Life Expectancy in Bangladesh vs Spain (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Spain

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Spain
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.1	102	102.1
99	101.2	100.9	101.3	101.3	101.1	101.3
98	100.3	99.9	100.4	100.4	100.3	100.5
97	99.4	99.1	99.6	99.6	99.4	99.7
96	98.6	98.2	98.8	98.9	98.6	99
95	97.8	97.4	98	98.1	97.8	98.2
94	97	96.6	97.2	97.4	97.1	97.5
93	96.3	95.9	96.5	96.7	96.3	96.8
92	95.5	95.1	95.8	96	95.6	96.2
91	94.8	94.4	95.1	95.4	94.9	95.6
90	94.1	93.6	94.4	94.7	94.2	95
89	93.4	92.9	93.8	94.1	93.6	94.4
88	92.8	92.2	93.1	93.6	93	93.9
87	92.1	91.6	92.5	93.1	92.4	93.4
86	91.5	90.9	91.9	92.6	91.8	93
85	90.9	90.3	91.3	92.1	91.3	92.6
84	90.3	89.6	90.8	91.7	90.8	92.2
83	89.7	89	90.2	91.2	90.3	91.9
82	89.2	88.5	89.7	90.9	89.9	91.5
81	88.6	87.9	89.2	90.5	89.5	91.2
80	88.1	87.4	88.7	90.2	89.1	91
79	87.6	86.8	88.3	89.9	88.7	90.7
78	87.1	86.3	87.8	89.6	88.3	90.5
77	86.7	85.8	87.4	89.3	88	90.3
76	86.2	85.4	87	89	87.7	90.1
75	85.8	84.9	86.6	88.8	87.4	89.9
74	85.4	84.5	86.2	88.6	87.1	89.8
73	85	84	85.9	88.3	86.8	89.6
72	84.6	83.6	85.5	88.1	86.5	89.5
71	84.2	83.2	85.2	87.9	86.2	89.4
70	83.9	82.9	84.9	87.7	86	89.2
69	83.6	82.5	84.6	87.5	85.7	89.1
68	83.3	82.2	84.3	87.4	85.5	89
67	83	81.9	84	87.2	85.3	88.9
66	82.7	81.6	83.8	87	85.1	88.8
65	82.4	81.3	83.5	86.9	84.8	88.7
64	82.2	81.1	83.3	86.7	84.6	88.6
63	81.9	80.8	83.1	86.5	84.4	88.5
62	81.6	80.5	82.9	86.4	84.3	88.4
61	81.4	80.2	82.7	86.3	84.1	88.3
60	81.2	79.9	82.5	86.1	83.9	88.2
59	80.9	79.6	82.3	86	83.7	88.1
58	80.7	79.4	82.2	85.9	83.6	88
57	80.5	79.1	82	85.8	83.4	88
56	80.3	78.9	81.8	85.7	83.3	87.9
55	80.1	78.7	81.7	85.6	83.2	87.8
54	80	78.5	81.5	85.5	83.1	87.7
53	79.8	78.3	81.4	85.4	82.9	87.7
52	79.7	78.1	81.3	85.3	82.8	87.6
51	79.5	78	81.1	85.2	82.7	87.6
50	79.4	77.8	81	85.1	82.7	87.5
49	79.2	77.7	80.9	85.1	82.6	87.5
48	79.1	77.6	80.8	85	82.5	87.4
47	79	77.4	80.7	85	82.5	87.4
46	78.9	77.3	80.6	84.9	82.4	87.4
45	78.8	77.3	80.5	84.9	82.4	87.3
44	78.8	77.2	80.5	84.8	82.3	87.3
43	78.7	77.1	80.4	84.8	82.3	87.3
42	78.6	77	80.3	84.8	82.2	87.2
41	78.5	77	80.2	84.7	82.2	87.2
40	78.5	76.9	80.2	84.7	82.2	87.2
39	78.4	76.8	80.1	84.7	82.1	87.2
38	78.4	76.8	80.1	84.7	82.1	87.2
37	78.3	76.7	80	84.7	82.1	87.1
36	78.3	76.7	80	84.6	82.1	87.1
35	78.2	76.6	79.9	84.6	82	87.1
34	78.2	76.6	79.9	84.6	82	87.1
33	78.1	76.5	79.8	84.6	82	87.1
32	78.1	76.5	79.8	84.6	82	87.1
31	78	76.4	79.8	84.5	81.9	87.1
30	78	76.4	79.7	84.5	81.9	87.1
29	77.9	76.3	79.7	84.5	81.9	87.1
28	77.9	76.3	79.6	84.5	81.9	87
27	77.8	76.2	79.6	84.5	81.9	87
26	77.8	76.2	79.6	84.5	81.9	87
25	77.8	76.1	79.5	84.5	81.8	87
24	77.7	76.1	79.5	84.4	81.8	87
23	77.7	76	79.4	84.4	81.8	87
22	77.6	76	79.4	84.4	81.8	87
21	77.6	75.9	79.3	84.4	81.8	87
20	77.5	75.9	79.3	84.4	81.7	87
19	77.5	75.8	79.2	84.4	81.7	87
18	77.4	75.8	79.2	84.4	81.7	87
17	77.4	75.7	79.1	84.4	81.7	87
16	77.3	75.7	79.1	84.4	81.7	87
15	77.3	75.6	79	84.4	81.7	86.9
14	77.2	75.6	79	84.3	81.7	86.9
13	77.2	75.6	78.9	84.3	81.7	86.9
12	77.2	75.5	78.9	84.3	81.7	86.9
11	77.1	75.5	78.9	84.3	81.7	86.9
10	77.1	75.5	78.9	84.3	81.7	86.9
9	77.1	75.5	78.8	84.3	81.7	86.9
8	77.1	75.4	78.8	84.3	81.7	86.9
7	77	75.4	78.8	84.3	81.7	86.9
6	77	75.3	78.7	84.3	81.6	86.9
5	76.9	75.3	78.6	84.3	81.6	86.9
4	76.9	75.2	78.6	84.3	81.6	86.9
3	76.8	75.2	78.5	84.3	81.6	86.9
2	76.8	75.2	78.5	84.3	81.6	86.9
1	76.6	75	78.3	84.3	81.6	86.9
0	75.5	73.8	77.2	84.1	81.4	86.7

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 84.5 in Spain, rising to 82.4 and 86.9 at 65, and to 88.1 and 90.2 at 80 — higher than the 75.5 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Spain

Male

Female

1x

Age	Survival probability
	Bangladesh			Spain
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	3.04%	1.56%	4.37%
99	1.37%	0.63%	2.15%	4.48%	2.4%	6.38%
98	2.06%	1.05%	3.16%	6.37%	3.54%	8.97%
97	2.99%	1.63%	4.44%	8.74%	5.06%	12.1%
96	4.16%	2.43%	6.03%	11.6%	6.99%	15.9%
95	5.6%	3.46%	7.92%	14.9%	9.35%	20.2%
94	7.32%	4.75%	10.1%	18.7%	12.2%	24.9%
93	9.32%	6.3%	12.6%	22.9%	15.4%	29.9%
92	11.6%	8.13%	15.3%	27.3%	19%	35.2%
91	14.1%	10.2%	18.3%	31.9%	22.8%	40.5%
90	16.8%	12.6%	21.4%	36.6%	26.9%	45.8%
89	19.8%	15.2%	24.7%	41.2%	31.2%	51%
88	22.9%	18%	28.1%	45.8%	35.4%	55.8%
87	26.1%	21%	31.6%	50.2%	39.7%	60.3%
86	29.4%	24.1%	35%	54.3%	43.8%	64.5%
85	32.7%	27.4%	38.5%	58.1%	47.8%	68.2%
84	36.1%	30.7%	41.9%	61.6%	51.5%	71.6%
83	39.4%	34%	45.2%	64.9%	55.1%	74.5%
82	42.7%	37.3%	48.5%	67.9%	58.4%	77.2%
81	45.9%	40.5%	51.7%	70.6%	61.6%	79.5%
80	49%	43.7%	54.7%	73%	64.4%	81.5%
79	52%	46.8%	57.6%	75.2%	67.1%	83.3%
78	54.9%	49.9%	60.3%	77.2%	69.6%	84.8%
77	57.7%	52.9%	62.9%	79%	71.8%	86.2%
76	60.4%	55.7%	65.3%	80.7%	73.9%	87.4%
75	62.9%	58.5%	67.6%	82.1%	75.8%	88.4%
74	65.2%	61.1%	69.8%	83.5%	77.6%	89.4%
73	67.5%	63.5%	71.8%	84.7%	79.3%	90.2%
72	69.6%	65.8%	73.6%	85.9%	80.8%	90.9%
71	71.5%	68%	75.4%	87%	82.3%	91.6%
70	73.4%	69.9%	77%	87.9%	83.6%	92.2%
69	75.1%	71.8%	78.6%	88.8%	84.9%	92.8%
68	76.6%	73.4%	80%	89.7%	86.1%	93.3%
67	78.1%	75%	81.4%	90.5%	87.2%	93.8%
66	79.5%	76.4%	82.6%	91.2%	88.2%	94.3%
65	80.7%	77.8%	83.8%	91.9%	89.2%	94.7%
64	81.9%	79.2%	84.8%	92.6%	90.1%	95.1%
63	83.1%	80.5%	85.8%	93.2%	90.9%	95.5%
62	84.2%	81.8%	86.6%	93.7%	91.7%	95.8%
61	85.2%	83%	87.4%	94.3%	92.4%	96.1%
60	86.2%	84.2%	88.1%	94.7%	93.1%	96.4%
59	87.1%	85.4%	88.8%	95.2%	93.7%	96.7%
58	87.9%	86.4%	89.4%	95.6%	94.3%	97%
57	88.7%	87.4%	90%	96%	94.8%	97.3%
56	89.4%	88.3%	90.5%	96.4%	95.3%	97.5%
55	90.1%	89.1%	91%	96.7%	95.7%	97.7%
54	90.7%	89.8%	91.5%	97%	96.1%	97.9%
53	91.3%	90.5%	92%	97.3%	96.5%	98.1%
52	91.8%	91.1%	92.4%	97.5%	96.8%	98.2%
51	92.3%	91.7%	92.8%	97.7%	97.1%	98.4%
50	92.7%	92.2%	93.2%	97.9%	97.4%	98.5%
49	93.1%	92.6%	93.5%	98.1%	97.6%	98.6%
48	93.4%	93%	93.8%	98.3%	97.8%	98.7%
47	93.8%	93.4%	94.1%	98.4%	98%	98.8%
46	94%	93.7%	94.3%	98.5%	98.1%	98.9%
45	94.3%	94%	94.5%	98.6%	98.3%	99%
44	94.5%	94.2%	94.7%	98.7%	98.4%	99.1%
43	94.7%	94.4%	94.9%	98.8%	98.5%	99.1%
42	94.9%	94.6%	95.1%	98.9%	98.6%	99.2%
41	95.1%	94.8%	95.3%	98.9%	98.7%	99.2%
40	95.2%	95%	95.5%	99%	98.7%	99.3%
39	95.4%	95.1%	95.6%	99.1%	98.8%	99.3%
38	95.5%	95.3%	95.7%	99.1%	98.9%	99.4%
37	95.6%	95.4%	95.8%	99.1%	98.9%	99.4%
36	95.7%	95.5%	95.9%	99.2%	99%	99.4%
35	95.9%	95.6%	96%	99.2%	99%	99.4%
34	96%	95.8%	96.1%	99.3%	99.1%	99.5%
33	96.1%	95.9%	96.2%	99.3%	99.1%	99.5%
32	96.2%	96%	96.3%	99.3%	99.2%	99.5%
31	96.3%	96.1%	96.4%	99.4%	99.2%	99.5%
30	96.3%	96.2%	96.5%	99.4%	99.2%	99.5%
29	96.4%	96.3%	96.5%	99.4%	99.3%	99.5%
28	96.5%	96.4%	96.6%	99.4%	99.3%	99.6%
27	96.6%	96.5%	96.7%	99.5%	99.3%	99.6%
26	96.7%	96.6%	96.8%	99.5%	99.4%	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%	99.5%	99.6%
22	97%	96.9%	97%	99.6%	99.5%	99.6%
21	97%	97%	97.1%	99.6%	99.5%	99.7%
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%	99.6%	99.6%	99.7%
17	97.4%	97.4%	97.5%	99.7%	99.6%	99.7%
16	97.5%	97.4%	97.6%	99.7%	99.6%	99.7%
15	97.6%	97.5%	97.6%	99.7%	99.6%	99.7%
14	97.6%	97.6%	97.7%	99.7%	99.6%	99.7%
13	97.7%	97.6%	97.8%	99.7%	99.7%	99.7%
12	97.7%	97.7%	97.8%	99.7%	99.7%	99.7%
11	97.8%	97.7%	97.8%	99.7%	99.7%	99.7%
10	97.8%	97.8%	97.9%	99.7%	99.7%	99.7%
9	97.9%	97.8%	97.9%	99.7%	99.7%	99.7%
8	97.9%	97.8%	98%	99.7%	99.7%	99.8%
7	98%	97.9%	98%	99.7%	99.7%	99.8%
6	98%	97.9%	98.1%	99.7%	99.7%	99.8%
5	98.1%	98%	98.2%	99.7%	99.7%	99.8%
4	98.2%	98.1%	98.3%	99.7%	99.7%	99.8%
3	98.2%	98.1%	98.3%	99.7%	99.7%	99.8%
2	98.3%	98.2%	98.4%	99.8%	99.7%	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 94.7% in Spain are expected to live past 60, 73.4% and 87.9% past 70, 49% and 73% past 80, and only 16.8% and 36.6% 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

Spain

Male

Female

1x

Age	Probability of dying
	Bangladesh			Spain
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	34.7%	37.1%	34%
99	36.9%	43.4%	35%	32.3%	34.8%	31.5%
98	33.8%	39.5%	31.9%	29.7%	32.4%	28.8%
97	30.9%	36%	29%	27.1%	29.9%	26.2%
96	28.2%	32.7%	26.3%	24.7%	27.6%	23.6%
95	25.7%	29.8%	23.8%	22.3%	25.3%	21.2%
94	23.5%	27.1%	21.6%	20.2%	23.1%	18.9%
93	21.4%	24.7%	19.6%	18.1%	20.9%	16.8%
92	19.5%	22.5%	17.9%	16.2%	18.9%	14.9%
91	17.8%	20.5%	16.2%	14.5%	17%	13.2%
90	16.3%	18.7%	14.7%	12.8%	15.2%	11.6%
89	14.8%	17.1%	13.3%	11.3%	13.6%	10.1%
88	13.5%	15.6%	12.1%	9.94%	12%	8.71%
87	12.3%	14.3%	10.9%	8.69%	10.7%	7.5%
86	11.2%	13%	9.89%	7.58%	9.41%	6.42%
85	10.2%	11.9%	8.97%	6.61%	8.3%	5.49%
84	9.3%	10.8%	8.14%	5.73%	7.29%	4.65%
83	8.45%	9.74%	7.4%	5.03%	6.49%	4.01%
82	7.68%	8.82%	6.72%	4.36%	5.69%	3.39%
81	6.98%	8.01%	6.1%	3.87%	5.12%	2.94%
80	6.36%	7.29%	5.53%	3.32%	4.46%	2.46%
79	5.8%	6.68%	5.02%	2.95%	4%	2.13%
78	5.29%	6.12%	4.54%	2.56%	3.51%	1.81%
77	4.82%	5.61%	4.11%	2.28%	3.16%	1.58%
76	4.39%	5.14%	3.73%	2.02%	2.82%	1.37%
75	3.99%	4.69%	3.37%	1.81%	2.54%	1.19%
74	3.64%	4.27%	3.06%	1.62%	2.3%	1.05%
73	3.32%	3.87%	2.78%	1.47%	2.1%	0.93%
72	3.02%	3.49%	2.54%	1.32%	1.9%	0.82%
71	2.74%	3.15%	2.32%	1.23%	1.77%	0.75%
70	2.49%	2.82%	2.13%	1.11%	1.6%	0.66%
69	2.26%	2.53%	1.96%	1.03%	1.49%	0.61%
68	2.05%	2.28%	1.81%	0.94%	1.37%	0.56%
67	1.87%	2.07%	1.66%	0.87%	1.26%	0.52%
66	1.72%	1.9%	1.52%	0.81%	1.17%	0.48%
65	1.58%	1.78%	1.38%	0.75%	1.08%	0.44%
64	1.47%	1.69%	1.24%	0.7%	1%	0.42%
63	1.38%	1.63%	1.11%	0.65%	0.93%	0.39%
62	1.29%	1.57%	0.99%	0.6%	0.85%	0.36%
61	1.21%	1.51%	0.89%	0.57%	0.8%	0.35%
60	1.12%	1.43%	0.81%	0.52%	0.72%	0.32%
59	1.04%	1.33%	0.74%	0.48%	0.67%	0.3%
58	0.96%	1.23%	0.69%	0.44%	0.61%	0.28%
57	0.88%	1.12%	0.64%	0.41%	0.56%	0.26%
56	0.8%	1.01%	0.6%	0.37%	0.51%	0.24%
55	0.74%	0.91%	0.57%	0.34%	0.46%	0.22%
54	0.68%	0.83%	0.54%	0.31%	0.42%	0.2%
53	0.62%	0.75%	0.5%	0.28%	0.38%	0.18%
52	0.57%	0.68%	0.47%	0.25%	0.34%	0.17%
51	0.52%	0.61%	0.44%	0.23%	0.3%	0.15%
50	0.47%	0.55%	0.4%	0.2%	0.26%	0.14%
49	0.42%	0.48%	0.36%	0.18%	0.23%	0.12%
48	0.37%	0.43%	0.32%	0.16%	0.2%	0.11%
47	0.33%	0.37%	0.28%	0.14%	0.18%	0.1%
46	0.29%	0.33%	0.25%	0.12%	0.15%	0.09%
45	0.26%	0.29%	0.23%	0.1%	0.13%	0.08%
44	0.23%	0.26%	0.21%	0.09%	0.12%	0.07%
43	0.22%	0.23%	0.2%	0.08%	0.1%	0.06%
42	0.2%	0.21%	0.19%	0.07%	0.09%	0.05%
41	0.19%	0.19%	0.18%	0.07%	0.08%	0.05%
40	0.17%	0.18%	0.17%	0.06%	0.08%	0.04%
39	0.16%	0.16%	0.15%	0.05%	0.07%	0.04%
38	0.14%	0.15%	0.14%	0.05%	0.06%	0.04%
37	0.13%	0.14%	0.12%	0.05%	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%	0.04%	0.05%	0.02%
33	0.1%	0.12%	0.09%	0.03%	0.05%	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%	0.01%
27	0.08%	0.09%	0.07%	0.02%	0.03%	0.01%
26	0.08%	0.08%	0.07%	0.02%	0.03%	0.01%
25	0.07%	0.08%	0.07%	0.02%	0.03%	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%	0.02%	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%	0.009%
16	0.09%	0.09%	0.09%	0.01%	0.01%	0.009%
15	0.08%	0.08%	0.08%	0.01%	0.01%	0.008%
14	0.07%	0.07%	0.07%	0.008%	0.01%	0.007%
13	0.06%	0.05%	0.06%	0.007%	0.008%	0.006%
12	0.05%	0.04%	0.05%	0.006%	0.007%	0.006%
11	0.04%	0.04%	0.04%	0.006%	0.006%	0.005%
10	0.04%	0.03%	0.04%	0.006%	0.006%	0.005%
9	0.04%	0.04%	0.04%	0.005%	0.006%	0.005%
8	0.05%	0.04%	0.05%	0.005%	0.006%	0.004%
7	0.06%	0.05%	0.06%	0.005%	0.006%	0.004%
6	0.07%	0.07%	0.07%	0.005%	0.006%	0.004%
5	0.08%	0.07%	0.08%	0.005%	0.006%	0.004%
4	0.07%	0.07%	0.08%	0.006%	0.007%	0.005%
3	0.06%	0.06%	0.07%	0.008%	0.009%	0.007%
2	0.07%	0.07%	0.07%	0.01%	0.02%	0.01%
1	0.18%	0.18%	0.17%	0.03%	0.04%	0.03%
0	1.53%	1.61%	1.44%	0.21%	0.23%	0.18%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.21% in Spain, 0.1% vs 0.03% at age 30, 1.12% vs 0.52% at 60, and 6.36% vs 3.32% at 80.

Death rate by age in Bangladesh vs Spain

Chart Table

Bangladesh

Male

Female

Spain

Male

Female

1x

Age	Death rate
	Bangladesh			Spain
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	954	405	1,452
99	504	274.2	753	1,445	834	2,012
98	698	414	1,006	1,890	1,147	2,585
97	924	588	1,288	2,372	1,515	3,180
96	1,175	796	1,587	2,864	1,927	3,756
95	1,440	1,030	1,887	3,338	2,363	4,274
94	1,718	1,287	2,186	3,772	2,802	4,708
93	1,995	1,557	2,471	4,140	3,218	5,040
92	2,264	1,828	2,735	4,420	3,583	5,252
91	2,514	2,095	2,969	4,618	3,889	5,352
90	2,738	2,353	3,155	4,687	4,101	5,297
89	2,932	2,596	3,297	4,665	4,232	5,134
88	3,093	2,815	3,394	4,551	4,267	4,861
87	3,217	3,003	3,447	4,358	4,226	4,523
86	3,301	3,148	3,465	4,113	4,120	4,142
85	3,347	3,247	3,451	3,842	3,965	3,745
84	3,355	3,299	3,412	3,531	3,752	3,330
83	3,331	3,310	3,348	3,268	3,573	2,987
82	3,279	3,289	3,261	2,958	3,326	2,615
81	3,205	3,246	3,153	2,732	3,151	2,338
80	3,114	3,189	3,027	2,425	2,872	2,005
79	3,015	3,128	2,889	2,219	2,684	1,777
78	2,903	3,054	2,742	1,979	2,444	1,535
77	2,781	2,966	2,589	1,804	2,269	1,360
76	2,649	2,862	2,434	1,633	2,087	1,195
75	2,510	2,740	2,281	1,485	1,926	1,055
74	2,374	2,605	2,137	1,355	1,783	935
73	2,238	2,458	1,998	1,246	1,661	836
72	2,099	2,301	1,868	1,138	1,539	746
71	1,961	2,138	1,748	1,067	1,459	687
70	1,826	1,974	1,638	972	1,340	613
69	1,697	1,817	1,540	916	1,269	570
68	1,574	1,674	1,445	847	1,177	521
67	1,463	1,551	1,351	790	1,102	485
66	1,364	1,452	1,255	739	1,034	453
65	1,278	1,382	1,154	688	961	421
64	1,206	1,339	1,052	647	901	396
63	1,143	1,310	953	607	842	372
62	1,085	1,285	861	565	782	349
61	1,028	1,253	781	534	736	332
60	968	1,203	714	491	674	307
59	906	1,138	659	458	625	289.5
58	841	1,059	615	421	572	269
57	778	975	577	390	528	250.7
56	718	892	545	358	483	230.6
55	664	814	516	329	442	212.3
54	615	743	490	298.9	401	194.1
53	570	679	464	272.1	362	178.5
52	526	618	437	245.3	324	162.7
51	482	560	406	222.4	292.3	149.5
50	437	503	371	196.5	256.8	133.7
49	391	448	334	175.5	227.8	121.1
48	347	396	296.7	154.1	198.6	107.8
47	307	349	263.5	135.6	173.5	96.4
46	272.6	308	235.8	118.3	150.4	85.4
45	244	272.8	214.7	103.3	130.4	75.5
44	221.8	243.8	200.3	91.2	114.7	67.2
43	204.5	219.6	190.2	81.1	101.8	60
42	190.1	199.2	181.9	72	90.6	53.3
41	177.1	181.7	173	65.6	82.6	48.4
40	164	166.5	161.7	58.6	74.1	43
39	149.7	153.1	146.8	53.6	68	39.1
38	135.6	141.5	130.4	48.6	62	35
37	123.1	132.1	115.1	44.6	57.5	31.6
36	112.9	124.8	102.4	41	53.4	28.3
35	105.6	119.7	93.2	37.9	50	25.4
34	101.3	116.7	87.9	35.2	47.2	22.9
33	99.2	115.2	85.6	32.9	44.7	20.7
32	98.3	114.1	85	31	42.6	19
31	97.4	112.5	84.9	29.7	41.1	18
30	95.3	109.1	84	28.2	39.2	16.8
29	90.9	103.1	81.1	27	37.7	15.9
28	85.2	95.6	76.8	25.7	36.1	14.8
27	79.3	88.1	72.3	24.5	34.6	14
26	74.5	81.9	68.5	23.6	33.2	13.5
25	71.7	78	66.4	22.8	31.8	13.1
24	71	76.7	66.2	21.9	30.6	12.8
23	73	78.2	68.4	21.1	29.4	12.4
22	76.9	81.7	72.4	20.3	28.1	12.1
21	81.9	86.3	77.8	19.6	26.9	11.8
20	87.2	90.9	83.5	18.6	25.4	11.4
19	91.1	93.9	88.3	17.4	23.6	10.9
18	92.8	94.5	91	15.7	20.9	10.2
17	91.4	92	90.8	13.8	17.9	9.45
16	86.6	86.2	87	11.8	14.7	8.68
15	78	77	79	9.91	11.8	7.93
14	66.5	65.4	67.8	8.32	9.47	7.09
13	54.3	53.3	55.5	7.14	7.98	6.26
12	44.1	43.2	45.1	6.28	6.98	5.52
11	37.7	36.8	38.7	5.81	6.47	5.11
10	34.4	33.5	35.3	5.49	6.15	4.8
9	36.2	35	37.5	5.31	6	4.58
8	44.9	42.8	47	5.1	5.84	4.32
7	56.8	53.6	60.1	4.94	5.71	4.13
6	67.8	63.8	72.1	4.94	5.71	4.14
5	74.1	69.7	78.7	5.2	5.95	4.4
4	71.7	67.9	75.7	5.88	6.71	5.01
3	61.4	58.9	63.9	7.97	9.04	6.83
2	70.1	68.9	71.4	14.1	15.9	12.2
1	172.9	175.4	170.2	33.6	37.5	29.3
0	1,530	1,613	1,443	207	229.1	183.5

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 Spain. The median age of death is 79.7 in Bangladesh and 87 in Spain, 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 Spain more than their death rates.

Life expectancy in other countries

+ -

1x