Life Expectancy in Bhutan vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Malawi
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.1	101.9	102.2
99	100.9	100.8	101	101.2	101	101.3
98	100	99.9	100.1	100.3	100.1	100.4
97	99.1	99	99.2	99.4	99.2	99.5
96	98.2	98.1	98.3	98.6	98.4	98.6
95	97.4	97.2	97.5	97.7	97.5	97.8
94	96.5	96.3	96.6	96.9	96.6	97
93	95.7	95.5	95.8	96	95.8	96.1
92	94.8	94.6	95	95.2	94.9	95.3
91	94	93.8	94.2	94.4	94.1	94.5
90	93.2	93	93.4	93.6	93.2	93.8
89	92.5	92.2	92.7	92.8	92.4	93
88	91.7	91.4	92	92.1	91.6	92.2
87	91	90.7	91.2	91.3	90.8	91.5
86	90.3	89.9	90.5	90.6	90.1	90.8
85	89.6	89.2	89.9	89.8	89.3	90.1
84	88.9	88.5	89.2	89.1	88.5	89.4
83	88.2	87.8	88.6	88.4	87.8	88.8
82	87.6	87.2	88	87.8	87.1	88.2
81	87	86.6	87.4	87.2	86.4	87.6
80	86.4	85.9	86.8	86.5	85.8	87
79	85.8	85.4	86.3	85.9	85.1	86.4
78	85.3	84.8	85.8	85.3	84.5	85.9
77	84.8	84.2	85.3	84.8	83.8	85.3
76	84.3	83.7	84.9	84.2	83.2	84.8
75	83.8	83.2	84.5	83.6	82.7	84.3
74	83.4	82.7	84.1	83.1	82.1	83.9
73	83	82.3	83.7	82.6	81.5	83.4
72	82.5	81.8	83.3	82.1	81	83
71	82.2	81.4	83	81.7	80.5	82.5
70	81.8	81	82.7	81.2	80	82.1
69	81.4	80.6	82.4	80.8	79.5	81.8
68	81.1	80.2	82.1	80.3	79	81.4
67	80.8	79.8	81.8	79.9	78.6	81
66	80.5	79.5	81.5	79.5	78.1	80.7
65	80.2	79.2	81.3	79.2	77.7	80.4
64	79.9	78.9	81.1	78.8	77.3	80
63	79.7	78.6	80.9	78.5	76.9	79.8
62	79.4	78.3	80.7	78.1	76.5	79.5
61	79.2	78	80.5	77.8	76.1	79.2
60	79	77.8	80.3	77.5	75.8	78.9
59	78.8	77.5	80.2	77.2	75.4	78.7
58	78.6	77.3	80	76.9	75.1	78.5
57	78.4	77.1	79.9	76.7	74.8	78.2
56	78.2	76.9	79.7	76.4	74.5	78
55	78	76.7	79.6	76.1	74.2	77.8
54	77.9	76.5	79.5	75.9	73.9	77.6
53	77.7	76.4	79.3	75.6	73.6	77.4
52	77.6	76.2	79.2	75.4	73.3	77.3
51	77.5	76.1	79.1	75.2	73	77.1
50	77.4	76	79	75	72.8	76.9
49	77.3	75.8	78.9	74.8	72.5	76.7
48	77.1	75.7	78.8	74.6	72.3	76.6
47	77	75.6	78.7	74.4	72.1	76.5
46	77	75.5	78.7	74.2	71.9	76.3
45	76.9	75.4	78.6	74	71.7	76.2
44	76.8	75.3	78.5	73.8	71.5	76.1
43	76.7	75.3	78.4	73.7	71.3	75.9
42	76.7	75.2	78.4	73.5	71.1	75.8
41	76.6	75.1	78.3	73.4	70.9	75.7
40	76.5	75.1	78.3	73.3	70.7	75.6
39	76.5	75	78.2	73.1	70.6	75.5
38	76.4	75	78.2	73	70.4	75.4
37	76.4	74.9	78.1	72.9	70.2	75.3
36	76.3	74.9	78.1	72.7	70.1	75.2
35	76.3	74.8	78	72.6	69.9	75.1
34	76.2	74.8	78	72.5	69.8	75
33	76.2	74.7	77.9	72.4	69.7	75
32	76.1	74.7	77.9	72.3	69.5	74.9
31	76.1	74.6	77.8	72.2	69.4	74.8
30	76	74.6	77.8	72.1	69.3	74.7
29	76	74.5	77.8	72	69.2	74.7
28	76	74.5	77.7	71.9	69.1	74.6
27	75.9	74.4	77.7	71.8	68.9	74.5
26	75.9	74.4	77.7	71.7	68.8	74.5
25	75.8	74.3	77.6	71.6	68.7	74.4
24	75.8	74.3	77.6	71.6	68.6	74.3
23	75.8	74.2	77.6	71.5	68.5	74.3
22	75.7	74.2	77.5	71.4	68.4	74.2
21	75.7	74.1	77.5	71.3	68.3	74.2
20	75.6	74.1	77.5	71.2	68.2	74.1
19	75.6	74	77.4	71.2	68.1	74.1
18	75.6	74	77.4	71.1	68	74
17	75.5	74	77.4	71	68	74
16	75.5	73.9	77.4	71	67.9	73.9
15	75.5	73.9	77.3	70.9	67.8	73.9
14	75.4	73.9	77.3	70.9	67.8	73.9
13	75.4	73.9	77.3	70.9	67.8	73.8
12	75.4	73.8	77.3	70.8	67.7	73.8
11	75.4	73.8	77.3	70.8	67.7	73.8
10	75.4	73.8	77.3	70.7	67.6	73.7
9	75.4	73.8	77.2	70.7	67.6	73.7
8	75.3	73.7	77.2	70.7	67.5	73.6
7	75.3	73.7	77.2	70.6	67.5	73.6
6	75.3	73.7	77.2	70.5	67.4	73.5
5	75.3	73.7	77.2	70.5	67.4	73.5
4	75.2	73.6	77.1	70.4	67.3	73.4
3	75.2	73.6	77.1	70.3	67.1	73.3
2	75.1	73.5	77	70.1	67	73.1
1	75	73.4	76.9	69.8	66.7	72.9
0	73.8	72.1	75.8	67.9	64.6	71.1

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 72.1 in Malawi, rising to 80.2 and 79.2 at 65, and to 86.4 and 86.5 at 80 — higher than the 73.8 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	Bhutan			Malawi
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	0.28%	0.11%	0.45%
99	0.35%	0.18%	0.58%	0.42%	0.17%	0.68%
98	0.56%	0.3%	0.91%	0.63%	0.26%	1%
97	0.87%	0.49%	1.37%	0.91%	0.4%	1.43%
96	1.31%	0.77%	2.02%	1.29%	0.58%	2.01%
95	1.91%	1.17%	2.89%	1.8%	0.84%	2.76%
94	2.72%	1.73%	4.02%	2.44%	1.19%	3.7%
93	3.78%	2.48%	5.45%	3.24%	1.64%	4.85%
92	5.11%	3.46%	7.21%	4.23%	2.22%	6.24%
91	6.74%	4.71%	9.31%	5.39%	2.93%	7.85%
90	8.69%	6.25%	11.8%	6.79%	3.82%	9.75%
89	11%	8.1%	14.5%	8.39%	4.88%	11.9%
88	13.6%	10.3%	17.6%	10.2%	6.14%	14.2%
87	16.4%	12.7%	21%	12.2%	7.6%	16.8%
86	19.6%	15.5%	24.6%	14.5%	9.26%	19.6%
85	23%	18.5%	28.4%	16.9%	11.1%	22.5%
84	26.5%	21.7%	32.3%	19.5%	13.2%	25.6%
83	30.2%	25.1%	36.4%	22.1%	15.4%	28.7%
82	33.9%	28.5%	40.4%	24.9%	17.8%	31.9%
81	37.7%	32.1%	44.4%	27.7%	20.2%	35%
80	41.4%	35.7%	48.3%	30.6%	22.8%	38.2%
79	45%	39.2%	52%	33.5%	25.5%	41.3%
78	48.6%	42.7%	55.5%	36.4%	28.2%	44.4%
77	52%	46.2%	58.8%	39.3%	31%	47.4%
76	55.3%	49.6%	62%	42.1%	33.7%	50.3%
75	58.4%	52.8%	64.9%	44.9%	36.5%	53.1%
74	61.3%	55.9%	67.6%	47.7%	39.2%	55.8%
73	64.1%	58.9%	70.2%	50.3%	41.9%	58.4%
72	66.7%	61.8%	72.5%	52.9%	44.6%	60.9%
71	69.2%	64.5%	74.7%	55.3%	47.1%	63.2%
70	71.5%	67%	76.7%	57.7%	49.6%	65.4%
69	73.6%	69.4%	78.5%	59.9%	52%	67.4%
68	75.5%	71.6%	80.2%	62.1%	54.3%	69.4%
67	77.4%	73.7%	81.7%	64.1%	56.5%	71.2%
66	79%	75.6%	83%	66%	58.7%	72.9%
65	80.5%	77.4%	84.3%	67.8%	60.7%	74.5%
64	81.9%	79.1%	85.4%	69.5%	62.7%	76%
63	83.2%	80.6%	86.4%	71.1%	64.6%	77.4%
62	84.4%	82%	87.3%	72.7%	66.4%	78.7%
61	85.5%	83.3%	88.2%	74.1%	68.1%	79.9%
60	86.6%	84.6%	88.9%	75.4%	69.7%	81%
59	87.5%	85.7%	89.6%	76.6%	71.2%	82%
58	88.3%	86.7%	90.3%	77.8%	72.6%	83%
57	89.1%	87.7%	90.9%	78.9%	74%	83.8%
56	89.9%	88.5%	91.5%	80%	75.2%	84.7%
55	90.5%	89.3%	92%	81%	76.5%	85.5%
54	91.1%	90%	92.4%	81.9%	77.6%	86.2%
53	91.6%	90.6%	92.9%	82.8%	78.7%	86.9%
52	92.1%	91.2%	93.2%	83.7%	79.8%	87.5%
51	92.6%	91.7%	93.6%	84.5%	80.7%	88.1%
50	93%	92.2%	94%	85.2%	81.7%	88.7%
49	93.4%	92.6%	94.3%	85.9%	82.5%	89.2%
48	93.7%	93%	94.6%	86.6%	83.3%	89.7%
47	94%	93.3%	94.8%	87.2%	84.1%	90.1%
46	94.3%	93.7%	95.1%	87.7%	84.8%	90.5%
45	94.6%	93.9%	95.3%	88.3%	85.5%	90.9%
44	94.8%	94.2%	95.5%	88.8%	86.1%	91.3%
43	95%	94.4%	95.7%	89.2%	86.7%	91.6%
42	95.2%	94.6%	95.8%	89.7%	87.3%	92%
41	95.4%	94.8%	96%	90.1%	87.8%	92.3%
40	95.5%	95%	96.1%	90.5%	88.3%	92.5%
39	95.7%	95.1%	96.3%	90.8%	88.8%	92.8%
38	95.8%	95.3%	96.4%	91.2%	89.3%	93.1%
37	95.9%	95.4%	96.5%	91.5%	89.7%	93.3%
36	96.1%	95.5%	96.6%	91.8%	90.1%	93.5%
35	96.2%	95.7%	96.7%	92.1%	90.5%	93.7%
34	96.3%	95.8%	96.8%	92.4%	90.8%	93.9%
33	96.4%	95.9%	96.9%	92.6%	91.1%	94.1%
32	96.5%	96%	97%	92.9%	91.5%	94.3%
31	96.6%	96.1%	97.1%	93.1%	91.8%	94.4%
30	96.7%	96.2%	97.2%	93.3%	92.1%	94.6%
29	96.8%	96.3%	97.3%	93.5%	92.3%	94.7%
28	96.8%	96.4%	97.3%	93.7%	92.6%	94.9%
27	96.9%	96.5%	97.4%	93.9%	92.9%	95%
26	97%	96.6%	97.5%	94.1%	93.1%	95.1%
25	97.1%	96.7%	97.5%	94.3%	93.3%	95.2%
24	97.2%	96.8%	97.6%	94.5%	93.6%	95.4%
23	97.2%	96.8%	97.7%	94.6%	93.8%	95.5%
22	97.3%	96.9%	97.7%	94.8%	94%	95.6%
21	97.4%	97%	97.8%	94.9%	94.2%	95.7%
20	97.5%	97.1%	97.8%	95.1%	94.4%	95.8%
19	97.5%	97.2%	97.9%	95.2%	94.6%	95.9%
18	97.6%	97.3%	97.9%	95.3%	94.7%	96%
17	97.6%	97.4%	97.9%	95.4%	94.9%	96%
16	97.7%	97.4%	98%	95.5%	95%	96.1%
15	97.7%	97.5%	98%	95.6%	95.1%	96.2%
14	97.8%	97.5%	98%	95.7%	95.2%	96.2%
13	97.8%	97.5%	98.1%	95.8%	95.2%	96.3%
12	97.8%	97.6%	98.1%	95.8%	95.3%	96.3%
11	97.9%	97.6%	98.1%	95.9%	95.4%	96.4%
10	97.9%	97.6%	98.1%	95.9%	95.4%	96.4%
9	97.9%	97.7%	98.2%	96%	95.5%	96.5%
8	97.9%	97.7%	98.2%	96.1%	95.6%	96.5%
7	98%	97.7%	98.2%	96.1%	95.7%	96.6%
6	98%	97.8%	98.2%	96.2%	95.8%	96.7%
5	98.1%	97.8%	98.3%	96.3%	95.9%	96.8%
4	98.1%	97.9%	98.3%	96.5%	96%	96.9%
3	98.2%	98%	98.4%	96.6%	96.2%	97%
2	98.2%	98%	98.5%	96.9%	96.5%	97.3%
1	98.3%	98.1%	98.6%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 75.4% in Malawi are expected to live past 60, 71.5% and 57.7% past 70, 41.4% and 30.6% past 80, and only 8.69% and 6.79% 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

Malawi

Male

Female

1x

Age	Probability of dying
	Bhutan			Malawi
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	35.9%	38.2%	35.3%
99	39.6%	42.2%	38%	34.4%	36.8%	33.8%
98	37.6%	40.3%	36%	32.6%	35.1%	31.9%
97	35.6%	38.3%	34%	31.2%	33.7%	30.4%
96	33.7%	36.3%	32%	29.7%	32.3%	28.8%
95	31.7%	34.3%	30%	28.1%	30.8%	27.2%
94	29.8%	32.3%	28.1%	26.3%	29.1%	25.4%
93	27.9%	30.3%	26.3%	24.7%	27.5%	23.7%
92	26.1%	28.4%	24.4%	23.3%	26%	22.2%
91	24.2%	26.5%	22.6%	21.6%	24.4%	20.5%
90	22.5%	24.6%	20.8%	20.6%	23.3%	19.5%
89	20.7%	22.8%	19.1%	19%	21.7%	17.8%
88	19.1%	21.1%	17.5%	17.8%	20.5%	16.6%
87	17.6%	19.4%	16%	16.6%	19.2%	15.3%
86	16.1%	17.8%	14.7%	15.4%	18%	14.2%
85	14.7%	16.2%	13.4%	14.3%	16.7%	13.1%
84	13.4%	14.8%	12.2%	13.3%	15.6%	12%
83	12.2%	13.4%	11.1%	12.1%	14.4%	10.9%
82	11%	12.2%	9.98%	11.1%	13.3%	9.93%
81	9.96%	11.1%	8.96%	10.1%	12.1%	8.87%
80	8.98%	10%	8.02%	9.44%	11.4%	8.27%
79	8.09%	9.09%	7.15%	8.65%	10.4%	7.55%
78	7.28%	8.24%	6.37%	8.01%	9.69%	6.95%
77	6.56%	7.47%	5.67%	7.31%	8.88%	6.31%
76	5.91%	6.78%	5.06%	6.76%	8.21%	5.8%
75	5.33%	6.15%	4.52%	6.27%	7.59%	5.34%
74	4.82%	5.59%	4.05%	5.75%	6.98%	4.86%
73	4.35%	5.07%	3.63%	5.28%	6.42%	4.43%
72	3.92%	4.61%	3.25%	4.86%	5.92%	4.05%
71	3.54%	4.18%	2.91%	4.4%	5.38%	3.63%
70	3.19%	3.79%	2.6%	4.11%	5.03%	3.39%
69	2.88%	3.44%	2.32%	3.72%	4.59%	3.03%
68	2.6%	3.11%	2.07%	3.43%	4.25%	2.78%
67	2.34%	2.82%	1.84%	3.15%	3.93%	2.54%
66	2.11%	2.55%	1.64%	2.9%	3.64%	2.33%
65	1.9%	2.31%	1.46%	2.7%	3.4%	2.17%
64	1.71%	2.09%	1.31%	2.47%	3.15%	1.97%
63	1.55%	1.9%	1.17%	2.27%	2.92%	1.8%
62	1.41%	1.73%	1.06%	2.09%	2.7%	1.65%
61	1.29%	1.58%	0.96%	1.9%	2.48%	1.49%
60	1.17%	1.44%	0.87%	1.77%	2.32%	1.39%
59	1.07%	1.31%	0.79%	1.62%	2.12%	1.25%
58	0.97%	1.19%	0.72%	1.5%	1.97%	1.15%
57	0.88%	1.08%	0.66%	1.4%	1.83%	1.06%
56	0.8%	0.97%	0.6%	1.31%	1.7%	0.98%
55	0.72%	0.87%	0.55%	1.23%	1.59%	0.91%
54	0.65%	0.78%	0.5%	1.16%	1.49%	0.85%
53	0.59%	0.7%	0.46%	1.09%	1.39%	0.79%
52	0.54%	0.63%	0.42%	1.02%	1.3%	0.74%
51	0.49%	0.56%	0.39%	0.94%	1.21%	0.67%
50	0.44%	0.51%	0.36%	0.89%	1.14%	0.63%
49	0.4%	0.46%	0.33%	0.82%	1.05%	0.58%
48	0.37%	0.42%	0.3%	0.76%	0.98%	0.54%
47	0.33%	0.38%	0.28%	0.7%	0.91%	0.5%
46	0.3%	0.34%	0.25%	0.65%	0.84%	0.46%
45	0.27%	0.3%	0.23%	0.6%	0.79%	0.43%
44	0.24%	0.27%	0.21%	0.56%	0.74%	0.4%
43	0.22%	0.24%	0.19%	0.52%	0.69%	0.37%
42	0.2%	0.22%	0.18%	0.49%	0.65%	0.35%
41	0.18%	0.2%	0.16%	0.45%	0.6%	0.33%
40	0.17%	0.18%	0.15%	0.43%	0.57%	0.31%
39	0.15%	0.16%	0.14%	0.4%	0.53%	0.29%
38	0.14%	0.15%	0.13%	0.38%	0.5%	0.27%
37	0.13%	0.14%	0.12%	0.35%	0.47%	0.25%
36	0.12%	0.13%	0.11%	0.33%	0.44%	0.23%
35	0.12%	0.13%	0.11%	0.31%	0.42%	0.22%
34	0.11%	0.12%	0.1%	0.29%	0.39%	0.21%
33	0.11%	0.11%	0.1%	0.28%	0.37%	0.19%
32	0.1%	0.11%	0.09%	0.26%	0.35%	0.18%
31	0.1%	0.1%	0.09%	0.25%	0.33%	0.17%
30	0.09%	0.1%	0.08%	0.24%	0.32%	0.16%
29	0.09%	0.1%	0.08%	0.23%	0.3%	0.15%
28	0.09%	0.1%	0.08%	0.22%	0.29%	0.15%
27	0.08%	0.1%	0.07%	0.21%	0.27%	0.14%
26	0.08%	0.1%	0.07%	0.2%	0.26%	0.13%
25	0.08%	0.1%	0.07%	0.19%	0.25%	0.13%
24	0.08%	0.1%	0.06%	0.18%	0.24%	0.12%
23	0.08%	0.1%	0.06%	0.18%	0.24%	0.12%
22	0.08%	0.1%	0.06%	0.17%	0.23%	0.11%
21	0.08%	0.1%	0.06%	0.16%	0.21%	0.11%
20	0.07%	0.09%	0.05%	0.15%	0.2%	0.1%
19	0.07%	0.09%	0.05%	0.14%	0.19%	0.1%
18	0.06%	0.08%	0.05%	0.13%	0.17%	0.09%
17	0.06%	0.07%	0.04%	0.11%	0.15%	0.08%
16	0.05%	0.06%	0.04%	0.1%	0.12%	0.08%
15	0.04%	0.05%	0.03%	0.09%	0.1%	0.07%
14	0.04%	0.04%	0.03%	0.07%	0.09%	0.06%
13	0.03%	0.04%	0.03%	0.07%	0.08%	0.06%
12	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
11	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
10	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
9	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
8	0.03%	0.04%	0.02%	0.07%	0.08%	0.06%
7	0.03%	0.04%	0.03%	0.08%	0.09%	0.07%
6	0.04%	0.04%	0.03%	0.09%	0.1%	0.08%
5	0.05%	0.05%	0.04%	0.1%	0.11%	0.09%
4	0.05%	0.06%	0.05%	0.13%	0.14%	0.12%
3	0.07%	0.07%	0.06%	0.17%	0.19%	0.16%
2	0.08%	0.08%	0.08%	0.25%	0.27%	0.22%
1	0.1%	0.1%	0.1%	0.39%	0.42%	0.36%
0	1.66%	1.86%	1.44%	2.76%	3.13%	2.38%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 2.76% in Malawi, 0.09% vs 0.24% at age 30, 1.17% vs 1.77% at 60, and 8.98% vs 9.44% at 80.

Death rate by age in Bhutan vs Malawi

Chart Table

Bhutan

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	Bhutan			Malawi
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	34.7	0.008	71
99	137.5	76.2	220.6	145.2	62.6	229.1
98	209.6	121.7	326	204.3	91.9	318
97	309	187.5	467	283.6	133.3	435
96	439	278.9	647	384	188.4	580
95	606	401	868	505	259.5	751
94	811	558	1,131	643	345	939
93	1,054	753	1,431	802	451	1,153
92	1,331	984	1,759	983	576	1,387
91	1,633	1,249	2,102	1,166	714	1,612
90	1,952	1,541	2,447	1,399	890	1,900
89	2,275	1,849	2,779	1,594	1,061	2,117
88	2,591	2,162	3,089	1,819	1,259	2,365
87	2,886	2,466	3,368	2,026	1,457	2,578
86	3,150	2,749	3,608	2,231	1,664	2,778
85	3,375	2,998	3,803	2,412	1,861	2,944
84	3,551	3,206	3,943	2,577	2,061	3,073
83	3,674	3,367	4,022	2,684	2,217	3,131
82	3,741	3,482	4,033	2,777	2,368	3,168
81	3,754	3,550	3,979	2,788	2,455	3,104
80	3,718	3,576	3,867	2,887	2,601	3,158
79	3,643	3,564	3,714	2,894	2,661	3,115
78	3,536	3,521	3,533	2,915	2,734	3,085
77	3,409	3,451	3,336	2,869	2,749	2,989
76	3,267	3,358	3,135	2,847	2,770	2,916
75	3,113	3,248	2,935	2,815	2,769	2,834
74	2,953	3,125	2,738	2,739	2,737	2,711
73	2,787	2,990	2,545	2,655	2,691	2,586
72	2,618	2,846	2,356	2,572	2,639	2,467
71	2,449	2,696	2,171	2,433	2,537	2,293
70	2,281	2,541	1,992	2,371	2,494	2,214
69	2,119	2,386	1,820	2,226	2,386	2,040
68	1,961	2,230	1,657	2,127	2,309	1,930
67	1,809	2,077	1,503	2,016	2,222	1,808
66	1,664	1,929	1,361	1,912	2,137	1,699
65	1,528	1,788	1,231	1,828	2,067	1,615
64	1,404	1,656	1,115	1,716	1,973	1,499
63	1,293	1,534	1,012	1,612	1,883	1,395
62	1,193	1,421	922	1,516	1,794	1,300
61	1,101	1,317	842	1,405	1,687	1,188
60	1,015	1,218	772	1,338	1,616	1,125
59	935	1,124	709	1,239	1,510	1,025
58	859	1,033	652	1,171	1,430	958
57	787	943	600	1,102	1,350	887
56	719	857	551	1,048	1,282	833
55	655	775	506	996	1,219	778
54	595	699	466	949	1,157	731
53	542	631	429	900	1,096	684
52	494	571	396	855	1,040	645
51	451	518	366	798	975	592
50	412	471	339	759	929	563
49	377	428	313	702	865	517
48	343	388	288.2	655	813	482
47	312	350	264.6	609	762	446
46	282.8	315	242	568	716	416
45	255.5	283.2	220.8	533	677	392
44	230.7	254	201.4	496	634	365
43	208.8	228.2	184.2	465	598	343
42	189.6	205.7	169.1	438	566	324
41	173.2	186.5	156.2	408	530	299.9
40	159.2	170.2	145	388	506	285.2
39	147.1	156.5	135.1	363	474	265.1
38	136.8	144.9	126.3	343	449	249.3
37	127.7	135.2	118.3	322	423	232
36	119.9	126.9	110.9	304	399	218.8
35	113.1	119.9	104.2	288.1	378	205.9
34	107	113.8	98.1	271.5	356	192.6
33	101.7	108.5	92.7	257	337	181.7
32	97	103.9	88	244.2	320	171.7
31	93	100	83.9	230.4	302	160.6
30	89.5	96.8	80.2	222	290.7	154.7
29	86.6	94.4	76.9	210.9	276.4	146.2
28	84.2	92.9	73.9	201.9	265	139.1
27	82.4	92.3	70.9	193.4	254.5	132.5
26	81	92.6	68.1	185.6	245.1	126.3
25	80.1	93.6	65.3	178.7	237.2	120.4
24	79.3	94.7	62.5	172.2	229	115.6
23	78.5	95.7	59.9	165.6	221	110.5
22	77.4	95.9	57.3	158.7	211.8	105.8
21	75.5	94.7	54.6	151	201	101.2
20	72.4	91.5	51.6	143.1	189.1	97.4
19	67.8	85.7	48.2	133.8	175.4	92.3
18	61.8	77.7	44.2	123.3	160.2	86.6
17	54.7	68	39.9	108.6	137.6	79.6
16	47.4	58.1	35.5	94.9	117	72.7
15	40.6	49	31.3	82	98.8	65.2
14	34.9	41.5	27.7	71.7	85	58.4
13	30.7	36	24.8	64.5	75.3	53.7
12	27.9	32.5	22.8	60.4	70.1	50.6
11	26.4	30.8	21.6	59	68.1	49.8
10	26.2	30.6	21.3	59.7	68.2	51.1
9	27.2	31.9	22	62.8	71.3	54.1
8	29.2	34.5	23.7	68.3	77.3	59.2
7	32.7	38.4	26.7	76.3	85.7	66.7
6	37.6	43.7	31.2	85.9	95.4	76.4
5	44.3	50.3	37.9	100.2	110	90.4
4	53	58.5	47.2	126.8	139.2	114.2
3	64.3	68.3	60	168.3	184.6	151.7
2	78.6	80.1	77.1	237.5	258.9	215.8
1	96.8	94	99.8	379	404	353
0	1,655	1,861	1,440	2,759	3,129	2,385

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 78 in Malawi. The median age of death is 77.6 in Bhutan and 73.1 in Malawi, 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 Malawi more than their death rates.

Life expectancy in other countries

+ -

1x