Life Expectancy in Bangladesh vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Thailand
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.9	102.7	103.1
99	101.2	100.9	101.3	102.1	101.8	102.2
98	100.3	99.9	100.4	101.2	101	101.4
97	99.4	99.1	99.6	100.4	100.2	100.5
96	98.6	98.2	98.8	99.7	99.5	99.8
95	97.8	97.4	98	98.9	98.7	99
94	97	96.6	97.2	98.2	97.9	98.3
93	96.3	95.9	96.5	97.4	97.2	97.6
92	95.5	95.1	95.8	96.7	96.5	96.9
91	94.8	94.4	95.1	96.1	95.7	96.2
90	94.1	93.6	94.4	95.4	95	95.6
89	93.4	92.9	93.8	94.7	94.3	95
88	92.8	92.2	93.1	94.1	93.7	94.3
87	92.1	91.6	92.5	93.5	93	93.8
86	91.5	90.9	91.9	92.9	92.4	93.2
85	90.9	90.3	91.3	92.3	91.8	92.7
84	90.3	89.6	90.8	91.8	91.1	92.2
83	89.7	89	90.2	91.2	90.6	91.7
82	89.2	88.5	89.7	90.7	90	91.2
81	88.6	87.9	89.2	90.2	89.4	90.8
80	88.1	87.4	88.7	89.8	88.9	90.4
79	87.6	86.8	88.3	89.3	88.4	90
78	87.1	86.3	87.8	88.9	87.9	89.6
77	86.7	85.8	87.4	88.5	87.4	89.3
76	86.2	85.4	87	88.1	86.9	89
75	85.8	84.9	86.6	87.7	86.5	88.7
74	85.4	84.5	86.2	87.4	86.1	88.4
73	85	84	85.9	87	85.7	88.1
72	84.6	83.6	85.5	86.7	85.3	87.9
71	84.2	83.2	85.2	86.4	84.9	87.6
70	83.9	82.9	84.9	86.1	84.5	87.4
69	83.6	82.5	84.6	85.8	84.1	87.2
68	83.3	82.2	84.3	85.5	83.8	87
67	83	81.9	84	85.2	83.4	86.8
66	82.7	81.6	83.8	85	83.1	86.6
65	82.4	81.3	83.5	84.8	82.8	86.5
64	82.2	81.1	83.3	84.5	82.5	86.3
63	81.9	80.8	83.1	84.3	82.2	86.1
62	81.6	80.5	82.9	84.1	82	86
61	81.4	80.2	82.7	83.8	81.7	85.8
60	81.2	79.9	82.5	83.6	81.4	85.7
59	80.9	79.6	82.3	83.4	81.1	85.5
58	80.7	79.4	82.2	83.2	80.9	85.4
57	80.5	79.1	82	83	80.6	85.2
56	80.3	78.9	81.8	82.8	80.3	85.1
55	80.1	78.7	81.7	82.6	80.1	85
54	80	78.5	81.5	82.4	79.9	84.8
53	79.8	78.3	81.4	82.2	79.6	84.7
52	79.7	78.1	81.3	82	79.4	84.6
51	79.5	78	81.1	81.9	79.1	84.4
50	79.4	77.8	81	81.7	78.9	84.3
49	79.2	77.7	80.9	81.5	78.7	84.2
48	79.1	77.6	80.8	81.3	78.5	84.1
47	79	77.4	80.7	81.2	78.2	84
46	78.9	77.3	80.6	81	78	83.9
45	78.8	77.3	80.5	80.8	77.8	83.8
44	78.8	77.2	80.5	80.7	77.6	83.7
43	78.7	77.1	80.4	80.5	77.4	83.6
42	78.6	77	80.3	80.4	77.2	83.5
41	78.5	77	80.2	80.2	77	83.5
40	78.5	76.9	80.2	80.1	76.8	83.4
39	78.4	76.8	80.1	80	76.6	83.3
38	78.4	76.8	80.1	79.8	76.4	83.2
37	78.3	76.7	80	79.7	76.3	83.2
36	78.3	76.7	80	79.6	76.1	83.1
35	78.2	76.6	79.9	79.5	76	83.1
34	78.2	76.6	79.9	79.4	75.9	83
33	78.1	76.5	79.8	79.3	75.8	82.9
32	78.1	76.5	79.8	79.3	75.6	82.9
31	78	76.4	79.8	79.2	75.5	82.9
30	78	76.4	79.7	79.1	75.4	82.8
29	77.9	76.3	79.7	79	75.3	82.8
28	77.9	76.3	79.6	79	75.2	82.7
27	77.8	76.2	79.6	78.9	75.1	82.7
26	77.8	76.2	79.6	78.8	75	82.7
25	77.8	76.1	79.5	78.7	74.9	82.6
24	77.7	76.1	79.5	78.7	74.8	82.6
23	77.7	76	79.4	78.6	74.7	82.6
22	77.6	76	79.4	78.5	74.7	82.5
21	77.6	75.9	79.3	78.5	74.6	82.5
20	77.5	75.9	79.3	78.4	74.5	82.5
19	77.5	75.8	79.2	78.3	74.3	82.4
18	77.4	75.8	79.2	78.3	74.2	82.4
17	77.4	75.7	79.1	78.2	74.1	82.3
16	77.3	75.7	79.1	78.1	74.1	82.3
15	77.3	75.6	79	78.1	74	82.3
14	77.2	75.6	79	78	73.9	82.3
13	77.2	75.6	78.9	78	73.9	82.2
12	77.2	75.5	78.9	78	73.9	82.2
11	77.1	75.5	78.9	77.9	73.8	82.2
10	77.1	75.5	78.9	77.9	73.8	82.2
9	77.1	75.5	78.8	77.9	73.8	82.1
8	77.1	75.4	78.8	77.9	73.8	82.1
7	77	75.4	78.8	77.9	73.7	82.1
6	77	75.3	78.7	77.8	73.7	82.1
5	76.9	75.3	78.6	77.8	73.7	82.1
4	76.9	75.2	78.6	77.8	73.7	82
3	76.8	75.2	78.5	77.7	73.6	82
2	76.8	75.2	78.5	77.7	73.6	82
1	76.6	75	78.3	77.7	73.5	81.9
0	75.5	73.8	77.2	77.1	72.9	81.4

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 79.1 in Thailand, rising to 82.4 and 84.8 at 65, and to 88.1 and 89.8 at 80 — higher than the 75.5 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	Bangladesh			Thailand
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	3.38%	2.05%	4.79%
99	1.37%	0.63%	2.15%	4.53%	2.77%	6.38%
98	2.06%	1.05%	3.16%	5.9%	3.65%	8.27%
97	2.99%	1.63%	4.44%	7.52%	4.71%	10.5%
96	4.16%	2.43%	6.03%	9.37%	5.96%	13%
95	5.6%	3.46%	7.92%	11.5%	7.39%	15.7%
94	7.32%	4.75%	10.1%	13.8%	9.02%	18.7%
93	9.32%	6.3%	12.6%	16.3%	10.8%	21.9%
92	11.6%	8.13%	15.3%	19%	12.8%	25.4%
91	14.1%	10.2%	18.3%	21.8%	15%	29%
90	16.8%	12.6%	21.4%	24.8%	17.4%	32.7%
89	19.8%	15.2%	24.7%	28%	19.9%	36.4%
88	22.9%	18%	28.1%	31.1%	22.4%	40.2%
87	26.1%	21%	31.6%	34.3%	25.1%	43.9%
86	29.4%	24.1%	35%	37.5%	27.8%	47.6%
85	32.7%	27.4%	38.5%	40.6%	30.6%	51.1%
84	36.1%	30.7%	41.9%	43.7%	33.4%	54.5%
83	39.4%	34%	45.2%	46.7%	36.2%	57.6%
82	42.7%	37.3%	48.5%	49.6%	38.9%	60.7%
81	45.9%	40.5%	51.7%	52.4%	41.6%	63.5%
80	49%	43.7%	54.7%	55%	44.3%	66.1%
79	52%	46.8%	57.6%	57.5%	46.9%	68.6%
78	54.9%	49.9%	60.3%	59.9%	49.4%	70.8%
77	57.7%	52.9%	62.9%	62.2%	51.8%	72.9%
76	60.4%	55.7%	65.3%	64.3%	54.1%	74.8%
75	62.9%	58.5%	67.6%	66.2%	56.3%	76.5%
74	65.2%	61.1%	69.8%	68%	58.3%	78%
73	67.5%	63.5%	71.8%	69.7%	60.3%	79.4%
72	69.6%	65.8%	73.6%	71.3%	62.2%	80.7%
71	71.5%	68%	75.4%	72.9%	64%	81.9%
70	73.4%	69.9%	77%	74.3%	65.8%	83.1%
69	75.1%	71.8%	78.6%	75.6%	67.4%	84.1%
68	76.6%	73.4%	80%	76.9%	69%	85%
67	78.1%	75%	81.4%	78%	70.4%	85.8%
66	79.5%	76.4%	82.6%	79%	71.7%	86.6%
65	80.7%	77.8%	83.8%	80%	72.9%	87.3%
64	81.9%	79.2%	84.8%	81%	74.1%	87.9%
63	83.1%	80.5%	85.8%	81.9%	75.3%	88.6%
62	84.2%	81.8%	86.6%	82.7%	76.4%	89.1%
61	85.2%	83%	87.4%	83.5%	77.5%	89.7%
60	86.2%	84.2%	88.1%	84.3%	78.5%	90.3%
59	87.1%	85.4%	88.8%	85.1%	79.5%	90.8%
58	87.9%	86.4%	89.4%	85.8%	80.4%	91.3%
57	88.7%	87.4%	90%	86.5%	81.3%	91.7%
56	89.4%	88.3%	90.5%	87.1%	82.2%	92.2%
55	90.1%	89.1%	91%	87.7%	83%	92.6%
54	90.7%	89.8%	91.5%	88.3%	83.8%	93%
53	91.3%	90.5%	92%	88.9%	84.6%	93.4%
52	91.8%	91.1%	92.4%	89.5%	85.3%	93.8%
51	92.3%	91.7%	92.8%	90%	86.1%	94.1%
50	92.7%	92.2%	93.2%	90.5%	86.8%	94.4%
49	93.1%	92.6%	93.5%	91%	87.4%	94.7%
48	93.4%	93%	93.8%	91.5%	88.1%	95%
47	93.8%	93.4%	94.1%	91.9%	88.7%	95.3%
46	94%	93.7%	94.3%	92.4%	89.4%	95.6%
45	94.3%	94%	94.5%	92.8%	90%	95.8%
44	94.5%	94.2%	94.7%	93.2%	90.5%	96%
43	94.7%	94.4%	94.9%	93.6%	91.1%	96.2%
42	94.9%	94.6%	95.1%	94%	91.6%	96.4%
41	95.1%	94.8%	95.3%	94.3%	92.1%	96.6%
40	95.2%	95%	95.5%	94.7%	92.6%	96.8%
39	95.4%	95.1%	95.6%	95%	93.1%	97%
38	95.5%	95.3%	95.7%	95.2%	93.5%	97.1%
37	95.6%	95.4%	95.8%	95.5%	93.8%	97.2%
36	95.7%	95.5%	95.9%	95.7%	94.2%	97.4%
35	95.9%	95.6%	96%	96%	94.5%	97.5%
34	96%	95.8%	96.1%	96.2%	94.8%	97.6%
33	96.1%	95.9%	96.2%	96.3%	95.1%	97.7%
32	96.2%	96%	96.3%	96.5%	95.3%	97.8%
31	96.3%	96.1%	96.4%	96.7%	95.6%	97.9%
30	96.3%	96.2%	96.5%	96.8%	95.8%	97.9%
29	96.4%	96.3%	96.5%	97%	96%	98%
28	96.5%	96.4%	96.6%	97.1%	96.2%	98.1%
27	96.6%	96.5%	96.7%	97.3%	96.4%	98.2%
26	96.7%	96.6%	96.8%	97.4%	96.6%	98.2%
25	96.7%	96.7%	96.8%	97.5%	96.8%	98.3%
24	96.8%	96.7%	96.9%	97.6%	97%	98.3%
23	96.9%	96.8%	97%	97.7%	97.1%	98.4%
22	97%	96.9%	97%	97.9%	97.3%	98.5%
21	97%	97%	97.1%	98%	97.5%	98.5%
20	97.1%	97.1%	97.2%	98.1%	97.7%	98.6%
19	97.2%	97.2%	97.3%	98.2%	97.9%	98.6%
18	97.3%	97.3%	97.4%	98.4%	98.1%	98.7%
17	97.4%	97.4%	97.5%	98.5%	98.2%	98.7%
16	97.5%	97.4%	97.6%	98.6%	98.4%	98.8%
15	97.6%	97.5%	97.6%	98.6%	98.5%	98.8%
14	97.6%	97.6%	97.7%	98.7%	98.6%	98.9%
13	97.7%	97.6%	97.8%	98.8%	98.6%	98.9%
12	97.7%	97.7%	97.8%	98.8%	98.7%	98.9%
11	97.8%	97.7%	97.8%	98.8%	98.7%	99%
10	97.8%	97.8%	97.9%	98.9%	98.8%	99%
9	97.9%	97.8%	97.9%	98.9%	98.8%	99%
8	97.9%	97.8%	98%	98.9%	98.8%	99.1%
7	98%	97.9%	98%	99%	98.9%	99.1%
6	98%	97.9%	98.1%	99%	98.9%	99.1%
5	98.1%	98%	98.2%	99%	98.9%	99.1%
4	98.2%	98.1%	98.3%	99.1%	99%	99.2%
3	98.2%	98.1%	98.3%	99.1%	99%	99.2%
2	98.3%	98.2%	98.4%	99.2%	99.1%	99.3%
1	98.5%	98.4%	98.6%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 84.3% in Thailand are expected to live past 60, 73.4% and 74.3% past 70, 49% and 55% past 80, and only 16.8% and 24.8% 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

Thailand

Male

Female

1x

Age	Probability of dying
	Bangladesh			Thailand
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	26.9%	27.5%	26.6%
99	36.9%	43.4%	35%	25.3%	26%	24.9%
98	33.8%	39.5%	31.9%	23.3%	24.2%	22.9%
97	30.9%	36%	29%	21.5%	22.5%	21%
96	28.2%	32.7%	26.3%	19.8%	20.9%	19.2%
95	25.7%	29.8%	23.8%	18.2%	19.4%	17.5%
94	23.5%	27.1%	21.6%	16.7%	18%	16%
93	21.4%	24.7%	19.6%	15.4%	16.8%	14.7%
92	19.5%	22.5%	17.9%	14.3%	15.7%	13.5%
91	17.8%	20.5%	16.2%	13.2%	14.6%	12.4%
90	16.3%	18.7%	14.7%	12.1%	13.5%	11.3%
89	14.8%	17.1%	13.3%	11.1%	12.5%	10.3%
88	13.5%	15.6%	12.1%	10.2%	11.5%	9.39%
87	12.3%	14.3%	10.9%	9.3%	10.6%	8.49%
86	11.2%	13%	9.89%	8.48%	9.79%	7.66%
85	10.2%	11.9%	8.97%	7.72%	9.03%	6.89%
84	9.3%	10.8%	8.14%	7.03%	8.32%	6.18%
83	8.45%	9.74%	7.4%	6.39%	7.67%	5.54%
82	7.68%	8.82%	6.72%	5.83%	7.08%	4.97%
81	6.98%	8.01%	6.1%	5.31%	6.53%	4.46%
80	6.36%	7.29%	5.53%	4.83%	6.02%	3.99%
79	5.8%	6.68%	5.02%	4.39%	5.53%	3.57%
78	5.29%	6.12%	4.54%	3.99%	5.07%	3.18%
77	4.82%	5.61%	4.11%	3.6%	4.64%	2.83%
76	4.39%	5.14%	3.73%	3.25%	4.23%	2.51%
75	3.99%	4.69%	3.37%	2.94%	3.86%	2.23%
74	3.64%	4.27%	3.06%	2.67%	3.54%	1.98%
73	3.32%	3.87%	2.78%	2.44%	3.27%	1.78%
72	3.02%	3.49%	2.54%	2.25%	3.04%	1.62%
71	2.74%	3.15%	2.32%	2.09%	2.84%	1.47%
70	2.49%	2.82%	2.13%	1.94%	2.66%	1.35%
69	2.26%	2.53%	1.96%	1.79%	2.47%	1.22%
68	2.05%	2.28%	1.81%	1.62%	2.26%	1.09%
67	1.87%	2.07%	1.66%	1.45%	2.03%	0.96%
66	1.72%	1.9%	1.52%	1.29%	1.82%	0.85%
65	1.58%	1.78%	1.38%	1.21%	1.7%	0.79%
64	1.47%	1.69%	1.24%	1.16%	1.62%	0.75%
63	1.38%	1.63%	1.11%	1.1%	1.54%	0.71%
62	1.29%	1.57%	0.99%	1.03%	1.45%	0.67%
61	1.21%	1.51%	0.89%	0.98%	1.37%	0.63%
60	1.12%	1.43%	0.81%	0.93%	1.3%	0.6%
59	1.04%	1.33%	0.74%	0.88%	1.23%	0.57%
58	0.96%	1.23%	0.69%	0.83%	1.17%	0.54%
57	0.88%	1.12%	0.64%	0.79%	1.11%	0.51%
56	0.8%	1.01%	0.6%	0.75%	1.05%	0.48%
55	0.74%	0.91%	0.57%	0.71%	1%	0.46%
54	0.68%	0.83%	0.54%	0.68%	0.95%	0.44%
53	0.62%	0.75%	0.5%	0.65%	0.91%	0.41%
52	0.57%	0.68%	0.47%	0.62%	0.88%	0.39%
51	0.52%	0.61%	0.44%	0.6%	0.84%	0.37%
50	0.47%	0.55%	0.4%	0.57%	0.81%	0.35%
49	0.42%	0.48%	0.36%	0.54%	0.78%	0.32%
48	0.37%	0.43%	0.32%	0.52%	0.74%	0.3%
47	0.33%	0.37%	0.28%	0.49%	0.72%	0.28%
46	0.29%	0.33%	0.25%	0.47%	0.69%	0.27%
45	0.26%	0.29%	0.23%	0.45%	0.67%	0.25%
44	0.23%	0.26%	0.21%	0.44%	0.64%	0.23%
43	0.22%	0.23%	0.2%	0.42%	0.62%	0.22%
42	0.2%	0.21%	0.19%	0.39%	0.59%	0.21%
41	0.19%	0.19%	0.18%	0.37%	0.55%	0.19%
40	0.17%	0.18%	0.17%	0.35%	0.52%	0.18%
39	0.16%	0.16%	0.15%	0.32%	0.48%	0.17%
38	0.14%	0.15%	0.14%	0.3%	0.44%	0.16%
37	0.13%	0.14%	0.12%	0.27%	0.4%	0.14%
36	0.12%	0.13%	0.11%	0.25%	0.36%	0.13%
35	0.11%	0.13%	0.1%	0.23%	0.33%	0.12%
34	0.11%	0.12%	0.09%	0.21%	0.3%	0.11%
33	0.1%	0.12%	0.09%	0.19%	0.28%	0.1%
32	0.1%	0.12%	0.09%	0.18%	0.26%	0.09%
31	0.1%	0.12%	0.09%	0.17%	0.25%	0.08%
30	0.1%	0.11%	0.09%	0.16%	0.24%	0.08%
29	0.09%	0.11%	0.08%	0.15%	0.23%	0.08%
28	0.09%	0.1%	0.08%	0.15%	0.22%	0.07%
27	0.08%	0.09%	0.07%	0.14%	0.21%	0.07%
26	0.08%	0.08%	0.07%	0.13%	0.2%	0.07%
25	0.07%	0.08%	0.07%	0.13%	0.19%	0.06%
24	0.07%	0.08%	0.07%	0.12%	0.18%	0.06%
23	0.08%	0.08%	0.07%	0.12%	0.18%	0.06%
22	0.08%	0.08%	0.07%	0.12%	0.18%	0.06%
21	0.08%	0.09%	0.08%	0.12%	0.19%	0.06%
20	0.09%	0.09%	0.09%	0.13%	0.19%	0.06%
19	0.09%	0.1%	0.09%	0.13%	0.2%	0.06%
18	0.1%	0.1%	0.09%	0.12%	0.19%	0.06%
17	0.09%	0.09%	0.09%	0.11%	0.17%	0.05%
16	0.09%	0.09%	0.09%	0.1%	0.14%	0.05%
15	0.08%	0.08%	0.08%	0.08%	0.11%	0.05%
14	0.07%	0.07%	0.07%	0.07%	0.09%	0.04%
13	0.06%	0.05%	0.06%	0.05%	0.07%	0.04%
12	0.05%	0.04%	0.05%	0.04%	0.05%	0.03%
11	0.04%	0.04%	0.04%	0.04%	0.05%	0.03%
10	0.04%	0.03%	0.04%	0.03%	0.04%	0.03%
9	0.04%	0.04%	0.04%	0.03%	0.04%	0.03%
8	0.05%	0.04%	0.05%	0.03%	0.04%	0.02%
7	0.06%	0.05%	0.06%	0.03%	0.04%	0.03%
6	0.07%	0.07%	0.07%	0.03%	0.04%	0.03%
5	0.08%	0.07%	0.08%	0.04%	0.04%	0.03%
4	0.07%	0.07%	0.08%	0.04%	0.04%	0.04%
3	0.06%	0.06%	0.07%	0.05%	0.05%	0.04%
2	0.07%	0.07%	0.07%	0.05%	0.05%	0.05%
1	0.18%	0.18%	0.17%	0.06%	0.06%	0.07%
0	1.53%	1.61%	1.44%	0.76%	0.84%	0.67%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.76% in Thailand, 0.1% vs 0.16% at age 30, 1.12% vs 0.93% at 60, and 6.36% vs 4.83% at 80.

Death rate by age in Bangladesh vs Thailand

Chart Table

Bangladesh

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	Bangladesh			Thailand
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	906	530	1,303
99	504	274.2	753	1,143	719	1,589
98	698	414	1,006	1,374	882	1,890
97	924	588	1,288	1,615	1,060	2,196
96	1,175	796	1,587	1,855	1,247	2,491
95	1,440	1,030	1,887	2,082	1,435	2,757
94	1,718	1,287	2,186	2,298	1,626	2,999
93	1,995	1,557	2,471	2,505	1,819	3,222
92	2,264	1,828	2,735	2,704	2,011	3,427
91	2,514	2,095	2,969	2,878	2,190	3,596
90	2,738	2,353	3,155	3,009	2,344	3,702
89	2,932	2,596	3,297	3,107	2,476	3,762
88	3,093	2,815	3,394	3,171	2,586	3,775
87	3,217	3,003	3,447	3,193	2,668	3,731
86	3,301	3,148	3,465	3,180	2,726	3,642
85	3,347	3,247	3,451	3,139	2,763	3,517
84	3,355	3,299	3,412	3,072	2,778	3,364
83	3,331	3,310	3,348	2,986	2,775	3,193
82	3,279	3,289	3,261	2,888	2,755	3,014
81	3,205	3,246	3,153	2,779	2,719	2,829
80	3,114	3,189	3,027	2,658	2,666	2,639
79	3,015	3,128	2,889	2,529	2,595	2,448
78	2,903	3,054	2,742	2,389	2,506	2,253
77	2,781	2,966	2,589	2,240	2,402	2,060
76	2,649	2,862	2,434	2,090	2,289	1,874
75	2,510	2,740	2,281	1,946	2,174	1,701
74	2,374	2,605	2,137	1,815	2,067	1,548
73	2,238	2,458	1,998	1,702	1,973	1,416
72	2,099	2,301	1,868	1,605	1,892	1,304
71	1,961	2,138	1,748	1,520	1,820	1,207
70	1,826	1,974	1,638	1,439	1,748	1,117
69	1,697	1,817	1,540	1,352	1,664	1,027
68	1,574	1,674	1,445	1,249	1,556	929
67	1,463	1,551	1,351	1,133	1,427	826
66	1,364	1,452	1,255	1,023	1,302	734
65	1,278	1,382	1,154	967	1,237	687
64	1,206	1,339	1,052	937	1,204	663
63	1,143	1,310	953	897	1,156	630
62	1,085	1,285	861	852	1,105	595
61	1,028	1,253	781	818	1,065	569
60	968	1,203	714	782	1,023	541
59	906	1,138	659	747	979	514
58	841	1,059	615	716	941	490
57	778	975	577	686	904	468
56	718	892	545	656	867	446
55	664	814	516	627	829	425
54	615	743	490	601	797	405
53	570	679	464	580	773	386
52	526	618	437	559	751	367
51	482	560	406	537	727	347
50	437	503	371	515	702	327
49	391	448	334	494	678	307
48	347	396	296.7	474	656	288.2
47	307	349	263.5	455	636	270.1
46	272.6	308	235.8	438	617	253.3
45	244	272.8	214.7	422	600	238
44	221.8	243.8	200.3	406	582	224
43	204.5	219.6	190.2	389	561	211
42	190.1	199.2	181.9	370	537	198.9
41	177.1	181.7	173	350	509	187.4
40	164	166.5	161.7	329	477	175.9
39	149.7	153.1	146.8	307	444	164.3
38	135.6	141.5	130.4	283	409	152.4
37	123.1	132.1	115.1	259.7	375	140.2
36	112.9	124.8	102.4	237.3	342	128
35	105.6	119.7	93.2	216.6	313	116.5
34	101.3	116.7	87.9	198.7	288.3	106
33	99.2	115.2	85.6	183.9	267.9	96.9
32	98.3	114.1	85	172.3	252	89.3
31	97.4	112.5	84.9	163.2	239.6	83.1
30	95.3	109.1	84	155.8	229.6	78
29	90.9	103.1	81.1	149.3	220.5	73.8
28	85.2	95.6	76.8	142.7	210.9	70.1
27	79.3	88.1	72.3	136	200.7	66.8
26	74.5	81.9	68.5	129.3	190.3	63.8
25	71.7	78	66.4	123.1	181	61.3
24	71	76.7	66.2	118.6	174.6	59.2
23	73	78.2	68.4	116.8	172.5	57.8
22	76.9	81.7	72.4	117.6	175	57.1
21	81.9	86.3	77.8	120.7	181.2	57
20	87.2	90.9	83.5	124.3	188	57.1
19	91.1	93.9	88.3	125.9	191.1	56.9
18	92.8	94.5	91	122.2	184.7	56
17	91.4	92	90.8	112.5	167.5	54.1
16	86.6	86.2	87	97.5	141.4	50.9
15	78	77	79	80.9	113.1	46.8
14	66.5	65.4	67.8	65.5	87.5	42.1
13	54.3	53.3	55.5	53.1	67.8	37.5
12	44.1	43.2	45.1	43.9	53.9	33.2
11	37.7	36.8	38.7	37.4	44.7	29.7
10	34.4	33.5	35.3	33.3	39.2	27.1
9	36.2	35	37.5	31	36.2	25.4
8	44.9	42.8	47	29.9	34.8	24.6
7	56.8	53.6	60.1	30.1	34.9	25
6	67.8	63.8	72.1	31.6	36.3	26.6
5	74.1	69.7	78.7	34.7	39.1	30
4	71.7	67.9	75.7	39.3	43.1	35.2
3	61.4	58.9	63.9	45.5	48.1	42.6
2	70.1	68.9	71.4	53.4	54.3	52.5
1	172.9	175.4	170.2	63.5	61.6	65.5
0	1,530	1,613	1,443	761	845	672

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 87 in Thailand. The median age of death is 79.7 in Bangladesh and 81.8 in Thailand, 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 Thailand more than their death rates.

Life expectancy in other countries

+ -

1x