Life Expectancy in Bhutan vs Equatorial Guinea (1950-2026)

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 Equatorial Guinea: 76 years vs 71 at 30, 80.2 vs 78.3 at 65, 86.4 vs 85.8 at 80 — significantly higher than the 73.8 vs 64.3 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 Equatorial Guinea.

Table

Current age, years	Total life expectancy, years
	Bhutan			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
0	73.8	72.1	75.8	64.3	62.6	66.3
1	75	73.4	76.9	67.7	66.2	69.4
2	75.1	73.5	77	68.2	66.7	69.9
3	75.2	73.6	77.1	68.5	67	70.2
4	75.2	73.6	77.1	68.7	67.3	70.4
5	75.3	73.7	77.2	68.8	67.4	70.5
6	75.3	73.7	77.2	68.9	67.5	70.6
7	75.3	73.7	77.2	69	67.6	70.7
8	75.3	73.7	77.2	69.1	67.7	70.8
9	75.4	73.8	77.2	69.2	67.8	70.9
10	75.4	73.8	77.3	69.2	67.9	70.9
11	75.4	73.8	77.3	69.3	67.9	71
12	75.4	73.8	77.3	69.3	68	71
13	75.4	73.9	77.3	69.4	68	71.1
14	75.4	73.9	77.3	69.5	68.1	71.1
15	75.5	73.9	77.3	69.5	68.2	71.2
16	75.5	73.9	77.4	69.6	68.2	71.2
17	75.5	74	77.4	69.6	68.3	71.3
18	75.6	74	77.4	69.7	68.4	71.4
19	75.6	74	77.4	69.8	68.5	71.4
20	75.6	74.1	77.5	69.9	68.6	71.5
21	75.7	74.1	77.5	70	68.7	71.6
22	75.7	74.2	77.5	70.1	68.8	71.7
23	75.8	74.2	77.6	70.2	68.9	71.8
24	75.8	74.3	77.6	70.3	69.1	71.8
25	75.8	74.3	77.6	70.4	69.2	71.9
26	75.9	74.4	77.7	70.5	69.3	72
27	75.9	74.4	77.7	70.6	69.4	72.1
28	76	74.5	77.7	70.7	69.6	72.2
29	76	74.5	77.8	70.8	69.7	72.3
30	76	74.6	77.8	71	69.8	72.4
31	76.1	74.6	77.8	71.1	69.9	72.5
32	76.1	74.7	77.9	71.2	70.1	72.6
33	76.2	74.7	77.9	71.3	70.2	72.7
34	76.2	74.8	78	71.4	70.3	72.8
35	76.3	74.8	78	71.6	70.4	72.9
36	76.3	74.9	78.1	71.7	70.6	73
37	76.4	74.9	78.1	71.8	70.7	73.2
38	76.4	75	78.2	72	70.9	73.3
39	76.5	75	78.2	72.1	71	73.4
40	76.5	75.1	78.3	72.2	71.2	73.5
41	76.6	75.1	78.3	72.4	71.4	73.7
42	76.7	75.2	78.4	72.5	71.5	73.8
43	76.7	75.3	78.4	72.7	71.7	73.9
44	76.8	75.3	78.5	72.9	71.9	74.1
45	76.9	75.4	78.6	73.1	72.1	74.2
46	77	75.5	78.7	73.2	72.3	74.4
47	77	75.6	78.7	73.4	72.5	74.6
48	77.1	75.7	78.8	73.6	72.7	74.7
49	77.3	75.8	78.9	73.8	72.9	74.9
50	77.4	76	79	74	73.1	75.1
51	77.5	76.1	79.1	74.2	73.3	75.3
52	77.6	76.2	79.2	74.5	73.6	75.4
53	77.7	76.4	79.3	74.7	73.8	75.6
54	77.9	76.5	79.5	74.9	74.1	75.9
55	78	76.7	79.6	75.2	74.4	76.1
56	78.2	76.9	79.7	75.4	74.7	76.3
57	78.4	77.1	79.9	75.7	74.9	76.5
58	78.6	77.3	80	76	75.2	76.8
59	78.8	77.5	80.2	76.3	75.6	77
60	79	77.8	80.3	76.6	75.9	77.3
61	79.2	78	80.5	76.9	76.2	77.6
62	79.4	78.3	80.7	77.2	76.6	77.8
63	79.7	78.6	80.9	77.5	76.9	78.1
64	79.9	78.9	81.1	77.9	77.3	78.5
65	80.2	79.2	81.3	78.3	77.7	78.8
66	80.5	79.5	81.5	78.7	78.1	79.2
67	80.8	79.8	81.8	79	78.6	79.5
68	81.1	80.2	82.1	79.5	79	79.9
69	81.4	80.6	82.4	79.9	79.4	80.3
70	81.8	81	82.7	80.3	79.9	80.7
71	82.2	81.4	83	80.8	80.4	81.2
72	82.5	81.8	83.3	81.3	80.9	81.6
73	83	82.3	83.7	81.8	81.4	82.1
74	83.4	82.7	84.1	82.3	82	82.6
75	83.8	83.2	84.5	82.9	82.6	83.1
76	84.3	83.7	84.9	83.4	83.1	83.7
77	84.8	84.2	85.3	84	83.7	84.2
78	85.3	84.8	85.8	84.6	84.4	84.8
79	85.8	85.4	86.3	85.2	85	85.4
80	86.4	85.9	86.8	85.8	85.6	86
81	87	86.6	87.4	86.5	86.3	86.6
82	87.6	87.2	88	87.2	87	87.3
83	88.2	87.8	88.6	87.9	87.7	88
84	88.9	88.5	89.2	88.6	88.4	88.7
85	89.6	89.2	89.9	89.3	89.2	89.4
86	90.3	89.9	90.5	90	89.9	90.1
87	91	90.7	91.2	90.8	90.7	90.9
88	91.7	91.4	92	91.6	91.5	91.6
89	92.5	92.2	92.7	92.4	92.3	92.4
90	93.2	93	93.4	93.2	93.1	93.2
91	94	93.8	94.2	94	94	94
92	94.8	94.6	95	94.8	94.8	94.9
93	95.7	95.5	95.8	95.7	95.6	95.7
94	96.5	96.3	96.6	96.5	96.5	96.5
95	97.4	97.2	97.5	97.4	97.4	97.4
96	98.2	98.1	98.3	98.3	98.3	98.3
97	99.1	99	99.2	99.2	99.2	99.2
98	100	99.9	100.1	100.1	100.1	100.1
99	100.9	100.8	101	101	100.9	101
100	101.8	101.7	101.9	101.9	101.8	101.9

Odds of living to age in Bhutan vs Equatorial Guinea

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.6% in Bhutan and 71.2% in Equatorial Guinea are expected to survive till at least 60 years old, 71.5% and 53.1% will live to 70 years or older, 41.4% and 25.7% to 80+ years, and 8.69% and 4.44% 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			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
1	98.3%	98.1%	98.6%	95%	94.5%	95.5%
2	98.2%	98%	98.5%	94.3%	93.8%	94.9%
3	98.2%	98%	98.4%	93.9%	93.3%	94.5%
4	98.1%	97.9%	98.3%	93.6%	93%	94.2%
5	98.1%	97.8%	98.3%	93.4%	92.7%	94%
6	98%	97.8%	98.2%	93.2%	92.6%	93.8%
7	98%	97.7%	98.2%	93%	92.4%	93.7%
8	97.9%	97.7%	98.2%	92.9%	92.3%	93.6%
9	97.9%	97.7%	98.2%	92.8%	92.2%	93.5%
10	97.9%	97.6%	98.1%	92.7%	92.1%	93.4%
11	97.9%	97.6%	98.1%	92.6%	92%	93.3%
12	97.8%	97.6%	98.1%	92.6%	91.9%	93.2%
13	97.8%	97.5%	98.1%	92.5%	91.8%	93.2%
14	97.8%	97.5%	98%	92.4%	91.7%	93.1%
15	97.7%	97.5%	98%	92.3%	91.6%	93%
16	97.7%	97.4%	98%	92.2%	91.5%	92.9%
17	97.6%	97.4%	97.9%	92%	91.3%	92.8%
18	97.6%	97.3%	97.9%	91.9%	91.2%	92.7%
19	97.5%	97.2%	97.9%	91.8%	91%	92.5%
20	97.5%	97.1%	97.8%	91.6%	90.8%	92.4%
21	97.4%	97%	97.8%	91.4%	90.6%	92.3%
22	97.3%	96.9%	97.7%	91.2%	90.3%	92.1%
23	97.2%	96.8%	97.7%	91%	90.1%	92%
24	97.2%	96.8%	97.6%	90.8%	89.9%	91.8%
25	97.1%	96.7%	97.5%	90.6%	89.6%	91.6%
26	97%	96.6%	97.5%	90.4%	89.4%	91.4%
27	96.9%	96.5%	97.4%	90.2%	89.1%	91.3%
28	96.8%	96.4%	97.3%	89.9%	88.9%	91.1%
29	96.8%	96.3%	97.3%	89.7%	88.6%	90.9%
30	96.7%	96.2%	97.2%	89.5%	88.3%	90.7%
31	96.6%	96.1%	97.1%	89.2%	88.1%	90.4%
32	96.5%	96%	97%	89%	87.8%	90.2%
33	96.4%	95.9%	96.9%	88.7%	87.5%	90%
34	96.3%	95.8%	96.8%	88.4%	87.2%	89.7%
35	96.2%	95.7%	96.7%	88.1%	86.8%	89.5%
36	96.1%	95.5%	96.6%	87.8%	86.5%	89.2%
37	95.9%	95.4%	96.5%	87.5%	86.1%	88.9%
38	95.8%	95.3%	96.4%	87.1%	85.7%	88.6%
39	95.7%	95.1%	96.3%	86.7%	85.3%	88.3%
40	95.5%	95%	96.1%	86.4%	84.9%	88%
41	95.4%	94.8%	96%	85.9%	84.4%	87.6%
42	95.2%	94.6%	95.8%	85.5%	84%	87.2%
43	95%	94.4%	95.7%	85.1%	83.5%	86.8%
44	94.8%	94.2%	95.5%	84.6%	82.9%	86.4%
45	94.6%	93.9%	95.3%	84.1%	82.4%	86%
46	94.3%	93.7%	95.1%	83.5%	81.8%	85.5%
47	94%	93.3%	94.8%	82.9%	81.2%	85.1%
48	93.7%	93%	94.6%	82.3%	80.5%	84.5%
49	93.4%	92.6%	94.3%	81.7%	79.8%	84%
50	93%	92.2%	94%	81%	79%	83.4%
51	92.6%	91.7%	93.6%	80.3%	78.2%	82.8%
52	92.1%	91.2%	93.2%	79.5%	77.3%	82.1%
53	91.6%	90.6%	92.9%	78.6%	76.4%	81.4%
54	91.1%	90%	92.4%	77.7%	75.4%	80.7%
55	90.5%	89.3%	92%	76.8%	74.4%	79.8%
56	89.9%	88.5%	91.5%	75.8%	73.3%	79%
57	89.1%	87.7%	90.9%	74.8%	72.2%	78.1%
58	88.3%	86.7%	90.3%	73.6%	70.9%	77.1%
59	87.5%	85.7%	89.6%	72.5%	69.6%	76.1%
60	86.6%	84.6%	88.9%	71.2%	68.3%	74.9%
61	85.5%	83.3%	88.2%	69.8%	66.8%	73.7%
62	84.4%	82%	87.3%	68.4%	65.2%	72.4%
63	83.2%	80.6%	86.4%	66.8%	63.6%	71%
64	81.9%	79.1%	85.4%	65.2%	61.8%	69.5%
65	80.5%	77.4%	84.3%	63.4%	60%	67.9%
66	79%	75.6%	83%	61.6%	58%	66.1%
67	77.4%	73.7%	81.7%	59.6%	56%	64.3%
68	75.5%	71.6%	80.2%	57.6%	53.8%	62.3%
69	73.6%	69.4%	78.5%	55.4%	51.6%	60.2%
70	71.5%	67%	76.7%	53.1%	49.3%	58%
71	69.2%	64.5%	74.7%	50.7%	46.8%	55.6%
72	66.7%	61.8%	72.5%	48.2%	44.3%	53.1%
73	64.1%	58.9%	70.2%	45.6%	41.7%	50.4%
74	61.3%	55.9%	67.6%	42.9%	39%	47.6%
75	58.4%	52.8%	64.9%	40.1%	36.3%	44.7%
76	55.3%	49.6%	62%	37.3%	33.5%	41.8%
77	52%	46.2%	58.8%	34.4%	30.7%	38.7%
78	48.6%	42.7%	55.5%	31.5%	28%	35.7%
79	45%	39.2%	52%	28.6%	25.2%	32.6%
80	41.4%	35.7%	48.3%	25.7%	22.6%	29.5%
81	37.7%	32.1%	44.4%	22.9%	19.9%	26.4%
82	33.9%	28.5%	40.4%	20.2%	17.5%	23.5%
83	30.2%	25.1%	36.4%	17.6%	15.1%	20.6%
84	26.5%	21.7%	32.3%	15.2%	12.9%	17.8%
85	23%	18.5%	28.4%	12.8%	10.8%	15.2%
86	19.6%	15.5%	24.6%	10.7%	8.96%	12.7%
87	16.4%	12.7%	21%	8.83%	7.31%	10.5%
88	13.6%	10.3%	17.6%	7.14%	5.86%	8.58%
89	11%	8.1%	14.5%	5.68%	4.62%	6.87%
90	8.69%	6.25%	11.8%	4.44%	3.58%	5.4%
91	6.74%	4.71%	9.31%	3.4%	2.72%	4.15%
92	5.11%	3.46%	7.21%	2.56%	2.03%	3.14%
93	3.78%	2.48%	5.45%	1.88%	1.48%	2.32%
94	2.72%	1.73%	4.02%	1.35%	1.06%	1.67%
95	1.91%	1.17%	2.89%	0.95%	0.74%	1.18%
96	1.31%	0.77%	2.02%	0.65%	0.5%	0.81%
97	0.87%	0.49%	1.37%	0.43%	0.33%	0.54%
98	0.56%	0.3%	0.91%	0.28%	0.22%	0.35%
99	0.35%	0.18%	0.58%	0.18%	0.14%	0.22%
100	0.21%	0.1%	0.36%	0.11%	0.08%	0.14%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.66% in the birth year in Bhutan and 4.97% in Equatorial Guinea, 0.09% vs 0.28% at age 30, 1.17% vs 1.92% at 60, and 8.98% vs 11% at 80.

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

Table

Age	Probability of dying
	Bhutan			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
0	1.66%	1.86%	1.44%	4.97%	5.49%	4.45%
1	0.1%	0.1%	0.1%	0.76%	0.8%	0.72%
2	0.08%	0.08%	0.08%	0.46%	0.49%	0.44%
3	0.07%	0.07%	0.06%	0.32%	0.34%	0.3%
4	0.05%	0.06%	0.05%	0.23%	0.25%	0.22%
5	0.05%	0.05%	0.04%	0.18%	0.19%	0.16%
6	0.04%	0.04%	0.03%	0.15%	0.16%	0.13%
7	0.03%	0.04%	0.03%	0.13%	0.14%	0.11%
8	0.03%	0.04%	0.02%	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%	0.08%
12	0.03%	0.03%	0.02%	0.09%	0.1%	0.09%
13	0.03%	0.04%	0.03%	0.1%	0.11%	0.09%
14	0.04%	0.04%	0.03%	0.11%	0.12%	0.1%
15	0.04%	0.05%	0.03%	0.12%	0.13%	0.11%
16	0.05%	0.06%	0.04%	0.14%	0.15%	0.12%
17	0.06%	0.07%	0.04%	0.15%	0.18%	0.13%
18	0.06%	0.08%	0.05%	0.17%	0.2%	0.14%
19	0.07%	0.09%	0.05%	0.18%	0.22%	0.15%
20	0.07%	0.09%	0.05%	0.19%	0.23%	0.15%
21	0.08%	0.1%	0.06%	0.21%	0.25%	0.16%
22	0.08%	0.1%	0.06%	0.22%	0.26%	0.17%
23	0.08%	0.1%	0.06%	0.22%	0.27%	0.18%
24	0.08%	0.1%	0.06%	0.23%	0.27%	0.18%
25	0.08%	0.1%	0.07%	0.24%	0.28%	0.19%
26	0.08%	0.1%	0.07%	0.24%	0.28%	0.2%
27	0.08%	0.1%	0.07%	0.25%	0.29%	0.21%
28	0.09%	0.1%	0.08%	0.26%	0.3%	0.22%
29	0.09%	0.1%	0.08%	0.27%	0.31%	0.23%
30	0.09%	0.1%	0.08%	0.28%	0.32%	0.24%
31	0.1%	0.1%	0.09%	0.29%	0.33%	0.25%
32	0.1%	0.11%	0.09%	0.31%	0.35%	0.26%
33	0.11%	0.11%	0.1%	0.32%	0.36%	0.27%
34	0.11%	0.12%	0.1%	0.34%	0.38%	0.29%
35	0.12%	0.13%	0.11%	0.36%	0.4%	0.31%
36	0.12%	0.13%	0.11%	0.38%	0.42%	0.32%
37	0.13%	0.14%	0.12%	0.4%	0.44%	0.34%
38	0.14%	0.15%	0.13%	0.42%	0.47%	0.36%
39	0.15%	0.16%	0.14%	0.45%	0.5%	0.38%
40	0.17%	0.18%	0.15%	0.48%	0.53%	0.41%
41	0.18%	0.2%	0.16%	0.5%	0.56%	0.42%
42	0.2%	0.22%	0.18%	0.54%	0.6%	0.45%
43	0.22%	0.24%	0.19%	0.57%	0.63%	0.48%
44	0.24%	0.27%	0.21%	0.6%	0.67%	0.5%
45	0.27%	0.3%	0.23%	0.64%	0.72%	0.53%
46	0.3%	0.34%	0.25%	0.68%	0.77%	0.56%
47	0.33%	0.38%	0.28%	0.73%	0.82%	0.6%
48	0.37%	0.42%	0.3%	0.79%	0.89%	0.65%
49	0.4%	0.46%	0.33%	0.84%	0.95%	0.69%
50	0.44%	0.51%	0.36%	0.92%	1.04%	0.75%
51	0.49%	0.56%	0.39%	0.97%	1.1%	0.8%
52	0.54%	0.63%	0.42%	1.06%	1.2%	0.87%
53	0.59%	0.7%	0.46%	1.13%	1.28%	0.93%
54	0.65%	0.78%	0.5%	1.21%	1.37%	1%
55	0.72%	0.87%	0.55%	1.3%	1.47%	1.07%
56	0.8%	0.97%	0.6%	1.39%	1.57%	1.16%
57	0.88%	1.08%	0.66%	1.49%	1.69%	1.24%
58	0.97%	1.19%	0.72%	1.62%	1.83%	1.36%
59	1.07%	1.31%	0.79%	1.74%	1.97%	1.47%
60	1.17%	1.44%	0.87%	1.92%	2.17%	1.64%
61	1.29%	1.58%	0.96%	2.06%	2.32%	1.76%
62	1.41%	1.73%	1.06%	2.27%	2.55%	1.95%
63	1.55%	1.9%	1.17%	2.46%	2.77%	2.13%
64	1.71%	2.09%	1.31%	2.68%	3%	2.34%
65	1.9%	2.31%	1.46%	2.93%	3.26%	2.57%
66	2.11%	2.55%	1.64%	3.15%	3.51%	2.79%
67	2.34%	2.82%	1.84%	3.44%	3.81%	3.06%
68	2.6%	3.11%	2.07%	3.77%	4.15%	3.38%
69	2.88%	3.44%	2.32%	4.1%	4.51%	3.7%
70	3.19%	3.79%	2.6%	4.55%	4.97%	4.16%
71	3.54%	4.18%	2.91%	4.89%	5.34%	4.49%
72	3.92%	4.61%	3.25%	5.43%	5.91%	5.02%
73	4.35%	5.07%	3.63%	5.93%	6.43%	5.49%
74	4.82%	5.59%	4.05%	6.49%	7.01%	6.04%
75	5.33%	6.15%	4.52%	7.11%	7.64%	6.65%
76	5.91%	6.78%	5.06%	7.74%	8.3%	7.26%
77	6.56%	7.47%	5.67%	8.41%	8.99%	7.9%
78	7.28%	8.24%	6.37%	9.23%	9.82%	8.71%
79	8.09%	9.09%	7.15%	9.99%	10.6%	9.46%
80	8.98%	10%	8.02%	11%	11.6%	10.4%
81	9.96%	11.1%	8.96%	11.7%	12.4%	11.2%
82	11%	12.2%	9.98%	12.9%	13.6%	12.4%
83	12.2%	13.4%	11.1%	14%	14.7%	13.5%
84	13.4%	14.8%	12.2%	15.2%	16%	14.7%
85	14.7%	16.2%	13.4%	16.4%	17.1%	16%
86	16.1%	17.8%	14.7%	17.8%	18.5%	17.3%
87	17.6%	19.4%	16%	19.1%	19.7%	18.6%
88	19.1%	21.1%	17.5%	20.5%	21.1%	20%
89	20.7%	22.8%	19.1%	21.8%	22.5%	21.4%
90	22.5%	24.6%	20.8%	23.5%	24.1%	23.1%
91	24.2%	26.5%	22.6%	24.7%	25.3%	24.4%
92	26.1%	28.4%	24.4%	26.5%	27.1%	26.2%
93	27.9%	30.3%	26.3%	28.2%	28.6%	27.9%
94	29.8%	32.3%	28.1%	29.9%	30.3%	29.6%
95	31.7%	34.3%	30%	31.7%	32%	31.5%
96	33.7%	36.3%	32%	33.4%	33.6%	33.3%
97	35.6%	38.3%	34%	35%	35.2%	34.9%
98	37.6%	40.3%	36%	36.6%	36.6%	36.6%
99	39.6%	42.2%	38%	38.5%	38.4%	38.5%
100	41.5%	44.3%	40%	40%	39.9%	40.2%

Death rate by age in Bhutan compared to Equatorial Guinea

In Bhutan, the most common age of death is 81, compared to 0 in Equatorial Guinea. The median age of death is 77.6 in Bhutan and 71.3 in Equatorial Guinea — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bhutan			Equatorial Guinea
	Total	Male	Female	Total	Male	Female
0	1,655	1,861	1,440	4,972	5,488	4,450
1	96.8	94	99.8	721	757	684
2	78.6	80.1	77.1	438	462	414
3	64.3	68.3	60	302	320	283.2
4	53	58.5	47.2	216.1	228.6	203.1
5	44.3	50.3	37.9	165.2	175.6	154.5
6	37.6	43.7	31.2	136.7	146.4	126.6
7	32.7	38.4	26.7	116.8	126.1	107.2
8	29.2	34.5	23.7	102.6	111.3	93.6
9	27.2	31.9	22	93.4	101.8	84.8
10	26.2	30.6	21.3	88.2	95.9	80.2
11	26.4	30.8	21.6	86	93.2	78.5
12	27.9	32.5	22.8	87.4	94.8	79.8
13	30.7	36	24.8	92	100.1	83.7
14	34.9	41.5	27.7	100.1	109.7	90.2
15	40.6	49	31.3	111	122.7	99
16	47.4	58.1	35.5	125.5	141.2	109.3
17	54.7	68	39.9	139.7	160.6	118.1
18	61.8	77.7	44.2	154.8	181.3	127.5
19	67.8	85.7	48.2	167.2	197.9	135.3
20	72.4	91.5	51.6	178.3	212.5	142.7
21	75.5	94.7	54.6	187.9	224.3	149
22	77.4	95.9	57.3	196.5	233.5	155.8
23	78.5	95.7	59.9	203.3	239.9	162.3
24	79.3	94.7	62.5	209.3	244.6	169.2
25	80.1	93.6	65.3	214.4	248.1	175.8
26	81	92.6	68.1	220.1	252.2	182.9
27	82.4	92.3	70.9	226.2	257	190.2
28	84.2	92.9	73.9	233.5	263.4	198.5
29	86.6	94.4	76.9	241	270.6	205.9
30	89.5	96.8	80.2	251.6	281.1	216.4
31	93	100	83.9	258.6	288.5	222.6
32	97	103.9	88	272.6	303	235.5
33	101.7	108.5	92.7	284.9	316	246.7
34	107	113.8	98.1	298.6	330	259
35	113.1	119.9	104.2	315	347	273
36	119.9	126.9	110.9	331	364	287.2
37	127.7	135.2	118.3	348	382	301
38	136.8	144.9	126.3	369	404	320
39	147.1	156.5	135.1	388	424	336
40	159.2	170.2	145	414	452	358
41	173.2	186.5	156.2	430	470	371
42	189.6	205.7	169.1	461	503	397
43	208.8	228.2	184.2	482	527	413
44	230.7	254	201.4	509	558	434
45	255.5	283.2	220.8	542	595	460
46	282.8	315	242	570	627	482
47	312	350	264.6	605	667	510
48	343	388	288.2	648	714	546
49	377	428	313	690	761	580
50	412	471	339	745	821	629
51	451	518	366	782	861	660
52	494	571	396	843	926	717
53	542	631	429	890	978	758
54	595	699	466	944	1,036	809
55	655	775	506	995	1,091	858
56	719	857	551	1,054	1,154	915
57	787	943	600	1,112	1,216	971
58	859	1,033	652	1,189	1,297	1,047
59	935	1,124	709	1,264	1,375	1,120
60	1,015	1,218	772	1,370	1,481	1,230
61	1,101	1,317	842	1,435	1,549	1,296
62	1,193	1,421	922	1,551	1,664	1,415
63	1,293	1,534	1,012	1,647	1,758	1,515
64	1,404	1,656	1,115	1,748	1,855	1,624
65	1,528	1,788	1,231	1,856	1,957	1,743
66	1,664	1,929	1,361	1,942	2,034	1,844
67	1,809	2,077	1,503	2,052	2,134	1,968
68	1,961	2,230	1,657	2,168	2,237	2,107
69	2,119	2,386	1,820	2,271	2,326	2,229
70	2,281	2,541	1,992	2,420	2,451	2,412
71	2,449	2,696	2,171	2,482	2,500	2,494
72	2,618	2,846	2,356	2,622	2,618	2,661
73	2,787	2,990	2,545	2,705	2,680	2,769
74	2,953	3,125	2,738	2,787	2,735	2,879
75	3,113	3,248	2,935	2,854	2,773	2,974
76	3,267	3,358	3,135	2,887	2,781	3,032
77	3,409	3,451	3,336	2,893	2,762	3,062
78	3,536	3,521	3,533	2,908	2,748	3,108
79	3,643	3,564	3,714	2,857	2,677	3,081
80	3,718	3,576	3,867	2,820	2,614	3,078
81	3,754	3,550	3,979	2,685	2,471	2,956
82	3,741	3,482	4,033	2,609	2,375	2,904
83	3,674	3,367	4,022	2,466	2,220	2,772
84	3,551	3,206	3,943	2,311	2,057	2,621
85	3,375	2,998	3,803	2,111	1,853	2,419
86	3,150	2,749	3,608	1,906	1,654	2,202
87	2,886	2,466	3,368	1,682	1,443	1,958
88	2,591	2,162	3,089	1,461	1,239	1,716
89	2,275	1,849	2,779	1,240	1,040	1,468
90	1,952	1,541	2,447	1,044	863	1,249
91	1,633	1,249	2,102	841	690	1,012
92	1,331	984	1,759	678	550	822
93	1,054	753	1,431	529	425	646
94	811	558	1,131	404	320	496
95	606	401	868	300	236.2	371
96	439	278.9	647	216	168.5	268.1
97	309	187.5	467	150.8	116.9	188
98	209.6	121.7	326	102.3	78.9	128
99	137.5	76.2	220.6	68.2	52.5	85.6
100	0	0	21.2	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 Equatorial Guinea 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 Equatorial Guinea: Comparing Facts

By topic vs comparisons:

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