Life Expectancy in Bangladesh vs Zimbabwe (1950-2026)

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 Zimbabwe: 78 years vs 68.5 at 30, 82.4 vs 78.3 at 65, 88.1 vs 86.4 at 80 — significantly higher than the 75.5 vs 63.6 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 Zimbabwe.

Table

Current age, years	Total life expectancy, years
	Bangladesh			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	75.5	73.8	77.2	63.6	61	65.9
1	76.6	75	78.3	65.6	63.2	67.7
2	76.8	75.2	78.5	66	63.5	68.1
3	76.8	75.2	78.5	66.2	63.6	68.3
4	76.9	75.2	78.6	66.3	63.8	68.4
5	76.9	75.3	78.6	66.4	63.9	68.5
6	77	75.3	78.7	66.5	64	68.6
7	77	75.4	78.8	66.5	64	68.7
8	77.1	75.4	78.8	66.6	64.1	68.7
9	77.1	75.5	78.8	66.6	64.1	68.8
10	77.1	75.5	78.9	66.7	64.2	68.8
11	77.1	75.5	78.9	66.7	64.2	68.8
12	77.2	75.5	78.9	66.8	64.2	68.9
13	77.2	75.6	78.9	66.8	64.3	68.9
14	77.2	75.6	79	66.8	64.3	69
15	77.3	75.6	79	66.9	64.4	69
16	77.3	75.7	79.1	67	64.4	69.1
17	77.4	75.7	79.1	67	64.5	69.1
18	77.4	75.8	79.2	67.1	64.6	69.2
19	77.5	75.8	79.2	67.2	64.7	69.3
20	77.5	75.9	79.3	67.3	64.8	69.3
21	77.6	75.9	79.3	67.4	64.9	69.4
22	77.6	76	79.4	67.5	65	69.5
23	77.7	76	79.4	67.6	65.1	69.6
24	77.7	76.1	79.5	67.7	65.3	69.7
25	77.8	76.1	79.5	67.8	65.4	69.8
26	77.8	76.2	79.6	68	65.5	70
27	77.8	76.2	79.6	68.1	65.7	70.1
28	77.9	76.3	79.6	68.2	65.8	70.2
29	77.9	76.3	79.7	68.4	66	70.4
30	78	76.4	79.7	68.5	66.2	70.5
31	78	76.4	79.8	68.7	66.3	70.6
32	78.1	76.5	79.8	68.9	66.5	70.8
33	78.1	76.5	79.8	69	66.7	71
34	78.2	76.6	79.9	69.2	66.9	71.1
35	78.2	76.6	79.9	69.4	67.1	71.3
36	78.3	76.7	80	69.6	67.3	71.5
37	78.3	76.7	80	69.8	67.5	71.7
38	78.4	76.8	80.1	70	67.8	71.9
39	78.4	76.8	80.1	70.2	68	72
40	78.5	76.9	80.2	70.5	68.2	72.2
41	78.5	77	80.2	70.7	68.5	72.5
42	78.6	77	80.3	70.9	68.7	72.7
43	78.7	77.1	80.4	71.2	69	72.9
44	78.8	77.2	80.5	71.4	69.3	73.1
45	78.8	77.3	80.5	71.7	69.6	73.3
46	78.9	77.3	80.6	71.9	69.9	73.6
47	79	77.4	80.7	72.2	70.2	73.8
48	79.1	77.6	80.8	72.5	70.5	74
49	79.2	77.7	80.9	72.7	70.8	74.3
50	79.4	77.8	81	73	71.1	74.6
51	79.5	78	81.1	73.3	71.4	74.8
52	79.7	78.1	81.3	73.6	71.8	75.1
53	79.8	78.3	81.4	73.9	72.1	75.4
54	80	78.5	81.5	74.2	72.5	75.7
55	80.1	78.7	81.7	74.6	72.8	76
56	80.3	78.9	81.8	74.9	73.2	76.3
57	80.5	79.1	82	75.2	73.6	76.6
58	80.7	79.4	82.2	75.6	74	76.9
59	80.9	79.6	82.3	75.9	74.4	77.2
60	81.2	79.9	82.5	76.3	74.8	77.5
61	81.4	80.2	82.7	76.7	75.2	77.9
62	81.6	80.5	82.9	77.1	75.6	78.2
63	81.9	80.8	83.1	77.5	76.1	78.6
64	82.2	81.1	83.3	77.9	76.5	79
65	82.4	81.3	83.5	78.3	77	79.4
66	82.7	81.6	83.8	78.8	77.5	79.8
67	83	81.9	84	79.2	77.9	80.2
68	83.3	82.2	84.3	79.7	78.4	80.7
69	83.6	82.5	84.6	80.2	79	81.1
70	83.9	82.9	84.9	80.7	79.5	81.6
71	84.2	83.2	85.2	81.2	80	82.1
72	84.6	83.6	85.5	81.7	80.6	82.5
73	85	84	85.9	82.2	81.2	83
74	85.4	84.5	86.2	82.8	81.7	83.5
75	85.8	84.9	86.6	83.4	82.3	84.1
76	86.2	85.4	87	83.9	83	84.6
77	86.7	85.8	87.4	84.5	83.6	85.2
78	87.1	86.3	87.8	85.1	84.2	85.7
79	87.6	86.8	88.3	85.8	84.9	86.3
80	88.1	87.4	88.7	86.4	85.6	86.9
81	88.6	87.9	89.2	87	86.3	87.5
82	89.2	88.5	89.7	87.7	87	88.1
83	89.7	89	90.2	88.4	87.7	88.7
84	90.3	89.6	90.8	89	88.4	89.4
85	90.9	90.3	91.3	89.8	89.2	90.1
86	91.5	90.9	91.9	90.5	90	90.8
87	92.1	91.6	92.5	91.2	90.8	91.5
88	92.8	92.2	93.1	92	91.6	92.2
89	93.4	92.9	93.8	92.8	92.4	93
90	94.1	93.6	94.4	93.6	93.2	93.8
91	94.8	94.4	95.1	94.4	94	94.5
92	95.5	95.1	95.8	95.2	94.9	95.3
93	96.3	95.9	96.5	96	95.7	96.1
94	97	96.6	97.2	96.9	96.6	97
95	97.8	97.4	98	97.7	97.5	97.8
96	98.6	98.2	98.8	98.6	98.4	98.7
97	99.4	99.1	99.6	99.5	99.2	99.5
98	100.3	99.9	100.4	100.4	100.1	100.4
99	101.2	100.9	101.3	101.2	101	101.3
100	102.2	101.9	102.3	102.2	101.9	102.2

Odds of living to age in Bangladesh vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.2% in Bangladesh and 66.2% in Zimbabwe are expected to survive till at least 60 years old, 73.4% and 47.3% will live to 70 years or older, 49% and 23.5% to 80+ years, and 16.8% and 4.99% 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			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	98.5%	98.4%	98.6%	96.9%	96.6%	97.3%
2	98.3%	98.2%	98.4%	96.5%	96.1%	96.8%
3	98.2%	98.1%	98.3%	96.2%	95.8%	96.5%
4	98.2%	98.1%	98.3%	95.9%	95.6%	96.3%
5	98.1%	98%	98.2%	95.8%	95.5%	96.1%
6	98%	97.9%	98.1%	95.7%	95.3%	96%
7	98%	97.9%	98%	95.6%	95.2%	95.9%
8	97.9%	97.8%	98%	95.5%	95.1%	95.8%
9	97.9%	97.8%	97.9%	95.4%	95.1%	95.8%
10	97.8%	97.8%	97.9%	95.3%	95%	95.7%
11	97.8%	97.7%	97.8%	95.3%	94.9%	95.6%
12	97.7%	97.7%	97.8%	95.2%	94.8%	95.6%
13	97.7%	97.6%	97.8%	95.1%	94.8%	95.5%
14	97.6%	97.6%	97.7%	95%	94.7%	95.4%
15	97.6%	97.5%	97.6%	94.9%	94.6%	95.3%
16	97.5%	97.4%	97.6%	94.8%	94.5%	95.2%
17	97.4%	97.4%	97.5%	94.7%	94.3%	95.1%
18	97.3%	97.3%	97.4%	94.6%	94.2%	95%
19	97.2%	97.2%	97.3%	94.4%	94%	94.9%
20	97.1%	97.1%	97.2%	94.2%	93.8%	94.7%
21	97%	97%	97.1%	94%	93.5%	94.5%
22	97%	96.9%	97%	93.8%	93.3%	94.4%
23	96.9%	96.8%	97%	93.6%	93%	94.2%
24	96.8%	96.7%	96.9%	93.3%	92.7%	93.9%
25	96.7%	96.7%	96.8%	93.1%	92.4%	93.7%
26	96.7%	96.6%	96.8%	92.8%	92.1%	93.5%
27	96.6%	96.5%	96.7%	92.5%	91.7%	93.2%
28	96.5%	96.4%	96.6%	92.1%	91.4%	92.9%
29	96.4%	96.3%	96.5%	91.8%	91%	92.6%
30	96.3%	96.2%	96.5%	91.4%	90.6%	92.3%
31	96.3%	96.1%	96.4%	91.1%	90.1%	91.9%
32	96.2%	96%	96.3%	90.7%	89.7%	91.6%
33	96.1%	95.9%	96.2%	90.2%	89.2%	91.2%
34	96%	95.8%	96.1%	89.8%	88.7%	90.8%
35	95.9%	95.6%	96%	89.3%	88.1%	90.4%
36	95.7%	95.5%	95.9%	88.8%	87.5%	89.9%
37	95.6%	95.4%	95.8%	88.2%	86.9%	89.5%
38	95.5%	95.3%	95.7%	87.7%	86.3%	89%
39	95.4%	95.1%	95.6%	87.1%	85.6%	88.4%
40	95.2%	95%	95.5%	86.4%	84.9%	87.9%
41	95.1%	94.8%	95.3%	85.8%	84.1%	87.3%
42	94.9%	94.6%	95.1%	85.1%	83.3%	86.7%
43	94.7%	94.4%	94.9%	84.4%	82.5%	86.1%
44	94.5%	94.2%	94.7%	83.6%	81.6%	85.5%
45	94.3%	94%	94.5%	82.9%	80.7%	84.8%
46	94%	93.7%	94.3%	82%	79.7%	84.1%
47	93.8%	93.4%	94.1%	81.2%	78.7%	83.4%
48	93.4%	93%	93.8%	80.3%	77.7%	82.6%
49	93.1%	92.6%	93.5%	79.4%	76.6%	81.8%
50	92.7%	92.2%	93.2%	78.4%	75.4%	81%
51	92.3%	91.7%	92.8%	77.4%	74.2%	80.1%
52	91.8%	91.1%	92.4%	76.3%	73%	79.1%
53	91.3%	90.5%	92%	75.2%	71.7%	78.2%
54	90.7%	89.8%	91.5%	74.1%	70.3%	77.2%
55	90.1%	89.1%	91%	72.9%	69%	76.1%
56	89.4%	88.3%	90.5%	71.7%	67.5%	75%
57	88.7%	87.4%	90%	70.4%	66%	73.9%
58	87.9%	86.4%	89.4%	69.1%	64.5%	72.7%
59	87.1%	85.4%	88.8%	67.6%	62.9%	71.4%
60	86.2%	84.2%	88.1%	66.2%	61.2%	70.1%
61	85.2%	83%	87.4%	64.6%	59.5%	68.7%
62	84.2%	81.8%	86.6%	63%	57.7%	67.2%
63	83.1%	80.5%	85.8%	61.2%	55.8%	65.7%
64	81.9%	79.2%	84.8%	59.5%	53.8%	64%
65	80.7%	77.8%	83.8%	57.6%	51.8%	62.3%
66	79.5%	76.4%	82.6%	55.6%	49.7%	60.5%
67	78.1%	75%	81.4%	53.6%	47.6%	58.6%
68	76.6%	73.4%	80%	51.6%	45.4%	56.7%
69	75.1%	71.8%	78.6%	49.5%	43.2%	54.7%
70	73.4%	69.9%	77%	47.3%	40.9%	52.6%
71	71.5%	68%	75.4%	45.1%	38.6%	50.4%
72	69.6%	65.8%	73.6%	42.8%	36.3%	48.2%
73	67.5%	63.5%	71.8%	40.4%	33.9%	45.9%
74	65.2%	61.1%	69.8%	38%	31.4%	43.6%
75	62.9%	58.5%	67.6%	35.6%	29%	41.2%
76	60.4%	55.7%	65.3%	33.2%	26.6%	38.7%
77	57.7%	52.9%	62.9%	30.7%	24.3%	36.3%
78	54.9%	49.9%	60.3%	28.3%	21.9%	33.8%
79	52%	46.8%	57.6%	25.9%	19.7%	31.3%
80	49%	43.7%	54.7%	23.5%	17.5%	28.8%
81	45.9%	40.5%	51.7%	21.2%	15.4%	26.4%
82	42.7%	37.3%	48.5%	19%	13.4%	24%
83	39.4%	34%	45.2%	16.8%	11.5%	21.5%
84	36.1%	30.7%	41.9%	14.7%	9.78%	19.1%
85	32.7%	27.4%	38.5%	12.7%	8.2%	16.8%
86	29.4%	24.1%	35%	10.8%	6.78%	14.5%
87	26.1%	21%	31.6%	9.1%	5.53%	12.4%
88	22.9%	18%	28.1%	7.56%	4.44%	10.5%
89	19.8%	15.2%	24.7%	6.18%	3.51%	8.72%
90	16.8%	12.6%	21.4%	4.99%	2.73%	7.15%
91	14.1%	10.2%	18.3%	3.95%	2.09%	5.75%
92	11.6%	8.13%	15.3%	3.08%	1.57%	4.57%
93	9.32%	6.3%	12.6%	2.36%	1.15%	3.55%
94	7.32%	4.75%	10.1%	1.77%	0.83%	2.71%
95	5.6%	3.46%	7.92%	1.3%	0.59%	2.02%
96	4.16%	2.43%	6.03%	0.94%	0.4%	1.47%
97	2.99%	1.63%	4.44%	0.66%	0.27%	1.05%
98	2.06%	1.05%	3.16%	0.46%	0.18%	0.73%
99	1.37%	0.63%	2.15%	0.31%	0.12%	0.5%
100	0.86%	0.36%	1.4%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.53% in the birth year in Bangladesh and 3.05% in Zimbabwe, 0.1% vs 0.42% at age 30, 1.12% vs 2.37% at 60, and 6.36% vs 9.89% at 80.

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

Table

Age	Probability of dying
	Bangladesh			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	1.53%	1.61%	1.44%	3.05%	3.4%	2.7%
1	0.18%	0.18%	0.17%	0.5%	0.48%	0.52%
2	0.07%	0.07%	0.07%	0.32%	0.32%	0.32%
3	0.06%	0.06%	0.07%	0.22%	0.22%	0.22%
4	0.07%	0.07%	0.08%	0.16%	0.17%	0.16%
5	0.08%	0.07%	0.08%	0.12%	0.13%	0.12%
6	0.07%	0.07%	0.07%	0.1%	0.11%	0.1%
7	0.06%	0.05%	0.06%	0.09%	0.1%	0.09%
8	0.05%	0.04%	0.05%	0.08%	0.09%	0.08%
9	0.04%	0.04%	0.04%	0.08%	0.08%	0.07%
10	0.04%	0.03%	0.04%	0.07%	0.08%	0.07%
11	0.04%	0.04%	0.04%	0.07%	0.08%	0.07%
12	0.05%	0.04%	0.05%	0.08%	0.08%	0.07%
13	0.06%	0.05%	0.06%	0.08%	0.09%	0.08%
14	0.07%	0.07%	0.07%	0.1%	0.1%	0.09%
15	0.08%	0.08%	0.08%	0.11%	0.12%	0.1%
16	0.09%	0.09%	0.09%	0.13%	0.14%	0.12%
17	0.09%	0.09%	0.09%	0.15%	0.17%	0.13%
18	0.1%	0.1%	0.09%	0.17%	0.2%	0.15%
19	0.09%	0.1%	0.09%	0.19%	0.22%	0.16%
20	0.09%	0.09%	0.09%	0.21%	0.25%	0.18%
21	0.08%	0.09%	0.08%	0.23%	0.27%	0.19%
22	0.08%	0.08%	0.07%	0.25%	0.29%	0.21%
23	0.08%	0.08%	0.07%	0.27%	0.31%	0.23%
24	0.07%	0.08%	0.07%	0.29%	0.33%	0.25%
25	0.07%	0.08%	0.07%	0.31%	0.35%	0.26%
26	0.08%	0.08%	0.07%	0.33%	0.37%	0.29%
27	0.08%	0.09%	0.07%	0.35%	0.4%	0.31%
28	0.09%	0.1%	0.08%	0.37%	0.42%	0.33%
29	0.09%	0.11%	0.08%	0.4%	0.45%	0.35%
30	0.1%	0.11%	0.09%	0.42%	0.48%	0.37%
31	0.1%	0.12%	0.09%	0.44%	0.51%	0.39%
32	0.1%	0.12%	0.09%	0.47%	0.54%	0.41%
33	0.1%	0.12%	0.09%	0.5%	0.58%	0.44%
34	0.11%	0.12%	0.09%	0.54%	0.62%	0.47%
35	0.11%	0.13%	0.1%	0.57%	0.66%	0.5%
36	0.12%	0.13%	0.11%	0.61%	0.71%	0.53%
37	0.13%	0.14%	0.12%	0.64%	0.75%	0.55%
38	0.14%	0.15%	0.14%	0.68%	0.8%	0.59%
39	0.16%	0.16%	0.15%	0.72%	0.85%	0.62%
40	0.17%	0.18%	0.17%	0.76%	0.9%	0.65%
41	0.19%	0.19%	0.18%	0.8%	0.95%	0.68%
42	0.2%	0.21%	0.19%	0.84%	1%	0.71%
43	0.22%	0.23%	0.2%	0.89%	1.06%	0.75%
44	0.23%	0.26%	0.21%	0.93%	1.12%	0.78%
45	0.26%	0.29%	0.23%	0.99%	1.19%	0.83%
46	0.29%	0.33%	0.25%	1.04%	1.25%	0.87%
47	0.33%	0.37%	0.28%	1.09%	1.33%	0.92%
48	0.37%	0.43%	0.32%	1.16%	1.41%	0.98%
49	0.42%	0.48%	0.36%	1.22%	1.5%	1.03%
50	0.47%	0.55%	0.4%	1.3%	1.6%	1.1%
51	0.52%	0.61%	0.44%	1.36%	1.68%	1.15%
52	0.57%	0.68%	0.47%	1.44%	1.78%	1.23%
53	0.62%	0.75%	0.5%	1.52%	1.87%	1.29%
54	0.68%	0.83%	0.54%	1.6%	1.97%	1.36%
55	0.74%	0.91%	0.57%	1.69%	2.09%	1.44%
56	0.8%	1.01%	0.6%	1.79%	2.2%	1.53%
57	0.88%	1.12%	0.64%	1.91%	2.33%	1.62%
58	0.96%	1.23%	0.69%	2.04%	2.48%	1.73%
59	1.04%	1.33%	0.74%	2.19%	2.65%	1.85%
60	1.12%	1.43%	0.81%	2.37%	2.87%	1.99%
61	1.21%	1.51%	0.89%	2.53%	3.04%	2.13%
62	1.29%	1.57%	0.99%	2.73%	3.28%	2.31%
63	1.38%	1.63%	1.11%	2.92%	3.5%	2.49%
64	1.47%	1.69%	1.24%	3.14%	3.74%	2.7%
65	1.58%	1.78%	1.38%	3.38%	4.01%	2.93%
66	1.72%	1.9%	1.52%	3.58%	4.26%	3.1%
67	1.87%	2.07%	1.66%	3.82%	4.56%	3.31%
68	2.05%	2.28%	1.81%	4.09%	4.9%	3.54%
69	2.26%	2.53%	1.96%	4.38%	5.25%	3.78%
70	2.49%	2.82%	2.13%	4.75%	5.7%	4.11%
71	2.74%	3.15%	2.32%	5.06%	6.09%	4.37%
72	3.02%	3.49%	2.54%	5.51%	6.62%	4.76%
73	3.32%	3.87%	2.78%	5.92%	7.12%	5.11%
74	3.64%	4.27%	3.06%	6.38%	7.68%	5.51%
75	3.99%	4.69%	3.37%	6.87%	8.28%	5.94%
76	4.39%	5.14%	3.73%	7.37%	8.9%	6.37%
77	4.82%	5.61%	4.11%	7.89%	9.57%	6.81%
78	5.29%	6.12%	4.54%	8.54%	10.4%	7.38%
79	5.8%	6.68%	5.02%	9.11%	11.1%	7.87%
80	6.36%	7.29%	5.53%	9.89%	12.1%	8.58%
81	6.98%	8.01%	6.1%	10.5%	12.9%	9.17%
82	7.68%	8.82%	6.72%	11.6%	14%	10.2%
83	8.45%	9.74%	7.4%	12.5%	15%	11.2%
84	9.3%	10.8%	8.14%	13.6%	16.2%	12.3%
85	10.2%	11.9%	8.97%	14.7%	17.3%	13.3%
86	11.2%	13%	9.89%	15.8%	18.5%	14.5%
87	12.3%	14.3%	10.9%	16.9%	19.7%	15.6%
88	13.5%	15.6%	12.1%	18.2%	20.9%	16.8%
89	14.8%	17.1%	13.3%	19.3%	22.2%	18%
90	16.3%	18.7%	14.7%	20.9%	23.7%	19.6%
91	17.8%	20.5%	16.2%	21.9%	24.9%	20.6%
92	19.5%	22.5%	17.9%	23.5%	26.4%	22.2%
93	21.4%	24.7%	19.6%	24.9%	27.9%	23.7%
94	23.5%	27.1%	21.6%	26.4%	29.5%	25.4%
95	25.7%	29.8%	23.8%	28.1%	31%	27.1%
96	28.2%	32.7%	26.3%	29.6%	32.5%	28.7%
97	30.9%	36%	29%	31.1%	33.9%	30.2%
98	33.8%	39.5%	31.9%	32.4%	35.2%	31.7%
99	36.9%	43.4%	35%	34.3%	36.9%	33.6%
100	39.5%	46.5%	37.6%	35.7%	38.2%	35%

Death rate by age in Bangladesh compared to Zimbabwe

In Bangladesh, the most common age of death is 84, compared to 0 in Zimbabwe. The median age of death is 79.7 in Bangladesh and 68.8 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bangladesh			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	1,530	1,613	1,443	3,053	3,402	2,699
1	172.9	175.4	170.2	484	463	505
2	70.1	68.9	71.4	308	305	311
3	61.4	58.9	63.9	211.7	213.4	209.9
4	71.7	67.9	75.7	153.9	157.9	149.8
5	74.1	69.7	78.7	116.6	119.9	113.1
6	67.8	63.8	72.1	98.5	103	94
7	56.8	53.6	60.1	87.5	92.4	82.5
8	44.9	42.8	47	78.6	83.3	73.8
9	36.2	35	37.5	72.9	76.9	68.8
10	34.4	33.5	35.3	70.4	74.5	66.2
11	37.7	36.8	38.7	70.9	76.1	65.5
12	44.1	43.2	45.1	73.9	79.4	68.4
13	54.3	53.3	55.5	80.4	85.9	74.8
14	66.5	65.4	67.8	90.9	97.8	83.9
15	78	77	79	106.1	114.9	97.1
16	86.6	86.2	87	122.8	135.4	110
17	91.4	92	90.8	143.2	161.3	124.9
18	92.8	94.5	91	164.9	188.9	140.6
19	91.1	93.9	88.3	182.4	209.2	155.3
20	87.2	90.9	83.5	200.4	229.9	170.6
21	81.9	86.3	77.8	216.1	249.9	182.2
22	76.9	81.7	72.4	234.1	270.1	198.3
23	73	78.2	68.4	251.5	289	214.4
24	71	76.7	66.2	268.5	307	231.1
25	71.7	78	66.4	286.4	326	248.2
26	74.5	81.9	68.5	304	344	267.1
27	79.3	88.1	72.3	324	365	286.2
28	85.2	95.6	76.8	343	387	303
29	90.9	103.1	81.1	363	409	323
30	95.3	109.1	84	385	436	341
31	97.4	112.5	84.9	403	458	356
32	98.3	114.1	85	428	487	379
33	99.2	115.2	85.6	453	517	400
34	101.3	116.7	87.9	481	550	423
35	105.6	119.7	93.2	512	586	450
36	112.9	124.8	102.4	539	619	473
37	123.1	132.1	115.1	568	655	496
38	135.6	141.5	130.4	599	691	522
39	149.7	153.1	146.8	627	725	545
40	164	166.5	161.7	659	766	571
41	177.1	181.7	173	685	795	592
42	190.1	199.2	181.9	717	834	617
43	204.5	219.6	190.2	747	871	642
44	221.8	243.8	200.3	779	911	669
45	244	272.8	214.7	816	958	702
46	272.6	308	235.8	850	1,000	731
47	307	349	263.5	888	1,046	766
48	347	396	296.7	929	1,096	806
49	391	448	334	969	1,146	846
50	437	503	371	1,018	1,207	892
51	482	560	406	1,050	1,245	925
52	526	618	437	1,100	1,298	971
53	570	679	464	1,140	1,342	1,009
54	615	743	490	1,184	1,389	1,052
55	664	814	516	1,233	1,440	1,097
56	718	892	545	1,284	1,485	1,146
57	778	975	577	1,341	1,537	1,197
58	841	1,059	615	1,411	1,599	1,257
59	906	1,138	659	1,481	1,664	1,318
60	968	1,203	714	1,571	1,756	1,398
61	1,028	1,253	781	1,632	1,809	1,463
62	1,085	1,285	861	1,718	1,890	1,553
63	1,143	1,310	953	1,790	1,952	1,636
64	1,206	1,339	1,052	1,866	2,014	1,726
65	1,278	1,382	1,154	1,945	2,075	1,824
66	1,364	1,452	1,255	1,993	2,121	1,875
67	1,463	1,551	1,351	2,050	2,172	1,938
68	1,574	1,674	1,445	2,111	2,224	2,007
69	1,697	1,817	1,540	2,166	2,269	2,069
70	1,826	1,974	1,638	2,250	2,336	2,164
71	1,961	2,138	1,748	2,281	2,352	2,203
72	2,099	2,301	1,868	2,356	2,400	2,294
73	2,238	2,458	1,998	2,393	2,412	2,346
74	2,374	2,605	2,137	2,427	2,414	2,401
75	2,510	2,740	2,281	2,448	2,404	2,446
76	2,649	2,862	2,434	2,444	2,370	2,468
77	2,781	2,966	2,589	2,424	2,321	2,470
78	2,903	3,054	2,742	2,416	2,272	2,497
79	3,015	3,128	2,889	2,358	2,186	2,465
80	3,114	3,189	3,027	2,328	2,113	2,474
81	3,205	3,246	3,153	2,235	1,982	2,419
82	3,279	3,289	3,261	2,197	1,873	2,450
83	3,331	3,310	3,348	2,102	1,730	2,403
84	3,355	3,299	3,412	1,999	1,583	2,345
85	3,347	3,247	3,451	1,858	1,418	2,232
86	3,301	3,148	3,465	1,709	1,253	2,102
87	3,217	3,003	3,447	1,540	1,088	1,934
88	3,093	2,815	3,394	1,372	930	1,762
89	2,932	2,596	3,297	1,196	779	1,570
90	2,738	2,353	3,155	1,040	647	1,401
91	2,514	2,095	2,969	863	518	1,184
92	2,264	1,828	2,735	724	414	1,016
93	1,995	1,557	2,471	588	322	843
94	1,718	1,287	2,186	469	244.7	687
95	1,440	1,030	1,887	366	181.8	548
96	1,175	796	1,587	277.6	131.3	423
97	924	588	1,288	205	92.4	318
98	698	414	1,006	147.6	63.5	232.4
99	504	274.2	753	105.4	43.2	168.4
100	243.5	52.4	450	24.9	0	53

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 Zimbabwe 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 Zimbabwe: Facts and Figures

By topic vs comparisons:

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