Life Expectancy in Bangladesh vs Guinea-Bissau (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Guinea-Bissau

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102	101.9	102.1
99	101.2	100.9	101.3	101.1	101	101.2
98	100.3	99.9	100.4	100.2	100.1	100.3
97	99.4	99.1	99.6	99.3	99.2	99.4
96	98.6	98.2	98.8	98.4	98.3	98.5
95	97.8	97.4	98	97.6	97.4	97.6
94	97	96.6	97.2	96.7	96.6	96.8
93	96.3	95.9	96.5	95.9	95.7	95.9
92	95.5	95.1	95.8	95	94.9	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	93.5
89	93.4	92.9	93.8	92.6	92.4	92.7
88	92.8	92.2	93.1	91.8	91.6	92
87	92.1	91.6	92.5	91	90.8	91.2
86	91.5	90.9	91.9	90.3	90	90.4
85	90.9	90.3	91.3	89.5	89.3	89.7
84	90.3	89.6	90.8	88.8	88.5	89
83	89.7	89	90.2	88.1	87.8	88.3
82	89.2	88.5	89.7	87.4	87.1	87.7
81	88.6	87.9	89.2	86.8	86.4	87
80	88.1	87.4	88.7	86.1	85.7	86.4
79	87.6	86.8	88.3	85.5	85.1	85.8
78	87.1	86.3	87.8	84.9	84.4	85.2
77	86.7	85.8	87.4	84.3	83.8	84.7
76	86.2	85.4	87	83.7	83.2	84.1
75	85.8	84.9	86.6	83.2	82.6	83.6
74	85.4	84.5	86.2	82.7	82.1	83.1
73	85	84	85.9	82.2	81.5	82.6
72	84.6	83.6	85.5	81.7	81	82.1
71	84.2	83.2	85.2	81.2	80.5	81.7
70	83.9	82.9	84.9	80.7	80	81.3
69	83.6	82.5	84.6	80.3	79.5	80.9
68	83.3	82.2	84.3	79.9	79.1	80.5
67	83	81.9	84	79.5	78.6	80.1
66	82.7	81.6	83.8	79.1	78.2	79.8
65	82.4	81.3	83.5	78.7	77.8	79.4
64	82.2	81.1	83.3	78.4	77.4	79.1
63	81.9	80.8	83.1	78	77	78.8
62	81.6	80.5	82.9	77.7	76.6	78.5
61	81.4	80.2	82.7	77.4	76.3	78.2
60	81.2	79.9	82.5	77.1	75.9	78
59	80.9	79.6	82.3	76.8	75.6	77.7
58	80.7	79.4	82.2	76.5	75.3	77.5
57	80.5	79.1	82	76.3	75	77.2
56	80.3	78.9	81.8	76	74.7	77
55	80.1	78.7	81.7	75.7	74.4	76.8
54	80	78.5	81.5	75.5	74.1	76.6
53	79.8	78.3	81.4	75.2	73.8	76.4
52	79.7	78.1	81.3	75	73.5	76.2
51	79.5	78	81.1	74.8	73.3	76
50	79.4	77.8	81	74.6	73	75.8
49	79.2	77.7	80.9	74.4	72.8	75.6
48	79.1	77.6	80.8	74.2	72.6	75.5
47	79	77.4	80.7	74	72.4	75.3
46	78.9	77.3	80.6	73.8	72.1	75.1
45	78.8	77.3	80.5	73.6	71.9	75
44	78.8	77.2	80.5	73.4	71.7	74.8
43	78.7	77.1	80.4	73.3	71.5	74.7
42	78.6	77	80.3	73.1	71.4	74.6
41	78.5	77	80.2	72.9	71.2	74.4
40	78.5	76.9	80.2	72.8	71	74.3
39	78.4	76.8	80.1	72.6	70.8	74.2
38	78.4	76.8	80.1	72.5	70.7	74
37	78.3	76.7	80	72.3	70.5	73.9
36	78.3	76.7	80	72.2	70.3	73.8
35	78.2	76.6	79.9	72	70.2	73.7
34	78.2	76.6	79.9	71.9	70	73.5
33	78.1	76.5	79.8	71.8	69.9	73.4
32	78.1	76.5	79.8	71.7	69.7	73.3
31	78	76.4	79.8	71.5	69.6	73.2
30	78	76.4	79.7	71.4	69.5	73.1
29	77.9	76.3	79.7	71.3	69.3	73
28	77.9	76.3	79.6	71.2	69.2	72.9
27	77.8	76.2	79.6	71.1	69.1	72.8
26	77.8	76.2	79.6	70.9	68.9	72.7
25	77.8	76.1	79.5	70.8	68.8	72.6
24	77.7	76.1	79.5	70.7	68.7	72.5
23	77.7	76	79.4	70.6	68.5	72.4
22	77.6	76	79.4	70.5	68.4	72.4
21	77.6	75.9	79.3	70.4	68.3	72.3
20	77.5	75.9	79.3	70.3	68.2	72.2
19	77.5	75.8	79.2	70.2	68.1	72.1
18	77.4	75.8	79.2	70.1	68	72
17	77.4	75.7	79.1	70	67.9	72
16	77.3	75.7	79.1	69.9	67.8	71.9
15	77.3	75.6	79	69.9	67.7	71.8
14	77.2	75.6	79	69.8	67.6	71.8
13	77.2	75.6	78.9	69.7	67.6	71.7
12	77.2	75.5	78.9	69.7	67.5	71.7
11	77.1	75.5	78.9	69.6	67.4	71.6
10	77.1	75.5	78.9	69.6	67.4	71.5
9	77.1	75.5	78.8	69.5	67.3	71.5
8	77.1	75.4	78.8	69.4	67.2	71.4
7	77	75.4	78.8	69.3	67.1	71.3
6	77	75.3	78.7	69.2	67	71.2
5	76.9	75.3	78.6	69.1	66.9	71.1
4	76.9	75.2	78.6	68.9	66.7	70.9
3	76.8	75.2	78.5	68.7	66.5	70.7
2	76.8	75.2	78.5	68.3	66.1	70.4
1	76.6	75	78.3	67.7	65.5	69.8
0	75.5	73.8	77.2	64.6	62.1	66.9

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 71.4 in Guinea-Bissau, rising to 82.4 and 78.7 at 65, and to 88.1 and 86.1 at 80 — higher than the 75.5 and 64.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Survival probability
	Bangladesh			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.17%	0.1%	0.25%
99	1.37%	0.63%	2.15%	0.27%	0.15%	0.39%
98	2.06%	1.05%	3.16%	0.41%	0.24%	0.58%
97	2.99%	1.63%	4.44%	0.61%	0.36%	0.85%
96	4.16%	2.43%	6.03%	0.89%	0.54%	1.23%
95	5.6%	3.46%	7.92%	1.27%	0.79%	1.73%
94	7.32%	4.75%	10.1%	1.76%	1.12%	2.37%
93	9.32%	6.3%	12.6%	2.4%	1.55%	3.18%
92	11.6%	8.13%	15.3%	3.19%	2.11%	4.18%
91	14.1%	10.2%	18.3%	4.14%	2.81%	5.38%
90	16.8%	12.6%	21.4%	5.32%	3.67%	6.82%
89	19.8%	15.2%	24.7%	6.68%	4.71%	8.48%
88	22.9%	18%	28.1%	8.27%	5.94%	10.4%
87	26.1%	21%	31.6%	10.1%	7.36%	12.5%
86	29.4%	24.1%	35%	12.1%	8.99%	14.9%
85	32.7%	27.4%	38.5%	14.3%	10.8%	17.4%
84	36.1%	30.7%	41.9%	16.7%	12.8%	20.2%
83	39.4%	34%	45.2%	19.3%	15%	23%
82	42.7%	37.3%	48.5%	21.9%	17.3%	26%
81	45.9%	40.5%	51.7%	24.7%	19.7%	28.9%
80	49%	43.7%	54.7%	27.5%	22.3%	32%
79	52%	46.8%	57.6%	30.4%	24.9%	35.1%
78	54.9%	49.9%	60.3%	33.2%	27.5%	38.1%
77	57.7%	52.9%	62.9%	36.1%	30.2%	41.1%
76	60.4%	55.7%	65.3%	38.9%	32.9%	44.1%
75	62.9%	58.5%	67.6%	41.7%	35.6%	46.9%
74	65.2%	61.1%	69.8%	44.4%	38.3%	49.7%
73	67.5%	63.5%	71.8%	47%	40.9%	52.4%
72	69.6%	65.8%	73.6%	49.6%	43.5%	54.9%
71	71.5%	68%	75.4%	51.9%	45.9%	57.3%
70	73.4%	69.9%	77%	54.3%	48.3%	59.6%
69	75.1%	71.8%	78.6%	56.4%	50.6%	61.7%
68	76.6%	73.4%	80%	58.5%	52.8%	63.6%
67	78.1%	75%	81.4%	60.4%	54.9%	65.5%
66	79.5%	76.4%	82.6%	62.2%	56.9%	67.2%
65	80.7%	77.8%	83.8%	64%	58.8%	68.8%
64	81.9%	79.2%	84.8%	65.6%	60.6%	70.4%
63	83.1%	80.5%	85.8%	67.2%	62.4%	71.8%
62	84.2%	81.8%	86.6%	68.6%	64%	73.1%
61	85.2%	83%	87.4%	70%	65.6%	74.3%
60	86.2%	84.2%	88.1%	71.3%	67.1%	75.4%
59	87.1%	85.4%	88.8%	72.5%	68.4%	76.5%
58	87.9%	86.4%	89.4%	73.6%	69.7%	77.5%
57	88.7%	87.4%	90%	74.7%	70.9%	78.4%
56	89.4%	88.3%	90.5%	75.7%	72.1%	79.2%
55	90.1%	89.1%	91%	76.6%	73.2%	80%
54	90.7%	89.8%	91.5%	77.5%	74.3%	80.8%
53	91.3%	90.5%	92%	78.4%	75.3%	81.5%
52	91.8%	91.1%	92.4%	79.2%	76.2%	82.2%
51	92.3%	91.7%	92.8%	79.9%	77.1%	82.8%
50	92.7%	92.2%	93.2%	80.7%	78%	83.4%
49	93.1%	92.6%	93.5%	81.3%	78.8%	84%
48	93.4%	93%	93.8%	82%	79.5%	84.5%
47	93.8%	93.4%	94.1%	82.6%	80.2%	85%
46	94%	93.7%	94.3%	83.1%	80.9%	85.4%
45	94.3%	94%	94.5%	83.7%	81.5%	85.9%
44	94.5%	94.2%	94.7%	84.2%	82.1%	86.3%
43	94.7%	94.4%	94.9%	84.7%	82.7%	86.7%
42	94.9%	94.6%	95.1%	85.1%	83.2%	87.1%
41	95.1%	94.8%	95.3%	85.6%	83.7%	87.5%
40	95.2%	95%	95.5%	86%	84.2%	87.8%
39	95.4%	95.1%	95.6%	86.4%	84.7%	88.1%
38	95.5%	95.3%	95.7%	86.8%	85.1%	88.5%
37	95.6%	95.4%	95.8%	87.1%	85.5%	88.8%
36	95.7%	95.5%	95.9%	87.5%	85.9%	89%
35	95.9%	95.6%	96%	87.8%	86.3%	89.3%
34	96%	95.8%	96.1%	88.1%	86.7%	89.6%
33	96.1%	95.9%	96.2%	88.4%	87%	89.8%
32	96.2%	96%	96.3%	88.7%	87.4%	90.1%
31	96.3%	96.1%	96.4%	89%	87.7%	90.3%
30	96.3%	96.2%	96.5%	89.2%	88%	90.5%
29	96.4%	96.3%	96.5%	89.5%	88.3%	90.7%
28	96.5%	96.4%	96.6%	89.7%	88.6%	90.9%
27	96.6%	96.5%	96.7%	90%	88.9%	91.1%
26	96.7%	96.6%	96.8%	90.2%	89.1%	91.3%
25	96.7%	96.7%	96.8%	90.4%	89.4%	91.5%
24	96.8%	96.7%	96.9%	90.7%	89.7%	91.7%
23	96.9%	96.8%	97%	90.9%	89.9%	91.8%
22	97%	96.9%	97%	91.1%	90.2%	92%
21	97%	97%	97.1%	91.3%	90.4%	92.2%
20	97.1%	97.1%	97.2%	91.5%	90.6%	92.3%
19	97.2%	97.2%	97.3%	91.6%	90.9%	92.5%
18	97.3%	97.3%	97.4%	91.8%	91%	92.6%
17	97.4%	97.4%	97.5%	92%	91.2%	92.7%
16	97.5%	97.4%	97.6%	92.1%	91.4%	92.8%
15	97.6%	97.5%	97.6%	92.2%	91.5%	92.9%
14	97.6%	97.6%	97.7%	92.3%	91.6%	93%
13	97.7%	97.6%	97.8%	92.4%	91.7%	93.1%
12	97.7%	97.7%	97.8%	92.5%	91.8%	93.2%
11	97.8%	97.7%	97.8%	92.6%	91.9%	93.3%
10	97.8%	97.8%	97.9%	92.7%	92%	93.4%
9	97.9%	97.8%	97.9%	92.8%	92.2%	93.5%
8	97.9%	97.8%	98%	92.9%	92.3%	93.6%
7	98%	97.9%	98%	93.1%	92.4%	93.7%
6	98%	97.9%	98.1%	93.2%	92.6%	93.8%
5	98.1%	98%	98.2%	93.4%	92.8%	94%
4	98.2%	98.1%	98.3%	93.6%	93%	94.2%
3	98.2%	98.1%	98.3%	94%	93.4%	94.6%
2	98.3%	98.2%	98.4%	94.5%	94%	95.1%
1	98.5%	98.4%	98.6%	95.3%	94.8%	95.9%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 71.3% in Guinea-Bissau are expected to live past 60, 73.4% and 54.3% past 70, 49% and 27.5% past 80, and only 16.8% and 5.32% 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

Guinea-Bissau

Male

Female

1x

Age	Probability of dying
	Bangladesh			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	37.5%	38.9%	36.9%
99	36.9%	43.4%	35%	36.1%	37.5%	35.4%
98	33.8%	39.5%	31.9%	34.2%	35.7%	33.5%
97	30.9%	36%	29%	32.8%	34.3%	32%
96	28.2%	32.7%	26.3%	31.3%	32.8%	30.5%
95	25.7%	29.8%	23.8%	29.7%	31.3%	28.9%
94	23.5%	27.1%	21.6%	28%	29.6%	27.1%
93	21.4%	24.7%	19.6%	26.3%	28%	25.5%
92	19.5%	22.5%	17.9%	24.8%	26.4%	23.9%
91	17.8%	20.5%	16.2%	23.1%	24.8%	22.2%
90	16.3%	18.7%	14.7%	22.1%	23.6%	21.2%
89	14.8%	17.1%	13.3%	20.4%	22%	19.5%
88	13.5%	15.6%	12.1%	19.2%	20.7%	18.3%
87	12.3%	14.3%	10.9%	17.9%	19.3%	17%
86	11.2%	13%	9.89%	16.7%	18.1%	15.9%
85	10.2%	11.9%	8.97%	15.5%	16.8%	14.7%
84	9.3%	10.8%	8.14%	14.4%	15.7%	13.6%
83	8.45%	9.74%	7.4%	13.2%	14.5%	12.4%
82	7.68%	8.82%	6.72%	12.2%	13.4%	11.4%
81	6.98%	8.01%	6.1%	11%	12.2%	10.3%
80	6.36%	7.29%	5.53%	10.3%	11.4%	9.62%
79	5.8%	6.68%	5.02%	9.4%	10.5%	8.71%
78	5.29%	6.12%	4.54%	8.69%	9.71%	8.04%
77	4.82%	5.61%	4.11%	7.9%	8.89%	7.28%
76	4.39%	5.14%	3.73%	7.28%	8.22%	6.7%
75	3.99%	4.69%	3.37%	6.69%	7.58%	6.14%
74	3.64%	4.27%	3.06%	6.1%	6.96%	5.58%
73	3.32%	3.87%	2.78%	5.56%	6.39%	5.07%
72	3.02%	3.49%	2.54%	5.1%	5.88%	4.63%
71	2.74%	3.15%	2.32%	4.57%	5.32%	4.12%
70	2.49%	2.82%	2.13%	4.26%	4.97%	3.84%
69	2.26%	2.53%	1.96%	3.82%	4.5%	3.4%
68	2.05%	2.28%	1.81%	3.51%	4.15%	3.11%
67	1.87%	2.07%	1.66%	3.2%	3.82%	2.82%
66	1.72%	1.9%	1.52%	2.94%	3.52%	2.57%
65	1.58%	1.78%	1.38%	2.73%	3.28%	2.37%
64	1.47%	1.69%	1.24%	2.51%	3.02%	2.16%
63	1.38%	1.63%	1.11%	2.31%	2.79%	1.97%
62	1.29%	1.57%	0.99%	2.13%	2.58%	1.8%
61	1.21%	1.51%	0.89%	1.94%	2.35%	1.62%
60	1.12%	1.43%	0.81%	1.82%	2.2%	1.52%
59	1.04%	1.33%	0.74%	1.65%	2.01%	1.36%
58	0.96%	1.23%	0.69%	1.53%	1.86%	1.26%
57	0.88%	1.12%	0.64%	1.41%	1.72%	1.15%
56	0.8%	1.01%	0.6%	1.32%	1.61%	1.08%
55	0.74%	0.91%	0.57%	1.24%	1.51%	1%
54	0.68%	0.83%	0.54%	1.16%	1.42%	0.94%
53	0.62%	0.75%	0.5%	1.09%	1.33%	0.88%
52	0.57%	0.68%	0.47%	1.03%	1.25%	0.83%
51	0.52%	0.61%	0.44%	0.94%	1.15%	0.76%
50	0.47%	0.55%	0.4%	0.9%	1.09%	0.72%
49	0.42%	0.48%	0.36%	0.83%	1.01%	0.66%
48	0.37%	0.43%	0.32%	0.77%	0.94%	0.62%
47	0.33%	0.37%	0.28%	0.72%	0.88%	0.58%
46	0.29%	0.33%	0.25%	0.68%	0.82%	0.54%
45	0.26%	0.29%	0.23%	0.65%	0.78%	0.52%
44	0.23%	0.26%	0.21%	0.61%	0.73%	0.49%
43	0.22%	0.23%	0.2%	0.57%	0.69%	0.46%
42	0.2%	0.21%	0.19%	0.55%	0.65%	0.45%
41	0.19%	0.19%	0.18%	0.51%	0.61%	0.42%
40	0.17%	0.18%	0.17%	0.49%	0.58%	0.4%
39	0.16%	0.16%	0.15%	0.46%	0.55%	0.38%
38	0.14%	0.15%	0.14%	0.44%	0.52%	0.36%
37	0.13%	0.14%	0.12%	0.41%	0.49%	0.34%
36	0.12%	0.13%	0.11%	0.39%	0.47%	0.32%
35	0.11%	0.13%	0.1%	0.37%	0.44%	0.31%
34	0.11%	0.12%	0.09%	0.36%	0.42%	0.29%
33	0.1%	0.12%	0.09%	0.34%	0.4%	0.28%
32	0.1%	0.12%	0.09%	0.32%	0.38%	0.27%
31	0.1%	0.12%	0.09%	0.31%	0.36%	0.25%
30	0.1%	0.11%	0.09%	0.3%	0.35%	0.24%
29	0.09%	0.11%	0.08%	0.28%	0.34%	0.23%
28	0.09%	0.1%	0.08%	0.28%	0.33%	0.22%
27	0.08%	0.09%	0.07%	0.27%	0.32%	0.22%
26	0.08%	0.08%	0.07%	0.26%	0.31%	0.21%
25	0.07%	0.08%	0.07%	0.25%	0.3%	0.2%
24	0.07%	0.08%	0.07%	0.24%	0.3%	0.19%
23	0.08%	0.08%	0.07%	0.24%	0.29%	0.18%
22	0.08%	0.08%	0.07%	0.23%	0.28%	0.18%
21	0.08%	0.09%	0.08%	0.22%	0.26%	0.17%
20	0.09%	0.09%	0.09%	0.21%	0.25%	0.16%
19	0.09%	0.1%	0.09%	0.19%	0.23%	0.15%
18	0.1%	0.1%	0.09%	0.18%	0.21%	0.14%
17	0.09%	0.09%	0.09%	0.16%	0.19%	0.13%
16	0.09%	0.09%	0.09%	0.14%	0.16%	0.12%
15	0.08%	0.08%	0.08%	0.13%	0.14%	0.11%
14	0.07%	0.07%	0.07%	0.12%	0.13%	0.1%
13	0.06%	0.05%	0.06%	0.11%	0.12%	0.1%
12	0.05%	0.04%	0.05%	0.1%	0.11%	0.09%
11	0.04%	0.04%	0.04%	0.1%	0.11%	0.09%
10	0.04%	0.03%	0.04%	0.11%	0.12%	0.09%
9	0.04%	0.04%	0.04%	0.11%	0.12%	0.1%
8	0.05%	0.04%	0.05%	0.12%	0.13%	0.11%
7	0.06%	0.05%	0.06%	0.14%	0.15%	0.13%
6	0.07%	0.07%	0.07%	0.17%	0.18%	0.15%
5	0.08%	0.07%	0.08%	0.2%	0.21%	0.19%
4	0.07%	0.07%	0.08%	0.26%	0.28%	0.25%
3	0.06%	0.06%	0.07%	0.37%	0.4%	0.35%
2	0.07%	0.07%	0.07%	0.54%	0.58%	0.5%
1	0.18%	0.18%	0.17%	0.88%	0.94%	0.83%
0	1.53%	1.61%	1.44%	4.65%	5.15%	4.15%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 4.65% in Guinea-Bissau, 0.1% vs 0.3% at age 30, 1.12% vs 1.82% at 60, and 6.36% vs 10.3% at 80.

Death rate by age in Bangladesh vs Guinea-Bissau

Chart Table

Bangladesh

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Death rate
	Bangladesh			Guinea-Bissau
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	10.5	0	24.3
99	504	274.2	753	98	57.6	136.6
98	698	414	1,006	141.4	85.4	194.6
97	924	588	1,288	201.5	124.9	273.7
96	1,175	796	1,587	279.6	177.9	375
95	1,440	1,030	1,887	377	246.6	499
94	1,718	1,287	2,186	493	331	643
93	1,995	1,557	2,471	631	435	810
92	2,264	1,828	2,735	791	558	1,001
91	2,514	2,095	2,969	959	695	1,195
90	2,738	2,353	3,155	1,173	865	1,447
89	2,932	2,596	3,297	1,366	1,035	1,657
88	3,093	2,815	3,394	1,587	1,228	1,900
87	3,217	3,003	3,447	1,803	1,424	2,129
86	3,301	3,148	3,465	2,022	1,627	2,357
85	3,347	3,247	3,451	2,219	1,819	2,554
84	3,355	3,299	3,412	2,407	2,014	2,732
83	3,331	3,310	3,348	2,545	2,169	2,850
82	3,279	3,289	3,261	2,671	2,318	2,955
81	3,205	3,246	3,153	2,719	2,409	2,966
80	3,114	3,189	3,027	2,842	2,546	3,078
79	3,015	3,128	2,889	2,853	2,605	3,052
78	2,903	3,054	2,742	2,888	2,674	3,064
77	2,781	2,966	2,589	2,852	2,688	2,994
76	2,649	2,862	2,434	2,832	2,707	2,950
75	2,510	2,740	2,281	2,789	2,702	2,883
74	2,374	2,605	2,137	2,710	2,666	2,774
73	2,238	2,458	1,998	2,618	2,614	2,655
72	2,099	2,301	1,868	2,527	2,557	2,542
71	1,961	2,138	1,748	2,375	2,444	2,361
70	1,826	1,974	1,638	2,313	2,399	2,287
69	1,697	1,817	1,540	2,152	2,277	2,096
68	1,574	1,674	1,445	2,051	2,193	1,979
67	1,463	1,551	1,351	1,934	2,096	1,843
66	1,364	1,452	1,255	1,830	2,002	1,725
65	1,278	1,382	1,154	1,748	1,928	1,631
64	1,206	1,339	1,052	1,645	1,832	1,517
63	1,143	1,310	953	1,551	1,740	1,414
62	1,085	1,285	861	1,463	1,651	1,319
61	1,028	1,253	781	1,354	1,541	1,204
60	968	1,203	714	1,297	1,477	1,147
59	906	1,138	659	1,195	1,374	1,041
58	841	1,059	615	1,127	1,299	974
57	778	975	577	1,055	1,223	903
56	718	892	545	1,002	1,164	854
55	664	814	516	949	1,106	803
54	615	743	490	903	1,054	760
53	570	679	464	854	1,000	715
52	526	618	437	812	952	680
51	482	560	406	755	890	627
50	437	503	371	724	853	602
49	391	448	334	673	794	555
48	347	396	296.7	635	748	523
47	307	349	263.5	596	702	489
46	272.6	308	235.8	565	663	465
45	244	272.8	214.7	540	633	445
44	221.8	243.8	200.3	510	597	422
43	204.5	219.6	190.2	486	566	403
42	190.1	199.2	181.9	467	543	389
41	177.1	181.7	173	438	509	364
40	164	166.5	161.7	423	492	353
39	149.7	153.1	146.8	399	463	332
38	135.6	141.5	130.4	381	442	318
37	123.1	132.1	115.1	360	420	300
36	112.9	124.8	102.4	345	401	287.1
35	105.6	119.7	93.2	329	383	273.7
34	101.3	116.7	87.9	313	364	260.9
33	99.2	115.2	85.6	299.4	348	249.4
32	98.3	114.1	85	287.1	334	238.9
31	97.4	112.5	84.9	272.8	318	226.6
30	95.3	109.1	84	265.8	309	221
29	90.9	103.1	81.1	254.6	297.3	210.8
28	85.2	95.6	76.8	247.1	288.9	204.1
27	79.3	88.1	72.3	239.2	281.1	196.1
26	74.5	81.9	68.5	232.7	275	189.2
25	71.7	78	66.4	226.7	269.7	182.4
24	71	76.7	66.2	220.9	264.6	175.9
23	73	78.2	68.4	214.4	258.3	169.1
22	76.9	81.7	72.4	207.1	250.3	162.5
21	81.9	86.3	77.8	198.1	239.1	155.7
20	87.2	90.9	83.5	187.7	225.3	148.9
19	91.1	93.9	88.3	175.7	208.8	141.4
18	92.8	94.5	91	162.7	190.8	133.7
17	91.4	92	90.8	147.6	170	124.3
16	86.6	86.2	87	133.3	150.2	115.7
15	78	77	79	118.9	131.9	105.5
14	66.5	65.4	67.8	108.2	118.9	97
13	54.3	53.3	55.5	100.2	109.3	90.8
12	44.1	43.2	45.1	95.9	104.1	87.3
11	37.7	36.8	38.7	94.7	102.7	86.4
10	34.4	33.5	35.3	97.5	106.1	88.5
9	36.2	35	37.5	103.7	113.1	93.9
8	44.9	42.8	47	114.4	124.3	104.1
7	56.8	53.6	60.1	130.9	141.4	119.9
6	67.8	63.8	72.1	154.2	165.3	142.6
5	74.1	69.7	78.7	187.5	199.5	175
4	71.7	67.9	75.7	247.5	262.6	231.7
3	61.4	58.9	63.9	349	371	327
2	70.1	68.9	71.4	511	542	480
1	172.9	175.4	170.2	843	888	797
0	1,530	1,613	1,443	4,655	5,152	4,147

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-Bissau. The median age of death is 79.7 in Bangladesh and 71.8 in Guinea-Bissau, 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-Bissau more than their death rates.

Life expectancy in other countries

+ -

1x