Life Expectancy in Seychelles vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Seychelles

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Seychelles			South Africa
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	103.4	103.1	103.5
99	101.1	100.9	101.1	102.5	102.3	102.6
98	100.2	100	100.2	101.7	101.5	101.7
97	99.3	99.2	99.3	100.8	100.7	100.9
96	98.4	98.3	98.5	100	99.9	100
95	97.6	97.4	97.6	99.2	99.1	99.2
94	96.8	96.6	96.8	98.4	98.3	98.4
93	95.9	95.7	96	97.6	97.5	97.7
92	95.1	94.9	95.2	96.9	96.7	96.9
91	94.4	94.1	94.5	96.1	96	96.2
90	93.6	93.3	93.7	95.4	95.2	95.5
89	92.9	92.5	93	94.7	94.4	94.8
88	92.1	91.8	92.3	94	93.7	94.1
87	91.4	91	91.6	93.3	92.9	93.4
86	90.7	90.3	90.9	92.6	92.2	92.7
85	90.1	89.6	90.3	91.9	91.5	92.1
84	89.4	88.9	89.7	91.3	90.8	91.5
83	88.8	88.2	89.1	90.6	90.1	90.9
82	88.1	87.5	88.5	90	89.4	90.3
81	87.6	86.9	88	89.4	88.7	89.7
80	87	86.2	87.5	88.8	88	89.1
79	86.4	85.6	87	88.1	87.4	88.5
78	85.9	85	86.5	87.5	86.7	88
77	85.4	84.5	86.1	86.9	86	87.4
76	84.9	83.9	85.6	86.3	85.3	86.9
75	84.4	83.4	85.3	85.7	84.7	86.4
74	83.9	82.9	84.9	85.2	84	85.9
73	83.5	82.4	84.5	84.6	83.4	85.4
72	83.1	81.9	84.2	84.1	82.8	84.9
71	82.7	81.4	83.9	83.6	82.2	84.5
70	82.3	80.9	83.6	83.1	81.7	84.1
69	81.9	80.5	83.3	82.6	81.1	83.6
68	81.5	80.1	83	82.1	80.5	83.2
67	81.2	79.7	82.8	81.6	80	82.8
66	80.9	79.3	82.5	81.2	79.4	82.4
65	80.6	78.9	82.3	80.7	78.9	82.1
64	80.3	78.5	82.1	80.3	78.4	81.7
63	80	78.2	81.9	79.9	77.9	81.4
62	79.7	77.9	81.7	79.4	77.4	81
61	79.4	77.5	81.5	79	76.9	80.7
60	79.2	77.2	81.3	78.7	76.5	80.4
59	79	76.9	81.1	78.3	76	80.1
58	78.7	76.7	81	77.9	75.6	79.8
57	78.5	76.4	80.8	77.5	75.2	79.5
56	78.3	76.1	80.7	77.2	74.8	79.2
55	78.1	75.9	80.6	76.9	74.4	78.9
54	77.9	75.7	80.4	76.5	74	78.7
53	77.7	75.4	80.3	76.2	73.6	78.4
52	77.5	75.2	80.2	75.9	73.3	78.2
51	77.4	75	80	75.6	72.9	77.9
50	77.2	74.8	79.9	75.3	72.6	77.7
49	77	74.7	79.8	75	72.2	77.4
48	76.9	74.5	79.7	74.7	71.9	77.2
47	76.7	74.3	79.6	74.4	71.6	77
46	76.6	74.1	79.5	74.2	71.3	76.7
45	76.4	73.9	79.5	73.9	71	76.5
44	76.3	73.8	79.4	73.6	70.7	76.3
43	76.2	73.6	79.3	73.4	70.4	76.1
42	76.1	73.5	79.3	73.1	70.2	75.8
41	76	73.4	79.2	72.9	69.9	75.6
40	75.9	73.3	79.2	72.6	69.7	75.4
39	75.8	73.2	79.1	72.4	69.4	75.2
38	75.7	73.1	79	72.2	69.2	75
37	75.7	73	79	72	68.9	74.8
36	75.6	72.9	78.9	71.8	68.7	74.6
35	75.5	72.8	78.8	71.6	68.5	74.5
34	75.4	72.8	78.7	71.4	68.3	74.3
33	75.3	72.7	78.7	71.2	68.1	74.1
32	75.2	72.6	78.6	71	67.9	73.9
31	75.2	72.5	78.5	70.8	67.7	73.8
30	75.1	72.4	78.5	70.6	67.5	73.6
29	75	72.3	78.4	70.4	67.3	73.5
28	74.9	72.2	78.4	70.3	67.1	73.3
27	74.9	72.2	78.3	70.1	66.9	73.2
26	74.8	72.1	78.3	70	66.8	73.1
25	74.7	72	78.2	69.9	66.6	73
24	74.7	72	78.2	69.7	66.5	72.9
23	74.6	71.9	78.1	69.6	66.3	72.8
22	74.6	71.8	78.1	69.5	66.2	72.7
21	74.5	71.7	78	69.4	66.1	72.6
20	74.5	71.7	78	69.3	66	72.6
19	74.4	71.6	78	69.2	65.9	72.5
18	74.4	71.6	78	69.2	65.8	72.4
17	74.4	71.5	78	69.1	65.7	72.4
16	74.3	71.5	78	69	65.7	72.3
15	74.3	71.5	78	69	65.6	72.3
14	74.3	71.4	77.9	68.9	65.6	72.3
13	74.3	71.4	77.9	68.9	65.5	72.2
12	74.3	71.4	77.9	68.9	65.5	72.2
11	74.3	71.4	77.9	68.9	65.5	72.2
10	74.2	71.4	77.9	68.8	65.4	72.2
9	74.2	71.3	77.9	68.8	65.4	72.1
8	74.2	71.3	77.9	68.8	65.4	72.1
7	74.2	71.3	77.9	68.8	65.4	72.1
6	74.2	71.3	77.8	68.7	65.3	72.1
5	74.1	71.3	77.8	68.7	65.3	72
4	74.1	71.2	77.8	68.6	65.2	72
3	74.1	71.2	77.8	68.5	65.1	71.9
2	74	71.2	77.7	68.4	64.9	71.8
1	74	71.1	77.7	68.1	64.7	71.5
0	73.3	70.4	77	66.7	63.1	70.2

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 70.6 in South Africa, rising to 80.6 and 80.7 at 65, and to 87 and 88.8 at 80 — higher than the 73.3 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Seychelles

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Seychelles			South Africa
	Average	Male	Female	Average	Male	Female
100	0.38%	0.17%	0.6%	1.63%	1%	2.22%
99	0.6%	0.28%	0.95%	2.11%	1.28%	2.88%
98	0.91%	0.44%	1.44%	2.68%	1.62%	3.67%
97	1.36%	0.67%	2.13%	3.36%	2.02%	4.59%
96	1.97%	0.99%	3.05%	4.15%	2.5%	5.67%
95	2.77%	1.44%	4.25%	5.06%	3.06%	6.91%
94	3.78%	2.03%	5.75%	6.09%	3.7%	8.3%
93	5.04%	2.8%	7.59%	7.24%	4.43%	9.84%
92	6.56%	3.77%	9.78%	8.49%	5.25%	11.5%
91	8.35%	4.95%	12.3%	9.86%	6.16%	13.3%
90	10.4%	6.35%	15.2%	11.3%	7.18%	15.2%
89	12.7%	7.99%	18.4%	12.9%	8.29%	17.3%
88	15.3%	9.87%	21.8%	14.6%	9.51%	19.4%
87	18%	12%	25.5%	16.4%	10.8%	21.7%
86	21%	14.3%	29.3%	18.2%	12.2%	24%
85	24.1%	16.8%	33.2%	20.1%	13.7%	26.3%
84	27.3%	19.5%	37.1%	22.1%	15.2%	28.6%
83	30.6%	22.3%	41%	24%	16.8%	31%
82	33.9%	25.3%	44.9%	26%	18.5%	33.4%
81	37.3%	28.3%	48.6%	28.1%	20.2%	35.8%
80	40.5%	31.4%	52.2%	30.2%	22%	38.2%
79	43.8%	34.5%	55.6%	32.3%	23.9%	40.6%
78	46.9%	37.6%	58.8%	34.6%	25.9%	43%
77	50%	40.7%	61.9%	36.8%	28%	45.4%
76	53%	43.8%	64.7%	39%	30.1%	47.7%
75	55.8%	46.7%	67.4%	41.2%	32.3%	50%
74	58.6%	49.6%	69.8%	43.4%	34.4%	52.1%
73	61.1%	52.5%	72.1%	45.5%	36.6%	54.2%
72	63.6%	55.2%	74.1%	47.5%	38.7%	56.2%
71	65.9%	57.8%	76%	49.6%	40.8%	58.2%
70	68.1%	60.3%	77.8%	51.6%	42.9%	60%
69	70.1%	62.7%	79.4%	53.5%	45.1%	61.9%
68	72.1%	65%	80.8%	55.5%	47.2%	63.6%
67	73.9%	67.2%	82.2%	57.3%	49.3%	65.3%
66	75.6%	69.2%	83.4%	59.2%	51.4%	66.8%
65	77.1%	71.2%	84.6%	60.9%	53.4%	68.3%
64	78.6%	73%	85.6%	62.6%	55.4%	69.8%
63	79.9%	74.8%	86.6%	64.2%	57.3%	71.1%
62	81.2%	76.4%	87.5%	65.7%	59.1%	72.4%
61	82.4%	77.9%	88.3%	67.2%	60.9%	73.6%
60	83.5%	79.3%	89%	68.7%	62.6%	74.7%
59	84.5%	80.7%	89.7%	70%	64.3%	75.9%
58	85.5%	81.9%	90.4%	71.4%	65.9%	76.9%
57	86.4%	83.1%	90.9%	72.7%	67.5%	78%
56	87.2%	84.2%	91.5%	73.9%	69%	78.9%
55	88%	85.2%	92%	75.1%	70.5%	79.9%
54	88.7%	86.1%	92.4%	76.2%	71.9%	80.7%
53	89.4%	87%	92.8%	77.3%	73.2%	81.6%
52	90%	87.8%	93.3%	78.4%	74.5%	82.4%
51	90.6%	88.6%	93.7%	79.4%	75.7%	83.1%
50	91.2%	89.2%	94.1%	80.3%	76.9%	83.9%
49	91.7%	89.9%	94.4%	81.2%	78%	84.6%
48	92.2%	90.5%	94.8%	82.1%	79.1%	85.3%
47	92.7%	91.1%	95.1%	83%	80.1%	85.9%
46	93.2%	91.7%	95.3%	83.8%	81.1%	86.6%
45	93.6%	92.3%	95.5%	84.6%	82%	87.2%
44	94%	92.8%	95.7%	85.3%	82.9%	87.8%
43	94.3%	93.3%	95.8%	86%	83.7%	88.4%
42	94.6%	93.7%	95.9%	86.7%	84.5%	89%
41	94.9%	94%	96.1%	87.4%	85.3%	89.6%
40	95.2%	94.3%	96.2%	88.1%	86%	90.1%
39	95.4%	94.6%	96.4%	88.7%	86.7%	90.6%
38	95.6%	94.8%	96.5%	89.2%	87.4%	91.1%
37	95.8%	95%	96.7%	89.8%	88.1%	91.6%
36	96%	95.2%	96.8%	90.4%	88.7%	92%
35	96.2%	95.4%	97%	90.9%	89.3%	92.5%
34	96.3%	95.7%	97.2%	91.4%	89.9%	92.9%
33	96.5%	95.9%	97.3%	91.8%	90.4%	93.3%
32	96.7%	96.1%	97.5%	92.3%	91%	93.6%
31	96.9%	96.3%	97.6%	92.7%	91.5%	94%
30	97.1%	96.5%	97.7%	93.1%	91.9%	94.3%
29	97.2%	96.7%	97.8%	93.5%	92.4%	94.6%
28	97.4%	96.9%	97.9%	93.9%	92.8%	94.9%
27	97.5%	97%	98%	94.2%	93.2%	95.2%
26	97.6%	97.2%	98.1%	94.5%	93.6%	95.4%
25	97.8%	97.3%	98.2%	94.8%	94%	95.7%
24	97.9%	97.5%	98.3%	95.1%	94.3%	95.9%
23	98%	97.6%	98.4%	95.3%	94.6%	96%
22	98.1%	97.8%	98.5%	95.5%	94.9%	96.2%
21	98.2%	97.9%	98.6%	95.7%	95.1%	96.3%
20	98.3%	98%	98.6%	95.9%	95.4%	96.5%
19	98.4%	98.1%	98.6%	96.1%	95.6%	96.6%
18	98.5%	98.2%	98.7%	96.2%	95.7%	96.7%
17	98.5%	98.3%	98.7%	96.3%	95.9%	96.8%
16	98.5%	98.4%	98.7%	96.4%	96%	96.9%
15	98.6%	98.4%	98.7%	96.5%	96.1%	97%
14	98.6%	98.5%	98.7%	96.6%	96.2%	97%
13	98.6%	98.5%	98.7%	96.6%	96.2%	97.1%
12	98.6%	98.5%	98.8%	96.7%	96.3%	97.1%
11	98.7%	98.6%	98.8%	96.7%	96.3%	97.1%
10	98.7%	98.6%	98.8%	96.8%	96.4%	97.2%
9	98.7%	98.6%	98.8%	96.8%	96.4%	97.2%
8	98.7%	98.6%	98.8%	96.8%	96.5%	97.2%
7	98.8%	98.7%	98.9%	96.9%	96.5%	97.3%
6	98.8%	98.7%	98.9%	96.9%	96.6%	97.3%
5	98.8%	98.7%	98.9%	97%	96.7%	97.4%
4	98.9%	98.8%	99%	97.1%	96.8%	97.4%
3	98.9%	98.8%	99%	97.2%	96.9%	97.6%
2	99%	98.9%	99.1%	97.5%	97.2%	97.8%
1	99%	98.9%	99.1%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 83.5% of newborns in the Seychelles and 68.7% in South Africa are expected to live past 60, 68.1% and 51.6% past 70, 40.5% and 30.2% past 80, and only 10.4% and 11.3% 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

South Africa

Male

Female

1x

Age	Probability of dying
	Seychelles			South Africa
	Average	Male	Female	Average	Male	Female
100	38.8%	40.4%	38.5%	23.6%	22.9%	23.9%
99	36.8%	38.5%	36.4%	22.5%	22%	22.8%
98	34.9%	36.7%	34.3%	21.3%	21%	21.5%
97	32.9%	34.8%	32.2%	20.2%	20%	20.2%
96	30.9%	32.9%	30.2%	19%	19.1%	19%
95	28.8%	31%	28.1%	18%	18.2%	17.9%
94	26.8%	29.2%	26.2%	16.9%	17.3%	16.8%
93	25%	27.4%	24.2%	15.9%	16.5%	15.6%
92	23.2%	25.6%	22.4%	14.8%	15.6%	14.5%
91	21.5%	23.8%	20.6%	13.8%	14.8%	13.5%
90	19.8%	22.1%	18.9%	13%	14.1%	12.6%
89	18.2%	20.5%	17.3%	12.3%	13.5%	11.8%
88	16.7%	19%	15.8%	11.5%	12.8%	11.1%
87	15.3%	17.6%	14.4%	10.8%	12.1%	10.3%
86	14%	16.2%	13%	10.1%	11.4%	9.6%
85	12.8%	15%	11.8%	9.43%	10.7%	8.88%
84	11.8%	13.8%	10.6%	8.78%	10%	8.21%
83	10.8%	12.7%	9.54%	8.21%	9.46%	7.62%
82	9.85%	11.7%	8.56%	7.71%	8.97%	7.1%
81	8.91%	10.7%	7.67%	7.3%	8.57%	6.66%
80	8.1%	9.84%	6.87%	6.96%	8.26%	6.28%
79	7.4%	9.03%	6.15%	6.67%	8%	5.94%
78	6.74%	8.28%	5.5%	6.37%	7.73%	5.61%
77	6.11%	7.59%	4.92%	6.06%	7.42%	5.26%
76	5.6%	6.96%	4.39%	5.71%	7.05%	4.89%
75	5.14%	6.38%	3.92%	5.35%	6.64%	4.53%
74	4.64%	5.86%	3.5%	4.98%	6.22%	4.17%
73	4.2%	5.38%	3.12%	4.64%	5.83%	3.85%
72	3.86%	4.94%	2.79%	4.34%	5.49%	3.57%
71	3.53%	4.53%	2.5%	4.09%	5.2%	3.33%
70	3.2%	4.16%	2.25%	3.87%	4.95%	3.12%
69	2.94%	3.83%	2.02%	3.67%	4.72%	2.92%
68	2.69%	3.52%	1.82%	3.48%	4.5%	2.74%
67	2.45%	3.24%	1.64%	3.28%	4.28%	2.55%
66	2.23%	2.98%	1.48%	3.08%	4.04%	2.37%
65	2.03%	2.74%	1.35%	2.88%	3.79%	2.19%
64	1.85%	2.52%	1.23%	2.68%	3.55%	2.03%
63	1.69%	2.32%	1.12%	2.5%	3.32%	1.88%
62	1.57%	2.13%	1.02%	2.34%	3.11%	1.75%
61	1.44%	1.96%	0.92%	2.2%	2.93%	1.65%
60	1.32%	1.8%	0.84%	2.08%	2.76%	1.55%
59	1.21%	1.66%	0.77%	1.98%	2.61%	1.47%
58	1.1%	1.53%	0.7%	1.88%	2.47%	1.39%
57	1.03%	1.4%	0.64%	1.78%	2.33%	1.32%
56	0.97%	1.29%	0.58%	1.68%	2.2%	1.24%
55	0.89%	1.19%	0.52%	1.58%	2.07%	1.16%
54	0.82%	1.09%	0.48%	1.49%	1.94%	1.09%
53	0.77%	1%	0.47%	1.4%	1.83%	1.02%
52	0.71%	0.91%	0.46%	1.32%	1.72%	0.96%
51	0.66%	0.83%	0.44%	1.25%	1.62%	0.91%
50	0.62%	0.77%	0.42%	1.19%	1.52%	0.87%
49	0.58%	0.72%	0.39%	1.13%	1.44%	0.84%
48	0.54%	0.69%	0.34%	1.08%	1.35%	0.8%
47	0.51%	0.66%	0.3%	1.03%	1.28%	0.78%
46	0.48%	0.63%	0.25%	0.98%	1.2%	0.75%
45	0.44%	0.61%	0.21%	0.93%	1.13%	0.73%
44	0.42%	0.57%	0.18%	0.88%	1.07%	0.7%
43	0.38%	0.51%	0.15%	0.84%	1.01%	0.68%
42	0.33%	0.45%	0.14%	0.8%	0.95%	0.65%
41	0.29%	0.38%	0.14%	0.76%	0.9%	0.63%
40	0.25%	0.32%	0.14%	0.73%	0.86%	0.6%
39	0.23%	0.27%	0.15%	0.69%	0.82%	0.57%
38	0.21%	0.24%	0.16%	0.66%	0.78%	0.54%
37	0.2%	0.22%	0.17%	0.63%	0.74%	0.51%
36	0.2%	0.21%	0.18%	0.6%	0.71%	0.49%
35	0.2%	0.22%	0.18%	0.57%	0.67%	0.46%
34	0.2%	0.22%	0.17%	0.54%	0.64%	0.44%
33	0.2%	0.23%	0.16%	0.51%	0.61%	0.42%
32	0.2%	0.23%	0.14%	0.49%	0.58%	0.4%
31	0.19%	0.22%	0.13%	0.46%	0.55%	0.38%
30	0.17%	0.21%	0.12%	0.44%	0.52%	0.36%
29	0.16%	0.19%	0.11%	0.41%	0.5%	0.33%
28	0.14%	0.17%	0.1%	0.39%	0.47%	0.31%
27	0.14%	0.16%	0.1%	0.36%	0.44%	0.28%
26	0.13%	0.16%	0.1%	0.33%	0.41%	0.25%
25	0.13%	0.15%	0.11%	0.3%	0.38%	0.23%
24	0.13%	0.15%	0.11%	0.28%	0.35%	0.2%
23	0.13%	0.15%	0.1%	0.25%	0.32%	0.18%
22	0.12%	0.15%	0.08%	0.23%	0.29%	0.17%
21	0.1%	0.14%	0.06%	0.21%	0.26%	0.15%
20	0.09%	0.13%	0.04%	0.19%	0.23%	0.14%
19	0.07%	0.11%	0.03%	0.16%	0.2%	0.13%
18	0.06%	0.1%	0.02%	0.14%	0.18%	0.11%
17	0.05%	0.08%	0.02%	0.12%	0.15%	0.1%
16	0.04%	0.06%	0.02%	0.11%	0.12%	0.09%
15	0.03%	0.05%	0.01%	0.09%	0.1%	0.07%
14	0.03%	0.04%	0.01%	0.07%	0.09%	0.06%
13	0.02%	0.03%	0.02%	0.06%	0.07%	0.05%
12	0.02%	0.03%	0.02%	0.05%	0.06%	0.04%
11	0.02%	0.03%	0.02%	0.04%	0.05%	0.04%
10	0.02%	0.02%	0.02%	0.04%	0.05%	0.03%
9	0.02%	0.02%	0.02%	0.04%	0.05%	0.03%
8	0.02%	0.03%	0.02%	0.04%	0.05%	0.03%
7	0.03%	0.03%	0.02%	0.04%	0.05%	0.04%
6	0.03%	0.03%	0.03%	0.05%	0.06%	0.04%
5	0.03%	0.04%	0.03%	0.07%	0.08%	0.06%
4	0.04%	0.04%	0.04%	0.1%	0.11%	0.08%
3	0.05%	0.05%	0.05%	0.15%	0.17%	0.12%
2	0.06%	0.06%	0.06%	0.22%	0.25%	0.2%
1	0.07%	0.07%	0.07%	0.35%	0.38%	0.32%
0	0.97%	1.06%	0.87%	2.19%	2.44%	1.93%

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

The annual chance of dying is 0.97% in the birth year in the Seychelles and 2.19% in South Africa, 0.17% vs 0.44% at age 30, 1.32% vs 2.08% at 60, and 8.1% vs 6.96% at 80.

Death rate by age in Seychelles vs South Africa

Chart Table

Seychelles

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Seychelles			South Africa
	Total	Male	Female	Total	Male	Female
100	45	0	91.5	359	204.6	501
99	218.8	106.3	345	475	280.8	655
98	318	159.6	496	572	340	787
97	449	231.9	687	677	406	928
96	609	327	921	789	478	1,077
95	795	447	1,195	909	558	1,236
94	1,013	594	1,505	1,031	642	1,393
93	1,260	769	1,840	1,148	729	1,540
92	1,520	965	2,186	1,257	818	1,670
91	1,791	1,179	2,532	1,363	912	1,794
90	2,062	1,406	2,867	1,476	1,014	1,924
89	2,315	1,640	3,175	1,585	1,118	2,045
88	2,550	1,873	3,443	1,686	1,220	2,150
87	2,758	2,101	3,659	1,775	1,315	2,238
86	2,937	2,315	3,814	1,845	1,397	2,299
85	3,088	2,512	3,906	1,897	1,467	2,335
84	3,218	2,686	3,937	1,937	1,530	2,353
83	3,318	2,833	3,912	1,972	1,591	2,363
82	3,344	2,950	3,840	2,008	1,656	2,371
81	3,319	3,035	3,729	2,052	1,732	2,383
80	3,283	3,090	3,586	2,102	1,819	2,399
79	3,240	3,116	3,421	2,156	1,914	2,411
78	3,162	3,115	3,238	2,202	2,006	2,410
77	3,057	3,090	3,043	2,228	2,080	2,386
76	2,965	3,045	2,841	2,228	2,126	2,335
75	2,868	2,983	2,638	2,204	2,144	2,262
74	2,718	2,908	2,441	2,161	2,141	2,176
73	2,569	2,821	2,251	2,112	2,132	2,089
72	2,457	2,724	2,072	2,066	2,123	2,008
71	2,326	2,620	1,904	2,028	2,121	1,936
70	2,179	2,511	1,748	1,997	2,124	1,871
69	2,059	2,400	1,604	1,966	2,128	1,807
68	1,942	2,287	1,471	1,929	2,124	1,740
67	1,811	2,174	1,348	1,882	2,108	1,667
66	1,683	2,061	1,237	1,822	2,074	1,585
65	1,565	1,948	1,139	1,752	2,025	1,500
64	1,450	1,839	1,051	1,679	1,965	1,415
63	1,354	1,732	967	1,606	1,901	1,337
62	1,271	1,628	889	1,540	1,839	1,269
61	1,183	1,527	817	1,482	1,782	1,211
60	1,100	1,430	750	1,431	1,730	1,162
59	1,023	1,338	688	1,384	1,679	1,116
58	944	1,251	630	1,339	1,629	1,072
57	888	1,167	579	1,292	1,575	1,026
56	843	1,087	531	1,242	1,519	978
55	784	1,013	482	1,190	1,459	929
54	730	941	447	1,137	1,397	881
53	684	867	435	1,085	1,337	835
52	639	799	428	1,037	1,279	795
51	601	738	416	994	1,223	760
50	567	689	396	954	1,171	731
49	532	651	365	918	1,120	707
48	502	623	326	883	1,071	686
47	474	601	281.1	850	1,022	668
46	444	582	236.3	818	974	652
45	415	559	197.6	786	928	635
44	391	525	167.7	755	884	619
43	359	479	147.3	724	842	601
42	316	420	136.2	695	804	581
41	275.9	358	133.2	667	770	560
40	242.1	302	136.8	639	738	538
39	216.2	256.8	145.4	613	708	515
38	200.4	225.7	156.4	587	680	492
37	193.3	208.7	166.9	562	653	470
36	192.2	203.5	173.6	538	626	449
35	194.5	206.7	174.3	515	600	429
34	196.8	214.2	168	493	575	410
33	195.4	220.9	156.2	471	551	392
32	189.8	221.8	141.2	450	527	374
31	179.9	214.5	126.1	429	504	355
30	165.8	200.9	113	408	481	335
29	151.7	184.1	103.5	386	458	314
28	140.9	169	98.7	363	434	291.3
27	133.5	157.9	98.1	339	410	266.7
26	129.9	151.5	100.8	314	384	241.5
25	129.3	149	103.9	289.1	358	217.1
24	128.3	148.5	103.5	264.7	331	195.1
23	123.3	147.9	95.2	241.4	304	176
22	114.1	145.1	80.1	219.2	276.6	159.6
21	101.4	138.2	61.5	198.1	249	145.6
20	86.9	126.9	44	177.8	221.4	133.1
19	72.3	111.5	31.3	158	194.2	121.2
18	59.1	94.3	23	138.5	167.7	108.8
17	47.7	77.1	18	119.5	142.6	96
16	38.6	61.6	15.4	101.4	119.6	82.9
15	31.9	49	14.4	85	99.4	70.2
14	27	39.3	14.3	70.7	82.4	58.8
13	23.9	32.5	14.9	58.9	68.7	49
12	22.1	28	15.8	49.7	58.1	41.1
11	21.3	25.4	16.9	43	50.5	35.3
10	21.3	24.3	18	38.7	45.8	31.6
9	22	24.5	19.3	37	43.9	30
8	23.3	25.6	20.8	37.9	45.2	30.6
7	25.5	27.9	22.9	42.2	50.2	34.1
6	28.7	31.4	26	51.2	60.6	41.7
5	33.4	36.1	30.5	67.2	79	55.4
4	39.5	42	36.8	95.3	110.3	80
3	47.3	49.3	45.3	141.9	161.3	121.7
2	57.5	58.3	56.8	218.6	243.8	192.5
1	70.5	69.1	71.9	343	375	310
0	967	1,060	872	2,192	2,441	1,934

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 77 in South Africa. The median age of death is 77 in the Seychelles and 70.8 in South Africa, 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 South Africa more than their death rates.

Life expectancy in other countries

+ -

1x