Life Expectancy in Bangladesh vs Guinea (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Bangladesh vs Guinea: 78 years vs 71.1 at 30, 82.4 vs 78.7 at 65, 88.1 vs 85.9 at 80 — significantly higher than the 75.5 vs 61.2 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Bangladesh and Guinea.

Table

Current age, years	Total life expectancy, years
	Bangladesh			Guinea
	Average	Male	Female	Average	Male	Female
0	75.5	73.8	77.2	61.2	59.9	62.4
1	76.6	75	78.3	65.3	64.4	66.2
2	76.8	75.2	78.5	65.9	65	66.8
3	76.8	75.2	78.5	66.4	65.5	67.2
4	76.9	75.2	78.6	66.8	65.9	67.6
5	76.9	75.3	78.6	67.2	66.3	68
6	77	75.3	78.7	67.5	66.5	68.3
7	77	75.4	78.8	67.7	66.8	68.5
8	77.1	75.4	78.8	67.9	67	68.7
9	77.1	75.5	78.8	68	67.1	68.9
10	77.1	75.5	78.9	68.2	67.2	69
11	77.1	75.5	78.9	68.3	67.4	69.1
12	77.2	75.5	78.9	68.4	67.5	69.3
13	77.2	75.6	78.9	68.5	67.6	69.4
14	77.2	75.6	79	68.6	67.7	69.5
15	77.3	75.6	79	68.7	67.8	69.6
16	77.3	75.7	79.1	68.8	67.9	69.7
17	77.4	75.7	79.1	69	68	69.8
18	77.4	75.8	79.2	69.1	68.1	70
19	77.5	75.8	79.2	69.2	68.3	70.1
20	77.5	75.9	79.3	69.4	68.5	70.2
21	77.6	75.9	79.3	69.6	68.7	70.4
22	77.6	76	79.4	69.7	68.8	70.5
23	77.7	76	79.4	69.9	69	70.7
24	77.7	76.1	79.5	70.1	69.2	70.8
25	77.8	76.1	79.5	70.2	69.4	71
26	77.8	76.2	79.6	70.4	69.6	71.1
27	77.8	76.2	79.6	70.6	69.8	71.3
28	77.9	76.3	79.6	70.8	70	71.4
29	77.9	76.3	79.7	70.9	70.1	71.6
30	78	76.4	79.7	71.1	70.3	71.8
31	78	76.4	79.8	71.3	70.5	71.9
32	78.1	76.5	79.8	71.4	70.7	72.1
33	78.1	76.5	79.8	71.6	70.8	72.2
34	78.2	76.6	79.9	71.8	71	72.4
35	78.2	76.6	79.9	71.9	71.2	72.6
36	78.3	76.7	80	72.1	71.4	72.7
37	78.3	76.7	80	72.3	71.5	72.9
38	78.4	76.8	80.1	72.4	71.7	73.1
39	78.4	76.8	80.1	72.6	71.9	73.2
40	78.5	76.9	80.2	72.8	72.1	73.4
41	78.5	77	80.2	73	72.2	73.6
42	78.6	77	80.3	73.2	72.4	73.8
43	78.7	77.1	80.4	73.3	72.6	73.9
44	78.8	77.2	80.5	73.5	72.8	74.1
45	78.8	77.3	80.5	73.7	73	74.3
46	78.9	77.3	80.6	73.9	73.2	74.5
47	79	77.4	80.7	74.1	73.4	74.7
48	79.1	77.6	80.8	74.3	73.6	74.8
49	79.2	77.7	80.9	74.5	73.8	75
50	79.4	77.8	81	74.7	74	75.2
51	79.5	78	81.1	74.9	74.2	75.4
52	79.7	78.1	81.3	75.1	74.5	75.6
53	79.8	78.3	81.4	75.3	74.7	75.8
54	80	78.5	81.5	75.6	75	76.1
55	80.1	78.7	81.7	75.8	75.2	76.3
56	80.3	78.9	81.8	76.1	75.5	76.5
57	80.5	79.1	82	76.3	75.8	76.7
58	80.7	79.4	82.2	76.6	76	77
59	80.9	79.6	82.3	76.8	76.3	77.2
60	81.2	79.9	82.5	77.1	76.6	77.5
61	81.4	80.2	82.7	77.4	76.9	77.7
62	81.6	80.5	82.9	77.7	77.2	78
63	81.9	80.8	83.1	78	77.6	78.3
64	82.2	81.1	83.3	78.3	77.9	78.6
65	82.4	81.3	83.5	78.7	78.3	79
66	82.7	81.6	83.8	79	78.7	79.3
67	83	81.9	84	79.4	79.1	79.7
68	83.3	82.2	84.3	79.8	79.5	80
69	83.6	82.5	84.6	80.2	79.9	80.4
70	83.9	82.9	84.9	80.6	80.3	80.9
71	84.2	83.2	85.2	81.1	80.8	81.3
72	84.6	83.6	85.5	81.5	81.2	81.7
73	85	84	85.9	82	81.7	82.2
74	85.4	84.5	86.2	82.5	82.2	82.7
75	85.8	84.9	86.6	83	82.8	83.2
76	86.2	85.4	87	83.6	83.3	83.7
77	86.7	85.8	87.4	84.1	83.9	84.3
78	87.1	86.3	87.8	84.7	84.5	84.8
79	87.6	86.8	88.3	85.3	85.1	85.4
80	88.1	87.4	88.7	85.9	85.7	86
81	88.6	87.9	89.2	86.5	86.3	86.7
82	89.2	88.5	89.7	87.2	87	87.3
83	89.7	89	90.2	87.9	87.7	88
84	90.3	89.6	90.8	88.6	88.3	88.7
85	90.9	90.3	91.3	89.3	89.1	89.4
86	91.5	90.9	91.9	90	89.8	90.2
87	92.1	91.6	92.5	90.7	90.5	90.9
88	92.8	92.2	93.1	91.5	91.3	91.7
89	93.4	92.9	93.8	92.3	92	92.4
90	94.1	93.6	94.4	93.1	92.8	93.2
91	94.8	94.4	95.1	93.9	93.6	94
92	95.5	95.1	95.8	94.7	94.5	94.8
93	96.3	95.9	96.5	95.5	95.3	95.6
94	97	96.6	97.2	96.4	96.2	96.5
95	97.8	97.4	98	97.2	97.1	97.3
96	98.6	98.2	98.8	98.1	98	98.2
97	99.4	99.1	99.6	99	98.9	99.1
98	100.3	99.9	100.4	99.9	99.8	100
99	101.2	100.9	101.3	100.8	100.7	100.9
100	102.2	101.9	102.3	101.8	101.7	101.8

Odds of living to age in Bangladesh vs Guinea

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.2% in Bangladesh and 66.9% in Guinea are expected to survive till at least 60 years old, 73.4% and 51.3% will live to 70 years or older, 49% and 26% to 80+ years, and 16.8% and 4.56% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Bangladesh			Guinea
	Average	Male	Female	Average	Male	Female
1	98.5%	98.4%	98.6%	93.7%	93.1%	94.3%
2	98.3%	98.2%	98.4%	92.8%	92.2%	93.5%
3	98.2%	98.1%	98.3%	92.1%	91.4%	92.8%
4	98.2%	98.1%	98.3%	91.5%	90.8%	92.2%
5	98.1%	98%	98.2%	91%	90.3%	91.7%
6	98%	97.9%	98.1%	90.6%	89.9%	91.3%
7	98%	97.9%	98%	90.3%	89.6%	91%
8	97.9%	97.8%	98%	90%	89.3%	90.7%
9	97.9%	97.8%	97.9%	89.7%	89.1%	90.4%
10	97.8%	97.8%	97.9%	89.5%	88.9%	90.2%
11	97.8%	97.7%	97.8%	89.3%	88.7%	90%
12	97.7%	97.7%	97.8%	89.2%	88.5%	89.8%
13	97.7%	97.6%	97.8%	89%	88.4%	89.6%
14	97.6%	97.6%	97.7%	88.8%	88.2%	89.5%
15	97.6%	97.5%	97.6%	88.6%	88%	89.3%
16	97.5%	97.4%	97.6%	88.5%	87.8%	89.1%
17	97.4%	97.4%	97.5%	88.2%	87.6%	88.9%
18	97.3%	97.3%	97.4%	88%	87.4%	88.7%
19	97.2%	97.2%	97.3%	87.8%	87.1%	88.4%
20	97.1%	97.1%	97.2%	87.5%	86.8%	88.2%
21	97%	97%	97.1%	87.2%	86.5%	87.9%
22	97%	96.9%	97%	86.9%	86.1%	87.7%
23	96.9%	96.8%	97%	86.6%	85.8%	87.4%
24	96.8%	96.7%	96.9%	86.3%	85.4%	87.1%
25	96.7%	96.7%	96.8%	85.9%	85%	86.9%
26	96.7%	96.6%	96.8%	85.6%	84.7%	86.6%
27	96.6%	96.5%	96.7%	85.3%	84.3%	86.3%
28	96.5%	96.4%	96.6%	85%	84%	86%
29	96.4%	96.3%	96.5%	84.6%	83.6%	85.6%
30	96.3%	96.2%	96.5%	84.3%	83.3%	85.3%
31	96.3%	96.1%	96.4%	83.9%	82.9%	85%
32	96.2%	96%	96.3%	83.6%	82.5%	84.6%
33	96.1%	95.9%	96.2%	83.2%	82.2%	84.3%
34	96%	95.8%	96.1%	82.8%	81.8%	83.9%
35	95.9%	95.6%	96%	82.5%	81.4%	83.6%
36	95.7%	95.5%	95.9%	82.1%	81%	83.2%
37	95.6%	95.4%	95.8%	81.7%	80.6%	82.9%
38	95.5%	95.3%	95.7%	81.3%	80.2%	82.5%
39	95.4%	95.1%	95.6%	80.9%	79.8%	82.1%
40	95.2%	95%	95.5%	80.5%	79.3%	81.7%
41	95.1%	94.8%	95.3%	80%	78.9%	81.2%
42	94.9%	94.6%	95.1%	79.6%	78.4%	80.8%
43	94.7%	94.4%	94.9%	79.1%	77.9%	80.3%
44	94.5%	94.2%	94.7%	78.6%	77.4%	79.8%
45	94.3%	94%	94.5%	78.1%	76.9%	79.3%
46	94%	93.7%	94.3%	77.6%	76.3%	78.8%
47	93.8%	93.4%	94.1%	77%	75.8%	78.3%
48	93.4%	93%	93.8%	76.5%	75.2%	77.8%
49	93.1%	92.6%	93.5%	75.9%	74.6%	77.3%
50	92.7%	92.2%	93.2%	75.3%	73.9%	76.7%
51	92.3%	91.7%	92.8%	74.6%	73.2%	76.1%
52	91.8%	91.1%	92.4%	73.9%	72.4%	75.4%
53	91.3%	90.5%	92%	73.2%	71.6%	74.7%
54	90.7%	89.8%	91.5%	72.4%	70.8%	74%
55	90.1%	89.1%	91%	71.6%	69.9%	73.3%
56	89.4%	88.3%	90.5%	70.7%	69%	72.5%
57	88.7%	87.4%	90%	69.9%	68%	71.6%
58	87.9%	86.4%	89.4%	68.9%	67%	70.8%
59	87.1%	85.4%	88.8%	67.9%	66%	69.8%
60	86.2%	84.2%	88.1%	66.9%	64.9%	68.8%
61	85.2%	83%	87.4%	65.8%	63.7%	67.8%
62	84.2%	81.8%	86.6%	64.5%	62.4%	66.6%
63	83.1%	80.5%	85.8%	63.2%	61%	65.3%
64	81.9%	79.2%	84.8%	61.8%	59.5%	64%
65	80.7%	77.8%	83.8%	60.3%	57.9%	62.5%
66	79.5%	76.4%	82.6%	58.7%	56.2%	61%
67	78.1%	75%	81.4%	57%	54.5%	59.3%
68	76.6%	73.4%	80%	55.2%	52.6%	57.5%
69	75.1%	71.8%	78.6%	53.3%	50.7%	55.7%
70	73.4%	69.9%	77%	51.3%	48.7%	53.6%
71	71.5%	68%	75.4%	49.1%	46.5%	51.5%
72	69.6%	65.8%	73.6%	46.9%	44.3%	49.2%
73	67.5%	63.5%	71.8%	44.5%	41.9%	46.8%
74	65.2%	61.1%	69.8%	42%	39.5%	44.3%
75	62.9%	58.5%	67.6%	39.5%	37%	41.7%
76	60.4%	55.7%	65.3%	36.9%	34.4%	39.1%
77	57.7%	52.9%	62.9%	34.2%	31.8%	36.3%
78	54.9%	49.9%	60.3%	31.5%	29.1%	33.5%
79	52%	46.8%	57.6%	28.7%	26.4%	30.7%
80	49%	43.7%	54.7%	26%	23.8%	27.8%
81	45.9%	40.5%	51.7%	23.2%	21.2%	25%
82	42.7%	37.3%	48.5%	20.5%	18.6%	22.2%
83	39.4%	34%	45.2%	17.9%	16.2%	19.5%
84	36.1%	30.7%	41.9%	15.5%	13.9%	16.8%
85	32.7%	27.4%	38.5%	13.2%	11.7%	14.4%
86	29.4%	24.1%	35%	11%	9.77%	12.1%
87	26.1%	21%	31.6%	9.09%	7.98%	10%
88	22.9%	18%	28.1%	7.37%	6.38%	8.21%
89	19.8%	15.2%	24.7%	5.86%	4.99%	6.6%
90	16.8%	12.6%	21.4%	4.56%	3.8%	5.21%
91	14.1%	10.2%	18.3%	3.47%	2.81%	4.03%
92	11.6%	8.13%	15.3%	2.58%	2.02%	3.06%
93	9.32%	6.3%	12.6%	1.87%	1.41%	2.26%
94	7.32%	4.75%	10.1%	1.32%	0.95%	1.63%
95	5.6%	3.46%	7.92%	0.91%	0.63%	1.14%
96	4.16%	2.43%	6.03%	0.6%	0.4%	0.77%
97	2.99%	1.63%	4.44%	0.39%	0.25%	0.51%
98	2.06%	1.05%	3.16%	0.24%	0.15%	0.32%
99	1.37%	0.63%	2.15%	0.15%	0.09%	0.2%
100	0.86%	0.36%	1.4%	0.09%	0.05%	0.12%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.53% in the birth year in Bangladesh and 6.31% in Guinea, 0.1% vs 0.41% at age 30, 1.12% vs 1.69% at 60, and 6.36% vs 10.5% at 80.

Below is a graph displaying the probabilities of dying in Bangladesh compared to Guinea at any given age.

Table

Age	Probability of dying
	Bangladesh			Guinea
	Average	Male	Female	Average	Male	Female
0	1.53%	1.61%	1.44%	6.31%	6.88%	5.72%
1	0.18%	0.18%	0.17%	0.92%	0.99%	0.85%
2	0.07%	0.07%	0.07%	0.77%	0.82%	0.73%
3	0.06%	0.06%	0.07%	0.65%	0.67%	0.62%
4	0.07%	0.07%	0.08%	0.54%	0.55%	0.53%
5	0.08%	0.07%	0.08%	0.45%	0.46%	0.45%
6	0.07%	0.07%	0.07%	0.38%	0.38%	0.38%
7	0.06%	0.05%	0.06%	0.32%	0.31%	0.33%
8	0.05%	0.04%	0.05%	0.27%	0.26%	0.28%
9	0.04%	0.04%	0.04%	0.23%	0.22%	0.24%
10	0.04%	0.03%	0.04%	0.21%	0.2%	0.22%
11	0.04%	0.04%	0.04%	0.19%	0.18%	0.2%
12	0.05%	0.04%	0.05%	0.19%	0.18%	0.19%
13	0.06%	0.05%	0.06%	0.19%	0.18%	0.19%
14	0.07%	0.07%	0.07%	0.2%	0.2%	0.2%
15	0.08%	0.08%	0.08%	0.22%	0.22%	0.21%
16	0.09%	0.09%	0.09%	0.24%	0.25%	0.23%
17	0.09%	0.09%	0.09%	0.26%	0.28%	0.25%
18	0.1%	0.1%	0.09%	0.29%	0.31%	0.26%
19	0.09%	0.1%	0.09%	0.31%	0.35%	0.28%
20	0.09%	0.09%	0.09%	0.33%	0.38%	0.29%
21	0.08%	0.09%	0.08%	0.35%	0.4%	0.3%
22	0.08%	0.08%	0.07%	0.36%	0.41%	0.31%
23	0.08%	0.08%	0.07%	0.37%	0.42%	0.31%
24	0.07%	0.08%	0.07%	0.37%	0.42%	0.32%
25	0.07%	0.08%	0.07%	0.38%	0.42%	0.34%
26	0.08%	0.08%	0.07%	0.38%	0.42%	0.35%
27	0.08%	0.09%	0.07%	0.39%	0.42%	0.36%
28	0.09%	0.1%	0.08%	0.4%	0.42%	0.37%
29	0.09%	0.11%	0.08%	0.41%	0.43%	0.38%
30	0.1%	0.11%	0.09%	0.41%	0.44%	0.39%
31	0.1%	0.12%	0.09%	0.42%	0.45%	0.4%
32	0.1%	0.12%	0.09%	0.43%	0.46%	0.41%
33	0.1%	0.12%	0.09%	0.44%	0.46%	0.41%
34	0.11%	0.12%	0.09%	0.45%	0.47%	0.42%
35	0.11%	0.13%	0.1%	0.46%	0.48%	0.43%
36	0.12%	0.13%	0.11%	0.47%	0.49%	0.45%
37	0.13%	0.14%	0.12%	0.49%	0.51%	0.47%
38	0.14%	0.15%	0.14%	0.51%	0.52%	0.49%
39	0.16%	0.16%	0.15%	0.53%	0.55%	0.51%
40	0.17%	0.18%	0.17%	0.56%	0.57%	0.54%
41	0.19%	0.19%	0.18%	0.58%	0.6%	0.56%
42	0.2%	0.21%	0.19%	0.6%	0.63%	0.58%
43	0.22%	0.23%	0.2%	0.62%	0.65%	0.6%
44	0.23%	0.26%	0.21%	0.64%	0.68%	0.61%
45	0.26%	0.29%	0.23%	0.66%	0.7%	0.62%
46	0.29%	0.33%	0.25%	0.68%	0.73%	0.64%
47	0.33%	0.37%	0.28%	0.71%	0.77%	0.66%
48	0.37%	0.43%	0.32%	0.76%	0.83%	0.7%
49	0.42%	0.48%	0.36%	0.81%	0.89%	0.74%
50	0.47%	0.55%	0.4%	0.87%	0.97%	0.8%
51	0.52%	0.61%	0.44%	0.94%	1.04%	0.86%
52	0.57%	0.68%	0.47%	1.01%	1.12%	0.92%
53	0.62%	0.75%	0.5%	1.07%	1.19%	0.97%
54	0.68%	0.83%	0.54%	1.13%	1.25%	1.03%
55	0.74%	0.91%	0.57%	1.19%	1.31%	1.09%
56	0.8%	1.01%	0.6%	1.25%	1.38%	1.15%
57	0.88%	1.12%	0.64%	1.33%	1.46%	1.22%
58	0.96%	1.23%	0.69%	1.43%	1.56%	1.31%
59	1.04%	1.33%	0.74%	1.55%	1.69%	1.42%
60	1.12%	1.43%	0.81%	1.69%	1.85%	1.56%
61	1.21%	1.51%	0.89%	1.86%	2.03%	1.71%
62	1.29%	1.57%	0.99%	2.04%	2.23%	1.88%
63	1.38%	1.63%	1.11%	2.23%	2.44%	2.07%
64	1.47%	1.69%	1.24%	2.44%	2.65%	2.27%
65	1.58%	1.78%	1.38%	2.66%	2.88%	2.49%
66	1.72%	1.9%	1.52%	2.9%	3.12%	2.73%
67	1.87%	2.07%	1.66%	3.16%	3.39%	2.99%
68	2.05%	2.28%	1.81%	3.46%	3.69%	3.29%
69	2.26%	2.53%	1.96%	3.8%	4.03%	3.63%
70	2.49%	2.82%	2.13%	4.18%	4.41%	4%
71	2.74%	3.15%	2.32%	4.59%	4.84%	4.41%
72	3.02%	3.49%	2.54%	5.05%	5.31%	4.86%
73	3.32%	3.87%	2.78%	5.54%	5.82%	5.34%
74	3.64%	4.27%	3.06%	6.07%	6.37%	5.85%
75	3.99%	4.69%	3.37%	6.64%	6.97%	6.41%
76	4.39%	5.14%	3.73%	7.27%	7.63%	7.02%
77	4.82%	5.61%	4.11%	7.97%	8.36%	7.7%
78	5.29%	6.12%	4.54%	8.74%	9.15%	8.46%
79	5.8%	6.68%	5.02%	9.6%	10%	9.3%
80	6.36%	7.29%	5.53%	10.5%	11%	10.2%
81	6.98%	8.01%	6.1%	11.5%	12%	11.2%
82	7.68%	8.82%	6.72%	12.6%	13.1%	12.3%
83	8.45%	9.74%	7.4%	13.8%	14.2%	13.4%
84	9.3%	10.8%	8.14%	15%	15.5%	14.6%
85	10.2%	11.9%	8.97%	16.2%	16.8%	15.8%
86	11.2%	13%	9.89%	17.5%	18.3%	17%
87	12.3%	14.3%	10.9%	19%	20%	18.3%
88	13.5%	15.6%	12.1%	20.5%	21.9%	19.6%
89	14.8%	17.1%	13.3%	22.1%	23.9%	21%
90	16.3%	18.7%	14.7%	23.8%	26%	22.6%
91	17.8%	20.5%	16.2%	25.6%	28.1%	24.2%
92	19.5%	22.5%	17.9%	27.5%	30.2%	26%
93	21.4%	24.7%	19.6%	29.4%	32.3%	28%
94	23.5%	27.1%	21.6%	31.4%	34.2%	30.1%
95	25.7%	29.8%	23.8%	33.5%	36.2%	32.3%
96	28.2%	32.7%	26.3%	35.5%	38.1%	34.4%
97	30.9%	36%	29%	37.4%	40%	36.4%
98	33.8%	39.5%	31.9%	39.3%	42%	38.4%
99	36.9%	43.4%	35%	41.1%	44%	40.2%
100	39.5%	46.5%	37.6%	43.1%	45.9%	42.3%

Death rate by age in Bangladesh compared to Guinea

In Bangladesh, the most common age of death is 84, compared to 0 in Guinea. The median age of death is 79.7 in Bangladesh and 70.6 in Guinea — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bangladesh			Guinea
	Total	Male	Female	Total	Male	Female
0	1,530	1,613	1,443	6,306	6,878	5,716
1	172.9	175.4	170.2	867	925	805
2	70.1	68.9	71.4	719	754	682
3	61.4	58.9	63.9	598	616	579
4	71.7	67.9	75.7	497	504	491
5	74.1	69.7	78.7	414	412	415
6	67.8	63.8	72.1	345	339	351
7	56.8	53.6	60.1	288.2	279.6	297.3
8	44.9	42.8	47	243.5	234	253.4
9	36.2	35	37.5	209.6	200.3	219.4
10	34.4	33.5	35.3	185.9	177.3	195
11	37.7	36.8	38.7	171.6	164	179.6
12	44.1	43.2	45.1	165.7	159.4	172.3
13	54.3	53.3	55.5	167.7	163.1	172.4
14	66.5	65.4	67.8	176.5	174.3	178.8
15	78	77	79	191.4	192.7	190
16	86.6	86.2	87	210.8	217	204.4
17	91.4	92	90.8	232.6	245.2	219.4
18	92.8	94.5	91	254.5	274.7	233.5
19	91.1	93.9	88.3	274.2	302	244.9
20	87.2	90.9	83.5	290.5	326	253.9
21	81.9	86.3	77.8	303	343	261.2
22	76.9	81.7	72.4	312	354	267.8
23	73	78.2	68.4	317	358	274.8
24	71	76.7	66.2	322	359	282.7
25	71.7	78	66.4	325	357	291.4
26	74.5	81.9	68.5	328	355	301
27	79.3	88.1	72.3	332	354	310
28	85.2	95.6	76.8	337	356	318
29	90.9	103.1	81.1	343	359	326
30	95.3	109.1	84	349	365	333
31	97.4	112.5	84.9	355	371	339
32	98.3	114.1	85	360	376	344
33	99.2	115.2	85.6	365	381	349
34	101.3	116.7	87.9	370	385	355
35	105.6	119.7	93.2	377	390	363
36	112.9	124.8	102.4	385	397	373
37	123.1	132.1	115.1	396	407	386
38	135.6	141.5	130.4	411	421	402
39	149.7	153.1	146.8	428	437	420
40	164	166.5	161.7	447	456	438
41	177.1	181.7	173	465	475	455
42	190.1	199.2	181.9	480	492	469
43	204.5	219.6	190.2	493	508	479
44	221.8	243.8	200.3	503	523	486
45	244	272.8	214.7	514	538	493
46	272.6	308	235.8	528	558	503
47	307	349	263.5	549	585	519
48	347	396	296.7	578	621	542
49	391	448	334	614	664	573
50	437	503	371	657	713	610
51	482	560	406	702	764	651
52	526	618	437	745	811	691
53	570	679	464	784	852	728
54	615	743	490	818	886	762
55	664	814	516	851	918	795
56	718	892	545	886	951	831
57	778	975	577	928	994	874
58	841	1,059	615	983	1,049	928
59	906	1,138	659	1,050	1,118	993
60	968	1,203	714	1,130	1,201	1,071
61	1,028	1,253	781	1,220	1,293	1,159
62	1,085	1,285	861	1,315	1,390	1,254
63	1,143	1,310	953	1,412	1,485	1,352
64	1,206	1,339	1,052	1,508	1,578	1,453
65	1,278	1,382	1,154	1,604	1,667	1,556
66	1,364	1,452	1,255	1,702	1,755	1,662
67	1,463	1,551	1,351	1,803	1,845	1,774
68	1,574	1,674	1,445	1,911	1,941	1,893
69	1,697	1,817	1,540	2,024	2,042	2,018
70	1,826	1,974	1,638	2,141	2,146	2,146
71	1,961	2,138	1,748	2,256	2,250	2,272
72	2,099	2,301	1,868	2,366	2,349	2,391
73	2,238	2,458	1,998	2,465	2,439	2,499
74	2,374	2,605	2,137	2,552	2,516	2,594
75	2,510	2,740	2,281	2,624	2,578	2,675
76	2,649	2,862	2,434	2,682	2,625	2,742
77	2,781	2,966	2,589	2,725	2,654	2,796
78	2,903	3,054	2,742	2,751	2,665	2,835
79	3,015	3,128	2,889	2,756	2,652	2,854
80	3,114	3,189	3,027	2,734	2,611	2,847
81	3,205	3,246	3,153	2,680	2,540	2,807
82	3,279	3,289	3,261	2,592	2,438	2,730
83	3,331	3,310	3,348	2,469	2,306	2,613
84	3,355	3,299	3,412	2,314	2,150	2,458
85	3,347	3,247	3,451	2,134	1,977	2,272
86	3,301	3,148	3,465	1,935	1,791	2,062
87	3,217	3,003	3,447	1,725	1,596	1,839
88	3,093	2,815	3,394	1,510	1,395	1,611
89	2,932	2,596	3,297	1,296	1,190	1,388
90	2,738	2,353	3,155	1,087	986	1,175
91	2,514	2,095	2,969	891	790	977
92	2,264	1,828	2,735	711	611	796
93	1,995	1,557	2,471	552	455	633
94	1,718	1,287	2,186	416	327	490
95	1,440	1,030	1,887	303	227	367
96	1,175	796	1,587	213.9	152.6	265
97	924	588	1,288	145.7	99.3	184.2
98	698	414	1,006	95.7	62.5	123.3
99	504	274.2	753	60.7	38	79.6
100	243.5	52.4	450	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Bangladesh and Guinea demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Bangladesh vs Guinea: Quantitative Profiles

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size