Life Expectancy in Bhutan vs Comoros (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Comoros

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Comoros
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	101.8	101.7	101.9
99	100.9	100.8	101	100.9	100.8	101
98	100	99.9	100.1	100	99.9	100
97	99.1	99	99.2	99.1	99	99.1
96	98.2	98.1	98.3	98.2	98.1	98.3
95	97.4	97.2	97.5	97.3	97.2	97.4
94	96.5	96.3	96.6	96.5	96.3	96.5
93	95.7	95.5	95.8	95.6	95.5	95.7
92	94.8	94.6	95	94.8	94.6	94.8
91	94	93.8	94.2	93.9	93.7	94
90	93.2	93	93.4	93.1	92.9	93.2
89	92.5	92.2	92.7	92.3	92.1	92.4
88	91.7	91.4	92	91.5	91.3	91.6
87	91	90.7	91.2	90.7	90.5	90.9
86	90.3	89.9	90.5	89.9	89.7	90.1
85	89.6	89.2	89.9	89.2	88.9	89.4
84	88.9	88.5	89.2	88.4	88.1	88.7
83	88.2	87.8	88.6	87.7	87.4	88
82	87.6	87.2	88	87	86.7	87.3
81	87	86.6	87.4	86.4	86	86.6
80	86.4	85.9	86.8	85.7	85.3	86
79	85.8	85.4	86.3	85.1	84.7	85.4
78	85.3	84.8	85.8	84.4	84	84.8
77	84.8	84.2	85.3	83.8	83.4	84.3
76	84.3	83.7	84.9	83.3	82.7	83.7
75	83.8	83.2	84.5	82.7	82.1	83.2
74	83.4	82.7	84.1	82.2	81.6	82.7
73	83	82.3	83.7	81.6	81	82.2
72	82.5	81.8	83.3	81.2	80.5	81.8
71	82.2	81.4	83	80.7	79.9	81.3
70	81.8	81	82.7	80.2	79.4	80.9
69	81.4	80.6	82.4	79.8	79	80.6
68	81.1	80.2	82.1	79.4	78.5	80.2
67	80.8	79.8	81.8	79	78	79.9
66	80.5	79.5	81.5	78.6	77.6	79.5
65	80.2	79.2	81.3	78.2	77.2	79.2
64	79.9	78.9	81.1	77.9	76.8	78.9
63	79.7	78.6	80.9	77.5	76.4	78.6
62	79.4	78.3	80.7	77.2	76	78.4
61	79.2	78	80.5	76.9	75.7	78.1
60	79	77.8	80.3	76.6	75.4	77.9
59	78.8	77.5	80.2	76.3	75	77.6
58	78.6	77.3	80	76.1	74.7	77.4
57	78.4	77.1	79.9	75.8	74.4	77.2
56	78.2	76.9	79.7	75.6	74.2	77
55	78	76.7	79.6	75.3	73.9	76.8
54	77.9	76.5	79.5	75.1	73.7	76.6
53	77.7	76.4	79.3	74.9	73.4	76.4
52	77.6	76.2	79.2	74.7	73.2	76.3
51	77.5	76.1	79.1	74.5	73	76.1
50	77.4	76	79	74.3	72.8	75.9
49	77.3	75.8	78.9	74.1	72.6	75.8
48	77.1	75.7	78.8	74	72.4	75.6
47	77	75.6	78.7	73.8	72.3	75.5
46	77	75.5	78.7	73.7	72.1	75.4
45	76.9	75.4	78.6	73.5	71.9	75.2
44	76.8	75.3	78.5	73.4	71.8	75.1
43	76.7	75.3	78.4	73.3	71.7	75
42	76.7	75.2	78.4	73.1	71.5	74.9
41	76.6	75.1	78.3	73	71.4	74.8
40	76.5	75.1	78.3	72.9	71.3	74.7
39	76.5	75	78.2	72.8	71.2	74.6
38	76.4	75	78.2	72.7	71.1	74.5
37	76.4	74.9	78.1	72.6	71	74.4
36	76.3	74.9	78.1	72.5	70.9	74.3
35	76.3	74.8	78	72.4	70.8	74.2
34	76.2	74.8	78	72.3	70.7	74.1
33	76.2	74.7	77.9	72.3	70.6	74
32	76.1	74.7	77.9	72.2	70.5	74
31	76.1	74.6	77.8	72.1	70.4	73.9
30	76	74.6	77.8	72	70.3	73.8
29	76	74.5	77.8	71.9	70.2	73.8
28	76	74.5	77.7	71.9	70.1	73.7
27	75.9	74.4	77.7	71.8	70.1	73.6
26	75.9	74.4	77.7	71.7	70	73.5
25	75.8	74.3	77.6	71.6	69.9	73.5
24	75.8	74.3	77.6	71.5	69.8	73.4
23	75.8	74.2	77.6	71.4	69.7	73.4
22	75.7	74.2	77.5	71.4	69.6	73.3
21	75.7	74.1	77.5	71.3	69.5	73.2
20	75.6	74.1	77.5	71.2	69.4	73.2
19	75.6	74	77.4	71.1	69.3	73.1
18	75.6	74	77.4	71	69.2	73
17	75.5	74	77.4	71	69.1	73
16	75.5	73.9	77.4	70.9	69	72.9
15	75.5	73.9	77.3	70.9	69	72.9
14	75.4	73.9	77.3	70.8	68.9	72.9
13	75.4	73.9	77.3	70.8	68.9	72.8
12	75.4	73.8	77.3	70.7	68.8	72.8
11	75.4	73.8	77.3	70.7	68.8	72.7
10	75.4	73.8	77.3	70.7	68.7	72.7
9	75.4	73.8	77.2	70.6	68.7	72.7
8	75.3	73.7	77.2	70.6	68.7	72.6
7	75.3	73.7	77.2	70.5	68.6	72.6
6	75.3	73.7	77.2	70.5	68.5	72.5
5	75.3	73.7	77.2	70.4	68.5	72.5
4	75.2	73.6	77.1	70.3	68.4	72.4
3	75.2	73.6	77.1	70.2	68.2	72.2
2	75.1	73.5	77	70	68.1	72.1
1	75	73.4	76.9	69.8	67.9	71.9
0	73.8	72.1	75.8	67.5	65.4	69.7

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 72 in Comoros, rising to 80.2 and 78.2 at 65, and to 86.4 and 85.7 at 80 — higher than the 73.8 and 67.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Comoros

Male

Female

1x

Age	Survival probability
	Bhutan			Comoros
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	0.1%	0.05%	0.15%
99	0.35%	0.18%	0.58%	0.16%	0.08%	0.25%
98	0.56%	0.3%	0.91%	0.25%	0.14%	0.39%
97	0.87%	0.49%	1.37%	0.4%	0.23%	0.61%
96	1.31%	0.77%	2.02%	0.61%	0.35%	0.92%
95	1.91%	1.17%	2.89%	0.9%	0.54%	1.34%
94	2.72%	1.73%	4.02%	1.3%	0.8%	1.91%
93	3.78%	2.48%	5.45%	1.83%	1.15%	2.65%
92	5.11%	3.46%	7.21%	2.52%	1.62%	3.59%
91	6.74%	4.71%	9.31%	3.4%	2.24%	4.75%
90	8.69%	6.25%	11.8%	4.48%	3.02%	6.18%
89	11%	8.1%	14.5%	5.79%	3.99%	7.87%
88	13.6%	10.3%	17.6%	7.35%	5.18%	9.84%
87	16.4%	12.7%	21%	9.16%	6.59%	12.1%
86	19.6%	15.5%	24.6%	11.2%	8.23%	14.6%
85	23%	18.5%	28.4%	13.5%	10.1%	17.4%
84	26.5%	21.7%	32.3%	16.1%	12.2%	20.4%
83	30.2%	25.1%	36.4%	18.8%	14.5%	23.5%
82	33.9%	28.5%	40.4%	21.6%	16.9%	26.8%
81	37.7%	32.1%	44.4%	24.6%	19.5%	30.2%
80	41.4%	35.7%	48.3%	27.7%	22.3%	33.7%
79	45%	39.2%	52%	30.9%	25.2%	37.1%
78	48.6%	42.7%	55.5%	34.1%	28.2%	40.6%
77	52%	46.2%	58.8%	37.3%	31.2%	44%
76	55.3%	49.6%	62%	40.6%	34.3%	47.3%
75	58.4%	52.8%	64.9%	43.7%	37.4%	50.5%
74	61.3%	55.9%	67.6%	46.8%	40.5%	53.6%
73	64.1%	58.9%	70.2%	49.7%	43.5%	56.5%
72	66.7%	61.8%	72.5%	52.6%	46.4%	59.2%
71	69.2%	64.5%	74.7%	55.3%	49.3%	61.8%
70	71.5%	67%	76.7%	57.9%	52.1%	64.2%
69	73.6%	69.4%	78.5%	60.3%	54.7%	66.4%
68	75.5%	71.6%	80.2%	62.6%	57.3%	68.4%
67	77.4%	73.7%	81.7%	64.8%	59.8%	70.3%
66	79%	75.6%	83%	66.9%	62.1%	72.1%
65	80.5%	77.4%	84.3%	68.8%	64.3%	73.7%
64	81.9%	79.1%	85.4%	70.6%	66.4%	75.3%
63	83.2%	80.6%	86.4%	72.3%	68.4%	76.7%
62	84.4%	82%	87.3%	73.9%	70.2%	78%
61	85.5%	83.3%	88.2%	75.4%	72%	79.2%
60	86.6%	84.6%	88.9%	76.8%	73.6%	80.3%
59	87.5%	85.7%	89.6%	78.1%	75.1%	81.3%
58	88.3%	86.7%	90.3%	79.3%	76.5%	82.3%
57	89.1%	87.7%	90.9%	80.4%	77.8%	83.1%
56	89.9%	88.5%	91.5%	81.4%	79%	84%
55	90.5%	89.3%	92%	82.4%	80.1%	84.7%
54	91.1%	90%	92.4%	83.2%	81.2%	85.5%
53	91.6%	90.6%	92.9%	84.1%	82.1%	86.1%
52	92.1%	91.2%	93.2%	84.8%	83%	86.8%
51	92.6%	91.7%	93.6%	85.5%	83.8%	87.3%
50	93%	92.2%	94%	86.2%	84.6%	87.9%
49	93.4%	92.6%	94.3%	86.8%	85.3%	88.4%
48	93.7%	93%	94.6%	87.4%	85.9%	88.9%
47	94%	93.3%	94.8%	87.9%	86.5%	89.3%
46	94.3%	93.7%	95.1%	88.4%	87%	89.7%
45	94.6%	93.9%	95.3%	88.8%	87.5%	90.1%
44	94.8%	94.2%	95.5%	89.2%	88%	90.5%
43	95%	94.4%	95.7%	89.6%	88.4%	90.8%
42	95.2%	94.6%	95.8%	90%	88.8%	91.1%
41	95.4%	94.8%	96%	90.3%	89.2%	91.4%
40	95.5%	95%	96.1%	90.6%	89.5%	91.7%
39	95.7%	95.1%	96.3%	90.9%	89.8%	92%
38	95.8%	95.3%	96.4%	91.2%	90.1%	92.2%
37	95.9%	95.4%	96.5%	91.4%	90.4%	92.4%
36	96.1%	95.5%	96.6%	91.6%	90.7%	92.7%
35	96.2%	95.7%	96.7%	91.9%	90.9%	92.9%
34	96.3%	95.8%	96.8%	92.1%	91.1%	93.1%
33	96.4%	95.9%	96.9%	92.3%	91.4%	93.2%
32	96.5%	96%	97%	92.5%	91.6%	93.4%
31	96.6%	96.1%	97.1%	92.7%	91.8%	93.6%
30	96.7%	96.2%	97.2%	92.8%	92%	93.7%
29	96.8%	96.3%	97.3%	93%	92.2%	93.9%
28	96.8%	96.4%	97.3%	93.2%	92.4%	94%
27	96.9%	96.5%	97.4%	93.4%	92.6%	94.2%
26	97%	96.6%	97.5%	93.5%	92.8%	94.3%
25	97.1%	96.7%	97.5%	93.7%	93%	94.4%
24	97.2%	96.8%	97.6%	93.8%	93.2%	94.5%
23	97.2%	96.8%	97.7%	94%	93.4%	94.7%
22	97.3%	96.9%	97.7%	94.2%	93.6%	94.8%
21	97.4%	97%	97.8%	94.3%	93.8%	94.9%
20	97.5%	97.1%	97.8%	94.5%	94%	95%
19	97.5%	97.2%	97.9%	94.6%	94.2%	95.1%
18	97.6%	97.3%	97.9%	94.8%	94.3%	95.2%
17	97.6%	97.4%	97.9%	94.9%	94.5%	95.3%
16	97.7%	97.4%	98%	95%	94.6%	95.4%
15	97.7%	97.5%	98%	95.1%	94.7%	95.5%
14	97.8%	97.5%	98%	95.2%	94.8%	95.6%
13	97.8%	97.5%	98.1%	95.3%	94.9%	95.6%
12	97.8%	97.6%	98.1%	95.3%	95%	95.7%
11	97.9%	97.6%	98.1%	95.4%	95%	95.7%
10	97.9%	97.6%	98.1%	95.4%	95.1%	95.8%
9	97.9%	97.7%	98.2%	95.5%	95.1%	95.8%
8	97.9%	97.7%	98.2%	95.6%	95.2%	95.9%
7	98%	97.7%	98.2%	95.6%	95.3%	96%
6	98%	97.8%	98.2%	95.7%	95.4%	96%
5	98.1%	97.8%	98.3%	95.8%	95.5%	96.1%
4	98.1%	97.9%	98.3%	96%	95.7%	96.3%
3	98.2%	98%	98.4%	96.1%	95.8%	96.4%
2	98.2%	98%	98.5%	96.4%	96.1%	96.7%
1	98.3%	98.1%	98.6%	96.7%	96.4%	97%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 76.8% in Comoros are expected to live past 60, 71.5% and 57.9% past 70, 41.4% and 27.7% past 80, and only 8.69% and 4.48% 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

Comoros

Male

Female

1x

Age	Probability of dying
	Bhutan			Comoros
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	41.5%	42.9%	40.8%
99	39.6%	42.2%	38%	39.7%	41.1%	38.9%
98	37.6%	40.3%	36%	38%	39.5%	37.2%
97	35.6%	38.3%	34%	36.2%	37.8%	35.4%
96	33.7%	36.3%	32%	34.4%	36.1%	33.5%
95	31.7%	34.3%	30%	32.6%	34.3%	31.6%
94	29.8%	32.3%	28.1%	30.7%	32.5%	29.8%
93	27.9%	30.3%	26.3%	29%	30.8%	28%
92	26.1%	28.4%	24.4%	27.3%	29.1%	26.2%
91	24.2%	26.5%	22.6%	25.7%	27.5%	24.6%
90	22.5%	24.6%	20.8%	24.2%	25.9%	23%
89	20.7%	22.8%	19.1%	22.7%	24.4%	21.5%
88	19.1%	21.1%	17.5%	21.2%	22.9%	20.1%
87	17.6%	19.4%	16%	19.8%	21.4%	18.6%
86	16.1%	17.8%	14.7%	18.4%	19.9%	17.3%
85	14.7%	16.2%	13.4%	17%	18.5%	15.9%
84	13.4%	14.8%	12.2%	15.7%	17.1%	14.6%
83	12.2%	13.4%	11.1%	14.4%	15.8%	13.4%
82	11%	12.2%	9.98%	13.3%	14.5%	12.3%
81	9.96%	11.1%	8.96%	12.2%	13.4%	11.2%
80	8.98%	10%	8.02%	11.2%	12.4%	10.2%
79	8.09%	9.09%	7.15%	10.3%	11.5%	9.34%
78	7.28%	8.24%	6.37%	9.43%	10.6%	8.51%
77	6.56%	7.47%	5.67%	8.64%	9.77%	7.73%
76	5.91%	6.78%	5.06%	7.9%	8.99%	7.01%
75	5.33%	6.15%	4.52%	7.21%	8.26%	6.35%
74	4.82%	5.59%	4.05%	6.56%	7.57%	5.72%
73	4.35%	5.07%	3.63%	5.96%	6.94%	5.15%
72	3.92%	4.61%	3.25%	5.41%	6.35%	4.63%
71	3.54%	4.18%	2.91%	4.91%	5.81%	4.15%
70	3.19%	3.79%	2.6%	4.46%	5.32%	3.72%
69	2.88%	3.44%	2.32%	4.06%	4.88%	3.34%
68	2.6%	3.11%	2.07%	3.69%	4.47%	3%
67	2.34%	2.82%	1.84%	3.37%	4.1%	2.71%
66	2.11%	2.55%	1.64%	3.08%	3.76%	2.45%
65	1.9%	2.31%	1.46%	2.82%	3.45%	2.22%
64	1.71%	2.09%	1.31%	2.58%	3.16%	2.02%
63	1.55%	1.9%	1.17%	2.36%	2.89%	1.84%
62	1.41%	1.73%	1.06%	2.15%	2.64%	1.67%
61	1.29%	1.58%	0.96%	1.97%	2.41%	1.52%
60	1.17%	1.44%	0.87%	1.8%	2.2%	1.39%
59	1.07%	1.31%	0.79%	1.64%	2.01%	1.26%
58	0.97%	1.19%	0.72%	1.5%	1.83%	1.16%
57	0.88%	1.08%	0.66%	1.38%	1.67%	1.06%
56	0.8%	0.97%	0.6%	1.26%	1.52%	0.98%
55	0.72%	0.87%	0.55%	1.16%	1.39%	0.91%
54	0.65%	0.78%	0.5%	1.07%	1.27%	0.84%
53	0.59%	0.7%	0.46%	0.98%	1.16%	0.78%
52	0.54%	0.63%	0.42%	0.9%	1.07%	0.72%
51	0.49%	0.56%	0.39%	0.83%	0.97%	0.67%
50	0.44%	0.51%	0.36%	0.76%	0.89%	0.62%
49	0.4%	0.46%	0.33%	0.7%	0.81%	0.58%
48	0.37%	0.42%	0.3%	0.64%	0.74%	0.54%
47	0.33%	0.38%	0.28%	0.59%	0.68%	0.5%
46	0.3%	0.34%	0.25%	0.54%	0.62%	0.46%
45	0.27%	0.3%	0.23%	0.5%	0.57%	0.43%
44	0.24%	0.27%	0.21%	0.46%	0.52%	0.4%
43	0.22%	0.24%	0.19%	0.43%	0.48%	0.37%
42	0.2%	0.22%	0.18%	0.39%	0.44%	0.35%
41	0.18%	0.2%	0.16%	0.37%	0.41%	0.32%
40	0.17%	0.18%	0.15%	0.34%	0.38%	0.3%
39	0.15%	0.16%	0.14%	0.32%	0.35%	0.28%
38	0.14%	0.15%	0.13%	0.3%	0.33%	0.27%
37	0.13%	0.14%	0.12%	0.28%	0.31%	0.25%
36	0.12%	0.13%	0.11%	0.26%	0.29%	0.23%
35	0.12%	0.13%	0.11%	0.25%	0.27%	0.22%
34	0.11%	0.12%	0.1%	0.23%	0.26%	0.21%
33	0.11%	0.11%	0.1%	0.22%	0.25%	0.19%
32	0.1%	0.11%	0.09%	0.21%	0.24%	0.18%
31	0.1%	0.1%	0.09%	0.2%	0.23%	0.18%
30	0.09%	0.1%	0.08%	0.19%	0.22%	0.17%
29	0.09%	0.1%	0.08%	0.19%	0.21%	0.16%
28	0.09%	0.1%	0.08%	0.18%	0.21%	0.15%
27	0.08%	0.1%	0.07%	0.18%	0.21%	0.15%
26	0.08%	0.1%	0.07%	0.18%	0.21%	0.14%
25	0.08%	0.1%	0.07%	0.17%	0.21%	0.13%
24	0.08%	0.1%	0.06%	0.17%	0.21%	0.13%
23	0.08%	0.1%	0.06%	0.17%	0.22%	0.13%
22	0.08%	0.1%	0.06%	0.17%	0.22%	0.12%
21	0.08%	0.1%	0.06%	0.17%	0.22%	0.12%
20	0.07%	0.09%	0.05%	0.17%	0.21%	0.12%
19	0.07%	0.09%	0.05%	0.16%	0.2%	0.12%
18	0.06%	0.08%	0.05%	0.15%	0.18%	0.11%
17	0.06%	0.07%	0.04%	0.13%	0.16%	0.1%
16	0.05%	0.06%	0.04%	0.11%	0.13%	0.09%
15	0.04%	0.05%	0.03%	0.1%	0.11%	0.08%
14	0.04%	0.04%	0.03%	0.08%	0.09%	0.07%
13	0.03%	0.04%	0.03%	0.07%	0.08%	0.06%
12	0.03%	0.03%	0.02%	0.06%	0.07%	0.06%
11	0.03%	0.03%	0.02%	0.06%	0.07%	0.06%
10	0.03%	0.03%	0.02%	0.06%	0.06%	0.05%
9	0.03%	0.03%	0.02%	0.06%	0.07%	0.06%
8	0.03%	0.04%	0.02%	0.07%	0.07%	0.06%
7	0.03%	0.04%	0.03%	0.08%	0.09%	0.07%
6	0.04%	0.04%	0.03%	0.09%	0.1%	0.09%
5	0.05%	0.05%	0.04%	0.12%	0.12%	0.11%
4	0.05%	0.06%	0.05%	0.14%	0.15%	0.14%
3	0.07%	0.07%	0.06%	0.18%	0.19%	0.18%
2	0.08%	0.08%	0.08%	0.24%	0.24%	0.23%
1	0.1%	0.1%	0.1%	0.31%	0.31%	0.31%
0	1.66%	1.86%	1.44%	3.33%	3.62%	3.03%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 3.33% in Comoros, 0.09% vs 0.19% at age 30, 1.17% vs 1.8% at 60, and 8.98% vs 11.2% at 80.

Death rate by age in Bhutan vs Comoros

Chart Table

Bhutan

Male

Female

Comoros

Male

Female

1x

Age	Death rate
	Bhutan			Comoros
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	0	0	0
99	137.5	76.2	220.6	62.7	34.9	96.2
98	209.6	121.7	326	96.7	55.5	146.3
97	309	187.5	467	144.4	85.4	215.2
96	439	278.9	647	209.1	127.4	307
95	606	401	868	293.5	184.3	423
94	811	558	1,131	400	259	567
93	1,054	753	1,431	532	354	740
92	1,331	984	1,759	689	472	940
91	1,633	1,249	2,102	873	614	1,168
90	1,952	1,541	2,447	1,082	782	1,420
89	2,275	1,849	2,779	1,313	974	1,692
88	2,591	2,162	3,089	1,560	1,186	1,973
87	2,886	2,466	3,368	1,814	1,411	2,255
86	3,150	2,749	3,608	2,065	1,641	2,523
85	3,375	2,998	3,803	2,304	1,867	2,768
84	3,551	3,206	3,943	2,519	2,081	2,981
83	3,674	3,367	4,022	2,707	2,279	3,156
82	3,741	3,482	4,033	2,867	2,460	3,292
81	3,754	3,550	3,979	2,998	2,623	3,389
80	3,718	3,576	3,867	3,101	2,766	3,447
79	3,643	3,564	3,714	3,175	2,888	3,468
78	3,536	3,521	3,533	3,219	2,983	3,452
77	3,409	3,451	3,336	3,229	3,050	3,401
76	3,267	3,358	3,135	3,205	3,085	3,317
75	3,113	3,248	2,935	3,150	3,090	3,204
74	2,953	3,125	2,738	3,068	3,065	3,066
73	2,787	2,990	2,545	2,964	3,017	2,909
72	2,618	2,846	2,356	2,845	2,949	2,740
71	2,449	2,696	2,171	2,716	2,866	2,563
70	2,281	2,541	1,992	2,582	2,773	2,387
69	2,119	2,386	1,820	2,446	2,670	2,216
68	1,961	2,230	1,657	2,314	2,562	2,055
67	1,809	2,077	1,503	2,185	2,450	1,905
66	1,664	1,929	1,361	2,060	2,335	1,767
65	1,528	1,788	1,231	1,939	2,217	1,640
64	1,404	1,656	1,115	1,820	2,097	1,521
63	1,293	1,534	1,012	1,704	1,976	1,409
62	1,193	1,421	922	1,591	1,856	1,304
61	1,101	1,317	842	1,483	1,736	1,205
60	1,015	1,218	772	1,379	1,620	1,112
59	935	1,124	709	1,281	1,507	1,027
58	859	1,033	652	1,190	1,400	951
57	787	943	600	1,106	1,299	882
56	719	857	551	1,027	1,204	821
55	655	775	506	955	1,116	767
54	595	699	466	887	1,034	718
53	542	631	429	824	956	672
52	494	571	396	765	884	629
51	451	518	366	709	816	588
50	412	471	339	656	753	549
49	377	428	313	606	694	511
48	343	388	288.2	560	639	476
47	312	350	264.6	518	587	443
46	282.8	315	242	479	541	413
45	255.5	283.2	220.8	443	498	385
44	230.7	254	201.4	411	459	359
43	208.8	228.2	184.2	382	424	336
42	189.6	205.7	169.1	355	393	315
41	173.2	186.5	156.2	331	365	295.6
40	159.2	170.2	145	310	340	277.8
39	147.1	156.5	135.1	289.9	318	261.2
38	136.8	144.9	126.3	271.8	298.1	245.5
37	127.7	135.2	118.3	255.2	280.1	230.7
36	119.9	126.9	110.9	239.9	263.9	216.8
35	113.1	119.9	104.2	226	249.4	203.8
34	107	113.8	98.1	213.6	236.6	191.9
33	101.7	108.5	92.7	202.7	225.4	181.3
32	97	103.9	88	193.3	216	172
31	93	100	83.9	185.4	208.2	163.8
30	89.5	96.8	80.2	178.9	202.2	156.6
29	86.6	94.4	76.9	173.7	197.9	149.9
28	84.2	92.9	73.9	169.5	195.4	143.7
27	82.4	92.3	70.9	166.3	194.4	137.7
26	81	92.6	68.1	164	195	132.1
25	80.1	93.6	65.3	162.7	196.8	127
24	79.3	94.7	62.5	162.1	199.4	122.8
23	78.5	95.7	59.9	162.1	202.2	119.7
22	77.4	95.9	57.3	162	204	117.4
21	75.5	94.7	54.6	161	203.6	115.7
20	72.4	91.5	51.6	157.5	198.8	113.6
19	67.8	85.7	48.2	150.4	188.3	110.2
18	61.8	77.7	44.2	139.2	171.8	104.6
17	54.7	68	39.9	124.3	150.5	96.7
16	47.4	58.1	35.5	107.8	127.6	87.1
15	40.6	49	31.3	91.8	106	77.1
14	34.9	41.5	27.7	78.2	88.2	67.9
13	30.7	36	24.8	67.9	75	60.5
12	27.9	32.5	22.8	61	66.5	55.4
11	26.4	30.8	21.6	57.5	62.1	52.7
10	26.2	30.6	21.3	57	61.4	52.4
9	27.2	31.9	22	59.5	64.3	54.7
8	29.2	34.5	23.7	65.4	70.7	59.9
7	32.7	38.4	26.7	75.1	81.2	68.8
6	37.6	43.7	31.2	89.6	96.6	82.4
5	44.3	50.3	37.9	110.2	117.9	102.3
4	53	58.5	47.2	138.8	146.7	130.7
3	64.3	68.3	60	177.9	185.1	170.4
2	78.6	80.1	77.1	230.3	235.4	225.1
1	96.8	94	99.8	300	301	299.3
0	1,655	1,861	1,440	3,328	3,618	3,032

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 0 in Comoros. The median age of death is 77.6 in Bhutan and 72.9 in Comoros, 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 Comoros more than their death rates.

Life expectancy in other countries

+ -

1x