Life Expectancy in Bhutan vs Italy (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Italy

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Italy
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.1	101.9	102.1
99	100.9	100.8	101	101.2	101	101.3
98	100	99.9	100.1	100.4	100.2	100.5
97	99.1	99	99.2	99.6	99.3	99.7
96	98.2	98.1	98.3	98.8	98.5	98.9
95	97.4	97.2	97.5	98	97.7	98.2
94	96.5	96.3	96.6	97.3	97	97.4
93	95.7	95.5	95.8	96.6	96.2	96.8
92	94.8	94.6	95	95.9	95.5	96.1
91	94	93.8	94.2	95.2	94.8	95.5
90	93.2	93	93.4	94.6	94.1	94.9
89	92.5	92.2	92.7	94	93.4	94.3
88	91.7	91.4	92	93.4	92.8	93.7
87	91	90.7	91.2	92.9	92.2	93.3
86	90.3	89.9	90.5	92.4	91.7	92.8
85	89.6	89.2	89.9	91.9	91.2	92.4
84	88.9	88.5	89.2	91.4	90.7	92
83	88.2	87.8	88.6	91	90.2	91.6
82	87.6	87.2	88	90.6	89.8	91.2
81	87	86.6	87.4	90.3	89.4	90.9
80	86.4	85.9	86.8	89.9	89	90.7
79	85.8	85.4	86.3	89.6	88.6	90.4
78	85.3	84.8	85.8	89.3	88.3	90.1
77	84.8	84.2	85.3	89.1	88	89.9
76	84.3	83.7	84.9	88.8	87.7	89.7
75	83.8	83.2	84.5	88.5	87.4	89.5
74	83.4	82.7	84.1	88.3	87.1	89.3
73	83	82.3	83.7	88.1	86.8	89.2
72	82.5	81.8	83.3	87.9	86.6	89
71	82.2	81.4	83	87.7	86.3	88.8
70	81.8	81	82.7	87.5	86.1	88.7
69	81.4	80.6	82.4	87.3	85.9	88.5
68	81.1	80.2	82.1	87.1	85.7	88.4
67	80.8	79.8	81.8	87	85.5	88.3
66	80.5	79.5	81.5	86.8	85.3	88.2
65	80.2	79.2	81.3	86.7	85.1	88.1
64	79.9	78.9	81.1	86.5	84.9	87.9
63	79.7	78.6	80.9	86.4	84.8	87.8
62	79.4	78.3	80.7	86.3	84.6	87.8
61	79.2	78	80.5	86.1	84.5	87.7
60	79	77.8	80.3	86	84.3	87.6
59	78.8	77.5	80.2	85.9	84.2	87.5
58	78.6	77.3	80	85.8	84.1	87.4
57	78.4	77.1	79.9	85.7	84	87.3
56	78.2	76.9	79.7	85.6	83.9	87.3
55	78	76.7	79.6	85.6	83.8	87.2
54	77.9	76.5	79.5	85.5	83.7	87.1
53	77.7	76.4	79.3	85.4	83.6	87.1
52	77.6	76.2	79.2	85.3	83.5	87
51	77.5	76.1	79.1	85.3	83.4	87
50	77.4	76	79	85.2	83.4	86.9
49	77.3	75.8	78.9	85.2	83.3	86.9
48	77.1	75.7	78.8	85.1	83.2	86.9
47	77	75.6	78.7	85.1	83.2	86.8
46	77	75.5	78.7	85	83.1	86.8
45	76.9	75.4	78.6	85	83.1	86.7
44	76.8	75.3	78.5	84.9	83.1	86.7
43	76.7	75.3	78.4	84.9	83	86.7
42	76.7	75.2	78.4	84.9	83	86.7
41	76.6	75.1	78.3	84.9	82.9	86.6
40	76.5	75.1	78.3	84.8	82.9	86.6
39	76.5	75	78.2	84.8	82.9	86.6
38	76.4	75	78.2	84.8	82.8	86.6
37	76.4	74.9	78.1	84.8	82.8	86.6
36	76.3	74.9	78.1	84.7	82.8	86.6
35	76.3	74.8	78	84.7	82.8	86.5
34	76.2	74.8	78	84.7	82.7	86.5
33	76.2	74.7	77.9	84.7	82.7	86.5
32	76.1	74.7	77.9	84.7	82.7	86.5
31	76.1	74.6	77.8	84.6	82.7	86.5
30	76	74.6	77.8	84.6	82.7	86.5
29	76	74.5	77.8	84.6	82.6	86.5
28	76	74.5	77.7	84.6	82.6	86.5
27	75.9	74.4	77.7	84.6	82.6	86.5
26	75.9	74.4	77.7	84.6	82.6	86.4
25	75.8	74.3	77.6	84.6	82.6	86.4
24	75.8	74.3	77.6	84.5	82.5	86.4
23	75.8	74.2	77.6	84.5	82.5	86.4
22	75.7	74.2	77.5	84.5	82.5	86.4
21	75.7	74.1	77.5	84.5	82.5	86.4
20	75.6	74.1	77.5	84.5	82.5	86.4
19	75.6	74	77.4	84.5	82.4	86.4
18	75.6	74	77.4	84.5	82.4	86.4
17	75.5	74	77.4	84.4	82.4	86.4
16	75.5	73.9	77.4	84.4	82.4	86.4
15	75.5	73.9	77.3	84.4	82.4	86.4
14	75.4	73.9	77.3	84.4	82.4	86.4
13	75.4	73.9	77.3	84.4	82.4	86.4
12	75.4	73.8	77.3	84.4	82.4	86.3
11	75.4	73.8	77.3	84.4	82.4	86.3
10	75.4	73.8	77.3	84.4	82.4	86.3
9	75.4	73.8	77.2	84.4	82.4	86.3
8	75.3	73.7	77.2	84.4	82.3	86.3
7	75.3	73.7	77.2	84.4	82.3	86.3
6	75.3	73.7	77.2	84.4	82.3	86.3
5	75.3	73.7	77.2	84.4	82.3	86.3
4	75.2	73.6	77.1	84.4	82.3	86.3
3	75.2	73.6	77.1	84.4	82.3	86.3
2	75.1	73.5	77	84.4	82.3	86.3
1	75	73.4	76.9	84.4	82.3	86.3
0	73.8	72.1	75.8	84.2	82.1	86.1

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 84.6 in Italy, rising to 80.2 and 86.7 at 65, and to 86.4 and 89.9 at 80 — higher than the 73.8 and 84.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Italy

Male

Female

1x

Age	Survival probability
	Bhutan			Italy
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	2.7%	1.41%	3.78%
99	0.35%	0.18%	0.58%	4.03%	2.2%	5.57%
98	0.56%	0.3%	0.91%	5.79%	3.32%	7.88%
97	0.87%	0.49%	1.37%	8.03%	4.83%	10.8%
96	1.31%	0.77%	2.02%	10.8%	6.77%	14.2%
95	1.91%	1.17%	2.89%	14%	9.18%	18.2%
94	2.72%	1.73%	4.02%	17.7%	12.1%	22.6%
93	3.78%	2.48%	5.45%	21.7%	15.4%	27.4%
92	5.11%	3.46%	7.21%	26.1%	19.2%	32.4%
91	6.74%	4.71%	9.31%	30.8%	23.3%	37.6%
90	8.69%	6.25%	11.8%	35.6%	27.7%	42.8%
89	11%	8.1%	14.5%	40.4%	32.2%	47.9%
88	13.6%	10.3%	17.6%	45.1%	36.9%	52.8%
87	16.4%	12.7%	21%	49.7%	41.4%	57.4%
86	19.6%	15.5%	24.6%	54%	45.9%	61.7%
85	23%	18.5%	28.4%	58%	50.1%	65.5%
84	26.5%	21.7%	32.3%	61.7%	54.1%	69%
83	30.2%	25.1%	36.4%	65.1%	57.8%	72.2%
82	33.9%	28.5%	40.4%	68.2%	61.2%	75%
81	37.7%	32.1%	44.4%	71%	64.4%	77.5%
80	41.4%	35.7%	48.3%	73.6%	67.3%	79.6%
79	45%	39.2%	52%	75.9%	70%	81.5%
78	48.6%	42.7%	55.5%	77.9%	72.4%	83.2%
77	52%	46.2%	58.8%	79.8%	74.6%	84.8%
76	55.3%	49.6%	62%	81.5%	76.7%	86.1%
75	58.4%	52.8%	64.9%	83%	78.6%	87.3%
74	61.3%	55.9%	67.6%	84.4%	80.4%	88.4%
73	64.1%	58.9%	70.2%	85.7%	82%	89.4%
72	66.7%	61.8%	72.5%	86.9%	83.5%	90.3%
71	69.2%	64.5%	74.7%	88%	84.9%	91.1%
70	71.5%	67%	76.7%	89%	86.1%	91.9%
69	73.6%	69.4%	78.5%	89.9%	87.2%	92.5%
68	75.5%	71.6%	80.2%	90.7%	88.3%	93.1%
67	77.4%	73.7%	81.7%	91.5%	89.3%	93.7%
66	79%	75.6%	83%	92.2%	90.2%	94.2%
65	80.5%	77.4%	84.3%	92.8%	91%	94.7%
64	81.9%	79.1%	85.4%	93.4%	91.7%	95.1%
63	83.2%	80.6%	86.4%	94%	92.4%	95.5%
62	84.4%	82%	87.3%	94.5%	93.1%	95.9%
61	85.5%	83.3%	88.2%	94.9%	93.7%	96.2%
60	86.6%	84.6%	88.9%	95.4%	94.2%	96.5%
59	87.5%	85.7%	89.6%	95.7%	94.7%	96.8%
58	88.3%	86.7%	90.3%	96.1%	95.1%	97.1%
57	89.1%	87.7%	90.9%	96.4%	95.5%	97.3%
56	89.9%	88.5%	91.5%	96.7%	95.9%	97.5%
55	90.5%	89.3%	92%	97%	96.2%	97.7%
54	91.1%	90%	92.4%	97.2%	96.5%	97.9%
53	91.6%	90.6%	92.9%	97.4%	96.8%	98.1%
52	92.1%	91.2%	93.2%	97.6%	97.1%	98.2%
51	92.6%	91.7%	93.6%	97.8%	97.3%	98.4%
50	93%	92.2%	94%	98%	97.5%	98.5%
49	93.4%	92.6%	94.3%	98.1%	97.7%	98.6%
48	93.7%	93%	94.6%	98.3%	97.8%	98.7%
47	94%	93.3%	94.8%	98.4%	98%	98.8%
46	94.3%	93.7%	95.1%	98.5%	98.1%	98.9%
45	94.6%	93.9%	95.3%	98.6%	98.2%	99%
44	94.8%	94.2%	95.5%	98.7%	98.3%	99%
43	95%	94.4%	95.7%	98.8%	98.4%	99.1%
42	95.2%	94.6%	95.8%	98.8%	98.5%	99.2%
41	95.4%	94.8%	96%	98.9%	98.6%	99.2%
40	95.5%	95%	96.1%	99%	98.7%	99.3%
39	95.7%	95.1%	96.3%	99%	98.8%	99.3%
38	95.8%	95.3%	96.4%	99.1%	98.8%	99.3%
37	95.9%	95.4%	96.5%	99.1%	98.9%	99.4%
36	96.1%	95.5%	96.6%	99.2%	98.9%	99.4%
35	96.2%	95.7%	96.7%	99.2%	99%	99.4%
34	96.3%	95.8%	96.8%	99.2%	99%	99.5%
33	96.4%	95.9%	96.9%	99.3%	99.1%	99.5%
32	96.5%	96%	97%	99.3%	99.1%	99.5%
31	96.6%	96.1%	97.1%	99.3%	99.2%	99.5%
30	96.7%	96.2%	97.2%	99.4%	99.2%	99.5%
29	96.8%	96.3%	97.3%	99.4%	99.2%	99.5%
28	96.8%	96.4%	97.3%	99.4%	99.3%	99.6%
27	96.9%	96.5%	97.4%	99.4%	99.3%	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%	99.5%	99.4%	99.6%
23	97.2%	96.8%	97.7%	99.5%	99.5%	99.6%
22	97.3%	96.9%	97.7%	99.6%	99.5%	99.6%
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%	99.6%	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%	99.7%
15	97.7%	97.5%	98%	99.7%	99.7%	99.7%
14	97.8%	97.5%	98%	99.7%	99.7%	99.7%
13	97.8%	97.5%	98.1%	99.7%	99.7%	99.7%
12	97.8%	97.6%	98.1%	99.7%	99.7%	99.7%
11	97.9%	97.6%	98.1%	99.7%	99.7%	99.7%
10	97.9%	97.6%	98.1%	99.7%	99.7%	99.7%
9	97.9%	97.7%	98.2%	99.7%	99.7%	99.8%
8	97.9%	97.7%	98.2%	99.7%	99.7%	99.8%
7	98%	97.7%	98.2%	99.7%	99.7%	99.8%
6	98%	97.8%	98.2%	99.7%	99.7%	99.8%
5	98.1%	97.8%	98.3%	99.8%	99.7%	99.8%
4	98.1%	97.9%	98.3%	99.8%	99.7%	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%	99.8%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 95.4% in Italy are expected to live past 60, 71.5% and 89% past 70, 41.4% and 73.6% past 80, and only 8.69% and 35.6% 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

Italy

Male

Female

1x

Age	Probability of dying
	Bhutan			Italy
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	35.3%	38.6%	34.5%
99	39.6%	42.2%	38%	32.9%	36.1%	32%
98	37.6%	40.3%	36%	30.4%	33.7%	29.4%
97	35.6%	38.3%	34%	27.9%	31.2%	26.8%
96	33.7%	36.3%	32%	25.4%	28.7%	24.3%
95	31.7%	34.3%	30%	23.1%	26.2%	21.9%
94	29.8%	32.3%	28.1%	20.8%	23.9%	19.5%
93	27.9%	30.3%	26.3%	18.7%	21.7%	17.4%
92	26.1%	28.4%	24.4%	16.8%	19.6%	15.5%
91	24.2%	26.5%	22.6%	15.1%	17.7%	13.8%
90	22.5%	24.6%	20.8%	13.5%	15.9%	12.2%
89	20.7%	22.8%	19.1%	12%	14.2%	10.7%
88	19.1%	21.1%	17.5%	10.5%	12.5%	9.26%
87	17.6%	19.4%	16%	9.15%	11%	7.97%
86	16.1%	17.8%	14.7%	7.99%	9.68%	6.87%
85	14.7%	16.2%	13.4%	6.95%	8.46%	5.91%
84	13.4%	14.8%	12.2%	6.02%	7.37%	5.07%
83	12.2%	13.4%	11.1%	5.23%	6.42%	4.36%
82	11%	12.2%	9.98%	4.54%	5.61%	3.74%
81	9.96%	11.1%	8.96%	3.95%	4.93%	3.2%
80	8.98%	10%	8.02%	3.44%	4.32%	2.73%
79	8.09%	9.09%	7.15%	3%	3.79%	2.35%
78	7.28%	8.24%	6.37%	2.63%	3.34%	2.04%
77	6.56%	7.47%	5.67%	2.33%	2.99%	1.78%
76	5.91%	6.78%	5.06%	2.08%	2.69%	1.57%
75	5.33%	6.15%	4.52%	1.87%	2.43%	1.39%
74	4.82%	5.59%	4.05%	1.69%	2.2%	1.25%
73	4.35%	5.07%	3.63%	1.52%	1.99%	1.12%
72	3.92%	4.61%	3.25%	1.37%	1.79%	1%
71	3.54%	4.18%	2.91%	1.23%	1.61%	0.9%
70	3.19%	3.79%	2.6%	1.11%	1.44%	0.8%
69	2.88%	3.44%	2.32%	1%	1.31%	0.72%
68	2.6%	3.11%	2.07%	0.91%	1.2%	0.65%
67	2.34%	2.82%	1.84%	0.84%	1.1%	0.59%
66	2.11%	2.55%	1.64%	0.76%	0.99%	0.55%
65	1.9%	2.31%	1.46%	0.69%	0.9%	0.5%
64	1.71%	2.09%	1.31%	0.64%	0.82%	0.46%
63	1.55%	1.9%	1.17%	0.58%	0.75%	0.41%
62	1.41%	1.73%	1.06%	0.53%	0.68%	0.38%
61	1.29%	1.58%	0.96%	0.48%	0.62%	0.35%
60	1.17%	1.44%	0.87%	0.44%	0.57%	0.32%
59	1.07%	1.31%	0.79%	0.4%	0.51%	0.29%
58	0.97%	1.19%	0.72%	0.36%	0.47%	0.27%
57	0.88%	1.08%	0.66%	0.33%	0.42%	0.24%
56	0.8%	0.97%	0.6%	0.3%	0.38%	0.22%
55	0.72%	0.87%	0.55%	0.27%	0.34%	0.21%
54	0.65%	0.78%	0.5%	0.25%	0.31%	0.19%
53	0.59%	0.7%	0.46%	0.23%	0.28%	0.17%
52	0.54%	0.63%	0.42%	0.2%	0.26%	0.16%
51	0.49%	0.56%	0.39%	0.19%	0.23%	0.14%
50	0.44%	0.51%	0.36%	0.17%	0.21%	0.13%
49	0.4%	0.46%	0.33%	0.15%	0.18%	0.12%
48	0.37%	0.42%	0.3%	0.14%	0.17%	0.11%
47	0.33%	0.38%	0.28%	0.12%	0.15%	0.1%
46	0.3%	0.34%	0.25%	0.11%	0.14%	0.09%
45	0.27%	0.3%	0.23%	0.1%	0.13%	0.08%
44	0.24%	0.27%	0.21%	0.09%	0.11%	0.07%
43	0.22%	0.24%	0.19%	0.08%	0.1%	0.06%
42	0.2%	0.22%	0.18%	0.07%	0.09%	0.06%
41	0.18%	0.2%	0.16%	0.07%	0.09%	0.05%
40	0.17%	0.18%	0.15%	0.06%	0.08%	0.05%
39	0.15%	0.16%	0.14%	0.06%	0.07%	0.04%
38	0.14%	0.15%	0.13%	0.05%	0.06%	0.04%
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%	0.05%	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%	0.04%	0.02%
27	0.08%	0.1%	0.07%	0.03%	0.04%	0.02%
26	0.08%	0.1%	0.07%	0.03%	0.04%	0.02%
25	0.08%	0.1%	0.07%	0.03%	0.04%	0.02%
24	0.08%	0.1%	0.06%	0.02%	0.04%	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%	0.03%	0.01%
17	0.06%	0.07%	0.04%	0.02%	0.02%	0.01%
16	0.05%	0.06%	0.04%	0.01%	0.02%	0.009%
15	0.04%	0.05%	0.03%	0.01%	0.01%	0.008%
14	0.04%	0.04%	0.03%	0.009%	0.01%	0.007%
13	0.03%	0.04%	0.03%	0.007%	0.008%	0.006%
12	0.03%	0.03%	0.02%	0.006%	0.007%	0.005%
11	0.03%	0.03%	0.02%	0.006%	0.006%	0.005%
10	0.03%	0.03%	0.02%	0.006%	0.006%	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%	0.005%	0.004%
6	0.04%	0.04%	0.03%	0.005%	0.005%	0.005%
5	0.05%	0.05%	0.04%	0.005%	0.006%	0.005%
4	0.05%	0.06%	0.05%	0.006%	0.007%	0.006%
3	0.07%	0.07%	0.06%	0.007%	0.008%	0.006%
2	0.08%	0.08%	0.08%	0.007%	0.008%	0.007%
1	0.1%	0.1%	0.1%	0.02%	0.02%	0.02%
0	1.66%	1.86%	1.44%	0.21%	0.22%	0.19%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.21% in Italy, 0.09% vs 0.03% at age 30, 1.17% vs 0.44% at 60, and 8.98% vs 3.44% at 80.

Death rate by age in Bhutan vs Italy

Chart Table

Bhutan

Male

Female

Italy

Male

Female

1x

Age	Death rate
	Bhutan			Italy
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	823	339	1,226
99	137.5	76.2	220.6	1,326	795	1,783
98	209.6	121.7	326	1,758	1,118	2,319
97	309	187.5	467	2,238	1,507	2,892
96	439	278.9	647	2,738	1,944	3,460
95	606	401	868	3,225	2,407	3,981
94	811	558	1,131	3,673	2,883	4,420
93	1,054	753	1,431	4,066	3,342	4,765
92	1,331	984	1,759	4,388	3,752	5,017
91	1,633	1,249	2,102	4,640	4,111	5,179
90	1,952	1,541	2,447	4,795	4,395	5,221
89	2,275	1,849	2,779	4,834	4,577	5,128
88	2,591	2,162	3,089	4,737	4,625	4,892
87	2,886	2,466	3,368	4,547	4,565	4,575
86	3,150	2,749	3,608	4,315	4,441	4,236
85	3,375	2,998	3,803	4,030	4,239	3,871
84	3,551	3,206	3,943	3,718	3,985	3,501
83	3,674	3,367	4,022	3,406	3,709	3,148
82	3,741	3,482	4,033	3,101	3,435	2,806
81	3,754	3,550	3,979	2,808	3,173	2,476
80	3,718	3,576	3,867	2,530	2,912	2,174
79	3,643	3,564	3,714	2,275	2,654	1,918
78	3,536	3,521	3,533	2,048	2,420	1,698
77	3,409	3,451	3,336	1,859	2,230	1,508
76	3,267	3,358	3,135	1,697	2,065	1,347
75	3,113	3,248	2,935	1,556	1,913	1,216
74	2,953	3,125	2,738	1,428	1,767	1,103
73	2,787	2,990	2,545	1,307	1,628	1,001
72	2,618	2,846	2,356	1,192	1,493	906
71	2,449	2,696	2,171	1,084	1,365	817
70	2,281	2,541	1,992	984	1,244	735
69	2,119	2,386	1,820	899	1,143	664
68	1,961	2,230	1,657	828	1,061	604
67	1,809	2,077	1,503	764	981	555
66	1,664	1,929	1,361	701	894	515
65	1,528	1,788	1,231	643	815	477
64	1,404	1,656	1,115	594	757	436
63	1,293	1,534	1,012	544	697	395
62	1,193	1,421	922	497	637	360
61	1,101	1,317	842	458	584	334
60	1,015	1,218	772	421	533	311
59	935	1,124	709	385	485	285.4
58	859	1,033	652	350	443	260
57	787	943	600	321	405	237.7
56	719	857	551	292.8	368	218.2
55	655	775	506	265.2	331	200.4
54	595	699	466	240.3	298.2	183.2
53	542	631	429	219.6	272.7	166.6
52	494	571	396	200.1	247.9	152.4
51	451	518	366	181.5	223.5	139.4
50	412	471	339	163.7	200.6	126.5
49	377	428	313	147.8	180.6	114.7
48	343	388	288.2	134.3	163.9	104.3
47	312	350	264.6	122.5	149.9	94.8
46	282.8	315	242	111.5	137.2	85.4
45	255.5	283.2	220.8	100.6	124.2	76.6
44	230.7	254	201.4	89.9	110.6	68.8
43	208.8	228.2	184.2	80.6	99.1	61.8
42	189.6	205.7	169.1	73.5	91.2	55.5
41	173.2	186.5	156.2	67.1	83.9	50
40	159.2	170.2	145	61	76.2	45.5
39	147.1	156.5	135.1	55.5	68.6	42.1
38	136.8	144.9	126.3	50.3	61.9	38.6
37	127.7	135.2	118.3	46	57.2	34.5
36	119.9	126.9	110.9	42.3	53.7	30.4
35	113.1	119.9	104.2	39.2	50.8	27
34	107	113.8	98.1	36.7	48.4	24.3
33	101.7	108.5	92.7	34.7	46.3	22.3
32	97	103.9	88	32.7	44.4	20.3
31	93	100	83.9	30.5	42	18.2
30	89.5	96.8	80.2	28.4	39.1	16.8
29	86.6	94.4	76.9	27	37.1	15.9
28	84.2	92.9	73.9	26.6	36.7	15.2
27	82.4	92.3	70.9	26.7	37.1	15
26	81	92.6	68.1	26.7	36.9	15.5
25	80.1	93.6	65.3	26.1	36.1	15.3
24	79.3	94.7	62.5	24.6	35.2	13.4
23	78.5	95.7	59.9	23.7	34.6	12.1
22	77.4	95.9	57.3	24	34.7	12.8
21	75.5	94.7	54.6	24	34.2	13.3
20	72.4	91.5	51.6	22.5	32.5	11.9
19	67.8	85.7	48.2	21.4	31.1	11.1
18	61.8	77.7	44.2	19.8	28.5	10.6
17	54.7	68	39.9	17	23.7	9.83
16	47.4	58.1	35.5	13.7	18.3	8.79
15	40.6	49	31.3	10.9	13.8	7.8
14	34.9	41.5	27.7	8.59	10.3	6.75
13	30.7	36	24.8	6.87	7.94	5.73
12	27.9	32.5	22.8	5.85	6.64	5.02
11	26.4	30.8	21.6	5.63	6.4	4.82
10	26.2	30.6	21.3	5.6	6.4	4.74
9	27.2	31.9	22	5.23	5.98	4.44
8	29.2	34.5	23.7	4.88	5.54	4.17
7	32.7	38.4	26.7	4.69	5.21	4.14
6	37.6	43.7	31.2	4.8	5.09	4.49
5	44.3	50.3	37.9	5.32	5.51	5.13
4	53	58.5	47.2	6.2	6.66	5.71
3	64.3	68.3	60	6.79	7.54	5.99
2	78.6	80.1	77.1	7.4	8.03	6.73
1	96.8	94	99.8	18.9	19.8	17.9
0	1,655	1,861	1,440	206.6	218.2	194.3

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 Italy. The median age of death is 77.6 in Bhutan and 86.9 in Italy, 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 Italy more than their death rates.

Life expectancy in other countries

+ -

1x