Life Expectancy in Bangladesh vs Switzerland (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Switzerland

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Switzerland
	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	101.2
98	100.3	99.9	100.4	100.3	100.2	100.3
97	99.4	99.1	99.6	99.5	99.3	99.5
96	98.6	98.2	98.8	98.7	98.5	98.8
95	97.8	97.4	98	97.9	97.7	98
94	97	96.6	97.2	97.2	97	97.3
93	96.3	95.9	96.5	96.5	96.2	96.6
92	95.5	95.1	95.8	95.8	95.5	96
91	94.8	94.4	95.1	95.2	94.8	95.4
90	94.1	93.6	94.4	94.5	94.1	94.8
89	93.4	92.9	93.8	94	93.5	94.2
88	92.8	92.2	93.1	93.4	92.9	93.7
87	92.1	91.6	92.5	92.9	92.3	93.2
86	91.5	90.9	91.9	92.4	91.8	92.8
85	90.9	90.3	91.3	91.9	91.3	92.4
84	90.3	89.6	90.8	91.5	90.8	92
83	89.7	89	90.2	91.1	90.4	91.6
82	89.2	88.5	89.7	90.7	90	91.3
81	88.6	87.9	89.2	90.4	89.6	91
80	88.1	87.4	88.7	90.1	89.2	90.7
79	87.6	86.8	88.3	89.8	88.9	90.5
78	87.1	86.3	87.8	89.5	88.5	90.2
77	86.7	85.8	87.4	89.2	88.2	90
76	86.2	85.4	87	89	87.9	89.8
75	85.8	84.9	86.6	88.7	87.7	89.6
74	85.4	84.5	86.2	88.5	87.4	89.4
73	85	84	85.9	88.3	87.1	89.3
72	84.6	83.6	85.5	88.1	86.9	89.1
71	84.2	83.2	85.2	87.9	86.6	88.9
70	83.9	82.9	84.9	87.7	86.4	88.8
69	83.6	82.5	84.6	87.5	86.2	88.7
68	83.3	82.2	84.3	87.3	86	88.5
67	83	81.9	84	87.2	85.8	88.4
66	82.7	81.6	83.8	87	85.6	88.3
65	82.4	81.3	83.5	86.9	85.4	88.1
64	82.2	81.1	83.3	86.7	85.3	88
63	81.9	80.8	83.1	86.6	85.1	87.9
62	81.6	80.5	82.9	86.5	85	87.8
61	81.4	80.2	82.7	86.3	84.8	87.8
60	81.2	79.9	82.5	86.2	84.7	87.7
59	80.9	79.6	82.3	86.1	84.6	87.6
58	80.7	79.4	82.2	86	84.5	87.5
57	80.5	79.1	82	85.9	84.4	87.4
56	80.3	78.9	81.8	85.9	84.3	87.4
55	80.1	78.7	81.7	85.8	84.2	87.3
54	80	78.5	81.5	85.7	84.1	87.3
53	79.8	78.3	81.4	85.6	84	87.2
52	79.7	78.1	81.3	85.6	83.9	87.2
51	79.5	78	81.1	85.5	83.8	87.1
50	79.4	77.8	81	85.5	83.8	87.1
49	79.2	77.7	80.9	85.4	83.7	87
48	79.1	77.6	80.8	85.4	83.7	87
47	79	77.4	80.7	85.3	83.6	87
46	78.9	77.3	80.6	85.3	83.6	86.9
45	78.8	77.3	80.5	85.2	83.5	86.9
44	78.8	77.2	80.5	85.2	83.5	86.9
43	78.7	77.1	80.4	85.2	83.5	86.8
42	78.6	77	80.3	85.2	83.4	86.8
41	78.5	77	80.2	85.1	83.4	86.8
40	78.5	76.9	80.2	85.1	83.4	86.8
39	78.4	76.8	80.1	85.1	83.3	86.8
38	78.4	76.8	80.1	85.1	83.3	86.7
37	78.3	76.7	80	85	83.3	86.7
36	78.3	76.7	80	85	83.3	86.7
35	78.2	76.6	79.9	85	83.2	86.7
34	78.2	76.6	79.9	85	83.2	86.7
33	78.1	76.5	79.8	85	83.2	86.7
32	78.1	76.5	79.8	84.9	83.2	86.7
31	78	76.4	79.8	84.9	83.1	86.7
30	78	76.4	79.7	84.9	83.1	86.6
29	77.9	76.3	79.7	84.9	83.1	86.6
28	77.9	76.3	79.6	84.9	83.1	86.6
27	77.8	76.2	79.6	84.9	83.1	86.6
26	77.8	76.2	79.6	84.9	83	86.6
25	77.8	76.1	79.5	84.8	83	86.6
24	77.7	76.1	79.5	84.8	83	86.6
23	77.7	76	79.4	84.8	83	86.6
22	77.6	76	79.4	84.8	83	86.6
21	77.6	75.9	79.3	84.8	82.9	86.6
20	77.5	75.9	79.3	84.8	82.9	86.6
19	77.5	75.8	79.2	84.7	82.9	86.5
18	77.4	75.8	79.2	84.7	82.9	86.5
17	77.4	75.7	79.1	84.7	82.8	86.5
16	77.3	75.7	79.1	84.7	82.8	86.5
15	77.3	75.6	79	84.7	82.8	86.5
14	77.2	75.6	79	84.7	82.8	86.5
13	77.2	75.6	78.9	84.7	82.8	86.5
12	77.2	75.5	78.9	84.7	82.8	86.5
11	77.1	75.5	78.9	84.7	82.8	86.5
10	77.1	75.5	78.9	84.7	82.8	86.5
9	77.1	75.5	78.8	84.7	82.8	86.5
8	77.1	75.4	78.8	84.7	82.8	86.5
7	77	75.4	78.8	84.7	82.8	86.5
6	77	75.3	78.7	84.7	82.8	86.5
5	76.9	75.3	78.6	84.7	82.8	86.5
4	76.9	75.2	78.6	84.7	82.8	86.5
3	76.8	75.2	78.5	84.6	82.8	86.5
2	76.8	75.2	78.5	84.6	82.8	86.5
1	76.6	75	78.3	84.6	82.7	86.4
0	75.5	73.8	77.2	84.4	82.5	86.2

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 84.9 in Switzerland, rising to 82.4 and 86.9 at 65, and to 88.1 and 90.1 at 80 — higher than the 75.5 and 84.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Switzerland

Male

Female

1x

Age	Survival probability
	Bangladesh			Switzerland
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	2.59%	1.52%	3.5%
99	1.37%	0.63%	2.15%	3.94%	2.39%	5.27%
98	2.06%	1.05%	3.16%	5.76%	3.62%	7.62%
97	2.99%	1.63%	4.44%	8.1%	5.27%	10.6%
96	4.16%	2.43%	6.03%	11%	7.39%	14.2%
95	5.6%	3.46%	7.92%	14.4%	9.99%	18.3%
94	7.32%	4.75%	10.1%	18.3%	13.1%	23%
93	9.32%	6.3%	12.6%	22.6%	16.6%	28.1%
92	11.6%	8.13%	15.3%	27.2%	20.7%	33.3%
91	14.1%	10.2%	18.3%	32.1%	25%	38.6%
90	16.8%	12.6%	21.4%	37%	29.6%	43.9%
89	19.8%	15.2%	24.7%	41.8%	34.3%	49%
88	22.9%	18%	28.1%	46.6%	38.9%	53.9%
87	26.1%	21%	31.6%	51.1%	43.5%	58.5%
86	29.4%	24.1%	35%	55.4%	47.9%	62.6%
85	32.7%	27.4%	38.5%	59.3%	52.1%	66.4%
84	36.1%	30.7%	41.9%	63%	56%	69.8%
83	39.4%	34%	45.2%	66.3%	59.6%	72.8%
82	42.7%	37.3%	48.5%	69.3%	62.9%	75.5%
81	45.9%	40.5%	51.7%	72%	66%	77.9%
80	49%	43.7%	54.7%	74.4%	68.8%	79.9%
79	52%	46.8%	57.6%	76.6%	71.3%	81.8%
78	54.9%	49.9%	60.3%	78.5%	73.6%	83.4%
77	57.7%	52.9%	62.9%	80.3%	75.7%	84.9%
76	60.4%	55.7%	65.3%	81.9%	77.6%	86.2%
75	62.9%	58.5%	67.6%	83.4%	79.4%	87.4%
74	65.2%	61.1%	69.8%	84.7%	81.1%	88.5%
73	67.5%	63.5%	71.8%	86%	82.6%	89.5%
72	69.6%	65.8%	73.6%	87.2%	84%	90.4%
71	71.5%	68%	75.4%	88.2%	85.3%	91.2%
70	73.4%	69.9%	77%	89.2%	86.5%	91.9%
69	75.1%	71.8%	78.6%	90.1%	87.6%	92.6%
68	76.6%	73.4%	80%	90.9%	88.6%	93.2%
67	78.1%	75%	81.4%	91.7%	89.6%	93.8%
66	79.5%	76.4%	82.6%	92.4%	90.5%	94.3%
65	80.7%	77.8%	83.8%	93%	91.3%	94.8%
64	81.9%	79.2%	84.8%	93.6%	92.1%	95.2%
63	83.1%	80.5%	85.8%	94.2%	92.7%	95.6%
62	84.2%	81.8%	86.6%	94.7%	93.4%	96%
61	85.2%	83%	87.4%	95.1%	93.9%	96.3%
60	86.2%	84.2%	88.1%	95.5%	94.4%	96.6%
59	87.1%	85.4%	88.8%	95.9%	94.9%	96.9%
58	87.9%	86.4%	89.4%	96.2%	95.3%	97.1%
57	88.7%	87.4%	90%	96.5%	95.7%	97.4%
56	89.4%	88.3%	90.5%	96.8%	96%	97.6%
55	90.1%	89.1%	91%	97%	96.3%	97.8%
54	90.7%	89.8%	91.5%	97.3%	96.6%	97.9%
53	91.3%	90.5%	92%	97.5%	96.9%	98.1%
52	91.8%	91.1%	92.4%	97.7%	97.1%	98.2%
51	92.3%	91.7%	92.8%	97.8%	97.3%	98.4%
50	92.7%	92.2%	93.2%	98%	97.5%	98.5%
49	93.1%	92.6%	93.5%	98.1%	97.7%	98.6%
48	93.4%	93%	93.8%	98.2%	97.8%	98.7%
47	93.8%	93.4%	94.1%	98.3%	97.9%	98.8%
46	94%	93.7%	94.3%	98.4%	98.1%	98.8%
45	94.3%	94%	94.5%	98.5%	98.2%	98.9%
44	94.5%	94.2%	94.7%	98.6%	98.3%	99%
43	94.7%	94.4%	94.9%	98.7%	98.4%	99%
42	94.9%	94.6%	95.1%	98.8%	98.5%	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%	98.7%	99.2%
37	95.6%	95.4%	95.8%	99%	98.8%	99.3%
36	95.7%	95.5%	95.9%	99.1%	98.8%	99.3%
35	95.9%	95.6%	96%	99.1%	98.9%	99.3%
34	96%	95.8%	96.1%	99.1%	98.9%	99.3%
33	96.1%	95.9%	96.2%	99.2%	99%	99.4%
32	96.2%	96%	96.3%	99.2%	99%	99.4%
31	96.3%	96.1%	96.4%	99.2%	99%	99.4%
30	96.3%	96.2%	96.5%	99.3%	99.1%	99.4%
29	96.4%	96.3%	96.5%	99.3%	99.1%	99.5%
28	96.5%	96.4%	96.6%	99.3%	99.2%	99.5%
27	96.6%	96.5%	96.7%	99.3%	99.2%	99.5%
26	96.7%	96.6%	96.8%	99.4%	99.2%	99.5%
25	96.7%	96.7%	96.8%	99.4%	99.3%	99.5%
24	96.8%	96.7%	96.9%	99.4%	99.3%	99.5%
23	96.9%	96.8%	97%	99.4%	99.3%	99.5%
22	97%	96.9%	97%	99.5%	99.4%	99.6%
21	97%	97%	97.1%	99.5%	99.4%	99.6%
20	97.1%	97.1%	97.2%	99.5%	99.5%	99.6%
19	97.2%	97.2%	97.3%	99.5%	99.5%	99.6%
18	97.3%	97.3%	97.4%	99.6%	99.5%	99.6%
17	97.4%	97.4%	97.5%	99.6%	99.5%	99.6%
16	97.5%	97.4%	97.6%	99.6%	99.6%	99.6%
15	97.6%	97.5%	97.6%	99.6%	99.6%	99.6%
14	97.6%	97.6%	97.7%	99.6%	99.6%	99.6%
13	97.7%	97.6%	97.8%	99.6%	99.6%	99.6%
12	97.7%	97.7%	97.8%	99.6%	99.6%	99.6%
11	97.8%	97.7%	97.8%	99.6%	99.6%	99.6%
10	97.8%	97.8%	97.9%	99.6%	99.6%	99.7%
9	97.9%	97.8%	97.9%	99.6%	99.6%	99.7%
8	97.9%	97.8%	98%	99.6%	99.6%	99.7%
7	98%	97.9%	98%	99.6%	99.6%	99.7%
6	98%	97.9%	98.1%	99.6%	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%	99.6%	99.7%
3	98.2%	98.1%	98.3%	99.7%	99.6%	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%	99.7%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 95.5% in Switzerland are expected to live past 60, 73.4% and 89.2% past 70, 49% and 74.4% past 80, and only 16.8% and 37% 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

Switzerland

Male

Female

1x

Age	Probability of dying
	Bangladesh			Switzerland
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	37%	39.1%	36.3%
99	36.9%	43.4%	35%	34.3%	36.4%	33.7%
98	33.8%	39.5%	31.9%	31.6%	33.9%	30.8%
97	30.9%	36%	29%	28.9%	31.4%	28%
96	28.2%	32.7%	26.3%	26.2%	28.7%	25.3%
95	25.7%	29.8%	23.8%	23.7%	26%	22.7%
94	23.5%	27.1%	21.6%	21.3%	23.6%	20.3%
93	21.4%	24.7%	19.6%	19.1%	21.4%	18%
92	19.5%	22.5%	17.9%	17%	19.5%	15.8%
91	17.8%	20.5%	16.2%	15.1%	17.5%	13.8%
90	16.3%	18.7%	14.7%	13.3%	15.5%	12%
89	14.8%	17.1%	13.3%	11.6%	13.6%	10.5%
88	13.5%	15.6%	12.1%	10.2%	11.9%	9.08%
87	12.3%	14.3%	10.9%	8.86%	10.5%	7.78%
86	11.2%	13%	9.89%	7.67%	9.2%	6.62%
85	10.2%	11.9%	8.97%	6.66%	8.02%	5.68%
84	9.3%	10.8%	8.14%	5.78%	6.96%	4.88%
83	8.45%	9.74%	7.4%	5%	6.05%	4.18%
82	7.68%	8.82%	6.72%	4.31%	5.27%	3.56%
81	6.98%	8.01%	6.1%	3.75%	4.64%	3.02%
80	6.36%	7.29%	5.53%	3.26%	4.07%	2.58%
79	5.8%	6.68%	5.02%	2.84%	3.56%	2.24%
78	5.29%	6.12%	4.54%	2.49%	3.12%	1.96%
77	4.82%	5.61%	4.11%	2.2%	2.76%	1.73%
76	4.39%	5.14%	3.73%	1.97%	2.47%	1.53%
75	3.99%	4.69%	3.37%	1.78%	2.24%	1.37%
74	3.64%	4.27%	3.06%	1.61%	2.05%	1.22%
73	3.32%	3.87%	2.78%	1.46%	1.87%	1.1%
72	3.02%	3.49%	2.54%	1.33%	1.7%	1%
71	2.74%	3.15%	2.32%	1.2%	1.53%	0.9%
70	2.49%	2.82%	2.13%	1.08%	1.37%	0.8%
69	2.26%	2.53%	1.96%	0.97%	1.24%	0.72%
68	2.05%	2.28%	1.81%	0.9%	1.16%	0.65%
67	1.87%	2.07%	1.66%	0.84%	1.08%	0.61%
66	1.72%	1.9%	1.52%	0.77%	0.98%	0.57%
65	1.58%	1.78%	1.38%	0.71%	0.89%	0.53%
64	1.47%	1.69%	1.24%	0.64%	0.82%	0.46%
63	1.38%	1.63%	1.11%	0.57%	0.74%	0.41%
62	1.29%	1.57%	0.99%	0.52%	0.66%	0.37%
61	1.21%	1.51%	0.89%	0.47%	0.6%	0.34%
60	1.12%	1.43%	0.81%	0.43%	0.54%	0.31%
59	1.04%	1.33%	0.74%	0.38%	0.47%	0.29%
58	0.96%	1.23%	0.69%	0.34%	0.42%	0.26%
57	0.88%	1.12%	0.64%	0.31%	0.39%	0.23%
56	0.8%	1.01%	0.6%	0.29%	0.36%	0.21%
55	0.74%	0.91%	0.57%	0.26%	0.33%	0.2%
54	0.68%	0.83%	0.54%	0.24%	0.29%	0.18%
53	0.62%	0.75%	0.5%	0.21%	0.26%	0.16%
52	0.57%	0.68%	0.47%	0.19%	0.23%	0.14%
51	0.52%	0.61%	0.44%	0.17%	0.21%	0.13%
50	0.47%	0.55%	0.4%	0.16%	0.19%	0.12%
49	0.42%	0.48%	0.36%	0.14%	0.17%	0.11%
48	0.37%	0.43%	0.32%	0.12%	0.15%	0.1%
47	0.33%	0.37%	0.28%	0.11%	0.14%	0.08%
46	0.29%	0.33%	0.25%	0.1%	0.13%	0.08%
45	0.26%	0.29%	0.23%	0.09%	0.12%	0.07%
44	0.23%	0.26%	0.21%	0.08%	0.1%	0.07%
43	0.22%	0.23%	0.2%	0.08%	0.09%	0.06%
42	0.2%	0.21%	0.19%	0.07%	0.09%	0.05%
41	0.19%	0.19%	0.18%	0.06%	0.08%	0.04%
40	0.17%	0.18%	0.17%	0.05%	0.07%	0.04%
39	0.16%	0.16%	0.15%	0.05%	0.07%	0.03%
38	0.14%	0.15%	0.14%	0.05%	0.06%	0.03%
37	0.13%	0.14%	0.12%	0.04%	0.06%	0.03%
36	0.12%	0.13%	0.11%	0.04%	0.05%	0.03%
35	0.11%	0.13%	0.1%	0.04%	0.05%	0.03%
34	0.11%	0.12%	0.09%	0.03%	0.05%	0.02%
33	0.1%	0.12%	0.09%	0.03%	0.04%	0.02%
32	0.1%	0.12%	0.09%	0.03%	0.04%	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%	0.01%
26	0.08%	0.08%	0.07%	0.03%	0.04%	0.01%
25	0.07%	0.08%	0.07%	0.03%	0.04%	0.01%
24	0.07%	0.08%	0.07%	0.03%	0.04%	0.02%
23	0.08%	0.08%	0.07%	0.03%	0.04%	0.02%
22	0.08%	0.08%	0.07%	0.03%	0.04%	0.01%
21	0.08%	0.09%	0.08%	0.02%	0.04%	0.008%
20	0.09%	0.09%	0.09%	0.02%	0.04%	0.009%
19	0.09%	0.1%	0.09%	0.02%	0.03%	0.01%
18	0.1%	0.1%	0.09%	0.02%	0.03%	0.01%
17	0.09%	0.09%	0.09%	0.02%	0.02%	0.01%
16	0.09%	0.09%	0.09%	0.01%	0.02%	0.008%
15	0.08%	0.08%	0.08%	0.01%	0.01%	0.007%
14	0.07%	0.07%	0.07%	0.009%	0.01%	0.007%
13	0.06%	0.05%	0.06%	0.007%	0.008%	0.007%
12	0.05%	0.04%	0.05%	0.006%	0.006%	0.006%
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%	0.005%	0.005%	0.004%
8	0.05%	0.04%	0.05%	0.005%	0.005%	0.005%
7	0.06%	0.05%	0.06%	0.005%	0.005%	0.005%
6	0.07%	0.07%	0.07%	0.005%	0.005%	0.005%
5	0.08%	0.07%	0.08%	0.005%	0.006%	0.004%
4	0.07%	0.07%	0.08%	0.006%	0.007%	0.004%
3	0.06%	0.06%	0.07%	0.007%	0.008%	0.005%
2	0.07%	0.07%	0.07%	0.008%	0.008%	0.007%
1	0.18%	0.18%	0.17%	0.02%	0.02%	0.02%
0	1.53%	1.61%	1.44%	0.3%	0.32%	0.28%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.3% in Switzerland, 0.1% vs 0.03% at age 30, 1.12% vs 0.43% at 60, and 6.36% vs 3.26% at 80.

Death rate by age in Bangladesh vs Switzerland

Chart Table

Bangladesh

Male

Female

Switzerland

Male

Female

1x

Age	Death rate
	Bangladesh			Switzerland
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	811	392	1,166
99	504	274.2	753	1,351	871	1,775
98	698	414	1,006	1,820	1,226	2,350
97	924	588	1,288	2,344	1,656	2,970
96	1,175	796	1,587	2,881	2,120	3,585
95	1,440	1,030	1,887	3,402	2,594	4,160
94	1,718	1,287	2,186	3,893	3,081	4,667
93	1,995	1,557	2,471	4,317	3,568	5,050
92	2,264	1,828	2,735	4,634	4,025	5,255
91	2,514	2,095	2,969	4,836	4,388	5,312
90	2,738	2,353	3,155	4,910	4,590	5,271
89	2,932	2,596	3,297	4,875	4,659	5,136
88	3,093	2,815	3,394	4,748	4,648	4,894
87	3,217	3,003	3,447	4,529	4,563	4,549
86	3,301	3,148	3,465	4,245	4,408	4,146
85	3,347	3,247	3,451	3,949	4,181	3,771
84	3,355	3,299	3,412	3,638	3,899	3,407
83	3,331	3,310	3,348	3,312	3,604	3,047
82	3,279	3,289	3,261	2,988	3,315	2,686
81	3,205	3,246	3,153	2,697	3,059	2,351
80	3,114	3,189	3,027	2,424	2,802	2,060
79	3,015	3,128	2,889	2,175	2,539	1,829
78	2,903	3,054	2,742	1,958	2,296	1,639
77	2,781	2,966	2,589	1,770	2,088	1,469
76	2,649	2,862	2,434	1,613	1,919	1,321
75	2,510	2,740	2,281	1,482	1,780	1,195
74	2,374	2,605	2,137	1,364	1,658	1,083
73	2,238	2,458	1,998	1,260	1,546	986
72	2,099	2,301	1,868	1,160	1,430	899
71	1,961	2,138	1,748	1,061	1,310	818
70	1,826	1,974	1,638	962	1,187	736
69	1,697	1,817	1,540	877	1,088	663
68	1,574	1,674	1,445	819	1,026	607
67	1,463	1,551	1,351	770	968	568
66	1,364	1,452	1,255	715	888	539
65	1,278	1,382	1,154	657	812	500
64	1,206	1,339	1,052	598	752	439
63	1,143	1,310	953	540	684	391
62	1,085	1,285	861	490	619	356
61	1,028	1,253	781	449	566	326
60	968	1,203	714	409	512	301
59	906	1,138	659	366	450	278.7
58	841	1,059	615	328	400	254.4
57	778	975	577	299.8	371	227
56	718	892	545	277.6	348	205.6
55	664	814	516	257.1	318	194.8
54	615	743	490	233.1	284.3	180.9
53	570	679	464	205.5	252.9	157.2
52	526	618	437	182.7	227.9	136.6
51	482	560	406	166.4	207.7	124.2
50	437	503	371	153.6	188.4	118.4
49	391	448	334	139.6	168.2	110.6
48	347	396	296.7	122.7	148.4	96.4
47	307	349	263.5	107.9	132.7	82.6
46	272.6	308	235.8	99.2	123.3	74.6
45	244	272.8	214.7	92.2	114.1	69.7
44	221.8	243.8	200.3	83.3	101.5	64.7
43	204.5	219.6	190.2	74.9	91.8	57.5
42	190.1	199.2	181.9	67.9	86.6	48.7
41	177.1	181.7	173	59.7	75.9	43.1
40	164	166.5	161.7	53.2	67.1	39
39	149.7	153.1	146.8	49.9	65.1	34.3
38	135.6	141.5	130.4	47.4	62.9	31.4
37	123.1	132.1	115.1	43.3	54.8	31.6
36	112.9	124.8	102.4	39.3	47.2	31.1
35	105.6	119.7	93.2	36.1	44.5	27.4
34	101.3	116.7	87.9	34.4	44.5	23.9
33	99.2	115.2	85.6	33.9	44.3	23.1
32	98.3	114.1	85	32.3	41.8	22.5
31	97.4	112.5	84.9	29.2	37.4	20.6
30	95.3	109.1	84	28.2	35.8	20.2
29	90.9	103.1	81.1	27.8	36.1	19.1
28	85.2	95.6	76.8	26.1	36.1	15.4
27	79.3	88.1	72.3	25	36.6	12.6
26	74.5	81.9	68.5	26	38.4	12.5
25	71.7	78	66.4	27.5	39.6	14.5
24	71	76.7	66.2	28	38.3	17
23	73	78.2	68.4	27.1	37.2	16.4
22	76.9	81.7	72.4	25.4	38.5	11.5
21	81.9	86.3	77.8	24.5	39.8	8.4
20	87.2	90.9	83.5	24	38.2	8.96
19	91.1	93.9	88.3	23.5	34.5	11.8
18	92.8	94.5	91	21.7	29.1	13.8
17	91.4	92	90.8	17	22.5	11.2
16	86.6	86.2	87	12.5	16.6	8.23
15	78	77	79	10.1	12.7	7.44
14	66.5	65.4	67.8	8.64	9.9	7.31
13	54.3	53.3	55.5	7.36	7.93	6.76
12	44.1	43.2	45.1	6.05	6.11	5.98
11	37.7	36.8	38.7	5.04	4.6	5.51
10	34.4	33.5	35.3	4.54	4.09	5.02
9	36.2	35	37.5	4.56	4.64	4.48
8	44.9	42.8	47	4.69	4.68	4.71
7	56.8	53.6	60.1	4.74	4.51	4.98
6	67.8	63.8	72.1	4.82	5.05	4.58
5	74.1	69.7	78.7	5.21	6.16	4.2
4	71.7	67.9	75.7	5.93	7.31	4.48
3	61.4	58.9	63.9	6.53	7.74	5.26
2	70.1	68.9	71.4	7.66	8.22	7.07
1	172.9	175.4	170.2	22.5	22.6	22.4
0	1,530	1,613	1,443	303	322	283.2

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 90 in Switzerland. The median age of death is 79.7 in Bangladesh and 87.2 in Switzerland, 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 Switzerland more than their death rates.

Life expectancy in other countries

+ -

1x