Life Expectancy in Bangladesh vs Italy (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Italy

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Italy
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.1	101.9	102.1
99	101.2	100.9	101.3	101.2	101	101.3
98	100.3	99.9	100.4	100.4	100.2	100.5
97	99.4	99.1	99.6	99.6	99.3	99.7
96	98.6	98.2	98.8	98.8	98.5	98.9
95	97.8	97.4	98	98	97.7	98.2
94	97	96.6	97.2	97.3	97	97.4
93	96.3	95.9	96.5	96.6	96.2	96.8
92	95.5	95.1	95.8	95.9	95.5	96.1
91	94.8	94.4	95.1	95.2	94.8	95.5
90	94.1	93.6	94.4	94.6	94.1	94.9
89	93.4	92.9	93.8	94	93.4	94.3
88	92.8	92.2	93.1	93.4	92.8	93.7
87	92.1	91.6	92.5	92.9	92.2	93.3
86	91.5	90.9	91.9	92.4	91.7	92.8
85	90.9	90.3	91.3	91.9	91.2	92.4
84	90.3	89.6	90.8	91.4	90.7	92
83	89.7	89	90.2	91	90.2	91.6
82	89.2	88.5	89.7	90.6	89.8	91.2
81	88.6	87.9	89.2	90.3	89.4	90.9
80	88.1	87.4	88.7	89.9	89	90.7
79	87.6	86.8	88.3	89.6	88.6	90.4
78	87.1	86.3	87.8	89.3	88.3	90.1
77	86.7	85.8	87.4	89.1	88	89.9
76	86.2	85.4	87	88.8	87.7	89.7
75	85.8	84.9	86.6	88.5	87.4	89.5
74	85.4	84.5	86.2	88.3	87.1	89.3
73	85	84	85.9	88.1	86.8	89.2
72	84.6	83.6	85.5	87.9	86.6	89
71	84.2	83.2	85.2	87.7	86.3	88.8
70	83.9	82.9	84.9	87.5	86.1	88.7
69	83.6	82.5	84.6	87.3	85.9	88.5
68	83.3	82.2	84.3	87.1	85.7	88.4
67	83	81.9	84	87	85.5	88.3
66	82.7	81.6	83.8	86.8	85.3	88.2
65	82.4	81.3	83.5	86.7	85.1	88.1
64	82.2	81.1	83.3	86.5	84.9	87.9
63	81.9	80.8	83.1	86.4	84.8	87.8
62	81.6	80.5	82.9	86.3	84.6	87.8
61	81.4	80.2	82.7	86.1	84.5	87.7
60	81.2	79.9	82.5	86	84.3	87.6
59	80.9	79.6	82.3	85.9	84.2	87.5
58	80.7	79.4	82.2	85.8	84.1	87.4
57	80.5	79.1	82	85.7	84	87.3
56	80.3	78.9	81.8	85.6	83.9	87.3
55	80.1	78.7	81.7	85.6	83.8	87.2
54	80	78.5	81.5	85.5	83.7	87.1
53	79.8	78.3	81.4	85.4	83.6	87.1
52	79.7	78.1	81.3	85.3	83.5	87
51	79.5	78	81.1	85.3	83.4	87
50	79.4	77.8	81	85.2	83.4	86.9
49	79.2	77.7	80.9	85.2	83.3	86.9
48	79.1	77.6	80.8	85.1	83.2	86.9
47	79	77.4	80.7	85.1	83.2	86.8
46	78.9	77.3	80.6	85	83.1	86.8
45	78.8	77.3	80.5	85	83.1	86.7
44	78.8	77.2	80.5	84.9	83.1	86.7
43	78.7	77.1	80.4	84.9	83	86.7
42	78.6	77	80.3	84.9	83	86.7
41	78.5	77	80.2	84.9	82.9	86.6
40	78.5	76.9	80.2	84.8	82.9	86.6
39	78.4	76.8	80.1	84.8	82.9	86.6
38	78.4	76.8	80.1	84.8	82.8	86.6
37	78.3	76.7	80	84.8	82.8	86.6
36	78.3	76.7	80	84.7	82.8	86.6
35	78.2	76.6	79.9	84.7	82.8	86.5
34	78.2	76.6	79.9	84.7	82.7	86.5
33	78.1	76.5	79.8	84.7	82.7	86.5
32	78.1	76.5	79.8	84.7	82.7	86.5
31	78	76.4	79.8	84.6	82.7	86.5
30	78	76.4	79.7	84.6	82.7	86.5
29	77.9	76.3	79.7	84.6	82.6	86.5
28	77.9	76.3	79.6	84.6	82.6	86.5
27	77.8	76.2	79.6	84.6	82.6	86.5
26	77.8	76.2	79.6	84.6	82.6	86.4
25	77.8	76.1	79.5	84.6	82.6	86.4
24	77.7	76.1	79.5	84.5	82.5	86.4
23	77.7	76	79.4	84.5	82.5	86.4
22	77.6	76	79.4	84.5	82.5	86.4
21	77.6	75.9	79.3	84.5	82.5	86.4
20	77.5	75.9	79.3	84.5	82.5	86.4
19	77.5	75.8	79.2	84.5	82.4	86.4
18	77.4	75.8	79.2	84.5	82.4	86.4
17	77.4	75.7	79.1	84.4	82.4	86.4
16	77.3	75.7	79.1	84.4	82.4	86.4
15	77.3	75.6	79	84.4	82.4	86.4
14	77.2	75.6	79	84.4	82.4	86.4
13	77.2	75.6	78.9	84.4	82.4	86.4
12	77.2	75.5	78.9	84.4	82.4	86.3
11	77.1	75.5	78.9	84.4	82.4	86.3
10	77.1	75.5	78.9	84.4	82.4	86.3
9	77.1	75.5	78.8	84.4	82.4	86.3
8	77.1	75.4	78.8	84.4	82.3	86.3
7	77	75.4	78.8	84.4	82.3	86.3
6	77	75.3	78.7	84.4	82.3	86.3
5	76.9	75.3	78.6	84.4	82.3	86.3
4	76.9	75.2	78.6	84.4	82.3	86.3
3	76.8	75.2	78.5	84.4	82.3	86.3
2	76.8	75.2	78.5	84.4	82.3	86.3
1	76.6	75	78.3	84.4	82.3	86.3
0	75.5	73.8	77.2	84.2	82.1	86.1

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 Bangladesh can expect to live to 78 years compared to 84.6 in Italy, rising to 82.4 and 86.7 at 65, and to 88.1 and 89.9 at 80 — higher than the 75.5 and 84.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Italy

Male

Female

1x

Age	Survival probability
	Bangladesh			Italy
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	2.7%	1.41%	3.78%
99	1.37%	0.63%	2.15%	4.03%	2.2%	5.57%
98	2.06%	1.05%	3.16%	5.79%	3.32%	7.88%
97	2.99%	1.63%	4.44%	8.03%	4.83%	10.8%
96	4.16%	2.43%	6.03%	10.8%	6.77%	14.2%
95	5.6%	3.46%	7.92%	14%	9.18%	18.2%
94	7.32%	4.75%	10.1%	17.7%	12.1%	22.6%
93	9.32%	6.3%	12.6%	21.7%	15.4%	27.4%
92	11.6%	8.13%	15.3%	26.1%	19.2%	32.4%
91	14.1%	10.2%	18.3%	30.8%	23.3%	37.6%
90	16.8%	12.6%	21.4%	35.6%	27.7%	42.8%
89	19.8%	15.2%	24.7%	40.4%	32.2%	47.9%
88	22.9%	18%	28.1%	45.1%	36.9%	52.8%
87	26.1%	21%	31.6%	49.7%	41.4%	57.4%
86	29.4%	24.1%	35%	54%	45.9%	61.7%
85	32.7%	27.4%	38.5%	58%	50.1%	65.5%
84	36.1%	30.7%	41.9%	61.7%	54.1%	69%
83	39.4%	34%	45.2%	65.1%	57.8%	72.2%
82	42.7%	37.3%	48.5%	68.2%	61.2%	75%
81	45.9%	40.5%	51.7%	71%	64.4%	77.5%
80	49%	43.7%	54.7%	73.6%	67.3%	79.6%
79	52%	46.8%	57.6%	75.9%	70%	81.5%
78	54.9%	49.9%	60.3%	77.9%	72.4%	83.2%
77	57.7%	52.9%	62.9%	79.8%	74.6%	84.8%
76	60.4%	55.7%	65.3%	81.5%	76.7%	86.1%
75	62.9%	58.5%	67.6%	83%	78.6%	87.3%
74	65.2%	61.1%	69.8%	84.4%	80.4%	88.4%
73	67.5%	63.5%	71.8%	85.7%	82%	89.4%
72	69.6%	65.8%	73.6%	86.9%	83.5%	90.3%
71	71.5%	68%	75.4%	88%	84.9%	91.1%
70	73.4%	69.9%	77%	89%	86.1%	91.9%
69	75.1%	71.8%	78.6%	89.9%	87.2%	92.5%
68	76.6%	73.4%	80%	90.7%	88.3%	93.1%
67	78.1%	75%	81.4%	91.5%	89.3%	93.7%
66	79.5%	76.4%	82.6%	92.2%	90.2%	94.2%
65	80.7%	77.8%	83.8%	92.8%	91%	94.7%
64	81.9%	79.2%	84.8%	93.4%	91.7%	95.1%
63	83.1%	80.5%	85.8%	94%	92.4%	95.5%
62	84.2%	81.8%	86.6%	94.5%	93.1%	95.9%
61	85.2%	83%	87.4%	94.9%	93.7%	96.2%
60	86.2%	84.2%	88.1%	95.4%	94.2%	96.5%
59	87.1%	85.4%	88.8%	95.7%	94.7%	96.8%
58	87.9%	86.4%	89.4%	96.1%	95.1%	97.1%
57	88.7%	87.4%	90%	96.4%	95.5%	97.3%
56	89.4%	88.3%	90.5%	96.7%	95.9%	97.5%
55	90.1%	89.1%	91%	97%	96.2%	97.7%
54	90.7%	89.8%	91.5%	97.2%	96.5%	97.9%
53	91.3%	90.5%	92%	97.4%	96.8%	98.1%
52	91.8%	91.1%	92.4%	97.6%	97.1%	98.2%
51	92.3%	91.7%	92.8%	97.8%	97.3%	98.4%
50	92.7%	92.2%	93.2%	98%	97.5%	98.5%
49	93.1%	92.6%	93.5%	98.1%	97.7%	98.6%
48	93.4%	93%	93.8%	98.3%	97.8%	98.7%
47	93.8%	93.4%	94.1%	98.4%	98%	98.8%
46	94%	93.7%	94.3%	98.5%	98.1%	98.9%
45	94.3%	94%	94.5%	98.6%	98.2%	99%
44	94.5%	94.2%	94.7%	98.7%	98.3%	99%
43	94.7%	94.4%	94.9%	98.8%	98.4%	99.1%
42	94.9%	94.6%	95.1%	98.8%	98.5%	99.2%
41	95.1%	94.8%	95.3%	98.9%	98.6%	99.2%
40	95.2%	95%	95.5%	99%	98.7%	99.3%
39	95.4%	95.1%	95.6%	99%	98.8%	99.3%
38	95.5%	95.3%	95.7%	99.1%	98.8%	99.3%
37	95.6%	95.4%	95.8%	99.1%	98.9%	99.4%
36	95.7%	95.5%	95.9%	99.2%	98.9%	99.4%
35	95.9%	95.6%	96%	99.2%	99%	99.4%
34	96%	95.8%	96.1%	99.2%	99%	99.5%
33	96.1%	95.9%	96.2%	99.3%	99.1%	99.5%
32	96.2%	96%	96.3%	99.3%	99.1%	99.5%
31	96.3%	96.1%	96.4%	99.3%	99.2%	99.5%
30	96.3%	96.2%	96.5%	99.4%	99.2%	99.5%
29	96.4%	96.3%	96.5%	99.4%	99.2%	99.5%
28	96.5%	96.4%	96.6%	99.4%	99.3%	99.6%
27	96.6%	96.5%	96.7%	99.4%	99.3%	99.6%
26	96.7%	96.6%	96.8%	99.5%	99.4%	99.6%
25	96.7%	96.7%	96.8%	99.5%	99.4%	99.6%
24	96.8%	96.7%	96.9%	99.5%	99.4%	99.6%
23	96.9%	96.8%	97%	99.5%	99.5%	99.6%
22	97%	96.9%	97%	99.6%	99.5%	99.6%
21	97%	97%	97.1%	99.6%	99.5%	99.7%
20	97.1%	97.1%	97.2%	99.6%	99.6%	99.7%
19	97.2%	97.2%	97.3%	99.6%	99.6%	99.7%
18	97.3%	97.3%	97.4%	99.7%	99.6%	99.7%
17	97.4%	97.4%	97.5%	99.7%	99.6%	99.7%
16	97.5%	97.4%	97.6%	99.7%	99.7%	99.7%
15	97.6%	97.5%	97.6%	99.7%	99.7%	99.7%
14	97.6%	97.6%	97.7%	99.7%	99.7%	99.7%
13	97.7%	97.6%	97.8%	99.7%	99.7%	99.7%
12	97.7%	97.7%	97.8%	99.7%	99.7%	99.7%
11	97.8%	97.7%	97.8%	99.7%	99.7%	99.7%
10	97.8%	97.8%	97.9%	99.7%	99.7%	99.7%
9	97.9%	97.8%	97.9%	99.7%	99.7%	99.8%
8	97.9%	97.8%	98%	99.7%	99.7%	99.8%
7	98%	97.9%	98%	99.7%	99.7%	99.8%
6	98%	97.9%	98.1%	99.7%	99.7%	99.8%
5	98.1%	98%	98.2%	99.8%	99.7%	99.8%
4	98.2%	98.1%	98.3%	99.8%	99.7%	99.8%
3	98.2%	98.1%	98.3%	99.8%	99.8%	99.8%
2	98.3%	98.2%	98.4%	99.8%	99.8%	99.8%
1	98.5%	98.4%	98.6%	99.8%	99.8%	99.8%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 95.4% in Italy are expected to live past 60, 73.4% and 89% past 70, 49% and 73.6% past 80, and only 16.8% and 35.6% 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

Italy

Male

Female

1x

Age	Probability of dying
	Bangladesh			Italy
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	35.3%	38.6%	34.5%
99	36.9%	43.4%	35%	32.9%	36.1%	32%
98	33.8%	39.5%	31.9%	30.4%	33.7%	29.4%
97	30.9%	36%	29%	27.9%	31.2%	26.8%
96	28.2%	32.7%	26.3%	25.4%	28.7%	24.3%
95	25.7%	29.8%	23.8%	23.1%	26.2%	21.9%
94	23.5%	27.1%	21.6%	20.8%	23.9%	19.5%
93	21.4%	24.7%	19.6%	18.7%	21.7%	17.4%
92	19.5%	22.5%	17.9%	16.8%	19.6%	15.5%
91	17.8%	20.5%	16.2%	15.1%	17.7%	13.8%
90	16.3%	18.7%	14.7%	13.5%	15.9%	12.2%
89	14.8%	17.1%	13.3%	12%	14.2%	10.7%
88	13.5%	15.6%	12.1%	10.5%	12.5%	9.26%
87	12.3%	14.3%	10.9%	9.15%	11%	7.97%
86	11.2%	13%	9.89%	7.99%	9.68%	6.87%
85	10.2%	11.9%	8.97%	6.95%	8.46%	5.91%
84	9.3%	10.8%	8.14%	6.02%	7.37%	5.07%
83	8.45%	9.74%	7.4%	5.23%	6.42%	4.36%
82	7.68%	8.82%	6.72%	4.54%	5.61%	3.74%
81	6.98%	8.01%	6.1%	3.95%	4.93%	3.2%
80	6.36%	7.29%	5.53%	3.44%	4.32%	2.73%
79	5.8%	6.68%	5.02%	3%	3.79%	2.35%
78	5.29%	6.12%	4.54%	2.63%	3.34%	2.04%
77	4.82%	5.61%	4.11%	2.33%	2.99%	1.78%
76	4.39%	5.14%	3.73%	2.08%	2.69%	1.57%
75	3.99%	4.69%	3.37%	1.87%	2.43%	1.39%
74	3.64%	4.27%	3.06%	1.69%	2.2%	1.25%
73	3.32%	3.87%	2.78%	1.52%	1.99%	1.12%
72	3.02%	3.49%	2.54%	1.37%	1.79%	1%
71	2.74%	3.15%	2.32%	1.23%	1.61%	0.9%
70	2.49%	2.82%	2.13%	1.11%	1.44%	0.8%
69	2.26%	2.53%	1.96%	1%	1.31%	0.72%
68	2.05%	2.28%	1.81%	0.91%	1.2%	0.65%
67	1.87%	2.07%	1.66%	0.84%	1.1%	0.59%
66	1.72%	1.9%	1.52%	0.76%	0.99%	0.55%
65	1.58%	1.78%	1.38%	0.69%	0.9%	0.5%
64	1.47%	1.69%	1.24%	0.64%	0.82%	0.46%
63	1.38%	1.63%	1.11%	0.58%	0.75%	0.41%
62	1.29%	1.57%	0.99%	0.53%	0.68%	0.38%
61	1.21%	1.51%	0.89%	0.48%	0.62%	0.35%
60	1.12%	1.43%	0.81%	0.44%	0.57%	0.32%
59	1.04%	1.33%	0.74%	0.4%	0.51%	0.29%
58	0.96%	1.23%	0.69%	0.36%	0.47%	0.27%
57	0.88%	1.12%	0.64%	0.33%	0.42%	0.24%
56	0.8%	1.01%	0.6%	0.3%	0.38%	0.22%
55	0.74%	0.91%	0.57%	0.27%	0.34%	0.21%
54	0.68%	0.83%	0.54%	0.25%	0.31%	0.19%
53	0.62%	0.75%	0.5%	0.23%	0.28%	0.17%
52	0.57%	0.68%	0.47%	0.2%	0.26%	0.16%
51	0.52%	0.61%	0.44%	0.19%	0.23%	0.14%
50	0.47%	0.55%	0.4%	0.17%	0.21%	0.13%
49	0.42%	0.48%	0.36%	0.15%	0.18%	0.12%
48	0.37%	0.43%	0.32%	0.14%	0.17%	0.11%
47	0.33%	0.37%	0.28%	0.12%	0.15%	0.1%
46	0.29%	0.33%	0.25%	0.11%	0.14%	0.09%
45	0.26%	0.29%	0.23%	0.1%	0.13%	0.08%
44	0.23%	0.26%	0.21%	0.09%	0.11%	0.07%
43	0.22%	0.23%	0.2%	0.08%	0.1%	0.06%
42	0.2%	0.21%	0.19%	0.07%	0.09%	0.06%
41	0.19%	0.19%	0.18%	0.07%	0.09%	0.05%
40	0.17%	0.18%	0.17%	0.06%	0.08%	0.05%
39	0.16%	0.16%	0.15%	0.06%	0.07%	0.04%
38	0.14%	0.15%	0.14%	0.05%	0.06%	0.04%
37	0.13%	0.14%	0.12%	0.05%	0.06%	0.03%
36	0.12%	0.13%	0.11%	0.04%	0.05%	0.03%
35	0.11%	0.13%	0.1%	0.04%	0.05%	0.03%
34	0.11%	0.12%	0.09%	0.04%	0.05%	0.02%
33	0.1%	0.12%	0.09%	0.03%	0.05%	0.02%
32	0.1%	0.12%	0.09%	0.03%	0.04%	0.02%
31	0.1%	0.12%	0.09%	0.03%	0.04%	0.02%
30	0.1%	0.11%	0.09%	0.03%	0.04%	0.02%
29	0.09%	0.11%	0.08%	0.03%	0.04%	0.02%
28	0.09%	0.1%	0.08%	0.03%	0.04%	0.02%
27	0.08%	0.09%	0.07%	0.03%	0.04%	0.02%
26	0.08%	0.08%	0.07%	0.03%	0.04%	0.02%
25	0.07%	0.08%	0.07%	0.03%	0.04%	0.02%
24	0.07%	0.08%	0.07%	0.02%	0.04%	0.01%
23	0.08%	0.08%	0.07%	0.02%	0.03%	0.01%
22	0.08%	0.08%	0.07%	0.02%	0.03%	0.01%
21	0.08%	0.09%	0.08%	0.02%	0.03%	0.01%
20	0.09%	0.09%	0.09%	0.02%	0.03%	0.01%
19	0.09%	0.1%	0.09%	0.02%	0.03%	0.01%
18	0.1%	0.1%	0.09%	0.02%	0.03%	0.01%
17	0.09%	0.09%	0.09%	0.02%	0.02%	0.01%
16	0.09%	0.09%	0.09%	0.01%	0.02%	0.009%
15	0.08%	0.08%	0.08%	0.01%	0.01%	0.008%
14	0.07%	0.07%	0.07%	0.009%	0.01%	0.007%
13	0.06%	0.05%	0.06%	0.007%	0.008%	0.006%
12	0.05%	0.04%	0.05%	0.006%	0.007%	0.005%
11	0.04%	0.04%	0.04%	0.006%	0.006%	0.005%
10	0.04%	0.03%	0.04%	0.006%	0.006%	0.005%
9	0.04%	0.04%	0.04%	0.005%	0.006%	0.004%
8	0.05%	0.04%	0.05%	0.005%	0.006%	0.004%
7	0.06%	0.05%	0.06%	0.005%	0.005%	0.004%
6	0.07%	0.07%	0.07%	0.005%	0.005%	0.005%
5	0.08%	0.07%	0.08%	0.005%	0.006%	0.005%
4	0.07%	0.07%	0.08%	0.006%	0.007%	0.006%
3	0.06%	0.06%	0.07%	0.007%	0.008%	0.006%
2	0.07%	0.07%	0.07%	0.007%	0.008%	0.007%
1	0.18%	0.18%	0.17%	0.02%	0.02%	0.02%
0	1.53%	1.61%	1.44%	0.21%	0.22%	0.19%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.21% in Italy, 0.1% vs 0.03% at age 30, 1.12% vs 0.44% at 60, and 6.36% vs 3.44% at 80.

Death rate by age in Bangladesh vs Italy

Chart Table

Bangladesh

Male

Female

Italy

Male

Female

1x

Age	Death rate
	Bangladesh			Italy
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	823	339	1,226
99	504	274.2	753	1,326	795	1,783
98	698	414	1,006	1,758	1,118	2,319
97	924	588	1,288	2,238	1,507	2,892
96	1,175	796	1,587	2,738	1,944	3,460
95	1,440	1,030	1,887	3,225	2,407	3,981
94	1,718	1,287	2,186	3,673	2,883	4,420
93	1,995	1,557	2,471	4,066	3,342	4,765
92	2,264	1,828	2,735	4,388	3,752	5,017
91	2,514	2,095	2,969	4,640	4,111	5,179
90	2,738	2,353	3,155	4,795	4,395	5,221
89	2,932	2,596	3,297	4,834	4,577	5,128
88	3,093	2,815	3,394	4,737	4,625	4,892
87	3,217	3,003	3,447	4,547	4,565	4,575
86	3,301	3,148	3,465	4,315	4,441	4,236
85	3,347	3,247	3,451	4,030	4,239	3,871
84	3,355	3,299	3,412	3,718	3,985	3,501
83	3,331	3,310	3,348	3,406	3,709	3,148
82	3,279	3,289	3,261	3,101	3,435	2,806
81	3,205	3,246	3,153	2,808	3,173	2,476
80	3,114	3,189	3,027	2,530	2,912	2,174
79	3,015	3,128	2,889	2,275	2,654	1,918
78	2,903	3,054	2,742	2,048	2,420	1,698
77	2,781	2,966	2,589	1,859	2,230	1,508
76	2,649	2,862	2,434	1,697	2,065	1,347
75	2,510	2,740	2,281	1,556	1,913	1,216
74	2,374	2,605	2,137	1,428	1,767	1,103
73	2,238	2,458	1,998	1,307	1,628	1,001
72	2,099	2,301	1,868	1,192	1,493	906
71	1,961	2,138	1,748	1,084	1,365	817
70	1,826	1,974	1,638	984	1,244	735
69	1,697	1,817	1,540	899	1,143	664
68	1,574	1,674	1,445	828	1,061	604
67	1,463	1,551	1,351	764	981	555
66	1,364	1,452	1,255	701	894	515
65	1,278	1,382	1,154	643	815	477
64	1,206	1,339	1,052	594	757	436
63	1,143	1,310	953	544	697	395
62	1,085	1,285	861	497	637	360
61	1,028	1,253	781	458	584	334
60	968	1,203	714	421	533	311
59	906	1,138	659	385	485	285.4
58	841	1,059	615	350	443	260
57	778	975	577	321	405	237.7
56	718	892	545	292.8	368	218.2
55	664	814	516	265.2	331	200.4
54	615	743	490	240.3	298.2	183.2
53	570	679	464	219.6	272.7	166.6
52	526	618	437	200.1	247.9	152.4
51	482	560	406	181.5	223.5	139.4
50	437	503	371	163.7	200.6	126.5
49	391	448	334	147.8	180.6	114.7
48	347	396	296.7	134.3	163.9	104.3
47	307	349	263.5	122.5	149.9	94.8
46	272.6	308	235.8	111.5	137.2	85.4
45	244	272.8	214.7	100.6	124.2	76.6
44	221.8	243.8	200.3	89.9	110.6	68.8
43	204.5	219.6	190.2	80.6	99.1	61.8
42	190.1	199.2	181.9	73.5	91.2	55.5
41	177.1	181.7	173	67.1	83.9	50
40	164	166.5	161.7	61	76.2	45.5
39	149.7	153.1	146.8	55.5	68.6	42.1
38	135.6	141.5	130.4	50.3	61.9	38.6
37	123.1	132.1	115.1	46	57.2	34.5
36	112.9	124.8	102.4	42.3	53.7	30.4
35	105.6	119.7	93.2	39.2	50.8	27
34	101.3	116.7	87.9	36.7	48.4	24.3
33	99.2	115.2	85.6	34.7	46.3	22.3
32	98.3	114.1	85	32.7	44.4	20.3
31	97.4	112.5	84.9	30.5	42	18.2
30	95.3	109.1	84	28.4	39.1	16.8
29	90.9	103.1	81.1	27	37.1	15.9
28	85.2	95.6	76.8	26.6	36.7	15.2
27	79.3	88.1	72.3	26.7	37.1	15
26	74.5	81.9	68.5	26.7	36.9	15.5
25	71.7	78	66.4	26.1	36.1	15.3
24	71	76.7	66.2	24.6	35.2	13.4
23	73	78.2	68.4	23.7	34.6	12.1
22	76.9	81.7	72.4	24	34.7	12.8
21	81.9	86.3	77.8	24	34.2	13.3
20	87.2	90.9	83.5	22.5	32.5	11.9
19	91.1	93.9	88.3	21.4	31.1	11.1
18	92.8	94.5	91	19.8	28.5	10.6
17	91.4	92	90.8	17	23.7	9.83
16	86.6	86.2	87	13.7	18.3	8.79
15	78	77	79	10.9	13.8	7.8
14	66.5	65.4	67.8	8.59	10.3	6.75
13	54.3	53.3	55.5	6.87	7.94	5.73
12	44.1	43.2	45.1	5.85	6.64	5.02
11	37.7	36.8	38.7	5.63	6.4	4.82
10	34.4	33.5	35.3	5.6	6.4	4.74
9	36.2	35	37.5	5.23	5.98	4.44
8	44.9	42.8	47	4.88	5.54	4.17
7	56.8	53.6	60.1	4.69	5.21	4.14
6	67.8	63.8	72.1	4.8	5.09	4.49
5	74.1	69.7	78.7	5.32	5.51	5.13
4	71.7	67.9	75.7	6.2	6.66	5.71
3	61.4	58.9	63.9	6.79	7.54	5.99
2	70.1	68.9	71.4	7.4	8.03	6.73
1	172.9	175.4	170.2	18.9	19.8	17.9
0	1,530	1,613	1,443	206.6	218.2	194.3

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 Italy. The median age of death is 79.7 in Bangladesh and 86.9 in Italy, 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 Italy more than their death rates.

Life expectancy in other countries

+ -

1x