Life Expectancy in Bangladesh vs South Sudan (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			South Sudan
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.7	101.6	101.8
99	101.2	100.9	101.3	100.7	100.6	100.8
98	100.3	99.9	100.4	99.8	99.6	99.9
97	99.4	99.1	99.6	98.9	98.7	99
96	98.6	98.2	98.8	98.1	97.8	98.1
95	97.8	97.4	98	97.2	96.9	97.3
94	97	96.6	97.2	96.3	96	96.4
93	96.3	95.9	96.5	95.5	95.1	95.6
92	95.5	95.1	95.8	94.7	94.2	94.8
91	94.8	94.4	95.1	93.8	93.4	94
90	94.1	93.6	94.4	93	92.6	93.2
89	93.4	92.9	93.8	92.2	91.8	92.4
88	92.8	92.2	93.1	91.4	91	91.6
87	92.1	91.6	92.5	90.6	90.2	90.8
86	91.5	90.9	91.9	89.9	89.4	90.1
85	90.9	90.3	91.3	89.1	88.7	89.4
84	90.3	89.6	90.8	88.4	87.9	88.6
83	89.7	89	90.2	87.7	87.2	87.9
82	89.2	88.5	89.7	87	86.5	87.2
81	88.6	87.9	89.2	86.3	85.8	86.6
80	88.1	87.4	88.7	85.6	85.1	85.9
79	87.6	86.8	88.3	85	84.5	85.3
78	87.1	86.3	87.8	84.4	83.8	84.7
77	86.7	85.8	87.4	83.8	83.2	84.2
76	86.2	85.4	87	83.2	82.6	83.6
75	85.8	84.9	86.6	82.6	82	83.1
74	85.4	84.5	86.2	82.1	81.5	82.6
73	85	84	85.9	81.6	80.9	82.1
72	84.6	83.6	85.5	81.1	80.4	81.6
71	84.2	83.2	85.2	80.6	79.8	81.1
70	83.9	82.9	84.9	80.1	79.3	80.7
69	83.6	82.5	84.6	79.7	78.9	80.2
68	83.3	82.2	84.3	79.2	78.4	79.8
67	83	81.9	84	78.8	77.9	79.5
66	82.7	81.6	83.8	78.4	77.5	79.1
65	82.4	81.3	83.5	78	77.1	78.7
64	82.2	81.1	83.3	77.6	76.7	78.4
63	81.9	80.8	83.1	77.3	76.3	78.1
62	81.6	80.5	82.9	76.9	75.9	77.8
61	81.4	80.2	82.7	76.6	75.5	77.5
60	81.2	79.9	82.5	76.3	75.1	77.2
59	80.9	79.6	82.3	76	74.8	76.9
58	80.7	79.4	82.2	75.7	74.5	76.7
57	80.5	79.1	82	75.4	74.1	76.4
56	80.3	78.9	81.8	75.1	73.8	76.2
55	80.1	78.7	81.7	74.8	73.5	76
54	80	78.5	81.5	74.5	73.2	75.7
53	79.8	78.3	81.4	74.3	72.9	75.5
52	79.7	78.1	81.3	74	72.6	75.3
51	79.5	78	81.1	73.8	72.3	75.1
50	79.4	77.8	81	73.5	72	74.8
49	79.2	77.7	80.9	73.3	71.7	74.6
48	79.1	77.6	80.8	73	71.4	74.4
47	79	77.4	80.7	72.8	71.2	74.3
46	78.9	77.3	80.6	72.6	70.9	74.1
45	78.8	77.3	80.5	72.4	70.6	73.9
44	78.8	77.2	80.5	72.1	70.4	73.7
43	78.7	77.1	80.4	71.9	70.1	73.5
42	78.6	77	80.3	71.7	69.9	73.3
41	78.5	77	80.2	71.5	69.6	73.1
40	78.5	76.9	80.2	71.2	69.4	72.9
39	78.4	76.8	80.1	71	69.1	72.7
38	78.4	76.8	80.1	70.8	68.9	72.5
37	78.3	76.7	80	70.6	68.6	72.4
36	78.3	76.7	80	70.4	68.4	72.2
35	78.2	76.6	79.9	70.2	68.2	72
34	78.2	76.6	79.9	70	67.9	71.8
33	78.1	76.5	79.8	69.8	67.7	71.7
32	78.1	76.5	79.8	69.5	67.4	71.5
31	78	76.4	79.8	69.3	67.2	71.3
30	78	76.4	79.7	69.1	67	71.1
29	77.9	76.3	79.7	68.9	66.7	71
28	77.9	76.3	79.6	68.7	66.5	70.8
27	77.8	76.2	79.6	68.5	66.2	70.6
26	77.8	76.2	79.6	68.3	65.9	70.4
25	77.8	76.1	79.5	68	65.7	70.3
24	77.7	76.1	79.5	67.8	65.4	70.1
23	77.7	76	79.4	67.6	65.1	70
22	77.6	76	79.4	67.4	64.9	69.8
21	77.6	75.9	79.3	67.2	64.6	69.6
20	77.5	75.9	79.3	67	64.4	69.5
19	77.5	75.8	79.2	66.8	64.1	69.3
18	77.4	75.8	79.2	66.6	63.9	69.2
17	77.4	75.7	79.1	66.4	63.7	69
16	77.3	75.7	79.1	66.3	63.5	68.9
15	77.3	75.6	79	66.1	63.4	68.8
14	77.2	75.6	79	66	63.2	68.7
13	77.2	75.6	78.9	65.8	63.1	68.5
12	77.2	75.5	78.9	65.7	62.9	68.4
11	77.1	75.5	78.9	65.5	62.8	68.3
10	77.1	75.5	78.9	65.4	62.6	68.2
9	77.1	75.5	78.8	65.2	62.4	68
8	77.1	75.4	78.8	65	62.1	67.8
7	77	75.4	78.8	64.7	61.8	67.6
6	77	75.3	78.7	64.4	61.5	67.3
5	76.9	75.3	78.6	64	61.1	67
4	76.9	75.2	78.6	63.6	60.6	66.6
3	76.8	75.2	78.5	63.1	60.1	66.1
2	76.8	75.2	78.5	62.5	59.5	65.5
1	76.6	75	78.3	61.8	58.9	64.7
0	75.5	73.8	77.2	58	55	61

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 69.1 in South Sudan, rising to 82.4 and 78 at 65, and to 88.1 and 85.6 at 80 — higher than the 75.5 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Bangladesh			South Sudan
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.06%	0.02%	0.1%
99	1.37%	0.63%	2.15%	0.1%	0.03%	0.17%
98	2.06%	1.05%	3.16%	0.17%	0.05%	0.28%
97	2.99%	1.63%	4.44%	0.27%	0.1%	0.44%
96	4.16%	2.43%	6.03%	0.43%	0.16%	0.67%
95	5.6%	3.46%	7.92%	0.64%	0.27%	1%
94	7.32%	4.75%	10.1%	0.94%	0.44%	1.44%
93	9.32%	6.3%	12.6%	1.35%	0.67%	2.01%
92	11.6%	8.13%	15.3%	1.87%	1%	2.73%
91	14.1%	10.2%	18.3%	2.54%	1.45%	3.62%
90	16.8%	12.6%	21.4%	3.37%	2.03%	4.7%
89	19.8%	15.2%	24.7%	4.38%	2.76%	5.98%
88	22.9%	18%	28.1%	5.58%	3.65%	7.47%
87	26.1%	21%	31.6%	6.96%	4.7%	9.18%
86	29.4%	24.1%	35%	8.54%	5.92%	11.1%
85	32.7%	27.4%	38.5%	10.3%	7.31%	13.2%
84	36.1%	30.7%	41.9%	12.3%	8.88%	15.6%
83	39.4%	34%	45.2%	14.4%	10.6%	18%
82	42.7%	37.3%	48.5%	16.6%	12.5%	20.6%
81	45.9%	40.5%	51.7%	18.9%	14.5%	23.3%
80	49%	43.7%	54.7%	21.3%	16.6%	26.1%
79	52%	46.8%	57.6%	23.8%	18.8%	28.8%
78	54.9%	49.9%	60.3%	26.3%	21%	31.6%
77	57.7%	52.9%	62.9%	28.8%	23.3%	34.3%
76	60.4%	55.7%	65.3%	31.3%	25.6%	36.9%
75	62.9%	58.5%	67.6%	33.7%	27.9%	39.6%
74	65.2%	61.1%	69.8%	36.2%	30.2%	42.1%
73	67.5%	63.5%	71.8%	38.5%	32.5%	44.6%
72	69.6%	65.8%	73.6%	40.8%	34.7%	46.9%
71	71.5%	68%	75.4%	43%	36.9%	49.2%
70	73.4%	69.9%	77%	45.1%	39%	51.3%
69	75.1%	71.8%	78.6%	47.1%	41%	53.3%
68	76.6%	73.4%	80%	49.1%	42.9%	55.2%
67	78.1%	75%	81.4%	50.9%	44.8%	57%
66	79.5%	76.4%	82.6%	52.6%	46.6%	58.7%
65	80.7%	77.8%	83.8%	54.2%	48.3%	60.2%
64	81.9%	79.2%	84.8%	55.8%	49.9%	61.7%
63	83.1%	80.5%	85.8%	57.3%	51.5%	63.1%
62	84.2%	81.8%	86.6%	58.6%	53%	64.3%
61	85.2%	83%	87.4%	59.9%	54.4%	65.5%
60	86.2%	84.2%	88.1%	61.1%	55.7%	66.6%
59	87.1%	85.4%	88.8%	62.3%	57%	67.6%
58	87.9%	86.4%	89.4%	63.3%	58.2%	68.6%
57	88.7%	87.4%	90%	64.4%	59.3%	69.5%
56	89.4%	88.3%	90.5%	65.3%	60.4%	70.3%
55	90.1%	89.1%	91%	66.3%	61.5%	71.1%
54	90.7%	89.8%	91.5%	67.2%	62.5%	71.9%
53	91.3%	90.5%	92%	68%	63.5%	72.7%
52	91.8%	91.1%	92.4%	68.9%	64.5%	73.4%
51	92.3%	91.7%	92.8%	69.7%	65.4%	74%
50	92.7%	92.2%	93.2%	70.4%	66.3%	74.7%
49	93.1%	92.6%	93.5%	71.1%	67.1%	75.3%
48	93.4%	93%	93.8%	71.8%	67.9%	75.8%
47	93.8%	93.4%	94.1%	72.5%	68.6%	76.4%
46	94%	93.7%	94.3%	73.1%	69.4%	76.9%
45	94.3%	94%	94.5%	73.7%	70.1%	77.4%
44	94.5%	94.2%	94.7%	74.3%	70.8%	77.9%
43	94.7%	94.4%	94.9%	74.9%	71.5%	78.4%
42	94.9%	94.6%	95.1%	75.5%	72.1%	78.9%
41	95.1%	94.8%	95.3%	76.1%	72.8%	79.4%
40	95.2%	95%	95.5%	76.6%	73.4%	79.9%
39	95.4%	95.1%	95.6%	77.1%	74%	80.3%
38	95.5%	95.3%	95.7%	77.6%	74.6%	80.8%
37	95.6%	95.4%	95.8%	78.1%	75.2%	81.2%
36	95.7%	95.5%	95.9%	78.6%	75.8%	81.6%
35	95.9%	95.6%	96%	79.1%	76.3%	82%
34	96%	95.8%	96.1%	79.6%	76.9%	82.4%
33	96.1%	95.9%	96.2%	80%	77.4%	82.7%
32	96.2%	96%	96.3%	80.5%	77.9%	83.1%
31	96.3%	96.1%	96.4%	80.9%	78.5%	83.5%
30	96.3%	96.2%	96.5%	81.4%	79%	83.8%
29	96.4%	96.3%	96.5%	81.8%	79.5%	84.2%
28	96.5%	96.4%	96.6%	82.2%	80.1%	84.5%
27	96.6%	96.5%	96.7%	82.7%	80.6%	84.9%
26	96.7%	96.6%	96.8%	83.1%	81.1%	85.2%
25	96.7%	96.7%	96.8%	83.5%	81.6%	85.5%
24	96.8%	96.7%	96.9%	84%	82.2%	85.8%
23	96.9%	96.8%	97%	84.4%	82.7%	86.1%
22	97%	96.9%	97%	84.8%	83.2%	86.4%
21	97%	97%	97.1%	85.2%	83.7%	86.7%
20	97.1%	97.1%	97.2%	85.6%	84.2%	87%
19	97.2%	97.2%	97.3%	85.9%	84.7%	87.2%
18	97.3%	97.3%	97.4%	86.2%	85.1%	87.5%
17	97.4%	97.4%	97.5%	86.5%	85.4%	87.7%
16	97.5%	97.4%	97.6%	86.8%	85.7%	87.9%
15	97.6%	97.5%	97.6%	87.1%	86%	88.2%
14	97.6%	97.6%	97.7%	87.3%	86.3%	88.4%
13	97.7%	97.6%	97.8%	87.5%	86.6%	88.5%
12	97.7%	97.7%	97.8%	87.8%	86.8%	88.7%
11	97.8%	97.7%	97.8%	88%	87.1%	88.9%
10	97.8%	97.8%	97.9%	88.3%	87.4%	89.1%
9	97.9%	97.8%	97.9%	88.6%	87.8%	89.4%
8	97.9%	97.8%	98%	88.9%	88.2%	89.7%
7	98%	97.9%	98%	89.3%	88.6%	90%
6	98%	97.9%	98.1%	89.8%	89.2%	90.4%
5	98.1%	98%	98.2%	90.3%	89.8%	90.9%
4	98.2%	98.1%	98.3%	91%	90.6%	91.5%
3	98.2%	98.1%	98.3%	91.8%	91.4%	92.2%
2	98.3%	98.2%	98.4%	92.7%	92.3%	93.1%
1	98.5%	98.4%	98.6%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 61.1% in South Sudan are expected to live past 60, 73.4% and 45.1% past 70, 49% and 21.3% past 80, and only 16.8% and 3.37% 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

South Sudan

Male

Female

1x

Age	Probability of dying
	Bangladesh			South Sudan
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	45.7%	49.1%	43.1%
99	36.9%	43.4%	35%	43.7%	47.1%	41%
98	33.8%	39.5%	31.9%	40.5%	45.5%	39.1%
97	30.9%	36%	29%	37.7%	43.8%	37.1%
96	28.2%	32.7%	26.3%	35.6%	41.9%	35%
95	25.7%	29.8%	23.8%	33.8%	39.8%	32.8%
94	23.5%	27.1%	21.6%	31.9%	37.5%	30.6%
93	21.4%	24.7%	19.6%	30%	35.2%	28.4%
92	19.5%	22.5%	17.9%	28.1%	33%	26.4%
91	17.8%	20.5%	16.2%	26.3%	30.8%	24.6%
90	16.3%	18.7%	14.7%	24.6%	28.6%	22.9%
89	14.8%	17.1%	13.3%	23%	26.4%	21.4%
88	13.5%	15.6%	12.1%	21.4%	24.3%	20%
87	12.3%	14.3%	10.9%	19.9%	22.4%	18.6%
86	11.2%	13%	9.89%	18.5%	20.6%	17.4%
85	10.2%	11.9%	8.97%	17.1%	19%	16.1%
84	9.3%	10.8%	8.14%	15.9%	17.6%	14.9%
83	8.45%	9.74%	7.4%	14.6%	16.3%	13.7%
82	7.68%	8.82%	6.72%	13.5%	15%	12.6%
81	6.98%	8.01%	6.1%	12.4%	13.8%	11.5%
80	6.36%	7.29%	5.53%	11.3%	12.7%	10.5%
79	5.8%	6.68%	5.02%	10.4%	11.7%	9.54%
78	5.29%	6.12%	4.54%	9.47%	10.7%	8.69%
77	4.82%	5.61%	4.11%	8.67%	9.8%	7.92%
76	4.39%	5.14%	3.73%	7.94%	9%	7.23%
75	3.99%	4.69%	3.37%	7.29%	8.28%	6.61%
74	3.64%	4.27%	3.06%	6.69%	7.61%	6.05%
73	3.32%	3.87%	2.78%	6.14%	6.99%	5.52%
72	3.02%	3.49%	2.54%	5.62%	6.41%	5.03%
71	2.74%	3.15%	2.32%	5.13%	5.87%	4.58%
70	2.49%	2.82%	2.13%	4.68%	5.37%	4.16%
69	2.26%	2.53%	1.96%	4.26%	4.91%	3.77%
68	2.05%	2.28%	1.81%	3.9%	4.5%	3.43%
67	1.87%	2.07%	1.66%	3.57%	4.14%	3.12%
66	1.72%	1.9%	1.52%	3.28%	3.83%	2.84%
65	1.58%	1.78%	1.38%	3.02%	3.54%	2.6%
64	1.47%	1.69%	1.24%	2.78%	3.28%	2.37%
63	1.38%	1.63%	1.11%	2.56%	3.04%	2.17%
62	1.29%	1.57%	0.99%	2.35%	2.81%	1.97%
61	1.21%	1.51%	0.89%	2.16%	2.59%	1.8%
60	1.12%	1.43%	0.81%	1.98%	2.39%	1.64%
59	1.04%	1.33%	0.74%	1.82%	2.21%	1.5%
58	0.96%	1.23%	0.69%	1.69%	2.06%	1.39%
57	0.88%	1.12%	0.64%	1.58%	1.93%	1.29%
56	0.8%	1.01%	0.6%	1.49%	1.82%	1.21%
55	0.74%	0.91%	0.57%	1.42%	1.73%	1.15%
54	0.68%	0.83%	0.54%	1.35%	1.65%	1.09%
53	0.62%	0.75%	0.5%	1.28%	1.57%	1.03%
52	0.57%	0.68%	0.47%	1.21%	1.49%	0.97%
51	0.52%	0.61%	0.44%	1.14%	1.41%	0.91%
50	0.47%	0.55%	0.4%	1.07%	1.32%	0.85%
49	0.42%	0.48%	0.36%	1%	1.24%	0.79%
48	0.37%	0.43%	0.32%	0.95%	1.17%	0.75%
47	0.33%	0.37%	0.28%	0.9%	1.11%	0.71%
46	0.29%	0.33%	0.25%	0.86%	1.06%	0.69%
45	0.26%	0.29%	0.23%	0.84%	1.02%	0.67%
44	0.23%	0.26%	0.21%	0.81%	0.99%	0.66%
43	0.22%	0.23%	0.2%	0.79%	0.96%	0.64%
42	0.2%	0.21%	0.19%	0.77%	0.92%	0.63%
41	0.19%	0.19%	0.18%	0.74%	0.89%	0.61%
40	0.17%	0.18%	0.17%	0.71%	0.85%	0.58%
39	0.16%	0.16%	0.15%	0.68%	0.82%	0.56%
38	0.14%	0.15%	0.14%	0.65%	0.79%	0.53%
37	0.13%	0.14%	0.12%	0.63%	0.76%	0.51%
36	0.12%	0.13%	0.11%	0.61%	0.74%	0.49%
35	0.11%	0.13%	0.1%	0.6%	0.73%	0.48%
34	0.11%	0.12%	0.09%	0.59%	0.71%	0.47%
33	0.1%	0.12%	0.09%	0.58%	0.7%	0.46%
32	0.1%	0.12%	0.09%	0.57%	0.69%	0.45%
31	0.1%	0.12%	0.09%	0.56%	0.68%	0.44%
30	0.1%	0.11%	0.09%	0.55%	0.67%	0.43%
29	0.09%	0.11%	0.08%	0.54%	0.66%	0.42%
28	0.09%	0.1%	0.08%	0.53%	0.65%	0.41%
27	0.08%	0.09%	0.07%	0.52%	0.65%	0.39%
26	0.08%	0.08%	0.07%	0.52%	0.65%	0.38%
25	0.07%	0.08%	0.07%	0.51%	0.65%	0.37%
24	0.07%	0.08%	0.07%	0.51%	0.65%	0.36%
23	0.08%	0.08%	0.07%	0.5%	0.65%	0.35%
22	0.08%	0.08%	0.07%	0.49%	0.63%	0.34%
21	0.08%	0.09%	0.08%	0.47%	0.61%	0.33%
20	0.09%	0.09%	0.09%	0.44%	0.57%	0.32%
19	0.09%	0.1%	0.09%	0.41%	0.52%	0.3%
18	0.1%	0.1%	0.09%	0.38%	0.47%	0.29%
17	0.09%	0.09%	0.09%	0.35%	0.42%	0.27%
16	0.09%	0.09%	0.09%	0.32%	0.37%	0.26%
15	0.08%	0.08%	0.08%	0.29%	0.34%	0.24%
14	0.07%	0.07%	0.07%	0.27%	0.31%	0.22%
13	0.06%	0.05%	0.06%	0.26%	0.3%	0.22%
12	0.05%	0.04%	0.05%	0.26%	0.3%	0.22%
11	0.04%	0.04%	0.04%	0.27%	0.32%	0.22%
10	0.04%	0.03%	0.04%	0.3%	0.35%	0.24%
9	0.04%	0.04%	0.04%	0.34%	0.4%	0.27%
8	0.05%	0.04%	0.05%	0.39%	0.47%	0.31%
7	0.06%	0.05%	0.06%	0.45%	0.54%	0.36%
6	0.07%	0.07%	0.07%	0.53%	0.63%	0.43%
5	0.08%	0.07%	0.08%	0.62%	0.71%	0.53%
4	0.07%	0.07%	0.08%	0.73%	0.8%	0.65%
3	0.06%	0.06%	0.07%	0.85%	0.9%	0.8%
2	0.07%	0.07%	0.07%	0.99%	0.99%	0.98%
1	0.18%	0.18%	0.17%	1.16%	1.1%	1.22%
0	1.53%	1.61%	1.44%	6.22%	6.67%	5.75%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 6.22% in South Sudan, 0.1% vs 0.55% at age 30, 1.12% vs 1.98% at 60, and 6.36% vs 11.3% at 80.

Death rate by age in Bangladesh vs South Sudan

Chart Table

Bangladesh

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Bangladesh			South Sudan
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	0
99	504	274.2	753	44.4	13.7	68.6
98	698	414	1,006	69.1	24.4	107.5
97	924	588	1,288	103.4	41.7	162.1
96	1,175	796	1,587	151.7	68.7	235
95	1,440	1,030	1,887	217.2	108.2	328
94	1,718	1,287	2,186	301	163.5	440
93	1,995	1,557	2,471	404	237	571
92	2,264	1,828	2,735	527	331	722
91	2,514	2,095	2,969	670	447	890
90	2,738	2,353	3,155	831	582	1,077
89	2,932	2,596	3,297	1,007	729	1,279
88	3,093	2,815	3,394	1,193	887	1,492
87	3,217	3,003	3,447	1,386	1,052	1,712
86	3,301	3,148	3,465	1,579	1,221	1,929
85	3,347	3,247	3,451	1,767	1,392	2,135
84	3,355	3,299	3,412	1,944	1,562	2,321
83	3,331	3,310	3,348	2,103	1,725	2,478
82	3,279	3,289	3,261	2,237	1,874	2,600
81	3,205	3,246	3,153	2,342	2,003	2,685
80	3,114	3,189	3,027	2,417	2,108	2,734
79	3,015	3,128	2,889	2,465	2,188	2,750
78	2,903	3,054	2,742	2,490	2,246	2,742
77	2,781	2,966	2,589	2,497	2,284	2,714
76	2,649	2,862	2,434	2,485	2,305	2,672
75	2,510	2,740	2,281	2,459	2,311	2,615
74	2,374	2,605	2,137	2,419	2,300	2,546
73	2,238	2,458	1,998	2,364	2,272	2,461
72	2,099	2,301	1,868	2,292	2,226	2,363
71	1,961	2,138	1,748	2,207	2,164	2,252
70	1,826	1,974	1,638	2,111	2,091	2,133
69	1,697	1,817	1,540	2,011	2,013	2,011
68	1,574	1,674	1,445	1,911	1,933	1,891
67	1,463	1,551	1,351	1,815	1,855	1,777
66	1,364	1,452	1,255	1,724	1,782	1,668
65	1,278	1,382	1,154	1,636	1,710	1,565
64	1,206	1,339	1,052	1,551	1,639	1,464
63	1,143	1,310	953	1,465	1,565	1,366
62	1,085	1,285	861	1,378	1,488	1,270
61	1,028	1,253	781	1,292	1,409	1,178
60	968	1,203	714	1,210	1,332	1,092
59	906	1,138	659	1,136	1,260	1,015
58	841	1,059	615	1,072	1,197	950
57	778	975	577	1,018	1,145	896
56	718	892	545	976	1,102	853
55	664	814	516	939	1,066	816
54	615	743	490	906	1,033	782
53	570	679	464	872	999	748
52	526	618	437	835	961	711
51	482	560	406	795	919	672
50	437	503	371	753	875	633
49	391	448	334	713	832	596
48	347	396	296.7	679	794	566
47	307	349	263.5	651	762	543
46	272.6	308	235.8	631	737	528
45	244	272.8	214.7	616	717	519
44	221.8	243.8	200.3	604	700	512
43	204.5	219.6	190.2	593	685	506
42	190.1	199.2	181.9	580	667	496
41	177.1	181.7	173	564	648	483
40	164	166.5	161.7	545	628	467
39	149.7	153.1	146.8	526	608	449
38	135.6	141.5	130.4	508	590	431
37	123.1	132.1	115.1	493	575	415
36	112.9	124.8	102.4	481	563	402
35	105.6	119.7	93.2	473	555	392
34	101.3	116.7	87.9	466	549	384
33	99.2	115.2	85.6	461	544	377
32	98.3	114.1	85	456	538	372
31	97.4	112.5	84.9	451	533	366
30	95.3	109.1	84	446	527	359
29	90.9	103.1	81.1	440	523	352
28	85.2	95.6	76.8	436	522	344
27	79.3	88.1	72.3	432	523	335
26	74.5	81.9	68.5	429	527	325
25	71.7	78	66.4	427	532	316
24	71	76.7	66.2	424	536	307
23	73	78.2	68.4	420	535	298.4
22	76.9	81.7	72.4	412	527	290.7
21	81.9	86.3	77.8	398	508	283.3
20	87.2	90.9	83.5	379	478	275.1
19	91.1	93.9	88.3	354	439	265.4
18	92.8	94.5	91	327	397	253.5
17	91.4	92	90.8	299.3	357	239.3
16	86.6	86.2	87	273.6	321	224.4
15	78	77	79	251.3	290.8	210.1
14	66.5	65.4	67.8	235.1	270	198.7
13	54.3	53.3	55.5	226.8	260.1	192
12	44.1	43.2	45.1	227.9	262.8	191.3
11	37.7	36.8	38.7	239.4	279	198.2
10	34.4	33.5	35.3	262	309	213.5
9	36.2	35	37.5	296.8	353	238.8
8	44.9	42.8	47	344	411	275.7
7	56.8	53.6	60.1	404	480	326
6	67.8	63.8	72.1	477	558	393
5	74.1	69.7	78.7	561	641	479
4	71.7	67.9	75.7	660	727	591
3	61.4	58.9	63.9	776	818	733
2	70.1	68.9	71.4	915	916	915
1	172.9	175.4	170.2	1,086	1,027	1,147
0	1,530	1,613	1,443	6,215	6,667	5,754

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 South Sudan. The median age of death is 79.7 in Bangladesh and 67.5 in South 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 South Sudan more than their death rates.

Life expectancy in other countries

+ -

1x