Life Expectancy in Bhutan vs Denmark (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Denmark

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Denmark
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.1	101.8	102.2
99	100.9	100.8	101	101.2	100.9	101.3
98	100	99.9	100.1	100.4	100.1	100.5
97	99.1	99	99.2	99.6	99.2	99.7
96	98.2	98.1	98.3	98.8	98.4	98.9
95	97.4	97.2	97.5	98	97.6	98.1
94	96.5	96.3	96.6	97.2	96.8	97.4
93	95.7	95.5	95.8	96.5	96	96.7
92	94.8	94.6	95	95.8	95.3	96
91	94	93.8	94.2	95.1	94.6	95.4
90	93.2	93	93.4	94.4	93.9	94.7
89	92.5	92.2	92.7	93.8	93.2	94.2
88	91.7	91.4	92	93.2	92.6	93.6
87	91	90.7	91.2	92.6	92	93.1
86	90.3	89.9	90.5	92.1	91.4	92.5
85	89.6	89.2	89.9	91.6	90.9	92.1
84	88.9	88.5	89.2	91.1	90.3	91.6
83	88.2	87.8	88.6	90.6	89.8	91.2
82	87.6	87.2	88	90.2	89.4	90.8
81	87	86.6	87.4	89.7	88.9	90.4
80	86.4	85.9	86.8	89.4	88.5	90
79	85.8	85.4	86.3	89	88.1	89.7
78	85.3	84.8	85.8	88.7	87.7	89.4
77	84.8	84.2	85.3	88.3	87.4	89.1
76	84.3	83.7	84.9	88	87.1	88.8
75	83.8	83.2	84.5	87.7	86.7	88.6
74	83.4	82.7	84.1	87.4	86.4	88.3
73	83	82.3	83.7	87.2	86.1	88.1
72	82.5	81.8	83.3	86.9	85.8	87.9
71	82.2	81.4	83	86.7	85.6	87.7
70	81.8	81	82.7	86.4	85.3	87.5
69	81.4	80.6	82.4	86.2	85	87.3
68	81.1	80.2	82.1	86	84.8	87.1
67	80.8	79.8	81.8	85.8	84.5	87
66	80.5	79.5	81.5	85.6	84.3	86.8
65	80.2	79.2	81.3	85.4	84.1	86.6
64	79.9	78.9	81.1	85.2	83.9	86.5
63	79.7	78.6	80.9	85	83.7	86.3
62	79.4	78.3	80.7	84.8	83.5	86.2
61	79.2	78	80.5	84.7	83.3	86
60	79	77.8	80.3	84.5	83.1	85.9
59	78.8	77.5	80.2	84.4	82.9	85.8
58	78.6	77.3	80	84.3	82.8	85.7
57	78.4	77.1	79.9	84.1	82.6	85.6
56	78.2	76.9	79.7	84	82.5	85.5
55	78	76.7	79.6	83.9	82.4	85.4
54	77.9	76.5	79.5	83.8	82.3	85.3
53	77.7	76.4	79.3	83.7	82.2	85.3
52	77.6	76.2	79.2	83.6	82.1	85.2
51	77.5	76.1	79.1	83.6	82	85.1
50	77.4	76	79	83.5	81.9	85.1
49	77.3	75.8	78.9	83.4	81.8	85
48	77.1	75.7	78.8	83.4	81.8	85
47	77	75.6	78.7	83.3	81.7	84.9
46	77	75.5	78.7	83.3	81.6	84.9
45	76.9	75.4	78.6	83.2	81.6	84.9
44	76.8	75.3	78.5	83.2	81.5	84.8
43	76.7	75.3	78.4	83.2	81.5	84.8
42	76.7	75.2	78.4	83.1	81.5	84.8
41	76.6	75.1	78.3	83.1	81.4	84.8
40	76.5	75.1	78.3	83.1	81.4	84.7
39	76.5	75	78.2	83	81.4	84.7
38	76.4	75	78.2	83	81.3	84.7
37	76.4	74.9	78.1	83	81.3	84.7
36	76.3	74.9	78.1	83	81.3	84.7
35	76.3	74.8	78	83	81.2	84.6
34	76.2	74.8	78	82.9	81.2	84.6
33	76.2	74.7	77.9	82.9	81.2	84.6
32	76.1	74.7	77.9	82.9	81.2	84.6
31	76.1	74.6	77.8	82.9	81.2	84.6
30	76	74.6	77.8	82.9	81.1	84.6
29	76	74.5	77.8	82.8	81.1	84.6
28	76	74.5	77.7	82.8	81.1	84.6
27	75.9	74.4	77.7	82.8	81.1	84.5
26	75.9	74.4	77.7	82.8	81.1	84.5
25	75.8	74.3	77.6	82.8	81	84.5
24	75.8	74.3	77.6	82.8	81	84.5
23	75.8	74.2	77.6	82.8	81	84.5
22	75.7	74.2	77.5	82.7	81	84.5
21	75.7	74.1	77.5	82.7	81	84.5
20	75.6	74.1	77.5	82.7	80.9	84.5
19	75.6	74	77.4	82.7	80.9	84.5
18	75.6	74	77.4	82.7	80.9	84.5
17	75.5	74	77.4	82.7	80.9	84.5
16	75.5	73.9	77.4	82.7	80.9	84.5
15	75.5	73.9	77.3	82.7	80.9	84.5
14	75.4	73.9	77.3	82.7	80.9	84.5
13	75.4	73.9	77.3	82.7	80.9	84.5
12	75.4	73.8	77.3	82.7	80.9	84.4
11	75.4	73.8	77.3	82.7	80.9	84.4
10	75.4	73.8	77.3	82.7	80.9	84.4
9	75.4	73.8	77.2	82.7	80.9	84.4
8	75.3	73.7	77.2	82.7	80.9	84.4
7	75.3	73.7	77.2	82.7	80.9	84.4
6	75.3	73.7	77.2	82.7	80.9	84.4
5	75.3	73.7	77.2	82.6	80.9	84.4
4	75.2	73.6	77.1	82.6	80.8	84.4
3	75.2	73.6	77.1	82.6	80.8	84.4
2	75.1	73.5	77	82.6	80.8	84.4
1	75	73.4	76.9	82.6	80.8	84.4
0	73.8	72.1	75.8	82.4	80.6	84.2

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 82.9 in Denmark, rising to 80.2 and 85.4 at 65, and to 86.4 and 89.4 at 80 — higher than the 73.8 and 82.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Denmark

Male

Female

1x

Age	Survival probability
	Bhutan			Denmark
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	2.06%	0.96%	3.02%
99	0.35%	0.18%	0.58%	3.07%	1.54%	4.43%
98	0.56%	0.3%	0.91%	4.43%	2.39%	6.26%
97	0.87%	0.49%	1.37%	6.18%	3.55%	8.57%
96	1.31%	0.77%	2.02%	8.36%	5.1%	11.4%
95	1.91%	1.17%	2.89%	11%	7.08%	14.6%
94	2.72%	1.73%	4.02%	14%	9.51%	18.3%
93	3.78%	2.48%	5.45%	17.5%	12.4%	22.4%
92	5.11%	3.46%	7.21%	21.3%	15.7%	26.7%
91	6.74%	4.71%	9.31%	25.3%	19.4%	31.2%
90	8.69%	6.25%	11.8%	29.6%	23.3%	35.7%
89	11%	8.1%	14.5%	33.9%	27.4%	40.3%
88	13.6%	10.3%	17.6%	38.2%	31.7%	44.7%
87	16.4%	12.7%	21%	42.5%	36%	49.1%
86	19.6%	15.5%	24.6%	46.7%	40.2%	53.2%
85	23%	18.5%	28.4%	50.7%	44.3%	57.2%
84	26.5%	21.7%	32.3%	54.5%	48.2%	60.8%
83	30.2%	25.1%	36.4%	58.1%	52%	64.3%
82	33.9%	28.5%	40.4%	61.5%	55.6%	67.4%
81	37.7%	32.1%	44.4%	64.6%	58.9%	70.3%
80	41.4%	35.7%	48.3%	67.4%	62%	72.9%
79	45%	39.2%	52%	70%	64.8%	75.2%
78	48.6%	42.7%	55.5%	72.3%	67.4%	77.3%
77	52%	46.2%	58.8%	74.5%	69.8%	79.2%
76	55.3%	49.6%	62%	76.5%	72.1%	81%
75	58.4%	52.8%	64.9%	78.3%	74.2%	82.5%
74	61.3%	55.9%	67.6%	80%	76.1%	84%
73	64.1%	58.9%	70.2%	81.6%	77.9%	85.3%
72	66.7%	61.8%	72.5%	83%	79.6%	86.5%
71	69.2%	64.5%	74.7%	84.4%	81.1%	87.6%
70	71.5%	67%	76.7%	85.6%	82.6%	88.6%
69	73.6%	69.4%	78.5%	86.7%	84%	89.6%
68	75.5%	71.6%	80.2%	87.8%	85.3%	90.4%
67	77.4%	73.7%	81.7%	88.8%	86.5%	91.3%
66	79%	75.6%	83%	89.8%	87.6%	92%
65	80.5%	77.4%	84.3%	90.7%	88.7%	92.7%
64	81.9%	79.1%	85.4%	91.5%	89.7%	93.4%
63	83.2%	80.6%	86.4%	92.3%	90.6%	94%
62	84.4%	82%	87.3%	93%	91.5%	94.6%
61	85.5%	83.3%	88.2%	93.7%	92.2%	95.1%
60	86.6%	84.6%	88.9%	94.3%	93%	95.6%
59	87.5%	85.7%	89.6%	94.8%	93.6%	96%
58	88.3%	86.7%	90.3%	95.3%	94.2%	96.4%
57	89.1%	87.7%	90.9%	95.7%	94.8%	96.7%
56	89.9%	88.5%	91.5%	96.1%	95.2%	97%
55	90.5%	89.3%	92%	96.5%	95.7%	97.3%
54	91.1%	90%	92.4%	96.8%	96%	97.6%
53	91.6%	90.6%	92.9%	97.1%	96.4%	97.8%
52	92.1%	91.2%	93.2%	97.3%	96.7%	98%
51	92.6%	91.7%	93.6%	97.6%	97%	98.2%
50	93%	92.2%	94%	97.8%	97.2%	98.3%
49	93.4%	92.6%	94.3%	97.9%	97.4%	98.5%
48	93.7%	93%	94.6%	98.1%	97.6%	98.6%
47	94%	93.3%	94.8%	98.2%	97.8%	98.7%
46	94.3%	93.7%	95.1%	98.4%	98%	98.8%
45	94.6%	93.9%	95.3%	98.5%	98.1%	98.9%
44	94.8%	94.2%	95.5%	98.6%	98.2%	98.9%
43	95%	94.4%	95.7%	98.7%	98.3%	99%
42	95.2%	94.6%	95.8%	98.7%	98.4%	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%	98.8%	99.3%
37	95.9%	95.4%	96.5%	99.1%	98.8%	99.3%
36	96.1%	95.5%	96.6%	99.1%	98.9%	99.3%
35	96.2%	95.7%	96.7%	99.1%	98.9%	99.4%
34	96.3%	95.8%	96.8%	99.2%	99%	99.4%
33	96.4%	95.9%	96.9%	99.2%	99%	99.4%
32	96.5%	96%	97%	99.3%	99.1%	99.4%
31	96.6%	96.1%	97.1%	99.3%	99.1%	99.5%
30	96.7%	96.2%	97.2%	99.3%	99.2%	99.5%
29	96.8%	96.3%	97.3%	99.4%	99.2%	99.5%
28	96.8%	96.4%	97.3%	99.4%	99.2%	99.5%
27	96.9%	96.5%	97.4%	99.4%	99.3%	99.5%
26	97%	96.6%	97.5%	99.4%	99.3%	99.6%
25	97.1%	96.7%	97.5%	99.5%	99.4%	99.6%
24	97.2%	96.8%	97.6%	99.5%	99.4%	99.6%
23	97.2%	96.8%	97.7%	99.5%	99.4%	99.6%
22	97.3%	96.9%	97.7%	99.5%	99.5%	99.6%
21	97.4%	97%	97.8%	99.6%	99.5%	99.6%
20	97.5%	97.1%	97.8%	99.6%	99.5%	99.6%
19	97.5%	97.2%	97.9%	99.6%	99.5%	99.6%
18	97.6%	97.3%	97.9%	99.6%	99.6%	99.7%
17	97.6%	97.4%	97.9%	99.6%	99.6%	99.7%
16	97.7%	97.4%	98%	99.6%	99.6%	99.7%
15	97.7%	97.5%	98%	99.6%	99.6%	99.7%
14	97.8%	97.5%	98%	99.6%	99.6%	99.7%
13	97.8%	97.5%	98.1%	99.7%	99.6%	99.7%
12	97.8%	97.6%	98.1%	99.7%	99.6%	99.7%
11	97.9%	97.6%	98.1%	99.7%	99.6%	99.7%
10	97.9%	97.6%	98.1%	99.7%	99.6%	99.7%
9	97.9%	97.7%	98.2%	99.7%	99.6%	99.7%
8	97.9%	97.7%	98.2%	99.7%	99.6%	99.7%
7	98%	97.7%	98.2%	99.7%	99.6%	99.7%
6	98%	97.8%	98.2%	99.7%	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%	99.7%	99.7%
3	98.2%	98%	98.4%	99.7%	99.7%	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%	99.8%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 94.3% in Denmark are expected to live past 60, 71.5% and 85.6% past 70, 41.4% and 67.4% past 80, and only 8.69% and 29.6% 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

Denmark

Male

Female

1x

Age	Probability of dying
	Bhutan			Denmark
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	35.2%	40.3%	34%
99	39.6%	42.2%	38%	33%	37.8%	31.7%
98	37.6%	40.3%	36%	30.6%	35.3%	29.3%
97	35.6%	38.3%	34%	28.3%	32.8%	26.9%
96	33.7%	36.3%	32%	26.1%	30.4%	24.6%
95	31.7%	34.3%	30%	23.9%	27.9%	22.3%
94	29.8%	32.3%	28.1%	21.8%	25.6%	20.2%
93	27.9%	30.3%	26.3%	19.8%	23.3%	18.1%
92	26.1%	28.4%	24.4%	17.8%	21%	16.1%
91	24.2%	26.5%	22.6%	16%	18.9%	14.4%
90	22.5%	24.6%	20.8%	14.3%	16.9%	12.8%
89	20.7%	22.8%	19.1%	12.7%	15.1%	11.3%
88	19.1%	21.1%	17.5%	11.4%	13.4%	9.99%
87	17.6%	19.4%	16%	10.1%	11.9%	8.83%
86	16.1%	17.8%	14.7%	8.92%	10.5%	7.79%
85	14.7%	16.2%	13.4%	7.91%	9.28%	6.88%
84	13.4%	14.8%	12.2%	7%	8.2%	6.06%
83	12.2%	13.4%	11.1%	6.18%	7.25%	5.33%
82	11%	12.2%	9.98%	5.44%	6.4%	4.67%
81	9.96%	11.1%	8.96%	4.79%	5.65%	4.08%
80	8.98%	10%	8.02%	4.21%	4.96%	3.55%
79	8.09%	9.09%	7.15%	3.69%	4.37%	3.1%
78	7.28%	8.24%	6.37%	3.26%	3.87%	2.73%
77	6.56%	7.47%	5.67%	2.89%	3.45%	2.41%
76	5.91%	6.78%	5.06%	2.6%	3.11%	2.14%
75	5.33%	6.15%	4.52%	2.35%	2.82%	1.92%
74	4.82%	5.59%	4.05%	2.12%	2.56%	1.73%
73	4.35%	5.07%	3.63%	1.92%	2.32%	1.55%
72	3.92%	4.61%	3.25%	1.74%	2.11%	1.4%
71	3.54%	4.18%	2.91%	1.58%	1.92%	1.26%
70	3.19%	3.79%	2.6%	1.44%	1.76%	1.14%
69	2.88%	3.44%	2.32%	1.33%	1.63%	1.04%
68	2.6%	3.11%	2.07%	1.23%	1.51%	0.96%
67	2.34%	2.82%	1.84%	1.14%	1.4%	0.9%
66	2.11%	2.55%	1.64%	1.06%	1.3%	0.83%
65	1.9%	2.31%	1.46%	0.98%	1.2%	0.77%
64	1.71%	2.09%	1.31%	0.91%	1.11%	0.71%
63	1.55%	1.9%	1.17%	0.84%	1.02%	0.65%
62	1.41%	1.73%	1.06%	0.77%	0.94%	0.6%
61	1.29%	1.58%	0.96%	0.7%	0.86%	0.54%
60	1.17%	1.44%	0.87%	0.63%	0.78%	0.49%
59	1.07%	1.31%	0.79%	0.57%	0.7%	0.44%
58	0.97%	1.19%	0.72%	0.51%	0.63%	0.39%
57	0.88%	1.08%	0.66%	0.46%	0.57%	0.35%
56	0.8%	0.97%	0.6%	0.41%	0.51%	0.32%
55	0.72%	0.87%	0.55%	0.37%	0.44%	0.29%
54	0.65%	0.78%	0.5%	0.33%	0.39%	0.26%
53	0.59%	0.7%	0.46%	0.29%	0.35%	0.23%
52	0.54%	0.63%	0.42%	0.26%	0.31%	0.21%
51	0.49%	0.56%	0.39%	0.23%	0.28%	0.18%
50	0.44%	0.51%	0.36%	0.21%	0.26%	0.16%
49	0.4%	0.46%	0.33%	0.19%	0.23%	0.14%
48	0.37%	0.42%	0.3%	0.17%	0.21%	0.12%
47	0.33%	0.38%	0.28%	0.15%	0.18%	0.11%
46	0.3%	0.34%	0.25%	0.13%	0.16%	0.1%
45	0.27%	0.3%	0.23%	0.11%	0.14%	0.08%
44	0.24%	0.27%	0.21%	0.1%	0.12%	0.08%
43	0.22%	0.24%	0.19%	0.09%	0.11%	0.07%
42	0.2%	0.22%	0.18%	0.08%	0.1%	0.06%
41	0.18%	0.2%	0.16%	0.07%	0.09%	0.06%
40	0.17%	0.18%	0.15%	0.07%	0.08%	0.05%
39	0.15%	0.16%	0.14%	0.06%	0.08%	0.05%
38	0.14%	0.15%	0.13%	0.06%	0.07%	0.04%
37	0.13%	0.14%	0.12%	0.05%	0.06%	0.04%
36	0.12%	0.13%	0.11%	0.05%	0.06%	0.03%
35	0.12%	0.13%	0.11%	0.04%	0.06%	0.03%
34	0.11%	0.12%	0.1%	0.04%	0.05%	0.03%
33	0.11%	0.11%	0.1%	0.04%	0.05%	0.03%
32	0.1%	0.11%	0.09%	0.04%	0.05%	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%	0.02%
26	0.08%	0.1%	0.07%	0.03%	0.04%	0.01%
25	0.08%	0.1%	0.07%	0.02%	0.04%	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%	0.03%	0.01%
19	0.07%	0.09%	0.05%	0.02%	0.03%	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%	0.008%
15	0.04%	0.05%	0.03%	0.008%	0.009%	0.007%
14	0.04%	0.04%	0.03%	0.006%	0.007%	0.005%
13	0.03%	0.04%	0.03%	0.005%	0.005%	0.004%
12	0.03%	0.03%	0.02%	0.004%	0.005%	0.003%
11	0.03%	0.03%	0.02%	0.004%	0.005%	0.003%
10	0.03%	0.03%	0.02%	0.004%	0.004%	0.003%
9	0.03%	0.03%	0.02%	0.004%	0.004%	0.003%
8	0.03%	0.04%	0.02%	0.004%	0.004%	0.004%
7	0.03%	0.04%	0.03%	0.004%	0.004%	0.004%
6	0.04%	0.04%	0.03%	0.004%	0.004%	0.004%
5	0.05%	0.05%	0.04%	0.004%	0.004%	0.004%
4	0.05%	0.06%	0.05%	0.004%	0.005%	0.004%
3	0.07%	0.07%	0.06%	0.006%	0.007%	0.005%
2	0.08%	0.08%	0.08%	0.01%	0.01%	0.01%
1	0.1%	0.1%	0.1%	0.03%	0.03%	0.03%
0	1.66%	1.86%	1.44%	0.27%	0.29%	0.24%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.27% in Denmark, 0.09% vs 0.03% at age 30, 1.17% vs 0.63% at 60, and 8.98% vs 4.21% at 80.

Death rate by age in Bhutan vs Denmark

Chart Table

Bhutan

Male

Female

Denmark

Male

Female

1x

Age	Death rate
	Bhutan			Denmark
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	570	176.1	916
99	137.5	76.2	220.6	1,013	583	1,405
98	209.6	121.7	326	1,356	843	1,834
97	309	187.5	467	1,750	1,167	2,304
96	439	278.9	647	2,179	1,549	2,792
95	606	401	868	2,626	1,977	3,268
94	811	558	1,131	3,062	2,434	3,698
93	1,054	753	1,431	3,458	2,888	4,051
92	1,331	984	1,759	3,788	3,300	4,309
91	1,633	1,249	2,102	4,056	3,663	4,484
90	1,952	1,541	2,447	4,233	3,943	4,558
89	2,275	1,849	2,779	4,320	4,134	4,544
88	2,591	2,162	3,089	4,344	4,252	4,472
87	2,886	2,466	3,368	4,291	4,276	4,334
86	3,150	2,749	3,608	4,166	4,213	4,144
85	3,375	2,998	3,803	4,010	4,108	3,932
84	3,551	3,206	3,943	3,817	3,957	3,690
83	3,674	3,367	4,022	3,591	3,771	3,426
82	3,741	3,482	4,033	3,345	3,556	3,148
81	3,754	3,550	3,979	3,096	3,326	2,867
80	3,718	3,576	3,867	2,834	3,075	2,587
79	3,643	3,564	3,714	2,582	2,829	2,332
78	3,536	3,521	3,533	2,360	2,610	2,110
77	3,409	3,451	3,336	2,156	2,409	1,907
76	3,267	3,358	3,135	1,985	2,242	1,734
75	3,113	3,248	2,935	1,838	2,094	1,584
74	2,953	3,125	2,738	1,700	1,949	1,449
73	2,787	2,990	2,545	1,565	1,806	1,324
72	2,618	2,846	2,356	1,442	1,676	1,209
71	2,449	2,696	2,171	1,331	1,558	1,103
70	2,281	2,541	1,992	1,235	1,457	1,010
69	2,119	2,386	1,820	1,154	1,372	935
68	1,961	2,230	1,657	1,082	1,289	872
67	1,809	2,077	1,503	1,016	1,211	819
66	1,664	1,929	1,361	953	1,135	768
65	1,528	1,788	1,231	891	1,063	716
64	1,404	1,656	1,115	831	995	664
63	1,293	1,534	1,012	772	926	614
62	1,193	1,421	922	714	858	566
61	1,101	1,317	842	655	790	517
60	1,015	1,218	772	597	723	468
59	935	1,124	709	543	660	422
58	859	1,033	652	490	598	380
57	787	943	600	442	538	342
56	719	857	551	396	481	310
55	655	775	506	353	425	280.4
54	595	699	466	316	377	254
53	542	631	429	280.9	335	227
52	494	571	396	251.8	302	201.4
51	451	518	366	226.2	274.8	177.8
50	412	471	339	203.6	250.1	157
49	377	428	313	182.7	226.5	138.5
48	343	388	288.2	162.5	203	121.7
47	312	350	264.6	144.1	180.7	107.1
46	282.8	315	242	126.7	158.9	94.2
45	255.5	283.2	220.8	111.1	138.9	83.3
44	230.7	254	201.4	98.4	121.8	74.6
43	208.8	228.2	184.2	87.8	107.8	67.2
42	189.6	205.7	169.1	79.2	97.2	60.6
41	173.2	186.5	156.2	72.7	89.2	55.6
40	159.2	170.2	145	66.5	81.4	51.1
39	147.1	156.5	135.1	60.9	74.2	47
38	136.8	144.9	126.3	55.9	68.3	42.9
37	127.7	135.2	118.3	51.6	64	38.6
36	119.9	126.9	110.9	47.9	60.7	34.6
35	113.1	119.9	104.2	44.2	57.1	30.8
34	107	113.8	98.1	41	53.6	27.8
33	101.7	108.5	92.7	37.8	49.6	25.4
32	97	103.9	88	35.2	46.3	23.5
31	93	100	83.9	33	43.7	21.9
30	89.5	96.8	80.2	31.4	41.9	20.4
29	86.6	94.4	76.9	29.6	39.9	18.8
28	84.2	92.9	73.9	28.3	38.6	17.5
27	82.4	92.3	70.9	26.9	37.3	16.2
26	81	92.6	68.1	26	36.7	14.9
25	80.1	93.6	65.3	24.8	35.6	13.7
24	79.3	94.7	62.5	23.8	34.3	12.9
23	78.5	95.7	59.9	23.1	33.3	12.6
22	77.4	95.9	57.3	22.4	31.9	12.5
21	75.5	94.7	54.6	21.8	30.7	12.6
20	72.4	91.5	51.6	20.8	28.7	12.5
19	67.8	85.7	48.2	18.5	25	11.6
18	61.8	77.7	44.2	15.8	20.8	10.5
17	54.7	68	39.9	13.2	16.7	9.49
16	47.4	58.1	35.5	10.3	12.4	8.1
15	40.6	49	31.3	8.08	9.28	6.84
14	34.9	41.5	27.7	6.13	6.84	5.38
13	30.7	36	24.8	4.79	5.42	4.14
12	27.9	32.5	22.8	4.06	4.74	3.34
11	26.4	30.8	21.6	3.73	4.49	2.94
10	26.2	30.6	21.3	3.7	4.43	2.93
9	27.2	31.9	22	3.66	4.15	3.14
8	29.2	34.5	23.7	3.71	3.91	3.5
7	32.7	38.4	26.7	3.75	3.77	3.72
6	37.6	43.7	31.2	3.87	3.98	3.75
5	44.3	50.3	37.9	4.03	4.36	3.68
4	53	58.5	47.2	4.37	4.88	3.82
3	64.3	68.3	60	5.8	6.55	5.01
2	78.6	80.1	77.1	11.2	12.5	9.81
1	96.8	94	99.8	31	34.1	27.6
0	1,655	1,861	1,440	266.1	293.9	236.8

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 88 in Denmark. The median age of death is 77.6 in Bhutan and 85.2 in Denmark, 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 Denmark more than their death rates.

Life expectancy in other countries

+ -

1x