Life Expectancy in Bangladesh vs Maldives (1950-2025)

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 Bangladesh vs Maldives: 77.8 years vs 82.2 at 30, 82.3 vs 83.9 at 65, 88.1 vs 88.2 at 80 — significantly higher than the 75.2 vs 81.5 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Bangladesh and Maldives.

Table

Current age, years	Total life expectancy, years
	Bangladesh			Maldives
	Average	Male	Female	Average	Male	Female
0	75.2	73.6	76.9	81.5	80.2	83.2
1	76.4	74.8	78.1	81.9	80.6	83.5
2	76.6	75	78.3	81.9	80.6	83.5
3	76.6	75	78.3	81.9	80.6	83.5
4	76.7	75.1	78.4	81.9	80.7	83.5
5	76.7	75.1	78.4	81.9	80.7	83.5
6	76.8	75.2	78.5	81.9	80.7	83.6
7	76.8	75.2	78.6	81.9	80.7	83.6
8	76.9	75.2	78.6	82	80.7	83.6
9	76.9	75.3	78.6	82	80.7	83.6
10	76.9	75.3	78.7	82	80.7	83.6
11	76.9	75.3	78.7	82	80.7	83.6
12	77	75.3	78.7	82	80.7	83.6
13	77	75.4	78.7	82	80.7	83.6
14	77	75.4	78.8	82	80.7	83.6
15	77.1	75.4	78.8	82	80.7	83.6
16	77.1	75.5	78.9	82	80.8	83.6
17	77.2	75.5	78.9	82	80.8	83.7
18	77.2	75.6	79	82.1	80.8	83.7
19	77.3	75.7	79.1	82.1	80.8	83.7
20	77.4	75.7	79.1	82.1	80.9	83.7
21	77.4	75.8	79.2	82.1	80.9	83.7
22	77.5	75.8	79.2	82.1	80.9	83.7
23	77.5	75.9	79.3	82.1	80.9	83.7
24	77.5	75.9	79.3	82.2	80.9	83.7
25	77.6	76	79.3	82.2	80.9	83.7
26	77.6	76	79.4	82.2	81	83.8
27	77.7	76	79.4	82.2	81	83.8
28	77.7	76.1	79.4	82.2	81	83.8
29	77.8	76.1	79.5	82.2	81	83.8
30	77.8	76.2	79.5	82.2	81	83.8
31	77.8	76.2	79.6	82.3	81	83.8
32	77.9	76.3	79.6	82.3	81.1	83.8
33	77.9	76.3	79.7	82.3	81.1	83.8
34	78	76.4	79.7	82.3	81.1	83.8
35	78	76.4	79.7	82.3	81.1	83.9
36	78.1	76.5	79.8	82.3	81.1	83.9
37	78.1	76.5	79.8	82.4	81.1	83.9
38	78.2	76.6	79.9	82.4	81.2	83.9
39	78.2	76.7	79.9	82.4	81.2	83.9
40	78.3	76.7	80	82.4	81.2	83.9
41	78.4	76.8	80.1	82.4	81.2	84
42	78.4	76.9	80.2	82.4	81.2	84
43	78.5	76.9	80.2	82.5	81.2	84
44	78.6	77	80.3	82.5	81.3	84
45	78.7	77.1	80.4	82.5	81.3	84
46	78.8	77.2	80.5	82.5	81.3	84.1
47	78.9	77.3	80.5	82.6	81.4	84.1
48	79	77.4	80.6	82.6	81.4	84.1
49	79.1	77.5	80.7	82.7	81.5	84.2
50	79.2	77.7	80.9	82.7	81.5	84.2
51	79.3	77.8	81	82.7	81.6	84.2
52	79.5	78	81.1	82.8	81.6	84.2
53	79.7	78.2	81.3	82.8	81.6	84.3
54	79.8	78.4	81.4	82.9	81.7	84.3
55	80	78.6	81.5	82.9	81.8	84.4
56	80.2	78.8	81.7	83	81.8	84.4
57	80.4	79	81.9	83.1	81.9	84.5
58	80.6	79.3	82	83.1	82	84.6
59	80.8	79.5	82.2	83.2	82.1	84.6
60	81	79.8	82.4	83.3	82.2	84.7
61	81.3	80.1	82.5	83.4	82.3	84.8
62	81.5	80.4	82.7	83.5	82.4	84.9
63	81.8	80.7	82.9	83.7	82.6	85
64	82	80.9	83.2	83.8	82.7	85.1
65	82.3	81.2	83.4	83.9	82.9	85.2
66	82.6	81.5	83.7	84.1	83.1	85.4
67	82.9	81.8	83.9	84.3	83.3	85.5
68	83.2	82.1	84.2	84.5	83.5	85.7
69	83.5	82.5	84.5	84.7	83.7	85.9
70	83.8	82.8	84.8	84.9	84	86
71	84.2	83.2	85.1	85.1	84.2	86.2
72	84.5	83.5	85.5	85.4	84.5	86.5
73	84.9	84	85.8	85.7	84.8	86.7
74	85.3	84.4	86.2	86	85.2	86.9
75	85.7	84.8	86.5	86.3	85.5	87.2
76	86.1	85.3	86.9	86.6	85.9	87.5
77	86.6	85.8	87.3	87	86.3	87.8
78	87.1	86.3	87.8	87.4	86.7	88.2
79	87.5	86.8	88.2	87.8	87.2	88.5
80	88.1	87.3	88.7	88.2	87.6	88.9
81	88.6	87.9	89.2	88.7	88.1	89.4
82	89.1	88.4	89.7	89.2	88.6	89.8
83	89.7	89	90.2	89.7	89.2	90.3
84	90.2	89.6	90.7	90.2	89.7	90.8
85	90.8	90.2	91.3	90.8	90.3	91.3
86	91.5	90.9	91.9	91.4	90.9	91.9
87	92.1	91.5	92.5	92	91.6	92.5
88	92.7	92.2	93.1	92.7	92.3	93.1
89	93.4	92.9	93.7	93.4	93	93.7
90	94.1	93.6	94.4	94.1	93.7	94.4
91	94.8	94.3	95.1	94.8	94.5	95.1
92	95.5	95.1	95.8	95.6	95.2	95.8
93	96.3	95.8	96.5	96.3	96	96.5
94	97	96.6	97.2	97.1	96.8	97.3
95	97.8	97.4	98	97.9	97.6	98
96	98.6	98.2	98.7	98.7	98.5	98.8
97	99.4	99.1	99.6	99.5	99.3	99.6
98	100.3	99.9	100.4	100.4	100.1	100.5
99	101.2	100.9	101.3	101.2	101	101.3
100	102.2	101.9	102.3	102.1	101.9	102.2

Odds of living to age in Bangladesh vs Maldives

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.8% in Bangladesh and 95.6% in Maldives are expected to survive till at least 60 years old, 72.8% and 87.6% will live to 70 years or older, 48.3% and 64.2% to 80+ years, and 16.4% and 22.3% 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
	Bangladesh			Maldives
	Average	Male	Female	Average	Male	Female
1	98.4%	98.3%	98.5%	99.6%	99.5%	99.6%
2	98.2%	98.1%	98.3%	99.5%	99.5%	99.6%
3	98.1%	98.1%	98.2%	99.5%	99.4%	99.6%
4	98.1%	98%	98.2%	99.5%	99.4%	99.6%
5	98%	97.9%	98.1%	99.5%	99.4%	99.5%
6	97.9%	97.8%	98%	99.5%	99.4%	99.5%
7	97.9%	97.8%	97.9%	99.5%	99.4%	99.5%
8	97.8%	97.7%	97.9%	99.4%	99.4%	99.5%
9	97.7%	97.7%	97.8%	99.4%	99.4%	99.5%
10	97.7%	97.6%	97.8%	99.4%	99.4%	99.5%
11	97.7%	97.6%	97.7%	99.4%	99.4%	99.5%
12	97.6%	97.6%	97.7%	99.4%	99.4%	99.5%
13	97.6%	97.5%	97.6%	99.4%	99.3%	99.5%
14	97.5%	97.5%	97.6%	99.4%	99.3%	99.4%
15	97.5%	97.4%	97.5%	99.4%	99.3%	99.4%
16	97.4%	97.3%	97.4%	99.3%	99.3%	99.4%
17	97.3%	97.2%	97.4%	99.3%	99.2%	99.4%
18	97.2%	97.1%	97.3%	99.3%	99.2%	99.4%
19	97.1%	97%	97.2%	99.3%	99.2%	99.4%
20	97%	97%	97.1%	99.2%	99.1%	99.3%
21	96.9%	96.9%	97%	99.2%	99.1%	99.3%
22	96.8%	96.8%	96.9%	99.2%	99.1%	99.3%
23	96.8%	96.7%	96.8%	99.2%	99%	99.3%
24	96.7%	96.6%	96.8%	99.1%	99%	99.3%
25	96.6%	96.5%	96.7%	99.1%	99%	99.3%
26	96.5%	96.5%	96.6%	99.1%	98.9%	99.2%
27	96.5%	96.4%	96.6%	99.1%	98.9%	99.2%
28	96.4%	96.3%	96.5%	99%	98.9%	99.2%
29	96.3%	96.2%	96.4%	99%	98.9%	99.2%
30	96.2%	96.1%	96.3%	99%	98.8%	99.2%
31	96.1%	96%	96.2%	98.9%	98.8%	99.1%
32	96%	95.9%	96.2%	98.9%	98.8%	99.1%
33	95.9%	95.7%	96.1%	98.9%	98.7%	99.1%
34	95.8%	95.6%	96%	98.9%	98.7%	99.1%
35	95.7%	95.5%	95.9%	98.8%	98.7%	99%
36	95.6%	95.4%	95.8%	98.8%	98.6%	99%
37	95.5%	95.3%	95.7%	98.8%	98.6%	99%
38	95.4%	95.1%	95.6%	98.7%	98.6%	99%
39	95.2%	95%	95.4%	98.7%	98.5%	98.9%
40	95.1%	94.8%	95.3%	98.7%	98.5%	98.9%
41	94.9%	94.6%	95.1%	98.6%	98.4%	98.8%
42	94.7%	94.5%	95%	98.6%	98.4%	98.8%
43	94.5%	94.3%	94.8%	98.5%	98.3%	98.7%
44	94.3%	94%	94.6%	98.4%	98.3%	98.7%
45	94.1%	93.8%	94.4%	98.4%	98.2%	98.6%
46	93.8%	93.5%	94.2%	98.3%	98.1%	98.5%
47	93.6%	93.2%	93.9%	98.2%	98%	98.5%
48	93.3%	92.8%	93.6%	98.1%	97.9%	98.4%
49	92.9%	92.4%	93.3%	98%	97.7%	98.3%
50	92.5%	92%	93%	97.9%	97.6%	98.2%
51	92.1%	91.5%	92.6%	97.7%	97.4%	98.2%
52	91.6%	90.9%	92.2%	97.6%	97.3%	98.1%
53	91%	90.3%	91.8%	97.4%	97.1%	97.9%
54	90.5%	89.6%	91.3%	97.3%	96.9%	97.8%
55	89.8%	88.8%	90.8%	97.1%	96.7%	97.6%
56	89.1%	88%	90.3%	96.9%	96.5%	97.4%
57	88.4%	87.1%	89.7%	96.6%	96.2%	97.2%
58	87.6%	86.1%	89.1%	96.3%	95.9%	97%
59	86.8%	85%	88.5%	96%	95.5%	96.7%
60	85.8%	83.9%	87.8%	95.6%	95.1%	96.4%
61	84.9%	82.6%	87.1%	95.2%	94.6%	96.1%
62	83.8%	81.4%	86.3%	94.7%	94%	95.7%
63	82.7%	80.1%	85.4%	94.1%	93.4%	95.2%
64	81.5%	78.7%	84.5%	93.5%	92.6%	94.7%
65	80.3%	77.4%	83.4%	92.8%	91.8%	94.2%
66	79%	76%	82.2%	92%	90.8%	93.5%
67	77.6%	74.5%	80.9%	91.1%	89.7%	92.8%
68	76.1%	73%	79.6%	90%	88.5%	92%
69	74.6%	71.3%	78.1%	88.9%	87.1%	91.1%
70	72.8%	69.4%	76.5%	87.6%	85.6%	90.1%
71	71%	67.4%	74.9%	86.2%	83.9%	88.9%
72	69%	65.3%	73.1%	84.6%	82.1%	87.7%
73	66.9%	63%	71.2%	82.8%	80%	86.2%
74	64.7%	60.5%	69.2%	80.8%	77.8%	84.6%
75	62.3%	57.9%	67%	78.7%	75.3%	82.7%
76	59.7%	55.1%	64.7%	76.3%	72.6%	80.7%
77	57.1%	52.2%	62.3%	73.7%	69.6%	78.4%
78	54.3%	49.3%	59.7%	70.8%	66.5%	75.9%
79	51.4%	46.2%	56.9%	67.6%	63%	73.1%
80	48.3%	43.1%	54%	64.2%	59.4%	70.1%
81	45.2%	39.9%	51%	60.6%	55.6%	66.8%
82	42%	36.7%	47.8%	56.8%	51.6%	63.2%
83	38.8%	33.4%	44.6%	52.7%	47.4%	59.3%
84	35.5%	30.1%	41.2%	48.5%	43.1%	55.2%
85	32.1%	26.8%	37.8%	44.1%	38.7%	50.8%
86	28.8%	23.6%	34.4%	39.6%	34.3%	46.3%
87	25.5%	20.5%	31%	35.1%	29.9%	41.8%
88	22.4%	17.6%	27.6%	30.7%	25.6%	37.2%
89	19.3%	14.8%	24.2%	26.4%	21.6%	32.6%
90	16.4%	12.2%	21%	22.3%	17.8%	28.2%
91	13.7%	9.93%	17.8%	18.6%	14.4%	24%
92	11.3%	7.88%	14.9%	15.1%	11.4%	20%
93	9.05%	6.1%	12.2%	12.1%	8.87%	16.4%
94	7.1%	4.59%	9.82%	9.49%	6.75%	13.1%
95	5.42%	3.34%	7.68%	7.26%	5%	10.3%
96	4.02%	2.34%	5.84%	5.42%	3.61%	7.86%
97	2.88%	1.57%	4.3%	3.93%	2.52%	5.84%
98	1.99%	1%	3.05%	2.77%	1.71%	4.21%
99	1.31%	0.6%	2.07%	1.9%	1.12%	2.95%
100	0.83%	0.34%	1.34%	1.26%	0.71%	1.99%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.61% in the birth year in Bangladesh and 0.43% in Maldives, 0.1% vs 0.03% at age 30, 1.15% vs 0.45% at 60, and 6.44% vs 5.64% at 80.

Below is a graph displaying the probabilities of dying in Bangladesh compared to Maldives at any given age.

Table

Age	Probability of dying
	Bangladesh			Maldives
	Average	Male	Female	Average	Male	Female
0	1.61%	1.69%	1.52%	0.43%	0.49%	0.37%
1	0.18%	0.19%	0.18%	0.03%	0.04%	0.02%
2	0.07%	0.07%	0.08%	0.02%	0.03%	0.02%
3	0.07%	0.06%	0.07%	0.02%	0.02%	0.02%
4	0.08%	0.07%	0.08%	0.01%	0.01%	0.02%
5	0.08%	0.07%	0.08%	0.01%	0.009%	0.02%
6	0.07%	0.07%	0.08%	0.01%	0.007%	0.01%
7	0.06%	0.06%	0.06%	0.009%	0.006%	0.01%
8	0.05%	0.05%	0.05%	0.009%	0.007%	0.01%
9	0.04%	0.04%	0.04%	0.009%	0.008%	0.01%
10	0.04%	0.04%	0.04%	0.009%	0.01%	0.009%
11	0.04%	0.04%	0.04%	0.01%	0.01%	0.009%
12	0.05%	0.05%	0.05%	0.01%	0.02%	0.009%
13	0.06%	0.06%	0.06%	0.02%	0.02%	0.01%
14	0.07%	0.07%	0.07%	0.02%	0.03%	0.01%
15	0.08%	0.08%	0.08%	0.02%	0.03%	0.01%
16	0.09%	0.09%	0.09%	0.03%	0.04%	0.02%
17	0.1%	0.1%	0.1%	0.03%	0.04%	0.02%
18	0.1%	0.1%	0.1%	0.03%	0.04%	0.02%
19	0.1%	0.1%	0.09%	0.03%	0.04%	0.02%
20	0.09%	0.1%	0.09%	0.03%	0.03%	0.02%
21	0.09%	0.09%	0.08%	0.02%	0.03%	0.02%
22	0.08%	0.09%	0.08%	0.02%	0.03%	0.02%
23	0.08%	0.08%	0.07%	0.02%	0.03%	0.02%
24	0.07%	0.08%	0.07%	0.02%	0.03%	0.02%
25	0.08%	0.08%	0.07%	0.02%	0.03%	0.02%
26	0.08%	0.09%	0.07%	0.03%	0.03%	0.02%
27	0.08%	0.09%	0.08%	0.03%	0.03%	0.02%
28	0.09%	0.1%	0.08%	0.03%	0.03%	0.02%
29	0.1%	0.11%	0.09%	0.03%	0.03%	0.02%
30	0.1%	0.12%	0.09%	0.03%	0.03%	0.02%
31	0.1%	0.12%	0.09%	0.03%	0.03%	0.02%
32	0.1%	0.12%	0.09%	0.03%	0.03%	0.02%
33	0.11%	0.12%	0.09%	0.03%	0.03%	0.02%
34	0.11%	0.12%	0.09%	0.03%	0.03%	0.02%
35	0.11%	0.13%	0.1%	0.03%	0.03%	0.02%
36	0.12%	0.13%	0.11%	0.03%	0.04%	0.03%
37	0.13%	0.14%	0.12%	0.03%	0.04%	0.03%
38	0.14%	0.15%	0.14%	0.04%	0.04%	0.04%
39	0.16%	0.16%	0.16%	0.04%	0.04%	0.04%
40	0.18%	0.18%	0.17%	0.04%	0.04%	0.05%
41	0.19%	0.2%	0.19%	0.05%	0.05%	0.05%
42	0.2%	0.21%	0.2%	0.06%	0.06%	0.06%
43	0.22%	0.24%	0.2%	0.06%	0.07%	0.06%
44	0.24%	0.26%	0.22%	0.07%	0.08%	0.06%
45	0.26%	0.3%	0.23%	0.09%	0.09%	0.07%
46	0.3%	0.33%	0.26%	0.1%	0.11%	0.07%
47	0.33%	0.38%	0.29%	0.11%	0.13%	0.07%
48	0.38%	0.43%	0.32%	0.12%	0.14%	0.08%
49	0.43%	0.49%	0.36%	0.12%	0.15%	0.08%
50	0.48%	0.56%	0.41%	0.13%	0.15%	0.09%
51	0.53%	0.62%	0.45%	0.14%	0.16%	0.1%
52	0.59%	0.69%	0.48%	0.15%	0.17%	0.12%
53	0.64%	0.77%	0.52%	0.17%	0.19%	0.14%
54	0.69%	0.84%	0.55%	0.2%	0.22%	0.17%
55	0.75%	0.93%	0.58%	0.23%	0.26%	0.19%
56	0.82%	1.03%	0.62%	0.26%	0.3%	0.22%
57	0.9%	1.14%	0.66%	0.3%	0.34%	0.25%
58	0.98%	1.25%	0.7%	0.34%	0.39%	0.28%
59	1.06%	1.36%	0.76%	0.39%	0.45%	0.32%
60	1.15%	1.46%	0.83%	0.45%	0.52%	0.36%
61	1.23%	1.54%	0.91%	0.51%	0.6%	0.41%
62	1.32%	1.6%	1.02%	0.58%	0.69%	0.46%
63	1.41%	1.66%	1.14%	0.67%	0.79%	0.53%
64	1.5%	1.72%	1.27%	0.76%	0.91%	0.6%
65	1.62%	1.81%	1.41%	0.88%	1.05%	0.68%
66	1.75%	1.93%	1.55%	1%	1.21%	0.77%
67	1.91%	2.1%	1.7%	1.13%	1.37%	0.87%
68	2.09%	2.32%	1.84%	1.28%	1.54%	0.98%
69	2.3%	2.57%	2%	1.44%	1.74%	1.11%
70	2.53%	2.87%	2.17%	1.63%	1.96%	1.26%
71	2.78%	3.2%	2.36%	1.85%	2.21%	1.45%
72	3.06%	3.55%	2.59%	2.1%	2.49%	1.66%
73	3.36%	3.93%	2.84%	2.37%	2.82%	1.9%
74	3.69%	4.33%	3.12%	2.68%	3.19%	2.17%
75	4.06%	4.76%	3.43%	3.04%	3.6%	2.46%
76	4.46%	5.21%	3.79%	3.45%	4.07%	2.81%
77	4.9%	5.69%	4.18%	3.91%	4.58%	3.2%
78	5.37%	6.2%	4.61%	4.43%	5.14%	3.65%
79	5.88%	6.76%	5.09%	5.01%	5.75%	4.16%
80	6.44%	7.39%	5.61%	5.64%	6.43%	4.74%
81	7.07%	8.11%	6.18%	6.36%	7.19%	5.4%
82	7.77%	8.92%	6.81%	7.16%	8.07%	6.14%
83	8.55%	9.84%	7.49%	8.05%	9.05%	6.96%
84	9.4%	10.9%	8.23%	9.04%	10.2%	7.86%
85	10.3%	12%	9.06%	10.1%	11.4%	8.83%
86	11.3%	13.2%	9.99%	11.3%	12.8%	9.89%
87	12.4%	14.4%	11%	12.6%	14.3%	11%
88	13.6%	15.8%	12.2%	14%	15.9%	12.3%
89	15%	17.2%	13.4%	15.4%	17.4%	13.6%
90	16.4%	18.8%	14.8%	16.9%	19.1%	15%
91	18%	20.6%	16.4%	18.4%	20.8%	16.5%
92	19.7%	22.6%	18%	20%	22.3%	18.1%
93	21.5%	24.8%	19.8%	21.6%	24%	19.8%
94	23.6%	27.3%	21.8%	23.5%	25.8%	21.7%
95	25.8%	29.9%	24%	25.4%	27.9%	23.6%
96	28.3%	32.9%	26.4%	27.4%	30.1%	25.7%
97	31%	36.2%	29.1%	29.5%	32.3%	27.9%
98	33.9%	39.7%	32%	31.5%	34.5%	30.1%
99	36.9%	43.5%	35.2%	33.6%	36.7%	32.4%
100	39.5%	46.6%	37.7%	35.7%	38.9%	34.5%

Death rate by age in Bangladesh compared to Maldives

In Bangladesh, the most common age of death is 84, compared to 86 in Maldives. The median age of death is 79.5 in Bangladesh and 83.6 in Maldives — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bangladesh			Maldives
	Total	Male	Female	Total	Male	Female
0	1,609	1,692	1,521	429	488	367
1	181.1	183.5	178.7	32.4	39.8	24.7
2	73.2	71.8	74.6	23.9	25.6	22.1
3	63.9	61.3	66.7	18.4	17	20
4	74.6	70.5	79	14.9	11.8	18.3
5	77.1	72.3	82.1	12.3	8.53	16.4
6	70.5	66.1	75.1	10.4	6.68	14.5
7	58.9	55.6	62.5	9.14	6.11	12.6
8	46.5	44.2	48.8	8.6	6.59	10.9
9	37.4	36.1	38.8	8.68	7.92	9.55
10	35.5	34.5	36.6	9.44	10	8.8
11	38.9	37.9	40	11	13	8.68
12	45.5	44.4	46.6	13.5	17.1	9.22
13	56	54.8	57.3	16.5	21.6	10.4
14	68.5	67.2	69.9	20	26.4	12.3
15	80.2	79.1	81.4	23.6	31.1	14.8
16	88.9	88.4	89.5	26.9	35.1	17.4
17	93.8	94.2	93.3	29.2	37.9	19.2
18	95	96.6	93.4	29.4	38	19.7
19	93.2	95.9	90.4	28	36	18.9
20	89	92.7	85.4	25.7	32.8	17.4
21	83.6	87.9	79.5	23.7	29.9	16.1
22	78.3	83.2	74	22.5	27.8	15.5
23	74.3	79.5	69.8	22.3	26.8	15.8
24	72.2	77.9	67.5	23.1	26.8	17.1
25	72.8	79.3	67.6	24.5	27.4	19.2
26	75.8	83.3	69.8	26.1	28.4	21.6
27	80.7	89.6	73.6	27.6	29.5	23.3
28	86.7	97.2	78.2	28.4	30.3	23.8
29	92.6	104.9	82.5	28.6	30.8	23.2
30	97	111	85.4	28.4	31	22
31	99.1	114.3	86.3	28.2	31.1	21
32	100	116	86.4	28.2	31.2	20.5
33	101	117.1	87	28.5	31.7	20.9
34	103	118.6	89.3	29.3	32.4	22.1
35	107.4	121.6	94.7	30.6	33.4	24.2
36	114.8	126.8	104.1	32.3	34.5	27.2
37	125.1	134.2	117	34.3	35.8	31
38	137.9	143.8	132.7	36.8	37.4	35.3
39	152.3	155.6	149.4	39.7	39.5	40
40	166.8	169.3	164.6	43.5	42.8	45
41	180.3	184.7	176.2	48.5	47.6	50.1
42	193.6	202.5	185.2	54.8	54.6	55.1
43	208.4	223.3	193.7	62.8	64.4	59.5
44	226.1	247.9	203.9	72.7	77.3	63.2
45	248.7	277.4	218.6	84.1	92.9	66.5
46	277.6	313	240.2	96.2	109.8	69.6
47	313	355	268.4	106.9	125.1	73
48	353	403	302	115.1	136.4	77.3
49	398	455	340	120.5	142.7	83.1
50	445	512	379	125.6	147	91.3
51	491	570	414	133.2	152.8	102.9
52	536	629	445	145.9	164.1	118.9
53	581	691	474	166.6	184.8	140.4
54	627	756	500	195.5	216.3	166.3
55	677	828	526	224.2	249.6	189.6
56	733	907	555	254.4	285.6	213
57	794	992	588	289.6	328	240.8
58	858	1,077	626	330	376	272.6
59	924	1,157	672	375	431	308
60	987	1,223	727	426	493	347
61	1,047	1,272	795	485	564	393
62	1,104	1,304	877	553	647	444
63	1,162	1,328	970	627	738	500
64	1,226	1,356	1,070	713	842	565
65	1,298	1,399	1,173	814	964	639
66	1,383	1,469	1,276	921	1,095	719
67	1,483	1,568	1,373	1,030	1,226	803
68	1,594	1,692	1,467	1,150	1,364	899
69	1,715	1,835	1,562	1,282	1,514	1,010
70	1,842	1,992	1,660	1,429	1,675	1,139
71	1,976	2,156	1,770	1,594	1,854	1,289
72	2,113	2,318	1,890	1,772	2,047	1,455
73	2,250	2,474	2,019	1,965	2,256	1,636
74	2,389	2,621	2,157	2,171	2,478	1,831
75	2,529	2,753	2,300	2,392	2,710	2,039
76	2,666	2,872	2,452	2,632	2,951	2,267
77	2,795	2,973	2,604	2,882	3,188	2,510
78	2,913	3,056	2,754	3,137	3,414	2,769
79	3,019	3,125	2,898	3,385	3,625	3,041
80	3,113	3,182	3,032	3,626	3,818	3,321
81	3,198	3,234	3,154	3,856	4,000	3,607
82	3,267	3,271	3,257	4,065	4,162	3,879
83	3,313	3,287	3,338	4,244	4,295	4,127
84	3,333	3,270	3,396	4,382	4,392	4,334
85	3,318	3,213	3,430	4,468	4,430	4,489
86	3,267	3,109	3,438	4,490	4,397	4,584
87	3,178	2,960	3,415	4,432	4,277	4,608
88	3,051	2,770	3,357	4,289	4,068	4,554
89	2,887	2,549	3,255	4,065	3,763	4,424
90	2,691	2,306	3,109	3,770	3,397	4,220
91	2,466	2,048	2,920	3,425	2,991	3,949
92	2,215	1,783	2,685	3,029	2,551	3,622
93	1,948	1,515	2,420	2,621	2,127	3,251
94	1,675	1,250	2,138	2,226	1,744	2,849
95	1,401	998	1,841	1,842	1,396	2,429
96	1,140	769	1,545	1,487	1,087	2,019
97	894	567	1,251	1,160	814	1,627
98	674	397	975	875	588	1,268
99	485	262.8	728	639	410	954
100	229.5	46.3	429	294.4	117.4	549

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 Bangladesh and Maldives 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
• Bangladesh vs Maldives: Statistical Insights

By topic vs comparisons:

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