Life Expectancy in Bhutan vs South Korea (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

South Korea

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			South Korea
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.8	102.1	102.9
99	100.9	100.8	101	102	101.3	102.1
98	100	99.9	100.1	101.2	100.4	101.3
97	99.1	99	99.2	100.5	99.6	100.6
96	98.2	98.1	98.3	99.7	98.8	99.8
95	97.4	97.2	97.5	99	98	99.1
94	96.5	96.3	96.6	98.3	97.2	98.5
93	95.7	95.5	95.8	97.6	96.5	97.8
92	94.8	94.6	95	96.9	95.7	97.2
91	94	93.8	94.2	96.2	95	96.6
90	93.2	93	93.4	95.6	94.4	96
89	92.5	92.2	92.7	95	93.7	95.5
88	91.7	91.4	92	94.4	93.1	95
87	91	90.7	91.2	93.9	92.5	94.5
86	90.3	89.9	90.5	93.3	91.9	94
85	89.6	89.2	89.9	92.8	91.3	93.6
84	88.9	88.5	89.2	92.4	90.8	93.2
83	88.2	87.8	88.6	91.9	90.3	92.8
82	87.6	87.2	88	91.5	89.8	92.4
81	87	86.6	87.4	91.1	89.3	92.1
80	86.4	85.9	86.8	90.7	88.9	91.7
79	85.8	85.4	86.3	90.3	88.5	91.4
78	85.3	84.8	85.8	89.9	88.1	91.1
77	84.8	84.2	85.3	89.6	87.7	90.9
76	84.3	83.7	84.9	89.3	87.3	90.6
75	83.8	83.2	84.5	89	87	90.4
74	83.4	82.7	84.1	88.7	86.7	90.2
73	83	82.3	83.7	88.5	86.4	90
72	82.5	81.8	83.3	88.3	86.1	89.9
71	82.2	81.4	83	88	85.9	89.7
70	81.8	81	82.7	87.8	85.6	89.6
69	81.4	80.6	82.4	87.6	85.3	89.4
68	81.1	80.2	82.1	87.4	85.1	89.3
67	80.8	79.8	81.8	87.2	84.8	89.1
66	80.5	79.5	81.5	87	84.6	89
65	80.2	79.2	81.3	86.8	84.4	88.9
64	79.9	78.9	81.1	86.7	84.2	88.8
63	79.7	78.6	80.9	86.5	84	88.7
62	79.4	78.3	80.7	86.4	83.8	88.7
61	79.2	78	80.5	86.3	83.7	88.6
60	79	77.8	80.3	86.2	83.5	88.5
59	78.8	77.5	80.2	86.1	83.4	88.5
58	78.6	77.3	80	86	83.3	88.4
57	78.4	77.1	79.9	85.9	83.1	88.4
56	78.2	76.9	79.7	85.8	83	88.4
55	78	76.7	79.6	85.8	82.9	88.3
54	77.9	76.5	79.5	85.7	82.8	88.3
53	77.7	76.4	79.3	85.6	82.8	88.3
52	77.6	76.2	79.2	85.6	82.7	88.2
51	77.5	76.1	79.1	85.5	82.6	88.2
50	77.4	76	79	85.5	82.5	88.2
49	77.3	75.8	78.9	85.4	82.5	88.1
48	77.1	75.7	78.8	85.4	82.4	88.1
47	77	75.6	78.7	85.4	82.4	88.1
46	77	75.5	78.7	85.3	82.3	88.1
45	76.9	75.4	78.6	85.3	82.3	88.1
44	76.8	75.3	78.5	85.2	82.2	88
43	76.7	75.3	78.4	85.2	82.2	88
42	76.7	75.2	78.4	85.2	82.2	88
41	76.6	75.1	78.3	85.2	82.1	88
40	76.5	75.1	78.3	85.1	82.1	88
39	76.5	75	78.2	85.1	82.1	88
38	76.4	75	78.2	85.1	82.1	87.9
37	76.4	74.9	78.1	85.1	82	87.9
36	76.3	74.9	78.1	85.1	82	87.9
35	76.3	74.8	78	85.1	82	87.9
34	76.2	74.8	78	85	82	87.9
33	76.2	74.7	77.9	85	82	87.9
32	76.1	74.7	77.9	85	82	87.9
31	76.1	74.6	77.8	85	82	87.9
30	76	74.6	77.8	85	81.9	87.9
29	76	74.5	77.8	85	81.9	87.8
28	76	74.5	77.7	85	81.9	87.8
27	75.9	74.4	77.7	85	81.9	87.8
26	75.9	74.4	77.7	85	81.9	87.8
25	75.8	74.3	77.6	85	81.9	87.8
24	75.8	74.3	77.6	85	81.9	87.8
23	75.8	74.2	77.6	84.9	81.9	87.8
22	75.7	74.2	77.5	84.9	81.9	87.8
21	75.7	74.1	77.5	84.9	81.9	87.8
20	75.6	74.1	77.5	84.9	81.8	87.8
19	75.6	74	77.4	84.9	81.8	87.8
18	75.6	74	77.4	84.9	81.8	87.8
17	75.5	74	77.4	84.9	81.8	87.8
16	75.5	73.9	77.4	84.9	81.8	87.8
15	75.5	73.9	77.3	84.9	81.8	87.8
14	75.4	73.9	77.3	84.9	81.8	87.8
13	75.4	73.9	77.3	84.9	81.8	87.8
12	75.4	73.8	77.3	84.9	81.8	87.7
11	75.4	73.8	77.3	84.9	81.8	87.7
10	75.4	73.8	77.3	84.9	81.8	87.7
9	75.4	73.8	77.2	84.9	81.8	87.7
8	75.3	73.7	77.2	84.9	81.8	87.7
7	75.3	73.7	77.2	84.9	81.8	87.7
6	75.3	73.7	77.2	84.9	81.8	87.7
5	75.3	73.7	77.2	84.8	81.8	87.7
4	75.2	73.6	77.1	84.8	81.8	87.7
3	75.2	73.6	77.1	84.8	81.7	87.7
2	75.1	73.5	77	84.8	81.7	87.7
1	75	73.4	76.9	84.8	81.7	87.7
0	73.8	72.1	75.8	84.6	81.6	87.5

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 85 in South Korea, rising to 80.2 and 86.8 at 65, and to 86.4 and 90.7 at 80 — higher than the 73.8 and 84.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

South Korea

Male

Female

1x

Age	Survival probability
	Bhutan			South Korea
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	5.61%	1.7%	8.36%
99	0.35%	0.18%	0.58%	7.43%	2.54%	11%
98	0.56%	0.3%	0.91%	9.59%	3.68%	14%
97	0.87%	0.49%	1.37%	12.1%	5.15%	17.4%
96	1.31%	0.77%	2.02%	15%	6.99%	21.2%
95	1.91%	1.17%	2.89%	18.1%	9.22%	25.2%
94	2.72%	1.73%	4.02%	21.5%	11.8%	29.5%
93	3.78%	2.48%	5.45%	25.2%	14.8%	34%
92	5.11%	3.46%	7.21%	29.1%	18.2%	38.5%
91	6.74%	4.71%	9.31%	33%	21.7%	43%
90	8.69%	6.25%	11.8%	37.1%	25.6%	47.5%
89	11%	8.1%	14.5%	41.2%	29.5%	51.8%
88	13.6%	10.3%	17.6%	45.2%	33.6%	56%
87	16.4%	12.7%	21%	49.1%	37.6%	60%
86	19.6%	15.5%	24.6%	52.9%	41.7%	63.7%
85	23%	18.5%	28.4%	56.5%	45.6%	67.1%
84	26.5%	21.7%	32.3%	60%	49.4%	70.3%
83	30.2%	25.1%	36.4%	63.2%	53.1%	73.2%
82	33.9%	28.5%	40.4%	66.3%	56.7%	75.9%
81	37.7%	32.1%	44.4%	69.2%	60.1%	78.3%
80	41.4%	35.7%	48.3%	71.9%	63.3%	80.6%
79	45%	39.2%	52%	74.5%	66.4%	82.7%
78	48.6%	42.7%	55.5%	76.8%	69.2%	84.5%
77	52%	46.2%	58.8%	79%	71.8%	86.2%
76	55.3%	49.6%	62%	80.9%	74.2%	87.7%
75	58.4%	52.8%	64.9%	82.6%	76.4%	89%
74	61.3%	55.9%	67.6%	84.1%	78.3%	90.1%
73	64.1%	58.9%	70.2%	85.5%	80%	91.1%
72	66.7%	61.8%	72.5%	86.7%	81.6%	91.9%
71	69.2%	64.5%	74.7%	87.8%	83.1%	92.7%
70	71.5%	67%	76.7%	89%	84.6%	93.5%
69	73.6%	69.4%	78.5%	90%	86%	94.2%
68	75.5%	71.6%	80.2%	91%	87.3%	94.8%
67	77.4%	73.7%	81.7%	92%	88.6%	95.4%
66	79%	75.6%	83%	92.8%	89.8%	95.9%
65	80.5%	77.4%	84.3%	93.5%	90.8%	96.4%
64	81.9%	79.1%	85.4%	94.2%	91.7%	96.7%
63	83.2%	80.6%	86.4%	94.7%	92.5%	97%
62	84.4%	82%	87.3%	95.2%	93.3%	97.3%
61	85.5%	83.3%	88.2%	95.7%	93.9%	97.5%
60	86.6%	84.6%	88.9%	96.1%	94.5%	97.7%
59	87.5%	85.7%	89.6%	96.4%	95%	97.9%
58	88.3%	86.7%	90.3%	96.8%	95.5%	98.1%
57	89.1%	87.7%	90.9%	97%	95.9%	98.2%
56	89.9%	88.5%	91.5%	97.3%	96.3%	98.3%
55	90.5%	89.3%	92%	97.5%	96.7%	98.5%
54	91.1%	90%	92.4%	97.7%	97%	98.6%
53	91.6%	90.6%	92.9%	97.9%	97.3%	98.6%
52	92.1%	91.2%	93.2%	98.1%	97.5%	98.7%
51	92.6%	91.7%	93.6%	98.2%	97.7%	98.8%
50	93%	92.2%	94%	98.4%	97.9%	98.9%
49	93.4%	92.6%	94.3%	98.5%	98.1%	98.9%
48	93.7%	93%	94.6%	98.6%	98.3%	99%
47	94%	93.3%	94.8%	98.7%	98.4%	99.1%
46	94.3%	93.7%	95.1%	98.8%	98.6%	99.1%
45	94.6%	93.9%	95.3%	98.9%	98.7%	99.2%
44	94.8%	94.2%	95.5%	99%	98.8%	99.2%
43	95%	94.4%	95.7%	99.1%	98.9%	99.2%
42	95.2%	94.6%	95.8%	99.1%	99%	99.3%
41	95.4%	94.8%	96%	99.2%	99%	99.3%
40	95.5%	95%	96.1%	99.2%	99.1%	99.3%
39	95.7%	95.1%	96.3%	99.3%	99.2%	99.4%
38	95.8%	95.3%	96.4%	99.3%	99.2%	99.4%
37	95.9%	95.4%	96.5%	99.3%	99.3%	99.4%
36	96.1%	95.5%	96.6%	99.4%	99.3%	99.5%
35	96.2%	95.7%	96.7%	99.4%	99.3%	99.5%
34	96.3%	95.8%	96.8%	99.4%	99.4%	99.5%
33	96.4%	95.9%	96.9%	99.5%	99.4%	99.5%
32	96.5%	96%	97%	99.5%	99.4%	99.5%
31	96.6%	96.1%	97.1%	99.5%	99.4%	99.5%
30	96.7%	96.2%	97.2%	99.5%	99.5%	99.6%
29	96.8%	96.3%	97.3%	99.5%	99.5%	99.6%
28	96.8%	96.4%	97.3%	99.5%	99.5%	99.6%
27	96.9%	96.5%	97.4%	99.6%	99.5%	99.6%
26	97%	96.6%	97.5%	99.6%	99.5%	99.6%
25	97.1%	96.7%	97.5%	99.6%	99.5%	99.6%
24	97.2%	96.8%	97.6%	99.6%	99.6%	99.6%
23	97.2%	96.8%	97.7%	99.6%	99.6%	99.6%
22	97.3%	96.9%	97.7%	99.6%	99.6%	99.7%
21	97.4%	97%	97.8%	99.6%	99.6%	99.7%
20	97.5%	97.1%	97.8%	99.6%	99.6%	99.7%
19	97.5%	97.2%	97.9%	99.7%	99.6%	99.7%
18	97.6%	97.3%	97.9%	99.7%	99.6%	99.7%
17	97.6%	97.4%	97.9%	99.7%	99.7%	99.7%
16	97.7%	97.4%	98%	99.7%	99.7%	99.7%
15	97.7%	97.5%	98%	99.7%	99.7%	99.7%
14	97.8%	97.5%	98%	99.7%	99.7%	99.7%
13	97.8%	97.5%	98.1%	99.7%	99.7%	99.7%
12	97.8%	97.6%	98.1%	99.7%	99.7%	99.7%
11	97.9%	97.6%	98.1%	99.7%	99.7%	99.7%
10	97.9%	97.6%	98.1%	99.7%	99.7%	99.7%
9	97.9%	97.7%	98.2%	99.7%	99.7%	99.7%
8	97.9%	97.7%	98.2%	99.7%	99.7%	99.7%
7	98%	97.7%	98.2%	99.7%	99.7%	99.8%
6	98%	97.8%	98.2%	99.7%	99.7%	99.8%
5	98.1%	97.8%	98.3%	99.8%	99.7%	99.8%
4	98.1%	97.9%	98.3%	99.8%	99.8%	99.8%
3	98.2%	98%	98.4%	99.8%	99.8%	99.8%
2	98.2%	98%	98.5%	99.8%	99.8%	99.8%
1	98.3%	98.1%	98.6%	99.8%	99.8%	99.8%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 96.1% in South Korea are expected to live past 60, 71.5% and 89% past 70, 41.4% and 71.9% past 80, and only 8.69% and 37.1% 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

South Korea

Male

Female

1x

Age	Probability of dying
	Bhutan			South Korea
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	26.2%	35.5%	25.5%
99	39.6%	42.2%	38%	24.5%	33.3%	23.7%
98	37.6%	40.3%	36%	22.6%	30.9%	21.6%
97	35.6%	38.3%	34%	20.8%	28.6%	19.7%
96	33.7%	36.3%	32%	19%	26.3%	17.8%
95	31.7%	34.3%	30%	17.4%	24.2%	16.1%
94	29.8%	32.3%	28.1%	15.9%	22.2%	14.5%
93	27.9%	30.3%	26.3%	14.6%	20.2%	13%
92	26.1%	28.4%	24.4%	13.3%	18.3%	11.7%
91	24.2%	26.5%	22.6%	12%	16.5%	10.5%
90	22.5%	24.6%	20.8%	10.9%	14.9%	9.42%
89	20.7%	22.8%	19.1%	9.87%	13.4%	8.4%
88	19.1%	21.1%	17.5%	8.91%	12.1%	7.47%
87	17.6%	19.4%	16%	8%	10.8%	6.61%
86	16.1%	17.8%	14.7%	7.17%	9.69%	5.83%
85	14.7%	16.2%	13.4%	6.42%	8.66%	5.13%
84	13.4%	14.8%	12.2%	5.75%	7.75%	4.52%
83	12.2%	13.4%	11.1%	5.15%	6.96%	3.98%
82	11%	12.2%	9.98%	4.63%	6.26%	3.52%
81	9.96%	11.1%	8.96%	4.18%	5.65%	3.13%
80	8.98%	10%	8.02%	3.79%	5.1%	2.8%
79	8.09%	9.09%	7.15%	3.42%	4.6%	2.5%
78	7.28%	8.24%	6.37%	3.07%	4.12%	2.22%
77	6.56%	7.47%	5.67%	2.72%	3.65%	1.95%
76	5.91%	6.78%	5.06%	2.38%	3.21%	1.69%
75	5.33%	6.15%	4.52%	2.07%	2.8%	1.44%
74	4.82%	5.59%	4.05%	1.8%	2.45%	1.23%
73	4.35%	5.07%	3.63%	1.58%	2.16%	1.06%
72	3.92%	4.61%	3.25%	1.41%	1.95%	0.94%
71	3.54%	4.18%	2.91%	1.31%	1.81%	0.86%
70	3.19%	3.79%	2.6%	1.25%	1.72%	0.81%
69	2.88%	3.44%	2.32%	1.19%	1.65%	0.76%
68	2.6%	3.11%	2.07%	1.11%	1.56%	0.69%
67	2.34%	2.82%	1.84%	1.02%	1.44%	0.62%
66	2.11%	2.55%	1.64%	0.9%	1.3%	0.53%
65	1.9%	2.31%	1.46%	0.78%	1.14%	0.44%
64	1.71%	2.09%	1.31%	0.68%	0.99%	0.37%
63	1.55%	1.9%	1.17%	0.59%	0.88%	0.31%
62	1.41%	1.73%	1.06%	0.53%	0.78%	0.27%
61	1.29%	1.58%	0.96%	0.46%	0.69%	0.24%
60	1.17%	1.44%	0.87%	0.41%	0.62%	0.21%
59	1.07%	1.31%	0.79%	0.37%	0.56%	0.19%
58	0.97%	1.19%	0.72%	0.33%	0.5%	0.17%
57	0.88%	1.08%	0.66%	0.3%	0.45%	0.15%
56	0.8%	0.97%	0.6%	0.27%	0.41%	0.13%
55	0.72%	0.87%	0.55%	0.24%	0.36%	0.11%
54	0.65%	0.78%	0.5%	0.21%	0.32%	0.1%
53	0.59%	0.7%	0.46%	0.19%	0.28%	0.09%
52	0.54%	0.63%	0.42%	0.17%	0.25%	0.08%
51	0.49%	0.56%	0.39%	0.15%	0.23%	0.08%
50	0.44%	0.51%	0.36%	0.14%	0.2%	0.07%
49	0.4%	0.46%	0.33%	0.13%	0.19%	0.07%
48	0.37%	0.42%	0.3%	0.12%	0.17%	0.06%
47	0.33%	0.38%	0.28%	0.11%	0.15%	0.06%
46	0.3%	0.34%	0.25%	0.09%	0.13%	0.05%
45	0.27%	0.3%	0.23%	0.09%	0.12%	0.05%
44	0.24%	0.27%	0.21%	0.08%	0.11%	0.04%
43	0.22%	0.24%	0.19%	0.07%	0.1%	0.04%
42	0.2%	0.22%	0.18%	0.06%	0.09%	0.04%
41	0.18%	0.2%	0.16%	0.06%	0.08%	0.03%
40	0.17%	0.18%	0.15%	0.05%	0.07%	0.03%
39	0.15%	0.16%	0.14%	0.05%	0.06%	0.03%
38	0.14%	0.15%	0.13%	0.04%	0.05%	0.03%
37	0.13%	0.14%	0.12%	0.04%	0.05%	0.03%
36	0.12%	0.13%	0.11%	0.03%	0.04%	0.02%
35	0.12%	0.13%	0.11%	0.03%	0.04%	0.02%
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%	0.02%	0.02%
30	0.09%	0.1%	0.08%	0.02%	0.02%	0.01%
29	0.09%	0.1%	0.08%	0.02%	0.02%	0.01%
28	0.09%	0.1%	0.08%	0.02%	0.02%	0.01%
27	0.08%	0.1%	0.07%	0.01%	0.02%	0.01%
26	0.08%	0.1%	0.07%	0.01%	0.02%	0.01%
25	0.08%	0.1%	0.07%	0.01%	0.02%	0.01%
24	0.08%	0.1%	0.06%	0.01%	0.02%	0.01%
23	0.08%	0.1%	0.06%	0.01%	0.01%	0.01%
22	0.08%	0.1%	0.06%	0.01%	0.01%	0.01%
21	0.08%	0.1%	0.06%	0.01%	0.01%	0.01%
20	0.07%	0.09%	0.05%	0.01%	0.01%	0.01%
19	0.07%	0.09%	0.05%	0.01%	0.01%	0.009%
18	0.06%	0.08%	0.05%	0.01%	0.01%	0.008%
17	0.06%	0.07%	0.04%	0.009%	0.01%	0.007%
16	0.05%	0.06%	0.04%	0.008%	0.009%	0.006%
15	0.04%	0.05%	0.03%	0.007%	0.008%	0.006%
14	0.04%	0.04%	0.03%	0.006%	0.006%	0.005%
13	0.03%	0.04%	0.03%	0.005%	0.005%	0.005%
12	0.03%	0.03%	0.02%	0.005%	0.005%	0.004%
11	0.03%	0.03%	0.02%	0.005%	0.005%	0.004%
10	0.03%	0.03%	0.02%	0.005%	0.006%	0.005%
9	0.03%	0.03%	0.02%	0.006%	0.006%	0.006%
8	0.03%	0.04%	0.02%	0.007%	0.007%	0.006%
7	0.03%	0.04%	0.03%	0.007%	0.007%	0.007%
6	0.04%	0.04%	0.03%	0.008%	0.008%	0.008%
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%	0.01%	0.01%	0.02%
1	0.1%	0.1%	0.1%	0.02%	0.02%	0.02%
0	1.66%	1.86%	1.44%	0.19%	0.2%	0.17%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.19% in South Korea, 0.09% vs 0.02% at age 30, 1.17% vs 0.41% at 60, and 8.98% vs 3.79% at 80.

Death rate by age in Bhutan vs South Korea

Chart Table

Bhutan

Male

Female

South Korea

Male

Female

1x

Age	Death rate
	Bhutan			South Korea
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	1,496	465	2,272
99	137.5	76.2	220.6	1,820	846	2,596
98	209.6	121.7	326	2,167	1,138	3,025
97	309	187.5	467	2,513	1,472	3,426
96	439	278.9	647	2,846	1,839	3,778
95	606	401	868	3,154	2,227	4,062
94	811	558	1,131	3,435	2,625	4,281
93	1,054	753	1,431	3,670	2,997	4,428
92	1,331	984	1,759	3,854	3,319	4,513
91	1,633	1,249	2,102	3,978	3,585	4,529
90	1,952	1,541	2,447	4,047	3,805	4,469
89	2,275	1,849	2,779	4,064	3,960	4,351
88	2,591	2,162	3,089	4,023	4,047	4,181
87	2,886	2,466	3,368	3,931	4,072	3,963
86	3,150	2,749	3,608	3,793	4,036	3,713
85	3,375	2,998	3,803	3,628	3,949	3,445
84	3,551	3,206	3,943	3,448	3,833	3,175
83	3,674	3,367	4,022	3,257	3,697	2,914
82	3,741	3,482	4,033	3,068	3,548	2,673
81	3,754	3,550	3,979	2,894	3,393	2,454
80	3,718	3,576	3,867	2,726	3,228	2,253
79	3,643	3,564	3,714	2,548	3,050	2,065
78	3,536	3,521	3,533	2,355	2,849	1,876
77	3,409	3,451	3,336	2,149	2,624	1,680
76	3,267	3,358	3,135	1,925	2,380	1,478
75	3,113	3,248	2,935	1,706	2,136	1,283
74	2,953	3,125	2,738	1,512	1,917	1,112
73	2,787	2,990	2,545	1,347	1,729	968
72	2,618	2,846	2,356	1,225	1,589	862
71	2,449	2,696	2,171	1,153	1,507	801
70	2,281	2,541	1,992	1,109	1,458	760
69	2,119	2,386	1,820	1,068	1,416	712
68	1,961	2,230	1,657	1,012	1,359	656
67	1,809	2,077	1,503	936	1,279	588
66	1,664	1,929	1,361	837	1,167	507
65	1,528	1,788	1,231	730	1,035	424
64	1,404	1,656	1,115	636	909	354
63	1,293	1,534	1,012	563	810	305
62	1,193	1,421	922	501	727	266.7
61	1,101	1,317	842	443	649	231.4
60	1,015	1,218	772	398	585	204.3
59	935	1,124	709	359	531	182.7
58	859	1,033	652	322	481	162.3
57	787	943	600	290	435	143.6
56	719	857	551	260.8	391	126.9
55	655	775	506	232.6	349	111.9
54	595	699	466	206.2	309	98.8
53	542	631	429	182.4	273	88.5
52	494	571	396	164.8	244.9	82.1
51	451	518	366	151	221.8	77.5
50	412	471	339	137.9	200.6	72.6
49	377	428	313	126.7	182.6	68.3
48	343	388	288.2	116.1	166	63.9
47	312	350	264.6	104.4	148.4	58.3
46	282.8	315	242	93.1	131.9	52.6
45	255.5	283.2	220.8	84.3	118.5	48.1
44	230.7	254	201.4	76.2	106.4	44
43	208.8	228.2	184.2	68.6	95.3	40.2
42	189.6	205.7	169.1	61.9	85.1	37
41	173.2	186.5	156.2	55.8	75.6	34.2
40	159.2	170.2	145	50.2	66.9	31.8
39	147.1	156.5	135.1	44.8	58.7	29.5
38	136.8	144.9	126.3	40.1	51.5	27.4
37	127.7	135.2	118.3	36.1	45.3	25.6
36	119.9	126.9	110.9	32.3	39.8	23.6
35	113.1	119.9	104.2	28.9	35.1	21.7
34	107	113.8	98.1	26	31.3	20
33	101.7	108.5	92.7	23.6	28.1	18.4
32	97	103.9	88	21.5	25.4	16.9
31	93	100	83.9	19.7	23.3	15.6
30	89.5	96.8	80.2	18.2	21.5	14.5
29	86.6	94.4	76.9	16.8	19.9	13.4
28	84.2	92.9	73.9	15.6	18.5	12.5
27	82.4	92.3	70.9	14.6	17.3	11.8
26	81	92.6	68.1	13.8	16.2	11.2
25	80.1	93.6	65.3	13.2	15.4	10.8
24	79.3	94.7	62.5	12.8	14.9	10.5
23	78.5	95.7	59.9	12.6	14.8	10.3
22	77.4	95.9	57.3	12.5	14.7	10.1
21	75.5	94.7	54.6	12.4	14.7	9.89
20	72.4	91.5	51.6	12.1	14.4	9.53
19	67.8	85.7	48.2	11.5	13.8	9.02
18	61.8	77.7	44.2	10.5	12.6	8.27
17	54.7	68	39.9	9.2	10.9	7.37
16	47.4	58.1	35.5	7.83	9.14	6.44
15	40.6	49	31.3	6.59	7.52	5.6
14	34.9	41.5	27.7	5.61	6.25	4.94
13	30.7	36	24.8	5.01	5.45	4.54
12	27.9	32.5	22.8	4.72	5.06	4.37
11	26.4	30.8	21.6	4.77	5.05	4.47
10	26.2	30.6	21.3	5.33	5.63	5.02
9	27.2	31.9	22	6.1	6.42	5.75
8	29.2	34.5	23.7	6.71	7.03	6.38
7	32.7	38.4	26.7	7.2	7.46	6.92
6	37.6	43.7	31.2	7.76	7.93	7.57
5	44.3	50.3	37.9	8.61	8.68	8.54
4	53	58.5	47.2	9.92	9.86	9.98
3	64.3	68.3	60	11.9	11.7	12.1
2	78.6	80.1	77.1	14.9	14.5	15.2
1	96.8	94	99.8	19.6	19.2	20.2
0	1,655	1,861	1,440	189.5	203.7	174.6

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 89 in South Korea. The median age of death is 77.6 in Bhutan and 86.8 in South Korea, 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 South Korea more than their death rates.

Life expectancy in other countries

+ -

1x