Life Expectancy in Bhutan vs San Marino (1950-2026)

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 Bhutan vs San Marino: 76 years vs 86.3 at 30, 80.2 vs 87.9 at 65, 86.4 vs 90.7 at 80 — significantly higher than the 73.8 vs 86 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Bhutan and San Marino.

Table

Current age, years	Total life expectancy, years
	Bhutan			San Marino
	Average	Male	Female	Average	Male	Female
0	73.8	72.1	75.8	86	84.5	87.4
1	75	73.4	76.9	86.1	84.6	87.5
2	75.1	73.5	77	86.1	84.7	87.5
3	75.2	73.6	77.1	86.1	84.7	87.5
4	75.2	73.6	77.1	86.1	84.7	87.5
5	75.3	73.7	77.2	86.1	84.7	87.5
6	75.3	73.7	77.2	86.2	84.7	87.5
7	75.3	73.7	77.2	86.2	84.7	87.6
8	75.3	73.7	77.2	86.2	84.7	87.6
9	75.4	73.8	77.2	86.2	84.7	87.6
10	75.4	73.8	77.3	86.2	84.7	87.6
11	75.4	73.8	77.3	86.2	84.7	87.6
12	75.4	73.8	77.3	86.2	84.7	87.6
13	75.4	73.9	77.3	86.2	84.7	87.6
14	75.4	73.9	77.3	86.2	84.7	87.6
15	75.5	73.9	77.3	86.2	84.7	87.6
16	75.5	73.9	77.4	86.2	84.7	87.6
17	75.5	74	77.4	86.2	84.7	87.6
18	75.6	74	77.4	86.2	84.7	87.6
19	75.6	74	77.4	86.2	84.7	87.6
20	75.6	74.1	77.5	86.2	84.7	87.6
21	75.7	74.1	77.5	86.2	84.8	87.6
22	75.7	74.2	77.5	86.2	84.8	87.6
23	75.8	74.2	77.6	86.3	84.8	87.6
24	75.8	74.3	77.6	86.3	84.8	87.6
25	75.8	74.3	77.6	86.3	84.8	87.6
26	75.9	74.4	77.7	86.3	84.8	87.7
27	75.9	74.4	77.7	86.3	84.9	87.7
28	76	74.5	77.7	86.3	84.9	87.7
29	76	74.5	77.8	86.3	84.9	87.7
30	76	74.6	77.8	86.3	84.9	87.7
31	76.1	74.6	77.8	86.4	84.9	87.7
32	76.1	74.7	77.9	86.4	84.9	87.7
33	76.2	74.7	77.9	86.4	84.9	87.7
34	76.2	74.8	78	86.4	85	87.7
35	76.3	74.8	78	86.4	85	87.7
36	76.3	74.9	78.1	86.4	85	87.8
37	76.4	74.9	78.1	86.4	85	87.8
38	76.4	75	78.2	86.5	85	87.8
39	76.5	75	78.2	86.5	85	87.8
40	76.5	75.1	78.3	86.5	85.1	87.8
41	76.6	75.1	78.3	86.5	85.1	87.8
42	76.7	75.2	78.4	86.5	85.1	87.9
43	76.7	75.3	78.4	86.6	85.1	87.9
44	76.8	75.3	78.5	86.6	85.1	87.9
45	76.9	75.4	78.6	86.6	85.2	87.9
46	77	75.5	78.7	86.6	85.2	88
47	77	75.6	78.7	86.7	85.2	88
48	77.1	75.7	78.8	86.7	85.3	88
49	77.3	75.8	78.9	86.7	85.3	88.1
50	77.4	76	79	86.8	85.4	88.1
51	77.5	76.1	79.1	86.8	85.4	88.2
52	77.6	76.2	79.2	86.9	85.5	88.2
53	77.7	76.4	79.3	86.9	85.5	88.3
54	77.9	76.5	79.5	87	85.6	88.3
55	78	76.7	79.6	87.1	85.6	88.4
56	78.2	76.9	79.7	87.1	85.7	88.4
57	78.4	77.1	79.9	87.2	85.8	88.5
58	78.6	77.3	80	87.2	85.8	88.6
59	78.8	77.5	80.2	87.3	85.9	88.6
60	79	77.8	80.3	87.4	86	88.7
61	79.2	78	80.5	87.5	86.1	88.8
62	79.4	78.3	80.7	87.6	86.2	88.9
63	79.7	78.6	80.9	87.7	86.3	89
64	79.9	78.9	81.1	87.8	86.4	89.1
65	80.2	79.2	81.3	87.9	86.5	89.2
66	80.5	79.5	81.5	88	86.6	89.3
67	80.8	79.8	81.8	88.1	86.8	89.4
68	81.1	80.2	82.1	88.3	86.9	89.5
69	81.4	80.6	82.4	88.4	87.1	89.6
70	81.8	81	82.7	88.5	87.2	89.7
71	82.2	81.4	83	88.7	87.4	89.9
72	82.5	81.8	83.3	88.9	87.6	90
73	83	82.3	83.7	89	87.8	90.2
74	83.4	82.7	84.1	89.2	88	90.3
75	83.8	83.2	84.5	89.4	88.3	90.5
76	84.3	83.7	84.9	89.7	88.5	90.7
77	84.8	84.2	85.3	89.9	88.8	90.8
78	85.3	84.8	85.8	90.1	89.1	91
79	85.8	85.4	86.3	90.4	89.4	91.3
80	86.4	85.9	86.8	90.7	89.7	91.5
81	87	86.6	87.4	91	90	91.8
82	87.6	87.2	88	91.3	90.4	92
83	88.2	87.8	88.6	91.7	90.8	92.4
84	88.9	88.5	89.2	92.1	91.3	92.7
85	89.6	89.2	89.9	92.5	91.8	93.1
86	90.3	89.9	90.5	93	92.3	93.5
87	91	90.7	91.2	93.5	92.8	93.9
88	91.7	91.4	92	94	93.3	94.4
89	92.5	92.2	92.7	94.5	93.9	94.9
90	93.2	93	93.4	95.1	94.5	95.4
91	94	93.8	94.2	95.7	95.2	95.9
92	94.8	94.6	95	96.3	95.8	96.5
93	95.7	95.5	95.8	96.9	96.5	97.2
94	96.5	96.3	96.6	97.6	97.3	97.8
95	97.4	97.2	97.5	98.4	98	98.5
96	98.2	98.1	98.3	99.1	98.8	99.2
97	99.1	99	99.2	99.9	99.6	100
98	100	99.9	100.1	100.7	100.4	100.8
99	100.9	100.8	101	101.5	101.2	101.6
100	101.8	101.7	101.9	102.3	102	102.4

Odds of living to age in Bhutan vs San Marino

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.6% in Bhutan and 96.6% in San Marino are expected to survive till at least 60 years old, 71.5% and 91.8% will live to 70 years or older, 41.4% and 78.6% to 80+ years, and 8.69% and 42% 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
	Bhutan			San Marino
	Average	Male	Female	Average	Male	Female
1	98.3%	98.1%	98.6%	99.9%	99.9%	99.9%
2	98.2%	98%	98.5%	99.9%	99.9%	99.9%
3	98.2%	98%	98.4%	99.9%	99.9%	99.9%
4	98.1%	97.9%	98.3%	99.9%	99.9%	99.9%
5	98.1%	97.8%	98.3%	99.9%	99.9%	99.9%
6	98%	97.8%	98.2%	99.9%	99.9%	99.9%
7	98%	97.7%	98.2%	99.9%	99.8%	99.9%
8	97.9%	97.7%	98.2%	99.9%	99.8%	99.9%
9	97.9%	97.7%	98.2%	99.9%	99.8%	99.9%
10	97.9%	97.6%	98.1%	99.8%	99.8%	99.9%
11	97.9%	97.6%	98.1%	99.8%	99.8%	99.9%
12	97.8%	97.6%	98.1%	99.8%	99.8%	99.9%
13	97.8%	97.5%	98.1%	99.8%	99.8%	99.8%
14	97.8%	97.5%	98%	99.8%	99.8%	99.8%
15	97.7%	97.5%	98%	99.8%	99.8%	99.8%
16	97.7%	97.4%	98%	99.8%	99.8%	99.8%
17	97.6%	97.4%	97.9%	99.8%	99.8%	99.8%
18	97.6%	97.3%	97.9%	99.8%	99.8%	99.8%
19	97.5%	97.2%	97.9%	99.8%	99.8%	99.8%
20	97.5%	97.1%	97.8%	99.8%	99.7%	99.8%
21	97.4%	97%	97.8%	99.7%	99.7%	99.8%
22	97.3%	96.9%	97.7%	99.7%	99.7%	99.8%
23	97.2%	96.8%	97.7%	99.7%	99.7%	99.8%
24	97.2%	96.8%	97.6%	99.7%	99.6%	99.7%
25	97.1%	96.7%	97.5%	99.7%	99.6%	99.7%
26	97%	96.6%	97.5%	99.6%	99.6%	99.7%
27	96.9%	96.5%	97.4%	99.6%	99.6%	99.7%
28	96.8%	96.4%	97.3%	99.6%	99.5%	99.7%
29	96.8%	96.3%	97.3%	99.6%	99.5%	99.7%
30	96.7%	96.2%	97.2%	99.6%	99.5%	99.7%
31	96.6%	96.1%	97.1%	99.5%	99.5%	99.7%
32	96.5%	96%	97%	99.5%	99.4%	99.6%
33	96.4%	95.9%	96.9%	99.5%	99.4%	99.6%
34	96.3%	95.8%	96.8%	99.5%	99.4%	99.6%
35	96.2%	95.7%	96.7%	99.5%	99.3%	99.6%
36	96.1%	95.5%	96.6%	99.4%	99.3%	99.5%
37	95.9%	95.4%	96.5%	99.4%	99.3%	99.5%
38	95.8%	95.3%	96.4%	99.4%	99.2%	99.5%
39	95.7%	95.1%	96.3%	99.3%	99.2%	99.4%
40	95.5%	95%	96.1%	99.3%	99.2%	99.4%
41	95.4%	94.8%	96%	99.2%	99.1%	99.4%
42	95.2%	94.6%	95.8%	99.2%	99.1%	99.3%
43	95%	94.4%	95.7%	99.1%	99%	99.2%
44	94.8%	94.2%	95.5%	99.1%	98.9%	99.2%
45	94.6%	93.9%	95.3%	99%	98.9%	99.1%
46	94.3%	93.7%	95.1%	98.9%	98.8%	99.1%
47	94%	93.3%	94.8%	98.8%	98.7%	99%
48	93.7%	93%	94.6%	98.8%	98.6%	98.9%
49	93.4%	92.6%	94.3%	98.7%	98.5%	98.8%
50	93%	92.2%	94%	98.6%	98.4%	98.7%
51	92.6%	91.7%	93.6%	98.4%	98.3%	98.6%
52	92.1%	91.2%	93.2%	98.3%	98.1%	98.5%
53	91.6%	90.6%	92.9%	98.1%	98%	98.3%
54	91.1%	90%	92.4%	98%	97.8%	98.2%
55	90.5%	89.3%	92%	97.8%	97.6%	98%
56	89.9%	88.5%	91.5%	97.6%	97.4%	97.8%
57	89.1%	87.7%	90.9%	97.4%	97.1%	97.6%
58	88.3%	86.7%	90.3%	97.2%	96.9%	97.4%
59	87.5%	85.7%	89.6%	96.9%	96.6%	97.2%
60	86.6%	84.6%	88.9%	96.6%	96.3%	97%
61	85.5%	83.3%	88.2%	96.3%	96%	96.7%
62	84.4%	82%	87.3%	96%	95.6%	96.4%
63	83.2%	80.6%	86.4%	95.6%	95.2%	96%
64	81.9%	79.1%	85.4%	95.2%	94.8%	95.7%
65	80.5%	77.4%	84.3%	94.8%	94.3%	95.3%
66	79%	75.6%	83%	94.3%	93.7%	94.9%
67	77.4%	73.7%	81.7%	93.8%	93.1%	94.4%
68	75.5%	71.6%	80.2%	93.2%	92.4%	93.9%
69	73.6%	69.4%	78.5%	92.5%	91.7%	93.4%
70	71.5%	67%	76.7%	91.8%	90.8%	92.8%
71	69.2%	64.5%	74.7%	91%	89.9%	92.1%
72	66.7%	61.8%	72.5%	90.1%	88.8%	91.5%
73	64.1%	58.9%	70.2%	89.1%	87.6%	90.7%
74	61.3%	55.9%	67.6%	88.1%	86.3%	89.9%
75	58.4%	52.8%	64.9%	86.9%	84.8%	88.9%
76	55.3%	49.6%	62%	85.6%	83.2%	87.9%
77	52%	46.2%	58.8%	84.1%	81.4%	86.8%
78	48.6%	42.7%	55.5%	82.4%	79.4%	85.5%
79	45%	39.2%	52%	80.6%	77.1%	84%
80	41.4%	35.7%	48.3%	78.6%	74.6%	82.4%
81	37.7%	32.1%	44.4%	76.2%	71.9%	80.5%
82	33.9%	28.5%	40.4%	73.6%	68.8%	78.3%
83	30.2%	25.1%	36.4%	70.7%	65.4%	75.8%
84	26.5%	21.7%	32.3%	67.5%	61.6%	73%
85	23%	18.5%	28.4%	63.9%	57.6%	69.8%
86	19.6%	15.5%	24.6%	60%	53.4%	66.3%
87	16.4%	12.7%	21%	55.8%	48.9%	62.4%
88	13.6%	10.3%	17.6%	51.4%	44.2%	58.2%
89	11%	8.1%	14.5%	46.8%	39.5%	53.7%
90	8.69%	6.25%	11.8%	42%	34.7%	48.9%
91	6.74%	4.71%	9.31%	37.2%	29.9%	43.9%
92	5.11%	3.46%	7.21%	32.3%	25.3%	38.7%
93	3.78%	2.48%	5.45%	27.6%	20.9%	33.5%
94	2.72%	1.73%	4.02%	23%	16.9%	28.4%
95	1.91%	1.17%	2.89%	18.7%	13.3%	23.5%
96	1.31%	0.77%	2.02%	14.8%	10.2%	19%
97	0.87%	0.49%	1.37%	11.4%	7.57%	14.9%
98	0.56%	0.3%	0.91%	8.56%	5.47%	11.3%
99	0.35%	0.18%	0.58%	6.24%	3.83%	8.33%
100	0.21%	0.1%	0.36%	4.41%	2.58%	5.93%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.66% in the birth year in Bhutan and 0.1% in San Marino, 0.09% vs 0.02% at age 30, 1.17% vs 0.31% at 60, and 8.98% vs 2.97% at 80.

Below is a graph displaying the probabilities of dying in Bhutan compared to San Marino at any given age.

Table

Age	Probability of dying
	Bhutan			San Marino
	Average	Male	Female	Average	Male	Female
0	1.66%	1.86%	1.44%	0.1%	0.12%	0.09%
1	0.1%	0.1%	0.1%	0.02%	0.02%	0.02%
2	0.08%	0.08%	0.08%	0.008%	0.008%	0.008%
3	0.07%	0.07%	0.06%	0.003%	0.003%	0.003%
4	0.05%	0.06%	0.05%	0.002%	0.002%	0.002%
5	0.05%	0.05%	0.04%	0.004%	0.004%	0.005%
6	0.04%	0.04%	0.03%	0.004%	0.004%	0.004%
7	0.03%	0.04%	0.03%	0.003%	0.003%	0.003%
8	0.03%	0.04%	0.02%	0.003%	0.003%	0.003%
9	0.03%	0.03%	0.02%	0.003%	0.003%	0.003%
10	0.03%	0.03%	0.02%	0.003%	0.003%	0.003%
11	0.03%	0.03%	0.02%	0.003%	0.003%	0.004%
12	0.03%	0.03%	0.02%	0.004%	0.004%	0.004%
13	0.03%	0.04%	0.03%	0.005%	0.005%	0.005%
14	0.04%	0.04%	0.03%	0.006%	0.007%	0.006%
15	0.04%	0.05%	0.03%	0.008%	0.01%	0.007%
16	0.05%	0.06%	0.04%	0.01%	0.01%	0.009%
17	0.06%	0.07%	0.04%	0.01%	0.02%	0.01%
18	0.06%	0.08%	0.05%	0.02%	0.02%	0.01%
19	0.07%	0.09%	0.05%	0.02%	0.02%	0.01%
20	0.07%	0.09%	0.05%	0.02%	0.02%	0.01%
21	0.08%	0.1%	0.06%	0.02%	0.03%	0.01%
22	0.08%	0.1%	0.06%	0.02%	0.03%	0.01%
23	0.08%	0.1%	0.06%	0.02%	0.03%	0.01%
24	0.08%	0.1%	0.06%	0.02%	0.03%	0.01%
25	0.08%	0.1%	0.07%	0.02%	0.03%	0.01%
26	0.08%	0.1%	0.07%	0.02%	0.03%	0.01%
27	0.08%	0.1%	0.07%	0.02%	0.03%	0.01%
28	0.09%	0.1%	0.08%	0.02%	0.03%	0.01%
29	0.09%	0.1%	0.08%	0.02%	0.03%	0.01%
30	0.09%	0.1%	0.08%	0.02%	0.03%	0.02%
31	0.1%	0.1%	0.09%	0.02%	0.03%	0.02%
32	0.1%	0.11%	0.09%	0.02%	0.03%	0.02%
33	0.11%	0.11%	0.1%	0.02%	0.03%	0.02%
34	0.11%	0.12%	0.1%	0.03%	0.03%	0.02%
35	0.12%	0.13%	0.11%	0.03%	0.03%	0.03%
36	0.12%	0.13%	0.11%	0.03%	0.03%	0.03%
37	0.13%	0.14%	0.12%	0.04%	0.04%	0.03%
38	0.14%	0.15%	0.13%	0.04%	0.04%	0.04%
39	0.15%	0.16%	0.14%	0.04%	0.04%	0.04%
40	0.17%	0.18%	0.15%	0.05%	0.05%	0.05%
41	0.18%	0.2%	0.16%	0.05%	0.05%	0.05%
42	0.2%	0.22%	0.18%	0.06%	0.06%	0.06%
43	0.22%	0.24%	0.19%	0.06%	0.06%	0.06%
44	0.24%	0.27%	0.21%	0.07%	0.07%	0.06%
45	0.27%	0.3%	0.23%	0.07%	0.08%	0.07%
46	0.3%	0.34%	0.25%	0.08%	0.09%	0.08%
47	0.33%	0.38%	0.28%	0.09%	0.09%	0.08%
48	0.37%	0.42%	0.3%	0.1%	0.11%	0.09%
49	0.4%	0.46%	0.33%	0.11%	0.12%	0.1%
50	0.44%	0.51%	0.36%	0.12%	0.14%	0.11%
51	0.49%	0.56%	0.39%	0.14%	0.15%	0.13%
52	0.54%	0.63%	0.42%	0.15%	0.17%	0.14%
53	0.59%	0.7%	0.46%	0.17%	0.18%	0.15%
54	0.65%	0.78%	0.5%	0.18%	0.2%	0.17%
55	0.72%	0.87%	0.55%	0.2%	0.21%	0.18%
56	0.8%	0.97%	0.6%	0.21%	0.23%	0.2%
57	0.88%	1.08%	0.66%	0.23%	0.25%	0.22%
58	0.97%	1.19%	0.72%	0.26%	0.28%	0.24%
59	1.07%	1.31%	0.79%	0.28%	0.31%	0.26%
60	1.17%	1.44%	0.87%	0.31%	0.34%	0.29%
61	1.29%	1.58%	0.96%	0.35%	0.38%	0.31%
62	1.41%	1.73%	1.06%	0.39%	0.43%	0.34%
63	1.55%	1.9%	1.17%	0.42%	0.47%	0.38%
64	1.71%	2.09%	1.31%	0.47%	0.53%	0.41%
65	1.9%	2.31%	1.46%	0.52%	0.58%	0.45%
66	2.11%	2.55%	1.64%	0.57%	0.65%	0.49%
67	2.34%	2.82%	1.84%	0.63%	0.73%	0.53%
68	2.6%	3.11%	2.07%	0.7%	0.82%	0.57%
69	2.88%	3.44%	2.32%	0.78%	0.93%	0.62%
70	3.19%	3.79%	2.6%	0.86%	1.05%	0.68%
71	3.54%	4.18%	2.91%	0.97%	1.2%	0.75%
72	3.92%	4.61%	3.25%	1.09%	1.35%	0.83%
73	4.35%	5.07%	3.63%	1.22%	1.52%	0.92%
74	4.82%	5.59%	4.05%	1.35%	1.71%	1.03%
75	5.33%	6.15%	4.52%	1.51%	1.92%	1.15%
76	5.91%	6.78%	5.06%	1.72%	2.16%	1.3%
77	6.56%	7.47%	5.67%	1.94%	2.46%	1.48%
78	7.28%	8.24%	6.37%	2.21%	2.81%	1.7%
79	8.09%	9.09%	7.15%	2.56%	3.23%	1.98%
80	8.98%	10%	8.02%	2.97%	3.73%	2.31%
81	9.96%	11.1%	8.96%	3.44%	4.31%	2.71%
82	11%	12.2%	9.98%	3.97%	4.95%	3.18%
83	12.2%	13.4%	11.1%	4.57%	5.68%	3.72%
84	13.4%	14.8%	12.2%	5.29%	6.5%	4.34%
85	14.7%	16.2%	13.4%	6.11%	7.4%	5.05%
86	16.1%	17.8%	14.7%	6.96%	8.39%	5.84%
87	17.6%	19.4%	16%	7.91%	9.5%	6.75%
88	19.1%	21.1%	17.5%	8.98%	10.8%	7.77%
89	20.7%	22.8%	19.1%	10.2%	12.2%	8.93%
90	22.5%	24.6%	20.8%	11.5%	13.7%	10.3%
91	24.2%	26.5%	22.6%	13%	15.5%	11.7%
92	26.1%	28.4%	24.4%	14.8%	17.3%	13.4%
93	27.9%	30.3%	26.3%	16.7%	19.3%	15.2%
94	29.8%	32.3%	28.1%	18.6%	21.3%	17.2%
95	31.7%	34.3%	30%	20.7%	23.4%	19.4%
96	33.7%	36.3%	32%	22.9%	25.5%	21.6%
97	35.6%	38.3%	34%	25.1%	27.8%	23.9%
98	37.6%	40.3%	36%	27.2%	30.1%	26.4%
99	39.6%	42.2%	38%	29.3%	32.5%	28.9%
100	41.5%	44.3%	40%	31.5%	34.6%	31.2%

Death rate by age in Bhutan compared to San Marino

In Bhutan, the most common age of death is 81, compared to 91 in San Marino. The median age of death is 77.6 in Bhutan and 88.3 in San Marino — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bhutan			San Marino
	Total	Male	Female	Total	Male	Female
0	1,655	1,861	1,440	104.4	115.1	92.9
1	96.8	94	99.8	16.7	16.8	16.6
2	78.6	80.1	77.1	8.22	8.29	8.14
3	64.3	68.3	60	3.3	3.3	3.31
4	53	58.5	47.2	2.02	1.85	2.17
5	44.3	50.3	37.9	4.44	4.36	4.52
6	37.6	43.7	31.2	3.69	3.53	3.85
7	32.7	38.4	26.7	3.22	3.02	3.42
8	29.2	34.5	23.7	2.97	2.76	3.19
9	27.2	31.9	22	2.92	2.71	3.13
10	26.2	30.6	21.3	3.05	2.86	3.25
11	26.4	30.8	21.6	3.41	3.26	3.55
12	27.9	32.5	22.8	4.03	3.98	4.07
13	30.7	36	24.8	5.01	5.16	4.85
14	34.9	41.5	27.7	6.43	6.96	5.9
15	40.6	49	31.3	8.4	9.53	7.22
16	47.4	58.1	35.5	10.9	12.9	8.67
17	54.7	68	39.9	13.4	16.6	10
18	61.8	77.7	44.2	15.4	20.2	11.1
19	67.8	85.7	48.2	17.4	22.9	11.7
20	72.4	91.5	51.6	19.2	24.6	11.9
21	75.5	94.7	54.6	19.3	25.2	11.7
22	77.4	95.9	57.3	18.8	25.3	11.5
23	78.5	95.7	59.9	18.8	25.1	11.4
24	79.3	94.7	62.5	18.5	25	11.4
25	80.1	93.6	65.3	18.4	25	11.6
26	81	92.6	68.1	18.7	25.1	12
27	82.4	92.3	70.9	19.1	25.3	12.7
28	84.2	92.9	73.9	19.8	25.6	13.5
29	86.6	94.4	76.9	20.5	26	14.5
30	89.5	96.8	80.2	21.3	26.4	15.7
31	93	100	83.9	22.1	27	17
32	97	103.9	88	23	27.7	18.4
33	101.7	108.5	92.7	24.5	28.6	20.6
34	107	113.8	98.1	26.7	29.7	23.8
35	113.1	119.9	104.2	29.3	31.2	27.5
36	119.9	126.9	110.9	32.1	33.1	31.2
37	127.7	135.2	118.3	35	35.4	34.5
38	136.8	144.9	126.3	38	38.3	37.6
39	147.1	156.5	135.1	41.5	41.8	41.2
40	159.2	170.2	145	45.6	45.8	45.3
41	173.2	186.5	156.2	50.1	50.4	49.9
42	189.6	205.7	169.1	55.1	55.4	54.7
43	208.8	228.2	184.2	60.3	61.2	59.5
44	230.7	254	201.4	65.9	67.8	64.1
45	255.5	283.2	220.8	72.1	75.4	68.9
46	282.8	315	242	79	84	74.6
47	312	350	264.6	87.3	93.8	81.8
48	343	388	288.2	97.7	105.3	90.7
49	377	428	313	109.7	118.9	100.9
50	412	471	339	122.9	134	112.4
51	451	518	366	136.9	150	124.9
52	494	571	396	151.4	166	137.9
53	542	631	429	165.1	180.9	151.3
54	595	699	466	179.7	194.7	164.7
55	655	775	506	194.4	208.9	178.7
56	719	857	551	209.6	225.2	193.6
57	787	943	600	227.6	245.5	210.2
58	859	1,033	652	248.8	270.2	229.4
59	935	1,124	709	274.4	298.7	251.6
60	1,015	1,218	772	303	331	276.6
61	1,101	1,317	842	336	367	304
62	1,193	1,421	922	370	407	332
63	1,293	1,534	1,012	405	450	362
64	1,404	1,656	1,115	448	498	394
65	1,528	1,788	1,231	491	551	426
66	1,664	1,929	1,361	537	611	460
67	1,809	2,077	1,503	593	680	496
68	1,961	2,230	1,657	651	760	536
69	2,119	2,386	1,820	717	852	582
70	2,281	2,541	1,992	793	958	634
71	2,449	2,696	2,171	878	1,075	694
72	2,618	2,846	2,356	978	1,200	761
73	2,787	2,990	2,545	1,084	1,333	837
74	2,953	3,125	2,738	1,191	1,474	922
75	3,113	3,248	2,935	1,315	1,627	1,021
76	3,267	3,358	3,135	1,469	1,800	1,139
77	3,409	3,451	3,336	1,634	1,998	1,282
78	3,536	3,521	3,533	1,821	2,228	1,455
79	3,643	3,564	3,714	2,064	2,491	1,663
80	3,718	3,576	3,867	2,336	2,784	1,905
81	3,754	3,550	3,979	2,619	3,095	2,182
82	3,741	3,482	4,033	2,922	3,407	2,487
83	3,674	3,367	4,022	3,228	3,714	2,817
84	3,551	3,206	3,943	3,567	4,005	3,167
85	3,375	2,998	3,803	3,906	4,263	3,523
86	3,150	2,749	3,608	4,175	4,480	3,875
87	2,886	2,466	3,368	4,414	4,646	4,210
88	2,591	2,162	3,089	4,618	4,758	4,520
89	2,275	1,849	2,779	4,768	4,805	4,793
90	1,952	1,541	2,447	4,843	4,768	5,012
91	1,633	1,249	2,102	4,844	4,632	5,153
92	1,331	984	1,759	4,774	4,384	5,194
93	1,054	753	1,431	4,594	4,031	5,113
94	811	558	1,131	4,268	3,594	4,898
95	606	401	868	3,861	3,103	4,553
96	439	278.9	647	3,398	2,597	4,098
97	309	187.5	467	2,865	2,103	3,560
98	209.6	121.7	326	2,328	1,645	2,982
99	137.5	76.2	220.6	1,829	1,242	2,406
100	0	0	21.2	1,316	735	1,896

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 Bhutan and San Marino 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
• Bhutan vs San Marino: Statistical Comparison

By topic vs comparisons:

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