73.9
14	82.2	79.9	84.4	70.9	67.8	73.9
13	82.2	79.9	84.4	70.9	67.8	73.8
12	82.2	79.9	84.4	70.8	67.7	73.8
11	82.2	79.9	84.4	70.8	67.7	73.8
10	82.1	79.9	84.4	70.7	67.6	73.7
9	82.1	79.9	84.4	70.7	67.6	73.7
8	82.1	79.9	84.4	70.7	67.5	73.6
7	82.1	79.9	84.4	70.6	67.5	73.6
6	82.1	79.9	84.4	70.5	67.4	73.5
5	82.1	79.9	84.4	70.5	67.4	73.5
4	82.1	79.9	84.4	70.4	67.3	73.4
3	82.1	79.9	84.3	70.3	67.1	73.3
2	82.1	79.9	84.3	70.1	67	73.1
1	82.1	79.8	84.3	69.8	66.7	72.9
0	81.9	79.6	84.1	67.9	64.6	71.1

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 Germany can expect to live to 82.4 years compared to 72.1 in Malawi, rising to 85.2 and 79.2 at 65, and to 89.2 and 86.5 at 80 — higher than the 81.9 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	Germany			Malawi
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.28%	0.11%	0.45%
99	2.44%	1.4%	3.4%	0.42%	0.17%	0.68%
98	3.66%	2.17%	5.04%	0.63%	0.26%	1%
97	5.28%	3.24%	7.19%	0.91%	0.4%	1.43%
96	7.35%	4.66%	9.89%	1.29%	0.58%	2.01%
95	9.89%	6.48%	13.1%	1.8%	0.84%	2.76%
94	12.9%	8.74%	16.9%	2.44%	1.19%	3.7%
93	16.4%	11.4%	21.1%	3.24%	1.64%	4.85%
92	20.2%	14.5%	25.7%	4.23%	2.22%	6.24%
91	24.3%	18%	30.6%	5.39%	2.93%	7.85%
90	28.7%	21.7%	35.6%	6.79%	3.82%	9.75%
89	33.1%	25.6%	40.5%	8.39%	4.88%	11.9%
88	37.6%	29.7%	45.4%	10.2%	6.14%	14.2%
87	42%	33.8%	50.1%	12.2%	7.6%	16.8%
86	46.2%	37.9%	54.5%	14.5%	9.26%	19.6%
85	50.3%	41.9%	58.6%	16.9%	11.1%	22.5%
84	54%	45.7%	62.4%	19.5%	13.2%	25.6%
83	57.6%	49.3%	65.8%	22.1%	15.4%	28.7%
82	60.8%	52.8%	68.9%	24.9%	17.8%	31.9%
81	63.8%	56%	71.6%	27.7%	20.2%	35%
80	66.5%	58.9%	74%	30.6%	22.8%	38.2%
79	68.9%	61.7%	76.2%	33.5%	25.5%	41.3%
78	71.2%	64.3%	78.1%	36.4%	28.2%	44.4%
77	73.2%	66.7%	79.8%	39.3%	31%	47.4%
76	75.1%	68.9%	81.4%	42.1%	33.7%	50.3%
75	76.9%	71%	82.8%	44.9%	36.5%	53.1%
74	78.5%	73%	84.1%	47.7%	39.2%	55.8%
73	80.1%	74.9%	85.4%	50.3%	41.9%	58.4%
72	81.6%	76.7%	86.5%	52.9%	44.6%	60.9%
71	83%	78.4%	87.6%	55.3%	47.1%	63.2%
70	84.3%	80%	88.6%	57.7%	49.6%	65.4%
69	85.5%	81.6%	89.5%	59.9%	52%	67.4%
68	86.6%	83%	90.4%	62.1%	54.3%	69.4%
67	87.7%	84.3%	91.2%	64.1%	56.5%	71.2%
66	88.7%	85.6%	91.9%	66%	58.7%	72.9%
65	89.6%	86.8%	92.6%	67.8%	60.7%	74.5%
64	90.5%	88%	93.2%	69.5%	62.7%	76%
63	91.3%	89%	93.8%	71.1%	64.6%	77.4%
62	92.1%	90%	94.3%	72.7%	66.4%	78.7%
61	92.8%	90.9%	94.8%	74.1%	68.1%	79.9%
60	93.4%	91.7%	95.2%	75.4%	69.7%	81%
59	94%	92.5%	95.7%	76.6%	71.2%	82%
58	94.6%	93.1%	96%	77.8%	72.6%	83%
57	95.1%	93.8%	96.4%	78.9%	74%	83.8%
56	95.5%	94.3%	96.7%	80%	75.2%	84.7%
55	95.9%	94.8%	97%	81%	76.5%	85.5%
54	96.3%	95.3%	97.2%	81.9%	77.6%	86.2%
53	96.6%	95.7%	97.5%	82.8%	78.7%	86.9%
52	96.9%	96.1%	97.7%	83.7%	79.8%	87.5%
51	97.1%	96.4%	97.9%	84.5%	80.7%	88.1%
50	97.3%	96.7%	98%	85.2%	81.7%	88.7%
49	97.5%	96.9%	98.2%	85.9%	82.5%	89.2%
48	97.7%	97.2%	98.3%	86.6%	83.3%	89.7%
47	97.9%	97.4%	98.5%	87.2%	84.1%	90.1%
46	98%	97.6%	98.6%	87.7%	84.8%	90.5%
45	98.2%	97.7%	98.7%	88.3%	85.5%	90.9%
44	98.3%	97.9%	98.8%	88.8%	86.1%	91.3%
43	98.4%	98%	98.8%	89.2%	86.7%	91.6%
42	98.5%	98.1%	98.9%	89.7%	87.3%	92%
41	98.6%	98.3%	99%	90.1%	87.8%	92.3%
40	98.7%	98.4%	99%	90.5%	88.3%	92.5%
39	98.8%	98.5%	99.1%	90.8%	88.8%	92.8%
38	98.8%	98.6%	99.1%	91.2%	89.3%	93.1%
37	98.9%	98.6%	99.2%	91.5%	89.7%	93.3%
36	99%	98.7%	99.2%	91.8%	90.1%	93.5%
35	99%	98.8%	99.3%	92.1%	90.5%	93.7%
34	99.1%	98.9%	99.3%	92.4%	90.8%	93.9%
33	99.1%	98.9%	99.3%	92.6%	91.1%	94.1%
32	99.2%	99%	99.4%	92.9%	91.5%	94.3%
31	99.2%	99%	99.4%	93.1%	91.8%	94.4%
30	99.2%	99.1%	99.4%	93.3%	92.1%	94.6%
29	99.3%	99.1%	99.4%	93.5%	92.3%	94.7%
28	99.3%	99.2%	99.5%	93.7%	92.6%	94.9%
27	99.3%	99.2%	99.5%	93.9%	92.9%	95%
26	99.4%	99.2%	99.5%	94.1%	93.1%	95.1%
25	99.4%	99.3%	99.5%	94.3%	93.3%	95.2%
24	99.4%	99.3%	99.5%	94.5%	93.6%	95.4%
23	99.4%	99.4%	99.5%	94.6%	93.8%	95.5%
22	99.5%	99.4%	99.5%	94.8%	94%	95.6%
21	99.5%	99.4%	99.6%	94.9%	94.2%	95.7%
20	99.5%	99.5%	99.6%	95.1%	94.4%	95.8%
19	99.5%	99.5%	99.6%	95.2%	94.6%	95.9%
18	99.6%	99.5%	99.6%	95.3%	94.7%	96%
17	99.6%	99.6%	99.6%	95.4%	94.9%	96%
16	99.6%	99.6%	99.6%	95.5%	95%	96.1%
15	99.6%	99.6%	99.6%	95.6%	95.1%	96.2%
14	99.6%	99.6%	99.7%	95.7%	95.2%	96.2%
13	99.6%	99.6%	99.7%	95.8%	95.2%	96.3%
12	99.6%	99.6%	99.7%	95.8%	95.3%	96.3%
11	99.6%	99.6%	99.7%	95.9%	95.4%	96.4%
10	99.7%	99.6%	99.7%	95.9%	95.4%	96.4%
9	99.7%	99.6%	99.7%	96%	95.5%	96.5%
8	99.7%	99.6%	99.7%	96.1%	95.6%	96.5%
7	99.7%	99.6%	99.7%	96.1%	95.7%	96.6%
6	99.7%	99.7%	99.7%	96.2%	95.8%	96.7%
5	99.7%	99.7%	99.7%	96.3%	95.9%	96.8%
4	99.7%	99.7%	99.7%	96.5%	96%	96.9%
3	99.7%	99.7%	99.7%	96.6%	96.2%	97%
2	99.7%	99.7%	99.7%	96.9%	96.5%	97.3%
1	99.7%	99.7%	99.8%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 75.4% in Malawi are expected to live past 60, 84.3% and 57.7% past 70, 66.5% and 30.6% past 80, and only 28.7% and 6.79% 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

Malawi

Male

Female

1x

Age	Probability of dying
	Germany			Malawi
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	35.9%	38.2%	35.3%
99	35.8%	37.9%	35.2%	34.4%	36.8%	33.8%
98	33.3%	35.4%	32.6%	32.6%	35.1%	31.9%
97	30.7%	32.9%	30%	31.2%	33.7%	30.4%
96	28.2%	30.5%	27.3%	29.7%	32.3%	28.8%
95	25.7%	28.2%	24.7%	28.1%	30.8%	27.2%
94	23.3%	25.9%	22.2%	26.3%	29.1%	25.4%
93	21.1%	23.6%	20%	24.7%	27.5%	23.7%
92	19%	21.3%	17.9%	23.3%	26%	22.2%
91	17%	19.1%	15.9%	21.6%	24.4%	20.5%
90	15.1%	17.1%	14%	20.6%	23.3%	19.5%
89	13.4%	15.4%	12.3%	19%	21.7%	17.8%
88	11.9%	13.7%	10.7%	17.8%	20.5%	16.6%
87	10.5%	12.2%	9.36%	16.6%	19.2%	15.3%
86	9.19%	10.8%	8.11%	15.4%	18%	14.2%
85	8.04%	9.54%	6.99%	14.3%	16.7%	13.1%
84	7.01%	8.39%	6.01%	13.3%	15.6%	12%
83	6.11%	7.38%	5.17%	12.1%	14.4%	10.9%
82	5.32%	6.49%	4.45%	11.1%	13.3%	9.93%
81	4.65%	5.72%	3.83%	10.1%	12.1%	8.87%
80	4.06%	5.05%	3.29%	9.44%	11.4%	8.27%
79	3.56%	4.47%	2.82%	8.65%	10.4%	7.55%
78	3.13%	3.98%	2.44%	8.01%	9.69%	6.95%
77	2.8%	3.59%	2.14%	7.31%	8.88%	6.31%
76	2.53%	3.26%	1.92%	6.76%	8.21%	5.8%
75	2.31%	2.99%	1.74%	6.27%	7.59%	5.34%
74	2.12%	2.74%	1.59%	5.75%	6.98%	4.86%
73	1.95%	2.53%	1.45%	5.28%	6.42%	4.43%
72	1.8%	2.34%	1.34%	4.86%	5.92%	4.05%
71	1.67%	2.17%	1.23%	4.4%	5.38%	3.63%
70	1.54%	2.01%	1.12%	4.11%	5.03%	3.39%
69	1.42%	1.86%	1.02%	3.72%	4.59%	3.03%
68	1.32%	1.73%	0.94%	3.43%	4.25%	2.78%
67	1.23%	1.61%	0.86%	3.15%	3.93%	2.54%
66	1.14%	1.49%	0.79%	2.9%	3.64%	2.33%
65	1.05%	1.39%	0.73%	2.7%	3.4%	2.17%
64	0.98%	1.29%	0.67%	2.47%	3.15%	1.97%
63	0.9%	1.19%	0.62%	2.27%	2.92%	1.8%
62	0.82%	1.08%	0.57%	2.09%	2.7%	1.65%
61	0.75%	0.98%	0.52%	1.9%	2.48%	1.49%
60	0.69%	0.89%	0.48%	1.77%	2.32%	1.39%
59	0.62%	0.81%	0.44%	1.62%	2.12%	1.25%
58	0.57%	0.74%	0.39%	1.5%	1.97%	1.15%
57	0.51%	0.66%	0.36%	1.4%	1.83%	1.06%
56	0.46%	0.6%	0.33%	1.31%	1.7%	0.98%
55	0.42%	0.54%	0.29%	1.23%	1.59%	0.91%
54	0.37%	0.48%	0.26%	1.16%	1.49%	0.85%
53	0.33%	0.43%	0.24%	1.09%	1.39%	0.79%
52	0.29%	0.38%	0.21%	1.02%	1.3%	0.74%
51	0.26%	0.33%	0.19%	0.94%	1.21%	0.67%
50	0.24%	0.3%	0.17%	0.89%	1.14%	0.63%
49	0.21%	0.27%	0.16%	0.82%	1.05%	0.58%
48	0.19%	0.24%	0.14%	0.76%	0.98%	0.54%
47	0.17%	0.21%	0.12%	0.7%	0.91%	0.5%
46	0.15%	0.19%	0.11%	0.65%	0.84%	0.46%
45	0.14%	0.17%	0.1%	0.6%	0.79%	0.43%
44	0.12%	0.16%	0.09%	0.56%	0.74%	0.4%
43	0.11%	0.14%	0.08%	0.52%	0.69%	0.37%
42	0.1%	0.13%	0.07%	0.49%	0.65%	0.35%
41	0.09%	0.12%	0.07%	0.45%	0.6%	0.33%
40	0.09%	0.11%	0.06%	0.43%	0.57%	0.31%
39	0.08%	0.1%	0.06%	0.4%	0.53%	0.29%
38	0.07%	0.09%	0.05%	0.38%	0.5%	0.27%
37	0.07%	0.08%	0.05%	0.35%	0.47%	0.25%
36	0.06%	0.08%	0.04%	0.33%	0.44%	0.23%
35	0.06%	0.07%	0.04%	0.31%	0.42%	0.22%
34	0.05%	0.07%	0.04%	0.29%	0.39%	0.21%
33	0.05%	0.06%	0.03%	0.28%	0.37%	0.19%
32	0.05%	0.06%	0.03%	0.26%	0.35%	0.18%
31	0.04%	0.05%	0.03%	0.25%	0.33%	0.17%
30	0.04%	0.05%	0.03%	0.24%	0.32%	0.16%
29	0.04%	0.05%	0.02%	0.23%	0.3%	0.15%
28	0.03%	0.04%	0.02%	0.22%	0.29%	0.15%
27	0.03%	0.04%	0.02%	0.21%	0.27%	0.14%
26	0.03%	0.04%	0.02%	0.2%	0.26%	0.13%
25	0.03%	0.04%	0.02%	0.19%	0.25%	0.13%
24	0.03%	0.04%	0.02%	0.18%	0.24%	0.12%
23	0.03%	0.04%	0.02%	0.18%	0.24%	0.12%
22	0.03%	0.04%	0.01%	0.17%	0.23%	0.11%
21	0.03%	0.04%	0.01%	0.16%	0.21%	0.11%
20	0.03%	0.04%	0.02%	0.15%	0.2%	0.1%
19	0.03%	0.03%	0.02%	0.14%	0.19%	0.1%
18	0.02%	0.03%	0.01%	0.13%	0.17%	0.09%
17	0.02%	0.03%	0.01%	0.11%	0.15%	0.08%
16	0.02%	0.02%	0.01%	0.1%	0.12%	0.08%
15	0.01%	0.01%	0.01%	0.09%	0.1%	0.07%
14	0.009%	0.01%	0.009%	0.07%	0.09%	0.06%
13	0.008%	0.008%	0.008%	0.07%	0.08%	0.06%
12	0.007%	0.007%	0.007%	0.06%	0.07%	0.05%
11	0.006%	0.006%	0.006%	0.06%	0.07%	0.05%
10	0.006%	0.006%	0.005%	0.06%	0.07%	0.05%
9	0.006%	0.006%	0.005%	0.07%	0.07%	0.06%
8	0.006%	0.007%	0.005%	0.07%	0.08%	0.06%
7	0.006%	0.007%	0.005%	0.08%	0.09%	0.07%
6	0.007%	0.008%	0.006%	0.09%	0.1%	0.08%
5	0.008%	0.008%	0.007%	0.1%	0.11%	0.09%
4	0.008%	0.009%	0.008%	0.13%	0.14%	0.12%
3	0.009%	0.009%	0.008%	0.17%	0.19%	0.16%
2	0.01%	0.01%	0.009%	0.25%	0.27%	0.22%
1	0.03%	0.03%	0.02%	0.39%	0.42%	0.36%
0	0.26%	0.28%	0.24%	2.76%	3.13%	2.38%

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

The annual chance of dying is 0.26% in the birth year in Germany and 2.76% in Malawi, 0.04% vs 0.24% at age 30, 0.69% vs 1.77% at 60, and 4.06% vs 9.44% at 80.

Death rate by age in Germany vs Malawi

Chart Table

Germany

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	Germany			Malawi
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	34.7	0.008	71
99	874	530	1,197	145.2	62.6	229.1
98	1,217	768	1,642	204.3	91.9	318
97	1,623	1,066	2,155	283.6	133.3	435
96	2,070	1,421	2,698	384	188.4	580
95	2,537	1,824	3,236	505	259.5	751
94	3,012	2,264	3,756	643	345	939
93	3,456	2,699	4,218	802	451	1,153
92	3,843	3,091	4,602	983	576	1,387
91	4,141	3,427	4,868	1,166	714	1,612
90	4,341	3,710	4,988	1,399	890	1,900
89	4,447	3,930	4,984	1,594	1,061	2,117
88	4,458	4,061	4,878	1,819	1,259	2,365
87	4,390	4,114	4,689	2,026	1,457	2,578
86	4,248	4,095	4,424	2,231	1,664	2,778
85	4,039	3,995	4,101	2,412	1,861	2,944
84	3,788	3,836	3,753	2,577	2,061	3,073
83	3,517	3,640	3,402	2,684	2,217	3,131
82	3,238	3,424	3,062	2,777	2,368	3,168
81	2,964	3,202	2,740	2,788	2,455	3,104
80	2,702	2,979	2,436	2,887	2,601	3,158
79	2,452	2,760	2,150	2,894	2,661	3,115
78	2,230	2,560	1,904	2,915	2,734	3,085
77	2,048	2,391	1,710	2,869	2,749	2,989
76	1,900	2,250	1,561	2,847	2,770	2,916
75	1,777	2,125	1,442	2,815	2,769	2,834
74	1,662	2,004	1,335	2,739	2,737	2,711
73	1,560	1,893	1,240	2,655	2,691	2,586
72	1,471	1,797	1,157	2,572	2,639	2,467
71	1,389	1,705	1,078	2,433	2,537	2,293
70	1,300	1,607	995	2,371	2,494	2,214
69	1,217	1,514	916	2,226	2,386	2,040
68	1,142	1,432	848	2,127	2,309	1,930
67	1,075	1,357	788	2,016	2,222	1,808
66	1,007	1,280	730	1,912	2,137	1,699
65	943	1,205	676	1,828	2,067	1,615
64	884	1,135	627	1,716	1,973	1,499
63	821	1,055	579	1,612	1,883	1,395
62	757	972	534	1,516	1,794	1,300
61	699	895	495	1,405	1,687	1,188
60	642	821	457	1,338	1,616	1,125
59	587	753	416	1,239	1,510	1,025
58	535	687	378	1,171	1,430	958
57	487	623	346	1,102	1,350	887
56	441	563	316	1,048	1,282	833
55	398	508	285.7	996	1,219	778
54	358	456	256.9	949	1,157	731
53	320	407	231.5	900	1,096	684
52	284.9	360	208.4	855	1,040	645
51	254.5	320	188	798	975	592
50	229.5	287.6	170.4	759	929	563
49	207	259.3	153.8	702	865	517
48	185.3	232.3	137.5	655	813	482
47	165.7	208.4	122.3	609	762	446
46	149.1	188.7	108.9	568	716	416
45	134.2	170.5	97.3	533	677	392
44	120.3	152.3	87.5	496	634	365
43	108.4	137.1	78.7	465	598	343
42	99.4	126.7	71	438	566	324
41	91.5	117.1	64.6	408	530	299.9
40	84.2	107.7	59.5	388	506	285.2
39	76.9	97.9	54.6	363	474	265.1
38	70.3	89.5	49.8	343	449	249.3
37	64.7	83.1	44.9	322	423	232
36	59.4	77	40.6	304	399	218.8
35	55	71.1	37.8	288.1	378	205.9
34	51	65.8	35.2	271.5	356	192.6
33	47.6	61.9	32.2	257	337	181.7
32	44.7	58.3	30	244.2	320	171.7
31	42	54	28.8	230.4	302	160.6
30	38.5	49.5	26.4	222	290.7	154.7
29	34.9	45.3	23.4	210.9	276.4	146.2
28	32.1	42.4	20.8	201.9	265	139.1
27	30	40.3	18.5	193.4	254.5	132.5
26	28.6	39.3	16.8	185.6	245.1	126.3
25	27.6	38.6	15.7	178.7	237.2	120.4
24	26.9	37.6	15.2	172.2	229	115.6
23	26.2	36.7	15	165.6	221	110.5
22	25.7	36.2	14.6	158.7	211.8	105.8
21	25.6	36	14.7	151	201	101.2
20	26.1	36	15.5	143.1	189.1	97.4
19	25.3	34.6	15.4	133.8	175.4	92.3
18	22.9	30.7	14.5	123.3	160.2	86.6
17	19.5	25.1	13.6	108.6	137.6	79.6
16	15.5	18.8	12.1	94.9	117	72.7
15	12	13.8	10.2	82	98.8	65.2
14	9.35	10.1	8.53	71.7	85	58.4
13	7.7	7.78	7.61	64.5	75.3	53.7
12	6.7	6.53	6.87	60.4	70.1	50.6
11	6.08	6.17	5.99	59	68.1	49.8
10	5.74	6.23	5.22	59.7	68.2	51.1
9	5.49	6.23	4.71	62.8	71.3	54.1
8	5.54	6.48	4.56	68.3	77.3	59.2
7	5.96	6.94	4.91	76.3	85.7	66.7
6	6.74	7.49	5.95	85.9	95.4	76.4
5	7.69	8.09	7.28	100.2	110	90.4
4	8.4	8.73	8.05	126.8	139.2	114.2
3	8.73	9.26	8.17	168.3	184.6	151.7
2	10.1	11	9.22	237.5	258.9	215.8
1	27.4	29.9	24.7	379	404	353
0	263.3	281	244.7	2,759	3,129	2,385

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 Malawi. The median age of death is 85.1 in Germany and 73.1 in Malawi, 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 Malawi more than their death rates.

Life expectancy in other countries

+ -

1x