Life Expectancy in Bangladesh vs Peru (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Peru

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Peru
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.8	102.4	103
99	101.2	100.9	101.3	102	101.6	102.2
98	100.3	99.9	100.4	101.2	100.7	101.3
97	99.4	99.1	99.6	100.4	99.9	100.6
96	98.6	98.2	98.8	99.6	99	99.8
95	97.8	97.4	98	98.8	98.3	99.1
94	97	96.6	97.2	98.1	97.5	98.4
93	96.3	95.9	96.5	97.3	96.7	97.7
92	95.5	95.1	95.8	96.6	96	97
91	94.8	94.4	95.1	95.9	95.3	96.3
90	94.1	93.6	94.4	95.3	94.6	95.7
89	93.4	92.9	93.8	94.6	93.9	95.1
88	92.8	92.2	93.1	94	93.2	94.5
87	92.1	91.6	92.5	93.4	92.6	94
86	91.5	90.9	91.9	92.8	92	93.4
85	90.9	90.3	91.3	92.2	91.4	92.9
84	90.3	89.6	90.8	91.7	90.8	92.4
83	89.7	89	90.2	91.2	90.3	91.9
82	89.2	88.5	89.7	90.7	89.7	91.4
81	88.6	87.9	89.2	90.2	89.2	91
80	88.1	87.4	88.7	89.7	88.7	90.5
79	87.6	86.8	88.3	89.3	88.2	90.1
78	87.1	86.3	87.8	88.8	87.8	89.7
77	86.7	85.8	87.4	88.4	87.3	89.3
76	86.2	85.4	87	88	86.9	89
75	85.8	84.9	86.6	87.6	86.5	88.6
74	85.4	84.5	86.2	87.3	86.1	88.3
73	85	84	85.9	86.9	85.7	88
72	84.6	83.6	85.5	86.6	85.4	87.6
71	84.2	83.2	85.2	86.2	85	87.3
70	83.9	82.9	84.9	85.9	84.7	87.1
69	83.6	82.5	84.6	85.7	84.4	86.8
68	83.3	82.2	84.3	85.4	84.1	86.5
67	83	81.9	84	85.1	83.8	86.3
66	82.7	81.6	83.8	84.9	83.6	86.1
65	82.4	81.3	83.5	84.6	83.3	85.8
64	82.2	81.1	83.3	84.4	83.1	85.6
63	81.9	80.8	83.1	84.2	82.8	85.4
62	81.6	80.5	82.9	83.9	82.6	85.2
61	81.4	80.2	82.7	83.7	82.3	85
60	81.2	79.9	82.5	83.5	82.1	84.9
59	80.9	79.6	82.3	83.3	81.9	84.7
58	80.7	79.4	82.2	83.1	81.7	84.5
57	80.5	79.1	82	82.9	81.5	84.4
56	80.3	78.9	81.8	82.8	81.3	84.2
55	80.1	78.7	81.7	82.6	81.1	84.1
54	80	78.5	81.5	82.5	80.9	83.9
53	79.8	78.3	81.4	82.3	80.8	83.8
52	79.7	78.1	81.3	82.2	80.6	83.7
51	79.5	78	81.1	82	80.5	83.6
50	79.4	77.8	81	81.9	80.3	83.5
49	79.2	77.7	80.9	81.8	80.2	83.4
48	79.1	77.6	80.8	81.7	80.1	83.3
47	79	77.4	80.7	81.6	80	83.2
46	78.9	77.3	80.6	81.5	79.8	83.1
45	78.8	77.3	80.5	81.4	79.7	83
44	78.8	77.2	80.5	81.3	79.6	82.9
43	78.7	77.1	80.4	81.2	79.5	82.9
42	78.6	77	80.3	81.1	79.4	82.8
41	78.5	77	80.2	81	79.3	82.7
40	78.5	76.9	80.2	80.9	79.2	82.7
39	78.4	76.8	80.1	80.9	79.1	82.6
38	78.4	76.8	80.1	80.8	79	82.5
37	78.3	76.7	80	80.7	78.9	82.5
36	78.3	76.7	80	80.7	78.9	82.4
35	78.2	76.6	79.9	80.6	78.8	82.4
34	78.2	76.6	79.9	80.5	78.7	82.4
33	78.1	76.5	79.8	80.4	78.6	82.3
32	78.1	76.5	79.8	80.4	78.5	82.3
31	78	76.4	79.8	80.3	78.4	82.2
30	78	76.4	79.7	80.3	78.3	82.2
29	77.9	76.3	79.7	80.2	78.3	82.1
28	77.9	76.3	79.6	80.1	78.2	82.1
27	77.8	76.2	79.6	80.1	78.1	82.1
26	77.8	76.2	79.6	80	78	82
25	77.8	76.1	79.5	80	77.9	82
24	77.7	76.1	79.5	79.9	77.8	81.9
23	77.7	76	79.4	79.8	77.8	81.9
22	77.6	76	79.4	79.8	77.7	81.9
21	77.6	75.9	79.3	79.7	77.6	81.8
20	77.5	75.9	79.3	79.7	77.5	81.8
19	77.5	75.8	79.2	79.6	77.5	81.8
18	77.4	75.8	79.2	79.6	77.4	81.8
17	77.4	75.7	79.1	79.5	77.4	81.7
16	77.3	75.7	79.1	79.5	77.3	81.7
15	77.3	75.6	79	79.5	77.3	81.7
14	77.2	75.6	79	79.4	77.3	81.6
13	77.2	75.6	78.9	79.4	77.3	81.6
12	77.2	75.5	78.9	79.4	77.2	81.6
11	77.1	75.5	78.9	79.4	77.2	81.6
10	77.1	75.5	78.9	79.4	77.2	81.6
9	77.1	75.5	78.8	79.3	77.2	81.5
8	77.1	75.4	78.8	79.3	77.1	81.5
7	77	75.4	78.8	79.3	77.1	81.5
6	77	75.3	78.7	79.3	77.1	81.5
5	76.9	75.3	78.6	79.3	77.1	81.5
4	76.9	75.2	78.6	79.2	77	81.4
3	76.8	75.2	78.5	79.2	77	81.4
2	76.8	75.2	78.5	79.1	76.9	81.3
1	76.6	75	78.3	79.1	76.9	81.3
0	75.5	73.8	77.2	78.3	76	80.6

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 80.3 in Peru, rising to 82.4 and 84.6 at 65, and to 88.1 and 89.7 at 80 — higher than the 75.5 and 78.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Peru

Male

Female

1x

Age	Survival probability
	Bangladesh			Peru
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	3.3%	1.65%	4.97%
99	1.37%	0.63%	2.15%	4.42%	2.35%	6.53%
98	2.06%	1.05%	3.16%	5.8%	3.27%	8.37%
97	2.99%	1.63%	4.44%	7.44%	4.42%	10.5%
96	4.16%	2.43%	6.03%	9.34%	5.83%	12.9%
95	5.6%	3.46%	7.92%	11.5%	7.52%	15.6%
94	7.32%	4.75%	10.1%	13.9%	9.49%	18.5%
93	9.32%	6.3%	12.6%	16.6%	11.7%	21.5%
92	11.6%	8.13%	15.3%	19.4%	14.2%	24.8%
91	14.1%	10.2%	18.3%	22.5%	16.9%	28.1%
90	16.8%	12.6%	21.4%	25.6%	19.8%	31.5%
89	19.8%	15.2%	24.7%	28.8%	22.9%	34.9%
88	22.9%	18%	28.1%	32.1%	26%	38.2%
87	26.1%	21%	31.6%	35.4%	29.3%	41.6%
86	29.4%	24.1%	35%	38.7%	32.6%	44.9%
85	32.7%	27.4%	38.5%	41.9%	35.9%	48%
84	36.1%	30.7%	41.9%	45.1%	39.2%	51.1%
83	39.4%	34%	45.2%	48.2%	42.4%	54.1%
82	42.7%	37.3%	48.5%	51.2%	45.5%	56.9%
81	45.9%	40.5%	51.7%	54.1%	48.6%	59.6%
80	49%	43.7%	54.7%	56.8%	51.5%	62.2%
79	52%	46.8%	57.6%	59.5%	54.3%	64.7%
78	54.9%	49.9%	60.3%	61.9%	57%	67%
77	57.7%	52.9%	62.9%	64.3%	59.5%	69.2%
76	60.4%	55.7%	65.3%	66.5%	61.9%	71.2%
75	62.9%	58.5%	67.6%	68.7%	64.2%	73.1%
74	65.2%	61.1%	69.8%	70.6%	66.4%	74.9%
73	67.5%	63.5%	71.8%	72.5%	68.5%	76.6%
72	69.6%	65.8%	73.6%	74.2%	70.4%	78.2%
71	71.5%	68%	75.4%	75.8%	72.1%	79.6%
70	73.4%	69.9%	77%	77.3%	73.7%	81%
69	75.1%	71.8%	78.6%	78.7%	75.3%	82.2%
68	76.6%	73.4%	80%	80%	76.7%	83.4%
67	78.1%	75%	81.4%	81.2%	78%	84.5%
66	79.5%	76.4%	82.6%	82.3%	79.2%	85.5%
65	80.7%	77.8%	83.8%	83.4%	80.4%	86.4%
64	81.9%	79.2%	84.8%	84.3%	81.5%	87.3%
63	83.1%	80.5%	85.8%	85.3%	82.6%	88.1%
62	84.2%	81.8%	86.6%	86.2%	83.6%	88.8%
61	85.2%	83%	87.4%	87%	84.5%	89.5%
60	86.2%	84.2%	88.1%	87.8%	85.4%	90.2%
59	87.1%	85.4%	88.8%	88.5%	86.2%	90.8%
58	87.9%	86.4%	89.4%	89.2%	87%	91.4%
57	88.7%	87.4%	90%	89.8%	87.7%	91.9%
56	89.4%	88.3%	90.5%	90.4%	88.4%	92.4%
55	90.1%	89.1%	91%	90.9%	89%	92.9%
54	90.7%	89.8%	91.5%	91.4%	89.6%	93.3%
53	91.3%	90.5%	92%	91.9%	90.1%	93.7%
52	91.8%	91.1%	92.4%	92.3%	90.6%	94.1%
51	92.3%	91.7%	92.8%	92.7%	91.1%	94.4%
50	92.7%	92.2%	93.2%	93.1%	91.5%	94.7%
49	93.1%	92.6%	93.5%	93.4%	91.9%	95%
48	93.4%	93%	93.8%	93.7%	92.2%	95.3%
47	93.8%	93.4%	94.1%	94%	92.6%	95.5%
46	94%	93.7%	94.3%	94.3%	92.9%	95.8%
45	94.3%	94%	94.5%	94.6%	93.2%	96%
44	94.5%	94.2%	94.7%	94.8%	93.5%	96.2%
43	94.7%	94.4%	94.9%	95%	93.7%	96.3%
42	94.9%	94.6%	95.1%	95.2%	94%	96.5%
41	95.1%	94.8%	95.3%	95.4%	94.2%	96.7%
40	95.2%	95%	95.5%	95.6%	94.5%	96.8%
39	95.4%	95.1%	95.6%	95.8%	94.7%	96.9%
38	95.5%	95.3%	95.7%	96%	94.9%	97.1%
37	95.6%	95.4%	95.8%	96.2%	95.1%	97.2%
36	95.7%	95.5%	95.9%	96.3%	95.3%	97.3%
35	95.9%	95.6%	96%	96.5%	95.5%	97.4%
34	96%	95.8%	96.1%	96.6%	95.7%	97.5%
33	96.1%	95.9%	96.2%	96.7%	95.9%	97.6%
32	96.2%	96%	96.3%	96.9%	96.1%	97.6%
31	96.3%	96.1%	96.4%	97%	96.3%	97.7%
30	96.3%	96.2%	96.5%	97.1%	96.4%	97.8%
29	96.4%	96.3%	96.5%	97.2%	96.6%	97.9%
28	96.5%	96.4%	96.6%	97.3%	96.7%	98%
27	96.6%	96.5%	96.7%	97.5%	96.9%	98%
26	96.7%	96.6%	96.8%	97.6%	97.1%	98.1%
25	96.7%	96.7%	96.8%	97.7%	97.2%	98.2%
24	96.8%	96.7%	96.9%	97.8%	97.4%	98.2%
23	96.9%	96.8%	97%	97.9%	97.5%	98.3%
22	97%	96.9%	97%	98%	97.6%	98.3%
21	97%	97%	97.1%	98.1%	97.8%	98.4%
20	97.1%	97.1%	97.2%	98.2%	97.9%	98.4%
19	97.2%	97.2%	97.3%	98.2%	98%	98.5%
18	97.3%	97.3%	97.4%	98.3%	98.1%	98.5%
17	97.4%	97.4%	97.5%	98.4%	98.2%	98.6%
16	97.5%	97.4%	97.6%	98.4%	98.2%	98.6%
15	97.6%	97.5%	97.6%	98.5%	98.3%	98.7%
14	97.6%	97.6%	97.7%	98.5%	98.3%	98.7%
13	97.7%	97.6%	97.8%	98.5%	98.4%	98.7%
12	97.7%	97.7%	97.8%	98.6%	98.4%	98.8%
11	97.8%	97.7%	97.8%	98.6%	98.4%	98.8%
10	97.8%	97.8%	97.9%	98.6%	98.5%	98.8%
9	97.9%	97.8%	97.9%	98.7%	98.5%	98.8%
8	97.9%	97.8%	98%	98.7%	98.5%	98.9%
7	98%	97.9%	98%	98.7%	98.6%	98.9%
6	98%	97.9%	98.1%	98.7%	98.6%	98.9%
5	98.1%	98%	98.2%	98.8%	98.6%	98.9%
4	98.2%	98.1%	98.3%	98.8%	98.7%	99%
3	98.2%	98.1%	98.3%	98.9%	98.8%	99%
2	98.3%	98.2%	98.4%	99%	98.8%	99.1%
1	98.5%	98.4%	98.6%	99%	98.9%	99.2%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 87.8% in Peru are expected to live past 60, 73.4% and 77.3% past 70, 49% and 56.8% past 80, and only 16.8% and 25.6% 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

Peru

Male

Female

1x

Age	Probability of dying
	Bangladesh			Peru
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	27.1%	31.9%	25.4%
99	36.9%	43.4%	35%	25.5%	30%	23.8%
98	33.8%	39.5%	31.9%	23.7%	28%	22%
97	30.9%	36%	29%	22%	26.1%	20.3%
96	28.2%	32.7%	26.3%	20.4%	24.2%	18.6%
95	25.7%	29.8%	23.8%	18.8%	22.4%	17.1%
94	23.5%	27.1%	21.6%	17.4%	20.7%	15.7%
93	21.4%	24.7%	19.6%	16%	19.1%	14.3%
92	19.5%	22.5%	17.9%	14.7%	17.5%	13%
91	17.8%	20.5%	16.2%	13.4%	16%	11.8%
90	16.3%	18.7%	14.7%	12.3%	14.6%	10.7%
89	14.8%	17.1%	13.3%	11.2%	13.4%	9.75%
88	13.5%	15.6%	12.1%	10.2%	12.2%	8.84%
87	12.3%	14.3%	10.9%	9.33%	11.1%	8.02%
86	11.2%	13%	9.89%	8.5%	10.1%	7.28%
85	10.2%	11.9%	8.97%	7.74%	9.21%	6.61%
84	9.3%	10.8%	8.14%	7.05%	8.36%	6.02%
83	8.45%	9.74%	7.4%	6.42%	7.59%	5.48%
82	7.68%	8.82%	6.72%	5.84%	6.88%	5%
81	6.98%	8.01%	6.1%	5.32%	6.24%	4.56%
80	6.36%	7.29%	5.53%	4.84%	5.67%	4.16%
79	5.8%	6.68%	5.02%	4.41%	5.16%	3.79%
78	5.29%	6.12%	4.54%	4.03%	4.7%	3.46%
77	4.82%	5.61%	4.11%	3.68%	4.29%	3.15%
76	4.39%	5.14%	3.73%	3.36%	3.92%	2.88%
75	3.99%	4.69%	3.37%	3.07%	3.58%	2.62%
74	3.64%	4.27%	3.06%	2.8%	3.27%	2.4%
73	3.32%	3.87%	2.78%	2.56%	2.97%	2.19%
72	3.02%	3.49%	2.54%	2.33%	2.7%	2%
71	2.74%	3.15%	2.32%	2.12%	2.44%	1.82%
70	2.49%	2.82%	2.13%	1.93%	2.21%	1.67%
69	2.26%	2.53%	1.96%	1.76%	2.01%	1.52%
68	2.05%	2.28%	1.81%	1.61%	1.83%	1.39%
67	1.87%	2.07%	1.66%	1.47%	1.68%	1.28%
66	1.72%	1.9%	1.52%	1.36%	1.56%	1.17%
65	1.58%	1.78%	1.38%	1.26%	1.46%	1.08%
64	1.47%	1.69%	1.24%	1.18%	1.37%	0.99%
63	1.38%	1.63%	1.11%	1.1%	1.28%	0.92%
62	1.29%	1.57%	0.99%	1.03%	1.2%	0.85%
61	1.21%	1.51%	0.89%	0.96%	1.12%	0.79%
60	1.12%	1.43%	0.81%	0.89%	1.04%	0.74%
59	1.04%	1.33%	0.74%	0.82%	0.97%	0.68%
58	0.96%	1.23%	0.69%	0.76%	0.89%	0.63%
57	0.88%	1.12%	0.64%	0.7%	0.82%	0.58%
56	0.8%	1.01%	0.6%	0.65%	0.75%	0.54%
55	0.74%	0.91%	0.57%	0.59%	0.69%	0.49%
54	0.68%	0.83%	0.54%	0.55%	0.64%	0.45%
53	0.62%	0.75%	0.5%	0.5%	0.59%	0.42%
52	0.57%	0.68%	0.47%	0.46%	0.54%	0.39%
51	0.52%	0.61%	0.44%	0.43%	0.5%	0.36%
50	0.47%	0.55%	0.4%	0.39%	0.46%	0.33%
49	0.42%	0.48%	0.36%	0.36%	0.42%	0.31%
48	0.37%	0.43%	0.32%	0.34%	0.39%	0.28%
47	0.33%	0.37%	0.28%	0.31%	0.36%	0.26%
46	0.29%	0.33%	0.25%	0.29%	0.34%	0.24%
45	0.26%	0.29%	0.23%	0.27%	0.32%	0.22%
44	0.23%	0.26%	0.21%	0.25%	0.3%	0.2%
43	0.22%	0.23%	0.2%	0.24%	0.29%	0.19%
42	0.2%	0.21%	0.19%	0.22%	0.28%	0.17%
41	0.19%	0.19%	0.18%	0.21%	0.26%	0.16%
40	0.17%	0.18%	0.17%	0.2%	0.25%	0.15%
39	0.16%	0.16%	0.15%	0.19%	0.24%	0.13%
38	0.14%	0.15%	0.14%	0.18%	0.23%	0.12%
37	0.13%	0.14%	0.12%	0.17%	0.22%	0.12%
36	0.12%	0.13%	0.11%	0.16%	0.21%	0.11%
35	0.11%	0.13%	0.1%	0.15%	0.2%	0.1%
34	0.11%	0.12%	0.09%	0.14%	0.2%	0.1%
33	0.1%	0.12%	0.09%	0.14%	0.19%	0.09%
32	0.1%	0.12%	0.09%	0.13%	0.18%	0.09%
31	0.1%	0.12%	0.09%	0.13%	0.18%	0.08%
30	0.1%	0.11%	0.09%	0.13%	0.17%	0.08%
29	0.09%	0.11%	0.08%	0.12%	0.17%	0.08%
28	0.09%	0.1%	0.08%	0.12%	0.17%	0.08%
27	0.08%	0.09%	0.07%	0.12%	0.16%	0.07%
26	0.08%	0.08%	0.07%	0.11%	0.16%	0.07%
25	0.07%	0.08%	0.07%	0.11%	0.16%	0.06%
24	0.07%	0.08%	0.07%	0.11%	0.15%	0.06%
23	0.08%	0.08%	0.07%	0.1%	0.15%	0.06%
22	0.08%	0.08%	0.07%	0.1%	0.14%	0.05%
21	0.08%	0.09%	0.08%	0.09%	0.13%	0.05%
20	0.09%	0.09%	0.09%	0.09%	0.12%	0.05%
19	0.09%	0.1%	0.09%	0.08%	0.11%	0.05%
18	0.1%	0.1%	0.09%	0.07%	0.1%	0.05%
17	0.09%	0.09%	0.09%	0.06%	0.08%	0.05%
16	0.09%	0.09%	0.09%	0.06%	0.07%	0.04%
15	0.08%	0.08%	0.08%	0.05%	0.06%	0.04%
14	0.07%	0.07%	0.07%	0.04%	0.05%	0.04%
13	0.06%	0.05%	0.06%	0.03%	0.04%	0.03%
12	0.05%	0.04%	0.05%	0.03%	0.03%	0.03%
11	0.04%	0.04%	0.04%	0.03%	0.03%	0.02%
10	0.04%	0.03%	0.04%	0.03%	0.03%	0.02%
9	0.04%	0.04%	0.04%	0.03%	0.03%	0.02%
8	0.05%	0.04%	0.05%	0.03%	0.03%	0.02%
7	0.06%	0.05%	0.06%	0.03%	0.03%	0.03%
6	0.07%	0.07%	0.07%	0.03%	0.04%	0.03%
5	0.08%	0.07%	0.08%	0.04%	0.04%	0.03%
4	0.07%	0.07%	0.08%	0.05%	0.05%	0.04%
3	0.06%	0.06%	0.07%	0.06%	0.06%	0.05%
2	0.07%	0.07%	0.07%	0.07%	0.07%	0.07%
1	0.18%	0.18%	0.17%	0.09%	0.09%	0.09%
0	1.53%	1.61%	1.44%	0.96%	1.09%	0.82%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.96% in Peru, 0.1% vs 0.13% at age 30, 1.12% vs 0.89% at 60, and 6.36% vs 4.84% at 80.

Death rate by age in Bangladesh vs Peru

Chart Table

Bangladesh

Male

Female

Peru

Male

Female

1x

Age	Death rate
	Bangladesh			Peru
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	861	438	1,286
99	504	274.2	753	1,128	706	1,555
98	698	414	1,006	1,377	916	1,843
97	924	588	1,288	1,637	1,153	2,129
96	1,175	796	1,587	1,903	1,412	2,404
95	1,440	1,030	1,887	2,168	1,686	2,662
94	1,718	1,287	2,186	2,426	1,968	2,897
93	1,995	1,557	2,471	2,657	2,239	3,086
92	2,264	1,828	2,735	2,851	2,487	3,223
91	2,514	2,095	2,969	3,008	2,704	3,316
90	2,738	2,353	3,155	3,136	2,892	3,381
89	2,932	2,596	3,297	3,228	3,053	3,400
88	3,093	2,815	3,394	3,283	3,179	3,380
87	3,217	3,003	3,447	3,303	3,261	3,336
86	3,301	3,148	3,465	3,290	3,303	3,266
85	3,347	3,247	3,451	3,247	3,307	3,177
84	3,355	3,299	3,412	3,181	3,277	3,076
83	3,331	3,310	3,348	3,094	3,218	2,964
82	3,279	3,289	3,261	2,991	3,134	2,844
81	3,205	3,246	3,153	2,875	3,032	2,718
80	3,114	3,189	3,027	2,751	2,918	2,586
79	3,015	3,128	2,889	2,624	2,801	2,451
78	2,903	3,054	2,742	2,495	2,679	2,315
77	2,781	2,966	2,589	2,365	2,554	2,181
76	2,649	2,862	2,434	2,235	2,427	2,049
75	2,510	2,740	2,281	2,106	2,299	1,920
74	2,374	2,605	2,137	1,981	2,170	1,797
73	2,238	2,458	1,998	1,855	2,036	1,678
72	2,099	2,301	1,868	1,730	1,900	1,563
71	1,961	2,138	1,748	1,607	1,763	1,453
70	1,826	1,974	1,638	1,489	1,631	1,349
69	1,697	1,817	1,540	1,382	1,511	1,253
68	1,574	1,674	1,445	1,284	1,405	1,163
67	1,463	1,551	1,351	1,197	1,314	1,080
66	1,364	1,452	1,255	1,121	1,237	1,002
65	1,278	1,382	1,154	1,053	1,172	932
64	1,206	1,339	1,052	993	1,115	868
63	1,143	1,310	953	938	1,061	810
62	1,085	1,285	861	885	1,006	758
61	1,028	1,253	781	832	950	709
60	968	1,203	714	781	892	663
59	906	1,138	659	730	833	620
58	841	1,059	615	679	775	577
57	778	975	577	630	720	535
56	718	892	545	583	667	495
55	664	814	516	540	618	457
54	615	743	490	499	571	422
53	570	679	464	461	528	391
52	526	618	437	427	488	362
51	482	560	406	395	451	337
50	437	503	371	366	417	313
49	391	448	334	340	386	291.4
48	347	396	296.7	316	359	270.6
47	307	349	263.5	293.9	336	250.6
46	272.6	308	235.8	274.1	316	231.3
45	244	272.8	214.7	256.3	299.3	212.8
44	221.8	243.8	200.3	240.1	284.6	195.3
43	204.5	219.6	190.2	225.7	271.7	179.3
42	190.1	199.2	181.9	212.7	260.3	165
41	177.1	181.7	173	201	249.7	152.2
40	164	166.5	161.7	190.3	239.8	140.9
39	149.7	153.1	146.8	180.2	230.1	130.5
38	135.6	141.5	130.4	170.8	220.7	121.3
37	123.1	132.1	115.1	162	211.6	112.9
36	112.9	124.8	102.4	153.8	202.9	105.4
35	105.6	119.7	93.2	146.4	194.8	98.9
34	101.3	116.7	87.9	139.8	187.2	93.4
33	99.2	115.2	85.6	134.1	180.5	88.9
32	98.3	114.1	85	129.5	174.8	85.4
31	97.4	112.5	84.9	125.8	170	82.6
30	95.3	109.1	84	122.7	166.1	80.1
29	90.9	103.1	81.1	119.9	162.9	77.5
28	85.2	95.6	76.8	117	160.1	74.3
27	79.3	88.1	72.3	114	157.5	70.6
26	74.5	81.9	68.5	110.7	154.8	66.4
25	71.7	78	66.4	107.3	151.9	62.2
24	71	76.7	66.2	103.7	148.2	58.5
23	73	78.2	68.4	100.1	143.4	55.7
22	76.9	81.7	72.4	96.1	137.1	53.9
21	81.9	86.3	77.8	91.6	129	53.1
20	87.2	90.9	83.5	86.3	118.9	52.7
19	91.1	93.9	88.3	80	106.9	52.1
18	92.8	94.5	91	72.4	93.3	50.7
17	91.4	92	90.8	63.9	79.3	48
16	86.6	86.2	87	55.1	65.9	44
15	78	77	79	47	54.3	39.3
14	66.5	65.4	67.8	39.9	45.1	34.6
13	54.3	53.3	55.5	34.4	38.3	30.4
12	44.1	43.2	45.1	30.4	33.7	27
11	37.7	36.8	38.7	27.8	30.9	24.6
10	34.4	33.5	35.3	26.7	29.9	23.3
9	36.2	35	37.5	26.7	30.2	23
8	44.9	42.8	47	27.7	31.7	23.5
7	56.8	53.6	60.1	29.8	34.4	25.2
6	67.8	63.8	72.1	33.5	38.4	28.3
5	74.1	69.7	78.7	38.9	44.1	33.5
4	71.7	67.9	75.7	46.4	51.5	41
3	61.4	58.9	63.9	56.3	61	51.4
2	70.1	68.9	71.4	69.4	73.1	65.5
1	172.9	175.4	170.2	86.7	88.7	84.5
0	1,530	1,613	1,443	955	1,086	819

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 87 in Peru. The median age of death is 79.7 in Bangladesh and 82.4 in Peru, 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 Peru more than their death rates.

Life expectancy in other countries

+ -

1x