Life Expectancy in Bangladesh vs Namibia (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Namibia

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Namibia
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.5	101.9	102.6
99	101.2	100.9	101.3	101.6	101	101.7
98	100.3	99.9	100.4	100.8	100.1	100.9
97	99.4	99.1	99.6	99.9	99.2	100
96	98.6	98.2	98.8	99.1	98.3	99.2
95	97.8	97.4	98	98.3	97.4	98.4
94	97	96.6	97.2	97.4	96.6	97.6
93	96.3	95.9	96.5	96.6	95.7	96.8
92	95.5	95.1	95.8	95.8	94.9	96
91	94.8	94.4	95.1	95.1	94	95.3
90	94.1	93.6	94.4	94.3	93.2	94.5
89	93.4	92.9	93.8	93.5	92.4	93.8
88	92.8	92.2	93.1	92.8	91.6	93.1
87	92.1	91.6	92.5	92	90.8	92.4
86	91.5	90.9	91.9	91.3	90	91.8
85	90.9	90.3	91.3	90.6	89.2	91.1
84	90.3	89.6	90.8	89.9	88.5	90.5
83	89.7	89	90.2	89.3	87.8	89.9
82	89.2	88.5	89.7	88.6	87.1	89.3
81	88.6	87.9	89.2	88	86.4	88.8
80	88.1	87.4	88.7	87.4	85.7	88.2
79	87.6	86.8	88.3	86.8	85.1	87.7
78	87.1	86.3	87.8	86.2	84.4	87.2
77	86.7	85.8	87.4	85.7	83.8	86.7
76	86.2	85.4	87	85.1	83.2	86.2
75	85.8	84.9	86.6	84.6	82.6	85.7
74	85.4	84.5	86.2	84	82.1	85.2
73	85	84	85.9	83.5	81.5	84.8
72	84.6	83.6	85.5	83	81	84.3
71	84.2	83.2	85.2	82.6	80.5	83.9
70	83.9	82.9	84.9	82.1	80	83.5
69	83.6	82.5	84.6	81.6	79.5	83.1
68	83.3	82.2	84.3	81.2	79	82.7
67	83	81.9	84	80.8	78.6	82.3
66	82.7	81.6	83.8	80.4	78.1	81.9
65	82.4	81.3	83.5	79.9	77.7	81.6
64	82.2	81.1	83.3	79.6	77.3	81.2
63	81.9	80.8	83.1	79.2	76.8	80.9
62	81.6	80.5	82.9	78.8	76.4	80.6
61	81.4	80.2	82.7	78.5	76.1	80.3
60	81.2	79.9	82.5	78.1	75.7	80
59	80.9	79.6	82.3	77.8	75.3	79.7
58	80.7	79.4	82.2	77.5	75	79.5
57	80.5	79.1	82	77.2	74.6	79.2
56	80.3	78.9	81.8	76.9	74.3	79
55	80.1	78.7	81.7	76.6	74	78.8
54	80	78.5	81.5	76.3	73.6	78.6
53	79.8	78.3	81.4	76.1	73.3	78.3
52	79.7	78.1	81.3	75.8	73	78.1
51	79.5	78	81.1	75.6	72.7	78
50	79.4	77.8	81	75.3	72.5	77.8
49	79.2	77.7	80.9	75.1	72.2	77.6
48	79.1	77.6	80.8	74.9	71.9	77.4
47	79	77.4	80.7	74.6	71.7	77.3
46	78.9	77.3	80.6	74.4	71.4	77.1
45	78.8	77.3	80.5	74.2	71.2	77
44	78.8	77.2	80.5	74	70.9	76.8
43	78.7	77.1	80.4	73.9	70.7	76.7
42	78.6	77	80.3	73.7	70.5	76.6
41	78.5	77	80.2	73.5	70.3	76.4
40	78.5	76.9	80.2	73.3	70.1	76.3
39	78.4	76.8	80.1	73.2	69.9	76.2
38	78.4	76.8	80.1	73	69.7	76.1
37	78.3	76.7	80	72.9	69.5	76
36	78.3	76.7	80	72.7	69.3	75.9
35	78.2	76.6	79.9	72.6	69.1	75.8
34	78.2	76.6	79.9	72.4	69	75.7
33	78.1	76.5	79.8	72.3	68.8	75.6
32	78.1	76.5	79.8	72.2	68.6	75.5
31	78	76.4	79.8	72.1	68.5	75.4
30	78	76.4	79.7	72	68.3	75.4
29	77.9	76.3	79.7	71.8	68.2	75.3
28	77.9	76.3	79.6	71.7	68.1	75.2
27	77.8	76.2	79.6	71.6	67.9	75.1
26	77.8	76.2	79.6	71.5	67.8	75.1
25	77.8	76.1	79.5	71.4	67.7	75
24	77.7	76.1	79.5	71.3	67.6	74.9
23	77.7	76	79.4	71.2	67.4	74.9
22	77.6	76	79.4	71.2	67.3	74.8
21	77.6	75.9	79.3	71.1	67.2	74.8
20	77.5	75.9	79.3	71	67.1	74.7
19	77.5	75.8	79.2	70.9	67	74.6
18	77.4	75.8	79.2	70.8	66.9	74.6
17	77.4	75.7	79.1	70.8	66.9	74.5
16	77.3	75.7	79.1	70.7	66.8	74.5
15	77.3	75.6	79	70.7	66.7	74.5
14	77.2	75.6	79	70.6	66.7	74.4
13	77.2	75.6	78.9	70.6	66.7	74.4
12	77.2	75.5	78.9	70.6	66.6	74.4
11	77.1	75.5	78.9	70.5	66.6	74.3
10	77.1	75.5	78.9	70.5	66.5	74.3
9	77.1	75.5	78.8	70.4	66.5	74.3
8	77.1	75.4	78.8	70.4	66.5	74.2
7	77	75.4	78.8	70.4	66.4	74.2
6	77	75.3	78.7	70.3	66.4	74.1
5	76.9	75.3	78.6	70.2	66.3	74.1
4	76.9	75.2	78.6	70.2	66.2	74
3	76.8	75.2	78.5	70	66.1	73.9
2	76.8	75.2	78.5	69.9	65.9	73.7
1	76.6	75	78.3	69.6	65.6	73.4
0	75.5	73.8	77.2	67.8	63.7	71.8

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 in Namibia, rising to 82.4 and 79.9 at 65, and to 88.1 and 87.4 at 80 — higher than the 75.5 and 67.8 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Namibia

Male

Female

1x

Age	Survival probability
	Bangladesh			Namibia
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.69%	0.09%	1.25%
99	1.37%	0.63%	2.15%	0.97%	0.15%	1.73%
98	2.06%	1.05%	3.16%	1.33%	0.23%	2.35%
97	2.99%	1.63%	4.44%	1.79%	0.35%	3.13%
96	4.16%	2.43%	6.03%	2.37%	0.53%	4.09%
95	5.6%	3.46%	7.92%	3.09%	0.77%	5.25%
94	7.32%	4.75%	10.1%	3.95%	1.09%	6.62%
93	9.32%	6.3%	12.6%	4.97%	1.52%	8.18%
92	11.6%	8.13%	15.3%	6.15%	2.06%	9.96%
91	14.1%	10.2%	18.3%	7.49%	2.74%	11.9%
90	16.8%	12.6%	21.4%	9.04%	3.59%	14.1%
89	19.8%	15.2%	24.7%	10.7%	4.61%	16.5%
88	22.9%	18%	28.1%	12.6%	5.82%	19%
87	26.1%	21%	31.6%	14.7%	7.22%	21.7%
86	29.4%	24.1%	35%	16.9%	8.82%	24.4%
85	32.7%	27.4%	38.5%	19.2%	10.6%	27.3%
84	36.1%	30.7%	41.9%	21.7%	12.6%	30.1%
83	39.4%	34%	45.2%	24.2%	14.7%	33%
82	42.7%	37.3%	48.5%	26.7%	17%	35.8%
81	45.9%	40.5%	51.7%	29.2%	19.3%	38.4%
80	49%	43.7%	54.7%	31.8%	21.8%	41.1%
79	52%	46.8%	57.6%	34.3%	24.4%	43.7%
78	54.9%	49.9%	60.3%	36.9%	27%	46.3%
77	57.7%	52.9%	62.9%	39.5%	29.6%	48.8%
76	60.4%	55.7%	65.3%	42%	32.2%	51.3%
75	62.9%	58.5%	67.6%	44.5%	34.9%	53.7%
74	65.2%	61.1%	69.8%	46.9%	37.5%	56.1%
73	67.5%	63.5%	71.8%	49.3%	40%	58.4%
72	69.6%	65.8%	73.6%	51.7%	42.5%	60.6%
71	71.5%	68%	75.4%	53.9%	44.9%	62.7%
70	73.4%	69.9%	77%	56.1%	47.3%	64.7%
69	75.1%	71.8%	78.6%	58.2%	49.6%	66.6%
68	76.6%	73.4%	80%	60.2%	51.8%	68.5%
67	78.1%	75%	81.4%	62.1%	54%	70.2%
66	79.5%	76.4%	82.6%	64%	56%	71.9%
65	80.7%	77.8%	83.8%	65.8%	58.1%	73.6%
64	81.9%	79.2%	84.8%	67.5%	60%	75.1%
63	83.1%	80.5%	85.8%	69.1%	61.9%	76.5%
62	84.2%	81.8%	86.6%	70.7%	63.7%	77.9%
61	85.2%	83%	87.4%	72.1%	65.4%	79.1%
60	86.2%	84.2%	88.1%	73.5%	67%	80.2%
59	87.1%	85.4%	88.8%	74.8%	68.5%	81.3%
58	87.9%	86.4%	89.4%	76%	70%	82.3%
57	88.7%	87.4%	90%	77.2%	71.4%	83.2%
56	89.4%	88.3%	90.5%	78.3%	72.7%	84.1%
55	90.1%	89.1%	91%	79.4%	74%	84.9%
54	90.7%	89.8%	91.5%	80.4%	75.2%	85.6%
53	91.3%	90.5%	92%	81.3%	76.4%	86.3%
52	91.8%	91.1%	92.4%	82.2%	77.5%	87%
51	92.3%	91.7%	92.8%	83.1%	78.6%	87.6%
50	92.7%	92.2%	93.2%	83.9%	79.6%	88.2%
49	93.1%	92.6%	93.5%	84.7%	80.6%	88.8%
48	93.4%	93%	93.8%	85.4%	81.5%	89.3%
47	93.8%	93.4%	94.1%	86.1%	82.4%	89.8%
46	94%	93.7%	94.3%	86.7%	83.2%	90.2%
45	94.3%	94%	94.5%	87.3%	84%	90.6%
44	94.5%	94.2%	94.7%	87.9%	84.7%	91%
43	94.7%	94.4%	94.9%	88.4%	85.4%	91.4%
42	94.9%	94.6%	95.1%	88.9%	86.1%	91.8%
41	95.1%	94.8%	95.3%	89.4%	86.7%	92.1%
40	95.2%	95%	95.5%	89.9%	87.4%	92.4%
39	95.4%	95.1%	95.6%	90.3%	87.9%	92.7%
38	95.5%	95.3%	95.7%	90.7%	88.5%	92.9%
37	95.6%	95.4%	95.8%	91.1%	89%	93.2%
36	95.7%	95.5%	95.9%	91.5%	89.5%	93.4%
35	95.9%	95.6%	96%	91.8%	89.9%	93.7%
34	96%	95.8%	96.1%	92.1%	90.4%	93.9%
33	96.1%	95.9%	96.2%	92.4%	90.8%	94.1%
32	96.2%	96%	96.3%	92.7%	91.2%	94.3%
31	96.3%	96.1%	96.4%	93%	91.6%	94.4%
30	96.3%	96.2%	96.5%	93.3%	91.9%	94.6%
29	96.4%	96.3%	96.5%	93.5%	92.2%	94.8%
28	96.5%	96.4%	96.6%	93.7%	92.6%	94.9%
27	96.6%	96.5%	96.7%	94%	92.9%	95.1%
26	96.7%	96.6%	96.8%	94.2%	93.1%	95.2%
25	96.7%	96.7%	96.8%	94.4%	93.4%	95.3%
24	96.8%	96.7%	96.9%	94.6%	93.7%	95.5%
23	96.9%	96.8%	97%	94.8%	93.9%	95.6%
22	97%	96.9%	97%	94.9%	94.2%	95.7%
21	97%	97%	97.1%	95.1%	94.4%	95.8%
20	97.1%	97.1%	97.2%	95.2%	94.6%	95.9%
19	97.2%	97.2%	97.3%	95.4%	94.8%	96%
18	97.3%	97.3%	97.4%	95.5%	95%	96.1%
17	97.4%	97.4%	97.5%	95.6%	95.1%	96.2%
16	97.5%	97.4%	97.6%	95.7%	95.2%	96.2%
15	97.6%	97.5%	97.6%	95.8%	95.3%	96.3%
14	97.6%	97.6%	97.7%	95.9%	95.4%	96.4%
13	97.7%	97.6%	97.8%	96%	95.5%	96.4%
12	97.7%	97.7%	97.8%	96%	95.6%	96.5%
11	97.8%	97.7%	97.8%	96.1%	95.6%	96.5%
10	97.8%	97.8%	97.9%	96.1%	95.7%	96.6%
9	97.9%	97.8%	97.9%	96.2%	95.8%	96.6%
8	97.9%	97.8%	98%	96.2%	95.8%	96.7%
7	98%	97.9%	98%	96.3%	95.9%	96.7%
6	98%	97.9%	98.1%	96.4%	96%	96.8%
5	98.1%	98%	98.2%	96.5%	96.1%	96.9%
4	98.2%	98.1%	98.3%	96.6%	96.2%	97%
3	98.2%	98.1%	98.3%	96.8%	96.4%	97.1%
2	98.3%	98.2%	98.4%	97%	96.7%	97.4%
1	98.5%	98.4%	98.6%	97.4%	97.1%	97.7%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 73.5% in Namibia are expected to live past 60, 73.4% and 56.1% past 70, 49% and 31.8% past 80, and only 16.8% and 9.04% 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

Namibia

Male

Female

1x

Age	Probability of dying
	Bangladesh			Namibia
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	29.8%	39%	29.2%
99	36.9%	43.4%	35%	28.7%	37.6%	27.9%
98	33.8%	39.5%	31.9%	27%	35.8%	26.1%
97	30.9%	36%	29%	25.8%	34.4%	24.9%
96	28.2%	32.7%	26.3%	24.6%	32.9%	23.6%
95	25.7%	29.8%	23.8%	23.3%	31.4%	22.2%
94	23.5%	27.1%	21.6%	21.8%	29.6%	20.6%
93	21.4%	24.7%	19.6%	20.4%	28%	19.2%
92	19.5%	22.5%	17.9%	19.2%	26.5%	17.9%
91	17.8%	20.5%	16.2%	17.9%	24.8%	16.4%
90	16.3%	18.7%	14.7%	17.2%	23.6%	15.7%
89	14.8%	17.1%	13.3%	15.9%	22.1%	14.2%
88	13.5%	15.6%	12.1%	14.9%	20.8%	13.3%
87	12.3%	14.3%	10.9%	13.9%	19.4%	12.3%
86	11.2%	13%	9.89%	13.1%	18.1%	11.4%
85	10.2%	11.9%	8.97%	12.1%	16.9%	10.4%
84	9.3%	10.8%	8.14%	11.3%	15.7%	9.54%
83	8.45%	9.74%	7.4%	10.3%	14.5%	8.6%
82	7.68%	8.82%	6.72%	9.52%	13.4%	7.82%
81	6.98%	8.01%	6.1%	8.57%	12.2%	6.9%
80	6.36%	7.29%	5.53%	8.1%	11.4%	6.48%
79	5.8%	6.68%	5.02%	7.45%	10.4%	5.93%
78	5.29%	6.12%	4.54%	7.01%	9.66%	5.6%
77	4.82%	5.61%	4.11%	6.44%	8.83%	5.16%
76	4.39%	5.14%	3.73%	6.03%	8.16%	4.85%
75	3.99%	4.69%	3.37%	5.63%	7.53%	4.54%
74	3.64%	4.27%	3.06%	5.23%	6.93%	4.21%
73	3.32%	3.87%	2.78%	4.85%	6.38%	3.91%
72	3.02%	3.49%	2.54%	4.52%	5.89%	3.65%
71	2.74%	3.15%	2.32%	4.14%	5.37%	3.33%
70	2.49%	2.82%	2.13%	3.91%	5.03%	3.17%
69	2.26%	2.53%	1.96%	3.58%	4.6%	2.88%
68	2.05%	2.28%	1.81%	3.35%	4.28%	2.71%
67	1.87%	2.07%	1.66%	3.11%	3.98%	2.52%
66	1.72%	1.9%	1.52%	2.91%	3.71%	2.35%
65	1.58%	1.78%	1.38%	2.75%	3.49%	2.23%
64	1.47%	1.69%	1.24%	2.53%	3.24%	2.03%
63	1.38%	1.63%	1.11%	2.34%	3.02%	1.86%
62	1.29%	1.57%	0.99%	2.19%	2.81%	1.71%
61	1.21%	1.51%	0.89%	2.01%	2.6%	1.54%
60	1.12%	1.43%	0.81%	1.89%	2.44%	1.44%
59	1.04%	1.33%	0.74%	1.73%	2.24%	1.3%
58	0.96%	1.23%	0.69%	1.61%	2.09%	1.2%
57	0.88%	1.12%	0.64%	1.5%	1.95%	1.1%
56	0.8%	1.01%	0.6%	1.41%	1.84%	1.03%
55	0.74%	0.91%	0.57%	1.33%	1.73%	0.95%
54	0.68%	0.83%	0.54%	1.25%	1.63%	0.89%
53	0.62%	0.75%	0.5%	1.17%	1.54%	0.83%
52	0.57%	0.68%	0.47%	1.1%	1.45%	0.78%
51	0.52%	0.61%	0.44%	1.03%	1.36%	0.71%
50	0.47%	0.55%	0.4%	0.98%	1.29%	0.67%
49	0.42%	0.48%	0.36%	0.91%	1.2%	0.62%
48	0.37%	0.43%	0.32%	0.85%	1.13%	0.57%
47	0.33%	0.37%	0.28%	0.79%	1.05%	0.53%
46	0.29%	0.33%	0.25%	0.74%	0.99%	0.49%
45	0.26%	0.29%	0.23%	0.69%	0.93%	0.46%
44	0.23%	0.26%	0.21%	0.65%	0.87%	0.43%
43	0.22%	0.23%	0.2%	0.61%	0.82%	0.4%
42	0.2%	0.21%	0.19%	0.57%	0.78%	0.38%
41	0.19%	0.19%	0.18%	0.54%	0.73%	0.35%
40	0.17%	0.18%	0.17%	0.51%	0.7%	0.34%
39	0.16%	0.16%	0.15%	0.48%	0.66%	0.31%
38	0.14%	0.15%	0.14%	0.45%	0.62%	0.29%
37	0.13%	0.14%	0.12%	0.42%	0.58%	0.27%
36	0.12%	0.13%	0.11%	0.4%	0.55%	0.26%
35	0.11%	0.13%	0.1%	0.37%	0.52%	0.24%
34	0.11%	0.12%	0.09%	0.35%	0.48%	0.23%
33	0.1%	0.12%	0.09%	0.33%	0.45%	0.21%
32	0.1%	0.12%	0.09%	0.31%	0.43%	0.2%
31	0.1%	0.12%	0.09%	0.29%	0.4%	0.19%
30	0.1%	0.11%	0.09%	0.28%	0.38%	0.18%
29	0.09%	0.11%	0.08%	0.26%	0.36%	0.17%
28	0.09%	0.1%	0.08%	0.25%	0.34%	0.16%
27	0.08%	0.09%	0.07%	0.24%	0.33%	0.15%
26	0.08%	0.08%	0.07%	0.23%	0.31%	0.14%
25	0.07%	0.08%	0.07%	0.22%	0.29%	0.14%
24	0.07%	0.08%	0.07%	0.21%	0.28%	0.13%
23	0.08%	0.08%	0.07%	0.2%	0.27%	0.12%
22	0.08%	0.08%	0.07%	0.18%	0.25%	0.12%
21	0.08%	0.09%	0.08%	0.17%	0.23%	0.11%
20	0.09%	0.09%	0.09%	0.16%	0.22%	0.11%
19	0.09%	0.1%	0.09%	0.15%	0.2%	0.1%
18	0.1%	0.1%	0.09%	0.14%	0.18%	0.09%
17	0.09%	0.09%	0.09%	0.12%	0.15%	0.08%
16	0.09%	0.09%	0.09%	0.1%	0.13%	0.08%
15	0.08%	0.08%	0.08%	0.09%	0.11%	0.07%
14	0.07%	0.07%	0.07%	0.08%	0.09%	0.06%
13	0.06%	0.05%	0.06%	0.07%	0.08%	0.05%
12	0.05%	0.04%	0.05%	0.06%	0.07%	0.05%
11	0.04%	0.04%	0.04%	0.06%	0.07%	0.05%
10	0.04%	0.03%	0.04%	0.06%	0.07%	0.05%
9	0.04%	0.04%	0.04%	0.06%	0.07%	0.05%
8	0.05%	0.04%	0.05%	0.07%	0.08%	0.06%
7	0.06%	0.05%	0.06%	0.07%	0.08%	0.06%
6	0.07%	0.07%	0.07%	0.08%	0.09%	0.07%
5	0.08%	0.07%	0.08%	0.1%	0.11%	0.09%
4	0.07%	0.07%	0.08%	0.13%	0.14%	0.11%
3	0.06%	0.06%	0.07%	0.17%	0.19%	0.16%
2	0.07%	0.07%	0.07%	0.25%	0.27%	0.23%
1	0.18%	0.18%	0.17%	0.4%	0.42%	0.37%
0	1.53%	1.61%	1.44%	2.59%	2.91%	2.27%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.59% in Namibia, 0.1% vs 0.28% at age 30, 1.12% vs 1.89% at 60, and 6.36% vs 8.1% at 80.

Death rate by age in Bangladesh vs Namibia

Chart Table

Bangladesh

Male

Female

Namibia

Male

Female

1x

Age	Death rate
	Bangladesh			Namibia
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	148	0	287.8
99	504	274.2	753	278.1	56	484
98	698	414	1,006	358	83.2	613
97	924	588	1,288	462	121.9	778
96	1,175	796	1,587	583	173.8	963
95	1,440	1,030	1,887	719	241.2	1,164
94	1,718	1,287	2,186	861	324	1,362
93	1,995	1,557	2,471	1,016	425	1,568
92	2,264	1,828	2,735	1,184	546	1,780
91	2,514	2,095	2,969	1,337	680	1,951
90	2,738	2,353	3,155	1,555	849	2,215
89	2,932	2,596	3,297	1,704	1,017	2,347
88	3,093	2,815	3,394	1,888	1,207	2,524
87	3,217	3,003	3,447	2,048	1,400	2,654
86	3,301	3,148	3,465	2,209	1,600	2,779
85	3,347	3,247	3,451	2,329	1,789	2,837
84	3,355	3,299	3,412	2,442	1,982	2,876
83	3,331	3,310	3,348	2,493	2,131	2,837
82	3,279	3,289	3,261	2,541	2,274	2,798
81	3,205	3,246	3,153	2,502	2,356	2,652
80	3,114	3,189	3,027	2,572	2,492	2,664
79	3,015	3,128	2,889	2,559	2,544	2,591
78	2,903	3,054	2,742	2,587	2,607	2,594
77	2,781	2,966	2,589	2,542	2,615	2,515
76	2,649	2,862	2,434	2,530	2,630	2,486
75	2,510	2,740	2,281	2,505	2,626	2,437
74	2,374	2,605	2,137	2,455	2,594	2,361
73	2,238	2,458	1,998	2,394	2,551	2,279
72	2,099	2,301	1,868	2,338	2,504	2,210
71	1,961	2,138	1,748	2,230	2,414	2,083
70	1,826	1,974	1,638	2,195	2,378	2,050
69	1,697	1,817	1,540	2,081	2,283	1,920
68	1,574	1,674	1,445	2,015	2,218	1,853
67	1,463	1,551	1,351	1,935	2,147	1,768
66	1,364	1,452	1,255	1,863	2,080	1,693
65	1,278	1,382	1,154	1,809	2,025	1,640
64	1,206	1,339	1,052	1,711	1,945	1,525
63	1,143	1,310	953	1,621	1,867	1,422
62	1,085	1,285	861	1,545	1,790	1,328
61	1,028	1,253	781	1,453	1,697	1,218
60	968	1,203	714	1,392	1,635	1,155
59	906	1,138	659	1,293	1,537	1,056
58	841	1,059	615	1,224	1,465	989
57	778	975	577	1,156	1,395	919
56	718	892	545	1,103	1,336	865
55	664	814	516	1,053	1,283	810
54	615	743	490	1,002	1,227	763
53	570	679	464	952	1,174	716
52	526	618	437	908	1,125	677
51	482	560	406	855	1,068	624
50	437	503	371	820	1,027	595
49	391	448	334	766	967	548
48	347	396	296.7	723	917	512
47	307	349	263.5	678	868	476
46	272.6	308	235.8	638	824	445
45	244	272.8	214.7	605	784	420
44	221.8	243.8	200.3	569	741	392
43	204.5	219.6	190.2	538	705	370
42	190.1	199.2	181.9	511	672	350
41	177.1	181.7	173	480	636	325
40	164	166.5	161.7	460	611	310
39	149.7	153.1	146.8	432	576	289
38	135.6	141.5	130.4	410	547	272.6
37	123.1	132.1	115.1	386	518	254.3
36	112.9	124.8	102.4	364	490	240.1
35	105.6	119.7	93.2	344	464	226.1
34	101.3	116.7	87.9	323	437	211.5
33	99.2	115.2	85.6	305	412	199.3
32	98.3	114.1	85	288.7	390	188.3
31	97.4	112.5	84.9	272.1	368	175.9
30	95.3	109.1	84	261.3	352	169.4
29	90.9	103.1	81.1	246.8	333	159.9
28	85.2	95.6	76.8	235	317	151.8
27	79.3	88.1	72.3	224.2	302	144.3
26	74.5	81.9	68.5	213.4	287.6	137
25	71.7	78	66.4	203.7	275.5	130.1
24	71	76.7	66.2	194.2	262.3	124.2
23	73	78.2	68.4	185.1	249.9	118.1
22	76.9	81.7	72.4	175.5	236.2	112.3
21	81.9	86.3	77.8	165	221	106.6
20	87.2	90.9	83.5	154.6	205.2	102.1
19	91.1	93.9	88.3	142.3	188	95.9
18	92.8	94.5	91	129.6	170.1	89.2
17	91.4	92	90.8	113	144.7	81.4
16	86.6	86.2	87	97.5	121.5	73.6
15	78	77	79	83.7	102.1	65.4
14	66.5	65.4	67.8	72	86.5	57.7
13	54.3	53.3	55.5	63.9	75.6	52.3
12	44.1	43.2	45.1	59.1	69.7	48.5
11	37.7	36.8	38.7	56.8	66.7	47
10	34.4	33.5	35.3	56.4	65.4	47.5
9	36.2	35	37.5	58.5	67.3	49.8
8	44.9	42.8	47	63.4	72.6	54.2
7	56.8	53.6	60.1	70.9	80.4	61.3
6	67.8	63.8	72.1	80.2	89.3	71
5	74.1	69.7	78.7	94.8	103.8	85.7
4	71.7	67.9	75.7	123.5	135.3	111.5
3	61.4	58.9	63.9	167.8	182.9	152.6
2	70.1	68.9	71.4	241.7	261.2	222.1
1	172.9	175.4	170.2	385	404	366
0	1,530	1,613	1,443	2,592	2,914	2,268

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 Namibia. The median age of death is 79.7 in Bangladesh and 72.7 in Namibia, 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 Namibia more than their death rates.

Life expectancy in other countries

+ -

1x