Life Expectancy in Bangladesh vs Malaysia (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Malaysia

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Malaysia
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.8	102.5	102.9
99	101.2	100.9	101.3	101.9	101.6	102
98	100.3	99.9	100.4	101.1	100.8	101.2
97	99.4	99.1	99.6	100.2	99.9	100.4
96	98.6	98.2	98.8	99.4	99.1	99.6
95	97.8	97.4	98	98.6	98.3	98.8
94	97	96.6	97.2	97.9	97.5	98.1
93	96.3	95.9	96.5	97.1	96.7	97.3
92	95.5	95.1	95.8	96.3	95.9	96.6
91	94.8	94.4	95.1	95.6	95.2	95.9
90	94.1	93.6	94.4	94.9	94.4	95.2
89	93.4	92.9	93.8	94.2	93.7	94.5
88	92.8	92.2	93.1	93.5	93	93.8
87	92.1	91.6	92.5	92.8	92.3	93.2
86	91.5	90.9	91.9	92.2	91.6	92.6
85	90.9	90.3	91.3	91.5	91	92
84	90.3	89.6	90.8	91	90.4	91.4
83	89.7	89	90.2	90.4	89.8	90.9
82	89.2	88.5	89.7	89.8	89.2	90.3
81	88.6	87.9	89.2	89.2	88.6	89.8
80	88.1	87.4	88.7	88.7	88	89.2
79	87.6	86.8	88.3	88.1	87.4	88.7
78	87.1	86.3	87.8	87.5	86.9	88.2
77	86.7	85.8	87.4	87	86.3	87.7
76	86.2	85.4	87	86.5	85.8	87.2
75	85.8	84.9	86.6	86	85.3	86.8
74	85.4	84.5	86.2	85.6	84.8	86.4
73	85	84	85.9	85.2	84.4	86
72	84.6	83.6	85.5	84.9	84	85.7
71	84.2	83.2	85.2	84.5	83.6	85.5
70	83.9	82.9	84.9	84.2	83.2	85.2
69	83.6	82.5	84.6	83.9	82.9	84.9
68	83.3	82.2	84.3	83.6	82.5	84.6
67	83	81.9	84	83.3	82.1	84.4
66	82.7	81.6	83.8	83	81.8	84.2
65	82.4	81.3	83.5	82.7	81.5	83.9
64	82.2	81.1	83.3	82.4	81.2	83.7
63	81.9	80.8	83.1	82.2	80.9	83.5
62	81.6	80.5	82.9	81.9	80.6	83.3
61	81.4	80.2	82.7	81.7	80.3	83.1
60	81.2	79.9	82.5	81.5	80.1	83
59	80.9	79.6	82.3	81.3	79.8	82.8
58	80.7	79.4	82.2	81.1	79.6	82.7
57	80.5	79.1	82	80.9	79.4	82.5
56	80.3	78.9	81.8	80.7	79.2	82.4
55	80.1	78.7	81.7	80.5	78.9	82.2
54	80	78.5	81.5	80.4	78.7	82.1
53	79.8	78.3	81.4	80.2	78.5	82
52	79.7	78.1	81.3	80.1	78.4	81.9
51	79.5	78	81.1	79.9	78.2	81.8
50	79.4	77.8	81	79.8	78	81.7
49	79.2	77.7	80.9	79.7	77.9	81.6
48	79.1	77.6	80.8	79.5	77.8	81.5
47	79	77.4	80.7	79.4	77.6	81.4
46	78.9	77.3	80.6	79.3	77.5	81.3
45	78.8	77.3	80.5	79.2	77.4	81.3
44	78.8	77.2	80.5	79.1	77.3	81.2
43	78.7	77.1	80.4	79.1	77.2	81.2
42	78.6	77	80.3	79	77	81.1
41	78.5	77	80.2	78.9	77	81
40	78.5	76.9	80.2	78.8	76.9	81
39	78.4	76.8	80.1	78.7	76.8	80.9
38	78.4	76.8	80.1	78.7	76.7	80.9
37	78.3	76.7	80	78.6	76.6	80.9
36	78.3	76.7	80	78.6	76.5	80.8
35	78.2	76.6	79.9	78.5	76.5	80.8
34	78.2	76.6	79.9	78.5	76.4	80.8
33	78.1	76.5	79.8	78.4	76.3	80.7
32	78.1	76.5	79.8	78.4	76.3	80.7
31	78	76.4	79.8	78.3	76.2	80.7
30	78	76.4	79.7	78.3	76.2	80.6
29	77.9	76.3	79.7	78.2	76.1	80.6
28	77.9	76.3	79.6	78.2	76.1	80.6
27	77.8	76.2	79.6	78.2	76	80.6
26	77.8	76.2	79.6	78.1	76	80.5
25	77.8	76.1	79.5	78.1	76	80.5
24	77.7	76.1	79.5	78.1	75.9	80.5
23	77.7	76	79.4	78	75.9	80.5
22	77.6	76	79.4	78	75.8	80.5
21	77.6	75.9	79.3	78	75.8	80.4
20	77.5	75.9	79.3	77.9	75.7	80.4
19	77.5	75.8	79.2	77.9	75.6	80.4
18	77.4	75.8	79.2	77.8	75.6	80.4
17	77.4	75.7	79.1	77.8	75.5	80.4
16	77.3	75.7	79.1	77.8	75.5	80.4
15	77.3	75.6	79	77.7	75.4	80.3
14	77.2	75.6	79	77.7	75.4	80.3
13	77.2	75.6	78.9	77.7	75.4	80.3
12	77.2	75.5	78.9	77.7	75.4	80.3
11	77.1	75.5	78.9	77.7	75.4	80.3
10	77.1	75.5	78.9	77.7	75.4	80.3
9	77.1	75.5	78.8	77.7	75.3	80.3
8	77.1	75.4	78.8	77.6	75.3	80.3
7	77	75.4	78.8	77.6	75.3	80.3
6	77	75.3	78.7	77.6	75.3	80.2
5	76.9	75.3	78.6	77.6	75.3	80.2
4	76.9	75.2	78.6	77.6	75.3	80.2
3	76.8	75.2	78.5	77.6	75.3	80.2
2	76.8	75.2	78.5	77.6	75.2	80.2
1	76.6	75	78.3	77.5	75.2	80.2
0	75.5	73.8	77.2	77.2	74.8	79.8

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 Bangladesh can expect to live to 78 years compared to 78.3 in Malaysia, rising to 82.4 and 82.7 at 65, and to 88.1 and 88.7 at 80 — higher than the 75.5 and 77.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Malaysia

Male

Female

1x

Age	Survival probability
	Bangladesh			Malaysia
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	2.02%	1.16%	3%
99	1.37%	0.63%	2.15%	2.74%	1.64%	4%
98	2.06%	1.05%	3.16%	3.64%	2.26%	5.22%
97	2.99%	1.63%	4.44%	4.74%	3.05%	6.67%
96	4.16%	2.43%	6.03%	6.06%	4.02%	8.38%
95	5.6%	3.46%	7.92%	7.59%	5.19%	10.3%
94	7.32%	4.75%	10.1%	9.35%	6.58%	12.5%
93	9.32%	6.3%	12.6%	11.3%	8.19%	14.9%
92	11.6%	8.13%	15.3%	13.6%	10%	17.6%
91	14.1%	10.2%	18.3%	16%	12.1%	20.5%
90	16.8%	12.6%	21.4%	18.7%	14.3%	23.6%
89	19.8%	15.2%	24.7%	21.5%	16.8%	26.8%
88	22.9%	18%	28.1%	24.5%	19.5%	30.2%
87	26.1%	21%	31.6%	27.6%	22.3%	33.6%
86	29.4%	24.1%	35%	30.7%	25.2%	37%
85	32.7%	27.4%	38.5%	33.8%	28.1%	40.4%
84	36.1%	30.7%	41.9%	36.9%	31%	43.6%
83	39.4%	34%	45.2%	40%	34%	46.9%
82	42.7%	37.3%	48.5%	43.1%	37%	50.1%
81	45.9%	40.5%	51.7%	46.3%	40%	53.3%
80	49%	43.7%	54.7%	49.5%	43.1%	56.7%
79	52%	46.8%	57.6%	52.8%	46.3%	60%
78	54.9%	49.9%	60.3%	56%	49.6%	63.4%
77	57.7%	52.9%	62.9%	59.2%	52.7%	66.5%
76	60.4%	55.7%	65.3%	62.2%	55.7%	69.5%
75	62.9%	58.5%	67.6%	64.9%	58.5%	72.1%
74	65.2%	61.1%	69.8%	67.3%	61.1%	74.4%
73	67.5%	63.5%	71.8%	69.6%	63.5%	76.4%
72	69.6%	65.8%	73.6%	71.6%	65.7%	78.2%
71	71.5%	68%	75.4%	73.4%	67.8%	79.8%
70	73.4%	69.9%	77%	75.2%	69.8%	81.3%
69	75.1%	71.8%	78.6%	76.9%	71.7%	82.7%
68	76.6%	73.4%	80%	78.5%	73.6%	84%
67	78.1%	75%	81.4%	80%	75.4%	85.3%
66	79.5%	76.4%	82.6%	81.5%	77.1%	86.4%
65	80.7%	77.8%	83.8%	82.8%	78.6%	87.5%
64	81.9%	79.2%	84.8%	84%	80.1%	88.5%
63	83.1%	80.5%	85.8%	85.1%	81.4%	89.3%
62	84.2%	81.8%	86.6%	86.2%	82.6%	90.2%
61	85.2%	83%	87.4%	87.1%	83.8%	90.9%
60	86.2%	84.2%	88.1%	88%	84.9%	91.6%
59	87.1%	85.4%	88.8%	88.9%	85.9%	92.2%
58	87.9%	86.4%	89.4%	89.6%	86.9%	92.8%
57	88.7%	87.4%	90%	90.4%	87.8%	93.4%
56	89.4%	88.3%	90.5%	91.1%	88.7%	93.9%
55	90.1%	89.1%	91%	91.7%	89.5%	94.4%
54	90.7%	89.8%	91.5%	92.3%	90.2%	94.8%
53	91.3%	90.5%	92%	92.9%	90.9%	95.2%
52	91.8%	91.1%	92.4%	93.4%	91.5%	95.6%
51	92.3%	91.7%	92.8%	93.9%	92.1%	95.9%
50	92.7%	92.2%	93.2%	94.3%	92.6%	96.2%
49	93.1%	92.6%	93.5%	94.7%	93.1%	96.5%
48	93.4%	93%	93.8%	95%	93.6%	96.7%
47	93.8%	93.4%	94.1%	95.3%	94%	96.9%
46	94%	93.7%	94.3%	95.6%	94.4%	97.1%
45	94.3%	94%	94.5%	95.9%	94.7%	97.3%
44	94.5%	94.2%	94.7%	96.2%	95%	97.5%
43	94.7%	94.4%	94.9%	96.4%	95.4%	97.6%
42	94.9%	94.6%	95.1%	96.6%	95.6%	97.8%
41	95.1%	94.8%	95.3%	96.8%	95.9%	97.9%
40	95.2%	95%	95.5%	97%	96.1%	98%
39	95.4%	95.1%	95.6%	97.2%	96.4%	98.2%
38	95.5%	95.3%	95.7%	97.4%	96.6%	98.3%
37	95.6%	95.4%	95.8%	97.5%	96.8%	98.3%
36	95.7%	95.5%	95.9%	97.6%	96.9%	98.4%
35	95.9%	95.6%	96%	97.8%	97.1%	98.5%
34	96%	95.8%	96.1%	97.9%	97.3%	98.6%
33	96.1%	95.9%	96.2%	98%	97.4%	98.7%
32	96.2%	96%	96.3%	98.1%	97.5%	98.7%
31	96.3%	96.1%	96.4%	98.2%	97.6%	98.8%
30	96.3%	96.2%	96.5%	98.3%	97.8%	98.8%
29	96.4%	96.3%	96.5%	98.3%	97.9%	98.9%
28	96.5%	96.4%	96.6%	98.4%	98%	98.9%
27	96.6%	96.5%	96.7%	98.5%	98%	99%
26	96.7%	96.6%	96.8%	98.5%	98.1%	99%
25	96.7%	96.7%	96.8%	98.6%	98.2%	99%
24	96.8%	96.7%	96.9%	98.7%	98.3%	99.1%
23	96.9%	96.8%	97%	98.7%	98.4%	99.1%
22	97%	96.9%	97%	98.8%	98.5%	99.1%
21	97%	97%	97.1%	98.9%	98.6%	99.2%
20	97.1%	97.1%	97.2%	98.9%	98.7%	99.2%
19	97.2%	97.2%	97.3%	99%	98.8%	99.2%
18	97.3%	97.3%	97.4%	99.1%	98.9%	99.3%
17	97.4%	97.4%	97.5%	99.1%	99%	99.3%
16	97.5%	97.4%	97.6%	99.2%	99.1%	99.3%
15	97.6%	97.5%	97.6%	99.2%	99.1%	99.3%
14	97.6%	97.6%	97.7%	99.2%	99.2%	99.3%
13	97.7%	97.6%	97.8%	99.3%	99.2%	99.4%
12	97.7%	97.7%	97.8%	99.3%	99.2%	99.4%
11	97.8%	97.7%	97.8%	99.3%	99.2%	99.4%
10	97.8%	97.8%	97.9%	99.3%	99.3%	99.4%
9	97.9%	97.8%	97.9%	99.3%	99.3%	99.4%
8	97.9%	97.8%	98%	99.4%	99.3%	99.4%
7	98%	97.9%	98%	99.4%	99.3%	99.4%
6	98%	97.9%	98.1%	99.4%	99.3%	99.5%
5	98.1%	98%	98.2%	99.4%	99.4%	99.5%
4	98.2%	98.1%	98.3%	99.4%	99.4%	99.5%
3	98.2%	98.1%	98.3%	99.5%	99.4%	99.5%
2	98.3%	98.2%	98.4%	99.5%	99.4%	99.6%
1	98.5%	98.4%	98.6%	99.5%	99.5%	99.6%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 88% in Malaysia are expected to live past 60, 73.4% and 75.2% past 70, 49% and 49.5% past 80, and only 16.8% and 18.7% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Bangladesh

Male

Female

Malaysia

Male

Female

1x

Age	Probability of dying
	Bangladesh			Malaysia
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	27.8%	30.8%	26.5%
99	36.9%	43.4%	35%	26.4%	29.2%	25%
98	33.8%	39.5%	31.9%	24.8%	27.5%	23.4%
97	30.9%	36%	29%	23.2%	25.8%	21.8%
96	28.2%	32.7%	26.3%	21.7%	24.2%	20.4%
95	25.7%	29.8%	23.8%	20.2%	22.6%	18.9%
94	23.5%	27.1%	21.6%	18.8%	21.1%	17.5%
93	21.4%	24.7%	19.6%	17.5%	19.6%	16.2%
92	19.5%	22.5%	17.9%	16.4%	18.3%	15.1%
91	17.8%	20.5%	16.2%	15.3%	17%	14.1%
90	16.3%	18.7%	14.7%	14.3%	15.9%	13.1%
89	14.8%	17.1%	13.3%	13.3%	14.8%	12.1%
88	13.5%	15.6%	12.1%	12.2%	13.7%	11.2%
87	12.3%	14.3%	10.9%	11.2%	12.5%	10.2%
86	11.2%	13%	9.89%	10.2%	11.4%	9.17%
85	10.2%	11.9%	8.97%	9.21%	10.4%	8.27%
84	9.3%	10.8%	8.14%	8.38%	9.46%	7.5%
83	8.45%	9.74%	7.4%	7.71%	8.69%	6.88%
82	7.68%	8.82%	6.72%	7.2%	8.09%	6.44%
81	6.98%	8.01%	6.1%	6.82%	7.63%	6.12%
80	6.36%	7.29%	5.53%	6.51%	7.26%	5.87%
79	5.8%	6.68%	5.02%	6.21%	6.9%	5.61%
78	5.29%	6.12%	4.54%	5.83%	6.48%	5.25%
77	4.82%	5.61%	4.11%	5.35%	5.98%	4.78%
76	4.39%	5.14%	3.73%	4.78%	5.4%	4.21%
75	3.99%	4.69%	3.37%	4.18%	4.8%	3.62%
74	3.64%	4.27%	3.06%	3.63%	4.23%	3.08%
73	3.32%	3.87%	2.78%	3.17%	3.75%	2.63%
72	3.02%	3.49%	2.54%	2.81%	3.37%	2.28%
71	2.74%	3.15%	2.32%	2.54%	3.09%	2.03%
70	2.49%	2.82%	2.13%	2.35%	2.87%	1.84%
69	2.26%	2.53%	1.96%	2.2%	2.7%	1.71%
68	2.05%	2.28%	1.81%	2.06%	2.54%	1.58%
67	1.87%	2.07%	1.66%	1.91%	2.37%	1.47%
66	1.72%	1.9%	1.52%	1.76%	2.18%	1.34%
65	1.58%	1.78%	1.38%	1.6%	1.99%	1.22%
64	1.47%	1.69%	1.24%	1.45%	1.8%	1.1%
63	1.38%	1.63%	1.11%	1.31%	1.63%	0.99%
62	1.29%	1.57%	0.99%	1.19%	1.49%	0.9%
61	1.21%	1.51%	0.89%	1.1%	1.37%	0.82%
60	1.12%	1.43%	0.81%	1.01%	1.28%	0.75%
59	1.04%	1.33%	0.74%	0.95%	1.2%	0.69%
58	0.96%	1.23%	0.69%	0.88%	1.12%	0.64%
57	0.88%	1.12%	0.64%	0.83%	1.05%	0.6%
56	0.8%	1.01%	0.6%	0.77%	0.97%	0.55%
55	0.74%	0.91%	0.57%	0.71%	0.9%	0.51%
54	0.68%	0.83%	0.54%	0.65%	0.83%	0.47%
53	0.62%	0.75%	0.5%	0.59%	0.75%	0.42%
52	0.57%	0.68%	0.47%	0.54%	0.69%	0.38%
51	0.52%	0.61%	0.44%	0.49%	0.63%	0.34%
50	0.47%	0.55%	0.4%	0.45%	0.57%	0.31%
49	0.42%	0.48%	0.36%	0.41%	0.52%	0.28%
48	0.37%	0.43%	0.32%	0.37%	0.48%	0.25%
47	0.33%	0.37%	0.28%	0.34%	0.44%	0.23%
46	0.29%	0.33%	0.25%	0.31%	0.41%	0.21%
45	0.26%	0.29%	0.23%	0.29%	0.38%	0.19%
44	0.23%	0.26%	0.21%	0.27%	0.35%	0.17%
43	0.22%	0.23%	0.2%	0.25%	0.32%	0.16%
42	0.2%	0.21%	0.19%	0.23%	0.3%	0.15%
41	0.19%	0.19%	0.18%	0.21%	0.27%	0.13%
40	0.17%	0.18%	0.17%	0.19%	0.25%	0.12%
39	0.16%	0.16%	0.15%	0.18%	0.23%	0.11%
38	0.14%	0.15%	0.14%	0.16%	0.21%	0.1%
37	0.13%	0.14%	0.12%	0.15%	0.2%	0.09%
36	0.12%	0.13%	0.11%	0.14%	0.18%	0.09%
35	0.11%	0.13%	0.1%	0.13%	0.17%	0.08%
34	0.11%	0.12%	0.09%	0.12%	0.16%	0.07%
33	0.1%	0.12%	0.09%	0.11%	0.14%	0.07%
32	0.1%	0.12%	0.09%	0.1%	0.13%	0.06%
31	0.1%	0.12%	0.09%	0.09%	0.12%	0.06%
30	0.1%	0.11%	0.09%	0.08%	0.11%	0.05%
29	0.09%	0.11%	0.08%	0.08%	0.1%	0.05%
28	0.09%	0.1%	0.08%	0.07%	0.1%	0.04%
27	0.08%	0.09%	0.07%	0.07%	0.09%	0.04%
26	0.08%	0.08%	0.07%	0.06%	0.09%	0.04%
25	0.07%	0.08%	0.07%	0.06%	0.09%	0.04%
24	0.07%	0.08%	0.07%	0.06%	0.09%	0.04%
23	0.08%	0.08%	0.07%	0.06%	0.09%	0.03%
22	0.08%	0.08%	0.07%	0.07%	0.1%	0.03%
21	0.08%	0.09%	0.08%	0.07%	0.1%	0.03%
20	0.09%	0.09%	0.09%	0.07%	0.11%	0.03%
19	0.09%	0.1%	0.09%	0.07%	0.11%	0.03%
18	0.1%	0.1%	0.09%	0.07%	0.1%	0.03%
17	0.09%	0.09%	0.09%	0.06%	0.09%	0.03%
16	0.09%	0.09%	0.09%	0.05%	0.07%	0.02%
15	0.08%	0.08%	0.08%	0.04%	0.06%	0.02%
14	0.07%	0.07%	0.07%	0.03%	0.04%	0.02%
13	0.06%	0.05%	0.06%	0.03%	0.03%	0.02%
12	0.05%	0.04%	0.05%	0.02%	0.03%	0.02%
11	0.04%	0.04%	0.04%	0.02%	0.02%	0.01%
10	0.04%	0.03%	0.04%	0.02%	0.02%	0.01%
9	0.04%	0.04%	0.04%	0.02%	0.02%	0.01%
8	0.05%	0.04%	0.05%	0.02%	0.02%	0.01%
7	0.06%	0.05%	0.06%	0.02%	0.02%	0.01%
6	0.07%	0.07%	0.07%	0.02%	0.02%	0.02%
5	0.08%	0.07%	0.08%	0.02%	0.02%	0.02%
4	0.07%	0.07%	0.08%	0.02%	0.02%	0.02%
3	0.06%	0.06%	0.07%	0.03%	0.03%	0.02%
2	0.07%	0.07%	0.07%	0.03%	0.03%	0.03%
1	0.18%	0.18%	0.17%	0.03%	0.03%	0.03%
0	1.53%	1.61%	1.44%	0.48%	0.53%	0.42%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.48% in Malaysia, 0.1% vs 0.08% at age 30, 1.12% vs 1.01% at 60, and 6.36% vs 6.51% at 80.

Death rate by age in Bangladesh vs Malaysia

Chart Table

Bangladesh

Male

Female

Malaysia

Male

Female

1x

Age	Death rate
	Bangladesh			Malaysia
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	503	283.8	749
99	504	274.2	753	722	478	999
98	698	414	1,006	901	621	1,219
97	924	588	1,288	1,101	787	1,458
96	1,175	796	1,587	1,315	972	1,706
95	1,440	1,030	1,887	1,536	1,174	1,950
94	1,718	1,287	2,186	1,759	1,387	2,186
93	1,995	1,557	2,471	1,983	1,605	2,416
92	2,264	1,828	2,735	2,216	1,829	2,655
91	2,514	2,095	2,969	2,448	2,056	2,891
90	2,738	2,353	3,155	2,663	2,278	3,094
89	2,932	2,596	3,297	2,851	2,485	3,260
88	3,093	2,815	3,394	2,999	2,662	3,374
87	3,217	3,003	3,447	3,089	2,795	3,416
86	3,301	3,148	3,465	3,124	2,876	3,396
85	3,347	3,247	3,451	3,118	2,917	3,338
84	3,355	3,299	3,412	3,096	2,935	3,272
83	3,331	3,310	3,348	3,084	2,953	3,226
82	3,279	3,289	3,261	3,103	2,991	3,224
81	3,205	3,246	3,153	3,155	3,055	3,264
80	3,114	3,189	3,027	3,223	3,131	3,323
79	3,015	3,128	2,889	3,278	3,197	3,365
78	2,903	3,054	2,742	3,267	3,211	3,326
77	2,781	2,966	2,589	3,167	3,152	3,181
76	2,649	2,862	2,434	2,972	3,009	2,928
75	2,510	2,740	2,281	2,715	2,806	2,610
74	2,374	2,605	2,137	2,447	2,586	2,288
73	2,238	2,458	1,998	2,206	2,383	2,007
72	2,099	2,301	1,868	2,011	2,216	1,782
71	1,961	2,138	1,748	1,868	2,094	1,617
70	1,826	1,974	1,638	1,766	2,006	1,499
69	1,697	1,817	1,540	1,688	1,938	1,410
68	1,574	1,674	1,445	1,613	1,868	1,330
67	1,463	1,551	1,351	1,531	1,784	1,250
66	1,364	1,452	1,255	1,435	1,680	1,161
65	1,278	1,382	1,154	1,327	1,562	1,066
64	1,206	1,339	1,052	1,219	1,442	973
63	1,143	1,310	953	1,118	1,329	886
62	1,085	1,285	861	1,029	1,231	809
61	1,028	1,253	781	955	1,151	743
60	968	1,203	714	893	1,084	687
59	906	1,138	659	841	1,027	640
58	841	1,059	615	793	974	597
57	778	975	577	746	920	558
56	718	892	545	699	864	519
55	664	814	516	650	804	480
54	615	743	490	601	744	442
53	570	679	464	552	685	403
52	526	618	437	505	629	365
51	482	560	406	460	577	329
50	437	503	371	420	529	295.8
49	391	448	334	385	486	266.2
48	347	396	296.7	353	448	240.5
47	307	349	263.5	325	414	218.7
46	272.6	308	235.8	300	384	200.2
45	244	272.8	214.7	278.3	356	184.3
44	221.8	243.8	200.3	257.8	331	170.1
43	204.5	219.6	190.2	238.5	307	156.9
42	190.1	199.2	181.9	220.2	284.2	144.3
41	177.1	181.7	173	203	262.9	132.2
40	164	166.5	161.7	187	242.8	120.7
39	149.7	153.1	146.8	172.1	224	110.2
38	135.6	141.5	130.4	158.6	206.8	100.8
37	123.1	132.1	115.1	146.5	191.2	92.5
36	112.9	124.8	102.4	135.6	176.9	85.4
35	105.6	119.7	93.2	125.7	163.9	79
34	101.3	116.7	87.9	116.3	151.5	73
33	99.2	115.2	85.6	107.4	139.8	67.4
32	98.3	114.1	85	98.8	128.8	61.9
31	97.4	112.5	84.9	90.7	118.5	56.7
30	95.3	109.1	84	83.3	109.2	51.8
29	90.9	103.1	81.1	76.6	101.1	47.4
28	85.2	95.6	76.8	71.1	94.5	43.5
27	79.3	88.1	72.3	66.8	89.6	40.4
26	74.5	81.9	68.5	63.9	86.6	38
25	71.7	78	66.4	62.3	85.6	36.1
24	71	76.7	66.2	62.1	86.5	34.8
23	73	78.2	68.4	63.4	89.8	33.9
22	76.9	81.7	72.4	65.7	94.8	33.3
21	81.9	86.3	77.8	68.5	100.8	32.7
20	87.2	90.9	83.5	70.4	105.7	32
19	91.1	93.9	88.3	70.2	106.6	30.9
18	92.8	94.5	91	66.4	100.8	29.2
17	91.4	92	90.8	59.1	88.8	27
16	86.6	86.2	87	49.4	72.4	24.4
15	78	77	79	39.7	56.2	21.7
14	66.5	65.4	67.8	31.2	42.4	19
13	54.3	53.3	55.5	24.9	32.4	16.8
12	44.1	43.2	45.1	20.6	25.7	15
11	37.7	36.8	38.7	17.8	21.5	13.8
10	34.4	33.5	35.3	16.2	19.2	13.1
9	36.2	35	37.5	15.5	18.1	12.8
8	44.9	42.8	47	15.5	17.9	13
7	56.8	53.6	60.1	16.2	18.6	13.8
6	67.8	63.8	72.1	17.6	19.8	15.2
5	74.1	69.7	78.7	19.6	21.7	17.3
4	71.7	67.9	75.7	22.1	24	20.1
3	61.4	58.9	63.9	25.3	26.7	23.8
2	70.1	68.9	71.4	29.2	29.8	28.5
1	172.9	175.4	170.2	33.9	33.4	34.3
0	1,530	1,613	1,443	476	533	415

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 Bangladesh, the most common age of death is 84, compared to 79 in Malaysia. The median age of death is 79.7 in Bangladesh and 79.8 in Malaysia, 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 Bangladesh and Malaysia more than their death rates.

Life expectancy in other countries

+ -

1x