Life Expectancy in Bhutan vs Singapore (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Singapore

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Singapore
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.7	102.3	102.9
99	100.9	100.8	101	101.9	101.5	102.1
98	100	99.9	100.1	101.1	100.7	101.3
97	99.1	99	99.2	100.3	99.9	100.5
96	98.2	98.1	98.3	99.6	99.1	99.8
95	97.4	97.2	97.5	98.8	98.3	99
94	96.5	96.3	96.6	98.1	97.6	98.3
93	95.7	95.5	95.8	97.4	96.8	97.7
92	94.8	94.6	95	96.7	96.1	97
91	94	93.8	94.2	96.1	95.4	96.4
90	93.2	93	93.4	95.5	94.7	95.8
89	92.5	92.2	92.7	94.8	94.1	95.3
88	91.7	91.4	92	94.3	93.5	94.7
87	91	90.7	91.2	93.7	92.9	94.2
86	90.3	89.9	90.5	93.2	92.3	93.7
85	89.6	89.2	89.9	92.7	91.7	93.3
84	88.9	88.5	89.2	92.2	91.2	92.9
83	88.2	87.8	88.6	91.7	90.7	92.5
82	87.6	87.2	88	91.3	90.2	92.1
81	87	86.6	87.4	90.9	89.8	91.7
80	86.4	85.9	86.8	90.5	89.3	91.4
79	85.8	85.4	86.3	90.1	88.9	91.1
78	85.3	84.8	85.8	89.8	88.5	90.8
77	84.8	84.2	85.3	89.5	88.1	90.5
76	84.3	83.7	84.9	89.1	87.7	90.3
75	83.8	83.2	84.5	88.8	87.4	90.1
74	83.4	82.7	84.1	88.6	87.1	89.8
73	83	82.3	83.7	88.3	86.7	89.7
72	82.5	81.8	83.3	88.1	86.4	89.5
71	82.2	81.4	83	87.8	86.1	89.3
70	81.8	81	82.7	87.6	85.9	89.2
69	81.4	80.6	82.4	87.4	85.6	89
68	81.1	80.2	82.1	87.2	85.4	88.9
67	80.8	79.8	81.8	87	85.2	88.7
66	80.5	79.5	81.5	86.9	85	88.6
65	80.2	79.2	81.3	86.7	84.8	88.5
64	79.9	78.9	81.1	86.6	84.6	88.4
63	79.7	78.6	80.9	86.4	84.4	88.3
62	79.4	78.3	80.7	86.3	84.3	88.2
61	79.2	78	80.5	86.2	84.1	88.1
60	79	77.8	80.3	86	84	88
59	78.8	77.5	80.2	85.9	83.8	87.9
58	78.6	77.3	80	85.8	83.7	87.9
57	78.4	77.1	79.9	85.7	83.6	87.8
56	78.2	76.9	79.7	85.6	83.5	87.7
55	78	76.7	79.6	85.5	83.3	87.6
54	77.9	76.5	79.5	85.4	83.2	87.6
53	77.7	76.4	79.3	85.4	83.2	87.5
52	77.6	76.2	79.2	85.3	83.1	87.5
51	77.5	76.1	79.1	85.2	83	87.4
50	77.4	76	79	85.2	82.9	87.4
49	77.3	75.8	78.9	85.1	82.8	87.3
48	77.1	75.7	78.8	85	82.8	87.3
47	77	75.6	78.7	85	82.7	87.2
46	77	75.5	78.7	85	82.7	87.2
45	76.9	75.4	78.6	84.9	82.6	87.2
44	76.8	75.3	78.5	84.9	82.6	87.1
43	76.7	75.3	78.4	84.8	82.5	87.1
42	76.7	75.2	78.4	84.8	82.5	87.1
41	76.6	75.1	78.3	84.8	82.4	87.1
40	76.5	75.1	78.3	84.7	82.4	87.1
39	76.5	75	78.2	84.7	82.4	87
38	76.4	75	78.2	84.7	82.4	87
37	76.4	74.9	78.1	84.7	82.3	87
36	76.3	74.9	78.1	84.7	82.3	87
35	76.3	74.8	78	84.6	82.3	87
34	76.2	74.8	78	84.6	82.3	87
33	76.2	74.7	77.9	84.6	82.2	87
32	76.1	74.7	77.9	84.6	82.2	86.9
31	76.1	74.6	77.8	84.6	82.2	86.9
30	76	74.6	77.8	84.5	82.2	86.9
29	76	74.5	77.8	84.5	82.2	86.9
28	76	74.5	77.7	84.5	82.1	86.9
27	75.9	74.4	77.7	84.5	82.1	86.9
26	75.9	74.4	77.7	84.5	82.1	86.9
25	75.8	74.3	77.6	84.5	82.1	86.9
24	75.8	74.3	77.6	84.5	82.1	86.9
23	75.8	74.2	77.6	84.5	82.1	86.9
22	75.7	74.2	77.5	84.4	82	86.9
21	75.7	74.1	77.5	84.4	82	86.8
20	75.6	74.1	77.5	84.4	82	86.8
19	75.6	74	77.4	84.4	82	86.8
18	75.6	74	77.4	84.4	82	86.8
17	75.5	74	77.4	84.4	82	86.8
16	75.5	73.9	77.4	84.4	81.9	86.8
15	75.5	73.9	77.3	84.4	81.9	86.8
14	75.4	73.9	77.3	84.3	81.9	86.8
13	75.4	73.9	77.3	84.3	81.9	86.8
12	75.4	73.8	77.3	84.3	81.9	86.8
11	75.4	73.8	77.3	84.3	81.9	86.8
10	75.4	73.8	77.3	84.3	81.9	86.8
9	75.4	73.8	77.2	84.3	81.9	86.8
8	75.3	73.7	77.2	84.3	81.9	86.8
7	75.3	73.7	77.2	84.3	81.9	86.8
6	75.3	73.7	77.2	84.3	81.9	86.8
5	75.3	73.7	77.2	84.3	81.9	86.8
4	75.2	73.6	77.1	84.3	81.9	86.8
3	75.2	73.6	77.1	84.3	81.9	86.7
2	75.1	73.5	77	84.3	81.8	86.7
1	75	73.4	76.9	84.3	81.8	86.7
0	73.8	72.1	75.8	84.1	81.7	86.6

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 84.5 in Singapore, rising to 80.2 and 86.7 at 65, and to 86.4 and 90.5 at 80 — higher than the 73.8 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Singapore

Male

Female

1x

Age	Survival probability
	Bhutan			Singapore
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	4.99%	2.55%	7.25%
99	0.35%	0.18%	0.58%	6.71%	3.6%	9.59%
98	0.56%	0.3%	0.91%	8.78%	4.95%	12.4%
97	0.87%	0.49%	1.37%	11.2%	6.62%	15.5%
96	1.31%	0.77%	2.02%	14%	8.64%	19.1%
95	1.91%	1.17%	2.89%	17.1%	11%	22.9%
94	2.72%	1.73%	4.02%	20.5%	13.7%	27%
93	3.78%	2.48%	5.45%	24.2%	16.7%	31.3%
92	5.11%	3.46%	7.21%	28%	20%	35.7%
91	6.74%	4.71%	9.31%	32%	23.6%	40.2%
90	8.69%	6.25%	11.8%	36.1%	27.3%	44.6%
89	11%	8.1%	14.5%	40.2%	31.2%	49%
88	13.6%	10.3%	17.6%	44.2%	35.1%	53.2%
87	16.4%	12.7%	21%	48.2%	39%	57.2%
86	19.6%	15.5%	24.6%	52%	42.9%	61%
85	23%	18.5%	28.4%	55.6%	46.7%	64.5%
84	26.5%	21.7%	32.3%	59.1%	50.4%	67.8%
83	30.2%	25.1%	36.4%	62.4%	54%	70.9%
82	33.9%	28.5%	40.4%	65.5%	57.4%	73.7%
81	37.7%	32.1%	44.4%	68.3%	60.6%	76.3%
80	41.4%	35.7%	48.3%	71%	63.6%	78.6%
79	45%	39.2%	52%	73.5%	66.5%	80.7%
78	48.6%	42.7%	55.5%	75.7%	69.1%	82.6%
77	52%	46.2%	58.8%	77.8%	71.6%	84.3%
76	55.3%	49.6%	62%	79.8%	74%	85.8%
75	58.4%	52.8%	64.9%	81.5%	76.2%	87.1%
74	61.3%	55.9%	67.6%	83.2%	78.2%	88.3%
73	64.1%	58.9%	70.2%	84.6%	80.1%	89.4%
72	66.7%	61.8%	72.5%	86%	81.9%	90.3%
71	69.2%	64.5%	74.7%	87.2%	83.4%	91.2%
70	71.5%	67%	76.7%	88.3%	84.9%	91.9%
69	73.6%	69.4%	78.5%	89.3%	86.2%	92.6%
68	75.5%	71.6%	80.2%	90.2%	87.4%	93.2%
67	77.4%	73.7%	81.7%	91%	88.4%	93.8%
66	79%	75.6%	83%	91.8%	89.4%	94.3%
65	80.5%	77.4%	84.3%	92.4%	90.3%	94.7%
64	81.9%	79.1%	85.4%	93.1%	91.1%	95.2%
63	83.2%	80.6%	86.4%	93.7%	91.9%	95.6%
62	84.4%	82%	87.3%	94.2%	92.6%	95.9%
61	85.5%	83.3%	88.2%	94.7%	93.2%	96.2%
60	86.6%	84.6%	88.9%	95.1%	93.8%	96.5%
59	87.5%	85.7%	89.6%	95.5%	94.3%	96.8%
58	88.3%	86.7%	90.3%	95.9%	94.8%	97.1%
57	89.1%	87.7%	90.9%	96.3%	95.3%	97.3%
56	89.9%	88.5%	91.5%	96.6%	95.7%	97.6%
55	90.5%	89.3%	92%	96.9%	96%	97.8%
54	91.1%	90%	92.4%	97.1%	96.4%	98%
53	91.6%	90.6%	92.9%	97.4%	96.7%	98.1%
52	92.1%	91.2%	93.2%	97.6%	97%	98.3%
51	92.6%	91.7%	93.6%	97.8%	97.2%	98.4%
50	93%	92.2%	94%	98%	97.4%	98.6%
49	93.4%	92.6%	94.3%	98.1%	97.6%	98.7%
48	93.7%	93%	94.6%	98.3%	97.8%	98.8%
47	94%	93.3%	94.8%	98.4%	98%	98.9%
46	94.3%	93.7%	95.1%	98.5%	98.1%	99%
45	94.6%	93.9%	95.3%	98.6%	98.2%	99%
44	94.8%	94.2%	95.5%	98.7%	98.4%	99.1%
43	95%	94.4%	95.7%	98.8%	98.5%	99.2%
42	95.2%	94.6%	95.8%	98.9%	98.6%	99.2%
41	95.4%	94.8%	96%	98.9%	98.7%	99.3%
40	95.5%	95%	96.1%	99%	98.8%	99.3%
39	95.7%	95.1%	96.3%	99.1%	98.8%	99.3%
38	95.8%	95.3%	96.4%	99.1%	98.9%	99.4%
37	95.9%	95.4%	96.5%	99.2%	98.9%	99.4%
36	96.1%	95.5%	96.6%	99.2%	99%	99.4%
35	96.2%	95.7%	96.7%	99.2%	99.1%	99.5%
34	96.3%	95.8%	96.8%	99.3%	99.1%	99.5%
33	96.4%	95.9%	96.9%	99.3%	99.1%	99.5%
32	96.5%	96%	97%	99.3%	99.2%	99.5%
31	96.6%	96.1%	97.1%	99.4%	99.2%	99.5%
30	96.7%	96.2%	97.2%	99.4%	99.3%	99.6%
29	96.8%	96.3%	97.3%	99.4%	99.3%	99.6%
28	96.8%	96.4%	97.3%	99.5%	99.3%	99.6%
27	96.9%	96.5%	97.4%	99.5%	99.4%	99.6%
26	97%	96.6%	97.5%	99.5%	99.4%	99.6%
25	97.1%	96.7%	97.5%	99.5%	99.4%	99.6%
24	97.2%	96.8%	97.6%	99.6%	99.5%	99.7%
23	97.2%	96.8%	97.7%	99.6%	99.5%	99.7%
22	97.3%	96.9%	97.7%	99.6%	99.5%	99.7%
21	97.4%	97%	97.8%	99.6%	99.5%	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%	99.6%	99.7%
16	97.7%	97.4%	98%	99.7%	99.7%	99.8%
15	97.7%	97.5%	98%	99.7%	99.7%	99.8%
14	97.8%	97.5%	98%	99.7%	99.7%	99.8%
13	97.8%	97.5%	98.1%	99.7%	99.7%	99.8%
12	97.8%	97.6%	98.1%	99.7%	99.7%	99.8%
11	97.9%	97.6%	98.1%	99.8%	99.7%	99.8%
10	97.9%	97.6%	98.1%	99.8%	99.7%	99.8%
9	97.9%	97.7%	98.2%	99.8%	99.7%	99.8%
8	97.9%	97.7%	98.2%	99.8%	99.7%	99.8%
7	98%	97.7%	98.2%	99.8%	99.7%	99.8%
6	98%	97.8%	98.2%	99.8%	99.8%	99.8%
5	98.1%	97.8%	98.3%	99.8%	99.8%	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%	99.9%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 95.1% in Singapore are expected to live past 60, 71.5% and 88.3% past 70, 41.4% and 71% past 80, and only 8.69% and 36.1% 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

Singapore

Male

Female

1x

Age	Probability of dying
	Bhutan			Singapore
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	27.4%	31.2%	26.3%
99	39.6%	42.2%	38%	25.6%	29.3%	24.5%
98	37.6%	40.3%	36%	23.6%	27.2%	22.4%
97	35.6%	38.3%	34%	21.7%	25.3%	20.4%
96	33.7%	36.3%	32%	19.9%	23.3%	18.6%
95	31.7%	34.3%	30%	18.2%	21.4%	16.8%
94	29.8%	32.3%	28.1%	16.6%	19.7%	15.2%
93	27.9%	30.3%	26.3%	15.1%	18.1%	13.7%
92	26.1%	28.4%	24.4%	13.8%	16.6%	12.4%
91	24.2%	26.5%	22.6%	12.5%	15.1%	11.1%
90	22.5%	24.6%	20.8%	11.3%	13.7%	9.95%
89	20.7%	22.8%	19.1%	10.2%	12.4%	8.88%
88	19.1%	21.1%	17.5%	9.15%	11.2%	7.9%
87	17.6%	19.4%	16%	8.18%	10%	7.02%
86	16.1%	17.8%	14.7%	7.32%	9.04%	6.22%
85	14.7%	16.2%	13.4%	6.55%	8.13%	5.51%
84	13.4%	14.8%	12.2%	5.87%	7.32%	4.87%
83	12.2%	13.4%	11.1%	5.27%	6.58%	4.31%
82	11%	12.2%	9.98%	4.71%	5.91%	3.8%
81	9.96%	11.1%	8.96%	4.2%	5.31%	3.35%
80	8.98%	10%	8.02%	3.75%	4.77%	2.95%
79	8.09%	9.09%	7.15%	3.35%	4.29%	2.6%
78	7.28%	8.24%	6.37%	3%	3.87%	2.28%
77	6.56%	7.47%	5.67%	2.69%	3.5%	2.01%
76	5.91%	6.78%	5.06%	2.42%	3.17%	1.76%
75	5.33%	6.15%	4.52%	2.17%	2.88%	1.54%
74	4.82%	5.59%	4.05%	1.95%	2.61%	1.35%
73	4.35%	5.07%	3.63%	1.75%	2.36%	1.19%
72	3.92%	4.61%	3.25%	1.56%	2.12%	1.05%
71	3.54%	4.18%	2.91%	1.39%	1.9%	0.93%
70	3.19%	3.79%	2.6%	1.24%	1.7%	0.83%
69	2.88%	3.44%	2.32%	1.12%	1.51%	0.74%
68	2.6%	3.11%	2.07%	1%	1.35%	0.66%
67	2.34%	2.82%	1.84%	0.9%	1.21%	0.59%
66	2.11%	2.55%	1.64%	0.82%	1.09%	0.54%
65	1.9%	2.31%	1.46%	0.74%	0.99%	0.49%
64	1.71%	2.09%	1.31%	0.68%	0.9%	0.44%
63	1.55%	1.9%	1.17%	0.62%	0.82%	0.41%
62	1.41%	1.73%	1.06%	0.56%	0.75%	0.37%
61	1.29%	1.58%	0.96%	0.52%	0.68%	0.34%
60	1.17%	1.44%	0.87%	0.47%	0.62%	0.32%
59	1.07%	1.31%	0.79%	0.43%	0.57%	0.29%
58	0.97%	1.19%	0.72%	0.4%	0.52%	0.27%
57	0.88%	1.08%	0.66%	0.36%	0.47%	0.25%
56	0.8%	0.97%	0.6%	0.33%	0.43%	0.23%
55	0.72%	0.87%	0.55%	0.3%	0.39%	0.21%
54	0.65%	0.78%	0.5%	0.27%	0.35%	0.19%
53	0.59%	0.7%	0.46%	0.25%	0.31%	0.18%
52	0.54%	0.63%	0.42%	0.22%	0.28%	0.16%
51	0.49%	0.56%	0.39%	0.2%	0.25%	0.15%
50	0.44%	0.51%	0.36%	0.18%	0.23%	0.13%
49	0.4%	0.46%	0.33%	0.16%	0.2%	0.12%
48	0.37%	0.42%	0.3%	0.14%	0.18%	0.11%
47	0.33%	0.38%	0.28%	0.13%	0.16%	0.1%
46	0.3%	0.34%	0.25%	0.12%	0.15%	0.09%
45	0.27%	0.3%	0.23%	0.11%	0.14%	0.08%
44	0.24%	0.27%	0.21%	0.1%	0.12%	0.07%
43	0.22%	0.24%	0.19%	0.09%	0.11%	0.06%
42	0.2%	0.22%	0.18%	0.08%	0.1%	0.05%
41	0.18%	0.2%	0.16%	0.07%	0.09%	0.05%
40	0.17%	0.18%	0.15%	0.06%	0.08%	0.04%
39	0.15%	0.16%	0.14%	0.06%	0.07%	0.04%
38	0.14%	0.15%	0.13%	0.05%	0.07%	0.03%
37	0.13%	0.14%	0.12%	0.05%	0.06%	0.03%
36	0.12%	0.13%	0.11%	0.04%	0.05%	0.03%
35	0.12%	0.13%	0.11%	0.04%	0.05%	0.03%
34	0.11%	0.12%	0.1%	0.04%	0.05%	0.02%
33	0.11%	0.11%	0.1%	0.03%	0.04%	0.02%
32	0.1%	0.11%	0.09%	0.03%	0.04%	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%	0.03%	0.02%
27	0.08%	0.1%	0.07%	0.02%	0.03%	0.02%
26	0.08%	0.1%	0.07%	0.02%	0.03%	0.01%
25	0.08%	0.1%	0.07%	0.02%	0.03%	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%	0.02%	0.02%	0.01%
16	0.05%	0.06%	0.04%	0.02%	0.02%	0.01%
15	0.04%	0.05%	0.03%	0.01%	0.02%	0.01%
14	0.04%	0.04%	0.03%	0.01%	0.01%	0.009%
13	0.03%	0.04%	0.03%	0.01%	0.01%	0.008%
12	0.03%	0.03%	0.02%	0.008%	0.01%	0.007%
11	0.03%	0.03%	0.02%	0.007%	0.008%	0.006%
10	0.03%	0.03%	0.02%	0.006%	0.007%	0.005%
9	0.03%	0.03%	0.02%	0.005%	0.006%	0.004%
8	0.03%	0.04%	0.02%	0.005%	0.006%	0.004%
7	0.03%	0.04%	0.03%	0.005%	0.006%	0.004%
6	0.04%	0.04%	0.03%	0.005%	0.006%	0.004%
5	0.05%	0.05%	0.04%	0.006%	0.007%	0.004%
4	0.05%	0.06%	0.05%	0.007%	0.008%	0.006%
3	0.07%	0.07%	0.06%	0.009%	0.01%	0.008%
2	0.08%	0.08%	0.08%	0.01%	0.01%	0.01%
1	0.1%	0.1%	0.1%	0.02%	0.02%	0.02%
0	1.66%	1.86%	1.44%	0.17%	0.19%	0.14%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.17% in Singapore, 0.09% vs 0.03% at age 30, 1.17% vs 0.47% at 60, and 8.98% vs 3.75% at 80.

Death rate by age in Bhutan vs Singapore

Chart Table

Bhutan

Male

Female

Singapore

Male

Female

1x

Age	Death rate
	Bhutan			Singapore
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	1,375	708	2,002
99	137.5	76.2	220.6	1,718	1,055	2,345
98	209.6	121.7	326	2,071	1,349	2,766
97	309	187.5	467	2,433	1,673	3,170
96	439	278.9	647	2,786	2,015	3,537
95	606	401	868	3,109	2,358	3,843
94	811	558	1,131	3,402	2,698	4,098
93	1,054	753	1,431	3,651	3,024	4,291
92	1,331	984	1,759	3,852	3,319	4,419
91	1,633	1,249	2,102	3,998	3,565	4,473
90	1,952	1,541	2,447	4,078	3,743	4,442
89	2,275	1,849	2,779	4,096	3,860	4,349
88	2,591	2,162	3,089	4,046	3,920	4,204
87	2,886	2,466	3,368	3,941	3,923	4,013
86	3,150	2,749	3,608	3,806	3,881	3,793
85	3,375	2,998	3,803	3,646	3,801	3,554
84	3,551	3,206	3,943	3,470	3,689	3,306
83	3,674	3,367	4,022	3,286	3,550	3,053
82	3,741	3,482	4,033	3,084	3,390	2,802
81	3,754	3,550	3,979	2,873	3,214	2,556
80	3,718	3,576	3,867	2,666	3,031	2,319
79	3,643	3,564	3,714	2,465	2,850	2,096
78	3,536	3,521	3,533	2,274	2,675	1,886
77	3,409	3,451	3,336	2,096	2,508	1,689
76	3,267	3,358	3,135	1,927	2,348	1,508
75	3,113	3,248	2,935	1,767	2,194	1,343
74	2,953	3,125	2,738	1,619	2,043	1,196
73	2,787	2,990	2,545	1,480	1,891	1,065
72	2,618	2,846	2,356	1,345	1,738	949
71	2,449	2,696	2,171	1,215	1,586	848
70	2,281	2,541	1,992	1,098	1,439	759
69	2,119	2,386	1,820	996	1,303	682
68	1,961	2,230	1,657	905	1,180	615
67	1,809	2,077	1,503	822	1,071	557
66	1,664	1,929	1,361	749	977	506
65	1,528	1,788	1,231	685	894	462
64	1,404	1,656	1,115	628	821	423
63	1,293	1,534	1,012	578	755	389
62	1,193	1,421	922	532	694	359
61	1,101	1,317	842	489	638	331
60	1,015	1,218	772	450	585	307
59	935	1,124	709	413	535	284.1
58	859	1,033	652	379	490	263.2
57	787	943	600	347	447	243.5
56	719	857	551	318	408	224.9
55	655	775	506	290.8	371	207
54	595	699	466	265.1	337	189.9
53	542	631	429	240.5	304	173.4
52	494	571	396	217.2	273.9	157.6
51	451	518	366	195.5	245.8	142.8
50	412	471	339	175.7	220.2	128.9
49	377	428	313	157.8	197.6	116.1
48	343	388	288.2	142.1	178	104.5
47	312	350	264.6	128.5	161.4	94.1
46	282.8	315	242	116.6	147	84.6
45	255.5	283.2	220.8	106	134.4	75.9
44	230.7	254	201.4	96	122.6	67.8
43	208.8	228.2	184.2	86.6	111.5	60.1
42	189.6	205.7	169.1	77.7	100.6	53
41	173.2	186.5	156.2	69.3	90.3	46.5
40	159.2	170.2	145	61.8	80.7	40.9
39	147.1	156.5	135.1	55.2	72.2	36.2
38	136.8	144.9	126.3	49.6	65	32.4
37	127.7	135.2	118.3	45.2	59.1	29.6
36	119.9	126.9	110.9	41.8	54.3	27.4
35	113.1	119.9	104.2	39.1	50.5	25.8
34	107	113.8	98.1	36.7	47.3	24.4
33	101.7	108.5	92.7	34.7	44.5	23
32	97	103.9	88	32.7	41.9	21.6
31	93	100	83.9	30.7	39.5	20.1
30	89.5	96.8	80.2	28.8	37.2	18.6
29	86.6	94.4	76.9	27.1	35	17.2
28	84.2	92.9	73.9	25.6	33.2	16.1
27	82.4	92.3	70.9	24.4	31.7	15.2
26	81	92.6	68.1	23.5	30.6	14.6
25	80.1	93.6	65.3	22.8	29.8	14.2
24	79.3	94.7	62.5	22.3	29.2	13.8
23	78.5	95.7	59.9	21.9	28.8	13.5
22	77.4	95.9	57.3	21.5	28.5	13.1
21	75.5	94.7	54.6	21	28.1	12.7
20	72.4	91.5	51.6	20.3	27.5	12.1
19	67.8	85.7	48.2	19.4	26.3	11.6
18	61.8	77.7	44.2	18.2	24.5	11.1
17	54.7	68	39.9	16.7	22.3	10.7
16	47.4	58.1	35.5	15.1	19.6	10.2
15	40.6	49	31.3	13.3	16.7	9.71
14	34.9	41.5	27.7	11.6	14	8.96
13	30.7	36	24.8	9.84	11.6	7.95
12	27.9	32.5	22.8	8.25	9.63	6.8
11	26.4	30.8	21.6	6.9	8.1	5.64
10	26.2	30.6	21.3	5.86	6.99	4.67
9	27.2	31.9	22	5.15	6.29	3.97
8	29.2	34.5	23.7	4.79	5.95	3.58
7	32.7	38.4	26.7	4.75	5.96	3.5
6	37.6	43.7	31.2	5.08	6.34	3.77
5	44.3	50.3	37.9	5.83	7.13	4.47
4	53	58.5	47.2	7.11	8.39	5.79
3	64.3	68.3	60	9.12	10.2	7.97
2	78.6	80.1	77.1	12.1	12.7	11.5
1	96.8	94	99.8	16.5	15.9	17.1
0	1,655	1,861	1,440	168.8	194.6	141.6

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 Singapore. The median age of death is 77.6 in Bhutan and 86.5 in Singapore, 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 Singapore more than their death rates.

Life expectancy in other countries

+ -

1x