Life Expectancy in Bangladesh vs Portugal (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Portugal

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Portugal
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.2	102.1	102.3
99	101.2	100.9	101.3	101.4	101.2	101.4
98	100.3	99.9	100.4	100.6	100.4	100.6
97	99.4	99.1	99.6	99.7	99.5	99.8
96	98.6	98.2	98.8	99	98.7	99
95	97.8	97.4	98	98.2	97.9	98.3
94	97	96.6	97.2	97.4	97.1	97.6
93	96.3	95.9	96.5	96.7	96.4	96.9
92	95.5	95.1	95.8	96	95.6	96.2
91	94.8	94.4	95.1	95.3	94.9	95.5
90	94.1	93.6	94.4	94.7	94.2	94.9
89	93.4	92.9	93.8	94.1	93.6	94.3
88	92.8	92.2	93.1	93.5	92.9	93.8
87	92.1	91.6	92.5	92.9	92.3	93.2
86	91.5	90.9	91.9	92.4	91.7	92.7
85	90.9	90.3	91.3	91.9	91.2	92.3
84	90.3	89.6	90.8	91.4	90.7	91.8
83	89.7	89	90.2	90.9	90.2	91.4
82	89.2	88.5	89.7	90.5	89.7	91.1
81	88.6	87.9	89.2	90.1	89.2	90.7
80	88.1	87.4	88.7	89.7	88.8	90.4
79	87.6	86.8	88.3	89.4	88.4	90.1
78	87.1	86.3	87.8	89.1	88	89.8
77	86.7	85.8	87.4	88.8	87.7	89.6
76	86.2	85.4	87	88.5	87.3	89.4
75	85.8	84.9	86.6	88.2	87	89.2
74	85.4	84.5	86.2	88	86.7	89
73	85	84	85.9	87.7	86.4	88.8
72	84.6	83.6	85.5	87.5	86.1	88.6
71	84.2	83.2	85.2	87.3	85.9	88.5
70	83.9	82.9	84.9	87.1	85.6	88.3
69	83.6	82.5	84.6	86.9	85.3	88.2
68	83.3	82.2	84.3	86.7	85.1	88.1
67	83	81.9	84	86.5	84.9	87.9
66	82.7	81.6	83.8	86.4	84.6	87.8
65	82.4	81.3	83.5	86.2	84.4	87.7
64	82.2	81.1	83.3	86	84.2	87.6
63	81.9	80.8	83.1	85.9	84	87.5
62	81.6	80.5	82.9	85.7	83.8	87.4
61	81.4	80.2	82.7	85.6	83.5	87.3
60	81.2	79.9	82.5	85.4	83.3	87.2
59	80.9	79.6	82.3	85.3	83.1	87.1
58	80.7	79.4	82.2	85.1	83	87
57	80.5	79.1	82	85	82.8	87
56	80.3	78.9	81.8	84.9	82.6	86.9
55	80.1	78.7	81.7	84.8	82.5	86.8
54	80	78.5	81.5	84.6	82.3	86.7
53	79.8	78.3	81.4	84.5	82.2	86.7
52	79.7	78.1	81.3	84.4	82	86.6
51	79.5	78	81.1	84.3	81.9	86.5
50	79.4	77.8	81	84.2	81.8	86.5
49	79.2	77.7	80.9	84.2	81.7	86.4
48	79.1	77.6	80.8	84.1	81.6	86.4
47	79	77.4	80.7	84	81.5	86.3
46	78.9	77.3	80.6	83.9	81.4	86.3
45	78.8	77.3	80.5	83.9	81.3	86.2
44	78.8	77.2	80.5	83.8	81.2	86.2
43	78.7	77.1	80.4	83.8	81.2	86.2
42	78.6	77	80.3	83.7	81.1	86.1
41	78.5	77	80.2	83.7	81.1	86.1
40	78.5	76.9	80.2	83.6	81	86.1
39	78.4	76.8	80.1	83.6	81	86
38	78.4	76.8	80.1	83.6	80.9	86
37	78.3	76.7	80	83.5	80.9	86
36	78.3	76.7	80	83.5	80.9	86
35	78.2	76.6	79.9	83.5	80.8	86
34	78.2	76.6	79.9	83.5	80.8	86
33	78.1	76.5	79.8	83.4	80.8	85.9
32	78.1	76.5	79.8	83.4	80.7	85.9
31	78	76.4	79.8	83.4	80.7	85.9
30	78	76.4	79.7	83.4	80.7	85.9
29	77.9	76.3	79.7	83.4	80.7	85.9
28	77.9	76.3	79.6	83.3	80.6	85.9
27	77.8	76.2	79.6	83.3	80.6	85.9
26	77.8	76.2	79.6	83.3	80.6	85.9
25	77.8	76.1	79.5	83.3	80.6	85.8
24	77.7	76.1	79.5	83.3	80.5	85.8
23	77.7	76	79.4	83.3	80.5	85.8
22	77.6	76	79.4	83.2	80.5	85.8
21	77.6	75.9	79.3	83.2	80.5	85.8
20	77.5	75.9	79.3	83.2	80.5	85.8
19	77.5	75.8	79.2	83.2	80.4	85.8
18	77.4	75.8	79.2	83.2	80.4	85.8
17	77.4	75.7	79.1	83.2	80.4	85.8
16	77.3	75.7	79.1	83.2	80.4	85.8
15	77.3	75.6	79	83.2	80.4	85.8
14	77.2	75.6	79	83.2	80.4	85.8
13	77.2	75.6	78.9	83.2	80.4	85.7
12	77.2	75.5	78.9	83.2	80.4	85.7
11	77.1	75.5	78.9	83.1	80.4	85.7
10	77.1	75.5	78.9	83.1	80.4	85.7
9	77.1	75.5	78.8	83.1	80.4	85.7
8	77.1	75.4	78.8	83.1	80.4	85.7
7	77	75.4	78.8	83.1	80.4	85.7
6	77	75.3	78.7	83.1	80.4	85.7
5	76.9	75.3	78.6	83.1	80.3	85.7
4	76.9	75.2	78.6	83.1	80.3	85.7
3	76.8	75.2	78.5	83.1	80.3	85.7
2	76.8	75.2	78.5	83.1	80.3	85.7
1	76.6	75	78.3	83.1	80.3	85.7
0	75.5	73.8	77.2	82.9	80.1	85.5

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 83.4 in Portugal, rising to 82.4 and 86.2 at 65, and to 88.1 and 89.7 at 80 — higher than the 75.5 and 82.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Portugal

Male

Female

1x

Age	Survival probability
	Bangladesh			Portugal
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	2.77%	1.47%	3.88%
99	1.37%	0.63%	2.15%	4.01%	2.22%	5.56%
98	2.06%	1.05%	3.16%	5.62%	3.24%	7.71%
97	2.99%	1.63%	4.44%	7.65%	4.58%	10.3%
96	4.16%	2.43%	6.03%	10.1%	6.28%	13.5%
95	5.6%	3.46%	7.92%	13%	8.36%	17.1%
94	7.32%	4.75%	10.1%	16.2%	10.8%	21.1%
93	9.32%	6.3%	12.6%	19.9%	13.7%	25.5%
92	11.6%	8.13%	15.3%	23.8%	16.9%	30.2%
91	14.1%	10.2%	18.3%	28.1%	20.4%	35.1%
90	16.8%	12.6%	21.4%	32.4%	24.1%	40.1%
89	19.8%	15.2%	24.7%	36.8%	28.1%	45%
88	22.9%	18%	28.1%	41.2%	32.1%	49.8%
87	26.1%	21%	31.6%	45.5%	36.1%	54.4%
86	29.4%	24.1%	35%	49.7%	40.1%	58.8%
85	32.7%	27.4%	38.5%	53.7%	44.1%	62.8%
84	36.1%	30.7%	41.9%	57.5%	47.9%	66.5%
83	39.4%	34%	45.2%	61%	51.5%	69.9%
82	42.7%	37.3%	48.5%	64.2%	54.9%	73%
81	45.9%	40.5%	51.7%	67.2%	58.1%	75.7%
80	49%	43.7%	54.7%	69.8%	61.1%	78.1%
79	52%	46.8%	57.6%	72.3%	63.8%	80.3%
78	54.9%	49.9%	60.3%	74.4%	66.3%	82.1%
77	57.7%	52.9%	62.9%	76.4%	68.6%	83.8%
76	60.4%	55.7%	65.3%	78.2%	70.7%	85.2%
75	62.9%	58.5%	67.6%	79.8%	72.7%	86.5%
74	65.2%	61.1%	69.8%	81.3%	74.5%	87.7%
73	67.5%	63.5%	71.8%	82.7%	76.2%	88.7%
72	69.6%	65.8%	73.6%	83.9%	77.8%	89.6%
71	71.5%	68%	75.4%	85.1%	79.3%	90.4%
70	73.4%	69.9%	77%	86.1%	80.7%	91.2%
69	75.1%	71.8%	78.6%	87.1%	82%	91.8%
68	76.6%	73.4%	80%	88%	83.2%	92.4%
67	78.1%	75%	81.4%	88.8%	84.3%	93%
66	79.5%	76.4%	82.6%	89.6%	85.4%	93.5%
65	80.7%	77.8%	83.8%	90.3%	86.4%	94%
64	81.9%	79.2%	84.8%	91%	87.4%	94.4%
63	83.1%	80.5%	85.8%	91.7%	88.3%	94.8%
62	84.2%	81.8%	86.6%	92.3%	89.2%	95.2%
61	85.2%	83%	87.4%	92.9%	90.1%	95.5%
60	86.2%	84.2%	88.1%	93.4%	90.9%	95.9%
59	87.1%	85.4%	88.8%	93.9%	91.6%	96.2%
58	87.9%	86.4%	89.4%	94.4%	92.3%	96.4%
57	88.7%	87.4%	90%	94.9%	92.9%	96.7%
56	89.4%	88.3%	90.5%	95.3%	93.5%	96.9%
55	90.1%	89.1%	91%	95.7%	94.1%	97.2%
54	90.7%	89.8%	91.5%	96%	94.6%	97.4%
53	91.3%	90.5%	92%	96.4%	95.1%	97.6%
52	91.8%	91.1%	92.4%	96.7%	95.6%	97.8%
51	92.3%	91.7%	92.8%	97%	96%	98%
50	92.7%	92.2%	93.2%	97.2%	96.3%	98.1%
49	93.1%	92.6%	93.5%	97.5%	96.7%	98.3%
48	93.4%	93%	93.8%	97.7%	97%	98.4%
47	93.8%	93.4%	94.1%	97.9%	97.2%	98.5%
46	94%	93.7%	94.3%	98%	97.5%	98.6%
45	94.3%	94%	94.5%	98.2%	97.7%	98.7%
44	94.5%	94.2%	94.7%	98.3%	97.9%	98.8%
43	94.7%	94.4%	94.9%	98.5%	98%	98.9%
42	94.9%	94.6%	95.1%	98.6%	98.2%	99%
41	95.1%	94.8%	95.3%	98.7%	98.3%	99.1%
40	95.2%	95%	95.5%	98.8%	98.4%	99.1%
39	95.4%	95.1%	95.6%	98.8%	98.5%	99.2%
38	95.5%	95.3%	95.7%	98.9%	98.6%	99.2%
37	95.6%	95.4%	95.8%	99%	98.7%	99.3%
36	95.7%	95.5%	95.9%	99%	98.8%	99.3%
35	95.9%	95.6%	96%	99.1%	98.8%	99.3%
34	96%	95.8%	96.1%	99.1%	98.9%	99.4%
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%	99.3%	99.1%	99.5%
30	96.3%	96.2%	96.5%	99.3%	99.1%	99.5%
29	96.4%	96.3%	96.5%	99.3%	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%	99.3%	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%	99.6%	99.7%
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%	99.7%	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%	99.6%	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%	99.7%
7	98%	97.9%	98%	99.7%	99.7%	99.7%
6	98%	97.9%	98.1%	99.7%	99.7%	99.7%
5	98.1%	98%	98.2%	99.7%	99.7%	99.7%
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 93.4% in Portugal are expected to live past 60, 73.4% and 86.1% past 70, 49% and 69.8% past 80, and only 16.8% and 32.4% 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

Portugal

Male

Female

1x

Age	Probability of dying
	Bangladesh			Portugal
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	33.1%	35.9%	32.5%
99	36.9%	43.4%	35%	31%	33.7%	30.2%
98	33.8%	39.5%	31.9%	28.7%	31.4%	27.9%
97	30.9%	36%	29%	26.4%	29.2%	25.5%
96	28.2%	32.7%	26.3%	24.3%	27%	23.3%
95	25.7%	29.8%	23.8%	22.2%	24.9%	21.1%
94	23.5%	27.1%	21.6%	20.2%	22.8%	19.1%
93	21.4%	24.7%	19.6%	18.3%	20.8%	17.2%
92	19.5%	22.5%	17.9%	16.6%	19%	15.5%
91	17.8%	20.5%	16.2%	15.1%	17.3%	14%
90	16.3%	18.7%	14.7%	13.4%	15.5%	12.3%
89	14.8%	17.1%	13.3%	12%	14%	10.9%
88	13.5%	15.6%	12.1%	10.6%	12.5%	9.61%
87	12.3%	14.3%	10.9%	9.48%	11.2%	8.49%
86	11.2%	13%	9.89%	8.42%	10%	7.43%
85	10.2%	11.9%	8.97%	7.44%	8.92%	6.47%
84	9.3%	10.8%	8.14%	6.55%	7.94%	5.61%
83	8.45%	9.74%	7.4%	5.75%	7.06%	4.86%
82	7.68%	8.82%	6.72%	5.02%	6.22%	4.18%
81	6.98%	8.01%	6.1%	4.42%	5.53%	3.62%
80	6.36%	7.29%	5.53%	3.82%	4.82%	3.08%
79	5.8%	6.68%	5.02%	3.34%	4.26%	2.65%
78	5.29%	6.12%	4.54%	2.92%	3.76%	2.26%
77	4.82%	5.61%	4.11%	2.59%	3.38%	1.97%
76	4.39%	5.14%	3.73%	2.3%	3.02%	1.7%
75	3.99%	4.69%	3.37%	2.04%	2.71%	1.49%
74	3.64%	4.27%	3.06%	1.82%	2.46%	1.31%
73	3.32%	3.87%	2.78%	1.64%	2.23%	1.15%
72	3.02%	3.49%	2.54%	1.48%	2.03%	1.02%
71	2.74%	3.15%	2.32%	1.35%	1.88%	0.92%
70	2.49%	2.82%	2.13%	1.21%	1.7%	0.81%
69	2.26%	2.53%	1.96%	1.12%	1.58%	0.73%
68	2.05%	2.28%	1.81%	1.02%	1.45%	0.65%
67	1.87%	2.07%	1.66%	0.94%	1.34%	0.59%
66	1.72%	1.9%	1.52%	0.87%	1.25%	0.54%
65	1.58%	1.78%	1.38%	0.81%	1.17%	0.49%
64	1.47%	1.69%	1.24%	0.76%	1.11%	0.46%
63	1.38%	1.63%	1.11%	0.72%	1.06%	0.43%
62	1.29%	1.57%	0.99%	0.68%	1%	0.4%
61	1.21%	1.51%	0.89%	0.64%	0.95%	0.37%
60	1.12%	1.43%	0.81%	0.59%	0.88%	0.34%
59	1.04%	1.33%	0.74%	0.55%	0.82%	0.32%
58	0.96%	1.23%	0.69%	0.51%	0.75%	0.29%
57	0.88%	1.12%	0.64%	0.47%	0.7%	0.27%
56	0.8%	1.01%	0.6%	0.44%	0.64%	0.25%
55	0.74%	0.91%	0.57%	0.41%	0.6%	0.24%
54	0.68%	0.83%	0.54%	0.38%	0.55%	0.22%
53	0.62%	0.75%	0.5%	0.35%	0.51%	0.21%
52	0.57%	0.68%	0.47%	0.32%	0.47%	0.19%
51	0.52%	0.61%	0.44%	0.3%	0.43%	0.18%
50	0.47%	0.55%	0.4%	0.27%	0.38%	0.16%
49	0.42%	0.48%	0.36%	0.24%	0.34%	0.15%
48	0.37%	0.43%	0.32%	0.22%	0.3%	0.14%
47	0.33%	0.37%	0.28%	0.2%	0.27%	0.13%
46	0.29%	0.33%	0.25%	0.18%	0.24%	0.11%
45	0.26%	0.29%	0.23%	0.16%	0.21%	0.1%
44	0.23%	0.26%	0.21%	0.14%	0.19%	0.09%
43	0.22%	0.23%	0.2%	0.13%	0.17%	0.08%
42	0.2%	0.21%	0.19%	0.11%	0.15%	0.08%
41	0.19%	0.19%	0.18%	0.1%	0.13%	0.07%
40	0.17%	0.18%	0.17%	0.09%	0.12%	0.06%
39	0.16%	0.16%	0.15%	0.08%	0.1%	0.06%
38	0.14%	0.15%	0.14%	0.07%	0.09%	0.05%
37	0.13%	0.14%	0.12%	0.06%	0.08%	0.04%
36	0.12%	0.13%	0.11%	0.06%	0.07%	0.04%
35	0.11%	0.13%	0.1%	0.05%	0.07%	0.04%
34	0.11%	0.12%	0.09%	0.05%	0.06%	0.03%
33	0.1%	0.12%	0.09%	0.04%	0.06%	0.03%
32	0.1%	0.12%	0.09%	0.04%	0.06%	0.03%
31	0.1%	0.12%	0.09%	0.04%	0.05%	0.03%
30	0.1%	0.11%	0.09%	0.04%	0.05%	0.02%
29	0.09%	0.11%	0.08%	0.04%	0.05%	0.02%
28	0.09%	0.1%	0.08%	0.03%	0.05%	0.02%
27	0.08%	0.09%	0.07%	0.03%	0.05%	0.02%
26	0.08%	0.08%	0.07%	0.03%	0.04%	0.02%
25	0.07%	0.08%	0.07%	0.03%	0.04%	0.02%
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%	0.02%
21	0.08%	0.09%	0.08%	0.03%	0.04%	0.02%
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%	0.03%	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%	0.008%	0.009%	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%	0.005%	0.005%
8	0.05%	0.04%	0.05%	0.005%	0.005%	0.005%
7	0.06%	0.05%	0.06%	0.005%	0.005%	0.004%
6	0.07%	0.07%	0.07%	0.005%	0.005%	0.004%
5	0.08%	0.07%	0.08%	0.005%	0.006%	0.005%
4	0.07%	0.07%	0.08%	0.006%	0.007%	0.006%
3	0.06%	0.06%	0.07%	0.009%	0.01%	0.008%
2	0.07%	0.07%	0.07%	0.02%	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%	0.19%

This chart displays the probability of dying at any given age in Bangladesh compared to Portugal, 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 Portugal, 0.1% vs 0.04% at age 30, 1.12% vs 0.59% at 60, and 6.36% vs 3.82% at 80.

Death rate by age in Bangladesh vs Portugal

Chart Table

Bangladesh

Male

Female

Portugal

Male

Female

1x

Age	Death rate
	Bangladesh			Portugal
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	810	374	1,188
99	504	274.2	753	1,243	749	1,681
98	698	414	1,006	1,613	1,019	2,147
97	924	588	1,288	2,022	1,339	2,643
96	1,175	796	1,587	2,448	1,698	3,140
95	1,440	1,030	1,887	2,875	2,081	3,611
94	1,718	1,287	2,186	3,278	2,469	4,036
93	1,995	1,557	2,471	3,642	2,847	4,400
92	2,264	1,828	2,735	3,957	3,200	4,688
91	2,514	2,095	2,969	4,225	3,532	4,904
90	2,738	2,353	3,155	4,340	3,738	4,933
89	2,932	2,596	3,297	4,424	3,931	4,925
88	3,093	2,815	3,394	4,378	3,996	4,781
87	3,217	3,003	3,447	4,318	4,044	4,616
86	3,301	3,148	3,465	4,185	4,017	4,368
85	3,347	3,247	3,451	3,997	3,930	4,062
84	3,355	3,299	3,412	3,763	3,799	3,731
83	3,331	3,310	3,348	3,509	3,634	3,399
82	3,279	3,289	3,261	3,223	3,413	3,050
81	3,205	3,246	3,153	2,969	3,215	2,744
80	3,114	3,189	3,027	2,665	2,944	2,408
79	3,015	3,128	2,889	2,414	2,720	2,124
78	2,903	3,054	2,742	2,171	2,495	1,860
77	2,781	2,966	2,589	1,978	2,317	1,646
76	2,649	2,862	2,434	1,795	2,139	1,453
75	2,510	2,740	2,281	1,627	1,973	1,285
74	2,374	2,605	2,137	1,482	1,832	1,145
73	2,238	2,458	1,998	1,353	1,703	1,024
72	2,099	2,301	1,868	1,239	1,579	914
71	1,961	2,138	1,748	1,150	1,489	829
70	1,826	1,974	1,638	1,045	1,370	737
69	1,697	1,817	1,540	976	1,298	672
68	1,574	1,674	1,445	894	1,205	604
67	1,463	1,551	1,351	831	1,134	550
66	1,364	1,452	1,255	777	1,068	503
65	1,278	1,382	1,154	730	1,014	465
64	1,206	1,339	1,052	691	971	432
63	1,143	1,310	953	656	932	403
62	1,085	1,285	861	623	892	377
61	1,028	1,253	781	595	855	355
60	968	1,203	714	552	797	327
59	906	1,138	659	517	749	304
58	841	1,059	615	479	695	280
57	778	975	577	448	647	261.4
56	718	892	545	417	601	244.5
55	664	814	516	389	560	229.8
54	615	743	490	364	522	216.2
53	570	679	464	338	484	203.1
52	526	618	437	312	445	189.2
51	482	560	406	288.2	408	176.1
50	437	503	371	260.4	366	161.5
49	391	448	334	236.6	330	149
48	347	396	296.7	212.9	295.2	135.9
47	307	349	263.5	192.2	265.3	123.9
46	272.6	308	235.8	172.1	236.4	111.8
45	244	272.8	214.7	153.6	209.9	100.7
44	221.8	243.8	200.3	138.1	187.4	91.6
43	204.5	219.6	190.2	124.3	166.9	83.7
42	190.1	199.2	181.9	111.5	147.9	76.5
41	177.1	181.7	173	100.4	132.1	69.8
40	164	166.5	161.7	88.2	115.4	62
39	149.7	153.1	146.8	77.9	101.3	55
38	135.6	141.5	130.4	68.7	89.2	48.5
37	123.1	132.1	115.1	61.6	80.3	42.9
36	112.9	124.8	102.4	56	73.5	38.5
35	105.6	119.7	93.2	51.9	68.3	35.2
34	101.3	116.7	87.9	48.2	63.7	32.6
33	99.2	115.2	85.6	44.5	58.8	30.1
32	98.3	114.1	85	41.6	55	27.8
31	97.4	112.5	84.9	39.7	53.2	25.7
30	95.3	109.1	84	37.9	51.8	23.4
29	90.9	103.1	81.1	36.2	50.7	21.1
28	85.2	95.6	76.8	33.9	48.6	18.7
27	79.3	88.1	72.3	31.7	46.2	16.7
26	74.5	81.9	68.5	29.8	43.5	15.5
25	71.7	78	66.4	28.6	41.2	15.3
24	71	76.7	66.2	27.8	39.4	15.7
23	73	78.2	68.4	27.5	38.2	16.2
22	76.9	81.7	72.4	26.9	37.2	16.1
21	81.9	86.3	77.8	26	36	15.5
20	87.2	90.9	83.5	24.5	34.2	14.5
19	91.1	93.9	88.3	21.9	30.5	13
18	92.8	94.5	91	18.6	25.8	11.2
17	91.4	92	90.8	15.3	20.8	9.7
16	86.6	86.2	87	12.2	16	8.39
15	78	77	79	9.78	12.1	7.4
14	66.5	65.4	67.8	8	9.27	6.65
13	54.3	53.3	55.5	6.88	7.6	6.12
12	44.1	43.2	45.1	6.21	6.69	5.7
11	37.7	36.8	38.7	5.85	6.3	5.37
10	34.4	33.5	35.3	5.56	5.99	5.1
9	36.2	35	37.5	5.15	5.43	4.85
8	44.9	42.8	47	4.77	4.94	4.6
7	56.8	53.6	60.1	4.6	4.78	4.41
6	67.8	63.8	72.1	4.8	5.18	4.39
5	74.1	69.7	78.7	5.34	5.98	4.67
4	71.7	67.9	75.7	6.36	7.16	5.52
3	61.4	58.9	63.9	8.8	9.82	7.74
2	70.1	68.9	71.4	15.2	16.9	13.4
1	172.9	175.4	170.2	34.3	38	30.5
0	1,530	1,613	1,443	214.3	234.1	193.4

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 Portugal. The median age of death is 79.7 in Bangladesh and 85.9 in Portugal, 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 Portugal more than their death rates.

Life expectancy in other countries

+ -

1x