Life Expectancy in Bangladesh vs Sao Tome and Principe (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Sao Tome and Principe

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Sao Tome
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102	101.8	102.1
99	101.2	100.9	101.3	101.1	100.9	101.2
98	100.3	99.9	100.4	100.2	100.1	100.3
97	99.4	99.1	99.6	99.3	99.2	99.4
96	98.6	98.2	98.8	98.4	98.3	98.5
95	97.8	97.4	98	97.6	97.4	97.7
94	97	96.6	97.2	96.8	96.6	96.8
93	96.3	95.9	96.5	95.9	95.7	96
92	95.5	95.1	95.8	95.1	94.9	95.2
91	94.8	94.4	95.1	94.3	94.1	94.4
90	94.1	93.6	94.4	93.5	93.2	93.7
89	93.4	92.9	93.8	92.8	92.4	92.9
88	92.8	92.2	93.1	92	91.7	92.2
87	92.1	91.6	92.5	91.3	90.9	91.5
86	91.5	90.9	91.9	90.6	90.1	90.8
85	90.9	90.3	91.3	89.9	89.4	90.1
84	90.3	89.6	90.8	89.2	88.7	89.5
83	89.7	89	90.2	88.5	87.9	88.9
82	89.2	88.5	89.7	87.9	87.2	88.3
81	88.6	87.9	89.2	87.3	86.6	87.7
80	88.1	87.4	88.7	86.6	85.9	87.1
79	87.6	86.8	88.3	86	85.2	86.6
78	87.1	86.3	87.8	85.5	84.6	86.1
77	86.7	85.8	87.4	84.9	84	85.6
76	86.2	85.4	87	84.4	83.4	85.2
75	85.8	84.9	86.6	83.9	82.8	84.7
74	85.4	84.5	86.2	83.4	82.2	84.3
73	85	84	85.9	82.9	81.6	83.9
72	84.6	83.6	85.5	82.4	81.1	83.5
71	84.2	83.2	85.2	81.9	80.6	83.2
70	83.9	82.9	84.9	81.5	80	82.8
69	83.6	82.5	84.6	81.1	79.5	82.5
68	83.3	82.2	84.3	80.6	79.1	82.2
67	83	81.9	84	80.2	78.6	81.8
66	82.7	81.6	83.8	79.9	78.1	81.6
65	82.4	81.3	83.5	79.5	77.7	81.3
64	82.2	81.1	83.3	79.1	77.2	81
63	81.9	80.8	83.1	78.8	76.8	80.8
62	81.6	80.5	82.9	78.4	76.4	80.5
61	81.4	80.2	82.7	78.1	76	80.3
60	81.2	79.9	82.5	77.8	75.6	80
59	80.9	79.6	82.3	77.5	75.3	79.8
58	80.7	79.4	82.2	77.2	74.9	79.6
57	80.5	79.1	82	76.9	74.6	79.4
56	80.3	78.9	81.8	76.6	74.3	79.2
55	80.1	78.7	81.7	76.4	74	79
54	80	78.5	81.5	76.1	73.7	78.8
53	79.8	78.3	81.4	75.9	73.4	78.7
52	79.7	78.1	81.3	75.7	73.1	78.5
51	79.5	78	81.1	75.4	72.8	78.3
50	79.4	77.8	81	75.2	72.6	78.2
49	79.2	77.7	80.9	75	72.3	78
48	79.1	77.6	80.8	74.8	72.1	77.9
47	79	77.4	80.7	74.7	71.9	77.8
46	78.9	77.3	80.6	74.5	71.7	77.6
45	78.8	77.3	80.5	74.3	71.5	77.5
44	78.8	77.2	80.5	74.2	71.3	77.4
43	78.7	77.1	80.4	74	71.1	77.3
42	78.6	77	80.3	73.9	70.9	77.2
41	78.5	77	80.2	73.7	70.8	77.1
40	78.5	76.9	80.2	73.6	70.6	77
39	78.4	76.8	80.1	73.5	70.5	76.9
38	78.4	76.8	80.1	73.4	70.3	76.8
37	78.3	76.7	80	73.3	70.2	76.7
36	78.3	76.7	80	73.1	70	76.7
35	78.2	76.6	79.9	73	69.9	76.6
34	78.2	76.6	79.9	72.9	69.8	76.5
33	78.1	76.5	79.8	72.8	69.7	76.4
32	78.1	76.5	79.8	72.7	69.5	76.4
31	78	76.4	79.8	72.7	69.4	76.3
30	78	76.4	79.7	72.6	69.3	76.2
29	77.9	76.3	79.7	72.5	69.2	76.2
28	77.9	76.3	79.6	72.4	69.1	76.1
27	77.8	76.2	79.6	72.3	69	76
26	77.8	76.2	79.6	72.2	68.9	76
25	77.8	76.1	79.5	72.1	68.8	75.9
24	77.7	76.1	79.5	72	68.6	75.9
23	77.7	76	79.4	71.9	68.5	75.8
22	77.6	76	79.4	71.9	68.4	75.8
21	77.6	75.9	79.3	71.8	68.3	75.7
20	77.5	75.9	79.3	71.7	68.2	75.6
19	77.5	75.8	79.2	71.6	68.1	75.6
18	77.4	75.8	79.2	71.5	68	75.5
17	77.4	75.7	79.1	71.5	68	75.5
16	77.3	75.7	79.1	71.4	67.9	75.4
15	77.3	75.6	79	71.4	67.9	75.4
14	77.2	75.6	79	71.3	67.8	75.3
13	77.2	75.6	78.9	71.3	67.8	75.3
12	77.2	75.5	78.9	71.3	67.8	75.3
11	77.1	75.5	78.9	71.3	67.8	75.3
10	77.1	75.5	78.9	71.3	67.7	75.2
9	77.1	75.5	78.8	71.2	67.7	75.2
8	77.1	75.4	78.8	71.2	67.7	75.2
7	77	75.4	78.8	71.2	67.7	75.2
6	77	75.3	78.7	71.2	67.6	75.1
5	76.9	75.3	78.6	71.1	67.6	75.1
4	76.9	75.2	78.6	71.1	67.6	75.1
3	76.8	75.2	78.5	71.1	67.6	75
2	76.8	75.2	78.5	71	67.5	75
1	76.6	75	78.3	71	67.5	75
0	75.5	73.8	77.2	70.3	66.7	74.3

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 72.6 in Sao Tome and Principe, rising to 82.4 and 79.5 at 65, and to 88.1 and 86.6 at 80 — higher than the 75.5 and 70.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Sao Tome and Principe

Male

Female

1x

Age	Survival probability
	Bangladesh			Sao Tome
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.27%	0.11%	0.47%
99	1.37%	0.63%	2.15%	0.42%	0.18%	0.73%
98	2.06%	1.05%	3.16%	0.65%	0.28%	1.11%
97	2.99%	1.63%	4.44%	0.96%	0.42%	1.64%
96	4.16%	2.43%	6.03%	1.39%	0.63%	2.34%
95	5.6%	3.46%	7.92%	1.96%	0.91%	3.26%
94	7.32%	4.75%	10.1%	2.69%	1.3%	4.42%
93	9.32%	6.3%	12.6%	3.61%	1.79%	5.86%
92	11.6%	8.13%	15.3%	4.73%	2.43%	7.58%
91	14.1%	10.2%	18.3%	6.08%	3.21%	9.61%
90	16.8%	12.6%	21.4%	7.65%	4.16%	11.9%
89	19.8%	15.2%	24.7%	9.44%	5.29%	14.5%
88	22.9%	18%	28.1%	11.5%	6.6%	17.4%
87	26.1%	21%	31.6%	13.7%	8.09%	20.5%
86	29.4%	24.1%	35%	16.1%	9.78%	23.7%
85	32.7%	27.4%	38.5%	18.6%	11.6%	27.2%
84	36.1%	30.7%	41.9%	21.3%	13.7%	30.7%
83	39.4%	34%	45.2%	24.2%	15.9%	34.2%
82	42.7%	37.3%	48.5%	27.1%	18.3%	37.7%
81	45.9%	40.5%	51.7%	30%	20.7%	41.2%
80	49%	43.7%	54.7%	33%	23.3%	44.7%
79	52%	46.8%	57.6%	36%	26%	48%
78	54.9%	49.9%	60.3%	38.9%	28.7%	51.2%
77	57.7%	52.9%	62.9%	41.9%	31.5%	54.2%
76	60.4%	55.7%	65.3%	44.7%	34.2%	57.1%
75	62.9%	58.5%	67.6%	47.5%	37%	59.8%
74	65.2%	61.1%	69.8%	50.2%	39.8%	62.4%
73	67.5%	63.5%	71.8%	52.9%	42.5%	64.8%
72	69.6%	65.8%	73.6%	55.4%	45.2%	67%
71	71.5%	68%	75.4%	57.8%	47.9%	69.1%
70	73.4%	69.9%	77%	60.1%	50.5%	71.1%
69	75.1%	71.8%	78.6%	62.4%	53%	72.9%
68	76.6%	73.4%	80%	64.5%	55.5%	74.6%
67	78.1%	75%	81.4%	66.5%	57.8%	76.2%
66	79.5%	76.4%	82.6%	68.5%	60.1%	77.7%
65	80.7%	77.8%	83.8%	70.3%	62.4%	79.1%
64	81.9%	79.2%	84.8%	72%	64.5%	80.3%
63	83.1%	80.5%	85.8%	73.7%	66.5%	81.5%
62	84.2%	81.8%	86.6%	75.2%	68.5%	82.6%
61	85.2%	83%	87.4%	76.7%	70.3%	83.7%
60	86.2%	84.2%	88.1%	78.1%	72.1%	84.7%
59	87.1%	85.4%	88.8%	79.4%	73.7%	85.6%
58	87.9%	86.4%	89.4%	80.7%	75.3%	86.5%
57	88.7%	87.4%	90%	81.8%	76.8%	87.3%
56	89.4%	88.3%	90.5%	82.9%	78.2%	88%
55	90.1%	89.1%	91%	84%	79.5%	88.7%
54	90.7%	89.8%	91.5%	84.9%	80.7%	89.4%
53	91.3%	90.5%	92%	85.8%	81.9%	90%
52	91.8%	91.1%	92.4%	86.7%	83%	90.6%
51	92.3%	91.7%	92.8%	87.5%	84%	91.1%
50	92.7%	92.2%	93.2%	88.2%	84.9%	91.6%
49	93.1%	92.6%	93.5%	88.9%	85.8%	92.1%
48	93.4%	93%	93.8%	89.6%	86.7%	92.5%
47	93.8%	93.4%	94.1%	90.2%	87.5%	92.9%
46	94%	93.7%	94.3%	90.7%	88.2%	93.3%
45	94.3%	94%	94.5%	91.3%	88.9%	93.7%
44	94.5%	94.2%	94.7%	91.7%	89.5%	94%
43	94.7%	94.4%	94.9%	92.2%	90.1%	94.3%
42	94.9%	94.6%	95.1%	92.6%	90.6%	94.6%
41	95.1%	94.8%	95.3%	93%	91.1%	94.8%
40	95.2%	95%	95.5%	93.3%	91.6%	95.1%
39	95.4%	95.1%	95.6%	93.7%	92.1%	95.3%
38	95.5%	95.3%	95.7%	94%	92.5%	95.5%
37	95.6%	95.4%	95.8%	94.3%	92.9%	95.7%
36	95.7%	95.5%	95.9%	94.6%	93.3%	95.9%
35	95.9%	95.6%	96%	94.9%	93.6%	96.1%
34	96%	95.8%	96.1%	95.1%	93.9%	96.3%
33	96.1%	95.9%	96.2%	95.3%	94.3%	96.4%
32	96.2%	96%	96.3%	95.6%	94.6%	96.6%
31	96.3%	96.1%	96.4%	95.8%	94.9%	96.7%
30	96.3%	96.2%	96.5%	96%	95.1%	96.8%
29	96.4%	96.3%	96.5%	96.2%	95.4%	97%
28	96.5%	96.4%	96.6%	96.4%	95.7%	97.1%
27	96.6%	96.5%	96.7%	96.6%	95.9%	97.2%
26	96.7%	96.6%	96.8%	96.8%	96.2%	97.4%
25	96.7%	96.7%	96.8%	97%	96.4%	97.5%
24	96.8%	96.7%	96.9%	97.1%	96.7%	97.6%
23	96.9%	96.8%	97%	97.3%	96.9%	97.7%
22	97%	96.9%	97%	97.5%	97.1%	97.8%
21	97%	97%	97.1%	97.6%	97.4%	97.9%
20	97.1%	97.1%	97.2%	97.8%	97.6%	98%
19	97.2%	97.2%	97.3%	98%	97.8%	98.1%
18	97.3%	97.3%	97.4%	98.1%	98%	98.2%
17	97.4%	97.4%	97.5%	98.2%	98.1%	98.3%
16	97.5%	97.4%	97.6%	98.3%	98.2%	98.4%
15	97.6%	97.5%	97.6%	98.4%	98.3%	98.5%
14	97.6%	97.6%	97.7%	98.4%	98.3%	98.5%
13	97.7%	97.6%	97.8%	98.5%	98.4%	98.6%
12	97.7%	97.7%	97.8%	98.5%	98.4%	98.6%
11	97.8%	97.7%	97.8%	98.5%	98.4%	98.6%
10	97.8%	97.8%	97.9%	98.6%	98.5%	98.7%
9	97.9%	97.8%	97.9%	98.6%	98.5%	98.7%
8	97.9%	97.8%	98%	98.6%	98.6%	98.7%
7	98%	97.9%	98%	98.7%	98.6%	98.8%
6	98%	97.9%	98.1%	98.7%	98.6%	98.8%
5	98.1%	98%	98.2%	98.8%	98.7%	98.9%
4	98.2%	98.1%	98.3%	98.8%	98.7%	98.9%
3	98.2%	98.1%	98.3%	98.9%	98.8%	99%
2	98.3%	98.2%	98.4%	98.9%	98.8%	99%
1	98.5%	98.4%	98.6%	99%	98.9%	99%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 78.1% in Sao Tome and Principe are expected to live past 60, 73.4% and 60.1% past 70, 49% and 33% past 80, and only 16.8% and 7.65% 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

Sao Tome and Principe

Male

Female

1x

Age	Probability of dying
	Bangladesh			Sao Tome
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	38.5%	39.9%	38%
99	36.9%	43.4%	35%	36.6%	38.2%	36%
98	33.8%	39.5%	31.9%	34.6%	36.4%	34%
97	30.9%	36%	29%	32.7%	34.6%	32%
96	28.2%	32.7%	26.3%	30.8%	32.8%	30.1%
95	25.7%	29.8%	23.8%	29%	31.1%	28.2%
94	23.5%	27.1%	21.6%	27.2%	29.4%	26.3%
93	21.4%	24.7%	19.6%	25.5%	27.7%	24.5%
92	19.5%	22.5%	17.9%	23.8%	26.1%	22.8%
91	17.8%	20.5%	16.2%	22.1%	24.4%	21.1%
90	16.3%	18.7%	14.7%	20.5%	22.8%	19.5%
89	14.8%	17.1%	13.3%	19%	21.3%	17.9%
88	13.5%	15.6%	12.1%	17.6%	19.9%	16.5%
87	12.3%	14.3%	10.9%	16.2%	18.5%	15.1%
86	11.2%	13%	9.89%	14.9%	17.2%	13.8%
85	10.2%	11.9%	8.97%	13.8%	16%	12.5%
84	9.3%	10.8%	8.14%	12.7%	14.9%	11.4%
83	8.45%	9.74%	7.4%	11.7%	13.9%	10.4%
82	7.68%	8.82%	6.72%	10.7%	12.9%	9.38%
81	6.98%	8.01%	6.1%	9.85%	12%	8.48%
80	6.36%	7.29%	5.53%	9.03%	11.1%	7.66%
79	5.8%	6.68%	5.02%	8.29%	10.2%	6.91%
78	5.29%	6.12%	4.54%	7.61%	9.47%	6.23%
77	4.82%	5.61%	4.11%	6.99%	8.75%	5.61%
76	4.39%	5.14%	3.73%	6.42%	8.1%	5.05%
75	3.99%	4.69%	3.37%	5.88%	7.5%	4.55%
74	3.64%	4.27%	3.06%	5.4%	6.95%	4.11%
73	3.32%	3.87%	2.78%	4.96%	6.44%	3.71%
72	3.02%	3.49%	2.54%	4.56%	5.97%	3.36%
71	2.74%	3.15%	2.32%	4.19%	5.54%	3.04%
70	2.49%	2.82%	2.13%	3.87%	5.14%	2.77%
69	2.26%	2.53%	1.96%	3.58%	4.77%	2.52%
68	2.05%	2.28%	1.81%	3.31%	4.43%	2.29%
67	1.87%	2.07%	1.66%	3.06%	4.12%	2.09%
66	1.72%	1.9%	1.52%	2.83%	3.83%	1.9%
65	1.58%	1.78%	1.38%	2.61%	3.56%	1.74%
64	1.47%	1.69%	1.24%	2.4%	3.31%	1.59%
63	1.38%	1.63%	1.11%	2.22%	3.07%	1.46%
62	1.29%	1.57%	0.99%	2.06%	2.84%	1.35%
61	1.21%	1.51%	0.89%	1.92%	2.63%	1.25%
60	1.12%	1.43%	0.81%	1.79%	2.43%	1.16%
59	1.04%	1.33%	0.74%	1.67%	2.24%	1.08%
58	0.96%	1.23%	0.69%	1.55%	2.07%	1%
57	0.88%	1.12%	0.64%	1.43%	1.91%	0.93%
56	0.8%	1.01%	0.6%	1.33%	1.77%	0.86%
55	0.74%	0.91%	0.57%	1.23%	1.65%	0.79%
54	0.68%	0.83%	0.54%	1.14%	1.53%	0.73%
53	0.62%	0.75%	0.5%	1.06%	1.42%	0.68%
52	0.57%	0.68%	0.47%	0.98%	1.32%	0.63%
51	0.52%	0.61%	0.44%	0.91%	1.22%	0.59%
50	0.47%	0.55%	0.4%	0.84%	1.13%	0.55%
49	0.42%	0.48%	0.36%	0.78%	1.05%	0.51%
48	0.37%	0.43%	0.32%	0.72%	0.97%	0.47%
47	0.33%	0.37%	0.28%	0.67%	0.89%	0.44%
46	0.29%	0.33%	0.25%	0.61%	0.82%	0.41%
45	0.26%	0.29%	0.23%	0.57%	0.76%	0.37%
44	0.23%	0.26%	0.21%	0.52%	0.7%	0.34%
43	0.22%	0.23%	0.2%	0.48%	0.65%	0.32%
42	0.2%	0.21%	0.19%	0.45%	0.61%	0.3%
41	0.19%	0.19%	0.18%	0.42%	0.56%	0.28%
40	0.17%	0.18%	0.17%	0.39%	0.52%	0.26%
39	0.16%	0.16%	0.15%	0.36%	0.49%	0.24%
38	0.14%	0.15%	0.14%	0.34%	0.46%	0.23%
37	0.13%	0.14%	0.12%	0.32%	0.43%	0.21%
36	0.12%	0.13%	0.11%	0.3%	0.4%	0.2%
35	0.11%	0.13%	0.1%	0.28%	0.38%	0.19%
34	0.11%	0.12%	0.09%	0.26%	0.36%	0.18%
33	0.1%	0.12%	0.09%	0.25%	0.34%	0.17%
32	0.1%	0.12%	0.09%	0.24%	0.32%	0.16%
31	0.1%	0.12%	0.09%	0.23%	0.31%	0.15%
30	0.1%	0.11%	0.09%	0.22%	0.3%	0.14%
29	0.09%	0.11%	0.08%	0.21%	0.29%	0.14%
28	0.09%	0.1%	0.08%	0.2%	0.28%	0.13%
27	0.08%	0.09%	0.07%	0.2%	0.27%	0.13%
26	0.08%	0.08%	0.07%	0.19%	0.26%	0.12%
25	0.07%	0.08%	0.07%	0.18%	0.25%	0.12%
24	0.07%	0.08%	0.07%	0.18%	0.25%	0.11%
23	0.08%	0.08%	0.07%	0.18%	0.24%	0.11%
22	0.08%	0.08%	0.07%	0.17%	0.24%	0.11%
21	0.08%	0.09%	0.08%	0.17%	0.23%	0.11%
20	0.09%	0.09%	0.09%	0.17%	0.22%	0.11%
19	0.09%	0.1%	0.09%	0.16%	0.2%	0.11%
18	0.1%	0.1%	0.09%	0.14%	0.17%	0.1%
17	0.09%	0.09%	0.09%	0.12%	0.14%	0.09%
16	0.09%	0.09%	0.09%	0.09%	0.11%	0.08%
15	0.08%	0.08%	0.08%	0.07%	0.08%	0.07%
14	0.07%	0.07%	0.07%	0.06%	0.06%	0.05%
13	0.06%	0.05%	0.06%	0.05%	0.05%	0.04%
12	0.05%	0.04%	0.05%	0.04%	0.04%	0.04%
11	0.04%	0.04%	0.04%	0.03%	0.03%	0.04%
10	0.04%	0.03%	0.04%	0.03%	0.03%	0.03%
9	0.04%	0.04%	0.04%	0.03%	0.03%	0.03%
8	0.05%	0.04%	0.05%	0.04%	0.04%	0.04%
7	0.06%	0.05%	0.06%	0.04%	0.04%	0.04%
6	0.07%	0.07%	0.07%	0.04%	0.04%	0.04%
5	0.08%	0.07%	0.08%	0.05%	0.05%	0.04%
4	0.07%	0.07%	0.08%	0.05%	0.05%	0.05%
3	0.06%	0.06%	0.07%	0.05%	0.05%	0.05%
2	0.07%	0.07%	0.07%	0.05%	0.06%	0.05%
1	0.18%	0.18%	0.17%	0.05%	0.06%	0.05%
0	1.53%	1.61%	1.44%	1.03%	1.1%	0.95%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 1.03% in Sao Tome and Principe, 0.1% vs 0.22% at age 30, 1.12% vs 1.79% at 60, and 6.36% vs 9.03% at 80.

Death rate by age in Bangladesh vs Sao Tome and Principe

Chart Table

Bangladesh

Male

Female

Sao Tome and Principe

Male

Female

1x

Age	Death rate
	Bangladesh			Sao Tome
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	28.7	0	67.6
99	504	274.2	753	154.4	67.1	264.1
98	698	414	1,006	223.8	100.6	378
97	924	588	1,288	314	146.3	524
96	1,175	796	1,587	428	206.8	704
95	1,440	1,030	1,887	567	284.5	918
94	1,718	1,287	2,186	731	381	1,163
93	1,995	1,557	2,471	920	497	1,435
92	2,264	1,828	2,735	1,126	632	1,726
91	2,514	2,095	2,969	1,345	784	2,025
90	2,738	2,353	3,155	1,570	950	2,321
89	2,932	2,596	3,297	1,794	1,127	2,604
88	3,093	2,815	3,394	2,012	1,310	2,862
87	3,217	3,003	3,447	2,217	1,497	3,086
86	3,301	3,148	3,465	2,402	1,684	3,269
85	3,347	3,247	3,451	2,564	1,869	3,407
84	3,355	3,299	3,412	2,704	2,046	3,497
83	3,331	3,310	3,348	2,815	2,212	3,540
82	3,279	3,289	3,261	2,901	2,359	3,539
81	3,205	3,246	3,153	2,956	2,485	3,498
80	3,114	3,189	3,027	2,980	2,587	3,421
79	3,015	3,128	2,889	2,983	2,665	3,315
78	2,903	3,054	2,742	2,965	2,720	3,186
77	2,781	2,966	2,589	2,926	2,755	3,041
76	2,649	2,862	2,434	2,870	2,773	2,884
75	2,510	2,740	2,281	2,795	2,775	2,722
74	2,374	2,605	2,137	2,711	2,763	2,561
73	2,238	2,458	1,998	2,622	2,738	2,402
72	2,099	2,301	1,868	2,524	2,701	2,250
71	1,961	2,138	1,748	2,422	2,653	2,104
70	1,826	1,974	1,638	2,325	2,595	1,966
69	1,697	1,817	1,540	2,232	2,529	1,835
68	1,574	1,674	1,445	2,134	2,458	1,709
67	1,463	1,551	1,351	2,033	2,383	1,590
66	1,364	1,452	1,255	1,935	2,304	1,477
65	1,278	1,382	1,154	1,832	2,221	1,373
64	1,206	1,339	1,052	1,732	2,135	1,277
63	1,143	1,310	953	1,638	2,043	1,190
62	1,085	1,285	861	1,552	1,948	1,113
61	1,028	1,253	781	1,475	1,849	1,045
60	968	1,203	714	1,398	1,750	982
59	906	1,138	659	1,322	1,652	924
58	841	1,059	615	1,247	1,558	867
57	778	975	577	1,172	1,469	812
56	718	892	545	1,101	1,386	758
55	664	814	516	1,032	1,308	705
54	615	743	490	968	1,234	656
53	570	679	464	908	1,163	611
52	526	618	437	852	1,094	570
51	482	560	406	797	1,026	533
50	437	503	371	743	961	500
49	391	448	334	693	897	468
48	347	396	296.7	646	837	438
47	307	349	263.5	600	780	408
46	272.6	308	235.8	557	726	378
45	244	272.8	214.7	517	677	350
44	221.8	243.8	200.3	480	631	324
43	204.5	219.6	190.2	447	588	300
42	190.1	199.2	181.9	416	549	279.4
41	177.1	181.7	173	389	513	261.4
40	164	166.5	161.7	363	479	245.4
39	149.7	153.1	146.8	340	449	231
38	135.6	141.5	130.4	319	421	217.4
37	123.1	132.1	115.1	299.7	396	204.2
36	112.9	124.8	102.4	282.2	373	191.5
35	105.6	119.7	93.2	266.2	352	179.6
34	101.3	116.7	87.9	251.8	334	168.8
33	99.2	115.2	85.6	239.2	318	159.4
32	98.3	114.1	85	228.5	305	151.6
31	97.4	112.5	84.9	219	292.9	145
30	95.3	109.1	84	210.6	282.6	139.5
29	90.9	103.1	81.1	203.2	273.5	134.4
28	85.2	95.6	76.8	196.3	265.2	129.4
27	79.3	88.1	72.3	189.9	257.6	124.1
26	74.5	81.9	68.5	183.8	250.7	119
25	71.7	78	66.4	178.3	244.8	114.3
24	71	76.7	66.2	174.2	240.3	110.9
23	73	78.2	68.4	171.8	237	109.2
22	76.9	81.7	72.4	170.5	233.7	109.1
21	81.9	86.3	77.8	168.8	228.3	110.2
20	87.2	90.9	83.5	163.7	217.2	110.7
19	91.1	93.9	88.3	153.1	197.5	108.8
18	92.8	94.5	91	136	169.4	102.7
17	91.4	92	90.8	113.9	135.9	91.9
16	86.6	86.2	87	90.9	103.6	78.3
15	78	77	79	70.6	76.7	64.5
14	66.5	65.4	67.8	55	57.3	52.7
13	54.3	53.3	55.5	44.3	44.7	43.9
12	44.1	43.2	45.1	37.7	37.3	38.2
11	37.7	36.8	38.7	34.4	33.8	35
10	34.4	33.5	35.3	33.4	33	33.9
9	36.2	35	37.5	34.3	34.2	34.4
8	44.9	42.8	47	36.3	36.8	35.9
7	56.8	53.6	60.1	39.1	40.2	37.9
6	67.8	63.8	72.1	42.1	43.8	40.3
5	74.1	69.7	78.7	44.8	47.1	42.5
4	71.7	67.9	75.7	47.3	50	44.5
3	61.4	58.9	63.9	49.4	52.4	46.4
2	70.1	68.9	71.4	51.3	54.5	48.1
1	172.9	175.4	170.2	53.3	56.5	49.9
0	1,530	1,613	1,443	1,028	1,104	950

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 79 in Sao Tome and Principe. The median age of death is 79.7 in Bangladesh and 74.1 in Sao Tome and Principe, 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 Sao Tome and Principe more than their death rates.

Life expectancy in other countries

+ -

1x