Life Expectancy in Bhutan vs Chile (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Chile

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Chile
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	103	102.7	103.1
99	100.9	100.8	101	102.1	101.9	102.2
98	100	99.9	100.1	101.4	101.1	101.4
97	99.1	99	99.2	100.6	100.4	100.7
96	98.2	98.1	98.3	99.8	99.6	99.9
95	97.4	97.2	97.5	99.1	98.8	99.2
94	96.5	96.3	96.6	98.4	98.1	98.5
93	95.7	95.5	95.8	97.6	97.4	97.8
92	94.8	94.6	95	97	96.7	97.1
91	94	93.8	94.2	96.3	96	96.5
90	93.2	93	93.4	95.6	95.3	95.8
89	92.5	92.2	92.7	95	94.7	95.2
88	91.7	91.4	92	94.4	94	94.6
87	91	90.7	91.2	93.8	93.4	94.1
86	90.3	89.9	90.5	93.2	92.8	93.5
85	89.6	89.2	89.9	92.7	92.3	93
84	88.9	88.5	89.2	92.2	91.7	92.6
83	88.2	87.8	88.6	91.7	91.2	92.1
82	87.6	87.2	88	91.3	90.7	91.7
81	87	86.6	87.4	90.8	90.2	91.3
80	86.4	85.9	86.8	90.4	89.8	90.9
79	85.8	85.4	86.3	90	89.3	90.5
78	85.3	84.8	85.8	89.6	88.9	90.1
77	84.8	84.2	85.3	89.2	88.5	89.8
76	84.3	83.7	84.9	88.8	88.1	89.5
75	83.8	83.2	84.5	88.5	87.7	89.1
74	83.4	82.7	84.1	88.1	87.3	88.8
73	83	82.3	83.7	87.8	86.9	88.6
72	82.5	81.8	83.3	87.5	86.6	88.3
71	82.2	81.4	83	87.2	86.3	88
70	81.8	81	82.7	87	86	87.8
69	81.4	80.6	82.4	86.7	85.7	87.6
68	81.1	80.2	82.1	86.5	85.4	87.4
67	80.8	79.8	81.8	86.3	85.2	87.2
66	80.5	79.5	81.5	86	85	87
65	80.2	79.2	81.3	85.9	84.7	86.9
64	79.9	78.9	81.1	85.7	84.5	86.7
63	79.7	78.6	80.9	85.5	84.3	86.5
62	79.4	78.3	80.7	85.3	84.1	86.4
61	79.2	78	80.5	85.2	83.9	86.3
60	79	77.8	80.3	85	83.8	86.1
59	78.8	77.5	80.2	84.8	83.6	86
58	78.6	77.3	80	84.7	83.4	85.9
57	78.4	77.1	79.9	84.6	83.3	85.8
56	78.2	76.9	79.7	84.4	83.1	85.7
55	78	76.7	79.6	84.3	83	85.6
54	77.9	76.5	79.5	84.2	82.8	85.5
53	77.7	76.4	79.3	84.1	82.7	85.4
52	77.6	76.2	79.2	84	82.6	85.3
51	77.5	76.1	79.1	83.9	82.5	85.2
50	77.4	76	79	83.8	82.4	85.1
49	77.3	75.8	78.9	83.7	82.3	85.1
48	77.1	75.7	78.8	83.6	82.2	85
47	77	75.6	78.7	83.6	82.1	85
46	77	75.5	78.7	83.5	82	84.9
45	76.9	75.4	78.6	83.4	81.9	84.9
44	76.8	75.3	78.5	83.4	81.8	84.8
43	76.7	75.3	78.4	83.3	81.8	84.8
42	76.7	75.2	78.4	83.2	81.7	84.7
41	76.6	75.1	78.3	83.2	81.6	84.7
40	76.5	75.1	78.3	83.1	81.6	84.6
39	76.5	75	78.2	83.1	81.5	84.6
38	76.4	75	78.2	83	81.5	84.6
37	76.4	74.9	78.1	83	81.4	84.5
36	76.3	74.9	78.1	83	81.4	84.5
35	76.3	74.8	78	82.9	81.3	84.5
34	76.2	74.8	78	82.9	81.3	84.5
33	76.2	74.7	77.9	82.8	81.2	84.4
32	76.1	74.7	77.9	82.8	81.2	84.4
31	76.1	74.6	77.8	82.8	81.1	84.4
30	76	74.6	77.8	82.7	81.1	84.4
29	76	74.5	77.8	82.7	81	84.3
28	76	74.5	77.7	82.7	81	84.3
27	75.9	74.4	77.7	82.6	80.9	84.3
26	75.9	74.4	77.7	82.6	80.9	84.3
25	75.8	74.3	77.6	82.6	80.8	84.3
24	75.8	74.3	77.6	82.5	80.8	84.3
23	75.8	74.2	77.6	82.5	80.7	84.2
22	75.7	74.2	77.5	82.5	80.7	84.2
21	75.7	74.1	77.5	82.4	80.6	84.2
20	75.6	74.1	77.5	82.4	80.6	84.2
19	75.6	74	77.4	82.4	80.6	84.2
18	75.6	74	77.4	82.4	80.5	84.1
17	75.5	74	77.4	82.3	80.5	84.1
16	75.5	73.9	77.4	82.3	80.5	84.1
15	75.5	73.9	77.3	82.3	80.5	84.1
14	75.4	73.9	77.3	82.3	80.4	84.1
13	75.4	73.9	77.3	82.3	80.4	84.1
12	75.4	73.8	77.3	82.3	80.4	84.1
11	75.4	73.8	77.3	82.3	80.4	84.1
10	75.4	73.8	77.3	82.2	80.4	84
9	75.4	73.8	77.2	82.2	80.4	84
8	75.3	73.7	77.2	82.2	80.4	84
7	75.3	73.7	77.2	82.2	80.4	84
6	75.3	73.7	77.2	82.2	80.4	84
5	75.3	73.7	77.2	82.2	80.4	84
4	75.2	73.6	77.1	82.2	80.4	84
3	75.2	73.6	77.1	82.2	80.3	84
2	75.1	73.5	77	82.2	80.3	84
1	75	73.4	76.9	82.1	80.3	83.9
0	73.8	72.1	75.8	81.7	79.9	83.5

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 82.7 in Chile, rising to 80.2 and 85.9 at 65, and to 86.4 and 90.4 at 80 — higher than the 73.8 and 81.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Chile

Male

Female

1x

Age	Survival probability
	Bhutan			Chile
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	4.94%	3.63%	6.12%
99	0.35%	0.18%	0.58%	6.46%	4.82%	7.94%
98	0.56%	0.3%	0.91%	8.26%	6.26%	10.1%
97	0.87%	0.49%	1.37%	10.4%	7.96%	12.5%
96	1.31%	0.77%	2.02%	12.7%	9.93%	15.3%
95	1.91%	1.17%	2.89%	15.4%	12.2%	18.3%
94	2.72%	1.73%	4.02%	18.3%	14.6%	21.6%
93	3.78%	2.48%	5.45%	21.3%	17.4%	25.1%
92	5.11%	3.46%	7.21%	24.6%	20.3%	28.7%
91	6.74%	4.71%	9.31%	28.1%	23.4%	32.5%
90	8.69%	6.25%	11.8%	31.6%	26.7%	36.3%
89	11%	8.1%	14.5%	35.2%	30.1%	40.2%
88	13.6%	10.3%	17.6%	38.9%	33.5%	44%
87	16.4%	12.7%	21%	42.5%	37%	47.8%
86	19.6%	15.5%	24.6%	46.1%	40.5%	51.4%
85	23%	18.5%	28.4%	49.5%	43.9%	54.9%
84	26.5%	21.7%	32.3%	52.7%	47.2%	58.2%
83	30.2%	25.1%	36.4%	55.9%	50.3%	61.3%
82	33.9%	28.5%	40.4%	58.8%	53.4%	64.1%
81	37.7%	32.1%	44.4%	61.6%	56.3%	66.8%
80	41.4%	35.7%	48.3%	64.2%	59.1%	69.3%
79	45%	39.2%	52%	66.8%	61.8%	71.7%
78	48.6%	42.7%	55.5%	69.2%	64.4%	73.9%
77	52%	46.2%	58.8%	71.4%	66.8%	76%
76	55.3%	49.6%	62%	73.6%	69.2%	77.9%
75	58.4%	52.8%	64.9%	75.6%	71.4%	79.7%
74	61.3%	55.9%	67.6%	77.5%	73.5%	81.4%
73	64.1%	58.9%	70.2%	79.2%	75.5%	83%
72	66.7%	61.8%	72.5%	80.8%	77.3%	84.4%
71	69.2%	64.5%	74.7%	82.3%	79%	85.6%
70	71.5%	67%	76.7%	83.6%	80.5%	86.8%
69	73.6%	69.4%	78.5%	84.8%	81.9%	87.8%
68	75.5%	71.6%	80.2%	85.9%	83.2%	88.8%
67	77.4%	73.7%	81.7%	86.9%	84.3%	89.6%
66	79%	75.6%	83%	87.9%	85.4%	90.4%
65	80.5%	77.4%	84.3%	88.7%	86.3%	91.1%
64	81.9%	79.1%	85.4%	89.5%	87.3%	91.7%
63	83.2%	80.6%	86.4%	90.2%	88.1%	92.3%
62	84.4%	82%	87.3%	90.9%	88.9%	92.9%
61	85.5%	83.3%	88.2%	91.5%	89.6%	93.4%
60	86.6%	84.6%	88.9%	92.1%	90.3%	93.9%
59	87.5%	85.7%	89.6%	92.6%	91%	94.3%
58	88.3%	86.7%	90.3%	93.1%	91.6%	94.8%
57	89.1%	87.7%	90.9%	93.6%	92.1%	95.1%
56	89.9%	88.5%	91.5%	94.1%	92.7%	95.5%
55	90.5%	89.3%	92%	94.5%	93.1%	95.8%
54	91.1%	90%	92.4%	94.8%	93.6%	96.1%
53	91.6%	90.6%	92.9%	95.2%	94%	96.4%
52	92.1%	91.2%	93.2%	95.5%	94.4%	96.6%
51	92.6%	91.7%	93.6%	95.8%	94.7%	96.8%
50	93%	92.2%	94%	96%	95.1%	97%
49	93.4%	92.6%	94.3%	96.3%	95.4%	97.2%
48	93.7%	93%	94.6%	96.5%	95.6%	97.4%
47	94%	93.3%	94.8%	96.7%	95.9%	97.5%
46	94.3%	93.7%	95.1%	96.9%	96.1%	97.7%
45	94.6%	93.9%	95.3%	97%	96.3%	97.8%
44	94.8%	94.2%	95.5%	97.2%	96.5%	97.9%
43	95%	94.4%	95.7%	97.3%	96.7%	98%
42	95.2%	94.6%	95.8%	97.5%	96.8%	98.1%
41	95.4%	94.8%	96%	97.6%	97%	98.2%
40	95.5%	95%	96.1%	97.7%	97.1%	98.3%
39	95.7%	95.1%	96.3%	97.8%	97.3%	98.4%
38	95.8%	95.3%	96.4%	97.9%	97.4%	98.4%
37	95.9%	95.4%	96.5%	98%	97.5%	98.5%
36	96.1%	95.5%	96.6%	98.1%	97.6%	98.6%
35	96.2%	95.7%	96.7%	98.2%	97.7%	98.6%
34	96.3%	95.8%	96.8%	98.2%	97.8%	98.7%
33	96.4%	95.9%	96.9%	98.3%	97.9%	98.7%
32	96.5%	96%	97%	98.4%	98%	98.8%
31	96.6%	96.1%	97.1%	98.5%	98.1%	98.8%
30	96.7%	96.2%	97.2%	98.5%	98.2%	98.8%
29	96.8%	96.3%	97.3%	98.6%	98.3%	98.9%
28	96.8%	96.4%	97.3%	98.7%	98.4%	98.9%
27	96.9%	96.5%	97.4%	98.7%	98.5%	99%
26	97%	96.6%	97.5%	98.8%	98.6%	99%
25	97.1%	96.7%	97.5%	98.8%	98.7%	99%
24	97.2%	96.8%	97.6%	98.9%	98.7%	99%
23	97.2%	96.8%	97.7%	98.9%	98.8%	99.1%
22	97.3%	96.9%	97.7%	99%	98.9%	99.1%
21	97.4%	97%	97.8%	99%	99%	99.1%
20	97.5%	97.1%	97.8%	99.1%	99%	99.2%
19	97.5%	97.2%	97.9%	99.1%	99.1%	99.2%
18	97.6%	97.3%	97.9%	99.2%	99.2%	99.2%
17	97.6%	97.4%	97.9%	99.2%	99.2%	99.2%
16	97.7%	97.4%	98%	99.3%	99.2%	99.3%
15	97.7%	97.5%	98%	99.3%	99.3%	99.3%
14	97.8%	97.5%	98%	99.3%	99.3%	99.3%
13	97.8%	97.5%	98.1%	99.3%	99.3%	99.3%
12	97.8%	97.6%	98.1%	99.3%	99.3%	99.3%
11	97.9%	97.6%	98.1%	99.3%	99.3%	99.3%
10	97.9%	97.6%	98.1%	99.3%	99.3%	99.4%
9	97.9%	97.7%	98.2%	99.4%	99.3%	99.4%
8	97.9%	97.7%	98.2%	99.4%	99.4%	99.4%
7	98%	97.7%	98.2%	99.4%	99.4%	99.4%
6	98%	97.8%	98.2%	99.4%	99.4%	99.4%
5	98.1%	97.8%	98.3%	99.4%	99.4%	99.4%
4	98.1%	97.9%	98.3%	99.4%	99.4%	99.4%
3	98.2%	98%	98.4%	99.4%	99.4%	99.4%
2	98.2%	98%	98.5%	99.5%	99.4%	99.5%
1	98.3%	98.1%	98.6%	99.5%	99.5%	99.5%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 92.1% in Chile are expected to live past 60, 71.5% and 83.6% past 70, 41.4% and 64.2% past 80, and only 8.69% and 31.6% 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

Chile

Male

Female

1x

Age	Probability of dying
	Bhutan			Chile
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	25%	26.2%	24.5%
99	39.6%	42.2%	38%	23.5%	24.7%	23%
98	37.6%	40.3%	36%	21.8%	23%	21.2%
97	35.6%	38.3%	34%	20.2%	21.4%	19.6%
96	33.7%	36.3%	32%	18.7%	19.8%	18%
95	31.7%	34.3%	30%	17.2%	18.4%	16.6%
94	29.8%	32.3%	28.1%	15.8%	17%	15.2%
93	27.9%	30.3%	26.3%	14.5%	15.6%	13.8%
92	26.1%	28.4%	24.4%	13.3%	14.4%	12.6%
91	24.2%	26.5%	22.6%	12.2%	13.3%	11.6%
90	22.5%	24.6%	20.8%	11.2%	12.3%	10.6%
89	20.7%	22.8%	19.1%	10.3%	11.3%	9.63%
88	19.1%	21.1%	17.5%	9.39%	10.3%	8.75%
87	17.6%	19.4%	16%	8.53%	9.43%	7.9%
86	16.1%	17.8%	14.7%	7.7%	8.56%	7.08%
85	14.7%	16.2%	13.4%	6.92%	7.74%	6.32%
84	13.4%	14.8%	12.2%	6.2%	6.98%	5.62%
83	12.2%	13.4%	11.1%	5.57%	6.3%	5.01%
82	11%	12.2%	9.98%	5.01%	5.7%	4.47%
81	9.96%	11.1%	8.96%	4.53%	5.19%	4.02%
80	8.98%	10%	8.02%	4.12%	4.74%	3.63%
79	8.09%	9.09%	7.15%	3.77%	4.35%	3.3%
78	7.28%	8.24%	6.37%	3.46%	4.01%	3%
77	6.56%	7.47%	5.67%	3.18%	3.69%	2.74%
76	5.91%	6.78%	5.06%	2.92%	3.41%	2.5%
75	5.33%	6.15%	4.52%	2.67%	3.13%	2.27%
74	4.82%	5.59%	4.05%	2.44%	2.87%	2.06%
73	4.35%	5.07%	3.63%	2.21%	2.61%	1.86%
72	3.92%	4.61%	3.25%	1.99%	2.36%	1.66%
71	3.54%	4.18%	2.91%	1.78%	2.11%	1.49%
70	3.19%	3.79%	2.6%	1.59%	1.89%	1.32%
69	2.88%	3.44%	2.32%	1.42%	1.69%	1.18%
68	2.6%	3.11%	2.07%	1.27%	1.51%	1.05%
67	2.34%	2.82%	1.84%	1.15%	1.36%	0.95%
66	2.11%	2.55%	1.64%	1.04%	1.24%	0.86%
65	1.9%	2.31%	1.46%	0.95%	1.13%	0.78%
64	1.71%	2.09%	1.31%	0.87%	1.04%	0.71%
63	1.55%	1.9%	1.17%	0.81%	0.97%	0.65%
62	1.41%	1.73%	1.06%	0.74%	0.89%	0.6%
61	1.29%	1.58%	0.96%	0.69%	0.83%	0.56%
60	1.17%	1.44%	0.87%	0.64%	0.77%	0.51%
59	1.07%	1.31%	0.79%	0.59%	0.71%	0.47%
58	0.97%	1.19%	0.72%	0.54%	0.66%	0.43%
57	0.88%	1.08%	0.66%	0.5%	0.61%	0.4%
56	0.8%	0.97%	0.6%	0.46%	0.56%	0.37%
55	0.72%	0.87%	0.55%	0.43%	0.52%	0.33%
54	0.65%	0.78%	0.5%	0.39%	0.48%	0.31%
53	0.59%	0.7%	0.46%	0.36%	0.44%	0.28%
52	0.54%	0.63%	0.42%	0.33%	0.41%	0.25%
51	0.49%	0.56%	0.39%	0.3%	0.37%	0.23%
50	0.44%	0.51%	0.36%	0.27%	0.33%	0.21%
49	0.4%	0.46%	0.33%	0.25%	0.3%	0.19%
48	0.37%	0.42%	0.3%	0.22%	0.27%	0.17%
47	0.33%	0.38%	0.28%	0.2%	0.25%	0.16%
46	0.3%	0.34%	0.25%	0.19%	0.23%	0.14%
45	0.27%	0.3%	0.23%	0.17%	0.21%	0.13%
44	0.24%	0.27%	0.21%	0.16%	0.2%	0.12%
43	0.22%	0.24%	0.19%	0.15%	0.18%	0.11%
42	0.2%	0.22%	0.18%	0.14%	0.17%	0.1%
41	0.18%	0.2%	0.16%	0.13%	0.16%	0.09%
40	0.17%	0.18%	0.15%	0.12%	0.15%	0.08%
39	0.15%	0.16%	0.14%	0.11%	0.14%	0.08%
38	0.14%	0.15%	0.13%	0.1%	0.13%	0.07%
37	0.13%	0.14%	0.12%	0.09%	0.12%	0.06%
36	0.12%	0.13%	0.11%	0.09%	0.12%	0.06%
35	0.12%	0.13%	0.11%	0.08%	0.11%	0.05%
34	0.11%	0.12%	0.1%	0.08%	0.11%	0.05%
33	0.11%	0.11%	0.1%	0.08%	0.1%	0.05%
32	0.1%	0.11%	0.09%	0.07%	0.1%	0.04%
31	0.1%	0.1%	0.09%	0.07%	0.1%	0.04%
30	0.09%	0.1%	0.08%	0.07%	0.1%	0.04%
29	0.09%	0.1%	0.08%	0.07%	0.1%	0.04%
28	0.09%	0.1%	0.08%	0.06%	0.09%	0.04%
27	0.08%	0.1%	0.07%	0.06%	0.09%	0.03%
26	0.08%	0.1%	0.07%	0.06%	0.09%	0.03%
25	0.08%	0.1%	0.07%	0.06%	0.08%	0.03%
24	0.08%	0.1%	0.06%	0.05%	0.08%	0.03%
23	0.08%	0.1%	0.06%	0.05%	0.08%	0.03%
22	0.08%	0.1%	0.06%	0.05%	0.07%	0.03%
21	0.08%	0.1%	0.06%	0.05%	0.07%	0.03%
20	0.07%	0.09%	0.05%	0.05%	0.07%	0.03%
19	0.07%	0.09%	0.05%	0.05%	0.07%	0.03%
18	0.06%	0.08%	0.05%	0.04%	0.06%	0.03%
17	0.06%	0.07%	0.04%	0.04%	0.05%	0.02%
16	0.05%	0.06%	0.04%	0.03%	0.04%	0.02%
15	0.04%	0.05%	0.03%	0.02%	0.03%	0.02%
14	0.04%	0.04%	0.03%	0.02%	0.02%	0.02%
13	0.03%	0.04%	0.03%	0.02%	0.02%	0.02%
12	0.03%	0.03%	0.02%	0.01%	0.01%	0.01%
11	0.03%	0.03%	0.02%	0.01%	0.01%	0.01%
10	0.03%	0.03%	0.02%	0.01%	0.009%	0.01%
9	0.03%	0.03%	0.02%	0.01%	0.009%	0.01%
8	0.03%	0.04%	0.02%	0.01%	0.009%	0.01%
7	0.03%	0.04%	0.03%	0.01%	0.01%	0.01%
6	0.04%	0.04%	0.03%	0.01%	0.01%	0.01%
5	0.05%	0.05%	0.04%	0.01%	0.01%	0.01%
4	0.05%	0.06%	0.05%	0.02%	0.02%	0.02%
3	0.07%	0.07%	0.06%	0.02%	0.02%	0.02%
2	0.08%	0.08%	0.08%	0.02%	0.02%	0.02%
1	0.1%	0.1%	0.1%	0.03%	0.03%	0.03%
0	1.66%	1.86%	1.44%	0.52%	0.53%	0.51%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.52% in Chile, 0.09% vs 0.07% at age 30, 1.17% vs 0.64% at 60, and 8.98% vs 4.12% at 80.

Death rate by age in Bhutan vs Chile

Chart Table

Bhutan

Male

Female

Chile

Male

Female

1x

Age	Death rate
	Bhutan			Chile
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	1,240	922	1,530
99	137.5	76.2	220.6	1,518	1,189	1,823
98	209.6	121.7	326	1,803	1,440	2,142
97	309	187.5	467	2,091	1,703	2,459
96	439	278.9	647	2,375	1,970	2,761
95	606	401	868	2,642	2,232	3,037
94	811	558	1,131	2,884	2,484	3,276
93	1,054	753	1,431	3,095	2,715	3,472
92	1,331	984	1,759	3,278	2,926	3,631
91	1,633	1,249	2,102	3,431	3,113	3,754
90	1,952	1,541	2,447	3,548	3,269	3,835
89	2,275	1,849	2,779	3,624	3,389	3,870
88	2,591	2,162	3,089	3,652	3,465	3,852
87	2,886	2,466	3,368	3,624	3,490	3,774
86	3,150	2,749	3,608	3,544	3,464	3,642
85	3,375	2,998	3,803	3,421	3,394	3,469
84	3,551	3,206	3,943	3,272	3,293	3,272
83	3,674	3,367	4,022	3,110	3,172	3,067
82	3,741	3,482	4,033	2,949	3,045	2,869
81	3,754	3,550	3,979	2,793	2,919	2,685
80	3,718	3,576	3,867	2,648	2,799	2,517
79	3,643	3,564	3,714	2,517	2,687	2,363
78	3,536	3,521	3,533	2,393	2,578	2,219
77	3,409	3,451	3,336	2,270	2,470	2,081
76	3,267	3,358	3,135	2,147	2,357	1,946
75	3,113	3,248	2,935	2,020	2,237	1,810
74	2,953	3,125	2,738	1,889	2,110	1,675
73	2,787	2,990	2,545	1,752	1,971	1,539
72	2,618	2,846	2,356	1,610	1,823	1,404
71	2,449	2,696	2,171	1,469	1,670	1,273
70	2,281	2,541	1,992	1,332	1,520	1,148
69	2,119	2,386	1,820	1,206	1,381	1,036
68	1,961	2,230	1,657	1,094	1,256	935
67	1,809	2,077	1,503	997	1,148	848
66	1,664	1,929	1,361	913	1,056	773
65	1,528	1,788	1,231	842	978	709
64	1,404	1,656	1,115	781	911	654
63	1,293	1,534	1,012	727	850	605
62	1,193	1,421	922	677	795	560
61	1,101	1,317	842	630	742	519
60	1,015	1,218	772	586	692	481
59	935	1,124	709	545	645	445
58	859	1,033	652	507	601	411
57	787	943	600	470	560	379
56	719	857	551	436	522	349
55	655	775	506	404	486	320
54	595	699	466	373	451	293.2
53	542	631	429	343	417	267.7
52	494	571	396	314	382	243.8
51	451	518	366	286.1	349	221.6
50	412	471	339	260.1	317	201.4
49	377	428	313	236.4	288.3	183.1
48	343	388	288.2	215.3	262.5	166.8
47	312	350	264.6	197	240.4	152.4
46	282.8	315	242	181.2	221.5	139.6
45	255.5	283.2	220.8	167.4	205.5	128.2
44	230.7	254	201.4	155.1	191.4	117.8
43	208.8	228.2	184.2	144	178.8	108.1
42	189.6	205.7	169.1	133.6	167.2	99
41	173.2	186.5	156.2	123.9	156.3	90.5
40	159.2	170.2	145	114.8	146.2	82.6
39	147.1	156.5	135.1	106.5	136.7	75.3
38	136.8	144.9	126.3	98.9	128.1	68.8
37	127.7	135.2	118.3	92.3	120.5	63.1
36	119.9	126.9	110.9	86.5	113.9	58.2
35	113.1	119.9	104.2	81.6	108.5	53.9
34	107	113.8	98.1	77.6	104.2	50.2
33	101.7	108.5	92.7	74.3	100.9	46.9
32	97	103.9	88	71.7	98.7	44
31	93	100	83.9	69.6	97	41.4
30	89.5	96.8	80.2	67.8	95.7	39.1
29	86.6	94.4	76.9	66	94	37.1
28	84.2	92.9	73.9	63.9	91.6	35.4
27	82.4	92.3	70.9	61.5	88.4	33.9
26	81	92.6	68.1	58.9	84.5	32.7
25	80.1	93.6	65.3	56.4	80.4	31.7
24	79.3	94.7	62.5	54.2	76.8	31
23	78.5	95.7	59.9	52.7	74.3	30.4
22	77.4	95.9	57.3	51.7	72.7	30
21	75.5	94.7	54.6	51	71.5	29.6
20	72.4	91.5	51.6	49.7	69.6	29
19	67.8	85.7	48.2	47.1	65.4	28
18	61.8	77.7	44.2	42.6	57.9	26.6
17	54.7	68	39.9	36.6	48.1	24.6
16	47.4	58.1	35.5	29.9	37.3	22.2
15	40.6	49	31.3	23.8	27.8	19.7
14	34.9	41.5	27.7	18.8	20.4	17.2
13	30.7	36	24.8	15.2	15.3	15
12	27.9	32.5	22.8	12.6	12	13.2
11	26.4	30.8	21.6	11	10.1	11.9
10	26.2	30.6	21.3	10	9.16	11
9	27.2	31.9	22	9.67	8.9	10.5
8	29.2	34.5	23.7	9.77	9.18	10.4
7	32.7	38.4	26.7	10.4	9.96	10.8
6	37.6	43.7	31.2	11.5	11.2	11.7
5	44.3	50.3	37.9	13.1	13.1	13.1
4	53	58.5	47.2	15.4	15.5	15.3
3	64.3	68.3	60	18.4	18.7	18.1
2	78.6	80.1	77.1	22.3	22.7	21.8
1	96.8	94	99.8	27.1	27.7	26.4
0	1,655	1,861	1,440	519	531	507

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 Chile. The median age of death is 77.6 in Bhutan and 84.8 in Chile, 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 Chile more than their death rates.

Life expectancy in other countries

+ -

1x