Life Expectancy in Seychelles vs Singapore (1950-2026)

Life expectancy by current age

Chart Table

Seychelles

Male

Female

Singapore

Male

Female

1x

Current age, years	Total life expectancy, years
	Seychelles			Singapore
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.7	102.3	102.9
99	101.1	100.9	101.1	101.9	101.5	102.1
98	100.2	100	100.2	101.1	100.7	101.3
97	99.3	99.2	99.3	100.3	99.9	100.5
96	98.4	98.3	98.5	99.6	99.1	99.8
95	97.6	97.4	97.6	98.8	98.3	99
94	96.8	96.6	96.8	98.1	97.6	98.3
93	95.9	95.7	96	97.4	96.8	97.7
92	95.1	94.9	95.2	96.7	96.1	97
91	94.4	94.1	94.5	96.1	95.4	96.4
90	93.6	93.3	93.7	95.5	94.7	95.8
89	92.9	92.5	93	94.8	94.1	95.3
88	92.1	91.8	92.3	94.3	93.5	94.7
87	91.4	91	91.6	93.7	92.9	94.2
86	90.7	90.3	90.9	93.2	92.3	93.7
85	90.1	89.6	90.3	92.7	91.7	93.3
84	89.4	88.9	89.7	92.2	91.2	92.9
83	88.8	88.2	89.1	91.7	90.7	92.5
82	88.1	87.5	88.5	91.3	90.2	92.1
81	87.6	86.9	88	90.9	89.8	91.7
80	87	86.2	87.5	90.5	89.3	91.4
79	86.4	85.6	87	90.1	88.9	91.1
78	85.9	85	86.5	89.8	88.5	90.8
77	85.4	84.5	86.1	89.5	88.1	90.5
76	84.9	83.9	85.6	89.1	87.7	90.3
75	84.4	83.4	85.3	88.8	87.4	90.1
74	83.9	82.9	84.9	88.6	87.1	89.8
73	83.5	82.4	84.5	88.3	86.7	89.7
72	83.1	81.9	84.2	88.1	86.4	89.5
71	82.7	81.4	83.9	87.8	86.1	89.3
70	82.3	80.9	83.6	87.6	85.9	89.2
69	81.9	80.5	83.3	87.4	85.6	89
68	81.5	80.1	83	87.2	85.4	88.9
67	81.2	79.7	82.8	87	85.2	88.7
66	80.9	79.3	82.5	86.9	85	88.6
65	80.6	78.9	82.3	86.7	84.8	88.5
64	80.3	78.5	82.1	86.6	84.6	88.4
63	80	78.2	81.9	86.4	84.4	88.3
62	79.7	77.9	81.7	86.3	84.3	88.2
61	79.4	77.5	81.5	86.2	84.1	88.1
60	79.2	77.2	81.3	86	84	88
59	79	76.9	81.1	85.9	83.8	87.9
58	78.7	76.7	81	85.8	83.7	87.9
57	78.5	76.4	80.8	85.7	83.6	87.8
56	78.3	76.1	80.7	85.6	83.5	87.7
55	78.1	75.9	80.6	85.5	83.3	87.6
54	77.9	75.7	80.4	85.4	83.2	87.6
53	77.7	75.4	80.3	85.4	83.2	87.5
52	77.5	75.2	80.2	85.3	83.1	87.5
51	77.4	75	80	85.2	83	87.4
50	77.2	74.8	79.9	85.2	82.9	87.4
49	77	74.7	79.8	85.1	82.8	87.3
48	76.9	74.5	79.7	85	82.8	87.3
47	76.7	74.3	79.6	85	82.7	87.2
46	76.6	74.1	79.5	85	82.7	87.2
45	76.4	73.9	79.5	84.9	82.6	87.2
44	76.3	73.8	79.4	84.9	82.6	87.1
43	76.2	73.6	79.3	84.8	82.5	87.1
42	76.1	73.5	79.3	84.8	82.5	87.1
41	76	73.4	79.2	84.8	82.4	87.1
40	75.9	73.3	79.2	84.7	82.4	87.1
39	75.8	73.2	79.1	84.7	82.4	87
38	75.7	73.1	79	84.7	82.4	87
37	75.7	73	79	84.7	82.3	87
36	75.6	72.9	78.9	84.7	82.3	87
35	75.5	72.8	78.8	84.6	82.3	87
34	75.4	72.8	78.7	84.6	82.3	87
33	75.3	72.7	78.7	84.6	82.2	87
32	75.2	72.6	78.6	84.6	82.2	86.9
31	75.2	72.5	78.5	84.6	82.2	86.9
30	75.1	72.4	78.5	84.5	82.2	86.9
29	75	72.3	78.4	84.5	82.2	86.9
28	74.9	72.2	78.4	84.5	82.1	86.9
27	74.9	72.2	78.3	84.5	82.1	86.9
26	74.8	72.1	78.3	84.5	82.1	86.9
25	74.7	72	78.2	84.5	82.1	86.9
24	74.7	72	78.2	84.5	82.1	86.9
23	74.6	71.9	78.1	84.5	82.1	86.9
22	74.6	71.8	78.1	84.4	82	86.9
21	74.5	71.7	78	84.4	82	86.8
20	74.5	71.7	78	84.4	82	86.8
19	74.4	71.6	78	84.4	82	86.8
18	74.4	71.6	78	84.4	82	86.8
17	74.4	71.5	78	84.4	82	86.8
16	74.3	71.5	78	84.4	81.9	86.8
15	74.3	71.5	78	84.4	81.9	86.8
14	74.3	71.4	77.9	84.3	81.9	86.8
13	74.3	71.4	77.9	84.3	81.9	86.8
12	74.3	71.4	77.9	84.3	81.9	86.8
11	74.3	71.4	77.9	84.3	81.9	86.8
10	74.2	71.4	77.9	84.3	81.9	86.8
9	74.2	71.3	77.9	84.3	81.9	86.8
8	74.2	71.3	77.9	84.3	81.9	86.8
7	74.2	71.3	77.9	84.3	81.9	86.8
6	74.2	71.3	77.8	84.3	81.9	86.8
5	74.1	71.3	77.8	84.3	81.9	86.8
4	74.1	71.2	77.8	84.3	81.9	86.8
3	74.1	71.2	77.8	84.3	81.9	86.7
2	74	71.2	77.7	84.3	81.8	86.7
1	74	71.1	77.7	84.3	81.8	86.7
0	73.3	70.4	77	84.1	81.7	86.6

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 84.5 in Singapore, rising to 80.6 and 86.7 at 65, and to 87 and 90.5 at 80 — higher than the 73.3 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Seychelles

Male

Female

Singapore

Male

Female

1x

Age	Survival probability
	Seychelles			Singapore
	Average	Male	Female	Average	Male	Female
100	0.38%	0.17%	0.6%	4.99%	2.55%	7.25%
99	0.6%	0.28%	0.95%	6.71%	3.6%	9.59%
98	0.91%	0.44%	1.44%	8.78%	4.95%	12.4%
97	1.36%	0.67%	2.13%	11.2%	6.62%	15.5%
96	1.97%	0.99%	3.05%	14%	8.64%	19.1%
95	2.77%	1.44%	4.25%	17.1%	11%	22.9%
94	3.78%	2.03%	5.75%	20.5%	13.7%	27%
93	5.04%	2.8%	7.59%	24.2%	16.7%	31.3%
92	6.56%	3.77%	9.78%	28%	20%	35.7%
91	8.35%	4.95%	12.3%	32%	23.6%	40.2%
90	10.4%	6.35%	15.2%	36.1%	27.3%	44.6%
89	12.7%	7.99%	18.4%	40.2%	31.2%	49%
88	15.3%	9.87%	21.8%	44.2%	35.1%	53.2%
87	18%	12%	25.5%	48.2%	39%	57.2%
86	21%	14.3%	29.3%	52%	42.9%	61%
85	24.1%	16.8%	33.2%	55.6%	46.7%	64.5%
84	27.3%	19.5%	37.1%	59.1%	50.4%	67.8%
83	30.6%	22.3%	41%	62.4%	54%	70.9%
82	33.9%	25.3%	44.9%	65.5%	57.4%	73.7%
81	37.3%	28.3%	48.6%	68.3%	60.6%	76.3%
80	40.5%	31.4%	52.2%	71%	63.6%	78.6%
79	43.8%	34.5%	55.6%	73.5%	66.5%	80.7%
78	46.9%	37.6%	58.8%	75.7%	69.1%	82.6%
77	50%	40.7%	61.9%	77.8%	71.6%	84.3%
76	53%	43.8%	64.7%	79.8%	74%	85.8%
75	55.8%	46.7%	67.4%	81.5%	76.2%	87.1%
74	58.6%	49.6%	69.8%	83.2%	78.2%	88.3%
73	61.1%	52.5%	72.1%	84.6%	80.1%	89.4%
72	63.6%	55.2%	74.1%	86%	81.9%	90.3%
71	65.9%	57.8%	76%	87.2%	83.4%	91.2%
70	68.1%	60.3%	77.8%	88.3%	84.9%	91.9%
69	70.1%	62.7%	79.4%	89.3%	86.2%	92.6%
68	72.1%	65%	80.8%	90.2%	87.4%	93.2%
67	73.9%	67.2%	82.2%	91%	88.4%	93.8%
66	75.6%	69.2%	83.4%	91.8%	89.4%	94.3%
65	77.1%	71.2%	84.6%	92.4%	90.3%	94.7%
64	78.6%	73%	85.6%	93.1%	91.1%	95.2%
63	79.9%	74.8%	86.6%	93.7%	91.9%	95.6%
62	81.2%	76.4%	87.5%	94.2%	92.6%	95.9%
61	82.4%	77.9%	88.3%	94.7%	93.2%	96.2%
60	83.5%	79.3%	89%	95.1%	93.8%	96.5%
59	84.5%	80.7%	89.7%	95.5%	94.3%	96.8%
58	85.5%	81.9%	90.4%	95.9%	94.8%	97.1%
57	86.4%	83.1%	90.9%	96.3%	95.3%	97.3%
56	87.2%	84.2%	91.5%	96.6%	95.7%	97.6%
55	88%	85.2%	92%	96.9%	96%	97.8%
54	88.7%	86.1%	92.4%	97.1%	96.4%	98%
53	89.4%	87%	92.8%	97.4%	96.7%	98.1%
52	90%	87.8%	93.3%	97.6%	97%	98.3%
51	90.6%	88.6%	93.7%	97.8%	97.2%	98.4%
50	91.2%	89.2%	94.1%	98%	97.4%	98.6%
49	91.7%	89.9%	94.4%	98.1%	97.6%	98.7%
48	92.2%	90.5%	94.8%	98.3%	97.8%	98.8%
47	92.7%	91.1%	95.1%	98.4%	98%	98.9%
46	93.2%	91.7%	95.3%	98.5%	98.1%	99%
45	93.6%	92.3%	95.5%	98.6%	98.2%	99%
44	94%	92.8%	95.7%	98.7%	98.4%	99.1%
43	94.3%	93.3%	95.8%	98.8%	98.5%	99.2%
42	94.6%	93.7%	95.9%	98.9%	98.6%	99.2%
41	94.9%	94%	96.1%	98.9%	98.7%	99.3%
40	95.2%	94.3%	96.2%	99%	98.8%	99.3%
39	95.4%	94.6%	96.4%	99.1%	98.8%	99.3%
38	95.6%	94.8%	96.5%	99.1%	98.9%	99.4%
37	95.8%	95%	96.7%	99.2%	98.9%	99.4%
36	96%	95.2%	96.8%	99.2%	99%	99.4%
35	96.2%	95.4%	97%	99.2%	99.1%	99.5%
34	96.3%	95.7%	97.2%	99.3%	99.1%	99.5%
33	96.5%	95.9%	97.3%	99.3%	99.1%	99.5%
32	96.7%	96.1%	97.5%	99.3%	99.2%	99.5%
31	96.9%	96.3%	97.6%	99.4%	99.2%	99.5%
30	97.1%	96.5%	97.7%	99.4%	99.3%	99.6%
29	97.2%	96.7%	97.8%	99.4%	99.3%	99.6%
28	97.4%	96.9%	97.9%	99.5%	99.3%	99.6%
27	97.5%	97%	98%	99.5%	99.4%	99.6%
26	97.6%	97.2%	98.1%	99.5%	99.4%	99.6%
25	97.8%	97.3%	98.2%	99.5%	99.4%	99.6%
24	97.9%	97.5%	98.3%	99.6%	99.5%	99.7%
23	98%	97.6%	98.4%	99.6%	99.5%	99.7%
22	98.1%	97.8%	98.5%	99.6%	99.5%	99.7%
21	98.2%	97.9%	98.6%	99.6%	99.5%	99.7%
20	98.3%	98%	98.6%	99.6%	99.6%	99.7%
19	98.4%	98.1%	98.6%	99.7%	99.6%	99.7%
18	98.5%	98.2%	98.7%	99.7%	99.6%	99.7%
17	98.5%	98.3%	98.7%	99.7%	99.6%	99.7%
16	98.5%	98.4%	98.7%	99.7%	99.7%	99.8%
15	98.6%	98.4%	98.7%	99.7%	99.7%	99.8%
14	98.6%	98.5%	98.7%	99.7%	99.7%	99.8%
13	98.6%	98.5%	98.7%	99.7%	99.7%	99.8%
12	98.6%	98.5%	98.8%	99.7%	99.7%	99.8%
11	98.7%	98.6%	98.8%	99.8%	99.7%	99.8%
10	98.7%	98.6%	98.8%	99.8%	99.7%	99.8%
9	98.7%	98.6%	98.8%	99.8%	99.7%	99.8%
8	98.7%	98.6%	98.8%	99.8%	99.7%	99.8%
7	98.8%	98.7%	98.9%	99.8%	99.7%	99.8%
6	98.8%	98.7%	98.9%	99.8%	99.8%	99.8%
5	98.8%	98.7%	98.9%	99.8%	99.8%	99.8%
4	98.9%	98.8%	99%	99.8%	99.8%	99.8%
3	98.9%	98.8%	99%	99.8%	99.8%	99.8%
2	99%	98.9%	99.1%	99.8%	99.8%	99.8%
1	99%	98.9%	99.1%	99.8%	99.8%	99.9%

This chart shows the odds of living to each age from birth. 83.5% of newborns in the Seychelles and 95.1% in Singapore are expected to live past 60, 68.1% and 88.3% past 70, 40.5% and 71% past 80, and only 10.4% and 36.1% 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

Singapore

Male

Female

1x

Age	Probability of dying
	Seychelles			Singapore
	Average	Male	Female	Average	Male	Female
100	38.8%	40.4%	38.5%	27.4%	31.2%	26.3%
99	36.8%	38.5%	36.4%	25.6%	29.3%	24.5%
98	34.9%	36.7%	34.3%	23.6%	27.2%	22.4%
97	32.9%	34.8%	32.2%	21.7%	25.3%	20.4%
96	30.9%	32.9%	30.2%	19.9%	23.3%	18.6%
95	28.8%	31%	28.1%	18.2%	21.4%	16.8%
94	26.8%	29.2%	26.2%	16.6%	19.7%	15.2%
93	25%	27.4%	24.2%	15.1%	18.1%	13.7%
92	23.2%	25.6%	22.4%	13.8%	16.6%	12.4%
91	21.5%	23.8%	20.6%	12.5%	15.1%	11.1%
90	19.8%	22.1%	18.9%	11.3%	13.7%	9.95%
89	18.2%	20.5%	17.3%	10.2%	12.4%	8.88%
88	16.7%	19%	15.8%	9.15%	11.2%	7.9%
87	15.3%	17.6%	14.4%	8.18%	10%	7.02%
86	14%	16.2%	13%	7.32%	9.04%	6.22%
85	12.8%	15%	11.8%	6.55%	8.13%	5.51%
84	11.8%	13.8%	10.6%	5.87%	7.32%	4.87%
83	10.8%	12.7%	9.54%	5.27%	6.58%	4.31%
82	9.85%	11.7%	8.56%	4.71%	5.91%	3.8%
81	8.91%	10.7%	7.67%	4.2%	5.31%	3.35%
80	8.1%	9.84%	6.87%	3.75%	4.77%	2.95%
79	7.4%	9.03%	6.15%	3.35%	4.29%	2.6%
78	6.74%	8.28%	5.5%	3%	3.87%	2.28%
77	6.11%	7.59%	4.92%	2.69%	3.5%	2.01%
76	5.6%	6.96%	4.39%	2.42%	3.17%	1.76%
75	5.14%	6.38%	3.92%	2.17%	2.88%	1.54%
74	4.64%	5.86%	3.5%	1.95%	2.61%	1.35%
73	4.2%	5.38%	3.12%	1.75%	2.36%	1.19%
72	3.86%	4.94%	2.79%	1.56%	2.12%	1.05%
71	3.53%	4.53%	2.5%	1.39%	1.9%	0.93%
70	3.2%	4.16%	2.25%	1.24%	1.7%	0.83%
69	2.94%	3.83%	2.02%	1.12%	1.51%	0.74%
68	2.69%	3.52%	1.82%	1%	1.35%	0.66%
67	2.45%	3.24%	1.64%	0.9%	1.21%	0.59%
66	2.23%	2.98%	1.48%	0.82%	1.09%	0.54%
65	2.03%	2.74%	1.35%	0.74%	0.99%	0.49%
64	1.85%	2.52%	1.23%	0.68%	0.9%	0.44%
63	1.69%	2.32%	1.12%	0.62%	0.82%	0.41%
62	1.57%	2.13%	1.02%	0.56%	0.75%	0.37%
61	1.44%	1.96%	0.92%	0.52%	0.68%	0.34%
60	1.32%	1.8%	0.84%	0.47%	0.62%	0.32%
59	1.21%	1.66%	0.77%	0.43%	0.57%	0.29%
58	1.1%	1.53%	0.7%	0.4%	0.52%	0.27%
57	1.03%	1.4%	0.64%	0.36%	0.47%	0.25%
56	0.97%	1.29%	0.58%	0.33%	0.43%	0.23%
55	0.89%	1.19%	0.52%	0.3%	0.39%	0.21%
54	0.82%	1.09%	0.48%	0.27%	0.35%	0.19%
53	0.77%	1%	0.47%	0.25%	0.31%	0.18%
52	0.71%	0.91%	0.46%	0.22%	0.28%	0.16%
51	0.66%	0.83%	0.44%	0.2%	0.25%	0.15%
50	0.62%	0.77%	0.42%	0.18%	0.23%	0.13%
49	0.58%	0.72%	0.39%	0.16%	0.2%	0.12%
48	0.54%	0.69%	0.34%	0.14%	0.18%	0.11%
47	0.51%	0.66%	0.3%	0.13%	0.16%	0.1%
46	0.48%	0.63%	0.25%	0.12%	0.15%	0.09%
45	0.44%	0.61%	0.21%	0.11%	0.14%	0.08%
44	0.42%	0.57%	0.18%	0.1%	0.12%	0.07%
43	0.38%	0.51%	0.15%	0.09%	0.11%	0.06%
42	0.33%	0.45%	0.14%	0.08%	0.1%	0.05%
41	0.29%	0.38%	0.14%	0.07%	0.09%	0.05%
40	0.25%	0.32%	0.14%	0.06%	0.08%	0.04%
39	0.23%	0.27%	0.15%	0.06%	0.07%	0.04%
38	0.21%	0.24%	0.16%	0.05%	0.07%	0.03%
37	0.2%	0.22%	0.17%	0.05%	0.06%	0.03%
36	0.2%	0.21%	0.18%	0.04%	0.05%	0.03%
35	0.2%	0.22%	0.18%	0.04%	0.05%	0.03%
34	0.2%	0.22%	0.17%	0.04%	0.05%	0.02%
33	0.2%	0.23%	0.16%	0.03%	0.04%	0.02%
32	0.2%	0.23%	0.14%	0.03%	0.04%	0.02%
31	0.19%	0.22%	0.13%	0.03%	0.04%	0.02%
30	0.17%	0.21%	0.12%	0.03%	0.04%	0.02%
29	0.16%	0.19%	0.11%	0.03%	0.04%	0.02%
28	0.14%	0.17%	0.1%	0.03%	0.03%	0.02%
27	0.14%	0.16%	0.1%	0.02%	0.03%	0.02%
26	0.13%	0.16%	0.1%	0.02%	0.03%	0.01%
25	0.13%	0.15%	0.11%	0.02%	0.03%	0.01%
24	0.13%	0.15%	0.11%	0.02%	0.03%	0.01%
23	0.13%	0.15%	0.1%	0.02%	0.03%	0.01%
22	0.12%	0.15%	0.08%	0.02%	0.03%	0.01%
21	0.1%	0.14%	0.06%	0.02%	0.03%	0.01%
20	0.09%	0.13%	0.04%	0.02%	0.03%	0.01%
19	0.07%	0.11%	0.03%	0.02%	0.03%	0.01%
18	0.06%	0.1%	0.02%	0.02%	0.02%	0.01%
17	0.05%	0.08%	0.02%	0.02%	0.02%	0.01%
16	0.04%	0.06%	0.02%	0.02%	0.02%	0.01%
15	0.03%	0.05%	0.01%	0.01%	0.02%	0.01%
14	0.03%	0.04%	0.01%	0.01%	0.01%	0.009%
13	0.02%	0.03%	0.02%	0.01%	0.01%	0.008%
12	0.02%	0.03%	0.02%	0.008%	0.01%	0.007%
11	0.02%	0.03%	0.02%	0.007%	0.008%	0.006%
10	0.02%	0.02%	0.02%	0.006%	0.007%	0.005%
9	0.02%	0.02%	0.02%	0.005%	0.006%	0.004%
8	0.02%	0.03%	0.02%	0.005%	0.006%	0.004%
7	0.03%	0.03%	0.02%	0.005%	0.006%	0.004%
6	0.03%	0.03%	0.03%	0.005%	0.006%	0.004%
5	0.03%	0.04%	0.03%	0.006%	0.007%	0.004%
4	0.04%	0.04%	0.04%	0.007%	0.008%	0.006%
3	0.05%	0.05%	0.05%	0.009%	0.01%	0.008%
2	0.06%	0.06%	0.06%	0.01%	0.01%	0.01%
1	0.07%	0.07%	0.07%	0.02%	0.02%	0.02%
0	0.97%	1.06%	0.87%	0.17%	0.19%	0.14%

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

The annual chance of dying is 0.97% in the birth year in the Seychelles and 0.17% in Singapore, 0.17% vs 0.03% at age 30, 1.32% vs 0.47% at 60, and 8.1% vs 3.75% at 80.

Death rate by age in Seychelles vs Singapore

Chart Table

Seychelles

Male

Female

Singapore

Male

Female

1x

Age	Death rate
	Seychelles			Singapore
	Total	Male	Female	Total	Male	Female
100	45	0	91.5	1,375	708	2,002
99	218.8	106.3	345	1,718	1,055	2,345
98	318	159.6	496	2,071	1,349	2,766
97	449	231.9	687	2,433	1,673	3,170
96	609	327	921	2,786	2,015	3,537
95	795	447	1,195	3,109	2,358	3,843
94	1,013	594	1,505	3,402	2,698	4,098
93	1,260	769	1,840	3,651	3,024	4,291
92	1,520	965	2,186	3,852	3,319	4,419
91	1,791	1,179	2,532	3,998	3,565	4,473
90	2,062	1,406	2,867	4,078	3,743	4,442
89	2,315	1,640	3,175	4,096	3,860	4,349
88	2,550	1,873	3,443	4,046	3,920	4,204
87	2,758	2,101	3,659	3,941	3,923	4,013
86	2,937	2,315	3,814	3,806	3,881	3,793
85	3,088	2,512	3,906	3,646	3,801	3,554
84	3,218	2,686	3,937	3,470	3,689	3,306
83	3,318	2,833	3,912	3,286	3,550	3,053
82	3,344	2,950	3,840	3,084	3,390	2,802
81	3,319	3,035	3,729	2,873	3,214	2,556
80	3,283	3,090	3,586	2,666	3,031	2,319
79	3,240	3,116	3,421	2,465	2,850	2,096
78	3,162	3,115	3,238	2,274	2,675	1,886
77	3,057	3,090	3,043	2,096	2,508	1,689
76	2,965	3,045	2,841	1,927	2,348	1,508
75	2,868	2,983	2,638	1,767	2,194	1,343
74	2,718	2,908	2,441	1,619	2,043	1,196
73	2,569	2,821	2,251	1,480	1,891	1,065
72	2,457	2,724	2,072	1,345	1,738	949
71	2,326	2,620	1,904	1,215	1,586	848
70	2,179	2,511	1,748	1,098	1,439	759
69	2,059	2,400	1,604	996	1,303	682
68	1,942	2,287	1,471	905	1,180	615
67	1,811	2,174	1,348	822	1,071	557
66	1,683	2,061	1,237	749	977	506
65	1,565	1,948	1,139	685	894	462
64	1,450	1,839	1,051	628	821	423
63	1,354	1,732	967	578	755	389
62	1,271	1,628	889	532	694	359
61	1,183	1,527	817	489	638	331
60	1,100	1,430	750	450	585	307
59	1,023	1,338	688	413	535	284.1
58	944	1,251	630	379	490	263.2
57	888	1,167	579	347	447	243.5
56	843	1,087	531	318	408	224.9
55	784	1,013	482	290.8	371	207
54	730	941	447	265.1	337	189.9
53	684	867	435	240.5	304	173.4
52	639	799	428	217.2	273.9	157.6
51	601	738	416	195.5	245.8	142.8
50	567	689	396	175.7	220.2	128.9
49	532	651	365	157.8	197.6	116.1
48	502	623	326	142.1	178	104.5
47	474	601	281.1	128.5	161.4	94.1
46	444	582	236.3	116.6	147	84.6
45	415	559	197.6	106	134.4	75.9
44	391	525	167.7	96	122.6	67.8
43	359	479	147.3	86.6	111.5	60.1
42	316	420	136.2	77.7	100.6	53
41	275.9	358	133.2	69.3	90.3	46.5
40	242.1	302	136.8	61.8	80.7	40.9
39	216.2	256.8	145.4	55.2	72.2	36.2
38	200.4	225.7	156.4	49.6	65	32.4
37	193.3	208.7	166.9	45.2	59.1	29.6
36	192.2	203.5	173.6	41.8	54.3	27.4
35	194.5	206.7	174.3	39.1	50.5	25.8
34	196.8	214.2	168	36.7	47.3	24.4
33	195.4	220.9	156.2	34.7	44.5	23
32	189.8	221.8	141.2	32.7	41.9	21.6
31	179.9	214.5	126.1	30.7	39.5	20.1
30	165.8	200.9	113	28.8	37.2	18.6
29	151.7	184.1	103.5	27.1	35	17.2
28	140.9	169	98.7	25.6	33.2	16.1
27	133.5	157.9	98.1	24.4	31.7	15.2
26	129.9	151.5	100.8	23.5	30.6	14.6
25	129.3	149	103.9	22.8	29.8	14.2
24	128.3	148.5	103.5	22.3	29.2	13.8
23	123.3	147.9	95.2	21.9	28.8	13.5
22	114.1	145.1	80.1	21.5	28.5	13.1
21	101.4	138.2	61.5	21	28.1	12.7
20	86.9	126.9	44	20.3	27.5	12.1
19	72.3	111.5	31.3	19.4	26.3	11.6
18	59.1	94.3	23	18.2	24.5	11.1
17	47.7	77.1	18	16.7	22.3	10.7
16	38.6	61.6	15.4	15.1	19.6	10.2
15	31.9	49	14.4	13.3	16.7	9.71
14	27	39.3	14.3	11.6	14	8.96
13	23.9	32.5	14.9	9.84	11.6	7.95
12	22.1	28	15.8	8.25	9.63	6.8
11	21.3	25.4	16.9	6.9	8.1	5.64
10	21.3	24.3	18	5.86	6.99	4.67
9	22	24.5	19.3	5.15	6.29	3.97
8	23.3	25.6	20.8	4.79	5.95	3.58
7	25.5	27.9	22.9	4.75	5.96	3.5
6	28.7	31.4	26	5.08	6.34	3.77
5	33.4	36.1	30.5	5.83	7.13	4.47
4	39.5	42	36.8	7.11	8.39	5.79
3	47.3	49.3	45.3	9.12	10.2	7.97
2	57.5	58.3	56.8	12.1	12.7	11.5
1	70.5	69.1	71.9	16.5	15.9	17.1
0	967	1,060	872	168.8	194.6	141.6

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 89 in Singapore. The median age of death is 77 in the Seychelles and 86.5 in Singapore, 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 Singapore more than their death rates.

Life expectancy in other countries

+ -

1x