Life Expectancy in Bangladesh vs Finland (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Finland

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Finland
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102	101.9	102
99	101.2	100.9	101.3	101.1	101	101.1
98	100.3	99.9	100.4	100.3	100.1	100.3
97	99.4	99.1	99.6	99.5	99.3	99.5
96	98.6	98.2	98.8	98.7	98.4	98.7
95	97.8	97.4	98	97.9	97.6	98
94	97	96.6	97.2	97.1	96.8	97.2
93	96.3	95.9	96.5	96.4	96.1	96.5
92	95.5	95.1	95.8	95.7	95.3	95.9
91	94.8	94.4	95.1	95	94.6	95.2
90	94.1	93.6	94.4	94.4	93.9	94.6
89	93.4	92.9	93.8	93.8	93.3	94
88	92.8	92.2	93.1	93.2	92.6	93.5
87	92.1	91.6	92.5	92.6	92	93
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
84	90.3	89.6	90.8	91.1	90.4	91.6
83	89.7	89	90.2	90.7	89.9	91.2
82	89.2	88.5	89.7	90.3	89.4	90.9
81	88.6	87.9	89.2	89.9	89	90.5
80	88.1	87.4	88.7	89.5	88.5	90.2
79	87.6	86.8	88.3	89.2	88.1	89.9
78	87.1	86.3	87.8	88.8	87.7	89.7
77	86.7	85.8	87.4	88.5	87.4	89.4
76	86.2	85.4	87	88.2	87	89.2
75	85.8	84.9	86.6	88	86.7	89
74	85.4	84.5	86.2	87.7	86.4	88.8
73	85	84	85.9	87.4	86.1	88.6
72	84.6	83.6	85.5	87.2	85.8	88.4
71	84.2	83.2	85.2	86.9	85.5	88.2
70	83.9	82.9	84.9	86.7	85.2	88
69	83.6	82.5	84.6	86.5	84.9	87.9
68	83.3	82.2	84.3	86.3	84.7	87.7
67	83	81.9	84	86.1	84.4	87.6
66	82.7	81.6	83.8	85.9	84.2	87.4
65	82.4	81.3	83.5	85.7	83.9	87.3
64	82.2	81.1	83.3	85.5	83.7	87.2
63	81.9	80.8	83.1	85.3	83.5	87.1
62	81.6	80.5	82.9	85.2	83.3	86.9
61	81.4	80.2	82.7	85	83.1	86.8
60	81.2	79.9	82.5	84.9	82.9	86.7
59	80.9	79.6	82.3	84.8	82.8	86.6
58	80.7	79.4	82.2	84.6	82.6	86.6
57	80.5	79.1	82	84.5	82.5	86.5
56	80.3	78.9	81.8	84.4	82.3	86.4
55	80.1	78.7	81.7	84.3	82.2	86.3
54	80	78.5	81.5	84.2	82.1	86.2
53	79.8	78.3	81.4	84.1	82	86.2
52	79.7	78.1	81.3	84	81.8	86.1
51	79.5	78	81.1	83.9	81.7	86.1
50	79.4	77.8	81	83.9	81.6	86
49	79.2	77.7	80.9	83.8	81.6	86
48	79.1	77.6	80.8	83.7	81.5	85.9
47	79	77.4	80.7	83.7	81.4	85.9
46	78.9	77.3	80.6	83.6	81.3	85.8
45	78.8	77.3	80.5	83.5	81.3	85.8
44	78.8	77.2	80.5	83.5	81.2	85.8
43	78.7	77.1	80.4	83.4	81.1	85.7
42	78.6	77	80.3	83.4	81.1	85.7
41	78.5	77	80.2	83.4	81	85.7
40	78.5	76.9	80.2	83.3	81	85.6
39	78.4	76.8	80.1	83.3	80.9	85.6
38	78.4	76.8	80.1	83.2	80.9	85.6
37	78.3	76.7	80	83.2	80.8	85.6
36	78.3	76.7	80	83.2	80.8	85.6
35	78.2	76.6	79.9	83.1	80.7	85.5
34	78.2	76.6	79.9	83.1	80.7	85.5
33	78.1	76.5	79.8	83.1	80.7	85.5
32	78.1	76.5	79.8	83.1	80.6	85.5
31	78	76.4	79.8	83	80.6	85.5
30	78	76.4	79.7	83	80.5	85.5
29	77.9	76.3	79.7	83	80.5	85.4
28	77.9	76.3	79.6	82.9	80.5	85.4
27	77.8	76.2	79.6	82.9	80.4	85.4
26	77.8	76.2	79.6	82.9	80.4	85.4
25	77.8	76.1	79.5	82.8	80.3	85.4
24	77.7	76.1	79.5	82.8	80.3	85.4
23	77.7	76	79.4	82.8	80.3	85.3
22	77.6	76	79.4	82.8	80.2	85.3
21	77.6	75.9	79.3	82.7	80.2	85.3
20	77.5	75.9	79.3	82.7	80.1	85.3
19	77.5	75.8	79.2	82.7	80.1	85.3
18	77.4	75.8	79.2	82.7	80.1	85.3
17	77.4	75.7	79.1	82.6	80	85.2
16	77.3	75.7	79.1	82.6	80	85.2
15	77.3	75.6	79	82.6	80	85.2
14	77.2	75.6	79	82.6	80	85.2
13	77.2	75.6	78.9	82.6	80	85.2
12	77.2	75.5	78.9	82.6	80	85.2
11	77.1	75.5	78.9	82.6	80	85.2
10	77.1	75.5	78.9	82.6	80	85.2
9	77.1	75.5	78.8	82.6	80	85.2
8	77.1	75.4	78.8	82.6	80	85.2
7	77	75.4	78.8	82.6	80	85.2
6	77	75.3	78.7	82.6	80	85.2
5	76.9	75.3	78.6	82.6	80	85.2
4	76.9	75.2	78.6	82.6	80	85.2
3	76.8	75.2	78.5	82.6	80	85.2
2	76.8	75.2	78.5	82.6	80	85.2
1	76.6	75	78.3	82.5	79.9	85.2
0	75.5	73.8	77.2	82.4	79.8	85

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 83 in Finland, rising to 82.4 and 85.7 at 65, and to 88.1 and 89.5 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 Finland.

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Finland

Male

Female

1x

Age	Survival probability
	Bangladesh			Finland
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	1.97%	0.98%	2.82%
99	1.37%	0.63%	2.15%	3.01%	1.55%	4.27%
98	2.06%	1.05%	3.16%	4.43%	2.39%	6.22%
97	2.99%	1.63%	4.44%	6.27%	3.53%	8.71%
96	4.16%	2.43%	6.03%	8.58%	5.05%	11.8%
95	5.6%	3.46%	7.92%	11.4%	6.99%	15.4%
94	7.32%	4.75%	10.1%	14.6%	9.37%	19.5%
93	9.32%	6.3%	12.6%	18.3%	12.2%	24%
92	11.6%	8.13%	15.3%	22.3%	15.4%	28.8%
91	14.1%	10.2%	18.3%	26.5%	18.9%	33.9%
90	16.8%	12.6%	21.4%	30.9%	22.6%	39%
89	19.8%	15.2%	24.7%	35.4%	26.6%	44%
88	22.9%	18%	28.1%	39.8%	30.7%	48.8%
87	26.1%	21%	31.6%	44.2%	34.9%	53.5%
86	29.4%	24.1%	35%	48.4%	39%	57.8%
85	32.7%	27.4%	38.5%	52.3%	43%	61.7%
84	36.1%	30.7%	41.9%	56%	46.8%	65.3%
83	39.4%	34%	45.2%	59.5%	50.4%	68.6%
82	42.7%	37.3%	48.5%	62.6%	53.8%	71.5%
81	45.9%	40.5%	51.7%	65.5%	57%	74.2%
80	49%	43.7%	54.7%	68.2%	60%	76.5%
79	52%	46.8%	57.6%	70.7%	62.9%	78.6%
78	54.9%	49.9%	60.3%	72.9%	65.5%	80.5%
77	57.7%	52.9%	62.9%	75%	67.9%	82.2%
76	60.4%	55.7%	65.3%	76.9%	70.2%	83.7%
75	62.9%	58.5%	67.6%	78.6%	72.3%	85.1%
74	65.2%	61.1%	69.8%	80.2%	74.3%	86.3%
73	67.5%	63.5%	71.8%	81.7%	76.1%	87.4%
72	69.6%	65.8%	73.6%	83%	77.8%	88.5%
71	71.5%	68%	75.4%	84.3%	79.4%	89.4%
70	73.4%	69.9%	77%	85.5%	80.9%	90.2%
69	75.1%	71.8%	78.6%	86.6%	82.3%	91%
68	76.6%	73.4%	80%	87.6%	83.7%	91.7%
67	78.1%	75%	81.4%	88.6%	84.9%	92.4%
66	79.5%	76.4%	82.6%	89.5%	86.1%	93%
65	80.7%	77.8%	83.8%	90.3%	87.2%	93.6%
64	81.9%	79.2%	84.8%	91.1%	88.2%	94.1%
63	83.1%	80.5%	85.8%	91.8%	89.1%	94.6%
62	84.2%	81.8%	86.6%	92.5%	90%	95.1%
61	85.2%	83%	87.4%	93.1%	90.8%	95.5%
60	86.2%	84.2%	88.1%	93.6%	91.5%	95.8%
59	87.1%	85.4%	88.8%	94.1%	92.2%	96.2%
58	87.9%	86.4%	89.4%	94.5%	92.8%	96.4%
57	88.7%	87.4%	90%	95%	93.3%	96.7%
56	89.4%	88.3%	90.5%	95.3%	93.8%	97%
55	90.1%	89.1%	91%	95.7%	94.3%	97.2%
54	90.7%	89.8%	91.5%	96%	94.7%	97.4%
53	91.3%	90.5%	92%	96.3%	95.1%	97.6%
52	91.8%	91.1%	92.4%	96.6%	95.4%	97.8%
51	92.3%	91.7%	92.8%	96.8%	95.7%	98%
50	92.7%	92.2%	93.2%	97%	96%	98.1%
49	93.1%	92.6%	93.5%	97.3%	96.3%	98.3%
48	93.4%	93%	93.8%	97.4%	96.5%	98.4%
47	93.8%	93.4%	94.1%	97.6%	96.8%	98.5%
46	94%	93.7%	94.3%	97.7%	97%	98.6%
45	94.3%	94%	94.5%	97.9%	97.1%	98.7%
44	94.5%	94.2%	94.7%	98%	97.3%	98.8%
43	94.7%	94.4%	94.9%	98.1%	97.5%	98.8%
42	94.9%	94.6%	95.1%	98.2%	97.6%	98.9%
41	95.1%	94.8%	95.3%	98.3%	97.7%	99%
40	95.2%	95%	95.5%	98.4%	97.9%	99%
39	95.4%	95.1%	95.6%	98.5%	98%	99.1%
38	95.5%	95.3%	95.7%	98.6%	98.1%	99.1%
37	95.6%	95.4%	95.8%	98.7%	98.2%	99.2%
36	95.7%	95.5%	95.9%	98.7%	98.3%	99.2%
35	95.9%	95.6%	96%	98.8%	98.4%	99.2%
34	96%	95.8%	96.1%	98.9%	98.5%	99.3%
33	96.1%	95.9%	96.2%	98.9%	98.6%	99.3%
32	96.2%	96%	96.3%	99%	98.7%	99.3%
31	96.3%	96.1%	96.4%	99%	98.7%	99.4%
30	96.3%	96.2%	96.5%	99.1%	98.8%	99.4%
29	96.4%	96.3%	96.5%	99.2%	98.9%	99.4%
28	96.5%	96.4%	96.6%	99.2%	99%	99.4%
27	96.6%	96.5%	96.7%	99.3%	99%	99.5%
26	96.7%	96.6%	96.8%	99.3%	99.1%	99.5%
25	96.7%	96.7%	96.8%	99.4%	99.2%	99.5%
24	96.8%	96.7%	96.9%	99.4%	99.3%	99.6%
23	96.9%	96.8%	97%	99.5%	99.3%	99.6%
22	97%	96.9%	97%	99.5%	99.4%	99.6%
21	97%	97%	97.1%	99.6%	99.5%	99.6%
20	97.1%	97.1%	97.2%	99.6%	99.5%	99.7%
19	97.2%	97.2%	97.3%	99.6%	99.6%	99.7%
18	97.3%	97.3%	97.4%	99.7%	99.6%	99.7%
17	97.4%	97.4%	97.5%	99.7%	99.7%	99.7%
16	97.5%	97.4%	97.6%	99.7%	99.7%	99.7%
15	97.6%	97.5%	97.6%	99.7%	99.7%	99.8%
14	97.6%	97.6%	97.7%	99.7%	99.7%	99.8%
13	97.7%	97.6%	97.8%	99.8%	99.7%	99.8%
12	97.7%	97.7%	97.8%	99.8%	99.7%	99.8%
11	97.8%	97.7%	97.8%	99.8%	99.7%	99.8%
10	97.8%	97.8%	97.9%	99.8%	99.8%	99.8%
9	97.9%	97.8%	97.9%	99.8%	99.8%	99.8%
8	97.9%	97.8%	98%	99.8%	99.8%	99.8%
7	98%	97.9%	98%	99.8%	99.8%	99.8%
6	98%	97.9%	98.1%	99.8%	99.8%	99.8%
5	98.1%	98%	98.2%	99.8%	99.8%	99.8%
4	98.2%	98.1%	98.3%	99.8%	99.8%	99.8%
3	98.2%	98.1%	98.3%	99.8%	99.8%	99.8%
2	98.3%	98.2%	98.4%	99.8%	99.8%	99.8%
1	98.5%	98.4%	98.6%	99.8%	99.8%	99.8%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 93.6% in Finland are expected to live past 60, 73.4% and 85.5% past 70, 49% and 68.2% past 80, and only 16.8% and 30.9% 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

Finland

Male

Female

1x

Age	Probability of dying
	Bangladesh			Finland
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	37%	39.7%	36.6%
99	36.9%	43.4%	35%	34.6%	37.3%	34%
98	33.8%	39.5%	31.9%	32%	34.9%	31.3%
97	30.9%	36%	29%	29.4%	32.5%	28.6%
96	28.2%	32.7%	26.3%	26.9%	30.1%	26%
95	25.7%	29.8%	23.8%	24.5%	27.7%	23.5%
94	23.5%	27.1%	21.6%	22.2%	25.4%	21.1%
93	21.4%	24.7%	19.6%	20%	23%	18.8%
92	19.5%	22.5%	17.9%	18%	20.7%	16.8%
91	17.8%	20.5%	16.2%	16%	18.6%	14.8%
90	16.3%	18.7%	14.7%	14.3%	16.7%	13.1%
89	14.8%	17.1%	13.3%	12.6%	15%	11.4%
88	13.5%	15.6%	12.1%	11.2%	13.4%	9.94%
87	12.3%	14.3%	10.9%	9.85%	11.9%	8.63%
86	11.2%	13%	9.89%	8.64%	10.5%	7.46%
85	10.2%	11.9%	8.97%	7.57%	9.29%	6.43%
84	9.3%	10.8%	8.14%	6.6%	8.15%	5.52%
83	8.45%	9.74%	7.4%	5.76%	7.16%	4.75%
82	7.68%	8.82%	6.72%	5.04%	6.33%	4.09%
81	6.98%	8.01%	6.1%	4.44%	5.62%	3.55%
80	6.36%	7.29%	5.53%	3.93%	5.01%	3.09%
79	5.8%	6.68%	5.02%	3.47%	4.47%	2.69%
78	5.29%	6.12%	4.54%	3.09%	4%	2.35%
77	4.82%	5.61%	4.11%	2.75%	3.59%	2.05%
76	4.39%	5.14%	3.73%	2.46%	3.23%	1.8%
75	3.99%	4.69%	3.37%	2.21%	2.92%	1.6%
74	3.64%	4.27%	3.06%	2%	2.66%	1.43%
73	3.32%	3.87%	2.78%	1.81%	2.42%	1.28%
72	3.02%	3.49%	2.54%	1.65%	2.21%	1.16%
71	2.74%	3.15%	2.32%	1.51%	2.03%	1.05%
70	2.49%	2.82%	2.13%	1.38%	1.86%	0.95%
69	2.26%	2.53%	1.96%	1.27%	1.71%	0.86%
68	2.05%	2.28%	1.81%	1.17%	1.58%	0.78%
67	1.87%	2.07%	1.66%	1.08%	1.46%	0.72%
66	1.72%	1.9%	1.52%	1%	1.35%	0.67%
65	1.58%	1.78%	1.38%	0.93%	1.26%	0.62%
64	1.47%	1.69%	1.24%	0.86%	1.16%	0.56%
63	1.38%	1.63%	1.11%	0.78%	1.06%	0.51%
62	1.29%	1.57%	0.99%	0.71%	0.96%	0.46%
61	1.21%	1.51%	0.89%	0.64%	0.87%	0.42%
60	1.12%	1.43%	0.81%	0.58%	0.79%	0.38%
59	1.04%	1.33%	0.74%	0.53%	0.71%	0.34%
58	0.96%	1.23%	0.69%	0.48%	0.65%	0.31%
57	0.88%	1.12%	0.64%	0.43%	0.59%	0.28%
56	0.8%	1.01%	0.6%	0.4%	0.53%	0.26%
55	0.74%	0.91%	0.57%	0.36%	0.48%	0.24%
54	0.68%	0.83%	0.54%	0.33%	0.44%	0.22%
53	0.62%	0.75%	0.5%	0.31%	0.4%	0.2%
52	0.57%	0.68%	0.47%	0.28%	0.37%	0.19%
51	0.52%	0.61%	0.44%	0.26%	0.34%	0.17%
50	0.47%	0.55%	0.4%	0.23%	0.31%	0.16%
49	0.42%	0.48%	0.36%	0.21%	0.28%	0.14%
48	0.37%	0.43%	0.32%	0.19%	0.25%	0.12%
47	0.33%	0.37%	0.28%	0.17%	0.22%	0.11%
46	0.29%	0.33%	0.25%	0.15%	0.2%	0.1%
45	0.26%	0.29%	0.23%	0.14%	0.19%	0.09%
44	0.23%	0.26%	0.21%	0.13%	0.17%	0.08%
43	0.22%	0.23%	0.2%	0.12%	0.16%	0.07%
42	0.2%	0.21%	0.19%	0.11%	0.15%	0.07%
41	0.19%	0.19%	0.18%	0.1%	0.14%	0.06%
40	0.17%	0.18%	0.17%	0.09%	0.13%	0.06%
39	0.16%	0.16%	0.15%	0.09%	0.12%	0.05%
38	0.14%	0.15%	0.14%	0.08%	0.11%	0.05%
37	0.13%	0.14%	0.12%	0.08%	0.11%	0.04%
36	0.12%	0.13%	0.11%	0.07%	0.1%	0.04%
35	0.11%	0.13%	0.1%	0.07%	0.09%	0.04%
34	0.11%	0.12%	0.09%	0.06%	0.09%	0.03%
33	0.1%	0.12%	0.09%	0.06%	0.09%	0.03%
32	0.1%	0.12%	0.09%	0.06%	0.09%	0.03%
31	0.1%	0.12%	0.09%	0.06%	0.08%	0.03%
30	0.1%	0.11%	0.09%	0.06%	0.08%	0.03%
29	0.09%	0.11%	0.08%	0.05%	0.08%	0.03%
28	0.09%	0.1%	0.08%	0.05%	0.08%	0.03%
27	0.08%	0.09%	0.07%	0.05%	0.08%	0.03%
26	0.08%	0.08%	0.07%	0.05%	0.07%	0.03%
25	0.07%	0.08%	0.07%	0.05%	0.07%	0.03%
24	0.07%	0.08%	0.07%	0.05%	0.07%	0.03%
23	0.08%	0.08%	0.07%	0.05%	0.07%	0.03%
22	0.08%	0.08%	0.07%	0.05%	0.07%	0.03%
21	0.08%	0.09%	0.08%	0.05%	0.07%	0.03%
20	0.09%	0.09%	0.09%	0.05%	0.07%	0.03%
19	0.09%	0.1%	0.09%	0.04%	0.06%	0.02%
18	0.1%	0.1%	0.09%	0.03%	0.05%	0.02%
17	0.09%	0.09%	0.09%	0.03%	0.03%	0.02%
16	0.09%	0.09%	0.09%	0.02%	0.02%	0.01%
15	0.08%	0.08%	0.08%	0.01%	0.02%	0.01%
14	0.07%	0.07%	0.07%	0.01%	0.01%	0.009%
13	0.06%	0.05%	0.06%	0.008%	0.008%	0.008%
12	0.05%	0.04%	0.05%	0.006%	0.006%	0.007%
11	0.04%	0.04%	0.04%	0.005%	0.005%	0.006%
10	0.04%	0.03%	0.04%	0.005%	0.004%	0.005%
9	0.04%	0.04%	0.04%	0.004%	0.004%	0.005%
8	0.05%	0.04%	0.05%	0.004%	0.003%	0.004%
7	0.06%	0.05%	0.06%	0.004%	0.003%	0.004%
6	0.07%	0.07%	0.07%	0.004%	0.004%	0.003%
5	0.08%	0.07%	0.08%	0.004%	0.004%	0.003%
4	0.07%	0.07%	0.08%	0.005%	0.006%	0.004%
3	0.06%	0.06%	0.07%	0.007%	0.008%	0.005%
2	0.07%	0.07%	0.07%	0.01%	0.02%	0.009%
1	0.18%	0.18%	0.17%	0.03%	0.03%	0.02%
0	1.53%	1.61%	1.44%	0.16%	0.17%	0.15%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.16% in Finland, 0.1% vs 0.06% at age 30, 1.12% vs 0.58% at 60, and 6.36% vs 3.93% at 80.

Death rate by age in Bangladesh vs Finland

Chart Table

Bangladesh

Male

Female

Finland

Male

Female

1x

Age	Death rate
	Bangladesh			Finland
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	566	181.9	885
99	504	274.2	753	1,042	580	1,453
98	698	414	1,006	1,416	832	1,947
97	924	588	1,288	1,844	1,147	2,495
96	1,175	796	1,587	2,307	1,520	3,061
95	1,440	1,030	1,887	2,785	1,938	3,610
94	1,718	1,287	2,186	3,244	2,377	4,106
93	1,995	1,557	2,471	3,655	2,804	4,522
92	2,264	1,828	2,735	3,996	3,185	4,834
91	2,514	2,095	2,969	4,252	3,512	5,027
90	2,738	2,353	3,155	4,409	3,779	5,086
89	2,932	2,596	3,297	4,472	3,982	5,023
88	3,093	2,815	3,394	4,452	4,106	4,854
87	3,217	3,003	3,447	4,354	4,155	4,613
86	3,301	3,148	3,465	4,180	4,112	4,311
85	3,347	3,247	3,451	3,960	3,992	3,968
84	3,355	3,299	3,412	3,696	3,816	3,607
83	3,331	3,310	3,348	3,423	3,613	3,255
82	3,279	3,289	3,261	3,155	3,405	2,929
81	3,205	3,246	3,153	2,912	3,206	2,634
80	3,114	3,189	3,027	2,680	3,009	2,364
79	3,015	3,128	2,889	2,455	2,808	2,113
78	2,903	3,054	2,742	2,251	2,618	1,889
77	2,781	2,966	2,589	2,058	2,435	1,686
76	2,649	2,862	2,434	1,887	2,265	1,510
75	2,510	2,740	2,281	1,736	2,111	1,360
74	2,374	2,605	2,137	1,602	1,973	1,232
73	2,238	2,458	1,998	1,481	1,843	1,120
72	2,099	2,301	1,868	1,369	1,721	1,022
71	1,961	2,138	1,748	1,270	1,609	935
70	1,826	1,974	1,638	1,181	1,503	855
69	1,697	1,817	1,540	1,096	1,406	782
68	1,574	1,674	1,445	1,021	1,319	719
67	1,463	1,551	1,351	953	1,237	664
66	1,364	1,452	1,255	895	1,166	621
65	1,278	1,382	1,154	839	1,096	578
64	1,206	1,339	1,052	780	1,023	529
63	1,143	1,310	953	718	946	483
62	1,085	1,285	861	657	868	439
61	1,028	1,253	781	600	793	401
60	968	1,203	714	546	722	364
59	906	1,138	659	496	657	330
58	841	1,059	615	451	599	298.6
57	778	975	577	413	546	272.8
56	718	892	545	378	500	251.4
55	664	814	516	346	455	232.1
54	615	743	490	318	416	214.6
53	570	679	464	294.2	383	198.7
52	526	618	437	271.5	354	183.5
51	482	560	406	249.8	326	168.7
50	437	503	371	228	296.9	153.6
49	391	448	334	204.7	267.6	137.5
48	347	396	296.7	183.1	240.6	121.7
47	307	349	263.5	164.3	217.1	107.6
46	272.6	308	235.8	149.4	198.7	96.5
45	244	272.8	214.7	137.1	183.3	87.4
44	221.8	243.8	200.3	126.1	169.1	79.4
43	204.5	219.6	190.2	116	156.1	72.5
42	190.1	199.2	181.9	106.2	143.4	66
41	177.1	181.7	173	97.9	132.8	60
40	164	166.5	161.7	91.5	124.9	55.1
39	149.7	153.1	146.8	86	118	51.1
38	135.6	141.5	130.4	80.9	111.6	47.6
37	123.1	132.1	115.1	75.5	104.5	44.1
36	112.9	124.8	102.4	70.2	97.6	40.6
35	105.6	119.7	93.2	65.9	92.3	37.4
34	101.3	116.7	87.9	62.5	88.3	34.6
33	99.2	115.2	85.6	60.2	85.9	32.5
32	98.3	114.1	85	59	84.5	31.7
31	97.4	112.5	84.9	58.2	82.8	32
30	95.3	109.1	84	56.6	80	31.5
29	90.9	103.1	81.1	54.3	77.1	30
28	85.2	95.6	76.8	52.3	75.1	28.1
27	79.3	88.1	72.3	51.5	74.4	26.8
26	74.5	81.9	68.5	51	73.7	26.5
25	71.7	78	66.4	50.9	73.2	27
24	71	76.7	66.2	50.5	72.1	27.6
23	73	78.2	68.4	50.1	71.3	27.9
22	76.9	81.7	72.4	50.1	71.2	28
21	81.9	86.3	77.8	49.3	70.1	27.6
20	87.2	90.9	83.5	46.6	65.8	26.5
19	91.1	93.9	88.3	40.8	56.7	24.1
18	92.8	94.5	91	33.1	45	20.6
17	91.4	92	90.8	25.4	33.6	16.9
16	86.6	86.2	87	18.6	23.5	13.5
15	78	77	79	13.6	16.1	11
14	66.5	65.4	67.8	10.2	11.1	9.31
13	54.3	53.3	55.5	7.9	7.79	8.01
12	44.1	43.2	45.1	6.36	5.79	6.97
11	37.7	36.8	38.7	5.39	4.68	6.14
10	34.4	33.5	35.3	4.67	4.01	5.35
9	36.2	35	37.5	4.07	3.57	4.59
8	44.9	42.8	47	3.68	3.34	4.03
7	56.8	53.6	60.1	3.52	3.38	3.67
6	67.8	63.8	72.1	3.59	3.72	3.46
5	74.1	69.7	78.7	3.91	4.35	3.44
4	71.7	67.9	75.7	4.71	5.54	3.84
3	61.4	58.9	63.9	6.74	8.21	5.19
2	70.1	68.9	71.4	12.3	15.2	9.23
1	172.9	175.4	170.2	28.5	34.6	22.1
0	1,530	1,613	1,443	159.4	167.4	151

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 89 in Finland. The median age of death is 79.7 in Bangladesh and 85.6 in Finland, 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 Finland more than their death rates.

Life expectancy in other countries

+ -

1x