Life Expectancy in Bangladesh vs Namibia (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 Namibia: 77.8 years vs 71.9 at 30, 82.3 vs 79.9 at 65, 88.1 vs 87.4 at 80 — significantly higher than the 75.2 vs 67.7 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 Namibia.

Table

Current age, years	Total life expectancy, years
	Bangladesh			Namibia
	Average	Male	Female	Average	Male	Female
0	75.2	73.6	76.9	67.7	63.6	71.6
1	76.4	74.8	78.1	69.5	65.5	73.3
2	76.6	75	78.3	69.8	65.8	73.6
3	76.6	75	78.3	69.9	66	73.8
4	76.7	75.1	78.4	70.1	66.1	73.9
5	76.7	75.1	78.4	70.1	66.2	74
6	76.8	75.2	78.5	70.2	66.2	74
7	76.8	75.2	78.6	70.3	66.3	74.1
8	76.9	75.2	78.6	70.3	66.4	74.1
9	76.9	75.3	78.6	70.3	66.4	74.2
10	76.9	75.3	78.7	70.4	66.4	74.2
11	76.9	75.3	78.7	70.4	66.5	74.2
12	77	75.3	78.7	70.5	66.5	74.3
13	77	75.4	78.7	70.5	66.6	74.3
14	77	75.4	78.8	70.5	66.6	74.3
15	77.1	75.4	78.8	70.6	66.6	74.4
16	77.1	75.5	78.9	70.6	66.7	74.4
17	77.2	75.5	78.9	70.7	66.8	74.4
18	77.2	75.6	79	70.7	66.8	74.5
19	77.3	75.7	79.1	70.8	66.9	74.5
20	77.4	75.7	79.1	70.9	67	74.6
21	77.4	75.8	79.2	71	67.1	74.7
22	77.5	75.8	79.2	71.1	67.2	74.7
23	77.5	75.9	79.3	71.2	67.3	74.8
24	77.5	75.9	79.3	71.2	67.5	74.8
25	77.6	76	79.3	71.3	67.6	74.9
26	77.6	76	79.4	71.4	67.7	75
27	77.7	76	79.4	71.6	67.8	75.1
28	77.7	76.1	79.4	71.7	68	75.1
29	77.8	76.1	79.5	71.8	68.1	75.2
30	77.8	76.2	79.5	71.9	68.3	75.3
31	77.8	76.2	79.6	72	68.4	75.4
32	77.9	76.3	79.6	72.1	68.6	75.5
33	77.9	76.3	79.7	72.2	68.7	75.5
34	78	76.4	79.7	72.4	68.9	75.6
35	78	76.4	79.7	72.5	69.1	75.7
36	78.1	76.5	79.8	72.7	69.2	75.8
37	78.1	76.5	79.8	72.8	69.4	75.9
38	78.2	76.6	79.9	73	69.6	76
39	78.2	76.7	79.9	73.1	69.8	76.1
40	78.3	76.7	80	73.3	70	76.3
41	78.4	76.8	80.1	73.4	70.2	76.4
42	78.4	76.9	80.2	73.6	70.4	76.5
43	78.5	76.9	80.2	73.8	70.6	76.6
44	78.6	77	80.3	74	70.9	76.8
45	78.7	77.1	80.4	74.2	71.1	76.9
46	78.8	77.2	80.5	74.4	71.4	77.1
47	78.9	77.3	80.5	74.6	71.6	77.2
48	79	77.4	80.6	74.8	71.9	77.4
49	79.1	77.5	80.7	75	72.1	77.6
50	79.2	77.7	80.9	75.3	72.4	77.7
51	79.3	77.8	81	75.5	72.7	77.9
52	79.5	78	81.1	75.8	73	78.1
53	79.7	78.2	81.3	76	73.3	78.3
54	79.8	78.4	81.4	76.3	73.6	78.5
55	80	78.6	81.5	76.6	73.9	78.7
56	80.2	78.8	81.7	76.9	74.3	79
57	80.4	79	81.9	77.2	74.6	79.2
58	80.6	79.3	82	77.5	74.9	79.4
59	80.8	79.5	82.2	77.8	75.3	79.7
60	81	79.8	82.4	78.1	75.6	80
61	81.3	80.1	82.5	78.4	76	80.3
62	81.5	80.4	82.7	78.8	76.4	80.5
63	81.8	80.7	82.9	79.2	76.8	80.9
64	82	80.9	83.2	79.5	77.2	81.2
65	82.3	81.2	83.4	79.9	77.7	81.5
66	82.6	81.5	83.7	80.3	78.1	81.9
67	82.9	81.8	83.9	80.8	78.6	82.3
68	83.2	82.1	84.2	81.2	79	82.7
69	83.5	82.5	84.5	81.6	79.5	83.1
70	83.8	82.8	84.8	82.1	80	83.5
71	84.2	83.2	85.1	82.5	80.5	83.9
72	84.5	83.5	85.5	83	81	84.3
73	84.9	84	85.8	83.5	81.5	84.8
74	85.3	84.4	86.2	84	82.1	85.2
75	85.7	84.8	86.5	84.6	82.6	85.7
76	86.1	85.3	86.9	85.1	83.2	86.2
77	86.6	85.8	87.3	85.7	83.8	86.7
78	87.1	86.3	87.8	86.2	84.4	87.2
79	87.5	86.8	88.2	86.8	85.1	87.7
80	88.1	87.3	88.7	87.4	85.7	88.2
81	88.6	87.9	89.2	88	86.4	88.8
82	89.1	88.4	89.7	88.6	87.1	89.3
83	89.7	89	90.2	89.3	87.8	89.9
84	90.2	89.6	90.7	89.9	88.5	90.5
85	90.8	90.2	91.3	90.6	89.2	91.1
86	91.5	90.9	91.9	91.3	90	91.8
87	92.1	91.5	92.5	92	90.8	92.4
88	92.7	92.2	93.1	92.8	91.6	93.1
89	93.4	92.9	93.7	93.5	92.4	93.8
90	94.1	93.6	94.4	94.3	93.2	94.5
91	94.8	94.3	95.1	95.1	94	95.3
92	95.5	95.1	95.8	95.8	94.9	96
93	96.3	95.8	96.5	96.6	95.7	96.8
94	97	96.6	97.2	97.4	96.6	97.6
95	97.8	97.4	98	98.3	97.4	98.4
96	98.6	98.2	98.7	99.1	98.3	99.2
97	99.4	99.1	99.6	100	99.2	100
98	100.3	99.9	100.4	100.8	100.1	100.9
99	101.2	100.9	101.3	101.6	101	101.7
100	102.2	101.9	102.3	102.5	101.9	102.6

Odds of living to age in Bangladesh vs Namibia

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.8% in Bangladesh and 73.3% in Namibia are expected to survive till at least 60 years old, 72.8% and 55.8% will live to 70 years or older, 48.3% and 31.6% to 80+ years, and 16.4% and 8.98% 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			Namibia
	Average	Male	Female	Average	Male	Female
1	98.4%	98.3%	98.5%	97.4%	97.1%	97.7%
2	98.2%	98.1%	98.3%	97%	96.6%	97.3%
3	98.1%	98.1%	98.2%	96.7%	96.4%	97.1%
4	98.1%	98%	98.2%	96.6%	96.2%	96.9%
5	98%	97.9%	98.1%	96.4%	96.1%	96.8%
6	97.9%	97.8%	98%	96.3%	96%	96.7%
7	97.9%	97.8%	97.9%	96.3%	95.9%	96.7%
8	97.8%	97.7%	97.9%	96.2%	95.8%	96.6%
9	97.7%	97.7%	97.8%	96.1%	95.7%	96.5%
10	97.7%	97.6%	97.8%	96.1%	95.6%	96.5%
11	97.7%	97.6%	97.7%	96%	95.6%	96.4%
12	97.6%	97.6%	97.7%	95.9%	95.5%	96.4%
13	97.6%	97.5%	97.6%	95.9%	95.4%	96.3%
14	97.5%	97.5%	97.6%	95.8%	95.4%	96.3%
15	97.5%	97.4%	97.5%	95.7%	95.3%	96.2%
16	97.4%	97.3%	97.4%	95.7%	95.2%	96.2%
17	97.3%	97.2%	97.4%	95.6%	95%	96.1%
18	97.2%	97.1%	97.3%	95.4%	94.9%	96%
19	97.1%	97%	97.2%	95.3%	94.7%	95.9%
20	97%	97%	97.1%	95.2%	94.5%	95.8%
21	96.9%	96.9%	97%	95%	94.3%	95.7%
22	96.8%	96.8%	96.9%	94.8%	94.1%	95.6%
23	96.8%	96.7%	96.8%	94.7%	93.9%	95.5%
24	96.7%	96.6%	96.8%	94.5%	93.6%	95.4%
25	96.6%	96.5%	96.7%	94.3%	93.3%	95.2%
26	96.5%	96.5%	96.6%	94.1%	93.1%	95.1%
27	96.5%	96.4%	96.6%	93.9%	92.8%	95%
28	96.4%	96.3%	96.5%	93.6%	92.5%	94.8%
29	96.3%	96.2%	96.4%	93.4%	92.1%	94.7%
30	96.2%	96.1%	96.3%	93.1%	91.8%	94.5%
31	96.1%	96%	96.2%	92.9%	91.4%	94.3%
32	96%	95.9%	96.2%	92.6%	91.1%	94.1%
33	95.9%	95.7%	96.1%	92.3%	90.7%	94%
34	95.8%	95.6%	96%	92%	90.3%	93.8%
35	95.7%	95.5%	95.9%	91.7%	89.8%	93.5%
36	95.6%	95.4%	95.8%	91.3%	89.3%	93.3%
37	95.5%	95.3%	95.7%	91%	88.8%	93.1%
38	95.4%	95.1%	95.6%	90.6%	88.3%	92.8%
39	95.2%	95%	95.4%	90.1%	87.8%	92.5%
40	95.1%	94.8%	95.3%	89.7%	87.2%	92.2%
41	94.9%	94.6%	95.1%	89.2%	86.6%	91.9%
42	94.7%	94.5%	95%	88.8%	85.9%	91.6%
43	94.5%	94.3%	94.8%	88.2%	85.2%	91.2%
44	94.3%	94%	94.6%	87.7%	84.5%	90.9%
45	94.1%	93.8%	94.4%	87.1%	83.8%	90.5%
46	93.8%	93.5%	94.2%	86.5%	83%	90%
47	93.6%	93.2%	93.9%	85.9%	82.2%	89.6%
48	93.3%	92.8%	93.6%	85.2%	81.3%	89.1%
49	92.9%	92.4%	93.3%	84.4%	80.4%	88.6%
50	92.5%	92%	93%	83.7%	79.4%	88%
51	92.1%	91.5%	92.6%	82.9%	78.4%	87.4%
52	91.6%	90.9%	92.2%	82%	77.3%	86.8%
53	91%	90.3%	91.8%	81.1%	76.2%	86.1%
54	90.5%	89.6%	91.3%	80.1%	75%	85.4%
55	89.8%	88.8%	90.8%	79.1%	73.8%	84.6%
56	89.1%	88%	90.3%	78.1%	72.5%	83.8%
57	88.4%	87.1%	89.7%	77%	71.1%	83%
58	87.6%	86.1%	89.1%	75.8%	69.7%	82%
59	86.8%	85%	88.5%	74.6%	68.3%	81%
60	85.8%	83.9%	87.8%	73.3%	66.7%	80%
61	84.9%	82.6%	87.1%	71.9%	65.1%	78.8%
62	83.8%	81.4%	86.3%	70.4%	63.4%	77.6%
63	82.7%	80.1%	85.4%	68.9%	61.6%	76.3%
64	81.5%	78.7%	84.5%	67.3%	59.7%	74.8%
65	80.3%	77.4%	83.4%	65.6%	57.8%	73.3%
66	79%	76%	82.2%	63.7%	55.8%	71.7%
67	77.6%	74.5%	80.9%	61.9%	53.7%	70%
68	76.1%	73%	79.6%	59.9%	51.5%	68.2%
69	74.6%	71.3%	78.1%	57.9%	49.3%	66.3%
70	72.8%	69.4%	76.5%	55.8%	47%	64.4%
71	71%	67.4%	74.9%	53.7%	44.7%	62.4%
72	69%	65.3%	73.1%	51.4%	42.3%	60.3%
73	66.9%	63%	71.2%	49.1%	39.8%	58.1%
74	64.7%	60.5%	69.2%	46.7%	37.2%	55.8%
75	62.3%	57.9%	67%	44.3%	34.6%	53.4%
76	59.7%	55.1%	64.7%	41.8%	32%	51%
77	57.1%	52.2%	62.3%	39.2%	29.4%	48.5%
78	54.3%	49.3%	59.7%	36.7%	26.8%	46%
79	51.4%	46.2%	56.9%	34.1%	24.2%	43.4%
80	48.3%	43.1%	54%	31.6%	21.7%	40.9%
81	45.2%	39.9%	51%	29%	19.2%	38.2%
82	42%	36.7%	47.8%	26.5%	16.9%	35.6%
83	38.8%	33.4%	44.6%	24%	14.6%	32.8%
84	35.5%	30.1%	41.2%	21.5%	12.5%	30%
85	32.1%	26.8%	37.8%	19.1%	10.5%	27.1%
86	28.8%	23.6%	34.4%	16.8%	8.74%	24.3%
87	25.5%	20.5%	31%	14.6%	7.15%	21.5%
88	22.4%	17.6%	27.6%	12.6%	5.77%	18.9%
89	19.3%	14.8%	24.2%	10.7%	4.57%	16.4%
90	16.4%	12.2%	21%	8.98%	3.56%	14.1%
91	13.7%	9.93%	17.8%	7.44%	2.72%	11.9%
92	11.3%	7.88%	14.9%	6.11%	2.05%	9.92%
93	9.05%	6.1%	12.2%	4.94%	1.5%	8.15%
94	7.1%	4.59%	9.82%	3.93%	1.08%	6.59%
95	5.42%	3.34%	7.68%	3.08%	0.76%	5.23%
96	4.02%	2.34%	5.84%	2.36%	0.52%	4.08%
97	2.88%	1.57%	4.3%	1.78%	0.35%	3.12%
98	1.99%	1%	3.05%	1.32%	0.23%	2.34%
99	1.31%	0.6%	2.07%	0.97%	0.15%	1.73%
100	0.83%	0.34%	1.34%	0.69%	0.09%	1.25%

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 2.63% in Namibia, 0.1% vs 0.28% at age 30, 1.15% vs 1.9% at 60, and 6.44% vs 8.11% at 80.

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

Table

Age	Probability of dying
	Bangladesh			Namibia
	Average	Male	Female	Average	Male	Female
0	1.61%	1.69%	1.52%	2.63%	2.95%	2.32%
1	0.18%	0.19%	0.18%	0.4%	0.42%	0.38%
2	0.07%	0.07%	0.08%	0.25%	0.27%	0.23%
3	0.07%	0.06%	0.07%	0.18%	0.19%	0.16%
4	0.08%	0.07%	0.08%	0.13%	0.14%	0.12%
5	0.08%	0.07%	0.08%	0.1%	0.11%	0.09%
6	0.07%	0.07%	0.08%	0.08%	0.09%	0.08%
7	0.06%	0.06%	0.06%	0.07%	0.08%	0.06%
8	0.05%	0.05%	0.05%	0.07%	0.08%	0.06%
9	0.04%	0.04%	0.04%	0.06%	0.07%	0.05%
10	0.04%	0.04%	0.04%	0.06%	0.07%	0.05%
11	0.04%	0.04%	0.04%	0.06%	0.07%	0.05%
12	0.05%	0.05%	0.05%	0.06%	0.07%	0.05%
13	0.06%	0.06%	0.06%	0.07%	0.08%	0.06%
14	0.07%	0.07%	0.07%	0.08%	0.09%	0.06%
15	0.08%	0.08%	0.08%	0.09%	0.11%	0.07%
16	0.09%	0.09%	0.09%	0.1%	0.13%	0.08%
17	0.1%	0.1%	0.1%	0.12%	0.15%	0.09%
18	0.1%	0.1%	0.1%	0.14%	0.18%	0.09%
19	0.1%	0.1%	0.09%	0.15%	0.2%	0.1%
20	0.09%	0.1%	0.09%	0.17%	0.22%	0.11%
21	0.09%	0.09%	0.08%	0.18%	0.24%	0.11%
22	0.08%	0.09%	0.08%	0.19%	0.25%	0.12%
23	0.08%	0.08%	0.07%	0.2%	0.27%	0.13%
24	0.07%	0.08%	0.07%	0.21%	0.28%	0.13%
25	0.08%	0.08%	0.07%	0.22%	0.3%	0.14%
26	0.08%	0.09%	0.07%	0.23%	0.31%	0.15%
27	0.08%	0.09%	0.08%	0.24%	0.33%	0.15%
28	0.09%	0.1%	0.08%	0.25%	0.35%	0.16%
29	0.1%	0.11%	0.09%	0.27%	0.37%	0.17%
30	0.1%	0.12%	0.09%	0.28%	0.39%	0.18%
31	0.1%	0.12%	0.09%	0.3%	0.41%	0.19%
32	0.1%	0.12%	0.09%	0.32%	0.43%	0.2%
33	0.11%	0.12%	0.09%	0.33%	0.46%	0.22%
34	0.11%	0.12%	0.09%	0.36%	0.49%	0.23%
35	0.11%	0.13%	0.1%	0.38%	0.52%	0.25%
36	0.12%	0.13%	0.11%	0.4%	0.55%	0.26%
37	0.13%	0.14%	0.12%	0.43%	0.59%	0.28%
38	0.14%	0.15%	0.14%	0.46%	0.63%	0.3%
39	0.16%	0.16%	0.16%	0.49%	0.66%	0.32%
40	0.18%	0.18%	0.17%	0.52%	0.71%	0.34%
41	0.19%	0.2%	0.19%	0.54%	0.74%	0.36%
42	0.2%	0.21%	0.2%	0.58%	0.79%	0.39%
43	0.22%	0.24%	0.2%	0.62%	0.83%	0.41%
44	0.24%	0.26%	0.22%	0.66%	0.88%	0.44%
45	0.26%	0.3%	0.23%	0.7%	0.94%	0.47%
46	0.3%	0.33%	0.26%	0.75%	1%	0.5%
47	0.33%	0.38%	0.29%	0.8%	1.06%	0.54%
48	0.38%	0.43%	0.32%	0.86%	1.14%	0.58%
49	0.43%	0.49%	0.36%	0.91%	1.21%	0.62%
50	0.48%	0.56%	0.41%	0.99%	1.3%	0.68%
51	0.53%	0.62%	0.45%	1.04%	1.37%	0.72%
52	0.59%	0.69%	0.48%	1.11%	1.46%	0.79%
53	0.64%	0.77%	0.52%	1.18%	1.55%	0.84%
54	0.69%	0.84%	0.55%	1.26%	1.64%	0.9%
55	0.75%	0.93%	0.58%	1.33%	1.74%	0.96%
56	0.82%	1.03%	0.62%	1.41%	1.85%	1.04%
57	0.9%	1.14%	0.66%	1.51%	1.97%	1.11%
58	0.98%	1.25%	0.7%	1.62%	2.11%	1.21%
59	1.06%	1.36%	0.76%	1.74%	2.26%	1.31%
60	1.15%	1.46%	0.83%	1.9%	2.45%	1.45%
61	1.23%	1.54%	0.91%	2.01%	2.61%	1.55%
62	1.32%	1.6%	1.02%	2.19%	2.83%	1.72%
63	1.41%	1.66%	1.14%	2.36%	3.03%	1.87%
64	1.5%	1.72%	1.27%	2.55%	3.26%	2.04%
65	1.62%	1.81%	1.41%	2.76%	3.5%	2.24%
66	1.75%	1.93%	1.55%	2.93%	3.73%	2.37%
67	1.91%	2.1%	1.7%	3.13%	3.99%	2.53%
68	2.09%	2.32%	1.84%	3.36%	4.3%	2.72%
69	2.3%	2.57%	2%	3.59%	4.62%	2.9%
70	2.53%	2.87%	2.17%	3.93%	5.04%	3.18%
71	2.78%	3.2%	2.36%	4.15%	5.39%	3.34%
72	3.06%	3.55%	2.59%	4.54%	5.91%	3.66%
73	3.36%	3.93%	2.84%	4.86%	6.39%	3.92%
74	3.69%	4.33%	3.12%	5.23%	6.94%	4.22%
75	4.06%	4.76%	3.43%	5.64%	7.55%	4.55%
76	4.46%	5.21%	3.79%	6.05%	8.18%	4.86%
77	4.9%	5.69%	4.18%	6.47%	8.85%	5.16%
78	5.37%	6.2%	4.61%	7.03%	9.67%	5.61%
79	5.88%	6.76%	5.09%	7.46%	10.5%	5.93%
80	6.44%	7.39%	5.61%	8.11%	11.4%	6.48%
81	7.07%	8.11%	6.18%	8.58%	12.2%	6.9%
82	7.77%	8.92%	6.81%	9.53%	13.4%	7.82%
83	8.55%	9.84%	7.49%	10.3%	14.5%	8.6%
84	9.4%	10.9%	8.23%	11.3%	15.8%	9.54%
85	10.3%	12%	9.06%	12.1%	16.9%	10.4%
86	11.3%	13.2%	9.99%	13.1%	18.2%	11.4%
87	12.4%	14.4%	11%	13.9%	19.4%	12.2%
88	13.6%	15.8%	12.2%	14.9%	20.8%	13.3%
89	15%	17.2%	13.4%	15.8%	22.1%	14.2%
90	16.4%	18.8%	14.8%	17.2%	23.6%	15.7%
91	18%	20.6%	16.4%	17.8%	24.8%	16.4%
92	19.7%	22.6%	18%	19.2%	26.5%	17.8%
93	21.5%	24.8%	19.8%	20.4%	28%	19.1%
94	23.6%	27.3%	21.8%	21.8%	29.6%	20.6%
95	25.8%	29.9%	24%	23.2%	31.3%	22.1%
96	28.3%	32.9%	26.4%	24.5%	32.9%	23.5%
97	31%	36.2%	29.1%	25.8%	34.4%	24.8%
98	33.9%	39.7%	32%	26.9%	35.8%	26.1%
99	36.9%	43.5%	35.2%	28.6%	37.5%	27.9%
100	39.5%	46.6%	37.7%	29.8%	39%	29.1%

Death rate by age in Bangladesh compared to Namibia

In Bangladesh, the most common age of death is 84, compared to 0 in Namibia. The median age of death is 79.5 in Bangladesh and 72.6 in Namibia — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bangladesh			Namibia
	Total	Male	Female	Total	Male	Female
0	1,609	1,692	1,521	2,632	2,946	2,316
1	181.1	183.5	178.7	392	410	375
2	73.2	71.8	74.6	246.1	264.6	227.4
3	63.9	61.3	66.7	170.7	185.1	156.2
4	74.6	70.5	79	125.5	136.9	114.1
5	77.1	72.3	82.1	96.3	105	87.6
6	70.5	66.1	75.1	81.5	90.5	72.6
7	58.9	55.6	62.5	72.1	81.4	62.7
8	46.5	44.2	48.8	64.5	73.6	55.4
9	37.4	36.1	38.8	59.5	68.2	50.9
10	35.5	34.5	36.6	57.4	66.2	48.6
11	38.9	37.9	40	57.8	67.6	48
12	45.5	44.4	46.6	60.1	70.6	49.6
13	56	54.8	57.3	64.9	76.6	53.4
14	68.5	67.2	69.9	73.2	87.7	58.9
15	80.2	79.1	81.4	85.1	103.5	66.8
16	88.9	88.4	89.5	99.1	123.2	75.2
17	93.8	94.2	93.3	115	146.9	83.2
18	95	96.6	93.4	132.2	172.6	91.1
19	93.2	95.9	90.4	145.2	190.7	97.9
20	89	92.7	85.4	157.3	208.2	104.2
21	83.6	87.9	79.5	167.7	224.3	108.8
22	78.3	83.2	74	178.2	239.7	114.6
23	74.3	79.5	69.8	187.9	253.6	120.5
24	72.2	77.9	67.5	197.4	266.2	126.8
25	72.8	79.3	67.6	207.2	279.6	132.7
26	75.8	83.3	69.8	216.7	291.9	139.7
27	80.7	89.6	73.6	227.4	307	147.1
28	86.7	97.2	78.2	238.7	322	154.8
29	92.6	104.9	82.5	250.8	338	163
30	97	111	85.4	265.1	358	172.6
31	99.1	114.3	86.3	275.7	373	179.2
32	100	116	86.4	292.8	396	191.7
33	101	117.1	87	309	418	202.8
34	103	118.6	89.3	328	443	215.1
35	107.4	121.6	94.7	349	470	230
36	114.8	126.8	104.1	369	496	244.1
37	125.1	134.2	117	391	525	258.3
38	137.9	143.8	132.7	415	554	276.8
39	152.3	155.6	149.4	437	583	293.3
40	166.8	169.3	164.6	465	617	315
41	180.3	184.7	176.2	486	643	330
42	193.6	202.5	185.2	517	678	355
43	208.4	223.3	193.7	545	711	374
44	226.1	247.9	203.9	575	748	397
45	248.7	277.4	218.6	611	791	425
46	277.6	313	240.2	646	830	450
47	313	355	268.4	686	875	481
48	353	403	302	729	924	517
49	398	455	340	771	973	553
50	445	512	379	825	1,033	600
51	491	570	414	859	1,074	629
52	536	629	445	913	1,131	682
53	581	691	474	957	1,179	721
54	627	756	500	1,006	1,231	768
55	677	828	526	1,054	1,287	815
56	733	907	555	1,104	1,339	870
57	794	992	588	1,159	1,399	924
58	858	1,077	626	1,228	1,468	994
59	924	1,157	672	1,298	1,540	1,061
60	987	1,223	727	1,394	1,636	1,160
61	1,047	1,272	795	1,447	1,698	1,223
62	1,104	1,304	877	1,540	1,791	1,333
63	1,162	1,328	970	1,623	1,867	1,427
64	1,226	1,356	1,070	1,715	1,945	1,530
65	1,298	1,399	1,173	1,812	2,023	1,645
66	1,383	1,469	1,276	1,865	2,078	1,696
67	1,483	1,568	1,373	1,937	2,144	1,770
68	1,594	1,692	1,467	2,015	2,214	1,855
69	1,715	1,835	1,562	2,081	2,278	1,921
70	1,842	1,992	1,660	2,193	2,372	2,050
71	1,976	2,156	1,770	2,225	2,407	2,082
72	2,113	2,318	1,890	2,332	2,496	2,208
73	2,250	2,474	2,019	2,386	2,542	2,276
74	2,389	2,621	2,157	2,444	2,585	2,356
75	2,529	2,753	2,300	2,495	2,615	2,431
76	2,666	2,872	2,452	2,526	2,619	2,479
77	2,795	2,973	2,604	2,540	2,603	2,506
78	2,913	3,056	2,754	2,579	2,593	2,583
79	3,019	3,125	2,898	2,547	2,530	2,578
80	3,113	3,182	3,032	2,560	2,478	2,650
81	3,198	3,234	3,154	2,489	2,341	2,637
82	3,267	3,271	3,257	2,527	2,260	2,782
83	3,313	3,287	3,338	2,478	2,116	2,820
84	3,333	3,270	3,396	2,428	1,968	2,859
85	3,318	3,213	3,430	2,315	1,776	2,820
86	3,267	3,109	3,438	2,194	1,588	2,762
87	3,178	2,960	3,415	2,034	1,389	2,638
88	3,051	2,770	3,357	1,875	1,197	2,509
89	2,887	2,549	3,255	1,691	1,008	2,332
90	2,691	2,306	3,109	1,543	842	2,202
91	2,466	2,048	2,920	1,327	674	1,939
92	2,215	1,783	2,685	1,176	541	1,770
93	1,948	1,515	2,420	1,009	421	1,559
94	1,675	1,250	2,138	855	321	1,354
95	1,401	998	1,841	715	239	1,158
96	1,140	769	1,545	579	172.2	959
97	894	567	1,251	459	120.8	774
98	674	397	975	356	82.5	611
99	485	262.8	728	276.7	55.5	483
100	229.5	46.3	429	147.5	0	287.3

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 Namibia 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 Namibia: Facts and Figures

By topic vs comparisons:

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