Life Expectancy in Bangladesh vs Bolivia (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Bolivia

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Bolivia
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.2	102.1	102.3
99	101.2	100.9	101.3	101.3	101.1	101.4
98	100.3	99.9	100.4	100.4	100.2	100.5
97	99.4	99.1	99.6	99.5	99.3	99.6
96	98.6	98.2	98.8	98.7	98.4	98.8
95	97.8	97.4	98	97.8	97.5	98
94	97	96.6	97.2	97	96.7	97.1
93	96.3	95.9	96.5	96.2	95.9	96.3
92	95.5	95.1	95.8	95.4	95.1	95.6
91	94.8	94.4	95.1	94.6	94.3	94.8
90	94.1	93.6	94.4	93.9	93.6	94.1
89	93.4	92.9	93.8	93.1	92.8	93.3
88	92.8	92.2	93.1	92.4	92.1	92.6
87	92.1	91.6	92.5	91.7	91.3	91.9
86	91.5	90.9	91.9	91	90.6	91.2
85	90.9	90.3	91.3	90.3	89.9	90.5
84	90.3	89.6	90.8	89.6	89.2	89.8
83	89.7	89	90.2	88.9	88.5	89.2
82	89.2	88.5	89.7	88.3	87.8	88.6
81	88.6	87.9	89.2	87.6	87.2	88
80	88.1	87.4	88.7	87	86.6	87.4
79	87.6	86.8	88.3	86.5	86	86.8
78	87.1	86.3	87.8	85.9	85.4	86.3
77	86.7	85.8	87.4	85.4	84.8	85.8
76	86.2	85.4	87	84.8	84.2	85.3
75	85.8	84.9	86.6	84.3	83.7	84.8
74	85.4	84.5	86.2	83.8	83.1	84.4
73	85	84	85.9	83.3	82.6	83.9
72	84.6	83.6	85.5	82.9	82.1	83.5
71	84.2	83.2	85.2	82.4	81.6	83
70	83.9	82.9	84.9	82	81.2	82.6
69	83.6	82.5	84.6	81.5	80.7	82.2
68	83.3	82.2	84.3	81.1	80.3	81.9
67	83	81.9	84	80.7	79.8	81.5
66	82.7	81.6	83.8	80.4	79.4	81.2
65	82.4	81.3	83.5	80	79	80.9
64	82.2	81.1	83.3	79.7	78.7	80.6
63	81.9	80.8	83.1	79.4	78.3	80.3
62	81.6	80.5	82.9	79.1	78	80
61	81.4	80.2	82.7	78.8	77.6	79.8
60	81.2	79.9	82.5	78.5	77.3	79.6
59	80.9	79.6	82.3	78.2	77	79.3
58	80.7	79.4	82.2	78	76.7	79.1
57	80.5	79.1	82	77.7	76.4	78.9
56	80.3	78.9	81.8	77.5	76.2	78.7
55	80.1	78.7	81.7	77.2	75.9	78.5
54	80	78.5	81.5	77	75.7	78.4
53	79.8	78.3	81.4	76.8	75.4	78.2
52	79.7	78.1	81.3	76.6	75.2	78
51	79.5	78	81.1	76.4	75	77.9
50	79.4	77.8	81	76.3	74.8	77.7
49	79.2	77.7	80.9	76.1	74.6	77.6
48	79.1	77.6	80.8	75.9	74.4	77.5
47	79	77.4	80.7	75.7	74.2	77.3
46	78.9	77.3	80.6	75.6	74	77.2
45	78.8	77.3	80.5	75.4	73.8	77.1
44	78.8	77.2	80.5	75.3	73.6	77
43	78.7	77.1	80.4	75.2	73.5	76.8
42	78.6	77	80.3	75	73.3	76.7
41	78.5	77	80.2	74.9	73.2	76.6
40	78.5	76.9	80.2	74.8	73	76.5
39	78.4	76.8	80.1	74.6	72.9	76.4
38	78.4	76.8	80.1	74.5	72.7	76.3
37	78.3	76.7	80	74.4	72.6	76.2
36	78.3	76.7	80	74.3	72.5	76.1
35	78.2	76.6	79.9	74.2	72.3	76
34	78.2	76.6	79.9	74.1	72.2	76
33	78.1	76.5	79.8	74	72.1	75.9
32	78.1	76.5	79.8	73.9	72	75.8
31	78	76.4	79.8	73.8	71.8	75.7
30	78	76.4	79.7	73.7	71.7	75.7
29	77.9	76.3	79.7	73.6	71.6	75.6
28	77.9	76.3	79.6	73.5	71.5	75.5
27	77.8	76.2	79.6	73.4	71.4	75.4
26	77.8	76.2	79.6	73.3	71.3	75.4
25	77.8	76.1	79.5	73.2	71.1	75.3
24	77.7	76.1	79.5	73.1	71	75.3
23	77.7	76	79.4	73	70.9	75.2
22	77.6	76	79.4	72.9	70.8	75.1
21	77.6	75.9	79.3	72.9	70.7	75.1
20	77.5	75.9	79.3	72.8	70.6	75
19	77.5	75.8	79.2	72.7	70.5	75
18	77.4	75.8	79.2	72.6	70.4	74.9
17	77.4	75.7	79.1	72.6	70.3	74.9
16	77.3	75.7	79.1	72.5	70.3	74.9
15	77.3	75.6	79	72.5	70.2	74.8
14	77.2	75.6	79	72.4	70.1	74.8
13	77.2	75.6	78.9	72.4	70.1	74.7
12	77.2	75.5	78.9	72.3	70	74.7
11	77.1	75.5	78.9	72.3	70	74.7
10	77.1	75.5	78.9	72.2	69.9	74.6
9	77.1	75.5	78.8	72.2	69.8	74.6
8	77.1	75.4	78.8	72.1	69.8	74.5
7	77	75.4	78.8	72	69.7	74.5
6	77	75.3	78.7	71.9	69.6	74.4
5	76.9	75.3	78.6	71.8	69.4	74.3
4	76.9	75.2	78.6	71.7	69.3	74.1
3	76.8	75.2	78.5	71.5	69.1	74
2	76.8	75.2	78.5	71.4	69	73.8
1	76.6	75	78.3	71.2	68.8	73.6
0	75.5	73.8	77.2	69.1	66.6	71.7

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 73.7 in Bolivia, rising to 82.4 and 80 at 65, and to 88.1 and 87 at 80 — higher than the 75.5 and 69.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Bolivia

Male

Female

1x

Age	Survival probability
	Bangladesh			Bolivia
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.45%	0.22%	0.68%
99	1.37%	0.63%	2.15%	0.68%	0.36%	1.01%
98	2.06%	1.05%	3.16%	1%	0.56%	1.45%
97	2.99%	1.63%	4.44%	1.44%	0.84%	2.04%
96	4.16%	2.43%	6.03%	2.01%	1.23%	2.8%
95	5.6%	3.46%	7.92%	2.74%	1.74%	3.75%
94	7.32%	4.75%	10.1%	3.64%	2.39%	4.9%
93	9.32%	6.3%	12.6%	4.72%	3.2%	6.26%
92	11.6%	8.13%	15.3%	5.99%	4.18%	7.84%
91	14.1%	10.2%	18.3%	7.47%	5.33%	9.64%
90	16.8%	12.6%	21.4%	9.14%	6.67%	11.7%
89	19.8%	15.2%	24.7%	11%	8.21%	13.9%
88	22.9%	18%	28.1%	13.1%	9.94%	16.3%
87	26.1%	21%	31.6%	15.4%	11.9%	19%
86	29.4%	24.1%	35%	17.8%	14%	21.8%
85	32.7%	27.4%	38.5%	20.5%	16.2%	24.8%
84	36.1%	30.7%	41.9%	23.2%	18.6%	27.9%
83	39.4%	34%	45.2%	26.1%	21.2%	31.1%
82	42.7%	37.3%	48.5%	29%	23.8%	34.4%
81	45.9%	40.5%	51.7%	31.9%	26.5%	37.6%
80	49%	43.7%	54.7%	34.8%	29.2%	40.7%
79	52%	46.8%	57.6%	37.7%	32%	43.8%
78	54.9%	49.9%	60.3%	40.6%	34.7%	46.7%
77	57.7%	52.9%	62.9%	43.4%	37.5%	49.6%
76	60.4%	55.7%	65.3%	46.1%	40.2%	52.4%
75	62.9%	58.5%	67.6%	48.8%	42.9%	55%
74	65.2%	61.1%	69.8%	51.4%	45.6%	57.7%
73	67.5%	63.5%	71.8%	54%	48.1%	60.2%
72	69.6%	65.8%	73.6%	56.5%	50.7%	62.6%
71	71.5%	68%	75.4%	58.8%	53.1%	64.9%
70	73.4%	69.9%	77%	61.1%	55.5%	67.1%
69	75.1%	71.8%	78.6%	63.3%	57.7%	69.2%
68	76.6%	73.4%	80%	65.3%	59.9%	71.1%
67	78.1%	75%	81.4%	67.2%	61.9%	72.9%
66	79.5%	76.4%	82.6%	69%	63.9%	74.5%
65	80.7%	77.8%	83.8%	70.7%	65.7%	76%
64	81.9%	79.2%	84.8%	72.3%	67.4%	77.4%
63	83.1%	80.5%	85.8%	73.7%	69.1%	78.7%
62	84.2%	81.8%	86.6%	75.1%	70.6%	79.8%
61	85.2%	83%	87.4%	76.4%	72%	80.9%
60	86.2%	84.2%	88.1%	77.5%	73.4%	81.9%
59	87.1%	85.4%	88.8%	78.7%	74.7%	82.9%
58	87.9%	86.4%	89.4%	79.7%	75.9%	83.7%
57	88.7%	87.4%	90%	80.7%	77%	84.5%
56	89.4%	88.3%	90.5%	81.6%	78.1%	85.3%
55	90.1%	89.1%	91%	82.4%	79.1%	85.9%
54	90.7%	89.8%	91.5%	83.2%	80%	86.6%
53	91.3%	90.5%	92%	84%	80.9%	87.2%
52	91.8%	91.1%	92.4%	84.6%	81.7%	87.7%
51	92.3%	91.7%	92.8%	85.3%	82.5%	88.2%
50	92.7%	92.2%	93.2%	85.9%	83.2%	88.7%
49	93.1%	92.6%	93.5%	86.5%	83.9%	89.1%
48	93.4%	93%	93.8%	87%	84.5%	89.6%
47	93.8%	93.4%	94.1%	87.5%	85.1%	90%
46	94%	93.7%	94.3%	88%	85.7%	90.3%
45	94.3%	94%	94.5%	88.4%	86.2%	90.7%
44	94.5%	94.2%	94.7%	88.8%	86.7%	91%
43	94.7%	94.4%	94.9%	89.2%	87.2%	91.3%
42	94.9%	94.6%	95.1%	89.6%	87.7%	91.6%
41	95.1%	94.8%	95.3%	90%	88.1%	91.9%
40	95.2%	95%	95.5%	90.3%	88.5%	92.2%
39	95.4%	95.1%	95.6%	90.6%	88.9%	92.4%
38	95.5%	95.3%	95.7%	90.9%	89.2%	92.7%
37	95.6%	95.4%	95.8%	91.2%	89.6%	92.9%
36	95.7%	95.5%	95.9%	91.5%	89.9%	93.1%
35	95.9%	95.6%	96%	91.7%	90.2%	93.3%
34	96%	95.8%	96.1%	92%	90.5%	93.5%
33	96.1%	95.9%	96.2%	92.2%	90.8%	93.7%
32	96.2%	96%	96.3%	92.4%	91.1%	93.8%
31	96.3%	96.1%	96.4%	92.6%	91.4%	94%
30	96.3%	96.2%	96.5%	92.9%	91.6%	94.1%
29	96.4%	96.3%	96.5%	93.1%	91.9%	94.3%
28	96.5%	96.4%	96.6%	93.3%	92.1%	94.4%
27	96.6%	96.5%	96.7%	93.4%	92.4%	94.6%
26	96.7%	96.6%	96.8%	93.6%	92.6%	94.7%
25	96.7%	96.7%	96.8%	93.8%	92.8%	94.8%
24	96.8%	96.7%	96.9%	94%	93.1%	94.9%
23	96.9%	96.8%	97%	94.1%	93.3%	95%
22	97%	96.9%	97%	94.3%	93.5%	95.1%
21	97%	97%	97.1%	94.5%	93.7%	95.2%
20	97.1%	97.1%	97.2%	94.6%	93.9%	95.3%
19	97.2%	97.2%	97.3%	94.7%	94.1%	95.4%
18	97.3%	97.3%	97.4%	94.9%	94.2%	95.5%
17	97.4%	97.4%	97.5%	95%	94.4%	95.6%
16	97.5%	97.4%	97.6%	95.1%	94.5%	95.6%
15	97.6%	97.5%	97.6%	95.1%	94.6%	95.7%
14	97.6%	97.6%	97.7%	95.2%	94.7%	95.7%
13	97.7%	97.6%	97.8%	95.3%	94.8%	95.8%
12	97.7%	97.7%	97.8%	95.4%	94.9%	95.8%
11	97.8%	97.7%	97.8%	95.4%	95%	95.9%
10	97.8%	97.8%	97.9%	95.5%	95.1%	96%
9	97.9%	97.8%	97.9%	95.6%	95.2%	96%
8	97.9%	97.8%	98%	95.7%	95.3%	96.1%
7	98%	97.9%	98%	95.8%	95.5%	96.2%
6	98%	97.9%	98.1%	96%	95.6%	96.3%
5	98.1%	98%	98.2%	96.2%	95.8%	96.5%
4	98.2%	98.1%	98.3%	96.3%	96%	96.7%
3	98.2%	98.1%	98.3%	96.5%	96.2%	96.9%
2	98.3%	98.2%	98.4%	96.8%	96.5%	97.1%
1	98.5%	98.4%	98.6%	97%	96.7%	97.4%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 77.5% in Bolivia are expected to live past 60, 73.4% and 61.1% past 70, 49% and 34.8% past 80, and only 16.8% and 9.14% 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

Bolivia

Male

Female

1x

Age	Probability of dying
	Bangladesh			Bolivia
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	35.5%	39.7%	34.1%
99	36.9%	43.4%	35%	33.7%	37.5%	32.3%
98	33.8%	39.5%	31.9%	32%	35.6%	30.6%
97	30.9%	36%	29%	30.3%	33.7%	28.9%
96	28.2%	32.7%	26.3%	28.5%	31.6%	27.1%
95	25.7%	29.8%	23.8%	26.6%	29.4%	25.3%
94	23.5%	27.1%	21.6%	24.7%	27.3%	23.5%
93	21.4%	24.7%	19.6%	23%	25.3%	21.8%
92	19.5%	22.5%	17.9%	21.3%	23.4%	20.1%
91	17.8%	20.5%	16.2%	19.7%	21.6%	18.7%
90	16.3%	18.7%	14.7%	18.3%	20.1%	17.3%
89	14.8%	17.1%	13.3%	17%	18.7%	16.1%
88	13.5%	15.6%	12.1%	15.9%	17.4%	15%
87	12.3%	14.3%	10.9%	14.8%	16.2%	14%
86	11.2%	13%	9.89%	13.8%	15.1%	13%
85	10.2%	11.9%	8.97%	12.8%	14%	12.1%
84	9.3%	10.8%	8.14%	11.9%	12.9%	11.2%
83	8.45%	9.74%	7.4%	10.9%	11.9%	10.3%
82	7.68%	8.82%	6.72%	10%	11%	9.38%
81	6.98%	8.01%	6.1%	9.2%	10.1%	8.52%
80	6.36%	7.29%	5.53%	8.41%	9.35%	7.72%
79	5.8%	6.68%	5.02%	7.68%	8.62%	6.98%
78	5.29%	6.12%	4.54%	7.04%	7.95%	6.34%
77	4.82%	5.61%	4.11%	6.46%	7.35%	5.78%
76	4.39%	5.14%	3.73%	5.95%	6.79%	5.3%
75	3.99%	4.69%	3.37%	5.51%	6.28%	4.89%
74	3.64%	4.27%	3.06%	5.1%	5.81%	4.52%
73	3.32%	3.87%	2.78%	4.73%	5.38%	4.19%
72	3.02%	3.49%	2.54%	4.38%	4.98%	3.87%
71	2.74%	3.15%	2.32%	4.04%	4.6%	3.56%
70	2.49%	2.82%	2.13%	3.72%	4.25%	3.26%
69	2.26%	2.53%	1.96%	3.42%	3.92%	2.97%
68	2.05%	2.28%	1.81%	3.13%	3.61%	2.7%
67	1.87%	2.07%	1.66%	2.85%	3.32%	2.44%
66	1.72%	1.9%	1.52%	2.6%	3.04%	2.2%
65	1.58%	1.78%	1.38%	2.36%	2.78%	1.98%
64	1.47%	1.69%	1.24%	2.16%	2.55%	1.79%
63	1.38%	1.63%	1.11%	1.97%	2.35%	1.62%
62	1.29%	1.57%	0.99%	1.81%	2.16%	1.47%
61	1.21%	1.51%	0.89%	1.66%	2%	1.34%
60	1.12%	1.43%	0.81%	1.54%	1.86%	1.23%
59	1.04%	1.33%	0.74%	1.42%	1.73%	1.13%
58	0.96%	1.23%	0.69%	1.31%	1.6%	1.03%
57	0.88%	1.12%	0.64%	1.21%	1.49%	0.94%
56	0.8%	1.01%	0.6%	1.12%	1.37%	0.86%
55	0.74%	0.91%	0.57%	1.03%	1.26%	0.79%
54	0.68%	0.83%	0.54%	0.94%	1.16%	0.73%
53	0.62%	0.75%	0.5%	0.87%	1.08%	0.67%
52	0.57%	0.68%	0.47%	0.81%	1%	0.62%
51	0.52%	0.61%	0.44%	0.75%	0.93%	0.58%
50	0.47%	0.55%	0.4%	0.7%	0.87%	0.54%
49	0.42%	0.48%	0.36%	0.66%	0.81%	0.5%
48	0.37%	0.43%	0.32%	0.62%	0.76%	0.47%
47	0.33%	0.37%	0.28%	0.58%	0.71%	0.44%
46	0.29%	0.33%	0.25%	0.54%	0.66%	0.41%
45	0.26%	0.29%	0.23%	0.5%	0.62%	0.39%
44	0.23%	0.26%	0.21%	0.47%	0.58%	0.36%
43	0.22%	0.23%	0.2%	0.44%	0.54%	0.34%
42	0.2%	0.21%	0.19%	0.42%	0.51%	0.32%
41	0.19%	0.19%	0.18%	0.39%	0.48%	0.3%
40	0.17%	0.18%	0.17%	0.37%	0.45%	0.29%
39	0.16%	0.16%	0.15%	0.35%	0.43%	0.27%
38	0.14%	0.15%	0.14%	0.33%	0.41%	0.26%
37	0.13%	0.14%	0.12%	0.32%	0.39%	0.24%
36	0.12%	0.13%	0.11%	0.3%	0.37%	0.23%
35	0.11%	0.13%	0.1%	0.28%	0.35%	0.21%
34	0.11%	0.12%	0.09%	0.27%	0.33%	0.2%
33	0.1%	0.12%	0.09%	0.25%	0.32%	0.19%
32	0.1%	0.12%	0.09%	0.24%	0.3%	0.18%
31	0.1%	0.12%	0.09%	0.23%	0.29%	0.17%
30	0.1%	0.11%	0.09%	0.22%	0.28%	0.16%
29	0.09%	0.11%	0.08%	0.22%	0.28%	0.15%
28	0.09%	0.1%	0.08%	0.21%	0.27%	0.15%
27	0.08%	0.09%	0.07%	0.2%	0.27%	0.14%
26	0.08%	0.08%	0.07%	0.2%	0.26%	0.13%
25	0.07%	0.08%	0.07%	0.19%	0.26%	0.13%
24	0.07%	0.08%	0.07%	0.18%	0.25%	0.12%
23	0.08%	0.08%	0.07%	0.18%	0.24%	0.11%
22	0.08%	0.08%	0.07%	0.17%	0.23%	0.11%
21	0.08%	0.09%	0.08%	0.16%	0.22%	0.1%
20	0.09%	0.09%	0.09%	0.15%	0.2%	0.1%
19	0.09%	0.1%	0.09%	0.14%	0.18%	0.09%
18	0.1%	0.1%	0.09%	0.13%	0.17%	0.08%
17	0.09%	0.09%	0.09%	0.11%	0.15%	0.08%
16	0.09%	0.09%	0.09%	0.1%	0.13%	0.07%
15	0.08%	0.08%	0.08%	0.09%	0.12%	0.06%
14	0.07%	0.07%	0.07%	0.08%	0.11%	0.06%
13	0.06%	0.05%	0.06%	0.08%	0.1%	0.05%
12	0.05%	0.04%	0.05%	0.07%	0.1%	0.05%
11	0.04%	0.04%	0.04%	0.08%	0.1%	0.06%
10	0.04%	0.03%	0.04%	0.08%	0.11%	0.06%
9	0.04%	0.04%	0.04%	0.1%	0.12%	0.07%
8	0.05%	0.04%	0.05%	0.11%	0.13%	0.09%
7	0.06%	0.05%	0.06%	0.13%	0.15%	0.11%
6	0.07%	0.07%	0.07%	0.15%	0.17%	0.13%
5	0.08%	0.07%	0.08%	0.17%	0.19%	0.15%
4	0.07%	0.07%	0.08%	0.2%	0.21%	0.18%
3	0.06%	0.06%	0.07%	0.22%	0.23%	0.21%
2	0.07%	0.07%	0.07%	0.24%	0.25%	0.23%
1	0.18%	0.18%	0.17%	0.27%	0.27%	0.27%
0	1.53%	1.61%	1.44%	2.96%	3.25%	2.65%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.96% in Bolivia, 0.1% vs 0.22% at age 30, 1.12% vs 1.54% at 60, and 6.36% vs 8.41% at 80.

Death rate by age in Bangladesh vs Bolivia

Chart Table

Bangladesh

Male

Female

Bolivia

Male

Female

1x

Age	Death rate
	Bangladesh			Bolivia
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	82.4	19.8	145.5
99	504	274.2	753	229.3	134.6	325
98	698	414	1,006	321	198.6	445
97	924	588	1,288	435	282.8	590
96	1,175	796	1,587	572	388	759
95	1,440	1,030	1,887	728	512	948
94	1,718	1,287	2,186	900	654	1,151
93	1,995	1,557	2,471	1,083	809	1,363
92	2,264	1,828	2,735	1,275	976	1,580
91	2,514	2,095	2,969	1,472	1,153	1,800
90	2,738	2,353	3,155	1,674	1,340	2,019
89	2,932	2,596	3,297	1,878	1,535	2,237
88	3,093	2,815	3,394	2,080	1,732	2,449
87	3,217	3,003	3,447	2,276	1,925	2,651
86	3,301	3,148	3,465	2,459	2,106	2,836
85	3,347	3,247	3,451	2,620	2,270	2,994
84	3,355	3,299	3,412	2,752	2,411	3,116
83	3,331	3,310	3,348	2,849	2,527	3,194
82	3,279	3,289	3,261	2,909	2,618	3,221
81	3,205	3,246	3,153	2,934	2,686	3,201
80	3,114	3,189	3,027	2,927	2,731	3,141
79	3,015	3,128	2,889	2,899	2,756	3,056
78	2,903	3,054	2,742	2,856	2,763	2,960
77	2,781	2,966	2,589	2,803	2,753	2,864
76	2,649	2,862	2,434	2,747	2,730	2,775
75	2,510	2,740	2,281	2,688	2,693	2,691
74	2,374	2,605	2,137	2,625	2,646	2,609
73	2,238	2,458	1,998	2,554	2,588	2,522
72	2,099	2,301	1,868	2,473	2,521	2,425
71	1,961	2,138	1,748	2,380	2,445	2,314
70	1,826	1,974	1,638	2,276	2,359	2,191
69	1,697	1,817	1,540	2,163	2,265	2,057
68	1,574	1,674	1,445	2,042	2,163	1,917
67	1,463	1,551	1,351	1,918	2,054	1,776
66	1,364	1,452	1,255	1,793	1,941	1,639
65	1,278	1,382	1,154	1,672	1,829	1,508
64	1,206	1,339	1,052	1,558	1,721	1,386
63	1,143	1,310	953	1,453	1,619	1,276
62	1,085	1,285	861	1,357	1,527	1,176
61	1,028	1,253	781	1,271	1,443	1,087
60	968	1,203	714	1,192	1,365	1,007
59	906	1,138	659	1,118	1,290	932
58	841	1,059	615	1,047	1,217	863
57	778	975	577	978	1,144	798
56	718	892	545	911	1,071	737
55	664	814	516	846	1,000	680
54	615	743	490	786	932	629
53	570	679	464	732	870	583
52	526	618	437	683	814	543
51	482	560	406	641	765	509
50	437	503	371	603	720	478
49	391	448	334	568	680	450
48	347	396	296.7	535	641	424
47	307	349	263.5	504	604	399
46	272.6	308	235.8	474	568	375
45	244	272.8	214.7	445	533	352
44	221.8	243.8	200.3	418	501	330
43	204.5	219.6	190.2	394	471	311
42	190.1	199.2	181.9	372	445	293.9
41	177.1	181.7	173	353	423	278.9
40	164	166.5	161.7	336	402	265.2
39	149.7	153.1	146.8	320	384	252.3
38	135.6	141.5	130.4	304	366	239.5
37	123.1	132.1	115.1	288.9	348	226.5
36	112.9	124.8	102.4	273.7	331	213.3
35	105.6	119.7	93.2	258.9	315	200.3
34	101.3	116.7	87.9	245.1	299.8	188.2
33	99.2	115.2	85.6	233	286.6	177.2
32	98.3	114.1	85	222.8	275.6	167.7
31	97.4	112.5	84.9	214.3	266.8	159.6
30	95.3	109.1	84	207.4	260.1	152.6
29	90.9	103.1	81.1	201.6	254.9	146
28	85.2	95.6	76.8	196.2	250.6	139.6
27	79.3	88.1	72.3	190.9	246.6	132.9
26	74.5	81.9	68.5	185.4	242.3	126.1
25	71.7	78	66.4	179.4	237.3	119.2
24	71	76.7	66.2	173.2	231.1	112.9
23	73	78.2	68.4	166.5	223.4	107.2
22	76.9	81.7	72.4	159.3	214.1	102.2
21	81.9	86.3	77.8	151.3	202.7	97.7
20	87.2	90.9	83.5	142.1	189.3	93
19	91.1	93.9	88.3	131.6	173.8	87.5
18	92.8	94.5	91	119.8	157.1	80.9
17	91.4	92	90.8	107.3	139.9	73.3
16	86.6	86.2	87	95.3	123.8	65.6
15	78	77	79	84.9	110.1	58.6
14	66.5	65.4	67.8	77.1	99.8	53.3
13	54.3	53.3	55.5	72.5	93.6	50.5
12	44.1	43.2	45.1	71.5	91.7	50.4
11	37.7	36.8	38.7	74.3	94.2	53.5
10	34.4	33.5	35.3	81	101	60.1
9	36.2	35	37.5	91.8	112	70.7
8	44.9	42.8	47	106.6	126.8	85.5
7	56.8	53.6	60.1	124.5	144.1	104
6	67.8	63.8	72.1	144.8	163.1	125.6
5	74.1	69.7	78.7	166.1	182.4	149.1
4	71.7	67.9	75.7	188.1	201.6	173.9
3	61.4	58.9	63.9	210.6	220.7	200
2	70.1	68.9	71.4	234.2	240.2	227.9
1	172.9	175.4	170.2	260.2	261.3	259.1
0	1,530	1,613	1,443	2,956	3,254	2,646

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 Bolivia. The median age of death is 79.7 in Bangladesh and 74.5 in Bolivia, 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 Bolivia more than their death rates.

Life expectancy in other countries

+ -

1x