Life Expectancy in Bangladesh vs France (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

France

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			France
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.2	102	102.3
99	101.2	100.9	101.3	101.4	101.1	101.4
98	100.3	99.9	100.4	100.6	100.3	100.7
97	99.4	99.1	99.6	99.8	99.5	99.9
96	98.6	98.2	98.8	99	98.7	99.2
95	97.8	97.4	98	98.3	97.9	98.4
94	97	96.6	97.2	97.6	97.1	97.8
93	96.3	95.9	96.5	96.9	96.4	97.1
92	95.5	95.1	95.8	96.3	95.7	96.5
91	94.8	94.4	95.1	95.6	95	95.9
90	94.1	93.6	94.4	95	94.4	95.4
89	93.4	92.9	93.8	94.5	93.8	94.8
88	92.8	92.2	93.1	93.9	93.2	94.3
87	92.1	91.6	92.5	93.4	92.6	93.9
86	91.5	90.9	91.9	93	92.1	93.5
85	90.9	90.3	91.3	92.5	91.6	93.1
84	90.3	89.6	90.8	92.1	91.1	92.7
83	89.7	89	90.2	91.7	90.7	92.4
82	89.2	88.5	89.7	91.4	90.3	92.1
81	88.6	87.9	89.2	91	89.9	91.8
80	88.1	87.4	88.7	90.7	89.5	91.6
79	87.6	86.8	88.3	90.4	89.2	91.3
78	87.1	86.3	87.8	90.1	88.9	91.1
77	86.7	85.8	87.4	89.9	88.5	90.9
76	86.2	85.4	87	89.6	88.2	90.7
75	85.8	84.9	86.6	89.4	87.9	90.5
74	85.4	84.5	86.2	89.1	87.7	90.3
73	85	84	85.9	88.9	87.4	90.2
72	84.6	83.6	85.5	88.7	87.1	90
71	84.2	83.2	85.2	88.5	86.8	89.9
70	83.9	82.9	84.9	88.3	86.6	89.7
69	83.6	82.5	84.6	88.1	86.3	89.6
68	83.3	82.2	84.3	87.9	86.1	89.4
67	83	81.9	84	87.7	85.8	89.3
66	82.7	81.6	83.8	87.5	85.6	89.2
65	82.4	81.3	83.5	87.3	85.4	89
64	82.2	81.1	83.3	87.1	85.1	88.9
63	81.9	80.8	83.1	87	84.9	88.8
62	81.6	80.5	82.9	86.8	84.7	88.7
61	81.4	80.2	82.7	86.6	84.5	88.5
60	81.2	79.9	82.5	86.4	84.2	88.4
59	80.9	79.6	82.3	86.3	84.1	88.3
58	80.7	79.4	82.2	86.1	83.9	88.2
57	80.5	79.1	82	86	83.7	88.1
56	80.3	78.9	81.8	85.9	83.5	88
55	80.1	78.7	81.7	85.8	83.4	87.9
54	80	78.5	81.5	85.6	83.2	87.9
53	79.8	78.3	81.4	85.5	83.1	87.8
52	79.7	78.1	81.3	85.4	83	87.7
51	79.5	78	81.1	85.3	82.9	87.6
50	79.4	77.8	81	85.3	82.8	87.6
49	79.2	77.7	80.9	85.2	82.7	87.5
48	79.1	77.6	80.8	85.1	82.6	87.4
47	79	77.4	80.7	85	82.5	87.4
46	78.9	77.3	80.6	85	82.4	87.3
45	78.8	77.3	80.5	84.9	82.3	87.3
44	78.8	77.2	80.5	84.8	82.3	87.2
43	78.7	77.1	80.4	84.8	82.2	87.2
42	78.6	77	80.3	84.7	82.1	87.2
41	78.5	77	80.2	84.7	82.1	87.1
40	78.5	76.9	80.2	84.6	82	87.1
39	78.4	76.8	80.1	84.6	82	87.1
38	78.4	76.8	80.1	84.6	81.9	87.1
37	78.3	76.7	80	84.5	81.9	87
36	78.3	76.7	80	84.5	81.8	87
35	78.2	76.6	79.9	84.5	81.8	87
34	78.2	76.6	79.9	84.4	81.8	87
33	78.1	76.5	79.8	84.4	81.7	87
32	78.1	76.5	79.8	84.4	81.7	86.9
31	78	76.4	79.8	84.4	81.7	86.9
30	78	76.4	79.7	84.3	81.6	86.9
29	77.9	76.3	79.7	84.3	81.6	86.9
28	77.9	76.3	79.6	84.3	81.6	86.9
27	77.8	76.2	79.6	84.3	81.5	86.9
26	77.8	76.2	79.6	84.2	81.5	86.9
25	77.8	76.1	79.5	84.2	81.5	86.9
24	77.7	76.1	79.5	84.2	81.4	86.8
23	77.7	76	79.4	84.2	81.4	86.8
22	77.6	76	79.4	84.2	81.4	86.8
21	77.6	75.9	79.3	84.1	81.3	86.8
20	77.5	75.9	79.3	84.1	81.3	86.8
19	77.5	75.8	79.2	84.1	81.3	86.8
18	77.4	75.8	79.2	84.1	81.3	86.8
17	77.4	75.7	79.1	84.1	81.3	86.8
16	77.3	75.7	79.1	84.1	81.2	86.8
15	77.3	75.6	79	84.1	81.2	86.8
14	77.2	75.6	79	84	81.2	86.7
13	77.2	75.6	78.9	84	81.2	86.7
12	77.2	75.5	78.9	84	81.2	86.7
11	77.1	75.5	78.9	84	81.2	86.7
10	77.1	75.5	78.9	84	81.2	86.7
9	77.1	75.5	78.8	84	81.2	86.7
8	77.1	75.4	78.8	84	81.2	86.7
7	77	75.4	78.8	84	81.2	86.7
6	77	75.3	78.7	84	81.2	86.7
5	76.9	75.3	78.6	84	81.2	86.7
4	76.9	75.2	78.6	84	81.2	86.7
3	76.8	75.2	78.5	84	81.2	86.7
2	76.8	75.2	78.5	84	81.2	86.7
1	76.6	75	78.3	84	81.1	86.7
0	75.5	73.8	77.2	83.7	80.9	86.4

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 84.3 in France, rising to 82.4 and 87.3 at 65, and to 88.1 and 90.7 at 80 — higher than the 75.5 and 83.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

France

Male

Female

1x

Age	Survival probability
	Bangladesh			France
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	3.93%	1.85%	5.69%
99	1.37%	0.63%	2.15%	5.65%	2.82%	8.07%
98	2.06%	1.05%	3.16%	7.83%	4.15%	11%
97	2.99%	1.63%	4.44%	10.5%	5.88%	14.5%
96	4.16%	2.43%	6.03%	13.6%	8.06%	18.6%
95	5.6%	3.46%	7.92%	17.2%	10.7%	23.1%
94	7.32%	4.75%	10.1%	21.1%	13.7%	27.9%
93	9.32%	6.3%	12.6%	25.3%	17.2%	32.8%
92	11.6%	8.13%	15.3%	29.7%	21%	37.9%
91	14.1%	10.2%	18.3%	34.2%	25%	42.9%
90	16.8%	12.6%	21.4%	38.8%	29.1%	47.9%
89	19.8%	15.2%	24.7%	43.2%	33.3%	52.6%
88	22.9%	18%	28.1%	47.5%	37.6%	57%
87	26.1%	21%	31.6%	51.5%	41.6%	61%
86	29.4%	24.1%	35%	55.3%	45.5%	64.7%
85	32.7%	27.4%	38.5%	58.8%	49.2%	68%
84	36.1%	30.7%	41.9%	61.9%	52.7%	70.9%
83	39.4%	34%	45.2%	64.8%	55.8%	73.5%
82	42.7%	37.3%	48.5%	67.4%	58.7%	75.8%
81	45.9%	40.5%	51.7%	69.7%	61.4%	77.8%
80	49%	43.7%	54.7%	71.9%	63.9%	79.6%
79	52%	46.8%	57.6%	73.8%	66.2%	81.2%
78	54.9%	49.9%	60.3%	75.6%	68.3%	82.7%
77	57.7%	52.9%	62.9%	77.2%	70.3%	84%
76	60.4%	55.7%	65.3%	78.7%	72.1%	85.1%
75	62.9%	58.5%	67.6%	80.1%	73.8%	86.2%
74	65.2%	61.1%	69.8%	81.4%	75.4%	87.2%
73	67.5%	63.5%	71.8%	82.6%	77%	88%
72	69.6%	65.8%	73.6%	83.7%	78.4%	88.9%
71	71.5%	68%	75.4%	84.7%	79.7%	89.6%
70	73.4%	69.9%	77%	85.7%	81%	90.3%
69	75.1%	71.8%	78.6%	86.6%	82.3%	91%
68	76.6%	73.4%	80%	87.5%	83.4%	91.6%
67	78.1%	75%	81.4%	88.4%	84.5%	92.1%
66	79.5%	76.4%	82.6%	89.2%	85.6%	92.7%
65	80.7%	77.8%	83.8%	89.9%	86.6%	93.2%
64	81.9%	79.2%	84.8%	90.6%	87.6%	93.6%
63	83.1%	80.5%	85.8%	91.3%	88.5%	94.1%
62	84.2%	81.8%	86.6%	92%	89.4%	94.5%
61	85.2%	83%	87.4%	92.6%	90.3%	94.9%
60	86.2%	84.2%	88.1%	93.2%	91.1%	95.3%
59	87.1%	85.4%	88.8%	93.7%	91.8%	95.7%
58	87.9%	86.4%	89.4%	94.2%	92.4%	96%
57	88.7%	87.4%	90%	94.7%	93%	96.3%
56	89.4%	88.3%	90.5%	95.1%	93.6%	96.6%
55	90.1%	89.1%	91%	95.5%	94.1%	96.9%
54	90.7%	89.8%	91.5%	95.8%	94.6%	97.1%
53	91.3%	90.5%	92%	96.2%	95%	97.3%
52	91.8%	91.1%	92.4%	96.5%	95.4%	97.5%
51	92.3%	91.7%	92.8%	96.7%	95.7%	97.7%
50	92.7%	92.2%	93.2%	97%	96%	97.9%
49	93.1%	92.6%	93.5%	97.2%	96.3%	98.1%
48	93.4%	93%	93.8%	97.4%	96.6%	98.2%
47	93.8%	93.4%	94.1%	97.6%	96.8%	98.4%
46	94%	93.7%	94.3%	97.8%	97%	98.5%
45	94.3%	94%	94.5%	97.9%	97.2%	98.6%
44	94.5%	94.2%	94.7%	98.1%	97.4%	98.7%
43	94.7%	94.4%	94.9%	98.2%	97.6%	98.8%
42	94.9%	94.6%	95.1%	98.3%	97.7%	98.8%
41	95.1%	94.8%	95.3%	98.4%	97.9%	98.9%
40	95.2%	95%	95.5%	98.5%	98%	99%
39	95.4%	95.1%	95.6%	98.6%	98.1%	99%
38	95.5%	95.3%	95.7%	98.6%	98.2%	99.1%
37	95.6%	95.4%	95.8%	98.7%	98.3%	99.1%
36	95.7%	95.5%	95.9%	98.8%	98.4%	99.2%
35	95.9%	95.6%	96%	98.8%	98.5%	99.2%
34	96%	95.8%	96.1%	98.9%	98.6%	99.2%
33	96.1%	95.9%	96.2%	99%	98.7%	99.3%
32	96.2%	96%	96.3%	99%	98.7%	99.3%
31	96.3%	96.1%	96.4%	99.1%	98.8%	99.3%
30	96.3%	96.2%	96.5%	99.1%	98.9%	99.4%
29	96.4%	96.3%	96.5%	99.1%	98.9%	99.4%
28	96.5%	96.4%	96.6%	99.2%	99%	99.4%
27	96.6%	96.5%	96.7%	99.2%	99%	99.4%
26	96.7%	96.6%	96.8%	99.3%	99.1%	99.4%
25	96.7%	96.7%	96.8%	99.3%	99.2%	99.5%
24	96.8%	96.7%	96.9%	99.3%	99.2%	99.5%
23	96.9%	96.8%	97%	99.4%	99.3%	99.5%
22	97%	96.9%	97%	99.4%	99.3%	99.5%
21	97%	97%	97.1%	99.4%	99.4%	99.5%
20	97.1%	97.1%	97.2%	99.5%	99.4%	99.6%
19	97.2%	97.2%	97.3%	99.5%	99.4%	99.6%
18	97.3%	97.3%	97.4%	99.5%	99.5%	99.6%
17	97.4%	97.4%	97.5%	99.5%	99.5%	99.6%
16	97.5%	97.4%	97.6%	99.6%	99.5%	99.6%
15	97.6%	97.5%	97.6%	99.6%	99.5%	99.6%
14	97.6%	97.6%	97.7%	99.6%	99.5%	99.6%
13	97.7%	97.6%	97.8%	99.6%	99.6%	99.6%
12	97.7%	97.7%	97.8%	99.6%	99.6%	99.6%
11	97.8%	97.7%	97.8%	99.6%	99.6%	99.6%
10	97.8%	97.8%	97.9%	99.6%	99.6%	99.6%
9	97.9%	97.8%	97.9%	99.6%	99.6%	99.7%
8	97.9%	97.8%	98%	99.6%	99.6%	99.7%
7	98%	97.9%	98%	99.6%	99.6%	99.7%
6	98%	97.9%	98.1%	99.6%	99.6%	99.7%
5	98.1%	98%	98.2%	99.6%	99.6%	99.7%
4	98.2%	98.1%	98.3%	99.6%	99.6%	99.7%
3	98.2%	98.1%	98.3%	99.7%	99.6%	99.7%
2	98.3%	98.2%	98.4%	99.7%	99.6%	99.7%
1	98.5%	98.4%	98.6%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 93.2% in France are expected to live past 60, 73.4% and 85.7% past 70, 49% and 71.9% past 80, and only 16.8% and 38.8% 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

France

Male

Female

1x

Age	Probability of dying
	Bangladesh			France
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	32.7%	37%	31.9%
99	36.9%	43.4%	35%	30.4%	34.5%	29.5%
98	33.8%	39.5%	31.9%	27.9%	32%	26.8%
97	30.9%	36%	29%	25.4%	29.5%	24.2%
96	28.2%	32.7%	26.3%	23%	27%	21.8%
95	25.7%	29.8%	23.8%	20.7%	24.5%	19.4%
94	23.5%	27.1%	21.6%	18.6%	22.3%	17.2%
93	21.4%	24.7%	19.6%	16.6%	20.1%	15.2%
92	19.5%	22.5%	17.9%	14.8%	18%	13.4%
91	17.8%	20.5%	16.2%	13.2%	16%	11.8%
90	16.3%	18.7%	14.7%	11.7%	14.3%	10.3%
89	14.8%	17.1%	13.3%	10.3%	12.6%	8.95%
88	13.5%	15.6%	12.1%	9.02%	11.2%	7.73%
87	12.3%	14.3%	10.9%	7.87%	9.83%	6.64%
86	11.2%	13%	9.89%	6.82%	8.56%	5.67%
85	10.2%	11.9%	8.97%	5.91%	7.47%	4.84%
84	9.3%	10.8%	8.14%	5.11%	6.52%	4.12%
83	8.45%	9.74%	7.4%	4.42%	5.67%	3.52%
82	7.68%	8.82%	6.72%	3.84%	4.95%	3.03%
81	6.98%	8.01%	6.1%	3.37%	4.37%	2.62%
80	6.36%	7.29%	5.53%	2.98%	3.89%	2.27%
79	5.8%	6.68%	5.02%	2.64%	3.48%	1.98%
78	5.29%	6.12%	4.54%	2.35%	3.12%	1.73%
77	4.82%	5.61%	4.11%	2.1%	2.8%	1.53%
76	4.39%	5.14%	3.73%	1.89%	2.53%	1.37%
75	3.99%	4.69%	3.37%	1.72%	2.32%	1.23%
74	3.64%	4.27%	3.06%	1.57%	2.13%	1.11%
73	3.32%	3.87%	2.78%	1.44%	1.96%	1.01%
72	3.02%	3.49%	2.54%	1.34%	1.82%	0.92%
71	2.74%	3.15%	2.32%	1.24%	1.7%	0.85%
70	2.49%	2.82%	2.13%	1.15%	1.59%	0.77%
69	2.26%	2.53%	1.96%	1.07%	1.49%	0.71%
68	2.05%	2.28%	1.81%	1%	1.39%	0.65%
67	1.87%	2.07%	1.66%	0.94%	1.31%	0.61%
66	1.72%	1.9%	1.52%	0.9%	1.25%	0.58%
65	1.58%	1.78%	1.38%	0.85%	1.19%	0.55%
64	1.47%	1.69%	1.24%	0.8%	1.12%	0.51%
63	1.38%	1.63%	1.11%	0.76%	1.06%	0.48%
62	1.29%	1.57%	0.99%	0.72%	1%	0.45%
61	1.21%	1.51%	0.89%	0.67%	0.93%	0.43%
60	1.12%	1.43%	0.81%	0.62%	0.85%	0.4%
59	1.04%	1.33%	0.74%	0.57%	0.78%	0.37%
58	0.96%	1.23%	0.69%	0.52%	0.71%	0.35%
57	0.88%	1.12%	0.64%	0.48%	0.65%	0.32%
56	0.8%	1.01%	0.6%	0.44%	0.6%	0.3%
55	0.74%	0.91%	0.57%	0.4%	0.54%	0.27%
54	0.68%	0.83%	0.54%	0.36%	0.49%	0.25%
53	0.62%	0.75%	0.5%	0.33%	0.44%	0.23%
52	0.57%	0.68%	0.47%	0.31%	0.4%	0.21%
51	0.52%	0.61%	0.44%	0.28%	0.36%	0.2%
50	0.47%	0.55%	0.4%	0.25%	0.33%	0.18%
49	0.42%	0.48%	0.36%	0.23%	0.3%	0.16%
48	0.37%	0.43%	0.32%	0.21%	0.28%	0.15%
47	0.33%	0.37%	0.28%	0.19%	0.25%	0.14%
46	0.29%	0.33%	0.25%	0.17%	0.22%	0.12%
45	0.26%	0.29%	0.23%	0.15%	0.2%	0.11%
44	0.23%	0.26%	0.21%	0.14%	0.19%	0.1%
43	0.22%	0.23%	0.2%	0.13%	0.17%	0.09%
42	0.2%	0.21%	0.19%	0.11%	0.15%	0.08%
41	0.19%	0.19%	0.18%	0.1%	0.14%	0.07%
40	0.17%	0.18%	0.17%	0.09%	0.12%	0.06%
39	0.16%	0.16%	0.15%	0.09%	0.12%	0.06%
38	0.14%	0.15%	0.14%	0.08%	0.11%	0.05%
37	0.13%	0.14%	0.12%	0.07%	0.1%	0.05%
36	0.12%	0.13%	0.11%	0.07%	0.1%	0.04%
35	0.11%	0.13%	0.1%	0.06%	0.09%	0.04%
34	0.11%	0.12%	0.09%	0.06%	0.08%	0.04%
33	0.1%	0.12%	0.09%	0.06%	0.08%	0.03%
32	0.1%	0.12%	0.09%	0.05%	0.07%	0.03%
31	0.1%	0.12%	0.09%	0.05%	0.07%	0.03%
30	0.1%	0.11%	0.09%	0.05%	0.07%	0.03%
29	0.09%	0.11%	0.08%	0.05%	0.06%	0.03%
28	0.09%	0.1%	0.08%	0.04%	0.06%	0.02%
27	0.08%	0.09%	0.07%	0.04%	0.06%	0.02%
26	0.08%	0.08%	0.07%	0.04%	0.06%	0.02%
25	0.07%	0.08%	0.07%	0.04%	0.06%	0.02%
24	0.07%	0.08%	0.07%	0.04%	0.05%	0.02%
23	0.08%	0.08%	0.07%	0.03%	0.05%	0.02%
22	0.08%	0.08%	0.07%	0.03%	0.05%	0.02%
21	0.08%	0.09%	0.08%	0.03%	0.05%	0.02%
20	0.09%	0.09%	0.09%	0.03%	0.05%	0.02%
19	0.09%	0.1%	0.09%	0.03%	0.04%	0.02%
18	0.1%	0.1%	0.09%	0.02%	0.03%	0.01%
17	0.09%	0.09%	0.09%	0.02%	0.03%	0.01%
16	0.09%	0.09%	0.09%	0.02%	0.02%	0.01%
15	0.08%	0.08%	0.08%	0.01%	0.02%	0.009%
14	0.07%	0.07%	0.07%	0.01%	0.01%	0.008%
13	0.06%	0.05%	0.06%	0.008%	0.009%	0.007%
12	0.05%	0.04%	0.05%	0.006%	0.007%	0.006%
11	0.04%	0.04%	0.04%	0.006%	0.006%	0.005%
10	0.04%	0.03%	0.04%	0.005%	0.006%	0.005%
9	0.04%	0.04%	0.04%	0.005%	0.005%	0.005%
8	0.05%	0.04%	0.05%	0.005%	0.006%	0.005%
7	0.06%	0.05%	0.06%	0.006%	0.007%	0.005%
6	0.07%	0.07%	0.07%	0.006%	0.007%	0.005%
5	0.08%	0.07%	0.08%	0.007%	0.008%	0.006%
4	0.07%	0.07%	0.08%	0.008%	0.009%	0.008%
3	0.06%	0.06%	0.07%	0.01%	0.01%	0.009%
2	0.07%	0.07%	0.07%	0.01%	0.01%	0.01%
1	0.18%	0.18%	0.17%	0.03%	0.03%	0.03%
0	1.53%	1.61%	1.44%	0.3%	0.33%	0.28%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.3% in France, 0.1% vs 0.05% at age 30, 1.12% vs 0.62% at 60, and 6.36% vs 2.98% at 80.

Death rate by age in Bangladesh vs France

Chart Table

Bangladesh

Male

Female

France

Male

Female

1x

Age	Death rate
	Bangladesh			France
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	1,257	525	1,886
99	504	274.2	753	1,717	974	2,377
98	698	414	1,006	2,181	1,328	2,953
97	924	588	1,288	2,664	1,736	3,520
96	1,175	796	1,587	3,136	2,174	4,044
95	1,440	1,030	1,887	3,566	2,621	4,479
94	1,718	1,287	2,186	3,929	3,061	4,791
93	1,995	1,557	2,471	4,211	3,459	4,980
92	2,264	1,828	2,735	4,402	3,775	5,063
91	2,514	2,095	2,969	4,504	4,005	5,047
90	2,738	2,353	3,155	4,516	4,153	4,926
89	2,932	2,596	3,297	4,437	4,218	4,704
88	3,093	2,815	3,394	4,280	4,202	4,403
87	3,217	3,003	3,447	4,053	4,094	4,051
86	3,301	3,148	3,465	3,770	3,898	3,672
85	3,347	3,247	3,451	3,472	3,678	3,289
84	3,355	3,299	3,412	3,165	3,431	2,920
83	3,331	3,310	3,348	2,866	3,163	2,588
82	3,279	3,289	3,261	2,588	2,905	2,295
81	3,205	3,246	3,153	2,350	2,683	2,040
80	3,114	3,189	3,027	2,139	2,485	1,810
79	3,015	3,128	2,889	1,947	2,305	1,605
78	2,903	3,054	2,742	1,776	2,134	1,429
77	2,781	2,966	2,589	1,623	1,970	1,286
76	2,649	2,862	2,434	1,490	1,827	1,166
75	2,510	2,740	2,281	1,380	1,714	1,059
74	2,374	2,605	2,137	1,279	1,607	966
73	2,238	2,458	1,998	1,192	1,511	888
72	2,099	2,301	1,868	1,118	1,428	820
71	1,961	2,138	1,748	1,051	1,357	757
70	1,826	1,974	1,638	987	1,291	696
69	1,697	1,817	1,540	929	1,226	642
68	1,574	1,674	1,445	876	1,162	599
67	1,463	1,551	1,351	833	1,109	566
66	1,364	1,452	1,255	799	1,068	538
65	1,278	1,382	1,154	766	1,028	510
64	1,206	1,339	1,052	728	981	481
63	1,143	1,310	953	693	941	453
62	1,085	1,285	861	660	897	428
61	1,028	1,253	781	621	840	407
60	968	1,203	714	578	775	385
59	906	1,138	659	535	715	359
58	841	1,059	615	494	660	332
57	778	975	577	457	609	310
56	718	892	545	422	558	288.2
55	664	814	516	385	506	264.8
54	615	743	490	350	459	241.9
53	570	679	464	320	419	222.2
52	526	618	437	294.5	381	207
51	482	560	406	270.3	347	192.8
50	437	503	371	247.3	318	176.5
49	391	448	334	226.8	292.2	160.7
48	347	396	296.7	206.5	265.7	146.5
47	307	349	263.5	186.6	240.5	132.9
46	272.6	308	235.8	167.7	217.6	118.8
45	244	272.8	214.7	151.3	197.7	106.4
44	221.8	243.8	200.3	137.9	180.5	96.7
43	204.5	219.6	190.2	124.4	163.5	86.7
42	190.1	199.2	181.9	110.4	146.7	75.6
41	177.1	181.7	173	99.4	133	67.3
40	164	166.5	161.7	91.2	122.4	61.4
39	149.7	153.1	146.8	84.8	114	56.8
38	135.6	141.5	130.4	78.9	106.5	52.1
37	123.1	132.1	115.1	73.3	100.1	47.3
36	112.9	124.8	102.4	68	93.9	42.5
35	105.6	119.7	93.2	62.8	87.4	38.4
34	101.3	116.7	87.9	58.2	81.6	35
33	99.2	115.2	85.6	54.5	76.7	32.2
32	98.3	114.1	85	51.1	72.7	29.6
31	97.4	112.5	84.9	48.4	69.4	27.3
30	95.3	109.1	84	46.5	66	26.6
29	90.9	103.1	81.1	44.6	62.9	25.8
28	85.2	95.6	76.8	42.2	60.6	23.1
27	79.3	88.1	72.3	40	58.7	20.5
26	74.5	81.9	68.5	38.7	57.2	19.5
25	71.7	78	66.4	37.6	55.1	19.1
24	71	76.7	66.2	35.8	52.2	18.4
23	73	78.2	68.4	34.2	49.8	17.8
22	76.9	81.7	72.4	33.8	48.9	17.9
21	81.9	86.3	77.8	33.5	48.4	17.9
20	87.2	90.9	83.5	31.9	46.1	16.9
19	91.1	93.9	88.3	28.3	40.3	15.8
18	92.8	94.5	91	23.8	32.9	14.3
17	91.4	92	90.8	19.3	25.7	12.5
16	86.6	86.2	87	15.4	19.8	10.8
15	78	77	79	12.3	15.2	9.3
14	66.5	65.4	67.8	9.88	11.7	7.95
13	54.3	53.3	55.5	7.79	8.9	6.62
12	44.1	43.2	45.1	6.35	7.08	5.59
11	37.7	36.8	38.7	5.77	6.36	5.15
10	34.4	33.5	35.3	5.44	5.91	4.94
9	36.2	35	37.5	5.1	5.45	4.72
8	44.9	42.8	47	5.25	5.85	4.61
7	56.8	53.6	60.1	5.76	6.67	4.8
6	67.8	63.8	72.1	6.23	7.05	5.38
5	74.1	69.7	78.7	7.01	7.61	6.38
4	71.7	67.9	75.7	8.43	9.18	7.63
3	61.4	58.9	63.9	9.67	10.8	8.53
2	70.1	68.9	71.4	11.2	12.4	9.83
1	172.9	175.4	170.2	28.8	31.5	26
0	1,530	1,613	1,443	303	329	276.7

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 90 in France. The median age of death is 79.7 in Bangladesh and 87.4 in France, 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 France more than their death rates.

Life expectancy in other countries

+ -

1x