Life Expectancy in Bhutan vs Marshall Islands (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Marshall Islands

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	101.9	101.8	102
99	100.9	100.8	101	101	100.9	101
98	100	99.9	100.1	100.1	100	100.1
97	99.1	99	99.2	99.2	99	99.2
96	98.2	98.1	98.3	98.3	98.2	98.3
95	97.4	97.2	97.5	97.4	97.3	97.5
94	96.5	96.3	96.6	96.6	96.4	96.6
93	95.7	95.5	95.8	95.7	95.5	95.8
92	94.8	94.6	95	94.9	94.7	95
91	94	93.8	94.2	94	93.8	94.1
90	93.2	93	93.4	93.2	93	93.3
89	92.5	92.2	92.7	92.4	92.2	92.6
88	91.7	91.4	92	91.7	91.4	91.8
87	91	90.7	91.2	90.9	90.6	91
86	90.3	89.9	90.5	90.2	89.8	90.3
85	89.6	89.2	89.9	89.4	89	89.6
84	88.9	88.5	89.2	88.7	88.3	88.9
83	88.2	87.8	88.6	88	87.5	88.2
82	87.6	87.2	88	87.3	86.8	87.6
81	87	86.6	87.4	86.6	86.1	86.9
80	86.4	85.9	86.8	85.9	85.4	86.3
79	85.8	85.4	86.3	85.3	84.7	85.7
78	85.3	84.8	85.8	84.6	84.1	85.2
77	84.8	84.2	85.3	84	83.4	84.6
76	84.3	83.7	84.9	83.5	82.8	84.1
75	83.8	83.2	84.5	82.9	82.2	83.6
74	83.4	82.7	84.1	82.3	81.6	83.1
73	83	82.3	83.7	81.8	81	82.6
72	82.5	81.8	83.3	81.3	80.5	82.2
71	82.2	81.4	83	80.8	79.9	81.7
70	81.8	81	82.7	80.3	79.4	81.3
69	81.4	80.6	82.4	79.9	78.9	80.9
68	81.1	80.2	82.1	79.4	78.4	80.6
67	80.8	79.8	81.8	79	77.9	80.2
66	80.5	79.5	81.5	78.6	77.4	79.9
65	80.2	79.2	81.3	78.2	77	79.5
64	79.9	78.9	81.1	77.8	76.6	79.2
63	79.7	78.6	80.9	77.5	76.1	78.9
62	79.4	78.3	80.7	77.1	75.7	78.6
61	79.2	78	80.5	76.8	75.4	78.4
60	79	77.8	80.3	76.4	75	78.1
59	78.8	77.5	80.2	76.1	74.6	77.8
58	78.6	77.3	80	75.8	74.3	77.6
57	78.4	77.1	79.9	75.5	74	77.3
56	78.2	76.9	79.7	75.3	73.7	77.1
55	78	76.7	79.6	75	73.4	76.9
54	77.9	76.5	79.5	74.7	73.1	76.6
53	77.7	76.4	79.3	74.5	72.8	76.4
52	77.6	76.2	79.2	74.3	72.6	76.2
51	77.5	76.1	79.1	74	72.3	76
50	77.4	76	79	73.8	72.1	75.8
49	77.3	75.8	78.9	73.6	71.9	75.7
48	77.1	75.7	78.8	73.4	71.7	75.5
47	77	75.6	78.7	73.2	71.5	75.3
46	77	75.5	78.7	73.1	71.3	75.2
45	76.9	75.4	78.6	72.9	71.1	75
44	76.8	75.3	78.5	72.7	70.9	74.8
43	76.7	75.3	78.4	72.6	70.7	74.7
42	76.7	75.2	78.4	72.4	70.6	74.6
41	76.6	75.1	78.3	72.3	70.4	74.4
40	76.5	75.1	78.3	72.2	70.3	74.3
39	76.5	75	78.2	72	70.2	74.2
38	76.4	75	78.2	71.9	70	74
37	76.4	74.9	78.1	71.8	69.9	73.9
36	76.3	74.9	78.1	71.7	69.8	73.8
35	76.3	74.8	78	71.5	69.7	73.7
34	76.2	74.8	78	71.4	69.5	73.6
33	76.2	74.7	77.9	71.3	69.4	73.5
32	76.1	74.7	77.9	71.2	69.3	73.4
31	76.1	74.6	77.8	71.1	69.2	73.3
30	76	74.6	77.8	71	69.1	73.2
29	76	74.5	77.8	70.9	69	73.1
28	76	74.5	77.7	70.8	68.9	73
27	75.9	74.4	77.7	70.7	68.8	72.9
26	75.9	74.4	77.7	70.6	68.7	72.8
25	75.8	74.3	77.6	70.5	68.6	72.7
24	75.8	74.3	77.6	70.4	68.5	72.6
23	75.8	74.2	77.6	70.3	68.4	72.5
22	75.7	74.2	77.5	70.2	68.2	72.4
21	75.7	74.1	77.5	70.1	68.1	72.3
20	75.6	74.1	77.5	70	68	72.2
19	75.6	74	77.4	69.9	67.9	72.1
18	75.6	74	77.4	69.8	67.8	72
17	75.5	74	77.4	69.7	67.7	72
16	75.5	73.9	77.4	69.6	67.7	71.9
15	75.5	73.9	77.3	69.6	67.6	71.8
14	75.4	73.9	77.3	69.5	67.6	71.8
13	75.4	73.9	77.3	69.5	67.5	71.7
12	75.4	73.8	77.3	69.4	67.5	71.7
11	75.4	73.8	77.3	69.4	67.5	71.6
10	75.4	73.8	77.3	69.4	67.4	71.6
9	75.4	73.8	77.2	69.3	67.4	71.6
8	75.3	73.7	77.2	69.3	67.4	71.5
7	75.3	73.7	77.2	69.2	67.3	71.5
6	75.3	73.7	77.2	69.2	67.3	71.4
5	75.3	73.7	77.2	69.1	67.2	71.4
4	75.2	73.6	77.1	69.1	67.2	71.3
3	75.2	73.6	77.1	69.1	67.1	71.3
2	75.1	73.5	77	69	67	71.2
1	75	73.4	76.9	68.8	66.8	71
0	73.8	72.1	75.8	67.3	65.2	69.8

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 71 in the Marshall Islands, rising to 80.2 and 78.2 at 65, and to 86.4 and 85.9 at 80 — higher than the 73.8 and 67.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Marshall Islands

Male

Female

1x

Age	Survival probability
	Bhutan			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	0.12%	0.06%	0.2%
99	0.35%	0.18%	0.58%	0.2%	0.09%	0.33%
98	0.56%	0.3%	0.91%	0.32%	0.15%	0.51%
97	0.87%	0.49%	1.37%	0.48%	0.24%	0.77%
96	1.31%	0.77%	2.02%	0.72%	0.37%	1.14%
95	1.91%	1.17%	2.89%	1.05%	0.56%	1.63%
94	2.72%	1.73%	4.02%	1.49%	0.82%	2.29%
93	3.78%	2.48%	5.45%	2.07%	1.17%	3.13%
92	5.11%	3.46%	7.21%	2.81%	1.63%	4.18%
91	6.74%	4.71%	9.31%	3.71%	2.22%	5.46%
90	8.69%	6.25%	11.8%	4.8%	2.96%	7%
89	11%	8.1%	14.5%	6.11%	3.88%	8.79%
88	13.6%	10.3%	17.6%	7.61%	4.98%	10.8%
87	16.4%	12.7%	21%	9.3%	6.28%	13.1%
86	19.6%	15.5%	24.6%	11.2%	7.79%	15.7%
85	23%	18.5%	28.4%	13.4%	9.49%	18.4%
84	26.5%	21.7%	32.3%	15.7%	11.4%	21.3%
83	30.2%	25.1%	36.4%	18.2%	13.5%	24.4%
82	33.9%	28.5%	40.4%	20.9%	15.7%	27.6%
81	37.7%	32.1%	44.4%	23.7%	18.2%	30.8%
80	41.4%	35.7%	48.3%	26.7%	20.7%	34%
79	45%	39.2%	52%	29.6%	23.4%	37.3%
78	48.6%	42.7%	55.5%	32.6%	26.2%	40.5%
77	52%	46.2%	58.8%	35.6%	29%	43.6%
76	55.3%	49.6%	62%	38.6%	31.9%	46.6%
75	58.4%	52.8%	64.9%	41.5%	34.8%	49.6%
74	61.3%	55.9%	67.6%	44.4%	37.7%	52.4%
73	64.1%	58.9%	70.2%	47.3%	40.6%	55%
72	66.7%	61.8%	72.5%	50%	43.5%	57.6%
71	69.2%	64.5%	74.7%	52.7%	46.3%	60%
70	71.5%	67%	76.7%	55.2%	49%	62.2%
69	73.6%	69.4%	78.5%	57.6%	51.7%	64.4%
68	75.5%	71.6%	80.2%	59.9%	54.2%	66.3%
67	77.4%	73.7%	81.7%	62.2%	56.7%	68.2%
66	79%	75.6%	83%	64.3%	59.1%	70%
65	80.5%	77.4%	84.3%	66.3%	61.4%	71.6%
64	81.9%	79.1%	85.4%	68.2%	63.7%	73.1%
63	83.2%	80.6%	86.4%	70%	65.7%	74.5%
62	84.4%	82%	87.3%	71.6%	67.7%	75.9%
61	85.5%	83.3%	88.2%	73.2%	69.6%	77.1%
60	86.6%	84.6%	88.9%	74.7%	71.4%	78.3%
59	87.5%	85.7%	89.6%	76.1%	73%	79.5%
58	88.3%	86.7%	90.3%	77.5%	74.6%	80.5%
57	89.1%	87.7%	90.9%	78.7%	76%	81.5%
56	89.9%	88.5%	91.5%	79.9%	77.4%	82.5%
55	90.5%	89.3%	92%	81%	78.7%	83.3%
54	91.1%	90%	92.4%	82%	79.9%	84.2%
53	91.6%	90.6%	92.9%	82.9%	81%	84.9%
52	92.1%	91.2%	93.2%	83.8%	82%	85.7%
51	92.6%	91.7%	93.6%	84.6%	83%	86.3%
50	93%	92.2%	94%	85.4%	83.9%	87%
49	93.4%	92.6%	94.3%	86.1%	84.7%	87.6%
48	93.7%	93%	94.6%	86.8%	85.5%	88.2%
47	94%	93.3%	94.8%	87.4%	86.2%	88.7%
46	94.3%	93.7%	95.1%	88%	86.9%	89.2%
45	94.6%	93.9%	95.3%	88.6%	87.5%	89.7%
44	94.8%	94.2%	95.5%	89.1%	88.1%	90.1%
43	95%	94.4%	95.7%	89.6%	88.6%	90.5%
42	95.2%	94.6%	95.8%	90%	89.1%	90.9%
41	95.4%	94.8%	96%	90.4%	89.6%	91.3%
40	95.5%	95%	96.1%	90.8%	90%	91.7%
39	95.7%	95.1%	96.3%	91.2%	90.4%	92%
38	95.8%	95.3%	96.4%	91.5%	90.8%	92.3%
37	95.9%	95.4%	96.5%	91.8%	91.1%	92.6%
36	96.1%	95.5%	96.6%	92.2%	91.5%	92.9%
35	96.2%	95.7%	96.7%	92.5%	91.8%	93.2%
34	96.3%	95.8%	96.8%	92.7%	92.1%	93.4%
33	96.4%	95.9%	96.9%	93%	92.4%	93.7%
32	96.5%	96%	97%	93.3%	92.6%	93.9%
31	96.6%	96.1%	97.1%	93.5%	92.9%	94.2%
30	96.7%	96.2%	97.2%	93.7%	93.2%	94.4%
29	96.8%	96.3%	97.3%	94%	93.4%	94.6%
28	96.8%	96.4%	97.3%	94.2%	93.7%	94.8%
27	96.9%	96.5%	97.4%	94.4%	93.9%	95%
26	97%	96.6%	97.5%	94.6%	94.1%	95.2%
25	97.1%	96.7%	97.5%	94.9%	94.4%	95.4%
24	97.2%	96.8%	97.6%	95.1%	94.6%	95.6%
23	97.2%	96.8%	97.7%	95.3%	94.9%	95.7%
22	97.3%	96.9%	97.7%	95.5%	95.1%	95.9%
21	97.4%	97%	97.8%	95.7%	95.3%	96.1%
20	97.5%	97.1%	97.8%	95.9%	95.6%	96.3%
19	97.5%	97.2%	97.9%	96.1%	95.8%	96.5%
18	97.6%	97.3%	97.9%	96.3%	96%	96.6%
17	97.6%	97.4%	97.9%	96.4%	96.1%	96.8%
16	97.7%	97.4%	98%	96.6%	96.2%	96.9%
15	97.7%	97.5%	98%	96.7%	96.3%	97%
14	97.8%	97.5%	98%	96.8%	96.4%	97.1%
13	97.8%	97.5%	98.1%	96.8%	96.5%	97.2%
12	97.8%	97.6%	98.1%	96.9%	96.6%	97.2%
11	97.9%	97.6%	98.1%	96.9%	96.6%	97.3%
10	97.9%	97.6%	98.1%	97%	96.7%	97.4%
9	97.9%	97.7%	98.2%	97.1%	96.7%	97.4%
8	97.9%	97.7%	98.2%	97.1%	96.8%	97.5%
7	98%	97.7%	98.2%	97.2%	96.8%	97.6%
6	98%	97.8%	98.2%	97.3%	96.9%	97.6%
5	98.1%	97.8%	98.3%	97.4%	97%	97.7%
4	98.1%	97.9%	98.3%	97.4%	97%	97.8%
3	98.2%	98%	98.4%	97.4%	97.1%	97.8%
2	98.2%	98%	98.5%	97.6%	97.3%	97.9%
1	98.3%	98.1%	98.6%	97.9%	97.6%	98.2%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 74.7% in the Marshall Islands are expected to live past 60, 71.5% and 55.2% past 70, 41.4% and 26.7% past 80, and only 8.69% and 4.8% 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

Marshall Islands

Male

Female

1x

Age	Probability of dying
	Bhutan			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	40%	42%	39.7%
99	39.6%	42.2%	38%	38.3%	40.2%	37.8%
98	37.6%	40.3%	36%	36.4%	38.5%	36%
97	35.6%	38.3%	34%	34.7%	36.8%	34.1%
96	33.7%	36.3%	32%	33%	35.1%	32.2%
95	31.7%	34.3%	30%	31.2%	33.4%	30.4%
94	29.8%	32.3%	28.1%	29.6%	31.6%	28.6%
93	27.9%	30.3%	26.3%	27.9%	29.9%	26.8%
92	26.1%	28.4%	24.4%	26.1%	28.3%	25.1%
91	24.2%	26.5%	22.6%	24.3%	26.7%	23.5%
90	22.5%	24.6%	20.8%	22.8%	25.1%	21.9%
89	20.7%	22.8%	19.1%	21.3%	23.6%	20.4%
88	19.1%	21.1%	17.5%	19.7%	22.1%	18.9%
87	17.6%	19.4%	16%	18.3%	20.7%	17.5%
86	16.1%	17.8%	14.7%	17.1%	19.3%	16.2%
85	14.7%	16.2%	13.4%	16%	18%	14.9%
84	13.4%	14.8%	12.2%	14.9%	16.7%	13.7%
83	12.2%	13.4%	11.1%	13.8%	15.5%	12.5%
82	11%	12.2%	9.98%	12.9%	14.4%	11.5%
81	9.96%	11.1%	8.96%	11.9%	13.3%	10.5%
80	8.98%	10%	8.02%	11%	12.3%	9.55%
79	8.09%	9.09%	7.15%	9.98%	11.4%	8.7%
78	7.28%	8.24%	6.37%	9.2%	10.6%	7.91%
77	6.56%	7.47%	5.67%	8.48%	9.8%	7.18%
76	5.91%	6.78%	5.06%	7.7%	9.06%	6.52%
75	5.33%	6.15%	4.52%	7.06%	8.37%	5.91%
74	4.82%	5.59%	4.05%	6.53%	7.72%	5.35%
73	4.35%	5.07%	3.63%	6.01%	7.11%	4.85%
72	3.92%	4.61%	3.25%	5.52%	6.56%	4.4%
71	3.54%	4.18%	2.91%	5.04%	6.05%	3.99%
70	3.19%	3.79%	2.6%	4.57%	5.58%	3.63%
69	2.88%	3.44%	2.32%	4.17%	5.15%	3.3%
68	2.6%	3.11%	2.07%	3.88%	4.76%	3%
67	2.34%	2.82%	1.84%	3.6%	4.4%	2.73%
66	2.11%	2.55%	1.64%	3.29%	4.06%	2.49%
65	1.9%	2.31%	1.46%	3%	3.75%	2.28%
64	1.71%	2.09%	1.31%	2.77%	3.46%	2.09%
63	1.55%	1.9%	1.17%	2.55%	3.19%	1.92%
62	1.41%	1.73%	1.06%	2.34%	2.93%	1.77%
61	1.29%	1.58%	0.96%	2.17%	2.7%	1.64%
60	1.17%	1.44%	0.87%	2.01%	2.47%	1.52%
59	1.07%	1.31%	0.79%	1.86%	2.27%	1.42%
58	0.97%	1.19%	0.72%	1.71%	2.08%	1.32%
57	0.88%	1.08%	0.66%	1.58%	1.91%	1.22%
56	0.8%	0.97%	0.6%	1.46%	1.76%	1.14%
55	0.72%	0.87%	0.55%	1.34%	1.62%	1.05%
54	0.65%	0.78%	0.5%	1.23%	1.49%	0.98%
53	0.59%	0.7%	0.46%	1.14%	1.37%	0.91%
52	0.54%	0.63%	0.42%	1.06%	1.27%	0.85%
51	0.49%	0.56%	0.39%	0.99%	1.17%	0.79%
50	0.44%	0.51%	0.36%	0.91%	1.07%	0.74%
49	0.4%	0.46%	0.33%	0.84%	0.99%	0.69%
48	0.37%	0.42%	0.3%	0.78%	0.91%	0.65%
47	0.33%	0.38%	0.28%	0.72%	0.83%	0.61%
46	0.3%	0.34%	0.25%	0.67%	0.77%	0.57%
45	0.27%	0.3%	0.23%	0.61%	0.7%	0.53%
44	0.24%	0.27%	0.21%	0.57%	0.65%	0.49%
43	0.22%	0.24%	0.19%	0.53%	0.6%	0.46%
42	0.2%	0.22%	0.18%	0.49%	0.55%	0.43%
41	0.18%	0.2%	0.16%	0.46%	0.51%	0.41%
40	0.17%	0.18%	0.15%	0.43%	0.48%	0.39%
39	0.15%	0.16%	0.14%	0.41%	0.45%	0.37%
38	0.14%	0.15%	0.13%	0.38%	0.42%	0.35%
37	0.13%	0.14%	0.12%	0.36%	0.39%	0.33%
36	0.12%	0.13%	0.11%	0.34%	0.37%	0.31%
35	0.12%	0.13%	0.11%	0.32%	0.35%	0.29%
34	0.11%	0.12%	0.1%	0.3%	0.33%	0.28%
33	0.11%	0.11%	0.1%	0.29%	0.31%	0.26%
32	0.1%	0.11%	0.09%	0.27%	0.3%	0.25%
31	0.1%	0.1%	0.09%	0.26%	0.29%	0.24%
30	0.09%	0.1%	0.08%	0.26%	0.28%	0.24%
29	0.09%	0.1%	0.08%	0.25%	0.27%	0.23%
28	0.09%	0.1%	0.08%	0.24%	0.26%	0.22%
27	0.08%	0.1%	0.07%	0.24%	0.26%	0.21%
26	0.08%	0.1%	0.07%	0.23%	0.25%	0.2%
25	0.08%	0.1%	0.07%	0.23%	0.25%	0.2%
24	0.08%	0.1%	0.06%	0.22%	0.25%	0.19%
23	0.08%	0.1%	0.06%	0.22%	0.25%	0.19%
22	0.08%	0.1%	0.06%	0.22%	0.25%	0.19%
21	0.08%	0.1%	0.06%	0.22%	0.25%	0.19%
20	0.07%	0.09%	0.05%	0.21%	0.24%	0.19%
19	0.07%	0.09%	0.05%	0.2%	0.22%	0.18%
18	0.06%	0.08%	0.05%	0.18%	0.2%	0.17%
17	0.06%	0.07%	0.04%	0.16%	0.17%	0.15%
16	0.05%	0.06%	0.04%	0.13%	0.13%	0.13%
15	0.04%	0.05%	0.03%	0.11%	0.11%	0.11%
14	0.04%	0.04%	0.03%	0.09%	0.08%	0.09%
13	0.03%	0.04%	0.03%	0.07%	0.07%	0.08%
12	0.03%	0.03%	0.02%	0.06%	0.06%	0.07%
11	0.03%	0.03%	0.02%	0.06%	0.06%	0.06%
10	0.03%	0.03%	0.02%	0.06%	0.05%	0.06%
9	0.03%	0.03%	0.02%	0.06%	0.06%	0.06%
8	0.03%	0.04%	0.02%	0.07%	0.06%	0.07%
7	0.03%	0.04%	0.03%	0.07%	0.07%	0.07%
6	0.04%	0.04%	0.03%	0.08%	0.08%	0.08%
5	0.05%	0.05%	0.04%	0.09%	0.09%	0.09%
4	0.05%	0.06%	0.05%	0.03%	0.03%	0.03%
3	0.07%	0.07%	0.06%	0.06%	0.07%	0.05%
2	0.08%	0.08%	0.08%	0.15%	0.17%	0.14%
1	0.1%	0.1%	0.1%	0.31%	0.33%	0.28%
0	1.66%	1.86%	1.44%	2.1%	2.41%	1.78%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 2.1% in the Marshall Islands, 0.09% vs 0.26% at age 30, 1.17% vs 2.01% at 60, and 8.98% vs 11% at 80.

Death rate by age in Bhutan vs Marshall Islands

Chart Table

Bhutan

Male

Female

Marshall Islands

Male

Female

1x

Age	Death rate
	Bhutan			Marshall Islands
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	0	0	7
99	137.5	76.2	220.6	77.2	37.7	123.1
98	209.6	121.7	326	115.1	58.8	182.7
97	309	187.5	467	168.1	88.9	262.8
96	439	278.9	647	239.1	130.6	367
95	606	401	868	329	186.3	497
94	811	558	1,131	442	258.4	655
93	1,054	753	1,431	579	349	840
92	1,331	984	1,759	732	460	1,051
91	1,633	1,249	2,102	902	591	1,284
90	1,952	1,541	2,447	1,094	744	1,534
89	2,275	1,849	2,779	1,303	915	1,793
88	2,591	2,162	3,089	1,500	1,103	2,052
87	2,886	2,466	3,368	1,698	1,301	2,303
86	3,150	2,749	3,608	1,913	1,505	2,536
85	3,375	2,998	3,803	2,138	1,707	2,743
84	3,551	3,206	3,943	2,332	1,903	2,918
83	3,674	3,367	4,022	2,514	2,089	3,057
82	3,741	3,482	4,033	2,692	2,261	3,159
81	3,754	3,550	3,979	2,834	2,418	3,223
80	3,718	3,576	3,867	2,924	2,557	3,249
79	3,643	3,564	3,714	2,955	2,676	3,241
78	3,536	3,521	3,533	3,000	2,772	3,201
77	3,409	3,451	3,336	3,019	2,844	3,132
76	3,267	3,358	3,135	2,971	2,891	3,039
75	3,113	3,248	2,935	2,932	2,912	2,928
74	2,953	3,125	2,738	2,899	2,911	2,803
73	2,787	2,990	2,545	2,841	2,890	2,671
72	2,618	2,846	2,356	2,764	2,851	2,533
71	2,449	2,696	2,171	2,658	2,799	2,395
70	2,281	2,541	1,992	2,523	2,736	2,258
69	2,119	2,386	1,820	2,405	2,663	2,123
68	1,961	2,230	1,657	2,325	2,582	1,992
67	1,809	2,077	1,503	2,239	2,495	1,865
66	1,664	1,929	1,361	2,116	2,403	1,744
65	1,528	1,788	1,231	1,992	2,305	1,630
64	1,404	1,656	1,115	1,891	2,203	1,525
63	1,293	1,534	1,012	1,783	2,097	1,429
62	1,193	1,421	922	1,680	1,987	1,343
61	1,101	1,317	842	1,587	1,877	1,265
60	1,015	1,218	772	1,504	1,767	1,193
59	935	1,124	709	1,414	1,658	1,126
58	859	1,033	652	1,322	1,555	1,061
57	787	943	600	1,242	1,456	998
56	719	857	551	1,164	1,362	936
55	655	775	506	1,087	1,274	877
54	595	699	466	1,009	1,191	821
53	542	631	429	942	1,113	770
52	494	571	396	887	1,038	724
51	451	518	366	834	967	682
50	412	471	339	779	899	644
49	377	428	313	724	835	608
48	343	388	288.2	674	775	574
47	312	350	264.6	629	718	539
46	282.8	315	242	585	665	506
45	255.5	283.2	220.8	545	616	473
44	230.7	254	201.4	507	571	443
43	208.8	228.2	184.2	473	530	416
42	189.6	205.7	169.1	443	494	392
41	173.2	186.5	156.2	416	460	372
40	159.2	170.2	145	392	430	353
39	147.1	156.5	135.1	370	403	337
38	136.8	144.9	126.3	349	379	321
37	127.7	135.2	118.3	330	356	305
36	119.9	126.9	110.9	312	336	289
35	113.1	119.9	104.2	294.9	318	273.7
34	107	113.8	98.1	279.2	301	259.7
33	101.7	108.5	92.7	265.7	287.2	247.4
32	97	103.9	88	254.9	275.1	237.2
31	93	100	83.9	246.4	264.9	228.9
30	89.5	96.8	80.2	239.2	256.6	221.9
29	86.6	94.4	76.9	233.4	250.1	215.4
28	84.2	92.9	73.9	227.9	245	208.7
27	82.4	92.3	70.9	222.6	241.4	201.5
26	81	92.6	68.1	218.1	239	194.1
25	80.1	93.6	65.3	214.6	237.8	187.1
24	79.3	94.7	62.5	212.4	237.8	181.7
23	78.5	95.7	59.9	211.2	238.3	178.6
22	77.4	95.9	57.3	210	238.3	177.9
21	75.5	94.7	54.6	208.7	235.8	178.7
20	72.4	91.5	51.6	204.7	227.9	178.6
19	67.8	85.7	48.2	195.1	212.5	175
18	61.8	77.7	44.2	178	189	165.4
17	54.7	68	39.9	154.6	159.5	149
16	47.4	58.1	35.5	128.9	129.2	128.6
15	40.6	49	31.3	104.8	102.2	107.6
14	34.9	41.5	27.7	85.3	81.2	89.5
13	30.7	36	24.8	71.3	66.7	76.1
12	27.9	32.5	22.8	62.3	57.7	67.2
11	26.4	30.8	21.6	57.9	53.3	62.7
10	26.2	30.6	21.3	57	52.6	61.6
9	27.2	31.9	22	59.1	55	63.3
8	29.2	34.5	23.7	63.6	60.2	67.1
7	32.7	38.4	26.7	70	67.7	72.4
6	37.6	43.7	31.2	78	77.4	78.7
5	44.3	50.3	37.9	87.3	89.2	85.3
4	53	58.5	47.2	32.5	33.5	31.4
3	64.3	68.3	60	58.2	63.4	52.7
2	78.6	80.1	77.1	147.2	160.7	132.8
1	96.8	94	99.8	299.2	325	271.2
0	1,655	1,861	1,440	2,105	2,408	1,781

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 77 in the Marshall Islands. The median age of death is 77.6 in Bhutan and 72 in the Marshall Islands, 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 the Marshall Islands more than their death rates.

Life expectancy in other countries

+ -

1x