Life Expectancy in Liechtenstein vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Liechtenstein

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Liechtenstein			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.8	102.3	102.9	102.2	101.9	102.2
99	102	101.5	102.1	101.2	101	101.3
98	101.2	100.6	101.3	100.4	100.1	100.4
97	100.4	99.8	100.5	99.5	99.2	99.5
96	99.6	99	99.8	98.6	98.4	98.7
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	95.7	96.1
92	96.7	96	97	95.2	94.9	95.3
91	96	95.3	96.4	94.4	94	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	91.6	92.2
87	93.6	92.7	94.1	91.2	90.8	91.5
86	93	92.2	93.5	90.5	90	90.8
85	92.5	91.6	93	89.8	89.2	90.1
84	92	91.1	92.6	89	88.4	89.4
83	91.5	90.5	92.1	88.4	87.7	88.7
82	91	90.1	91.7	87.7	87	88.1
81	90.6	89.6	91.3	87	86.3	87.5
80	90.2	89.2	90.9	86.4	85.6	86.9
79	89.8	88.8	90.6	85.8	84.9	86.3
78	89.4	88.4	90.3	85.1	84.2	85.7
77	89.1	88	90	84.5	83.6	85.2
76	88.8	87.7	89.7	83.9	83	84.6
75	88.5	87.3	89.5	83.4	82.3	84.1
74	88.2	87	89.2	82.8	81.7	83.5
73	88	86.8	89	82.2	81.2	83
72	87.7	86.5	88.8	81.7	80.6	82.5
71	87.5	86.2	88.6	81.2	80	82.1
70	87.3	86	88.5	80.7	79.5	81.6
69	87.1	85.8	88.3	80.2	79	81.1
68	86.9	85.6	88.2	79.7	78.4	80.7
67	86.8	85.4	88	79.2	77.9	80.2
66	86.6	85.2	87.9	78.8	77.5	79.8
65	86.5	85	87.8	78.3	77	79.4
64	86.4	84.9	87.7	77.9	76.5	79
63	86.2	84.7	87.6	77.5	76.1	78.6
62	86.1	84.6	87.6	77.1	75.6	78.2
61	86	84.5	87.5	76.7	75.2	77.9
60	85.9	84.4	87.4	76.3	74.8	77.5
59	85.9	84.3	87.3	75.9	74.4	77.2
58	85.8	84.2	87.3	75.6	74	76.9
57	85.7	84.1	87.2	75.2	73.6	76.6
56	85.6	84	87.2	74.9	73.2	76.3
55	85.5	83.9	87.1	74.6	72.8	76
54	85.5	83.8	87.1	74.2	72.5	75.7
53	85.4	83.8	87	73.9	72.1	75.4
52	85.4	83.7	87	73.6	71.8	75.1
51	85.3	83.7	86.9	73.3	71.4	74.8
50	85.3	83.6	86.9	73	71.1	74.6
49	85.2	83.6	86.8	72.7	70.8	74.3
48	85.2	83.5	86.8	72.5	70.5	74
47	85.2	83.5	86.8	72.2	70.2	73.8
46	85.1	83.4	86.7	71.9	69.9	73.6
45	85.1	83.4	86.7	71.7	69.6	73.3
44	85.1	83.4	86.7	71.4	69.3	73.1
43	85.1	83.4	86.7	71.2	69	72.9
42	85	83.3	86.6	70.9	68.7	72.7
41	85	83.3	86.6	70.7	68.5	72.5
40	85	83.3	86.6	70.5	68.2	72.2
39	85	83.3	86.6	70.2	68	72
38	85	83.3	86.6	70	67.8	71.9
37	84.9	83.2	86.5	69.8	67.5	71.7
36	84.9	83.2	86.5	69.6	67.3	71.5
35	84.9	83.2	86.5	69.4	67.1	71.3
34	84.9	83.2	86.5	69.2	66.9	71.1
33	84.9	83.2	86.5	69	66.7	71
32	84.9	83.2	86.5	68.9	66.5	70.8
31	84.8	83.2	86.4	68.7	66.3	70.6
30	84.8	83.1	86.4	68.5	66.2	70.5
29	84.8	83.1	86.4	68.4	66	70.4
28	84.8	83.1	86.4	68.2	65.8	70.2
27	84.8	83.1	86.4	68.1	65.7	70.1
26	84.8	83.1	86.4	68	65.5	70
25	84.8	83.1	86.4	67.8	65.4	69.8
24	84.8	83.1	86.4	67.7	65.3	69.7
23	84.7	83.1	86.3	67.6	65.1	69.6
22	84.7	83	86.3	67.5	65	69.5
21	84.7	83	86.3	67.4	64.9	69.4
20	84.7	83	86.3	67.3	64.8	69.3
19	84.7	83	86.3	67.2	64.7	69.3
18	84.7	83	86.3	67.1	64.6	69.2
17	84.7	83	86.3	67	64.5	69.1
16	84.7	83	86.3	67	64.4	69.1
15	84.6	83	86.3	66.9	64.4	69
14	84.6	82.9	86.3	66.8	64.3	69
13	84.6	82.9	86.2	66.8	64.3	68.9
12	84.6	82.9	86.2	66.8	64.2	68.9
11	84.6	82.9	86.2	66.7	64.2	68.8
10	84.6	82.9	86.2	66.7	64.2	68.8
9	84.6	82.9	86.2	66.6	64.1	68.8
8	84.6	82.9	86.2	66.6	64.1	68.7
7	84.6	82.9	86.2	66.5	64	68.7
6	84.6	82.9	86.2	66.5	64	68.6
5	84.6	82.9	86.2	66.4	63.9	68.5
4	84.6	82.9	86.2	66.3	63.8	68.4
3	84.6	82.9	86.2	66.2	63.6	68.3
2	84.5	82.8	86.1	66	63.5	68.1
1	84.5	82.8	86.1	65.6	63.2	67.7
0	84.1	82.4	85.6	63.6	61	65.9

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 68.5 in Zimbabwe, rising to 86.5 and 78.3 at 65, and to 90.2 and 86.4 at 80 — higher than the 84.1 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Liechtenstein

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Liechtenstein			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	4.72%	2.39%	6.58%	0.2%	0.07%	0.33%
99	6.27%	3.42%	8.63%	0.31%	0.12%	0.5%
98	8.18%	4.75%	11.1%	0.46%	0.18%	0.73%
97	10.4%	6.43%	13.9%	0.66%	0.27%	1.05%
96	13.1%	8.47%	17%	0.94%	0.4%	1.47%
95	16%	10.9%	20.5%	1.3%	0.59%	2.02%
94	19.3%	13.7%	24.2%	1.77%	0.83%	2.71%
93	22.9%	16.9%	28.2%	2.36%	1.15%	3.55%
92	26.6%	20.3%	32.4%	3.08%	1.57%	4.57%
91	30.5%	24.1%	36.6%	3.95%	2.09%	5.75%
90	34.6%	28%	40.9%	4.99%	2.73%	7.15%
89	38.7%	32.1%	45.1%	6.18%	3.51%	8.72%
88	42.9%	36.3%	49.3%	7.56%	4.44%	10.5%
87	47%	40.5%	53.4%	9.1%	5.53%	12.4%
86	51%	44.7%	57.3%	10.8%	6.78%	14.5%
85	55%	48.8%	61.1%	12.7%	8.2%	16.8%
84	58.7%	52.8%	64.8%	14.7%	9.78%	19.1%
83	62.4%	56.7%	68.2%	16.8%	11.5%	21.5%
82	65.8%	60.3%	71.3%	19%	13.4%	24%
81	68.9%	63.7%	74.2%	21.2%	15.4%	26.4%
80	71.8%	66.9%	76.8%	23.5%	17.5%	28.8%
79	74.5%	69.8%	79.2%	25.9%	19.7%	31.3%
78	76.9%	72.5%	81.3%	28.3%	21.9%	33.8%
77	79.1%	75%	83.2%	30.7%	24.3%	36.3%
76	81.1%	77.3%	84.9%	33.2%	26.6%	38.7%
75	83%	79.4%	86.4%	35.6%	29%	41.2%
74	84.6%	81.4%	87.7%	38%	31.4%	43.6%
73	86.1%	83.2%	88.9%	40.4%	33.9%	45.9%
72	87.4%	84.8%	90%	42.8%	36.3%	48.2%
71	88.6%	86.2%	91%	45.1%	38.6%	50.4%
70	89.7%	87.6%	91.8%	47.3%	40.9%	52.6%
69	90.7%	88.8%	92.6%	49.5%	43.2%	54.7%
68	91.6%	89.9%	93.2%	51.6%	45.4%	56.7%
67	92.3%	90.8%	93.8%	53.6%	47.6%	58.6%
66	93%	91.7%	94.3%	55.6%	49.7%	60.5%
65	93.6%	92.4%	94.8%	57.6%	51.8%	62.3%
64	94.2%	93.1%	95.2%	59.5%	53.8%	64%
63	94.6%	93.7%	95.5%	61.2%	55.8%	65.7%
62	95.1%	94.3%	95.8%	63%	57.7%	67.2%
61	95.4%	94.8%	96.1%	64.6%	59.5%	68.7%
60	95.8%	95.2%	96.4%	66.2%	61.2%	70.1%
59	96.1%	95.7%	96.6%	67.6%	62.9%	71.4%
58	96.4%	96%	96.8%	69.1%	64.5%	72.7%
57	96.7%	96.4%	97%	70.4%	66%	73.9%
56	96.9%	96.7%	97.2%	71.7%	67.5%	75%
55	97.2%	96.9%	97.4%	72.9%	69%	76.1%
54	97.3%	97.2%	97.5%	74.1%	70.3%	77.2%
53	97.5%	97.4%	97.6%	75.2%	71.7%	78.2%
52	97.7%	97.6%	97.8%	76.3%	73%	79.1%
51	97.8%	97.7%	97.9%	77.4%	74.2%	80.1%
50	97.9%	97.9%	98%	78.4%	75.4%	81%
49	98%	98%	98.1%	79.4%	76.6%	81.8%
48	98.2%	98.1%	98.2%	80.3%	77.7%	82.6%
47	98.2%	98.2%	98.3%	81.2%	78.7%	83.4%
46	98.3%	98.3%	98.3%	82%	79.7%	84.1%
45	98.4%	98.4%	98.4%	82.9%	80.7%	84.8%
44	98.5%	98.5%	98.5%	83.6%	81.6%	85.5%
43	98.5%	98.5%	98.5%	84.4%	82.5%	86.1%
42	98.6%	98.6%	98.6%	85.1%	83.3%	86.7%
41	98.6%	98.6%	98.6%	85.8%	84.1%	87.3%
40	98.7%	98.7%	98.7%	86.4%	84.9%	87.9%
39	98.7%	98.7%	98.7%	87.1%	85.6%	88.4%
38	98.8%	98.8%	98.8%	87.7%	86.3%	89%
37	98.8%	98.8%	98.8%	88.2%	86.9%	89.5%
36	98.8%	98.8%	98.8%	88.8%	87.5%	89.9%
35	98.9%	98.9%	98.9%	89.3%	88.1%	90.4%
34	98.9%	98.9%	98.9%	89.8%	88.7%	90.8%
33	98.9%	98.9%	98.9%	90.2%	89.2%	91.2%
32	98.9%	98.9%	98.9%	90.7%	89.7%	91.6%
31	99%	99%	99%	91.1%	90.1%	91.9%
30	99%	99%	99%	91.4%	90.6%	92.3%
29	99%	99%	99%	91.8%	91%	92.6%
28	99%	99%	99%	92.1%	91.4%	92.9%
27	99.1%	99.1%	99.1%	92.5%	91.7%	93.2%
26	99.1%	99.1%	99.1%	92.8%	92.1%	93.5%
25	99.1%	99.1%	99.1%	93.1%	92.4%	93.7%
24	99.1%	99.1%	99.1%	93.3%	92.7%	93.9%
23	99.1%	99.1%	99.1%	93.6%	93%	94.2%
22	99.2%	99.2%	99.2%	93.8%	93.3%	94.4%
21	99.2%	99.2%	99.2%	94%	93.5%	94.5%
20	99.2%	99.2%	99.2%	94.2%	93.8%	94.7%
19	99.2%	99.2%	99.2%	94.4%	94%	94.9%
18	99.2%	99.3%	99.2%	94.6%	94.2%	95%
17	99.3%	99.3%	99.2%	94.7%	94.3%	95.1%
16	99.3%	99.3%	99.3%	94.8%	94.5%	95.2%
15	99.3%	99.3%	99.3%	94.9%	94.6%	95.3%
14	99.3%	99.3%	99.3%	95%	94.7%	95.4%
13	99.3%	99.3%	99.3%	95.1%	94.8%	95.5%
12	99.3%	99.3%	99.3%	95.2%	94.8%	95.6%
11	99.3%	99.3%	99.3%	95.3%	94.9%	95.6%
10	99.3%	99.4%	99.3%	95.3%	95%	95.7%
9	99.3%	99.4%	99.3%	95.4%	95.1%	95.8%
8	99.3%	99.4%	99.3%	95.5%	95.1%	95.8%
7	99.4%	99.4%	99.3%	95.6%	95.2%	95.9%
6	99.4%	99.4%	99.3%	95.7%	95.3%	96%
5	99.4%	99.4%	99.4%	95.8%	95.5%	96.1%
4	99.4%	99.4%	99.4%	95.9%	95.6%	96.3%
3	99.4%	99.4%	99.4%	96.2%	95.8%	96.5%
2	99.4%	99.5%	99.4%	96.5%	96.1%	96.8%
1	99.5%	99.5%	99.5%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 95.8% of newborns in Liechtenstein and 66.2% in Zimbabwe are expected to live past 60, 89.7% and 47.3% past 70, 71.8% and 23.5% past 80, and only 34.6% and 4.99% 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

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Liechtenstein			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	26.4%	32%	25.3%	35.7%	38.2%	35%
99	24.8%	30%	23.7%	34.3%	36.9%	33.6%
98	23.3%	28%	21.9%	32.4%	35.2%	31.7%
97	21.7%	26.1%	20.2%	31.1%	33.9%	30.2%
96	20%	24.1%	18.6%	29.6%	32.5%	28.7%
95	18.6%	22.3%	17%	28.1%	31%	27.1%
94	17.1%	20.4%	15.5%	26.4%	29.5%	25.4%
93	15.4%	18.7%	14.1%	24.9%	27.9%	23.7%
92	14%	17.1%	12.8%	23.5%	26.4%	22.2%
91	12.9%	15.5%	11.6%	21.9%	24.9%	20.6%
90	11.8%	14.1%	10.4%	20.9%	23.7%	19.6%
89	10.7%	12.8%	9.41%	19.3%	22.2%	18%
88	9.63%	11.5%	8.48%	18.2%	20.9%	16.8%
87	8.72%	10.4%	7.65%	16.9%	19.7%	15.6%
86	7.97%	9.39%	6.9%	15.8%	18.5%	14.5%
85	7.15%	8.44%	6.22%	14.7%	17.3%	13.3%
84	6.41%	7.57%	5.58%	13.6%	16.2%	12.3%
83	5.8%	6.77%	4.99%	12.5%	15%	11.2%
82	5.19%	6.04%	4.43%	11.6%	14%	10.2%
81	4.58%	5.36%	3.9%	10.5%	12.9%	9.17%
80	4.06%	4.76%	3.42%	9.89%	12.1%	8.58%
79	3.57%	4.22%	2.98%	9.11%	11.1%	7.87%
78	3.14%	3.74%	2.6%	8.54%	10.4%	7.38%
77	2.79%	3.33%	2.26%	7.89%	9.57%	6.81%
76	2.48%	2.97%	1.98%	7.37%	8.9%	6.37%
75	2.2%	2.65%	1.74%	6.87%	8.28%	5.94%
74	1.93%	2.38%	1.53%	6.38%	7.68%	5.51%
73	1.71%	2.13%	1.35%	5.92%	7.12%	5.11%
72	1.54%	1.91%	1.19%	5.51%	6.62%	4.76%
71	1.37%	1.71%	1.05%	5.06%	6.09%	4.37%
70	1.22%	1.52%	0.93%	4.75%	5.7%	4.11%
69	1.08%	1.35%	0.82%	4.38%	5.25%	3.78%
68	0.95%	1.2%	0.71%	4.09%	4.9%	3.54%
67	0.83%	1.06%	0.62%	3.82%	4.56%	3.31%
66	0.73%	0.93%	0.54%	3.58%	4.26%	3.1%
65	0.64%	0.82%	0.47%	3.38%	4.01%	2.93%
64	0.57%	0.73%	0.41%	3.14%	3.74%	2.7%
63	0.51%	0.65%	0.36%	2.92%	3.5%	2.49%
62	0.45%	0.59%	0.32%	2.73%	3.28%	2.31%
61	0.41%	0.53%	0.29%	2.53%	3.04%	2.13%
60	0.37%	0.48%	0.27%	2.37%	2.87%	1.99%
59	0.34%	0.44%	0.24%	2.19%	2.65%	1.85%
58	0.3%	0.39%	0.22%	2.04%	2.48%	1.73%
57	0.28%	0.35%	0.2%	1.91%	2.33%	1.62%
56	0.25%	0.31%	0.19%	1.79%	2.2%	1.53%
55	0.22%	0.27%	0.17%	1.69%	2.09%	1.44%
54	0.2%	0.24%	0.16%	1.6%	1.97%	1.36%
53	0.17%	0.21%	0.14%	1.52%	1.87%	1.29%
52	0.16%	0.19%	0.13%	1.44%	1.78%	1.23%
51	0.14%	0.17%	0.12%	1.36%	1.68%	1.15%
50	0.13%	0.15%	0.11%	1.3%	1.6%	1.1%
49	0.12%	0.13%	0.1%	1.22%	1.5%	1.03%
48	0.11%	0.12%	0.09%	1.16%	1.41%	0.98%
47	0.1%	0.11%	0.09%	1.09%	1.33%	0.92%
46	0.09%	0.09%	0.08%	1.04%	1.25%	0.87%
45	0.08%	0.08%	0.07%	0.99%	1.19%	0.83%
44	0.07%	0.07%	0.06%	0.93%	1.12%	0.78%
43	0.06%	0.06%	0.06%	0.89%	1.06%	0.75%
42	0.05%	0.06%	0.05%	0.84%	1%	0.71%
41	0.05%	0.05%	0.05%	0.8%	0.95%	0.68%
40	0.05%	0.05%	0.05%	0.76%	0.9%	0.65%
39	0.04%	0.04%	0.04%	0.72%	0.85%	0.62%
38	0.04%	0.04%	0.04%	0.68%	0.8%	0.59%
37	0.04%	0.03%	0.04%	0.64%	0.75%	0.55%
36	0.03%	0.03%	0.03%	0.61%	0.71%	0.53%
35	0.03%	0.03%	0.03%	0.57%	0.66%	0.5%
34	0.03%	0.03%	0.03%	0.54%	0.62%	0.47%
33	0.03%	0.03%	0.03%	0.5%	0.58%	0.44%
32	0.03%	0.03%	0.03%	0.47%	0.54%	0.41%
31	0.03%	0.02%	0.03%	0.44%	0.51%	0.39%
30	0.02%	0.02%	0.03%	0.42%	0.48%	0.37%
29	0.02%	0.02%	0.02%	0.4%	0.45%	0.35%
28	0.02%	0.02%	0.02%	0.37%	0.42%	0.33%
27	0.02%	0.02%	0.02%	0.35%	0.4%	0.31%
26	0.02%	0.02%	0.02%	0.33%	0.37%	0.29%
25	0.02%	0.02%	0.02%	0.31%	0.35%	0.26%
24	0.02%	0.02%	0.02%	0.29%	0.33%	0.25%
23	0.02%	0.02%	0.02%	0.27%	0.31%	0.23%
22	0.02%	0.03%	0.02%	0.25%	0.29%	0.21%
21	0.02%	0.02%	0.02%	0.23%	0.27%	0.19%
20	0.02%	0.02%	0.02%	0.21%	0.25%	0.18%
19	0.02%	0.02%	0.02%	0.19%	0.22%	0.16%
18	0.02%	0.02%	0.01%	0.17%	0.2%	0.15%
17	0.02%	0.02%	0.01%	0.15%	0.17%	0.13%
16	0.01%	0.02%	0.01%	0.13%	0.14%	0.12%
15	0.01%	0.01%	0.01%	0.11%	0.12%	0.1%
14	0.01%	0.01%	0.009%	0.1%	0.1%	0.09%
13	0.009%	0.009%	0.008%	0.08%	0.09%	0.08%
12	0.008%	0.008%	0.008%	0.08%	0.08%	0.07%
11	0.008%	0.008%	0.007%	0.07%	0.08%	0.07%
10	0.008%	0.008%	0.007%	0.07%	0.08%	0.07%
9	0.008%	0.008%	0.008%	0.08%	0.08%	0.07%
8	0.009%	0.009%	0.008%	0.08%	0.09%	0.08%
7	0.01%	0.01%	0.01%	0.09%	0.1%	0.09%
6	0.01%	0.01%	0.01%	0.1%	0.11%	0.1%
5	0.01%	0.01%	0.01%	0.12%	0.13%	0.12%
4	0.02%	0.01%	0.02%	0.16%	0.17%	0.16%
3	0.02%	0.02%	0.02%	0.22%	0.22%	0.22%
2	0.02%	0.02%	0.03%	0.32%	0.32%	0.32%
1	0.03%	0.02%	0.04%	0.5%	0.48%	0.52%
0	0.53%	0.53%	0.54%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.53% in the birth year in Liechtenstein and 3.05% in Zimbabwe, 0.02% vs 0.42% at age 30, 0.37% vs 2.37% at 60, and 4.06% vs 9.89% at 80.

Death rate by age in Liechtenstein vs Zimbabwe

Chart Table

Liechtenstein

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Liechtenstein			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	1,195	648	1,703	24.9	0	53
99	1,554	1,027	2,048	105.4	43.2	168.4
98	1,907	1,332	2,424	147.6	63.5	232.4
97	2,268	1,676	2,798	205	92.4	318
96	2,609	2,045	3,155	277.6	131.3	423
95	2,987	2,426	3,481	366	181.8	548
94	3,302	2,801	3,761	469	244.7	687
93	3,522	3,153	3,985	588	322	843
92	3,723	3,469	4,144	724	414	1,016
91	3,939	3,735	4,237	863	518	1,184
90	4,072	3,945	4,268	1,040	647	1,401
89	4,145	4,096	4,245	1,196	779	1,570
88	4,129	4,186	4,181	1,372	930	1,762
87	4,097	4,218	4,082	1,540	1,088	1,934
86	4,069	4,195	3,956	1,709	1,253	2,102
85	3,929	4,121	3,801	1,858	1,418	2,232
84	3,763	4,000	3,617	1,999	1,583	2,345
83	3,617	3,837	3,402	2,102	1,730	2,403
82	3,410	3,639	3,159	2,197	1,873	2,450
81	3,159	3,417	2,895	2,235	1,982	2,419
80	2,916	3,182	2,625	2,328	2,113	2,474
79	2,660	2,945	2,359	2,358	2,186	2,465
78	2,417	2,714	2,110	2,416	2,272	2,497
77	2,207	2,497	1,883	2,424	2,321	2,470
76	2,009	2,294	1,681	2,444	2,370	2,468
75	1,827	2,107	1,501	2,448	2,404	2,446
74	1,637	1,933	1,343	2,427	2,414	2,401
73	1,470	1,771	1,201	2,393	2,412	2,346
72	1,347	1,618	1,074	2,356	2,400	2,294
71	1,214	1,472	958	2,281	2,352	2,203
70	1,091	1,334	852	2,250	2,336	2,164
69	980	1,202	755	2,166	2,269	2,069
68	869	1,078	665	2,111	2,224	2,007
67	767	962	583	2,050	2,172	1,938
66	682	857	510	1,993	2,121	1,875
65	602	762	446	1,945	2,075	1,824
64	536	680	392	1,866	2,014	1,726
63	478	611	347	1,790	1,952	1,636
62	426	552	310	1,718	1,890	1,553
61	392	503	280.9	1,632	1,809	1,463
60	358	459	256.3	1,571	1,756	1,398
59	324	418	235.3	1,481	1,664	1,318
58	294.1	379	216.4	1,411	1,599	1,257
57	267.7	340	198.6	1,341	1,537	1,197
56	245.6	302	181.8	1,284	1,485	1,146
55	217.6	266.1	165.9	1,233	1,440	1,097
54	190.4	233.9	151.4	1,184	1,389	1,052
53	170.4	206	138.3	1,140	1,342	1,009
52	154.3	182.4	126.8	1,100	1,298	971
51	139	162.5	116.7	1,050	1,245	925
50	126.5	145.6	107.6	1,018	1,207	892
49	115.9	130.6	99.2	969	1,146	846
48	104.2	116.8	91.3	929	1,096	806
47	93.6	103.8	83.6	888	1,046	766
46	84	91.7	76.2	850	1,000	731
45	75.1	80.6	69.2	816	958	702
44	67	70.7	62.8	779	911	669
43	59.6	62.2	57.2	747	871	642
42	53.6	55.1	52.3	717	834	617
41	48.7	49.3	48.1	685	795	592
40	44.5	44.5	44.6	659	766	571
39	41.1	40.5	41.5	627	725	545
38	38.1	37.3	38.8	599	691	522
37	35.4	34.5	36.4	568	655	496
36	33.1	32.1	34.2	539	619	473
35	31.1	30.1	32.1	512	586	450
34	29.3	28.4	30.3	481	550	423
33	27.8	26.9	28.6	453	517	400
32	26.4	25.6	27.2	428	487	379
31	25.2	24.6	25.9	403	458	356
30	24.3	23.8	24.8	385	436	341
29	23.6	23.3	23.9	363	409	323
28	23	23.1	23	343	387	303
27	22.6	23.1	22.2	324	365	286.2
26	22.3	23.3	21.4	304	344	267.1
25	22.2	23.7	20.6	286.4	326	248.2
24	22	24.1	19.8	268.5	307	231.1
23	21.8	24.6	19	251.5	289	214.4
22	21.6	24.8	18.2	234.1	270.1	198.3
21	21	24.7	17.3	216.1	249.9	182.2
20	20.1	24	16.4	200.4	229.9	170.6
19	19.1	22.5	15.3	182.4	209.2	155.3
18	17.5	20.4	14	164.9	188.9	140.6
17	15.5	17.8	12.7	143.2	161.3	124.9
16	13.3	15	11.4	122.8	135.4	110
15	11.4	12.5	10.1	106.1	114.9	97.1
14	9.8	10.5	9.02	90.9	97.8	83.9
13	8.67	9.11	8.18	80.4	85.9	74.8
12	7.95	8.24	7.6	73.9	79.4	68.4
11	7.62	7.86	7.31	70.9	76.1	65.5
10	7.63	7.91	7.31	70.4	74.5	66.2
9	7.99	8.32	7.63	72.9	76.9	68.8
8	8.7	9.05	8.33	78.6	83.3	73.8
7	9.77	10	9.49	87.5	92.4	82.5
6	11.2	11.2	11.2	98.5	103	94
5	13.2	12.6	13.8	116.6	119.9	113.1
4	15.6	14.1	17.5	153.9	157.9	149.8
3	18.8	15.7	22.5	211.7	213.4	209.9
2	23	17.4	29.4	308	305	311
1	28.2	19.4	38.6	484	463	505
0	533	527	541	3,053	3,402	2,699

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 0 in Zimbabwe. The median age of death is 86.3 in Liechtenstein and 68.8 in Zimbabwe, 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 Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x