Life Expectancy in Bangladesh vs Sao Tome and Principe (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 Sao Tome and Principe: 77.8 years vs 72.4 at 30, 82.3 vs 79.4 at 65, 88.1 vs 86.6 at 80 — significantly higher than the 75.2 vs 70.1 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 Sao Tome and Principe.

Table

Current age, years	Total life expectancy, years
	Bangladesh			Sao Tome
	Average	Male	Female	Average	Male	Female
0	75.2	73.6	76.9	70.1	66.6	74.1
1	76.4	74.8	78.1	70.8	67.3	74.8
2	76.6	75	78.3	70.9	67.4	74.9
3	76.6	75	78.3	70.9	67.4	74.9
4	76.7	75.1	78.4	70.9	67.4	74.9
5	76.7	75.1	78.4	71	67.5	75
6	76.8	75.2	78.5	71	67.5	75
7	76.8	75.2	78.6	71	67.5	75
8	76.9	75.2	78.6	71.1	67.6	75
9	76.9	75.3	78.6	71.1	67.6	75.1
10	76.9	75.3	78.7	71.1	67.6	75.1
11	76.9	75.3	78.7	71.1	67.6	75.1
12	77	75.3	78.7	71.2	67.6	75.1
13	77	75.4	78.7	71.2	67.7	75.2
14	77	75.4	78.8	71.2	67.7	75.2
15	77.1	75.4	78.8	71.2	67.7	75.2
16	77.1	75.5	78.9	71.3	67.8	75.3
17	77.2	75.5	78.9	71.3	67.8	75.3
18	77.2	75.6	79	71.4	67.9	75.4
19	77.3	75.7	79.1	71.5	68	75.4
20	77.4	75.7	79.1	71.5	68.1	75.5
21	77.4	75.8	79.2	71.6	68.2	75.6
22	77.5	75.8	79.2	71.7	68.3	75.6
23	77.5	75.9	79.3	71.8	68.4	75.7
24	77.5	75.9	79.3	71.9	68.5	75.7
25	77.6	76	79.3	72	68.6	75.8
26	77.6	76	79.4	72.1	68.8	75.9
27	77.7	76	79.4	72.2	68.9	75.9
28	77.7	76.1	79.4	72.3	69	76
29	77.8	76.1	79.5	72.3	69.1	76.1
30	77.8	76.2	79.5	72.4	69.2	76.1
31	77.8	76.2	79.6	72.5	69.3	76.2
32	77.9	76.3	79.6	72.6	69.4	76.3
33	77.9	76.3	79.7	72.7	69.6	76.3
34	78	76.4	79.7	72.8	69.7	76.4
35	78	76.4	79.7	72.9	69.8	76.5
36	78.1	76.5	79.8	73	70	76.6
37	78.1	76.5	79.8	73.2	70.1	76.6
38	78.2	76.6	79.9	73.3	70.2	76.7
39	78.2	76.7	79.9	73.4	70.4	76.8
40	78.3	76.7	80	73.5	70.5	76.9
41	78.4	76.8	80.1	73.6	70.7	77
42	78.4	76.9	80.2	73.8	70.9	77.1
43	78.5	76.9	80.2	73.9	71	77.2
44	78.6	77	80.3	74.1	71.2	77.3
45	78.7	77.1	80.4	74.2	71.4	77.4
46	78.8	77.2	80.5	74.4	71.6	77.6
47	78.9	77.3	80.5	74.6	71.8	77.7
48	79	77.4	80.6	74.8	72	77.8
49	79.1	77.5	80.7	75	72.3	78
50	79.2	77.7	80.9	75.2	72.5	78.1
51	79.3	77.8	81	75.4	72.8	78.3
52	79.5	78	81.1	75.6	73	78.4
53	79.7	78.2	81.3	75.8	73.3	78.6
54	79.8	78.4	81.4	76.1	73.6	78.8
55	80	78.6	81.5	76.3	73.9	78.9
56	80.2	78.8	81.7	76.6	74.2	79.1
57	80.4	79	81.9	76.9	74.5	79.3
58	80.6	79.3	82	77.1	74.9	79.5
59	80.8	79.5	82.2	77.4	75.2	79.8
60	81	79.8	82.4	77.7	75.6	80
61	81.3	80.1	82.5	78.1	76	80.2
62	81.5	80.4	82.7	78.4	76.4	80.4
63	81.8	80.7	82.9	78.7	76.8	80.7
64	82	80.9	83.2	79.1	77.2	81
65	82.3	81.2	83.4	79.4	77.6	81.2
66	82.6	81.5	83.7	79.8	78.1	81.5
67	82.9	81.8	83.9	80.2	78.5	81.8
68	83.2	82.1	84.2	80.6	79	82.1
69	83.5	82.5	84.5	81	79.5	82.4
70	83.8	82.8	84.8	81.4	80	82.8
71	84.2	83.2	85.1	81.9	80.5	83.1
72	84.5	83.5	85.5	82.4	81.1	83.5
73	84.9	84	85.8	82.8	81.6	83.9
74	85.3	84.4	86.2	83.3	82.2	84.3
75	85.7	84.8	86.5	83.8	82.8	84.7
76	86.1	85.3	86.9	84.3	83.3	85.1
77	86.6	85.8	87.3	84.9	83.9	85.6
78	87.1	86.3	87.8	85.4	84.6	86.1
79	87.5	86.8	88.2	86	85.2	86.6
80	88.1	87.3	88.7	86.6	85.9	87.1
81	88.6	87.9	89.2	87.2	86.5	87.7
82	89.1	88.4	89.7	87.9	87.2	88.2
83	89.7	89	90.2	88.5	87.9	88.8
84	90.2	89.6	90.7	89.2	88.6	89.5
85	90.8	90.2	91.3	89.8	89.4	90.1
86	91.5	90.9	91.9	90.5	90.1	90.8
87	92.1	91.5	92.5	91.3	90.9	91.5
88	92.7	92.2	93.1	92	91.7	92.2
89	93.4	92.9	93.7	92.7	92.4	92.9
90	94.1	93.6	94.4	93.5	93.2	93.6
91	94.8	94.3	95.1	94.3	94	94.4
92	95.5	95.1	95.8	95.1	94.9	95.2
93	96.3	95.8	96.5	95.9	95.7	96
94	97	96.6	97.2	96.7	96.6	96.8
95	97.8	97.4	98	97.6	97.4	97.6
96	98.6	98.2	98.7	98.4	98.3	98.5
97	99.4	99.1	99.6	99.3	99.2	99.4
98	100.3	99.9	100.4	100.2	100.1	100.2
99	101.2	100.9	101.3	101.1	100.9	101.2
100	102.2	101.9	102.3	102	101.8	102.1

Odds of living to age in Bangladesh vs Sao Tome and Principe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.8% in Bangladesh and 77.8% in Sao Tome and Principe are expected to survive till at least 60 years old, 72.8% and 59.8% will live to 70 years or older, 48.3% and 32.7% to 80+ years, and 16.4% and 7.5% 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			Sao Tome
	Average	Male	Female	Average	Male	Female
1	98.4%	98.3%	98.5%	98.9%	98.9%	99%
2	98.2%	98.1%	98.3%	98.9%	98.8%	99%
3	98.1%	98.1%	98.2%	98.8%	98.7%	98.9%
4	98.1%	98%	98.2%	98.8%	98.7%	98.9%
5	98%	97.9%	98.1%	98.7%	98.6%	98.8%
6	97.9%	97.8%	98%	98.7%	98.6%	98.8%
7	97.9%	97.8%	97.9%	98.6%	98.5%	98.7%
8	97.8%	97.7%	97.9%	98.6%	98.5%	98.7%
9	97.7%	97.7%	97.8%	98.6%	98.5%	98.7%
10	97.7%	97.6%	97.8%	98.5%	98.4%	98.6%
11	97.7%	97.6%	97.7%	98.5%	98.4%	98.6%
12	97.6%	97.6%	97.7%	98.5%	98.4%	98.5%
13	97.6%	97.5%	97.6%	98.4%	98.3%	98.5%
14	97.5%	97.5%	97.6%	98.4%	98.3%	98.5%
15	97.5%	97.4%	97.5%	98.3%	98.2%	98.4%
16	97.4%	97.3%	97.4%	98.2%	98.1%	98.3%
17	97.3%	97.2%	97.4%	98.1%	98%	98.3%
18	97.2%	97.1%	97.3%	98%	97.9%	98.2%
19	97.1%	97%	97.2%	97.9%	97.7%	98.1%
20	97%	97%	97.1%	97.7%	97.5%	97.9%
21	96.9%	96.9%	97%	97.6%	97.3%	97.8%
22	96.8%	96.8%	96.9%	97.4%	97.1%	97.7%
23	96.8%	96.7%	96.8%	97.2%	96.8%	97.6%
24	96.7%	96.6%	96.8%	97%	96.6%	97.5%
25	96.6%	96.5%	96.7%	96.9%	96.3%	97.4%
26	96.5%	96.5%	96.6%	96.7%	96.1%	97.3%
27	96.5%	96.4%	96.6%	96.5%	95.8%	97.1%
28	96.4%	96.3%	96.5%	96.3%	95.6%	97%
29	96.3%	96.2%	96.4%	96.1%	95.3%	96.9%
30	96.2%	96.1%	96.3%	95.9%	95%	96.7%
31	96.1%	96%	96.2%	95.7%	94.7%	96.6%
32	96%	95.9%	96.2%	95.5%	94.4%	96.5%
33	95.9%	95.7%	96.1%	95.2%	94.1%	96.3%
34	95.8%	95.6%	96%	95%	93.8%	96.1%
35	95.7%	95.5%	95.9%	94.7%	93.5%	96%
36	95.6%	95.4%	95.8%	94.4%	93.1%	95.8%
37	95.5%	95.3%	95.7%	94.2%	92.7%	95.6%
38	95.4%	95.1%	95.6%	93.9%	92.3%	95.4%
39	95.2%	95%	95.4%	93.5%	91.9%	95.2%
40	95.1%	94.8%	95.3%	93.2%	91.4%	94.9%
41	94.9%	94.6%	95.1%	92.8%	91%	94.7%
42	94.7%	94.5%	95%	92.4%	90.4%	94.4%
43	94.5%	94.3%	94.8%	92%	89.9%	94.1%
44	94.3%	94%	94.6%	91.5%	89.3%	93.8%
45	94.1%	93.8%	94.4%	91.1%	88.7%	93.5%
46	93.8%	93.5%	94.2%	90.5%	88%	93.1%
47	93.6%	93.2%	93.9%	90%	87.2%	92.7%
48	93.3%	92.8%	93.6%	89.4%	86.4%	92.3%
49	92.9%	92.4%	93.3%	88.7%	85.6%	91.9%
50	92.5%	92%	93%	88%	84.7%	91.4%
51	92.1%	91.5%	92.6%	87.3%	83.7%	90.9%
52	91.6%	90.9%	92.2%	86.5%	82.7%	90.4%
53	91%	90.3%	91.8%	85.6%	81.6%	89.8%
54	90.5%	89.6%	91.3%	84.7%	80.4%	89.2%
55	89.8%	88.8%	90.8%	83.7%	79.2%	88.5%
56	89.1%	88%	90.3%	82.7%	77.9%	87.8%
57	88.4%	87.1%	89.7%	81.6%	76.5%	87%
58	87.6%	86.1%	89.1%	80.4%	75%	86.2%
59	86.8%	85%	88.5%	79.1%	73.4%	85.3%
60	85.8%	83.9%	87.8%	77.8%	71.8%	84.4%
61	84.9%	82.6%	87.1%	76.4%	70%	83.4%
62	83.8%	81.4%	86.3%	74.9%	68.2%	82.4%
63	82.7%	80.1%	85.4%	73.4%	66.2%	81.2%
64	81.5%	78.7%	84.5%	71.7%	64.2%	80.1%
65	80.3%	77.4%	83.4%	70%	62%	78.8%
66	79%	76%	82.2%	68.1%	59.8%	77.4%
67	77.6%	74.5%	80.9%	66.2%	57.5%	75.9%
68	76.1%	73%	79.6%	64.1%	55.1%	74.3%
69	74.6%	71.3%	78.1%	62%	52.7%	72.6%
70	72.8%	69.4%	76.5%	59.8%	50.1%	70.7%
71	71%	67.4%	74.9%	57.4%	47.5%	68.8%
72	69%	65.3%	73.1%	55%	44.9%	66.7%
73	66.9%	63%	71.2%	52.5%	42.2%	64.4%
74	64.7%	60.5%	69.2%	49.9%	39.5%	62%
75	62.3%	57.9%	67%	47.1%	36.7%	59.4%
76	59.7%	55.1%	64.7%	44.3%	33.9%	56.7%
77	57.1%	52.2%	62.3%	41.5%	31.2%	53.8%
78	54.3%	49.3%	59.7%	38.6%	28.4%	50.8%
79	51.4%	46.2%	56.9%	35.6%	25.7%	47.6%
80	48.3%	43.1%	54%	32.7%	23.1%	44.3%
81	45.2%	39.9%	51%	29.7%	20.5%	40.9%
82	42%	36.7%	47.8%	26.8%	18%	37.4%
83	38.8%	33.4%	44.6%	23.9%	15.7%	33.8%
84	35.5%	30.1%	41.2%	21.1%	13.5%	30.3%
85	32.1%	26.8%	37.8%	18.4%	11.5%	26.8%
86	28.8%	23.6%	34.4%	15.8%	9.63%	23.4%
87	25.5%	20.5%	31%	13.5%	7.97%	20.2%
88	22.4%	17.6%	27.6%	11.3%	6.49%	17.1%
89	19.3%	14.8%	24.2%	9.28%	5.2%	14.3%
90	16.4%	12.2%	21%	7.5%	4.09%	11.7%
91	13.7%	9.93%	17.8%	5.96%	3.15%	9.43%
92	11.3%	7.88%	14.9%	4.63%	2.38%	7.43%
93	9.05%	6.1%	12.2%	3.52%	1.76%	5.73%
94	7.1%	4.59%	9.82%	2.62%	1.27%	4.32%
95	5.42%	3.34%	7.68%	1.91%	0.89%	3.18%
96	4.02%	2.34%	5.84%	1.35%	0.62%	2.28%
97	2.88%	1.57%	4.3%	0.93%	0.41%	1.59%
98	1.99%	1%	3.05%	0.63%	0.27%	1.08%
99	1.31%	0.6%	2.07%	0.41%	0.17%	0.71%
100	0.83%	0.34%	1.34%	0.26%	0.11%	0.45%

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 1.07% in Sao Tome and Principe, 0.1% vs 0.22% at age 30, 1.15% vs 1.8% at 60, and 6.44% vs 9.08% at 80.

Below is a graph displaying the probabilities of dying in Bangladesh compared to Sao Tome and Principe at any given age.

Table

Age	Probability of dying
	Bangladesh			Sao Tome
	Average	Male	Female	Average	Male	Female
0	1.61%	1.69%	1.52%	1.07%	1.14%	0.99%
1	0.18%	0.19%	0.18%	0.06%	0.06%	0.05%
2	0.07%	0.07%	0.08%	0.05%	0.06%	0.05%
3	0.07%	0.06%	0.07%	0.05%	0.05%	0.05%
4	0.08%	0.07%	0.08%	0.05%	0.05%	0.05%
5	0.08%	0.07%	0.08%	0.05%	0.05%	0.04%
6	0.07%	0.07%	0.08%	0.04%	0.05%	0.04%
7	0.06%	0.06%	0.06%	0.04%	0.04%	0.04%
8	0.05%	0.05%	0.05%	0.04%	0.04%	0.04%
9	0.04%	0.04%	0.04%	0.04%	0.04%	0.04%
10	0.04%	0.04%	0.04%	0.03%	0.03%	0.04%
11	0.04%	0.04%	0.04%	0.04%	0.04%	0.04%
12	0.05%	0.05%	0.05%	0.04%	0.04%	0.04%
13	0.06%	0.06%	0.06%	0.05%	0.05%	0.05%
14	0.07%	0.07%	0.07%	0.06%	0.06%	0.06%
15	0.08%	0.08%	0.08%	0.07%	0.08%	0.07%
16	0.09%	0.09%	0.09%	0.1%	0.11%	0.08%
17	0.1%	0.1%	0.1%	0.12%	0.14%	0.1%
18	0.1%	0.1%	0.1%	0.14%	0.18%	0.11%
19	0.1%	0.1%	0.09%	0.16%	0.21%	0.11%
20	0.09%	0.1%	0.09%	0.17%	0.23%	0.12%
21	0.09%	0.09%	0.08%	0.18%	0.24%	0.12%
22	0.08%	0.09%	0.08%	0.18%	0.25%	0.11%
23	0.08%	0.08%	0.07%	0.18%	0.25%	0.11%
24	0.07%	0.08%	0.07%	0.18%	0.25%	0.12%
25	0.08%	0.08%	0.07%	0.19%	0.26%	0.12%
26	0.08%	0.09%	0.07%	0.19%	0.27%	0.13%
27	0.08%	0.09%	0.08%	0.2%	0.27%	0.13%
28	0.09%	0.1%	0.08%	0.21%	0.28%	0.14%
29	0.1%	0.11%	0.09%	0.22%	0.29%	0.14%
30	0.1%	0.12%	0.09%	0.22%	0.3%	0.15%
31	0.1%	0.12%	0.09%	0.23%	0.31%	0.15%
32	0.1%	0.12%	0.09%	0.24%	0.33%	0.16%
33	0.11%	0.12%	0.09%	0.26%	0.34%	0.17%
34	0.11%	0.12%	0.09%	0.27%	0.36%	0.18%
35	0.11%	0.13%	0.1%	0.29%	0.38%	0.19%
36	0.12%	0.13%	0.11%	0.3%	0.41%	0.2%
37	0.13%	0.14%	0.12%	0.32%	0.43%	0.22%
38	0.14%	0.15%	0.14%	0.35%	0.46%	0.23%
39	0.16%	0.16%	0.16%	0.37%	0.5%	0.25%
40	0.18%	0.18%	0.17%	0.4%	0.53%	0.26%
41	0.19%	0.2%	0.19%	0.43%	0.57%	0.28%
42	0.2%	0.21%	0.2%	0.46%	0.61%	0.3%
43	0.22%	0.24%	0.2%	0.49%	0.66%	0.32%
44	0.24%	0.26%	0.22%	0.53%	0.71%	0.35%
45	0.26%	0.3%	0.23%	0.58%	0.77%	0.38%
46	0.3%	0.33%	0.26%	0.62%	0.83%	0.41%
47	0.33%	0.38%	0.29%	0.68%	0.9%	0.45%
48	0.38%	0.43%	0.32%	0.73%	0.98%	0.48%
49	0.43%	0.49%	0.36%	0.79%	1.06%	0.52%
50	0.48%	0.56%	0.41%	0.86%	1.14%	0.55%
51	0.53%	0.62%	0.45%	0.92%	1.23%	0.59%
52	0.59%	0.69%	0.48%	0.99%	1.33%	0.64%
53	0.64%	0.77%	0.52%	1.07%	1.43%	0.69%
54	0.69%	0.84%	0.55%	1.15%	1.54%	0.74%
55	0.75%	0.93%	0.58%	1.24%	1.66%	0.8%
56	0.82%	1.03%	0.62%	1.34%	1.79%	0.87%
57	0.9%	1.14%	0.66%	1.45%	1.93%	0.94%
58	0.98%	1.25%	0.7%	1.56%	2.09%	1.01%
59	1.06%	1.36%	0.76%	1.67%	2.26%	1.09%
60	1.15%	1.46%	0.83%	1.8%	2.45%	1.17%
61	1.23%	1.54%	0.91%	1.93%	2.65%	1.26%
62	1.32%	1.6%	1.02%	2.08%	2.86%	1.36%
63	1.41%	1.66%	1.14%	2.25%	3.09%	1.47%
64	1.5%	1.72%	1.27%	2.44%	3.33%	1.6%
65	1.62%	1.81%	1.41%	2.64%	3.59%	1.75%
66	1.75%	1.93%	1.55%	2.85%	3.85%	1.92%
67	1.91%	2.1%	1.7%	3.09%	4.14%	2.1%
68	2.09%	2.32%	1.84%	3.34%	4.46%	2.31%
69	2.3%	2.57%	2%	3.6%	4.8%	2.54%
70	2.53%	2.87%	2.17%	3.9%	5.17%	2.79%
71	2.78%	3.2%	2.36%	4.23%	5.57%	3.07%
72	3.06%	3.55%	2.59%	4.6%	6.01%	3.38%
73	3.36%	3.93%	2.84%	5%	6.47%	3.74%
74	3.69%	4.33%	3.12%	5.44%	6.98%	4.14%
75	4.06%	4.76%	3.43%	5.93%	7.53%	4.59%
76	4.46%	5.21%	3.79%	6.45%	8.14%	5.09%
77	4.9%	5.69%	4.18%	7.02%	8.8%	5.65%
78	5.37%	6.2%	4.61%	7.64%	9.51%	6.28%
79	5.88%	6.76%	5.09%	8.33%	10.3%	6.96%
80	6.44%	7.39%	5.61%	9.08%	11.1%	7.72%
81	7.07%	8.11%	6.18%	9.9%	12%	8.54%
82	7.77%	8.92%	6.81%	10.8%	13%	9.44%
83	8.55%	9.84%	7.49%	11.7%	14%	10.4%
84	9.4%	10.9%	8.23%	12.7%	15%	11.5%
85	10.3%	12%	9.06%	13.8%	16.1%	12.6%
86	11.3%	13.2%	9.99%	15%	17.3%	13.8%
87	12.4%	14.4%	11%	16.3%	18.6%	15.2%
88	13.6%	15.8%	12.2%	17.7%	19.9%	16.5%
89	15%	17.2%	13.4%	19.1%	21.4%	18%
90	16.4%	18.8%	14.8%	20.6%	22.9%	19.6%
91	18%	20.6%	16.4%	22.2%	24.5%	21.2%
92	19.7%	22.6%	18%	23.9%	26.1%	22.9%
93	21.5%	24.8%	19.8%	25.6%	27.8%	24.6%
94	23.6%	27.3%	21.8%	27.3%	29.5%	26.4%
95	25.8%	29.9%	24%	29.1%	31.2%	28.3%
96	28.3%	32.9%	26.4%	31%	32.9%	30.2%
97	31%	36.2%	29.1%	32.9%	34.7%	32.2%
98	33.9%	39.7%	32%	34.8%	36.4%	34.2%
99	36.9%	43.5%	35.2%	36.7%	38.2%	36.1%
100	39.5%	46.6%	37.7%	38.6%	39.9%	38.1%

Death rate by age in Bangladesh compared to Sao Tome and Principe

In Bangladesh, the most common age of death is 84, compared to 80 in Sao Tome and Principe. The median age of death is 79.5 in Bangladesh and 73.9 in Sao Tome and Principe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bangladesh			Sao Tome
	Total	Male	Female	Total	Male	Female
0	1,609	1,692	1,521	1,066	1,139	990
1	181.1	183.5	178.7	54.6	57.6	51.6
2	73.2	71.8	74.6	52.8	55.6	49.8
3	63.9	61.3	66.7	50.8	53.5	48
4	74.6	70.5	79	48.7	51.1	46.1
5	77.1	72.3	82.1	46.2	48.3	44
6	70.5	66.1	75.1	43.3	44.9	41.7
7	58.9	55.6	62.5	40.2	41.2	39.3
8	46.5	44.2	48.8	37.4	37.7	37.1
9	37.4	36.1	38.8	35.3	35	35.5
10	35.5	34.5	36.6	34.4	33.8	35.1
11	38.9	37.9	40	35.4	34.6	36.2
12	45.5	44.4	46.6	38.8	38.2	39.4
13	56	54.8	57.3	45.6	45.8	45.4
14	68.5	67.2	69.9	56.5	58.7	54.4
15	80.2	79.1	81.4	72.6	78.6	66.6
16	88.9	88.4	89.5	93.4	106.1	80.8
17	93.8	94.2	93.3	116.9	139.2	94.7
18	95	96.6	93.4	139.5	173.4	105.8
19	93.2	95.9	90.4	156.9	202.2	112.1
20	89	92.7	85.4	167.7	222.2	114
21	83.6	87.9	79.5	172.6	233.5	113.4
22	78.3	83.2	74	174.3	238.9	112.2
23	74.3	79.5	69.8	175.8	242.2	112.2
24	72.2	77.9	67.5	178.4	245.5	113.9
25	72.8	79.3	67.6	182.6	250	117.4
26	75.8	83.3	69.8	188.1	255.9	122.1
27	80.7	89.6	73.6	194.1	262.8	127.3
28	86.7	97.2	78.2	200.8	270.5	132.6
29	92.6	104.9	82.5	207.9	278.8	137.7
30	97	111	85.4	215.5	288	142.9
31	99.1	114.3	86.3	223.7	298.3	148.5
32	100	116	86.4	232.9	310	155.1
33	101	117.1	87	243.7	324	163
34	103	118.6	89.3	256.4	340	172.5
35	107.4	121.6	94.7	270.8	358	183.5
36	114.8	126.8	104.1	286.9	379	195.5
37	125.1	134.2	117	305	402	208.3
38	137.9	143.8	132.7	324	427	221.6
39	152.3	155.6	149.4	346	455	235.3
40	166.8	169.3	164.6	370	486	249.9
41	180.3	184.7	176.2	395	519	265.9
42	193.6	202.5	185.2	422	556	284.1
43	208.4	223.3	193.7	453	595	305
44	226.1	247.9	203.9	487	638	329
45	248.7	277.4	218.6	524	684	355
46	277.6	313	240.2	565	734	384
47	313	355	268.4	608	787	413
48	353	403	302	653	844	443
49	398	455	340	702	905	474
50	445	512	379	753	968	506
51	491	570	414	805	1,034	539
52	536	629	445	859	1,101	576
53	581	691	474	916	1,170	617
54	627	756	500	976	1,241	663
55	677	828	526	1,041	1,315	712
56	733	907	555	1,109	1,393	764
57	794	992	588	1,180	1,476	819
58	858	1,077	626	1,252	1,564	874
59	924	1,157	672	1,325	1,658	931
60	987	1,223	727	1,399	1,755	989
61	1,047	1,272	795	1,474	1,854	1,052
62	1,104	1,304	877	1,557	1,952	1,121
63	1,162	1,328	970	1,648	2,047	1,198
64	1,226	1,356	1,070	1,747	2,138	1,284
65	1,298	1,399	1,173	1,846	2,224	1,380
66	1,383	1,469	1,276	1,943	2,305	1,485
67	1,483	1,568	1,373	2,042	2,383	1,597
68	1,594	1,692	1,467	2,139	2,458	1,717
69	1,715	1,835	1,562	2,231	2,528	1,842
70	1,842	1,992	1,660	2,329	2,592	1,973
71	1,976	2,156	1,770	2,432	2,649	2,111
72	2,113	2,318	1,890	2,532	2,696	2,256
73	2,250	2,474	2,019	2,625	2,732	2,408
74	2,389	2,621	2,157	2,714	2,755	2,566
75	2,529	2,753	2,300	2,795	2,766	2,727
76	2,666	2,872	2,452	2,861	2,762	2,887
77	2,795	2,973	2,604	2,912	2,743	3,042
78	2,913	3,056	2,754	2,948	2,706	3,186
79	3,019	3,125	2,898	2,965	2,650	3,313
80	3,113	3,182	3,032	2,966	2,571	3,417
81	3,198	3,234	3,154	2,938	2,468	3,491
82	3,267	3,271	3,257	2,881	2,341	3,529
83	3,313	3,287	3,338	2,797	2,193	3,527
84	3,333	3,270	3,396	2,684	2,027	3,481
85	3,318	3,213	3,430	2,546	1,850	3,387
86	3,267	3,109	3,438	2,383	1,666	3,247
87	3,178	2,960	3,415	2,194	1,479	3,062
88	3,051	2,770	3,357	1,990	1,293	2,836
89	2,887	2,549	3,255	1,773	1,111	2,577
90	2,691	2,306	3,109	1,549	936	2,294
91	2,466	2,048	2,920	1,325	772	1,998
92	2,215	1,783	2,685	1,107	622	1,700
93	1,948	1,515	2,420	901	488	1,412
94	1,675	1,250	2,138	716	374	1,142
95	1,401	998	1,841	555	278.8	899
96	1,140	769	1,545	418	202.5	688
97	894	567	1,251	306	143	511
98	674	397	975	217.7	98.2	368
99	485	262.8	728	149.9	65.5	256.6
100	229.5	46.3	429	26.2	0	63.1

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 Sao Tome and Principe 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 Sao Tome and Principe: Complete comparison

By topic vs comparisons:

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