Life Expectancy in Bangladesh vs Denmark (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Denmark

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Denmark
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.1	101.8	102.2
99	101.2	100.9	101.3	101.2	100.9	101.3
98	100.3	99.9	100.4	100.4	100.1	100.5
97	99.4	99.1	99.6	99.6	99.2	99.7
96	98.6	98.2	98.8	98.8	98.4	98.9
95	97.8	97.4	98	98	97.6	98.1
94	97	96.6	97.2	97.2	96.8	97.4
93	96.3	95.9	96.5	96.5	96	96.7
92	95.5	95.1	95.8	95.8	95.3	96
91	94.8	94.4	95.1	95.1	94.6	95.4
90	94.1	93.6	94.4	94.4	93.9	94.7
89	93.4	92.9	93.8	93.8	93.2	94.2
88	92.8	92.2	93.1	93.2	92.6	93.6
87	92.1	91.6	92.5	92.6	92	93.1
86	91.5	90.9	91.9	92.1	91.4	92.5
85	90.9	90.3	91.3	91.6	90.9	92.1
84	90.3	89.6	90.8	91.1	90.3	91.6
83	89.7	89	90.2	90.6	89.8	91.2
82	89.2	88.5	89.7	90.2	89.4	90.8
81	88.6	87.9	89.2	89.7	88.9	90.4
80	88.1	87.4	88.7	89.4	88.5	90
79	87.6	86.8	88.3	89	88.1	89.7
78	87.1	86.3	87.8	88.7	87.7	89.4
77	86.7	85.8	87.4	88.3	87.4	89.1
76	86.2	85.4	87	88	87.1	88.8
75	85.8	84.9	86.6	87.7	86.7	88.6
74	85.4	84.5	86.2	87.4	86.4	88.3
73	85	84	85.9	87.2	86.1	88.1
72	84.6	83.6	85.5	86.9	85.8	87.9
71	84.2	83.2	85.2	86.7	85.6	87.7
70	83.9	82.9	84.9	86.4	85.3	87.5
69	83.6	82.5	84.6	86.2	85	87.3
68	83.3	82.2	84.3	86	84.8	87.1
67	83	81.9	84	85.8	84.5	87
66	82.7	81.6	83.8	85.6	84.3	86.8
65	82.4	81.3	83.5	85.4	84.1	86.6
64	82.2	81.1	83.3	85.2	83.9	86.5
63	81.9	80.8	83.1	85	83.7	86.3
62	81.6	80.5	82.9	84.8	83.5	86.2
61	81.4	80.2	82.7	84.7	83.3	86
60	81.2	79.9	82.5	84.5	83.1	85.9
59	80.9	79.6	82.3	84.4	82.9	85.8
58	80.7	79.4	82.2	84.3	82.8	85.7
57	80.5	79.1	82	84.1	82.6	85.6
56	80.3	78.9	81.8	84	82.5	85.5
55	80.1	78.7	81.7	83.9	82.4	85.4
54	80	78.5	81.5	83.8	82.3	85.3
53	79.8	78.3	81.4	83.7	82.2	85.3
52	79.7	78.1	81.3	83.6	82.1	85.2
51	79.5	78	81.1	83.6	82	85.1
50	79.4	77.8	81	83.5	81.9	85.1
49	79.2	77.7	80.9	83.4	81.8	85
48	79.1	77.6	80.8	83.4	81.8	85
47	79	77.4	80.7	83.3	81.7	84.9
46	78.9	77.3	80.6	83.3	81.6	84.9
45	78.8	77.3	80.5	83.2	81.6	84.9
44	78.8	77.2	80.5	83.2	81.5	84.8
43	78.7	77.1	80.4	83.2	81.5	84.8
42	78.6	77	80.3	83.1	81.5	84.8
41	78.5	77	80.2	83.1	81.4	84.8
40	78.5	76.9	80.2	83.1	81.4	84.7
39	78.4	76.8	80.1	83	81.4	84.7
38	78.4	76.8	80.1	83	81.3	84.7
37	78.3	76.7	80	83	81.3	84.7
36	78.3	76.7	80	83	81.3	84.7
35	78.2	76.6	79.9	83	81.2	84.6
34	78.2	76.6	79.9	82.9	81.2	84.6
33	78.1	76.5	79.8	82.9	81.2	84.6
32	78.1	76.5	79.8	82.9	81.2	84.6
31	78	76.4	79.8	82.9	81.2	84.6
30	78	76.4	79.7	82.9	81.1	84.6
29	77.9	76.3	79.7	82.8	81.1	84.6
28	77.9	76.3	79.6	82.8	81.1	84.6
27	77.8	76.2	79.6	82.8	81.1	84.5
26	77.8	76.2	79.6	82.8	81.1	84.5
25	77.8	76.1	79.5	82.8	81	84.5
24	77.7	76.1	79.5	82.8	81	84.5
23	77.7	76	79.4	82.8	81	84.5
22	77.6	76	79.4	82.7	81	84.5
21	77.6	75.9	79.3	82.7	81	84.5
20	77.5	75.9	79.3	82.7	80.9	84.5
19	77.5	75.8	79.2	82.7	80.9	84.5
18	77.4	75.8	79.2	82.7	80.9	84.5
17	77.4	75.7	79.1	82.7	80.9	84.5
16	77.3	75.7	79.1	82.7	80.9	84.5
15	77.3	75.6	79	82.7	80.9	84.5
14	77.2	75.6	79	82.7	80.9	84.5
13	77.2	75.6	78.9	82.7	80.9	84.5
12	77.2	75.5	78.9	82.7	80.9	84.4
11	77.1	75.5	78.9	82.7	80.9	84.4
10	77.1	75.5	78.9	82.7	80.9	84.4
9	77.1	75.5	78.8	82.7	80.9	84.4
8	77.1	75.4	78.8	82.7	80.9	84.4
7	77	75.4	78.8	82.7	80.9	84.4
6	77	75.3	78.7	82.7	80.9	84.4
5	76.9	75.3	78.6	82.6	80.9	84.4
4	76.9	75.2	78.6	82.6	80.8	84.4
3	76.8	75.2	78.5	82.6	80.8	84.4
2	76.8	75.2	78.5	82.6	80.8	84.4
1	76.6	75	78.3	82.6	80.8	84.4
0	75.5	73.8	77.2	82.4	80.6	84.2

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 82.9 in Denmark, rising to 82.4 and 85.4 at 65, and to 88.1 and 89.4 at 80 — higher than the 75.5 and 82.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Denmark

Male

Female

1x

Age	Survival probability
	Bangladesh			Denmark
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	2.06%	0.96%	3.02%
99	1.37%	0.63%	2.15%	3.07%	1.54%	4.43%
98	2.06%	1.05%	3.16%	4.43%	2.39%	6.26%
97	2.99%	1.63%	4.44%	6.18%	3.55%	8.57%
96	4.16%	2.43%	6.03%	8.36%	5.1%	11.4%
95	5.6%	3.46%	7.92%	11%	7.08%	14.6%
94	7.32%	4.75%	10.1%	14%	9.51%	18.3%
93	9.32%	6.3%	12.6%	17.5%	12.4%	22.4%
92	11.6%	8.13%	15.3%	21.3%	15.7%	26.7%
91	14.1%	10.2%	18.3%	25.3%	19.4%	31.2%
90	16.8%	12.6%	21.4%	29.6%	23.3%	35.7%
89	19.8%	15.2%	24.7%	33.9%	27.4%	40.3%
88	22.9%	18%	28.1%	38.2%	31.7%	44.7%
87	26.1%	21%	31.6%	42.5%	36%	49.1%
86	29.4%	24.1%	35%	46.7%	40.2%	53.2%
85	32.7%	27.4%	38.5%	50.7%	44.3%	57.2%
84	36.1%	30.7%	41.9%	54.5%	48.2%	60.8%
83	39.4%	34%	45.2%	58.1%	52%	64.3%
82	42.7%	37.3%	48.5%	61.5%	55.6%	67.4%
81	45.9%	40.5%	51.7%	64.6%	58.9%	70.3%
80	49%	43.7%	54.7%	67.4%	62%	72.9%
79	52%	46.8%	57.6%	70%	64.8%	75.2%
78	54.9%	49.9%	60.3%	72.3%	67.4%	77.3%
77	57.7%	52.9%	62.9%	74.5%	69.8%	79.2%
76	60.4%	55.7%	65.3%	76.5%	72.1%	81%
75	62.9%	58.5%	67.6%	78.3%	74.2%	82.5%
74	65.2%	61.1%	69.8%	80%	76.1%	84%
73	67.5%	63.5%	71.8%	81.6%	77.9%	85.3%
72	69.6%	65.8%	73.6%	83%	79.6%	86.5%
71	71.5%	68%	75.4%	84.4%	81.1%	87.6%
70	73.4%	69.9%	77%	85.6%	82.6%	88.6%
69	75.1%	71.8%	78.6%	86.7%	84%	89.6%
68	76.6%	73.4%	80%	87.8%	85.3%	90.4%
67	78.1%	75%	81.4%	88.8%	86.5%	91.3%
66	79.5%	76.4%	82.6%	89.8%	87.6%	92%
65	80.7%	77.8%	83.8%	90.7%	88.7%	92.7%
64	81.9%	79.2%	84.8%	91.5%	89.7%	93.4%
63	83.1%	80.5%	85.8%	92.3%	90.6%	94%
62	84.2%	81.8%	86.6%	93%	91.5%	94.6%
61	85.2%	83%	87.4%	93.7%	92.2%	95.1%
60	86.2%	84.2%	88.1%	94.3%	93%	95.6%
59	87.1%	85.4%	88.8%	94.8%	93.6%	96%
58	87.9%	86.4%	89.4%	95.3%	94.2%	96.4%
57	88.7%	87.4%	90%	95.7%	94.8%	96.7%
56	89.4%	88.3%	90.5%	96.1%	95.2%	97%
55	90.1%	89.1%	91%	96.5%	95.7%	97.3%
54	90.7%	89.8%	91.5%	96.8%	96%	97.6%
53	91.3%	90.5%	92%	97.1%	96.4%	97.8%
52	91.8%	91.1%	92.4%	97.3%	96.7%	98%
51	92.3%	91.7%	92.8%	97.6%	97%	98.2%
50	92.7%	92.2%	93.2%	97.8%	97.2%	98.3%
49	93.1%	92.6%	93.5%	97.9%	97.4%	98.5%
48	93.4%	93%	93.8%	98.1%	97.6%	98.6%
47	93.8%	93.4%	94.1%	98.2%	97.8%	98.7%
46	94%	93.7%	94.3%	98.4%	98%	98.8%
45	94.3%	94%	94.5%	98.5%	98.1%	98.9%
44	94.5%	94.2%	94.7%	98.6%	98.2%	98.9%
43	94.7%	94.4%	94.9%	98.7%	98.3%	99%
42	94.9%	94.6%	95.1%	98.7%	98.4%	99.1%
41	95.1%	94.8%	95.3%	98.8%	98.5%	99.1%
40	95.2%	95%	95.5%	98.9%	98.6%	99.2%
39	95.4%	95.1%	95.6%	98.9%	98.7%	99.2%
38	95.5%	95.3%	95.7%	99%	98.8%	99.3%
37	95.6%	95.4%	95.8%	99.1%	98.8%	99.3%
36	95.7%	95.5%	95.9%	99.1%	98.9%	99.3%
35	95.9%	95.6%	96%	99.1%	98.9%	99.4%
34	96%	95.8%	96.1%	99.2%	99%	99.4%
33	96.1%	95.9%	96.2%	99.2%	99%	99.4%
32	96.2%	96%	96.3%	99.3%	99.1%	99.4%
31	96.3%	96.1%	96.4%	99.3%	99.1%	99.5%
30	96.3%	96.2%	96.5%	99.3%	99.2%	99.5%
29	96.4%	96.3%	96.5%	99.4%	99.2%	99.5%
28	96.5%	96.4%	96.6%	99.4%	99.2%	99.5%
27	96.6%	96.5%	96.7%	99.4%	99.3%	99.5%
26	96.7%	96.6%	96.8%	99.4%	99.3%	99.6%
25	96.7%	96.7%	96.8%	99.5%	99.4%	99.6%
24	96.8%	96.7%	96.9%	99.5%	99.4%	99.6%
23	96.9%	96.8%	97%	99.5%	99.4%	99.6%
22	97%	96.9%	97%	99.5%	99.5%	99.6%
21	97%	97%	97.1%	99.6%	99.5%	99.6%
20	97.1%	97.1%	97.2%	99.6%	99.5%	99.6%
19	97.2%	97.2%	97.3%	99.6%	99.5%	99.6%
18	97.3%	97.3%	97.4%	99.6%	99.6%	99.7%
17	97.4%	97.4%	97.5%	99.6%	99.6%	99.7%
16	97.5%	97.4%	97.6%	99.6%	99.6%	99.7%
15	97.6%	97.5%	97.6%	99.6%	99.6%	99.7%
14	97.6%	97.6%	97.7%	99.6%	99.6%	99.7%
13	97.7%	97.6%	97.8%	99.7%	99.6%	99.7%
12	97.7%	97.7%	97.8%	99.7%	99.6%	99.7%
11	97.8%	97.7%	97.8%	99.7%	99.6%	99.7%
10	97.8%	97.8%	97.9%	99.7%	99.6%	99.7%
9	97.9%	97.8%	97.9%	99.7%	99.6%	99.7%
8	97.9%	97.8%	98%	99.7%	99.6%	99.7%
7	98%	97.9%	98%	99.7%	99.6%	99.7%
6	98%	97.9%	98.1%	99.7%	99.6%	99.7%
5	98.1%	98%	98.2%	99.7%	99.6%	99.7%
4	98.2%	98.1%	98.3%	99.7%	99.7%	99.7%
3	98.2%	98.1%	98.3%	99.7%	99.7%	99.7%
2	98.3%	98.2%	98.4%	99.7%	99.7%	99.7%
1	98.5%	98.4%	98.6%	99.7%	99.7%	99.8%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 94.3% in Denmark are expected to live past 60, 73.4% and 85.6% past 70, 49% and 67.4% past 80, and only 16.8% and 29.6% 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

Denmark

Male

Female

1x

Age	Probability of dying
	Bangladesh			Denmark
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	35.2%	40.3%	34%
99	36.9%	43.4%	35%	33%	37.8%	31.7%
98	33.8%	39.5%	31.9%	30.6%	35.3%	29.3%
97	30.9%	36%	29%	28.3%	32.8%	26.9%
96	28.2%	32.7%	26.3%	26.1%	30.4%	24.6%
95	25.7%	29.8%	23.8%	23.9%	27.9%	22.3%
94	23.5%	27.1%	21.6%	21.8%	25.6%	20.2%
93	21.4%	24.7%	19.6%	19.8%	23.3%	18.1%
92	19.5%	22.5%	17.9%	17.8%	21%	16.1%
91	17.8%	20.5%	16.2%	16%	18.9%	14.4%
90	16.3%	18.7%	14.7%	14.3%	16.9%	12.8%
89	14.8%	17.1%	13.3%	12.7%	15.1%	11.3%
88	13.5%	15.6%	12.1%	11.4%	13.4%	9.99%
87	12.3%	14.3%	10.9%	10.1%	11.9%	8.83%
86	11.2%	13%	9.89%	8.92%	10.5%	7.79%
85	10.2%	11.9%	8.97%	7.91%	9.28%	6.88%
84	9.3%	10.8%	8.14%	7%	8.2%	6.06%
83	8.45%	9.74%	7.4%	6.18%	7.25%	5.33%
82	7.68%	8.82%	6.72%	5.44%	6.4%	4.67%
81	6.98%	8.01%	6.1%	4.79%	5.65%	4.08%
80	6.36%	7.29%	5.53%	4.21%	4.96%	3.55%
79	5.8%	6.68%	5.02%	3.69%	4.37%	3.1%
78	5.29%	6.12%	4.54%	3.26%	3.87%	2.73%
77	4.82%	5.61%	4.11%	2.89%	3.45%	2.41%
76	4.39%	5.14%	3.73%	2.6%	3.11%	2.14%
75	3.99%	4.69%	3.37%	2.35%	2.82%	1.92%
74	3.64%	4.27%	3.06%	2.12%	2.56%	1.73%
73	3.32%	3.87%	2.78%	1.92%	2.32%	1.55%
72	3.02%	3.49%	2.54%	1.74%	2.11%	1.4%
71	2.74%	3.15%	2.32%	1.58%	1.92%	1.26%
70	2.49%	2.82%	2.13%	1.44%	1.76%	1.14%
69	2.26%	2.53%	1.96%	1.33%	1.63%	1.04%
68	2.05%	2.28%	1.81%	1.23%	1.51%	0.96%
67	1.87%	2.07%	1.66%	1.14%	1.4%	0.9%
66	1.72%	1.9%	1.52%	1.06%	1.3%	0.83%
65	1.58%	1.78%	1.38%	0.98%	1.2%	0.77%
64	1.47%	1.69%	1.24%	0.91%	1.11%	0.71%
63	1.38%	1.63%	1.11%	0.84%	1.02%	0.65%
62	1.29%	1.57%	0.99%	0.77%	0.94%	0.6%
61	1.21%	1.51%	0.89%	0.7%	0.86%	0.54%
60	1.12%	1.43%	0.81%	0.63%	0.78%	0.49%
59	1.04%	1.33%	0.74%	0.57%	0.7%	0.44%
58	0.96%	1.23%	0.69%	0.51%	0.63%	0.39%
57	0.88%	1.12%	0.64%	0.46%	0.57%	0.35%
56	0.8%	1.01%	0.6%	0.41%	0.51%	0.32%
55	0.74%	0.91%	0.57%	0.37%	0.44%	0.29%
54	0.68%	0.83%	0.54%	0.33%	0.39%	0.26%
53	0.62%	0.75%	0.5%	0.29%	0.35%	0.23%
52	0.57%	0.68%	0.47%	0.26%	0.31%	0.21%
51	0.52%	0.61%	0.44%	0.23%	0.28%	0.18%
50	0.47%	0.55%	0.4%	0.21%	0.26%	0.16%
49	0.42%	0.48%	0.36%	0.19%	0.23%	0.14%
48	0.37%	0.43%	0.32%	0.17%	0.21%	0.12%
47	0.33%	0.37%	0.28%	0.15%	0.18%	0.11%
46	0.29%	0.33%	0.25%	0.13%	0.16%	0.1%
45	0.26%	0.29%	0.23%	0.11%	0.14%	0.08%
44	0.23%	0.26%	0.21%	0.1%	0.12%	0.08%
43	0.22%	0.23%	0.2%	0.09%	0.11%	0.07%
42	0.2%	0.21%	0.19%	0.08%	0.1%	0.06%
41	0.19%	0.19%	0.18%	0.07%	0.09%	0.06%
40	0.17%	0.18%	0.17%	0.07%	0.08%	0.05%
39	0.16%	0.16%	0.15%	0.06%	0.08%	0.05%
38	0.14%	0.15%	0.14%	0.06%	0.07%	0.04%
37	0.13%	0.14%	0.12%	0.05%	0.06%	0.04%
36	0.12%	0.13%	0.11%	0.05%	0.06%	0.03%
35	0.11%	0.13%	0.1%	0.04%	0.06%	0.03%
34	0.11%	0.12%	0.09%	0.04%	0.05%	0.03%
33	0.1%	0.12%	0.09%	0.04%	0.05%	0.03%
32	0.1%	0.12%	0.09%	0.04%	0.05%	0.02%
31	0.1%	0.12%	0.09%	0.03%	0.04%	0.02%
30	0.1%	0.11%	0.09%	0.03%	0.04%	0.02%
29	0.09%	0.11%	0.08%	0.03%	0.04%	0.02%
28	0.09%	0.1%	0.08%	0.03%	0.04%	0.02%
27	0.08%	0.09%	0.07%	0.03%	0.04%	0.02%
26	0.08%	0.08%	0.07%	0.03%	0.04%	0.01%
25	0.07%	0.08%	0.07%	0.02%	0.04%	0.01%
24	0.07%	0.08%	0.07%	0.02%	0.03%	0.01%
23	0.08%	0.08%	0.07%	0.02%	0.03%	0.01%
22	0.08%	0.08%	0.07%	0.02%	0.03%	0.01%
21	0.08%	0.09%	0.08%	0.02%	0.03%	0.01%
20	0.09%	0.09%	0.09%	0.02%	0.03%	0.01%
19	0.09%	0.1%	0.09%	0.02%	0.03%	0.01%
18	0.1%	0.1%	0.09%	0.02%	0.02%	0.01%
17	0.09%	0.09%	0.09%	0.01%	0.02%	0.01%
16	0.09%	0.09%	0.09%	0.01%	0.01%	0.008%
15	0.08%	0.08%	0.08%	0.008%	0.009%	0.007%
14	0.07%	0.07%	0.07%	0.006%	0.007%	0.005%
13	0.06%	0.05%	0.06%	0.005%	0.005%	0.004%
12	0.05%	0.04%	0.05%	0.004%	0.005%	0.003%
11	0.04%	0.04%	0.04%	0.004%	0.005%	0.003%
10	0.04%	0.03%	0.04%	0.004%	0.004%	0.003%
9	0.04%	0.04%	0.04%	0.004%	0.004%	0.003%
8	0.05%	0.04%	0.05%	0.004%	0.004%	0.004%
7	0.06%	0.05%	0.06%	0.004%	0.004%	0.004%
6	0.07%	0.07%	0.07%	0.004%	0.004%	0.004%
5	0.08%	0.07%	0.08%	0.004%	0.004%	0.004%
4	0.07%	0.07%	0.08%	0.004%	0.005%	0.004%
3	0.06%	0.06%	0.07%	0.006%	0.007%	0.005%
2	0.07%	0.07%	0.07%	0.01%	0.01%	0.01%
1	0.18%	0.18%	0.17%	0.03%	0.03%	0.03%
0	1.53%	1.61%	1.44%	0.27%	0.29%	0.24%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.27% in Denmark, 0.1% vs 0.03% at age 30, 1.12% vs 0.63% at 60, and 6.36% vs 4.21% at 80.

Death rate by age in Bangladesh vs Denmark

Chart Table

Bangladesh

Male

Female

Denmark

Male

Female

1x

Age	Death rate
	Bangladesh			Denmark
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	570	176.1	916
99	504	274.2	753	1,013	583	1,405
98	698	414	1,006	1,356	843	1,834
97	924	588	1,288	1,750	1,167	2,304
96	1,175	796	1,587	2,179	1,549	2,792
95	1,440	1,030	1,887	2,626	1,977	3,268
94	1,718	1,287	2,186	3,062	2,434	3,698
93	1,995	1,557	2,471	3,458	2,888	4,051
92	2,264	1,828	2,735	3,788	3,300	4,309
91	2,514	2,095	2,969	4,056	3,663	4,484
90	2,738	2,353	3,155	4,233	3,943	4,558
89	2,932	2,596	3,297	4,320	4,134	4,544
88	3,093	2,815	3,394	4,344	4,252	4,472
87	3,217	3,003	3,447	4,291	4,276	4,334
86	3,301	3,148	3,465	4,166	4,213	4,144
85	3,347	3,247	3,451	4,010	4,108	3,932
84	3,355	3,299	3,412	3,817	3,957	3,690
83	3,331	3,310	3,348	3,591	3,771	3,426
82	3,279	3,289	3,261	3,345	3,556	3,148
81	3,205	3,246	3,153	3,096	3,326	2,867
80	3,114	3,189	3,027	2,834	3,075	2,587
79	3,015	3,128	2,889	2,582	2,829	2,332
78	2,903	3,054	2,742	2,360	2,610	2,110
77	2,781	2,966	2,589	2,156	2,409	1,907
76	2,649	2,862	2,434	1,985	2,242	1,734
75	2,510	2,740	2,281	1,838	2,094	1,584
74	2,374	2,605	2,137	1,700	1,949	1,449
73	2,238	2,458	1,998	1,565	1,806	1,324
72	2,099	2,301	1,868	1,442	1,676	1,209
71	1,961	2,138	1,748	1,331	1,558	1,103
70	1,826	1,974	1,638	1,235	1,457	1,010
69	1,697	1,817	1,540	1,154	1,372	935
68	1,574	1,674	1,445	1,082	1,289	872
67	1,463	1,551	1,351	1,016	1,211	819
66	1,364	1,452	1,255	953	1,135	768
65	1,278	1,382	1,154	891	1,063	716
64	1,206	1,339	1,052	831	995	664
63	1,143	1,310	953	772	926	614
62	1,085	1,285	861	714	858	566
61	1,028	1,253	781	655	790	517
60	968	1,203	714	597	723	468
59	906	1,138	659	543	660	422
58	841	1,059	615	490	598	380
57	778	975	577	442	538	342
56	718	892	545	396	481	310
55	664	814	516	353	425	280.4
54	615	743	490	316	377	254
53	570	679	464	280.9	335	227
52	526	618	437	251.8	302	201.4
51	482	560	406	226.2	274.8	177.8
50	437	503	371	203.6	250.1	157
49	391	448	334	182.7	226.5	138.5
48	347	396	296.7	162.5	203	121.7
47	307	349	263.5	144.1	180.7	107.1
46	272.6	308	235.8	126.7	158.9	94.2
45	244	272.8	214.7	111.1	138.9	83.3
44	221.8	243.8	200.3	98.4	121.8	74.6
43	204.5	219.6	190.2	87.8	107.8	67.2
42	190.1	199.2	181.9	79.2	97.2	60.6
41	177.1	181.7	173	72.7	89.2	55.6
40	164	166.5	161.7	66.5	81.4	51.1
39	149.7	153.1	146.8	60.9	74.2	47
38	135.6	141.5	130.4	55.9	68.3	42.9
37	123.1	132.1	115.1	51.6	64	38.6
36	112.9	124.8	102.4	47.9	60.7	34.6
35	105.6	119.7	93.2	44.2	57.1	30.8
34	101.3	116.7	87.9	41	53.6	27.8
33	99.2	115.2	85.6	37.8	49.6	25.4
32	98.3	114.1	85	35.2	46.3	23.5
31	97.4	112.5	84.9	33	43.7	21.9
30	95.3	109.1	84	31.4	41.9	20.4
29	90.9	103.1	81.1	29.6	39.9	18.8
28	85.2	95.6	76.8	28.3	38.6	17.5
27	79.3	88.1	72.3	26.9	37.3	16.2
26	74.5	81.9	68.5	26	36.7	14.9
25	71.7	78	66.4	24.8	35.6	13.7
24	71	76.7	66.2	23.8	34.3	12.9
23	73	78.2	68.4	23.1	33.3	12.6
22	76.9	81.7	72.4	22.4	31.9	12.5
21	81.9	86.3	77.8	21.8	30.7	12.6
20	87.2	90.9	83.5	20.8	28.7	12.5
19	91.1	93.9	88.3	18.5	25	11.6
18	92.8	94.5	91	15.8	20.8	10.5
17	91.4	92	90.8	13.2	16.7	9.49
16	86.6	86.2	87	10.3	12.4	8.1
15	78	77	79	8.08	9.28	6.84
14	66.5	65.4	67.8	6.13	6.84	5.38
13	54.3	53.3	55.5	4.79	5.42	4.14
12	44.1	43.2	45.1	4.06	4.74	3.34
11	37.7	36.8	38.7	3.73	4.49	2.94
10	34.4	33.5	35.3	3.7	4.43	2.93
9	36.2	35	37.5	3.66	4.15	3.14
8	44.9	42.8	47	3.71	3.91	3.5
7	56.8	53.6	60.1	3.75	3.77	3.72
6	67.8	63.8	72.1	3.87	3.98	3.75
5	74.1	69.7	78.7	4.03	4.36	3.68
4	71.7	67.9	75.7	4.37	4.88	3.82
3	61.4	58.9	63.9	5.8	6.55	5.01
2	70.1	68.9	71.4	11.2	12.5	9.81
1	172.9	175.4	170.2	31	34.1	27.6
0	1,530	1,613	1,443	266.1	293.9	236.8

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 88 in Denmark. The median age of death is 79.7 in Bangladesh and 85.2 in Denmark, 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 Denmark more than their death rates.

Life expectancy in other countries

+ -

1x