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

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Equatorial Guinea

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.9	101.8	101.9
99	101.2	100.9	101.3	101	100.9	101
98	100.3	99.9	100.4	100.1	100.1	100.1
97	99.4	99.1	99.6	99.2	99.2	99.2
96	98.6	98.2	98.8	98.3	98.3	98.3
95	97.8	97.4	98	97.4	97.4	97.4
94	97	96.6	97.2	96.5	96.5	96.5
93	96.3	95.9	96.5	95.7	95.6	95.7
92	95.5	95.1	95.8	94.8	94.8	94.9
91	94.8	94.4	95.1	94	94	94
90	94.1	93.6	94.4	93.2	93.1	93.2
89	93.4	92.9	93.8	92.4	92.3	92.4
88	92.8	92.2	93.1	91.6	91.5	91.6
87	92.1	91.6	92.5	90.8	90.7	90.9
86	91.5	90.9	91.9	90	89.9	90.1
85	90.9	90.3	91.3	89.3	89.2	89.4
84	90.3	89.6	90.8	88.6	88.4	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	86.6
80	88.1	87.4	88.7	85.8	85.6	86
79	87.6	86.8	88.3	85.2	85	85.4
78	87.1	86.3	87.8	84.6	84.4	84.8
77	86.7	85.8	87.4	84	83.7	84.2
76	86.2	85.4	87	83.4	83.1	83.7
75	85.8	84.9	86.6	82.9	82.6	83.1
74	85.4	84.5	86.2	82.3	82	82.6
73	85	84	85.9	81.8	81.4	82.1
72	84.6	83.6	85.5	81.3	80.9	81.6
71	84.2	83.2	85.2	80.8	80.4	81.2
70	83.9	82.9	84.9	80.3	79.9	80.7
69	83.6	82.5	84.6	79.9	79.4	80.3
68	83.3	82.2	84.3	79.5	79	79.9
67	83	81.9	84	79	78.6	79.5
66	82.7	81.6	83.8	78.7	78.1	79.2
65	82.4	81.3	83.5	78.3	77.7	78.8
64	82.2	81.1	83.3	77.9	77.3	78.5
63	81.9	80.8	83.1	77.5	76.9	78.1
62	81.6	80.5	82.9	77.2	76.6	77.8
61	81.4	80.2	82.7	76.9	76.2	77.6
60	81.2	79.9	82.5	76.6	75.9	77.3
59	80.9	79.6	82.3	76.3	75.6	77
58	80.7	79.4	82.2	76	75.2	76.8
57	80.5	79.1	82	75.7	74.9	76.5
56	80.3	78.9	81.8	75.4	74.7	76.3
55	80.1	78.7	81.7	75.2	74.4	76.1
54	80	78.5	81.5	74.9	74.1	75.9
53	79.8	78.3	81.4	74.7	73.8	75.6
52	79.7	78.1	81.3	74.5	73.6	75.4
51	79.5	78	81.1	74.2	73.3	75.3
50	79.4	77.8	81	74	73.1	75.1
49	79.2	77.7	80.9	73.8	72.9	74.9
48	79.1	77.6	80.8	73.6	72.7	74.7
47	79	77.4	80.7	73.4	72.5	74.6
46	78.9	77.3	80.6	73.2	72.3	74.4
45	78.8	77.3	80.5	73.1	72.1	74.2
44	78.8	77.2	80.5	72.9	71.9	74.1
43	78.7	77.1	80.4	72.7	71.7	73.9
42	78.6	77	80.3	72.5	71.5	73.8
41	78.5	77	80.2	72.4	71.4	73.7
40	78.5	76.9	80.2	72.2	71.2	73.5
39	78.4	76.8	80.1	72.1	71	73.4
38	78.4	76.8	80.1	72	70.9	73.3
37	78.3	76.7	80	71.8	70.7	73.2
36	78.3	76.7	80	71.7	70.6	73
35	78.2	76.6	79.9	71.6	70.4	72.9
34	78.2	76.6	79.9	71.4	70.3	72.8
33	78.1	76.5	79.8	71.3	70.2	72.7
32	78.1	76.5	79.8	71.2	70.1	72.6
31	78	76.4	79.8	71.1	69.9	72.5
30	78	76.4	79.7	71	69.8	72.4
29	77.9	76.3	79.7	70.8	69.7	72.3
28	77.9	76.3	79.6	70.7	69.6	72.2
27	77.8	76.2	79.6	70.6	69.4	72.1
26	77.8	76.2	79.6	70.5	69.3	72
25	77.8	76.1	79.5	70.4	69.2	71.9
24	77.7	76.1	79.5	70.3	69.1	71.8
23	77.7	76	79.4	70.2	68.9	71.8
22	77.6	76	79.4	70.1	68.8	71.7
21	77.6	75.9	79.3	70	68.7	71.6
20	77.5	75.9	79.3	69.9	68.6	71.5
19	77.5	75.8	79.2	69.8	68.5	71.4
18	77.4	75.8	79.2	69.7	68.4	71.4
17	77.4	75.7	79.1	69.6	68.3	71.3
16	77.3	75.7	79.1	69.6	68.2	71.2
15	77.3	75.6	79	69.5	68.2	71.2
14	77.2	75.6	79	69.5	68.1	71.1
13	77.2	75.6	78.9	69.4	68	71.1
12	77.2	75.5	78.9	69.3	68	71
11	77.1	75.5	78.9	69.3	67.9	71
10	77.1	75.5	78.9	69.2	67.9	70.9
9	77.1	75.5	78.8	69.2	67.8	70.9
8	77.1	75.4	78.8	69.1	67.7	70.8
7	77	75.4	78.8	69	67.6	70.7
6	77	75.3	78.7	68.9	67.5	70.6
5	76.9	75.3	78.6	68.8	67.4	70.5
4	76.9	75.2	78.6	68.7	67.3	70.4
3	76.8	75.2	78.5	68.5	67	70.2
2	76.8	75.2	78.5	68.2	66.7	69.9
1	76.6	75	78.3	67.7	66.2	69.4
0	75.5	73.8	77.2	64.3	62.6	66.3

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 in Equatorial Guinea, rising to 82.4 and 78.3 at 65, and to 88.1 and 85.8 at 80 — higher than the 75.5 and 64.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Equatorial Guinea

Male

Female

1x

Age	Survival probability
	Bangladesh			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.11%	0.08%	0.14%
99	1.37%	0.63%	2.15%	0.18%	0.14%	0.22%
98	2.06%	1.05%	3.16%	0.28%	0.22%	0.35%
97	2.99%	1.63%	4.44%	0.43%	0.33%	0.54%
96	4.16%	2.43%	6.03%	0.65%	0.5%	0.81%
95	5.6%	3.46%	7.92%	0.95%	0.74%	1.18%
94	7.32%	4.75%	10.1%	1.35%	1.06%	1.67%
93	9.32%	6.3%	12.6%	1.88%	1.48%	2.32%
92	11.6%	8.13%	15.3%	2.56%	2.03%	3.14%
91	14.1%	10.2%	18.3%	3.4%	2.72%	4.15%
90	16.8%	12.6%	21.4%	4.44%	3.58%	5.4%
89	19.8%	15.2%	24.7%	5.68%	4.62%	6.87%
88	22.9%	18%	28.1%	7.14%	5.86%	8.58%
87	26.1%	21%	31.6%	8.83%	7.31%	10.5%
86	29.4%	24.1%	35%	10.7%	8.96%	12.7%
85	32.7%	27.4%	38.5%	12.8%	10.8%	15.2%
84	36.1%	30.7%	41.9%	15.2%	12.9%	17.8%
83	39.4%	34%	45.2%	17.6%	15.1%	20.6%
82	42.7%	37.3%	48.5%	20.2%	17.5%	23.5%
81	45.9%	40.5%	51.7%	22.9%	19.9%	26.4%
80	49%	43.7%	54.7%	25.7%	22.6%	29.5%
79	52%	46.8%	57.6%	28.6%	25.2%	32.6%
78	54.9%	49.9%	60.3%	31.5%	28%	35.7%
77	57.7%	52.9%	62.9%	34.4%	30.7%	38.7%
76	60.4%	55.7%	65.3%	37.3%	33.5%	41.8%
75	62.9%	58.5%	67.6%	40.1%	36.3%	44.7%
74	65.2%	61.1%	69.8%	42.9%	39%	47.6%
73	67.5%	63.5%	71.8%	45.6%	41.7%	50.4%
72	69.6%	65.8%	73.6%	48.2%	44.3%	53.1%
71	71.5%	68%	75.4%	50.7%	46.8%	55.6%
70	73.4%	69.9%	77%	53.1%	49.3%	58%
69	75.1%	71.8%	78.6%	55.4%	51.6%	60.2%
68	76.6%	73.4%	80%	57.6%	53.8%	62.3%
67	78.1%	75%	81.4%	59.6%	56%	64.3%
66	79.5%	76.4%	82.6%	61.6%	58%	66.1%
65	80.7%	77.8%	83.8%	63.4%	60%	67.9%
64	81.9%	79.2%	84.8%	65.2%	61.8%	69.5%
63	83.1%	80.5%	85.8%	66.8%	63.6%	71%
62	84.2%	81.8%	86.6%	68.4%	65.2%	72.4%
61	85.2%	83%	87.4%	69.8%	66.8%	73.7%
60	86.2%	84.2%	88.1%	71.2%	68.3%	74.9%
59	87.1%	85.4%	88.8%	72.5%	69.6%	76.1%
58	87.9%	86.4%	89.4%	73.6%	70.9%	77.1%
57	88.7%	87.4%	90%	74.8%	72.2%	78.1%
56	89.4%	88.3%	90.5%	75.8%	73.3%	79%
55	90.1%	89.1%	91%	76.8%	74.4%	79.8%
54	90.7%	89.8%	91.5%	77.7%	75.4%	80.7%
53	91.3%	90.5%	92%	78.6%	76.4%	81.4%
52	91.8%	91.1%	92.4%	79.5%	77.3%	82.1%
51	92.3%	91.7%	92.8%	80.3%	78.2%	82.8%
50	92.7%	92.2%	93.2%	81%	79%	83.4%
49	93.1%	92.6%	93.5%	81.7%	79.8%	84%
48	93.4%	93%	93.8%	82.3%	80.5%	84.5%
47	93.8%	93.4%	94.1%	82.9%	81.2%	85.1%
46	94%	93.7%	94.3%	83.5%	81.8%	85.5%
45	94.3%	94%	94.5%	84.1%	82.4%	86%
44	94.5%	94.2%	94.7%	84.6%	82.9%	86.4%
43	94.7%	94.4%	94.9%	85.1%	83.5%	86.8%
42	94.9%	94.6%	95.1%	85.5%	84%	87.2%
41	95.1%	94.8%	95.3%	85.9%	84.4%	87.6%
40	95.2%	95%	95.5%	86.4%	84.9%	88%
39	95.4%	95.1%	95.6%	86.7%	85.3%	88.3%
38	95.5%	95.3%	95.7%	87.1%	85.7%	88.6%
37	95.6%	95.4%	95.8%	87.5%	86.1%	88.9%
36	95.7%	95.5%	95.9%	87.8%	86.5%	89.2%
35	95.9%	95.6%	96%	88.1%	86.8%	89.5%
34	96%	95.8%	96.1%	88.4%	87.2%	89.7%
33	96.1%	95.9%	96.2%	88.7%	87.5%	90%
32	96.2%	96%	96.3%	89%	87.8%	90.2%
31	96.3%	96.1%	96.4%	89.2%	88.1%	90.4%
30	96.3%	96.2%	96.5%	89.5%	88.3%	90.7%
29	96.4%	96.3%	96.5%	89.7%	88.6%	90.9%
28	96.5%	96.4%	96.6%	89.9%	88.9%	91.1%
27	96.6%	96.5%	96.7%	90.2%	89.1%	91.3%
26	96.7%	96.6%	96.8%	90.4%	89.4%	91.4%
25	96.7%	96.7%	96.8%	90.6%	89.6%	91.6%
24	96.8%	96.7%	96.9%	90.8%	89.9%	91.8%
23	96.9%	96.8%	97%	91%	90.1%	92%
22	97%	96.9%	97%	91.2%	90.3%	92.1%
21	97%	97%	97.1%	91.4%	90.6%	92.3%
20	97.1%	97.1%	97.2%	91.6%	90.8%	92.4%
19	97.2%	97.2%	97.3%	91.8%	91%	92.5%
18	97.3%	97.3%	97.4%	91.9%	91.2%	92.7%
17	97.4%	97.4%	97.5%	92%	91.3%	92.8%
16	97.5%	97.4%	97.6%	92.2%	91.5%	92.9%
15	97.6%	97.5%	97.6%	92.3%	91.6%	93%
14	97.6%	97.6%	97.7%	92.4%	91.7%	93.1%
13	97.7%	97.6%	97.8%	92.5%	91.8%	93.2%
12	97.7%	97.7%	97.8%	92.6%	91.9%	93.2%
11	97.8%	97.7%	97.8%	92.6%	92%	93.3%
10	97.8%	97.8%	97.9%	92.7%	92.1%	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%	92.4%	93.7%
6	98%	97.9%	98.1%	93.2%	92.6%	93.8%
5	98.1%	98%	98.2%	93.4%	92.7%	94%
4	98.2%	98.1%	98.3%	93.6%	93%	94.2%
3	98.2%	98.1%	98.3%	93.9%	93.3%	94.5%
2	98.3%	98.2%	98.4%	94.3%	93.8%	94.9%
1	98.5%	98.4%	98.6%	95%	94.5%	95.5%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 71.2% in Equatorial Guinea are expected to live past 60, 73.4% and 53.1% past 70, 49% and 25.7% past 80, and only 16.8% and 4.44% 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

Equatorial Guinea

Male

Female

1x

Age	Probability of dying
	Bangladesh			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	40%	39.9%	40.2%
99	36.9%	43.4%	35%	38.5%	38.4%	38.5%
98	33.8%	39.5%	31.9%	36.6%	36.6%	36.6%
97	30.9%	36%	29%	35%	35.2%	34.9%
96	28.2%	32.7%	26.3%	33.4%	33.6%	33.3%
95	25.7%	29.8%	23.8%	31.7%	32%	31.5%
94	23.5%	27.1%	21.6%	29.9%	30.3%	29.6%
93	21.4%	24.7%	19.6%	28.2%	28.6%	27.9%
92	19.5%	22.5%	17.9%	26.5%	27.1%	26.2%
91	17.8%	20.5%	16.2%	24.7%	25.3%	24.4%
90	16.3%	18.7%	14.7%	23.5%	24.1%	23.1%
89	14.8%	17.1%	13.3%	21.8%	22.5%	21.4%
88	13.5%	15.6%	12.1%	20.5%	21.1%	20%
87	12.3%	14.3%	10.9%	19.1%	19.7%	18.6%
86	11.2%	13%	9.89%	17.8%	18.5%	17.3%
85	10.2%	11.9%	8.97%	16.4%	17.1%	16%
84	9.3%	10.8%	8.14%	15.2%	16%	14.7%
83	8.45%	9.74%	7.4%	14%	14.7%	13.5%
82	7.68%	8.82%	6.72%	12.9%	13.6%	12.4%
81	6.98%	8.01%	6.1%	11.7%	12.4%	11.2%
80	6.36%	7.29%	5.53%	11%	11.6%	10.4%
79	5.8%	6.68%	5.02%	9.99%	10.6%	9.46%
78	5.29%	6.12%	4.54%	9.23%	9.82%	8.71%
77	4.82%	5.61%	4.11%	8.41%	8.99%	7.9%
76	4.39%	5.14%	3.73%	7.74%	8.3%	7.26%
75	3.99%	4.69%	3.37%	7.11%	7.64%	6.65%
74	3.64%	4.27%	3.06%	6.49%	7.01%	6.04%
73	3.32%	3.87%	2.78%	5.93%	6.43%	5.49%
72	3.02%	3.49%	2.54%	5.43%	5.91%	5.02%
71	2.74%	3.15%	2.32%	4.89%	5.34%	4.49%
70	2.49%	2.82%	2.13%	4.55%	4.97%	4.16%
69	2.26%	2.53%	1.96%	4.1%	4.51%	3.7%
68	2.05%	2.28%	1.81%	3.77%	4.15%	3.38%
67	1.87%	2.07%	1.66%	3.44%	3.81%	3.06%
66	1.72%	1.9%	1.52%	3.15%	3.51%	2.79%
65	1.58%	1.78%	1.38%	2.93%	3.26%	2.57%
64	1.47%	1.69%	1.24%	2.68%	3%	2.34%
63	1.38%	1.63%	1.11%	2.46%	2.77%	2.13%
62	1.29%	1.57%	0.99%	2.27%	2.55%	1.95%
61	1.21%	1.51%	0.89%	2.06%	2.32%	1.76%
60	1.12%	1.43%	0.81%	1.92%	2.17%	1.64%
59	1.04%	1.33%	0.74%	1.74%	1.97%	1.47%
58	0.96%	1.23%	0.69%	1.62%	1.83%	1.36%
57	0.88%	1.12%	0.64%	1.49%	1.69%	1.24%
56	0.8%	1.01%	0.6%	1.39%	1.57%	1.16%
55	0.74%	0.91%	0.57%	1.3%	1.47%	1.07%
54	0.68%	0.83%	0.54%	1.21%	1.37%	1%
53	0.62%	0.75%	0.5%	1.13%	1.28%	0.93%
52	0.57%	0.68%	0.47%	1.06%	1.2%	0.87%
51	0.52%	0.61%	0.44%	0.97%	1.1%	0.8%
50	0.47%	0.55%	0.4%	0.92%	1.04%	0.75%
49	0.42%	0.48%	0.36%	0.84%	0.95%	0.69%
48	0.37%	0.43%	0.32%	0.79%	0.89%	0.65%
47	0.33%	0.37%	0.28%	0.73%	0.82%	0.6%
46	0.29%	0.33%	0.25%	0.68%	0.77%	0.56%
45	0.26%	0.29%	0.23%	0.64%	0.72%	0.53%
44	0.23%	0.26%	0.21%	0.6%	0.67%	0.5%
43	0.22%	0.23%	0.2%	0.57%	0.63%	0.48%
42	0.2%	0.21%	0.19%	0.54%	0.6%	0.45%
41	0.19%	0.19%	0.18%	0.5%	0.56%	0.42%
40	0.17%	0.18%	0.17%	0.48%	0.53%	0.41%
39	0.16%	0.16%	0.15%	0.45%	0.5%	0.38%
38	0.14%	0.15%	0.14%	0.42%	0.47%	0.36%
37	0.13%	0.14%	0.12%	0.4%	0.44%	0.34%
36	0.12%	0.13%	0.11%	0.38%	0.42%	0.32%
35	0.11%	0.13%	0.1%	0.36%	0.4%	0.31%
34	0.11%	0.12%	0.09%	0.34%	0.38%	0.29%
33	0.1%	0.12%	0.09%	0.32%	0.36%	0.27%
32	0.1%	0.12%	0.09%	0.31%	0.35%	0.26%
31	0.1%	0.12%	0.09%	0.29%	0.33%	0.25%
30	0.1%	0.11%	0.09%	0.28%	0.32%	0.24%
29	0.09%	0.11%	0.08%	0.27%	0.31%	0.23%
28	0.09%	0.1%	0.08%	0.26%	0.3%	0.22%
27	0.08%	0.09%	0.07%	0.25%	0.29%	0.21%
26	0.08%	0.08%	0.07%	0.24%	0.28%	0.2%
25	0.07%	0.08%	0.07%	0.24%	0.28%	0.19%
24	0.07%	0.08%	0.07%	0.23%	0.27%	0.18%
23	0.08%	0.08%	0.07%	0.22%	0.27%	0.18%
22	0.08%	0.08%	0.07%	0.22%	0.26%	0.17%
21	0.08%	0.09%	0.08%	0.21%	0.25%	0.16%
20	0.09%	0.09%	0.09%	0.19%	0.23%	0.15%
19	0.09%	0.1%	0.09%	0.18%	0.22%	0.15%
18	0.1%	0.1%	0.09%	0.17%	0.2%	0.14%
17	0.09%	0.09%	0.09%	0.15%	0.18%	0.13%
16	0.09%	0.09%	0.09%	0.14%	0.15%	0.12%
15	0.08%	0.08%	0.08%	0.12%	0.13%	0.11%
14	0.07%	0.07%	0.07%	0.11%	0.12%	0.1%
13	0.06%	0.05%	0.06%	0.1%	0.11%	0.09%
12	0.05%	0.04%	0.05%	0.09%	0.1%	0.09%
11	0.04%	0.04%	0.04%	0.09%	0.1%	0.08%
10	0.04%	0.03%	0.04%	0.1%	0.1%	0.09%
9	0.04%	0.04%	0.04%	0.1%	0.11%	0.09%
8	0.05%	0.04%	0.05%	0.11%	0.12%	0.1%
7	0.06%	0.05%	0.06%	0.13%	0.14%	0.11%
6	0.07%	0.07%	0.07%	0.15%	0.16%	0.13%
5	0.08%	0.07%	0.08%	0.18%	0.19%	0.16%
4	0.07%	0.07%	0.08%	0.23%	0.25%	0.22%
3	0.06%	0.06%	0.07%	0.32%	0.34%	0.3%
2	0.07%	0.07%	0.07%	0.46%	0.49%	0.44%
1	0.18%	0.18%	0.17%	0.76%	0.8%	0.72%
0	1.53%	1.61%	1.44%	4.97%	5.49%	4.45%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 4.97% in Equatorial Guinea, 0.1% vs 0.28% at age 30, 1.12% vs 1.92% at 60, and 6.36% vs 11% at 80.

Death rate by age in Bangladesh vs Equatorial Guinea

Chart Table

Bangladesh

Male

Female

Equatorial Guinea

Male

Female

1x

Age	Death rate
	Bangladesh			Equatorial Guinea
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	0
99	504	274.2	753	68.2	52.5	85.6
98	698	414	1,006	102.3	78.9	128
97	924	588	1,288	150.8	116.9	188
96	1,175	796	1,587	216	168.5	268.1
95	1,440	1,030	1,887	300	236.2	371
94	1,718	1,287	2,186	404	320	496
93	1,995	1,557	2,471	529	425	646
92	2,264	1,828	2,735	678	550	822
91	2,514	2,095	2,969	841	690	1,012
90	2,738	2,353	3,155	1,044	863	1,249
89	2,932	2,596	3,297	1,240	1,040	1,468
88	3,093	2,815	3,394	1,461	1,239	1,716
87	3,217	3,003	3,447	1,682	1,443	1,958
86	3,301	3,148	3,465	1,906	1,654	2,202
85	3,347	3,247	3,451	2,111	1,853	2,419
84	3,355	3,299	3,412	2,311	2,057	2,621
83	3,331	3,310	3,348	2,466	2,220	2,772
82	3,279	3,289	3,261	2,609	2,375	2,904
81	3,205	3,246	3,153	2,685	2,471	2,956
80	3,114	3,189	3,027	2,820	2,614	3,078
79	3,015	3,128	2,889	2,857	2,677	3,081
78	2,903	3,054	2,742	2,908	2,748	3,108
77	2,781	2,966	2,589	2,893	2,762	3,062
76	2,649	2,862	2,434	2,887	2,781	3,032
75	2,510	2,740	2,281	2,854	2,773	2,974
74	2,374	2,605	2,137	2,787	2,735	2,879
73	2,238	2,458	1,998	2,705	2,680	2,769
72	2,099	2,301	1,868	2,622	2,618	2,661
71	1,961	2,138	1,748	2,482	2,500	2,494
70	1,826	1,974	1,638	2,420	2,451	2,412
69	1,697	1,817	1,540	2,271	2,326	2,229
68	1,574	1,674	1,445	2,168	2,237	2,107
67	1,463	1,551	1,351	2,052	2,134	1,968
66	1,364	1,452	1,255	1,942	2,034	1,844
65	1,278	1,382	1,154	1,856	1,957	1,743
64	1,206	1,339	1,052	1,748	1,855	1,624
63	1,143	1,310	953	1,647	1,758	1,515
62	1,085	1,285	861	1,551	1,664	1,415
61	1,028	1,253	781	1,435	1,549	1,296
60	968	1,203	714	1,370	1,481	1,230
59	906	1,138	659	1,264	1,375	1,120
58	841	1,059	615	1,189	1,297	1,047
57	778	975	577	1,112	1,216	971
56	718	892	545	1,054	1,154	915
55	664	814	516	995	1,091	858
54	615	743	490	944	1,036	809
53	570	679	464	890	978	758
52	526	618	437	843	926	717
51	482	560	406	782	861	660
50	437	503	371	745	821	629
49	391	448	334	690	761	580
48	347	396	296.7	648	714	546
47	307	349	263.5	605	667	510
46	272.6	308	235.8	570	627	482
45	244	272.8	214.7	542	595	460
44	221.8	243.8	200.3	509	558	434
43	204.5	219.6	190.2	482	527	413
42	190.1	199.2	181.9	461	503	397
41	177.1	181.7	173	430	470	371
40	164	166.5	161.7	414	452	358
39	149.7	153.1	146.8	388	424	336
38	135.6	141.5	130.4	369	404	320
37	123.1	132.1	115.1	348	382	301
36	112.9	124.8	102.4	331	364	287.2
35	105.6	119.7	93.2	315	347	273
34	101.3	116.7	87.9	298.6	330	259
33	99.2	115.2	85.6	284.9	316	246.7
32	98.3	114.1	85	272.6	303	235.5
31	97.4	112.5	84.9	258.6	288.5	222.6
30	95.3	109.1	84	251.6	281.1	216.4
29	90.9	103.1	81.1	241	270.6	205.9
28	85.2	95.6	76.8	233.5	263.4	198.5
27	79.3	88.1	72.3	226.2	257	190.2
26	74.5	81.9	68.5	220.1	252.2	182.9
25	71.7	78	66.4	214.4	248.1	175.8
24	71	76.7	66.2	209.3	244.6	169.2
23	73	78.2	68.4	203.3	239.9	162.3
22	76.9	81.7	72.4	196.5	233.5	155.8
21	81.9	86.3	77.8	187.9	224.3	149
20	87.2	90.9	83.5	178.3	212.5	142.7
19	91.1	93.9	88.3	167.2	197.9	135.3
18	92.8	94.5	91	154.8	181.3	127.5
17	91.4	92	90.8	139.7	160.6	118.1
16	86.6	86.2	87	125.5	141.2	109.3
15	78	77	79	111	122.7	99
14	66.5	65.4	67.8	100.1	109.7	90.2
13	54.3	53.3	55.5	92	100.1	83.7
12	44.1	43.2	45.1	87.4	94.8	79.8
11	37.7	36.8	38.7	86	93.2	78.5
10	34.4	33.5	35.3	88.2	95.9	80.2
9	36.2	35	37.5	93.4	101.8	84.8
8	44.9	42.8	47	102.6	111.3	93.6
7	56.8	53.6	60.1	116.8	126.1	107.2
6	67.8	63.8	72.1	136.7	146.4	126.6
5	74.1	69.7	78.7	165.2	175.6	154.5
4	71.7	67.9	75.7	216.1	228.6	203.1
3	61.4	58.9	63.9	302	320	283.2
2	70.1	68.9	71.4	438	462	414
1	172.9	175.4	170.2	721	757	684
0	1,530	1,613	1,443	4,972	5,488	4,450

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 Equatorial Guinea. The median age of death is 79.7 in Bangladesh and 71.3 in Equatorial 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 Equatorial Guinea more than their death rates.

Life expectancy in other countries

+ -

1x