Life Expectancy in Liechtenstein vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Liechtenstein

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Liechtenstein			South Africa
	Average	Male	Female	Average	Male	Female
100	102.8	102.3	102.9	103.4	103.1	103.5
99	102	101.5	102.1	102.5	102.3	102.6
98	101.2	100.6	101.3	101.7	101.5	101.7
97	100.4	99.8	100.5	100.8	100.7	100.9
96	99.6	99	99.8	100	99.9	100
95	98.8	98.2	99.1	99.2	99.1	99.2
94	98.1	97.5	98.3	98.4	98.3	98.4
93	97.4	96.7	97.7	97.6	97.5	97.7
92	96.7	96	97	96.9	96.7	96.9
91	96	95.3	96.4	96.1	96	96.2
90	95.4	94.6	95.8	95.4	95.2	95.5
89	94.8	94	95.2	94.7	94.4	94.8
88	94.2	93.3	94.6	94	93.7	94.1
87	93.6	92.7	94.1	93.3	92.9	93.4
86	93	92.2	93.5	92.6	92.2	92.7
85	92.5	91.6	93	91.9	91.5	92.1
84	92	91.1	92.6	91.3	90.8	91.5
83	91.5	90.5	92.1	90.6	90.1	90.9
82	91	90.1	91.7	90	89.4	90.3
81	90.6	89.6	91.3	89.4	88.7	89.7
80	90.2	89.2	90.9	88.8	88	89.1
79	89.8	88.8	90.6	88.1	87.4	88.5
78	89.4	88.4	90.3	87.5	86.7	88
77	89.1	88	90	86.9	86	87.4
76	88.8	87.7	89.7	86.3	85.3	86.9
75	88.5	87.3	89.5	85.7	84.7	86.4
74	88.2	87	89.2	85.2	84	85.9
73	88	86.8	89	84.6	83.4	85.4
72	87.7	86.5	88.8	84.1	82.8	84.9
71	87.5	86.2	88.6	83.6	82.2	84.5
70	87.3	86	88.5	83.1	81.7	84.1
69	87.1	85.8	88.3	82.6	81.1	83.6
68	86.9	85.6	88.2	82.1	80.5	83.2
67	86.8	85.4	88	81.6	80	82.8
66	86.6	85.2	87.9	81.2	79.4	82.4
65	86.5	85	87.8	80.7	78.9	82.1
64	86.4	84.9	87.7	80.3	78.4	81.7
63	86.2	84.7	87.6	79.9	77.9	81.4
62	86.1	84.6	87.6	79.4	77.4	81
61	86	84.5	87.5	79	76.9	80.7
60	85.9	84.4	87.4	78.7	76.5	80.4
59	85.9	84.3	87.3	78.3	76	80.1
58	85.8	84.2	87.3	77.9	75.6	79.8
57	85.7	84.1	87.2	77.5	75.2	79.5
56	85.6	84	87.2	77.2	74.8	79.2
55	85.5	83.9	87.1	76.9	74.4	78.9
54	85.5	83.8	87.1	76.5	74	78.7
53	85.4	83.8	87	76.2	73.6	78.4
52	85.4	83.7	87	75.9	73.3	78.2
51	85.3	83.7	86.9	75.6	72.9	77.9
50	85.3	83.6	86.9	75.3	72.6	77.7
49	85.2	83.6	86.8	75	72.2	77.4
48	85.2	83.5	86.8	74.7	71.9	77.2
47	85.2	83.5	86.8	74.4	71.6	77
46	85.1	83.4	86.7	74.2	71.3	76.7
45	85.1	83.4	86.7	73.9	71	76.5
44	85.1	83.4	86.7	73.6	70.7	76.3
43	85.1	83.4	86.7	73.4	70.4	76.1
42	85	83.3	86.6	73.1	70.2	75.8
41	85	83.3	86.6	72.9	69.9	75.6
40	85	83.3	86.6	72.6	69.7	75.4
39	85	83.3	86.6	72.4	69.4	75.2
38	85	83.3	86.6	72.2	69.2	75
37	84.9	83.2	86.5	72	68.9	74.8
36	84.9	83.2	86.5	71.8	68.7	74.6
35	84.9	83.2	86.5	71.6	68.5	74.5
34	84.9	83.2	86.5	71.4	68.3	74.3
33	84.9	83.2	86.5	71.2	68.1	74.1
32	84.9	83.2	86.5	71	67.9	73.9
31	84.8	83.2	86.4	70.8	67.7	73.8
30	84.8	83.1	86.4	70.6	67.5	73.6
29	84.8	83.1	86.4	70.4	67.3	73.5
28	84.8	83.1	86.4	70.3	67.1	73.3
27	84.8	83.1	86.4	70.1	66.9	73.2
26	84.8	83.1	86.4	70	66.8	73.1
25	84.8	83.1	86.4	69.9	66.6	73
24	84.8	83.1	86.4	69.7	66.5	72.9
23	84.7	83.1	86.3	69.6	66.3	72.8
22	84.7	83	86.3	69.5	66.2	72.7
21	84.7	83	86.3	69.4	66.1	72.6
20	84.7	83	86.3	69.3	66	72.6
19	84.7	83	86.3	69.2	65.9	72.5
18	84.7	83	86.3	69.2	65.8	72.4
17	84.7	83	86.3	69.1	65.7	72.4
16	84.7	83	86.3	69	65.7	72.3
15	84.6	83	86.3	69	65.6	72.3
14	84.6	82.9	86.3	68.9	65.6	72.3
13	84.6	82.9	86.2	68.9	65.5	72.2
12	84.6	82.9	86.2	68.9	65.5	72.2
11	84.6	82.9	86.2	68.9	65.5	72.2
10	84.6	82.9	86.2	68.8	65.4	72.2
9	84.6	82.9	86.2	68.8	65.4	72.1
8	84.6	82.9	86.2	68.8	65.4	72.1
7	84.6	82.9	86.2	68.8	65.4	72.1
6	84.6	82.9	86.2	68.7	65.3	72.1
5	84.6	82.9	86.2	68.7	65.3	72
4	84.6	82.9	86.2	68.6	65.2	72
3	84.6	82.9	86.2	68.5	65.1	71.9
2	84.5	82.8	86.1	68.4	64.9	71.8
1	84.5	82.8	86.1	68.1	64.7	71.5
0	84.1	82.4	85.6	66.7	63.1	70.2

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 70.6 in South Africa, rising to 86.5 and 80.7 at 65, and to 90.2 and 88.8 at 80 — higher than the 84.1 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Liechtenstein

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Liechtenstein			South Africa
	Average	Male	Female	Average	Male	Female
100	4.72%	2.39%	6.58%	1.63%	1%	2.22%
99	6.27%	3.42%	8.63%	2.11%	1.28%	2.88%
98	8.18%	4.75%	11.1%	2.68%	1.62%	3.67%
97	10.4%	6.43%	13.9%	3.36%	2.02%	4.59%
96	13.1%	8.47%	17%	4.15%	2.5%	5.67%
95	16%	10.9%	20.5%	5.06%	3.06%	6.91%
94	19.3%	13.7%	24.2%	6.09%	3.7%	8.3%
93	22.9%	16.9%	28.2%	7.24%	4.43%	9.84%
92	26.6%	20.3%	32.4%	8.49%	5.25%	11.5%
91	30.5%	24.1%	36.6%	9.86%	6.16%	13.3%
90	34.6%	28%	40.9%	11.3%	7.18%	15.2%
89	38.7%	32.1%	45.1%	12.9%	8.29%	17.3%
88	42.9%	36.3%	49.3%	14.6%	9.51%	19.4%
87	47%	40.5%	53.4%	16.4%	10.8%	21.7%
86	51%	44.7%	57.3%	18.2%	12.2%	24%
85	55%	48.8%	61.1%	20.1%	13.7%	26.3%
84	58.7%	52.8%	64.8%	22.1%	15.2%	28.6%
83	62.4%	56.7%	68.2%	24%	16.8%	31%
82	65.8%	60.3%	71.3%	26%	18.5%	33.4%
81	68.9%	63.7%	74.2%	28.1%	20.2%	35.8%
80	71.8%	66.9%	76.8%	30.2%	22%	38.2%
79	74.5%	69.8%	79.2%	32.3%	23.9%	40.6%
78	76.9%	72.5%	81.3%	34.6%	25.9%	43%
77	79.1%	75%	83.2%	36.8%	28%	45.4%
76	81.1%	77.3%	84.9%	39%	30.1%	47.7%
75	83%	79.4%	86.4%	41.2%	32.3%	50%
74	84.6%	81.4%	87.7%	43.4%	34.4%	52.1%
73	86.1%	83.2%	88.9%	45.5%	36.6%	54.2%
72	87.4%	84.8%	90%	47.5%	38.7%	56.2%
71	88.6%	86.2%	91%	49.6%	40.8%	58.2%
70	89.7%	87.6%	91.8%	51.6%	42.9%	60%
69	90.7%	88.8%	92.6%	53.5%	45.1%	61.9%
68	91.6%	89.9%	93.2%	55.5%	47.2%	63.6%
67	92.3%	90.8%	93.8%	57.3%	49.3%	65.3%
66	93%	91.7%	94.3%	59.2%	51.4%	66.8%
65	93.6%	92.4%	94.8%	60.9%	53.4%	68.3%
64	94.2%	93.1%	95.2%	62.6%	55.4%	69.8%
63	94.6%	93.7%	95.5%	64.2%	57.3%	71.1%
62	95.1%	94.3%	95.8%	65.7%	59.1%	72.4%
61	95.4%	94.8%	96.1%	67.2%	60.9%	73.6%
60	95.8%	95.2%	96.4%	68.7%	62.6%	74.7%
59	96.1%	95.7%	96.6%	70%	64.3%	75.9%
58	96.4%	96%	96.8%	71.4%	65.9%	76.9%
57	96.7%	96.4%	97%	72.7%	67.5%	78%
56	96.9%	96.7%	97.2%	73.9%	69%	78.9%
55	97.2%	96.9%	97.4%	75.1%	70.5%	79.9%
54	97.3%	97.2%	97.5%	76.2%	71.9%	80.7%
53	97.5%	97.4%	97.6%	77.3%	73.2%	81.6%
52	97.7%	97.6%	97.8%	78.4%	74.5%	82.4%
51	97.8%	97.7%	97.9%	79.4%	75.7%	83.1%
50	97.9%	97.9%	98%	80.3%	76.9%	83.9%
49	98%	98%	98.1%	81.2%	78%	84.6%
48	98.2%	98.1%	98.2%	82.1%	79.1%	85.3%
47	98.2%	98.2%	98.3%	83%	80.1%	85.9%
46	98.3%	98.3%	98.3%	83.8%	81.1%	86.6%
45	98.4%	98.4%	98.4%	84.6%	82%	87.2%
44	98.5%	98.5%	98.5%	85.3%	82.9%	87.8%
43	98.5%	98.5%	98.5%	86%	83.7%	88.4%
42	98.6%	98.6%	98.6%	86.7%	84.5%	89%
41	98.6%	98.6%	98.6%	87.4%	85.3%	89.6%
40	98.7%	98.7%	98.7%	88.1%	86%	90.1%
39	98.7%	98.7%	98.7%	88.7%	86.7%	90.6%
38	98.8%	98.8%	98.8%	89.2%	87.4%	91.1%
37	98.8%	98.8%	98.8%	89.8%	88.1%	91.6%
36	98.8%	98.8%	98.8%	90.4%	88.7%	92%
35	98.9%	98.9%	98.9%	90.9%	89.3%	92.5%
34	98.9%	98.9%	98.9%	91.4%	89.9%	92.9%
33	98.9%	98.9%	98.9%	91.8%	90.4%	93.3%
32	98.9%	98.9%	98.9%	92.3%	91%	93.6%
31	99%	99%	99%	92.7%	91.5%	94%
30	99%	99%	99%	93.1%	91.9%	94.3%
29	99%	99%	99%	93.5%	92.4%	94.6%
28	99%	99%	99%	93.9%	92.8%	94.9%
27	99.1%	99.1%	99.1%	94.2%	93.2%	95.2%
26	99.1%	99.1%	99.1%	94.5%	93.6%	95.4%
25	99.1%	99.1%	99.1%	94.8%	94%	95.7%
24	99.1%	99.1%	99.1%	95.1%	94.3%	95.9%
23	99.1%	99.1%	99.1%	95.3%	94.6%	96%
22	99.2%	99.2%	99.2%	95.5%	94.9%	96.2%
21	99.2%	99.2%	99.2%	95.7%	95.1%	96.3%
20	99.2%	99.2%	99.2%	95.9%	95.4%	96.5%
19	99.2%	99.2%	99.2%	96.1%	95.6%	96.6%
18	99.2%	99.3%	99.2%	96.2%	95.7%	96.7%
17	99.3%	99.3%	99.2%	96.3%	95.9%	96.8%
16	99.3%	99.3%	99.3%	96.4%	96%	96.9%
15	99.3%	99.3%	99.3%	96.5%	96.1%	97%
14	99.3%	99.3%	99.3%	96.6%	96.2%	97%
13	99.3%	99.3%	99.3%	96.6%	96.2%	97.1%
12	99.3%	99.3%	99.3%	96.7%	96.3%	97.1%
11	99.3%	99.3%	99.3%	96.7%	96.3%	97.1%
10	99.3%	99.4%	99.3%	96.8%	96.4%	97.2%
9	99.3%	99.4%	99.3%	96.8%	96.4%	97.2%
8	99.3%	99.4%	99.3%	96.8%	96.5%	97.2%
7	99.4%	99.4%	99.3%	96.9%	96.5%	97.3%
6	99.4%	99.4%	99.3%	96.9%	96.6%	97.3%
5	99.4%	99.4%	99.4%	97%	96.7%	97.4%
4	99.4%	99.4%	99.4%	97.1%	96.8%	97.4%
3	99.4%	99.4%	99.4%	97.2%	96.9%	97.6%
2	99.4%	99.5%	99.4%	97.5%	97.2%	97.8%
1	99.5%	99.5%	99.5%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 95.8% of newborns in Liechtenstein and 68.7% in South Africa are expected to live past 60, 89.7% and 51.6% past 70, 71.8% and 30.2% past 80, and only 34.6% and 11.3% 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

South Africa

Male

Female

1x

Age	Probability of dying
	Liechtenstein			South Africa
	Average	Male	Female	Average	Male	Female
100	26.4%	32%	25.3%	23.6%	22.9%	23.9%
99	24.8%	30%	23.7%	22.5%	22%	22.8%
98	23.3%	28%	21.9%	21.3%	21%	21.5%
97	21.7%	26.1%	20.2%	20.2%	20%	20.2%
96	20%	24.1%	18.6%	19%	19.1%	19%
95	18.6%	22.3%	17%	18%	18.2%	17.9%
94	17.1%	20.4%	15.5%	16.9%	17.3%	16.8%
93	15.4%	18.7%	14.1%	15.9%	16.5%	15.6%
92	14%	17.1%	12.8%	14.8%	15.6%	14.5%
91	12.9%	15.5%	11.6%	13.8%	14.8%	13.5%
90	11.8%	14.1%	10.4%	13%	14.1%	12.6%
89	10.7%	12.8%	9.41%	12.3%	13.5%	11.8%
88	9.63%	11.5%	8.48%	11.5%	12.8%	11.1%
87	8.72%	10.4%	7.65%	10.8%	12.1%	10.3%
86	7.97%	9.39%	6.9%	10.1%	11.4%	9.6%
85	7.15%	8.44%	6.22%	9.43%	10.7%	8.88%
84	6.41%	7.57%	5.58%	8.78%	10%	8.21%
83	5.8%	6.77%	4.99%	8.21%	9.46%	7.62%
82	5.19%	6.04%	4.43%	7.71%	8.97%	7.1%
81	4.58%	5.36%	3.9%	7.3%	8.57%	6.66%
80	4.06%	4.76%	3.42%	6.96%	8.26%	6.28%
79	3.57%	4.22%	2.98%	6.67%	8%	5.94%
78	3.14%	3.74%	2.6%	6.37%	7.73%	5.61%
77	2.79%	3.33%	2.26%	6.06%	7.42%	5.26%
76	2.48%	2.97%	1.98%	5.71%	7.05%	4.89%
75	2.2%	2.65%	1.74%	5.35%	6.64%	4.53%
74	1.93%	2.38%	1.53%	4.98%	6.22%	4.17%
73	1.71%	2.13%	1.35%	4.64%	5.83%	3.85%
72	1.54%	1.91%	1.19%	4.34%	5.49%	3.57%
71	1.37%	1.71%	1.05%	4.09%	5.2%	3.33%
70	1.22%	1.52%	0.93%	3.87%	4.95%	3.12%
69	1.08%	1.35%	0.82%	3.67%	4.72%	2.92%
68	0.95%	1.2%	0.71%	3.48%	4.5%	2.74%
67	0.83%	1.06%	0.62%	3.28%	4.28%	2.55%
66	0.73%	0.93%	0.54%	3.08%	4.04%	2.37%
65	0.64%	0.82%	0.47%	2.88%	3.79%	2.19%
64	0.57%	0.73%	0.41%	2.68%	3.55%	2.03%
63	0.51%	0.65%	0.36%	2.5%	3.32%	1.88%
62	0.45%	0.59%	0.32%	2.34%	3.11%	1.75%
61	0.41%	0.53%	0.29%	2.2%	2.93%	1.65%
60	0.37%	0.48%	0.27%	2.08%	2.76%	1.55%
59	0.34%	0.44%	0.24%	1.98%	2.61%	1.47%
58	0.3%	0.39%	0.22%	1.88%	2.47%	1.39%
57	0.28%	0.35%	0.2%	1.78%	2.33%	1.32%
56	0.25%	0.31%	0.19%	1.68%	2.2%	1.24%
55	0.22%	0.27%	0.17%	1.58%	2.07%	1.16%
54	0.2%	0.24%	0.16%	1.49%	1.94%	1.09%
53	0.17%	0.21%	0.14%	1.4%	1.83%	1.02%
52	0.16%	0.19%	0.13%	1.32%	1.72%	0.96%
51	0.14%	0.17%	0.12%	1.25%	1.62%	0.91%
50	0.13%	0.15%	0.11%	1.19%	1.52%	0.87%
49	0.12%	0.13%	0.1%	1.13%	1.44%	0.84%
48	0.11%	0.12%	0.09%	1.08%	1.35%	0.8%
47	0.1%	0.11%	0.09%	1.03%	1.28%	0.78%
46	0.09%	0.09%	0.08%	0.98%	1.2%	0.75%
45	0.08%	0.08%	0.07%	0.93%	1.13%	0.73%
44	0.07%	0.07%	0.06%	0.88%	1.07%	0.7%
43	0.06%	0.06%	0.06%	0.84%	1.01%	0.68%
42	0.05%	0.06%	0.05%	0.8%	0.95%	0.65%
41	0.05%	0.05%	0.05%	0.76%	0.9%	0.63%
40	0.05%	0.05%	0.05%	0.73%	0.86%	0.6%
39	0.04%	0.04%	0.04%	0.69%	0.82%	0.57%
38	0.04%	0.04%	0.04%	0.66%	0.78%	0.54%
37	0.04%	0.03%	0.04%	0.63%	0.74%	0.51%
36	0.03%	0.03%	0.03%	0.6%	0.71%	0.49%
35	0.03%	0.03%	0.03%	0.57%	0.67%	0.46%
34	0.03%	0.03%	0.03%	0.54%	0.64%	0.44%
33	0.03%	0.03%	0.03%	0.51%	0.61%	0.42%
32	0.03%	0.03%	0.03%	0.49%	0.58%	0.4%
31	0.03%	0.02%	0.03%	0.46%	0.55%	0.38%
30	0.02%	0.02%	0.03%	0.44%	0.52%	0.36%
29	0.02%	0.02%	0.02%	0.41%	0.5%	0.33%
28	0.02%	0.02%	0.02%	0.39%	0.47%	0.31%
27	0.02%	0.02%	0.02%	0.36%	0.44%	0.28%
26	0.02%	0.02%	0.02%	0.33%	0.41%	0.25%
25	0.02%	0.02%	0.02%	0.3%	0.38%	0.23%
24	0.02%	0.02%	0.02%	0.28%	0.35%	0.2%
23	0.02%	0.02%	0.02%	0.25%	0.32%	0.18%
22	0.02%	0.03%	0.02%	0.23%	0.29%	0.17%
21	0.02%	0.02%	0.02%	0.21%	0.26%	0.15%
20	0.02%	0.02%	0.02%	0.19%	0.23%	0.14%
19	0.02%	0.02%	0.02%	0.16%	0.2%	0.13%
18	0.02%	0.02%	0.01%	0.14%	0.18%	0.11%
17	0.02%	0.02%	0.01%	0.12%	0.15%	0.1%
16	0.01%	0.02%	0.01%	0.11%	0.12%	0.09%
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%	0.06%	0.07%	0.05%
12	0.008%	0.008%	0.008%	0.05%	0.06%	0.04%
11	0.008%	0.008%	0.007%	0.04%	0.05%	0.04%
10	0.008%	0.008%	0.007%	0.04%	0.05%	0.03%
9	0.008%	0.008%	0.008%	0.04%	0.05%	0.03%
8	0.009%	0.009%	0.008%	0.04%	0.05%	0.03%
7	0.01%	0.01%	0.01%	0.04%	0.05%	0.04%
6	0.01%	0.01%	0.01%	0.05%	0.06%	0.04%
5	0.01%	0.01%	0.01%	0.07%	0.08%	0.06%
4	0.02%	0.01%	0.02%	0.1%	0.11%	0.08%
3	0.02%	0.02%	0.02%	0.15%	0.17%	0.12%
2	0.02%	0.02%	0.03%	0.22%	0.25%	0.2%
1	0.03%	0.02%	0.04%	0.35%	0.38%	0.32%
0	0.53%	0.53%	0.54%	2.19%	2.44%	1.93%

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

The annual chance of dying is 0.53% in the birth year in Liechtenstein and 2.19% in South Africa, 0.02% vs 0.44% at age 30, 0.37% vs 2.08% at 60, and 4.06% vs 6.96% at 80.

Death rate by age in Liechtenstein vs South Africa

Chart Table

Liechtenstein

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Liechtenstein			South Africa
	Total	Male	Female	Total	Male	Female
100	1,195	648	1,703	359	204.6	501
99	1,554	1,027	2,048	475	280.8	655
98	1,907	1,332	2,424	572	340	787
97	2,268	1,676	2,798	677	406	928
96	2,609	2,045	3,155	789	478	1,077
95	2,987	2,426	3,481	909	558	1,236
94	3,302	2,801	3,761	1,031	642	1,393
93	3,522	3,153	3,985	1,148	729	1,540
92	3,723	3,469	4,144	1,257	818	1,670
91	3,939	3,735	4,237	1,363	912	1,794
90	4,072	3,945	4,268	1,476	1,014	1,924
89	4,145	4,096	4,245	1,585	1,118	2,045
88	4,129	4,186	4,181	1,686	1,220	2,150
87	4,097	4,218	4,082	1,775	1,315	2,238
86	4,069	4,195	3,956	1,845	1,397	2,299
85	3,929	4,121	3,801	1,897	1,467	2,335
84	3,763	4,000	3,617	1,937	1,530	2,353
83	3,617	3,837	3,402	1,972	1,591	2,363
82	3,410	3,639	3,159	2,008	1,656	2,371
81	3,159	3,417	2,895	2,052	1,732	2,383
80	2,916	3,182	2,625	2,102	1,819	2,399
79	2,660	2,945	2,359	2,156	1,914	2,411
78	2,417	2,714	2,110	2,202	2,006	2,410
77	2,207	2,497	1,883	2,228	2,080	2,386
76	2,009	2,294	1,681	2,228	2,126	2,335
75	1,827	2,107	1,501	2,204	2,144	2,262
74	1,637	1,933	1,343	2,161	2,141	2,176
73	1,470	1,771	1,201	2,112	2,132	2,089
72	1,347	1,618	1,074	2,066	2,123	2,008
71	1,214	1,472	958	2,028	2,121	1,936
70	1,091	1,334	852	1,997	2,124	1,871
69	980	1,202	755	1,966	2,128	1,807
68	869	1,078	665	1,929	2,124	1,740
67	767	962	583	1,882	2,108	1,667
66	682	857	510	1,822	2,074	1,585
65	602	762	446	1,752	2,025	1,500
64	536	680	392	1,679	1,965	1,415
63	478	611	347	1,606	1,901	1,337
62	426	552	310	1,540	1,839	1,269
61	392	503	280.9	1,482	1,782	1,211
60	358	459	256.3	1,431	1,730	1,162
59	324	418	235.3	1,384	1,679	1,116
58	294.1	379	216.4	1,339	1,629	1,072
57	267.7	340	198.6	1,292	1,575	1,026
56	245.6	302	181.8	1,242	1,519	978
55	217.6	266.1	165.9	1,190	1,459	929
54	190.4	233.9	151.4	1,137	1,397	881
53	170.4	206	138.3	1,085	1,337	835
52	154.3	182.4	126.8	1,037	1,279	795
51	139	162.5	116.7	994	1,223	760
50	126.5	145.6	107.6	954	1,171	731
49	115.9	130.6	99.2	918	1,120	707
48	104.2	116.8	91.3	883	1,071	686
47	93.6	103.8	83.6	850	1,022	668
46	84	91.7	76.2	818	974	652
45	75.1	80.6	69.2	786	928	635
44	67	70.7	62.8	755	884	619
43	59.6	62.2	57.2	724	842	601
42	53.6	55.1	52.3	695	804	581
41	48.7	49.3	48.1	667	770	560
40	44.5	44.5	44.6	639	738	538
39	41.1	40.5	41.5	613	708	515
38	38.1	37.3	38.8	587	680	492
37	35.4	34.5	36.4	562	653	470
36	33.1	32.1	34.2	538	626	449
35	31.1	30.1	32.1	515	600	429
34	29.3	28.4	30.3	493	575	410
33	27.8	26.9	28.6	471	551	392
32	26.4	25.6	27.2	450	527	374
31	25.2	24.6	25.9	429	504	355
30	24.3	23.8	24.8	408	481	335
29	23.6	23.3	23.9	386	458	314
28	23	23.1	23	363	434	291.3
27	22.6	23.1	22.2	339	410	266.7
26	22.3	23.3	21.4	314	384	241.5
25	22.2	23.7	20.6	289.1	358	217.1
24	22	24.1	19.8	264.7	331	195.1
23	21.8	24.6	19	241.4	304	176
22	21.6	24.8	18.2	219.2	276.6	159.6
21	21	24.7	17.3	198.1	249	145.6
20	20.1	24	16.4	177.8	221.4	133.1
19	19.1	22.5	15.3	158	194.2	121.2
18	17.5	20.4	14	138.5	167.7	108.8
17	15.5	17.8	12.7	119.5	142.6	96
16	13.3	15	11.4	101.4	119.6	82.9
15	11.4	12.5	10.1	85	99.4	70.2
14	9.8	10.5	9.02	70.7	82.4	58.8
13	8.67	9.11	8.18	58.9	68.7	49
12	7.95	8.24	7.6	49.7	58.1	41.1
11	7.62	7.86	7.31	43	50.5	35.3
10	7.63	7.91	7.31	38.7	45.8	31.6
9	7.99	8.32	7.63	37	43.9	30
8	8.7	9.05	8.33	37.9	45.2	30.6
7	9.77	10	9.49	42.2	50.2	34.1
6	11.2	11.2	11.2	51.2	60.6	41.7
5	13.2	12.6	13.8	67.2	79	55.4
4	15.6	14.1	17.5	95.3	110.3	80
3	18.8	15.7	22.5	141.9	161.3	121.7
2	23	17.4	29.4	218.6	243.8	192.5
1	28.2	19.4	38.6	343	375	310
0	533	527	541	2,192	2,441	1,934

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 77 in South Africa. The median age of death is 86.3 in Liechtenstein and 70.8 in South Africa, 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 South Africa more than their death rates.

Life expectancy in other countries

+ -

1x