Life Expectancy in Bangladesh vs Chile (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Chile

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Chile
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	103	102.7	103.1
99	101.2	100.9	101.3	102.1	101.9	102.2
98	100.3	99.9	100.4	101.4	101.1	101.4
97	99.4	99.1	99.6	100.6	100.4	100.7
96	98.6	98.2	98.8	99.8	99.6	99.9
95	97.8	97.4	98	99.1	98.8	99.2
94	97	96.6	97.2	98.4	98.1	98.5
93	96.3	95.9	96.5	97.6	97.4	97.8
92	95.5	95.1	95.8	97	96.7	97.1
91	94.8	94.4	95.1	96.3	96	96.5
90	94.1	93.6	94.4	95.6	95.3	95.8
89	93.4	92.9	93.8	95	94.7	95.2
88	92.8	92.2	93.1	94.4	94	94.6
87	92.1	91.6	92.5	93.8	93.4	94.1
86	91.5	90.9	91.9	93.2	92.8	93.5
85	90.9	90.3	91.3	92.7	92.3	93
84	90.3	89.6	90.8	92.2	91.7	92.6
83	89.7	89	90.2	91.7	91.2	92.1
82	89.2	88.5	89.7	91.3	90.7	91.7
81	88.6	87.9	89.2	90.8	90.2	91.3
80	88.1	87.4	88.7	90.4	89.8	90.9
79	87.6	86.8	88.3	90	89.3	90.5
78	87.1	86.3	87.8	89.6	88.9	90.1
77	86.7	85.8	87.4	89.2	88.5	89.8
76	86.2	85.4	87	88.8	88.1	89.5
75	85.8	84.9	86.6	88.5	87.7	89.1
74	85.4	84.5	86.2	88.1	87.3	88.8
73	85	84	85.9	87.8	86.9	88.6
72	84.6	83.6	85.5	87.5	86.6	88.3
71	84.2	83.2	85.2	87.2	86.3	88
70	83.9	82.9	84.9	87	86	87.8
69	83.6	82.5	84.6	86.7	85.7	87.6
68	83.3	82.2	84.3	86.5	85.4	87.4
67	83	81.9	84	86.3	85.2	87.2
66	82.7	81.6	83.8	86	85	87
65	82.4	81.3	83.5	85.9	84.7	86.9
64	82.2	81.1	83.3	85.7	84.5	86.7
63	81.9	80.8	83.1	85.5	84.3	86.5
62	81.6	80.5	82.9	85.3	84.1	86.4
61	81.4	80.2	82.7	85.2	83.9	86.3
60	81.2	79.9	82.5	85	83.8	86.1
59	80.9	79.6	82.3	84.8	83.6	86
58	80.7	79.4	82.2	84.7	83.4	85.9
57	80.5	79.1	82	84.6	83.3	85.8
56	80.3	78.9	81.8	84.4	83.1	85.7
55	80.1	78.7	81.7	84.3	83	85.6
54	80	78.5	81.5	84.2	82.8	85.5
53	79.8	78.3	81.4	84.1	82.7	85.4
52	79.7	78.1	81.3	84	82.6	85.3
51	79.5	78	81.1	83.9	82.5	85.2
50	79.4	77.8	81	83.8	82.4	85.1
49	79.2	77.7	80.9	83.7	82.3	85.1
48	79.1	77.6	80.8	83.6	82.2	85
47	79	77.4	80.7	83.6	82.1	85
46	78.9	77.3	80.6	83.5	82	84.9
45	78.8	77.3	80.5	83.4	81.9	84.9
44	78.8	77.2	80.5	83.4	81.8	84.8
43	78.7	77.1	80.4	83.3	81.8	84.8
42	78.6	77	80.3	83.2	81.7	84.7
41	78.5	77	80.2	83.2	81.6	84.7
40	78.5	76.9	80.2	83.1	81.6	84.6
39	78.4	76.8	80.1	83.1	81.5	84.6
38	78.4	76.8	80.1	83	81.5	84.6
37	78.3	76.7	80	83	81.4	84.5
36	78.3	76.7	80	83	81.4	84.5
35	78.2	76.6	79.9	82.9	81.3	84.5
34	78.2	76.6	79.9	82.9	81.3	84.5
33	78.1	76.5	79.8	82.8	81.2	84.4
32	78.1	76.5	79.8	82.8	81.2	84.4
31	78	76.4	79.8	82.8	81.1	84.4
30	78	76.4	79.7	82.7	81.1	84.4
29	77.9	76.3	79.7	82.7	81	84.3
28	77.9	76.3	79.6	82.7	81	84.3
27	77.8	76.2	79.6	82.6	80.9	84.3
26	77.8	76.2	79.6	82.6	80.9	84.3
25	77.8	76.1	79.5	82.6	80.8	84.3
24	77.7	76.1	79.5	82.5	80.8	84.3
23	77.7	76	79.4	82.5	80.7	84.2
22	77.6	76	79.4	82.5	80.7	84.2
21	77.6	75.9	79.3	82.4	80.6	84.2
20	77.5	75.9	79.3	82.4	80.6	84.2
19	77.5	75.8	79.2	82.4	80.6	84.2
18	77.4	75.8	79.2	82.4	80.5	84.1
17	77.4	75.7	79.1	82.3	80.5	84.1
16	77.3	75.7	79.1	82.3	80.5	84.1
15	77.3	75.6	79	82.3	80.5	84.1
14	77.2	75.6	79	82.3	80.4	84.1
13	77.2	75.6	78.9	82.3	80.4	84.1
12	77.2	75.5	78.9	82.3	80.4	84.1
11	77.1	75.5	78.9	82.3	80.4	84.1
10	77.1	75.5	78.9	82.2	80.4	84
9	77.1	75.5	78.8	82.2	80.4	84
8	77.1	75.4	78.8	82.2	80.4	84
7	77	75.4	78.8	82.2	80.4	84
6	77	75.3	78.7	82.2	80.4	84
5	76.9	75.3	78.6	82.2	80.4	84
4	76.9	75.2	78.6	82.2	80.4	84
3	76.8	75.2	78.5	82.2	80.3	84
2	76.8	75.2	78.5	82.2	80.3	84
1	76.6	75	78.3	82.1	80.3	83.9
0	75.5	73.8	77.2	81.7	79.9	83.5

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 82.7 in Chile, rising to 82.4 and 85.9 at 65, and to 88.1 and 90.4 at 80 — higher than the 75.5 and 81.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Chile

Male

Female

1x

Age	Survival probability
	Bangladesh			Chile
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	4.94%	3.63%	6.12%
99	1.37%	0.63%	2.15%	6.46%	4.82%	7.94%
98	2.06%	1.05%	3.16%	8.26%	6.26%	10.1%
97	2.99%	1.63%	4.44%	10.4%	7.96%	12.5%
96	4.16%	2.43%	6.03%	12.7%	9.93%	15.3%
95	5.6%	3.46%	7.92%	15.4%	12.2%	18.3%
94	7.32%	4.75%	10.1%	18.3%	14.6%	21.6%
93	9.32%	6.3%	12.6%	21.3%	17.4%	25.1%
92	11.6%	8.13%	15.3%	24.6%	20.3%	28.7%
91	14.1%	10.2%	18.3%	28.1%	23.4%	32.5%
90	16.8%	12.6%	21.4%	31.6%	26.7%	36.3%
89	19.8%	15.2%	24.7%	35.2%	30.1%	40.2%
88	22.9%	18%	28.1%	38.9%	33.5%	44%
87	26.1%	21%	31.6%	42.5%	37%	47.8%
86	29.4%	24.1%	35%	46.1%	40.5%	51.4%
85	32.7%	27.4%	38.5%	49.5%	43.9%	54.9%
84	36.1%	30.7%	41.9%	52.7%	47.2%	58.2%
83	39.4%	34%	45.2%	55.9%	50.3%	61.3%
82	42.7%	37.3%	48.5%	58.8%	53.4%	64.1%
81	45.9%	40.5%	51.7%	61.6%	56.3%	66.8%
80	49%	43.7%	54.7%	64.2%	59.1%	69.3%
79	52%	46.8%	57.6%	66.8%	61.8%	71.7%
78	54.9%	49.9%	60.3%	69.2%	64.4%	73.9%
77	57.7%	52.9%	62.9%	71.4%	66.8%	76%
76	60.4%	55.7%	65.3%	73.6%	69.2%	77.9%
75	62.9%	58.5%	67.6%	75.6%	71.4%	79.7%
74	65.2%	61.1%	69.8%	77.5%	73.5%	81.4%
73	67.5%	63.5%	71.8%	79.2%	75.5%	83%
72	69.6%	65.8%	73.6%	80.8%	77.3%	84.4%
71	71.5%	68%	75.4%	82.3%	79%	85.6%
70	73.4%	69.9%	77%	83.6%	80.5%	86.8%
69	75.1%	71.8%	78.6%	84.8%	81.9%	87.8%
68	76.6%	73.4%	80%	85.9%	83.2%	88.8%
67	78.1%	75%	81.4%	86.9%	84.3%	89.6%
66	79.5%	76.4%	82.6%	87.9%	85.4%	90.4%
65	80.7%	77.8%	83.8%	88.7%	86.3%	91.1%
64	81.9%	79.2%	84.8%	89.5%	87.3%	91.7%
63	83.1%	80.5%	85.8%	90.2%	88.1%	92.3%
62	84.2%	81.8%	86.6%	90.9%	88.9%	92.9%
61	85.2%	83%	87.4%	91.5%	89.6%	93.4%
60	86.2%	84.2%	88.1%	92.1%	90.3%	93.9%
59	87.1%	85.4%	88.8%	92.6%	91%	94.3%
58	87.9%	86.4%	89.4%	93.1%	91.6%	94.8%
57	88.7%	87.4%	90%	93.6%	92.1%	95.1%
56	89.4%	88.3%	90.5%	94.1%	92.7%	95.5%
55	90.1%	89.1%	91%	94.5%	93.1%	95.8%
54	90.7%	89.8%	91.5%	94.8%	93.6%	96.1%
53	91.3%	90.5%	92%	95.2%	94%	96.4%
52	91.8%	91.1%	92.4%	95.5%	94.4%	96.6%
51	92.3%	91.7%	92.8%	95.8%	94.7%	96.8%
50	92.7%	92.2%	93.2%	96%	95.1%	97%
49	93.1%	92.6%	93.5%	96.3%	95.4%	97.2%
48	93.4%	93%	93.8%	96.5%	95.6%	97.4%
47	93.8%	93.4%	94.1%	96.7%	95.9%	97.5%
46	94%	93.7%	94.3%	96.9%	96.1%	97.7%
45	94.3%	94%	94.5%	97%	96.3%	97.8%
44	94.5%	94.2%	94.7%	97.2%	96.5%	97.9%
43	94.7%	94.4%	94.9%	97.3%	96.7%	98%
42	94.9%	94.6%	95.1%	97.5%	96.8%	98.1%
41	95.1%	94.8%	95.3%	97.6%	97%	98.2%
40	95.2%	95%	95.5%	97.7%	97.1%	98.3%
39	95.4%	95.1%	95.6%	97.8%	97.3%	98.4%
38	95.5%	95.3%	95.7%	97.9%	97.4%	98.4%
37	95.6%	95.4%	95.8%	98%	97.5%	98.5%
36	95.7%	95.5%	95.9%	98.1%	97.6%	98.6%
35	95.9%	95.6%	96%	98.2%	97.7%	98.6%
34	96%	95.8%	96.1%	98.2%	97.8%	98.7%
33	96.1%	95.9%	96.2%	98.3%	97.9%	98.7%
32	96.2%	96%	96.3%	98.4%	98%	98.8%
31	96.3%	96.1%	96.4%	98.5%	98.1%	98.8%
30	96.3%	96.2%	96.5%	98.5%	98.2%	98.8%
29	96.4%	96.3%	96.5%	98.6%	98.3%	98.9%
28	96.5%	96.4%	96.6%	98.7%	98.4%	98.9%
27	96.6%	96.5%	96.7%	98.7%	98.5%	99%
26	96.7%	96.6%	96.8%	98.8%	98.6%	99%
25	96.7%	96.7%	96.8%	98.8%	98.7%	99%
24	96.8%	96.7%	96.9%	98.9%	98.7%	99%
23	96.9%	96.8%	97%	98.9%	98.8%	99.1%
22	97%	96.9%	97%	99%	98.9%	99.1%
21	97%	97%	97.1%	99%	99%	99.1%
20	97.1%	97.1%	97.2%	99.1%	99%	99.2%
19	97.2%	97.2%	97.3%	99.1%	99.1%	99.2%
18	97.3%	97.3%	97.4%	99.2%	99.2%	99.2%
17	97.4%	97.4%	97.5%	99.2%	99.2%	99.2%
16	97.5%	97.4%	97.6%	99.3%	99.2%	99.3%
15	97.6%	97.5%	97.6%	99.3%	99.3%	99.3%
14	97.6%	97.6%	97.7%	99.3%	99.3%	99.3%
13	97.7%	97.6%	97.8%	99.3%	99.3%	99.3%
12	97.7%	97.7%	97.8%	99.3%	99.3%	99.3%
11	97.8%	97.7%	97.8%	99.3%	99.3%	99.3%
10	97.8%	97.8%	97.9%	99.3%	99.3%	99.4%
9	97.9%	97.8%	97.9%	99.4%	99.3%	99.4%
8	97.9%	97.8%	98%	99.4%	99.4%	99.4%
7	98%	97.9%	98%	99.4%	99.4%	99.4%
6	98%	97.9%	98.1%	99.4%	99.4%	99.4%
5	98.1%	98%	98.2%	99.4%	99.4%	99.4%
4	98.2%	98.1%	98.3%	99.4%	99.4%	99.4%
3	98.2%	98.1%	98.3%	99.4%	99.4%	99.4%
2	98.3%	98.2%	98.4%	99.5%	99.4%	99.5%
1	98.5%	98.4%	98.6%	99.5%	99.5%	99.5%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 92.1% in Chile are expected to live past 60, 73.4% and 83.6% past 70, 49% and 64.2% past 80, and only 16.8% and 31.6% 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

Chile

Male

Female

1x

Age	Probability of dying
	Bangladesh			Chile
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	25%	26.2%	24.5%
99	36.9%	43.4%	35%	23.5%	24.7%	23%
98	33.8%	39.5%	31.9%	21.8%	23%	21.2%
97	30.9%	36%	29%	20.2%	21.4%	19.6%
96	28.2%	32.7%	26.3%	18.7%	19.8%	18%
95	25.7%	29.8%	23.8%	17.2%	18.4%	16.6%
94	23.5%	27.1%	21.6%	15.8%	17%	15.2%
93	21.4%	24.7%	19.6%	14.5%	15.6%	13.8%
92	19.5%	22.5%	17.9%	13.3%	14.4%	12.6%
91	17.8%	20.5%	16.2%	12.2%	13.3%	11.6%
90	16.3%	18.7%	14.7%	11.2%	12.3%	10.6%
89	14.8%	17.1%	13.3%	10.3%	11.3%	9.63%
88	13.5%	15.6%	12.1%	9.39%	10.3%	8.75%
87	12.3%	14.3%	10.9%	8.53%	9.43%	7.9%
86	11.2%	13%	9.89%	7.7%	8.56%	7.08%
85	10.2%	11.9%	8.97%	6.92%	7.74%	6.32%
84	9.3%	10.8%	8.14%	6.2%	6.98%	5.62%
83	8.45%	9.74%	7.4%	5.57%	6.3%	5.01%
82	7.68%	8.82%	6.72%	5.01%	5.7%	4.47%
81	6.98%	8.01%	6.1%	4.53%	5.19%	4.02%
80	6.36%	7.29%	5.53%	4.12%	4.74%	3.63%
79	5.8%	6.68%	5.02%	3.77%	4.35%	3.3%
78	5.29%	6.12%	4.54%	3.46%	4.01%	3%
77	4.82%	5.61%	4.11%	3.18%	3.69%	2.74%
76	4.39%	5.14%	3.73%	2.92%	3.41%	2.5%
75	3.99%	4.69%	3.37%	2.67%	3.13%	2.27%
74	3.64%	4.27%	3.06%	2.44%	2.87%	2.06%
73	3.32%	3.87%	2.78%	2.21%	2.61%	1.86%
72	3.02%	3.49%	2.54%	1.99%	2.36%	1.66%
71	2.74%	3.15%	2.32%	1.78%	2.11%	1.49%
70	2.49%	2.82%	2.13%	1.59%	1.89%	1.32%
69	2.26%	2.53%	1.96%	1.42%	1.69%	1.18%
68	2.05%	2.28%	1.81%	1.27%	1.51%	1.05%
67	1.87%	2.07%	1.66%	1.15%	1.36%	0.95%
66	1.72%	1.9%	1.52%	1.04%	1.24%	0.86%
65	1.58%	1.78%	1.38%	0.95%	1.13%	0.78%
64	1.47%	1.69%	1.24%	0.87%	1.04%	0.71%
63	1.38%	1.63%	1.11%	0.81%	0.97%	0.65%
62	1.29%	1.57%	0.99%	0.74%	0.89%	0.6%
61	1.21%	1.51%	0.89%	0.69%	0.83%	0.56%
60	1.12%	1.43%	0.81%	0.64%	0.77%	0.51%
59	1.04%	1.33%	0.74%	0.59%	0.71%	0.47%
58	0.96%	1.23%	0.69%	0.54%	0.66%	0.43%
57	0.88%	1.12%	0.64%	0.5%	0.61%	0.4%
56	0.8%	1.01%	0.6%	0.46%	0.56%	0.37%
55	0.74%	0.91%	0.57%	0.43%	0.52%	0.33%
54	0.68%	0.83%	0.54%	0.39%	0.48%	0.31%
53	0.62%	0.75%	0.5%	0.36%	0.44%	0.28%
52	0.57%	0.68%	0.47%	0.33%	0.41%	0.25%
51	0.52%	0.61%	0.44%	0.3%	0.37%	0.23%
50	0.47%	0.55%	0.4%	0.27%	0.33%	0.21%
49	0.42%	0.48%	0.36%	0.25%	0.3%	0.19%
48	0.37%	0.43%	0.32%	0.22%	0.27%	0.17%
47	0.33%	0.37%	0.28%	0.2%	0.25%	0.16%
46	0.29%	0.33%	0.25%	0.19%	0.23%	0.14%
45	0.26%	0.29%	0.23%	0.17%	0.21%	0.13%
44	0.23%	0.26%	0.21%	0.16%	0.2%	0.12%
43	0.22%	0.23%	0.2%	0.15%	0.18%	0.11%
42	0.2%	0.21%	0.19%	0.14%	0.17%	0.1%
41	0.19%	0.19%	0.18%	0.13%	0.16%	0.09%
40	0.17%	0.18%	0.17%	0.12%	0.15%	0.08%
39	0.16%	0.16%	0.15%	0.11%	0.14%	0.08%
38	0.14%	0.15%	0.14%	0.1%	0.13%	0.07%
37	0.13%	0.14%	0.12%	0.09%	0.12%	0.06%
36	0.12%	0.13%	0.11%	0.09%	0.12%	0.06%
35	0.11%	0.13%	0.1%	0.08%	0.11%	0.05%
34	0.11%	0.12%	0.09%	0.08%	0.11%	0.05%
33	0.1%	0.12%	0.09%	0.08%	0.1%	0.05%
32	0.1%	0.12%	0.09%	0.07%	0.1%	0.04%
31	0.1%	0.12%	0.09%	0.07%	0.1%	0.04%
30	0.1%	0.11%	0.09%	0.07%	0.1%	0.04%
29	0.09%	0.11%	0.08%	0.07%	0.1%	0.04%
28	0.09%	0.1%	0.08%	0.06%	0.09%	0.04%
27	0.08%	0.09%	0.07%	0.06%	0.09%	0.03%
26	0.08%	0.08%	0.07%	0.06%	0.09%	0.03%
25	0.07%	0.08%	0.07%	0.06%	0.08%	0.03%
24	0.07%	0.08%	0.07%	0.05%	0.08%	0.03%
23	0.08%	0.08%	0.07%	0.05%	0.08%	0.03%
22	0.08%	0.08%	0.07%	0.05%	0.07%	0.03%
21	0.08%	0.09%	0.08%	0.05%	0.07%	0.03%
20	0.09%	0.09%	0.09%	0.05%	0.07%	0.03%
19	0.09%	0.1%	0.09%	0.05%	0.07%	0.03%
18	0.1%	0.1%	0.09%	0.04%	0.06%	0.03%
17	0.09%	0.09%	0.09%	0.04%	0.05%	0.02%
16	0.09%	0.09%	0.09%	0.03%	0.04%	0.02%
15	0.08%	0.08%	0.08%	0.02%	0.03%	0.02%
14	0.07%	0.07%	0.07%	0.02%	0.02%	0.02%
13	0.06%	0.05%	0.06%	0.02%	0.02%	0.02%
12	0.05%	0.04%	0.05%	0.01%	0.01%	0.01%
11	0.04%	0.04%	0.04%	0.01%	0.01%	0.01%
10	0.04%	0.03%	0.04%	0.01%	0.009%	0.01%
9	0.04%	0.04%	0.04%	0.01%	0.009%	0.01%
8	0.05%	0.04%	0.05%	0.01%	0.009%	0.01%
7	0.06%	0.05%	0.06%	0.01%	0.01%	0.01%
6	0.07%	0.07%	0.07%	0.01%	0.01%	0.01%
5	0.08%	0.07%	0.08%	0.01%	0.01%	0.01%
4	0.07%	0.07%	0.08%	0.02%	0.02%	0.02%
3	0.06%	0.06%	0.07%	0.02%	0.02%	0.02%
2	0.07%	0.07%	0.07%	0.02%	0.02%	0.02%
1	0.18%	0.18%	0.17%	0.03%	0.03%	0.03%
0	1.53%	1.61%	1.44%	0.52%	0.53%	0.51%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.52% in Chile, 0.1% vs 0.07% at age 30, 1.12% vs 0.64% at 60, and 6.36% vs 4.12% at 80.

Death rate by age in Bangladesh vs Chile

Chart Table

Bangladesh

Male

Female

Chile

Male

Female

1x

Age	Death rate
	Bangladesh			Chile
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	1,240	922	1,530
99	504	274.2	753	1,518	1,189	1,823
98	698	414	1,006	1,803	1,440	2,142
97	924	588	1,288	2,091	1,703	2,459
96	1,175	796	1,587	2,375	1,970	2,761
95	1,440	1,030	1,887	2,642	2,232	3,037
94	1,718	1,287	2,186	2,884	2,484	3,276
93	1,995	1,557	2,471	3,095	2,715	3,472
92	2,264	1,828	2,735	3,278	2,926	3,631
91	2,514	2,095	2,969	3,431	3,113	3,754
90	2,738	2,353	3,155	3,548	3,269	3,835
89	2,932	2,596	3,297	3,624	3,389	3,870
88	3,093	2,815	3,394	3,652	3,465	3,852
87	3,217	3,003	3,447	3,624	3,490	3,774
86	3,301	3,148	3,465	3,544	3,464	3,642
85	3,347	3,247	3,451	3,421	3,394	3,469
84	3,355	3,299	3,412	3,272	3,293	3,272
83	3,331	3,310	3,348	3,110	3,172	3,067
82	3,279	3,289	3,261	2,949	3,045	2,869
81	3,205	3,246	3,153	2,793	2,919	2,685
80	3,114	3,189	3,027	2,648	2,799	2,517
79	3,015	3,128	2,889	2,517	2,687	2,363
78	2,903	3,054	2,742	2,393	2,578	2,219
77	2,781	2,966	2,589	2,270	2,470	2,081
76	2,649	2,862	2,434	2,147	2,357	1,946
75	2,510	2,740	2,281	2,020	2,237	1,810
74	2,374	2,605	2,137	1,889	2,110	1,675
73	2,238	2,458	1,998	1,752	1,971	1,539
72	2,099	2,301	1,868	1,610	1,823	1,404
71	1,961	2,138	1,748	1,469	1,670	1,273
70	1,826	1,974	1,638	1,332	1,520	1,148
69	1,697	1,817	1,540	1,206	1,381	1,036
68	1,574	1,674	1,445	1,094	1,256	935
67	1,463	1,551	1,351	997	1,148	848
66	1,364	1,452	1,255	913	1,056	773
65	1,278	1,382	1,154	842	978	709
64	1,206	1,339	1,052	781	911	654
63	1,143	1,310	953	727	850	605
62	1,085	1,285	861	677	795	560
61	1,028	1,253	781	630	742	519
60	968	1,203	714	586	692	481
59	906	1,138	659	545	645	445
58	841	1,059	615	507	601	411
57	778	975	577	470	560	379
56	718	892	545	436	522	349
55	664	814	516	404	486	320
54	615	743	490	373	451	293.2
53	570	679	464	343	417	267.7
52	526	618	437	314	382	243.8
51	482	560	406	286.1	349	221.6
50	437	503	371	260.1	317	201.4
49	391	448	334	236.4	288.3	183.1
48	347	396	296.7	215.3	262.5	166.8
47	307	349	263.5	197	240.4	152.4
46	272.6	308	235.8	181.2	221.5	139.6
45	244	272.8	214.7	167.4	205.5	128.2
44	221.8	243.8	200.3	155.1	191.4	117.8
43	204.5	219.6	190.2	144	178.8	108.1
42	190.1	199.2	181.9	133.6	167.2	99
41	177.1	181.7	173	123.9	156.3	90.5
40	164	166.5	161.7	114.8	146.2	82.6
39	149.7	153.1	146.8	106.5	136.7	75.3
38	135.6	141.5	130.4	98.9	128.1	68.8
37	123.1	132.1	115.1	92.3	120.5	63.1
36	112.9	124.8	102.4	86.5	113.9	58.2
35	105.6	119.7	93.2	81.6	108.5	53.9
34	101.3	116.7	87.9	77.6	104.2	50.2
33	99.2	115.2	85.6	74.3	100.9	46.9
32	98.3	114.1	85	71.7	98.7	44
31	97.4	112.5	84.9	69.6	97	41.4
30	95.3	109.1	84	67.8	95.7	39.1
29	90.9	103.1	81.1	66	94	37.1
28	85.2	95.6	76.8	63.9	91.6	35.4
27	79.3	88.1	72.3	61.5	88.4	33.9
26	74.5	81.9	68.5	58.9	84.5	32.7
25	71.7	78	66.4	56.4	80.4	31.7
24	71	76.7	66.2	54.2	76.8	31
23	73	78.2	68.4	52.7	74.3	30.4
22	76.9	81.7	72.4	51.7	72.7	30
21	81.9	86.3	77.8	51	71.5	29.6
20	87.2	90.9	83.5	49.7	69.6	29
19	91.1	93.9	88.3	47.1	65.4	28
18	92.8	94.5	91	42.6	57.9	26.6
17	91.4	92	90.8	36.6	48.1	24.6
16	86.6	86.2	87	29.9	37.3	22.2
15	78	77	79	23.8	27.8	19.7
14	66.5	65.4	67.8	18.8	20.4	17.2
13	54.3	53.3	55.5	15.2	15.3	15
12	44.1	43.2	45.1	12.6	12	13.2
11	37.7	36.8	38.7	11	10.1	11.9
10	34.4	33.5	35.3	10	9.16	11
9	36.2	35	37.5	9.67	8.9	10.5
8	44.9	42.8	47	9.77	9.18	10.4
7	56.8	53.6	60.1	10.4	9.96	10.8
6	67.8	63.8	72.1	11.5	11.2	11.7
5	74.1	69.7	78.7	13.1	13.1	13.1
4	71.7	67.9	75.7	15.4	15.5	15.3
3	61.4	58.9	63.9	18.4	18.7	18.1
2	70.1	68.9	71.4	22.3	22.7	21.8
1	172.9	175.4	170.2	27.1	27.7	26.4
0	1,530	1,613	1,443	519	531	507

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 88 in Chile. The median age of death is 79.7 in Bangladesh and 84.8 in Chile, 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 Chile more than their death rates.

Life expectancy in other countries

+ -

1x