Life Expectancy in Bangladesh vs Ivory Coast (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Ivory Coast

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Ivory Coast
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102	101.9	102
99	101.2	100.9	101.3	101	101	101.1
98	100.3	99.9	100.4	100.1	100.1	100.2
97	99.4	99.1	99.6	99.3	99.2	99.3
96	98.6	98.2	98.8	98.4	98.4	98.4
95	97.8	97.4	98	97.5	97.5	97.5
94	97	96.6	97.2	96.7	96.6	96.7
93	96.3	95.9	96.5	95.8	95.8	95.9
92	95.5	95.1	95.8	95	94.9	95
91	94.8	94.4	95.1	94.2	94.1	94.2
90	94.1	93.6	94.4	93.4	93.3	93.5
89	93.4	92.9	93.8	92.6	92.5	92.7
88	92.8	92.2	93.1	91.8	91.7	91.9
87	92.1	91.6	92.5	91.1	90.9	91.2
86	91.5	90.9	91.9	90.3	90.1	90.5
85	90.9	90.3	91.3	89.6	89.4	89.8
84	90.3	89.6	90.8	88.9	88.6	89.1
83	89.7	89	90.2	88.2	87.9	88.5
82	89.2	88.5	89.7	87.6	87.2	87.9
81	88.6	87.9	89.2	86.9	86.5	87.3
80	88.1	87.4	88.7	86.3	85.8	86.7
79	87.6	86.8	88.3	85.7	85.2	86.1
78	87.1	86.3	87.8	85.1	84.5	85.6
77	86.7	85.8	87.4	84.5	83.9	85
76	86.2	85.4	87	83.9	83.3	84.5
75	85.8	84.9	86.6	83.3	82.7	83.9
74	85.4	84.5	86.2	82.7	82.1	83.4
73	85	84	85.9	82.2	81.5	82.9
72	84.6	83.6	85.5	81.6	80.9	82.4
71	84.2	83.2	85.2	81.1	80.4	81.9
70	83.9	82.9	84.9	80.6	79.8	81.4
69	83.6	82.5	84.6	80.1	79.3	80.9
68	83.3	82.2	84.3	79.6	78.8	80.5
67	83	81.9	84	79.1	78.3	80
66	82.7	81.6	83.8	78.7	77.8	79.6
65	82.4	81.3	83.5	78.2	77.4	79.2
64	82.2	81.1	83.3	77.8	76.9	78.7
63	81.9	80.8	83.1	77.4	76.5	78.4
62	81.6	80.5	82.9	77	76	78
61	81.4	80.2	82.7	76.6	75.6	77.6
60	81.2	79.9	82.5	76.2	75.2	77.3
59	80.9	79.6	82.3	75.8	74.8	76.9
58	80.7	79.4	82.2	75.5	74.5	76.6
57	80.5	79.1	82	75.1	74.1	76.3
56	80.3	78.9	81.8	74.8	73.8	76
55	80.1	78.7	81.7	74.5	73.4	75.7
54	80	78.5	81.5	74.2	73.1	75.4
53	79.8	78.3	81.4	73.9	72.8	75.1
52	79.7	78.1	81.3	73.6	72.5	74.9
51	79.5	78	81.1	73.3	72.2	74.6
50	79.4	77.8	81	73	71.9	74.4
49	79.2	77.7	80.9	72.8	71.6	74.1
48	79.1	77.6	80.8	72.5	71.3	73.9
47	79	77.4	80.7	72.3	71.1	73.6
46	78.9	77.3	80.6	72	70.8	73.4
45	78.8	77.3	80.5	71.8	70.6	73.2
44	78.8	77.2	80.5	71.6	70.4	73
43	78.7	77.1	80.4	71.4	70.1	72.8
42	78.6	77	80.3	71.1	69.9	72.6
41	78.5	77	80.2	70.9	69.7	72.4
40	78.5	76.9	80.2	70.7	69.5	72.2
39	78.4	76.8	80.1	70.5	69.3	72
38	78.4	76.8	80.1	70.4	69.1	71.8
37	78.3	76.7	80	70.2	68.9	71.7
36	78.3	76.7	80	70	68.7	71.5
35	78.2	76.6	79.9	69.8	68.5	71.3
34	78.2	76.6	79.9	69.7	68.4	71.2
33	78.1	76.5	79.8	69.5	68.2	71
32	78.1	76.5	79.8	69.4	68	70.9
31	78	76.4	79.8	69.2	67.9	70.7
30	78	76.4	79.7	69.1	67.7	70.6
29	77.9	76.3	79.7	68.9	67.6	70.5
28	77.9	76.3	79.6	68.8	67.4	70.3
27	77.8	76.2	79.6	68.6	67.3	70.2
26	77.8	76.2	79.6	68.5	67.1	70.1
25	77.8	76.1	79.5	68.4	67	70
24	77.7	76.1	79.5	68.2	66.8	69.9
23	77.7	76	79.4	68.1	66.7	69.8
22	77.6	76	79.4	68	66.6	69.7
21	77.6	75.9	79.3	67.9	66.4	69.6
20	77.5	75.9	79.3	67.8	66.3	69.5
19	77.5	75.8	79.2	67.7	66.2	69.4
18	77.4	75.8	79.2	67.6	66.1	69.3
17	77.4	75.7	79.1	67.5	66	69.2
16	77.3	75.7	79.1	67.4	65.9	69.1
15	77.3	75.6	79	67.3	65.8	69.1
14	77.2	75.6	79	67.3	65.8	69
13	77.2	75.6	78.9	67.2	65.7	69
12	77.2	75.5	78.9	67.2	65.7	68.9
11	77.1	75.5	78.9	67.1	65.6	68.9
10	77.1	75.5	78.9	67.1	65.5	68.8
9	77.1	75.5	78.8	67	65.5	68.8
8	77.1	75.4	78.8	66.9	65.4	68.7
7	77	75.4	78.8	66.9	65.3	68.7
6	77	75.3	78.7	66.8	65.2	68.6
5	76.9	75.3	78.6	66.7	65.1	68.5
4	76.9	75.2	78.6	66.6	65	68.4
3	76.8	75.2	78.5	66.4	64.8	68.2
2	76.8	75.2	78.5	66.1	64.5	67.9
1	76.6	75	78.3	65.7	64	67.5
0	75.5	73.8	77.2	62.4	60.5	64.7

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 69.1 in Ivory Coast, rising to 82.4 and 78.2 at 65, and to 88.1 and 86.3 at 80 — higher than the 75.5 and 62.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Ivory Coast

Male

Female

1x

Age	Survival probability
	Bangladesh			Ivory Coast
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.15%	0.1%	0.21%
99	1.37%	0.63%	2.15%	0.23%	0.15%	0.33%
98	2.06%	1.05%	3.16%	0.36%	0.23%	0.51%
97	2.99%	1.63%	4.44%	0.54%	0.35%	0.77%
96	4.16%	2.43%	6.03%	0.79%	0.52%	1.13%
95	5.6%	3.46%	7.92%	1.13%	0.75%	1.61%
94	7.32%	4.75%	10.1%	1.58%	1.05%	2.23%
93	9.32%	6.3%	12.6%	2.15%	1.45%	3.02%
92	11.6%	8.13%	15.3%	2.86%	1.95%	3.98%
91	14.1%	10.2%	18.3%	3.72%	2.57%	5.14%
90	16.8%	12.6%	21.4%	4.76%	3.34%	6.51%
89	19.8%	15.2%	24.7%	5.96%	4.25%	8.06%
88	22.9%	18%	28.1%	7.34%	5.32%	9.82%
87	26.1%	21%	31.6%	8.89%	6.56%	11.8%
86	29.4%	24.1%	35%	10.6%	7.97%	13.8%
85	32.7%	27.4%	38.5%	12.5%	9.53%	16.1%
84	36.1%	30.7%	41.9%	14.5%	11.2%	18.4%
83	39.4%	34%	45.2%	16.6%	13.1%	20.8%
82	42.7%	37.3%	48.5%	18.7%	15.1%	23.2%
81	45.9%	40.5%	51.7%	20.9%	17.1%	25.6%
80	49%	43.7%	54.7%	23.2%	19.3%	28%
79	52%	46.8%	57.6%	25.5%	21.5%	30.4%
78	54.9%	49.9%	60.3%	27.9%	23.8%	32.8%
77	57.7%	52.9%	62.9%	30.3%	26.2%	35.3%
76	60.4%	55.7%	65.3%	32.7%	28.6%	37.7%
75	62.9%	58.5%	67.6%	35.1%	31%	40.1%
74	65.2%	61.1%	69.8%	37.5%	33.4%	42.5%
73	67.5%	63.5%	71.8%	39.9%	35.8%	44.8%
72	69.6%	65.8%	73.6%	42.3%	38.3%	47.1%
71	71.5%	68%	75.4%	44.6%	40.6%	49.3%
70	73.4%	69.9%	77%	46.9%	42.9%	51.5%
69	75.1%	71.8%	78.6%	49.1%	45.2%	53.6%
68	76.6%	73.4%	80%	51.2%	47.4%	55.6%
67	78.1%	75%	81.4%	53.3%	49.6%	57.6%
66	79.5%	76.4%	82.6%	55.4%	51.7%	59.6%
65	80.7%	77.8%	83.8%	57.3%	53.8%	61.4%
64	81.9%	79.2%	84.8%	59.2%	55.8%	63.2%
63	83.1%	80.5%	85.8%	61%	57.7%	64.9%
62	84.2%	81.8%	86.6%	62.8%	59.5%	66.5%
61	85.2%	83%	87.4%	64.4%	61.2%	68%
60	86.2%	84.2%	88.1%	65.9%	62.9%	69.4%
59	87.1%	85.4%	88.8%	67.4%	64.4%	70.7%
58	87.9%	86.4%	89.4%	68.8%	65.9%	72%
57	88.7%	87.4%	90%	70.1%	67.3%	73.2%
56	89.4%	88.3%	90.5%	71.3%	68.7%	74.3%
55	90.1%	89.1%	91%	72.5%	70%	75.4%
54	90.7%	89.8%	91.5%	73.7%	71.2%	76.4%
53	91.3%	90.5%	92%	74.8%	72.4%	77.4%
52	91.8%	91.1%	92.4%	75.8%	73.5%	78.3%
51	92.3%	91.7%	92.8%	76.8%	74.5%	79.2%
50	92.7%	92.2%	93.2%	77.7%	75.6%	80%
49	93.1%	92.6%	93.5%	78.6%	76.5%	80.8%
48	93.4%	93%	93.8%	79.5%	77.4%	81.6%
47	93.8%	93.4%	94.1%	80.2%	78.3%	82.3%
46	94%	93.7%	94.3%	81%	79.1%	83%
45	94.3%	94%	94.5%	81.7%	79.9%	83.6%
44	94.5%	94.2%	94.7%	82.4%	80.6%	84.2%
43	94.7%	94.4%	94.9%	83%	81.3%	84.8%
42	94.9%	94.6%	95.1%	83.6%	81.9%	85.4%
41	95.1%	94.8%	95.3%	84.2%	82.6%	85.9%
40	95.2%	95%	95.5%	84.8%	83.2%	86.4%
39	95.4%	95.1%	95.6%	85.3%	83.7%	86.9%
38	95.5%	95.3%	95.7%	85.8%	84.3%	87.4%
37	95.6%	95.4%	95.8%	86.3%	84.8%	87.8%
36	95.7%	95.5%	95.9%	86.7%	85.3%	88.3%
35	95.9%	95.6%	96%	87.2%	85.7%	88.7%
34	96%	95.8%	96.1%	87.6%	86.2%	89%
33	96.1%	95.9%	96.2%	88%	86.6%	89.4%
32	96.2%	96%	96.3%	88.3%	87%	89.7%
31	96.3%	96.1%	96.4%	88.7%	87.3%	90.1%
30	96.3%	96.2%	96.5%	89%	87.7%	90.4%
29	96.4%	96.3%	96.5%	89.3%	88.1%	90.7%
28	96.5%	96.4%	96.6%	89.6%	88.4%	90.9%
27	96.6%	96.5%	96.7%	89.9%	88.7%	91.2%
26	96.7%	96.6%	96.8%	90.2%	89%	91.5%
25	96.7%	96.7%	96.8%	90.5%	89.3%	91.7%
24	96.8%	96.7%	96.9%	90.8%	89.6%	91.9%
23	96.9%	96.8%	97%	91%	89.9%	92.1%
22	97%	96.9%	97%	91.3%	90.2%	92.3%
21	97%	97%	97.1%	91.5%	90.5%	92.5%
20	97.1%	97.1%	97.2%	91.7%	90.7%	92.7%
19	97.2%	97.2%	97.3%	91.9%	90.9%	92.9%
18	97.3%	97.3%	97.4%	92.1%	91.1%	93%
17	97.4%	97.4%	97.5%	92.2%	91.3%	93.2%
16	97.5%	97.4%	97.6%	92.4%	91.5%	93.3%
15	97.6%	97.5%	97.6%	92.5%	91.6%	93.4%
14	97.6%	97.6%	97.7%	92.6%	91.7%	93.5%
13	97.7%	97.6%	97.8%	92.7%	91.8%	93.6%
12	97.7%	97.7%	97.8%	92.8%	91.9%	93.7%
11	97.8%	97.7%	97.8%	92.9%	92%	93.8%
10	97.8%	97.8%	97.9%	93%	92.1%	93.8%
9	97.9%	97.8%	97.9%	93.1%	92.2%	93.9%
8	97.9%	97.8%	98%	93.2%	92.3%	94%
7	98%	97.9%	98%	93.3%	92.5%	94.1%
6	98%	97.9%	98.1%	93.4%	92.6%	94.2%
5	98.1%	98%	98.2%	93.6%	92.8%	94.4%
4	98.2%	98.1%	98.3%	93.8%	93%	94.5%
3	98.2%	98.1%	98.3%	94%	93.3%	94.8%
2	98.3%	98.2%	98.4%	94.4%	93.7%	95.1%
1	98.5%	98.4%	98.6%	95.1%	94.4%	95.7%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 65.9% in Ivory Coast are expected to live past 60, 73.4% and 46.9% past 70, 49% and 23.2% past 80, and only 16.8% and 4.76% 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

Ivory Coast

Male

Female

1x

Age	Probability of dying
	Bangladesh			Ivory Coast
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	38.7%	38.1%	39.1%
99	36.9%	43.4%	35%	37.1%	36.7%	37.4%
98	33.8%	39.5%	31.9%	35.1%	34.9%	35.3%
97	30.9%	36%	29%	33.5%	33.6%	33.5%
96	28.2%	32.7%	26.3%	31.9%	32.1%	31.7%
95	25.7%	29.8%	23.8%	30.1%	30.6%	29.9%
94	23.5%	27.1%	21.6%	28.3%	29%	27.9%
93	21.4%	24.7%	19.6%	26.6%	27.4%	26%
92	19.5%	22.5%	17.9%	24.9%	25.8%	24.3%
91	17.8%	20.5%	16.2%	23.1%	24.2%	22.5%
90	16.3%	18.7%	14.7%	21.8%	23%	21%
89	14.8%	17.1%	13.3%	20.2%	21.4%	19.3%
88	13.5%	15.6%	12.1%	18.8%	20.1%	17.9%
87	12.3%	14.3%	10.9%	17.4%	18.8%	16.5%
86	11.2%	13%	9.89%	16.2%	17.6%	15.1%
85	10.2%	11.9%	8.97%	14.9%	16.4%	13.8%
84	9.3%	10.8%	8.14%	13.8%	15.3%	12.6%
83	8.45%	9.74%	7.4%	12.6%	14.1%	11.5%
82	7.68%	8.82%	6.72%	11.6%	13.1%	10.4%
81	6.98%	8.01%	6.1%	10.5%	12%	9.35%
80	6.36%	7.29%	5.53%	9.79%	11.2%	8.59%
79	5.8%	6.68%	5.02%	9.07%	10.4%	7.93%
78	5.29%	6.12%	4.54%	8.5%	9.69%	7.41%
77	4.82%	5.61%	4.11%	7.89%	8.97%	6.87%
76	4.39%	5.14%	3.73%	7.39%	8.38%	6.43%
75	3.99%	4.69%	3.37%	6.91%	7.82%	6.01%
74	3.64%	4.27%	3.06%	6.44%	7.28%	5.59%
73	3.32%	3.87%	2.78%	5.99%	6.77%	5.21%
72	3.02%	3.49%	2.54%	5.6%	6.3%	4.87%
71	2.74%	3.15%	2.32%	5.16%	5.8%	4.49%
70	2.49%	2.82%	2.13%	4.86%	5.46%	4.25%
69	2.26%	2.53%	1.96%	4.48%	5.02%	3.92%
68	2.05%	2.28%	1.81%	4.2%	4.69%	3.68%
67	1.87%	2.07%	1.66%	3.91%	4.37%	3.44%
66	1.72%	1.9%	1.52%	3.66%	4.08%	3.23%
65	1.58%	1.78%	1.38%	3.46%	3.84%	3.06%
64	1.47%	1.69%	1.24%	3.19%	3.56%	2.81%
63	1.38%	1.63%	1.11%	2.95%	3.3%	2.59%
62	1.29%	1.57%	0.99%	2.74%	3.06%	2.39%
61	1.21%	1.51%	0.89%	2.51%	2.81%	2.19%
60	1.12%	1.43%	0.81%	2.35%	2.64%	2.04%
59	1.04%	1.33%	0.74%	2.16%	2.42%	1.87%
58	0.96%	1.23%	0.69%	2.01%	2.25%	1.75%
57	0.88%	1.12%	0.64%	1.87%	2.09%	1.62%
56	0.8%	1.01%	0.6%	1.76%	1.96%	1.52%
55	0.74%	0.91%	0.57%	1.65%	1.84%	1.43%
54	0.68%	0.83%	0.54%	1.55%	1.73%	1.35%
53	0.62%	0.75%	0.5%	1.46%	1.62%	1.27%
52	0.57%	0.68%	0.47%	1.38%	1.53%	1.2%
51	0.52%	0.61%	0.44%	1.28%	1.42%	1.12%
50	0.47%	0.55%	0.4%	1.21%	1.35%	1.06%
49	0.42%	0.48%	0.36%	1.13%	1.25%	0.99%
48	0.37%	0.43%	0.32%	1.05%	1.17%	0.93%
47	0.33%	0.37%	0.28%	0.98%	1.09%	0.87%
46	0.29%	0.33%	0.25%	0.92%	1.02%	0.82%
45	0.26%	0.29%	0.23%	0.87%	0.96%	0.77%
44	0.23%	0.26%	0.21%	0.82%	0.9%	0.73%
43	0.22%	0.23%	0.2%	0.77%	0.85%	0.69%
42	0.2%	0.21%	0.19%	0.73%	0.81%	0.66%
41	0.19%	0.19%	0.18%	0.69%	0.75%	0.62%
40	0.17%	0.18%	0.17%	0.66%	0.72%	0.6%
39	0.16%	0.16%	0.15%	0.62%	0.68%	0.56%
38	0.14%	0.15%	0.14%	0.59%	0.64%	0.53%
37	0.13%	0.14%	0.12%	0.55%	0.6%	0.5%
36	0.12%	0.13%	0.11%	0.52%	0.57%	0.48%
35	0.11%	0.13%	0.1%	0.49%	0.54%	0.45%
34	0.11%	0.12%	0.09%	0.47%	0.51%	0.42%
33	0.1%	0.12%	0.09%	0.44%	0.48%	0.4%
32	0.1%	0.12%	0.09%	0.42%	0.46%	0.38%
31	0.1%	0.12%	0.09%	0.39%	0.43%	0.36%
30	0.1%	0.11%	0.09%	0.38%	0.42%	0.34%
29	0.09%	0.11%	0.08%	0.36%	0.4%	0.32%
28	0.09%	0.1%	0.08%	0.34%	0.38%	0.31%
27	0.08%	0.09%	0.07%	0.33%	0.37%	0.29%
26	0.08%	0.08%	0.07%	0.32%	0.35%	0.28%
25	0.07%	0.08%	0.07%	0.3%	0.34%	0.26%
24	0.07%	0.08%	0.07%	0.29%	0.33%	0.25%
23	0.08%	0.08%	0.07%	0.28%	0.32%	0.23%
22	0.08%	0.08%	0.07%	0.26%	0.3%	0.22%
21	0.08%	0.09%	0.08%	0.25%	0.29%	0.2%
20	0.09%	0.09%	0.09%	0.23%	0.27%	0.19%
19	0.09%	0.1%	0.09%	0.21%	0.25%	0.18%
18	0.1%	0.1%	0.09%	0.2%	0.23%	0.17%
17	0.09%	0.09%	0.09%	0.17%	0.2%	0.15%
16	0.09%	0.09%	0.09%	0.15%	0.17%	0.13%
15	0.08%	0.08%	0.08%	0.13%	0.15%	0.12%
14	0.07%	0.07%	0.07%	0.12%	0.13%	0.1%
13	0.06%	0.05%	0.06%	0.1%	0.12%	0.09%
12	0.05%	0.04%	0.05%	0.1%	0.11%	0.09%
11	0.04%	0.04%	0.04%	0.09%	0.11%	0.08%
10	0.04%	0.03%	0.04%	0.1%	0.11%	0.08%
9	0.04%	0.04%	0.04%	0.1%	0.11%	0.09%
8	0.05%	0.04%	0.05%	0.11%	0.12%	0.1%
7	0.06%	0.05%	0.06%	0.12%	0.14%	0.11%
6	0.07%	0.07%	0.07%	0.14%	0.15%	0.12%
5	0.08%	0.07%	0.08%	0.16%	0.18%	0.15%
4	0.07%	0.07%	0.08%	0.21%	0.24%	0.19%
3	0.06%	0.06%	0.07%	0.29%	0.33%	0.26%
2	0.07%	0.07%	0.07%	0.42%	0.47%	0.38%
1	0.18%	0.18%	0.17%	0.67%	0.73%	0.61%
0	1.53%	1.61%	1.44%	4.93%	5.58%	4.27%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 4.93% in Ivory Coast, 0.1% vs 0.38% at age 30, 1.12% vs 2.35% at 60, and 6.36% vs 9.79% at 80.

Death rate by age in Bangladesh vs Ivory Coast

Chart Table

Bangladesh

Male

Female

Ivory Coast

Male

Female

1x

Age	Death rate
	Bangladesh			Ivory Coast
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	6.29	1.2	13.3
99	504	274.2	753	86.1	55.8	123.9
98	698	414	1,006	125.7	81.6	180.8
97	924	588	1,288	180.5	118	258.5
96	1,175	796	1,587	251.8	166.3	358
95	1,440	1,030	1,887	341	228.1	480
94	1,718	1,287	2,186	447	304	622
93	1,995	1,557	2,471	571	396	785
92	2,264	1,828	2,735	712	504	967
91	2,514	2,095	2,969	862	623	1,154
90	2,738	2,353	3,155	1,037	767	1,367
89	2,932	2,596	3,297	1,204	912	1,560
88	3,093	2,815	3,394	1,381	1,073	1,755
87	3,217	3,003	3,447	1,552	1,237	1,934
86	3,301	3,148	3,465	1,717	1,404	2,096
85	3,347	3,247	3,451	1,860	1,562	2,221
84	3,355	3,299	3,412	1,993	1,720	2,324
83	3,331	3,310	3,348	2,092	1,850	2,383
82	3,279	3,289	3,261	2,173	1,973	2,414
81	3,205	3,246	3,153	2,208	2,054	2,392
80	3,114	3,189	3,027	2,273	2,160	2,403
79	3,015	3,128	2,889	2,315	2,227	2,412
78	2,903	3,054	2,742	2,372	2,307	2,434
77	2,781	2,966	2,589	2,391	2,348	2,423
76	2,649	2,862	2,434	2,417	2,394	2,422
75	2,510	2,740	2,281	2,427	2,424	2,408
74	2,374	2,605	2,137	2,417	2,431	2,375
73	2,238	2,458	1,998	2,395	2,425	2,334
72	2,099	2,301	1,868	2,368	2,411	2,293
71	1,961	2,138	1,748	2,301	2,353	2,216
70	1,826	1,974	1,638	2,281	2,343	2,188
69	1,697	1,817	1,540	2,202	2,271	2,103
68	1,574	1,674	1,445	2,150	2,226	2,049
67	1,463	1,551	1,351	2,088	2,168	1,985
66	1,364	1,452	1,255	2,028	2,110	1,926
65	1,278	1,382	1,154	1,984	2,067	1,882
64	1,206	1,339	1,052	1,891	1,985	1,776
63	1,143	1,310	953	1,802	1,903	1,679
62	1,085	1,285	861	1,717	1,823	1,588
61	1,028	1,253	781	1,615	1,720	1,485
60	968	1,203	714	1,552	1,659	1,418
59	906	1,138	659	1,455	1,557	1,325
58	841	1,059	615	1,384	1,482	1,257
57	778	975	577	1,312	1,406	1,187
56	718	892	545	1,254	1,346	1,132
55	664	814	516	1,198	1,287	1,077
54	615	743	490	1,145	1,231	1,028
53	570	679	464	1,092	1,175	979
52	526	618	437	1,045	1,124	938
51	482	560	406	984	1,059	883
50	437	503	371	944	1,018	849
49	391	448	334	885	954	798
48	347	396	296.7	837	903	756
47	307	349	263.5	789	852	714
46	272.6	308	235.8	747	807	678
45	244	272.8	214.7	713	770	648
44	221.8	243.8	200.3	674	727	615
43	204.5	219.6	190.2	641	691	588
42	190.1	199.2	181.9	613	661	564
41	177.1	181.7	173	579	623	535
40	164	166.5	161.7	557	600	515
39	149.7	153.1	146.8	527	566	488
38	135.6	141.5	130.4	502	539	466
37	123.1	132.1	115.1	476	511	441
36	112.9	124.8	102.4	453	486	420
35	105.6	119.7	93.2	431	463	400
34	101.3	116.7	87.9	407	439	377
33	99.2	115.2	85.6	387	417	358
32	98.3	114.1	85	369	398	341
31	97.4	112.5	84.9	350	378	321
30	95.3	109.1	84	338	365	310
29	90.9	103.1	81.1	322	349	294.3
28	85.2	95.6	76.8	309	336	279.3
27	79.3	88.1	72.3	296.9	324	266
26	74.5	81.9	68.5	284.8	313	252.1
25	71.7	78	66.4	273.5	304	238.2
24	71	76.7	66.2	262.5	295	225.6
23	73	78.2	68.4	251.3	285.2	213.2
22	76.9	81.7	72.4	239.2	273.7	201.1
21	81.9	86.3	77.8	225.6	259.5	188.8
20	87.2	90.9	83.5	212.6	243.3	179.5
19	91.1	93.9	88.3	197	224.9	166.9
18	92.8	94.5	91	180.6	205.1	154.1
17	91.4	92	90.8	160.1	179.5	139.2
16	86.6	86.2	87	140.8	155.3	125.2
15	78	77	79	123	133.8	111.4
14	66.5	65.4	67.8	108	117.5	97.8
13	54.3	53.3	55.5	97.2	105.8	88
12	44.1	43.2	45.1	90.5	99.3	81.4
11	37.7	36.8	38.7	87.8	96.7	78.6
10	34.4	33.5	35.3	88.7	97.6	79.6
9	36.2	35	37.5	92.8	102.4	82.9
8	44.9	42.8	47	100.6	111.5	89.4
7	56.8	53.6	60.1	112.8	125.1	100.2
6	67.8	63.8	72.1	129.1	142.8	114.9
5	74.1	69.7	78.7	153.7	169.1	137.7
4	71.7	67.9	75.7	200.3	220.7	179.3
3	61.4	58.9	63.9	275.7	304	246.4
2	70.1	68.9	71.4	398	437	359
1	172.9	175.4	170.2	640	693	585
0	1,530	1,613	1,443	4,932	5,583	4,273

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 Ivory Coast. The median age of death is 79.7 in Bangladesh and 68.6 in Ivory Coast, 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 Ivory Coast more than their death rates.

Life expectancy in other countries

+ -

1x