Life Expectancy in Liechtenstein vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

Liechtenstein

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	Liechtenstein			Malawi
	Average	Male	Female	Average	Male	Female
100	102.8	102.3	102.9	102.1	101.9	102.2
99	102	101.5	102.1	101.2	101	101.3
98	101.2	100.6	101.3	100.3	100.1	100.4
97	100.4	99.8	100.5	99.4	99.2	99.5
96	99.6	99	99.8	98.6	98.4	98.6
95	98.8	98.2	99.1	97.7	97.5	97.8
94	98.1	97.5	98.3	96.9	96.6	97
93	97.4	96.7	97.7	96	95.8	96.1
92	96.7	96	97	95.2	94.9	95.3
91	96	95.3	96.4	94.4	94.1	94.5
90	95.4	94.6	95.8	93.6	93.2	93.8
89	94.8	94	95.2	92.8	92.4	93
88	94.2	93.3	94.6	92.1	91.6	92.2
87	93.6	92.7	94.1	91.3	90.8	91.5
86	93	92.2	93.5	90.6	90.1	90.8
85	92.5	91.6	93	89.8	89.3	90.1
84	92	91.1	92.6	89.1	88.5	89.4
83	91.5	90.5	92.1	88.4	87.8	88.8
82	91	90.1	91.7	87.8	87.1	88.2
81	90.6	89.6	91.3	87.2	86.4	87.6
80	90.2	89.2	90.9	86.5	85.8	87
79	89.8	88.8	90.6	85.9	85.1	86.4
78	89.4	88.4	90.3	85.3	84.5	85.9
77	89.1	88	90	84.8	83.8	85.3
76	88.8	87.7	89.7	84.2	83.2	84.8
75	88.5	87.3	89.5	83.6	82.7	84.3
74	88.2	87	89.2	83.1	82.1	83.9
73	88	86.8	89	82.6	81.5	83.4
72	87.7	86.5	88.8	82.1	81	83
71	87.5	86.2	88.6	81.7	80.5	82.5
70	87.3	86	88.5	81.2	80	82.1
69	87.1	85.8	88.3	80.8	79.5	81.8
68	86.9	85.6	88.2	80.3	79	81.4
67	86.8	85.4	88	79.9	78.6	81
66	86.6	85.2	87.9	79.5	78.1	80.7
65	86.5	85	87.8	79.2	77.7	80.4
64	86.4	84.9	87.7	78.8	77.3	80
63	86.2	84.7	87.6	78.5	76.9	79.8
62	86.1	84.6	87.6	78.1	76.5	79.5
61	86	84.5	87.5	77.8	76.1	79.2
60	85.9	84.4	87.4	77.5	75.8	78.9
59	85.9	84.3	87.3	77.2	75.4	78.7
58	85.8	84.2	87.3	76.9	75.1	78.5
57	85.7	84.1	87.2	76.7	74.8	78.2
56	85.6	84	87.2	76.4	74.5	78
55	85.5	83.9	87.1	76.1	74.2	77.8
54	85.5	83.8	87.1	75.9	73.9	77.6
53	85.4	83.8	87	75.6	73.6	77.4
52	85.4	83.7	87	75.4	73.3	77.3
51	85.3	83.7	86.9	75.2	73	77.1
50	85.3	83.6	86.9	75	72.8	76.9
49	85.2	83.6	86.8	74.8	72.5	76.7
48	85.2	83.5	86.8	74.6	72.3	76.6
47	85.2	83.5	86.8	74.4	72.1	76.5
46	85.1	83.4	86.7	74.2	71.9	76.3
45	85.1	83.4	86.7	74	71.7	76.2
44	85.1	83.4	86.7	73.8	71.5	76.1
43	85.1	83.4	86.7	73.7	71.3	75.9
42	85	83.3	86.6	73.5	71.1	75.8
41	85	83.3	86.6	73.4	70.9	75.7
40	85	83.3	86.6	73.3	70.7	75.6
39	85	83.3	86.6	73.1	70.6	75.5
38	85	83.3	86.6	73	70.4	75.4
37	84.9	83.2	86.5	72.9	70.2	75.3
36	84.9	83.2	86.5	72.7	70.1	75.2
35	84.9	83.2	86.5	72.6	69.9	75.1
34	84.9	83.2	86.5	72.5	69.8	75
33	84.9	83.2	86.5	72.4	69.7	75
32	84.9	83.2	86.5	72.3	69.5	74.9
31	84.8	83.2	86.4	72.2	69.4	74.8
30	84.8	83.1	86.4	72.1	69.3	74.7
29	84.8	83.1	86.4	72	69.2	74.7
28	84.8	83.1	86.4	71.9	69.1	74.6
27	84.8	83.1	86.4	71.8	68.9	74.5
26	84.8	83.1	86.4	71.7	68.8	74.5
25	84.8	83.1	86.4	71.6	68.7	74.4
24	84.8	83.1	86.4	71.6	68.6	74.3
23	84.7	83.1	86.3	71.5	68.5	74.3
22	84.7	83	86.3	71.4	68.4	74.2
21	84.7	83	86.3	71.3	68.3	74.2
20	84.7	83	86.3	71.2	68.2	74.1
19	84.7	83	86.3	71.2	68.1	74.1
18	84.7	83	86.3	71.1	68	74
17	84.7	83	86.3	71	68	74
16	84.7	83	86.3	71	67.9	73.9
15	84.6	83	86.3	70.9	67.8	73.9
14	84.6	82.9	86.3	70.9	67.8	73.9
13	84.6	82.9	86.2	70.9	67.8	73.8
12	84.6	82.9	86.2	70.8	67.7	73.8
11	84.6	82.9	86.2	70.8	67.7	73.8
10	84.6	82.9	86.2	70.7	67.6	73.7
9	84.6	82.9	86.2	70.7	67.6	73.7
8	84.6	82.9	86.2	70.7	67.5	73.6
7	84.6	82.9	86.2	70.6	67.5	73.6
6	84.6	82.9	86.2	70.5	67.4	73.5
5	84.6	82.9	86.2	70.5	67.4	73.5
4	84.6	82.9	86.2	70.4	67.3	73.4
3	84.6	82.9	86.2	70.3	67.1	73.3
2	84.5	82.8	86.1	70.1	67	73.1
1	84.5	82.8	86.1	69.8	66.7	72.9
0	84.1	82.4	85.6	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 Liechtenstein can expect to live to 84.8 years compared to 72.1 in Malawi, rising to 86.5 and 79.2 at 65, and to 90.2 and 86.5 at 80 — higher than the 84.1 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Liechtenstein

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	Liechtenstein			Malawi
	Average	Male	Female	Average	Male	Female
100	4.72%	2.39%	6.58%	0.28%	0.11%	0.45%
99	6.27%	3.42%	8.63%	0.42%	0.17%	0.68%
98	8.18%	4.75%	11.1%	0.63%	0.26%	1%
97	10.4%	6.43%	13.9%	0.91%	0.4%	1.43%
96	13.1%	8.47%	17%	1.29%	0.58%	2.01%
95	16%	10.9%	20.5%	1.8%	0.84%	2.76%
94	19.3%	13.7%	24.2%	2.44%	1.19%	3.7%
93	22.9%	16.9%	28.2%	3.24%	1.64%	4.85%
92	26.6%	20.3%	32.4%	4.23%	2.22%	6.24%
91	30.5%	24.1%	36.6%	5.39%	2.93%	7.85%
90	34.6%	28%	40.9%	6.79%	3.82%	9.75%
89	38.7%	32.1%	45.1%	8.39%	4.88%	11.9%
88	42.9%	36.3%	49.3%	10.2%	6.14%	14.2%
87	47%	40.5%	53.4%	12.2%	7.6%	16.8%
86	51%	44.7%	57.3%	14.5%	9.26%	19.6%
85	55%	48.8%	61.1%	16.9%	11.1%	22.5%
84	58.7%	52.8%	64.8%	19.5%	13.2%	25.6%
83	62.4%	56.7%	68.2%	22.1%	15.4%	28.7%
82	65.8%	60.3%	71.3%	24.9%	17.8%	31.9%
81	68.9%	63.7%	74.2%	27.7%	20.2%	35%
80	71.8%	66.9%	76.8%	30.6%	22.8%	38.2%
79	74.5%	69.8%	79.2%	33.5%	25.5%	41.3%
78	76.9%	72.5%	81.3%	36.4%	28.2%	44.4%
77	79.1%	75%	83.2%	39.3%	31%	47.4%
76	81.1%	77.3%	84.9%	42.1%	33.7%	50.3%
75	83%	79.4%	86.4%	44.9%	36.5%	53.1%
74	84.6%	81.4%	87.7%	47.7%	39.2%	55.8%
73	86.1%	83.2%	88.9%	50.3%	41.9%	58.4%
72	87.4%	84.8%	90%	52.9%	44.6%	60.9%
71	88.6%	86.2%	91%	55.3%	47.1%	63.2%
70	89.7%	87.6%	91.8%	57.7%	49.6%	65.4%
69	90.7%	88.8%	92.6%	59.9%	52%	67.4%
68	91.6%	89.9%	93.2%	62.1%	54.3%	69.4%
67	92.3%	90.8%	93.8%	64.1%	56.5%	71.2%
66	93%	91.7%	94.3%	66%	58.7%	72.9%
65	93.6%	92.4%	94.8%	67.8%	60.7%	74.5%
64	94.2%	93.1%	95.2%	69.5%	62.7%	76%
63	94.6%	93.7%	95.5%	71.1%	64.6%	77.4%
62	95.1%	94.3%	95.8%	72.7%	66.4%	78.7%
61	95.4%	94.8%	96.1%	74.1%	68.1%	79.9%
60	95.8%	95.2%	96.4%	75.4%	69.7%	81%
59	96.1%	95.7%	96.6%	76.6%	71.2%	82%
58	96.4%	96%	96.8%	77.8%	72.6%	83%
57	96.7%	96.4%	97%	78.9%	74%	83.8%
56	96.9%	96.7%	97.2%	80%	75.2%	84.7%
55	97.2%	96.9%	97.4%	81%	76.5%	85.5%
54	97.3%	97.2%	97.5%	81.9%	77.6%	86.2%
53	97.5%	97.4%	97.6%	82.8%	78.7%	86.9%
52	97.7%	97.6%	97.8%	83.7%	79.8%	87.5%
51	97.8%	97.7%	97.9%	84.5%	80.7%	88.1%
50	97.9%	97.9%	98%	85.2%	81.7%	88.7%
49	98%	98%	98.1%	85.9%	82.5%	89.2%
48	98.2%	98.1%	98.2%	86.6%	83.3%	89.7%
47	98.2%	98.2%	98.3%	87.2%	84.1%	90.1%
46	98.3%	98.3%	98.3%	87.7%	84.8%	90.5%
45	98.4%	98.4%	98.4%	88.3%	85.5%	90.9%
44	98.5%	98.5%	98.5%	88.8%	86.1%	91.3%
43	98.5%	98.5%	98.5%	89.2%	86.7%	91.6%
42	98.6%	98.6%	98.6%	89.7%	87.3%	92%
41	98.6%	98.6%	98.6%	90.1%	87.8%	92.3%
40	98.7%	98.7%	98.7%	90.5%	88.3%	92.5%
39	98.7%	98.7%	98.7%	90.8%	88.8%	92.8%
38	98.8%	98.8%	98.8%	91.2%	89.3%	93.1%
37	98.8%	98.8%	98.8%	91.5%	89.7%	93.3%
36	98.8%	98.8%	98.8%	91.8%	90.1%	93.5%
35	98.9%	98.9%	98.9%	92.1%	90.5%	93.7%
34	98.9%	98.9%	98.9%	92.4%	90.8%	93.9%
33	98.9%	98.9%	98.9%	92.6%	91.1%	94.1%
32	98.9%	98.9%	98.9%	92.9%	91.5%	94.3%
31	99%	99%	99%	93.1%	91.8%	94.4%
30	99%	99%	99%	93.3%	92.1%	94.6%
29	99%	99%	99%	93.5%	92.3%	94.7%
28	99%	99%	99%	93.7%	92.6%	94.9%
27	99.1%	99.1%	99.1%	93.9%	92.9%	95%
26	99.1%	99.1%	99.1%	94.1%	93.1%	95.1%
25	99.1%	99.1%	99.1%	94.3%	93.3%	95.2%
24	99.1%	99.1%	99.1%	94.5%	93.6%	95.4%
23	99.1%	99.1%	99.1%	94.6%	93.8%	95.5%
22	99.2%	99.2%	99.2%	94.8%	94%	95.6%
21	99.2%	99.2%	99.2%	94.9%	94.2%	95.7%
20	99.2%	99.2%	99.2%	95.1%	94.4%	95.8%
19	99.2%	99.2%	99.2%	95.2%	94.6%	95.9%
18	99.2%	99.3%	99.2%	95.3%	94.7%	96%
17	99.3%	99.3%	99.2%	95.4%	94.9%	96%
16	99.3%	99.3%	99.3%	95.5%	95%	96.1%
15	99.3%	99.3%	99.3%	95.6%	95.1%	96.2%
14	99.3%	99.3%	99.3%	95.7%	95.2%	96.2%
13	99.3%	99.3%	99.3%	95.8%	95.2%	96.3%
12	99.3%	99.3%	99.3%	95.8%	95.3%	96.3%
11	99.3%	99.3%	99.3%	95.9%	95.4%	96.4%
10	99.3%	99.4%	99.3%	95.9%	95.4%	96.4%
9	99.3%	99.4%	99.3%	96%	95.5%	96.5%
8	99.3%	99.4%	99.3%	96.1%	95.6%	96.5%
7	99.4%	99.4%	99.3%	96.1%	95.7%	96.6%
6	99.4%	99.4%	99.3%	96.2%	95.8%	96.7%
5	99.4%	99.4%	99.4%	96.3%	95.9%	96.8%
4	99.4%	99.4%	99.4%	96.5%	96%	96.9%
3	99.4%	99.4%	99.4%	96.6%	96.2%	97%
2	99.4%	99.5%	99.4%	96.9%	96.5%	97.3%
1	99.5%	99.5%	99.5%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 95.8% of newborns in Liechtenstein and 75.4% in Malawi are expected to live past 60, 89.7% and 57.7% past 70, 71.8% and 30.6% past 80, and only 34.6% 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

Liechtenstein

Male

Female

Malawi

Male

Female

1x

Age	Probability of dying
	Liechtenstein			Malawi
	Average	Male	Female	Average	Male	Female
100	26.4%	32%	25.3%	35.9%	38.2%	35.3%
99	24.8%	30%	23.7%	34.4%	36.8%	33.8%
98	23.3%	28%	21.9%	32.6%	35.1%	31.9%
97	21.7%	26.1%	20.2%	31.2%	33.7%	30.4%
96	20%	24.1%	18.6%	29.7%	32.3%	28.8%
95	18.6%	22.3%	17%	28.1%	30.8%	27.2%
94	17.1%	20.4%	15.5%	26.3%	29.1%	25.4%
93	15.4%	18.7%	14.1%	24.7%	27.5%	23.7%
92	14%	17.1%	12.8%	23.3%	26%	22.2%
91	12.9%	15.5%	11.6%	21.6%	24.4%	20.5%
90	11.8%	14.1%	10.4%	20.6%	23.3%	19.5%
89	10.7%	12.8%	9.41%	19%	21.7%	17.8%
88	9.63%	11.5%	8.48%	17.8%	20.5%	16.6%
87	8.72%	10.4%	7.65%	16.6%	19.2%	15.3%
86	7.97%	9.39%	6.9%	15.4%	18%	14.2%
85	7.15%	8.44%	6.22%	14.3%	16.7%	13.1%
84	6.41%	7.57%	5.58%	13.3%	15.6%	12%
83	5.8%	6.77%	4.99%	12.1%	14.4%	10.9%
82	5.19%	6.04%	4.43%	11.1%	13.3%	9.93%
81	4.58%	5.36%	3.9%	10.1%	12.1%	8.87%
80	4.06%	4.76%	3.42%	9.44%	11.4%	8.27%
79	3.57%	4.22%	2.98%	8.65%	10.4%	7.55%
78	3.14%	3.74%	2.6%	8.01%	9.69%	6.95%
77	2.79%	3.33%	2.26%	7.31%	8.88%	6.31%
76	2.48%	2.97%	1.98%	6.76%	8.21%	5.8%
75	2.2%	2.65%	1.74%	6.27%	7.59%	5.34%
74	1.93%	2.38%	1.53%	5.75%	6.98%	4.86%
73	1.71%	2.13%	1.35%	5.28%	6.42%	4.43%
72	1.54%	1.91%	1.19%	4.86%	5.92%	4.05%
71	1.37%	1.71%	1.05%	4.4%	5.38%	3.63%
70	1.22%	1.52%	0.93%	4.11%	5.03%	3.39%
69	1.08%	1.35%	0.82%	3.72%	4.59%	3.03%
68	0.95%	1.2%	0.71%	3.43%	4.25%	2.78%
67	0.83%	1.06%	0.62%	3.15%	3.93%	2.54%
66	0.73%	0.93%	0.54%	2.9%	3.64%	2.33%
65	0.64%	0.82%	0.47%	2.7%	3.4%	2.17%
64	0.57%	0.73%	0.41%	2.47%	3.15%	1.97%
63	0.51%	0.65%	0.36%	2.27%	2.92%	1.8%
62	0.45%	0.59%	0.32%	2.09%	2.7%	1.65%
61	0.41%	0.53%	0.29%	1.9%	2.48%	1.49%
60	0.37%	0.48%	0.27%	1.77%	2.32%	1.39%
59	0.34%	0.44%	0.24%	1.62%	2.12%	1.25%
58	0.3%	0.39%	0.22%	1.5%	1.97%	1.15%
57	0.28%	0.35%	0.2%	1.4%	1.83%	1.06%
56	0.25%	0.31%	0.19%	1.31%	1.7%	0.98%
55	0.22%	0.27%	0.17%	1.23%	1.59%	0.91%
54	0.2%	0.24%	0.16%	1.16%	1.49%	0.85%
53	0.17%	0.21%	0.14%	1.09%	1.39%	0.79%
52	0.16%	0.19%	0.13%	1.02%	1.3%	0.74%
51	0.14%	0.17%	0.12%	0.94%	1.21%	0.67%
50	0.13%	0.15%	0.11%	0.89%	1.14%	0.63%
49	0.12%	0.13%	0.1%	0.82%	1.05%	0.58%
48	0.11%	0.12%	0.09%	0.76%	0.98%	0.54%
47	0.1%	0.11%	0.09%	0.7%	0.91%	0.5%
46	0.09%	0.09%	0.08%	0.65%	0.84%	0.46%
45	0.08%	0.08%	0.07%	0.6%	0.79%	0.43%
44	0.07%	0.07%	0.06%	0.56%	0.74%	0.4%
43	0.06%	0.06%	0.06%	0.52%	0.69%	0.37%
42	0.05%	0.06%	0.05%	0.49%	0.65%	0.35%
41	0.05%	0.05%	0.05%	0.45%	0.6%	0.33%
40	0.05%	0.05%	0.05%	0.43%	0.57%	0.31%
39	0.04%	0.04%	0.04%	0.4%	0.53%	0.29%
38	0.04%	0.04%	0.04%	0.38%	0.5%	0.27%
37	0.04%	0.03%	0.04%	0.35%	0.47%	0.25%
36	0.03%	0.03%	0.03%	0.33%	0.44%	0.23%
35	0.03%	0.03%	0.03%	0.31%	0.42%	0.22%
34	0.03%	0.03%	0.03%	0.29%	0.39%	0.21%
33	0.03%	0.03%	0.03%	0.28%	0.37%	0.19%
32	0.03%	0.03%	0.03%	0.26%	0.35%	0.18%
31	0.03%	0.02%	0.03%	0.25%	0.33%	0.17%
30	0.02%	0.02%	0.03%	0.24%	0.32%	0.16%
29	0.02%	0.02%	0.02%	0.23%	0.3%	0.15%
28	0.02%	0.02%	0.02%	0.22%	0.29%	0.15%
27	0.02%	0.02%	0.02%	0.21%	0.27%	0.14%
26	0.02%	0.02%	0.02%	0.2%	0.26%	0.13%
25	0.02%	0.02%	0.02%	0.19%	0.25%	0.13%
24	0.02%	0.02%	0.02%	0.18%	0.24%	0.12%
23	0.02%	0.02%	0.02%	0.18%	0.24%	0.12%
22	0.02%	0.03%	0.02%	0.17%	0.23%	0.11%
21	0.02%	0.02%	0.02%	0.16%	0.21%	0.11%
20	0.02%	0.02%	0.02%	0.15%	0.2%	0.1%
19	0.02%	0.02%	0.02%	0.14%	0.19%	0.1%
18	0.02%	0.02%	0.01%	0.13%	0.17%	0.09%
17	0.02%	0.02%	0.01%	0.11%	0.15%	0.08%
16	0.01%	0.02%	0.01%	0.1%	0.12%	0.08%
15	0.01%	0.01%	0.01%	0.09%	0.1%	0.07%
14	0.01%	0.01%	0.009%	0.07%	0.09%	0.06%
13	0.009%	0.009%	0.008%	0.07%	0.08%	0.06%
12	0.008%	0.008%	0.008%	0.06%	0.07%	0.05%
11	0.008%	0.008%	0.007%	0.06%	0.07%	0.05%
10	0.008%	0.008%	0.007%	0.06%	0.07%	0.05%
9	0.008%	0.008%	0.008%	0.07%	0.07%	0.06%
8	0.009%	0.009%	0.008%	0.07%	0.08%	0.06%
7	0.01%	0.01%	0.01%	0.08%	0.09%	0.07%
6	0.01%	0.01%	0.01%	0.09%	0.1%	0.08%
5	0.01%	0.01%	0.01%	0.1%	0.11%	0.09%
4	0.02%	0.01%	0.02%	0.13%	0.14%	0.12%
3	0.02%	0.02%	0.02%	0.17%	0.19%	0.16%
2	0.02%	0.02%	0.03%	0.25%	0.27%	0.22%
1	0.03%	0.02%	0.04%	0.39%	0.42%	0.36%
0	0.53%	0.53%	0.54%	2.76%	3.13%	2.38%

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

The annual chance of dying is 0.53% in the birth year in Liechtenstein and 2.76% in Malawi, 0.02% vs 0.24% at age 30, 0.37% vs 1.77% at 60, and 4.06% vs 9.44% at 80.

Death rate by age in Liechtenstein vs Malawi

Chart Table

Liechtenstein

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	Liechtenstein			Malawi
	Total	Male	Female	Total	Male	Female
100	1,195	648	1,703	34.7	0.008	71
99	1,554	1,027	2,048	145.2	62.6	229.1
98	1,907	1,332	2,424	204.3	91.9	318
97	2,268	1,676	2,798	283.6	133.3	435
96	2,609	2,045	3,155	384	188.4	580
95	2,987	2,426	3,481	505	259.5	751
94	3,302	2,801	3,761	643	345	939
93	3,522	3,153	3,985	802	451	1,153
92	3,723	3,469	4,144	983	576	1,387
91	3,939	3,735	4,237	1,166	714	1,612
90	4,072	3,945	4,268	1,399	890	1,900
89	4,145	4,096	4,245	1,594	1,061	2,117
88	4,129	4,186	4,181	1,819	1,259	2,365
87	4,097	4,218	4,082	2,026	1,457	2,578
86	4,069	4,195	3,956	2,231	1,664	2,778
85	3,929	4,121	3,801	2,412	1,861	2,944
84	3,763	4,000	3,617	2,577	2,061	3,073
83	3,617	3,837	3,402	2,684	2,217	3,131
82	3,410	3,639	3,159	2,777	2,368	3,168
81	3,159	3,417	2,895	2,788	2,455	3,104
80	2,916	3,182	2,625	2,887	2,601	3,158
79	2,660	2,945	2,359	2,894	2,661	3,115
78	2,417	2,714	2,110	2,915	2,734	3,085
77	2,207	2,497	1,883	2,869	2,749	2,989
76	2,009	2,294	1,681	2,847	2,770	2,916
75	1,827	2,107	1,501	2,815	2,769	2,834
74	1,637	1,933	1,343	2,739	2,737	2,711
73	1,470	1,771	1,201	2,655	2,691	2,586
72	1,347	1,618	1,074	2,572	2,639	2,467
71	1,214	1,472	958	2,433	2,537	2,293
70	1,091	1,334	852	2,371	2,494	2,214
69	980	1,202	755	2,226	2,386	2,040
68	869	1,078	665	2,127	2,309	1,930
67	767	962	583	2,016	2,222	1,808
66	682	857	510	1,912	2,137	1,699
65	602	762	446	1,828	2,067	1,615
64	536	680	392	1,716	1,973	1,499
63	478	611	347	1,612	1,883	1,395
62	426	552	310	1,516	1,794	1,300
61	392	503	280.9	1,405	1,687	1,188
60	358	459	256.3	1,338	1,616	1,125
59	324	418	235.3	1,239	1,510	1,025
58	294.1	379	216.4	1,171	1,430	958
57	267.7	340	198.6	1,102	1,350	887
56	245.6	302	181.8	1,048	1,282	833
55	217.6	266.1	165.9	996	1,219	778
54	190.4	233.9	151.4	949	1,157	731
53	170.4	206	138.3	900	1,096	684
52	154.3	182.4	126.8	855	1,040	645
51	139	162.5	116.7	798	975	592
50	126.5	145.6	107.6	759	929	563
49	115.9	130.6	99.2	702	865	517
48	104.2	116.8	91.3	655	813	482
47	93.6	103.8	83.6	609	762	446
46	84	91.7	76.2	568	716	416
45	75.1	80.6	69.2	533	677	392
44	67	70.7	62.8	496	634	365
43	59.6	62.2	57.2	465	598	343
42	53.6	55.1	52.3	438	566	324
41	48.7	49.3	48.1	408	530	299.9
40	44.5	44.5	44.6	388	506	285.2
39	41.1	40.5	41.5	363	474	265.1
38	38.1	37.3	38.8	343	449	249.3
37	35.4	34.5	36.4	322	423	232
36	33.1	32.1	34.2	304	399	218.8
35	31.1	30.1	32.1	288.1	378	205.9
34	29.3	28.4	30.3	271.5	356	192.6
33	27.8	26.9	28.6	257	337	181.7
32	26.4	25.6	27.2	244.2	320	171.7
31	25.2	24.6	25.9	230.4	302	160.6
30	24.3	23.8	24.8	222	290.7	154.7
29	23.6	23.3	23.9	210.9	276.4	146.2
28	23	23.1	23	201.9	265	139.1
27	22.6	23.1	22.2	193.4	254.5	132.5
26	22.3	23.3	21.4	185.6	245.1	126.3
25	22.2	23.7	20.6	178.7	237.2	120.4
24	22	24.1	19.8	172.2	229	115.6
23	21.8	24.6	19	165.6	221	110.5
22	21.6	24.8	18.2	158.7	211.8	105.8
21	21	24.7	17.3	151	201	101.2
20	20.1	24	16.4	143.1	189.1	97.4
19	19.1	22.5	15.3	133.8	175.4	92.3
18	17.5	20.4	14	123.3	160.2	86.6
17	15.5	17.8	12.7	108.6	137.6	79.6
16	13.3	15	11.4	94.9	117	72.7
15	11.4	12.5	10.1	82	98.8	65.2
14	9.8	10.5	9.02	71.7	85	58.4
13	8.67	9.11	8.18	64.5	75.3	53.7
12	7.95	8.24	7.6	60.4	70.1	50.6
11	7.62	7.86	7.31	59	68.1	49.8
10	7.63	7.91	7.31	59.7	68.2	51.1
9	7.99	8.32	7.63	62.8	71.3	54.1
8	8.7	9.05	8.33	68.3	77.3	59.2
7	9.77	10	9.49	76.3	85.7	66.7
6	11.2	11.2	11.2	85.9	95.4	76.4
5	13.2	12.6	13.8	100.2	110	90.4
4	15.6	14.1	17.5	126.8	139.2	114.2
3	18.8	15.7	22.5	168.3	184.6	151.7
2	23	17.4	29.4	237.5	258.9	215.8
1	28.2	19.4	38.6	379	404	353
0	533	527	541	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 Liechtenstein, the most common age of death is 89, compared to 78 in Malawi. The median age of death is 86.3 in Liechtenstein 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 Liechtenstein and Malawi more than their death rates.

Life expectancy in other countries

+ -

1x