Life Expectancy in Bangladesh vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Kenya
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.2	102	102.2
99	101.2	100.9	101.3	101.3	101.1	101.4
98	100.3	99.9	100.4	100.4	100.2	100.5
97	99.4	99.1	99.6	99.5	99.4	99.6
96	98.6	98.2	98.8	98.7	98.5	98.8
95	97.8	97.4	98	97.8	97.6	97.9
94	97	96.6	97.2	97	96.8	97.1
93	96.3	95.9	96.5	96.2	95.9	96.3
92	95.5	95.1	95.8	95.4	95.1	95.5
91	94.8	94.4	95.1	94.6	94.3	94.7
90	94.1	93.6	94.4	93.8	93.5	94
89	93.4	92.9	93.8	93	92.7	93.2
88	92.8	92.2	93.1	92.3	91.9	92.5
87	92.1	91.6	92.5	91.6	91.1	91.8
86	91.5	90.9	91.9	90.8	90.4	91.1
85	90.9	90.3	91.3	90.1	89.7	90.4
84	90.3	89.6	90.8	89.5	89	89.7
83	89.7	89	90.2	88.8	88.3	89.1
82	89.2	88.5	89.7	88.2	87.6	88.5
81	88.6	87.9	89.2	87.6	87	87.9
80	88.1	87.4	88.7	87	86.3	87.4
79	87.6	86.8	88.3	86.4	85.7	86.8
78	87.1	86.3	87.8	85.8	85.1	86.3
77	86.7	85.8	87.4	85.2	84.5	85.7
76	86.2	85.4	87	84.6	83.9	85.2
75	85.8	84.9	86.6	84.1	83.3	84.7
74	85.4	84.5	86.2	83.6	82.8	84.2
73	85	84	85.9	83	82.2	83.7
72	84.6	83.6	85.5	82.5	81.6	83.2
71	84.2	83.2	85.2	82	81.1	82.7
70	83.9	82.9	84.9	81.5	80.5	82.2
69	83.6	82.5	84.6	81	80	81.8
68	83.3	82.2	84.3	80.5	79.5	81.3
67	83	81.9	84	80	79	80.9
66	82.7	81.6	83.8	79.5	78.5	80.5
65	82.4	81.3	83.5	79.1	78	80
64	82.2	81.1	83.3	78.6	77.5	79.6
63	81.9	80.8	83.1	78.2	77	79.2
62	81.6	80.5	82.9	77.8	76.5	78.9
61	81.4	80.2	82.7	77.4	76.1	78.5
60	81.2	79.9	82.5	77	75.6	78.2
59	80.9	79.6	82.3	76.6	75.2	77.8
58	80.7	79.4	82.2	76.2	74.8	77.5
57	80.5	79.1	82	75.8	74.4	77.2
56	80.3	78.9	81.8	75.5	74	76.9
55	80.1	78.7	81.7	75.1	73.7	76.6
54	80	78.5	81.5	74.8	73.3	76.3
53	79.8	78.3	81.4	74.5	72.9	76
52	79.7	78.1	81.3	74.1	72.6	75.7
51	79.5	78	81.1	73.8	72.2	75.4
50	79.4	77.8	81	73.5	71.9	75.1
49	79.2	77.7	80.9	73.2	71.6	74.9
48	79.1	77.6	80.8	72.9	71.2	74.6
47	79	77.4	80.7	72.6	70.9	74.4
46	78.9	77.3	80.6	72.4	70.6	74.1
45	78.8	77.3	80.5	72.1	70.3	73.9
44	78.8	77.2	80.5	71.8	70.1	73.6
43	78.7	77.1	80.4	71.6	69.8	73.4
42	78.6	77	80.3	71.3	69.5	73.2
41	78.5	77	80.2	71.1	69.2	73
40	78.5	76.9	80.2	70.8	69	72.8
39	78.4	76.8	80.1	70.6	68.7	72.5
38	78.4	76.8	80.1	70.4	68.5	72.3
37	78.3	76.7	80	70.2	68.3	72.1
36	78.3	76.7	80	70	68.1	71.9
35	78.2	76.6	79.9	69.8	67.8	71.8
34	78.2	76.6	79.9	69.6	67.6	71.6
33	78.1	76.5	79.8	69.4	67.5	71.4
32	78.1	76.5	79.8	69.2	67.3	71.2
31	78	76.4	79.8	69.1	67.1	71.1
30	78	76.4	79.7	68.9	66.9	70.9
29	77.9	76.3	79.7	68.7	66.7	70.8
28	77.9	76.3	79.6	68.6	66.6	70.6
27	77.8	76.2	79.6	68.4	66.4	70.5
26	77.8	76.2	79.6	68.3	66.3	70.4
25	77.8	76.1	79.5	68.2	66.1	70.3
24	77.7	76.1	79.5	68	66	70.1
23	77.7	76	79.4	67.9	65.9	70
22	77.6	76	79.4	67.8	65.8	69.9
21	77.6	75.9	79.3	67.7	65.6	69.8
20	77.5	75.9	79.3	67.6	65.5	69.8
19	77.5	75.8	79.2	67.5	65.4	69.7
18	77.4	75.8	79.2	67.4	65.3	69.6
17	77.4	75.7	79.1	67.4	65.3	69.5
16	77.3	75.7	79.1	67.3	65.2	69.5
15	77.3	75.6	79	67.2	65.1	69.4
14	77.2	75.6	79	67.2	65.1	69.4
13	77.2	75.6	78.9	67.1	65	69.3
12	77.2	75.5	78.9	67.1	65	69.3
11	77.1	75.5	78.9	67.1	65	69.3
10	77.1	75.5	78.9	67	64.9	69.2
9	77.1	75.5	78.8	67	64.9	69.2
8	77.1	75.4	78.8	66.9	64.8	69.1
7	77	75.4	78.8	66.9	64.8	69.1
6	77	75.3	78.7	66.8	64.7	69
5	76.9	75.3	78.6	66.8	64.7	69
4	76.9	75.2	78.6	66.7	64.6	68.9
3	76.8	75.2	78.5	66.5	64.4	68.7
2	76.8	75.2	78.5	66.3	64.3	68.5
1	76.6	75	78.3	66	64	68.2
0	75.5	73.8	77.2	64.2	62	66.5

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 68.9 in Kenya, rising to 82.4 and 79.1 at 65, and to 88.1 and 87 at 80 — higher than the 75.5 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Bangladesh			Kenya
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.32%	0.15%	0.49%
99	1.37%	0.63%	2.15%	0.48%	0.24%	0.72%
98	2.06%	1.05%	3.16%	0.69%	0.36%	1.03%
97	2.99%	1.63%	4.44%	0.99%	0.53%	1.45%
96	4.16%	2.43%	6.03%	1.38%	0.76%	2%
95	5.6%	3.46%	7.92%	1.89%	1.07%	2.69%
94	7.32%	4.75%	10.1%	2.52%	1.48%	3.54%
93	9.32%	6.3%	12.6%	3.29%	1.99%	4.57%
92	11.6%	8.13%	15.3%	4.21%	2.63%	5.77%
91	14.1%	10.2%	18.3%	5.28%	3.39%	7.15%
90	16.8%	12.6%	21.4%	6.54%	4.31%	8.75%
89	19.8%	15.2%	24.7%	7.94%	5.38%	10.5%
88	22.9%	18%	28.1%	9.51%	6.6%	12.4%
87	26.1%	21%	31.6%	11.2%	7.98%	14.5%
86	29.4%	24.1%	35%	13.1%	9.5%	16.7%
85	32.7%	27.4%	38.5%	15%	11.2%	19.1%
84	36.1%	30.7%	41.9%	17.1%	12.9%	21.5%
83	39.4%	34%	45.2%	19.2%	14.8%	23.9%
82	42.7%	37.3%	48.5%	21.4%	16.7%	26.3%
81	45.9%	40.5%	51.7%	23.5%	18.7%	28.6%
80	49%	43.7%	54.7%	25.7%	20.7%	31%
79	52%	46.8%	57.6%	27.9%	22.8%	33.3%
78	54.9%	49.9%	60.3%	30.1%	24.9%	35.7%
77	57.7%	52.9%	62.9%	32.4%	27.1%	38%
76	60.4%	55.7%	65.3%	34.6%	29.2%	40.3%
75	62.9%	58.5%	67.6%	36.9%	31.4%	42.6%
74	65.2%	61.1%	69.8%	39.1%	33.6%	44.8%
73	67.5%	63.5%	71.8%	41.3%	35.8%	47%
72	69.6%	65.8%	73.6%	43.4%	37.9%	49.2%
71	71.5%	68%	75.4%	45.5%	40.1%	51.3%
70	73.4%	69.9%	77%	47.6%	42.2%	53.3%
69	75.1%	71.8%	78.6%	49.7%	44.4%	55.3%
68	76.6%	73.4%	80%	51.7%	46.5%	57.2%
67	78.1%	75%	81.4%	53.7%	48.5%	59.1%
66	79.5%	76.4%	82.6%	55.6%	50.6%	60.9%
65	80.7%	77.8%	83.8%	57.5%	52.7%	62.7%
64	81.9%	79.2%	84.8%	59.4%	54.7%	64.4%
63	83.1%	80.5%	85.8%	61.1%	56.6%	66%
62	84.2%	81.8%	86.6%	62.8%	58.5%	67.5%
61	85.2%	83%	87.4%	64.5%	60.3%	68.9%
60	86.2%	84.2%	88.1%	66%	62%	70.3%
59	87.1%	85.4%	88.8%	67.5%	63.7%	71.6%
58	87.9%	86.4%	89.4%	68.9%	65.2%	72.8%
57	88.7%	87.4%	90%	70.3%	66.8%	74%
56	89.4%	88.3%	90.5%	71.6%	68.2%	75.1%
55	90.1%	89.1%	91%	72.8%	69.7%	76.2%
54	90.7%	89.8%	91.5%	74.1%	71%	77.2%
53	91.3%	90.5%	92%	75.2%	72.4%	78.2%
52	91.8%	91.1%	92.4%	76.4%	73.6%	79.2%
51	92.3%	91.7%	92.8%	77.4%	74.9%	80.1%
50	92.7%	92.2%	93.2%	78.5%	76.1%	81%
49	93.1%	92.6%	93.5%	79.5%	77.2%	81.9%
48	93.4%	93%	93.8%	80.4%	78.3%	82.7%
47	93.8%	93.4%	94.1%	81.4%	79.3%	83.5%
46	94%	93.7%	94.3%	82.2%	80.3%	84.2%
45	94.3%	94%	94.5%	83.1%	81.2%	84.9%
44	94.5%	94.2%	94.7%	83.9%	82.1%	85.6%
43	94.7%	94.4%	94.9%	84.6%	83%	86.2%
42	94.9%	94.6%	95.1%	85.3%	83.8%	86.9%
41	95.1%	94.8%	95.3%	86%	84.6%	87.5%
40	95.2%	95%	95.5%	86.7%	85.4%	88.1%
39	95.4%	95.1%	95.6%	87.4%	86.1%	88.6%
38	95.5%	95.3%	95.7%	88%	86.8%	89.1%
37	95.6%	95.4%	95.8%	88.5%	87.4%	89.7%
36	95.7%	95.5%	95.9%	89.1%	88%	90.1%
35	95.9%	95.6%	96%	89.6%	88.6%	90.6%
34	96%	95.8%	96.1%	90.1%	89.2%	91%
33	96.1%	95.9%	96.2%	90.6%	89.7%	91.5%
32	96.2%	96%	96.3%	91%	90.1%	91.9%
31	96.3%	96.1%	96.4%	91.4%	90.6%	92.2%
30	96.3%	96.2%	96.5%	91.8%	91%	92.6%
29	96.4%	96.3%	96.5%	92.2%	91.4%	92.9%
28	96.5%	96.4%	96.6%	92.5%	91.8%	93.2%
27	96.6%	96.5%	96.7%	92.8%	92.2%	93.5%
26	96.7%	96.6%	96.8%	93.1%	92.5%	93.8%
25	96.7%	96.7%	96.8%	93.4%	92.8%	94%
24	96.8%	96.7%	96.9%	93.7%	93.1%	94.3%
23	96.9%	96.8%	97%	94%	93.4%	94.5%
22	97%	96.9%	97%	94.2%	93.7%	94.7%
21	97%	97%	97.1%	94.4%	93.9%	94.9%
20	97.1%	97.1%	97.2%	94.6%	94.2%	95%
19	97.2%	97.2%	97.3%	94.8%	94.4%	95.2%
18	97.3%	97.3%	97.4%	94.9%	94.6%	95.3%
17	97.4%	97.4%	97.5%	95.1%	94.7%	95.5%
16	97.5%	97.4%	97.6%	95.2%	94.8%	95.6%
15	97.6%	97.5%	97.6%	95.3%	95%	95.7%
14	97.6%	97.6%	97.7%	95.4%	95%	95.7%
13	97.7%	97.6%	97.8%	95.5%	95.1%	95.8%
12	97.7%	97.7%	97.8%	95.5%	95.2%	95.9%
11	97.8%	97.7%	97.8%	95.6%	95.3%	95.9%
10	97.8%	97.8%	97.9%	95.7%	95.3%	96%
9	97.9%	97.8%	97.9%	95.7%	95.4%	96.1%
8	97.9%	97.8%	98%	95.8%	95.5%	96.1%
7	98%	97.9%	98%	95.9%	95.6%	96.2%
6	98%	97.9%	98.1%	96%	95.7%	96.3%
5	98.1%	98%	98.2%	96.1%	95.8%	96.4%
4	98.2%	98.1%	98.3%	96.2%	95.9%	96.5%
3	98.2%	98.1%	98.3%	96.4%	96.1%	96.7%
2	98.3%	98.2%	98.4%	96.7%	96.4%	97%
1	98.5%	98.4%	98.6%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 66% in Kenya are expected to live past 60, 73.4% and 47.6% past 70, 49% and 25.7% past 80, and only 16.8% and 6.54% 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

Kenya

Male

Female

1x

Age	Probability of dying
	Bangladesh			Kenya
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	34.7%	36.8%	33.8%
99	36.9%	43.4%	35%	33.2%	35.4%	32.3%
98	33.8%	39.5%	31.9%	31.3%	33.6%	30.4%
97	30.9%	36%	29%	29.9%	32.1%	28.9%
96	28.2%	32.7%	26.3%	28.3%	30.6%	27.4%
95	25.7%	29.8%	23.8%	26.7%	29.1%	25.8%
94	23.5%	27.1%	21.6%	25.1%	27.5%	24%
93	21.4%	24.7%	19.6%	23.4%	25.8%	22.4%
92	19.5%	22.5%	17.9%	21.9%	24.3%	20.9%
91	17.8%	20.5%	16.2%	20.3%	22.6%	19.3%
90	16.3%	18.7%	14.7%	19.2%	21.3%	18.3%
89	14.8%	17.1%	13.3%	17.7%	19.8%	16.7%
88	13.5%	15.6%	12.1%	16.5%	18.5%	15.5%
87	12.3%	14.3%	10.9%	15.3%	17.2%	14.3%
86	11.2%	13%	9.89%	14.2%	16%	13.3%
85	10.2%	11.9%	8.97%	13%	14.8%	12.2%
84	9.3%	10.8%	8.14%	12%	13.7%	11.1%
83	8.45%	9.74%	7.4%	11%	12.6%	10.1%
82	7.68%	8.82%	6.72%	10.1%	11.6%	9.19%
81	6.98%	8.01%	6.1%	9.13%	10.5%	8.19%
80	6.36%	7.29%	5.53%	8.53%	9.8%	7.62%
79	5.8%	6.68%	5.02%	7.9%	9.07%	7.01%
78	5.29%	6.12%	4.54%	7.44%	8.49%	6.6%
77	4.82%	5.61%	4.11%	6.92%	7.88%	6.11%
76	4.39%	5.14%	3.73%	6.48%	7.39%	5.74%
75	3.99%	4.69%	3.37%	6.05%	6.94%	5.37%
74	3.64%	4.27%	3.06%	5.66%	6.5%	5.01%
73	3.32%	3.87%	2.78%	5.3%	6.1%	4.68%
72	3.02%	3.49%	2.54%	4.99%	5.75%	4.38%
71	2.74%	3.15%	2.32%	4.64%	5.36%	4.06%
70	2.49%	2.82%	2.13%	4.41%	5.1%	3.84%
69	2.26%	2.53%	1.96%	4.11%	4.77%	3.57%
68	2.05%	2.28%	1.81%	3.89%	4.52%	3.36%
67	1.87%	2.07%	1.66%	3.68%	4.29%	3.16%
66	1.72%	1.9%	1.52%	3.5%	4.08%	2.98%
65	1.58%	1.78%	1.38%	3.34%	3.91%	2.83%
64	1.47%	1.69%	1.24%	3.11%	3.65%	2.61%
63	1.38%	1.63%	1.11%	2.9%	3.42%	2.42%
62	1.29%	1.57%	0.99%	2.7%	3.2%	2.25%
61	1.21%	1.51%	0.89%	2.51%	2.97%	2.08%
60	1.12%	1.43%	0.81%	2.36%	2.81%	1.94%
59	1.04%	1.33%	0.74%	2.19%	2.59%	1.81%
58	0.96%	1.23%	0.69%	2.05%	2.43%	1.7%
57	0.88%	1.12%	0.64%	1.93%	2.28%	1.59%
56	0.8%	1.01%	0.6%	1.83%	2.15%	1.51%
55	0.74%	0.91%	0.57%	1.73%	2.05%	1.42%
54	0.68%	0.83%	0.54%	1.64%	1.93%	1.35%
53	0.62%	0.75%	0.5%	1.56%	1.83%	1.28%
52	0.57%	0.68%	0.47%	1.48%	1.74%	1.22%
51	0.52%	0.61%	0.44%	1.4%	1.64%	1.15%
50	0.47%	0.55%	0.4%	1.34%	1.57%	1.1%
49	0.42%	0.48%	0.36%	1.25%	1.47%	1.04%
48	0.37%	0.43%	0.32%	1.19%	1.38%	0.98%
47	0.33%	0.37%	0.28%	1.12%	1.3%	0.93%
46	0.29%	0.33%	0.25%	1.06%	1.23%	0.88%
45	0.26%	0.29%	0.23%	1%	1.17%	0.84%
44	0.23%	0.26%	0.21%	0.95%	1.1%	0.79%
43	0.22%	0.23%	0.2%	0.9%	1.04%	0.76%
42	0.2%	0.21%	0.19%	0.86%	0.98%	0.72%
41	0.19%	0.19%	0.18%	0.81%	0.93%	0.69%
40	0.17%	0.18%	0.17%	0.78%	0.89%	0.66%
39	0.16%	0.16%	0.15%	0.73%	0.83%	0.63%
38	0.14%	0.15%	0.14%	0.69%	0.79%	0.6%
37	0.13%	0.14%	0.12%	0.65%	0.74%	0.57%
36	0.12%	0.13%	0.11%	0.62%	0.69%	0.54%
35	0.11%	0.13%	0.1%	0.58%	0.65%	0.51%
34	0.11%	0.12%	0.09%	0.54%	0.61%	0.48%
33	0.1%	0.12%	0.09%	0.51%	0.57%	0.45%
32	0.1%	0.12%	0.09%	0.48%	0.53%	0.43%
31	0.1%	0.12%	0.09%	0.45%	0.5%	0.4%
30	0.1%	0.11%	0.09%	0.42%	0.47%	0.38%
29	0.09%	0.11%	0.08%	0.4%	0.44%	0.36%
28	0.09%	0.1%	0.08%	0.37%	0.42%	0.33%
27	0.08%	0.09%	0.07%	0.35%	0.39%	0.31%
26	0.08%	0.08%	0.07%	0.33%	0.37%	0.29%
25	0.07%	0.08%	0.07%	0.31%	0.35%	0.27%
24	0.07%	0.08%	0.07%	0.29%	0.32%	0.25%
23	0.08%	0.08%	0.07%	0.27%	0.31%	0.23%
22	0.08%	0.08%	0.07%	0.25%	0.28%	0.21%
21	0.08%	0.09%	0.08%	0.23%	0.26%	0.19%
20	0.09%	0.09%	0.09%	0.21%	0.24%	0.18%
19	0.09%	0.1%	0.09%	0.19%	0.22%	0.16%
18	0.1%	0.1%	0.09%	0.17%	0.2%	0.15%
17	0.09%	0.09%	0.09%	0.15%	0.17%	0.13%
16	0.09%	0.09%	0.09%	0.13%	0.14%	0.11%
15	0.08%	0.08%	0.08%	0.11%	0.12%	0.1%
14	0.07%	0.07%	0.07%	0.09%	0.1%	0.08%
13	0.06%	0.05%	0.06%	0.08%	0.09%	0.08%
12	0.05%	0.04%	0.05%	0.07%	0.08%	0.07%
11	0.04%	0.04%	0.04%	0.07%	0.08%	0.07%
10	0.04%	0.03%	0.04%	0.07%	0.07%	0.07%
9	0.04%	0.04%	0.04%	0.07%	0.08%	0.07%
8	0.05%	0.04%	0.05%	0.08%	0.08%	0.07%
7	0.06%	0.05%	0.06%	0.09%	0.09%	0.08%
6	0.07%	0.07%	0.07%	0.1%	0.1%	0.09%
5	0.08%	0.07%	0.08%	0.11%	0.12%	0.11%
4	0.07%	0.07%	0.08%	0.15%	0.15%	0.15%
3	0.06%	0.06%	0.07%	0.21%	0.21%	0.2%
2	0.07%	0.07%	0.07%	0.3%	0.29%	0.3%
1	0.18%	0.18%	0.17%	0.47%	0.44%	0.49%
0	1.53%	1.61%	1.44%	2.82%	3.15%	2.48%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.82% in Kenya, 0.1% vs 0.42% at age 30, 1.12% vs 2.36% at 60, and 6.36% vs 8.53% at 80.

Death rate by age in Bangladesh vs Kenya

Chart Table

Bangladesh

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Bangladesh			Kenya
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	53.6	13.4	94.3
99	504	274.2	753	158.4	84	232.3
98	698	414	1,006	217.5	120.1	313
97	924	588	1,288	295.7	169.3	419
96	1,175	796	1,587	392	232.6	547
95	1,440	1,030	1,887	505	311	693
94	1,718	1,287	2,186	631	405	851
93	1,995	1,557	2,471	771	514	1,023
92	2,264	1,828	2,735	923	638	1,207
91	2,514	2,095	2,969	1,072	767	1,378
90	2,738	2,353	3,155	1,255	920	1,598
89	2,932	2,596	3,297	1,403	1,066	1,756
88	3,093	2,815	3,394	1,565	1,223	1,933
87	3,217	3,003	3,447	1,711	1,375	2,084
86	3,301	3,148	3,465	1,852	1,523	2,224
85	3,347	3,247	3,451	1,959	1,651	2,316
84	3,355	3,299	3,412	2,058	1,776	2,391
83	3,331	3,310	3,348	2,113	1,864	2,409
82	3,279	3,289	3,261	2,159	1,941	2,415
81	3,205	3,246	3,153	2,146	1,973	2,345
80	3,114	3,189	3,027	2,192	2,033	2,362
79	3,015	3,128	2,889	2,204	2,068	2,335
78	2,903	3,054	2,742	2,244	2,116	2,353
77	2,781	2,966	2,589	2,240	2,132	2,320
76	2,649	2,862	2,434	2,243	2,160	2,313
75	2,510	2,740	2,281	2,230	2,178	2,289
74	2,374	2,605	2,137	2,212	2,183	2,248
73	2,238	2,458	1,998	2,188	2,182	2,200
72	2,099	2,301	1,868	2,166	2,180	2,156
71	1,961	2,138	1,748	2,112	2,148	2,080
70	1,826	1,974	1,638	2,099	2,153	2,048
69	1,697	1,817	1,540	2,043	2,116	1,972
68	1,574	1,674	1,445	2,012	2,102	1,922
67	1,463	1,551	1,351	1,976	2,083	1,867
66	1,364	1,452	1,255	1,944	2,067	1,816
65	1,278	1,382	1,154	1,921	2,060	1,776
64	1,206	1,339	1,052	1,844	1,998	1,682
63	1,143	1,310	953	1,770	1,935	1,595
62	1,085	1,285	861	1,699	1,873	1,515
61	1,028	1,253	781	1,618	1,792	1,432
60	968	1,203	714	1,560	1,739	1,366
59	906	1,138	659	1,477	1,648	1,294
58	841	1,059	615	1,416	1,584	1,236
57	778	975	577	1,358	1,522	1,180
56	718	892	545	1,307	1,469	1,132
55	664	814	516	1,262	1,425	1,085
54	615	743	490	1,215	1,373	1,042
53	570	679	464	1,171	1,326	1,002
52	526	618	437	1,132	1,283	967
51	482	560	406	1,084	1,231	924
50	437	503	371	1,049	1,193	892
49	391	448	334	997	1,133	850
48	347	396	296.7	954	1,084	811
47	307	349	263.5	910	1,034	774
46	272.6	308	235.8	869	988	739
45	244	272.8	214.7	834	947	710
44	221.8	243.8	200.3	794	900	679
43	204.5	219.6	190.2	761	861	653
42	190.1	199.2	181.9	730	824	628
41	177.1	181.7	173	699	786	605
40	164	166.5	161.7	673	757	584
39	149.7	153.1	146.8	639	716	559
38	135.6	141.5	130.4	610	682	536
37	123.1	132.1	115.1	580	647	511
36	112.9	124.8	102.4	549	611	487
35	105.6	119.7	93.2	521	578	464
34	101.3	116.7	87.9	489	543	436
33	99.2	115.2	85.6	461	510	412
32	98.3	114.1	85	435	481	391
31	97.4	112.5	84.9	409	452	367
30	95.3	109.1	84	390	431	351
29	90.9	103.1	81.1	367	404	332
28	85.2	95.6	76.8	346	382	311
27	79.3	88.1	72.3	326	361	293.5
26	74.5	81.9	68.5	306	340	273.1
25	71.7	78	66.4	287	322	252.9
24	71	76.7	66.2	268.3	303	234.5
23	73	78.2	68.4	250.7	285.1	216.8
22	76.9	81.7	72.4	232.9	266.5	199.6
21	81.9	86.3	77.8	214.5	246.6	182.5
20	87.2	90.9	83.5	198.6	226.6	170.5
19	91.1	93.9	88.3	180.2	205.8	154.3
18	92.8	94.5	91	162.4	185.4	139
17	91.4	92	90.8	140.3	157.5	122.8
16	86.6	86.2	87	119.7	131.5	107.6
15	78	77	79	102.9	111	94.6
14	66.5	65.4	67.8	87.5	93.7	81.2
13	54.3	53.3	55.5	76.9	81.8	72
12	44.1	43.2	45.1	70.4	75.3	65.4
11	37.7	36.8	38.7	67.3	72.1	62.5
10	34.4	33.5	35.3	66.7	70.3	63.1
9	36.2	35	37.5	69	72.4	65.5
8	44.9	42.8	47	74.2	78.3	70.1
7	56.8	53.6	60.1	82.4	86.7	78.1
6	67.8	63.8	72.1	92.5	96.3	88.6
5	74.1	69.7	78.7	109.2	111.8	106.5
4	71.7	67.9	75.7	144	146.8	141.1
3	61.4	58.9	63.9	197.9	197.7	198
2	70.1	68.9	71.4	288.3	281.8	294.8
1	172.9	175.4	170.2	454	428	480
0	1,530	1,613	1,443	2,818	3,154	2,478

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 Kenya. The median age of death is 79.7 in Bangladesh and 68.8 in Kenya, 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 Kenya more than their death rates.

Life expectancy in other countries

+ -

1x