Life Expectancy in Bangladesh vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Malawi
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.1	101.9	102.2
99	101.2	100.9	101.3	101.2	101	101.3
98	100.3	99.9	100.4	100.3	100.1	100.4
97	99.4	99.1	99.6	99.4	99.2	99.5
96	98.6	98.2	98.8	98.6	98.4	98.6
95	97.8	97.4	98	97.7	97.5	97.8
94	97	96.6	97.2	96.9	96.6	97
93	96.3	95.9	96.5	96	95.8	96.1
92	95.5	95.1	95.8	95.2	94.9	95.3
91	94.8	94.4	95.1	94.4	94.1	94.5
90	94.1	93.6	94.4	93.6	93.2	93.8
89	93.4	92.9	93.8	92.8	92.4	93
88	92.8	92.2	93.1	92.1	91.6	92.2
87	92.1	91.6	92.5	91.3	90.8	91.5
86	91.5	90.9	91.9	90.6	90.1	90.8
85	90.9	90.3	91.3	89.8	89.3	90.1
84	90.3	89.6	90.8	89.1	88.5	89.4
83	89.7	89	90.2	88.4	87.8	88.8
82	89.2	88.5	89.7	87.8	87.1	88.2
81	88.6	87.9	89.2	87.2	86.4	87.6
80	88.1	87.4	88.7	86.5	85.8	87
79	87.6	86.8	88.3	85.9	85.1	86.4
78	87.1	86.3	87.8	85.3	84.5	85.9
77	86.7	85.8	87.4	84.8	83.8	85.3
76	86.2	85.4	87	84.2	83.2	84.8
75	85.8	84.9	86.6	83.6	82.7	84.3
74	85.4	84.5	86.2	83.1	82.1	83.9
73	85	84	85.9	82.6	81.5	83.4
72	84.6	83.6	85.5	82.1	81	83
71	84.2	83.2	85.2	81.7	80.5	82.5
70	83.9	82.9	84.9	81.2	80	82.1
69	83.6	82.5	84.6	80.8	79.5	81.8
68	83.3	82.2	84.3	80.3	79	81.4
67	83	81.9	84	79.9	78.6	81
66	82.7	81.6	83.8	79.5	78.1	80.7
65	82.4	81.3	83.5	79.2	77.7	80.4
64	82.2	81.1	83.3	78.8	77.3	80
63	81.9	80.8	83.1	78.5	76.9	79.8
62	81.6	80.5	82.9	78.1	76.5	79.5
61	81.4	80.2	82.7	77.8	76.1	79.2
60	81.2	79.9	82.5	77.5	75.8	78.9
59	80.9	79.6	82.3	77.2	75.4	78.7
58	80.7	79.4	82.2	76.9	75.1	78.5
57	80.5	79.1	82	76.7	74.8	78.2
56	80.3	78.9	81.8	76.4	74.5	78
55	80.1	78.7	81.7	76.1	74.2	77.8
54	80	78.5	81.5	75.9	73.9	77.6
53	79.8	78.3	81.4	75.6	73.6	77.4
52	79.7	78.1	81.3	75.4	73.3	77.3
51	79.5	78	81.1	75.2	73	77.1
50	79.4	77.8	81	75	72.8	76.9
49	79.2	77.7	80.9	74.8	72.5	76.7
48	79.1	77.6	80.8	74.6	72.3	76.6
47	79	77.4	80.7	74.4	72.1	76.5
46	78.9	77.3	80.6	74.2	71.9	76.3
45	78.8	77.3	80.5	74	71.7	76.2
44	78.8	77.2	80.5	73.8	71.5	76.1
43	78.7	77.1	80.4	73.7	71.3	75.9
42	78.6	77	80.3	73.5	71.1	75.8
41	78.5	77	80.2	73.4	70.9	75.7
40	78.5	76.9	80.2	73.3	70.7	75.6
39	78.4	76.8	80.1	73.1	70.6	75.5
38	78.4	76.8	80.1	73	70.4	75.4
37	78.3	76.7	80	72.9	70.2	75.3
36	78.3	76.7	80	72.7	70.1	75.2
35	78.2	76.6	79.9	72.6	69.9	75.1
34	78.2	76.6	79.9	72.5	69.8	75
33	78.1	76.5	79.8	72.4	69.7	75
32	78.1	76.5	79.8	72.3	69.5	74.9
31	78	76.4	79.8	72.2	69.4	74.8
30	78	76.4	79.7	72.1	69.3	74.7
29	77.9	76.3	79.7	72	69.2	74.7
28	77.9	76.3	79.6	71.9	69.1	74.6
27	77.8	76.2	79.6	71.8	68.9	74.5
26	77.8	76.2	79.6	71.7	68.8	74.5
25	77.8	76.1	79.5	71.6	68.7	74.4
24	77.7	76.1	79.5	71.6	68.6	74.3
23	77.7	76	79.4	71.5	68.5	74.3
22	77.6	76	79.4	71.4	68.4	74.2
21	77.6	75.9	79.3	71.3	68.3	74.2
20	77.5	75.9	79.3	71.2	68.2	74.1
19	77.5	75.8	79.2	71.2	68.1	74.1
18	77.4	75.8	79.2	71.1	68	74
17	77.4	75.7	79.1	71	68	74
16	77.3	75.7	79.1	71	67.9	73.9
15	77.3	75.6	79	70.9	67.8	73.9
14	77.2	75.6	79	70.9	67.8	73.9
13	77.2	75.6	78.9	70.9	67.8	73.8
12	77.2	75.5	78.9	70.8	67.7	73.8
11	77.1	75.5	78.9	70.8	67.7	73.8
10	77.1	75.5	78.9	70.7	67.6	73.7
9	77.1	75.5	78.8	70.7	67.6	73.7
8	77.1	75.4	78.8	70.7	67.5	73.6
7	77	75.4	78.8	70.6	67.5	73.6
6	77	75.3	78.7	70.5	67.4	73.5
5	76.9	75.3	78.6	70.5	67.4	73.5
4	76.9	75.2	78.6	70.4	67.3	73.4
3	76.8	75.2	78.5	70.3	67.1	73.3
2	76.8	75.2	78.5	70.1	67	73.1
1	76.6	75	78.3	69.8	66.7	72.9
0	75.5	73.8	77.2	67.9	64.6	71.1

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 72.1 in Malawi, rising to 82.4 and 79.2 at 65, and to 88.1 and 86.5 at 80 — higher than the 75.5 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	Bangladesh			Malawi
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.28%	0.11%	0.45%
99	1.37%	0.63%	2.15%	0.42%	0.17%	0.68%
98	2.06%	1.05%	3.16%	0.63%	0.26%	1%
97	2.99%	1.63%	4.44%	0.91%	0.4%	1.43%
96	4.16%	2.43%	6.03%	1.29%	0.58%	2.01%
95	5.6%	3.46%	7.92%	1.8%	0.84%	2.76%
94	7.32%	4.75%	10.1%	2.44%	1.19%	3.7%
93	9.32%	6.3%	12.6%	3.24%	1.64%	4.85%
92	11.6%	8.13%	15.3%	4.23%	2.22%	6.24%
91	14.1%	10.2%	18.3%	5.39%	2.93%	7.85%
90	16.8%	12.6%	21.4%	6.79%	3.82%	9.75%
89	19.8%	15.2%	24.7%	8.39%	4.88%	11.9%
88	22.9%	18%	28.1%	10.2%	6.14%	14.2%
87	26.1%	21%	31.6%	12.2%	7.6%	16.8%
86	29.4%	24.1%	35%	14.5%	9.26%	19.6%
85	32.7%	27.4%	38.5%	16.9%	11.1%	22.5%
84	36.1%	30.7%	41.9%	19.5%	13.2%	25.6%
83	39.4%	34%	45.2%	22.1%	15.4%	28.7%
82	42.7%	37.3%	48.5%	24.9%	17.8%	31.9%
81	45.9%	40.5%	51.7%	27.7%	20.2%	35%
80	49%	43.7%	54.7%	30.6%	22.8%	38.2%
79	52%	46.8%	57.6%	33.5%	25.5%	41.3%
78	54.9%	49.9%	60.3%	36.4%	28.2%	44.4%
77	57.7%	52.9%	62.9%	39.3%	31%	47.4%
76	60.4%	55.7%	65.3%	42.1%	33.7%	50.3%
75	62.9%	58.5%	67.6%	44.9%	36.5%	53.1%
74	65.2%	61.1%	69.8%	47.7%	39.2%	55.8%
73	67.5%	63.5%	71.8%	50.3%	41.9%	58.4%
72	69.6%	65.8%	73.6%	52.9%	44.6%	60.9%
71	71.5%	68%	75.4%	55.3%	47.1%	63.2%
70	73.4%	69.9%	77%	57.7%	49.6%	65.4%
69	75.1%	71.8%	78.6%	59.9%	52%	67.4%
68	76.6%	73.4%	80%	62.1%	54.3%	69.4%
67	78.1%	75%	81.4%	64.1%	56.5%	71.2%
66	79.5%	76.4%	82.6%	66%	58.7%	72.9%
65	80.7%	77.8%	83.8%	67.8%	60.7%	74.5%
64	81.9%	79.2%	84.8%	69.5%	62.7%	76%
63	83.1%	80.5%	85.8%	71.1%	64.6%	77.4%
62	84.2%	81.8%	86.6%	72.7%	66.4%	78.7%
61	85.2%	83%	87.4%	74.1%	68.1%	79.9%
60	86.2%	84.2%	88.1%	75.4%	69.7%	81%
59	87.1%	85.4%	88.8%	76.6%	71.2%	82%
58	87.9%	86.4%	89.4%	77.8%	72.6%	83%
57	88.7%	87.4%	90%	78.9%	74%	83.8%
56	89.4%	88.3%	90.5%	80%	75.2%	84.7%
55	90.1%	89.1%	91%	81%	76.5%	85.5%
54	90.7%	89.8%	91.5%	81.9%	77.6%	86.2%
53	91.3%	90.5%	92%	82.8%	78.7%	86.9%
52	91.8%	91.1%	92.4%	83.7%	79.8%	87.5%
51	92.3%	91.7%	92.8%	84.5%	80.7%	88.1%
50	92.7%	92.2%	93.2%	85.2%	81.7%	88.7%
49	93.1%	92.6%	93.5%	85.9%	82.5%	89.2%
48	93.4%	93%	93.8%	86.6%	83.3%	89.7%
47	93.8%	93.4%	94.1%	87.2%	84.1%	90.1%
46	94%	93.7%	94.3%	87.7%	84.8%	90.5%
45	94.3%	94%	94.5%	88.3%	85.5%	90.9%
44	94.5%	94.2%	94.7%	88.8%	86.1%	91.3%
43	94.7%	94.4%	94.9%	89.2%	86.7%	91.6%
42	94.9%	94.6%	95.1%	89.7%	87.3%	92%
41	95.1%	94.8%	95.3%	90.1%	87.8%	92.3%
40	95.2%	95%	95.5%	90.5%	88.3%	92.5%
39	95.4%	95.1%	95.6%	90.8%	88.8%	92.8%
38	95.5%	95.3%	95.7%	91.2%	89.3%	93.1%
37	95.6%	95.4%	95.8%	91.5%	89.7%	93.3%
36	95.7%	95.5%	95.9%	91.8%	90.1%	93.5%
35	95.9%	95.6%	96%	92.1%	90.5%	93.7%
34	96%	95.8%	96.1%	92.4%	90.8%	93.9%
33	96.1%	95.9%	96.2%	92.6%	91.1%	94.1%
32	96.2%	96%	96.3%	92.9%	91.5%	94.3%
31	96.3%	96.1%	96.4%	93.1%	91.8%	94.4%
30	96.3%	96.2%	96.5%	93.3%	92.1%	94.6%
29	96.4%	96.3%	96.5%	93.5%	92.3%	94.7%
28	96.5%	96.4%	96.6%	93.7%	92.6%	94.9%
27	96.6%	96.5%	96.7%	93.9%	92.9%	95%
26	96.7%	96.6%	96.8%	94.1%	93.1%	95.1%
25	96.7%	96.7%	96.8%	94.3%	93.3%	95.2%
24	96.8%	96.7%	96.9%	94.5%	93.6%	95.4%
23	96.9%	96.8%	97%	94.6%	93.8%	95.5%
22	97%	96.9%	97%	94.8%	94%	95.6%
21	97%	97%	97.1%	94.9%	94.2%	95.7%
20	97.1%	97.1%	97.2%	95.1%	94.4%	95.8%
19	97.2%	97.2%	97.3%	95.2%	94.6%	95.9%
18	97.3%	97.3%	97.4%	95.3%	94.7%	96%
17	97.4%	97.4%	97.5%	95.4%	94.9%	96%
16	97.5%	97.4%	97.6%	95.5%	95%	96.1%
15	97.6%	97.5%	97.6%	95.6%	95.1%	96.2%
14	97.6%	97.6%	97.7%	95.7%	95.2%	96.2%
13	97.7%	97.6%	97.8%	95.8%	95.2%	96.3%
12	97.7%	97.7%	97.8%	95.8%	95.3%	96.3%
11	97.8%	97.7%	97.8%	95.9%	95.4%	96.4%
10	97.8%	97.8%	97.9%	95.9%	95.4%	96.4%
9	97.9%	97.8%	97.9%	96%	95.5%	96.5%
8	97.9%	97.8%	98%	96.1%	95.6%	96.5%
7	98%	97.9%	98%	96.1%	95.7%	96.6%
6	98%	97.9%	98.1%	96.2%	95.8%	96.7%
5	98.1%	98%	98.2%	96.3%	95.9%	96.8%
4	98.2%	98.1%	98.3%	96.5%	96%	96.9%
3	98.2%	98.1%	98.3%	96.6%	96.2%	97%
2	98.3%	98.2%	98.4%	96.9%	96.5%	97.3%
1	98.5%	98.4%	98.6%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 75.4% in Malawi are expected to live past 60, 73.4% and 57.7% past 70, 49% and 30.6% past 80, and only 16.8% and 6.79% 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

Malawi

Male

Female

1x

Age	Probability of dying
	Bangladesh			Malawi
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	35.9%	38.2%	35.3%
99	36.9%	43.4%	35%	34.4%	36.8%	33.8%
98	33.8%	39.5%	31.9%	32.6%	35.1%	31.9%
97	30.9%	36%	29%	31.2%	33.7%	30.4%
96	28.2%	32.7%	26.3%	29.7%	32.3%	28.8%
95	25.7%	29.8%	23.8%	28.1%	30.8%	27.2%
94	23.5%	27.1%	21.6%	26.3%	29.1%	25.4%
93	21.4%	24.7%	19.6%	24.7%	27.5%	23.7%
92	19.5%	22.5%	17.9%	23.3%	26%	22.2%
91	17.8%	20.5%	16.2%	21.6%	24.4%	20.5%
90	16.3%	18.7%	14.7%	20.6%	23.3%	19.5%
89	14.8%	17.1%	13.3%	19%	21.7%	17.8%
88	13.5%	15.6%	12.1%	17.8%	20.5%	16.6%
87	12.3%	14.3%	10.9%	16.6%	19.2%	15.3%
86	11.2%	13%	9.89%	15.4%	18%	14.2%
85	10.2%	11.9%	8.97%	14.3%	16.7%	13.1%
84	9.3%	10.8%	8.14%	13.3%	15.6%	12%
83	8.45%	9.74%	7.4%	12.1%	14.4%	10.9%
82	7.68%	8.82%	6.72%	11.1%	13.3%	9.93%
81	6.98%	8.01%	6.1%	10.1%	12.1%	8.87%
80	6.36%	7.29%	5.53%	9.44%	11.4%	8.27%
79	5.8%	6.68%	5.02%	8.65%	10.4%	7.55%
78	5.29%	6.12%	4.54%	8.01%	9.69%	6.95%
77	4.82%	5.61%	4.11%	7.31%	8.88%	6.31%
76	4.39%	5.14%	3.73%	6.76%	8.21%	5.8%
75	3.99%	4.69%	3.37%	6.27%	7.59%	5.34%
74	3.64%	4.27%	3.06%	5.75%	6.98%	4.86%
73	3.32%	3.87%	2.78%	5.28%	6.42%	4.43%
72	3.02%	3.49%	2.54%	4.86%	5.92%	4.05%
71	2.74%	3.15%	2.32%	4.4%	5.38%	3.63%
70	2.49%	2.82%	2.13%	4.11%	5.03%	3.39%
69	2.26%	2.53%	1.96%	3.72%	4.59%	3.03%
68	2.05%	2.28%	1.81%	3.43%	4.25%	2.78%
67	1.87%	2.07%	1.66%	3.15%	3.93%	2.54%
66	1.72%	1.9%	1.52%	2.9%	3.64%	2.33%
65	1.58%	1.78%	1.38%	2.7%	3.4%	2.17%
64	1.47%	1.69%	1.24%	2.47%	3.15%	1.97%
63	1.38%	1.63%	1.11%	2.27%	2.92%	1.8%
62	1.29%	1.57%	0.99%	2.09%	2.7%	1.65%
61	1.21%	1.51%	0.89%	1.9%	2.48%	1.49%
60	1.12%	1.43%	0.81%	1.77%	2.32%	1.39%
59	1.04%	1.33%	0.74%	1.62%	2.12%	1.25%
58	0.96%	1.23%	0.69%	1.5%	1.97%	1.15%
57	0.88%	1.12%	0.64%	1.4%	1.83%	1.06%
56	0.8%	1.01%	0.6%	1.31%	1.7%	0.98%
55	0.74%	0.91%	0.57%	1.23%	1.59%	0.91%
54	0.68%	0.83%	0.54%	1.16%	1.49%	0.85%
53	0.62%	0.75%	0.5%	1.09%	1.39%	0.79%
52	0.57%	0.68%	0.47%	1.02%	1.3%	0.74%
51	0.52%	0.61%	0.44%	0.94%	1.21%	0.67%
50	0.47%	0.55%	0.4%	0.89%	1.14%	0.63%
49	0.42%	0.48%	0.36%	0.82%	1.05%	0.58%
48	0.37%	0.43%	0.32%	0.76%	0.98%	0.54%
47	0.33%	0.37%	0.28%	0.7%	0.91%	0.5%
46	0.29%	0.33%	0.25%	0.65%	0.84%	0.46%
45	0.26%	0.29%	0.23%	0.6%	0.79%	0.43%
44	0.23%	0.26%	0.21%	0.56%	0.74%	0.4%
43	0.22%	0.23%	0.2%	0.52%	0.69%	0.37%
42	0.2%	0.21%	0.19%	0.49%	0.65%	0.35%
41	0.19%	0.19%	0.18%	0.45%	0.6%	0.33%
40	0.17%	0.18%	0.17%	0.43%	0.57%	0.31%
39	0.16%	0.16%	0.15%	0.4%	0.53%	0.29%
38	0.14%	0.15%	0.14%	0.38%	0.5%	0.27%
37	0.13%	0.14%	0.12%	0.35%	0.47%	0.25%
36	0.12%	0.13%	0.11%	0.33%	0.44%	0.23%
35	0.11%	0.13%	0.1%	0.31%	0.42%	0.22%
34	0.11%	0.12%	0.09%	0.29%	0.39%	0.21%
33	0.1%	0.12%	0.09%	0.28%	0.37%	0.19%
32	0.1%	0.12%	0.09%	0.26%	0.35%	0.18%
31	0.1%	0.12%	0.09%	0.25%	0.33%	0.17%
30	0.1%	0.11%	0.09%	0.24%	0.32%	0.16%
29	0.09%	0.11%	0.08%	0.23%	0.3%	0.15%
28	0.09%	0.1%	0.08%	0.22%	0.29%	0.15%
27	0.08%	0.09%	0.07%	0.21%	0.27%	0.14%
26	0.08%	0.08%	0.07%	0.2%	0.26%	0.13%
25	0.07%	0.08%	0.07%	0.19%	0.25%	0.13%
24	0.07%	0.08%	0.07%	0.18%	0.24%	0.12%
23	0.08%	0.08%	0.07%	0.18%	0.24%	0.12%
22	0.08%	0.08%	0.07%	0.17%	0.23%	0.11%
21	0.08%	0.09%	0.08%	0.16%	0.21%	0.11%
20	0.09%	0.09%	0.09%	0.15%	0.2%	0.1%
19	0.09%	0.1%	0.09%	0.14%	0.19%	0.1%
18	0.1%	0.1%	0.09%	0.13%	0.17%	0.09%
17	0.09%	0.09%	0.09%	0.11%	0.15%	0.08%
16	0.09%	0.09%	0.09%	0.1%	0.12%	0.08%
15	0.08%	0.08%	0.08%	0.09%	0.1%	0.07%
14	0.07%	0.07%	0.07%	0.07%	0.09%	0.06%
13	0.06%	0.05%	0.06%	0.07%	0.08%	0.06%
12	0.05%	0.04%	0.05%	0.06%	0.07%	0.05%
11	0.04%	0.04%	0.04%	0.06%	0.07%	0.05%
10	0.04%	0.03%	0.04%	0.06%	0.07%	0.05%
9	0.04%	0.04%	0.04%	0.07%	0.07%	0.06%
8	0.05%	0.04%	0.05%	0.07%	0.08%	0.06%
7	0.06%	0.05%	0.06%	0.08%	0.09%	0.07%
6	0.07%	0.07%	0.07%	0.09%	0.1%	0.08%
5	0.08%	0.07%	0.08%	0.1%	0.11%	0.09%
4	0.07%	0.07%	0.08%	0.13%	0.14%	0.12%
3	0.06%	0.06%	0.07%	0.17%	0.19%	0.16%
2	0.07%	0.07%	0.07%	0.25%	0.27%	0.22%
1	0.18%	0.18%	0.17%	0.39%	0.42%	0.36%
0	1.53%	1.61%	1.44%	2.76%	3.13%	2.38%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.76% in Malawi, 0.1% vs 0.24% at age 30, 1.12% vs 1.77% at 60, and 6.36% vs 9.44% at 80.

Death rate by age in Bangladesh vs Malawi

Chart Table

Bangladesh

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	Bangladesh			Malawi
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	34.7	0.008	71
99	504	274.2	753	145.2	62.6	229.1
98	698	414	1,006	204.3	91.9	318
97	924	588	1,288	283.6	133.3	435
96	1,175	796	1,587	384	188.4	580
95	1,440	1,030	1,887	505	259.5	751
94	1,718	1,287	2,186	643	345	939
93	1,995	1,557	2,471	802	451	1,153
92	2,264	1,828	2,735	983	576	1,387
91	2,514	2,095	2,969	1,166	714	1,612
90	2,738	2,353	3,155	1,399	890	1,900
89	2,932	2,596	3,297	1,594	1,061	2,117
88	3,093	2,815	3,394	1,819	1,259	2,365
87	3,217	3,003	3,447	2,026	1,457	2,578
86	3,301	3,148	3,465	2,231	1,664	2,778
85	3,347	3,247	3,451	2,412	1,861	2,944
84	3,355	3,299	3,412	2,577	2,061	3,073
83	3,331	3,310	3,348	2,684	2,217	3,131
82	3,279	3,289	3,261	2,777	2,368	3,168
81	3,205	3,246	3,153	2,788	2,455	3,104
80	3,114	3,189	3,027	2,887	2,601	3,158
79	3,015	3,128	2,889	2,894	2,661	3,115
78	2,903	3,054	2,742	2,915	2,734	3,085
77	2,781	2,966	2,589	2,869	2,749	2,989
76	2,649	2,862	2,434	2,847	2,770	2,916
75	2,510	2,740	2,281	2,815	2,769	2,834
74	2,374	2,605	2,137	2,739	2,737	2,711
73	2,238	2,458	1,998	2,655	2,691	2,586
72	2,099	2,301	1,868	2,572	2,639	2,467
71	1,961	2,138	1,748	2,433	2,537	2,293
70	1,826	1,974	1,638	2,371	2,494	2,214
69	1,697	1,817	1,540	2,226	2,386	2,040
68	1,574	1,674	1,445	2,127	2,309	1,930
67	1,463	1,551	1,351	2,016	2,222	1,808
66	1,364	1,452	1,255	1,912	2,137	1,699
65	1,278	1,382	1,154	1,828	2,067	1,615
64	1,206	1,339	1,052	1,716	1,973	1,499
63	1,143	1,310	953	1,612	1,883	1,395
62	1,085	1,285	861	1,516	1,794	1,300
61	1,028	1,253	781	1,405	1,687	1,188
60	968	1,203	714	1,338	1,616	1,125
59	906	1,138	659	1,239	1,510	1,025
58	841	1,059	615	1,171	1,430	958
57	778	975	577	1,102	1,350	887
56	718	892	545	1,048	1,282	833
55	664	814	516	996	1,219	778
54	615	743	490	949	1,157	731
53	570	679	464	900	1,096	684
52	526	618	437	855	1,040	645
51	482	560	406	798	975	592
50	437	503	371	759	929	563
49	391	448	334	702	865	517
48	347	396	296.7	655	813	482
47	307	349	263.5	609	762	446
46	272.6	308	235.8	568	716	416
45	244	272.8	214.7	533	677	392
44	221.8	243.8	200.3	496	634	365
43	204.5	219.6	190.2	465	598	343
42	190.1	199.2	181.9	438	566	324
41	177.1	181.7	173	408	530	299.9
40	164	166.5	161.7	388	506	285.2
39	149.7	153.1	146.8	363	474	265.1
38	135.6	141.5	130.4	343	449	249.3
37	123.1	132.1	115.1	322	423	232
36	112.9	124.8	102.4	304	399	218.8
35	105.6	119.7	93.2	288.1	378	205.9
34	101.3	116.7	87.9	271.5	356	192.6
33	99.2	115.2	85.6	257	337	181.7
32	98.3	114.1	85	244.2	320	171.7
31	97.4	112.5	84.9	230.4	302	160.6
30	95.3	109.1	84	222	290.7	154.7
29	90.9	103.1	81.1	210.9	276.4	146.2
28	85.2	95.6	76.8	201.9	265	139.1
27	79.3	88.1	72.3	193.4	254.5	132.5
26	74.5	81.9	68.5	185.6	245.1	126.3
25	71.7	78	66.4	178.7	237.2	120.4
24	71	76.7	66.2	172.2	229	115.6
23	73	78.2	68.4	165.6	221	110.5
22	76.9	81.7	72.4	158.7	211.8	105.8
21	81.9	86.3	77.8	151	201	101.2
20	87.2	90.9	83.5	143.1	189.1	97.4
19	91.1	93.9	88.3	133.8	175.4	92.3
18	92.8	94.5	91	123.3	160.2	86.6
17	91.4	92	90.8	108.6	137.6	79.6
16	86.6	86.2	87	94.9	117	72.7
15	78	77	79	82	98.8	65.2
14	66.5	65.4	67.8	71.7	85	58.4
13	54.3	53.3	55.5	64.5	75.3	53.7
12	44.1	43.2	45.1	60.4	70.1	50.6
11	37.7	36.8	38.7	59	68.1	49.8
10	34.4	33.5	35.3	59.7	68.2	51.1
9	36.2	35	37.5	62.8	71.3	54.1
8	44.9	42.8	47	68.3	77.3	59.2
7	56.8	53.6	60.1	76.3	85.7	66.7
6	67.8	63.8	72.1	85.9	95.4	76.4
5	74.1	69.7	78.7	100.2	110	90.4
4	71.7	67.9	75.7	126.8	139.2	114.2
3	61.4	58.9	63.9	168.3	184.6	151.7
2	70.1	68.9	71.4	237.5	258.9	215.8
1	172.9	175.4	170.2	379	404	353
0	1,530	1,613	1,443	2,759	3,129	2,385

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 78 in Malawi. The median age of death is 79.7 in Bangladesh and 73.1 in Malawi, 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 Malawi more than their death rates.

Life expectancy in other countries

+ -

1x