Life Expectancy in Liechtenstein vs South Sudan (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Liechtenstein vs South Sudan: 84.7 years vs 69.1 at 30, 86.4 vs 78 at 65, 90.1 vs 85.6 at 80 — significantly higher than the 83.9 vs 57.9 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Liechtenstein and South Sudan.

Table

Current age, years	Total life expectancy, years
	Liechtenstein			South Sudan
	Average	Male	Female	Average	Male	Female
0	83.9	82.2	85.5	57.9	54.9	60.9
1	84.4	82.7	86	61.7	58.8	64.6
2	84.4	82.7	86	62.4	59.4	65.4
3	84.4	82.7	86.1	63	60	66
4	84.4	82.7	86.1	63.5	60.5	66.5
5	84.5	82.7	86.1	64	61	66.9
6	84.5	82.7	86.1	64.3	61.4	67.3
7	84.5	82.7	86.1	64.7	61.7	67.5
8	84.5	82.7	86.1	64.9	62	67.8
9	84.5	82.8	86.1	65.1	62.3	67.9
10	84.5	82.8	86.1	65.3	62.5	68.1
11	84.5	82.8	86.1	65.5	62.7	68.2
12	84.5	82.8	86.2	65.6	62.9	68.4
13	84.5	82.8	86.2	65.8	63	68.5
14	84.5	82.8	86.2	65.9	63.2	68.6
15	84.5	82.8	86.2	66.1	63.3	68.7
16	84.5	82.8	86.2	66.2	63.5	68.9
17	84.5	82.8	86.2	66.4	63.7	69
18	84.6	82.8	86.2	66.5	63.9	69.1
19	84.6	82.8	86.2	66.7	64.1	69.3
20	84.6	82.9	86.2	66.9	64.3	69.4
21	84.6	82.9	86.2	67.1	64.6	69.6
22	84.6	82.9	86.2	67.3	64.8	69.8
23	84.6	82.9	86.3	67.6	65.1	69.9
24	84.6	82.9	86.3	67.8	65.4	70.1
25	84.6	82.9	86.3	68	65.6	70.2
26	84.7	82.9	86.3	68.2	65.9	70.4
27	84.7	83	86.3	68.4	66.2	70.6
28	84.7	83	86.3	68.7	66.4	70.7
29	84.7	83	86.3	68.9	66.7	70.9
30	84.7	83	86.3	69.1	66.9	71.1
31	84.7	83	86.4	69.3	67.2	71.3
32	84.7	83	86.4	69.5	67.4	71.4
33	84.8	83	86.4	69.7	67.7	71.6
34	84.8	83	86.4	69.9	67.9	71.8
35	84.8	83.1	86.4	70.1	68.1	72
36	84.8	83.1	86.4	70.4	68.4	72.2
37	84.8	83.1	86.5	70.6	68.6	72.3
38	84.8	83.1	86.5	70.8	68.9	72.5
39	84.9	83.1	86.5	71	69.1	72.7
40	84.9	83.1	86.5	71.2	69.3	72.9
41	84.9	83.2	86.5	71.4	69.6	73.1
42	84.9	83.2	86.6	71.6	69.9	73.3
43	84.9	83.2	86.6	71.9	70.1	73.5
44	85	83.2	86.6	72.1	70.4	73.7
45	85	83.3	86.6	72.3	70.6	73.8
46	85	83.3	86.7	72.6	70.9	74
47	85.1	83.3	86.7	72.8	71.2	74.2
48	85.1	83.4	86.7	73	71.4	74.4
49	85.1	83.4	86.8	73.3	71.7	74.6
50	85.2	83.5	86.8	73.5	72	74.8
51	85.2	83.5	86.8	73.7	72.3	75
52	85.3	83.6	86.9	74	72.6	75.2
53	85.3	83.6	86.9	74.3	72.9	75.5
54	85.4	83.7	87	74.5	73.2	75.7
55	85.4	83.8	87	74.8	73.5	75.9
56	85.5	83.8	87.1	75.1	73.8	76.2
57	85.6	83.9	87.1	75.4	74.1	76.4
58	85.7	84	87.2	75.7	74.5	76.7
59	85.7	84.1	87.3	76	74.8	76.9
60	85.8	84.2	87.3	76.3	75.1	77.2
61	85.9	84.4	87.4	76.6	75.5	77.5
62	86	84.5	87.5	76.9	75.9	77.8
63	86.1	84.6	87.6	77.3	76.3	78.1
64	86.3	84.8	87.7	77.6	76.7	78.4
65	86.4	84.9	87.8	78	77.1	78.7
66	86.5	85.1	87.9	78.4	77.5	79.1
67	86.7	85.2	88	78.8	77.9	79.5
68	86.8	85.4	88.1	79.2	78.4	79.8
69	87	85.7	88.2	79.6	78.9	80.2
70	87.2	85.9	88.4	80.1	79.3	80.7
71	87.4	86.1	88.6	80.6	79.8	81.1
72	87.7	86.4	88.8	81.1	80.4	81.6
73	87.9	86.7	89	81.6	80.9	82
74	88.1	86.9	89.2	82.1	81.5	82.5
75	88.4	87.3	89.4	82.6	82	83.1
76	88.7	87.6	89.6	83.2	82.6	83.6
77	89	87.9	89.9	83.8	83.2	84.2
78	89.4	88.3	90.2	84.4	83.8	84.7
79	89.7	88.7	90.5	85	84.5	85.3
80	90.1	89.1	90.9	85.6	85.1	85.9
81	90.5	89.5	91.2	86.3	85.8	86.6
82	91	90	91.6	87	86.5	87.2
83	91.4	90.5	92.1	87.7	87.2	87.9
84	91.9	91	92.5	88.4	87.9	88.6
85	92.4	91.5	93	89.1	88.7	89.4
86	93	92.1	93.5	89.9	89.4	90.1
87	93.5	92.7	94	90.6	90.2	90.8
88	94.1	93.3	94.6	91.4	91	91.6
89	94.7	93.9	95.1	92.2	91.8	92.4
90	95.4	94.6	95.7	93	92.6	93.2
91	96	95.3	96.3	93.8	93.4	94
92	96.7	96	97	94.7	94.2	94.8
93	97.4	96.7	97.6	95.5	95.1	95.6
94	98.1	97.4	98.3	96.3	96	96.4
95	98.8	98.2	99	97.2	96.9	97.3
96	99.6	99	99.8	98	97.8	98.1
97	100.4	99.8	100.5	98.9	98.7	99
98	101.2	100.6	101.3	99.8	99.6	99.9
99	102	101.5	102.1	100.7	100.6	100.8
100	102.8	102.3	102.9	101.7	101.6	101.8

Odds of living to age in Liechtenstein vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 95.7% in Liechtenstein and 61% in South Sudan are expected to survive till at least 60 years old, 89.5% and 45% will live to 70 years or older, 71.4% and 21.3% to 80+ years, and 34.2% and 3.36% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Liechtenstein			South Sudan
	Average	Male	Female	Average	Male	Female
1	99.5%	99.5%	99.5%	93.7%	93.3%	94.2%
2	99.4%	99.4%	99.4%	92.6%	92.3%	93%
3	99.4%	99.4%	99.4%	91.7%	91.3%	92.1%
4	99.4%	99.4%	99.4%	90.9%	90.5%	91.4%
5	99.4%	99.4%	99.3%	90.3%	89.8%	90.8%
6	99.4%	99.4%	99.3%	89.7%	89.1%	90.3%
7	99.3%	99.4%	99.3%	89.2%	88.6%	89.9%
8	99.3%	99.4%	99.3%	88.8%	88.1%	89.6%
9	99.3%	99.4%	99.3%	88.5%	87.7%	89.3%
10	99.3%	99.3%	99.3%	88.2%	87.3%	89%
11	99.3%	99.3%	99.3%	87.9%	87%	88.8%
12	99.3%	99.3%	99.3%	87.7%	86.7%	88.6%
13	99.3%	99.3%	99.3%	87.4%	86.4%	88.4%
14	99.3%	99.3%	99.3%	87.2%	86.2%	88.2%
15	99.3%	99.3%	99.3%	87%	85.9%	88%
16	99.3%	99.3%	99.2%	86.7%	85.6%	87.8%
17	99.3%	99.3%	99.2%	86.4%	85.3%	87.6%
18	99.2%	99.3%	99.2%	86.1%	84.9%	87.4%
19	99.2%	99.2%	99.2%	85.8%	84.5%	87.1%
20	99.2%	99.2%	99.2%	85.4%	84.1%	86.8%
21	99.2%	99.2%	99.2%	85.1%	83.6%	86.6%
22	99.2%	99.2%	99.2%	84.7%	83.1%	86.3%
23	99.1%	99.1%	99.1%	84.2%	82.6%	86%
24	99.1%	99.1%	99.1%	83.8%	82%	85.7%
25	99.1%	99.1%	99.1%	83.4%	81.5%	85.4%
26	99.1%	99.1%	99.1%	83%	81%	85.1%
27	99%	99%	99.1%	82.5%	80.4%	84.7%
28	99%	99%	99%	82.1%	79.9%	84.4%
29	99%	99%	99%	81.7%	79.4%	84%
30	99%	99%	99%	81.2%	78.9%	83.7%
31	99%	98.9%	99%	80.8%	78.3%	83.3%
32	98.9%	98.9%	98.9%	80.3%	77.8%	83%
33	98.9%	98.9%	98.9%	79.9%	77.3%	82.6%
34	98.9%	98.9%	98.9%	79.4%	76.7%	82.2%
35	98.8%	98.8%	98.8%	78.9%	76.2%	81.8%
36	98.8%	98.8%	98.8%	78.5%	75.6%	81.4%
37	98.8%	98.8%	98.8%	78%	75%	81%
38	98.7%	98.7%	98.7%	77.5%	74.5%	80.6%
39	98.7%	98.7%	98.7%	77%	73.9%	80.2%
40	98.7%	98.7%	98.7%	76.5%	73.3%	79.7%
41	98.6%	98.6%	98.6%	75.9%	72.6%	79.3%
42	98.6%	98.6%	98.6%	75.3%	72%	78.8%
43	98.5%	98.5%	98.5%	74.8%	71.3%	78.3%
44	98.4%	98.4%	98.5%	74.2%	70.6%	77.8%
45	98.4%	98.4%	98.4%	73.6%	69.9%	77.3%
46	98.3%	98.3%	98.3%	72.9%	69.2%	76.7%
47	98.2%	98.2%	98.2%	72.3%	68.5%	76.2%
48	98.1%	98.1%	98.2%	71.7%	67.7%	75.7%
49	98%	98%	98.1%	71%	66.9%	75.1%
50	97.9%	97.8%	98%	70.3%	66.1%	74.5%
51	97.8%	97.7%	97.9%	69.5%	65.2%	73.9%
52	97.6%	97.5%	97.7%	68.7%	64.3%	73.2%
53	97.5%	97.3%	97.6%	67.9%	63.3%	72.5%
54	97.3%	97.1%	97.5%	67%	62.3%	71.7%
55	97.1%	96.9%	97.3%	66.1%	61.3%	70.9%
56	96.9%	96.6%	97.1%	65.2%	60.2%	70.1%
57	96.6%	96.3%	97%	64.2%	59.1%	69.3%
58	96.4%	96%	96.8%	63.2%	58%	68.4%
59	96.1%	95.6%	96.5%	62.1%	56.8%	67.4%
60	95.7%	95.1%	96.3%	61%	55.5%	66.4%
61	95.4%	94.7%	96%	59.7%	54.2%	65.3%
62	95%	94.2%	95.8%	58.5%	52.8%	64.1%
63	94.5%	93.6%	95.4%	57.1%	51.3%	62.9%
64	94%	93%	95.1%	55.6%	49.7%	61.5%
65	93.5%	92.3%	94.7%	54.1%	48.1%	60%
66	92.9%	91.5%	94.2%	52.4%	46.4%	58.5%
67	92.2%	90.6%	93.7%	50.7%	44.6%	56.8%
68	91.4%	89.6%	93.1%	48.9%	42.8%	55%
69	90.5%	88.5%	92.5%	47%	40.8%	53.1%
70	89.5%	87.3%	91.7%	45%	38.8%	51.1%
71	88.4%	86%	90.8%	42.9%	36.7%	49%
72	87.2%	84.5%	89.9%	40.7%	34.6%	46.8%
73	85.8%	82.8%	88.8%	38.4%	32.4%	44.4%
74	84.3%	81%	87.6%	36%	30.1%	41.9%
75	82.7%	79.1%	86.2%	33.6%	27.8%	39.4%
76	80.8%	76.9%	84.7%	31.2%	25.5%	36.8%
77	78.8%	74.6%	83%	28.7%	23.2%	34.1%
78	76.6%	72.1%	81.1%	26.2%	20.9%	31.4%
79	74.1%	69.3%	79%	23.7%	18.7%	28.7%
80	71.4%	66.4%	76.6%	21.3%	16.5%	26%
81	68.5%	63.2%	74%	18.9%	14.4%	23.2%
82	65.3%	59.7%	71.1%	16.5%	12.4%	20.6%
83	61.9%	56.1%	67.9%	14.3%	10.6%	18%
84	58.3%	52.2%	64.5%	12.2%	8.84%	15.5%
85	54.5%	48.2%	60.8%	10.3%	7.28%	13.2%
86	50.6%	44.1%	57%	8.5%	5.9%	11.1%
87	46.5%	39.9%	53%	6.93%	4.68%	9.14%
88	42.4%	35.7%	49%	5.55%	3.63%	7.43%
89	38.3%	31.5%	44.8%	4.36%	2.75%	5.95%
90	34.2%	27.4%	40.5%	3.36%	2.02%	4.68%
91	30.1%	23.5%	36.3%	2.53%	1.45%	3.6%
92	26.3%	19.8%	32%	1.87%	1%	2.72%
93	22.5%	16.4%	27.9%	1.34%	0.67%	2%
94	19%	13.3%	23.9%	0.94%	0.43%	1.43%
95	15.7%	10.5%	20.2%	0.64%	0.27%	0.99%
96	12.8%	8.17%	16.7%	0.43%	0.16%	0.67%
97	10.2%	6.18%	13.6%	0.28%	0.09%	0.43%
98	7.98%	4.55%	10.8%	0.17%	0.05%	0.27%
99	6.14%	3.27%	8.45%	0.1%	0.03%	0.17%
100	4.62%	2.28%	6.43%	0.05%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.54% in the birth year in Liechtenstein and 6.27% in South Sudan, 0.02% vs 0.55% at age 30, 0.38% vs 1.98% at 60, and 4.1% vs 11.3% at 80.

Below is a graph displaying the probabilities of dying in Liechtenstein compared to South Sudan at any given age.

Table

Age	Probability of dying
	Liechtenstein			South Sudan
	Average	Male	Female	Average	Male	Female
0	0.54%	0.54%	0.55%	6.27%	6.72%	5.81%
1	0.03%	0.02%	0.04%	1.17%	1.11%	1.23%
2	0.02%	0.02%	0.03%	1%	1%	0.99%
3	0.02%	0.02%	0.02%	0.86%	0.9%	0.8%
4	0.02%	0.01%	0.02%	0.73%	0.81%	0.65%
5	0.01%	0.01%	0.01%	0.63%	0.72%	0.53%
6	0.01%	0.01%	0.01%	0.54%	0.63%	0.44%
7	0.01%	0.01%	0.01%	0.46%	0.55%	0.37%
8	0.009%	0.009%	0.008%	0.39%	0.47%	0.31%
9	0.008%	0.009%	0.008%	0.34%	0.41%	0.27%
10	0.008%	0.008%	0.007%	0.3%	0.36%	0.24%
11	0.008%	0.008%	0.007%	0.27%	0.32%	0.23%
12	0.008%	0.008%	0.008%	0.26%	0.31%	0.22%
13	0.009%	0.009%	0.008%	0.26%	0.3%	0.22%
14	0.01%	0.01%	0.009%	0.27%	0.32%	0.23%
15	0.01%	0.01%	0.01%	0.29%	0.34%	0.24%
16	0.01%	0.02%	0.01%	0.32%	0.38%	0.26%
17	0.02%	0.02%	0.01%	0.35%	0.42%	0.27%
18	0.02%	0.02%	0.01%	0.38%	0.47%	0.29%
19	0.02%	0.02%	0.02%	0.42%	0.52%	0.31%
20	0.02%	0.02%	0.02%	0.45%	0.57%	0.32%
21	0.02%	0.03%	0.02%	0.47%	0.61%	0.33%
22	0.02%	0.03%	0.02%	0.49%	0.64%	0.34%
23	0.02%	0.03%	0.02%	0.5%	0.65%	0.35%
24	0.02%	0.02%	0.02%	0.51%	0.66%	0.36%
25	0.02%	0.02%	0.02%	0.51%	0.66%	0.37%
26	0.02%	0.02%	0.02%	0.52%	0.65%	0.38%
27	0.02%	0.02%	0.02%	0.53%	0.65%	0.4%
28	0.02%	0.02%	0.02%	0.53%	0.66%	0.41%
29	0.02%	0.02%	0.02%	0.54%	0.66%	0.42%
30	0.02%	0.02%	0.03%	0.55%	0.67%	0.43%
31	0.03%	0.03%	0.03%	0.56%	0.68%	0.44%
32	0.03%	0.03%	0.03%	0.57%	0.69%	0.45%
33	0.03%	0.03%	0.03%	0.58%	0.71%	0.46%
34	0.03%	0.03%	0.03%	0.59%	0.72%	0.47%
35	0.03%	0.03%	0.03%	0.6%	0.73%	0.48%
36	0.03%	0.03%	0.04%	0.61%	0.75%	0.5%
37	0.04%	0.04%	0.04%	0.63%	0.77%	0.51%
38	0.04%	0.04%	0.04%	0.66%	0.79%	0.54%
39	0.04%	0.04%	0.04%	0.69%	0.82%	0.56%
40	0.05%	0.05%	0.05%	0.72%	0.86%	0.59%
41	0.05%	0.05%	0.05%	0.75%	0.89%	0.61%
42	0.06%	0.06%	0.05%	0.77%	0.93%	0.63%
43	0.06%	0.06%	0.06%	0.8%	0.96%	0.65%
44	0.07%	0.07%	0.06%	0.82%	0.99%	0.66%
45	0.08%	0.08%	0.07%	0.84%	1.03%	0.67%
46	0.09%	0.1%	0.08%	0.87%	1.07%	0.69%
47	0.1%	0.11%	0.09%	0.9%	1.11%	0.71%
48	0.11%	0.12%	0.09%	0.95%	1.17%	0.75%
49	0.12%	0.14%	0.1%	1.01%	1.25%	0.8%
50	0.13%	0.15%	0.11%	1.07%	1.33%	0.85%
51	0.15%	0.17%	0.12%	1.14%	1.41%	0.91%
52	0.16%	0.19%	0.13%	1.22%	1.5%	0.97%
53	0.18%	0.22%	0.14%	1.29%	1.58%	1.03%
54	0.2%	0.25%	0.16%	1.35%	1.66%	1.09%
55	0.23%	0.28%	0.17%	1.42%	1.74%	1.15%
56	0.25%	0.32%	0.19%	1.5%	1.83%	1.22%
57	0.28%	0.36%	0.21%	1.59%	1.93%	1.29%
58	0.31%	0.4%	0.23%	1.7%	2.06%	1.39%
59	0.35%	0.45%	0.25%	1.83%	2.22%	1.51%
60	0.38%	0.49%	0.27%	1.98%	2.4%	1.64%
61	0.41%	0.54%	0.3%	2.16%	2.6%	1.8%
62	0.46%	0.6%	0.33%	2.36%	2.81%	1.98%
63	0.52%	0.67%	0.37%	2.56%	3.05%	2.17%
64	0.58%	0.75%	0.42%	2.79%	3.29%	2.38%
65	0.66%	0.84%	0.48%	3.02%	3.55%	2.6%
66	0.74%	0.95%	0.55%	3.28%	3.83%	2.85%
67	0.85%	1.08%	0.63%	3.57%	4.15%	3.12%
68	0.97%	1.22%	0.72%	3.9%	4.51%	3.43%
69	1.1%	1.38%	0.83%	4.27%	4.92%	3.78%
70	1.24%	1.55%	0.94%	4.68%	5.37%	4.17%
71	1.4%	1.74%	1.07%	5.14%	5.87%	4.59%
72	1.55%	1.94%	1.21%	5.62%	6.42%	5.04%
73	1.75%	2.17%	1.37%	6.14%	7%	5.53%
74	1.99%	2.42%	1.55%	6.69%	7.62%	6.06%
75	2.23%	2.7%	1.76%	7.3%	8.28%	6.62%
76	2.51%	3.02%	2%	7.95%	9.01%	7.24%
77	2.81%	3.38%	2.29%	8.67%	9.8%	7.93%
78	3.19%	3.8%	2.62%	9.47%	10.7%	8.7%
79	3.63%	4.29%	3.01%	10.4%	11.7%	9.55%
80	4.1%	4.83%	3.45%	11.3%	12.7%	10.5%
81	4.66%	5.45%	3.94%	12.4%	13.8%	11.5%
82	5.23%	6.13%	4.47%	13.5%	15%	12.6%
83	5.8%	6.87%	5.04%	14.7%	16.3%	13.7%
84	6.5%	7.68%	5.64%	15.9%	17.6%	14.9%
85	7.27%	8.56%	6.27%	17.2%	19%	16.1%
86	7.97%	9.52%	6.96%	18.5%	20.6%	17.4%
87	8.8%	10.6%	7.71%	19.9%	22.4%	18.6%
88	9.79%	11.7%	8.55%	21.4%	24.3%	20%
89	10.8%	12.9%	9.49%	23%	26.4%	21.4%
90	11.8%	14.3%	10.5%	24.6%	28.6%	22.9%
91	12.8%	15.7%	11.7%	26.3%	30.8%	24.6%
92	14.2%	17.3%	12.9%	28%	33%	26.4%
93	15.8%	18.9%	14.2%	29.8%	35.2%	28.4%
94	17.2%	20.7%	15.6%	31.7%	37.5%	30.6%
95	18.6%	22.5%	17.1%	33.5%	39.8%	32.8%
96	20.2%	24.4%	18.7%	35.7%	41.9%	35%
97	21.8%	26.3%	20.3%	38.7%	43.8%	37.1%
98	23.2%	28.3%	22.1%	42.1%	45.5%	39.1%
99	24.7%	30.3%	23.9%	44.2%	47.1%	41%
100	26.3%	32.2%	25.5%	47.2%	49.1%	43.1%

Death rate by age in Liechtenstein compared to South Sudan

In Liechtenstein, the most common age of death is 88, compared to 0 in South Sudan. The median age of death is 86.1 in Liechtenstein and 67.4 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Liechtenstein			South Sudan
	Total	Male	Female	Total	Male	Female
0	542	537	547	6,268	6,715	5,811
1	28.6	19.7	39	1,094	1,033	1,158
2	23.3	17.7	29.7	924	923	924
3	19.1	15.9	22.8	784	826	741
4	16	14.3	17.7	667	735	598
5	13.4	12.8	14	568	647	485
6	11.4	11.4	11.4	482	564	397
7	9.93	10.2	9.6	409	485	330
8	8.85	9.23	8.43	348	415	278.6
9	8.14	8.49	7.73	299.8	356	241.3
10	7.78	8.07	7.4	264.5	312	215.6
11	7.74	8.02	7.4	241.6	281.4	199.9
12	8.07	8.41	7.7	229.7	264.9	192.9
13	8.81	9.3	8.28	228.5	262	193.4
14	9.97	10.8	9.14	236.7	271.8	200.1
15	11.6	12.8	10.2	253	292.7	211.5
16	13.6	15.4	11.5	275.3	323	225.8
17	15.7	18.1	12.9	301	359	240.8
18	17.7	20.8	14.2	329	400	254.9
19	19.2	23	15.5	356	442	266.8
20	20.5	24.5	16.6	381	480	276.5
21	21.5	25.2	17.6	400	511	284.6
22	21.9	25.4	18.4	414	530	292
23	22.3	25.1	19.3	422	538	299.8
24	22.4	24.7	20	426	538	308
25	22.5	24.2	20.8	429	535	317
26	22.7	23.8	21.6	431	529	327
27	23	23.6	22.4	434	526	336
28	23.4	23.6	23.3	438	524	345
29	24	23.8	24.2	442	526	353
30	24.7	24.4	25.2	447	529	361
31	25.7	25.1	26.3	452	535	367
32	26.9	26.2	27.5	457	540	373
33	28.2	27.4	29	462	546	379
34	29.8	29	30.6	467	551	385
35	31.6	30.8	32.5	474	557	393
36	33.7	32.8	34.6	482	565	403
37	36.1	35.2	36.9	494	576	417
38	38.8	38.1	39.4	510	591	433
39	41.8	41.4	42.1	528	609	451
40	45.3	45.4	45.2	547	629	469
41	49.5	50.3	48.8	566	650	485
42	54.6	56.3	53	582	669	498
43	60.9	63.6	57.9	595	686	507
44	68.1	72.3	63.6	606	702	514
45	76.3	82.3	70.1	618	718	520
46	85.3	93.7	77.2	632	738	529
47	95.5	106.1	84.7	653	763	545
48	106.7	119.3	92.5	680	795	567
49	117	133.5	100.5	715	833	598
50	128.4	148.8	109	754	876	634
51	141.9	166.1	118.2	796	920	673
52	155.9	186.4	128.4	836	961	713
53	173.4	210.5	140.1	873	999	749
54	197.5	239	153.3	907	1,033	784
55	223.3	271.8	168.1	940	1,066	817
56	245	308	184.1	976	1,102	853
57	271.1	347	201.1	1,019	1,144	897
58	300	387	219.1	1,071	1,196	950
59	333	427	238.3	1,135	1,259	1,015
60	364	469	259.6	1,210	1,330	1,092
61	394	513	284.4	1,292	1,407	1,178
62	439	564	314	1,377	1,486	1,270
63	488	624	351	1,463	1,563	1,366
64	543	694	397	1,549	1,636	1,464
65	613	778	451	1,635	1,707	1,564
66	689	873	516	1,722	1,778	1,667
67	783	980	590	1,812	1,851	1,775
68	887	1,097	672	1,908	1,928	1,890
69	992	1,223	763	2,007	2,008	2,009
70	1,108	1,356	861	2,107	2,086	2,130
71	1,234	1,496	968	2,202	2,158	2,248
72	1,349	1,643	1,085	2,287	2,219	2,359
73	1,504	1,797	1,213	2,357	2,264	2,457
74	1,681	1,960	1,355	2,412	2,292	2,540
75	1,846	2,135	1,515	2,452	2,303	2,609
76	2,027	2,323	1,696	2,478	2,297	2,665
77	2,217	2,525	1,899	2,486	2,275	2,706
78	2,443	2,743	2,127	2,480	2,237	2,734
79	2,688	2,973	2,377	2,456	2,179	2,741
80	2,929	3,208	2,642	2,409	2,099	2,724
81	3,190	3,441	2,913	2,334	1,995	2,675
82	3,417	3,660	3,176	2,229	1,866	2,590
83	3,593	3,854	3,419	2,095	1,717	2,468
84	3,792	4,012	3,633	1,936	1,555	2,311
85	3,966	4,127	3,815	1,760	1,386	2,126
86	4,029	4,195	3,968	1,572	1,215	1,920
87	4,096	4,210	4,091	1,379	1,047	1,704
88	4,152	4,170	4,186	1,187	883	1,485
89	4,122	4,072	4,246	1,001	726	1,272
90	4,036	3,914	4,264	826	579	1,071
91	3,869	3,696	4,229	666	446	886
92	3,719	3,423	4,131	523	330	718
93	3,551	3,102	3,967	401	236	568
94	3,273	2,747	3,739	298.6	162.8	438
95	2,914	2,371	3,455	216	107.8	326
96	2,587	1,992	3,126	153	68.4	233.8
97	2,222	1,626	2,767	106.6	41.5	161.3
98	1,849	1,288	2,393	71.1	24.3	106.9
99	1,518	989	2,018	43.2	13.7	68.3
100	1,159	613	1,670	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Liechtenstein and South Sudan demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Liechtenstein vs South Sudan: Side-by-Side Comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size