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

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Equatorial Guinea

Male

Female

1x

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

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 Equatorial Guinea, rising to 80.2 and 78.3 at 65, and to 86.4 and 85.8 at 80 — higher than the 73.8 and 64.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Equatorial Guinea

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 71.2% in Equatorial Guinea are expected to live past 60, 71.5% and 53.1% past 70, 41.4% and 25.7% past 80, and only 8.69% and 4.44% 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

Equatorial Guinea

Male

Female

1x

Age	Probability of dying
	Bhutan			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	40%	39.9%	40.2%
99	39.6%	42.2%	38%	38.5%	38.4%	38.5%
98	37.6%	40.3%	36%	36.6%	36.6%	36.6%
97	35.6%	38.3%	34%	35%	35.2%	34.9%
96	33.7%	36.3%	32%	33.4%	33.6%	33.3%
95	31.7%	34.3%	30%	31.7%	32%	31.5%
94	29.8%	32.3%	28.1%	29.9%	30.3%	29.6%
93	27.9%	30.3%	26.3%	28.2%	28.6%	27.9%
92	26.1%	28.4%	24.4%	26.5%	27.1%	26.2%
91	24.2%	26.5%	22.6%	24.7%	25.3%	24.4%
90	22.5%	24.6%	20.8%	23.5%	24.1%	23.1%
89	20.7%	22.8%	19.1%	21.8%	22.5%	21.4%
88	19.1%	21.1%	17.5%	20.5%	21.1%	20%
87	17.6%	19.4%	16%	19.1%	19.7%	18.6%
86	16.1%	17.8%	14.7%	17.8%	18.5%	17.3%
85	14.7%	16.2%	13.4%	16.4%	17.1%	16%
84	13.4%	14.8%	12.2%	15.2%	16%	14.7%
83	12.2%	13.4%	11.1%	14%	14.7%	13.5%
82	11%	12.2%	9.98%	12.9%	13.6%	12.4%
81	9.96%	11.1%	8.96%	11.7%	12.4%	11.2%
80	8.98%	10%	8.02%	11%	11.6%	10.4%
79	8.09%	9.09%	7.15%	9.99%	10.6%	9.46%
78	7.28%	8.24%	6.37%	9.23%	9.82%	8.71%
77	6.56%	7.47%	5.67%	8.41%	8.99%	7.9%
76	5.91%	6.78%	5.06%	7.74%	8.3%	7.26%
75	5.33%	6.15%	4.52%	7.11%	7.64%	6.65%
74	4.82%	5.59%	4.05%	6.49%	7.01%	6.04%
73	4.35%	5.07%	3.63%	5.93%	6.43%	5.49%
72	3.92%	4.61%	3.25%	5.43%	5.91%	5.02%
71	3.54%	4.18%	2.91%	4.89%	5.34%	4.49%
70	3.19%	3.79%	2.6%	4.55%	4.97%	4.16%
69	2.88%	3.44%	2.32%	4.1%	4.51%	3.7%
68	2.6%	3.11%	2.07%	3.77%	4.15%	3.38%
67	2.34%	2.82%	1.84%	3.44%	3.81%	3.06%
66	2.11%	2.55%	1.64%	3.15%	3.51%	2.79%
65	1.9%	2.31%	1.46%	2.93%	3.26%	2.57%
64	1.71%	2.09%	1.31%	2.68%	3%	2.34%
63	1.55%	1.9%	1.17%	2.46%	2.77%	2.13%
62	1.41%	1.73%	1.06%	2.27%	2.55%	1.95%
61	1.29%	1.58%	0.96%	2.06%	2.32%	1.76%
60	1.17%	1.44%	0.87%	1.92%	2.17%	1.64%
59	1.07%	1.31%	0.79%	1.74%	1.97%	1.47%
58	0.97%	1.19%	0.72%	1.62%	1.83%	1.36%
57	0.88%	1.08%	0.66%	1.49%	1.69%	1.24%
56	0.8%	0.97%	0.6%	1.39%	1.57%	1.16%
55	0.72%	0.87%	0.55%	1.3%	1.47%	1.07%
54	0.65%	0.78%	0.5%	1.21%	1.37%	1%
53	0.59%	0.7%	0.46%	1.13%	1.28%	0.93%
52	0.54%	0.63%	0.42%	1.06%	1.2%	0.87%
51	0.49%	0.56%	0.39%	0.97%	1.1%	0.8%
50	0.44%	0.51%	0.36%	0.92%	1.04%	0.75%
49	0.4%	0.46%	0.33%	0.84%	0.95%	0.69%
48	0.37%	0.42%	0.3%	0.79%	0.89%	0.65%
47	0.33%	0.38%	0.28%	0.73%	0.82%	0.6%
46	0.3%	0.34%	0.25%	0.68%	0.77%	0.56%
45	0.27%	0.3%	0.23%	0.64%	0.72%	0.53%
44	0.24%	0.27%	0.21%	0.6%	0.67%	0.5%
43	0.22%	0.24%	0.19%	0.57%	0.63%	0.48%
42	0.2%	0.22%	0.18%	0.54%	0.6%	0.45%
41	0.18%	0.2%	0.16%	0.5%	0.56%	0.42%
40	0.17%	0.18%	0.15%	0.48%	0.53%	0.41%
39	0.15%	0.16%	0.14%	0.45%	0.5%	0.38%
38	0.14%	0.15%	0.13%	0.42%	0.47%	0.36%
37	0.13%	0.14%	0.12%	0.4%	0.44%	0.34%
36	0.12%	0.13%	0.11%	0.38%	0.42%	0.32%
35	0.12%	0.13%	0.11%	0.36%	0.4%	0.31%
34	0.11%	0.12%	0.1%	0.34%	0.38%	0.29%
33	0.11%	0.11%	0.1%	0.32%	0.36%	0.27%
32	0.1%	0.11%	0.09%	0.31%	0.35%	0.26%
31	0.1%	0.1%	0.09%	0.29%	0.33%	0.25%
30	0.09%	0.1%	0.08%	0.28%	0.32%	0.24%
29	0.09%	0.1%	0.08%	0.27%	0.31%	0.23%
28	0.09%	0.1%	0.08%	0.26%	0.3%	0.22%
27	0.08%	0.1%	0.07%	0.25%	0.29%	0.21%
26	0.08%	0.1%	0.07%	0.24%	0.28%	0.2%
25	0.08%	0.1%	0.07%	0.24%	0.28%	0.19%
24	0.08%	0.1%	0.06%	0.23%	0.27%	0.18%
23	0.08%	0.1%	0.06%	0.22%	0.27%	0.18%
22	0.08%	0.1%	0.06%	0.22%	0.26%	0.17%
21	0.08%	0.1%	0.06%	0.21%	0.25%	0.16%
20	0.07%	0.09%	0.05%	0.19%	0.23%	0.15%
19	0.07%	0.09%	0.05%	0.18%	0.22%	0.15%
18	0.06%	0.08%	0.05%	0.17%	0.2%	0.14%
17	0.06%	0.07%	0.04%	0.15%	0.18%	0.13%
16	0.05%	0.06%	0.04%	0.14%	0.15%	0.12%
15	0.04%	0.05%	0.03%	0.12%	0.13%	0.11%
14	0.04%	0.04%	0.03%	0.11%	0.12%	0.1%
13	0.03%	0.04%	0.03%	0.1%	0.11%	0.09%
12	0.03%	0.03%	0.02%	0.09%	0.1%	0.09%
11	0.03%	0.03%	0.02%	0.09%	0.1%	0.08%
10	0.03%	0.03%	0.02%	0.1%	0.1%	0.09%
9	0.03%	0.03%	0.02%	0.1%	0.11%	0.09%
8	0.03%	0.04%	0.02%	0.11%	0.12%	0.1%
7	0.03%	0.04%	0.03%	0.13%	0.14%	0.11%
6	0.04%	0.04%	0.03%	0.15%	0.16%	0.13%
5	0.05%	0.05%	0.04%	0.18%	0.19%	0.16%
4	0.05%	0.06%	0.05%	0.23%	0.25%	0.22%
3	0.07%	0.07%	0.06%	0.32%	0.34%	0.3%
2	0.08%	0.08%	0.08%	0.46%	0.49%	0.44%
1	0.1%	0.1%	0.1%	0.76%	0.8%	0.72%
0	1.66%	1.86%	1.44%	4.97%	5.49%	4.45%

This chart displays the probability of dying at any given age in Bhutan compared to Equatorial Guinea, as 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.

Death rate by age in Bhutan vs Equatorial Guinea

Chart Table

Bhutan

Male

Female

Equatorial Guinea

Male

Female

1x

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

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 0 in Equatorial Guinea. The median age of death is 77.6 in Bhutan and 71.3 in Equatorial Guinea, 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 Equatorial Guinea more than their death rates.

Life expectancy in other countries

+ -

1x