Life Expectancy in Bangladesh vs Cayman Islands (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Cayman Islands

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Cayman Islands
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.5	102.1	102.6
99	101.2	100.9	101.3	101.6	101.3	101.7
98	100.3	99.9	100.4	100.8	100.4	100.9
97	99.4	99.1	99.6	99.9	99.6	100
96	98.6	98.2	98.8	99.2	98.8	99.3
95	97.8	97.4	98	98.4	98	98.5
94	97	96.6	97.2	97.6	97.3	97.8
93	96.3	95.9	96.5	96.9	96.5	97.1
92	95.5	95.1	95.8	96.2	95.8	96.5
91	94.8	94.4	95.1	95.6	95.1	95.8
90	94.1	93.6	94.4	95	94.4	95.3
89	93.4	92.9	93.8	94.4	93.8	94.7
88	92.8	92.2	93.1	93.8	93.2	94.2
87	92.1	91.6	92.5	93.2	92.6	93.7
86	91.5	90.9	91.9	92.7	92	93.2
85	90.9	90.3	91.3	92.2	91.4	92.8
84	90.3	89.6	90.8	91.7	90.9	92.3
83	89.7	89	90.2	91.2	90.3	92
82	89.2	88.5	89.7	90.8	89.8	91.6
81	88.6	87.9	89.2	90.4	89.3	91.2
80	88.1	87.4	88.7	90	88.9	90.9
79	87.6	86.8	88.3	89.6	88.4	90.6
78	87.1	86.3	87.8	89.3	88	90.4
77	86.7	85.8	87.4	88.9	87.7	90.1
76	86.2	85.4	87	88.6	87.3	89.9
75	85.8	84.9	86.6	88.3	86.9	89.7
74	85.4	84.5	86.2	88	86.6	89.4
73	85	84	85.9	87.8	86.3	89.2
72	84.6	83.6	85.5	87.5	86	89
71	84.2	83.2	85.2	87.3	85.7	88.8
70	83.9	82.9	84.9	87	85.4	88.6
69	83.6	82.5	84.6	86.8	85.1	88.4
68	83.3	82.2	84.3	86.6	84.8	88.3
67	83	81.9	84	86.4	84.6	88.1
66	82.7	81.6	83.8	86.1	84.3	87.9
65	82.4	81.3	83.5	85.9	84.1	87.7
64	82.2	81.1	83.3	85.7	83.9	87.6
63	81.9	80.8	83.1	85.5	83.7	87.4
62	81.6	80.5	82.9	85.3	83.5	87.2
61	81.4	80.2	82.7	85.2	83.3	87.1
60	81.2	79.9	82.5	85	83.1	86.9
59	80.9	79.6	82.3	84.8	82.9	86.8
58	80.7	79.4	82.2	84.6	82.7	86.6
57	80.5	79.1	82	84.5	82.5	86.5
56	80.3	78.9	81.8	84.3	82.4	86.3
55	80.1	78.7	81.7	84.2	82.2	86.2
54	80	78.5	81.5	84	82	86.1
53	79.8	78.3	81.4	83.9	81.9	85.9
52	79.7	78.1	81.3	83.8	81.7	85.8
51	79.5	78	81.1	83.6	81.6	85.7
50	79.4	77.8	81	83.5	81.4	85.6
49	79.2	77.7	80.9	83.4	81.3	85.5
48	79.1	77.6	80.8	83.3	81.2	85.4
47	79	77.4	80.7	83.2	81	85.3
46	78.9	77.3	80.6	83	80.9	85.2
45	78.8	77.3	80.5	82.9	80.8	85.1
44	78.8	77.2	80.5	82.9	80.7	85.1
43	78.7	77.1	80.4	82.8	80.6	85
42	78.6	77	80.3	82.7	80.5	84.9
41	78.5	77	80.2	82.6	80.4	84.8
40	78.5	76.9	80.2	82.5	80.3	84.8
39	78.4	76.8	80.1	82.4	80.2	84.7
38	78.4	76.8	80.1	82.4	80.1	84.6
37	78.3	76.7	80	82.3	80.1	84.6
36	78.3	76.7	80	82.2	80	84.5
35	78.2	76.6	79.9	82.2	79.9	84.5
34	78.2	76.6	79.9	82.1	79.8	84.4
33	78.1	76.5	79.8	82	79.8	84.4
32	78.1	76.5	79.8	82	79.7	84.3
31	78	76.4	79.8	81.9	79.6	84.3
30	78	76.4	79.7	81.8	79.6	84.2
29	77.9	76.3	79.7	81.8	79.5	84.2
28	77.9	76.3	79.6	81.7	79.4	84.1
27	77.8	76.2	79.6	81.7	79.4	84.1
26	77.8	76.2	79.6	81.6	79.3	84
25	77.8	76.1	79.5	81.6	79.2	84
24	77.7	76.1	79.5	81.5	79.2	83.9
23	77.7	76	79.4	81.5	79.1	83.9
22	77.6	76	79.4	81.4	79.1	83.8
21	77.6	75.9	79.3	81.4	79	83.8
20	77.5	75.9	79.3	81.3	79	83.7
19	77.5	75.8	79.2	81.2	78.9	83.7
18	77.4	75.8	79.2	81.2	78.9	83.6
17	77.4	75.7	79.1	81.2	78.8	83.6
16	77.3	75.7	79.1	81.1	78.8	83.5
15	77.3	75.6	79	81.1	78.8	83.5
14	77.2	75.6	79	81.1	78.8	83.5
13	77.2	75.6	78.9	81.1	78.8	83.5
12	77.2	75.5	78.9	81.1	78.8	83.5
11	77.1	75.5	78.9	81.1	78.8	83.5
10	77.1	75.5	78.9	81.1	78.8	83.4
9	77.1	75.5	78.8	81.1	78.8	83.4
8	77.1	75.4	78.8	81	78.8	83.4
7	77	75.4	78.8	81	78.8	83.4
6	77	75.3	78.7	81	78.8	83.4
5	76.9	75.3	78.6	81	78.8	83.4
4	76.9	75.2	78.6	81	78.8	83.4
3	76.8	75.2	78.5	81	78.7	83.4
2	76.8	75.2	78.5	81	78.7	83.4
1	76.6	75	78.3	81	78.7	83.4
0	75.5	73.8	77.2	80.9	78.6	83.3

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 Bangladesh can expect to live to 78 years compared to 81.8 in the Cayman Islands, rising to 82.4 and 85.9 at 65, and to 88.1 and 90 at 80 — higher than the 75.5 and 80.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Cayman Islands

Male

Female

1x

Age	Survival probability
	Bangladesh			Cayman Islands
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	3.13%	1.66%	4.61%
99	1.37%	0.63%	2.15%	4.43%	2.45%	6.45%
98	2.06%	1.05%	3.16%	6.08%	3.49%	8.74%
97	2.99%	1.63%	4.44%	8.09%	4.83%	11.5%
96	4.16%	2.43%	6.03%	10.5%	6.49%	14.7%
95	5.6%	3.46%	7.92%	13.3%	8.5%	18.3%
94	7.32%	4.75%	10.1%	16.4%	10.9%	22.3%
93	9.32%	6.3%	12.6%	19.8%	13.6%	26.5%
92	11.6%	8.13%	15.3%	23.5%	16.5%	30.8%
91	14.1%	10.2%	18.3%	27.3%	19.7%	35.3%
90	16.8%	12.6%	21.4%	31.1%	23.1%	39.6%
89	19.8%	15.2%	24.7%	34.9%	26.6%	43.9%
88	22.9%	18%	28.1%	38.7%	30.1%	47.9%
87	26.1%	21%	31.6%	42.4%	33.7%	51.8%
86	29.4%	24.1%	35%	46%	37.3%	55.4%
85	32.7%	27.4%	38.5%	49.6%	40.9%	58.8%
84	36.1%	30.7%	41.9%	52.9%	44.5%	62%
83	39.4%	34%	45.2%	56.2%	47.9%	64.9%
82	42.7%	37.3%	48.5%	59.2%	51.3%	67.5%
81	45.9%	40.5%	51.7%	62%	54.5%	69.8%
80	49%	43.7%	54.7%	64.6%	57.4%	71.9%
79	52%	46.8%	57.6%	67%	60.2%	73.8%
78	54.9%	49.9%	60.3%	69.1%	62.8%	75.5%
77	57.7%	52.9%	62.9%	71.1%	65.1%	77%
76	60.4%	55.7%	65.3%	72.9%	67.3%	78.3%
75	62.9%	58.5%	67.6%	74.5%	69.4%	79.6%
74	65.2%	61.1%	69.8%	76.1%	71.4%	80.7%
73	67.5%	63.5%	71.8%	77.5%	73.2%	81.8%
72	69.6%	65.8%	73.6%	78.9%	74.9%	82.8%
71	71.5%	68%	75.4%	80.1%	76.5%	83.8%
70	73.4%	69.9%	77%	81.3%	78%	84.7%
69	75.1%	71.8%	78.6%	82.4%	79.3%	85.5%
68	76.6%	73.4%	80%	83.4%	80.6%	86.3%
67	78.1%	75%	81.4%	84.3%	81.8%	87.1%
66	79.5%	76.4%	82.6%	85.3%	82.9%	87.8%
65	80.7%	77.8%	83.8%	86.1%	83.9%	88.5%
64	81.9%	79.2%	84.8%	86.9%	84.9%	89.1%
63	83.1%	80.5%	85.8%	87.7%	85.8%	89.7%
62	84.2%	81.8%	86.6%	88.4%	86.7%	90.3%
61	85.2%	83%	87.4%	89.1%	87.5%	90.9%
60	86.2%	84.2%	88.1%	89.8%	88.2%	91.4%
59	87.1%	85.4%	88.8%	90.4%	88.9%	91.9%
58	87.9%	86.4%	89.4%	91%	89.6%	92.4%
57	88.7%	87.4%	90%	91.5%	90.2%	92.9%
56	89.4%	88.3%	90.5%	92%	90.8%	93.3%
55	90.1%	89.1%	91%	92.5%	91.4%	93.7%
54	90.7%	89.8%	91.5%	93%	91.9%	94.1%
53	91.3%	90.5%	92%	93.4%	92.4%	94.5%
52	91.8%	91.1%	92.4%	93.8%	92.9%	94.8%
51	92.3%	91.7%	92.8%	94.2%	93.3%	95.1%
50	92.7%	92.2%	93.2%	94.6%	93.7%	95.4%
49	93.1%	92.6%	93.5%	94.9%	94.1%	95.7%
48	93.4%	93%	93.8%	95.2%	94.5%	95.9%
47	93.8%	93.4%	94.1%	95.5%	94.8%	96.2%
46	94%	93.7%	94.3%	95.8%	95.2%	96.4%
45	94.3%	94%	94.5%	96%	95.5%	96.6%
44	94.5%	94.2%	94.7%	96.3%	95.8%	96.8%
43	94.7%	94.4%	94.9%	96.5%	96%	97%
42	94.9%	94.6%	95.1%	96.7%	96.3%	97.1%
41	95.1%	94.8%	95.3%	96.9%	96.5%	97.3%
40	95.2%	95%	95.5%	97.1%	96.7%	97.4%
39	95.4%	95.1%	95.6%	97.3%	96.9%	97.6%
38	95.5%	95.3%	95.7%	97.4%	97.1%	97.7%
37	95.6%	95.4%	95.8%	97.6%	97.3%	97.8%
36	95.7%	95.5%	95.9%	97.7%	97.5%	98%
35	95.9%	95.6%	96%	97.9%	97.7%	98.1%
34	96%	95.8%	96.1%	98%	97.8%	98.2%
33	96.1%	95.9%	96.2%	98.1%	98%	98.3%
32	96.2%	96%	96.3%	98.2%	98.1%	98.4%
31	96.3%	96.1%	96.4%	98.4%	98.3%	98.5%
30	96.3%	96.2%	96.5%	98.5%	98.4%	98.6%
29	96.4%	96.3%	96.5%	98.6%	98.5%	98.6%
28	96.5%	96.4%	96.6%	98.7%	98.7%	98.7%
27	96.6%	96.5%	96.7%	98.8%	98.8%	98.8%
26	96.7%	96.6%	96.8%	98.9%	98.9%	98.9%
25	96.7%	96.7%	96.8%	99%	99%	99%
24	96.8%	96.7%	96.9%	99.1%	99.1%	99%
23	96.9%	96.8%	97%	99.2%	99.2%	99.1%
22	97%	96.9%	97%	99.3%	99.3%	99.2%
21	97%	97%	97.1%	99.3%	99.4%	99.3%
20	97.1%	97.1%	97.2%	99.4%	99.5%	99.4%
19	97.2%	97.2%	97.3%	99.5%	99.6%	99.4%
18	97.3%	97.3%	97.4%	99.6%	99.6%	99.5%
17	97.4%	97.4%	97.5%	99.6%	99.7%	99.6%
16	97.5%	97.4%	97.6%	99.7%	99.7%	99.6%
15	97.6%	97.5%	97.6%	99.7%	99.7%	99.7%
14	97.6%	97.6%	97.7%	99.7%	99.8%	99.7%
13	97.7%	97.6%	97.8%	99.8%	99.8%	99.7%
12	97.7%	97.7%	97.8%	99.8%	99.8%	99.8%
11	97.8%	97.7%	97.8%	99.8%	99.8%	99.8%
10	97.8%	97.8%	97.9%	99.8%	99.8%	99.8%
9	97.9%	97.8%	97.9%	99.8%	99.8%	99.8%
8	97.9%	97.8%	98%	99.8%	99.8%	99.8%
7	98%	97.9%	98%	99.8%	99.8%	99.8%
6	98%	97.9%	98.1%	99.8%	99.8%	99.9%
5	98.1%	98%	98.2%	99.8%	99.8%	99.9%
4	98.2%	98.1%	98.3%	99.9%	99.8%	99.9%
3	98.2%	98.1%	98.3%	99.9%	99.8%	99.9%
2	98.3%	98.2%	98.4%	99.9%	99.9%	99.9%
1	98.5%	98.4%	98.6%	99.9%	99.9%	99.9%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 89.8% in the Cayman Islands are expected to live past 60, 73.4% and 81.3% past 70, 49% and 64.6% past 80, and only 16.8% and 31.1% 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

Cayman Islands

Male

Female

1x

Age	Probability of dying
	Bangladesh			Cayman Islands
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	31.3%	34.1%	30.7%
99	36.9%	43.4%	35%	29.4%	32%	28.6%
98	33.8%	39.5%	31.9%	27.1%	29.8%	26.2%
97	30.9%	36%	29%	24.8%	27.7%	23.9%
96	28.2%	32.7%	26.3%	22.8%	25.7%	21.8%
95	25.7%	29.8%	23.8%	21%	23.7%	19.7%
94	23.5%	27.1%	21.6%	19.1%	21.8%	17.8%
93	21.4%	24.7%	19.6%	17.3%	19.9%	15.9%
92	19.5%	22.5%	17.9%	15.6%	18%	14.2%
91	17.8%	20.5%	16.2%	13.8%	16.2%	12.5%
90	16.3%	18.7%	14.7%	12.3%	14.6%	11%
89	14.8%	17.1%	13.3%	11%	13.1%	9.67%
88	13.5%	15.6%	12.1%	9.78%	11.8%	8.48%
87	12.3%	14.3%	10.9%	8.72%	10.6%	7.45%
86	11.2%	13%	9.89%	7.89%	9.64%	6.55%
85	10.2%	11.9%	8.97%	7.11%	8.78%	5.77%
84	9.3%	10.8%	8.14%	6.39%	8.01%	5.08%
83	8.45%	9.74%	7.4%	5.76%	7.26%	4.45%
82	7.68%	8.82%	6.72%	5.14%	6.54%	3.88%
81	6.98%	8.01%	6.1%	4.55%	5.83%	3.37%
80	6.36%	7.29%	5.53%	3.99%	5.17%	2.92%
79	5.8%	6.68%	5.02%	3.49%	4.58%	2.54%
78	5.29%	6.12%	4.54%	3.1%	4.07%	2.22%
77	4.82%	5.61%	4.11%	2.77%	3.63%	1.95%
76	4.39%	5.14%	3.73%	2.48%	3.28%	1.74%
75	3.99%	4.69%	3.37%	2.24%	2.98%	1.57%
74	3.64%	4.27%	3.06%	2.03%	2.73%	1.43%
73	3.32%	3.87%	2.78%	1.85%	2.5%	1.31%
72	3.02%	3.49%	2.54%	1.7%	2.28%	1.21%
71	2.74%	3.15%	2.32%	1.57%	2.08%	1.13%
70	2.49%	2.82%	2.13%	1.43%	1.89%	1.05%
69	2.26%	2.53%	1.96%	1.32%	1.72%	0.98%
68	2.05%	2.28%	1.81%	1.22%	1.57%	0.92%
67	1.87%	2.07%	1.66%	1.14%	1.44%	0.87%
66	1.72%	1.9%	1.52%	1.07%	1.33%	0.82%
65	1.58%	1.78%	1.38%	1%	1.24%	0.77%
64	1.47%	1.69%	1.24%	0.94%	1.15%	0.73%
63	1.38%	1.63%	1.11%	0.89%	1.08%	0.69%
62	1.29%	1.57%	0.99%	0.83%	1%	0.66%
61	1.21%	1.51%	0.89%	0.78%	0.92%	0.62%
60	1.12%	1.43%	0.81%	0.73%	0.85%	0.59%
59	1.04%	1.33%	0.74%	0.68%	0.79%	0.56%
58	0.96%	1.23%	0.69%	0.63%	0.73%	0.53%
57	0.88%	1.12%	0.64%	0.59%	0.69%	0.5%
56	0.8%	1.01%	0.6%	0.56%	0.65%	0.47%
55	0.74%	0.91%	0.57%	0.53%	0.61%	0.44%
54	0.68%	0.83%	0.54%	0.49%	0.58%	0.41%
53	0.62%	0.75%	0.5%	0.46%	0.55%	0.38%
52	0.57%	0.68%	0.47%	0.44%	0.52%	0.35%
51	0.52%	0.61%	0.44%	0.41%	0.48%	0.32%
50	0.47%	0.55%	0.4%	0.38%	0.45%	0.3%
49	0.42%	0.48%	0.36%	0.35%	0.42%	0.28%
48	0.37%	0.43%	0.32%	0.33%	0.39%	0.26%
47	0.33%	0.37%	0.28%	0.3%	0.36%	0.24%
46	0.29%	0.33%	0.25%	0.28%	0.34%	0.23%
45	0.26%	0.29%	0.23%	0.27%	0.32%	0.21%
44	0.23%	0.26%	0.21%	0.25%	0.3%	0.2%
43	0.22%	0.23%	0.2%	0.24%	0.28%	0.19%
42	0.2%	0.21%	0.19%	0.22%	0.26%	0.18%
41	0.19%	0.19%	0.18%	0.21%	0.25%	0.16%
40	0.17%	0.18%	0.17%	0.19%	0.23%	0.15%
39	0.16%	0.16%	0.15%	0.18%	0.21%	0.14%
38	0.14%	0.15%	0.14%	0.17%	0.2%	0.14%
37	0.13%	0.14%	0.12%	0.16%	0.19%	0.13%
36	0.12%	0.13%	0.11%	0.15%	0.18%	0.12%
35	0.11%	0.13%	0.1%	0.14%	0.17%	0.11%
34	0.11%	0.12%	0.09%	0.13%	0.16%	0.11%
33	0.1%	0.12%	0.09%	0.13%	0.15%	0.1%
32	0.1%	0.12%	0.09%	0.12%	0.15%	0.1%
31	0.1%	0.12%	0.09%	0.12%	0.14%	0.09%
30	0.1%	0.11%	0.09%	0.12%	0.14%	0.09%
29	0.09%	0.11%	0.08%	0.11%	0.13%	0.09%
28	0.09%	0.1%	0.08%	0.11%	0.13%	0.08%
27	0.08%	0.09%	0.07%	0.1%	0.12%	0.08%
26	0.08%	0.08%	0.07%	0.1%	0.12%	0.08%
25	0.07%	0.08%	0.07%	0.1%	0.11%	0.08%
24	0.07%	0.08%	0.07%	0.09%	0.11%	0.08%
23	0.08%	0.08%	0.07%	0.09%	0.11%	0.08%
22	0.08%	0.08%	0.07%	0.09%	0.1%	0.08%
21	0.08%	0.09%	0.08%	0.09%	0.1%	0.08%
20	0.09%	0.09%	0.09%	0.09%	0.09%	0.09%
19	0.09%	0.1%	0.09%	0.08%	0.08%	0.09%
18	0.1%	0.1%	0.09%	0.07%	0.06%	0.08%
17	0.09%	0.09%	0.09%	0.06%	0.05%	0.07%
16	0.09%	0.09%	0.09%	0.04%	0.03%	0.06%
15	0.08%	0.08%	0.08%	0.03%	0.02%	0.04%
14	0.07%	0.07%	0.07%	0.02%	0.02%	0.03%
13	0.06%	0.05%	0.06%	0.02%	0.01%	0.02%
12	0.05%	0.04%	0.05%	0.01%	0.009%	0.02%
11	0.04%	0.04%	0.04%	0.01%	0.007%	0.02%
10	0.04%	0.03%	0.04%	0.01%	0.007%	0.02%
9	0.04%	0.04%	0.04%	0.01%	0.007%	0.01%
8	0.05%	0.04%	0.05%	0.01%	0.007%	0.01%
7	0.06%	0.05%	0.06%	0.01%	0.007%	0.01%
6	0.07%	0.07%	0.07%	0.01%	0.008%	0.01%
5	0.08%	0.07%	0.08%	0.01%	0.008%	0.01%
4	0.07%	0.07%	0.08%	0.004%	0.004%	0.005%
3	0.06%	0.06%	0.07%	0.005%	0.005%	0.005%
2	0.07%	0.07%	0.07%	0.01%	0.01%	0.01%
1	0.18%	0.18%	0.17%	0.02%	0.02%	0.02%
0	1.53%	1.61%	1.44%	0.11%	0.12%	0.09%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.11% in the Cayman Islands, 0.1% vs 0.12% at age 30, 1.12% vs 0.73% at 60, and 6.36% vs 3.99% at 80.

Death rate by age in Bangladesh vs Cayman Islands

Chart Table

Bangladesh

Male

Female

Cayman Islands

Male

Female

1x

Age	Death rate
	Bangladesh			Cayman Islands
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	912	444	1,405
99	504	274.2	753	1,302	784	1,845
98	698	414	1,006	1,645	1,040	2,288
97	924	588	1,288	2,009	1,337	2,746
96	1,175	796	1,587	2,393	1,665	3,197
95	1,440	1,030	1,887	2,786	2,013	3,610
94	1,718	1,287	2,186	3,141	2,363	3,960
93	1,995	1,557	2,471	3,434	2,693	4,219
92	2,264	1,828	2,735	3,655	2,980	4,373
91	2,514	2,095	2,969	3,763	3,207	4,418
90	2,738	2,353	3,155	3,817	3,370	4,368
89	2,932	2,596	3,297	3,840	3,478	4,242
88	3,093	2,815	3,394	3,787	3,542	4,065
87	3,217	3,003	3,447	3,698	3,580	3,858
86	3,301	3,148	3,465	3,632	3,597	3,632
85	3,347	3,247	3,451	3,525	3,593	3,394
84	3,355	3,299	3,412	3,382	3,560	3,146
83	3,331	3,310	3,348	3,238	3,482	2,886
82	3,279	3,289	3,261	3,041	3,353	2,619
81	3,205	3,246	3,153	2,823	3,178	2,355
80	3,114	3,189	3,027	2,580	2,971	2,103
79	3,015	3,128	2,889	2,336	2,757	1,874
78	2,903	3,054	2,742	2,144	2,551	1,673
77	2,781	2,966	2,589	1,965	2,367	1,504
76	2,649	2,862	2,434	1,806	2,209	1,364
75	2,510	2,740	2,281	1,667	2,070	1,249
74	2,374	2,605	2,137	1,544	1,947	1,154
73	2,238	2,458	1,998	1,435	1,829	1,074
72	2,099	2,301	1,868	1,343	1,710	1,006
71	1,961	2,138	1,748	1,254	1,591	945
70	1,826	1,974	1,638	1,164	1,473	891
69	1,697	1,817	1,540	1,087	1,363	841
68	1,574	1,674	1,445	1,018	1,264	796
67	1,463	1,551	1,351	961	1,177	754
66	1,364	1,452	1,255	908	1,103	716
65	1,278	1,382	1,154	860	1,038	681
64	1,206	1,339	1,052	820	980	649
63	1,143	1,310	953	778	923	620
62	1,085	1,285	861	735	866	592
61	1,028	1,253	781	693	809	567
60	968	1,203	714	652	753	542
59	906	1,138	659	612	702	517
58	841	1,059	615	575	656	492
57	778	975	577	542	618	465
56	718	892	545	513	586	438
55	664	814	516	486	558	410
54	615	743	490	460	533	382
53	570	679	464	434	508	356
52	526	618	437	409	481	331
51	482	560	406	383	452	308
50	437	503	371	358	422	287.4
49	391	448	334	333	393	268.4
48	347	396	296.7	310	366	251.1
47	307	349	263.5	289.9	343	235.4
46	272.6	308	235.8	272.2	322	220.8
45	244	272.8	214.7	256.4	304	207.3
44	221.8	243.8	200.3	241.6	286.8	194.6
43	204.5	219.6	190.2	227.4	270.5	182.6
42	190.1	199.2	181.9	213.5	254.1	171.2
41	177.1	181.7	173	199.7	237.6	160.5
40	164	166.5	161.7	186.5	221.5	150.3
39	149.7	153.1	146.8	174.2	206.2	140.9
38	135.6	141.5	130.4	163.1	192.6	132.2
37	123.1	132.1	115.1	153.3	180.9	124.4
36	112.9	124.8	102.4	144.7	171.2	117.3
35	105.6	119.7	93.2	137.5	163.4	111.1
34	101.3	116.7	87.9	131.2	156.9	105.6
33	99.2	115.2	85.6	126	151.4	100.9
32	98.3	114.1	85	121.5	146.6	96.8
31	97.4	112.5	84.9	117.5	142.1	93.1
30	95.3	109.1	84	113.8	137.6	89.7
29	90.9	103.1	81.1	110	132.9	86.5
28	85.2	95.6	76.8	106.2	128	83.3
27	79.3	88.1	72.3	102.2	123	80.1
26	74.5	81.9	68.5	98.1	117.9	77.4
25	71.7	78	66.4	94.5	113.1	75.5
24	71	76.7	66.2	91.8	108.7	74.8
23	73	78.2	68.4	90.2	104.8	75.9
22	76.9	81.7	72.4	89.5	100.7	78.6
21	81.9	86.3	77.8	88.9	95.4	82.4
20	87.2	90.9	83.5	86.5	87.5	85.4
19	91.1	93.9	88.3	80.6	76	85.3
18	92.8	94.5	91	70.5	61.6	79.8
17	91.4	92	90.8	57.2	46.3	68.7
16	86.6	86.2	87	43.6	32.8	55
15	78	77	79	31.9	22.5	41.7
14	66.5	65.4	67.8	23.2	15.5	31.1
13	54.3	53.3	55.5	17.5	11.2	23.9
12	44.1	43.2	45.1	14	8.69	19.3
11	37.7	36.8	38.7	12	7.33	16.6
10	34.4	33.5	35.3	10.9	6.71	15.2
9	36.2	35	37.5	10.5	6.58	14.4
8	44.9	42.8	47	10.3	6.78	13.9
7	56.8	53.6	60.1	10.3	7.2	13.3
6	67.8	63.8	72.1	10.1	7.77	12.5
5	74.1	69.7	78.7	9.9	8.41	11.4
4	71.7	67.9	75.7	4.4	3.87	4.95
3	61.4	58.9	63.9	4.86	4.97	4.74
2	70.1	68.9	71.4	11.3	12	10.7
1	172.9	175.4	170.2	23.8	24.8	22.9
0	1,530	1,613	1,443	109.6	124.7	93.9

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 89 in the Cayman Islands. The median age of death is 79.7 in Bangladesh and 84.9 in the Cayman Islands, 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 the Cayman Islands more than their death rates.

Life expectancy in other countries

+ -

1x