Life Expectancy in Bangladesh vs Burkina Faso (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Burkina Faso

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Burkina Faso
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.4	101.3	101.4
99	101.2	100.9	101.3	100.4	100.3	100.4
98	100.3	99.9	100.4	99.5	99.4	99.5
97	99.4	99.1	99.6	98.6	98.4	98.6
96	98.6	98.2	98.8	97.6	97.5	97.7
95	97.8	97.4	98	96.7	96.6	96.7
94	97	96.6	97.2	95.8	95.7	95.8
93	96.3	95.9	96.5	94.9	94.8	94.9
92	95.5	95.1	95.8	94	93.9	94.1
91	94.8	94.4	95.1	93.1	93	93.2
90	94.1	93.6	94.4	92.3	92.1	92.4
89	93.4	92.9	93.8	91.5	91.3	91.5
88	92.8	92.2	93.1	90.6	90.5	90.7
87	92.1	91.6	92.5	89.9	89.7	90
86	91.5	90.9	91.9	89.1	88.9	89.2
85	90.9	90.3	91.3	88.3	88.1	88.4
84	90.3	89.6	90.8	87.6	87.4	87.7
83	89.7	89	90.2	86.8	86.6	87
82	89.2	88.5	89.7	86.1	85.9	86.3
81	88.6	87.9	89.2	85.4	85.2	85.6
80	88.1	87.4	88.7	84.8	84.5	84.9
79	87.6	86.8	88.3	84.1	83.8	84.3
78	87.1	86.3	87.8	83.5	83.2	83.7
77	86.7	85.8	87.4	82.9	82.6	83.1
76	86.2	85.4	87	82.3	82	82.5
75	85.8	84.9	86.6	81.8	81.4	82
74	85.4	84.5	86.2	81.2	80.8	81.5
73	85	84	85.9	80.7	80.3	81
72	84.6	83.6	85.5	80.2	79.8	80.5
71	84.2	83.2	85.2	79.8	79.3	80.1
70	83.9	82.9	84.9	79.3	78.8	79.7
69	83.6	82.5	84.6	78.9	78.3	79.3
68	83.3	82.2	84.3	78.5	77.9	78.9
67	83	81.9	84	78.1	77.5	78.5
66	82.7	81.6	83.8	77.7	77.1	78.2
65	82.4	81.3	83.5	77.4	76.7	77.9
64	82.2	81.1	83.3	77	76.3	77.6
63	81.9	80.8	83.1	76.7	75.9	77.3
62	81.6	80.5	82.9	76.4	75.6	77
61	81.4	80.2	82.7	76.1	75.2	76.7
60	81.2	79.9	82.5	75.8	74.9	76.5
59	80.9	79.6	82.3	75.5	74.6	76.3
58	80.7	79.4	82.2	75.2	74.3	76
57	80.5	79.1	82	75	74	75.8
56	80.3	78.9	81.8	74.7	73.7	75.6
55	80.1	78.7	81.7	74.5	73.4	75.4
54	80	78.5	81.5	74.3	73.1	75.2
53	79.8	78.3	81.4	74.1	72.9	75.1
52	79.7	78.1	81.3	73.8	72.6	74.9
51	79.5	78	81.1	73.6	72.4	74.7
50	79.4	77.8	81	73.4	72.2	74.5
49	79.2	77.7	80.9	73.2	71.9	74.4
48	79.1	77.6	80.8	73.1	71.7	74.2
47	79	77.4	80.7	72.9	71.5	74.1
46	78.9	77.3	80.6	72.7	71.3	73.9
45	78.8	77.3	80.5	72.5	71.1	73.8
44	78.8	77.2	80.5	72.3	70.9	73.6
43	78.7	77.1	80.4	72.2	70.7	73.5
42	78.6	77	80.3	72	70.5	73.3
41	78.5	77	80.2	71.8	70.3	73.2
40	78.5	76.9	80.2	71.7	70.2	73.1
39	78.4	76.8	80.1	71.5	70	72.9
38	78.4	76.8	80.1	71.4	69.8	72.8
37	78.3	76.7	80	71.2	69.7	72.6
36	78.3	76.7	80	71.1	69.5	72.5
35	78.2	76.6	79.9	70.9	69.3	72.4
34	78.2	76.6	79.9	70.8	69.2	72.2
33	78.1	76.5	79.8	70.6	69	72.1
32	78.1	76.5	79.8	70.5	68.8	72
31	78	76.4	79.8	70.3	68.7	71.8
30	78	76.4	79.7	70.2	68.5	71.7
29	77.9	76.3	79.7	70	68.4	71.5
28	77.9	76.3	79.6	69.9	68.2	71.4
27	77.8	76.2	79.6	69.7	68.1	71.3
26	77.8	76.2	79.6	69.6	67.9	71.1
25	77.8	76.1	79.5	69.4	67.7	71
24	77.7	76.1	79.5	69.3	67.6	70.8
23	77.7	76	79.4	69.1	67.4	70.7
22	77.6	76	79.4	68.9	67.2	70.6
21	77.6	75.9	79.3	68.8	67	70.4
20	77.5	75.9	79.3	68.6	66.9	70.3
19	77.5	75.8	79.2	68.5	66.7	70.2
18	77.4	75.8	79.2	68.4	66.6	70.1
17	77.4	75.7	79.1	68.2	66.5	69.9
16	77.3	75.7	79.1	68.1	66.3	69.8
15	77.3	75.6	79	68	66.2	69.7
14	77.2	75.6	79	68	66.2	69.7
13	77.2	75.6	78.9	67.9	66.1	69.6
12	77.2	75.5	78.9	67.8	66	69.5
11	77.1	75.5	78.9	67.7	65.9	69.4
10	77.1	75.5	78.9	67.6	65.8	69.3
9	77.1	75.5	78.8	67.5	65.7	69.2
8	77.1	75.4	78.8	67.4	65.6	69.1
7	77	75.4	78.8	67.3	65.4	69
6	77	75.3	78.7	67.1	65.3	68.8
5	76.9	75.3	78.6	66.9	65	68.6
4	76.9	75.2	78.6	66.6	64.7	68.3
3	76.8	75.2	78.5	66.2	64.4	68
2	76.8	75.2	78.5	65.7	63.8	67.5
1	76.6	75	78.3	65.1	63.2	66.9
0	75.5	73.8	77.2	61.6	59.4	63.8

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 70.2 in Burkina Faso, rising to 82.4 and 77.4 at 65, and to 88.1 and 84.8 at 80 — higher than the 75.5 and 61.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Burkina Faso

Male

Female

1x

Age	Survival probability
	Bangladesh			Burkina Faso
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.009%	0.003%	0.01%
99	1.37%	0.63%	2.15%	0.02%	0.007%	0.03%
98	2.06%	1.05%	3.16%	0.03%	0.02%	0.05%
97	2.99%	1.63%	4.44%	0.06%	0.03%	0.09%
96	4.16%	2.43%	6.03%	0.11%	0.06%	0.16%
95	5.6%	3.46%	7.92%	0.2%	0.11%	0.28%
94	7.32%	4.75%	10.1%	0.35%	0.2%	0.48%
93	9.32%	6.3%	12.6%	0.57%	0.34%	0.77%
92	11.6%	8.13%	15.3%	0.91%	0.57%	1.21%
91	14.1%	10.2%	18.3%	1.39%	0.9%	1.83%
90	16.8%	12.6%	21.4%	2.05%	1.38%	2.66%
89	19.8%	15.2%	24.7%	2.92%	2.03%	3.73%
88	22.9%	18%	28.1%	4.02%	2.87%	5.06%
87	26.1%	21%	31.6%	5.36%	3.93%	6.66%
86	29.4%	24.1%	35%	6.97%	5.22%	8.56%
85	32.7%	27.4%	38.5%	8.84%	6.74%	10.8%
84	36.1%	30.7%	41.9%	11%	8.52%	13.3%
83	39.4%	34%	45.2%	13.4%	10.5%	16%
82	42.7%	37.3%	48.5%	16.1%	12.8%	19%
81	45.9%	40.5%	51.7%	18.9%	15.2%	22.3%
80	49%	43.7%	54.7%	21.9%	17.8%	25.6%
79	52%	46.8%	57.6%	25%	20.6%	29%
78	54.9%	49.9%	60.3%	28.1%	23.4%	32.3%
77	57.7%	52.9%	62.9%	31.2%	26.3%	35.7%
76	60.4%	55.7%	65.3%	34.3%	29.2%	39%
75	62.9%	58.5%	67.6%	37.3%	32.1%	42.2%
74	65.2%	61.1%	69.8%	40.3%	35%	45.3%
73	67.5%	63.5%	71.8%	43.2%	37.8%	48.3%
72	69.6%	65.8%	73.6%	45.9%	40.5%	51.1%
71	71.5%	68%	75.4%	48.5%	43%	53.7%
70	73.4%	69.9%	77%	50.9%	45.5%	56.1%
69	75.1%	71.8%	78.6%	53.2%	47.8%	58.4%
68	76.6%	73.4%	80%	55.4%	50.1%	60.5%
67	78.1%	75%	81.4%	57.4%	52.2%	62.5%
66	79.5%	76.4%	82.6%	59.3%	54.2%	64.3%
65	80.7%	77.8%	83.8%	61.1%	56.1%	65.9%
64	81.9%	79.2%	84.8%	62.8%	58%	67.5%
63	83.1%	80.5%	85.8%	64.4%	59.7%	69%
62	84.2%	81.8%	86.6%	65.8%	61.3%	70.3%
61	85.2%	83%	87.4%	67.2%	62.9%	71.5%
60	86.2%	84.2%	88.1%	68.5%	64.3%	72.6%
59	87.1%	85.4%	88.8%	69.6%	65.7%	73.6%
58	87.9%	86.4%	89.4%	70.7%	67%	74.5%
57	88.7%	87.4%	90%	71.8%	68.2%	75.4%
56	89.4%	88.3%	90.5%	72.7%	69.3%	76.2%
55	90.1%	89.1%	91%	73.6%	70.3%	76.9%
54	90.7%	89.8%	91.5%	74.5%	71.4%	77.6%
53	91.3%	90.5%	92%	75.3%	72.3%	78.3%
52	91.8%	91.1%	92.4%	76%	73.2%	78.9%
51	92.3%	91.7%	92.8%	76.8%	74.1%	79.5%
50	92.7%	92.2%	93.2%	77.4%	74.9%	80.1%
49	93.1%	92.6%	93.5%	78.1%	75.6%	80.6%
48	93.4%	93%	93.8%	78.7%	76.3%	81.1%
47	93.8%	93.4%	94.1%	79.2%	77%	81.5%
46	94%	93.7%	94.3%	79.7%	77.6%	82%
45	94.3%	94%	94.5%	80.3%	78.2%	82.4%
44	94.5%	94.2%	94.7%	80.8%	78.8%	82.8%
43	94.7%	94.4%	94.9%	81.2%	79.4%	83.2%
42	94.9%	94.6%	95.1%	81.7%	79.9%	83.6%
41	95.1%	94.8%	95.3%	82.1%	80.4%	84%
40	95.2%	95%	95.5%	82.6%	80.9%	84.3%
39	95.4%	95.1%	95.6%	83%	81.3%	84.7%
38	95.5%	95.3%	95.7%	83.4%	81.8%	85%
37	95.6%	95.4%	95.8%	83.7%	82.2%	85.4%
36	95.7%	95.5%	95.9%	84.1%	82.6%	85.7%
35	95.9%	95.6%	96%	84.5%	83%	86%
34	96%	95.8%	96.1%	84.8%	83.4%	86.3%
33	96.1%	95.9%	96.2%	85.2%	83.8%	86.6%
32	96.2%	96%	96.3%	85.5%	84.1%	86.9%
31	96.3%	96.1%	96.4%	85.8%	84.5%	87.2%
30	96.3%	96.2%	96.5%	86.1%	84.8%	87.5%
29	96.4%	96.3%	96.5%	86.5%	85.2%	87.8%
28	96.5%	96.4%	96.6%	86.8%	85.5%	88.1%
27	96.6%	96.5%	96.7%	87.1%	85.8%	88.4%
26	96.7%	96.6%	96.8%	87.4%	86.2%	88.7%
25	96.7%	96.7%	96.8%	87.7%	86.5%	88.9%
24	96.8%	96.7%	96.9%	88%	86.9%	89.2%
23	96.9%	96.8%	97%	88.3%	87.2%	89.4%
22	97%	96.9%	97%	88.6%	87.6%	89.7%
21	97%	97%	97.1%	88.9%	87.9%	89.9%
20	97.1%	97.1%	97.2%	89.2%	88.2%	90.2%
19	97.2%	97.2%	97.3%	89.4%	88.5%	90.4%
18	97.3%	97.3%	97.4%	89.7%	88.7%	90.6%
17	97.4%	97.4%	97.5%	89.9%	89%	90.8%
16	97.5%	97.4%	97.6%	90.1%	89.2%	91%
15	97.6%	97.5%	97.6%	90.2%	89.3%	91.2%
14	97.6%	97.6%	97.7%	90.4%	89.5%	91.3%
13	97.7%	97.6%	97.8%	90.5%	89.6%	91.4%
12	97.7%	97.7%	97.8%	90.7%	89.8%	91.6%
11	97.8%	97.7%	97.8%	90.8%	89.9%	91.7%
10	97.8%	97.8%	97.9%	90.9%	90.1%	91.8%
9	97.9%	97.8%	97.9%	91.1%	90.3%	91.9%
8	97.9%	97.8%	98%	91.3%	90.4%	92.1%
7	98%	97.9%	98%	91.5%	90.7%	92.3%
6	98%	97.9%	98.1%	91.7%	90.9%	92.6%
5	98.1%	98%	98.2%	92.1%	91.3%	92.9%
4	98.2%	98.1%	98.3%	92.5%	91.7%	93.3%
3	98.2%	98.1%	98.3%	93.1%	92.3%	93.8%
2	98.3%	98.2%	98.4%	93.8%	93.1%	94.5%
1	98.5%	98.4%	98.6%	94.7%	94.1%	95.4%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 68.5% in Burkina Faso are expected to live past 60, 73.4% and 50.9% past 70, 49% and 21.9% past 80, and only 16.8% and 2.05% 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

Burkina Faso

Male

Female

1x

Age	Probability of dying
	Bangladesh			Burkina Faso
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	51.8%	55.2%	51.8%
99	36.9%	43.4%	35%	50.1%	53.3%	49.9%
98	33.8%	39.5%	31.9%	48.4%	51.7%	48.1%
97	30.9%	36%	29%	46.6%	49.9%	46.2%
96	28.2%	32.7%	26.3%	45%	48.1%	44.4%
95	25.7%	29.8%	23.8%	43.3%	46.2%	42.5%
94	23.5%	27.1%	21.6%	41.4%	44.2%	40.5%
93	21.4%	24.7%	19.6%	39.4%	42.1%	38.4%
92	19.5%	22.5%	17.9%	37.2%	39.7%	36.2%
91	17.8%	20.5%	16.2%	34.8%	37.2%	33.8%
90	16.3%	18.7%	14.7%	32.3%	34.6%	31.2%
89	14.8%	17.1%	13.3%	29.7%	31.9%	28.7%
88	13.5%	15.6%	12.1%	27.3%	29.3%	26.3%
87	12.3%	14.3%	10.9%	25%	26.9%	24.1%
86	11.2%	13%	9.89%	23%	24.6%	22.2%
85	10.2%	11.9%	8.97%	21.2%	22.6%	20.4%
84	9.3%	10.8%	8.14%	19.6%	20.8%	18.8%
83	8.45%	9.74%	7.4%	18%	19.2%	17.3%
82	7.68%	8.82%	6.72%	16.5%	17.6%	15.9%
81	6.98%	8.01%	6.1%	15.1%	16.1%	14.4%
80	6.36%	7.29%	5.53%	13.7%	14.7%	13%
79	5.8%	6.68%	5.02%	12.3%	13.4%	11.7%
78	5.29%	6.12%	4.54%	11.1%	12.1%	10.5%
77	4.82%	5.61%	4.11%	9.99%	11%	9.38%
76	4.39%	5.14%	3.73%	9.01%	9.95%	8.43%
75	3.99%	4.69%	3.37%	8.14%	9.01%	7.59%
74	3.64%	4.27%	3.06%	7.35%	8.15%	6.84%
73	3.32%	3.87%	2.78%	6.63%	7.36%	6.14%
72	3.02%	3.49%	2.54%	5.96%	6.65%	5.5%
71	2.74%	3.15%	2.32%	5.35%	5.99%	4.9%
70	2.49%	2.82%	2.13%	4.8%	5.41%	4.36%
69	2.26%	2.53%	1.96%	4.31%	4.89%	3.88%
68	2.05%	2.28%	1.81%	3.88%	4.44%	3.47%
67	1.87%	2.07%	1.66%	3.52%	4.05%	3.11%
66	1.72%	1.9%	1.52%	3.21%	3.72%	2.81%
65	1.58%	1.78%	1.38%	2.93%	3.42%	2.55%
64	1.47%	1.69%	1.24%	2.69%	3.16%	2.32%
63	1.38%	1.63%	1.11%	2.46%	2.91%	2.1%
62	1.29%	1.57%	0.99%	2.24%	2.68%	1.89%
61	1.21%	1.51%	0.89%	2.04%	2.46%	1.7%
60	1.12%	1.43%	0.81%	1.85%	2.25%	1.52%
59	1.04%	1.33%	0.74%	1.68%	2.07%	1.37%
58	0.96%	1.23%	0.69%	1.54%	1.9%	1.24%
57	0.88%	1.12%	0.64%	1.42%	1.75%	1.13%
56	0.8%	1.01%	0.6%	1.32%	1.63%	1.04%
55	0.74%	0.91%	0.57%	1.23%	1.52%	0.97%
54	0.68%	0.83%	0.54%	1.15%	1.42%	0.91%
53	0.62%	0.75%	0.5%	1.08%	1.32%	0.85%
52	0.57%	0.68%	0.47%	1%	1.23%	0.8%
51	0.52%	0.61%	0.44%	0.93%	1.14%	0.74%
50	0.47%	0.55%	0.4%	0.87%	1.06%	0.69%
49	0.42%	0.48%	0.36%	0.81%	0.98%	0.64%
48	0.37%	0.43%	0.32%	0.75%	0.92%	0.59%
47	0.33%	0.37%	0.28%	0.71%	0.86%	0.56%
46	0.29%	0.33%	0.25%	0.67%	0.82%	0.53%
45	0.26%	0.29%	0.23%	0.64%	0.78%	0.51%
44	0.23%	0.26%	0.21%	0.62%	0.74%	0.49%
43	0.22%	0.23%	0.2%	0.59%	0.7%	0.48%
42	0.2%	0.21%	0.19%	0.57%	0.67%	0.47%
41	0.19%	0.19%	0.18%	0.54%	0.63%	0.45%
40	0.17%	0.18%	0.17%	0.51%	0.59%	0.44%
39	0.16%	0.16%	0.15%	0.49%	0.56%	0.43%
38	0.14%	0.15%	0.14%	0.47%	0.53%	0.41%
37	0.13%	0.14%	0.12%	0.45%	0.51%	0.39%
36	0.12%	0.13%	0.11%	0.43%	0.49%	0.38%
35	0.11%	0.13%	0.1%	0.42%	0.48%	0.37%
34	0.11%	0.12%	0.09%	0.41%	0.47%	0.36%
33	0.1%	0.12%	0.09%	0.4%	0.46%	0.35%
32	0.1%	0.12%	0.09%	0.39%	0.44%	0.34%
31	0.1%	0.12%	0.09%	0.38%	0.43%	0.34%
30	0.1%	0.11%	0.09%	0.37%	0.41%	0.34%
29	0.09%	0.11%	0.08%	0.36%	0.4%	0.33%
28	0.09%	0.1%	0.08%	0.36%	0.39%	0.33%
27	0.08%	0.09%	0.07%	0.35%	0.38%	0.32%
26	0.08%	0.08%	0.07%	0.35%	0.39%	0.31%
25	0.07%	0.08%	0.07%	0.35%	0.39%	0.31%
24	0.07%	0.08%	0.07%	0.35%	0.4%	0.3%
23	0.08%	0.08%	0.07%	0.35%	0.4%	0.29%
22	0.08%	0.08%	0.07%	0.34%	0.4%	0.28%
21	0.08%	0.09%	0.08%	0.33%	0.38%	0.27%
20	0.09%	0.09%	0.09%	0.31%	0.35%	0.27%
19	0.09%	0.1%	0.09%	0.29%	0.32%	0.25%
18	0.1%	0.1%	0.09%	0.26%	0.28%	0.24%
17	0.09%	0.09%	0.09%	0.23%	0.25%	0.22%
16	0.09%	0.09%	0.09%	0.21%	0.22%	0.19%
15	0.08%	0.08%	0.08%	0.18%	0.2%	0.17%
14	0.07%	0.07%	0.07%	0.17%	0.18%	0.15%
13	0.06%	0.05%	0.06%	0.15%	0.17%	0.14%
12	0.05%	0.04%	0.05%	0.15%	0.16%	0.13%
11	0.04%	0.04%	0.04%	0.15%	0.16%	0.13%
10	0.04%	0.03%	0.04%	0.16%	0.17%	0.14%
9	0.04%	0.04%	0.04%	0.17%	0.18%	0.16%
8	0.05%	0.04%	0.05%	0.2%	0.21%	0.19%
7	0.06%	0.05%	0.06%	0.24%	0.25%	0.22%
6	0.07%	0.07%	0.07%	0.29%	0.3%	0.28%
5	0.08%	0.07%	0.08%	0.36%	0.38%	0.35%
4	0.07%	0.07%	0.08%	0.46%	0.48%	0.44%
3	0.06%	0.06%	0.07%	0.59%	0.63%	0.56%
2	0.07%	0.07%	0.07%	0.77%	0.83%	0.71%
1	0.18%	0.18%	0.17%	1%	1.09%	0.91%
0	1.53%	1.61%	1.44%	5.27%	5.9%	4.62%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 5.27% in Burkina Faso, 0.1% vs 0.37% at age 30, 1.12% vs 1.85% at 60, and 6.36% vs 13.7% at 80.

Death rate by age in Bangladesh vs Burkina Faso

Chart Table

Bangladesh

Male

Female

Burkina Faso

Male

Female

1x

Age	Death rate
	Bangladesh			Burkina Faso
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	0
99	504	274.2	753	8.73	3.99	12.6
98	698	414	1,006	16.3	7.99	23.4
97	924	588	1,288	29.5	15.4	41.9
96	1,175	796	1,587	51.6	28.6	72.2
95	1,440	1,030	1,887	87.6	51.2	120.2
94	1,718	1,287	2,186	143.1	87.7	192.8
93	1,995	1,557	2,471	224.5	144	297
92	2,264	1,828	2,735	337	225.7	438
91	2,514	2,095	2,969	484	337	617
90	2,738	2,353	3,155	663	478	830
89	2,932	2,596	3,297	869	648	1,070
88	3,093	2,815	3,394	1,097	842	1,330
87	3,217	3,003	3,447	1,343	1,056	1,606
86	3,301	3,148	3,465	1,604	1,285	1,896
85	3,347	3,247	3,451	1,875	1,527	2,196
84	3,355	3,299	3,412	2,149	1,773	2,495
83	3,331	3,310	3,348	2,413	2,017	2,776
82	3,279	3,289	3,261	2,649	2,247	3,020
81	3,205	3,246	3,153	2,844	2,451	3,207
80	3,114	3,189	3,027	2,988	2,621	3,327
79	3,015	3,128	2,889	3,079	2,751	3,383
78	2,903	3,054	2,742	3,117	2,841	3,385
77	2,781	2,966	2,589	3,117	2,893	3,350
76	2,649	2,862	2,434	3,091	2,910	3,288
75	2,510	2,740	2,281	3,039	2,896	3,204
74	2,374	2,605	2,137	2,963	2,852	3,096
73	2,238	2,458	1,998	2,862	2,782	2,964
72	2,099	2,301	1,868	2,737	2,689	2,808
71	1,961	2,138	1,748	2,595	2,580	2,633
70	1,826	1,974	1,638	2,444	2,461	2,450
69	1,697	1,817	1,540	2,293	2,340	2,269
68	1,574	1,674	1,445	2,150	2,224	2,099
67	1,463	1,551	1,351	2,019	2,115	1,945
66	1,364	1,452	1,255	1,901	2,015	1,809
65	1,278	1,382	1,154	1,792	1,921	1,684
64	1,206	1,339	1,052	1,687	1,830	1,565
63	1,143	1,310	953	1,583	1,738	1,448
62	1,085	1,285	861	1,477	1,643	1,330
61	1,028	1,253	781	1,371	1,546	1,215
60	968	1,203	714	1,268	1,449	1,105
59	906	1,138	659	1,173	1,356	1,005
58	841	1,059	615	1,089	1,272	921
57	778	975	577	1,017	1,196	851
56	718	892	545	956	1,129	795
55	664	814	516	904	1,069	748
54	615	743	490	857	1,012	708
53	570	679	464	811	957	669
52	526	618	437	764	902	630
51	482	560	406	717	847	590
50	437	503	371	671	794	550
49	391	448	334	628	745	512
48	347	396	296.7	591	701	480
47	307	349	263.5	560	665	454
46	272.6	308	235.8	535	634	434
45	244	272.8	214.7	514	608	419
44	221.8	243.8	200.3	497	584	408
43	204.5	219.6	190.2	480	559	399
42	190.1	199.2	181.9	462	533	391
41	177.1	181.7	173	444	505	382
40	164	166.5	161.7	425	478	371
39	149.7	153.1	146.8	407	452	360
38	135.6	141.5	130.4	390	432	349
37	123.1	132.1	115.1	377	416	337
36	112.9	124.8	102.4	366	405	326
35	105.6	119.7	93.2	357	397	316
34	101.3	116.7	87.9	350	391	308
33	99.2	115.2	85.6	343	384	302
32	98.3	114.1	85	336	374	297.6
31	97.4	112.5	84.9	329	362	295.2
30	95.3	109.1	84	322	349	293.7
29	90.9	103.1	81.1	316	338	292.3
28	85.2	95.6	76.8	311	331	289.7
27	79.3	88.1	72.3	308	330	285.3
26	74.5	81.9	68.5	307	334	279.1
25	71.7	78	66.4	307	341	271.6
24	71	76.7	66.2	308	349	264.1
23	73	78.2	68.4	306	353	257.4
22	76.9	81.7	72.4	301	349	251.6
21	81.9	86.3	77.8	291.5	335	246.4
20	87.2	90.9	83.5	276.4	311	239.9
19	91.1	93.9	88.3	256.8	282	230.4
18	92.8	94.5	91	234.1	251	216.2
17	91.4	92	90.8	210	221.7	197.6
16	86.6	86.2	87	186.6	196.2	176.6
15	78	77	79	166	175.5	156
14	66.5	65.4	67.8	149.7	160	138.8
13	54.3	53.3	55.5	138.7	149.9	126.9
12	44.1	43.2	45.1	133.4	145.1	121.1
11	37.7	36.8	38.7	134.3	146	122
10	34.4	33.5	35.3	141.7	152.9	130
9	36.2	35	37.5	156.6	166.7	146
8	44.9	42.8	47	180.5	189.3	171.2
7	56.8	53.6	60.1	215.6	223.3	207.4
6	67.8	63.8	72.1	265	272.6	257.1
5	74.1	69.7	78.7	333	343	323
4	71.7	67.9	75.7	427	442	411
3	61.4	58.9	63.9	553	580	525
2	70.1	68.9	71.4	723	770	673
1	172.9	175.4	170.2	950	1,030	867
0	1,530	1,613	1,443	5,267	5,896	4,616

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 Burkina Faso. The median age of death is 79.7 in Bangladesh and 70.4 in Burkina Faso, 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 Burkina Faso more than their death rates.

Life expectancy in other countries

+ -

1x