Life Expectancy in Bangladesh vs Haiti (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Haiti

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Haiti
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.7	101.5	101.7
99	101.2	100.9	101.3	100.7	100.6	100.7
98	100.3	99.9	100.4	99.8	99.7	99.8
97	99.4	99.1	99.6	98.9	98.8	98.9
96	98.6	98.2	98.8	98	97.9	98
95	97.8	97.4	98	97.1	97	97.2
94	97	96.6	97.2	96.2	96.1	96.3
93	96.3	95.9	96.5	95.3	95.2	95.4
92	95.5	95.1	95.8	94.5	94.3	94.6
91	94.8	94.4	95.1	93.6	93.4	93.7
90	94.1	93.6	94.4	92.8	92.6	92.9
89	93.4	92.9	93.8	92	91.8	92.1
88	92.8	92.2	93.1	91.3	91	91.4
87	92.1	91.6	92.5	90.5	90.2	90.6
86	91.5	90.9	91.9	89.7	89.5	89.9
85	90.9	90.3	91.3	89	88.7	89.2
84	90.3	89.6	90.8	88.3	88	88.5
83	89.7	89	90.2	87.6	87.3	87.8
82	89.2	88.5	89.7	86.9	86.5	87.1
81	88.6	87.9	89.2	86.2	85.8	86.5
80	88.1	87.4	88.7	85.6	85.2	85.8
79	87.6	86.8	88.3	84.9	84.5	85.2
78	87.1	86.3	87.8	84.3	83.9	84.7
77	86.7	85.8	87.4	83.8	83.2	84.1
76	86.2	85.4	87	83.2	82.6	83.6
75	85.8	84.9	86.6	82.6	82	83.1
74	85.4	84.5	86.2	82.1	81.5	82.6
73	85	84	85.9	81.6	80.9	82.1
72	84.6	83.6	85.5	81.1	80.4	81.7
71	84.2	83.2	85.2	80.6	79.9	81.2
70	83.9	82.9	84.9	80.2	79.4	80.8
69	83.6	82.5	84.6	79.8	78.9	80.5
68	83.3	82.2	84.3	79.3	78.4	80.1
67	83	81.9	84	78.9	78	79.7
66	82.7	81.6	83.8	78.6	77.5	79.4
65	82.4	81.3	83.5	78.2	77.1	79.1
64	82.2	81.1	83.3	77.8	76.7	78.8
63	81.9	80.8	83.1	77.5	76.3	78.5
62	81.6	80.5	82.9	77.1	75.9	78.2
61	81.4	80.2	82.7	76.8	75.6	78
60	81.2	79.9	82.5	76.5	75.2	77.7
59	80.9	79.6	82.3	76.2	74.9	77.5
58	80.7	79.4	82.2	76	74.5	77.3
57	80.5	79.1	82	75.7	74.2	77
56	80.3	78.9	81.8	75.4	73.9	76.8
55	80.1	78.7	81.7	75.2	73.6	76.7
54	80	78.5	81.5	75	73.4	76.5
53	79.8	78.3	81.4	74.7	73.1	76.3
52	79.7	78.1	81.3	74.5	72.8	76.1
51	79.5	78	81.1	74.3	72.6	75.9
50	79.4	77.8	81	74.1	72.4	75.8
49	79.2	77.7	80.9	73.9	72.1	75.6
48	79.1	77.6	80.8	73.7	71.9	75.5
47	79	77.4	80.7	73.6	71.7	75.4
46	78.9	77.3	80.6	73.4	71.5	75.2
45	78.8	77.3	80.5	73.2	71.3	75.1
44	78.8	77.2	80.5	73.1	71.1	75
43	78.7	77.1	80.4	72.9	71	74.9
42	78.6	77	80.3	72.8	70.8	74.8
41	78.5	77	80.2	72.7	70.6	74.6
40	78.5	76.9	80.2	72.5	70.5	74.5
39	78.4	76.8	80.1	72.4	70.3	74.4
38	78.4	76.8	80.1	72.3	70.2	74.3
37	78.3	76.7	80	72.1	70	74.2
36	78.3	76.7	80	72	69.9	74.2
35	78.2	76.6	79.9	71.9	69.7	74.1
34	78.2	76.6	79.9	71.8	69.6	74
33	78.1	76.5	79.8	71.7	69.5	73.9
32	78.1	76.5	79.8	71.6	69.3	73.8
31	78	76.4	79.8	71.5	69.2	73.7
30	78	76.4	79.7	71.3	69.1	73.6
29	77.9	76.3	79.7	71.2	68.9	73.6
28	77.9	76.3	79.6	71.1	68.8	73.5
27	77.8	76.2	79.6	71	68.7	73.4
26	77.8	76.2	79.6	70.9	68.5	73.3
25	77.8	76.1	79.5	70.8	68.4	73.2
24	77.7	76.1	79.5	70.7	68.3	73.2
23	77.7	76	79.4	70.6	68.1	73.1
22	77.6	76	79.4	70.5	68	73
21	77.6	75.9	79.3	70.4	67.8	72.9
20	77.5	75.9	79.3	70.3	67.7	72.9
19	77.5	75.8	79.2	70.2	67.6	72.8
18	77.4	75.8	79.2	70.1	67.5	72.8
17	77.4	75.7	79.1	70	67.4	72.7
16	77.3	75.7	79.1	69.9	67.3	72.6
15	77.3	75.6	79	69.9	67.2	72.6
14	77.2	75.6	79	69.8	67.1	72.6
13	77.2	75.6	78.9	69.7	67	72.5
12	77.2	75.5	78.9	69.7	67	72.5
11	77.1	75.5	78.9	69.6	66.9	72.4
10	77.1	75.5	78.9	69.6	66.8	72.4
9	77.1	75.5	78.8	69.5	66.8	72.4
8	77.1	75.4	78.8	69.5	66.7	72.3
7	77	75.4	78.8	69.4	66.6	72.3
6	77	75.3	78.7	69.3	66.5	72.2
5	76.9	75.3	78.6	69.2	66.3	72.1
4	76.9	75.2	78.6	69.1	66.2	72
3	76.8	75.2	78.5	68.9	66	71.9
2	76.8	75.2	78.5	68.7	65.7	71.7
1	76.6	75	78.3	68.4	65.4	71.4
0	75.5	73.8	77.2	65.5	62.2	68.8

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 71.3 in Haiti, rising to 82.4 and 78.2 at 65, and to 88.1 and 85.6 at 80 — higher than the 75.5 and 65.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Haiti

Male

Female

1x

Age	Survival probability
	Bangladesh			Haiti
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.06%	0.02%	0.09%
99	1.37%	0.63%	2.15%	0.1%	0.04%	0.15%
98	2.06%	1.05%	3.16%	0.16%	0.08%	0.26%
97	2.99%	1.63%	4.44%	0.27%	0.13%	0.42%
96	4.16%	2.43%	6.03%	0.43%	0.22%	0.66%
95	5.6%	3.46%	7.92%	0.67%	0.35%	1.01%
94	7.32%	4.75%	10.1%	1.02%	0.55%	1.51%
93	9.32%	6.3%	12.6%	1.5%	0.85%	2.2%
92	11.6%	8.13%	15.3%	2.15%	1.26%	3.11%
91	14.1%	10.2%	18.3%	3%	1.81%	4.26%
90	16.8%	12.6%	21.4%	4.06%	2.52%	5.68%
89	19.8%	15.2%	24.7%	5.34%	3.42%	7.37%
88	22.9%	18%	28.1%	6.85%	4.51%	9.32%
87	26.1%	21%	31.6%	8.59%	5.79%	11.5%
86	29.4%	24.1%	35%	10.6%	7.28%	14%
85	32.7%	27.4%	38.5%	12.8%	8.98%	16.7%
84	36.1%	30.7%	41.9%	15.2%	10.9%	19.7%
83	39.4%	34%	45.2%	17.8%	13%	22.8%
82	42.7%	37.3%	48.5%	20.6%	15.3%	26.1%
81	45.9%	40.5%	51.7%	23.5%	17.7%	29.5%
80	49%	43.7%	54.7%	26.5%	20.3%	33%
79	52%	46.8%	57.6%	29.6%	22.9%	36.5%
78	54.9%	49.9%	60.3%	32.6%	25.7%	39.9%
77	57.7%	52.9%	62.9%	35.7%	28.5%	43.2%
76	60.4%	55.7%	65.3%	38.7%	31.3%	46.4%
75	62.9%	58.5%	67.6%	41.6%	34.1%	49.5%
74	65.2%	61.1%	69.8%	44.5%	36.9%	52.5%
73	67.5%	63.5%	71.8%	47.3%	39.6%	55.4%
72	69.6%	65.8%	73.6%	50%	42.3%	58.1%
71	71.5%	68%	75.4%	52.6%	44.9%	60.6%
70	73.4%	69.9%	77%	55%	47.5%	63%
69	75.1%	71.8%	78.6%	57.4%	49.9%	65.2%
68	76.6%	73.4%	80%	59.6%	52.2%	67.3%
67	78.1%	75%	81.4%	61.7%	54.5%	69.2%
66	79.5%	76.4%	82.6%	63.7%	56.7%	71%
65	80.7%	77.8%	83.8%	65.5%	58.7%	72.7%
64	81.9%	79.2%	84.8%	67.3%	60.7%	74.2%
63	83.1%	80.5%	85.8%	68.9%	62.6%	75.6%
62	84.2%	81.8%	86.6%	70.5%	64.4%	76.9%
61	85.2%	83%	87.4%	72%	66%	78.1%
60	86.2%	84.2%	88.1%	73.3%	67.6%	79.3%
59	87.1%	85.4%	88.8%	74.6%	69.1%	80.3%
58	87.9%	86.4%	89.4%	75.8%	70.5%	81.2%
57	88.7%	87.4%	90%	76.9%	71.8%	82.1%
56	89.4%	88.3%	90.5%	77.9%	73.1%	83%
55	90.1%	89.1%	91%	78.9%	74.2%	83.7%
54	90.7%	89.8%	91.5%	79.8%	75.3%	84.4%
53	91.3%	90.5%	92%	80.6%	76.3%	85.1%
52	91.8%	91.1%	92.4%	81.4%	77.3%	85.7%
51	92.3%	91.7%	92.8%	82.2%	78.2%	86.3%
50	92.7%	92.2%	93.2%	82.8%	79%	86.8%
49	93.1%	92.6%	93.5%	83.5%	79.8%	87.3%
48	93.4%	93%	93.8%	84.1%	80.5%	87.8%
47	93.8%	93.4%	94.1%	84.7%	81.2%	88.2%
46	94%	93.7%	94.3%	85.2%	81.9%	88.6%
45	94.3%	94%	94.5%	85.7%	82.5%	89%
44	94.5%	94.2%	94.7%	86.1%	83%	89.4%
43	94.7%	94.4%	94.9%	86.6%	83.6%	89.7%
42	94.9%	94.6%	95.1%	87%	84.1%	90%
41	95.1%	94.8%	95.3%	87.4%	84.6%	90.3%
40	95.2%	95%	95.5%	87.7%	85%	90.6%
39	95.4%	95.1%	95.6%	88.1%	85.4%	90.8%
38	95.5%	95.3%	95.7%	88.4%	85.8%	91.1%
37	95.6%	95.4%	95.8%	88.7%	86.2%	91.3%
36	95.7%	95.5%	95.9%	89%	86.6%	91.6%
35	95.9%	95.6%	96%	89.3%	87%	91.8%
34	96%	95.8%	96.1%	89.6%	87.3%	92%
33	96.1%	95.9%	96.2%	89.9%	87.6%	92.2%
32	96.2%	96%	96.3%	90.1%	88%	92.4%
31	96.3%	96.1%	96.4%	90.4%	88.3%	92.5%
30	96.3%	96.2%	96.5%	90.6%	88.6%	92.7%
29	96.4%	96.3%	96.5%	90.8%	88.8%	92.9%
28	96.5%	96.4%	96.6%	91.1%	89.1%	93.1%
27	96.6%	96.5%	96.7%	91.3%	89.4%	93.2%
26	96.7%	96.6%	96.8%	91.5%	89.7%	93.4%
25	96.7%	96.7%	96.8%	91.7%	90%	93.5%
24	96.8%	96.7%	96.9%	91.9%	90.3%	93.7%
23	96.9%	96.8%	97%	92.2%	90.6%	93.8%
22	97%	96.9%	97%	92.4%	90.8%	93.9%
21	97%	97%	97.1%	92.6%	91.1%	94.1%
20	97.1%	97.1%	97.2%	92.8%	91.4%	94.2%
19	97.2%	97.2%	97.3%	92.9%	91.6%	94.3%
18	97.3%	97.3%	97.4%	93.1%	91.8%	94.4%
17	97.4%	97.4%	97.5%	93.2%	92%	94.5%
16	97.5%	97.4%	97.6%	93.4%	92.2%	94.6%
15	97.6%	97.5%	97.6%	93.5%	92.3%	94.7%
14	97.6%	97.6%	97.7%	93.6%	92.5%	94.8%
13	97.7%	97.6%	97.8%	93.7%	92.6%	94.8%
12	97.7%	97.7%	97.8%	93.8%	92.7%	94.9%
11	97.8%	97.7%	97.8%	93.9%	92.8%	94.9%
10	97.8%	97.8%	97.9%	93.9%	92.9%	95%
9	97.9%	97.8%	97.9%	94%	93.1%	95%
8	97.9%	97.8%	98%	94.1%	93.2%	95.1%
7	98%	97.9%	98%	94.2%	93.3%	95.2%
6	98%	97.9%	98.1%	94.4%	93.5%	95.3%
5	98.1%	98%	98.2%	94.5%	93.7%	95.4%
4	98.2%	98.1%	98.3%	94.7%	94%	95.5%
3	98.2%	98.1%	98.3%	95%	94.2%	95.7%
2	98.3%	98.2%	98.4%	95.3%	94.6%	96%
1	98.5%	98.4%	98.6%	95.7%	95.1%	96.4%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 73.3% in Haiti are expected to live past 60, 73.4% and 55% past 70, 49% and 26.5% past 80, and only 16.8% and 4.06% 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

Haiti

Male

Female

1x

Age	Probability of dying
	Bangladesh			Haiti
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	44.5%	47.6%	44.4%
99	36.9%	43.4%	35%	42.8%	45.7%	42.6%
98	33.8%	39.5%	31.9%	41%	43.9%	40.6%
97	30.9%	36%	29%	39.2%	42%	38.6%
96	28.2%	32.7%	26.3%	37.5%	40.2%	36.7%
95	25.7%	29.8%	23.8%	35.7%	38.4%	34.9%
94	23.5%	27.1%	21.6%	34%	36.5%	33%
93	21.4%	24.7%	19.6%	32.1%	34.6%	31.2%
92	19.5%	22.5%	17.9%	30.2%	32.6%	29.2%
91	17.8%	20.5%	16.2%	28.2%	30.5%	27.1%
90	16.3%	18.7%	14.7%	26.1%	28.3%	25%
89	14.8%	17.1%	13.3%	24%	26.2%	22.9%
88	13.5%	15.6%	12.1%	22%	24.1%	20.9%
87	12.3%	14.3%	10.9%	20.3%	22.2%	19.2%
86	11.2%	13%	9.89%	18.7%	20.5%	17.6%
85	10.2%	11.9%	8.97%	17.2%	18.9%	16.2%
84	9.3%	10.8%	8.14%	15.9%	17.5%	15%
83	8.45%	9.74%	7.4%	14.7%	16.2%	13.8%
82	7.68%	8.82%	6.72%	13.6%	14.9%	12.7%
81	6.98%	8.01%	6.1%	12.4%	13.8%	11.6%
80	6.36%	7.29%	5.53%	11.4%	12.7%	10.5%
79	5.8%	6.68%	5.02%	10.3%	11.6%	9.47%
78	5.29%	6.12%	4.54%	9.39%	10.7%	8.53%
77	4.82%	5.61%	4.11%	8.54%	9.8%	7.69%
76	4.39%	5.14%	3.73%	7.78%	8.99%	6.94%
75	3.99%	4.69%	3.37%	7.09%	8.24%	6.28%
74	3.64%	4.27%	3.06%	6.47%	7.55%	5.69%
73	3.32%	3.87%	2.78%	5.91%	6.93%	5.16%
72	3.02%	3.49%	2.54%	5.39%	6.35%	4.66%
71	2.74%	3.15%	2.32%	4.91%	5.82%	4.21%
70	2.49%	2.82%	2.13%	4.47%	5.34%	3.79%
69	2.26%	2.53%	1.96%	4.07%	4.9%	3.41%
68	2.05%	2.28%	1.81%	3.72%	4.5%	3.08%
67	1.87%	2.07%	1.66%	3.39%	4.14%	2.78%
66	1.72%	1.9%	1.52%	3.11%	3.82%	2.51%
65	1.58%	1.78%	1.38%	2.85%	3.52%	2.28%
64	1.47%	1.69%	1.24%	2.61%	3.25%	2.07%
63	1.38%	1.63%	1.11%	2.4%	3%	1.88%
62	1.29%	1.57%	0.99%	2.2%	2.76%	1.71%
61	1.21%	1.51%	0.89%	2.02%	2.54%	1.55%
60	1.12%	1.43%	0.81%	1.85%	2.34%	1.41%
59	1.04%	1.33%	0.74%	1.7%	2.15%	1.29%
58	0.96%	1.23%	0.69%	1.56%	1.98%	1.18%
57	0.88%	1.12%	0.64%	1.44%	1.83%	1.08%
56	0.8%	1.01%	0.6%	1.33%	1.69%	0.99%
55	0.74%	0.91%	0.57%	1.23%	1.56%	0.92%
54	0.68%	0.83%	0.54%	1.14%	1.44%	0.85%
53	0.62%	0.75%	0.5%	1.05%	1.34%	0.78%
52	0.57%	0.68%	0.47%	0.97%	1.24%	0.72%
51	0.52%	0.61%	0.44%	0.9%	1.14%	0.67%
50	0.47%	0.55%	0.4%	0.83%	1.06%	0.62%
49	0.42%	0.48%	0.36%	0.77%	0.98%	0.57%
48	0.37%	0.43%	0.32%	0.72%	0.91%	0.53%
47	0.33%	0.37%	0.28%	0.66%	0.84%	0.49%
46	0.29%	0.33%	0.25%	0.62%	0.79%	0.45%
45	0.26%	0.29%	0.23%	0.58%	0.73%	0.42%
44	0.23%	0.26%	0.21%	0.54%	0.69%	0.39%
43	0.22%	0.23%	0.2%	0.5%	0.64%	0.37%
42	0.2%	0.21%	0.19%	0.47%	0.6%	0.34%
41	0.19%	0.19%	0.18%	0.44%	0.57%	0.32%
40	0.17%	0.18%	0.17%	0.42%	0.53%	0.3%
39	0.16%	0.16%	0.15%	0.39%	0.5%	0.29%
38	0.14%	0.15%	0.14%	0.37%	0.47%	0.27%
37	0.13%	0.14%	0.12%	0.35%	0.45%	0.26%
36	0.12%	0.13%	0.11%	0.34%	0.43%	0.25%
35	0.11%	0.13%	0.1%	0.32%	0.41%	0.23%
34	0.11%	0.12%	0.09%	0.31%	0.39%	0.22%
33	0.1%	0.12%	0.09%	0.29%	0.38%	0.21%
32	0.1%	0.12%	0.09%	0.28%	0.36%	0.21%
31	0.1%	0.12%	0.09%	0.27%	0.35%	0.2%
30	0.1%	0.11%	0.09%	0.26%	0.34%	0.19%
29	0.09%	0.11%	0.08%	0.25%	0.33%	0.18%
28	0.09%	0.1%	0.08%	0.25%	0.32%	0.18%
27	0.08%	0.09%	0.07%	0.24%	0.32%	0.17%
26	0.08%	0.08%	0.07%	0.24%	0.32%	0.17%
25	0.07%	0.08%	0.07%	0.24%	0.32%	0.16%
24	0.07%	0.08%	0.07%	0.24%	0.32%	0.16%
23	0.08%	0.08%	0.07%	0.23%	0.31%	0.15%
22	0.08%	0.08%	0.07%	0.23%	0.31%	0.14%
21	0.08%	0.09%	0.08%	0.22%	0.3%	0.14%
20	0.09%	0.09%	0.09%	0.21%	0.28%	0.13%
19	0.09%	0.1%	0.09%	0.19%	0.26%	0.12%
18	0.1%	0.1%	0.09%	0.17%	0.23%	0.11%
17	0.09%	0.09%	0.09%	0.16%	0.21%	0.1%
16	0.09%	0.09%	0.09%	0.14%	0.19%	0.09%
15	0.08%	0.08%	0.08%	0.12%	0.16%	0.08%
14	0.07%	0.07%	0.07%	0.11%	0.15%	0.08%
13	0.06%	0.05%	0.06%	0.1%	0.13%	0.07%
12	0.05%	0.04%	0.05%	0.09%	0.13%	0.06%
11	0.04%	0.04%	0.04%	0.09%	0.12%	0.06%
10	0.04%	0.03%	0.04%	0.09%	0.12%	0.06%
9	0.04%	0.04%	0.04%	0.1%	0.13%	0.06%
8	0.05%	0.04%	0.05%	0.1%	0.14%	0.06%
7	0.06%	0.05%	0.06%	0.12%	0.16%	0.07%
6	0.07%	0.07%	0.07%	0.14%	0.18%	0.09%
5	0.08%	0.07%	0.08%	0.16%	0.21%	0.11%
4	0.07%	0.07%	0.08%	0.21%	0.26%	0.15%
3	0.06%	0.06%	0.07%	0.26%	0.31%	0.21%
2	0.07%	0.07%	0.07%	0.34%	0.38%	0.3%
1	0.18%	0.18%	0.17%	0.45%	0.47%	0.44%
0	1.53%	1.61%	1.44%	4.26%	4.95%	3.56%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 4.26% in Haiti, 0.1% vs 0.26% at age 30, 1.12% vs 1.85% at 60, and 6.36% vs 11.4% at 80.

Death rate by age in Bangladesh vs Haiti

Chart Table

Bangladesh

Male

Female

Haiti

Male

Female

1x

Age	Death rate
	Bangladesh			Haiti
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	0
99	504	274.2	753	41.5	19.3	64.9
98	698	414	1,006	67.4	33	104.1
97	924	588	1,288	106.1	54.5	161.4
96	1,175	796	1,587	162.3	87.2	242.6
95	1,440	1,030	1,887	240.8	135.1	354
94	1,718	1,287	2,186	347	202.5	501
93	1,995	1,557	2,471	483	293.4	686
92	2,264	1,828	2,735	651	410	907
91	2,514	2,095	2,969	844	551	1,155
90	2,738	2,353	3,155	1,057	715	1,419
89	2,932	2,596	3,297	1,281	895	1,687
88	3,093	2,815	3,394	1,509	1,087	1,952
87	3,217	3,003	3,447	1,739	1,286	2,212
86	3,301	3,148	3,465	1,969	1,491	2,467
85	3,347	3,247	3,451	2,196	1,697	2,715
84	3,355	3,299	3,412	2,415	1,901	2,948
83	3,331	3,310	3,348	2,617	2,097	3,153
82	3,279	3,289	3,261	2,789	2,278	3,314
81	3,205	3,246	3,153	2,922	2,437	3,418
80	3,114	3,189	3,027	3,011	2,569	3,462
79	3,015	3,128	2,889	3,054	2,672	3,452
78	2,903	3,054	2,742	3,062	2,745	3,400
77	2,781	2,966	2,589	3,045	2,790	3,320
76	2,649	2,862	2,434	3,007	2,810	3,222
75	2,510	2,740	2,281	2,952	2,808	3,111
74	2,374	2,605	2,137	2,881	2,785	2,988
73	2,238	2,458	1,998	2,795	2,744	2,854
72	2,099	2,301	1,868	2,694	2,686	2,707
71	1,961	2,138	1,748	2,582	2,615	2,551
70	1,826	1,974	1,638	2,462	2,534	2,390
69	1,697	1,817	1,540	2,338	2,445	2,227
68	1,574	1,674	1,445	2,214	2,352	2,070
67	1,463	1,551	1,351	2,094	2,258	1,922
66	1,364	1,452	1,255	1,978	2,163	1,783
65	1,278	1,382	1,154	1,867	2,069	1,654
64	1,206	1,339	1,052	1,759	1,973	1,533
63	1,143	1,310	953	1,654	1,876	1,420
62	1,085	1,285	861	1,552	1,778	1,313
61	1,028	1,253	781	1,453	1,680	1,213
60	968	1,203	714	1,358	1,583	1,120
59	906	1,138	659	1,268	1,489	1,033
58	841	1,059	615	1,184	1,399	955
57	778	975	577	1,106	1,314	885
56	718	892	545	1,034	1,234	822
55	664	814	516	968	1,159	766
54	615	743	490	907	1,087	714
53	570	679	464	848	1,020	666
52	526	618	437	793	955	621
51	482	560	406	741	893	579
50	437	503	371	691	835	539
49	391	448	334	645	781	501
48	347	396	296.7	602	730	466
47	307	349	263.5	562	685	433
46	272.6	308	235.8	527	643	403
45	244	272.8	214.7	494	606	376
44	221.8	243.8	200.3	464	571	352
43	204.5	219.6	190.2	437	538	330
42	190.1	199.2	181.9	411	508	310
41	177.1	181.7	173	388	480	292.2
40	164	166.5	161.7	367	454	276.2
39	149.7	153.1	146.8	347	429	261.7
38	135.6	141.5	130.4	330	408	248.6
37	123.1	132.1	115.1	314	388	236.6
36	112.9	124.8	102.4	299.7	371	225.5
35	105.6	119.7	93.2	286.9	356	215.3
34	101.3	116.7	87.9	275.3	342	206
33	99.2	115.2	85.6	264.6	329	197.4
32	98.3	114.1	85	254.8	317	189.5
31	97.4	112.5	84.9	245.8	307	182.3
30	95.3	109.1	84	237.8	297.8	175.6
29	90.9	103.1	81.1	231.3	290.8	169.6
28	85.2	95.6	76.8	226.3	286.2	164.2
27	79.3	88.1	72.3	222.7	284	159.1
26	74.5	81.9	68.5	220.3	284	154.4
25	71.7	78	66.4	218.7	285.2	149.8
24	71	76.7	66.2	217	286.1	145.4
23	73	78.2	68.4	214.1	284.9	140.7
22	76.9	81.7	72.4	209.3	280.2	135.7
21	81.9	86.3	77.8	201.6	270.5	130
20	87.2	90.9	83.5	190.9	255.7	123.5
19	91.1	93.9	88.3	177.5	236.8	116
18	92.8	94.5	91	162.3	215.1	107.5
17	91.4	92	90.8	146.4	192.7	98.3
16	86.6	86.2	87	130.8	171.3	88.8
15	78	77	79	116.6	152.1	79.7
14	66.5	65.4	67.8	104.6	136.4	71.6
13	54.3	53.3	55.5	95.3	124.8	64.8
12	44.1	43.2	45.1	89	117.4	59.6
11	37.7	36.8	38.7	85.8	114.4	56.3
10	34.4	33.5	35.3	85.9	115.5	55.2
9	36.2	35	37.5	89.4	121.1	56.6
8	44.9	42.8	47	96.9	131.5	61.1
7	56.8	53.6	60.1	109.4	147.4	70.1
6	67.8	63.8	72.1	128.3	170	85.2
5	74.1	69.7	78.7	155.9	200.7	109.4
4	71.7	67.9	75.7	195.2	241.3	147.3
3	61.4	58.9	63.9	250.4	294	205.2
2	70.1	68.9	71.4	327	361	292.3
1	172.9	175.4	170.2	434	446	421
0	1,530	1,613	1,443	4,265	4,948	3,563

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 0 in Haiti. The median age of death is 79.7 in Bangladesh and 72 in Haiti, 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 Haiti more than their death rates.

Life expectancy in other countries

+ -

1x