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

Life expectancy by current age

Chart Table

Bhutan

Male

Female

San Marino

Male

Female

1x

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

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 86.3 in San Marino, rising to 80.2 and 87.9 at 65, and to 86.4 and 90.7 at 80 — higher than the 73.8 and 86 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

San Marino

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 96.6% in San Marino are expected to live past 60, 71.5% and 91.8% past 70, 41.4% and 78.6% past 80, and only 8.69% and 42% 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

San Marino

Male

Female

1x

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

This chart displays the probability of dying at any given age in Bhutan compared to San Marino, as 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.

Death rate by age in Bhutan vs San Marino

Chart Table

Bhutan

Male

Female

San Marino

Male

Female

1x

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

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 91 in San Marino. The median age of death is 77.6 in Bhutan and 88.3 in San Marino, 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 San Marino more than their death rates.

Life expectancy in other countries

+ -

1x