Life Expectancy in Bhutan vs Liberia (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Bhutan vs Liberia: 75.9 years vs 69.3 at 30, 80.1 vs 77.4 at 65, 86.3 vs 85.4 at 80 — significantly higher than the 73.5 vs 62.5 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Bhutan and Liberia.

Table

Current age, years	Total life expectancy, years
	Bhutan			Liberia
	Average	Male	Female	Average	Male	Female
0	73.5	71.8	75.6	62.5	61.1	63.8
1	74.8	73.2	76.7	66	65	67.1
2	74.9	73.3	76.8	66.5	65.4	67.5
3	75	73.4	76.9	66.7	65.7	67.7
4	75	73.4	76.9	66.9	65.9	67.9
5	75.1	73.5	76.9	67.1	66	68.1
6	75.1	73.5	77	67.2	66.2	68.1
7	75.1	73.5	77	67.2	66.2	68.2
8	75.1	73.6	77	67.3	66.3	68.3
9	75.2	73.6	77	67.4	66.4	68.4
10	75.2	73.6	77.1	67.4	66.4	68.4
11	75.2	73.6	77.1	67.5	66.5	68.5
12	75.2	73.7	77.1	67.5	66.6	68.5
13	75.2	73.7	77.1	67.6	66.6	68.6
14	75.3	73.7	77.1	67.7	66.7	68.6
15	75.3	73.7	77.1	67.7	66.7	68.7
16	75.3	73.8	77.2	67.8	66.8	68.7
17	75.3	73.8	77.2	67.9	66.9	68.8
18	75.4	73.8	77.2	67.9	67	68.9
19	75.4	73.9	77.2	68	67.1	69
20	75.4	73.9	77.3	68.1	67.2	69.1
21	75.5	74	77.3	68.2	67.3	69.1
22	75.5	74	77.3	68.4	67.4	69.2
23	75.6	74.1	77.4	68.5	67.6	69.3
24	75.6	74.1	77.4	68.6	67.7	69.4
25	75.7	74.2	77.4	68.7	67.8	69.5
26	75.7	74.2	77.5	68.8	68	69.6
27	75.7	74.3	77.5	68.9	68.1	69.7
28	75.8	74.3	77.5	69.1	68.2	69.9
29	75.8	74.4	77.6	69.2	68.4	70
30	75.9	74.4	77.6	69.3	68.5	70.1
31	75.9	74.5	77.6	69.4	68.6	70.2
32	75.9	74.5	77.7	69.6	68.8	70.3
33	76	74.5	77.7	69.7	68.9	70.5
34	76	74.6	77.8	69.8	69.1	70.6
35	76.1	74.6	77.8	70	69.2	70.7
36	76.1	74.7	77.9	70.1	69.4	70.9
37	76.2	74.7	77.9	70.3	69.5	71
38	76.2	74.8	78	70.4	69.7	71.2
39	76.3	74.9	78	70.6	69.9	71.3
40	76.4	74.9	78.1	70.8	70	71.5
41	76.4	75	78.1	71	70.2	71.6
42	76.5	75	78.2	71.1	70.4	71.8
43	76.5	75.1	78.3	71.3	70.6	72
44	76.6	75.2	78.3	71.5	70.8	72.2
45	76.7	75.3	78.4	71.7	71	72.3
46	76.8	75.4	78.5	71.9	71.2	72.5
47	76.9	75.5	78.6	72.1	71.4	72.7
48	77	75.6	78.6	72.3	71.7	72.9
49	77.1	75.7	78.7	72.5	71.9	73.1
50	77.2	75.8	78.8	72.8	72.2	73.4
51	77.3	75.9	78.9	73	72.4	73.6
52	77.4	76.1	79.1	73.3	72.7	73.8
53	77.6	76.2	79.2	73.5	73	74.1
54	77.7	76.4	79.3	73.8	73.3	74.3
55	77.9	76.6	79.4	74.1	73.6	74.6
56	78.1	76.8	79.6	74.4	73.9	74.8
57	78.2	77	79.7	74.7	74.2	75.1
58	78.4	77.2	79.9	75	74.5	75.4
59	78.6	77.4	80	75.3	74.8	75.7
60	78.8	77.7	80.2	75.6	75.2	76
61	79.1	77.9	80.4	75.9	75.6	76.3
62	79.3	78.2	80.5	76.3	75.9	76.6
63	79.5	78.5	80.7	76.7	76.3	76.9
64	79.8	78.8	80.9	77	76.8	77.3
65	80.1	79.1	81.2	77.4	77.2	77.6
66	80.4	79.4	81.4	77.8	77.6	78
67	80.7	79.7	81.7	78.3	78.1	78.4
68	81	80.1	81.9	78.7	78.5	78.8
69	81.3	80.5	82.2	79.1	79	79.2
70	81.7	80.9	82.5	79.6	79.5	79.7
71	82.1	81.3	82.9	80.1	80	80.2
72	82.4	81.7	83.2	80.6	80.6	80.6
73	82.9	82.2	83.6	81.1	81.1	81.2
74	83.3	82.7	84	81.7	81.7	81.7
75	83.8	83.1	84.4	82.2	82.2	82.3
76	84.2	83.7	84.8	82.8	82.8	82.8
77	84.7	84.2	85.3	83.4	83.5	83.4
78	85.2	84.7	85.7	84.1	84.1	84.1
79	85.8	85.3	86.2	84.7	84.7	84.7
80	86.3	85.9	86.8	85.4	85.4	85.4
81	86.9	86.5	87.3	86.1	86.1	86
82	87.5	87.1	87.9	86.7	86.8	86.7
83	88.2	87.8	88.5	87.5	87.5	87.4
84	88.8	88.5	89.2	88.2	88.2	88.2
85	89.5	89.2	89.8	89	89	88.9
86	90.2	89.9	90.5	89.7	89.8	89.7
87	90.9	90.6	91.2	90.5	90.6	90.5
88	91.7	91.4	91.9	91.3	91.4	91.3
89	92.4	92.2	92.7	92.1	92.2	92.1
90	93.2	93	93.4	92.9	93	92.9
91	94	93.8	94.2	93.8	93.8	93.7
92	94.8	94.6	95	94.6	94.7	94.6
93	95.6	95.4	95.8	95.5	95.5	95.4
94	96.5	96.3	96.6	96.4	96.4	96.3
95	97.3	97.2	97.5	97.2	97.3	97.2
96	98.2	98.1	98.3	98.1	98.2	98.1
97	99.1	98.9	99.2	99	99.1	99
98	100	99.8	100.1	99.9	100	99.9
99	100.9	100.8	101	100.9	100.9	100.8
100	101.8	101.7	101.9	101.8	101.8	101.8

Odds of living to age in Bhutan vs Liberia

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.2% in Bhutan and 67.9% in Liberia are expected to survive till at least 60 years old, 70.9% and 48.7% will live to 70 years or older, 40.7% and 21.4% to 80+ years, and 8.34% and 3% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Bhutan			Liberia
	Average	Male	Female	Average	Male	Female
1	98.3%	98%	98.5%	94.6%	94%	95.1%
2	98.2%	98%	98.4%	93.9%	93.4%	94.5%
3	98.1%	97.9%	98.3%	93.6%	93%	94.1%
4	98%	97.8%	98.2%	93.3%	92.7%	93.9%
5	98%	97.7%	98.2%	93.1%	92.5%	93.7%
6	97.9%	97.7%	98.1%	92.9%	92.3%	93.5%
7	97.9%	97.6%	98.1%	92.8%	92.2%	93.4%
8	97.8%	97.6%	98.1%	92.7%	92.1%	93.3%
9	97.8%	97.6%	98.1%	92.6%	92%	93.2%
10	97.8%	97.5%	98%	92.5%	91.9%	93.1%
11	97.7%	97.5%	98%	92.4%	91.8%	93%
12	97.7%	97.5%	98%	92.3%	91.7%	93%
13	97.7%	97.4%	98%	92.2%	91.6%	92.9%
14	97.7%	97.4%	97.9%	92.1%	91.5%	92.8%
15	97.6%	97.4%	97.9%	92%	91.4%	92.7%
16	97.6%	97.3%	97.9%	91.9%	91.3%	92.6%
17	97.5%	97.2%	97.8%	91.8%	91.1%	92.5%
18	97.5%	97.2%	97.8%	91.6%	90.9%	92.3%
19	97.4%	97.1%	97.8%	91.4%	90.7%	92.2%
20	97.3%	97%	97.7%	91.3%	90.5%	92%
21	97.3%	96.9%	97.6%	91.1%	90.3%	91.8%
22	97.2%	96.8%	97.6%	90.8%	90%	91.7%
23	97.1%	96.7%	97.5%	90.6%	89.8%	91.5%
24	97%	96.6%	97.5%	90.4%	89.5%	91.3%
25	97%	96.5%	97.4%	90.2%	89.3%	91.1%
26	96.9%	96.4%	97.3%	89.9%	89%	90.9%
27	96.8%	96.3%	97.3%	89.7%	88.7%	90.6%
28	96.7%	96.2%	97.2%	89.4%	88.4%	90.4%
29	96.6%	96.2%	97.1%	89.1%	88.1%	90.1%
30	96.5%	96.1%	97%	88.8%	87.8%	89.9%
31	96.4%	96%	97%	88.5%	87.5%	89.6%
32	96.3%	95.9%	96.9%	88.2%	87.2%	89.3%
33	96.2%	95.8%	96.8%	87.9%	86.8%	89%
34	96.1%	95.6%	96.7%	87.6%	86.5%	88.7%
35	96%	95.5%	96.6%	87.2%	86.1%	88.4%
36	95.9%	95.4%	96.5%	86.8%	85.7%	88%
37	95.8%	95.3%	96.4%	86.5%	85.3%	87.7%
38	95.7%	95.1%	96.3%	86%	84.8%	87.3%
39	95.5%	95%	96.1%	85.6%	84.4%	86.9%
40	95.4%	94.8%	96%	85.1%	83.9%	86.4%
41	95.2%	94.7%	95.8%	84.7%	83.4%	86%
42	95%	94.5%	95.7%	84.2%	82.8%	85.5%
43	94.9%	94.3%	95.5%	83.6%	82.3%	85%
44	94.6%	94%	95.3%	83%	81.7%	84.4%
45	94.4%	93.8%	95.1%	82.5%	81%	83.9%
46	94.1%	93.5%	94.9%	81.8%	80.4%	83.3%
47	93.9%	93.2%	94.6%	81.2%	79.7%	82.7%
48	93.5%	92.8%	94.4%	80.4%	78.9%	82%
49	93.2%	92.4%	94.1%	79.7%	78.1%	81.3%
50	92.8%	92%	93.8%	78.9%	77.2%	80.6%
51	92.4%	91.5%	93.4%	78%	76.3%	79.8%
52	91.9%	91%	93%	77.1%	75.4%	79%
53	91.4%	90.4%	92.6%	76.2%	74.3%	78.1%
54	90.9%	89.8%	92.2%	75.2%	73.2%	77.2%
55	90.3%	89%	91.7%	74.1%	72.1%	76.2%
56	89.6%	88.3%	91.2%	73%	70.9%	75.2%
57	88.9%	87.4%	90.6%	71.8%	69.6%	74.1%
58	88.1%	86.4%	90%	70.6%	68.3%	72.9%
59	87.2%	85.4%	89.4%	69.3%	66.8%	71.7%
60	86.2%	84.2%	88.6%	67.9%	65.3%	70.4%
61	85.2%	83%	87.8%	66.4%	63.7%	69%
62	84.1%	81.7%	87%	64.8%	62.1%	67.5%
63	82.9%	80.2%	86%	63.1%	60.3%	66%
64	81.6%	78.7%	85%	61.4%	58.4%	64.3%
65	80.1%	77%	83.9%	59.5%	56.4%	62.5%
66	78.6%	75.2%	82.6%	57.5%	54.4%	60.6%
67	76.9%	73.2%	81.2%	55.5%	52.3%	58.7%
68	75.1%	71.1%	79.7%	53.3%	50.1%	56.5%
69	73.1%	68.9%	78%	51.1%	47.8%	54.3%
70	70.9%	66.4%	76.2%	48.7%	45.4%	51.9%
71	68.6%	63.9%	74.1%	46.2%	43%	49.3%
72	66.1%	61.2%	71.9%	43.6%	40.5%	46.7%
73	63.5%	58.3%	69.5%	41%	37.9%	43.9%
74	60.7%	55.3%	67%	38.2%	35.3%	41.1%
75	57.7%	52.1%	64.2%	35.4%	32.7%	38.1%
76	54.6%	48.9%	61.2%	32.6%	30%	35.1%
77	51.3%	45.5%	58.1%	29.7%	27.3%	32%
78	47.8%	42.1%	54.7%	26.9%	24.7%	29%
79	44.3%	38.5%	51.2%	24.1%	22.2%	26%
80	40.7%	35%	47.4%	21.4%	19.7%	23.1%
81	36.9%	31.4%	43.6%	18.8%	17.2%	20.2%
82	33.2%	27.9%	39.6%	16.3%	15%	17.6%
83	29.5%	24.5%	35.6%	13.9%	12.8%	15%
84	25.8%	21.1%	31.6%	11.8%	10.8%	12.7%
85	22.3%	18%	27.7%	9.77%	9.01%	10.5%
86	19%	15%	23.9%	7.99%	7.37%	8.59%
87	15.9%	12.3%	20.3%	6.42%	5.94%	6.9%
88	13.1%	9.91%	17%	5.08%	4.7%	5.44%
89	10.6%	7.8%	14%	3.94%	3.66%	4.21%
90	8.34%	6.01%	11.3%	3%	2.79%	3.19%
91	6.45%	4.51%	8.92%	2.23%	2.09%	2.37%
92	4.87%	3.31%	6.88%	1.63%	1.53%	1.72%
93	3.59%	2.36%	5.19%	1.16%	1.1%	1.22%
94	2.58%	1.64%	3.81%	0.81%	0.77%	0.84%
95	1.8%	1.11%	2.73%	0.55%	0.53%	0.57%
96	1.23%	0.73%	1.9%	0.36%	0.35%	0.37%
97	0.81%	0.46%	1.29%	0.23%	0.23%	0.24%
98	0.52%	0.28%	0.85%	0.15%	0.15%	0.15%
99	0.32%	0.17%	0.54%	0.09%	0.09%	0.09%
100	0.19%	0.1%	0.33%	0.05%	0.05%	0.05%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.74% in the birth year in Bhutan and 5.43% in Liberia, 0.09% vs 0.33% at age 30, 1.2% vs 2.2% at 60, and 9.13% vs 12.3% at 80.

Below is a graph displaying the probabilities of dying in Bhutan compared to Liberia at any given age.

Table

Age	Probability of dying
	Bhutan			Liberia
	Average	Male	Female	Average	Male	Female
0	1.74%	1.95%	1.53%	5.43%	5.95%	4.89%
1	0.1%	0.1%	0.11%	0.67%	0.7%	0.64%
2	0.08%	0.09%	0.08%	0.41%	0.44%	0.39%
3	0.07%	0.07%	0.06%	0.29%	0.31%	0.27%
4	0.06%	0.06%	0.05%	0.21%	0.22%	0.2%
5	0.05%	0.05%	0.04%	0.16%	0.17%	0.16%
6	0.04%	0.05%	0.03%	0.14%	0.15%	0.13%
7	0.03%	0.04%	0.03%	0.12%	0.13%	0.11%
8	0.03%	0.04%	0.03%	0.11%	0.12%	0.1%
9	0.03%	0.03%	0.02%	0.1%	0.11%	0.09%
10	0.03%	0.03%	0.02%	0.1%	0.1%	0.09%
11	0.03%	0.03%	0.02%	0.09%	0.1%	0.09%
12	0.03%	0.03%	0.02%	0.1%	0.1%	0.09%
13	0.03%	0.04%	0.03%	0.1%	0.11%	0.1%
14	0.04%	0.04%	0.03%	0.11%	0.12%	0.11%
15	0.04%	0.05%	0.03%	0.13%	0.14%	0.12%
16	0.05%	0.06%	0.04%	0.15%	0.16%	0.13%
17	0.06%	0.07%	0.04%	0.17%	0.19%	0.15%
18	0.06%	0.08%	0.05%	0.19%	0.22%	0.16%
19	0.07%	0.09%	0.05%	0.21%	0.24%	0.17%
20	0.08%	0.1%	0.05%	0.22%	0.26%	0.19%
21	0.08%	0.1%	0.06%	0.23%	0.27%	0.19%
22	0.08%	0.1%	0.06%	0.24%	0.28%	0.21%
23	0.08%	0.1%	0.06%	0.25%	0.29%	0.22%
24	0.08%	0.1%	0.07%	0.26%	0.3%	0.23%
25	0.08%	0.1%	0.07%	0.27%	0.31%	0.24%
26	0.09%	0.1%	0.07%	0.28%	0.32%	0.25%
27	0.09%	0.1%	0.07%	0.29%	0.32%	0.26%
28	0.09%	0.1%	0.08%	0.3%	0.33%	0.27%
29	0.09%	0.1%	0.08%	0.32%	0.35%	0.29%
30	0.09%	0.1%	0.08%	0.33%	0.36%	0.3%
31	0.1%	0.11%	0.09%	0.34%	0.37%	0.32%
32	0.1%	0.11%	0.09%	0.36%	0.39%	0.34%
33	0.11%	0.11%	0.1%	0.38%	0.41%	0.35%
34	0.11%	0.12%	0.1%	0.4%	0.43%	0.37%
35	0.12%	0.13%	0.11%	0.43%	0.46%	0.4%
36	0.13%	0.13%	0.12%	0.45%	0.48%	0.42%
37	0.14%	0.14%	0.13%	0.48%	0.51%	0.44%
38	0.15%	0.15%	0.13%	0.51%	0.54%	0.47%
39	0.16%	0.17%	0.14%	0.54%	0.57%	0.5%
40	0.17%	0.18%	0.15%	0.57%	0.61%	0.53%
41	0.18%	0.2%	0.17%	0.6%	0.64%	0.56%
42	0.2%	0.22%	0.18%	0.64%	0.69%	0.59%
43	0.22%	0.25%	0.2%	0.68%	0.73%	0.62%
44	0.25%	0.27%	0.22%	0.72%	0.78%	0.66%
45	0.28%	0.31%	0.24%	0.77%	0.83%	0.7%
46	0.31%	0.34%	0.26%	0.81%	0.88%	0.74%
47	0.34%	0.38%	0.29%	0.87%	0.95%	0.79%
48	0.37%	0.42%	0.31%	0.93%	1.02%	0.85%
49	0.41%	0.47%	0.34%	1%	1.1%	0.91%
50	0.45%	0.52%	0.37%	1.09%	1.19%	0.98%
51	0.5%	0.58%	0.4%	1.15%	1.26%	1.04%
52	0.55%	0.64%	0.43%	1.24%	1.37%	1.12%
53	0.6%	0.71%	0.47%	1.32%	1.46%	1.19%
54	0.67%	0.79%	0.52%	1.41%	1.57%	1.27%
55	0.74%	0.88%	0.56%	1.51%	1.67%	1.35%
56	0.82%	0.99%	0.62%	1.61%	1.79%	1.45%
57	0.9%	1.1%	0.68%	1.72%	1.92%	1.55%
58	0.99%	1.21%	0.74%	1.86%	2.08%	1.67%
59	1.09%	1.34%	0.81%	2.01%	2.24%	1.8%
60	1.2%	1.47%	0.89%	2.2%	2.46%	1.98%
61	1.31%	1.61%	0.98%	2.36%	2.62%	2.12%
62	1.44%	1.77%	1.08%	2.58%	2.87%	2.33%
63	1.58%	1.94%	1.2%	2.8%	3.11%	2.53%
64	1.75%	2.13%	1.34%	3.04%	3.37%	2.76%
65	1.94%	2.35%	1.5%	3.31%	3.65%	3.01%
66	2.15%	2.6%	1.68%	3.57%	3.9%	3.28%
67	2.39%	2.87%	1.88%	3.89%	4.21%	3.61%
68	2.65%	3.17%	2.12%	4.25%	4.56%	3.99%
69	2.94%	3.5%	2.37%	4.63%	4.92%	4.38%
70	3.26%	3.86%	2.66%	5.14%	5.4%	4.91%
71	3.61%	4.26%	2.97%	5.53%	5.77%	5.33%
72	4.01%	4.69%	3.32%	6.14%	6.36%	5.96%
73	4.44%	5.16%	3.71%	6.7%	6.89%	6.54%
74	4.91%	5.68%	4.14%	7.34%	7.5%	7.21%
75	5.44%	6.25%	4.62%	8.04%	8.16%	7.93%
76	6.02%	6.89%	5.17%	8.74%	8.84%	8.66%
77	6.67%	7.59%	5.79%	9.49%	9.56%	9.44%
78	7.41%	8.36%	6.49%	10.4%	10.4%	10.4%
79	8.22%	9.22%	7.29%	11.3%	11.2%	11.3%
80	9.13%	10.2%	8.17%	12.3%	12.3%	12.3%
81	10.1%	11.2%	9.13%	13.1%	13.1%	13.2%
82	11.2%	12.4%	10.2%	14.4%	14.4%	14.5%
83	12.4%	13.6%	11.2%	15.6%	15.6%	15.7%
84	13.6%	15%	12.4%	17%	16.9%	17%
85	14.9%	16.4%	13.6%	18.2%	18.1%	18.3%
86	16.3%	17.9%	14.9%	19.6%	19.5%	19.7%
87	17.8%	19.6%	16.3%	21%	20.8%	21.1%
88	19.3%	21.3%	17.8%	22.5%	22.3%	22.6%
89	21%	23%	19.4%	23.9%	23.6%	24.1%
90	22.7%	24.8%	21%	25.6%	25.3%	25.9%
91	24.5%	26.7%	22.8%	26.9%	26.5%	27.3%
92	26.3%	28.6%	24.6%	28.7%	28.2%	29.1%
93	28.2%	30.6%	26.5%	30.3%	29.8%	30.8%
94	30.1%	32.5%	28.4%	32.1%	31.5%	32.6%
95	32%	34.5%	30.3%	34%	33.3%	34.6%
96	33.9%	36.5%	32.2%	35.7%	34.9%	36.3%
97	35.9%	38.5%	34.2%	37.3%	36.5%	38%
98	37.8%	40.4%	36.2%	38.9%	37.9%	39.7%
99	39.7%	42.4%	38.2%	40.8%	39.7%	41.6%
100	41.7%	44.4%	40.1%	42.4%	41.2%	43.3%

Death rate by age in Bhutan compared to Liberia

In Bhutan, the most common age of death is 81, compared to 0 in Liberia. The median age of death is 77.4 in Bhutan and 69.5 in Liberia — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bhutan			Liberia
	Total	Male	Female	Total	Male	Female
0	1,744	1,951	1,526	5,426	5,952	4,894
1	101.4	97.9	105	632	654	608
2	82.2	83.3	81	389	407	371
3	67	71	62.8	270.7	284.2	256.6
4	55.1	60.6	49.4	197.7	206.9	188.1
5	46	52.1	39.6	153	160.3	145.4
6	39	45.1	32.6	128.6	135.6	121.3
7	33.8	39.6	27.8	112.1	118.9	105.1
8	30.3	35.5	24.6	99.8	106.1	93.4
9	28.1	32.8	22.8	92	97.7	86.2
10	27	31.5	22.1	87.9	93.1	82.5
11	27.2	31.6	22.4	86.8	92	81.4
12	28.7	33.4	23.5	89.2	94.4	83.8
13	31.6	36.9	25.6	95.4	100.7	89.8
14	35.9	42.5	28.5	105.7	112.2	99
15	41.7	50.1	32.2	119.9	128	111.6
16	48.5	59.4	36.5	137.4	149.6	124.8
17	55.9	69.5	41	155.2	172.7	137.1
18	63.1	79.2	45.4	174.4	197.6	150.3
19	69.1	87.3	49.4	189	216	160.9
20	73.8	93.2	52.9	202.1	232.1	171
21	76.9	96.4	55.8	212.5	245.2	178.5
22	78.8	97.6	58.6	222.5	255.9	188
23	80	97.3	61.2	231	263.8	197.1
24	80.8	96.3	63.9	238.8	270	206.6
25	81.6	95	66.6	246.3	275.5	216.1
26	82.6	94	69.5	254.3	281	226.7
27	84	93.7	72.4	263	287.8	237.4
28	85.8	94.3	75.3	272.5	295.9	248.4
29	88.1	95.8	78.4	282.9	305	260.2
30	91.1	98.2	81.8	295.9	318	273.7
31	94.5	101.4	85.4	305	327	283
32	98.6	105.4	89.6	322	343	300
33	103.3	110.1	94.5	337	358	315
34	108.7	115.4	100	354	375	332
35	114.9	121.6	106.2	373	395	351
36	121.9	128.8	113.1	392	414	370
37	129.9	137.2	120.6	412	435	388
38	139.1	147.1	128.8	436	460	412
39	149.6	158.8	137.7	458	484	433
40	161.8	172.8	147.8	487	514	459
41	176.1	189.3	159.3	507	536	478
42	192.8	208.9	172.5	540	571	508
43	212.3	231.7	187.9	566	600	531
44	234.8	258	205.5	596	634	557
45	259.9	287.6	225.3	633	675	590
46	287.6	320	247	665	711	619
47	318	356	270.1	705	755	654
48	350	394	294.4	751	806	697
49	384	434	320	798	858	739
50	420	478	346	856	921	792
51	459	526	374	895	965	826
52	503	581	405	958	1,033	885
53	551	642	438	1,006	1,088	928
54	606	711	476	1,062	1,148	979
55	666	787	517	1,116	1,207	1,030
56	731	871	563	1,177	1,272	1,088
57	801	959	613	1,238	1,338	1,146
58	875	1,049	666	1,316	1,419	1,221
59	952	1,142	724	1,392	1,499	1,293
60	1,033	1,237	788	1,496	1,605	1,395
61	1,119	1,337	860	1,564	1,673	1,462
62	1,211	1,442	941	1,675	1,784	1,575
63	1,313	1,556	1,033	1,768	1,874	1,670
64	1,427	1,679	1,138	1,866	1,966	1,773
65	1,553	1,812	1,255	1,969	2,060	1,884
66	1,690	1,954	1,387	2,053	2,120	1,991
67	1,835	2,103	1,531	2,157	2,200	2,119
68	1,987	2,256	1,687	2,267	2,282	2,256
69	2,147	2,411	1,852	2,363	2,350	2,379
70	2,312	2,566	2,025	2,501	2,452	2,550
71	2,480	2,719	2,205	2,555	2,479	2,631
72	2,650	2,868	2,390	2,680	2,575	2,784
73	2,818	3,009	2,579	2,746	2,614	2,875
74	2,980	3,141	2,771	2,805	2,648	2,959
75	3,136	3,261	2,966	2,846	2,666	3,022
76	3,284	3,366	3,163	2,847	2,652	3,037
77	3,422	3,453	3,361	2,821	2,613	3,024
78	3,544	3,518	3,552	2,798	2,582	3,009
79	3,642	3,554	3,727	2,713	2,492	2,928
80	3,711	3,559	3,873	2,631	2,411	2,846
81	3,739	3,526	3,975	2,461	2,253	2,665
82	3,718	3,450	4,019	2,351	2,157	2,541
83	3,644	3,329	3,998	2,178	1,997	2,355
84	3,513	3,161	3,909	1,998	1,835	2,157
85	3,328	2,948	3,759	1,781	1,631	1,928
86	3,098	2,696	3,556	1,566	1,437	1,693
87	2,828	2,412	3,308	1,347	1,236	1,456
88	2,529	2,108	3,024	1,140	1,046	1,231
89	2,213	1,797	2,711	940	863	1,014
90	1,893	1,492	2,378	768	706	829
91	1,578	1,206	2,036	599	552	645
92	1,281	947	1,697	468	433	501
93	1,010	721	1,375	353	328	376
94	774	533	1,082	259.7	243.4	275.5
95	576	382	827	186.6	176.4	196.4
96	416	264.5	613	129.4	123.2	135.1
97	290.6	177.2	441	87.1	83.7	90.1
98	196.3	114.6	307	56.9	55.3	58.3
99	128.1	71.5	206.6	36.5	35.9	36.8
100	0	0	14.8	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Bhutan and Liberia demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Bhutan vs Liberia: Data-driven Comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size