Life Expectancy in Bhutan vs Liechtenstein (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Liechtenstein

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.8	102.3	102.9
99	100.9	100.8	101	102	101.5	102.1
98	100	99.9	100.1	101.2	100.6	101.3
97	99.1	99	99.2	100.4	99.8	100.5
96	98.2	98.1	98.3	99.6	99	99.8
95	97.4	97.2	97.5	98.8	98.2	99.1
94	96.5	96.3	96.6	98.1	97.5	98.3
93	95.7	95.5	95.8	97.4	96.7	97.7
92	94.8	94.6	95	96.7	96	97
91	94	93.8	94.2	96	95.3	96.4
90	93.2	93	93.4	95.4	94.6	95.8
89	92.5	92.2	92.7	94.8	94	95.2
88	91.7	91.4	92	94.2	93.3	94.6
87	91	90.7	91.2	93.6	92.7	94.1
86	90.3	89.9	90.5	93	92.2	93.5
85	89.6	89.2	89.9	92.5	91.6	93
84	88.9	88.5	89.2	92	91.1	92.6
83	88.2	87.8	88.6	91.5	90.5	92.1
82	87.6	87.2	88	91	90.1	91.7
81	87	86.6	87.4	90.6	89.6	91.3
80	86.4	85.9	86.8	90.2	89.2	90.9
79	85.8	85.4	86.3	89.8	88.8	90.6
78	85.3	84.8	85.8	89.4	88.4	90.3
77	84.8	84.2	85.3	89.1	88	90
76	84.3	83.7	84.9	88.8	87.7	89.7
75	83.8	83.2	84.5	88.5	87.3	89.5
74	83.4	82.7	84.1	88.2	87	89.2
73	83	82.3	83.7	88	86.8	89
72	82.5	81.8	83.3	87.7	86.5	88.8
71	82.2	81.4	83	87.5	86.2	88.6
70	81.8	81	82.7	87.3	86	88.5
69	81.4	80.6	82.4	87.1	85.8	88.3
68	81.1	80.2	82.1	86.9	85.6	88.2
67	80.8	79.8	81.8	86.8	85.4	88
66	80.5	79.5	81.5	86.6	85.2	87.9
65	80.2	79.2	81.3	86.5	85	87.8
64	79.9	78.9	81.1	86.4	84.9	87.7
63	79.7	78.6	80.9	86.2	84.7	87.6
62	79.4	78.3	80.7	86.1	84.6	87.6
61	79.2	78	80.5	86	84.5	87.5
60	79	77.8	80.3	85.9	84.4	87.4
59	78.8	77.5	80.2	85.9	84.3	87.3
58	78.6	77.3	80	85.8	84.2	87.3
57	78.4	77.1	79.9	85.7	84.1	87.2
56	78.2	76.9	79.7	85.6	84	87.2
55	78	76.7	79.6	85.5	83.9	87.1
54	77.9	76.5	79.5	85.5	83.8	87.1
53	77.7	76.4	79.3	85.4	83.8	87
52	77.6	76.2	79.2	85.4	83.7	87
51	77.5	76.1	79.1	85.3	83.7	86.9
50	77.4	76	79	85.3	83.6	86.9
49	77.3	75.8	78.9	85.2	83.6	86.8
48	77.1	75.7	78.8	85.2	83.5	86.8
47	77	75.6	78.7	85.2	83.5	86.8
46	77	75.5	78.7	85.1	83.4	86.7
45	76.9	75.4	78.6	85.1	83.4	86.7
44	76.8	75.3	78.5	85.1	83.4	86.7
43	76.7	75.3	78.4	85.1	83.4	86.7
42	76.7	75.2	78.4	85	83.3	86.6
41	76.6	75.1	78.3	85	83.3	86.6
40	76.5	75.1	78.3	85	83.3	86.6
39	76.5	75	78.2	85	83.3	86.6
38	76.4	75	78.2	85	83.3	86.6
37	76.4	74.9	78.1	84.9	83.2	86.5
36	76.3	74.9	78.1	84.9	83.2	86.5
35	76.3	74.8	78	84.9	83.2	86.5
34	76.2	74.8	78	84.9	83.2	86.5
33	76.2	74.7	77.9	84.9	83.2	86.5
32	76.1	74.7	77.9	84.9	83.2	86.5
31	76.1	74.6	77.8	84.8	83.2	86.4
30	76	74.6	77.8	84.8	83.1	86.4
29	76	74.5	77.8	84.8	83.1	86.4
28	76	74.5	77.7	84.8	83.1	86.4
27	75.9	74.4	77.7	84.8	83.1	86.4
26	75.9	74.4	77.7	84.8	83.1	86.4
25	75.8	74.3	77.6	84.8	83.1	86.4
24	75.8	74.3	77.6	84.8	83.1	86.4
23	75.8	74.2	77.6	84.7	83.1	86.3
22	75.7	74.2	77.5	84.7	83	86.3
21	75.7	74.1	77.5	84.7	83	86.3
20	75.6	74.1	77.5	84.7	83	86.3
19	75.6	74	77.4	84.7	83	86.3
18	75.6	74	77.4	84.7	83	86.3
17	75.5	74	77.4	84.7	83	86.3
16	75.5	73.9	77.4	84.7	83	86.3
15	75.5	73.9	77.3	84.6	83	86.3
14	75.4	73.9	77.3	84.6	82.9	86.3
13	75.4	73.9	77.3	84.6	82.9	86.2
12	75.4	73.8	77.3	84.6	82.9	86.2
11	75.4	73.8	77.3	84.6	82.9	86.2
10	75.4	73.8	77.3	84.6	82.9	86.2
9	75.4	73.8	77.2	84.6	82.9	86.2
8	75.3	73.7	77.2	84.6	82.9	86.2
7	75.3	73.7	77.2	84.6	82.9	86.2
6	75.3	73.7	77.2	84.6	82.9	86.2
5	75.3	73.7	77.2	84.6	82.9	86.2
4	75.2	73.6	77.1	84.6	82.9	86.2
3	75.2	73.6	77.1	84.6	82.9	86.2
2	75.1	73.5	77	84.5	82.8	86.1
1	75	73.4	76.9	84.5	82.8	86.1
0	73.8	72.1	75.8	84.1	82.4	85.6

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 Bhutan can expect to live to 76 years compared to 84.8 in Liechtenstein, rising to 80.2 and 86.5 at 65, and to 86.4 and 90.2 at 80 — higher than the 73.8 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Liechtenstein

Male

Female

1x

Age	Survival probability
	Bhutan			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	4.72%	2.39%	6.58%
99	0.35%	0.18%	0.58%	6.27%	3.42%	8.63%
98	0.56%	0.3%	0.91%	8.18%	4.75%	11.1%
97	0.87%	0.49%	1.37%	10.4%	6.43%	13.9%
96	1.31%	0.77%	2.02%	13.1%	8.47%	17%
95	1.91%	1.17%	2.89%	16%	10.9%	20.5%
94	2.72%	1.73%	4.02%	19.3%	13.7%	24.2%
93	3.78%	2.48%	5.45%	22.9%	16.9%	28.2%
92	5.11%	3.46%	7.21%	26.6%	20.3%	32.4%
91	6.74%	4.71%	9.31%	30.5%	24.1%	36.6%
90	8.69%	6.25%	11.8%	34.6%	28%	40.9%
89	11%	8.1%	14.5%	38.7%	32.1%	45.1%
88	13.6%	10.3%	17.6%	42.9%	36.3%	49.3%
87	16.4%	12.7%	21%	47%	40.5%	53.4%
86	19.6%	15.5%	24.6%	51%	44.7%	57.3%
85	23%	18.5%	28.4%	55%	48.8%	61.1%
84	26.5%	21.7%	32.3%	58.7%	52.8%	64.8%
83	30.2%	25.1%	36.4%	62.4%	56.7%	68.2%
82	33.9%	28.5%	40.4%	65.8%	60.3%	71.3%
81	37.7%	32.1%	44.4%	68.9%	63.7%	74.2%
80	41.4%	35.7%	48.3%	71.8%	66.9%	76.8%
79	45%	39.2%	52%	74.5%	69.8%	79.2%
78	48.6%	42.7%	55.5%	76.9%	72.5%	81.3%
77	52%	46.2%	58.8%	79.1%	75%	83.2%
76	55.3%	49.6%	62%	81.1%	77.3%	84.9%
75	58.4%	52.8%	64.9%	83%	79.4%	86.4%
74	61.3%	55.9%	67.6%	84.6%	81.4%	87.7%
73	64.1%	58.9%	70.2%	86.1%	83.2%	88.9%
72	66.7%	61.8%	72.5%	87.4%	84.8%	90%
71	69.2%	64.5%	74.7%	88.6%	86.2%	91%
70	71.5%	67%	76.7%	89.7%	87.6%	91.8%
69	73.6%	69.4%	78.5%	90.7%	88.8%	92.6%
68	75.5%	71.6%	80.2%	91.6%	89.9%	93.2%
67	77.4%	73.7%	81.7%	92.3%	90.8%	93.8%
66	79%	75.6%	83%	93%	91.7%	94.3%
65	80.5%	77.4%	84.3%	93.6%	92.4%	94.8%
64	81.9%	79.1%	85.4%	94.2%	93.1%	95.2%
63	83.2%	80.6%	86.4%	94.6%	93.7%	95.5%
62	84.4%	82%	87.3%	95.1%	94.3%	95.8%
61	85.5%	83.3%	88.2%	95.4%	94.8%	96.1%
60	86.6%	84.6%	88.9%	95.8%	95.2%	96.4%
59	87.5%	85.7%	89.6%	96.1%	95.7%	96.6%
58	88.3%	86.7%	90.3%	96.4%	96%	96.8%
57	89.1%	87.7%	90.9%	96.7%	96.4%	97%
56	89.9%	88.5%	91.5%	96.9%	96.7%	97.2%
55	90.5%	89.3%	92%	97.2%	96.9%	97.4%
54	91.1%	90%	92.4%	97.3%	97.2%	97.5%
53	91.6%	90.6%	92.9%	97.5%	97.4%	97.6%
52	92.1%	91.2%	93.2%	97.7%	97.6%	97.8%
51	92.6%	91.7%	93.6%	97.8%	97.7%	97.9%
50	93%	92.2%	94%	97.9%	97.9%	98%
49	93.4%	92.6%	94.3%	98%	98%	98.1%
48	93.7%	93%	94.6%	98.2%	98.1%	98.2%
47	94%	93.3%	94.8%	98.2%	98.2%	98.3%
46	94.3%	93.7%	95.1%	98.3%	98.3%	98.3%
45	94.6%	93.9%	95.3%	98.4%	98.4%	98.4%
44	94.8%	94.2%	95.5%	98.5%	98.5%	98.5%
43	95%	94.4%	95.7%	98.5%	98.5%	98.5%
42	95.2%	94.6%	95.8%	98.6%	98.6%	98.6%
41	95.4%	94.8%	96%	98.6%	98.6%	98.6%
40	95.5%	95%	96.1%	98.7%	98.7%	98.7%
39	95.7%	95.1%	96.3%	98.7%	98.7%	98.7%
38	95.8%	95.3%	96.4%	98.8%	98.8%	98.8%
37	95.9%	95.4%	96.5%	98.8%	98.8%	98.8%
36	96.1%	95.5%	96.6%	98.8%	98.8%	98.8%
35	96.2%	95.7%	96.7%	98.9%	98.9%	98.9%
34	96.3%	95.8%	96.8%	98.9%	98.9%	98.9%
33	96.4%	95.9%	96.9%	98.9%	98.9%	98.9%
32	96.5%	96%	97%	98.9%	98.9%	98.9%
31	96.6%	96.1%	97.1%	99%	99%	99%
30	96.7%	96.2%	97.2%	99%	99%	99%
29	96.8%	96.3%	97.3%	99%	99%	99%
28	96.8%	96.4%	97.3%	99%	99%	99%
27	96.9%	96.5%	97.4%	99.1%	99.1%	99.1%
26	97%	96.6%	97.5%	99.1%	99.1%	99.1%
25	97.1%	96.7%	97.5%	99.1%	99.1%	99.1%
24	97.2%	96.8%	97.6%	99.1%	99.1%	99.1%
23	97.2%	96.8%	97.7%	99.1%	99.1%	99.1%
22	97.3%	96.9%	97.7%	99.2%	99.2%	99.2%
21	97.4%	97%	97.8%	99.2%	99.2%	99.2%
20	97.5%	97.1%	97.8%	99.2%	99.2%	99.2%
19	97.5%	97.2%	97.9%	99.2%	99.2%	99.2%
18	97.6%	97.3%	97.9%	99.2%	99.3%	99.2%
17	97.6%	97.4%	97.9%	99.3%	99.3%	99.2%
16	97.7%	97.4%	98%	99.3%	99.3%	99.3%
15	97.7%	97.5%	98%	99.3%	99.3%	99.3%
14	97.8%	97.5%	98%	99.3%	99.3%	99.3%
13	97.8%	97.5%	98.1%	99.3%	99.3%	99.3%
12	97.8%	97.6%	98.1%	99.3%	99.3%	99.3%
11	97.9%	97.6%	98.1%	99.3%	99.3%	99.3%
10	97.9%	97.6%	98.1%	99.3%	99.4%	99.3%
9	97.9%	97.7%	98.2%	99.3%	99.4%	99.3%
8	97.9%	97.7%	98.2%	99.3%	99.4%	99.3%
7	98%	97.7%	98.2%	99.4%	99.4%	99.3%
6	98%	97.8%	98.2%	99.4%	99.4%	99.3%
5	98.1%	97.8%	98.3%	99.4%	99.4%	99.4%
4	98.1%	97.9%	98.3%	99.4%	99.4%	99.4%
3	98.2%	98%	98.4%	99.4%	99.4%	99.4%
2	98.2%	98%	98.5%	99.4%	99.5%	99.4%
1	98.3%	98.1%	98.6%	99.5%	99.5%	99.5%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 95.8% in Liechtenstein are expected to live past 60, 71.5% and 89.7% past 70, 41.4% and 71.8% past 80, and only 8.69% and 34.6% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Bhutan

Male

Female

Liechtenstein

Male

Female

1x

Age	Probability of dying
	Bhutan			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	26.4%	32%	25.3%
99	39.6%	42.2%	38%	24.8%	30%	23.7%
98	37.6%	40.3%	36%	23.3%	28%	21.9%
97	35.6%	38.3%	34%	21.7%	26.1%	20.2%
96	33.7%	36.3%	32%	20%	24.1%	18.6%
95	31.7%	34.3%	30%	18.6%	22.3%	17%
94	29.8%	32.3%	28.1%	17.1%	20.4%	15.5%
93	27.9%	30.3%	26.3%	15.4%	18.7%	14.1%
92	26.1%	28.4%	24.4%	14%	17.1%	12.8%
91	24.2%	26.5%	22.6%	12.9%	15.5%	11.6%
90	22.5%	24.6%	20.8%	11.8%	14.1%	10.4%
89	20.7%	22.8%	19.1%	10.7%	12.8%	9.41%
88	19.1%	21.1%	17.5%	9.63%	11.5%	8.48%
87	17.6%	19.4%	16%	8.72%	10.4%	7.65%
86	16.1%	17.8%	14.7%	7.97%	9.39%	6.9%
85	14.7%	16.2%	13.4%	7.15%	8.44%	6.22%
84	13.4%	14.8%	12.2%	6.41%	7.57%	5.58%
83	12.2%	13.4%	11.1%	5.8%	6.77%	4.99%
82	11%	12.2%	9.98%	5.19%	6.04%	4.43%
81	9.96%	11.1%	8.96%	4.58%	5.36%	3.9%
80	8.98%	10%	8.02%	4.06%	4.76%	3.42%
79	8.09%	9.09%	7.15%	3.57%	4.22%	2.98%
78	7.28%	8.24%	6.37%	3.14%	3.74%	2.6%
77	6.56%	7.47%	5.67%	2.79%	3.33%	2.26%
76	5.91%	6.78%	5.06%	2.48%	2.97%	1.98%
75	5.33%	6.15%	4.52%	2.2%	2.65%	1.74%
74	4.82%	5.59%	4.05%	1.93%	2.38%	1.53%
73	4.35%	5.07%	3.63%	1.71%	2.13%	1.35%
72	3.92%	4.61%	3.25%	1.54%	1.91%	1.19%
71	3.54%	4.18%	2.91%	1.37%	1.71%	1.05%
70	3.19%	3.79%	2.6%	1.22%	1.52%	0.93%
69	2.88%	3.44%	2.32%	1.08%	1.35%	0.82%
68	2.6%	3.11%	2.07%	0.95%	1.2%	0.71%
67	2.34%	2.82%	1.84%	0.83%	1.06%	0.62%
66	2.11%	2.55%	1.64%	0.73%	0.93%	0.54%
65	1.9%	2.31%	1.46%	0.64%	0.82%	0.47%
64	1.71%	2.09%	1.31%	0.57%	0.73%	0.41%
63	1.55%	1.9%	1.17%	0.51%	0.65%	0.36%
62	1.41%	1.73%	1.06%	0.45%	0.59%	0.32%
61	1.29%	1.58%	0.96%	0.41%	0.53%	0.29%
60	1.17%	1.44%	0.87%	0.37%	0.48%	0.27%
59	1.07%	1.31%	0.79%	0.34%	0.44%	0.24%
58	0.97%	1.19%	0.72%	0.3%	0.39%	0.22%
57	0.88%	1.08%	0.66%	0.28%	0.35%	0.2%
56	0.8%	0.97%	0.6%	0.25%	0.31%	0.19%
55	0.72%	0.87%	0.55%	0.22%	0.27%	0.17%
54	0.65%	0.78%	0.5%	0.2%	0.24%	0.16%
53	0.59%	0.7%	0.46%	0.17%	0.21%	0.14%
52	0.54%	0.63%	0.42%	0.16%	0.19%	0.13%
51	0.49%	0.56%	0.39%	0.14%	0.17%	0.12%
50	0.44%	0.51%	0.36%	0.13%	0.15%	0.11%
49	0.4%	0.46%	0.33%	0.12%	0.13%	0.1%
48	0.37%	0.42%	0.3%	0.11%	0.12%	0.09%
47	0.33%	0.38%	0.28%	0.1%	0.11%	0.09%
46	0.3%	0.34%	0.25%	0.09%	0.09%	0.08%
45	0.27%	0.3%	0.23%	0.08%	0.08%	0.07%
44	0.24%	0.27%	0.21%	0.07%	0.07%	0.06%
43	0.22%	0.24%	0.19%	0.06%	0.06%	0.06%
42	0.2%	0.22%	0.18%	0.05%	0.06%	0.05%
41	0.18%	0.2%	0.16%	0.05%	0.05%	0.05%
40	0.17%	0.18%	0.15%	0.05%	0.05%	0.05%
39	0.15%	0.16%	0.14%	0.04%	0.04%	0.04%
38	0.14%	0.15%	0.13%	0.04%	0.04%	0.04%
37	0.13%	0.14%	0.12%	0.04%	0.03%	0.04%
36	0.12%	0.13%	0.11%	0.03%	0.03%	0.03%
35	0.12%	0.13%	0.11%	0.03%	0.03%	0.03%
34	0.11%	0.12%	0.1%	0.03%	0.03%	0.03%
33	0.11%	0.11%	0.1%	0.03%	0.03%	0.03%
32	0.1%	0.11%	0.09%	0.03%	0.03%	0.03%
31	0.1%	0.1%	0.09%	0.03%	0.02%	0.03%
30	0.09%	0.1%	0.08%	0.02%	0.02%	0.03%
29	0.09%	0.1%	0.08%	0.02%	0.02%	0.02%
28	0.09%	0.1%	0.08%	0.02%	0.02%	0.02%
27	0.08%	0.1%	0.07%	0.02%	0.02%	0.02%
26	0.08%	0.1%	0.07%	0.02%	0.02%	0.02%
25	0.08%	0.1%	0.07%	0.02%	0.02%	0.02%
24	0.08%	0.1%	0.06%	0.02%	0.02%	0.02%
23	0.08%	0.1%	0.06%	0.02%	0.02%	0.02%
22	0.08%	0.1%	0.06%	0.02%	0.03%	0.02%
21	0.08%	0.1%	0.06%	0.02%	0.02%	0.02%
20	0.07%	0.09%	0.05%	0.02%	0.02%	0.02%
19	0.07%	0.09%	0.05%	0.02%	0.02%	0.02%
18	0.06%	0.08%	0.05%	0.02%	0.02%	0.01%
17	0.06%	0.07%	0.04%	0.02%	0.02%	0.01%
16	0.05%	0.06%	0.04%	0.01%	0.02%	0.01%
15	0.04%	0.05%	0.03%	0.01%	0.01%	0.01%
14	0.04%	0.04%	0.03%	0.01%	0.01%	0.009%
13	0.03%	0.04%	0.03%	0.009%	0.009%	0.008%
12	0.03%	0.03%	0.02%	0.008%	0.008%	0.008%
11	0.03%	0.03%	0.02%	0.008%	0.008%	0.007%
10	0.03%	0.03%	0.02%	0.008%	0.008%	0.007%
9	0.03%	0.03%	0.02%	0.008%	0.008%	0.008%
8	0.03%	0.04%	0.02%	0.009%	0.009%	0.008%
7	0.03%	0.04%	0.03%	0.01%	0.01%	0.01%
6	0.04%	0.04%	0.03%	0.01%	0.01%	0.01%
5	0.05%	0.05%	0.04%	0.01%	0.01%	0.01%
4	0.05%	0.06%	0.05%	0.02%	0.01%	0.02%
3	0.07%	0.07%	0.06%	0.02%	0.02%	0.02%
2	0.08%	0.08%	0.08%	0.02%	0.02%	0.03%
1	0.1%	0.1%	0.1%	0.03%	0.02%	0.04%
0	1.66%	1.86%	1.44%	0.53%	0.53%	0.54%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.53% in Liechtenstein, 0.09% vs 0.02% at age 30, 1.17% vs 0.37% at 60, and 8.98% vs 4.06% at 80.

Death rate by age in Bhutan vs Liechtenstein

Chart Table

Bhutan

Male

Female

Liechtenstein

Male

Female

1x

Age	Death rate
	Bhutan			Liechtenstein
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	1,195	648	1,703
99	137.5	76.2	220.6	1,554	1,027	2,048
98	209.6	121.7	326	1,907	1,332	2,424
97	309	187.5	467	2,268	1,676	2,798
96	439	278.9	647	2,609	2,045	3,155
95	606	401	868	2,987	2,426	3,481
94	811	558	1,131	3,302	2,801	3,761
93	1,054	753	1,431	3,522	3,153	3,985
92	1,331	984	1,759	3,723	3,469	4,144
91	1,633	1,249	2,102	3,939	3,735	4,237
90	1,952	1,541	2,447	4,072	3,945	4,268
89	2,275	1,849	2,779	4,145	4,096	4,245
88	2,591	2,162	3,089	4,129	4,186	4,181
87	2,886	2,466	3,368	4,097	4,218	4,082
86	3,150	2,749	3,608	4,069	4,195	3,956
85	3,375	2,998	3,803	3,929	4,121	3,801
84	3,551	3,206	3,943	3,763	4,000	3,617
83	3,674	3,367	4,022	3,617	3,837	3,402
82	3,741	3,482	4,033	3,410	3,639	3,159
81	3,754	3,550	3,979	3,159	3,417	2,895
80	3,718	3,576	3,867	2,916	3,182	2,625
79	3,643	3,564	3,714	2,660	2,945	2,359
78	3,536	3,521	3,533	2,417	2,714	2,110
77	3,409	3,451	3,336	2,207	2,497	1,883
76	3,267	3,358	3,135	2,009	2,294	1,681
75	3,113	3,248	2,935	1,827	2,107	1,501
74	2,953	3,125	2,738	1,637	1,933	1,343
73	2,787	2,990	2,545	1,470	1,771	1,201
72	2,618	2,846	2,356	1,347	1,618	1,074
71	2,449	2,696	2,171	1,214	1,472	958
70	2,281	2,541	1,992	1,091	1,334	852
69	2,119	2,386	1,820	980	1,202	755
68	1,961	2,230	1,657	869	1,078	665
67	1,809	2,077	1,503	767	962	583
66	1,664	1,929	1,361	682	857	510
65	1,528	1,788	1,231	602	762	446
64	1,404	1,656	1,115	536	680	392
63	1,293	1,534	1,012	478	611	347
62	1,193	1,421	922	426	552	310
61	1,101	1,317	842	392	503	280.9
60	1,015	1,218	772	358	459	256.3
59	935	1,124	709	324	418	235.3
58	859	1,033	652	294.1	379	216.4
57	787	943	600	267.7	340	198.6
56	719	857	551	245.6	302	181.8
55	655	775	506	217.6	266.1	165.9
54	595	699	466	190.4	233.9	151.4
53	542	631	429	170.4	206	138.3
52	494	571	396	154.3	182.4	126.8
51	451	518	366	139	162.5	116.7
50	412	471	339	126.5	145.6	107.6
49	377	428	313	115.9	130.6	99.2
48	343	388	288.2	104.2	116.8	91.3
47	312	350	264.6	93.6	103.8	83.6
46	282.8	315	242	84	91.7	76.2
45	255.5	283.2	220.8	75.1	80.6	69.2
44	230.7	254	201.4	67	70.7	62.8
43	208.8	228.2	184.2	59.6	62.2	57.2
42	189.6	205.7	169.1	53.6	55.1	52.3
41	173.2	186.5	156.2	48.7	49.3	48.1
40	159.2	170.2	145	44.5	44.5	44.6
39	147.1	156.5	135.1	41.1	40.5	41.5
38	136.8	144.9	126.3	38.1	37.3	38.8
37	127.7	135.2	118.3	35.4	34.5	36.4
36	119.9	126.9	110.9	33.1	32.1	34.2
35	113.1	119.9	104.2	31.1	30.1	32.1
34	107	113.8	98.1	29.3	28.4	30.3
33	101.7	108.5	92.7	27.8	26.9	28.6
32	97	103.9	88	26.4	25.6	27.2
31	93	100	83.9	25.2	24.6	25.9
30	89.5	96.8	80.2	24.3	23.8	24.8
29	86.6	94.4	76.9	23.6	23.3	23.9
28	84.2	92.9	73.9	23	23.1	23
27	82.4	92.3	70.9	22.6	23.1	22.2
26	81	92.6	68.1	22.3	23.3	21.4
25	80.1	93.6	65.3	22.2	23.7	20.6
24	79.3	94.7	62.5	22	24.1	19.8
23	78.5	95.7	59.9	21.8	24.6	19
22	77.4	95.9	57.3	21.6	24.8	18.2
21	75.5	94.7	54.6	21	24.7	17.3
20	72.4	91.5	51.6	20.1	24	16.4
19	67.8	85.7	48.2	19.1	22.5	15.3
18	61.8	77.7	44.2	17.5	20.4	14
17	54.7	68	39.9	15.5	17.8	12.7
16	47.4	58.1	35.5	13.3	15	11.4
15	40.6	49	31.3	11.4	12.5	10.1
14	34.9	41.5	27.7	9.8	10.5	9.02
13	30.7	36	24.8	8.67	9.11	8.18
12	27.9	32.5	22.8	7.95	8.24	7.6
11	26.4	30.8	21.6	7.62	7.86	7.31
10	26.2	30.6	21.3	7.63	7.91	7.31
9	27.2	31.9	22	7.99	8.32	7.63
8	29.2	34.5	23.7	8.7	9.05	8.33
7	32.7	38.4	26.7	9.77	10	9.49
6	37.6	43.7	31.2	11.2	11.2	11.2
5	44.3	50.3	37.9	13.2	12.6	13.8
4	53	58.5	47.2	15.6	14.1	17.5
3	64.3	68.3	60	18.8	15.7	22.5
2	78.6	80.1	77.1	23	17.4	29.4
1	96.8	94	99.8	28.2	19.4	38.6
0	1,655	1,861	1,440	533	527	541

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 Bhutan, the most common age of death is 81, compared to 89 in Liechtenstein. The median age of death is 77.6 in Bhutan and 86.3 in Liechtenstein, 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 Bhutan and Liechtenstein more than their death rates.

Life expectancy in other countries

+ -

1x