Life Expectancy in Bhutan vs Switzerland (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Switzerland

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Switzerland
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102	101.9	102
99	100.9	100.8	101	101.1	101	101.2
98	100	99.9	100.1	100.3	100.2	100.3
97	99.1	99	99.2	99.5	99.3	99.5
96	98.2	98.1	98.3	98.7	98.5	98.8
95	97.4	97.2	97.5	97.9	97.7	98
94	96.5	96.3	96.6	97.2	97	97.3
93	95.7	95.5	95.8	96.5	96.2	96.6
92	94.8	94.6	95	95.8	95.5	96
91	94	93.8	94.2	95.2	94.8	95.4
90	93.2	93	93.4	94.5	94.1	94.8
89	92.5	92.2	92.7	94	93.5	94.2
88	91.7	91.4	92	93.4	92.9	93.7
87	91	90.7	91.2	92.9	92.3	93.2
86	90.3	89.9	90.5	92.4	91.8	92.8
85	89.6	89.2	89.9	91.9	91.3	92.4
84	88.9	88.5	89.2	91.5	90.8	92
83	88.2	87.8	88.6	91.1	90.4	91.6
82	87.6	87.2	88	90.7	90	91.3
81	87	86.6	87.4	90.4	89.6	91
80	86.4	85.9	86.8	90.1	89.2	90.7
79	85.8	85.4	86.3	89.8	88.9	90.5
78	85.3	84.8	85.8	89.5	88.5	90.2
77	84.8	84.2	85.3	89.2	88.2	90
76	84.3	83.7	84.9	89	87.9	89.8
75	83.8	83.2	84.5	88.7	87.7	89.6
74	83.4	82.7	84.1	88.5	87.4	89.4
73	83	82.3	83.7	88.3	87.1	89.3
72	82.5	81.8	83.3	88.1	86.9	89.1
71	82.2	81.4	83	87.9	86.6	88.9
70	81.8	81	82.7	87.7	86.4	88.8
69	81.4	80.6	82.4	87.5	86.2	88.7
68	81.1	80.2	82.1	87.3	86	88.5
67	80.8	79.8	81.8	87.2	85.8	88.4
66	80.5	79.5	81.5	87	85.6	88.3
65	80.2	79.2	81.3	86.9	85.4	88.1
64	79.9	78.9	81.1	86.7	85.3	88
63	79.7	78.6	80.9	86.6	85.1	87.9
62	79.4	78.3	80.7	86.5	85	87.8
61	79.2	78	80.5	86.3	84.8	87.8
60	79	77.8	80.3	86.2	84.7	87.7
59	78.8	77.5	80.2	86.1	84.6	87.6
58	78.6	77.3	80	86	84.5	87.5
57	78.4	77.1	79.9	85.9	84.4	87.4
56	78.2	76.9	79.7	85.9	84.3	87.4
55	78	76.7	79.6	85.8	84.2	87.3
54	77.9	76.5	79.5	85.7	84.1	87.3
53	77.7	76.4	79.3	85.6	84	87.2
52	77.6	76.2	79.2	85.6	83.9	87.2
51	77.5	76.1	79.1	85.5	83.8	87.1
50	77.4	76	79	85.5	83.8	87.1
49	77.3	75.8	78.9	85.4	83.7	87
48	77.1	75.7	78.8	85.4	83.7	87
47	77	75.6	78.7	85.3	83.6	87
46	77	75.5	78.7	85.3	83.6	86.9
45	76.9	75.4	78.6	85.2	83.5	86.9
44	76.8	75.3	78.5	85.2	83.5	86.9
43	76.7	75.3	78.4	85.2	83.5	86.8
42	76.7	75.2	78.4	85.2	83.4	86.8
41	76.6	75.1	78.3	85.1	83.4	86.8
40	76.5	75.1	78.3	85.1	83.4	86.8
39	76.5	75	78.2	85.1	83.3	86.8
38	76.4	75	78.2	85.1	83.3	86.7
37	76.4	74.9	78.1	85	83.3	86.7
36	76.3	74.9	78.1	85	83.3	86.7
35	76.3	74.8	78	85	83.2	86.7
34	76.2	74.8	78	85	83.2	86.7
33	76.2	74.7	77.9	85	83.2	86.7
32	76.1	74.7	77.9	84.9	83.2	86.7
31	76.1	74.6	77.8	84.9	83.1	86.7
30	76	74.6	77.8	84.9	83.1	86.6
29	76	74.5	77.8	84.9	83.1	86.6
28	76	74.5	77.7	84.9	83.1	86.6
27	75.9	74.4	77.7	84.9	83.1	86.6
26	75.9	74.4	77.7	84.9	83	86.6
25	75.8	74.3	77.6	84.8	83	86.6
24	75.8	74.3	77.6	84.8	83	86.6
23	75.8	74.2	77.6	84.8	83	86.6
22	75.7	74.2	77.5	84.8	83	86.6
21	75.7	74.1	77.5	84.8	82.9	86.6
20	75.6	74.1	77.5	84.8	82.9	86.6
19	75.6	74	77.4	84.7	82.9	86.5
18	75.6	74	77.4	84.7	82.9	86.5
17	75.5	74	77.4	84.7	82.8	86.5
16	75.5	73.9	77.4	84.7	82.8	86.5
15	75.5	73.9	77.3	84.7	82.8	86.5
14	75.4	73.9	77.3	84.7	82.8	86.5
13	75.4	73.9	77.3	84.7	82.8	86.5
12	75.4	73.8	77.3	84.7	82.8	86.5
11	75.4	73.8	77.3	84.7	82.8	86.5
10	75.4	73.8	77.3	84.7	82.8	86.5
9	75.4	73.8	77.2	84.7	82.8	86.5
8	75.3	73.7	77.2	84.7	82.8	86.5
7	75.3	73.7	77.2	84.7	82.8	86.5
6	75.3	73.7	77.2	84.7	82.8	86.5
5	75.3	73.7	77.2	84.7	82.8	86.5
4	75.2	73.6	77.1	84.7	82.8	86.5
3	75.2	73.6	77.1	84.6	82.8	86.5
2	75.1	73.5	77	84.6	82.8	86.5
1	75	73.4	76.9	84.6	82.7	86.4
0	73.8	72.1	75.8	84.4	82.5	86.2

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 Bhutan can expect to live to 76 years compared to 84.9 in Switzerland, rising to 80.2 and 86.9 at 65, and to 86.4 and 90.1 at 80 — higher than the 73.8 and 84.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Switzerland

Male

Female

1x

Age	Survival probability
	Bhutan			Switzerland
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	2.59%	1.52%	3.5%
99	0.35%	0.18%	0.58%	3.94%	2.39%	5.27%
98	0.56%	0.3%	0.91%	5.76%	3.62%	7.62%
97	0.87%	0.49%	1.37%	8.1%	5.27%	10.6%
96	1.31%	0.77%	2.02%	11%	7.39%	14.2%
95	1.91%	1.17%	2.89%	14.4%	9.99%	18.3%
94	2.72%	1.73%	4.02%	18.3%	13.1%	23%
93	3.78%	2.48%	5.45%	22.6%	16.6%	28.1%
92	5.11%	3.46%	7.21%	27.2%	20.7%	33.3%
91	6.74%	4.71%	9.31%	32.1%	25%	38.6%
90	8.69%	6.25%	11.8%	37%	29.6%	43.9%
89	11%	8.1%	14.5%	41.8%	34.3%	49%
88	13.6%	10.3%	17.6%	46.6%	38.9%	53.9%
87	16.4%	12.7%	21%	51.1%	43.5%	58.5%
86	19.6%	15.5%	24.6%	55.4%	47.9%	62.6%
85	23%	18.5%	28.4%	59.3%	52.1%	66.4%
84	26.5%	21.7%	32.3%	63%	56%	69.8%
83	30.2%	25.1%	36.4%	66.3%	59.6%	72.8%
82	33.9%	28.5%	40.4%	69.3%	62.9%	75.5%
81	37.7%	32.1%	44.4%	72%	66%	77.9%
80	41.4%	35.7%	48.3%	74.4%	68.8%	79.9%
79	45%	39.2%	52%	76.6%	71.3%	81.8%
78	48.6%	42.7%	55.5%	78.5%	73.6%	83.4%
77	52%	46.2%	58.8%	80.3%	75.7%	84.9%
76	55.3%	49.6%	62%	81.9%	77.6%	86.2%
75	58.4%	52.8%	64.9%	83.4%	79.4%	87.4%
74	61.3%	55.9%	67.6%	84.7%	81.1%	88.5%
73	64.1%	58.9%	70.2%	86%	82.6%	89.5%
72	66.7%	61.8%	72.5%	87.2%	84%	90.4%
71	69.2%	64.5%	74.7%	88.2%	85.3%	91.2%
70	71.5%	67%	76.7%	89.2%	86.5%	91.9%
69	73.6%	69.4%	78.5%	90.1%	87.6%	92.6%
68	75.5%	71.6%	80.2%	90.9%	88.6%	93.2%
67	77.4%	73.7%	81.7%	91.7%	89.6%	93.8%
66	79%	75.6%	83%	92.4%	90.5%	94.3%
65	80.5%	77.4%	84.3%	93%	91.3%	94.8%
64	81.9%	79.1%	85.4%	93.6%	92.1%	95.2%
63	83.2%	80.6%	86.4%	94.2%	92.7%	95.6%
62	84.4%	82%	87.3%	94.7%	93.4%	96%
61	85.5%	83.3%	88.2%	95.1%	93.9%	96.3%
60	86.6%	84.6%	88.9%	95.5%	94.4%	96.6%
59	87.5%	85.7%	89.6%	95.9%	94.9%	96.9%
58	88.3%	86.7%	90.3%	96.2%	95.3%	97.1%
57	89.1%	87.7%	90.9%	96.5%	95.7%	97.4%
56	89.9%	88.5%	91.5%	96.8%	96%	97.6%
55	90.5%	89.3%	92%	97%	96.3%	97.8%
54	91.1%	90%	92.4%	97.3%	96.6%	97.9%
53	91.6%	90.6%	92.9%	97.5%	96.9%	98.1%
52	92.1%	91.2%	93.2%	97.7%	97.1%	98.2%
51	92.6%	91.7%	93.6%	97.8%	97.3%	98.4%
50	93%	92.2%	94%	98%	97.5%	98.5%
49	93.4%	92.6%	94.3%	98.1%	97.7%	98.6%
48	93.7%	93%	94.6%	98.2%	97.8%	98.7%
47	94%	93.3%	94.8%	98.3%	97.9%	98.8%
46	94.3%	93.7%	95.1%	98.4%	98.1%	98.8%
45	94.6%	93.9%	95.3%	98.5%	98.2%	98.9%
44	94.8%	94.2%	95.5%	98.6%	98.3%	99%
43	95%	94.4%	95.7%	98.7%	98.4%	99%
42	95.2%	94.6%	95.8%	98.8%	98.5%	99.1%
41	95.4%	94.8%	96%	98.8%	98.5%	99.1%
40	95.5%	95%	96.1%	98.9%	98.6%	99.2%
39	95.7%	95.1%	96.3%	98.9%	98.7%	99.2%
38	95.8%	95.3%	96.4%	99%	98.7%	99.2%
37	95.9%	95.4%	96.5%	99%	98.8%	99.3%
36	96.1%	95.5%	96.6%	99.1%	98.8%	99.3%
35	96.2%	95.7%	96.7%	99.1%	98.9%	99.3%
34	96.3%	95.8%	96.8%	99.1%	98.9%	99.3%
33	96.4%	95.9%	96.9%	99.2%	99%	99.4%
32	96.5%	96%	97%	99.2%	99%	99.4%
31	96.6%	96.1%	97.1%	99.2%	99%	99.4%
30	96.7%	96.2%	97.2%	99.3%	99.1%	99.4%
29	96.8%	96.3%	97.3%	99.3%	99.1%	99.5%
28	96.8%	96.4%	97.3%	99.3%	99.2%	99.5%
27	96.9%	96.5%	97.4%	99.3%	99.2%	99.5%
26	97%	96.6%	97.5%	99.4%	99.2%	99.5%
25	97.1%	96.7%	97.5%	99.4%	99.3%	99.5%
24	97.2%	96.8%	97.6%	99.4%	99.3%	99.5%
23	97.2%	96.8%	97.7%	99.4%	99.3%	99.5%
22	97.3%	96.9%	97.7%	99.5%	99.4%	99.6%
21	97.4%	97%	97.8%	99.5%	99.4%	99.6%
20	97.5%	97.1%	97.8%	99.5%	99.5%	99.6%
19	97.5%	97.2%	97.9%	99.5%	99.5%	99.6%
18	97.6%	97.3%	97.9%	99.6%	99.5%	99.6%
17	97.6%	97.4%	97.9%	99.6%	99.5%	99.6%
16	97.7%	97.4%	98%	99.6%	99.6%	99.6%
15	97.7%	97.5%	98%	99.6%	99.6%	99.6%
14	97.8%	97.5%	98%	99.6%	99.6%	99.6%
13	97.8%	97.5%	98.1%	99.6%	99.6%	99.6%
12	97.8%	97.6%	98.1%	99.6%	99.6%	99.6%
11	97.9%	97.6%	98.1%	99.6%	99.6%	99.6%
10	97.9%	97.6%	98.1%	99.6%	99.6%	99.7%
9	97.9%	97.7%	98.2%	99.6%	99.6%	99.7%
8	97.9%	97.7%	98.2%	99.6%	99.6%	99.7%
7	98%	97.7%	98.2%	99.6%	99.6%	99.7%
6	98%	97.8%	98.2%	99.6%	99.6%	99.7%
5	98.1%	97.8%	98.3%	99.7%	99.6%	99.7%
4	98.1%	97.9%	98.3%	99.7%	99.6%	99.7%
3	98.2%	98%	98.4%	99.7%	99.6%	99.7%
2	98.2%	98%	98.5%	99.7%	99.7%	99.7%
1	98.3%	98.1%	98.6%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 95.5% in Switzerland are expected to live past 60, 71.5% and 89.2% past 70, 41.4% and 74.4% past 80, and only 8.69% and 37% 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

Switzerland

Male

Female

1x

Age	Probability of dying
	Bhutan			Switzerland
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	37%	39.1%	36.3%
99	39.6%	42.2%	38%	34.3%	36.4%	33.7%
98	37.6%	40.3%	36%	31.6%	33.9%	30.8%
97	35.6%	38.3%	34%	28.9%	31.4%	28%
96	33.7%	36.3%	32%	26.2%	28.7%	25.3%
95	31.7%	34.3%	30%	23.7%	26%	22.7%
94	29.8%	32.3%	28.1%	21.3%	23.6%	20.3%
93	27.9%	30.3%	26.3%	19.1%	21.4%	18%
92	26.1%	28.4%	24.4%	17%	19.5%	15.8%
91	24.2%	26.5%	22.6%	15.1%	17.5%	13.8%
90	22.5%	24.6%	20.8%	13.3%	15.5%	12%
89	20.7%	22.8%	19.1%	11.6%	13.6%	10.5%
88	19.1%	21.1%	17.5%	10.2%	11.9%	9.08%
87	17.6%	19.4%	16%	8.86%	10.5%	7.78%
86	16.1%	17.8%	14.7%	7.67%	9.2%	6.62%
85	14.7%	16.2%	13.4%	6.66%	8.02%	5.68%
84	13.4%	14.8%	12.2%	5.78%	6.96%	4.88%
83	12.2%	13.4%	11.1%	5%	6.05%	4.18%
82	11%	12.2%	9.98%	4.31%	5.27%	3.56%
81	9.96%	11.1%	8.96%	3.75%	4.64%	3.02%
80	8.98%	10%	8.02%	3.26%	4.07%	2.58%
79	8.09%	9.09%	7.15%	2.84%	3.56%	2.24%
78	7.28%	8.24%	6.37%	2.49%	3.12%	1.96%
77	6.56%	7.47%	5.67%	2.2%	2.76%	1.73%
76	5.91%	6.78%	5.06%	1.97%	2.47%	1.53%
75	5.33%	6.15%	4.52%	1.78%	2.24%	1.37%
74	4.82%	5.59%	4.05%	1.61%	2.05%	1.22%
73	4.35%	5.07%	3.63%	1.46%	1.87%	1.1%
72	3.92%	4.61%	3.25%	1.33%	1.7%	1%
71	3.54%	4.18%	2.91%	1.2%	1.53%	0.9%
70	3.19%	3.79%	2.6%	1.08%	1.37%	0.8%
69	2.88%	3.44%	2.32%	0.97%	1.24%	0.72%
68	2.6%	3.11%	2.07%	0.9%	1.16%	0.65%
67	2.34%	2.82%	1.84%	0.84%	1.08%	0.61%
66	2.11%	2.55%	1.64%	0.77%	0.98%	0.57%
65	1.9%	2.31%	1.46%	0.71%	0.89%	0.53%
64	1.71%	2.09%	1.31%	0.64%	0.82%	0.46%
63	1.55%	1.9%	1.17%	0.57%	0.74%	0.41%
62	1.41%	1.73%	1.06%	0.52%	0.66%	0.37%
61	1.29%	1.58%	0.96%	0.47%	0.6%	0.34%
60	1.17%	1.44%	0.87%	0.43%	0.54%	0.31%
59	1.07%	1.31%	0.79%	0.38%	0.47%	0.29%
58	0.97%	1.19%	0.72%	0.34%	0.42%	0.26%
57	0.88%	1.08%	0.66%	0.31%	0.39%	0.23%
56	0.8%	0.97%	0.6%	0.29%	0.36%	0.21%
55	0.72%	0.87%	0.55%	0.26%	0.33%	0.2%
54	0.65%	0.78%	0.5%	0.24%	0.29%	0.18%
53	0.59%	0.7%	0.46%	0.21%	0.26%	0.16%
52	0.54%	0.63%	0.42%	0.19%	0.23%	0.14%
51	0.49%	0.56%	0.39%	0.17%	0.21%	0.13%
50	0.44%	0.51%	0.36%	0.16%	0.19%	0.12%
49	0.4%	0.46%	0.33%	0.14%	0.17%	0.11%
48	0.37%	0.42%	0.3%	0.12%	0.15%	0.1%
47	0.33%	0.38%	0.28%	0.11%	0.14%	0.08%
46	0.3%	0.34%	0.25%	0.1%	0.13%	0.08%
45	0.27%	0.3%	0.23%	0.09%	0.12%	0.07%
44	0.24%	0.27%	0.21%	0.08%	0.1%	0.07%
43	0.22%	0.24%	0.19%	0.08%	0.09%	0.06%
42	0.2%	0.22%	0.18%	0.07%	0.09%	0.05%
41	0.18%	0.2%	0.16%	0.06%	0.08%	0.04%
40	0.17%	0.18%	0.15%	0.05%	0.07%	0.04%
39	0.15%	0.16%	0.14%	0.05%	0.07%	0.03%
38	0.14%	0.15%	0.13%	0.05%	0.06%	0.03%
37	0.13%	0.14%	0.12%	0.04%	0.06%	0.03%
36	0.12%	0.13%	0.11%	0.04%	0.05%	0.03%
35	0.12%	0.13%	0.11%	0.04%	0.05%	0.03%
34	0.11%	0.12%	0.1%	0.03%	0.05%	0.02%
33	0.11%	0.11%	0.1%	0.03%	0.04%	0.02%
32	0.1%	0.11%	0.09%	0.03%	0.04%	0.02%
31	0.1%	0.1%	0.09%	0.03%	0.04%	0.02%
30	0.09%	0.1%	0.08%	0.03%	0.04%	0.02%
29	0.09%	0.1%	0.08%	0.03%	0.04%	0.02%
28	0.09%	0.1%	0.08%	0.03%	0.04%	0.02%
27	0.08%	0.1%	0.07%	0.03%	0.04%	0.01%
26	0.08%	0.1%	0.07%	0.03%	0.04%	0.01%
25	0.08%	0.1%	0.07%	0.03%	0.04%	0.01%
24	0.08%	0.1%	0.06%	0.03%	0.04%	0.02%
23	0.08%	0.1%	0.06%	0.03%	0.04%	0.02%
22	0.08%	0.1%	0.06%	0.03%	0.04%	0.01%
21	0.08%	0.1%	0.06%	0.02%	0.04%	0.008%
20	0.07%	0.09%	0.05%	0.02%	0.04%	0.009%
19	0.07%	0.09%	0.05%	0.02%	0.03%	0.01%
18	0.06%	0.08%	0.05%	0.02%	0.03%	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%	0.008%
15	0.04%	0.05%	0.03%	0.01%	0.01%	0.007%
14	0.04%	0.04%	0.03%	0.009%	0.01%	0.007%
13	0.03%	0.04%	0.03%	0.007%	0.008%	0.007%
12	0.03%	0.03%	0.02%	0.006%	0.006%	0.006%
11	0.03%	0.03%	0.02%	0.005%	0.005%	0.006%
10	0.03%	0.03%	0.02%	0.005%	0.004%	0.005%
9	0.03%	0.03%	0.02%	0.005%	0.005%	0.004%
8	0.03%	0.04%	0.02%	0.005%	0.005%	0.005%
7	0.03%	0.04%	0.03%	0.005%	0.005%	0.005%
6	0.04%	0.04%	0.03%	0.005%	0.005%	0.005%
5	0.05%	0.05%	0.04%	0.005%	0.006%	0.004%
4	0.05%	0.06%	0.05%	0.006%	0.007%	0.004%
3	0.07%	0.07%	0.06%	0.007%	0.008%	0.005%
2	0.08%	0.08%	0.08%	0.008%	0.008%	0.007%
1	0.1%	0.1%	0.1%	0.02%	0.02%	0.02%
0	1.66%	1.86%	1.44%	0.3%	0.32%	0.28%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.3% in Switzerland, 0.09% vs 0.03% at age 30, 1.17% vs 0.43% at 60, and 8.98% vs 3.26% at 80.

Death rate by age in Bhutan vs Switzerland

Chart Table

Bhutan

Male

Female

Switzerland

Male

Female

1x

Age	Death rate
	Bhutan			Switzerland
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	811	392	1,166
99	137.5	76.2	220.6	1,351	871	1,775
98	209.6	121.7	326	1,820	1,226	2,350
97	309	187.5	467	2,344	1,656	2,970
96	439	278.9	647	2,881	2,120	3,585
95	606	401	868	3,402	2,594	4,160
94	811	558	1,131	3,893	3,081	4,667
93	1,054	753	1,431	4,317	3,568	5,050
92	1,331	984	1,759	4,634	4,025	5,255
91	1,633	1,249	2,102	4,836	4,388	5,312
90	1,952	1,541	2,447	4,910	4,590	5,271
89	2,275	1,849	2,779	4,875	4,659	5,136
88	2,591	2,162	3,089	4,748	4,648	4,894
87	2,886	2,466	3,368	4,529	4,563	4,549
86	3,150	2,749	3,608	4,245	4,408	4,146
85	3,375	2,998	3,803	3,949	4,181	3,771
84	3,551	3,206	3,943	3,638	3,899	3,407
83	3,674	3,367	4,022	3,312	3,604	3,047
82	3,741	3,482	4,033	2,988	3,315	2,686
81	3,754	3,550	3,979	2,697	3,059	2,351
80	3,718	3,576	3,867	2,424	2,802	2,060
79	3,643	3,564	3,714	2,175	2,539	1,829
78	3,536	3,521	3,533	1,958	2,296	1,639
77	3,409	3,451	3,336	1,770	2,088	1,469
76	3,267	3,358	3,135	1,613	1,919	1,321
75	3,113	3,248	2,935	1,482	1,780	1,195
74	2,953	3,125	2,738	1,364	1,658	1,083
73	2,787	2,990	2,545	1,260	1,546	986
72	2,618	2,846	2,356	1,160	1,430	899
71	2,449	2,696	2,171	1,061	1,310	818
70	2,281	2,541	1,992	962	1,187	736
69	2,119	2,386	1,820	877	1,088	663
68	1,961	2,230	1,657	819	1,026	607
67	1,809	2,077	1,503	770	968	568
66	1,664	1,929	1,361	715	888	539
65	1,528	1,788	1,231	657	812	500
64	1,404	1,656	1,115	598	752	439
63	1,293	1,534	1,012	540	684	391
62	1,193	1,421	922	490	619	356
61	1,101	1,317	842	449	566	326
60	1,015	1,218	772	409	512	301
59	935	1,124	709	366	450	278.7
58	859	1,033	652	328	400	254.4
57	787	943	600	299.8	371	227
56	719	857	551	277.6	348	205.6
55	655	775	506	257.1	318	194.8
54	595	699	466	233.1	284.3	180.9
53	542	631	429	205.5	252.9	157.2
52	494	571	396	182.7	227.9	136.6
51	451	518	366	166.4	207.7	124.2
50	412	471	339	153.6	188.4	118.4
49	377	428	313	139.6	168.2	110.6
48	343	388	288.2	122.7	148.4	96.4
47	312	350	264.6	107.9	132.7	82.6
46	282.8	315	242	99.2	123.3	74.6
45	255.5	283.2	220.8	92.2	114.1	69.7
44	230.7	254	201.4	83.3	101.5	64.7
43	208.8	228.2	184.2	74.9	91.8	57.5
42	189.6	205.7	169.1	67.9	86.6	48.7
41	173.2	186.5	156.2	59.7	75.9	43.1
40	159.2	170.2	145	53.2	67.1	39
39	147.1	156.5	135.1	49.9	65.1	34.3
38	136.8	144.9	126.3	47.4	62.9	31.4
37	127.7	135.2	118.3	43.3	54.8	31.6
36	119.9	126.9	110.9	39.3	47.2	31.1
35	113.1	119.9	104.2	36.1	44.5	27.4
34	107	113.8	98.1	34.4	44.5	23.9
33	101.7	108.5	92.7	33.9	44.3	23.1
32	97	103.9	88	32.3	41.8	22.5
31	93	100	83.9	29.2	37.4	20.6
30	89.5	96.8	80.2	28.2	35.8	20.2
29	86.6	94.4	76.9	27.8	36.1	19.1
28	84.2	92.9	73.9	26.1	36.1	15.4
27	82.4	92.3	70.9	25	36.6	12.6
26	81	92.6	68.1	26	38.4	12.5
25	80.1	93.6	65.3	27.5	39.6	14.5
24	79.3	94.7	62.5	28	38.3	17
23	78.5	95.7	59.9	27.1	37.2	16.4
22	77.4	95.9	57.3	25.4	38.5	11.5
21	75.5	94.7	54.6	24.5	39.8	8.4
20	72.4	91.5	51.6	24	38.2	8.96
19	67.8	85.7	48.2	23.5	34.5	11.8
18	61.8	77.7	44.2	21.7	29.1	13.8
17	54.7	68	39.9	17	22.5	11.2
16	47.4	58.1	35.5	12.5	16.6	8.23
15	40.6	49	31.3	10.1	12.7	7.44
14	34.9	41.5	27.7	8.64	9.9	7.31
13	30.7	36	24.8	7.36	7.93	6.76
12	27.9	32.5	22.8	6.05	6.11	5.98
11	26.4	30.8	21.6	5.04	4.6	5.51
10	26.2	30.6	21.3	4.54	4.09	5.02
9	27.2	31.9	22	4.56	4.64	4.48
8	29.2	34.5	23.7	4.69	4.68	4.71
7	32.7	38.4	26.7	4.74	4.51	4.98
6	37.6	43.7	31.2	4.82	5.05	4.58
5	44.3	50.3	37.9	5.21	6.16	4.2
4	53	58.5	47.2	5.93	7.31	4.48
3	64.3	68.3	60	6.53	7.74	5.26
2	78.6	80.1	77.1	7.66	8.22	7.07
1	96.8	94	99.8	22.5	22.6	22.4
0	1,655	1,861	1,440	303	322	283.2

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 90 in Switzerland. The median age of death is 77.6 in Bhutan and 87.2 in Switzerland, 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 Switzerland more than their death rates.

Life expectancy in other countries

+ -

1x