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

Life expectancy by current age

Chart Table

Seychelles

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Seychelles			South Sudan
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.7	101.6	101.8
99	101.1	100.9	101.1	100.7	100.6	100.8
98	100.2	100	100.2	99.8	99.6	99.9
97	99.3	99.2	99.3	98.9	98.7	99
96	98.4	98.3	98.5	98.1	97.8	98.1
95	97.6	97.4	97.6	97.2	96.9	97.3
94	96.8	96.6	96.8	96.3	96	96.4
93	95.9	95.7	96	95.5	95.1	95.6
92	95.1	94.9	95.2	94.7	94.2	94.8
91	94.4	94.1	94.5	93.8	93.4	94
90	93.6	93.3	93.7	93	92.6	93.2
89	92.9	92.5	93	92.2	91.8	92.4
88	92.1	91.8	92.3	91.4	91	91.6
87	91.4	91	91.6	90.6	90.2	90.8
86	90.7	90.3	90.9	89.9	89.4	90.1
85	90.1	89.6	90.3	89.1	88.7	89.4
84	89.4	88.9	89.7	88.4	87.9	88.6
83	88.8	88.2	89.1	87.7	87.2	87.9
82	88.1	87.5	88.5	87	86.5	87.2
81	87.6	86.9	88	86.3	85.8	86.6
80	87	86.2	87.5	85.6	85.1	85.9
79	86.4	85.6	87	85	84.5	85.3
78	85.9	85	86.5	84.4	83.8	84.7
77	85.4	84.5	86.1	83.8	83.2	84.2
76	84.9	83.9	85.6	83.2	82.6	83.6
75	84.4	83.4	85.3	82.6	82	83.1
74	83.9	82.9	84.9	82.1	81.5	82.6
73	83.5	82.4	84.5	81.6	80.9	82.1
72	83.1	81.9	84.2	81.1	80.4	81.6
71	82.7	81.4	83.9	80.6	79.8	81.1
70	82.3	80.9	83.6	80.1	79.3	80.7
69	81.9	80.5	83.3	79.7	78.9	80.2
68	81.5	80.1	83	79.2	78.4	79.8
67	81.2	79.7	82.8	78.8	77.9	79.5
66	80.9	79.3	82.5	78.4	77.5	79.1
65	80.6	78.9	82.3	78	77.1	78.7
64	80.3	78.5	82.1	77.6	76.7	78.4
63	80	78.2	81.9	77.3	76.3	78.1
62	79.7	77.9	81.7	76.9	75.9	77.8
61	79.4	77.5	81.5	76.6	75.5	77.5
60	79.2	77.2	81.3	76.3	75.1	77.2
59	79	76.9	81.1	76	74.8	76.9
58	78.7	76.7	81	75.7	74.5	76.7
57	78.5	76.4	80.8	75.4	74.1	76.4
56	78.3	76.1	80.7	75.1	73.8	76.2
55	78.1	75.9	80.6	74.8	73.5	76
54	77.9	75.7	80.4	74.5	73.2	75.7
53	77.7	75.4	80.3	74.3	72.9	75.5
52	77.5	75.2	80.2	74	72.6	75.3
51	77.4	75	80	73.8	72.3	75.1
50	77.2	74.8	79.9	73.5	72	74.8
49	77	74.7	79.8	73.3	71.7	74.6
48	76.9	74.5	79.7	73	71.4	74.4
47	76.7	74.3	79.6	72.8	71.2	74.3
46	76.6	74.1	79.5	72.6	70.9	74.1
45	76.4	73.9	79.5	72.4	70.6	73.9
44	76.3	73.8	79.4	72.1	70.4	73.7
43	76.2	73.6	79.3	71.9	70.1	73.5
42	76.1	73.5	79.3	71.7	69.9	73.3
41	76	73.4	79.2	71.5	69.6	73.1
40	75.9	73.3	79.2	71.2	69.4	72.9
39	75.8	73.2	79.1	71	69.1	72.7
38	75.7	73.1	79	70.8	68.9	72.5
37	75.7	73	79	70.6	68.6	72.4
36	75.6	72.9	78.9	70.4	68.4	72.2
35	75.5	72.8	78.8	70.2	68.2	72
34	75.4	72.8	78.7	70	67.9	71.8
33	75.3	72.7	78.7	69.8	67.7	71.7
32	75.2	72.6	78.6	69.5	67.4	71.5
31	75.2	72.5	78.5	69.3	67.2	71.3
30	75.1	72.4	78.5	69.1	67	71.1
29	75	72.3	78.4	68.9	66.7	71
28	74.9	72.2	78.4	68.7	66.5	70.8
27	74.9	72.2	78.3	68.5	66.2	70.6
26	74.8	72.1	78.3	68.3	65.9	70.4
25	74.7	72	78.2	68	65.7	70.3
24	74.7	72	78.2	67.8	65.4	70.1
23	74.6	71.9	78.1	67.6	65.1	70
22	74.6	71.8	78.1	67.4	64.9	69.8
21	74.5	71.7	78	67.2	64.6	69.6
20	74.5	71.7	78	67	64.4	69.5
19	74.4	71.6	78	66.8	64.1	69.3
18	74.4	71.6	78	66.6	63.9	69.2
17	74.4	71.5	78	66.4	63.7	69
16	74.3	71.5	78	66.3	63.5	68.9
15	74.3	71.5	78	66.1	63.4	68.8
14	74.3	71.4	77.9	66	63.2	68.7
13	74.3	71.4	77.9	65.8	63.1	68.5
12	74.3	71.4	77.9	65.7	62.9	68.4
11	74.3	71.4	77.9	65.5	62.8	68.3
10	74.2	71.4	77.9	65.4	62.6	68.2
9	74.2	71.3	77.9	65.2	62.4	68
8	74.2	71.3	77.9	65	62.1	67.8
7	74.2	71.3	77.9	64.7	61.8	67.6
6	74.2	71.3	77.8	64.4	61.5	67.3
5	74.1	71.3	77.8	64	61.1	67
4	74.1	71.2	77.8	63.6	60.6	66.6
3	74.1	71.2	77.8	63.1	60.1	66.1
2	74	71.2	77.7	62.5	59.5	65.5
1	74	71.1	77.7	61.8	58.9	64.7
0	73.3	70.4	77	58	55	61

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 69.1 in South Sudan, rising to 80.6 and 78 at 65, and to 87 and 85.6 at 80 — higher than the 73.3 and 58 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 Sudan.

Probability of surviving to a given age

Chart Table

Seychelles

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Seychelles			South Sudan
	Average	Male	Female	Average	Male	Female
100	0.38%	0.17%	0.6%	0.06%	0.02%	0.1%
99	0.6%	0.28%	0.95%	0.1%	0.03%	0.17%
98	0.91%	0.44%	1.44%	0.17%	0.05%	0.28%
97	1.36%	0.67%	2.13%	0.27%	0.1%	0.44%
96	1.97%	0.99%	3.05%	0.43%	0.16%	0.67%
95	2.77%	1.44%	4.25%	0.64%	0.27%	1%
94	3.78%	2.03%	5.75%	0.94%	0.44%	1.44%
93	5.04%	2.8%	7.59%	1.35%	0.67%	2.01%
92	6.56%	3.77%	9.78%	1.87%	1%	2.73%
91	8.35%	4.95%	12.3%	2.54%	1.45%	3.62%
90	10.4%	6.35%	15.2%	3.37%	2.03%	4.7%
89	12.7%	7.99%	18.4%	4.38%	2.76%	5.98%
88	15.3%	9.87%	21.8%	5.58%	3.65%	7.47%
87	18%	12%	25.5%	6.96%	4.7%	9.18%
86	21%	14.3%	29.3%	8.54%	5.92%	11.1%
85	24.1%	16.8%	33.2%	10.3%	7.31%	13.2%
84	27.3%	19.5%	37.1%	12.3%	8.88%	15.6%
83	30.6%	22.3%	41%	14.4%	10.6%	18%
82	33.9%	25.3%	44.9%	16.6%	12.5%	20.6%
81	37.3%	28.3%	48.6%	18.9%	14.5%	23.3%
80	40.5%	31.4%	52.2%	21.3%	16.6%	26.1%
79	43.8%	34.5%	55.6%	23.8%	18.8%	28.8%
78	46.9%	37.6%	58.8%	26.3%	21%	31.6%
77	50%	40.7%	61.9%	28.8%	23.3%	34.3%
76	53%	43.8%	64.7%	31.3%	25.6%	36.9%
75	55.8%	46.7%	67.4%	33.7%	27.9%	39.6%
74	58.6%	49.6%	69.8%	36.2%	30.2%	42.1%
73	61.1%	52.5%	72.1%	38.5%	32.5%	44.6%
72	63.6%	55.2%	74.1%	40.8%	34.7%	46.9%
71	65.9%	57.8%	76%	43%	36.9%	49.2%
70	68.1%	60.3%	77.8%	45.1%	39%	51.3%
69	70.1%	62.7%	79.4%	47.1%	41%	53.3%
68	72.1%	65%	80.8%	49.1%	42.9%	55.2%
67	73.9%	67.2%	82.2%	50.9%	44.8%	57%
66	75.6%	69.2%	83.4%	52.6%	46.6%	58.7%
65	77.1%	71.2%	84.6%	54.2%	48.3%	60.2%
64	78.6%	73%	85.6%	55.8%	49.9%	61.7%
63	79.9%	74.8%	86.6%	57.3%	51.5%	63.1%
62	81.2%	76.4%	87.5%	58.6%	53%	64.3%
61	82.4%	77.9%	88.3%	59.9%	54.4%	65.5%
60	83.5%	79.3%	89%	61.1%	55.7%	66.6%
59	84.5%	80.7%	89.7%	62.3%	57%	67.6%
58	85.5%	81.9%	90.4%	63.3%	58.2%	68.6%
57	86.4%	83.1%	90.9%	64.4%	59.3%	69.5%
56	87.2%	84.2%	91.5%	65.3%	60.4%	70.3%
55	88%	85.2%	92%	66.3%	61.5%	71.1%
54	88.7%	86.1%	92.4%	67.2%	62.5%	71.9%
53	89.4%	87%	92.8%	68%	63.5%	72.7%
52	90%	87.8%	93.3%	68.9%	64.5%	73.4%
51	90.6%	88.6%	93.7%	69.7%	65.4%	74%
50	91.2%	89.2%	94.1%	70.4%	66.3%	74.7%
49	91.7%	89.9%	94.4%	71.1%	67.1%	75.3%
48	92.2%	90.5%	94.8%	71.8%	67.9%	75.8%
47	92.7%	91.1%	95.1%	72.5%	68.6%	76.4%
46	93.2%	91.7%	95.3%	73.1%	69.4%	76.9%
45	93.6%	92.3%	95.5%	73.7%	70.1%	77.4%
44	94%	92.8%	95.7%	74.3%	70.8%	77.9%
43	94.3%	93.3%	95.8%	74.9%	71.5%	78.4%
42	94.6%	93.7%	95.9%	75.5%	72.1%	78.9%
41	94.9%	94%	96.1%	76.1%	72.8%	79.4%
40	95.2%	94.3%	96.2%	76.6%	73.4%	79.9%
39	95.4%	94.6%	96.4%	77.1%	74%	80.3%
38	95.6%	94.8%	96.5%	77.6%	74.6%	80.8%
37	95.8%	95%	96.7%	78.1%	75.2%	81.2%
36	96%	95.2%	96.8%	78.6%	75.8%	81.6%
35	96.2%	95.4%	97%	79.1%	76.3%	82%
34	96.3%	95.7%	97.2%	79.6%	76.9%	82.4%
33	96.5%	95.9%	97.3%	80%	77.4%	82.7%
32	96.7%	96.1%	97.5%	80.5%	77.9%	83.1%
31	96.9%	96.3%	97.6%	80.9%	78.5%	83.5%
30	97.1%	96.5%	97.7%	81.4%	79%	83.8%
29	97.2%	96.7%	97.8%	81.8%	79.5%	84.2%
28	97.4%	96.9%	97.9%	82.2%	80.1%	84.5%
27	97.5%	97%	98%	82.7%	80.6%	84.9%
26	97.6%	97.2%	98.1%	83.1%	81.1%	85.2%
25	97.8%	97.3%	98.2%	83.5%	81.6%	85.5%
24	97.9%	97.5%	98.3%	84%	82.2%	85.8%
23	98%	97.6%	98.4%	84.4%	82.7%	86.1%
22	98.1%	97.8%	98.5%	84.8%	83.2%	86.4%
21	98.2%	97.9%	98.6%	85.2%	83.7%	86.7%
20	98.3%	98%	98.6%	85.6%	84.2%	87%
19	98.4%	98.1%	98.6%	85.9%	84.7%	87.2%
18	98.5%	98.2%	98.7%	86.2%	85.1%	87.5%
17	98.5%	98.3%	98.7%	86.5%	85.4%	87.7%
16	98.5%	98.4%	98.7%	86.8%	85.7%	87.9%
15	98.6%	98.4%	98.7%	87.1%	86%	88.2%
14	98.6%	98.5%	98.7%	87.3%	86.3%	88.4%
13	98.6%	98.5%	98.7%	87.5%	86.6%	88.5%
12	98.6%	98.5%	98.8%	87.8%	86.8%	88.7%
11	98.7%	98.6%	98.8%	88%	87.1%	88.9%
10	98.7%	98.6%	98.8%	88.3%	87.4%	89.1%
9	98.7%	98.6%	98.8%	88.6%	87.8%	89.4%
8	98.7%	98.6%	98.8%	88.9%	88.2%	89.7%
7	98.8%	98.7%	98.9%	89.3%	88.6%	90%
6	98.8%	98.7%	98.9%	89.8%	89.2%	90.4%
5	98.8%	98.7%	98.9%	90.3%	89.8%	90.9%
4	98.9%	98.8%	99%	91%	90.6%	91.5%
3	98.9%	98.8%	99%	91.8%	91.4%	92.2%
2	99%	98.9%	99.1%	92.7%	92.3%	93.1%
1	99%	98.9%	99.1%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 83.5% of newborns in the Seychelles and 61.1% in South Sudan are expected to live past 60, 68.1% and 45.1% past 70, 40.5% and 21.3% past 80, and only 10.4% and 3.37% 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 Sudan

Male

Female

1x

Age	Probability of dying
	Seychelles			South Sudan
	Average	Male	Female	Average	Male	Female
100	38.8%	40.4%	38.5%	45.7%	49.1%	43.1%
99	36.8%	38.5%	36.4%	43.7%	47.1%	41%
98	34.9%	36.7%	34.3%	40.5%	45.5%	39.1%
97	32.9%	34.8%	32.2%	37.7%	43.8%	37.1%
96	30.9%	32.9%	30.2%	35.6%	41.9%	35%
95	28.8%	31%	28.1%	33.8%	39.8%	32.8%
94	26.8%	29.2%	26.2%	31.9%	37.5%	30.6%
93	25%	27.4%	24.2%	30%	35.2%	28.4%
92	23.2%	25.6%	22.4%	28.1%	33%	26.4%
91	21.5%	23.8%	20.6%	26.3%	30.8%	24.6%
90	19.8%	22.1%	18.9%	24.6%	28.6%	22.9%
89	18.2%	20.5%	17.3%	23%	26.4%	21.4%
88	16.7%	19%	15.8%	21.4%	24.3%	20%
87	15.3%	17.6%	14.4%	19.9%	22.4%	18.6%
86	14%	16.2%	13%	18.5%	20.6%	17.4%
85	12.8%	15%	11.8%	17.1%	19%	16.1%
84	11.8%	13.8%	10.6%	15.9%	17.6%	14.9%
83	10.8%	12.7%	9.54%	14.6%	16.3%	13.7%
82	9.85%	11.7%	8.56%	13.5%	15%	12.6%
81	8.91%	10.7%	7.67%	12.4%	13.8%	11.5%
80	8.1%	9.84%	6.87%	11.3%	12.7%	10.5%
79	7.4%	9.03%	6.15%	10.4%	11.7%	9.54%
78	6.74%	8.28%	5.5%	9.47%	10.7%	8.69%
77	6.11%	7.59%	4.92%	8.67%	9.8%	7.92%
76	5.6%	6.96%	4.39%	7.94%	9%	7.23%
75	5.14%	6.38%	3.92%	7.29%	8.28%	6.61%
74	4.64%	5.86%	3.5%	6.69%	7.61%	6.05%
73	4.2%	5.38%	3.12%	6.14%	6.99%	5.52%
72	3.86%	4.94%	2.79%	5.62%	6.41%	5.03%
71	3.53%	4.53%	2.5%	5.13%	5.87%	4.58%
70	3.2%	4.16%	2.25%	4.68%	5.37%	4.16%
69	2.94%	3.83%	2.02%	4.26%	4.91%	3.77%
68	2.69%	3.52%	1.82%	3.9%	4.5%	3.43%
67	2.45%	3.24%	1.64%	3.57%	4.14%	3.12%
66	2.23%	2.98%	1.48%	3.28%	3.83%	2.84%
65	2.03%	2.74%	1.35%	3.02%	3.54%	2.6%
64	1.85%	2.52%	1.23%	2.78%	3.28%	2.37%
63	1.69%	2.32%	1.12%	2.56%	3.04%	2.17%
62	1.57%	2.13%	1.02%	2.35%	2.81%	1.97%
61	1.44%	1.96%	0.92%	2.16%	2.59%	1.8%
60	1.32%	1.8%	0.84%	1.98%	2.39%	1.64%
59	1.21%	1.66%	0.77%	1.82%	2.21%	1.5%
58	1.1%	1.53%	0.7%	1.69%	2.06%	1.39%
57	1.03%	1.4%	0.64%	1.58%	1.93%	1.29%
56	0.97%	1.29%	0.58%	1.49%	1.82%	1.21%
55	0.89%	1.19%	0.52%	1.42%	1.73%	1.15%
54	0.82%	1.09%	0.48%	1.35%	1.65%	1.09%
53	0.77%	1%	0.47%	1.28%	1.57%	1.03%
52	0.71%	0.91%	0.46%	1.21%	1.49%	0.97%
51	0.66%	0.83%	0.44%	1.14%	1.41%	0.91%
50	0.62%	0.77%	0.42%	1.07%	1.32%	0.85%
49	0.58%	0.72%	0.39%	1%	1.24%	0.79%
48	0.54%	0.69%	0.34%	0.95%	1.17%	0.75%
47	0.51%	0.66%	0.3%	0.9%	1.11%	0.71%
46	0.48%	0.63%	0.25%	0.86%	1.06%	0.69%
45	0.44%	0.61%	0.21%	0.84%	1.02%	0.67%
44	0.42%	0.57%	0.18%	0.81%	0.99%	0.66%
43	0.38%	0.51%	0.15%	0.79%	0.96%	0.64%
42	0.33%	0.45%	0.14%	0.77%	0.92%	0.63%
41	0.29%	0.38%	0.14%	0.74%	0.89%	0.61%
40	0.25%	0.32%	0.14%	0.71%	0.85%	0.58%
39	0.23%	0.27%	0.15%	0.68%	0.82%	0.56%
38	0.21%	0.24%	0.16%	0.65%	0.79%	0.53%
37	0.2%	0.22%	0.17%	0.63%	0.76%	0.51%
36	0.2%	0.21%	0.18%	0.61%	0.74%	0.49%
35	0.2%	0.22%	0.18%	0.6%	0.73%	0.48%
34	0.2%	0.22%	0.17%	0.59%	0.71%	0.47%
33	0.2%	0.23%	0.16%	0.58%	0.7%	0.46%
32	0.2%	0.23%	0.14%	0.57%	0.69%	0.45%
31	0.19%	0.22%	0.13%	0.56%	0.68%	0.44%
30	0.17%	0.21%	0.12%	0.55%	0.67%	0.43%
29	0.16%	0.19%	0.11%	0.54%	0.66%	0.42%
28	0.14%	0.17%	0.1%	0.53%	0.65%	0.41%
27	0.14%	0.16%	0.1%	0.52%	0.65%	0.39%
26	0.13%	0.16%	0.1%	0.52%	0.65%	0.38%
25	0.13%	0.15%	0.11%	0.51%	0.65%	0.37%
24	0.13%	0.15%	0.11%	0.51%	0.65%	0.36%
23	0.13%	0.15%	0.1%	0.5%	0.65%	0.35%
22	0.12%	0.15%	0.08%	0.49%	0.63%	0.34%
21	0.1%	0.14%	0.06%	0.47%	0.61%	0.33%
20	0.09%	0.13%	0.04%	0.44%	0.57%	0.32%
19	0.07%	0.11%	0.03%	0.41%	0.52%	0.3%
18	0.06%	0.1%	0.02%	0.38%	0.47%	0.29%
17	0.05%	0.08%	0.02%	0.35%	0.42%	0.27%
16	0.04%	0.06%	0.02%	0.32%	0.37%	0.26%
15	0.03%	0.05%	0.01%	0.29%	0.34%	0.24%
14	0.03%	0.04%	0.01%	0.27%	0.31%	0.22%
13	0.02%	0.03%	0.02%	0.26%	0.3%	0.22%
12	0.02%	0.03%	0.02%	0.26%	0.3%	0.22%
11	0.02%	0.03%	0.02%	0.27%	0.32%	0.22%
10	0.02%	0.02%	0.02%	0.3%	0.35%	0.24%
9	0.02%	0.02%	0.02%	0.34%	0.4%	0.27%
8	0.02%	0.03%	0.02%	0.39%	0.47%	0.31%
7	0.03%	0.03%	0.02%	0.45%	0.54%	0.36%
6	0.03%	0.03%	0.03%	0.53%	0.63%	0.43%
5	0.03%	0.04%	0.03%	0.62%	0.71%	0.53%
4	0.04%	0.04%	0.04%	0.73%	0.8%	0.65%
3	0.05%	0.05%	0.05%	0.85%	0.9%	0.8%
2	0.06%	0.06%	0.06%	0.99%	0.99%	0.98%
1	0.07%	0.07%	0.07%	1.16%	1.1%	1.22%
0	0.97%	1.06%	0.87%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.97% in the birth year in the Seychelles and 6.22% in South Sudan, 0.17% vs 0.55% at age 30, 1.32% vs 1.98% at 60, and 8.1% vs 11.3% at 80.

Death rate by age in Seychelles vs South Sudan

Chart Table

Seychelles

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Seychelles			South Sudan
	Total	Male	Female	Total	Male	Female
100	45	0	91.5	0	0	0
99	218.8	106.3	345	44.4	13.7	68.6
98	318	159.6	496	69.1	24.4	107.5
97	449	231.9	687	103.4	41.7	162.1
96	609	327	921	151.7	68.7	235
95	795	447	1,195	217.2	108.2	328
94	1,013	594	1,505	301	163.5	440
93	1,260	769	1,840	404	237	571
92	1,520	965	2,186	527	331	722
91	1,791	1,179	2,532	670	447	890
90	2,062	1,406	2,867	831	582	1,077
89	2,315	1,640	3,175	1,007	729	1,279
88	2,550	1,873	3,443	1,193	887	1,492
87	2,758	2,101	3,659	1,386	1,052	1,712
86	2,937	2,315	3,814	1,579	1,221	1,929
85	3,088	2,512	3,906	1,767	1,392	2,135
84	3,218	2,686	3,937	1,944	1,562	2,321
83	3,318	2,833	3,912	2,103	1,725	2,478
82	3,344	2,950	3,840	2,237	1,874	2,600
81	3,319	3,035	3,729	2,342	2,003	2,685
80	3,283	3,090	3,586	2,417	2,108	2,734
79	3,240	3,116	3,421	2,465	2,188	2,750
78	3,162	3,115	3,238	2,490	2,246	2,742
77	3,057	3,090	3,043	2,497	2,284	2,714
76	2,965	3,045	2,841	2,485	2,305	2,672
75	2,868	2,983	2,638	2,459	2,311	2,615
74	2,718	2,908	2,441	2,419	2,300	2,546
73	2,569	2,821	2,251	2,364	2,272	2,461
72	2,457	2,724	2,072	2,292	2,226	2,363
71	2,326	2,620	1,904	2,207	2,164	2,252
70	2,179	2,511	1,748	2,111	2,091	2,133
69	2,059	2,400	1,604	2,011	2,013	2,011
68	1,942	2,287	1,471	1,911	1,933	1,891
67	1,811	2,174	1,348	1,815	1,855	1,777
66	1,683	2,061	1,237	1,724	1,782	1,668
65	1,565	1,948	1,139	1,636	1,710	1,565
64	1,450	1,839	1,051	1,551	1,639	1,464
63	1,354	1,732	967	1,465	1,565	1,366
62	1,271	1,628	889	1,378	1,488	1,270
61	1,183	1,527	817	1,292	1,409	1,178
60	1,100	1,430	750	1,210	1,332	1,092
59	1,023	1,338	688	1,136	1,260	1,015
58	944	1,251	630	1,072	1,197	950
57	888	1,167	579	1,018	1,145	896
56	843	1,087	531	976	1,102	853
55	784	1,013	482	939	1,066	816
54	730	941	447	906	1,033	782
53	684	867	435	872	999	748
52	639	799	428	835	961	711
51	601	738	416	795	919	672
50	567	689	396	753	875	633
49	532	651	365	713	832	596
48	502	623	326	679	794	566
47	474	601	281.1	651	762	543
46	444	582	236.3	631	737	528
45	415	559	197.6	616	717	519
44	391	525	167.7	604	700	512
43	359	479	147.3	593	685	506
42	316	420	136.2	580	667	496
41	275.9	358	133.2	564	648	483
40	242.1	302	136.8	545	628	467
39	216.2	256.8	145.4	526	608	449
38	200.4	225.7	156.4	508	590	431
37	193.3	208.7	166.9	493	575	415
36	192.2	203.5	173.6	481	563	402
35	194.5	206.7	174.3	473	555	392
34	196.8	214.2	168	466	549	384
33	195.4	220.9	156.2	461	544	377
32	189.8	221.8	141.2	456	538	372
31	179.9	214.5	126.1	451	533	366
30	165.8	200.9	113	446	527	359
29	151.7	184.1	103.5	440	523	352
28	140.9	169	98.7	436	522	344
27	133.5	157.9	98.1	432	523	335
26	129.9	151.5	100.8	429	527	325
25	129.3	149	103.9	427	532	316
24	128.3	148.5	103.5	424	536	307
23	123.3	147.9	95.2	420	535	298.4
22	114.1	145.1	80.1	412	527	290.7
21	101.4	138.2	61.5	398	508	283.3
20	86.9	126.9	44	379	478	275.1
19	72.3	111.5	31.3	354	439	265.4
18	59.1	94.3	23	327	397	253.5
17	47.7	77.1	18	299.3	357	239.3
16	38.6	61.6	15.4	273.6	321	224.4
15	31.9	49	14.4	251.3	290.8	210.1
14	27	39.3	14.3	235.1	270	198.7
13	23.9	32.5	14.9	226.8	260.1	192
12	22.1	28	15.8	227.9	262.8	191.3
11	21.3	25.4	16.9	239.4	279	198.2
10	21.3	24.3	18	262	309	213.5
9	22	24.5	19.3	296.8	353	238.8
8	23.3	25.6	20.8	344	411	275.7
7	25.5	27.9	22.9	404	480	326
6	28.7	31.4	26	477	558	393
5	33.4	36.1	30.5	561	641	479
4	39.5	42	36.8	660	727	591
3	47.3	49.3	45.3	776	818	733
2	57.5	58.3	56.8	915	916	915
1	70.5	69.1	71.9	1,086	1,027	1,147
0	967	1,060	872	6,215	6,667	5,754

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 0 in South Sudan. The median age of death is 77 in the Seychelles and 67.5 in South Sudan, 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 Sudan more than their death rates.

Life expectancy in other countries

+ -

1x