Life Expectancy in Bhutan vs Monaco (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Monaco

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Monaco
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	103.1	102.6	103.3
99	100.9	100.8	101	102.3	101.8	102.6
98	100	99.9	100.1	101.5	101	101.9
97	99.1	99	99.2	100.8	100.2	101.2
96	98.2	98.1	98.3	100.1	99.4	100.5
95	97.4	97.2	97.5	99.3	98.7	99.8
94	96.5	96.3	96.6	98.7	97.9	99.2
93	95.7	95.5	95.8	98	97.2	98.5
92	94.8	94.6	95	97.3	96.6	97.9
91	94	93.8	94.2	96.7	95.9	97.4
90	93.2	93	93.4	96.1	95.3	96.8
89	92.5	92.2	92.7	95.6	94.7	96.3
88	91.7	91.4	92	95	94.1	95.8
87	91	90.7	91.2	94.5	93.5	95.4
86	90.3	89.9	90.5	94	93	94.9
85	89.6	89.2	89.9	93.5	92.5	94.5
84	88.9	88.5	89.2	93.1	92	94.1
83	88.2	87.8	88.6	92.6	91.5	93.7
82	87.6	87.2	88	92.2	91.1	93.3
81	87	86.6	87.4	91.9	90.7	93
80	86.4	85.9	86.8	91.5	90.3	92.7
79	85.8	85.4	86.3	91.2	89.9	92.4
78	85.3	84.8	85.8	90.9	89.6	92.2
77	84.8	84.2	85.3	90.6	89.3	91.9
76	84.3	83.7	84.9	90.3	89	91.7
75	83.8	83.2	84.5	90.1	88.7	91.5
74	83.4	82.7	84.1	89.9	88.5	91.4
73	83	82.3	83.7	89.7	88.2	91.2
72	82.5	81.8	83.3	89.5	88	91.1
71	82.2	81.4	83	89.3	87.8	90.9
70	81.8	81	82.7	89.1	87.6	90.8
69	81.4	80.6	82.4	89	87.4	90.7
68	81.1	80.2	82.1	88.8	87.2	90.6
67	80.8	79.8	81.8	88.7	87.1	90.5
66	80.5	79.5	81.5	88.6	86.9	90.4
65	80.2	79.2	81.3	88.5	86.8	90.3
64	79.9	78.9	81.1	88.4	86.7	90.3
63	79.7	78.6	80.9	88.3	86.6	90.2
62	79.4	78.3	80.7	88.2	86.5	90.1
61	79.2	78	80.5	88.2	86.4	90.1
60	79	77.8	80.3	88.1	86.3	90
59	78.8	77.5	80.2	88	86.2	90
58	78.6	77.3	80	88	86.1	90
57	78.4	77.1	79.9	87.9	86.1	89.9
56	78.2	76.9	79.7	87.9	86	89.9
55	78	76.7	79.6	87.8	85.9	89.8
54	77.9	76.5	79.5	87.8	85.9	89.8
53	77.7	76.4	79.3	87.7	85.8	89.8
52	77.6	76.2	79.2	87.7	85.8	89.7
51	77.5	76.1	79.1	87.6	85.7	89.7
50	77.4	76	79	87.6	85.7	89.7
49	77.3	75.8	78.9	87.6	85.7	89.7
48	77.1	75.7	78.8	87.6	85.6	89.6
47	77	75.6	78.7	87.5	85.6	89.6
46	77	75.5	78.7	87.5	85.6	89.6
45	76.9	75.4	78.6	87.5	85.6	89.6
44	76.8	75.3	78.5	87.5	85.5	89.5
43	76.7	75.3	78.4	87.4	85.5	89.5
42	76.7	75.2	78.4	87.4	85.5	89.5
41	76.6	75.1	78.3	87.4	85.5	89.5
40	76.5	75.1	78.3	87.4	85.5	89.5
39	76.5	75	78.2	87.4	85.5	89.5
38	76.4	75	78.2	87.4	85.4	89.5
37	76.4	74.9	78.1	87.4	85.4	89.4
36	76.3	74.9	78.1	87.3	85.4	89.4
35	76.3	74.8	78	87.3	85.4	89.4
34	76.2	74.8	78	87.3	85.4	89.4
33	76.2	74.7	77.9	87.3	85.4	89.4
32	76.1	74.7	77.9	87.3	85.4	89.4
31	76.1	74.6	77.8	87.3	85.4	89.4
30	76	74.6	77.8	87.3	85.4	89.4
29	76	74.5	77.8	87.3	85.3	89.4
28	76	74.5	77.7	87.3	85.3	89.4
27	75.9	74.4	77.7	87.3	85.3	89.4
26	75.9	74.4	77.7	87.2	85.3	89.3
25	75.8	74.3	77.6	87.2	85.3	89.3
24	75.8	74.3	77.6	87.2	85.3	89.3
23	75.8	74.2	77.6	87.2	85.3	89.3
22	75.7	74.2	77.5	87.2	85.3	89.3
21	75.7	74.1	77.5	87.2	85.3	89.3
20	75.6	74.1	77.5	87.2	85.2	89.3
19	75.6	74	77.4	87.2	85.2	89.3
18	75.6	74	77.4	87.2	85.2	89.3
17	75.5	74	77.4	87.2	85.2	89.3
16	75.5	73.9	77.4	87.2	85.2	89.3
15	75.5	73.9	77.3	87.2	85.2	89.3
14	75.4	73.9	77.3	87.1	85.2	89.3
13	75.4	73.9	77.3	87.1	85.2	89.3
12	75.4	73.8	77.3	87.1	85.2	89.3
11	75.4	73.8	77.3	87.1	85.2	89.3
10	75.4	73.8	77.3	87.1	85.2	89.2
9	75.4	73.8	77.2	87.1	85.2	89.2
8	75.3	73.7	77.2	87.1	85.2	89.2
7	75.3	73.7	77.2	87.1	85.2	89.2
6	75.3	73.7	77.2	87.1	85.2	89.2
5	75.3	73.7	77.2	87.1	85.2	89.2
4	75.2	73.6	77.1	87.1	85.1	89.2
3	75.2	73.6	77.1	87.1	85.1	89.2
2	75.1	73.5	77	87.1	85.1	89.2
1	75	73.4	76.9	87.1	85.1	89.2
0	73.8	72.1	75.8	86.7	84.8	88.8

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 87.3 in Monaco, rising to 80.2 and 88.5 at 65, and to 86.4 and 91.5 at 80 — higher than the 73.8 and 86.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Monaco

Male

Female

1x

Age	Survival probability
	Bhutan			Monaco
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	8.43%	4.58%	12.9%
99	0.35%	0.18%	0.58%	10.8%	6.25%	16%
98	0.56%	0.3%	0.91%	13.5%	8.3%	19.4%
97	0.87%	0.49%	1.37%	16.6%	10.7%	23.2%
96	1.31%	0.77%	2.02%	20%	13.6%	27.2%
95	1.91%	1.17%	2.89%	23.7%	16.8%	31.4%
94	2.72%	1.73%	4.02%	27.7%	20.3%	35.7%
93	3.78%	2.48%	5.45%	31.8%	24.1%	40.1%
92	5.11%	3.46%	7.21%	36%	28.2%	44.5%
91	6.74%	4.71%	9.31%	40.2%	32.4%	48.8%
90	8.69%	6.25%	11.8%	44.5%	36.7%	53%
89	11%	8.1%	14.5%	48.7%	41%	57.1%
88	13.6%	10.3%	17.6%	52.7%	45.3%	60.9%
87	16.4%	12.7%	21%	56.7%	49.5%	64.6%
86	19.6%	15.5%	24.6%	60.5%	53.6%	68%
85	23%	18.5%	28.4%	64.1%	57.5%	71.2%
84	26.5%	21.7%	32.3%	67.5%	61.2%	74.3%
83	30.2%	25.1%	36.4%	70.7%	64.7%	77.1%
82	33.9%	28.5%	40.4%	73.6%	68%	79.6%
81	37.7%	32.1%	44.4%	76.3%	71%	81.9%
80	41.4%	35.7%	48.3%	78.7%	73.8%	83.9%
79	45%	39.2%	52%	80.9%	76.3%	85.7%
78	48.6%	42.7%	55.5%	82.8%	78.6%	87.3%
77	52%	46.2%	58.8%	84.6%	80.7%	88.6%
76	55.3%	49.6%	62%	86.1%	82.6%	89.9%
75	58.4%	52.8%	64.9%	87.6%	84.3%	90.9%
74	61.3%	55.9%	67.6%	88.8%	85.9%	91.9%
73	64.1%	58.9%	70.2%	90%	87.3%	92.7%
72	66.7%	61.8%	72.5%	91%	88.5%	93.5%
71	69.2%	64.5%	74.7%	91.9%	89.7%	94.1%
70	71.5%	67%	76.7%	92.7%	90.7%	94.7%
69	73.6%	69.4%	78.5%	93.4%	91.7%	95.2%
68	75.5%	71.6%	80.2%	94.1%	92.5%	95.7%
67	77.4%	73.7%	81.7%	94.6%	93.2%	96%
66	79%	75.6%	83%	95.1%	93.9%	96.4%
65	80.5%	77.4%	84.3%	95.6%	94.4%	96.7%
64	81.9%	79.1%	85.4%	96%	94.9%	96.9%
63	83.2%	80.6%	86.4%	96.3%	95.4%	97.1%
62	84.4%	82%	87.3%	96.6%	95.8%	97.3%
61	85.5%	83.3%	88.2%	96.9%	96.2%	97.5%
60	86.6%	84.6%	88.9%	97.1%	96.5%	97.7%
59	87.5%	85.7%	89.6%	97.3%	96.8%	97.8%
58	88.3%	86.7%	90.3%	97.5%	97.1%	98%
57	89.1%	87.7%	90.9%	97.7%	97.3%	98.1%
56	89.9%	88.5%	91.5%	97.9%	97.6%	98.2%
55	90.5%	89.3%	92%	98%	97.8%	98.3%
54	91.1%	90%	92.4%	98.2%	97.9%	98.4%
53	91.6%	90.6%	92.9%	98.3%	98.1%	98.5%
52	92.1%	91.2%	93.2%	98.4%	98.2%	98.6%
51	92.6%	91.7%	93.6%	98.5%	98.3%	98.7%
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%	98.7%	98.6%	98.8%
47	94%	93.3%	94.8%	98.8%	98.7%	98.9%
46	94.3%	93.7%	95.1%	98.9%	98.8%	98.9%
45	94.6%	93.9%	95.3%	98.9%	98.8%	99%
44	94.8%	94.2%	95.5%	99%	98.9%	99%
43	95%	94.4%	95.7%	99%	98.9%	99.1%
42	95.2%	94.6%	95.8%	99%	99%	99.1%
41	95.4%	94.8%	96%	99.1%	99%	99.1%
40	95.5%	95%	96.1%	99.1%	99%	99.2%
39	95.7%	95.1%	96.3%	99.1%	99.1%	99.2%
38	95.8%	95.3%	96.4%	99.1%	99.1%	99.2%
37	95.9%	95.4%	96.5%	99.2%	99.1%	99.2%
36	96.1%	95.5%	96.6%	99.2%	99.1%	99.2%
35	96.2%	95.7%	96.7%	99.2%	99.2%	99.3%
34	96.3%	95.8%	96.8%	99.2%	99.2%	99.3%
33	96.4%	95.9%	96.9%	99.3%	99.2%	99.3%
32	96.5%	96%	97%	99.3%	99.2%	99.3%
31	96.6%	96.1%	97.1%	99.3%	99.2%	99.3%
30	96.7%	96.2%	97.2%	99.3%	99.3%	99.4%
29	96.8%	96.3%	97.3%	99.3%	99.3%	99.4%
28	96.8%	96.4%	97.3%	99.3%	99.3%	99.4%
27	96.9%	96.5%	97.4%	99.4%	99.3%	99.4%
26	97%	96.6%	97.5%	99.4%	99.3%	99.4%
25	97.1%	96.7%	97.5%	99.4%	99.3%	99.4%
24	97.2%	96.8%	97.6%	99.4%	99.4%	99.4%
23	97.2%	96.8%	97.7%	99.4%	99.4%	99.4%
22	97.3%	96.9%	97.7%	99.4%	99.4%	99.5%
21	97.4%	97%	97.8%	99.4%	99.4%	99.5%
20	97.5%	97.1%	97.8%	99.5%	99.4%	99.5%
19	97.5%	97.2%	97.9%	99.5%	99.4%	99.5%
18	97.6%	97.3%	97.9%	99.5%	99.5%	99.5%
17	97.6%	97.4%	97.9%	99.5%	99.5%	99.5%
16	97.7%	97.4%	98%	99.5%	99.5%	99.5%
15	97.7%	97.5%	98%	99.5%	99.5%	99.5%
14	97.8%	97.5%	98%	99.5%	99.5%	99.5%
13	97.8%	97.5%	98.1%	99.5%	99.5%	99.5%
12	97.8%	97.6%	98.1%	99.5%	99.5%	99.5%
11	97.9%	97.6%	98.1%	99.5%	99.5%	99.5%
10	97.9%	97.6%	98.1%	99.5%	99.5%	99.5%
9	97.9%	97.7%	98.2%	99.5%	99.5%	99.6%
8	97.9%	97.7%	98.2%	99.5%	99.5%	99.6%
7	98%	97.7%	98.2%	99.6%	99.5%	99.6%
6	98%	97.8%	98.2%	99.6%	99.6%	99.6%
5	98.1%	97.8%	98.3%	99.6%	99.6%	99.6%
4	98.1%	97.9%	98.3%	99.6%	99.6%	99.6%
3	98.2%	98%	98.4%	99.6%	99.6%	99.6%
2	98.2%	98%	98.5%	99.6%	99.6%	99.6%
1	98.3%	98.1%	98.6%	99.6%	99.6%	99.6%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 97.1% in Monaco are expected to live past 60, 71.5% and 92.7% past 70, 41.4% and 78.7% past 80, and only 8.69% and 44.5% 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

Monaco

Male

Female

1x

Age	Probability of dying
	Bhutan			Monaco
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	23.4%	28.5%	20.9%
99	39.6%	42.2%	38%	21.9%	26.7%	19.5%
98	37.6%	40.3%	36%	20.2%	24.7%	17.8%
97	35.6%	38.3%	34%	18.6%	22.7%	16.2%
96	33.7%	36.3%	32%	17%	20.9%	14.7%
95	31.7%	34.3%	30%	15.6%	19.1%	13.4%
94	29.8%	32.3%	28.1%	14.2%	17.4%	12.1%
93	27.9%	30.3%	26.3%	12.9%	15.8%	10.9%
92	26.1%	28.4%	24.4%	11.7%	14.4%	9.85%
91	24.2%	26.5%	22.6%	10.6%	13%	8.83%
90	22.5%	24.6%	20.8%	9.55%	11.7%	7.9%
89	20.7%	22.8%	19.1%	8.61%	10.5%	7.06%
88	19.1%	21.1%	17.5%	7.77%	9.46%	6.32%
87	17.6%	19.4%	16%	6.98%	8.5%	5.66%
86	16.1%	17.8%	14.7%	6.28%	7.62%	5.08%
85	14.7%	16.2%	13.4%	5.63%	6.83%	4.55%
84	13.4%	14.8%	12.2%	5.04%	6.1%	4.07%
83	12.2%	13.4%	11.1%	4.49%	5.43%	3.62%
82	11%	12.2%	9.98%	3.97%	4.82%	3.19%
81	9.96%	11.1%	8.96%	3.49%	4.26%	2.79%
80	8.98%	10%	8.02%	3.07%	3.75%	2.42%
79	8.09%	9.09%	7.15%	2.69%	3.31%	2.09%
78	7.28%	8.24%	6.37%	2.36%	2.91%	1.8%
77	6.56%	7.47%	5.67%	2.07%	2.58%	1.56%
76	5.91%	6.78%	5.06%	1.83%	2.28%	1.35%
75	5.33%	6.15%	4.52%	1.62%	2.03%	1.18%
74	4.82%	5.59%	4.05%	1.43%	1.81%	1.03%
73	4.35%	5.07%	3.63%	1.27%	1.62%	0.91%
72	3.92%	4.61%	3.25%	1.12%	1.44%	0.8%
71	3.54%	4.18%	2.91%	0.99%	1.29%	0.7%
70	3.19%	3.79%	2.6%	0.88%	1.14%	0.61%
69	2.88%	3.44%	2.32%	0.78%	1.01%	0.53%
68	2.6%	3.11%	2.07%	0.68%	0.89%	0.46%
67	2.34%	2.82%	1.84%	0.59%	0.78%	0.4%
66	2.11%	2.55%	1.64%	0.52%	0.69%	0.35%
65	1.9%	2.31%	1.46%	0.45%	0.6%	0.3%
64	1.71%	2.09%	1.31%	0.4%	0.53%	0.26%
63	1.55%	1.9%	1.17%	0.35%	0.47%	0.23%
62	1.41%	1.73%	1.06%	0.31%	0.43%	0.2%
61	1.29%	1.58%	0.96%	0.28%	0.38%	0.18%
60	1.17%	1.44%	0.87%	0.26%	0.35%	0.17%
59	1.07%	1.31%	0.79%	0.23%	0.32%	0.15%
58	0.97%	1.19%	0.72%	0.21%	0.29%	0.14%
57	0.88%	1.08%	0.66%	0.19%	0.26%	0.13%
56	0.8%	0.97%	0.6%	0.17%	0.23%	0.12%
55	0.72%	0.87%	0.55%	0.15%	0.2%	0.11%
54	0.65%	0.78%	0.5%	0.13%	0.18%	0.1%
53	0.59%	0.7%	0.46%	0.12%	0.15%	0.09%
52	0.54%	0.63%	0.42%	0.11%	0.14%	0.08%
51	0.49%	0.56%	0.39%	0.1%	0.12%	0.07%
50	0.44%	0.51%	0.36%	0.09%	0.11%	0.07%
49	0.4%	0.46%	0.33%	0.08%	0.1%	0.06%
48	0.37%	0.42%	0.3%	0.07%	0.09%	0.06%
47	0.33%	0.38%	0.28%	0.06%	0.08%	0.05%
46	0.3%	0.34%	0.25%	0.06%	0.07%	0.05%
45	0.27%	0.3%	0.23%	0.05%	0.06%	0.04%
44	0.24%	0.27%	0.21%	0.05%	0.05%	0.04%
43	0.22%	0.24%	0.19%	0.04%	0.05%	0.04%
42	0.2%	0.22%	0.18%	0.04%	0.04%	0.03%
41	0.18%	0.2%	0.16%	0.03%	0.04%	0.03%
40	0.17%	0.18%	0.15%	0.03%	0.03%	0.03%
39	0.15%	0.16%	0.14%	0.03%	0.03%	0.03%
38	0.14%	0.15%	0.13%	0.03%	0.03%	0.02%
37	0.13%	0.14%	0.12%	0.02%	0.03%	0.02%
36	0.12%	0.13%	0.11%	0.02%	0.02%	0.02%
35	0.12%	0.13%	0.11%	0.02%	0.02%	0.02%
34	0.11%	0.12%	0.1%	0.02%	0.02%	0.02%
33	0.11%	0.11%	0.1%	0.02%	0.02%	0.02%
32	0.1%	0.11%	0.09%	0.02%	0.02%	0.02%
31	0.1%	0.1%	0.09%	0.02%	0.02%	0.02%
30	0.09%	0.1%	0.08%	0.02%	0.02%	0.02%
29	0.09%	0.1%	0.08%	0.02%	0.02%	0.02%
28	0.09%	0.1%	0.08%	0.02%	0.02%	0.01%
27	0.08%	0.1%	0.07%	0.02%	0.02%	0.01%
26	0.08%	0.1%	0.07%	0.02%	0.02%	0.01%
25	0.08%	0.1%	0.07%	0.02%	0.02%	0.01%
24	0.08%	0.1%	0.06%	0.02%	0.02%	0.01%
23	0.08%	0.1%	0.06%	0.02%	0.02%	0.01%
22	0.08%	0.1%	0.06%	0.01%	0.02%	0.01%
21	0.08%	0.1%	0.06%	0.01%	0.02%	0.01%
20	0.07%	0.09%	0.05%	0.01%	0.02%	0.01%
19	0.07%	0.09%	0.05%	0.01%	0.02%	0.01%
18	0.06%	0.08%	0.05%	0.01%	0.01%	0.009%
17	0.06%	0.07%	0.04%	0.01%	0.01%	0.008%
16	0.05%	0.06%	0.04%	0.009%	0.01%	0.007%
15	0.04%	0.05%	0.03%	0.008%	0.009%	0.006%
14	0.04%	0.04%	0.03%	0.007%	0.008%	0.006%
13	0.03%	0.04%	0.03%	0.006%	0.007%	0.005%
12	0.03%	0.03%	0.02%	0.005%	0.006%	0.005%
11	0.03%	0.03%	0.02%	0.005%	0.006%	0.005%
10	0.03%	0.03%	0.02%	0.005%	0.006%	0.005%
9	0.03%	0.03%	0.02%	0.006%	0.006%	0.005%
8	0.03%	0.04%	0.02%	0.006%	0.007%	0.005%
7	0.03%	0.04%	0.03%	0.007%	0.007%	0.006%
6	0.04%	0.04%	0.03%	0.008%	0.008%	0.007%
5	0.05%	0.05%	0.04%	0.009%	0.009%	0.009%
4	0.05%	0.06%	0.05%	0.01%	0.01%	0.01%
3	0.07%	0.07%	0.06%	0.01%	0.01%	0.01%
2	0.08%	0.08%	0.08%	0.02%	0.01%	0.02%
1	0.1%	0.1%	0.1%	0.02%	0.01%	0.03%
0	1.66%	1.86%	1.44%	0.37%	0.39%	0.35%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.37% in Monaco, 0.09% vs 0.02% at age 30, 1.17% vs 0.26% at 60, and 8.98% vs 3.07% at 80.

Death rate by age in Bhutan vs Monaco

Chart Table

Bhutan

Male

Female

Monaco

Male

Female

1x

Age	Death rate
	Bhutan			Monaco
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	2,061	1,279	2,888
99	137.5	76.2	220.6	2,366	1,666	3,112
98	209.6	121.7	326	2,737	2,047	3,458
97	309	187.5	467	3,088	2,442	3,761
96	439	278.9	647	3,410	2,834	4,012
95	606	401	868	3,692	3,205	4,204
94	811	558	1,131	3,925	3,540	4,333
93	1,054	753	1,431	4,101	3,824	4,393
92	1,331	984	1,759	4,209	4,045	4,384
91	1,633	1,249	2,102	4,255	4,200	4,311
90	1,952	1,541	2,447	4,245	4,288	4,187
89	2,275	1,849	2,779	4,188	4,314	4,027
88	2,591	2,162	3,089	4,096	4,284	3,846
87	2,886	2,466	3,368	3,958	4,205	3,654
86	3,150	2,749	3,608	3,797	4,083	3,454
85	3,375	2,998	3,803	3,611	3,925	3,245
84	3,551	3,206	3,943	3,402	3,735	3,024
83	3,674	3,367	4,022	3,174	3,516	2,787
82	3,741	3,482	4,033	2,921	3,276	2,537
81	3,754	3,550	3,979	2,665	3,024	2,281
80	3,718	3,576	3,867	2,413	2,769	2,028
79	3,643	3,564	3,714	2,173	2,523	1,789
78	3,536	3,521	3,533	1,954	2,291	1,573
77	3,409	3,451	3,336	1,753	2,079	1,381
76	3,267	3,358	3,135	1,575	1,886	1,215
75	3,113	3,248	2,935	1,418	1,713	1,072
74	2,953	3,125	2,738	1,271	1,556	948
73	2,787	2,990	2,545	1,140	1,412	840
72	2,618	2,846	2,356	1,024	1,279	744
71	2,449	2,696	2,171	914	1,154	658
70	2,281	2,541	1,992	815	1,038	580
69	2,119	2,386	1,820	725	928	509
68	1,961	2,230	1,657	639	826	444
67	1,809	2,077	1,503	561	731	385
66	1,664	1,929	1,361	491	646	334
65	1,528	1,788	1,231	431	571	289.1
64	1,404	1,656	1,115	381	506	251.9
63	1,293	1,534	1,012	338	452	221.7
62	1,193	1,421	922	302	407	197.5
61	1,101	1,317	842	272.3	370	178.2
60	1,015	1,218	772	249.4	337	162.6
59	935	1,124	709	228.4	307	149.4
58	859	1,033	652	206.5	278.4	137.5
57	787	943	600	185.8	249.9	126.3
56	719	857	551	166.8	222	115.7
55	655	775	506	148.4	195.7	105.6
54	595	699	466	132.4	171.9	96.2
53	542	631	429	117.9	151.3	87.8
52	494	571	396	105.8	133.9	80.5
51	451	518	366	95.9	119.3	74
50	412	471	339	86.1	106.8	68.2
49	377	428	313	77.9	95.8	62.9
48	343	388	288.2	70.8	85.7	57.9
47	312	350	264.6	63.7	76.2	53
46	282.8	315	242	57.1	67.3	48.3
45	255.5	283.2	220.8	50.9	59.2	43.9
44	230.7	254	201.4	45.5	51.9	39.8
43	208.8	228.2	184.2	40.8	45.7	36.2
42	189.6	205.7	169.1	36.7	40.4	33.1
41	173.2	186.5	156.2	33.3	36.1	30.5
40	159.2	170.2	145	30.4	32.6	28.2
39	147.1	156.5	135.1	28	29.7	26.3
38	136.8	144.9	126.3	26	27.3	24.6
37	127.7	135.2	118.3	24.2	25.3	23
36	119.9	126.9	110.9	22.6	23.5	21.6
35	113.1	119.9	104.2	21.2	22.1	20.3
34	107	113.8	98.1	20	20.8	19.1
33	101.7	108.5	92.7	18.9	19.7	18.1
32	97	103.9	88	18	18.7	17.1
31	93	100	83.9	17.2	18	16.3
30	89.5	96.8	80.2	16.6	17.4	15.7
29	86.6	94.4	76.9	16.1	17	15
28	84.2	92.9	73.9	15.7	16.8	14.5
27	82.4	92.3	70.9	15.4	16.8	13.9
26	81	92.6	68.1	15.3	17	13.4
25	80.1	93.6	65.3	15.1	17.3	12.9
24	79.3	94.7	62.5	15.1	17.6	12.5
23	78.5	95.7	59.9	15	17.9	11.9
22	77.4	95.9	57.3	14.8	18.1	11.4
21	75.5	94.7	54.6	14.5	17.9	10.9
20	72.4	91.5	51.6	13.9	17.4	10.2
19	67.8	85.7	48.2	13	16.3	9.55
18	61.8	77.7	44.2	11.8	14.7	8.77
17	54.7	68	39.9	10.4	12.8	7.94
16	47.4	58.1	35.5	9.02	10.9	7.11
15	40.6	49	31.3	7.74	9.1	6.34
14	34.9	41.5	27.7	6.68	7.66	5.68
13	30.7	36	24.8	5.91	6.64	5.17
12	27.9	32.5	22.8	5.42	6.01	4.83
11	26.4	30.8	21.6	5.2	5.75	4.65
10	26.2	30.6	21.3	5.23	5.78	4.66
9	27.2	31.9	22	5.5	6.09	4.88
8	29.2	34.5	23.7	5.99	6.63	5.33
7	32.7	38.4	26.7	6.73	7.36	6.09
6	37.6	43.7	31.2	7.75	8.24	7.23
5	44.3	50.3	37.9	9.08	9.24	8.91
4	53	58.5	47.2	10.8	10.3	11.3
3	64.3	68.3	60	13	11.5	14.6
2	78.6	80.1	77.1	15.9	12.9	19.1
1	96.8	94	99.8	19.6	14.3	25.2
0	1,655	1,861	1,440	368	386	350

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 Monaco. The median age of death is 77.6 in Bhutan and 88.7 in Monaco, 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 Monaco more than their death rates.

Life expectancy in other countries

+ -

1x