Life Expectancy in Bangladesh vs Laos (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Laos

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Laos
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.7	101.6	101.7
99	101.2	100.9	101.3	100.7	100.6	100.8
98	100.3	99.9	100.4	99.8	99.7	99.8
97	99.4	99.1	99.6	98.9	98.8	98.9
96	98.6	98.2	98.8	98	97.9	98
95	97.8	97.4	98	97.1	97	97.2
94	97	96.6	97.2	96.3	96.1	96.3
93	96.3	95.9	96.5	95.4	95.2	95.5
92	95.5	95.1	95.8	94.6	94.4	94.7
91	94.8	94.4	95.1	93.8	93.5	93.9
90	94.1	93.6	94.4	93	92.7	93.1
89	93.4	92.9	93.8	92.2	91.9	92.3
88	92.8	92.2	93.1	91.4	91.1	91.6
87	92.1	91.6	92.5	90.6	90.4	90.8
86	91.5	90.9	91.9	89.9	89.6	90.1
85	90.9	90.3	91.3	89.2	88.9	89.4
84	90.3	89.6	90.8	88.5	88.2	88.7
83	89.7	89	90.2	87.8	87.5	88
82	89.2	88.5	89.7	87.1	86.8	87.3
81	88.6	87.9	89.2	86.5	86.1	86.7
80	88.1	87.4	88.7	85.8	85.5	86.1
79	87.6	86.8	88.3	85.2	84.8	85.5
78	87.1	86.3	87.8	84.7	84.2	85
77	86.7	85.8	87.4	84.1	83.6	84.5
76	86.2	85.4	87	83.6	83.1	84
75	85.8	84.9	86.6	83	82.5	83.5
74	85.4	84.5	86.2	82.5	82	83
73	85	84	85.9	82.1	81.5	82.6
72	84.6	83.6	85.5	81.6	81	82.2
71	84.2	83.2	85.2	81.2	80.5	81.8
70	83.9	82.9	84.9	80.7	80	81.4
69	83.6	82.5	84.6	80.3	79.6	81
68	83.3	82.2	84.3	79.9	79.1	80.7
67	83	81.9	84	79.6	78.7	80.4
66	82.7	81.6	83.8	79.2	78.3	80.1
65	82.4	81.3	83.5	78.9	78	79.8
64	82.2	81.1	83.3	78.6	77.6	79.5
63	81.9	80.8	83.1	78.3	77.2	79.3
62	81.6	80.5	82.9	78	76.9	79
61	81.4	80.2	82.7	77.7	76.6	78.8
60	81.2	79.9	82.5	77.4	76.3	78.6
59	80.9	79.6	82.3	77.2	76	78.4
58	80.7	79.4	82.2	77	75.7	78.2
57	80.5	79.1	82	76.7	75.4	78
56	80.3	78.9	81.8	76.5	75.2	77.8
55	80.1	78.7	81.7	76.3	74.9	77.6
54	80	78.5	81.5	76.1	74.7	77.5
53	79.8	78.3	81.4	75.9	74.5	77.3
52	79.7	78.1	81.3	75.7	74.3	77.2
51	79.5	78	81.1	75.6	74.1	77
50	79.4	77.8	81	75.4	73.9	76.9
49	79.2	77.7	80.9	75.3	73.8	76.8
48	79.1	77.6	80.8	75.1	73.6	76.6
47	79	77.4	80.7	75	73.5	76.5
46	78.9	77.3	80.6	74.9	73.3	76.4
45	78.8	77.3	80.5	74.7	73.2	76.3
44	78.8	77.2	80.5	74.6	73.1	76.2
43	78.7	77.1	80.4	74.5	72.9	76.1
42	78.6	77	80.3	74.4	72.8	76
41	78.5	77	80.2	74.3	72.7	76
40	78.5	76.9	80.2	74.2	72.6	75.9
39	78.4	76.8	80.1	74.1	72.5	75.8
38	78.4	76.8	80.1	74.1	72.4	75.7
37	78.3	76.7	80	74	72.3	75.7
36	78.3	76.7	80	73.9	72.2	75.6
35	78.2	76.6	79.9	73.8	72.2	75.5
34	78.2	76.6	79.9	73.7	72.1	75.5
33	78.1	76.5	79.8	73.7	72	75.4
32	78.1	76.5	79.8	73.6	71.9	75.3
31	78	76.4	79.8	73.5	71.8	75.3
30	78	76.4	79.7	73.5	71.8	75.2
29	77.9	76.3	79.7	73.4	71.7	75.2
28	77.9	76.3	79.6	73.3	71.6	75.1
27	77.8	76.2	79.6	73.3	71.5	75
26	77.8	76.2	79.6	73.2	71.4	75
25	77.8	76.1	79.5	73.1	71.4	74.9
24	77.7	76.1	79.5	73.1	71.3	74.9
23	77.7	76	79.4	73	71.2	74.8
22	77.6	76	79.4	72.9	71.1	74.8
21	77.6	75.9	79.3	72.9	71	74.7
20	77.5	75.9	79.3	72.8	70.9	74.7
19	77.5	75.8	79.2	72.7	70.9	74.7
18	77.4	75.8	79.2	72.7	70.8	74.6
17	77.4	75.7	79.1	72.6	70.7	74.6
16	77.3	75.7	79.1	72.6	70.7	74.5
15	77.3	75.6	79	72.5	70.6	74.5
14	77.2	75.6	79	72.5	70.6	74.5
13	77.2	75.6	78.9	72.5	70.5	74.5
12	77.2	75.5	78.9	72.4	70.5	74.4
11	77.1	75.5	78.9	72.4	70.4	74.4
10	77.1	75.5	78.9	72.4	70.4	74.4
9	77.1	75.5	78.8	72.3	70.4	74.4
8	77.1	75.4	78.8	72.3	70.3	74.3
7	77	75.4	78.8	72.3	70.3	74.3
6	77	75.3	78.7	72.2	70.2	74.3
5	76.9	75.3	78.6	72.2	70.1	74.2
4	76.9	75.2	78.6	72.1	70.1	74.2
3	76.8	75.2	78.5	72	70	74.1
2	76.8	75.2	78.5	71.9	69.8	74
1	76.6	75	78.3	71.7	69.7	73.8
0	75.5	73.8	77.2	69.7	67.5	72

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 73.5 in Laos, rising to 82.4 and 78.9 at 65, and to 88.1 and 85.8 at 80 — higher than the 75.5 and 69.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Laos

Male

Female

1x

Age	Survival probability
	Bangladesh			Laos
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.08%	0.04%	0.13%
99	1.37%	0.63%	2.15%	0.14%	0.07%	0.22%
98	2.06%	1.05%	3.16%	0.25%	0.13%	0.38%
97	2.99%	1.63%	4.44%	0.41%	0.22%	0.62%
96	4.16%	2.43%	6.03%	0.65%	0.36%	0.98%
95	5.6%	3.46%	7.92%	1.01%	0.57%	1.48%
94	7.32%	4.75%	10.1%	1.51%	0.89%	2.17%
93	9.32%	6.3%	12.6%	2.18%	1.35%	3.07%
92	11.6%	8.13%	15.3%	3.05%	1.97%	4.21%
91	14.1%	10.2%	18.3%	4.16%	2.8%	5.61%
90	16.8%	12.6%	21.4%	5.52%	3.85%	7.3%
89	19.8%	15.2%	24.7%	7.16%	5.14%	9.3%
88	22.9%	18%	28.1%	9.07%	6.67%	11.6%
87	26.1%	21%	31.6%	11.3%	8.45%	14.2%
86	29.4%	24.1%	35%	13.7%	10.5%	17.2%
85	32.7%	27.4%	38.5%	16.4%	12.7%	20.3%
84	36.1%	30.7%	41.9%	19.4%	15.2%	23.8%
83	39.4%	34%	45.2%	22.5%	17.9%	27.3%
82	42.7%	37.3%	48.5%	25.8%	20.8%	31%
81	45.9%	40.5%	51.7%	29.1%	23.8%	34.7%
80	49%	43.7%	54.7%	32.5%	26.9%	38.5%
79	52%	46.8%	57.6%	35.9%	30.1%	42.1%
78	54.9%	49.9%	60.3%	39.3%	33.3%	45.7%
77	57.7%	52.9%	62.9%	42.7%	36.5%	49.2%
76	60.4%	55.7%	65.3%	45.9%	39.6%	52.5%
75	62.9%	58.5%	67.6%	49.1%	42.8%	55.6%
74	65.2%	61.1%	69.8%	52.1%	45.8%	58.7%
73	67.5%	63.5%	71.8%	55%	48.8%	61.5%
72	69.6%	65.8%	73.6%	57.8%	51.7%	64.2%
71	71.5%	68%	75.4%	60.5%	54.5%	66.7%
70	73.4%	69.9%	77%	63%	57.1%	69%
69	75.1%	71.8%	78.6%	65.3%	59.7%	71.1%
68	76.6%	73.4%	80%	67.5%	62.1%	73.1%
67	78.1%	75%	81.4%	69.6%	64.3%	74.9%
66	79.5%	76.4%	82.6%	71.5%	66.5%	76.6%
65	80.7%	77.8%	83.8%	73.2%	68.5%	78.1%
64	81.9%	79.2%	84.8%	74.9%	70.4%	79.5%
63	83.1%	80.5%	85.8%	76.4%	72.2%	80.8%
62	84.2%	81.8%	86.6%	77.9%	73.9%	82%
61	85.2%	83%	87.4%	79.2%	75.4%	83.1%
60	86.2%	84.2%	88.1%	80.4%	76.9%	84.1%
59	87.1%	85.4%	88.8%	81.6%	78.3%	85%
58	87.9%	86.4%	89.4%	82.6%	79.5%	85.8%
57	88.7%	87.4%	90%	83.6%	80.7%	86.6%
56	89.4%	88.3%	90.5%	84.5%	81.8%	87.4%
55	90.1%	89.1%	91%	85.4%	82.8%	88%
54	90.7%	89.8%	91.5%	86.1%	83.7%	88.6%
53	91.3%	90.5%	92%	86.8%	84.6%	89.2%
52	91.8%	91.1%	92.4%	87.5%	85.4%	89.8%
51	92.3%	91.7%	92.8%	88.1%	86.1%	90.3%
50	92.7%	92.2%	93.2%	88.7%	86.7%	90.7%
49	93.1%	92.6%	93.5%	89.2%	87.3%	91.1%
48	93.4%	93%	93.8%	89.7%	87.9%	91.5%
47	93.8%	93.4%	94.1%	90.1%	88.4%	91.9%
46	94%	93.7%	94.3%	90.5%	88.9%	92.2%
45	94.3%	94%	94.5%	90.9%	89.3%	92.5%
44	94.5%	94.2%	94.7%	91.2%	89.7%	92.8%
43	94.7%	94.4%	94.9%	91.5%	90.1%	93.1%
42	94.9%	94.6%	95.1%	91.8%	90.4%	93.3%
41	95.1%	94.8%	95.3%	92.1%	90.7%	93.5%
40	95.2%	95%	95.5%	92.4%	91%	93.8%
39	95.4%	95.1%	95.6%	92.6%	91.3%	93.9%
38	95.5%	95.3%	95.7%	92.8%	91.6%	94.1%
37	95.6%	95.4%	95.8%	93%	91.8%	94.3%
36	95.7%	95.5%	95.9%	93.2%	92%	94.5%
35	95.9%	95.6%	96%	93.4%	92.2%	94.6%
34	96%	95.8%	96.1%	93.6%	92.4%	94.8%
33	96.1%	95.9%	96.2%	93.7%	92.6%	94.9%
32	96.2%	96%	96.3%	93.9%	92.8%	95%
31	96.3%	96.1%	96.4%	94.1%	93%	95.2%
30	96.3%	96.2%	96.5%	94.2%	93.2%	95.3%
29	96.4%	96.3%	96.5%	94.4%	93.3%	95.4%
28	96.5%	96.4%	96.6%	94.5%	93.5%	95.5%
27	96.6%	96.5%	96.7%	94.6%	93.7%	95.6%
26	96.7%	96.6%	96.8%	94.8%	93.8%	95.7%
25	96.7%	96.7%	96.8%	94.9%	94%	95.8%
24	96.8%	96.7%	96.9%	95%	94.2%	95.9%
23	96.9%	96.8%	97%	95.2%	94.3%	96%
22	97%	96.9%	97%	95.3%	94.5%	96.1%
21	97%	97%	97.1%	95.4%	94.7%	96.2%
20	97.1%	97.1%	97.2%	95.5%	94.8%	96.3%
19	97.2%	97.2%	97.3%	95.7%	95%	96.4%
18	97.3%	97.3%	97.4%	95.8%	95.1%	96.4%
17	97.4%	97.4%	97.5%	95.8%	95.2%	96.5%
16	97.5%	97.4%	97.6%	95.9%	95.3%	96.6%
15	97.6%	97.5%	97.6%	96%	95.4%	96.6%
14	97.6%	97.6%	97.7%	96.1%	95.5%	96.7%
13	97.7%	97.6%	97.8%	96.1%	95.6%	96.7%
12	97.7%	97.7%	97.8%	96.2%	95.6%	96.7%
11	97.8%	97.7%	97.8%	96.2%	95.7%	96.8%
10	97.8%	97.8%	97.9%	96.3%	95.7%	96.8%
9	97.9%	97.8%	97.9%	96.3%	95.8%	96.8%
8	97.9%	97.8%	98%	96.4%	95.9%	96.9%
7	98%	97.9%	98%	96.4%	95.9%	96.9%
6	98%	97.9%	98.1%	96.5%	96%	97%
5	98.1%	98%	98.2%	96.6%	96.1%	97%
4	98.2%	98.1%	98.3%	96.7%	96.3%	97.1%
3	98.2%	98.1%	98.3%	96.8%	96.4%	97.2%
2	98.3%	98.2%	98.4%	97%	96.6%	97.4%
1	98.5%	98.4%	98.6%	97.2%	96.8%	97.6%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 80.4% in Laos are expected to live past 60, 73.4% and 63% past 70, 49% and 32.5% past 80, and only 16.8% and 5.52% 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

Laos

Male

Female

1x

Age	Probability of dying
	Bangladesh			Laos
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	45.8%	47.4%	45.2%
99	36.9%	43.4%	35%	43.6%	45.4%	42.9%
98	33.8%	39.5%	31.9%	41.7%	43.5%	40.9%
97	30.9%	36%	29%	39.6%	41.5%	38.8%
96	28.2%	32.7%	26.3%	37.4%	39.6%	36.5%
95	25.7%	29.8%	23.8%	35.2%	37.7%	34.1%
94	23.5%	27.1%	21.6%	33%	35.8%	31.6%
93	21.4%	24.7%	19.6%	30.8%	33.8%	29.3%
92	19.5%	22.5%	17.9%	28.7%	31.7%	27.1%
91	17.8%	20.5%	16.2%	26.6%	29.5%	25%
90	16.3%	18.7%	14.7%	24.7%	27.3%	23.1%
89	14.8%	17.1%	13.3%	22.9%	25.1%	21.5%
88	13.5%	15.6%	12.1%	21.1%	23%	19.9%
87	12.3%	14.3%	10.9%	19.5%	21%	18.4%
86	11.2%	13%	9.89%	17.9%	19.3%	17%
85	10.2%	11.9%	8.97%	16.5%	17.7%	15.7%
84	9.3%	10.8%	8.14%	15.1%	16.3%	14.4%
83	8.45%	9.74%	7.4%	13.9%	15%	13.1%
82	7.68%	8.82%	6.72%	12.7%	13.8%	11.9%
81	6.98%	8.01%	6.1%	11.5%	12.7%	10.7%
80	6.36%	7.29%	5.53%	10.5%	11.6%	9.68%
79	5.8%	6.68%	5.02%	9.5%	10.6%	8.7%
78	5.29%	6.12%	4.54%	8.61%	9.64%	7.82%
77	4.82%	5.61%	4.11%	7.8%	8.79%	7.02%
76	4.39%	5.14%	3.73%	7.08%	8.01%	6.32%
75	3.99%	4.69%	3.37%	6.43%	7.32%	5.69%
74	3.64%	4.27%	3.06%	5.84%	6.68%	5.13%
73	3.32%	3.87%	2.78%	5.31%	6.11%	4.62%
72	3.02%	3.49%	2.54%	4.82%	5.58%	4.16%
71	2.74%	3.15%	2.32%	4.37%	5.09%	3.74%
70	2.49%	2.82%	2.13%	3.97%	4.65%	3.36%
69	2.26%	2.53%	1.96%	3.59%	4.24%	3.01%
68	2.05%	2.28%	1.81%	3.26%	3.87%	2.7%
67	1.87%	2.07%	1.66%	2.95%	3.54%	2.43%
66	1.72%	1.9%	1.52%	2.67%	3.23%	2.18%
65	1.58%	1.78%	1.38%	2.43%	2.96%	1.96%
64	1.47%	1.69%	1.24%	2.21%	2.7%	1.77%
63	1.38%	1.63%	1.11%	2.01%	2.48%	1.6%
62	1.29%	1.57%	0.99%	1.84%	2.27%	1.44%
61	1.21%	1.51%	0.89%	1.68%	2.08%	1.31%
60	1.12%	1.43%	0.81%	1.53%	1.91%	1.19%
59	1.04%	1.33%	0.74%	1.4%	1.74%	1.08%
58	0.96%	1.23%	0.69%	1.28%	1.6%	0.99%
57	0.88%	1.12%	0.64%	1.17%	1.46%	0.91%
56	0.8%	1.01%	0.6%	1.07%	1.33%	0.83%
55	0.74%	0.91%	0.57%	0.98%	1.21%	0.76%
54	0.68%	0.83%	0.54%	0.9%	1.1%	0.7%
53	0.62%	0.75%	0.5%	0.82%	1%	0.64%
52	0.57%	0.68%	0.47%	0.75%	0.91%	0.59%
51	0.52%	0.61%	0.44%	0.69%	0.83%	0.55%
50	0.47%	0.55%	0.4%	0.63%	0.76%	0.51%
49	0.42%	0.48%	0.36%	0.58%	0.7%	0.47%
48	0.37%	0.43%	0.32%	0.53%	0.64%	0.43%
47	0.33%	0.37%	0.28%	0.49%	0.58%	0.39%
46	0.29%	0.33%	0.25%	0.45%	0.53%	0.36%
45	0.26%	0.29%	0.23%	0.41%	0.49%	0.33%
44	0.23%	0.26%	0.21%	0.38%	0.44%	0.3%
43	0.22%	0.23%	0.2%	0.34%	0.41%	0.28%
42	0.2%	0.21%	0.19%	0.32%	0.37%	0.26%
41	0.19%	0.19%	0.18%	0.29%	0.34%	0.24%
40	0.17%	0.18%	0.17%	0.27%	0.32%	0.22%
39	0.16%	0.16%	0.15%	0.25%	0.3%	0.21%
38	0.14%	0.15%	0.14%	0.24%	0.28%	0.2%
37	0.13%	0.14%	0.12%	0.22%	0.26%	0.19%
36	0.12%	0.13%	0.11%	0.21%	0.24%	0.17%
35	0.11%	0.13%	0.1%	0.2%	0.23%	0.16%
34	0.11%	0.12%	0.09%	0.19%	0.22%	0.16%
33	0.1%	0.12%	0.09%	0.18%	0.21%	0.15%
32	0.1%	0.12%	0.09%	0.17%	0.2%	0.14%
31	0.1%	0.12%	0.09%	0.16%	0.19%	0.13%
30	0.1%	0.11%	0.09%	0.16%	0.19%	0.13%
29	0.09%	0.11%	0.08%	0.15%	0.18%	0.12%
28	0.09%	0.1%	0.08%	0.15%	0.18%	0.12%
27	0.08%	0.09%	0.07%	0.15%	0.18%	0.11%
26	0.08%	0.08%	0.07%	0.14%	0.18%	0.11%
25	0.07%	0.08%	0.07%	0.14%	0.18%	0.11%
24	0.07%	0.08%	0.07%	0.14%	0.18%	0.1%
23	0.08%	0.08%	0.07%	0.14%	0.18%	0.1%
22	0.08%	0.08%	0.07%	0.14%	0.18%	0.09%
21	0.08%	0.09%	0.08%	0.13%	0.17%	0.09%
20	0.09%	0.09%	0.09%	0.13%	0.17%	0.08%
19	0.09%	0.1%	0.09%	0.12%	0.15%	0.08%
18	0.1%	0.1%	0.09%	0.11%	0.14%	0.07%
17	0.09%	0.09%	0.09%	0.09%	0.12%	0.07%
16	0.09%	0.09%	0.09%	0.08%	0.11%	0.06%
15	0.08%	0.08%	0.08%	0.07%	0.09%	0.05%
14	0.07%	0.07%	0.07%	0.06%	0.08%	0.05%
13	0.06%	0.05%	0.06%	0.06%	0.07%	0.04%
12	0.05%	0.04%	0.05%	0.05%	0.07%	0.04%
11	0.04%	0.04%	0.04%	0.05%	0.06%	0.04%
10	0.04%	0.03%	0.04%	0.05%	0.06%	0.04%
9	0.04%	0.04%	0.04%	0.05%	0.07%	0.04%
8	0.05%	0.04%	0.05%	0.06%	0.07%	0.04%
7	0.06%	0.05%	0.06%	0.06%	0.08%	0.04%
6	0.07%	0.07%	0.07%	0.07%	0.09%	0.05%
5	0.08%	0.07%	0.08%	0.09%	0.11%	0.07%
4	0.07%	0.07%	0.08%	0.11%	0.13%	0.09%
3	0.06%	0.06%	0.07%	0.14%	0.16%	0.12%
2	0.07%	0.07%	0.07%	0.18%	0.19%	0.17%
1	0.18%	0.18%	0.17%	0.23%	0.23%	0.24%
0	1.53%	1.61%	1.44%	2.78%	3.18%	2.36%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.78% in Laos, 0.1% vs 0.16% at age 30, 1.12% vs 1.53% at 60, and 6.36% vs 10.5% at 80.

Death rate by age in Bangladesh vs Laos

Chart Table

Bangladesh

Male

Female

Laos

Male

Female

1x

Age	Death rate
	Bangladesh			Laos
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	0
99	504	274.2	753	62.9	32.4	96.4
98	698	414	1,006	102.9	54.9	155.7
97	924	588	1,288	162	89.7	241
96	1,175	796	1,587	244.7	141.7	357
95	1,440	1,030	1,887	355	216.4	506
94	1,718	1,287	2,186	497	320	687
93	1,995	1,557	2,471	670	456	899
92	2,264	1,828	2,735	875	626	1,139
91	2,514	2,095	2,969	1,108	826	1,403
90	2,738	2,353	3,155	1,364	1,050	1,691
89	2,932	2,596	3,297	1,636	1,289	1,995
88	3,093	2,815	3,394	1,915	1,533	2,310
87	3,217	3,003	3,447	2,193	1,779	2,623
86	3,301	3,148	3,465	2,462	2,021	2,921
85	3,347	3,247	3,451	2,712	2,257	3,188
84	3,355	3,299	3,412	2,935	2,481	3,411
83	3,331	3,310	3,348	3,121	2,686	3,579
82	3,279	3,289	3,261	3,264	2,864	3,686
81	3,205	3,246	3,153	3,360	3,007	3,733
80	3,114	3,189	3,027	3,409	3,110	3,723
79	3,015	3,128	2,889	3,415	3,175	3,665
78	2,903	3,054	2,742	3,386	3,205	3,572
77	2,781	2,966	2,589	3,330	3,203	3,453
76	2,649	2,862	2,434	3,251	3,177	3,317
75	2,510	2,740	2,281	3,155	3,129	3,167
74	2,374	2,605	2,137	3,044	3,063	3,008
73	2,238	2,458	1,998	2,920	2,980	2,841
72	2,099	2,301	1,868	2,786	2,883	2,668
71	1,961	2,138	1,748	2,644	2,774	2,492
70	1,826	1,974	1,638	2,496	2,656	2,316
69	1,697	1,817	1,540	2,347	2,531	2,142
68	1,574	1,674	1,445	2,199	2,404	1,975
67	1,463	1,551	1,351	2,052	2,275	1,817
66	1,364	1,452	1,255	1,909	2,148	1,669
65	1,278	1,382	1,154	1,777	2,025	1,532
64	1,206	1,339	1,052	1,654	1,904	1,405
63	1,143	1,310	953	1,538	1,788	1,290
62	1,085	1,285	861	1,430	1,677	1,184
61	1,028	1,253	781	1,329	1,570	1,088
60	968	1,203	714	1,234	1,466	1,001
59	906	1,138	659	1,144	1,366	922
58	841	1,059	615	1,059	1,269	849
57	778	975	577	981	1,175	784
56	718	892	545	908	1,086	725
55	664	814	516	839	1,001	671
54	615	743	490	774	921	621
53	570	679	464	714	847	575
52	526	618	437	659	779	534
51	482	560	406	609	717	495
50	437	503	371	562	661	459
49	391	448	334	519	608	425
48	347	396	296.7	478	560	392
47	307	349	263.5	441	515	362
46	272.6	308	235.8	405	473	333
45	244	272.8	214.7	373	434	307
44	221.8	243.8	200.3	343	399	283
43	204.5	219.6	190.2	315	367	261.4
42	190.1	199.2	181.9	291.4	338	242.3
41	177.1	181.7	173	270	312	225.5
40	164	166.5	161.7	251.2	289.7	210.7
39	149.7	153.1	146.8	234.6	270	197.5
38	135.6	141.5	130.4	220	252.8	185.6
37	123.1	132.1	115.1	206.9	237.7	174.7
36	112.9	124.8	102.4	195.2	224.6	164.7
35	105.6	119.7	93.2	184.8	213.1	155.5
34	101.3	116.7	87.9	175.5	203	147.2
33	99.2	115.2	85.6	167.2	194	139.6
32	98.3	114.1	85	159.9	186	133
31	97.4	112.5	84.9	153.5	179.1	127
30	95.3	109.1	84	148	173.5	121.8
29	90.9	103.1	81.1	143.6	169.2	117.1
28	85.2	95.6	76.8	140.3	166.6	112.8
27	79.3	88.1	72.3	138	165.6	108.8
26	74.5	81.9	68.5	136.2	166	105
25	71.7	78	66.4	134.9	167.2	101.3
24	71	76.7	66.2	133.8	168.6	97.6
23	73	78.2	68.4	132.3	169.2	93.9
22	76.9	81.7	72.4	129.8	167.9	90
21	81.9	86.3	77.8	125.7	163.8	85.8
20	87.2	90.9	83.5	119.6	156.5	81.1
19	91.1	93.9	88.3	111.5	145.8	75.8
18	92.8	94.5	91	101.8	132.3	69.9
17	91.4	92	90.8	91	117.3	63.5
16	86.6	86.2	87	80.1	102.2	57.1
15	78	77	79	70.1	88.4	50.9
14	66.5	65.4	67.8	61.6	77.1	45.4
13	54.3	53.3	55.5	55.1	68.6	40.9
12	44.1	43.2	45.1	50.6	63.1	37.5
11	37.7	36.8	38.7	48.2	60.5	35.4
10	34.4	33.5	35.3	47.9	60.5	34.6
9	36.2	35	37.5	49.7	63.2	35.4
8	44.9	42.8	47	53.7	68.6	38.1
7	56.8	53.6	60.1	60.6	76.9	43.4
6	67.8	63.8	72.1	70.8	88.6	52.1
5	74.1	69.7	78.7	85.6	104.3	65.9
4	71.7	67.9	75.7	106.2	124.5	87
3	61.4	58.9	63.9	134.7	150.2	118.3
2	70.1	68.9	71.4	173.6	182.5	164.1
1	172.9	175.4	170.2	226.1	222.4	230
0	1,530	1,613	1,443	2,780	3,178	2,363

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 79 in Laos. The median age of death is 79.7 in Bangladesh and 74.7 in Laos, 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 Laos more than their death rates.

Life expectancy in other countries

+ -

1x