Life Expectancy in Bangladesh vs Saint Vincent (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Saint Vincent

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Saint Vincent
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.9	101.8	102
99	101.2	100.9	101.3	101	100.9	101.1
98	100.3	99.9	100.4	100.1	100	100.1
97	99.4	99.1	99.6	99.2	99.1	99.3
96	98.6	98.2	98.8	98.4	98.3	98.4
95	97.8	97.4	98	97.5	97.4	97.5
94	97	96.6	97.2	96.6	96.5	96.7
93	96.3	95.9	96.5	95.8	95.7	95.9
92	95.5	95.1	95.8	95	94.8	95.1
91	94.8	94.4	95.1	94.2	94	94.3
90	94.1	93.6	94.4	93.4	93.2	93.6
89	93.4	92.9	93.8	92.7	92.4	92.8
88	92.8	92.2	93.1	91.9	91.7	92.1
87	92.1	91.6	92.5	91.2	90.9	91.4
86	91.5	90.9	91.9	90.5	90.2	90.7
85	90.9	90.3	91.3	89.8	89.4	90.1
84	90.3	89.6	90.8	89.1	88.7	89.4
83	89.7	89	90.2	88.5	88	88.8
82	89.2	88.5	89.7	87.8	87.3	88.2
81	88.6	87.9	89.2	87.2	86.7	87.7
80	88.1	87.4	88.7	86.6	86	87.1
79	87.6	86.8	88.3	86	85.4	86.6
78	87.1	86.3	87.8	85.5	84.8	86.1
77	86.7	85.8	87.4	85	84.2	85.6
76	86.2	85.4	87	84.4	83.6	85.2
75	85.8	84.9	86.6	83.9	83.1	84.8
74	85.4	84.5	86.2	83.5	82.5	84.4
73	85	84	85.9	83	82	84
72	84.6	83.6	85.5	82.6	81.5	83.6
71	84.2	83.2	85.2	82.1	81	83.2
70	83.9	82.9	84.9	81.7	80.5	82.9
69	83.6	82.5	84.6	81.3	80.1	82.6
68	83.3	82.2	84.3	80.9	79.6	82.3
67	83	81.9	84	80.6	79.2	82
66	82.7	81.6	83.8	80.2	78.8	81.7
65	82.4	81.3	83.5	79.9	78.4	81.5
64	82.2	81.1	83.3	79.5	78	81.2
63	81.9	80.8	83.1	79.2	77.7	81
62	81.6	80.5	82.9	78.9	77.3	80.7
61	81.4	80.2	82.7	78.6	77	80.5
60	81.2	79.9	82.5	78.3	76.6	80.3
59	80.9	79.6	82.3	78.1	76.3	80.1
58	80.7	79.4	82.2	77.8	76	79.9
57	80.5	79.1	82	77.6	75.7	79.7
56	80.3	78.9	81.8	77.3	75.5	79.5
55	80.1	78.7	81.7	77.1	75.2	79.3
54	80	78.5	81.5	76.9	74.9	79.1
53	79.8	78.3	81.4	76.7	74.7	79
52	79.7	78.1	81.3	76.5	74.5	78.8
51	79.5	78	81.1	76.3	74.3	78.6
50	79.4	77.8	81	76.1	74.1	78.5
49	79.2	77.7	80.9	76	74	78.3
48	79.1	77.6	80.8	75.8	73.8	78.2
47	79	77.4	80.7	75.7	73.7	78
46	78.9	77.3	80.6	75.5	73.5	77.9
45	78.8	77.3	80.5	75.4	73.4	77.8
44	78.8	77.2	80.5	75.3	73.2	77.7
43	78.7	77.1	80.4	75.1	73.1	77.6
42	78.6	77	80.3	75	72.9	77.5
41	78.5	77	80.2	74.9	72.8	77.4
40	78.5	76.9	80.2	74.8	72.6	77.3
39	78.4	76.8	80.1	74.7	72.5	77.2
38	78.4	76.8	80.1	74.6	72.4	77.1
37	78.3	76.7	80	74.5	72.3	77
36	78.3	76.7	80	74.4	72.2	76.9
35	78.2	76.6	79.9	74.3	72.1	76.9
34	78.2	76.6	79.9	74.2	72	76.8
33	78.1	76.5	79.8	74.1	71.9	76.7
32	78.1	76.5	79.8	74	71.7	76.7
31	78	76.4	79.8	73.9	71.6	76.6
30	78	76.4	79.7	73.8	71.5	76.6
29	77.9	76.3	79.7	73.7	71.4	76.5
28	77.9	76.3	79.6	73.6	71.3	76.5
27	77.8	76.2	79.6	73.6	71.2	76.4
26	77.8	76.2	79.6	73.5	71.1	76.3
25	77.8	76.1	79.5	73.4	71	76.3
24	77.7	76.1	79.5	73.4	70.9	76.3
23	77.7	76	79.4	73.3	70.8	76.2
22	77.6	76	79.4	73.2	70.7	76.2
21	77.6	75.9	79.3	73.2	70.7	76.2
20	77.5	75.9	79.3	73.1	70.6	76.1
19	77.5	75.8	79.2	73	70.5	76.1
18	77.4	75.8	79.2	73	70.4	76
17	77.4	75.7	79.1	72.9	70.3	76
16	77.3	75.7	79.1	72.9	70.3	76
15	77.3	75.6	79	72.8	70.2	75.9
14	77.2	75.6	79	72.8	70.2	75.9
13	77.2	75.6	78.9	72.8	70.1	75.9
12	77.2	75.5	78.9	72.7	70.1	75.9
11	77.1	75.5	78.9	72.7	70.1	75.8
10	77.1	75.5	78.9	72.7	70.1	75.8
9	77.1	75.5	78.8	72.7	70.1	75.8
8	77.1	75.4	78.8	72.7	70	75.8
7	77	75.4	78.8	72.7	70	75.8
6	77	75.3	78.7	72.6	70	75.8
5	76.9	75.3	78.6	72.6	70	75.7
4	76.9	75.2	78.6	72.6	69.9	75.7
3	76.8	75.2	78.5	72.6	69.9	75.7
2	76.8	75.2	78.5	72.5	69.9	75.7
1	76.6	75	78.3	72.5	69.9	75.6
0	75.5	73.8	77.2	71.7	69	74.8

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 73.8 in Saint Vincent, rising to 82.4 and 79.9 at 65, and to 88.1 and 86.6 at 80 — higher than the 75.5 and 71.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Saint Vincent

Male

Female

1x

Age	Survival probability
	Bangladesh			Saint Vincent
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.25%	0.13%	0.41%
99	1.37%	0.63%	2.15%	0.41%	0.22%	0.66%
98	2.06%	1.05%	3.16%	0.64%	0.34%	1.02%
97	2.99%	1.63%	4.44%	0.96%	0.53%	1.54%
96	4.16%	2.43%	6.03%	1.42%	0.8%	2.24%
95	5.6%	3.46%	7.92%	2.03%	1.16%	3.17%
94	7.32%	4.75%	10.1%	2.82%	1.65%	4.36%
93	9.32%	6.3%	12.6%	3.83%	2.3%	5.85%
92	11.6%	8.13%	15.3%	5.08%	3.12%	7.66%
91	14.1%	10.2%	18.3%	6.57%	4.13%	9.78%
90	16.8%	12.6%	21.4%	8.32%	5.34%	12.2%
89	19.8%	15.2%	24.7%	10.3%	6.78%	15%
88	22.9%	18%	28.1%	12.6%	8.43%	18%
87	26.1%	21%	31.6%	15.1%	10.3%	21.2%
86	29.4%	24.1%	35%	17.8%	12.4%	24.6%
85	32.7%	27.4%	38.5%	20.6%	14.7%	28.2%
84	36.1%	30.7%	41.9%	23.6%	17.2%	31.8%
83	39.4%	34%	45.2%	26.7%	19.8%	35.5%
82	42.7%	37.3%	48.5%	29.9%	22.6%	39.1%
81	45.9%	40.5%	51.7%	33.1%	25.5%	42.7%
80	49%	43.7%	54.7%	36.4%	28.4%	46.1%
79	52%	46.8%	57.6%	39.6%	31.5%	49.5%
78	54.9%	49.9%	60.3%	42.7%	34.5%	52.7%
77	57.7%	52.9%	62.9%	45.8%	37.5%	55.8%
76	60.4%	55.7%	65.3%	48.8%	40.5%	58.7%
75	62.9%	58.5%	67.6%	51.6%	43.5%	61.4%
74	65.2%	61.1%	69.8%	54.4%	46.4%	63.9%
73	67.5%	63.5%	71.8%	57%	49.3%	66.3%
72	69.6%	65.8%	73.6%	59.6%	52.1%	68.5%
71	71.5%	68%	75.4%	62%	54.8%	70.5%
70	73.4%	69.9%	77%	64.3%	57.3%	72.4%
69	75.1%	71.8%	78.6%	66.4%	59.8%	74.2%
68	76.6%	73.4%	80%	68.5%	62.2%	75.8%
67	78.1%	75%	81.4%	70.4%	64.5%	77.3%
66	79.5%	76.4%	82.6%	72.3%	66.6%	78.7%
65	80.7%	77.8%	83.8%	74%	68.7%	80.1%
64	81.9%	79.2%	84.8%	75.6%	70.6%	81.3%
63	83.1%	80.5%	85.8%	77.1%	72.5%	82.4%
62	84.2%	81.8%	86.6%	78.6%	74.2%	83.5%
61	85.2%	83%	87.4%	79.9%	75.8%	84.5%
60	86.2%	84.2%	88.1%	81.2%	77.4%	85.4%
59	87.1%	85.4%	88.8%	82.3%	78.8%	86.3%
58	87.9%	86.4%	89.4%	83.5%	80.2%	87.1%
57	88.7%	87.4%	90%	84.5%	81.4%	87.9%
56	89.4%	88.3%	90.5%	85.5%	82.6%	88.6%
55	90.1%	89.1%	91%	86.4%	83.7%	89.2%
54	90.7%	89.8%	91.5%	87.2%	84.7%	89.8%
53	91.3%	90.5%	92%	88%	85.7%	90.4%
52	91.8%	91.1%	92.4%	88.7%	86.5%	91%
51	92.3%	91.7%	92.8%	89.4%	87.3%	91.6%
50	92.7%	92.2%	93.2%	89.9%	87.9%	92.1%
49	93.1%	92.6%	93.5%	90.5%	88.5%	92.6%
48	93.4%	93%	93.8%	91%	89%	93.1%
47	93.8%	93.4%	94.1%	91.4%	89.4%	93.6%
46	94%	93.7%	94.3%	91.9%	89.9%	93.9%
45	94.3%	94%	94.5%	92.2%	90.4%	94.3%
44	94.5%	94.2%	94.7%	92.6%	90.9%	94.6%
43	94.7%	94.4%	94.9%	93%	91.3%	94.8%
42	94.9%	94.6%	95.1%	93.4%	91.8%	95.1%
41	95.1%	94.8%	95.3%	93.7%	92.3%	95.3%
40	95.2%	95%	95.5%	94%	92.7%	95.5%
39	95.4%	95.1%	95.6%	94.3%	93%	95.8%
38	95.5%	95.3%	95.7%	94.6%	93.3%	96%
37	95.6%	95.4%	95.8%	94.9%	93.6%	96.2%
36	95.7%	95.5%	95.9%	95.1%	93.9%	96.4%
35	95.9%	95.6%	96%	95.3%	94.2%	96.6%
34	96%	95.8%	96.1%	95.5%	94.4%	96.7%
33	96.1%	95.9%	96.2%	95.7%	94.7%	96.9%
32	96.2%	96%	96.3%	96%	95%	97%
31	96.3%	96.1%	96.4%	96.2%	95.3%	97.1%
30	96.3%	96.2%	96.5%	96.4%	95.6%	97.2%
29	96.4%	96.3%	96.5%	96.6%	95.9%	97.4%
28	96.5%	96.4%	96.6%	96.8%	96.1%	97.5%
27	96.6%	96.5%	96.7%	97%	96.4%	97.6%
26	96.7%	96.6%	96.8%	97.1%	96.5%	97.7%
25	96.7%	96.7%	96.8%	97.2%	96.7%	97.8%
24	96.8%	96.7%	96.9%	97.4%	96.9%	97.8%
23	96.9%	96.8%	97%	97.5%	97.1%	97.9%
22	97%	96.9%	97%	97.6%	97.2%	98%
21	97%	97%	97.1%	97.7%	97.4%	98%
20	97.1%	97.1%	97.2%	97.8%	97.5%	98.1%
19	97.2%	97.2%	97.3%	97.9%	97.7%	98.2%
18	97.3%	97.3%	97.4%	98.1%	97.9%	98.3%
17	97.4%	97.4%	97.5%	98.2%	98%	98.3%
16	97.5%	97.4%	97.6%	98.2%	98.1%	98.4%
15	97.6%	97.5%	97.6%	98.3%	98.2%	98.4%
14	97.6%	97.6%	97.7%	98.4%	98.3%	98.5%
13	97.7%	97.6%	97.8%	98.4%	98.3%	98.5%
12	97.7%	97.7%	97.8%	98.5%	98.4%	98.5%
11	97.8%	97.7%	97.8%	98.5%	98.4%	98.6%
10	97.8%	97.8%	97.9%	98.5%	98.5%	98.6%
9	97.9%	97.8%	97.9%	98.6%	98.5%	98.6%
8	97.9%	97.8%	98%	98.6%	98.5%	98.7%
7	98%	97.9%	98%	98.6%	98.5%	98.7%
6	98%	97.9%	98.1%	98.6%	98.6%	98.7%
5	98.1%	98%	98.2%	98.7%	98.6%	98.7%
4	98.2%	98.1%	98.3%	98.7%	98.6%	98.7%
3	98.2%	98.1%	98.3%	98.7%	98.7%	98.8%
2	98.3%	98.2%	98.4%	98.8%	98.7%	98.8%
1	98.5%	98.4%	98.6%	98.8%	98.8%	98.9%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 81.2% in Saint Vincent are expected to live past 60, 73.4% and 64.3% past 70, 49% and 36.4% past 80, and only 16.8% and 8.32% 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

Saint Vincent

Male

Female

1x

Age	Probability of dying
	Bangladesh			Saint Vincent
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	39.8%	40.6%	39.5%
99	36.9%	43.4%	35%	37.9%	38.8%	37.5%
98	33.8%	39.5%	31.9%	35.9%	37%	35.4%
97	30.9%	36%	29%	34%	35.2%	33.4%
96	28.2%	32.7%	26.3%	32%	33.4%	31.4%
95	25.7%	29.8%	23.8%	30.1%	31.6%	29.4%
94	23.5%	27.1%	21.6%	28.2%	29.8%	27.4%
93	21.4%	24.7%	19.6%	26.4%	28%	25.4%
92	19.5%	22.5%	17.9%	24.5%	26.2%	23.5%
91	17.8%	20.5%	16.2%	22.7%	24.5%	21.7%
90	16.3%	18.7%	14.7%	21.1%	22.8%	20%
89	14.8%	17.1%	13.3%	19.5%	21.2%	18.3%
88	13.5%	15.6%	12.1%	18%	19.6%	16.8%
87	12.3%	14.3%	10.9%	16.5%	18.2%	15.3%
86	11.2%	13%	9.89%	15.1%	16.9%	13.9%
85	10.2%	11.9%	8.97%	13.9%	15.6%	12.6%
84	9.3%	10.8%	8.14%	12.7%	14.4%	11.4%
83	8.45%	9.74%	7.4%	11.6%	13.3%	10.3%
82	7.68%	8.82%	6.72%	10.6%	12.3%	9.27%
81	6.98%	8.01%	6.1%	9.7%	11.3%	8.36%
80	6.36%	7.29%	5.53%	8.87%	10.4%	7.53%
79	5.8%	6.68%	5.02%	8.1%	9.58%	6.78%
78	5.29%	6.12%	4.54%	7.37%	8.81%	6.1%
77	4.82%	5.61%	4.11%	6.68%	8.1%	5.48%
76	4.39%	5.14%	3.73%	6.08%	7.44%	4.92%
75	3.99%	4.69%	3.37%	5.57%	6.84%	4.42%
74	3.64%	4.27%	3.06%	5.09%	6.29%	3.96%
73	3.32%	3.87%	2.78%	4.64%	5.79%	3.57%
72	3.02%	3.49%	2.54%	4.24%	5.33%	3.21%
71	2.74%	3.15%	2.32%	3.89%	4.9%	2.9%
70	2.49%	2.82%	2.13%	3.56%	4.51%	2.63%
69	2.26%	2.53%	1.96%	3.26%	4.15%	2.38%
68	2.05%	2.28%	1.81%	3%	3.82%	2.16%
67	1.87%	2.07%	1.66%	2.75%	3.52%	1.96%
66	1.72%	1.9%	1.52%	2.52%	3.24%	1.78%
65	1.58%	1.78%	1.38%	2.32%	2.99%	1.64%
64	1.47%	1.69%	1.24%	2.15%	2.75%	1.51%
63	1.38%	1.63%	1.11%	1.99%	2.54%	1.4%
62	1.29%	1.57%	0.99%	1.83%	2.34%	1.29%
61	1.21%	1.51%	0.89%	1.68%	2.15%	1.19%
60	1.12%	1.43%	0.81%	1.55%	1.98%	1.09%
59	1.04%	1.33%	0.74%	1.43%	1.83%	1.01%
58	0.96%	1.23%	0.69%	1.33%	1.68%	0.93%
57	0.88%	1.12%	0.64%	1.23%	1.55%	0.86%
56	0.8%	1.01%	0.6%	1.13%	1.43%	0.79%
55	0.74%	0.91%	0.57%	1.04%	1.32%	0.73%
54	0.68%	0.83%	0.54%	0.96%	1.21%	0.67%
53	0.62%	0.75%	0.5%	0.89%	1.12%	0.65%
52	0.57%	0.68%	0.47%	0.82%	0.99%	0.63%
51	0.52%	0.61%	0.44%	0.73%	0.85%	0.61%
50	0.47%	0.55%	0.4%	0.66%	0.72%	0.59%
49	0.42%	0.48%	0.36%	0.6%	0.62%	0.57%
48	0.37%	0.43%	0.32%	0.54%	0.56%	0.52%
47	0.33%	0.37%	0.28%	0.5%	0.52%	0.47%
46	0.29%	0.33%	0.25%	0.46%	0.51%	0.41%
45	0.26%	0.29%	0.23%	0.43%	0.52%	0.35%
44	0.23%	0.26%	0.21%	0.42%	0.53%	0.3%
43	0.22%	0.23%	0.2%	0.41%	0.54%	0.27%
42	0.2%	0.21%	0.19%	0.39%	0.53%	0.26%
41	0.19%	0.19%	0.18%	0.37%	0.49%	0.25%
40	0.17%	0.18%	0.17%	0.34%	0.43%	0.25%
39	0.16%	0.16%	0.15%	0.31%	0.38%	0.25%
38	0.14%	0.15%	0.14%	0.29%	0.33%	0.25%
37	0.13%	0.14%	0.12%	0.27%	0.3%	0.23%
36	0.12%	0.13%	0.11%	0.25%	0.29%	0.21%
35	0.11%	0.13%	0.1%	0.23%	0.28%	0.18%
34	0.11%	0.12%	0.09%	0.22%	0.29%	0.15%
33	0.1%	0.12%	0.09%	0.22%	0.3%	0.13%
32	0.1%	0.12%	0.09%	0.22%	0.31%	0.12%
31	0.1%	0.12%	0.09%	0.23%	0.32%	0.12%
30	0.1%	0.11%	0.09%	0.22%	0.31%	0.12%
29	0.09%	0.11%	0.08%	0.21%	0.29%	0.13%
28	0.09%	0.1%	0.08%	0.2%	0.26%	0.13%
27	0.08%	0.09%	0.07%	0.17%	0.22%	0.12%
26	0.08%	0.08%	0.07%	0.15%	0.2%	0.1%
25	0.07%	0.08%	0.07%	0.14%	0.18%	0.08%
24	0.07%	0.08%	0.07%	0.13%	0.18%	0.07%
23	0.08%	0.08%	0.07%	0.12%	0.17%	0.06%
22	0.08%	0.08%	0.07%	0.12%	0.17%	0.06%
21	0.08%	0.09%	0.08%	0.12%	0.16%	0.07%
20	0.09%	0.09%	0.09%	0.12%	0.16%	0.08%
19	0.09%	0.1%	0.09%	0.12%	0.17%	0.08%
18	0.1%	0.1%	0.09%	0.12%	0.17%	0.06%
17	0.09%	0.09%	0.09%	0.11%	0.15%	0.06%
16	0.09%	0.09%	0.09%	0.09%	0.12%	0.06%
15	0.08%	0.08%	0.08%	0.07%	0.09%	0.05%
14	0.07%	0.07%	0.07%	0.06%	0.07%	0.05%
13	0.06%	0.05%	0.06%	0.05%	0.05%	0.05%
12	0.05%	0.04%	0.05%	0.04%	0.04%	0.04%
11	0.04%	0.04%	0.04%	0.03%	0.04%	0.03%
10	0.04%	0.03%	0.04%	0.03%	0.03%	0.03%
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%	0.03%	0.03%
5	0.08%	0.07%	0.08%	0.03%	0.03%	0.02%
4	0.07%	0.07%	0.08%	0.03%	0.04%	0.02%
3	0.06%	0.06%	0.07%	0.04%	0.04%	0.03%
2	0.07%	0.07%	0.07%	0.04%	0.05%	0.04%
1	0.18%	0.18%	0.17%	0.05%	0.05%	0.05%
0	1.53%	1.61%	1.44%	1.18%	1.21%	1.14%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 1.18% in Saint Vincent, 0.1% vs 0.22% at age 30, 1.12% vs 1.55% at 60, and 6.36% vs 8.87% at 80.

Death rate by age in Bangladesh vs Saint Vincent

Chart Table

Bangladesh

Male

Female

Saint Vincent

Male

Female

1x

Age	Death rate
	Bangladesh			Saint Vincent
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	13.5	0	39.5
99	504	274.2	753	154.2	83.9	247.4
98	698	414	1,006	228.1	127.1	363
97	924	588	1,288	327	186.4	513
96	1,175	796	1,587	453	265.2	702
95	1,440	1,030	1,887	610	367	931
94	1,718	1,287	2,186	796	493	1,196
93	1,995	1,557	2,471	1,010	645	1,490
92	2,264	1,828	2,735	1,245	818	1,801
91	2,514	2,095	2,969	1,493	1,009	2,121
90	2,738	2,353	3,155	1,752	1,217	2,439
89	2,932	2,596	3,297	2,013	1,434	2,741
88	3,093	2,815	3,394	2,265	1,656	3,014
87	3,217	3,003	3,447	2,492	1,877	3,247
86	3,301	3,148	3,465	2,689	2,091	3,428
85	3,347	3,247	3,451	2,860	2,293	3,555
84	3,355	3,299	3,412	3,000	2,477	3,627
83	3,331	3,310	3,348	3,110	2,640	3,648
82	3,279	3,289	3,261	3,181	2,776	3,626
81	3,205	3,246	3,153	3,216	2,885	3,566
80	3,114	3,189	3,027	3,225	2,964	3,475
79	3,015	3,128	2,889	3,206	3,014	3,357
78	2,903	3,054	2,742	3,150	3,038	3,216
77	2,781	2,966	2,589	3,061	3,038	3,058
76	2,649	2,862	2,434	2,965	3,017	2,887
75	2,510	2,740	2,281	2,874	2,978	2,710
74	2,374	2,605	2,137	2,771	2,922	2,533
73	2,238	2,458	1,998	2,649	2,854	2,362
72	2,099	2,301	1,868	2,528	2,773	2,200
71	1,961	2,138	1,748	2,413	2,683	2,047
70	1,826	1,974	1,638	2,291	2,586	1,904
69	1,697	1,817	1,540	2,169	2,484	1,769
68	1,574	1,674	1,445	2,053	2,378	1,639
67	1,463	1,551	1,351	1,939	2,270	1,517
66	1,364	1,452	1,255	1,821	2,161	1,403
65	1,278	1,382	1,154	1,715	2,053	1,311
64	1,206	1,339	1,052	1,625	1,945	1,231
63	1,143	1,310	953	1,532	1,839	1,151
62	1,085	1,285	861	1,436	1,735	1,074
61	1,028	1,253	781	1,345	1,633	1,003
60	968	1,203	714	1,257	1,536	936
59	906	1,138	659	1,178	1,441	871
58	841	1,059	615	1,107	1,350	810
57	778	975	577	1,036	1,263	755
56	718	892	545	965	1,181	702
55	664	814	516	896	1,101	648
54	615	743	490	836	1,028	606
53	570	679	464	785	957	585
52	526	618	437	724	856	573
51	482	560	406	656	740	562
50	437	503	371	593	634	547
49	391	448	334	539	552	524
48	347	396	296.7	492	498	487
47	307	349	263.5	453	468	437
46	272.6	308	235.8	420	459	381
45	244	272.8	214.7	397	467	328
44	221.8	243.8	200.3	385	485	287.2
43	204.5	219.6	190.2	378	497	259
42	190.1	199.2	181.9	367	487	243.6
41	177.1	181.7	173	348	452	238.4
40	164	166.5	161.7	323	400	239.5
39	149.7	153.1	146.8	297	349	241.3
38	135.6	141.5	130.4	273.5	309	237.3
37	123.1	132.1	115.1	253	283	222.5
36	112.9	124.8	102.4	234.5	268.3	197.9
35	105.6	119.7	93.2	219.3	264.1	170.1
34	101.3	116.7	87.9	209.5	269.6	145.9
33	99.2	115.2	85.6	207.7	281.8	128.8
32	98.3	114.1	85	212.8	296	120.3
31	97.4	112.5	84.9	216.7	303	118.8
30	95.3	109.1	84	215.1	298.2	121.5
29	90.9	103.1	81.1	205.9	278	124.7
28	85.2	95.6	76.8	188.9	247.6	122.2
27	79.3	88.1	72.3	167.9	216	112.7
26	74.5	81.9	68.5	147.5	191.3	97.5
25	71.7	78	66.4	131.8	176.7	81.6
24	71	76.7	66.2	123	171.7	69.7
23	73	78.2	68.4	117	168.1	61.8
22	76.9	81.7	72.4	114.4	163.7	61.2
21	81.9	86.3	77.8	116.3	159.2	69.4
20	87.2	90.9	83.5	119.8	159.1	77
19	91.1	93.9	88.3	121.1	165	74.2
18	92.8	94.5	91	115.3	164.6	63.2
17	91.4	92	90.8	103.5	150.4	54.2
16	86.6	86.2	87	88.5	121.2	54.1
15	78	77	79	72.5	90.3	53.9
14	66.5	65.4	67.8	58.2	65.1	51
13	54.3	53.3	55.5	47.5	49.3	45.6
12	44.1	43.2	45.1	39.7	40.2	39.2
11	37.7	36.8	38.7	33.6	34.8	32.4
10	34.4	33.5	35.3	28.5	31.7	25.2
9	36.2	35	37.5	26.1	30.2	21.8
8	44.9	42.8	47	27.2	29.7	24.6
7	56.8	53.6	60.1	28.5	30.4	26.5
6	67.8	63.8	72.1	28.8	32	25.4
5	74.1	69.7	78.7	28.5	34.5	22.3
4	71.7	67.9	75.7	30.1	37.7	22.4
3	61.4	58.9	63.9	35.3	41.6	28.8
2	70.1	68.9	71.4	40.9	46.3	35.2
1	172.9	175.4	170.2	49	51.8	46.1
0	1,530	1,613	1,443	1,177	1,212	1,140

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 80 in Saint Vincent. The median age of death is 79.7 in Bangladesh and 75.6 in Saint Vincent, 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 Saint Vincent more than their death rates.

Life expectancy in other countries

+ -

1x