Life Expectancy in Seychelles vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

Seychelles

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	Seychelles			Thailand
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.9	102.7	103.1
99	101.1	100.9	101.1	102.1	101.8	102.2
98	100.2	100	100.2	101.2	101	101.4
97	99.3	99.2	99.3	100.4	100.2	100.5
96	98.4	98.3	98.5	99.7	99.5	99.8
95	97.6	97.4	97.6	98.9	98.7	99
94	96.8	96.6	96.8	98.2	97.9	98.3
93	95.9	95.7	96	97.4	97.2	97.6
92	95.1	94.9	95.2	96.7	96.5	96.9
91	94.4	94.1	94.5	96.1	95.7	96.2
90	93.6	93.3	93.7	95.4	95	95.6
89	92.9	92.5	93	94.7	94.3	95
88	92.1	91.8	92.3	94.1	93.7	94.3
87	91.4	91	91.6	93.5	93	93.8
86	90.7	90.3	90.9	92.9	92.4	93.2
85	90.1	89.6	90.3	92.3	91.8	92.7
84	89.4	88.9	89.7	91.8	91.1	92.2
83	88.8	88.2	89.1	91.2	90.6	91.7
82	88.1	87.5	88.5	90.7	90	91.2
81	87.6	86.9	88	90.2	89.4	90.8
80	87	86.2	87.5	89.8	88.9	90.4
79	86.4	85.6	87	89.3	88.4	90
78	85.9	85	86.5	88.9	87.9	89.6
77	85.4	84.5	86.1	88.5	87.4	89.3
76	84.9	83.9	85.6	88.1	86.9	89
75	84.4	83.4	85.3	87.7	86.5	88.7
74	83.9	82.9	84.9	87.4	86.1	88.4
73	83.5	82.4	84.5	87	85.7	88.1
72	83.1	81.9	84.2	86.7	85.3	87.9
71	82.7	81.4	83.9	86.4	84.9	87.6
70	82.3	80.9	83.6	86.1	84.5	87.4
69	81.9	80.5	83.3	85.8	84.1	87.2
68	81.5	80.1	83	85.5	83.8	87
67	81.2	79.7	82.8	85.2	83.4	86.8
66	80.9	79.3	82.5	85	83.1	86.6
65	80.6	78.9	82.3	84.8	82.8	86.5
64	80.3	78.5	82.1	84.5	82.5	86.3
63	80	78.2	81.9	84.3	82.2	86.1
62	79.7	77.9	81.7	84.1	82	86
61	79.4	77.5	81.5	83.8	81.7	85.8
60	79.2	77.2	81.3	83.6	81.4	85.7
59	79	76.9	81.1	83.4	81.1	85.5
58	78.7	76.7	81	83.2	80.9	85.4
57	78.5	76.4	80.8	83	80.6	85.2
56	78.3	76.1	80.7	82.8	80.3	85.1
55	78.1	75.9	80.6	82.6	80.1	85
54	77.9	75.7	80.4	82.4	79.9	84.8
53	77.7	75.4	80.3	82.2	79.6	84.7
52	77.5	75.2	80.2	82	79.4	84.6
51	77.4	75	80	81.9	79.1	84.4
50	77.2	74.8	79.9	81.7	78.9	84.3
49	77	74.7	79.8	81.5	78.7	84.2
48	76.9	74.5	79.7	81.3	78.5	84.1
47	76.7	74.3	79.6	81.2	78.2	84
46	76.6	74.1	79.5	81	78	83.9
45	76.4	73.9	79.5	80.8	77.8	83.8
44	76.3	73.8	79.4	80.7	77.6	83.7
43	76.2	73.6	79.3	80.5	77.4	83.6
42	76.1	73.5	79.3	80.4	77.2	83.5
41	76	73.4	79.2	80.2	77	83.5
40	75.9	73.3	79.2	80.1	76.8	83.4
39	75.8	73.2	79.1	80	76.6	83.3
38	75.7	73.1	79	79.8	76.4	83.2
37	75.7	73	79	79.7	76.3	83.2
36	75.6	72.9	78.9	79.6	76.1	83.1
35	75.5	72.8	78.8	79.5	76	83.1
34	75.4	72.8	78.7	79.4	75.9	83
33	75.3	72.7	78.7	79.3	75.8	82.9
32	75.2	72.6	78.6	79.3	75.6	82.9
31	75.2	72.5	78.5	79.2	75.5	82.9
30	75.1	72.4	78.5	79.1	75.4	82.8
29	75	72.3	78.4	79	75.3	82.8
28	74.9	72.2	78.4	79	75.2	82.7
27	74.9	72.2	78.3	78.9	75.1	82.7
26	74.8	72.1	78.3	78.8	75	82.7
25	74.7	72	78.2	78.7	74.9	82.6
24	74.7	72	78.2	78.7	74.8	82.6
23	74.6	71.9	78.1	78.6	74.7	82.6
22	74.6	71.8	78.1	78.5	74.7	82.5
21	74.5	71.7	78	78.5	74.6	82.5
20	74.5	71.7	78	78.4	74.5	82.5
19	74.4	71.6	78	78.3	74.3	82.4
18	74.4	71.6	78	78.3	74.2	82.4
17	74.4	71.5	78	78.2	74.1	82.3
16	74.3	71.5	78	78.1	74.1	82.3
15	74.3	71.5	78	78.1	74	82.3
14	74.3	71.4	77.9	78	73.9	82.3
13	74.3	71.4	77.9	78	73.9	82.2
12	74.3	71.4	77.9	78	73.9	82.2
11	74.3	71.4	77.9	77.9	73.8	82.2
10	74.2	71.4	77.9	77.9	73.8	82.2
9	74.2	71.3	77.9	77.9	73.8	82.1
8	74.2	71.3	77.9	77.9	73.8	82.1
7	74.2	71.3	77.9	77.9	73.7	82.1
6	74.2	71.3	77.8	77.8	73.7	82.1
5	74.1	71.3	77.8	77.8	73.7	82.1
4	74.1	71.2	77.8	77.8	73.7	82
3	74.1	71.2	77.8	77.7	73.6	82
2	74	71.2	77.7	77.7	73.6	82
1	74	71.1	77.7	77.7	73.5	81.9
0	73.3	70.4	77	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 the Seychelles can expect to live to 75.1 years compared to 79.1 in Thailand, rising to 80.6 and 84.8 at 65, and to 87 and 89.8 at 80 — higher than the 73.3 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Seychelles

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	Seychelles			Thailand
	Average	Male	Female	Average	Male	Female
100	0.38%	0.17%	0.6%	3.38%	2.05%	4.79%
99	0.6%	0.28%	0.95%	4.53%	2.77%	6.38%
98	0.91%	0.44%	1.44%	5.9%	3.65%	8.27%
97	1.36%	0.67%	2.13%	7.52%	4.71%	10.5%
96	1.97%	0.99%	3.05%	9.37%	5.96%	13%
95	2.77%	1.44%	4.25%	11.5%	7.39%	15.7%
94	3.78%	2.03%	5.75%	13.8%	9.02%	18.7%
93	5.04%	2.8%	7.59%	16.3%	10.8%	21.9%
92	6.56%	3.77%	9.78%	19%	12.8%	25.4%
91	8.35%	4.95%	12.3%	21.8%	15%	29%
90	10.4%	6.35%	15.2%	24.8%	17.4%	32.7%
89	12.7%	7.99%	18.4%	28%	19.9%	36.4%
88	15.3%	9.87%	21.8%	31.1%	22.4%	40.2%
87	18%	12%	25.5%	34.3%	25.1%	43.9%
86	21%	14.3%	29.3%	37.5%	27.8%	47.6%
85	24.1%	16.8%	33.2%	40.6%	30.6%	51.1%
84	27.3%	19.5%	37.1%	43.7%	33.4%	54.5%
83	30.6%	22.3%	41%	46.7%	36.2%	57.6%
82	33.9%	25.3%	44.9%	49.6%	38.9%	60.7%
81	37.3%	28.3%	48.6%	52.4%	41.6%	63.5%
80	40.5%	31.4%	52.2%	55%	44.3%	66.1%
79	43.8%	34.5%	55.6%	57.5%	46.9%	68.6%
78	46.9%	37.6%	58.8%	59.9%	49.4%	70.8%
77	50%	40.7%	61.9%	62.2%	51.8%	72.9%
76	53%	43.8%	64.7%	64.3%	54.1%	74.8%
75	55.8%	46.7%	67.4%	66.2%	56.3%	76.5%
74	58.6%	49.6%	69.8%	68%	58.3%	78%
73	61.1%	52.5%	72.1%	69.7%	60.3%	79.4%
72	63.6%	55.2%	74.1%	71.3%	62.2%	80.7%
71	65.9%	57.8%	76%	72.9%	64%	81.9%
70	68.1%	60.3%	77.8%	74.3%	65.8%	83.1%
69	70.1%	62.7%	79.4%	75.6%	67.4%	84.1%
68	72.1%	65%	80.8%	76.9%	69%	85%
67	73.9%	67.2%	82.2%	78%	70.4%	85.8%
66	75.6%	69.2%	83.4%	79%	71.7%	86.6%
65	77.1%	71.2%	84.6%	80%	72.9%	87.3%
64	78.6%	73%	85.6%	81%	74.1%	87.9%
63	79.9%	74.8%	86.6%	81.9%	75.3%	88.6%
62	81.2%	76.4%	87.5%	82.7%	76.4%	89.1%
61	82.4%	77.9%	88.3%	83.5%	77.5%	89.7%
60	83.5%	79.3%	89%	84.3%	78.5%	90.3%
59	84.5%	80.7%	89.7%	85.1%	79.5%	90.8%
58	85.5%	81.9%	90.4%	85.8%	80.4%	91.3%
57	86.4%	83.1%	90.9%	86.5%	81.3%	91.7%
56	87.2%	84.2%	91.5%	87.1%	82.2%	92.2%
55	88%	85.2%	92%	87.7%	83%	92.6%
54	88.7%	86.1%	92.4%	88.3%	83.8%	93%
53	89.4%	87%	92.8%	88.9%	84.6%	93.4%
52	90%	87.8%	93.3%	89.5%	85.3%	93.8%
51	90.6%	88.6%	93.7%	90%	86.1%	94.1%
50	91.2%	89.2%	94.1%	90.5%	86.8%	94.4%
49	91.7%	89.9%	94.4%	91%	87.4%	94.7%
48	92.2%	90.5%	94.8%	91.5%	88.1%	95%
47	92.7%	91.1%	95.1%	91.9%	88.7%	95.3%
46	93.2%	91.7%	95.3%	92.4%	89.4%	95.6%
45	93.6%	92.3%	95.5%	92.8%	90%	95.8%
44	94%	92.8%	95.7%	93.2%	90.5%	96%
43	94.3%	93.3%	95.8%	93.6%	91.1%	96.2%
42	94.6%	93.7%	95.9%	94%	91.6%	96.4%
41	94.9%	94%	96.1%	94.3%	92.1%	96.6%
40	95.2%	94.3%	96.2%	94.7%	92.6%	96.8%
39	95.4%	94.6%	96.4%	95%	93.1%	97%
38	95.6%	94.8%	96.5%	95.2%	93.5%	97.1%
37	95.8%	95%	96.7%	95.5%	93.8%	97.2%
36	96%	95.2%	96.8%	95.7%	94.2%	97.4%
35	96.2%	95.4%	97%	96%	94.5%	97.5%
34	96.3%	95.7%	97.2%	96.2%	94.8%	97.6%
33	96.5%	95.9%	97.3%	96.3%	95.1%	97.7%
32	96.7%	96.1%	97.5%	96.5%	95.3%	97.8%
31	96.9%	96.3%	97.6%	96.7%	95.6%	97.9%
30	97.1%	96.5%	97.7%	96.8%	95.8%	97.9%
29	97.2%	96.7%	97.8%	97%	96%	98%
28	97.4%	96.9%	97.9%	97.1%	96.2%	98.1%
27	97.5%	97%	98%	97.3%	96.4%	98.2%
26	97.6%	97.2%	98.1%	97.4%	96.6%	98.2%
25	97.8%	97.3%	98.2%	97.5%	96.8%	98.3%
24	97.9%	97.5%	98.3%	97.6%	97%	98.3%
23	98%	97.6%	98.4%	97.7%	97.1%	98.4%
22	98.1%	97.8%	98.5%	97.9%	97.3%	98.5%
21	98.2%	97.9%	98.6%	98%	97.5%	98.5%
20	98.3%	98%	98.6%	98.1%	97.7%	98.6%
19	98.4%	98.1%	98.6%	98.2%	97.9%	98.6%
18	98.5%	98.2%	98.7%	98.4%	98.1%	98.7%
17	98.5%	98.3%	98.7%	98.5%	98.2%	98.7%
16	98.5%	98.4%	98.7%	98.6%	98.4%	98.8%
15	98.6%	98.4%	98.7%	98.6%	98.5%	98.8%
14	98.6%	98.5%	98.7%	98.7%	98.6%	98.9%
13	98.6%	98.5%	98.7%	98.8%	98.6%	98.9%
12	98.6%	98.5%	98.8%	98.8%	98.7%	98.9%
11	98.7%	98.6%	98.8%	98.8%	98.7%	99%
10	98.7%	98.6%	98.8%	98.9%	98.8%	99%
9	98.7%	98.6%	98.8%	98.9%	98.8%	99%
8	98.7%	98.6%	98.8%	98.9%	98.8%	99.1%
7	98.8%	98.7%	98.9%	99%	98.9%	99.1%
6	98.8%	98.7%	98.9%	99%	98.9%	99.1%
5	98.8%	98.7%	98.9%	99%	98.9%	99.1%
4	98.9%	98.8%	99%	99.1%	99%	99.2%
3	98.9%	98.8%	99%	99.1%	99%	99.2%
2	99%	98.9%	99.1%	99.2%	99.1%	99.3%
1	99%	98.9%	99.1%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 83.5% of newborns in the Seychelles and 84.3% in Thailand are expected to live past 60, 68.1% and 74.3% past 70, 40.5% and 55% past 80, and only 10.4% 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

Seychelles

Male

Female

Thailand

Male

Female

1x

Age	Probability of dying
	Seychelles			Thailand
	Average	Male	Female	Average	Male	Female
100	38.8%	40.4%	38.5%	26.9%	27.5%	26.6%
99	36.8%	38.5%	36.4%	25.3%	26%	24.9%
98	34.9%	36.7%	34.3%	23.3%	24.2%	22.9%
97	32.9%	34.8%	32.2%	21.5%	22.5%	21%
96	30.9%	32.9%	30.2%	19.8%	20.9%	19.2%
95	28.8%	31%	28.1%	18.2%	19.4%	17.5%
94	26.8%	29.2%	26.2%	16.7%	18%	16%
93	25%	27.4%	24.2%	15.4%	16.8%	14.7%
92	23.2%	25.6%	22.4%	14.3%	15.7%	13.5%
91	21.5%	23.8%	20.6%	13.2%	14.6%	12.4%
90	19.8%	22.1%	18.9%	12.1%	13.5%	11.3%
89	18.2%	20.5%	17.3%	11.1%	12.5%	10.3%
88	16.7%	19%	15.8%	10.2%	11.5%	9.39%
87	15.3%	17.6%	14.4%	9.3%	10.6%	8.49%
86	14%	16.2%	13%	8.48%	9.79%	7.66%
85	12.8%	15%	11.8%	7.72%	9.03%	6.89%
84	11.8%	13.8%	10.6%	7.03%	8.32%	6.18%
83	10.8%	12.7%	9.54%	6.39%	7.67%	5.54%
82	9.85%	11.7%	8.56%	5.83%	7.08%	4.97%
81	8.91%	10.7%	7.67%	5.31%	6.53%	4.46%
80	8.1%	9.84%	6.87%	4.83%	6.02%	3.99%
79	7.4%	9.03%	6.15%	4.39%	5.53%	3.57%
78	6.74%	8.28%	5.5%	3.99%	5.07%	3.18%
77	6.11%	7.59%	4.92%	3.6%	4.64%	2.83%
76	5.6%	6.96%	4.39%	3.25%	4.23%	2.51%
75	5.14%	6.38%	3.92%	2.94%	3.86%	2.23%
74	4.64%	5.86%	3.5%	2.67%	3.54%	1.98%
73	4.2%	5.38%	3.12%	2.44%	3.27%	1.78%
72	3.86%	4.94%	2.79%	2.25%	3.04%	1.62%
71	3.53%	4.53%	2.5%	2.09%	2.84%	1.47%
70	3.2%	4.16%	2.25%	1.94%	2.66%	1.35%
69	2.94%	3.83%	2.02%	1.79%	2.47%	1.22%
68	2.69%	3.52%	1.82%	1.62%	2.26%	1.09%
67	2.45%	3.24%	1.64%	1.45%	2.03%	0.96%
66	2.23%	2.98%	1.48%	1.29%	1.82%	0.85%
65	2.03%	2.74%	1.35%	1.21%	1.7%	0.79%
64	1.85%	2.52%	1.23%	1.16%	1.62%	0.75%
63	1.69%	2.32%	1.12%	1.1%	1.54%	0.71%
62	1.57%	2.13%	1.02%	1.03%	1.45%	0.67%
61	1.44%	1.96%	0.92%	0.98%	1.37%	0.63%
60	1.32%	1.8%	0.84%	0.93%	1.3%	0.6%
59	1.21%	1.66%	0.77%	0.88%	1.23%	0.57%
58	1.1%	1.53%	0.7%	0.83%	1.17%	0.54%
57	1.03%	1.4%	0.64%	0.79%	1.11%	0.51%
56	0.97%	1.29%	0.58%	0.75%	1.05%	0.48%
55	0.89%	1.19%	0.52%	0.71%	1%	0.46%
54	0.82%	1.09%	0.48%	0.68%	0.95%	0.44%
53	0.77%	1%	0.47%	0.65%	0.91%	0.41%
52	0.71%	0.91%	0.46%	0.62%	0.88%	0.39%
51	0.66%	0.83%	0.44%	0.6%	0.84%	0.37%
50	0.62%	0.77%	0.42%	0.57%	0.81%	0.35%
49	0.58%	0.72%	0.39%	0.54%	0.78%	0.32%
48	0.54%	0.69%	0.34%	0.52%	0.74%	0.3%
47	0.51%	0.66%	0.3%	0.49%	0.72%	0.28%
46	0.48%	0.63%	0.25%	0.47%	0.69%	0.27%
45	0.44%	0.61%	0.21%	0.45%	0.67%	0.25%
44	0.42%	0.57%	0.18%	0.44%	0.64%	0.23%
43	0.38%	0.51%	0.15%	0.42%	0.62%	0.22%
42	0.33%	0.45%	0.14%	0.39%	0.59%	0.21%
41	0.29%	0.38%	0.14%	0.37%	0.55%	0.19%
40	0.25%	0.32%	0.14%	0.35%	0.52%	0.18%
39	0.23%	0.27%	0.15%	0.32%	0.48%	0.17%
38	0.21%	0.24%	0.16%	0.3%	0.44%	0.16%
37	0.2%	0.22%	0.17%	0.27%	0.4%	0.14%
36	0.2%	0.21%	0.18%	0.25%	0.36%	0.13%
35	0.2%	0.22%	0.18%	0.23%	0.33%	0.12%
34	0.2%	0.22%	0.17%	0.21%	0.3%	0.11%
33	0.2%	0.23%	0.16%	0.19%	0.28%	0.1%
32	0.2%	0.23%	0.14%	0.18%	0.26%	0.09%
31	0.19%	0.22%	0.13%	0.17%	0.25%	0.08%
30	0.17%	0.21%	0.12%	0.16%	0.24%	0.08%
29	0.16%	0.19%	0.11%	0.15%	0.23%	0.08%
28	0.14%	0.17%	0.1%	0.15%	0.22%	0.07%
27	0.14%	0.16%	0.1%	0.14%	0.21%	0.07%
26	0.13%	0.16%	0.1%	0.13%	0.2%	0.07%
25	0.13%	0.15%	0.11%	0.13%	0.19%	0.06%
24	0.13%	0.15%	0.11%	0.12%	0.18%	0.06%
23	0.13%	0.15%	0.1%	0.12%	0.18%	0.06%
22	0.12%	0.15%	0.08%	0.12%	0.18%	0.06%
21	0.1%	0.14%	0.06%	0.12%	0.19%	0.06%
20	0.09%	0.13%	0.04%	0.13%	0.19%	0.06%
19	0.07%	0.11%	0.03%	0.13%	0.2%	0.06%
18	0.06%	0.1%	0.02%	0.12%	0.19%	0.06%
17	0.05%	0.08%	0.02%	0.11%	0.17%	0.05%
16	0.04%	0.06%	0.02%	0.1%	0.14%	0.05%
15	0.03%	0.05%	0.01%	0.08%	0.11%	0.05%
14	0.03%	0.04%	0.01%	0.07%	0.09%	0.04%
13	0.02%	0.03%	0.02%	0.05%	0.07%	0.04%
12	0.02%	0.03%	0.02%	0.04%	0.05%	0.03%
11	0.02%	0.03%	0.02%	0.04%	0.05%	0.03%
10	0.02%	0.02%	0.02%	0.03%	0.04%	0.03%
9	0.02%	0.02%	0.02%	0.03%	0.04%	0.03%
8	0.02%	0.03%	0.02%	0.03%	0.04%	0.02%
7	0.03%	0.03%	0.02%	0.03%	0.04%	0.03%
6	0.03%	0.03%	0.03%	0.03%	0.04%	0.03%
5	0.03%	0.04%	0.03%	0.04%	0.04%	0.03%
4	0.04%	0.04%	0.04%	0.04%	0.04%	0.04%
3	0.05%	0.05%	0.05%	0.05%	0.05%	0.04%
2	0.06%	0.06%	0.06%	0.05%	0.05%	0.05%
1	0.07%	0.07%	0.07%	0.06%	0.06%	0.07%
0	0.97%	1.06%	0.87%	0.76%	0.84%	0.67%

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

The annual chance of dying is 0.97% in the birth year in the Seychelles and 0.76% in Thailand, 0.17% vs 0.16% at age 30, 1.32% vs 0.93% at 60, and 8.1% vs 4.83% at 80.

Death rate by age in Seychelles vs Thailand

Chart Table

Seychelles

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	Seychelles			Thailand
	Total	Male	Female	Total	Male	Female
100	45	0	91.5	906	530	1,303
99	218.8	106.3	345	1,143	719	1,589
98	318	159.6	496	1,374	882	1,890
97	449	231.9	687	1,615	1,060	2,196
96	609	327	921	1,855	1,247	2,491
95	795	447	1,195	2,082	1,435	2,757
94	1,013	594	1,505	2,298	1,626	2,999
93	1,260	769	1,840	2,505	1,819	3,222
92	1,520	965	2,186	2,704	2,011	3,427
91	1,791	1,179	2,532	2,878	2,190	3,596
90	2,062	1,406	2,867	3,009	2,344	3,702
89	2,315	1,640	3,175	3,107	2,476	3,762
88	2,550	1,873	3,443	3,171	2,586	3,775
87	2,758	2,101	3,659	3,193	2,668	3,731
86	2,937	2,315	3,814	3,180	2,726	3,642
85	3,088	2,512	3,906	3,139	2,763	3,517
84	3,218	2,686	3,937	3,072	2,778	3,364
83	3,318	2,833	3,912	2,986	2,775	3,193
82	3,344	2,950	3,840	2,888	2,755	3,014
81	3,319	3,035	3,729	2,779	2,719	2,829
80	3,283	3,090	3,586	2,658	2,666	2,639
79	3,240	3,116	3,421	2,529	2,595	2,448
78	3,162	3,115	3,238	2,389	2,506	2,253
77	3,057	3,090	3,043	2,240	2,402	2,060
76	2,965	3,045	2,841	2,090	2,289	1,874
75	2,868	2,983	2,638	1,946	2,174	1,701
74	2,718	2,908	2,441	1,815	2,067	1,548
73	2,569	2,821	2,251	1,702	1,973	1,416
72	2,457	2,724	2,072	1,605	1,892	1,304
71	2,326	2,620	1,904	1,520	1,820	1,207
70	2,179	2,511	1,748	1,439	1,748	1,117
69	2,059	2,400	1,604	1,352	1,664	1,027
68	1,942	2,287	1,471	1,249	1,556	929
67	1,811	2,174	1,348	1,133	1,427	826
66	1,683	2,061	1,237	1,023	1,302	734
65	1,565	1,948	1,139	967	1,237	687
64	1,450	1,839	1,051	937	1,204	663
63	1,354	1,732	967	897	1,156	630
62	1,271	1,628	889	852	1,105	595
61	1,183	1,527	817	818	1,065	569
60	1,100	1,430	750	782	1,023	541
59	1,023	1,338	688	747	979	514
58	944	1,251	630	716	941	490
57	888	1,167	579	686	904	468
56	843	1,087	531	656	867	446
55	784	1,013	482	627	829	425
54	730	941	447	601	797	405
53	684	867	435	580	773	386
52	639	799	428	559	751	367
51	601	738	416	537	727	347
50	567	689	396	515	702	327
49	532	651	365	494	678	307
48	502	623	326	474	656	288.2
47	474	601	281.1	455	636	270.1
46	444	582	236.3	438	617	253.3
45	415	559	197.6	422	600	238
44	391	525	167.7	406	582	224
43	359	479	147.3	389	561	211
42	316	420	136.2	370	537	198.9
41	275.9	358	133.2	350	509	187.4
40	242.1	302	136.8	329	477	175.9
39	216.2	256.8	145.4	307	444	164.3
38	200.4	225.7	156.4	283	409	152.4
37	193.3	208.7	166.9	259.7	375	140.2
36	192.2	203.5	173.6	237.3	342	128
35	194.5	206.7	174.3	216.6	313	116.5
34	196.8	214.2	168	198.7	288.3	106
33	195.4	220.9	156.2	183.9	267.9	96.9
32	189.8	221.8	141.2	172.3	252	89.3
31	179.9	214.5	126.1	163.2	239.6	83.1
30	165.8	200.9	113	155.8	229.6	78
29	151.7	184.1	103.5	149.3	220.5	73.8
28	140.9	169	98.7	142.7	210.9	70.1
27	133.5	157.9	98.1	136	200.7	66.8
26	129.9	151.5	100.8	129.3	190.3	63.8
25	129.3	149	103.9	123.1	181	61.3
24	128.3	148.5	103.5	118.6	174.6	59.2
23	123.3	147.9	95.2	116.8	172.5	57.8
22	114.1	145.1	80.1	117.6	175	57.1
21	101.4	138.2	61.5	120.7	181.2	57
20	86.9	126.9	44	124.3	188	57.1
19	72.3	111.5	31.3	125.9	191.1	56.9
18	59.1	94.3	23	122.2	184.7	56
17	47.7	77.1	18	112.5	167.5	54.1
16	38.6	61.6	15.4	97.5	141.4	50.9
15	31.9	49	14.4	80.9	113.1	46.8
14	27	39.3	14.3	65.5	87.5	42.1
13	23.9	32.5	14.9	53.1	67.8	37.5
12	22.1	28	15.8	43.9	53.9	33.2
11	21.3	25.4	16.9	37.4	44.7	29.7
10	21.3	24.3	18	33.3	39.2	27.1
9	22	24.5	19.3	31	36.2	25.4
8	23.3	25.6	20.8	29.9	34.8	24.6
7	25.5	27.9	22.9	30.1	34.9	25
6	28.7	31.4	26	31.6	36.3	26.6
5	33.4	36.1	30.5	34.7	39.1	30
4	39.5	42	36.8	39.3	43.1	35.2
3	47.3	49.3	45.3	45.5	48.1	42.6
2	57.5	58.3	56.8	53.4	54.3	52.5
1	70.5	69.1	71.9	63.5	61.6	65.5
0	967	1,060	872	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 the Seychelles, the most common age of death is 82, compared to 87 in Thailand. The median age of death is 77 in the Seychelles 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 the Seychelles and Thailand more than their death rates.

Life expectancy in other countries

+ -

1x