Life Expectancy in Bhutan vs Ivory Coast (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Ivory Coast

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Ivory Coast
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102	101.9	102
99	100.9	100.8	101	101	101	101.1
98	100	99.9	100.1	100.1	100.1	100.2
97	99.1	99	99.2	99.3	99.2	99.3
96	98.2	98.1	98.3	98.4	98.4	98.4
95	97.4	97.2	97.5	97.5	97.5	97.5
94	96.5	96.3	96.6	96.7	96.6	96.7
93	95.7	95.5	95.8	95.8	95.8	95.9
92	94.8	94.6	95	95	94.9	95
91	94	93.8	94.2	94.2	94.1	94.2
90	93.2	93	93.4	93.4	93.3	93.5
89	92.5	92.2	92.7	92.6	92.5	92.7
88	91.7	91.4	92	91.8	91.7	91.9
87	91	90.7	91.2	91.1	90.9	91.2
86	90.3	89.9	90.5	90.3	90.1	90.5
85	89.6	89.2	89.9	89.6	89.4	89.8
84	88.9	88.5	89.2	88.9	88.6	89.1
83	88.2	87.8	88.6	88.2	87.9	88.5
82	87.6	87.2	88	87.6	87.2	87.9
81	87	86.6	87.4	86.9	86.5	87.3
80	86.4	85.9	86.8	86.3	85.8	86.7
79	85.8	85.4	86.3	85.7	85.2	86.1
78	85.3	84.8	85.8	85.1	84.5	85.6
77	84.8	84.2	85.3	84.5	83.9	85
76	84.3	83.7	84.9	83.9	83.3	84.5
75	83.8	83.2	84.5	83.3	82.7	83.9
74	83.4	82.7	84.1	82.7	82.1	83.4
73	83	82.3	83.7	82.2	81.5	82.9
72	82.5	81.8	83.3	81.6	80.9	82.4
71	82.2	81.4	83	81.1	80.4	81.9
70	81.8	81	82.7	80.6	79.8	81.4
69	81.4	80.6	82.4	80.1	79.3	80.9
68	81.1	80.2	82.1	79.6	78.8	80.5
67	80.8	79.8	81.8	79.1	78.3	80
66	80.5	79.5	81.5	78.7	77.8	79.6
65	80.2	79.2	81.3	78.2	77.4	79.2
64	79.9	78.9	81.1	77.8	76.9	78.7
63	79.7	78.6	80.9	77.4	76.5	78.4
62	79.4	78.3	80.7	77	76	78
61	79.2	78	80.5	76.6	75.6	77.6
60	79	77.8	80.3	76.2	75.2	77.3
59	78.8	77.5	80.2	75.8	74.8	76.9
58	78.6	77.3	80	75.5	74.5	76.6
57	78.4	77.1	79.9	75.1	74.1	76.3
56	78.2	76.9	79.7	74.8	73.8	76
55	78	76.7	79.6	74.5	73.4	75.7
54	77.9	76.5	79.5	74.2	73.1	75.4
53	77.7	76.4	79.3	73.9	72.8	75.1
52	77.6	76.2	79.2	73.6	72.5	74.9
51	77.5	76.1	79.1	73.3	72.2	74.6
50	77.4	76	79	73	71.9	74.4
49	77.3	75.8	78.9	72.8	71.6	74.1
48	77.1	75.7	78.8	72.5	71.3	73.9
47	77	75.6	78.7	72.3	71.1	73.6
46	77	75.5	78.7	72	70.8	73.4
45	76.9	75.4	78.6	71.8	70.6	73.2
44	76.8	75.3	78.5	71.6	70.4	73
43	76.7	75.3	78.4	71.4	70.1	72.8
42	76.7	75.2	78.4	71.1	69.9	72.6
41	76.6	75.1	78.3	70.9	69.7	72.4
40	76.5	75.1	78.3	70.7	69.5	72.2
39	76.5	75	78.2	70.5	69.3	72
38	76.4	75	78.2	70.4	69.1	71.8
37	76.4	74.9	78.1	70.2	68.9	71.7
36	76.3	74.9	78.1	70	68.7	71.5
35	76.3	74.8	78	69.8	68.5	71.3
34	76.2	74.8	78	69.7	68.4	71.2
33	76.2	74.7	77.9	69.5	68.2	71
32	76.1	74.7	77.9	69.4	68	70.9
31	76.1	74.6	77.8	69.2	67.9	70.7
30	76	74.6	77.8	69.1	67.7	70.6
29	76	74.5	77.8	68.9	67.6	70.5
28	76	74.5	77.7	68.8	67.4	70.3
27	75.9	74.4	77.7	68.6	67.3	70.2
26	75.9	74.4	77.7	68.5	67.1	70.1
25	75.8	74.3	77.6	68.4	67	70
24	75.8	74.3	77.6	68.2	66.8	69.9
23	75.8	74.2	77.6	68.1	66.7	69.8
22	75.7	74.2	77.5	68	66.6	69.7
21	75.7	74.1	77.5	67.9	66.4	69.6
20	75.6	74.1	77.5	67.8	66.3	69.5
19	75.6	74	77.4	67.7	66.2	69.4
18	75.6	74	77.4	67.6	66.1	69.3
17	75.5	74	77.4	67.5	66	69.2
16	75.5	73.9	77.4	67.4	65.9	69.1
15	75.5	73.9	77.3	67.3	65.8	69.1
14	75.4	73.9	77.3	67.3	65.8	69
13	75.4	73.9	77.3	67.2	65.7	69
12	75.4	73.8	77.3	67.2	65.7	68.9
11	75.4	73.8	77.3	67.1	65.6	68.9
10	75.4	73.8	77.3	67.1	65.5	68.8
9	75.4	73.8	77.2	67	65.5	68.8
8	75.3	73.7	77.2	66.9	65.4	68.7
7	75.3	73.7	77.2	66.9	65.3	68.7
6	75.3	73.7	77.2	66.8	65.2	68.6
5	75.3	73.7	77.2	66.7	65.1	68.5
4	75.2	73.6	77.1	66.6	65	68.4
3	75.2	73.6	77.1	66.4	64.8	68.2
2	75.1	73.5	77	66.1	64.5	67.9
1	75	73.4	76.9	65.7	64	67.5
0	73.8	72.1	75.8	62.4	60.5	64.7

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 69.1 in Ivory Coast, rising to 80.2 and 78.2 at 65, and to 86.4 and 86.3 at 80 — higher than the 73.8 and 62.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Ivory Coast

Male

Female

1x

Age	Survival probability
	Bhutan			Ivory Coast
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	0.15%	0.1%	0.21%
99	0.35%	0.18%	0.58%	0.23%	0.15%	0.33%
98	0.56%	0.3%	0.91%	0.36%	0.23%	0.51%
97	0.87%	0.49%	1.37%	0.54%	0.35%	0.77%
96	1.31%	0.77%	2.02%	0.79%	0.52%	1.13%
95	1.91%	1.17%	2.89%	1.13%	0.75%	1.61%
94	2.72%	1.73%	4.02%	1.58%	1.05%	2.23%
93	3.78%	2.48%	5.45%	2.15%	1.45%	3.02%
92	5.11%	3.46%	7.21%	2.86%	1.95%	3.98%
91	6.74%	4.71%	9.31%	3.72%	2.57%	5.14%
90	8.69%	6.25%	11.8%	4.76%	3.34%	6.51%
89	11%	8.1%	14.5%	5.96%	4.25%	8.06%
88	13.6%	10.3%	17.6%	7.34%	5.32%	9.82%
87	16.4%	12.7%	21%	8.89%	6.56%	11.8%
86	19.6%	15.5%	24.6%	10.6%	7.97%	13.8%
85	23%	18.5%	28.4%	12.5%	9.53%	16.1%
84	26.5%	21.7%	32.3%	14.5%	11.2%	18.4%
83	30.2%	25.1%	36.4%	16.6%	13.1%	20.8%
82	33.9%	28.5%	40.4%	18.7%	15.1%	23.2%
81	37.7%	32.1%	44.4%	20.9%	17.1%	25.6%
80	41.4%	35.7%	48.3%	23.2%	19.3%	28%
79	45%	39.2%	52%	25.5%	21.5%	30.4%
78	48.6%	42.7%	55.5%	27.9%	23.8%	32.8%
77	52%	46.2%	58.8%	30.3%	26.2%	35.3%
76	55.3%	49.6%	62%	32.7%	28.6%	37.7%
75	58.4%	52.8%	64.9%	35.1%	31%	40.1%
74	61.3%	55.9%	67.6%	37.5%	33.4%	42.5%
73	64.1%	58.9%	70.2%	39.9%	35.8%	44.8%
72	66.7%	61.8%	72.5%	42.3%	38.3%	47.1%
71	69.2%	64.5%	74.7%	44.6%	40.6%	49.3%
70	71.5%	67%	76.7%	46.9%	42.9%	51.5%
69	73.6%	69.4%	78.5%	49.1%	45.2%	53.6%
68	75.5%	71.6%	80.2%	51.2%	47.4%	55.6%
67	77.4%	73.7%	81.7%	53.3%	49.6%	57.6%
66	79%	75.6%	83%	55.4%	51.7%	59.6%
65	80.5%	77.4%	84.3%	57.3%	53.8%	61.4%
64	81.9%	79.1%	85.4%	59.2%	55.8%	63.2%
63	83.2%	80.6%	86.4%	61%	57.7%	64.9%
62	84.4%	82%	87.3%	62.8%	59.5%	66.5%
61	85.5%	83.3%	88.2%	64.4%	61.2%	68%
60	86.6%	84.6%	88.9%	65.9%	62.9%	69.4%
59	87.5%	85.7%	89.6%	67.4%	64.4%	70.7%
58	88.3%	86.7%	90.3%	68.8%	65.9%	72%
57	89.1%	87.7%	90.9%	70.1%	67.3%	73.2%
56	89.9%	88.5%	91.5%	71.3%	68.7%	74.3%
55	90.5%	89.3%	92%	72.5%	70%	75.4%
54	91.1%	90%	92.4%	73.7%	71.2%	76.4%
53	91.6%	90.6%	92.9%	74.8%	72.4%	77.4%
52	92.1%	91.2%	93.2%	75.8%	73.5%	78.3%
51	92.6%	91.7%	93.6%	76.8%	74.5%	79.2%
50	93%	92.2%	94%	77.7%	75.6%	80%
49	93.4%	92.6%	94.3%	78.6%	76.5%	80.8%
48	93.7%	93%	94.6%	79.5%	77.4%	81.6%
47	94%	93.3%	94.8%	80.2%	78.3%	82.3%
46	94.3%	93.7%	95.1%	81%	79.1%	83%
45	94.6%	93.9%	95.3%	81.7%	79.9%	83.6%
44	94.8%	94.2%	95.5%	82.4%	80.6%	84.2%
43	95%	94.4%	95.7%	83%	81.3%	84.8%
42	95.2%	94.6%	95.8%	83.6%	81.9%	85.4%
41	95.4%	94.8%	96%	84.2%	82.6%	85.9%
40	95.5%	95%	96.1%	84.8%	83.2%	86.4%
39	95.7%	95.1%	96.3%	85.3%	83.7%	86.9%
38	95.8%	95.3%	96.4%	85.8%	84.3%	87.4%
37	95.9%	95.4%	96.5%	86.3%	84.8%	87.8%
36	96.1%	95.5%	96.6%	86.7%	85.3%	88.3%
35	96.2%	95.7%	96.7%	87.2%	85.7%	88.7%
34	96.3%	95.8%	96.8%	87.6%	86.2%	89%
33	96.4%	95.9%	96.9%	88%	86.6%	89.4%
32	96.5%	96%	97%	88.3%	87%	89.7%
31	96.6%	96.1%	97.1%	88.7%	87.3%	90.1%
30	96.7%	96.2%	97.2%	89%	87.7%	90.4%
29	96.8%	96.3%	97.3%	89.3%	88.1%	90.7%
28	96.8%	96.4%	97.3%	89.6%	88.4%	90.9%
27	96.9%	96.5%	97.4%	89.9%	88.7%	91.2%
26	97%	96.6%	97.5%	90.2%	89%	91.5%
25	97.1%	96.7%	97.5%	90.5%	89.3%	91.7%
24	97.2%	96.8%	97.6%	90.8%	89.6%	91.9%
23	97.2%	96.8%	97.7%	91%	89.9%	92.1%
22	97.3%	96.9%	97.7%	91.3%	90.2%	92.3%
21	97.4%	97%	97.8%	91.5%	90.5%	92.5%
20	97.5%	97.1%	97.8%	91.7%	90.7%	92.7%
19	97.5%	97.2%	97.9%	91.9%	90.9%	92.9%
18	97.6%	97.3%	97.9%	92.1%	91.1%	93%
17	97.6%	97.4%	97.9%	92.2%	91.3%	93.2%
16	97.7%	97.4%	98%	92.4%	91.5%	93.3%
15	97.7%	97.5%	98%	92.5%	91.6%	93.4%
14	97.8%	97.5%	98%	92.6%	91.7%	93.5%
13	97.8%	97.5%	98.1%	92.7%	91.8%	93.6%
12	97.8%	97.6%	98.1%	92.8%	91.9%	93.7%
11	97.9%	97.6%	98.1%	92.9%	92%	93.8%
10	97.9%	97.6%	98.1%	93%	92.1%	93.8%
9	97.9%	97.7%	98.2%	93.1%	92.2%	93.9%
8	97.9%	97.7%	98.2%	93.2%	92.3%	94%
7	98%	97.7%	98.2%	93.3%	92.5%	94.1%
6	98%	97.8%	98.2%	93.4%	92.6%	94.2%
5	98.1%	97.8%	98.3%	93.6%	92.8%	94.4%
4	98.1%	97.9%	98.3%	93.8%	93%	94.5%
3	98.2%	98%	98.4%	94%	93.3%	94.8%
2	98.2%	98%	98.5%	94.4%	93.7%	95.1%
1	98.3%	98.1%	98.6%	95.1%	94.4%	95.7%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 65.9% in Ivory Coast are expected to live past 60, 71.5% and 46.9% past 70, 41.4% and 23.2% past 80, and only 8.69% and 4.76% 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

Ivory Coast

Male

Female

1x

Age	Probability of dying
	Bhutan			Ivory Coast
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	38.7%	38.1%	39.1%
99	39.6%	42.2%	38%	37.1%	36.7%	37.4%
98	37.6%	40.3%	36%	35.1%	34.9%	35.3%
97	35.6%	38.3%	34%	33.5%	33.6%	33.5%
96	33.7%	36.3%	32%	31.9%	32.1%	31.7%
95	31.7%	34.3%	30%	30.1%	30.6%	29.9%
94	29.8%	32.3%	28.1%	28.3%	29%	27.9%
93	27.9%	30.3%	26.3%	26.6%	27.4%	26%
92	26.1%	28.4%	24.4%	24.9%	25.8%	24.3%
91	24.2%	26.5%	22.6%	23.1%	24.2%	22.5%
90	22.5%	24.6%	20.8%	21.8%	23%	21%
89	20.7%	22.8%	19.1%	20.2%	21.4%	19.3%
88	19.1%	21.1%	17.5%	18.8%	20.1%	17.9%
87	17.6%	19.4%	16%	17.4%	18.8%	16.5%
86	16.1%	17.8%	14.7%	16.2%	17.6%	15.1%
85	14.7%	16.2%	13.4%	14.9%	16.4%	13.8%
84	13.4%	14.8%	12.2%	13.8%	15.3%	12.6%
83	12.2%	13.4%	11.1%	12.6%	14.1%	11.5%
82	11%	12.2%	9.98%	11.6%	13.1%	10.4%
81	9.96%	11.1%	8.96%	10.5%	12%	9.35%
80	8.98%	10%	8.02%	9.79%	11.2%	8.59%
79	8.09%	9.09%	7.15%	9.07%	10.4%	7.93%
78	7.28%	8.24%	6.37%	8.5%	9.69%	7.41%
77	6.56%	7.47%	5.67%	7.89%	8.97%	6.87%
76	5.91%	6.78%	5.06%	7.39%	8.38%	6.43%
75	5.33%	6.15%	4.52%	6.91%	7.82%	6.01%
74	4.82%	5.59%	4.05%	6.44%	7.28%	5.59%
73	4.35%	5.07%	3.63%	5.99%	6.77%	5.21%
72	3.92%	4.61%	3.25%	5.6%	6.3%	4.87%
71	3.54%	4.18%	2.91%	5.16%	5.8%	4.49%
70	3.19%	3.79%	2.6%	4.86%	5.46%	4.25%
69	2.88%	3.44%	2.32%	4.48%	5.02%	3.92%
68	2.6%	3.11%	2.07%	4.2%	4.69%	3.68%
67	2.34%	2.82%	1.84%	3.91%	4.37%	3.44%
66	2.11%	2.55%	1.64%	3.66%	4.08%	3.23%
65	1.9%	2.31%	1.46%	3.46%	3.84%	3.06%
64	1.71%	2.09%	1.31%	3.19%	3.56%	2.81%
63	1.55%	1.9%	1.17%	2.95%	3.3%	2.59%
62	1.41%	1.73%	1.06%	2.74%	3.06%	2.39%
61	1.29%	1.58%	0.96%	2.51%	2.81%	2.19%
60	1.17%	1.44%	0.87%	2.35%	2.64%	2.04%
59	1.07%	1.31%	0.79%	2.16%	2.42%	1.87%
58	0.97%	1.19%	0.72%	2.01%	2.25%	1.75%
57	0.88%	1.08%	0.66%	1.87%	2.09%	1.62%
56	0.8%	0.97%	0.6%	1.76%	1.96%	1.52%
55	0.72%	0.87%	0.55%	1.65%	1.84%	1.43%
54	0.65%	0.78%	0.5%	1.55%	1.73%	1.35%
53	0.59%	0.7%	0.46%	1.46%	1.62%	1.27%
52	0.54%	0.63%	0.42%	1.38%	1.53%	1.2%
51	0.49%	0.56%	0.39%	1.28%	1.42%	1.12%
50	0.44%	0.51%	0.36%	1.21%	1.35%	1.06%
49	0.4%	0.46%	0.33%	1.13%	1.25%	0.99%
48	0.37%	0.42%	0.3%	1.05%	1.17%	0.93%
47	0.33%	0.38%	0.28%	0.98%	1.09%	0.87%
46	0.3%	0.34%	0.25%	0.92%	1.02%	0.82%
45	0.27%	0.3%	0.23%	0.87%	0.96%	0.77%
44	0.24%	0.27%	0.21%	0.82%	0.9%	0.73%
43	0.22%	0.24%	0.19%	0.77%	0.85%	0.69%
42	0.2%	0.22%	0.18%	0.73%	0.81%	0.66%
41	0.18%	0.2%	0.16%	0.69%	0.75%	0.62%
40	0.17%	0.18%	0.15%	0.66%	0.72%	0.6%
39	0.15%	0.16%	0.14%	0.62%	0.68%	0.56%
38	0.14%	0.15%	0.13%	0.59%	0.64%	0.53%
37	0.13%	0.14%	0.12%	0.55%	0.6%	0.5%
36	0.12%	0.13%	0.11%	0.52%	0.57%	0.48%
35	0.12%	0.13%	0.11%	0.49%	0.54%	0.45%
34	0.11%	0.12%	0.1%	0.47%	0.51%	0.42%
33	0.11%	0.11%	0.1%	0.44%	0.48%	0.4%
32	0.1%	0.11%	0.09%	0.42%	0.46%	0.38%
31	0.1%	0.1%	0.09%	0.39%	0.43%	0.36%
30	0.09%	0.1%	0.08%	0.38%	0.42%	0.34%
29	0.09%	0.1%	0.08%	0.36%	0.4%	0.32%
28	0.09%	0.1%	0.08%	0.34%	0.38%	0.31%
27	0.08%	0.1%	0.07%	0.33%	0.37%	0.29%
26	0.08%	0.1%	0.07%	0.32%	0.35%	0.28%
25	0.08%	0.1%	0.07%	0.3%	0.34%	0.26%
24	0.08%	0.1%	0.06%	0.29%	0.33%	0.25%
23	0.08%	0.1%	0.06%	0.28%	0.32%	0.23%
22	0.08%	0.1%	0.06%	0.26%	0.3%	0.22%
21	0.08%	0.1%	0.06%	0.25%	0.29%	0.2%
20	0.07%	0.09%	0.05%	0.23%	0.27%	0.19%
19	0.07%	0.09%	0.05%	0.21%	0.25%	0.18%
18	0.06%	0.08%	0.05%	0.2%	0.23%	0.17%
17	0.06%	0.07%	0.04%	0.17%	0.2%	0.15%
16	0.05%	0.06%	0.04%	0.15%	0.17%	0.13%
15	0.04%	0.05%	0.03%	0.13%	0.15%	0.12%
14	0.04%	0.04%	0.03%	0.12%	0.13%	0.1%
13	0.03%	0.04%	0.03%	0.1%	0.12%	0.09%
12	0.03%	0.03%	0.02%	0.1%	0.11%	0.09%
11	0.03%	0.03%	0.02%	0.09%	0.11%	0.08%
10	0.03%	0.03%	0.02%	0.1%	0.11%	0.08%
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%	0.12%	0.14%	0.11%
6	0.04%	0.04%	0.03%	0.14%	0.15%	0.12%
5	0.05%	0.05%	0.04%	0.16%	0.18%	0.15%
4	0.05%	0.06%	0.05%	0.21%	0.24%	0.19%
3	0.07%	0.07%	0.06%	0.29%	0.33%	0.26%
2	0.08%	0.08%	0.08%	0.42%	0.47%	0.38%
1	0.1%	0.1%	0.1%	0.67%	0.73%	0.61%
0	1.66%	1.86%	1.44%	4.93%	5.58%	4.27%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 4.93% in Ivory Coast, 0.09% vs 0.38% at age 30, 1.17% vs 2.35% at 60, and 8.98% vs 9.79% at 80.

Death rate by age in Bhutan vs Ivory Coast

Chart Table

Bhutan

Male

Female

Ivory Coast

Male

Female

1x

Age	Death rate
	Bhutan			Ivory Coast
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	6.29	1.2	13.3
99	137.5	76.2	220.6	86.1	55.8	123.9
98	209.6	121.7	326	125.7	81.6	180.8
97	309	187.5	467	180.5	118	258.5
96	439	278.9	647	251.8	166.3	358
95	606	401	868	341	228.1	480
94	811	558	1,131	447	304	622
93	1,054	753	1,431	571	396	785
92	1,331	984	1,759	712	504	967
91	1,633	1,249	2,102	862	623	1,154
90	1,952	1,541	2,447	1,037	767	1,367
89	2,275	1,849	2,779	1,204	912	1,560
88	2,591	2,162	3,089	1,381	1,073	1,755
87	2,886	2,466	3,368	1,552	1,237	1,934
86	3,150	2,749	3,608	1,717	1,404	2,096
85	3,375	2,998	3,803	1,860	1,562	2,221
84	3,551	3,206	3,943	1,993	1,720	2,324
83	3,674	3,367	4,022	2,092	1,850	2,383
82	3,741	3,482	4,033	2,173	1,973	2,414
81	3,754	3,550	3,979	2,208	2,054	2,392
80	3,718	3,576	3,867	2,273	2,160	2,403
79	3,643	3,564	3,714	2,315	2,227	2,412
78	3,536	3,521	3,533	2,372	2,307	2,434
77	3,409	3,451	3,336	2,391	2,348	2,423
76	3,267	3,358	3,135	2,417	2,394	2,422
75	3,113	3,248	2,935	2,427	2,424	2,408
74	2,953	3,125	2,738	2,417	2,431	2,375
73	2,787	2,990	2,545	2,395	2,425	2,334
72	2,618	2,846	2,356	2,368	2,411	2,293
71	2,449	2,696	2,171	2,301	2,353	2,216
70	2,281	2,541	1,992	2,281	2,343	2,188
69	2,119	2,386	1,820	2,202	2,271	2,103
68	1,961	2,230	1,657	2,150	2,226	2,049
67	1,809	2,077	1,503	2,088	2,168	1,985
66	1,664	1,929	1,361	2,028	2,110	1,926
65	1,528	1,788	1,231	1,984	2,067	1,882
64	1,404	1,656	1,115	1,891	1,985	1,776
63	1,293	1,534	1,012	1,802	1,903	1,679
62	1,193	1,421	922	1,717	1,823	1,588
61	1,101	1,317	842	1,615	1,720	1,485
60	1,015	1,218	772	1,552	1,659	1,418
59	935	1,124	709	1,455	1,557	1,325
58	859	1,033	652	1,384	1,482	1,257
57	787	943	600	1,312	1,406	1,187
56	719	857	551	1,254	1,346	1,132
55	655	775	506	1,198	1,287	1,077
54	595	699	466	1,145	1,231	1,028
53	542	631	429	1,092	1,175	979
52	494	571	396	1,045	1,124	938
51	451	518	366	984	1,059	883
50	412	471	339	944	1,018	849
49	377	428	313	885	954	798
48	343	388	288.2	837	903	756
47	312	350	264.6	789	852	714
46	282.8	315	242	747	807	678
45	255.5	283.2	220.8	713	770	648
44	230.7	254	201.4	674	727	615
43	208.8	228.2	184.2	641	691	588
42	189.6	205.7	169.1	613	661	564
41	173.2	186.5	156.2	579	623	535
40	159.2	170.2	145	557	600	515
39	147.1	156.5	135.1	527	566	488
38	136.8	144.9	126.3	502	539	466
37	127.7	135.2	118.3	476	511	441
36	119.9	126.9	110.9	453	486	420
35	113.1	119.9	104.2	431	463	400
34	107	113.8	98.1	407	439	377
33	101.7	108.5	92.7	387	417	358
32	97	103.9	88	369	398	341
31	93	100	83.9	350	378	321
30	89.5	96.8	80.2	338	365	310
29	86.6	94.4	76.9	322	349	294.3
28	84.2	92.9	73.9	309	336	279.3
27	82.4	92.3	70.9	296.9	324	266
26	81	92.6	68.1	284.8	313	252.1
25	80.1	93.6	65.3	273.5	304	238.2
24	79.3	94.7	62.5	262.5	295	225.6
23	78.5	95.7	59.9	251.3	285.2	213.2
22	77.4	95.9	57.3	239.2	273.7	201.1
21	75.5	94.7	54.6	225.6	259.5	188.8
20	72.4	91.5	51.6	212.6	243.3	179.5
19	67.8	85.7	48.2	197	224.9	166.9
18	61.8	77.7	44.2	180.6	205.1	154.1
17	54.7	68	39.9	160.1	179.5	139.2
16	47.4	58.1	35.5	140.8	155.3	125.2
15	40.6	49	31.3	123	133.8	111.4
14	34.9	41.5	27.7	108	117.5	97.8
13	30.7	36	24.8	97.2	105.8	88
12	27.9	32.5	22.8	90.5	99.3	81.4
11	26.4	30.8	21.6	87.8	96.7	78.6
10	26.2	30.6	21.3	88.7	97.6	79.6
9	27.2	31.9	22	92.8	102.4	82.9
8	29.2	34.5	23.7	100.6	111.5	89.4
7	32.7	38.4	26.7	112.8	125.1	100.2
6	37.6	43.7	31.2	129.1	142.8	114.9
5	44.3	50.3	37.9	153.7	169.1	137.7
4	53	58.5	47.2	200.3	220.7	179.3
3	64.3	68.3	60	275.7	304	246.4
2	78.6	80.1	77.1	398	437	359
1	96.8	94	99.8	640	693	585
0	1,655	1,861	1,440	4,932	5,583	4,273

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 Ivory Coast. The median age of death is 77.6 in Bhutan and 68.6 in Ivory Coast, 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 Ivory Coast more than their death rates.

Life expectancy in other countries

+ -

1x