Life Expectancy in Bangladesh vs Guinea (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Guinea

Male

Female

1x

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

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 71.1 in Guinea, rising to 82.4 and 78.7 at 65, and to 88.1 and 85.9 at 80 — higher than the 75.5 and 61.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Guinea

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 66.9% in Guinea are expected to live past 60, 73.4% and 51.3% past 70, 49% and 26% past 80, and only 16.8% and 4.56% 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

Guinea

Male

Female

1x

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

This chart displays the probability of dying at any given age in Bangladesh compared to Guinea, as 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.

Death rate by age in Bangladesh vs Guinea

Chart Table

Bangladesh

Male

Female

Guinea

Male

Female

1x

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

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 Guinea. The median age of death is 79.7 in Bangladesh and 70.6 in Guinea, 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 Guinea more than their death rates.

Life expectancy in other countries

+ -

1x