Life Expectancy in Bangladesh vs Mauritania (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Mauritania

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Mauritania
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.8	101.7	101.9
99	101.2	100.9	101.3	100.9	100.8	101
98	100.3	99.9	100.4	100	99.9	100.1
97	99.4	99.1	99.6	99.1	99	99.2
96	98.6	98.2	98.8	98.2	98.1	98.3
95	97.8	97.4	98	97.4	97.2	97.4
94	97	96.6	97.2	96.5	96.3	96.6
93	96.3	95.9	96.5	95.6	95.5	95.7
92	95.5	95.1	95.8	94.8	94.6	94.9
91	94.8	94.4	95.1	94	93.8	94.1
90	94.1	93.6	94.4	93.2	92.9	93.3
89	93.4	92.9	93.8	92.3	92.1	92.5
88	92.8	92.2	93.1	91.6	91.3	91.7
87	92.1	91.6	92.5	90.8	90.5	91
86	91.5	90.9	91.9	90	89.7	90.2
85	90.9	90.3	91.3	89.3	89	89.5
84	90.3	89.6	90.8	88.6	88.2	88.8
83	89.7	89	90.2	87.9	87.5	88.1
82	89.2	88.5	89.7	87.2	86.8	87.5
81	88.6	87.9	89.2	86.5	86.1	86.9
80	88.1	87.4	88.7	85.9	85.5	86.2
79	87.6	86.8	88.3	85.3	84.8	85.6
78	87.1	86.3	87.8	84.7	84.2	85.1
77	86.7	85.8	87.4	84.1	83.6	84.5
76	86.2	85.4	87	83.5	83	84
75	85.8	84.9	86.6	83	82.4	83.5
74	85.4	84.5	86.2	82.5	81.8	83
73	85	84	85.9	82	81.3	82.6
72	84.6	83.6	85.5	81.5	80.7	82.1
71	84.2	83.2	85.2	81	80.2	81.7
70	83.9	82.9	84.9	80.6	79.8	81.3
69	83.6	82.5	84.6	80.2	79.3	81
68	83.3	82.2	84.3	79.8	78.8	80.6
67	83	81.9	84	79.4	78.4	80.3
66	82.7	81.6	83.8	79	78	80
65	82.4	81.3	83.5	78.7	77.6	79.7
64	82.2	81.1	83.3	78.3	77.2	79.4
63	81.9	80.8	83.1	78	76.8	79.1
62	81.6	80.5	82.9	77.7	76.5	78.9
61	81.4	80.2	82.7	77.4	76.2	78.6
60	81.2	79.9	82.5	77.1	75.9	78.4
59	80.9	79.6	82.3	76.9	75.6	78.2
58	80.7	79.4	82.2	76.6	75.3	78
57	80.5	79.1	82	76.4	75	77.8
56	80.3	78.9	81.8	76.2	74.8	77.6
55	80.1	78.7	81.7	76	74.5	77.4
54	80	78.5	81.5	75.8	74.3	77.2
53	79.8	78.3	81.4	75.6	74.1	77
52	79.7	78.1	81.3	75.4	73.9	76.9
51	79.5	78	81.1	75.2	73.7	76.7
50	79.4	77.8	81	75	73.5	76.5
49	79.2	77.7	80.9	74.9	73.3	76.4
48	79.1	77.6	80.8	74.7	73.2	76.3
47	79	77.4	80.7	74.6	73	76.1
46	78.9	77.3	80.6	74.5	72.9	76
45	78.8	77.3	80.5	74.3	72.7	75.9
44	78.8	77.2	80.5	74.2	72.6	75.8
43	78.7	77.1	80.4	74.1	72.5	75.7
42	78.6	77	80.3	74	72.4	75.6
41	78.5	77	80.2	73.9	72.3	75.5
40	78.5	76.9	80.2	73.8	72.2	75.4
39	78.4	76.8	80.1	73.7	72.1	75.3
38	78.4	76.8	80.1	73.6	72	75.2
37	78.3	76.7	80	73.5	71.9	75.1
36	78.3	76.7	80	73.4	71.8	75
35	78.2	76.6	79.9	73.4	71.7	74.9
34	78.2	76.6	79.9	73.3	71.6	74.9
33	78.1	76.5	79.8	73.2	71.6	74.8
32	78.1	76.5	79.8	73.1	71.5	74.7
31	78	76.4	79.8	73.1	71.4	74.7
30	78	76.4	79.7	73	71.3	74.6
29	77.9	76.3	79.7	72.9	71.3	74.5
28	77.9	76.3	79.6	72.8	71.2	74.5
27	77.8	76.2	79.6	72.8	71.1	74.4
26	77.8	76.2	79.6	72.7	71	74.3
25	77.8	76.1	79.5	72.6	70.9	74.3
24	77.7	76.1	79.5	72.6	70.9	74.2
23	77.7	76	79.4	72.5	70.8	74.2
22	77.6	76	79.4	72.4	70.7	74.1
21	77.6	75.9	79.3	72.3	70.6	74.1
20	77.5	75.9	79.3	72.3	70.5	74
19	77.5	75.8	79.2	72.2	70.4	73.9
18	77.4	75.8	79.2	72.1	70.3	73.9
17	77.4	75.7	79.1	72.1	70.3	73.8
16	77.3	75.7	79.1	72	70.2	73.8
15	77.3	75.6	79	72	70.1	73.7
14	77.2	75.6	79	71.9	70.1	73.7
13	77.2	75.6	78.9	71.9	70.1	73.7
12	77.2	75.5	78.9	71.9	70	73.6
11	77.1	75.5	78.9	71.8	70	73.6
10	77.1	75.5	78.9	71.8	70	73.6
9	77.1	75.5	78.8	71.8	69.9	73.6
8	77.1	75.4	78.8	71.7	69.9	73.5
7	77	75.4	78.8	71.7	69.8	73.5
6	77	75.3	78.7	71.6	69.8	73.4
5	76.9	75.3	78.6	71.6	69.7	73.4
4	76.9	75.2	78.6	71.5	69.6	73.3
3	76.8	75.2	78.5	71.4	69.5	73.2
2	76.8	75.2	78.5	71.3	69.4	73.1
1	76.6	75	78.3	71.1	69.2	72.9
0	75.5	73.8	77.2	69.2	67.1	71.2

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 in Mauritania, rising to 82.4 and 78.7 at 65, and to 88.1 and 85.9 at 80 — higher than the 75.5 and 69.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Mauritania

Male

Female

1x

Age	Survival probability
	Bangladesh			Mauritania
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.12%	0.06%	0.2%
99	1.37%	0.63%	2.15%	0.2%	0.11%	0.32%
98	2.06%	1.05%	3.16%	0.32%	0.17%	0.5%
97	2.99%	1.63%	4.44%	0.5%	0.28%	0.77%
96	4.16%	2.43%	6.03%	0.76%	0.44%	1.15%
95	5.6%	3.46%	7.92%	1.12%	0.66%	1.66%
94	7.32%	4.75%	10.1%	1.61%	0.97%	2.34%
93	9.32%	6.3%	12.6%	2.25%	1.4%	3.22%
92	11.6%	8.13%	15.3%	3.07%	1.96%	4.32%
91	14.1%	10.2%	18.3%	4.1%	2.69%	5.68%
90	16.8%	12.6%	21.4%	5.36%	3.6%	7.31%
89	19.8%	15.2%	24.7%	6.88%	4.74%	9.22%
88	22.9%	18%	28.1%	8.66%	6.11%	11.4%
87	26.1%	21%	31.6%	10.7%	7.72%	13.9%
86	29.4%	24.1%	35%	13%	9.58%	16.7%
85	32.7%	27.4%	38.5%	15.6%	11.7%	19.7%
84	36.1%	30.7%	41.9%	18.3%	14%	22.8%
83	39.4%	34%	45.2%	21.2%	16.5%	26.2%
82	42.7%	37.3%	48.5%	24.3%	19.2%	29.6%
81	45.9%	40.5%	51.7%	27.5%	22%	33.1%
80	49%	43.7%	54.7%	30.8%	25%	36.6%
79	52%	46.8%	57.6%	34.1%	28.1%	40.2%
78	54.9%	49.9%	60.3%	37.4%	31.2%	43.7%
77	57.7%	52.9%	62.9%	40.7%	34.4%	47.1%
76	60.4%	55.7%	65.3%	44%	37.6%	50.3%
75	62.9%	58.5%	67.6%	47.2%	40.8%	53.5%
74	65.2%	61.1%	69.8%	50.3%	43.9%	56.5%
73	67.5%	63.5%	71.8%	53.2%	47%	59.3%
72	69.6%	65.8%	73.6%	56.1%	50%	62%
71	71.5%	68%	75.4%	58.8%	52.9%	64.5%
70	73.4%	69.9%	77%	61.3%	55.6%	66.8%
69	75.1%	71.8%	78.6%	63.7%	58.3%	68.9%
68	76.6%	73.4%	80%	66%	60.8%	70.9%
67	78.1%	75%	81.4%	68.1%	63.2%	72.7%
66	79.5%	76.4%	82.6%	70.1%	65.5%	74.4%
65	80.7%	77.8%	83.8%	72%	67.7%	76%
64	81.9%	79.2%	84.8%	73.7%	69.7%	77.4%
63	83.1%	80.5%	85.8%	75.3%	71.6%	78.8%
62	84.2%	81.8%	86.6%	76.8%	73.4%	80%
61	85.2%	83%	87.4%	78.2%	75%	81.2%
60	86.2%	84.2%	88.1%	79.5%	76.6%	82.2%
59	87.1%	85.4%	88.8%	80.7%	78%	83.2%
58	87.9%	86.4%	89.4%	81.8%	79.3%	84.1%
57	88.7%	87.4%	90%	82.8%	80.5%	85%
56	89.4%	88.3%	90.5%	83.8%	81.6%	85.7%
55	90.1%	89.1%	91%	84.6%	82.7%	86.5%
54	90.7%	89.8%	91.5%	85.4%	83.6%	87.2%
53	91.3%	90.5%	92%	86.2%	84.5%	87.8%
52	91.8%	91.1%	92.4%	86.9%	85.3%	88.4%
51	92.3%	91.7%	92.8%	87.5%	86%	89%
50	92.7%	92.2%	93.2%	88.1%	86.7%	89.5%
49	93.1%	92.6%	93.5%	88.7%	87.3%	90%
48	93.4%	93%	93.8%	89.2%	87.9%	90.4%
47	93.8%	93.4%	94.1%	89.6%	88.4%	90.8%
46	94%	93.7%	94.3%	90.1%	88.9%	91.2%
45	94.3%	94%	94.5%	90.5%	89.3%	91.6%
44	94.5%	94.2%	94.7%	90.8%	89.8%	91.9%
43	94.7%	94.4%	94.9%	91.2%	90.1%	92.2%
42	94.9%	94.6%	95.1%	91.5%	90.5%	92.5%
41	95.1%	94.8%	95.3%	91.8%	90.8%	92.8%
40	95.2%	95%	95.5%	92.1%	91.1%	93%
39	95.4%	95.1%	95.6%	92.3%	91.3%	93.3%
38	95.5%	95.3%	95.7%	92.5%	91.6%	93.5%
37	95.6%	95.4%	95.8%	92.8%	91.8%	93.7%
36	95.7%	95.5%	95.9%	93%	92.1%	93.9%
35	95.9%	95.6%	96%	93.2%	92.3%	94.1%
34	96%	95.8%	96.1%	93.4%	92.5%	94.3%
33	96.1%	95.9%	96.2%	93.5%	92.7%	94.4%
32	96.2%	96%	96.3%	93.7%	92.8%	94.6%
31	96.3%	96.1%	96.4%	93.9%	93%	94.7%
30	96.3%	96.2%	96.5%	94%	93.2%	94.9%
29	96.4%	96.3%	96.5%	94.2%	93.4%	95%
28	96.5%	96.4%	96.6%	94.3%	93.5%	95.1%
27	96.6%	96.5%	96.7%	94.5%	93.7%	95.3%
26	96.7%	96.6%	96.8%	94.6%	93.9%	95.4%
25	96.7%	96.7%	96.8%	94.7%	94%	95.5%
24	96.8%	96.7%	96.9%	94.9%	94.2%	95.6%
23	96.9%	96.8%	97%	95%	94.4%	95.7%
22	97%	96.9%	97%	95.2%	94.5%	95.8%
21	97%	97%	97.1%	95.3%	94.7%	95.9%
20	97.1%	97.1%	97.2%	95.4%	94.9%	96%
19	97.2%	97.2%	97.3%	95.6%	95%	96.1%
18	97.3%	97.3%	97.4%	95.7%	95.2%	96.2%
17	97.4%	97.4%	97.5%	95.8%	95.3%	96.3%
16	97.5%	97.4%	97.6%	95.9%	95.4%	96.4%
15	97.6%	97.5%	97.6%	96%	95.5%	96.4%
14	97.6%	97.6%	97.7%	96.1%	95.6%	96.5%
13	97.7%	97.6%	97.8%	96.1%	95.7%	96.6%
12	97.7%	97.7%	97.8%	96.2%	95.7%	96.6%
11	97.8%	97.7%	97.8%	96.2%	95.8%	96.7%
10	97.8%	97.8%	97.9%	96.3%	95.8%	96.7%
9	97.9%	97.8%	97.9%	96.3%	95.9%	96.7%
8	97.9%	97.8%	98%	96.4%	95.9%	96.8%
7	98%	97.9%	98%	96.4%	96%	96.9%
6	98%	97.9%	98.1%	96.5%	96.1%	96.9%
5	98.1%	98%	98.2%	96.6%	96.2%	97%
4	98.2%	98.1%	98.3%	96.7%	96.3%	97.1%
3	98.2%	98.1%	98.3%	96.8%	96.5%	97.2%
2	98.3%	98.2%	98.4%	97%	96.7%	97.4%
1	98.5%	98.4%	98.6%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 79.5% in Mauritania are expected to live past 60, 73.4% and 61.3% past 70, 49% and 30.8% past 80, and only 16.8% and 5.36% 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

Mauritania

Male

Female

1x

Age	Probability of dying
	Bangladesh			Mauritania
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	41.2%	42.7%	40.3%
99	36.9%	43.4%	35%	39.3%	40.9%	38.4%
98	33.8%	39.5%	31.9%	37.5%	39.2%	36.6%
97	30.9%	36%	29%	35.7%	37.5%	34.8%
96	28.2%	32.7%	26.3%	33.9%	35.7%	32.9%
95	25.7%	29.8%	23.8%	32%	33.9%	31%
94	23.5%	27.1%	21.6%	30.2%	32.2%	29.1%
93	21.4%	24.7%	19.6%	28.4%	30.4%	27.3%
92	19.5%	22.5%	17.9%	26.7%	28.7%	25.5%
91	17.8%	20.5%	16.2%	25.1%	27.1%	23.9%
90	16.3%	18.7%	14.7%	23.6%	25.5%	22.3%
89	14.8%	17.1%	13.3%	22.1%	23.9%	20.8%
88	13.5%	15.6%	12.1%	20.6%	22.4%	19.3%
87	12.3%	14.3%	10.9%	19.1%	20.9%	17.9%
86	11.2%	13%	9.89%	17.7%	19.4%	16.5%
85	10.2%	11.9%	8.97%	16.3%	17.9%	15.2%
84	9.3%	10.8%	8.14%	15%	16.5%	13.9%
83	8.45%	9.74%	7.4%	13.8%	15.2%	12.7%
82	7.68%	8.82%	6.72%	12.6%	14%	11.6%
81	6.98%	8.01%	6.1%	11.6%	12.9%	10.6%
80	6.36%	7.29%	5.53%	10.6%	11.9%	9.64%
79	5.8%	6.68%	5.02%	9.73%	11%	8.77%
78	5.29%	6.12%	4.54%	8.91%	10.1%	7.97%
77	4.82%	5.61%	4.11%	8.14%	9.29%	7.22%
76	4.39%	5.14%	3.73%	7.43%	8.53%	6.54%
75	3.99%	4.69%	3.37%	6.76%	7.82%	5.9%
74	3.64%	4.27%	3.06%	6.14%	7.15%	5.31%
73	3.32%	3.87%	2.78%	5.57%	6.53%	4.78%
72	3.02%	3.49%	2.54%	5.05%	5.96%	4.29%
71	2.74%	3.15%	2.32%	4.58%	5.45%	3.85%
70	2.49%	2.82%	2.13%	4.15%	4.98%	3.45%
69	2.26%	2.53%	1.96%	3.77%	4.55%	3.1%
68	2.05%	2.28%	1.81%	3.43%	4.16%	2.79%
67	1.87%	2.07%	1.66%	3.12%	3.81%	2.52%
66	1.72%	1.9%	1.52%	2.84%	3.48%	2.28%
65	1.58%	1.78%	1.38%	2.59%	3.19%	2.06%
64	1.47%	1.69%	1.24%	2.36%	2.91%	1.87%
63	1.38%	1.63%	1.11%	2.15%	2.65%	1.71%
62	1.29%	1.57%	0.99%	1.96%	2.42%	1.55%
61	1.21%	1.51%	0.89%	1.78%	2.2%	1.42%
60	1.12%	1.43%	0.81%	1.62%	2.01%	1.29%
59	1.04%	1.33%	0.74%	1.48%	1.83%	1.18%
58	0.96%	1.23%	0.69%	1.35%	1.66%	1.08%
57	0.88%	1.12%	0.64%	1.23%	1.51%	0.99%
56	0.8%	1.01%	0.6%	1.13%	1.37%	0.92%
55	0.74%	0.91%	0.57%	1.04%	1.25%	0.85%
54	0.68%	0.83%	0.54%	0.95%	1.14%	0.78%
53	0.62%	0.75%	0.5%	0.87%	1.04%	0.73%
52	0.57%	0.68%	0.47%	0.8%	0.94%	0.68%
51	0.52%	0.61%	0.44%	0.73%	0.86%	0.63%
50	0.47%	0.55%	0.4%	0.67%	0.78%	0.58%
49	0.42%	0.48%	0.36%	0.62%	0.71%	0.54%
48	0.37%	0.43%	0.32%	0.57%	0.65%	0.5%
47	0.33%	0.37%	0.28%	0.52%	0.59%	0.46%
46	0.29%	0.33%	0.25%	0.48%	0.54%	0.43%
45	0.26%	0.29%	0.23%	0.44%	0.49%	0.39%
44	0.23%	0.26%	0.21%	0.4%	0.45%	0.36%
43	0.22%	0.23%	0.2%	0.37%	0.41%	0.34%
42	0.2%	0.21%	0.19%	0.34%	0.38%	0.31%
41	0.19%	0.19%	0.18%	0.32%	0.35%	0.29%
40	0.17%	0.18%	0.17%	0.3%	0.32%	0.27%
39	0.16%	0.16%	0.15%	0.28%	0.3%	0.26%
38	0.14%	0.15%	0.14%	0.26%	0.28%	0.24%
37	0.13%	0.14%	0.12%	0.24%	0.26%	0.22%
36	0.12%	0.13%	0.11%	0.23%	0.24%	0.21%
35	0.11%	0.13%	0.1%	0.21%	0.23%	0.2%
34	0.11%	0.12%	0.09%	0.2%	0.22%	0.18%
33	0.1%	0.12%	0.09%	0.19%	0.21%	0.17%
32	0.1%	0.12%	0.09%	0.18%	0.2%	0.16%
31	0.1%	0.12%	0.09%	0.17%	0.19%	0.16%
30	0.1%	0.11%	0.09%	0.17%	0.18%	0.15%
29	0.09%	0.11%	0.08%	0.16%	0.18%	0.14%
28	0.09%	0.1%	0.08%	0.16%	0.18%	0.14%
27	0.08%	0.09%	0.07%	0.15%	0.18%	0.13%
26	0.08%	0.08%	0.07%	0.15%	0.18%	0.12%
25	0.07%	0.08%	0.07%	0.15%	0.18%	0.12%
24	0.07%	0.08%	0.07%	0.15%	0.18%	0.11%
23	0.08%	0.08%	0.07%	0.15%	0.18%	0.11%
22	0.08%	0.08%	0.07%	0.15%	0.18%	0.11%
21	0.08%	0.09%	0.08%	0.15%	0.18%	0.11%
20	0.09%	0.09%	0.09%	0.14%	0.18%	0.11%
19	0.09%	0.1%	0.09%	0.14%	0.17%	0.1%
18	0.1%	0.1%	0.09%	0.13%	0.16%	0.1%
17	0.09%	0.09%	0.09%	0.11%	0.14%	0.09%
16	0.09%	0.09%	0.09%	0.1%	0.12%	0.08%
15	0.08%	0.08%	0.08%	0.08%	0.1%	0.07%
14	0.07%	0.07%	0.07%	0.07%	0.08%	0.06%
13	0.06%	0.05%	0.06%	0.06%	0.07%	0.05%
12	0.05%	0.04%	0.05%	0.05%	0.06%	0.05%
11	0.04%	0.04%	0.04%	0.05%	0.05%	0.05%
10	0.04%	0.03%	0.04%	0.05%	0.05%	0.05%
9	0.04%	0.04%	0.04%	0.05%	0.06%	0.05%
8	0.05%	0.04%	0.05%	0.06%	0.06%	0.05%
7	0.06%	0.05%	0.06%	0.06%	0.07%	0.06%
6	0.07%	0.07%	0.07%	0.08%	0.08%	0.07%
5	0.08%	0.07%	0.08%	0.09%	0.1%	0.08%
4	0.07%	0.07%	0.08%	0.11%	0.13%	0.1%
3	0.06%	0.06%	0.07%	0.14%	0.16%	0.13%
2	0.07%	0.07%	0.07%	0.18%	0.2%	0.17%
1	0.18%	0.18%	0.17%	0.24%	0.26%	0.21%
0	1.53%	1.61%	1.44%	2.75%	3.1%	2.4%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.75% in Mauritania, 0.1% vs 0.17% at age 30, 1.12% vs 1.62% at 60, and 6.36% vs 10.6% at 80.

Death rate by age in Bangladesh vs Mauritania

Chart Table

Bangladesh

Male

Female

Mauritania

Male

Female

1x

Age	Death rate
	Bangladesh			Mauritania
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	0
99	504	274.2	753	79.7	43.5	122.2
98	698	414	1,006	121.8	68.6	183.7
97	924	588	1,288	180.3	105	267.3
96	1,175	796	1,587	258.6	155.7	377
95	1,440	1,030	1,887	360	223.8	514
94	1,718	1,287	2,186	486	313	681
93	1,995	1,557	2,471	639	425	878
92	2,264	1,828	2,735	820	562	1,104
91	2,514	2,095	2,969	1,029	727	1,355
90	2,738	2,353	3,155	1,263	919	1,628
89	2,932	2,596	3,297	1,517	1,135	1,916
88	3,093	2,815	3,394	1,783	1,370	2,207
87	3,217	3,003	3,447	2,051	1,615	2,491
86	3,301	3,148	3,465	2,308	1,860	2,754
85	3,347	3,247	3,451	2,544	2,094	2,986
84	3,355	3,299	3,412	2,752	2,312	3,179
83	3,331	3,310	3,348	2,928	2,508	3,330
82	3,279	3,289	3,261	3,072	2,682	3,439
81	3,205	3,246	3,153	3,184	2,835	3,506
80	3,114	3,189	3,027	3,265	2,966	3,534
79	3,015	3,128	2,889	3,315	3,072	3,524
78	2,903	3,054	2,742	3,332	3,149	3,478
77	2,781	2,966	2,589	3,317	3,196	3,399
76	2,649	2,862	2,434	3,269	3,208	3,290
75	2,510	2,740	2,281	3,191	3,188	3,156
74	2,374	2,605	2,137	3,089	3,140	3,001
73	2,238	2,458	1,998	2,968	3,069	2,833
72	2,099	2,301	1,868	2,833	2,981	2,657
71	1,961	2,138	1,748	2,692	2,880	2,479
70	1,826	1,974	1,638	2,547	2,770	2,304
69	1,697	1,817	1,540	2,402	2,654	2,136
68	1,574	1,674	1,445	2,260	2,533	1,977
67	1,463	1,551	1,351	2,122	2,409	1,830
66	1,364	1,452	1,255	1,989	2,283	1,693
65	1,278	1,382	1,154	1,861	2,155	1,568
64	1,206	1,339	1,052	1,736	2,027	1,452
63	1,143	1,310	953	1,617	1,901	1,344
62	1,085	1,285	861	1,503	1,776	1,243
61	1,028	1,253	781	1,394	1,654	1,149
60	968	1,203	714	1,291	1,536	1,062
59	906	1,138	659	1,194	1,423	982
58	841	1,059	615	1,105	1,316	909
57	778	975	577	1,022	1,216	844
56	718	892	545	946	1,122	785
55	664	814	516	876	1,034	732
54	615	743	490	811	952	684
53	570	679	464	751	876	639
52	526	618	437	695	805	597
51	482	560	406	642	740	557
50	437	503	371	594	679	520
49	391	448	334	548	622	484
48	347	396	296.7	505	569	450
47	307	349	263.5	466	521	418
46	272.6	308	235.8	429	477	388
45	244	272.8	214.7	396	437	360
44	221.8	243.8	200.3	366	401	335
43	204.5	219.6	190.2	338	368	312
42	190.1	199.2	181.9	314	340	291.1
41	177.1	181.7	173	292.2	315	272.3
40	164	166.5	161.7	272.5	292.1	255.1
39	149.7	153.1	146.8	254.8	272.2	239.1
38	135.6	141.5	130.4	238.5	254.4	224.2
37	123.1	132.1	115.1	223.5	238.4	210.1
36	112.9	124.8	102.4	209.8	224.1	196.8
35	105.6	119.7	93.2	197.3	211.4	184.5
34	101.3	116.7	87.9	186.2	200.3	173.3
33	99.2	115.2	85.6	176.5	190.7	163.4
32	98.3	114.1	85	168.2	182.7	154.8
31	97.4	112.5	84.9	161.2	176.2	147.3
30	95.3	109.1	84	155.4	171.2	140.7
29	90.9	103.1	81.1	150.7	167.7	134.7
28	85.2	95.6	76.8	146.8	165.6	129
27	79.3	88.1	72.3	143.7	164.9	123.5
26	74.5	81.9	68.5	141.3	165.4	118.3
25	71.7	78	66.4	139.8	167	113.7
24	71	76.7	66.2	139.2	169.5	109.9
23	73	78.2	68.4	139.3	172.3	107.1
22	76.9	81.7	72.4	139.7	174.6	105.3
21	81.9	86.3	77.8	139.6	175.1	104.1
20	87.2	90.9	83.5	137.4	172.1	102.6
19	91.1	93.9	88.3	132	163.8	99.7
18	92.8	94.5	91	122.6	150	94.7
17	91.4	92	90.8	109.6	131.5	87.1
16	86.6	86.2	87	94.8	111.3	77.9
15	78	77	79	80.3	92	68.2
14	66.5	65.4	67.8	67.9	76	59.4
13	54.3	53.3	55.5	58.4	64.2	52.4
12	44.1	43.2	45.1	52	56.4	47.5
11	37.7	36.8	38.7	48.7	52.3	44.9
10	34.4	33.5	35.3	48	51.4	44.4
9	36.2	35	37.5	49.9	53.5	46.1
8	44.9	42.8	47	54.5	58.7	50.2
7	56.8	53.6	60.1	62.2	67.2	57
6	67.8	63.8	72.1	73.5	79.7	67.1
5	74.1	69.7	78.7	89.4	97.2	81.4
4	71.7	67.9	75.7	111.2	120.9	101.1
3	61.4	58.9	63.9	140.3	152.5	127.7
2	70.1	68.9	71.4	178.7	193.9	163
1	172.9	175.4	170.2	228.6	247.6	209
0	1,530	1,613	1,443	2,753	3,099	2,399

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 78 in Mauritania. The median age of death is 79.7 in Bangladesh and 74.1 in Mauritania, 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 Mauritania more than their death rates.

Life expectancy in other countries

+ -

1x