Life Expectancy in Bhutan vs China (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

China

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			China
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102	101.7	102
99	100.9	100.8	101	101	100.6	101.1
98	100	99.9	100.1	100.1	99.6	100.2
97	99.1	99	99.2	99.3	98.7	99.4
96	98.2	98.1	98.3	98.4	97.9	98.6
95	97.4	97.2	97.5	97.6	97.1	97.8
94	96.5	96.3	96.6	96.8	96.3	97
93	95.7	95.5	95.8	96	95.5	96.2
92	94.8	94.6	95	95.3	94.7	95.5
91	94	93.8	94.2	94.6	94	94.9
90	93.2	93	93.4	93.9	93.3	94.2
89	92.5	92.2	92.7	93.2	92.6	93.6
88	91.7	91.4	92	92.6	91.9	93
87	91	90.7	91.2	92	91.3	92.4
86	90.3	89.9	90.5	91.4	90.6	91.8
85	89.6	89.2	89.9	90.8	90	91.3
84	88.9	88.5	89.2	90.2	89.4	90.7
83	88.2	87.8	88.6	89.6	88.8	90.2
82	87.6	87.2	88	89.1	88.2	89.8
81	87	86.6	87.4	88.6	87.7	89.3
80	86.4	85.9	86.8	88.1	87.2	88.9
79	85.8	85.4	86.3	87.7	86.7	88.5
78	85.3	84.8	85.8	87.3	86.2	88.2
77	84.8	84.2	85.3	86.9	85.8	87.8
76	84.3	83.7	84.9	86.5	85.3	87.5
75	83.8	83.2	84.5	86.2	84.9	87.2
74	83.4	82.7	84.1	85.8	84.5	86.9
73	83	82.3	83.7	85.5	84.1	86.7
72	82.5	81.8	83.3	85.2	83.7	86.4
71	82.2	81.4	83	84.9	83.4	86.1
70	81.8	81	82.7	84.6	83	85.9
69	81.4	80.6	82.4	84.3	82.7	85.7
68	81.1	80.2	82.1	84	82.4	85.5
67	80.8	79.8	81.8	83.8	82.1	85.4
66	80.5	79.5	81.5	83.6	81.8	85.2
65	80.2	79.2	81.3	83.3	81.5	85
64	79.9	78.9	81.1	83.1	81.3	84.9
63	79.7	78.6	80.9	82.9	81	84.7
62	79.4	78.3	80.7	82.7	80.8	84.6
61	79.2	78	80.5	82.5	80.6	84.5
60	79	77.8	80.3	82.4	80.4	84.3
59	78.8	77.5	80.2	82.2	80.2	84.2
58	78.6	77.3	80	82.1	80	84.2
57	78.4	77.1	79.9	82	79.8	84.1
56	78.2	76.9	79.7	81.8	79.7	84
55	78	76.7	79.6	81.7	79.5	83.9
54	77.9	76.5	79.5	81.6	79.4	83.8
53	77.7	76.4	79.3	81.5	79.2	83.7
52	77.6	76.2	79.2	81.4	79.1	83.7
51	77.5	76.1	79.1	81.3	79	83.6
50	77.4	76	79	81.2	78.9	83.5
49	77.3	75.8	78.9	81.1	78.8	83.5
48	77.1	75.7	78.8	81	78.7	83.4
47	77	75.6	78.7	81	78.6	83.4
46	77	75.5	78.7	80.9	78.5	83.3
45	76.9	75.4	78.6	80.8	78.4	83.3
44	76.8	75.3	78.5	80.8	78.3	83.2
43	76.7	75.3	78.4	80.7	78.3	83.2
42	76.7	75.2	78.4	80.6	78.2	83.1
41	76.6	75.1	78.3	80.6	78.1	83.1
40	76.5	75.1	78.3	80.5	78.1	83.1
39	76.5	75	78.2	80.5	78	83
38	76.4	75	78.2	80.5	78	83
37	76.4	74.9	78.1	80.4	77.9	83
36	76.3	74.9	78.1	80.4	77.9	83
35	76.3	74.8	78	80.4	77.8	82.9
34	76.2	74.8	78	80.3	77.8	82.9
33	76.2	74.7	77.9	80.3	77.8	82.9
32	76.1	74.7	77.9	80.2	77.7	82.8
31	76.1	74.6	77.8	80.2	77.7	82.8
30	76	74.6	77.8	80.2	77.6	82.8
29	76	74.5	77.8	80.1	77.6	82.8
28	76	74.5	77.7	80.1	77.6	82.7
27	75.9	74.4	77.7	80.1	77.5	82.7
26	75.9	74.4	77.7	80	77.5	82.7
25	75.8	74.3	77.6	80	77.4	82.7
24	75.8	74.3	77.6	80	77.4	82.6
23	75.8	74.2	77.6	79.9	77.4	82.6
22	75.7	74.2	77.5	79.9	77.3	82.6
21	75.7	74.1	77.5	79.9	77.3	82.6
20	75.6	74.1	77.5	79.8	77.3	82.5
19	75.6	74	77.4	79.8	77.2	82.5
18	75.6	74	77.4	79.8	77.2	82.5
17	75.5	74	77.4	79.8	77.2	82.5
16	75.5	73.9	77.4	79.8	77.2	82.5
15	75.5	73.9	77.3	79.7	77.1	82.4
14	75.4	73.9	77.3	79.7	77.1	82.4
13	75.4	73.9	77.3	79.7	77.1	82.4
12	75.4	73.8	77.3	79.7	77.1	82.4
11	75.4	73.8	77.3	79.7	77	82.4
10	75.4	73.8	77.3	79.6	77	82.4
9	75.4	73.8	77.2	79.6	77	82.4
8	75.3	73.7	77.2	79.6	77	82.3
7	75.3	73.7	77.2	79.6	77	82.3
6	75.3	73.7	77.2	79.6	76.9	82.3
5	75.3	73.7	77.2	79.6	76.9	82.3
4	75.2	73.6	77.1	79.5	76.9	82.3
3	75.2	73.6	77.1	79.5	76.9	82.2
2	75.1	73.5	77	79.5	76.9	82.2
1	75	73.4	76.9	79.5	76.8	82.2
0	73.8	72.1	75.8	79	76.4	81.8

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 80.2 in China, rising to 80.2 and 83.3 at 65, and to 86.4 and 88.1 at 80 — higher than the 73.8 and 79 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

China

Male

Female

1x

Age	Survival probability
	Bhutan			China
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	0.82%	0.19%	1.45%
99	0.35%	0.18%	0.58%	1.33%	0.38%	2.27%
98	0.56%	0.3%	0.91%	2.06%	0.72%	3.42%
97	0.87%	0.49%	1.37%	3.08%	1.24%	4.95%
96	1.31%	0.77%	2.02%	4.43%	2%	6.91%
95	1.91%	1.17%	2.89%	6.17%	3.05%	9.37%
94	2.72%	1.73%	4.02%	8.32%	4.42%	12.3%
93	3.78%	2.48%	5.45%	10.9%	6.13%	15.8%
92	5.11%	3.46%	7.21%	13.7%	8.19%	19.4%
91	6.74%	4.71%	9.31%	16.8%	10.6%	23.3%
90	8.69%	6.25%	11.8%	20.2%	13.3%	27.4%
89	11%	8.1%	14.5%	23.8%	16.3%	31.6%
88	13.6%	10.3%	17.6%	27.5%	19.5%	35.8%
87	16.4%	12.7%	21%	31.4%	23%	40.2%
86	19.6%	15.5%	24.6%	35.4%	26.6%	44.5%
85	23%	18.5%	28.4%	39.4%	30.3%	48.8%
84	26.5%	21.7%	32.3%	43.3%	34.1%	52.9%
83	30.2%	25.1%	36.4%	47.2%	37.9%	56.8%
82	33.9%	28.5%	40.4%	51%	41.7%	60.5%
81	37.7%	32.1%	44.4%	54.5%	45.3%	64%
80	41.4%	35.7%	48.3%	57.8%	48.8%	67.1%
79	45%	39.2%	52%	60.9%	52.2%	70%
78	48.6%	42.7%	55.5%	63.8%	55.3%	72.5%
77	52%	46.2%	58.8%	66.5%	58.3%	74.9%
76	55.3%	49.6%	62%	69%	61.2%	77%
75	58.4%	52.8%	64.9%	71.3%	63.9%	79%
74	61.3%	55.9%	67.6%	73.5%	66.4%	80.8%
73	64.1%	58.9%	70.2%	75.6%	68.9%	82.5%
72	66.7%	61.8%	72.5%	77.5%	71.1%	84%
71	69.2%	64.5%	74.7%	79.3%	73.3%	85.5%
70	71.5%	67%	76.7%	80.9%	75.3%	86.7%
69	73.6%	69.4%	78.5%	82.4%	77.1%	87.8%
68	75.5%	71.6%	80.2%	83.7%	78.8%	88.8%
67	77.4%	73.7%	81.7%	84.9%	80.4%	89.6%
66	79%	75.6%	83%	86.1%	82%	90.5%
65	80.5%	77.4%	84.3%	87.2%	83.4%	91.2%
64	81.9%	79.1%	85.4%	88.3%	84.8%	91.9%
63	83.2%	80.6%	86.4%	89.2%	86%	92.6%
62	84.4%	82%	87.3%	90.1%	87.1%	93.1%
61	85.5%	83.3%	88.2%	90.8%	88.1%	93.6%
60	86.6%	84.6%	88.9%	91.5%	89%	94.1%
59	87.5%	85.7%	89.6%	92.1%	89.8%	94.5%
58	88.3%	86.7%	90.3%	92.6%	90.5%	94.8%
57	89.1%	87.7%	90.9%	93.1%	91.2%	95.1%
56	89.9%	88.5%	91.5%	93.5%	91.8%	95.4%
55	90.5%	89.3%	92%	94%	92.4%	95.7%
54	91.1%	90%	92.4%	94.4%	92.9%	95.9%
53	91.6%	90.6%	92.9%	94.8%	93.4%	96.2%
52	92.1%	91.2%	93.2%	95.1%	93.9%	96.4%
51	92.6%	91.7%	93.6%	95.4%	94.3%	96.6%
50	93%	92.2%	94%	95.7%	94.7%	96.8%
49	93.4%	92.6%	94.3%	96%	95.1%	97%
48	93.7%	93%	94.6%	96.2%	95.4%	97.1%
47	94%	93.3%	94.8%	96.4%	95.7%	97.3%
46	94.3%	93.7%	95.1%	96.6%	95.9%	97.4%
45	94.6%	93.9%	95.3%	96.8%	96.1%	97.5%
44	94.8%	94.2%	95.5%	97%	96.4%	97.6%
43	95%	94.4%	95.7%	97.1%	96.6%	97.7%
42	95.2%	94.6%	95.8%	97.3%	96.7%	97.8%
41	95.4%	94.8%	96%	97.4%	96.9%	97.9%
40	95.5%	95%	96.1%	97.5%	97%	98%
39	95.7%	95.1%	96.3%	97.6%	97.2%	98.1%
38	95.8%	95.3%	96.4%	97.7%	97.3%	98.1%
37	95.9%	95.4%	96.5%	97.8%	97.4%	98.2%
36	96.1%	95.5%	96.6%	97.9%	97.5%	98.3%
35	96.2%	95.7%	96.7%	97.9%	97.6%	98.3%
34	96.3%	95.8%	96.8%	98%	97.7%	98.4%
33	96.4%	95.9%	96.9%	98.1%	97.8%	98.4%
32	96.5%	96%	97%	98.2%	97.9%	98.5%
31	96.6%	96.1%	97.1%	98.2%	98%	98.5%
30	96.7%	96.2%	97.2%	98.3%	98%	98.6%
29	96.8%	96.3%	97.3%	98.4%	98.1%	98.6%
28	96.8%	96.4%	97.3%	98.4%	98.2%	98.7%
27	96.9%	96.5%	97.4%	98.5%	98.3%	98.7%
26	97%	96.6%	97.5%	98.6%	98.4%	98.8%
25	97.1%	96.7%	97.5%	98.6%	98.4%	98.8%
24	97.2%	96.8%	97.6%	98.7%	98.5%	98.9%
23	97.2%	96.8%	97.7%	98.7%	98.6%	98.9%
22	97.3%	96.9%	97.7%	98.8%	98.7%	99%
21	97.4%	97%	97.8%	98.8%	98.7%	99%
20	97.5%	97.1%	97.8%	98.9%	98.8%	99%
19	97.5%	97.2%	97.9%	98.9%	98.8%	99.1%
18	97.6%	97.3%	97.9%	99%	98.9%	99.1%
17	97.6%	97.4%	97.9%	99%	98.9%	99.1%
16	97.7%	97.4%	98%	99%	98.9%	99.1%
15	97.7%	97.5%	98%	99.1%	99%	99.2%
14	97.8%	97.5%	98%	99.1%	99%	99.2%
13	97.8%	97.5%	98.1%	99.1%	99%	99.2%
12	97.8%	97.6%	98.1%	99.1%	99.1%	99.2%
11	97.9%	97.6%	98.1%	99.2%	99.1%	99.2%
10	97.9%	97.6%	98.1%	99.2%	99.1%	99.3%
9	97.9%	97.7%	98.2%	99.2%	99.2%	99.3%
8	97.9%	97.7%	98.2%	99.3%	99.2%	99.3%
7	98%	97.7%	98.2%	99.3%	99.2%	99.3%
6	98%	97.8%	98.2%	99.3%	99.3%	99.4%
5	98.1%	97.8%	98.3%	99.3%	99.3%	99.4%
4	98.1%	97.9%	98.3%	99.3%	99.3%	99.4%
3	98.2%	98%	98.4%	99.4%	99.3%	99.4%
2	98.2%	98%	98.5%	99.4%	99.4%	99.5%
1	98.3%	98.1%	98.6%	99.5%	99.4%	99.5%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 91.5% in China are expected to live past 60, 71.5% and 80.9% past 70, 41.4% and 57.8% past 80, and only 8.69% and 20.2% 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

China

Male

Female

1x

Age	Probability of dying
	Bhutan			China
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	40.6%	55.2%	38.5%
99	39.6%	42.2%	38%	38.1%	51.3%	36.1%
98	37.6%	40.3%	36%	35.7%	46.6%	33.6%
97	35.6%	38.3%	34%	33.1%	42.1%	30.9%
96	33.7%	36.3%	32%	30.5%	38.1%	28.4%
95	31.7%	34.3%	30%	28.2%	34.3%	26.2%
94	29.8%	32.3%	28.1%	25.9%	31%	24.1%
93	27.9%	30.3%	26.3%	23.4%	27.9%	21.7%
92	26.1%	28.4%	24.4%	20.8%	25.2%	19%
91	24.2%	26.5%	22.6%	18.5%	22.6%	16.6%
90	22.5%	24.6%	20.8%	16.7%	20.4%	14.9%
89	20.7%	22.8%	19.1%	15.1%	18.4%	13.3%
88	19.1%	21.1%	17.5%	13.6%	16.6%	11.9%
87	17.6%	19.4%	16%	12.4%	15%	10.8%
86	16.1%	17.8%	14.7%	11.2%	13.6%	9.72%
85	14.7%	16.2%	13.4%	10.1%	12.3%	8.73%
84	13.4%	14.8%	12.2%	9.17%	11.2%	7.82%
83	12.2%	13.4%	11.1%	8.24%	10.1%	6.95%
82	11%	12.2%	9.98%	7.35%	9.03%	6.12%
81	9.96%	11.1%	8.96%	6.51%	8.06%	5.36%
80	8.98%	10%	8.02%	5.75%	7.17%	4.67%
79	8.09%	9.09%	7.15%	5.09%	6.39%	4.07%
78	7.28%	8.24%	6.37%	4.52%	5.71%	3.56%
77	6.56%	7.47%	5.67%	4.03%	5.14%	3.15%
76	5.91%	6.78%	5.06%	3.62%	4.65%	2.8%
75	5.33%	6.15%	4.52%	3.27%	4.23%	2.5%
74	4.82%	5.59%	4.05%	2.98%	3.86%	2.25%
73	4.35%	5.07%	3.63%	2.69%	3.5%	2.02%
72	3.92%	4.61%	3.25%	2.45%	3.19%	1.81%
71	3.54%	4.18%	2.91%	2.26%	2.96%	1.66%
70	3.19%	3.79%	2.6%	2.04%	2.7%	1.47%
69	2.88%	3.44%	2.32%	1.76%	2.36%	1.22%
68	2.6%	3.11%	2.07%	1.58%	2.14%	1.08%
67	2.34%	2.82%	1.84%	1.48%	2.01%	1%
66	2.11%	2.55%	1.64%	1.37%	1.86%	0.91%
65	1.9%	2.31%	1.46%	1.26%	1.72%	0.83%
64	1.71%	2.09%	1.31%	1.17%	1.59%	0.76%
63	1.55%	1.9%	1.17%	1.06%	1.45%	0.69%
62	1.41%	1.73%	1.06%	0.95%	1.3%	0.61%
61	1.29%	1.58%	0.96%	0.83%	1.14%	0.53%
60	1.17%	1.44%	0.87%	0.73%	1%	0.46%
59	1.07%	1.31%	0.79%	0.64%	0.88%	0.41%
58	0.97%	1.19%	0.72%	0.57%	0.78%	0.36%
57	0.88%	1.08%	0.66%	0.52%	0.71%	0.33%
56	0.8%	0.97%	0.6%	0.48%	0.66%	0.31%
55	0.72%	0.87%	0.55%	0.45%	0.62%	0.29%
54	0.65%	0.78%	0.5%	0.43%	0.59%	0.27%
53	0.59%	0.7%	0.46%	0.41%	0.55%	0.26%
52	0.54%	0.63%	0.42%	0.38%	0.51%	0.24%
51	0.49%	0.56%	0.39%	0.34%	0.46%	0.22%
50	0.44%	0.51%	0.36%	0.3%	0.41%	0.19%
49	0.4%	0.46%	0.33%	0.27%	0.36%	0.17%
48	0.37%	0.42%	0.3%	0.24%	0.32%	0.15%
47	0.33%	0.38%	0.28%	0.22%	0.29%	0.14%
46	0.3%	0.34%	0.25%	0.2%	0.26%	0.13%
45	0.27%	0.3%	0.23%	0.18%	0.24%	0.12%
44	0.24%	0.27%	0.21%	0.17%	0.22%	0.11%
43	0.22%	0.24%	0.19%	0.16%	0.21%	0.11%
42	0.2%	0.22%	0.18%	0.14%	0.19%	0.1%
41	0.18%	0.2%	0.16%	0.13%	0.17%	0.09%
40	0.17%	0.18%	0.15%	0.12%	0.15%	0.08%
39	0.15%	0.16%	0.14%	0.1%	0.13%	0.07%
38	0.14%	0.15%	0.13%	0.1%	0.12%	0.07%
37	0.13%	0.14%	0.12%	0.09%	0.11%	0.06%
36	0.12%	0.13%	0.11%	0.08%	0.1%	0.06%
35	0.12%	0.13%	0.11%	0.08%	0.1%	0.06%
34	0.11%	0.12%	0.1%	0.08%	0.1%	0.06%
33	0.11%	0.11%	0.1%	0.08%	0.09%	0.05%
32	0.1%	0.11%	0.09%	0.07%	0.09%	0.05%
31	0.1%	0.1%	0.09%	0.07%	0.09%	0.05%
30	0.09%	0.1%	0.08%	0.07%	0.09%	0.05%
29	0.09%	0.1%	0.08%	0.07%	0.09%	0.05%
28	0.09%	0.1%	0.08%	0.07%	0.08%	0.05%
27	0.08%	0.1%	0.07%	0.07%	0.08%	0.05%
26	0.08%	0.1%	0.07%	0.07%	0.08%	0.05%
25	0.08%	0.1%	0.07%	0.06%	0.08%	0.05%
24	0.08%	0.1%	0.06%	0.06%	0.07%	0.05%
23	0.08%	0.1%	0.06%	0.06%	0.07%	0.04%
22	0.08%	0.1%	0.06%	0.05%	0.07%	0.04%
21	0.08%	0.1%	0.06%	0.05%	0.06%	0.04%
20	0.07%	0.09%	0.05%	0.05%	0.05%	0.03%
19	0.07%	0.09%	0.05%	0.04%	0.05%	0.03%
18	0.06%	0.08%	0.05%	0.04%	0.04%	0.03%
17	0.06%	0.07%	0.04%	0.03%	0.04%	0.03%
16	0.05%	0.06%	0.04%	0.03%	0.04%	0.02%
15	0.04%	0.05%	0.03%	0.03%	0.04%	0.02%
14	0.04%	0.04%	0.03%	0.03%	0.04%	0.02%
13	0.03%	0.04%	0.03%	0.03%	0.04%	0.02%
12	0.03%	0.03%	0.02%	0.03%	0.03%	0.02%
11	0.03%	0.03%	0.02%	0.03%	0.03%	0.02%
10	0.03%	0.03%	0.02%	0.03%	0.03%	0.02%
9	0.03%	0.03%	0.02%	0.03%	0.03%	0.02%
8	0.03%	0.04%	0.02%	0.03%	0.03%	0.02%
7	0.03%	0.04%	0.03%	0.02%	0.03%	0.02%
6	0.04%	0.04%	0.03%	0.02%	0.02%	0.02%
5	0.05%	0.05%	0.04%	0.02%	0.02%	0.02%
4	0.05%	0.06%	0.05%	0.02%	0.02%	0.03%
3	0.07%	0.07%	0.06%	0.03%	0.03%	0.03%
2	0.08%	0.08%	0.08%	0.04%	0.04%	0.04%
1	0.1%	0.1%	0.1%	0.05%	0.05%	0.05%
0	1.66%	1.86%	1.44%	0.54%	0.59%	0.49%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.54% in China, 0.09% vs 0.07% at age 30, 1.17% vs 0.73% at 60, and 8.98% vs 5.75% at 80.

Death rate by age in Bhutan vs China

Chart Table

Bhutan

Male

Female

China

Male

Female

1x

Age	Death rate
	Bhutan			China
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	145	0	355
99	137.5	76.2	220.6	505	196.9	819
98	209.6	121.7	326	735	334	1,147
97	309	187.5	467	1,018	523	1,530
96	439	278.9	647	1,350	762	1,962
95	606	401	868	1,738	1,046	2,458
94	811	558	1,131	2,153	1,368	2,972
93	1,054	753	1,431	2,544	1,713	3,413
92	1,331	984	1,759	2,856	2,061	3,693
91	1,633	1,249	2,102	3,108	2,396	3,865
90	1,952	1,541	2,447	3,366	2,708	4,066
89	2,275	1,849	2,779	3,582	2,988	4,200
88	2,591	2,162	3,089	3,745	3,232	4,268
87	2,886	2,466	3,368	3,880	3,440	4,326
86	3,150	2,749	3,608	3,965	3,608	4,325
85	3,375	2,998	3,803	3,995	3,731	4,256
84	3,551	3,206	3,943	3,972	3,803	4,134
83	3,674	3,367	4,022	3,891	3,816	3,953
82	3,741	3,482	4,033	3,745	3,764	3,707
81	3,754	3,550	3,979	3,550	3,655	3,426
80	3,718	3,576	3,867	3,328	3,503	3,132
79	3,643	3,564	3,714	3,103	3,332	2,846
78	3,536	3,521	3,533	2,884	3,160	2,586
77	3,409	3,451	3,336	2,680	2,998	2,356
76	3,267	3,358	3,135	2,497	2,846	2,155
75	3,113	3,248	2,935	2,336	2,704	1,979
74	2,953	3,125	2,738	2,190	2,566	1,823
73	2,787	2,990	2,545	2,034	2,410	1,665
72	2,618	2,846	2,356	1,895	2,269	1,525
71	2,449	2,696	2,171	1,792	2,168	1,415
70	2,281	2,541	1,992	1,654	2,034	1,272
69	2,119	2,386	1,820	1,448	1,822	1,069
68	1,961	2,230	1,657	1,325	1,689	956
67	1,809	2,077	1,503	1,260	1,614	898
66	1,664	1,929	1,361	1,179	1,527	825
65	1,528	1,788	1,231	1,103	1,438	761
64	1,404	1,656	1,115	1,030	1,348	703
63	1,293	1,534	1,012	946	1,247	635
62	1,193	1,421	922	853	1,133	564
61	1,101	1,317	842	757	1,009	498
60	1,015	1,218	772	668	892	436
59	935	1,124	709	590	791	383
58	859	1,033	652	527	706	342
57	787	943	600	482	645	313
56	719	857	551	451	603	292
55	655	775	506	427	572	276.5
54	595	699	466	408	546	263.3
53	542	631	429	387	518	249.2
52	494	571	396	360	482	231.3
51	451	518	366	327	438	210
50	412	471	339	290.9	390	187.2
49	377	428	313	257.4	344	166.1
48	343	388	288.2	229.6	306	149.2
47	312	350	264.6	208.9	276.7	137.2
46	282.8	315	242	192.8	253.9	128.1
45	255.5	283.2	220.8	178.6	234	119.7
44	230.7	254	201.4	165.2	215.7	111.4
43	208.8	228.2	184.2	152.2	198	103.3
42	189.6	205.7	169.1	139.1	180	95.4
41	173.2	186.5	156.2	126	161.9	87.5
40	159.2	170.2	145	113.4	144.6	79.7
39	147.1	156.5	135.1	102.3	129.3	72.9
38	136.8	144.9	126.3	93	116.7	67.2
37	127.7	135.2	118.3	86	107.2	62.7
36	119.9	126.9	110.9	81	100.6	59.2
35	113.1	119.9	104.2	77.6	96.3	56.7
34	107	113.8	98.1	75.4	93.5	55
33	101.7	108.5	92.7	73.9	91.7	53.8
32	97	103.9	88	72.9	90.3	53
31	93	100	83.9	71.6	88.7	51.9
30	89.5	96.8	80.2	70	86.7	50.7
29	86.6	94.4	76.9	68.3	84.6	49.4
28	84.2	92.9	73.9	67	82.9	48.7
27	82.4	92.3	70.9	65.8	81	48.1
26	81	92.6	68.1	64.1	78.3	47.4
25	80.1	93.6	65.3	62.2	75.4	46.7
24	79.3	94.7	62.5	60.3	72.7	45.8
23	78.5	95.7	59.9	57.6	69	44.1
22	77.4	95.9	57.3	53.9	64.4	41.5
21	75.5	94.7	54.6	49.4	59.1	38.1
20	72.4	91.5	51.6	44.8	53.7	34.3
19	67.8	85.7	48.2	40.4	48.5	30.8
18	61.8	77.7	44.2	36.6	44.2	27.6
17	54.7	68	39.9	33.6	40.9	25
16	47.4	58.1	35.5	31.4	38.5	23.1
15	40.6	49	31.3	30	36.9	21.9
14	34.9	41.5	27.7	29.2	35.9	21.3
13	30.7	36	24.8	28.7	35.2	21.2
12	27.9	32.5	22.8	28.2	34.1	21.3
11	26.4	30.8	21.6	27.5	32.7	21.6
10	26.2	30.6	21.3	27.6	32	22.6
9	27.2	31.9	22	27.6	31.1	23.5
8	29.2	34.5	23.7	26.3	28.8	23.3
7	32.7	38.4	26.7	24.2	25.8	22.4
6	37.6	43.7	31.2	22.5	23.1	21.8
5	44.3	50.3	37.9	22.3	22.3	22.4
4	53	58.5	47.2	24.6	24.2	25
3	64.3	68.3	60	29.6	29.3	29.9
2	78.6	80.1	77.1	36.1	35.9	36.3
1	96.8	94	99.8	45.9	46.8	44.9
0	1,655	1,861	1,440	540	585	490

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 China. The median age of death is 77.6 in Bhutan and 82.3 in China, 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 China more than their death rates.

Life expectancy in other countries

+ -

1x