Life Expectancy in Bhutan vs Mauritius (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Mauritius

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Mauritius
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.6	102.3	102.7
99	100.9	100.8	101	101.7	101.5	101.8
98	100	99.9	100.1	100.9	100.7	101
97	99.1	99	99.2	100.1	99.9	100.1
96	98.2	98.1	98.3	99.2	99.1	99.3
95	97.4	97.2	97.5	98.4	98.2	98.5
94	96.5	96.3	96.6	97.7	97.4	97.8
93	95.7	95.5	95.8	96.9	96.6	97
92	94.8	94.6	95	96.1	95.9	96.3
91	94	93.8	94.2	95.4	95.1	95.6
90	93.2	93	93.4	94.7	94.3	94.9
89	92.5	92.2	92.7	94	93.6	94.2
88	91.7	91.4	92	93.3	92.9	93.5
87	91	90.7	91.2	92.6	92.1	92.9
86	90.3	89.9	90.5	91.9	91.4	92.2
85	89.6	89.2	89.9	91.3	90.8	91.7
84	88.9	88.5	89.2	90.7	90.1	91.1
83	88.2	87.8	88.6	90.1	89.5	90.6
82	87.6	87.2	88	89.6	88.9	90.1
81	87	86.6	87.4	89.1	88.3	89.6
80	86.4	85.9	86.8	88.5	87.7	89.1
79	85.8	85.4	86.3	88	87.2	88.7
78	85.3	84.8	85.8	87.5	86.6	88.2
77	84.8	84.2	85.3	87	86.1	87.8
76	84.3	83.7	84.9	86.6	85.6	87.4
75	83.8	83.2	84.5	86.1	85.1	87
74	83.4	82.7	84.1	85.7	84.6	86.6
73	83	82.3	83.7	85.3	84.2	86.2
72	82.5	81.8	83.3	84.9	83.7	85.9
71	82.2	81.4	83	84.5	83.3	85.6
70	81.8	81	82.7	84.1	82.9	85.2
69	81.4	80.6	82.4	83.8	82.5	84.9
68	81.1	80.2	82.1	83.4	82.1	84.7
67	80.8	79.8	81.8	83.1	81.7	84.4
66	80.5	79.5	81.5	82.8	81.3	84.1
65	80.2	79.2	81.3	82.4	80.9	83.9
64	79.9	78.9	81.1	82.1	80.5	83.7
63	79.7	78.6	80.9	81.9	80.2	83.4
62	79.4	78.3	80.7	81.6	79.9	83.2
61	79.2	78	80.5	81.3	79.6	83
60	79	77.8	80.3	81.1	79.3	82.9
59	78.8	77.5	80.2	80.9	79	82.7
58	78.6	77.3	80	80.7	78.7	82.5
57	78.4	77.1	79.9	80.4	78.5	82.4
56	78.2	76.9	79.7	80.2	78.3	82.2
55	78	76.7	79.6	80	78	82.1
54	77.9	76.5	79.5	79.9	77.8	81.9
53	77.7	76.4	79.3	79.7	77.6	81.8
52	77.6	76.2	79.2	79.5	77.3	81.7
51	77.5	76.1	79.1	79.3	77.1	81.6
50	77.4	76	79	79.2	76.9	81.5
49	77.3	75.8	78.9	79	76.7	81.4
48	77.1	75.7	78.8	78.9	76.5	81.2
47	77	75.6	78.7	78.7	76.4	81.1
46	77	75.5	78.7	78.6	76.2	81
45	76.9	75.4	78.6	78.5	76.1	81
44	76.8	75.3	78.5	78.3	75.9	80.9
43	76.7	75.3	78.4	78.2	75.8	80.8
42	76.7	75.2	78.4	78.1	75.7	80.7
41	76.6	75.1	78.3	78	75.5	80.6
40	76.5	75.1	78.3	77.9	75.4	80.6
39	76.5	75	78.2	77.8	75.3	80.5
38	76.4	75	78.2	77.7	75.2	80.5
37	76.4	74.9	78.1	77.7	75.1	80.4
36	76.3	74.9	78.1	77.6	75	80.4
35	76.3	74.8	78	77.5	74.9	80.3
34	76.2	74.8	78	77.4	74.8	80.3
33	76.2	74.7	77.9	77.4	74.7	80.2
32	76.1	74.7	77.9	77.3	74.6	80.2
31	76.1	74.6	77.8	77.2	74.5	80.1
30	76	74.6	77.8	77.2	74.5	80.1
29	76	74.5	77.8	77.1	74.4	80.1
28	76	74.5	77.7	77.1	74.3	80
27	75.9	74.4	77.7	77	74.2	80
26	75.9	74.4	77.7	77	74.2	80
25	75.8	74.3	77.6	76.9	74.1	79.9
24	75.8	74.3	77.6	76.9	74	79.9
23	75.8	74.2	77.6	76.8	74	79.9
22	75.7	74.2	77.5	76.8	73.9	79.8
21	75.7	74.1	77.5	76.7	73.8	79.8
20	75.6	74.1	77.5	76.7	73.8	79.8
19	75.6	74	77.4	76.6	73.7	79.8
18	75.6	74	77.4	76.6	73.7	79.7
17	75.5	74	77.4	76.6	73.6	79.7
16	75.5	73.9	77.4	76.5	73.6	79.7
15	75.5	73.9	77.3	76.5	73.6	79.7
14	75.4	73.9	77.3	76.5	73.6	79.7
13	75.4	73.9	77.3	76.5	73.5	79.6
12	75.4	73.8	77.3	76.5	73.5	79.6
11	75.4	73.8	77.3	76.5	73.5	79.6
10	75.4	73.8	77.3	76.4	73.5	79.6
9	75.4	73.8	77.2	76.4	73.5	79.6
8	75.3	73.7	77.2	76.4	73.5	79.6
7	75.3	73.7	77.2	76.4	73.5	79.6
6	75.3	73.7	77.2	76.4	73.5	79.6
5	75.3	73.7	77.2	76.4	73.4	79.6
4	75.2	73.6	77.1	76.4	73.4	79.6
3	75.2	73.6	77.1	76.4	73.4	79.5
2	75.1	73.5	77	76.3	73.4	79.5
1	75	73.4	76.9	76.3	73.3	79.5
0	73.8	72.1	75.8	75.4	72.5	78.6

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 77.2 in Mauritius, rising to 80.2 and 82.4 at 65, and to 86.4 and 88.5 at 80 — higher than the 73.8 and 75.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Mauritius

Male

Female

1x

Age	Survival probability
	Bhutan			Mauritius
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	1.64%	0.95%	2.4%
99	0.35%	0.18%	0.58%	2.28%	1.33%	3.29%
98	0.56%	0.3%	0.91%	3.08%	1.83%	4.42%
97	0.87%	0.49%	1.37%	4.08%	2.47%	5.81%
96	1.31%	0.77%	2.02%	5.29%	3.26%	7.46%
95	1.91%	1.17%	2.89%	6.73%	4.23%	9.4%
94	2.72%	1.73%	4.02%	8.39%	5.38%	11.6%
93	3.78%	2.48%	5.45%	10.3%	6.74%	14.1%
92	5.11%	3.46%	7.21%	12.4%	8.3%	16.8%
91	6.74%	4.71%	9.31%	14.7%	10.1%	19.8%
90	8.69%	6.25%	11.8%	17.3%	12.1%	23%
89	11%	8.1%	14.5%	20.1%	14.3%	26.4%
88	13.6%	10.3%	17.6%	23%	16.7%	29.9%
87	16.4%	12.7%	21%	26.1%	19.3%	33.5%
86	19.6%	15.5%	24.6%	29.3%	22%	37.1%
85	23%	18.5%	28.4%	32.4%	24.8%	40.6%
84	26.5%	21.7%	32.3%	35.5%	27.6%	44%
83	30.2%	25.1%	36.4%	38.6%	30.4%	47.3%
82	33.9%	28.5%	40.4%	41.6%	33.3%	50.4%
81	37.7%	32.1%	44.4%	44.5%	36.2%	53.4%
80	41.4%	35.7%	48.3%	47.4%	39.1%	56.3%
79	45%	39.2%	52%	50.2%	42%	59.1%
78	48.6%	42.7%	55.5%	53%	44.8%	61.8%
77	52%	46.2%	58.8%	55.7%	47.6%	64.4%
76	55.3%	49.6%	62%	58.3%	50.4%	66.9%
75	58.4%	52.8%	64.9%	60.7%	53%	69.2%
74	61.3%	55.9%	67.6%	63.1%	55.4%	71.3%
73	64.1%	58.9%	70.2%	65.3%	57.8%	73.4%
72	66.7%	61.8%	72.5%	67.4%	60%	75.3%
71	69.2%	64.5%	74.7%	69.3%	62.2%	77.1%
70	71.5%	67%	76.7%	71.2%	64.3%	78.7%
69	73.6%	69.4%	78.5%	73%	66.3%	80.3%
68	75.5%	71.6%	80.2%	74.7%	68.3%	81.7%
67	77.4%	73.7%	81.7%	76.4%	70.2%	83%
66	79%	75.6%	83%	77.9%	72%	84.2%
65	80.5%	77.4%	84.3%	79.4%	73.8%	85.3%
64	81.9%	79.1%	85.4%	80.7%	75.4%	86.4%
63	83.2%	80.6%	86.4%	81.9%	77%	87.3%
62	84.4%	82%	87.3%	83.1%	78.4%	88.1%
61	85.5%	83.3%	88.2%	84.2%	79.8%	88.9%
60	86.6%	84.6%	88.9%	85.1%	81%	89.6%
59	87.5%	85.7%	89.6%	86%	82.1%	90.3%
58	88.3%	86.7%	90.3%	86.9%	83.2%	90.9%
57	89.1%	87.7%	90.9%	87.7%	84.1%	91.5%
56	89.9%	88.5%	91.5%	88.4%	85.1%	92%
55	90.5%	89.3%	92%	89.1%	86%	92.5%
54	91.1%	90%	92.4%	89.8%	86.8%	93%
53	91.6%	90.6%	92.9%	90.4%	87.7%	93.4%
52	92.1%	91.2%	93.2%	91%	88.4%	93.8%
51	92.6%	91.7%	93.6%	91.6%	89.2%	94.2%
50	93%	92.2%	94%	92.1%	89.9%	94.5%
49	93.4%	92.6%	94.3%	92.6%	90.5%	94.8%
48	93.7%	93%	94.6%	93%	91.1%	95.1%
47	94%	93.3%	94.8%	93.4%	91.6%	95.4%
46	94.3%	93.7%	95.1%	93.8%	92.1%	95.7%
45	94.6%	93.9%	95.3%	94.2%	92.6%	95.9%
44	94.8%	94.2%	95.5%	94.5%	93%	96.2%
43	95%	94.4%	95.7%	94.8%	93.4%	96.4%
42	95.2%	94.6%	95.8%	95.1%	93.7%	96.6%
41	95.4%	94.8%	96%	95.4%	94.1%	96.8%
40	95.5%	95%	96.1%	95.6%	94.4%	96.9%
39	95.7%	95.1%	96.3%	95.9%	94.7%	97.1%
38	95.8%	95.3%	96.4%	96.1%	95%	97.2%
37	95.9%	95.4%	96.5%	96.3%	95.3%	97.3%
36	96.1%	95.5%	96.6%	96.5%	95.6%	97.4%
35	96.2%	95.7%	96.7%	96.6%	95.8%	97.5%
34	96.3%	95.8%	96.8%	96.8%	96%	97.6%
33	96.4%	95.9%	96.9%	96.9%	96.2%	97.7%
32	96.5%	96%	97%	97.1%	96.4%	97.8%
31	96.6%	96.1%	97.1%	97.2%	96.6%	97.9%
30	96.7%	96.2%	97.2%	97.3%	96.7%	97.9%
29	96.8%	96.3%	97.3%	97.5%	96.9%	98%
28	96.8%	96.4%	97.3%	97.6%	97.1%	98.1%
27	96.9%	96.5%	97.4%	97.7%	97.2%	98.2%
26	97%	96.6%	97.5%	97.8%	97.3%	98.2%
25	97.1%	96.7%	97.5%	97.9%	97.5%	98.3%
24	97.2%	96.8%	97.6%	98%	97.6%	98.3%
23	97.2%	96.8%	97.7%	98.1%	97.7%	98.4%
22	97.3%	96.9%	97.7%	98.1%	97.9%	98.4%
21	97.4%	97%	97.8%	98.2%	98%	98.5%
20	97.5%	97.1%	97.8%	98.3%	98.1%	98.5%
19	97.5%	97.2%	97.9%	98.4%	98.2%	98.6%
18	97.6%	97.3%	97.9%	98.4%	98.3%	98.6%
17	97.6%	97.4%	97.9%	98.5%	98.4%	98.6%
16	97.7%	97.4%	98%	98.5%	98.4%	98.7%
15	97.7%	97.5%	98%	98.6%	98.5%	98.7%
14	97.8%	97.5%	98%	98.6%	98.5%	98.7%
13	97.8%	97.5%	98.1%	98.6%	98.5%	98.7%
12	97.8%	97.6%	98.1%	98.6%	98.5%	98.8%
11	97.9%	97.6%	98.1%	98.7%	98.5%	98.8%
10	97.9%	97.6%	98.1%	98.7%	98.6%	98.8%
9	97.9%	97.7%	98.2%	98.7%	98.6%	98.8%
8	97.9%	97.7%	98.2%	98.7%	98.6%	98.8%
7	98%	97.7%	98.2%	98.7%	98.6%	98.8%
6	98%	97.8%	98.2%	98.7%	98.6%	98.8%
5	98.1%	97.8%	98.3%	98.7%	98.7%	98.8%
4	98.1%	97.9%	98.3%	98.8%	98.7%	98.8%
3	98.2%	98%	98.4%	98.8%	98.7%	98.9%
2	98.2%	98%	98.5%	98.8%	98.8%	98.9%
1	98.3%	98.1%	98.6%	98.9%	98.8%	99%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 85.1% in Mauritius are expected to live past 60, 71.5% and 71.2% past 70, 41.4% and 47.4% past 80, and only 8.69% and 17.3% 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

Mauritius

Male

Female

1x

Age	Probability of dying
	Bhutan			Mauritius
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	29.4%	30.3%	28.9%
99	39.6%	42.2%	38%	27.8%	28.8%	27.3%
98	37.6%	40.3%	36%	26.1%	27.3%	25.5%
97	35.6%	38.3%	34%	24.5%	25.8%	23.8%
96	33.7%	36.3%	32%	22.9%	24.3%	22.2%
95	31.7%	34.3%	30%	21.3%	22.9%	20.6%
94	29.8%	32.3%	28.1%	19.8%	21.5%	19.1%
93	27.9%	30.3%	26.3%	18.4%	20.1%	17.6%
92	26.1%	28.4%	24.4%	17.1%	18.8%	16.2%
91	24.2%	26.5%	22.6%	15.9%	17.6%	15%
90	22.5%	24.6%	20.8%	14.8%	16.6%	13.9%
89	20.7%	22.8%	19.1%	13.8%	15.5%	12.8%
88	19.1%	21.1%	17.5%	12.8%	14.5%	11.8%
87	17.6%	19.4%	16%	11.8%	13.4%	10.7%
86	16.1%	17.8%	14.7%	10.7%	12.3%	9.68%
85	14.7%	16.2%	13.4%	9.72%	11.2%	8.67%
84	13.4%	14.8%	12.2%	8.77%	10.2%	7.74%
83	12.2%	13.4%	11.1%	7.92%	9.36%	6.92%
82	11%	12.2%	9.98%	7.21%	8.61%	6.22%
81	9.96%	11.1%	8.96%	6.61%	7.96%	5.64%
80	8.98%	10%	8.02%	6.1%	7.4%	5.15%
79	8.09%	9.09%	7.15%	5.65%	6.89%	4.73%
78	7.28%	8.24%	6.37%	5.23%	6.39%	4.35%
77	6.56%	7.47%	5.67%	4.83%	5.89%	4%
76	5.91%	6.78%	5.06%	4.43%	5.39%	3.66%
75	5.33%	6.15%	4.52%	4.04%	4.9%	3.34%
74	4.82%	5.59%	4.05%	3.69%	4.45%	3.04%
73	4.35%	5.07%	3.63%	3.37%	4.06%	2.77%
72	3.92%	4.61%	3.25%	3.09%	3.73%	2.53%
71	3.54%	4.18%	2.91%	2.85%	3.47%	2.31%
70	3.19%	3.79%	2.6%	2.65%	3.25%	2.11%
69	2.88%	3.44%	2.32%	2.47%	3.07%	1.93%
68	2.6%	3.11%	2.07%	2.3%	2.9%	1.76%
67	2.34%	2.82%	1.84%	2.14%	2.73%	1.6%
66	2.11%	2.55%	1.64%	1.97%	2.56%	1.44%
65	1.9%	2.31%	1.46%	1.82%	2.38%	1.3%
64	1.71%	2.09%	1.31%	1.67%	2.2%	1.17%
63	1.55%	1.9%	1.17%	1.52%	2.01%	1.06%
62	1.41%	1.73%	1.06%	1.39%	1.83%	0.96%
61	1.29%	1.58%	0.96%	1.26%	1.66%	0.88%
60	1.17%	1.44%	0.87%	1.15%	1.51%	0.8%
59	1.07%	1.31%	0.79%	1.05%	1.37%	0.74%
58	0.97%	1.19%	0.72%	0.97%	1.26%	0.68%
57	0.88%	1.08%	0.66%	0.9%	1.17%	0.63%
56	0.8%	0.97%	0.6%	0.84%	1.1%	0.58%
55	0.72%	0.87%	0.55%	0.79%	1.04%	0.53%
54	0.65%	0.78%	0.5%	0.74%	0.99%	0.49%
53	0.59%	0.7%	0.46%	0.7%	0.94%	0.45%
52	0.54%	0.63%	0.42%	0.65%	0.89%	0.42%
51	0.49%	0.56%	0.39%	0.61%	0.83%	0.39%
50	0.44%	0.51%	0.36%	0.57%	0.77%	0.36%
49	0.4%	0.46%	0.33%	0.53%	0.71%	0.34%
48	0.37%	0.42%	0.3%	0.48%	0.64%	0.32%
47	0.33%	0.38%	0.28%	0.45%	0.59%	0.3%
46	0.3%	0.34%	0.25%	0.41%	0.53%	0.28%
45	0.27%	0.3%	0.23%	0.37%	0.48%	0.26%
44	0.24%	0.27%	0.21%	0.34%	0.44%	0.24%
43	0.22%	0.24%	0.19%	0.32%	0.41%	0.22%
42	0.2%	0.22%	0.18%	0.3%	0.39%	0.2%
41	0.18%	0.2%	0.16%	0.28%	0.37%	0.18%
40	0.17%	0.18%	0.15%	0.27%	0.36%	0.16%
39	0.15%	0.16%	0.14%	0.25%	0.34%	0.15%
38	0.14%	0.15%	0.13%	0.23%	0.32%	0.13%
37	0.13%	0.14%	0.12%	0.21%	0.3%	0.12%
36	0.12%	0.13%	0.11%	0.2%	0.27%	0.11%
35	0.12%	0.13%	0.11%	0.18%	0.24%	0.1%
34	0.11%	0.12%	0.1%	0.16%	0.22%	0.1%
33	0.11%	0.11%	0.1%	0.15%	0.2%	0.09%
32	0.1%	0.11%	0.09%	0.14%	0.18%	0.09%
31	0.1%	0.1%	0.09%	0.13%	0.17%	0.08%
30	0.09%	0.1%	0.08%	0.13%	0.17%	0.08%
29	0.09%	0.1%	0.08%	0.12%	0.17%	0.07%
28	0.09%	0.1%	0.08%	0.12%	0.16%	0.07%
27	0.08%	0.1%	0.07%	0.11%	0.16%	0.07%
26	0.08%	0.1%	0.07%	0.11%	0.15%	0.06%
25	0.08%	0.1%	0.07%	0.1%	0.14%	0.06%
24	0.08%	0.1%	0.06%	0.09%	0.13%	0.06%
23	0.08%	0.1%	0.06%	0.09%	0.13%	0.05%
22	0.08%	0.1%	0.06%	0.09%	0.12%	0.05%
21	0.08%	0.1%	0.06%	0.08%	0.12%	0.05%
20	0.07%	0.09%	0.05%	0.08%	0.11%	0.04%
19	0.07%	0.09%	0.05%	0.07%	0.11%	0.04%
18	0.06%	0.08%	0.05%	0.07%	0.09%	0.04%
17	0.06%	0.07%	0.04%	0.06%	0.08%	0.03%
16	0.05%	0.06%	0.04%	0.04%	0.06%	0.03%
15	0.04%	0.05%	0.03%	0.03%	0.04%	0.03%
14	0.04%	0.04%	0.03%	0.03%	0.03%	0.02%
13	0.03%	0.04%	0.03%	0.02%	0.02%	0.02%
12	0.03%	0.03%	0.02%	0.02%	0.02%	0.02%
11	0.03%	0.03%	0.02%	0.02%	0.02%	0.01%
10	0.03%	0.03%	0.02%	0.01%	0.02%	0.01%
9	0.03%	0.03%	0.02%	0.01%	0.02%	0.01%
8	0.03%	0.04%	0.02%	0.01%	0.02%	0.009%
7	0.03%	0.04%	0.03%	0.01%	0.02%	0.01%
6	0.04%	0.04%	0.03%	0.02%	0.02%	0.01%
5	0.05%	0.05%	0.04%	0.02%	0.02%	0.01%
4	0.05%	0.06%	0.05%	0.02%	0.03%	0.02%
3	0.07%	0.07%	0.06%	0.03%	0.04%	0.03%
2	0.08%	0.08%	0.08%	0.04%	0.05%	0.04%
1	0.1%	0.1%	0.1%	0.06%	0.06%	0.06%
0	1.66%	1.86%	1.44%	1.1%	1.18%	1.02%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 1.1% in Mauritius, 0.09% vs 0.13% at age 30, 1.17% vs 1.15% at 60, and 8.98% vs 6.1% at 80.

Death rate by age in Bhutan vs Mauritius

Chart Table

Bhutan

Male

Female

Mauritius

Male

Female

1x

Age	Death rate
	Bhutan			Mauritius
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	412	218.2	619
99	137.5	76.2	220.6	632	384	898
98	209.6	121.7	326	805	500	1,128
97	309	187.5	467	999	637	1,383
96	439	278.9	647	1,212	793	1,656
95	606	401	868	1,436	967	1,937
94	811	558	1,131	1,664	1,155	2,212
93	1,054	753	1,431	1,890	1,353	2,475
92	1,331	984	1,759	2,118	1,561	2,730
91	1,633	1,249	2,102	2,346	1,777	2,974
90	1,952	1,541	2,447	2,569	1,998	3,197
89	2,275	1,849	2,779	2,776	2,215	3,387
88	2,591	2,162	3,089	2,952	2,414	3,526
87	2,886	2,466	3,368	3,077	2,581	3,596
86	3,150	2,749	3,608	3,142	2,703	3,591
85	3,375	2,998	3,803	3,149	2,783	3,521
84	3,551	3,206	3,943	3,114	2,828	3,408
83	3,674	3,367	4,022	3,056	2,851	3,273
82	3,741	3,482	4,033	2,996	2,867	3,139
81	3,754	3,550	3,979	2,940	2,881	3,015
80	3,718	3,576	3,867	2,890	2,891	2,902
79	3,643	3,564	3,714	2,839	2,890	2,798
78	3,536	3,521	3,533	2,774	2,864	2,691
77	3,409	3,451	3,336	2,689	2,805	2,576
76	3,267	3,358	3,135	2,581	2,712	2,448
75	3,113	3,248	2,935	2,457	2,594	2,311
74	2,953	3,125	2,738	2,326	2,467	2,171
73	2,787	2,990	2,545	2,199	2,346	2,033
72	2,618	2,846	2,356	2,082	2,241	1,902
71	2,449	2,696	2,171	1,979	2,156	1,778
70	2,281	2,541	1,992	1,888	2,089	1,661
69	2,119	2,386	1,820	1,803	2,034	1,548
68	1,961	2,230	1,657	1,718	1,979	1,436
67	1,809	2,077	1,503	1,631	1,917	1,325
66	1,664	1,929	1,361	1,538	1,843	1,215
65	1,528	1,788	1,231	1,442	1,756	1,110
64	1,404	1,656	1,115	1,345	1,658	1,013
63	1,293	1,534	1,012	1,248	1,550	926
62	1,193	1,421	922	1,153	1,438	849
61	1,101	1,317	842	1,062	1,326	780
60	1,015	1,218	772	979	1,221	720
59	935	1,124	709	906	1,128	667
58	859	1,033	652	842	1,050	619
57	787	943	600	788	987	574
56	719	857	551	742	937	532
55	655	775	506	702	896	493
54	595	699	466	665	860	457
53	542	631	429	630	825	423
52	494	571	396	595	785	393
51	451	518	366	559	740	367
50	412	471	339	523	690	344
49	377	428	313	487	639	323
48	343	388	288.2	451	587	305
47	312	350	264.6	416	536	287.2
46	282.8	315	242	383	488	270.1
45	255.5	283.2	220.8	353	444	252.8
44	230.7	254	201.4	326	409	234.6
43	208.8	228.2	184.2	303	382	215.4
42	189.6	205.7	169.1	284	363	195.6
41	173.2	186.5	156.2	267.8	349	176
40	159.2	170.2	145	253.6	338	157.6
39	147.1	156.5	135.1	239.3	325	141.2
38	136.8	144.9	126.3	223.8	309	127.2
37	127.7	135.2	118.3	206.5	286.3	115.8
36	119.9	126.9	110.9	188.4	260.4	106.8
35	113.1	119.9	104.2	171.2	234.3	100
34	107	113.8	98.1	156.2	210.8	94.6
33	101.7	108.5	92.7	143.9	191.6	90.3
32	97	103.9	88	134.4	177.6	86.1
31	93	100	83.9	127.5	168.4	81.9
30	89.5	96.8	80.2	122.5	163.2	77.6
29	86.6	94.4	76.9	118.8	160.3	73.4
28	84.2	92.9	73.9	114.9	156.9	69.4
27	82.4	92.3	70.9	110.1	151.8	65.6
26	81	92.6	68.1	104.4	144.4	62.1
25	80.1	93.6	65.3	98.4	136.3	58.9
24	79.3	94.7	62.5	93	129.1	55.7
23	78.5	95.7	59.9	88.5	123.8	52.6
22	77.4	95.9	57.3	84.9	119.8	49.5
21	75.5	94.7	54.6	81.5	116.5	46.6
20	72.4	91.5	51.6	77.9	112.4	43.7
19	67.8	85.7	48.2	72.8	105.4	40.9
18	61.8	77.7	44.2	64.9	92.8	37.8
17	54.7	68	39.9	54.6	75.7	34.3
16	47.4	58.1	35.5	43.5	57.1	30.5
15	40.6	49	31.3	34	41.5	26.7
14	34.9	41.5	27.7	26.6	30.1	23.2
13	30.7	36	24.8	21.4	22.9	19.9
12	27.9	32.5	22.8	17.6	18.5	16.7
11	26.4	30.8	21.6	14.9	16.1	13.7
10	26.2	30.6	21.3	13.2	15	11.3
9	27.2	31.9	22	12.4	15	9.77
8	29.2	34.5	23.7	12.5	15.9	9.22
7	32.7	38.4	26.7	13.5	17.5	9.59
6	37.6	43.7	31.2	15.4	20.1	11
5	44.3	50.3	37.9	18.5	23.7	13.7
4	53	58.5	47.2	23.5	28.7	18.4
3	64.3	68.3	60	31.1	35.7	26.4
2	78.6	80.1	77.1	42.9	45.6	40.1
1	96.8	94	99.8	61.6	59.5	63.9
0	1,655	1,861	1,440	1,101	1,178	1,021

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 85 in Mauritius. The median age of death is 77.6 in Bhutan and 79.1 in Mauritius, 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 Mauritius more than their death rates.

Life expectancy in other countries

+ -

1x