Life Expectancy in Bangladesh vs Sudan (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Sudan
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.8	101.7	101.9
99	101.2	100.9	101.3	100.9	100.7	100.9
98	100.3	99.9	100.4	100	99.8	100
97	99.4	99.1	99.6	99.1	98.9	99.2
96	98.6	98.2	98.8	98.2	98	98.3
95	97.8	97.4	98	97.3	97.1	97.4
94	97	96.6	97.2	96.5	96.2	96.6
93	96.3	95.9	96.5	95.6	95.4	95.8
92	95.5	95.1	95.8	94.8	94.5	95
91	94.8	94.4	95.1	94	93.7	94.2
90	94.1	93.6	94.4	93.2	92.9	93.4
89	93.4	92.9	93.8	92.4	92.1	92.7
88	92.8	92.2	93.1	91.7	91.3	91.9
87	92.1	91.6	92.5	90.9	90.6	91.2
86	91.5	90.9	91.9	90.2	89.9	90.5
85	90.9	90.3	91.3	89.5	89.2	89.8
84	90.3	89.6	90.8	88.8	88.5	89.1
83	89.7	89	90.2	88.1	87.8	88.5
82	89.2	88.5	89.7	87.5	87.1	87.8
81	88.6	87.9	89.2	86.8	86.5	87.2
80	88.1	87.4	88.7	86.2	85.8	86.6
79	87.6	86.8	88.3	85.6	85.2	86.1
78	87.1	86.3	87.8	85	84.6	85.5
77	86.7	85.8	87.4	84.5	84.1	85
76	86.2	85.4	87	84	83.5	84.5
75	85.8	84.9	86.6	83.5	83	84
74	85.4	84.5	86.2	83	82.5	83.6
73	85	84	85.9	82.5	82	83.1
72	84.6	83.6	85.5	82.1	81.5	82.7
71	84.2	83.2	85.2	81.6	81	82.3
70	83.9	82.9	84.9	81.2	80.6	82
69	83.6	82.5	84.6	80.8	80.2	81.6
68	83.3	82.2	84.3	80.5	79.8	81.3
67	83	81.9	84	80.1	79.4	81
66	82.7	81.6	83.8	79.8	79	80.7
65	82.4	81.3	83.5	79.4	78.6	80.4
64	82.2	81.1	83.3	79.1	78.3	80.1
63	81.9	80.8	83.1	78.8	77.9	79.8
62	81.6	80.5	82.9	78.6	77.6	79.6
61	81.4	80.2	82.7	78.3	77.3	79.4
60	81.2	79.9	82.5	78	77	79.1
59	80.9	79.6	82.3	77.8	76.8	78.9
58	80.7	79.4	82.2	77.6	76.5	78.8
57	80.5	79.1	82	77.4	76.2	78.6
56	80.3	78.9	81.8	77.1	76	78.4
55	80.1	78.7	81.7	76.9	75.7	78.2
54	80	78.5	81.5	76.7	75.5	78
53	79.8	78.3	81.4	76.5	75.2	77.9
52	79.7	78.1	81.3	76.3	75	77.7
51	79.5	78	81.1	76.1	74.8	77.5
50	79.4	77.8	81	76	74.6	77.4
49	79.2	77.7	80.9	75.8	74.4	77.3
48	79.1	77.6	80.8	75.6	74.2	77.1
47	79	77.4	80.7	75.5	74	77
46	78.9	77.3	80.6	75.3	73.8	76.9
45	78.8	77.3	80.5	75.2	73.6	76.8
44	78.8	77.2	80.5	75	73.5	76.6
43	78.7	77.1	80.4	74.9	73.3	76.5
42	78.6	77	80.3	74.7	73.1	76.4
41	78.5	77	80.2	74.6	73	76.3
40	78.5	76.9	80.2	74.5	72.8	76.2
39	78.4	76.8	80.1	74.3	72.6	76.1
38	78.4	76.8	80.1	74.2	72.5	76
37	78.3	76.7	80	74.1	72.3	75.9
36	78.3	76.7	80	73.9	72.2	75.8
35	78.2	76.6	79.9	73.8	72	75.7
34	78.2	76.6	79.9	73.7	71.8	75.6
33	78.1	76.5	79.8	73.6	71.7	75.5
32	78.1	76.5	79.8	73.4	71.5	75.4
31	78	76.4	79.8	73.3	71.4	75.3
30	78	76.4	79.7	73.2	71.2	75.2
29	77.9	76.3	79.7	73.1	71.1	75.1
28	77.9	76.3	79.6	72.9	70.9	75
27	77.8	76.2	79.6	72.8	70.7	74.9
26	77.8	76.2	79.6	72.7	70.6	74.8
25	77.8	76.1	79.5	72.5	70.4	74.8
24	77.7	76.1	79.5	72.4	70.2	74.7
23	77.7	76	79.4	72.3	70.1	74.6
22	77.6	76	79.4	72.2	69.9	74.5
21	77.6	75.9	79.3	72	69.7	74.4
20	77.5	75.9	79.3	71.9	69.6	74.3
19	77.5	75.8	79.2	71.8	69.4	74.3
18	77.4	75.8	79.2	71.7	69.3	74.2
17	77.4	75.7	79.1	71.6	69.1	74.1
16	77.3	75.7	79.1	71.5	69	74
15	77.3	75.6	79	71.4	68.9	74
14	77.2	75.6	79	71.3	68.8	73.9
13	77.2	75.6	78.9	71.3	68.8	73.9
12	77.2	75.5	78.9	71.2	68.7	73.8
11	77.1	75.5	78.9	71.1	68.6	73.8
10	77.1	75.5	78.9	71	68.5	73.7
9	77.1	75.5	78.8	71	68.4	73.7
8	77.1	75.4	78.8	70.9	68.3	73.6
7	77	75.4	78.8	70.7	68.1	73.5
6	77	75.3	78.7	70.6	67.9	73.4
5	76.9	75.3	78.6	70.4	67.7	73.3
4	76.9	75.2	78.6	70.2	67.5	73.1
3	76.8	75.2	78.5	70	67.2	72.9
2	76.8	75.2	78.5	69.7	66.9	72.7
1	76.6	75	78.3	69.4	66.6	72.4
0	75.5	73.8	77.2	66.9	63.8	70.2

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 73.2 in Sudan, rising to 82.4 and 79.4 at 65, and to 88.1 and 86.2 at 80 — higher than the 75.5 and 66.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Sudan

Male

Female

1x

Age	Survival probability
	Bangladesh			Sudan
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.15%	0.06%	0.26%
99	1.37%	0.63%	2.15%	0.25%	0.11%	0.42%
98	2.06%	1.05%	3.16%	0.4%	0.19%	0.67%
97	2.99%	1.63%	4.44%	0.63%	0.32%	1.02%
96	4.16%	2.43%	6.03%	0.95%	0.51%	1.52%
95	5.6%	3.46%	7.92%	1.4%	0.8%	2.2%
94	7.32%	4.75%	10.1%	2%	1.2%	3.07%
93	9.32%	6.3%	12.6%	2.79%	1.76%	4.16%
92	11.6%	8.13%	15.3%	3.77%	2.5%	5.48%
91	14.1%	10.2%	18.3%	4.99%	3.45%	7.06%
90	16.8%	12.6%	21.4%	6.45%	4.62%	8.9%
89	19.8%	15.2%	24.7%	8.15%	6.02%	11%
88	22.9%	18%	28.1%	10.1%	7.64%	13.4%
87	26.1%	21%	31.6%	12.3%	9.47%	16%
86	29.4%	24.1%	35%	14.7%	11.5%	18.9%
85	32.7%	27.4%	38.5%	17.4%	13.7%	22%
84	36.1%	30.7%	41.9%	20.2%	16.2%	25.3%
83	39.4%	34%	45.2%	23.1%	18.7%	28.6%
82	42.7%	37.3%	48.5%	26.2%	21.4%	32.1%
81	45.9%	40.5%	51.7%	29.3%	24.2%	35.5%
80	49%	43.7%	54.7%	32.5%	27.1%	38.9%
79	52%	46.8%	57.6%	35.6%	29.9%	42.2%
78	54.9%	49.9%	60.3%	38.7%	32.8%	45.5%
77	57.7%	52.9%	62.9%	41.8%	35.7%	48.6%
76	60.4%	55.7%	65.3%	44.7%	38.5%	51.6%
75	62.9%	58.5%	67.6%	47.6%	41.2%	54.4%
74	65.2%	61.1%	69.8%	50.3%	43.9%	57.2%
73	67.5%	63.5%	71.8%	52.9%	46.4%	59.7%
72	69.6%	65.8%	73.6%	55.4%	48.9%	62.2%
71	71.5%	68%	75.4%	57.7%	51.2%	64.4%
70	73.4%	69.9%	77%	59.9%	53.5%	66.5%
69	75.1%	71.8%	78.6%	62%	55.6%	68.5%
68	76.6%	73.4%	80%	63.9%	57.6%	70.3%
67	78.1%	75%	81.4%	65.7%	59.5%	71.9%
66	79.5%	76.4%	82.6%	67.4%	61.3%	73.5%
65	80.7%	77.8%	83.8%	69%	63%	74.9%
64	81.9%	79.2%	84.8%	70.4%	64.6%	76.2%
63	83.1%	80.5%	85.8%	71.8%	66.1%	77.4%
62	84.2%	81.8%	86.6%	73.1%	67.5%	78.5%
61	85.2%	83%	87.4%	74.2%	68.8%	79.5%
60	86.2%	84.2%	88.1%	75.3%	70%	80.4%
59	87.1%	85.4%	88.8%	76.2%	71.2%	81.3%
58	87.9%	86.4%	89.4%	77.1%	72.2%	82%
57	88.7%	87.4%	90%	78%	73.2%	82.7%
56	89.4%	88.3%	90.5%	78.8%	74.1%	83.4%
55	90.1%	89.1%	91%	79.6%	75%	84.1%
54	90.7%	89.8%	91.5%	80.3%	75.9%	84.7%
53	91.3%	90.5%	92%	81%	76.8%	85.3%
52	91.8%	91.1%	92.4%	81.7%	77.6%	85.9%
51	92.3%	91.7%	92.8%	82.3%	78.3%	86.4%
50	92.7%	92.2%	93.2%	82.9%	79%	86.8%
49	93.1%	92.6%	93.5%	83.4%	79.6%	87.3%
48	93.4%	93%	93.8%	83.9%	80.2%	87.7%
47	93.8%	93.4%	94.1%	84.4%	80.8%	88.1%
46	94%	93.7%	94.3%	84.8%	81.3%	88.4%
45	94.3%	94%	94.5%	85.3%	81.8%	88.8%
44	94.5%	94.2%	94.7%	85.7%	82.3%	89.1%
43	94.7%	94.4%	94.9%	86.1%	82.8%	89.4%
42	94.9%	94.6%	95.1%	86.5%	83.3%	89.7%
41	95.1%	94.8%	95.3%	86.8%	83.7%	90%
40	95.2%	95%	95.5%	87.2%	84.1%	90.3%
39	95.4%	95.1%	95.6%	87.5%	84.6%	90.6%
38	95.5%	95.3%	95.7%	87.8%	84.9%	90.8%
37	95.6%	95.4%	95.8%	88.1%	85.3%	91.1%
36	95.7%	95.5%	95.9%	88.4%	85.7%	91.3%
35	95.9%	95.6%	96%	88.7%	86.1%	91.5%
34	96%	95.8%	96.1%	89%	86.4%	91.7%
33	96.1%	95.9%	96.2%	89.3%	86.8%	91.9%
32	96.2%	96%	96.3%	89.6%	87.1%	92.1%
31	96.3%	96.1%	96.4%	89.8%	87.5%	92.3%
30	96.3%	96.2%	96.5%	90.1%	87.8%	92.5%
29	96.4%	96.3%	96.5%	90.4%	88.1%	92.7%
28	96.5%	96.4%	96.6%	90.6%	88.5%	92.9%
27	96.6%	96.5%	96.7%	90.9%	88.8%	93%
26	96.7%	96.6%	96.8%	91.1%	89.1%	93.2%
25	96.7%	96.7%	96.8%	91.4%	89.4%	93.4%
24	96.8%	96.7%	96.9%	91.6%	89.8%	93.5%
23	96.9%	96.8%	97%	91.9%	90.1%	93.7%
22	97%	96.9%	97%	92.1%	90.4%	93.9%
21	97%	97%	97.1%	92.3%	90.8%	94%
20	97.1%	97.1%	97.2%	92.6%	91.1%	94.1%
19	97.2%	97.2%	97.3%	92.8%	91.3%	94.3%
18	97.3%	97.3%	97.4%	93%	91.6%	94.4%
17	97.4%	97.4%	97.5%	93.1%	91.8%	94.5%
16	97.5%	97.4%	97.6%	93.3%	92%	94.6%
15	97.6%	97.5%	97.6%	93.4%	92.2%	94.7%
14	97.6%	97.6%	97.7%	93.5%	92.3%	94.8%
13	97.7%	97.6%	97.8%	93.7%	92.5%	94.9%
12	97.7%	97.7%	97.8%	93.8%	92.6%	95%
11	97.8%	97.7%	97.8%	93.9%	92.8%	95%
10	97.8%	97.8%	97.9%	94%	92.9%	95.1%
9	97.9%	97.8%	97.9%	94.1%	93.1%	95.2%
8	97.9%	97.8%	98%	94.3%	93.3%	95.3%
7	98%	97.9%	98%	94.4%	93.5%	95.4%
6	98%	97.9%	98.1%	94.7%	93.8%	95.6%
5	98.1%	98%	98.2%	94.9%	94.1%	95.7%
4	98.2%	98.1%	98.3%	95.2%	94.4%	95.9%
3	98.2%	98.1%	98.3%	95.5%	94.8%	96.2%
2	98.3%	98.2%	98.4%	95.9%	95.3%	96.6%
1	98.5%	98.4%	98.6%	96.4%	95.8%	97%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 75.3% in Sudan are expected to live past 60, 73.4% and 59.9% past 70, 49% and 32.5% past 80, and only 16.8% and 6.45% 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

Sudan

Male

Female

1x

Age	Probability of dying
	Bangladesh			Sudan
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	41.9%	45.5%	41%
99	36.9%	43.4%	35%	39.9%	43.5%	38.8%
98	33.8%	39.5%	31.9%	38%	41.5%	36.9%
97	30.9%	36%	29%	36.1%	39.5%	34.9%
96	28.2%	32.7%	26.3%	34.1%	37.5%	32.8%
95	25.7%	29.8%	23.8%	32.1%	35.6%	30.6%
94	23.5%	27.1%	21.6%	30.1%	33.6%	28.4%
93	21.4%	24.7%	19.6%	28.1%	31.7%	26.2%
92	19.5%	22.5%	17.9%	26.2%	29.6%	24.2%
91	17.8%	20.5%	16.2%	24.4%	27.5%	22.4%
90	16.3%	18.7%	14.7%	22.6%	25.4%	20.7%
89	14.8%	17.1%	13.3%	20.9%	23.2%	19.2%
88	13.5%	15.6%	12.1%	19.3%	21.2%	17.8%
87	12.3%	14.3%	10.9%	17.8%	19.4%	16.5%
86	11.2%	13%	9.89%	16.5%	17.7%	15.2%
85	10.2%	11.9%	8.97%	15.2%	16.3%	14%
84	9.3%	10.8%	8.14%	13.9%	14.9%	12.9%
83	8.45%	9.74%	7.4%	12.8%	13.7%	11.8%
82	7.68%	8.82%	6.72%	11.7%	12.6%	10.7%
81	6.98%	8.01%	6.1%	10.7%	11.5%	9.68%
80	6.36%	7.29%	5.53%	9.71%	10.5%	8.74%
79	5.8%	6.68%	5.02%	8.82%	9.61%	7.88%
78	5.29%	6.12%	4.54%	8%	8.76%	7.11%
77	4.82%	5.61%	4.11%	7.27%	7.98%	6.42%
76	4.39%	5.14%	3.73%	6.6%	7.27%	5.81%
75	3.99%	4.69%	3.37%	5.99%	6.64%	5.26%
74	3.64%	4.27%	3.06%	5.44%	6.05%	4.77%
73	3.32%	3.87%	2.78%	4.94%	5.52%	4.31%
72	3.02%	3.49%	2.54%	4.48%	5.03%	3.89%
71	2.74%	3.15%	2.32%	4.05%	4.58%	3.51%
70	2.49%	2.82%	2.13%	3.66%	4.17%	3.16%
69	2.26%	2.53%	1.96%	3.32%	3.81%	2.84%
68	2.05%	2.28%	1.81%	3.01%	3.48%	2.56%
67	1.87%	2.07%	1.66%	2.74%	3.2%	2.31%
66	1.72%	1.9%	1.52%	2.5%	2.94%	2.1%
65	1.58%	1.78%	1.38%	2.29%	2.71%	1.9%
64	1.47%	1.69%	1.24%	2.09%	2.5%	1.72%
63	1.38%	1.63%	1.11%	1.9%	2.29%	1.56%
62	1.29%	1.57%	0.99%	1.72%	2.09%	1.4%
61	1.21%	1.51%	0.89%	1.56%	1.9%	1.26%
60	1.12%	1.43%	0.81%	1.41%	1.72%	1.13%
59	1.04%	1.33%	0.74%	1.28%	1.57%	1.03%
58	0.96%	1.23%	0.69%	1.17%	1.45%	0.94%
57	0.88%	1.12%	0.64%	1.09%	1.35%	0.87%
56	0.8%	1.01%	0.6%	1.03%	1.27%	0.82%
55	0.74%	0.91%	0.57%	0.98%	1.21%	0.78%
54	0.68%	0.83%	0.54%	0.93%	1.15%	0.74%
53	0.62%	0.75%	0.5%	0.88%	1.1%	0.69%
52	0.57%	0.68%	0.47%	0.82%	1.03%	0.65%
51	0.52%	0.61%	0.44%	0.76%	0.95%	0.6%
50	0.47%	0.55%	0.4%	0.69%	0.88%	0.55%
49	0.42%	0.48%	0.36%	0.64%	0.81%	0.5%
48	0.37%	0.43%	0.32%	0.59%	0.74%	0.46%
47	0.33%	0.37%	0.28%	0.55%	0.69%	0.43%
46	0.29%	0.33%	0.25%	0.52%	0.65%	0.41%
45	0.26%	0.29%	0.23%	0.5%	0.62%	0.39%
44	0.23%	0.26%	0.21%	0.48%	0.6%	0.38%
43	0.22%	0.23%	0.2%	0.47%	0.58%	0.37%
42	0.2%	0.21%	0.19%	0.45%	0.56%	0.35%
41	0.19%	0.19%	0.18%	0.43%	0.53%	0.33%
40	0.17%	0.18%	0.17%	0.4%	0.51%	0.31%
39	0.16%	0.16%	0.15%	0.38%	0.48%	0.29%
38	0.14%	0.15%	0.14%	0.36%	0.46%	0.27%
37	0.13%	0.14%	0.12%	0.34%	0.44%	0.25%
36	0.12%	0.13%	0.11%	0.33%	0.43%	0.24%
35	0.11%	0.13%	0.1%	0.32%	0.42%	0.23%
34	0.11%	0.12%	0.09%	0.32%	0.41%	0.22%
33	0.1%	0.12%	0.09%	0.31%	0.41%	0.22%
32	0.1%	0.12%	0.09%	0.31%	0.4%	0.22%
31	0.1%	0.12%	0.09%	0.3%	0.39%	0.21%
30	0.1%	0.11%	0.09%	0.3%	0.39%	0.21%
29	0.09%	0.11%	0.08%	0.29%	0.38%	0.2%
28	0.09%	0.1%	0.08%	0.29%	0.37%	0.2%
27	0.08%	0.09%	0.07%	0.28%	0.37%	0.19%
26	0.08%	0.08%	0.07%	0.28%	0.37%	0.19%
25	0.07%	0.08%	0.07%	0.27%	0.37%	0.18%
24	0.07%	0.08%	0.07%	0.27%	0.37%	0.17%
23	0.08%	0.08%	0.07%	0.27%	0.37%	0.17%
22	0.08%	0.08%	0.07%	0.26%	0.36%	0.16%
21	0.08%	0.09%	0.08%	0.25%	0.35%	0.16%
20	0.09%	0.09%	0.09%	0.24%	0.33%	0.15%
19	0.09%	0.1%	0.09%	0.22%	0.31%	0.14%
18	0.1%	0.1%	0.09%	0.2%	0.28%	0.13%
17	0.09%	0.09%	0.09%	0.18%	0.24%	0.12%
16	0.09%	0.09%	0.09%	0.16%	0.21%	0.11%
15	0.08%	0.08%	0.08%	0.14%	0.19%	0.1%
14	0.07%	0.07%	0.07%	0.13%	0.17%	0.09%
13	0.06%	0.05%	0.06%	0.12%	0.15%	0.09%
12	0.05%	0.04%	0.05%	0.12%	0.15%	0.08%
11	0.04%	0.04%	0.04%	0.12%	0.15%	0.08%
10	0.04%	0.03%	0.04%	0.13%	0.16%	0.09%
9	0.04%	0.04%	0.04%	0.14%	0.19%	0.09%
8	0.05%	0.04%	0.05%	0.16%	0.21%	0.1%
7	0.06%	0.05%	0.06%	0.19%	0.25%	0.12%
6	0.07%	0.07%	0.07%	0.22%	0.29%	0.14%
5	0.08%	0.07%	0.08%	0.26%	0.33%	0.18%
4	0.07%	0.07%	0.08%	0.3%	0.38%	0.22%
3	0.06%	0.06%	0.07%	0.35%	0.42%	0.28%
2	0.07%	0.07%	0.07%	0.42%	0.47%	0.36%
1	0.18%	0.18%	0.17%	0.5%	0.53%	0.47%
0	1.53%	1.61%	1.44%	3.6%	4.2%	2.98%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 3.6% in Sudan, 0.1% vs 0.3% at age 30, 1.12% vs 1.41% at 60, and 6.36% vs 9.71% at 80.

Death rate by age in Bangladesh vs Sudan

Chart Table

Bangladesh

Male

Female

Sudan

Male

Female

1x

Age	Death rate
	Bangladesh			Sudan
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	6.5
99	504	274.2	753	99.1	49.5	163.3
98	698	414	1,006	152.5	80.6	246.2
97	924	588	1,288	226.5	126.7	358
96	1,175	796	1,587	325	192.5	500
95	1,440	1,030	1,887	449	283.5	672
94	1,718	1,287	2,186	602	404	870
93	1,995	1,557	2,471	783	557	1,090
92	2,264	1,828	2,735	988	741	1,327
91	2,514	2,095	2,969	1,215	949	1,579
90	2,738	2,353	3,155	1,457	1,171	1,842
89	2,932	2,596	3,297	1,706	1,398	2,113
88	3,093	2,815	3,394	1,954	1,621	2,383
87	3,217	3,003	3,447	2,195	1,836	2,644
86	3,301	3,148	3,465	2,423	2,041	2,883
85	3,347	3,247	3,451	2,630	2,234	3,090
84	3,355	3,299	3,412	2,811	2,412	3,253
83	3,331	3,310	3,348	2,959	2,569	3,365
82	3,279	3,289	3,261	3,065	2,697	3,425
81	3,205	3,246	3,153	3,131	2,793	3,435
80	3,114	3,189	3,027	3,154	2,852	3,399
79	3,015	3,128	2,889	3,141	2,878	3,328
78	2,903	3,054	2,742	3,099	2,874	3,232
77	2,781	2,966	2,589	3,034	2,846	3,120
76	2,649	2,862	2,434	2,950	2,799	2,997
75	2,510	2,740	2,281	2,850	2,734	2,865
74	2,374	2,605	2,137	2,737	2,655	2,725
73	2,238	2,458	1,998	2,613	2,562	2,576
72	2,099	2,301	1,868	2,479	2,458	2,420
71	1,961	2,138	1,748	2,338	2,346	2,259
70	1,826	1,974	1,638	2,196	2,230	2,099
69	1,697	1,817	1,540	2,056	2,115	1,944
68	1,574	1,674	1,445	1,924	2,006	1,798
67	1,463	1,551	1,351	1,801	1,902	1,664
66	1,364	1,452	1,255	1,687	1,804	1,541
65	1,278	1,382	1,154	1,578	1,709	1,425
64	1,206	1,339	1,052	1,471	1,613	1,314
63	1,143	1,310	953	1,365	1,513	1,206
62	1,085	1,285	861	1,258	1,409	1,101
61	1,028	1,253	781	1,155	1,305	1,002
60	968	1,203	714	1,059	1,206	912
59	906	1,138	659	974	1,118	833
58	841	1,059	615	905	1,045	770
57	778	975	577	850	987	721
56	718	892	545	809	944	683
55	664	814	516	776	909	653
54	615	743	490	745	877	624
53	570	679	464	710	841	593
52	526	618	437	669	798	556
51	482	560	406	623	747	515
50	437	503	371	575	694	473
49	391	448	334	530	641	434
48	347	396	296.7	492	596	402
47	307	349	263.5	462	559	377
46	272.6	308	235.8	441	531	360
45	244	272.8	214.7	426	510	349
44	221.8	243.8	200.3	414	494	340
43	204.5	219.6	190.2	402	479	330
42	190.1	199.2	181.9	388	464	317
41	177.1	181.7	173	371	446	300
40	164	166.5	161.7	353	428	281.3
39	149.7	153.1	146.8	334	409	261.7
38	135.6	141.5	130.4	318	393	243.8
37	123.1	132.1	115.1	304	380	229.2
36	112.9	124.8	102.4	293.8	370	218.1
35	105.6	119.7	93.2	286.9	363	210.5
34	101.3	116.7	87.9	282.3	358	205.4
33	99.2	115.2	85.6	278.8	354	201.9
32	98.3	114.1	85	275.5	350	199
31	97.4	112.5	84.9	271.7	344	196
30	95.3	109.1	84	267.3	339	192.5
29	90.9	103.1	81.1	262.8	334	188.5
28	85.2	95.6	76.8	258.5	330	183.9
27	79.3	88.1	72.3	254.9	327	178.7
26	74.5	81.9	68.5	252.1	327	173.3
25	71.7	78	66.4	249.9	328	167.7
24	71	76.7	66.2	247.9	330	162.3
23	73	78.2	68.4	245.2	330	156.9
22	76.9	81.7	72.4	240.7	326	151.5
21	81.9	86.3	77.8	233.5	317	145.7
20	87.2	90.9	83.5	222.6	302	139.3
19	91.1	93.9	88.3	208	280.3	132.1
18	92.8	94.5	91	190.2	253.6	123.8
17	91.4	92	90.8	170.7	224.4	114.5
16	86.6	86.2	87	151.6	196.1	105
15	78	77	79	134.6	171.3	96.1
14	66.5	65.4	67.8	121.3	152.6	88.5
13	54.3	53.3	55.5	112.7	141	83
12	44.1	43.2	45.1	109.2	137.1	80
11	37.7	36.8	38.7	111.1	141	79.7
10	34.4	33.5	35.3	118.4	152.6	82.6
9	36.2	35	37.5	131.6	172.2	89
8	44.9	42.8	47	150.7	199.4	99.7
7	56.8	53.6	60.1	175.6	232.9	115.6
6	67.8	63.8	72.1	206.4	271.3	138.3
5	74.1	69.7	78.7	243	313	170.1
4	71.7	67.9	75.7	286.4	356	213.6
3	61.4	58.9	63.9	338	402	272.2
2	70.1	68.9	71.4	401	450	350
1	172.9	175.4	170.2	480	505	454
0	1,530	1,613	1,443	3,597	4,196	2,975

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 0 in Sudan. The median age of death is 79.7 in Bangladesh and 74.1 in Sudan, 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 Sudan more than their death rates.

Life expectancy in other countries

+ -

1x