Life Expectancy in Bangladesh vs Burundi (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Burundi

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Burundi
	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	100.9	100.7	100.9
98	100.3	99.9	100.4	99.9	99.8	100
97	99.4	99.1	99.6	99	98.8	99.1
96	98.6	98.2	98.8	98.1	97.9	98.2
95	97.8	97.4	98	97.3	97	97.3
94	97	96.6	97.2	96.4	96.2	96.5
93	96.3	95.9	96.5	95.6	95.3	95.7
92	95.5	95.1	95.8	94.7	94.4	94.9
91	94.8	94.4	95.1	93.9	93.6	94.1
90	94.1	93.6	94.4	93.1	92.8	93.3
89	93.4	92.9	93.8	92.3	92	92.5
88	92.8	92.2	93.1	91.5	91.2	91.7
87	92.1	91.6	92.5	90.8	90.4	91
86	91.5	90.9	91.9	90	89.7	90.2
85	90.9	90.3	91.3	89.3	89	89.5
84	90.3	89.6	90.8	88.6	88.3	88.8
83	89.7	89	90.2	87.9	87.6	88.1
82	89.2	88.5	89.7	87.2	86.9	87.4
81	88.6	87.9	89.2	86.6	86.2	86.8
80	88.1	87.4	88.7	85.9	85.6	86.2
79	87.6	86.8	88.3	85.3	84.9	85.6
78	87.1	86.3	87.8	84.7	84.3	85
77	86.7	85.8	87.4	84.1	83.7	84.4
76	86.2	85.4	87	83.6	83.2	83.9
75	85.8	84.9	86.6	83.1	82.6	83.4
74	85.4	84.5	86.2	82.5	82.1	82.9
73	85	84	85.9	82	81.6	82.4
72	84.6	83.6	85.5	81.6	81.1	81.9
71	84.2	83.2	85.2	81.1	80.6	81.5
70	83.9	82.9	84.9	80.7	80.1	81.1
69	83.6	82.5	84.6	80.2	79.7	80.7
68	83.3	82.2	84.3	79.8	79.2	80.3
67	83	81.9	84	79.4	78.8	79.9
66	82.7	81.6	83.8	79.1	78.4	79.6
65	82.4	81.3	83.5	78.7	78	79.3
64	82.2	81.1	83.3	78.3	77.6	78.9
63	81.9	80.8	83.1	78	77.3	78.6
62	81.6	80.5	82.9	77.7	76.9	78.3
61	81.4	80.2	82.7	77.4	76.6	78.1
60	81.2	79.9	82.5	77.1	76.3	77.8
59	80.9	79.6	82.3	76.8	76	77.6
58	80.7	79.4	82.2	76.6	75.7	77.3
57	80.5	79.1	82	76.3	75.4	77.1
56	80.3	78.9	81.8	76.1	75.1	76.9
55	80.1	78.7	81.7	75.8	74.9	76.7
54	80	78.5	81.5	75.6	74.6	76.5
53	79.8	78.3	81.4	75.3	74.3	76.2
52	79.7	78.1	81.3	75.1	74.1	76
51	79.5	78	81.1	74.9	73.8	75.8
50	79.4	77.8	81	74.7	73.6	75.7
49	79.2	77.7	80.9	74.5	73.3	75.5
48	79.1	77.6	80.8	74.3	73.1	75.3
47	79	77.4	80.7	74.1	72.9	75.1
46	78.9	77.3	80.6	73.9	72.7	75
45	78.8	77.3	80.5	73.7	72.5	74.8
44	78.8	77.2	80.5	73.5	72.3	74.6
43	78.7	77.1	80.4	73.3	72.1	74.5
42	78.6	77	80.3	73.1	71.9	74.3
41	78.5	77	80.2	72.9	71.7	74.1
40	78.5	76.9	80.2	72.8	71.5	74
39	78.4	76.8	80.1	72.6	71.3	73.8
38	78.4	76.8	80.1	72.4	71.1	73.6
37	78.3	76.7	80	72.2	70.9	73.5
36	78.3	76.7	80	72.1	70.7	73.3
35	78.2	76.6	79.9	71.9	70.6	73.2
34	78.2	76.6	79.9	71.7	70.4	73
33	78.1	76.5	79.8	71.6	70.2	72.9
32	78.1	76.5	79.8	71.4	70	72.8
31	78	76.4	79.8	71.2	69.8	72.6
30	78	76.4	79.7	71.1	69.6	72.5
29	77.9	76.3	79.7	70.9	69.4	72.3
28	77.9	76.3	79.6	70.7	69.3	72.2
27	77.8	76.2	79.6	70.6	69.1	72
26	77.8	76.2	79.6	70.4	68.9	71.9
25	77.8	76.1	79.5	70.2	68.7	71.7
24	77.7	76.1	79.5	70.1	68.5	71.6
23	77.7	76	79.4	69.9	68.3	71.5
22	77.6	76	79.4	69.7	68.1	71.3
21	77.6	75.9	79.3	69.6	67.9	71.2
20	77.5	75.9	79.3	69.4	67.7	71.1
19	77.5	75.8	79.2	69.2	67.5	71
18	77.4	75.8	79.2	69.1	67.3	70.8
17	77.4	75.7	79.1	69	67.2	70.7
16	77.3	75.7	79.1	68.8	67	70.6
15	77.3	75.6	79	68.7	66.9	70.5
14	77.2	75.6	79	68.6	66.8	70.4
13	77.2	75.6	78.9	68.5	66.7	70.3
12	77.2	75.5	78.9	68.4	66.6	70.2
11	77.1	75.5	78.9	68.3	66.5	70.1
10	77.1	75.5	78.9	68.2	66.3	70
9	77.1	75.5	78.8	68.1	66.2	69.9
8	77.1	75.4	78.8	67.9	66	69.7
7	77	75.4	78.8	67.7	65.8	69.5
6	77	75.3	78.7	67.5	65.6	69.3
5	76.9	75.3	78.6	67.2	65.3	69.1
4	76.9	75.2	78.6	67	65.1	68.9
3	76.8	75.2	78.5	66.8	64.9	68.7
2	76.8	75.2	78.5	66.6	64.7	68.5
1	76.6	75	78.3	66.4	64.4	68.3
0	75.5	73.8	77.2	64.1	62	66.2

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 Burundi, rising to 82.4 and 78.7 at 65, and to 88.1 and 85.9 at 80 — higher than the 75.5 and 64.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Burundi

Male

Female

1x

Age	Survival probability
	Bangladesh			Burundi
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.1%	0.04%	0.15%
99	1.37%	0.63%	2.15%	0.16%	0.08%	0.24%
98	2.06%	1.05%	3.16%	0.27%	0.13%	0.39%
97	2.99%	1.63%	4.44%	0.43%	0.22%	0.61%
96	4.16%	2.43%	6.03%	0.66%	0.36%	0.93%
95	5.6%	3.46%	7.92%	0.98%	0.56%	1.36%
94	7.32%	4.75%	10.1%	1.43%	0.86%	1.94%
93	9.32%	6.3%	12.6%	2.01%	1.29%	2.68%
92	11.6%	8.13%	15.3%	2.77%	1.86%	3.6%
91	14.1%	10.2%	18.3%	3.71%	2.6%	4.72%
90	16.8%	12.6%	21.4%	4.85%	3.54%	6.07%
89	19.8%	15.2%	24.7%	6.21%	4.68%	7.64%
88	22.9%	18%	28.1%	7.8%	6.02%	9.46%
87	26.1%	21%	31.6%	9.61%	7.57%	11.5%
86	29.4%	24.1%	35%	11.6%	9.33%	13.8%
85	32.7%	27.4%	38.5%	13.9%	11.3%	16.3%
84	36.1%	30.7%	41.9%	16.3%	13.4%	19%
83	39.4%	34%	45.2%	18.9%	15.7%	21.9%
82	42.7%	37.3%	48.5%	21.6%	18.1%	24.9%
81	45.9%	40.5%	51.7%	24.4%	20.7%	27.9%
80	49%	43.7%	54.7%	27.2%	23.4%	31%
79	52%	46.8%	57.6%	30.1%	26.1%	34.1%
78	54.9%	49.9%	60.3%	33%	28.8%	37.1%
77	57.7%	52.9%	62.9%	35.8%	31.5%	40.1%
76	60.4%	55.7%	65.3%	38.6%	34.2%	43%
75	62.9%	58.5%	67.6%	41.3%	36.9%	45.8%
74	65.2%	61.1%	69.8%	44%	39.5%	48.5%
73	67.5%	63.5%	71.8%	46.6%	42.1%	51.1%
72	69.6%	65.8%	73.6%	49.1%	44.5%	53.6%
71	71.5%	68%	75.4%	51.4%	46.9%	56%
70	73.4%	69.9%	77%	53.7%	49.1%	58.2%
69	75.1%	71.8%	78.6%	55.8%	51.3%	60.3%
68	76.6%	73.4%	80%	57.8%	53.4%	62.2%
67	78.1%	75%	81.4%	59.7%	55.3%	64%
66	79.5%	76.4%	82.6%	61.4%	57.2%	65.7%
65	80.7%	77.8%	83.8%	63.1%	59%	67.3%
64	81.9%	79.2%	84.8%	64.7%	60.7%	68.8%
63	83.1%	80.5%	85.8%	66.2%	62.3%	70.2%
62	84.2%	81.8%	86.6%	67.6%	63.8%	71.5%
61	85.2%	83%	87.4%	68.9%	65.1%	72.6%
60	86.2%	84.2%	88.1%	70.1%	66.5%	73.7%
59	87.1%	85.4%	88.8%	71.2%	67.7%	74.7%
58	87.9%	86.4%	89.4%	72.2%	68.8%	75.7%
57	88.7%	87.4%	90%	73.2%	69.9%	76.5%
56	89.4%	88.3%	90.5%	74.1%	70.9%	77.4%
55	90.1%	89.1%	91%	75%	71.9%	78.2%
54	90.7%	89.8%	91.5%	75.9%	72.9%	78.9%
53	91.3%	90.5%	92%	76.7%	73.9%	79.7%
52	91.8%	91.1%	92.4%	77.5%	74.7%	80.4%
51	92.3%	91.7%	92.8%	78.3%	75.6%	81%
50	92.7%	92.2%	93.2%	79%	76.4%	81.6%
49	93.1%	92.6%	93.5%	79.6%	77.1%	82.2%
48	93.4%	93%	93.8%	80.2%	77.8%	82.7%
47	93.8%	93.4%	94.1%	80.8%	78.5%	83.2%
46	94%	93.7%	94.3%	81.4%	79.1%	83.7%
45	94.3%	94%	94.5%	81.9%	79.7%	84.2%
44	94.5%	94.2%	94.7%	82.5%	80.3%	84.7%
43	94.7%	94.4%	94.9%	83%	80.9%	85.1%
42	94.9%	94.6%	95.1%	83.5%	81.4%	85.6%
41	95.1%	94.8%	95.3%	84%	81.9%	86%
40	95.2%	95%	95.5%	84.4%	82.5%	86.4%
39	95.4%	95.1%	95.6%	84.9%	82.9%	86.8%
38	95.5%	95.3%	95.7%	85.3%	83.4%	87.2%
37	95.6%	95.4%	95.8%	85.7%	83.9%	87.6%
36	95.7%	95.5%	95.9%	86.1%	84.3%	87.9%
35	95.9%	95.6%	96%	86.5%	84.8%	88.3%
34	96%	95.8%	96.1%	86.9%	85.2%	88.6%
33	96.1%	95.9%	96.2%	87.3%	85.6%	88.9%
32	96.2%	96%	96.3%	87.6%	86.1%	89.3%
31	96.3%	96.1%	96.4%	88%	86.5%	89.6%
30	96.3%	96.2%	96.5%	88.4%	86.9%	89.9%
29	96.4%	96.3%	96.5%	88.7%	87.3%	90.2%
28	96.5%	96.4%	96.6%	89.1%	87.7%	90.5%
27	96.6%	96.5%	96.7%	89.4%	88.1%	90.8%
26	96.7%	96.6%	96.8%	89.8%	88.5%	91.1%
25	96.7%	96.7%	96.8%	90.1%	88.9%	91.4%
24	96.8%	96.7%	96.9%	90.5%	89.3%	91.6%
23	96.9%	96.8%	97%	90.8%	89.7%	91.9%
22	97%	96.9%	97%	91.1%	90.1%	92.1%
21	97%	97%	97.1%	91.4%	90.5%	92.4%
20	97.1%	97.1%	97.2%	91.7%	90.9%	92.6%
19	97.2%	97.2%	97.3%	92%	91.2%	92.8%
18	97.3%	97.3%	97.4%	92.3%	91.5%	93.1%
17	97.4%	97.4%	97.5%	92.5%	91.8%	93.3%
16	97.5%	97.4%	97.6%	92.7%	92.1%	93.4%
15	97.6%	97.5%	97.6%	92.9%	92.3%	93.6%
14	97.6%	97.6%	97.7%	93.1%	92.5%	93.8%
13	97.7%	97.6%	97.8%	93.3%	92.7%	93.9%
12	97.7%	97.7%	97.8%	93.4%	92.8%	94.1%
11	97.8%	97.7%	97.8%	93.6%	93%	94.2%
10	97.8%	97.8%	97.9%	93.8%	93.3%	94.4%
9	97.9%	97.8%	97.9%	94.1%	93.5%	94.6%
8	97.9%	97.8%	98%	94.3%	93.8%	94.9%
7	98%	97.9%	98%	94.6%	94.1%	95.1%
6	98%	97.9%	98.1%	95%	94.5%	95.4%
5	98.1%	98%	98.2%	95.3%	94.9%	95.8%
4	98.2%	98.1%	98.3%	95.7%	95.2%	96.1%
3	98.2%	98.1%	98.3%	96%	95.6%	96.4%
2	98.3%	98.2%	98.4%	96.3%	95.9%	96.7%
1	98.5%	98.4%	98.6%	96.6%	96.3%	97%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 70.1% in Burundi are expected to live past 60, 73.4% and 53.7% past 70, 49% and 27.2% past 80, and only 16.8% and 4.85% 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

Burundi

Male

Female

1x

Age	Probability of dying
	Bangladesh			Burundi
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	42.6%	46.3%	42%
99	36.9%	43.4%	35%	40.6%	44.4%	39.9%
98	33.8%	39.5%	31.9%	38.9%	42.4%	38%
97	30.9%	36%	29%	37%	40.5%	36.1%
96	28.2%	32.7%	26.3%	35.1%	38.5%	34%
95	25.7%	29.8%	23.8%	33.1%	36.6%	31.9%
94	23.5%	27.1%	21.6%	31.1%	34.7%	29.7%
93	21.4%	24.7%	19.6%	29.1%	32.8%	27.6%
92	19.5%	22.5%	17.9%	27.2%	30.7%	25.6%
91	17.8%	20.5%	16.2%	25.3%	28.6%	23.8%
90	16.3%	18.7%	14.7%	23.6%	26.5%	22.1%
89	14.8%	17.1%	13.3%	21.9%	24.4%	20.6%
88	13.5%	15.6%	12.1%	20.3%	22.3%	19.2%
87	12.3%	14.3%	10.9%	18.8%	20.5%	17.9%
86	11.2%	13%	9.89%	17.4%	18.8%	16.6%
85	10.2%	11.9%	8.97%	16.1%	17.3%	15.4%
84	9.3%	10.8%	8.14%	14.9%	15.9%	14.2%
83	8.45%	9.74%	7.4%	13.7%	14.6%	13.1%
82	7.68%	8.82%	6.72%	12.5%	13.5%	11.9%
81	6.98%	8.01%	6.1%	11.5%	12.4%	10.9%
80	6.36%	7.29%	5.53%	10.5%	11.3%	9.9%
79	5.8%	6.68%	5.02%	9.54%	10.4%	8.99%
78	5.29%	6.12%	4.54%	8.7%	9.47%	8.16%
77	4.82%	5.61%	4.11%	7.93%	8.65%	7.42%
76	4.39%	5.14%	3.73%	7.25%	7.91%	6.76%
75	3.99%	4.69%	3.37%	6.63%	7.24%	6.16%
74	3.64%	4.27%	3.06%	6.06%	6.63%	5.62%
73	3.32%	3.87%	2.78%	5.53%	6.06%	5.12%
72	3.02%	3.49%	2.54%	5.04%	5.53%	4.65%
71	2.74%	3.15%	2.32%	4.59%	5.05%	4.22%
70	2.49%	2.82%	2.13%	4.18%	4.61%	3.82%
69	2.26%	2.53%	1.96%	3.8%	4.21%	3.46%
68	2.05%	2.28%	1.81%	3.46%	3.85%	3.13%
67	1.87%	2.07%	1.66%	3.17%	3.54%	2.85%
66	1.72%	1.9%	1.52%	2.9%	3.27%	2.59%
65	1.58%	1.78%	1.38%	2.67%	3.02%	2.36%
64	1.47%	1.69%	1.24%	2.45%	2.78%	2.15%
63	1.38%	1.63%	1.11%	2.24%	2.56%	1.96%
62	1.29%	1.57%	0.99%	2.05%	2.35%	1.78%
61	1.21%	1.51%	0.89%	1.87%	2.15%	1.61%
60	1.12%	1.43%	0.81%	1.7%	1.96%	1.47%
59	1.04%	1.33%	0.74%	1.56%	1.8%	1.34%
58	0.96%	1.23%	0.69%	1.44%	1.66%	1.23%
57	0.88%	1.12%	0.64%	1.34%	1.55%	1.15%
56	0.8%	1.01%	0.6%	1.27%	1.47%	1.08%
55	0.74%	0.91%	0.57%	1.2%	1.4%	1.02%
54	0.68%	0.83%	0.54%	1.14%	1.33%	0.97%
53	0.62%	0.75%	0.5%	1.09%	1.26%	0.92%
52	0.57%	0.68%	0.47%	1.02%	1.19%	0.86%
51	0.52%	0.61%	0.44%	0.95%	1.11%	0.8%
50	0.47%	0.55%	0.4%	0.88%	1.03%	0.74%
49	0.42%	0.48%	0.36%	0.82%	0.96%	0.69%
48	0.37%	0.43%	0.32%	0.76%	0.89%	0.65%
47	0.33%	0.37%	0.28%	0.72%	0.84%	0.61%
46	0.29%	0.33%	0.25%	0.69%	0.79%	0.59%
45	0.26%	0.29%	0.23%	0.66%	0.76%	0.57%
44	0.23%	0.26%	0.21%	0.64%	0.73%	0.56%
43	0.22%	0.23%	0.2%	0.62%	0.71%	0.55%
42	0.2%	0.21%	0.19%	0.6%	0.68%	0.53%
41	0.19%	0.19%	0.18%	0.58%	0.65%	0.51%
40	0.17%	0.18%	0.17%	0.55%	0.62%	0.49%
39	0.16%	0.16%	0.15%	0.53%	0.6%	0.46%
38	0.14%	0.15%	0.14%	0.5%	0.57%	0.44%
37	0.13%	0.14%	0.12%	0.48%	0.55%	0.42%
36	0.12%	0.13%	0.11%	0.47%	0.53%	0.4%
35	0.11%	0.13%	0.1%	0.45%	0.52%	0.39%
34	0.11%	0.12%	0.09%	0.44%	0.51%	0.38%
33	0.1%	0.12%	0.09%	0.43%	0.5%	0.37%
32	0.1%	0.12%	0.09%	0.43%	0.49%	0.36%
31	0.1%	0.12%	0.09%	0.42%	0.48%	0.36%
30	0.1%	0.11%	0.09%	0.41%	0.47%	0.35%
29	0.09%	0.11%	0.08%	0.4%	0.47%	0.34%
28	0.09%	0.1%	0.08%	0.4%	0.46%	0.33%
27	0.08%	0.09%	0.07%	0.39%	0.46%	0.32%
26	0.08%	0.08%	0.07%	0.38%	0.45%	0.31%
25	0.07%	0.08%	0.07%	0.37%	0.45%	0.3%
24	0.07%	0.08%	0.07%	0.37%	0.45%	0.29%
23	0.08%	0.08%	0.07%	0.36%	0.45%	0.28%
22	0.08%	0.08%	0.07%	0.36%	0.44%	0.27%
21	0.08%	0.09%	0.08%	0.35%	0.43%	0.27%
20	0.09%	0.09%	0.09%	0.33%	0.41%	0.26%
19	0.09%	0.1%	0.09%	0.31%	0.38%	0.25%
18	0.1%	0.1%	0.09%	0.29%	0.34%	0.24%
17	0.09%	0.09%	0.09%	0.26%	0.3%	0.22%
16	0.09%	0.09%	0.09%	0.23%	0.26%	0.2%
15	0.08%	0.08%	0.08%	0.21%	0.23%	0.18%
14	0.07%	0.07%	0.07%	0.19%	0.21%	0.16%
13	0.06%	0.05%	0.06%	0.18%	0.2%	0.15%
12	0.05%	0.04%	0.05%	0.18%	0.2%	0.16%
11	0.04%	0.04%	0.04%	0.19%	0.21%	0.17%
10	0.04%	0.03%	0.04%	0.21%	0.24%	0.19%
9	0.04%	0.04%	0.04%	0.25%	0.27%	0.22%
8	0.05%	0.04%	0.05%	0.29%	0.31%	0.26%
7	0.06%	0.05%	0.06%	0.33%	0.35%	0.3%
6	0.07%	0.07%	0.07%	0.35%	0.38%	0.33%
5	0.08%	0.07%	0.08%	0.37%	0.39%	0.34%
4	0.07%	0.07%	0.08%	0.36%	0.39%	0.33%
3	0.06%	0.06%	0.07%	0.35%	0.37%	0.32%
2	0.07%	0.07%	0.07%	0.33%	0.35%	0.3%
1	0.18%	0.18%	0.17%	0.31%	0.33%	0.28%
0	1.53%	1.61%	1.44%	3.39%	3.74%	3.04%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 3.39% in Burundi, 0.1% vs 0.41% at age 30, 1.12% vs 1.7% at 60, and 6.36% vs 10.5% at 80.

Death rate by age in Bangladesh vs Burundi

Chart Table

Bangladesh

Male

Female

Burundi

Male

Female

1x

Age	Death rate
	Bangladesh			Burundi
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	0
99	504	274.2	753	66.9	33.4	96.7
98	698	414	1,006	104.8	55.5	148.9
97	924	588	1,288	158.5	88.9	221.1
96	1,175	796	1,587	231.2	137.8	316
95	1,440	1,030	1,887	326	206.7	434
94	1,718	1,287	2,186	444	300	576
93	1,995	1,557	2,471	586	422	739
92	2,264	1,828	2,735	752	571	922
91	2,514	2,095	2,969	939	745	1,124
90	2,738	2,353	3,155	1,144	937	1,343
89	2,932	2,596	3,297	1,362	1,139	1,576
88	3,093	2,815	3,394	1,585	1,345	1,818
87	3,217	3,003	3,447	1,809	1,550	2,062
86	3,301	3,148	3,465	2,028	1,752	2,299
85	3,347	3,247	3,451	2,234	1,947	2,517
84	3,355	3,299	3,412	2,420	2,131	2,708
83	3,331	3,310	3,348	2,579	2,300	2,861
82	3,279	3,289	3,261	2,706	2,445	2,973
81	3,205	3,246	3,153	2,796	2,561	3,041
80	3,114	3,189	3,027	2,850	2,646	3,069
79	3,015	3,128	2,889	2,871	2,699	3,061
78	2,903	3,054	2,742	2,866	2,725	3,027
77	2,781	2,966	2,589	2,839	2,727	2,972
76	2,649	2,862	2,434	2,798	2,708	2,903
75	2,510	2,740	2,281	2,741	2,672	2,820
74	2,374	2,605	2,137	2,666	2,618	2,724
73	2,238	2,458	1,998	2,577	2,548	2,615
72	2,099	2,301	1,868	2,474	2,464	2,493
71	1,961	2,138	1,748	2,360	2,368	2,360
70	1,826	1,974	1,638	2,240	2,265	2,222
69	1,697	1,817	1,540	2,118	2,159	2,084
68	1,574	1,674	1,445	2,001	2,057	1,950
67	1,463	1,551	1,351	1,889	1,960	1,823
66	1,364	1,452	1,255	1,784	1,868	1,704
65	1,278	1,382	1,154	1,683	1,778	1,592
64	1,206	1,339	1,052	1,584	1,688	1,483
63	1,143	1,310	953	1,484	1,594	1,377
62	1,085	1,285	861	1,384	1,496	1,273
61	1,028	1,253	781	1,285	1,398	1,173
60	968	1,203	714	1,193	1,303	1,081
59	906	1,138	659	1,109	1,217	1,000
58	841	1,059	615	1,039	1,145	932
57	778	975	577	982	1,087	877
56	718	892	545	938	1,041	834
55	664	814	516	902	1,005	798
54	615	743	490	868	971	764
53	570	679	464	833	934	729
52	526	618	437	792	891	691
51	482	560	406	746	842	649
50	437	503	371	699	789	607
49	391	448	334	653	738	567
48	347	396	296.7	614	693	534
47	307	349	263.5	583	655	509
46	272.6	308	235.8	560	627	492
45	244	272.8	214.7	543	605	481
44	221.8	243.8	200.3	531	588	473
43	204.5	219.6	190.2	519	571	465
42	190.1	199.2	181.9	504	554	454
41	177.1	181.7	173	487	535	439
40	164	166.5	161.7	468	515	421
39	149.7	153.1	146.8	448	494	401
38	135.6	141.5	130.4	429	476	382
37	123.1	132.1	115.1	413	461	365
36	112.9	124.8	102.4	401	449	351
35	105.6	119.7	93.2	391	441	341
34	101.3	116.7	87.9	384	435	333
33	99.2	115.2	85.6	379	430	328
32	98.3	114.1	85	374	424	323
31	97.4	112.5	84.9	369	419	319
30	95.3	109.1	84	364	412	314
29	90.9	103.1	81.1	358	407	308
28	85.2	95.6	76.8	352	403	301
27	79.3	88.1	72.3	347	401	291.3
26	74.5	81.9	68.5	342	401	281
25	71.7	78	66.4	337	403	270.7
24	71	76.7	66.2	334	404	261.6
23	73	78.2	68.4	330	404	254.6
22	76.9	81.7	72.4	325	399	249.5
21	81.9	86.3	77.8	318	388	245.7
20	87.2	90.9	83.5	306	370	241.1
19	91.1	93.9	88.3	289	344	233.5
18	92.8	94.5	91	266.8	312	221.1
17	91.4	92	90.8	240.6	276.9	203.7
16	86.6	86.2	87	214.2	243.8	184
15	78	77	79	190.8	215.8	165.3
14	66.5	65.4	67.8	173.8	195.9	151.3
13	54.3	53.3	55.5	165.5	186.1	144.5
12	44.1	43.2	45.1	166.8	186.9	146.2
11	37.7	36.8	38.7	178.8	199.3	157.8
10	34.4	33.5	35.3	201.4	222.8	179.6
9	36.2	35	37.5	233.9	256.1	211.1
8	44.9	42.8	47	272.2	295.1	248.8
7	56.8	53.6	60.1	309	332	285
6	67.8	63.8	72.1	336	359	312
5	74.1	69.7	78.7	348	371	324
4	71.7	67.9	75.7	345	369	321
3	61.4	58.9	63.9	332	356	308
2	70.1	68.9	71.4	314	339	289.4
1	172.9	175.4	170.2	295.9	320	270.9
0	1,530	1,613	1,443	3,394	3,742	3,039

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 Burundi. The median age of death is 79.7 in Bangladesh and 71.6 in Burundi, 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 Burundi more than their death rates.

Life expectancy in other countries

+ -

1x