Life Expectancy in Bangladesh vs South Africa (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Bangladesh vs South Africa: 77.8 years vs 70.5 at 30, 82.3 vs 80.7 at 65, 88.1 vs 88.7 at 80 — significantly higher than the 75.2 vs 66.5 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Bangladesh and South Africa.

Table

Current age, years	Total life expectancy, years
	Bangladesh			South Africa
	Average	Male	Female	Average	Male	Female
0	75.2	73.6	76.9	66.5	63	70
1	76.4	74.8	78.1	68	64.6	71.4
2	76.6	75	78.3	68.2	64.8	71.6
3	76.6	75	78.3	68.4	65	71.8
4	76.7	75.1	78.4	68.5	65.1	71.8
5	76.7	75.1	78.4	68.6	65.1	71.9
6	76.8	75.2	78.5	68.6	65.2	71.9
7	76.8	75.2	78.6	68.6	65.2	72
8	76.9	75.2	78.6	68.7	65.3	72
9	76.9	75.3	78.6	68.7	65.3	72
10	76.9	75.3	78.7	68.7	65.3	72
11	76.9	75.3	78.7	68.7	65.3	72
12	77	75.3	78.7	68.8	65.4	72.1
13	77	75.4	78.7	68.8	65.4	72.1
14	77	75.4	78.8	68.8	65.4	72.1
15	77.1	75.4	78.8	68.9	65.5	72.2
16	77.1	75.5	78.9	68.9	65.5	72.2
17	77.2	75.5	78.9	69	65.6	72.3
18	77.2	75.6	79	69	65.7	72.3
19	77.3	75.7	79.1	69.1	65.8	72.4
20	77.4	75.7	79.1	69.2	65.8	72.4
21	77.4	75.8	79.2	69.3	66	72.5
22	77.5	75.8	79.2	69.4	66.1	72.6
23	77.5	75.9	79.3	69.5	66.2	72.7
24	77.5	75.9	79.3	69.6	66.3	72.8
25	77.6	76	79.3	69.7	66.5	72.9
26	77.6	76	79.4	69.9	66.7	73
27	77.7	76	79.4	70	66.8	73.1
28	77.7	76.1	79.4	70.2	67	73.2
29	77.8	76.1	79.5	70.3	67.2	73.4
30	77.8	76.2	79.5	70.5	67.4	73.5
31	77.8	76.2	79.6	70.7	67.6	73.7
32	77.9	76.3	79.6	70.9	67.8	73.8
33	77.9	76.3	79.7	71.1	68	74
34	78	76.4	79.7	71.3	68.2	74.2
35	78	76.4	79.7	71.5	68.4	74.4
36	78.1	76.5	79.8	71.7	68.6	74.5
37	78.1	76.5	79.8	71.9	68.9	74.7
38	78.2	76.6	79.9	72.1	69.1	74.9
39	78.2	76.7	79.9	72.3	69.4	75.1
40	78.3	76.7	80	72.6	69.6	75.3
41	78.4	76.8	80.1	72.8	69.9	75.6
42	78.4	76.9	80.2	73.1	70.1	75.8
43	78.5	76.9	80.2	73.3	70.4	76
44	78.6	77	80.3	73.6	70.7	76.2
45	78.7	77.1	80.4	73.8	70.9	76.4
46	78.8	77.2	80.5	74.1	71.2	76.7
47	78.9	77.3	80.5	74.4	71.5	76.9
48	79	77.4	80.6	74.6	71.9	77.1
49	79.1	77.5	80.7	74.9	72.2	77.4
50	79.2	77.7	80.9	75.2	72.5	77.6
51	79.3	77.8	81	75.5	72.9	77.9
52	79.5	78	81.1	75.8	73.2	78.1
53	79.7	78.2	81.3	76.2	73.6	78.3
54	79.8	78.4	81.4	76.5	73.9	78.6
55	80	78.6	81.5	76.8	74.3	78.9
56	80.2	78.8	81.7	77.2	74.7	79.2
57	80.4	79	81.9	77.5	75.1	79.4
58	80.6	79.3	82	77.9	75.6	79.7
59	80.8	79.5	82.2	78.2	76	80
60	81	79.8	82.4	78.6	76.5	80.3
61	81.3	80.1	82.5	79	76.9	80.7
62	81.5	80.4	82.7	79.4	77.4	81
63	81.8	80.7	82.9	79.8	77.9	81.3
64	82	80.9	83.2	80.2	78.4	81.7
65	82.3	81.2	83.4	80.7	78.9	82
66	82.6	81.5	83.7	81.1	79.4	82.4
67	82.9	81.8	83.9	81.6	79.9	82.8
68	83.2	82.1	84.2	82.1	80.5	83.2
69	83.5	82.5	84.5	82.6	81.1	83.6
70	83.8	82.8	84.8	83.1	81.6	84
71	84.2	83.2	85.1	83.6	82.2	84.5
72	84.5	83.5	85.5	84.1	82.8	84.9
73	84.9	84	85.8	84.6	83.4	85.4
74	85.3	84.4	86.2	85.2	84	85.8
75	85.7	84.8	86.5	85.7	84.7	86.3
76	86.1	85.3	86.9	86.3	85.3	86.9
77	86.6	85.8	87.3	86.9	86	87.4
78	87.1	86.3	87.8	87.5	86.7	87.9
79	87.5	86.8	88.2	88.1	87.3	88.5
80	88.1	87.3	88.7	88.7	88	89.1
81	88.6	87.9	89.2	89.4	88.7	89.7
82	89.1	88.4	89.7	90	89.4	90.2
83	89.7	89	90.2	90.6	90.1	90.8
84	90.2	89.6	90.7	91.2	90.8	91.4
85	90.8	90.2	91.3	91.9	91.5	92.1
86	91.5	90.9	91.9	92.6	92.2	92.7
87	92.1	91.5	92.5	93.2	92.9	93.4
88	92.7	92.2	93.1	93.9	93.7	94.1
89	93.4	92.9	93.7	94.7	94.4	94.7
90	94.1	93.6	94.4	95.4	95.2	95.5
91	94.8	94.3	95.1	96.1	96	96.2
92	95.5	95.1	95.8	96.9	96.7	96.9
93	96.3	95.8	96.5	97.6	97.5	97.6
94	97	96.6	97.2	98.4	98.3	98.4
95	97.8	97.4	98	99.2	99.1	99.2
96	98.6	98.2	98.7	100	99.9	100
97	99.4	99.1	99.6	100.8	100.7	100.8
98	100.3	99.9	100.4	101.6	101.5	101.7
99	101.2	100.9	101.3	102.5	102.3	102.6
100	102.2	101.9	102.3	103.4	103.1	103.5

Odds of living to age in Bangladesh vs South Africa

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.8% in Bangladesh and 68.4% in South Africa are expected to survive till at least 60 years old, 72.8% and 51.3% will live to 70 years or older, 48.3% and 30% to 80+ years, and 16.4% and 11.2% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Bangladesh			South Africa
	Average	Male	Female	Average	Male	Female
1	98.4%	98.3%	98.5%	97.8%	97.5%	98%
2	98.2%	98.1%	98.3%	97.4%	97.1%	97.7%
3	98.1%	98.1%	98.2%	97.2%	96.9%	97.5%
4	98.1%	98%	98.2%	97%	96.7%	97.4%
5	98%	97.9%	98.1%	96.9%	96.6%	97.3%
6	97.9%	97.8%	98%	96.9%	96.5%	97.2%
7	97.9%	97.8%	97.9%	96.8%	96.5%	97.2%
8	97.8%	97.7%	97.9%	96.8%	96.4%	97.2%
9	97.7%	97.7%	97.8%	96.7%	96.4%	97.1%
10	97.7%	97.6%	97.8%	96.7%	96.3%	97.1%
11	97.7%	97.6%	97.7%	96.7%	96.3%	97.1%
12	97.6%	97.6%	97.7%	96.6%	96.2%	97%
13	97.6%	97.5%	97.6%	96.6%	96.2%	97%
14	97.5%	97.5%	97.6%	96.5%	96.1%	96.9%
15	97.5%	97.4%	97.5%	96.4%	96%	96.9%
16	97.4%	97.3%	97.4%	96.4%	95.9%	96.8%
17	97.3%	97.2%	97.4%	96.3%	95.8%	96.7%
18	97.2%	97.1%	97.3%	96.1%	95.6%	96.6%
19	97.1%	97%	97.2%	96%	95.5%	96.5%
20	97%	97%	97.1%	95.8%	95.3%	96.4%
21	96.9%	96.9%	97%	95.6%	95.1%	96.3%
22	96.8%	96.8%	96.9%	95.4%	94.8%	96.1%
23	96.8%	96.7%	96.8%	95.2%	94.5%	95.9%
24	96.7%	96.6%	96.8%	95%	94.2%	95.8%
25	96.6%	96.5%	96.7%	94.7%	93.9%	95.6%
26	96.5%	96.5%	96.6%	94.4%	93.5%	95.3%
27	96.5%	96.4%	96.6%	94.1%	93.1%	95.1%
28	96.4%	96.3%	96.5%	93.7%	92.7%	94.8%
29	96.3%	96.2%	96.4%	93.4%	92.3%	94.5%
30	96.2%	96.1%	96.3%	93%	91.8%	94.2%
31	96.1%	96%	96.2%	92.6%	91.3%	93.9%
32	96%	95.9%	96.2%	92.1%	90.8%	93.5%
33	95.9%	95.7%	96.1%	91.7%	90.3%	93.1%
34	95.8%	95.6%	96%	91.2%	89.7%	92.7%
35	95.7%	95.5%	95.9%	90.7%	89.1%	92.3%
36	95.6%	95.4%	95.8%	90.2%	88.5%	91.9%
37	95.5%	95.3%	95.7%	89.6%	87.9%	91.4%
38	95.4%	95.1%	95.6%	89.1%	87.2%	90.9%
39	95.2%	95%	95.4%	88.5%	86.5%	90.4%
40	95.1%	94.8%	95.3%	87.9%	85.8%	89.9%
41	94.9%	94.6%	95.1%	87.2%	85.1%	89.4%
42	94.7%	94.5%	95%	86.5%	84.3%	88.8%
43	94.5%	94.3%	94.8%	85.8%	83.5%	88.2%
44	94.3%	94%	94.6%	85.1%	82.6%	87.6%
45	94.1%	93.8%	94.4%	84.3%	81.8%	87%
46	93.8%	93.5%	94.2%	83.5%	80.8%	86.3%
47	93.6%	93.2%	93.9%	82.7%	79.8%	85.7%
48	93.3%	92.8%	93.6%	81.9%	78.8%	85%
49	92.9%	92.4%	93.3%	81%	77.7%	84.3%
50	92.5%	92%	93%	80.1%	76.6%	83.6%
51	92.1%	91.5%	92.6%	79.1%	75.4%	82.9%
52	91.6%	90.9%	92.2%	78.1%	74.2%	82.1%
53	91%	90.3%	91.8%	77.1%	72.9%	81.3%
54	90.5%	89.6%	91.3%	76%	71.6%	80.5%
55	89.8%	88.8%	90.8%	74.8%	70.2%	79.6%
56	89.1%	88%	90.3%	73.6%	68.7%	78.7%
57	88.4%	87.1%	89.7%	72.4%	67.2%	77.7%
58	87.6%	86.1%	89.1%	71.1%	65.6%	76.6%
59	86.8%	85%	88.5%	69.8%	64%	75.6%
60	85.8%	83.9%	87.8%	68.4%	62.3%	74.4%
61	84.9%	82.6%	87.1%	66.9%	60.6%	73.3%
62	83.8%	81.4%	86.3%	65.5%	58.8%	72.1%
63	82.7%	80.1%	85.4%	63.9%	57%	70.8%
64	81.5%	78.7%	84.5%	62.3%	55.1%	69.5%
65	80.3%	77.4%	83.4%	60.6%	53.1%	68%
66	79%	76%	82.2%	58.9%	51.1%	66.5%
67	77.6%	74.5%	80.9%	57.1%	49%	64.9%
68	76.1%	73%	79.6%	55.2%	46.9%	63.3%
69	74.6%	71.3%	78.1%	53.2%	44.8%	61.5%
70	72.8%	69.4%	76.5%	51.3%	42.7%	59.7%
71	71%	67.4%	74.9%	49.3%	40.6%	57.9%
72	69%	65.3%	73.1%	47.3%	38.4%	55.9%
73	66.9%	63%	71.2%	45.2%	36.3%	53.9%
74	64.7%	60.5%	69.2%	43.1%	34.2%	51.8%
75	62.3%	57.9%	67%	40.9%	32.1%	49.7%
76	59.7%	55.1%	64.7%	38.7%	29.9%	47.4%
77	57.1%	52.2%	62.3%	36.5%	27.8%	45.1%
78	54.3%	49.3%	59.7%	34.3%	25.7%	42.7%
79	51.4%	46.2%	56.9%	32.1%	23.7%	40.3%
80	48.3%	43.1%	54%	30%	21.8%	37.9%
81	45.2%	39.9%	51%	27.9%	20%	35.5%
82	42%	36.7%	47.8%	25.8%	18.3%	33.1%
83	38.8%	33.4%	44.6%	23.8%	16.7%	30.8%
84	35.5%	30.1%	41.2%	21.9%	15.1%	28.4%
85	32.1%	26.8%	37.8%	20%	13.6%	26.1%
86	28.8%	23.6%	34.4%	18.1%	12.1%	23.7%
87	25.5%	20.5%	31%	16.2%	10.7%	21.5%
88	22.4%	17.6%	27.6%	14.5%	9.42%	19.2%
89	19.3%	14.8%	24.2%	12.8%	8.21%	17.1%
90	16.4%	12.2%	21%	11.2%	7.1%	15.1%
91	13.7%	9.93%	17.8%	9.76%	6.1%	13.2%
92	11.3%	7.88%	14.9%	8.41%	5.2%	11.4%
93	9.05%	6.1%	12.2%	7.16%	4.38%	9.73%
94	7.1%	4.59%	9.82%	6.02%	3.66%	8.21%
95	5.42%	3.34%	7.68%	5%	3.03%	6.83%
96	4.02%	2.34%	5.84%	4.1%	2.47%	5.6%
97	2.88%	1.57%	4.3%	3.32%	2%	4.54%
98	1.99%	1%	3.05%	2.65%	1.6%	3.62%
99	1.31%	0.6%	2.07%	2.08%	1.26%	2.84%
100	0.83%	0.34%	1.34%	1.61%	0.99%	2.19%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.61% in the birth year in Bangladesh and 2.24% in South Africa, 0.1% vs 0.45% at age 30, 1.15% vs 2.1% at 60, and 6.44% vs 6.98% at 80.

Below is a graph displaying the probabilities of dying in Bangladesh compared to South Africa at any given age.

Table

Age	Probability of dying
	Bangladesh			South Africa
	Average	Male	Female	Average	Male	Female
0	1.61%	1.69%	1.52%	2.24%	2.49%	1.98%
1	0.18%	0.19%	0.18%	0.36%	0.39%	0.32%
2	0.07%	0.07%	0.08%	0.23%	0.26%	0.2%
3	0.07%	0.06%	0.07%	0.15%	0.17%	0.13%
4	0.08%	0.07%	0.08%	0.1%	0.12%	0.08%
5	0.08%	0.07%	0.08%	0.07%	0.08%	0.06%
6	0.07%	0.07%	0.08%	0.05%	0.06%	0.04%
7	0.06%	0.06%	0.06%	0.04%	0.05%	0.04%
8	0.05%	0.05%	0.05%	0.04%	0.05%	0.03%
9	0.04%	0.04%	0.04%	0.04%	0.05%	0.03%
10	0.04%	0.04%	0.04%	0.04%	0.05%	0.03%
11	0.04%	0.04%	0.04%	0.05%	0.05%	0.04%
12	0.05%	0.05%	0.05%	0.05%	0.06%	0.04%
13	0.06%	0.06%	0.06%	0.06%	0.07%	0.05%
14	0.07%	0.07%	0.07%	0.07%	0.09%	0.06%
15	0.08%	0.08%	0.08%	0.09%	0.11%	0.07%
16	0.09%	0.09%	0.09%	0.11%	0.13%	0.09%
17	0.1%	0.1%	0.1%	0.13%	0.15%	0.1%
18	0.1%	0.1%	0.1%	0.15%	0.18%	0.12%
19	0.1%	0.1%	0.09%	0.17%	0.21%	0.13%
20	0.09%	0.1%	0.09%	0.19%	0.24%	0.14%
21	0.09%	0.09%	0.08%	0.21%	0.27%	0.15%
22	0.08%	0.09%	0.08%	0.23%	0.3%	0.17%
23	0.08%	0.08%	0.07%	0.26%	0.33%	0.19%
24	0.07%	0.08%	0.07%	0.28%	0.36%	0.21%
25	0.08%	0.08%	0.07%	0.31%	0.39%	0.23%
26	0.08%	0.09%	0.07%	0.34%	0.42%	0.26%
27	0.08%	0.09%	0.08%	0.37%	0.45%	0.29%
28	0.09%	0.1%	0.08%	0.39%	0.48%	0.31%
29	0.1%	0.11%	0.09%	0.42%	0.5%	0.34%
30	0.1%	0.12%	0.09%	0.45%	0.53%	0.36%
31	0.1%	0.12%	0.09%	0.47%	0.56%	0.39%
32	0.1%	0.12%	0.09%	0.5%	0.59%	0.41%
33	0.11%	0.12%	0.09%	0.52%	0.62%	0.43%
34	0.11%	0.12%	0.09%	0.55%	0.65%	0.45%
35	0.11%	0.13%	0.1%	0.58%	0.68%	0.47%
36	0.12%	0.13%	0.11%	0.6%	0.72%	0.5%
37	0.13%	0.14%	0.12%	0.64%	0.75%	0.52%
38	0.14%	0.15%	0.14%	0.67%	0.79%	0.55%
39	0.16%	0.16%	0.16%	0.7%	0.83%	0.58%
40	0.18%	0.18%	0.17%	0.74%	0.87%	0.61%
41	0.19%	0.2%	0.19%	0.77%	0.91%	0.63%
42	0.2%	0.21%	0.2%	0.81%	0.96%	0.66%
43	0.22%	0.24%	0.2%	0.85%	1.02%	0.69%
44	0.24%	0.26%	0.22%	0.89%	1.08%	0.71%
45	0.26%	0.3%	0.23%	0.94%	1.14%	0.74%
46	0.3%	0.33%	0.26%	0.99%	1.21%	0.76%
47	0.33%	0.38%	0.29%	1.03%	1.29%	0.79%
48	0.38%	0.43%	0.32%	1.08%	1.36%	0.81%
49	0.43%	0.49%	0.36%	1.14%	1.45%	0.84%
50	0.48%	0.56%	0.41%	1.2%	1.53%	0.88%
51	0.53%	0.62%	0.45%	1.26%	1.63%	0.92%
52	0.59%	0.69%	0.48%	1.33%	1.73%	0.97%
53	0.64%	0.77%	0.52%	1.41%	1.84%	1.03%
54	0.69%	0.84%	0.55%	1.5%	1.96%	1.1%
55	0.75%	0.93%	0.58%	1.59%	2.08%	1.17%
56	0.82%	1.03%	0.62%	1.69%	2.21%	1.25%
57	0.9%	1.14%	0.66%	1.79%	2.35%	1.33%
58	0.98%	1.25%	0.7%	1.88%	2.48%	1.4%
59	1.06%	1.36%	0.76%	1.99%	2.63%	1.48%
60	1.15%	1.46%	0.83%	2.1%	2.78%	1.56%
61	1.23%	1.54%	0.91%	2.22%	2.94%	1.66%
62	1.32%	1.6%	1.02%	2.36%	3.13%	1.76%
63	1.41%	1.66%	1.14%	2.52%	3.33%	1.89%
64	1.5%	1.72%	1.27%	2.7%	3.56%	2.04%
65	1.62%	1.81%	1.41%	2.89%	3.81%	2.21%
66	1.75%	1.93%	1.55%	3.1%	4.05%	2.38%
67	1.91%	2.1%	1.7%	3.3%	4.29%	2.57%
68	2.09%	2.32%	1.84%	3.5%	4.52%	2.75%
69	2.3%	2.57%	2%	3.69%	4.74%	2.94%
70	2.53%	2.87%	2.17%	3.89%	4.96%	3.13%
71	2.78%	3.2%	2.36%	4.11%	5.21%	3.34%
72	3.06%	3.55%	2.59%	4.36%	5.51%	3.59%
73	3.36%	3.93%	2.84%	4.66%	5.85%	3.87%
74	3.69%	4.33%	3.12%	5%	6.24%	4.19%
75	4.06%	4.76%	3.43%	5.36%	6.66%	4.55%
76	4.46%	5.21%	3.79%	5.72%	7.07%	4.92%
77	4.9%	5.69%	4.18%	6.07%	7.44%	5.28%
78	5.37%	6.2%	4.61%	6.39%	7.75%	5.63%
79	5.88%	6.76%	5.09%	6.68%	8.02%	5.97%
80	6.44%	7.39%	5.61%	6.98%	8.28%	6.31%
81	7.07%	8.11%	6.18%	7.32%	8.59%	6.69%
82	7.77%	8.92%	6.81%	7.73%	8.99%	7.13%
83	8.55%	9.84%	7.49%	8.22%	9.48%	7.64%
84	9.4%	10.9%	8.23%	8.79%	10.1%	8.24%
85	10.3%	12%	9.06%	9.44%	10.7%	8.91%
86	11.3%	13.2%	9.99%	10.1%	11.4%	9.62%
87	12.4%	14.4%	11%	10.9%	12.2%	10.4%
88	13.6%	15.8%	12.2%	11.6%	12.8%	11.1%
89	15%	17.2%	13.4%	12.3%	13.5%	11.9%
90	16.4%	18.8%	14.8%	13.1%	14.1%	12.7%
91	18%	20.6%	16.4%	13.9%	14.8%	13.5%
92	19.7%	22.6%	18%	14.8%	15.6%	14.5%
93	21.5%	24.8%	19.8%	15.9%	16.5%	15.7%
94	23.6%	27.3%	21.8%	17%	17.4%	16.8%
95	25.8%	29.9%	24%	18%	18.3%	17.9%
96	28.3%	32.9%	26.4%	19.1%	19.1%	19%
97	31%	36.2%	29.1%	20.2%	20%	20.2%
98	33.9%	39.7%	32%	21.4%	21%	21.5%
99	36.9%	43.5%	35.2%	22.6%	22%	22.8%
100	39.5%	46.6%	37.7%	23.7%	22.9%	24%

Death rate by age in Bangladesh compared to South Africa

In Bangladesh, the most common age of death is 84, compared to 0 in South Africa. The median age of death is 79.5 in Bangladesh and 70.6 in South Africa — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bangladesh			South Africa
	Total	Male	Female	Total	Male	Female
0	1,609	1,692	1,521	2,237	2,486	1,980
1	181.1	183.5	178.7	350	381	318
2	73.2	71.8	74.6	223.1	248.2	197
3	63.9	61.3	66.7	144.6	164.2	124.6
4	74.6	70.5	79	97.1	112.3	81.9
5	77.1	72.3	82.1	68.6	80.4	56.7
6	70.5	66.1	75.1	52.2	61.7	42.6
7	58.9	55.6	62.5	43	51.1	34.9
8	46.5	44.2	48.8	38.7	46	31.3
9	37.4	36.1	38.8	37.7	44.7	30.6
10	35.5	34.5	36.6	39.5	46.6	32.3
11	38.9	37.9	40	43.8	51.4	36.1
12	45.5	44.4	46.6	50.6	59.1	42.1
13	56	54.8	57.3	60.1	69.9	50.1
14	68.5	67.2	69.9	72.1	83.9	60.1
15	80.2	79.1	81.4	86.6	101.1	71.8
16	88.9	88.4	89.5	103.3	121.6	84.7
17	93.8	94.2	93.3	121.8	145	98.1
18	95	96.6	93.4	141.2	170.5	111.2
19	93.2	95.9	90.4	161.1	197.4	123.8
20	89	92.7	85.4	181.2	225.1	136
21	83.6	87.9	79.5	201.9	253.1	148.7
22	78.3	83.2	74	223.3	281.1	163
23	74.3	79.5	69.8	245.8	309	179.6
24	72.2	77.9	67.5	269.3	336	199.1
25	72.8	79.3	67.6	293.9	364	221.6
26	75.8	83.3	69.8	319	390	246.3
27	80.7	89.6	73.6	345	416	271.9
28	86.7	97.2	78.2	369	440	296.8
29	92.6	104.9	82.5	392	464	320
30	97	111	85.4	414	487	342
31	99.1	114.3	86.3	436	510	361
32	100	116	86.4	457	534	380
33	101	117.1	87	478	558	398
34	103	118.6	89.3	500	582	417
35	107.4	121.6	94.7	522	607	436
36	114.8	126.8	104.1	545	633	456
37	125.1	134.2	117	569	659	477
38	137.9	143.8	132.7	594	687	499
39	152.3	155.6	149.4	620	715	522
40	166.8	169.3	164.6	646	744	545
41	180.3	184.7	176.2	674	776	567
42	193.6	202.5	185.2	702	811	588
43	208.4	223.3	193.7	731	849	607
44	226.1	247.9	203.9	762	890	625
45	248.7	277.4	218.6	793	934	642
46	277.6	313	240.2	824	980	658
47	313	355	268.4	855	1,027	674
48	353	403	302	888	1,076	692
49	398	455	340	922	1,125	712
50	445	512	379	958	1,175	736
51	491	570	414	997	1,228	765
52	536	629	445	1,041	1,283	800
53	581	691	474	1,088	1,340	840
54	627	756	500	1,139	1,400	885
55	677	828	526	1,192	1,462	934
56	733	907	555	1,243	1,521	983
57	794	992	588	1,292	1,577	1,030
58	858	1,077	626	1,340	1,630	1,076
59	924	1,157	672	1,386	1,680	1,120
60	987	1,223	727	1,433	1,730	1,165
61	1,047	1,272	795	1,484	1,782	1,214
62	1,104	1,304	877	1,543	1,838	1,271
63	1,162	1,328	970	1,609	1,899	1,340
64	1,226	1,356	1,070	1,680	1,963	1,417
65	1,298	1,399	1,173	1,754	2,022	1,502
66	1,383	1,469	1,276	1,823	2,071	1,587
67	1,483	1,568	1,373	1,882	2,104	1,668
68	1,594	1,692	1,467	1,929	2,119	1,741
69	1,715	1,835	1,562	1,964	2,122	1,808
70	1,842	1,992	1,660	1,993	2,118	1,871
71	1,976	2,156	1,770	2,025	2,115	1,935
72	2,113	2,318	1,890	2,063	2,116	2,006
73	2,250	2,474	2,019	2,107	2,124	2,087
74	2,389	2,621	2,157	2,153	2,133	2,173
75	2,529	2,753	2,300	2,193	2,135	2,258
76	2,666	2,872	2,452	2,217	2,116	2,330
77	2,795	2,973	2,604	2,218	2,070	2,380
78	2,913	3,056	2,754	2,191	1,995	2,403
79	3,019	3,125	2,898	2,146	1,904	2,403
80	3,113	3,182	3,032	2,092	1,808	2,390
81	3,198	3,234	3,154	2,041	1,721	2,374
82	3,267	3,271	3,257	1,997	1,646	2,361
83	3,313	3,287	3,338	1,960	1,580	2,352
84	3,333	3,270	3,396	1,925	1,519	2,341
85	3,318	3,213	3,430	1,885	1,457	2,322
86	3,267	3,109	3,438	1,833	1,386	2,285
87	3,178	2,960	3,415	1,763	1,304	2,224
88	3,051	2,770	3,357	1,675	1,210	2,135
89	2,887	2,549	3,255	1,575	1,108	2,030
90	2,691	2,306	3,109	1,466	1,005	1,909
91	2,466	2,048	2,920	1,353	904	1,779
92	2,215	1,783	2,685	1,247	811	1,656
93	1,948	1,515	2,420	1,138	722	1,526
94	1,675	1,250	2,138	1,022	636	1,380
95	1,401	998	1,841	901	552	1,223
96	1,140	769	1,545	781	473	1,066
97	894	567	1,251	670	401	918
98	674	397	975	566	336	778
99	485	262.8	728	470	277.7	647
100	229.5	46.3	429	354	202.1	494

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Bangladesh and South Africa demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Bangladesh vs South Africa: Profiles in Numbers

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size