Life Expectancy in Seychelles vs Tanzania (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in the Seychelles vs Tanzania: 75.1 years vs 71.9 at 30, 80.6 vs 79.9 at 65, 87 vs 87.3 at 80 — significantly higher than the 73.3 vs 67.6 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in the Seychelles and Tanzania.

Table

Current age, years	Total life expectancy, years
	Seychelles			Tanzania
	Average	Male	Female	Average	Male	Female
0	73.3	70.4	77	67.6	64.8	70.4
1	74	71.1	77.7	69.5	66.8	72.2
2	74	71.2	77.7	69.8	67	72.4
3	74.1	71.2	77.8	69.9	67.2	72.6
4	74.1	71.2	77.8	70.1	67.3	72.7
5	74.1	71.3	77.8	70.2	67.4	72.8
6	74.2	71.3	77.8	70.2	67.5	72.9
7	74.2	71.3	77.9	70.3	67.5	72.9
8	74.2	71.3	77.9	70.3	67.6	73
9	74.2	71.3	77.9	70.4	67.6	73
10	74.2	71.4	77.9	70.4	67.7	73.1
11	74.3	71.4	77.9	70.4	67.7	73.1
12	74.3	71.4	77.9	70.5	67.7	73.1
13	74.3	71.4	77.9	70.5	67.8	73.2
14	74.3	71.4	77.9	70.5	67.8	73.2
15	74.3	71.5	78	70.6	67.9	73.2
16	74.3	71.5	78	70.6	67.9	73.3
17	74.4	71.5	78	70.7	68	73.3
18	74.4	71.6	78	70.8	68.1	73.4
19	74.4	71.6	78	70.8	68.1	73.4
20	74.5	71.7	78	70.9	68.2	73.5
21	74.5	71.7	78	71	68.3	73.6
22	74.6	71.8	78.1	71.1	68.4	73.6
23	74.6	71.9	78.1	71.2	68.5	73.7
24	74.7	72	78.2	71.3	68.6	73.8
25	74.7	72	78.2	71.4	68.7	73.9
26	74.8	72.1	78.3	71.4	68.9	73.9
27	74.9	72.2	78.3	71.6	69	74
28	74.9	72.2	78.4	71.7	69.1	74.1
29	75	72.3	78.4	71.8	69.2	74.2
30	75.1	72.4	78.5	71.9	69.3	74.3
31	75.2	72.5	78.5	72	69.5	74.4
32	75.2	72.6	78.6	72.1	69.6	74.5
33	75.3	72.7	78.7	72.2	69.7	74.6
34	75.4	72.8	78.7	72.4	69.9	74.7
35	75.5	72.8	78.8	72.5	70	74.8
36	75.6	72.9	78.9	72.6	70.2	75
37	75.7	73	79	72.8	70.3	75.1
38	75.7	73.1	79	72.9	70.5	75.2
39	75.8	73.2	79.1	73.1	70.7	75.4
40	75.9	73.3	79.2	73.2	70.8	75.5
41	76	73.4	79.2	73.4	71	75.6
42	76.1	73.5	79.3	73.6	71.2	75.8
43	76.2	73.6	79.3	73.8	71.4	76
44	76.3	73.8	79.4	73.9	71.6	76.1
45	76.4	73.9	79.5	74.1	71.8	76.3
46	76.6	74.1	79.5	74.3	72	76.5
47	76.7	74.3	79.6	74.5	72.3	76.6
48	76.9	74.5	79.7	74.7	72.5	76.8
49	77	74.7	79.8	75	72.7	77
50	77.2	74.8	79.9	75.2	73	77.2
51	77.4	75	80	75.4	73.3	77.4
52	77.5	75.2	80.2	75.7	73.5	77.6
53	77.7	75.4	80.3	75.9	73.8	77.9
54	77.9	75.7	80.4	76.2	74.1	78.1
55	78.1	75.9	80.6	76.5	74.4	78.3
56	78.3	76.1	80.7	76.8	74.7	78.6
57	78.5	76.4	80.8	77.1	75	78.9
58	78.7	76.7	81	77.4	75.4	79.1
59	79	76.9	81.1	77.7	75.7	79.4
60	79.2	77.2	81.3	78	76.1	79.7
61	79.4	77.5	81.5	78.4	76.4	80
62	79.7	77.9	81.7	78.7	76.8	80.3
63	80	78.2	81.9	79.1	77.2	80.7
64	80.3	78.5	82.1	79.5	77.6	81
65	80.6	78.9	82.3	79.9	78.1	81.4
66	80.9	79.3	82.5	80.3	78.5	81.8
67	81.2	79.7	82.8	80.7	79	82.2
68	81.5	80.1	83	81.2	79.4	82.6
69	81.9	80.5	83.3	81.6	79.9	83
70	82.3	80.9	83.6	82.1	80.4	83.4
71	82.7	81.4	83.9	82.5	80.9	83.9
72	83.1	81.9	84.2	83	81.4	84.3
73	83.5	82.4	84.5	83.5	81.9	84.8
74	83.9	82.9	84.9	84	82.4	85.3
75	84.4	83.4	85.3	84.5	83	85.8
76	84.9	83.9	85.6	85.1	83.5	86.3
77	85.4	84.5	86.1	85.6	84.1	86.8
78	85.9	85	86.5	86.2	84.7	87.3
79	86.4	85.6	87	86.8	85.3	87.8
80	87	86.2	87.5	87.3	86	88.3
81	87.6	86.9	88	87.9	86.6	88.9
82	88.1	87.5	88.5	88.6	87.3	89.4
83	88.8	88.2	89.1	89.2	88	90
84	89.4	88.9	89.7	89.9	88.7	90.6
85	90.1	89.6	90.3	90.6	89.4	91.2
86	90.7	90.3	90.9	91.3	90.1	91.9
87	91.4	91	91.6	92	90.9	92.5
88	92.1	91.8	92.3	92.7	91.7	93.2
89	92.9	92.5	93	93.5	92.5	93.9
90	93.6	93.3	93.7	94.3	93.3	94.6
91	94.4	94.1	94.5	95.1	94.1	95.4
92	95.1	94.9	95.2	95.8	94.9	96.1
93	95.9	95.7	96	96.6	95.8	96.9
94	96.8	96.6	96.8	97.4	96.6	97.7
95	97.6	97.4	97.6	98.3	97.5	98.4
96	98.4	98.3	98.5	99.1	98.4	99.3
97	99.3	99.2	99.3	100	99.2	100.1
98	100.2	100	100.2	100.8	100.1	100.9
99	101.1	100.9	101.1	101.7	101	101.7
100	102	101.8	102	102.5	101.9	102.6

Odds of living to age in Seychelles vs Tanzania

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 83.5% in the Seychelles and 73.3% in Tanzania are expected to survive till at least 60 years old, 68.1% and 55.7% will live to 70 years or older, 40.5% and 31.5% to 80+ years, and 10.4% and 8.82% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Seychelles			Tanzania
	Average	Male	Female	Average	Male	Female
1	99%	98.9%	99.1%	97.3%	97%	97.6%
2	99%	98.9%	99.1%	96.9%	96.6%	97.2%
3	98.9%	98.8%	99%	96.7%	96.4%	97%
4	98.9%	98.8%	99%	96.5%	96.2%	96.8%
5	98.8%	98.7%	98.9%	96.4%	96.1%	96.7%
6	98.8%	98.7%	98.9%	96.3%	96%	96.6%
7	98.8%	98.7%	98.9%	96.2%	95.9%	96.5%
8	98.7%	98.6%	98.8%	96.1%	95.8%	96.5%
9	98.7%	98.6%	98.8%	96.1%	95.7%	96.4%
10	98.7%	98.6%	98.8%	96%	95.7%	96.4%
11	98.7%	98.6%	98.8%	95.9%	95.6%	96.3%
12	98.6%	98.5%	98.8%	95.9%	95.5%	96.2%
13	98.6%	98.5%	98.7%	95.8%	95.5%	96.2%
14	98.6%	98.5%	98.7%	95.8%	95.4%	96.1%
15	98.6%	98.4%	98.7%	95.7%	95.3%	96.1%
16	98.5%	98.4%	98.7%	95.6%	95.2%	96%
17	98.5%	98.3%	98.7%	95.5%	95.1%	95.9%
18	98.5%	98.2%	98.7%	95.4%	95%	95.8%
19	98.4%	98.1%	98.6%	95.3%	94.8%	95.7%
20	98.3%	98%	98.6%	95.1%	94.6%	95.6%
21	98.2%	97.9%	98.6%	95%	94.4%	95.5%
22	98.1%	97.8%	98.5%	94.8%	94.2%	95.4%
23	98%	97.6%	98.4%	94.6%	94%	95.2%
24	97.9%	97.5%	98.3%	94.4%	93.8%	95.1%
25	97.8%	97.3%	98.2%	94.2%	93.6%	94.9%
26	97.6%	97.2%	98.1%	94%	93.3%	94.8%
27	97.5%	97%	98%	93.8%	93.1%	94.6%
28	97.4%	96.9%	97.9%	93.6%	92.8%	94.4%
29	97.2%	96.7%	97.8%	93.4%	92.5%	94.2%
30	97.1%	96.5%	97.7%	93.1%	92.3%	94%
31	96.9%	96.3%	97.6%	92.9%	92%	93.8%
32	96.7%	96.1%	97.5%	92.6%	91.6%	93.6%
33	96.5%	95.9%	97.3%	92.3%	91.3%	93.3%
34	96.3%	95.7%	97.2%	92%	90.9%	93.1%
35	96.2%	95.4%	97%	91.7%	90.6%	92.8%
36	96%	95.2%	96.8%	91.3%	90.2%	92.5%
37	95.8%	95%	96.7%	91%	89.8%	92.2%
38	95.6%	94.8%	96.5%	90.6%	89.3%	91.9%
39	95.4%	94.6%	96.4%	90.2%	88.8%	91.6%
40	95.2%	94.3%	96.2%	89.8%	88.3%	91.2%
41	94.9%	94%	96.1%	89.3%	87.8%	90.8%
42	94.6%	93.7%	95.9%	88.8%	87.2%	90.5%
43	94.3%	93.3%	95.8%	88.3%	86.7%	90%
44	94%	92.8%	95.7%	87.8%	86%	89.6%
45	93.6%	92.3%	95.5%	87.2%	85.4%	89.1%
46	93.2%	91.7%	95.3%	86.6%	84.7%	88.6%
47	92.7%	91.1%	95.1%	86%	83.9%	88.1%
48	92.2%	90.5%	94.8%	85.3%	83.1%	87.5%
49	91.7%	89.9%	94.4%	84.6%	82.3%	86.9%
50	91.2%	89.2%	94.1%	83.9%	81.4%	86.3%
51	90.6%	88.6%	93.7%	83%	80.4%	85.6%
52	90%	87.8%	93.3%	82.2%	79.4%	84.9%
53	89.4%	87%	92.8%	81.3%	78.4%	84.2%
54	88.7%	86.1%	92.4%	80.3%	77.3%	83.3%
55	88%	85.2%	92%	79.3%	76.1%	82.5%
56	87.2%	84.2%	91.5%	78.2%	74.9%	81.6%
57	86.4%	83.1%	90.9%	77.1%	73.6%	80.7%
58	85.5%	81.9%	90.4%	75.9%	72.2%	79.7%
59	84.5%	80.7%	89.7%	74.7%	70.8%	78.6%
60	83.5%	79.3%	89%	73.3%	69.3%	77.5%
61	82.4%	77.9%	88.3%	71.9%	67.6%	76.2%
62	81.2%	76.4%	87.5%	70.4%	66%	74.9%
63	79.9%	74.8%	86.6%	68.8%	64.2%	73.5%
64	78.6%	73%	85.6%	67.2%	62.3%	72%
65	77.1%	71.2%	84.6%	65.4%	60.3%	70.5%
66	75.6%	69.2%	83.4%	63.6%	58.3%	68.8%
67	73.9%	67.2%	82.2%	61.7%	56.2%	67%
68	72.1%	65%	80.8%	59.7%	54%	65.2%
69	70.1%	62.7%	79.4%	57.7%	51.8%	63.3%
70	68.1%	60.3%	77.8%	55.7%	49.5%	61.4%
71	65.9%	57.8%	76%	53.5%	47.1%	59.4%
72	63.6%	55.2%	74.1%	51.3%	44.7%	57.3%
73	61.1%	52.5%	72.1%	49%	42.2%	55.1%
74	58.6%	49.6%	69.8%	46.6%	39.7%	52.9%
75	55.8%	46.7%	67.4%	44.2%	37.1%	50.6%
76	53%	43.8%	64.7%	41.7%	34.5%	48.2%
77	50%	40.7%	61.9%	39.2%	31.8%	45.8%
78	46.9%	37.6%	58.8%	36.6%	29.2%	43.4%
79	43.8%	34.5%	55.6%	34.1%	26.6%	41%
80	40.5%	31.4%	52.2%	31.5%	24%	38.5%
81	37.3%	28.3%	48.6%	29%	21.4%	36.1%
82	33.9%	25.3%	44.9%	26.5%	19%	33.6%
83	30.6%	22.3%	41%	23.9%	16.6%	31%
84	27.3%	19.5%	37.1%	21.4%	14.3%	28.4%
85	24.1%	16.8%	33.2%	19%	12.2%	25.7%
86	21%	14.3%	29.3%	16.6%	10.2%	23.1%
87	18%	12%	25.5%	14.4%	8.47%	20.5%
88	15.3%	9.87%	21.8%	12.4%	6.9%	18.1%
89	12.7%	7.99%	18.4%	10.5%	5.52%	15.7%
90	10.4%	6.35%	15.2%	8.82%	4.35%	13.5%
91	8.35%	4.95%	12.3%	7.28%	3.35%	11.5%
92	6.56%	3.77%	9.78%	5.97%	2.55%	9.63%
93	5.04%	2.8%	7.59%	4.81%	1.89%	7.95%
94	3.78%	2.03%	5.75%	3.82%	1.38%	6.46%
95	2.77%	1.44%	4.25%	2.99%	0.98%	5.16%
96	1.97%	0.99%	3.05%	2.29%	0.68%	4.05%
97	1.36%	0.67%	2.13%	1.73%	0.46%	3.12%
98	0.91%	0.44%	1.44%	1.29%	0.3%	2.36%
99	0.6%	0.28%	0.95%	0.94%	0.2%	1.76%
100	0.38%	0.17%	0.6%	0.67%	0.12%	1.28%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.97% in the birth year in the Seychelles and 2.69% in Tanzania, 0.17% vs 0.28% at age 30, 1.32% vs 1.94% at 60, and 8.1% vs 8.09% at 80.

Below is a graph displaying the probabilities of dying in the Seychelles compared to Tanzania at any given age.

Table

Age	Probability of dying
	Seychelles			Tanzania
	Average	Male	Female	Average	Male	Female
0	0.97%	1.06%	0.87%	2.69%	2.99%	2.38%
1	0.07%	0.07%	0.07%	0.41%	0.41%	0.4%
2	0.06%	0.06%	0.06%	0.25%	0.26%	0.25%
3	0.05%	0.05%	0.05%	0.18%	0.18%	0.17%
4	0.04%	0.04%	0.04%	0.13%	0.14%	0.12%
5	0.03%	0.04%	0.03%	0.1%	0.11%	0.09%
6	0.03%	0.03%	0.03%	0.08%	0.09%	0.08%
7	0.03%	0.03%	0.02%	0.08%	0.08%	0.07%
8	0.02%	0.03%	0.02%	0.07%	0.07%	0.06%
9	0.02%	0.02%	0.02%	0.06%	0.07%	0.06%
10	0.02%	0.02%	0.02%	0.06%	0.07%	0.05%
11	0.02%	0.03%	0.02%	0.06%	0.07%	0.05%
12	0.02%	0.03%	0.02%	0.06%	0.07%	0.06%
13	0.02%	0.03%	0.02%	0.07%	0.08%	0.06%
14	0.03%	0.04%	0.01%	0.08%	0.09%	0.07%
15	0.03%	0.05%	0.01%	0.09%	0.1%	0.08%
16	0.04%	0.06%	0.02%	0.1%	0.12%	0.09%
17	0.05%	0.08%	0.02%	0.12%	0.14%	0.1%
18	0.06%	0.1%	0.02%	0.14%	0.17%	0.11%
19	0.07%	0.11%	0.03%	0.15%	0.18%	0.12%
20	0.09%	0.13%	0.04%	0.16%	0.2%	0.13%
21	0.1%	0.14%	0.06%	0.17%	0.21%	0.13%
22	0.12%	0.15%	0.08%	0.18%	0.23%	0.14%
23	0.13%	0.15%	0.1%	0.19%	0.24%	0.15%
24	0.13%	0.15%	0.11%	0.2%	0.25%	0.16%
25	0.13%	0.15%	0.11%	0.21%	0.26%	0.17%
26	0.13%	0.16%	0.1%	0.22%	0.27%	0.18%
27	0.14%	0.16%	0.1%	0.24%	0.28%	0.19%
28	0.14%	0.17%	0.1%	0.25%	0.3%	0.2%
29	0.16%	0.19%	0.11%	0.26%	0.31%	0.21%
30	0.17%	0.21%	0.12%	0.28%	0.33%	0.23%
31	0.19%	0.22%	0.13%	0.29%	0.34%	0.24%
32	0.2%	0.23%	0.14%	0.31%	0.37%	0.25%
33	0.2%	0.23%	0.16%	0.33%	0.39%	0.27%
34	0.2%	0.22%	0.17%	0.35%	0.41%	0.29%
35	0.2%	0.22%	0.18%	0.37%	0.44%	0.31%
36	0.2%	0.21%	0.18%	0.39%	0.47%	0.33%
37	0.2%	0.22%	0.17%	0.42%	0.5%	0.34%
38	0.21%	0.24%	0.16%	0.45%	0.53%	0.37%
39	0.23%	0.27%	0.15%	0.47%	0.56%	0.39%
40	0.25%	0.32%	0.14%	0.51%	0.6%	0.42%
41	0.29%	0.38%	0.14%	0.53%	0.63%	0.44%
42	0.33%	0.45%	0.14%	0.57%	0.68%	0.47%
43	0.38%	0.51%	0.15%	0.6%	0.72%	0.49%
44	0.42%	0.57%	0.18%	0.64%	0.77%	0.52%
45	0.44%	0.61%	0.21%	0.69%	0.83%	0.56%
46	0.48%	0.63%	0.25%	0.73%	0.88%	0.59%
47	0.51%	0.66%	0.3%	0.78%	0.94%	0.63%
48	0.54%	0.69%	0.34%	0.84%	1.01%	0.68%
49	0.58%	0.72%	0.39%	0.9%	1.08%	0.73%
50	0.62%	0.77%	0.42%	0.97%	1.17%	0.79%
51	0.66%	0.83%	0.44%	1.03%	1.24%	0.83%
52	0.71%	0.91%	0.46%	1.11%	1.34%	0.9%
53	0.77%	1%	0.47%	1.18%	1.42%	0.95%
54	0.82%	1.09%	0.48%	1.26%	1.52%	1.02%
55	0.89%	1.19%	0.52%	1.35%	1.62%	1.09%
56	0.97%	1.29%	0.58%	1.44%	1.73%	1.16%
57	1.03%	1.4%	0.64%	1.54%	1.85%	1.24%
58	1.1%	1.53%	0.7%	1.66%	1.99%	1.34%
59	1.21%	1.66%	0.77%	1.78%	2.14%	1.44%
60	1.32%	1.8%	0.84%	1.94%	2.34%	1.58%
61	1.44%	1.96%	0.92%	2.06%	2.49%	1.7%
62	1.57%	2.13%	1.02%	2.25%	2.71%	1.86%
63	1.69%	2.32%	1.12%	2.42%	2.92%	2.02%
64	1.85%	2.52%	1.23%	2.61%	3.15%	2.2%
65	2.03%	2.74%	1.35%	2.83%	3.4%	2.41%
66	2.23%	2.98%	1.48%	2.97%	3.6%	2.54%
67	2.45%	3.24%	1.64%	3.16%	3.84%	2.7%
68	2.69%	3.52%	1.82%	3.37%	4.12%	2.88%
69	2.94%	3.83%	2.02%	3.59%	4.41%	3.06%
70	3.2%	4.16%	2.25%	3.91%	4.8%	3.33%
71	3.53%	4.53%	2.5%	4.12%	5.1%	3.49%
72	3.86%	4.94%	2.79%	4.5%	5.58%	3.8%
73	4.2%	5.38%	3.12%	4.83%	6.02%	4.06%
74	4.64%	5.86%	3.5%	5.22%	6.52%	4.35%
75	5.14%	6.38%	3.92%	5.63%	7.08%	4.66%
76	5.6%	6.96%	4.39%	6.05%	7.65%	4.95%
77	6.11%	7.59%	4.92%	6.47%	8.26%	5.24%
78	6.74%	8.28%	5.5%	7.01%	9.02%	5.65%
79	7.4%	9.03%	6.15%	7.47%	9.73%	5.95%
80	8.1%	9.84%	6.87%	8.09%	10.6%	6.4%
81	8.91%	10.7%	7.67%	8.6%	11.4%	6.8%
82	9.85%	11.7%	8.56%	9.6%	12.6%	7.7%
83	10.8%	12.7%	9.54%	10.4%	13.7%	8.46%
84	11.8%	13.8%	10.6%	11.4%	14.9%	9.37%
85	12.8%	15%	11.8%	12.3%	16%	10.2%
86	14%	16.2%	13%	13.3%	17.3%	11.1%
87	15.3%	17.6%	14.4%	14.2%	18.6%	12%
88	16.7%	19%	15.8%	15.2%	20%	13%
89	18.2%	20.5%	17.3%	16.1%	21.3%	13.9%
90	19.8%	22.1%	18.9%	17.4%	22.9%	15.3%
91	21.5%	23.8%	20.6%	18.1%	24%	16%
92	23.2%	25.6%	22.4%	19.4%	25.7%	17.5%
93	25%	27.4%	24.2%	20.6%	27.3%	18.7%
94	26.8%	29.2%	26.2%	21.8%	28.9%	20.1%
95	28.8%	31%	28.1%	23.3%	30.7%	21.6%
96	30.9%	32.9%	30.2%	24.5%	32.3%	23%
97	32.9%	34.8%	32.2%	25.7%	33.9%	24.3%
98	34.9%	36.7%	34.3%	26.8%	35.3%	25.5%
99	36.8%	38.5%	36.4%	28.3%	37.1%	27.2%
100	38.8%	40.4%	38.5%	29.4%	38.6%	28.4%

Death rate by age in the Seychelles compared to Tanzania

In the Seychelles, the most common age of death is 82, compared to 0 in Tanzania. The median age of death is 77 in the Seychelles and 72.6 in Tanzania — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Seychelles			Tanzania
	Total	Male	Female	Total	Male	Female
0	967	1,060	872	2,690	2,990	2,383
1	70.5	69.1	71.9	394	394	394
2	57.5	58.3	56.8	246.7	252.7	240.5
3	47.3	49.3	45.3	171.2	177.9	164.3
4	39.5	42	36.8	125.6	131.7	119.3
5	33.4	36.1	30.5	96.7	101.8	91.4
6	28.7	31.4	26	81.7	87.3	76
7	25.5	27.9	22.9	72.2	78.1	66.1
8	23.3	25.6	20.8	64.7	70.4	58.8
9	22	24.5	19.3	59.9	65.2	54.4
10	21.3	24.3	18	57.7	63	52.2
11	21.3	25.4	16.9	57.8	63.8	51.6
12	22.1	28	15.8	60	66.3	53.6
13	23.9	32.5	14.9	65.1	71.8	58.2
14	27	39.3	14.3	73.3	81.7	64.7
15	31.9	49	14.4	85	95.7	74
16	38.6	61.6	15.4	98.8	113.8	83.6
17	47.7	77.1	18	114.1	134.6	93.3
18	59.1	94.3	23	130.5	157.1	103.4
19	72.3	111.5	31.3	142.8	172.9	112.2
20	86.9	126.9	44	154.3	187.4	120.7
21	101.4	138.2	61.5	164	200.4	127
22	114.1	145.1	80.1	174.2	212.6	135.4
23	123.3	147.9	95.2	183.7	223.1	143.7
24	128.3	148.5	103.5	192.7	232.5	152.5
25	129.3	149	103.9	201.9	242.2	161.1
26	129.9	151.5	100.8	211.5	251.5	171
27	133.5	157.9	98.1	222.2	262.5	181.1
28	140.9	169	98.7	233.1	274.4	191
29	151.7	184.1	103.5	245	287.2	202.1
30	165.8	200.9	113	258.9	303	213.8
31	179.9	214.5	126.1	269.7	316	222.6
32	189.8	221.8	141.2	286.8	335	237.8
33	195.4	220.9	156.2	303	353	251.3
34	196.8	214.2	168	321	375	266.3
35	194.5	206.7	174.3	341	398	284.4
36	192.2	203.5	173.6	361	420	301
37	193.3	208.7	166.9	382	446	318
38	200.4	225.7	156.4	405	473	338
39	216.2	256.8	145.4	428	500	357
40	242.1	302	136.8	455	533	380
41	275.9	358	133.2	476	557	397
42	316	420	136.2	507	593	423
43	359	479	147.3	533	625	445
44	391	525	167.7	563	661	469
45	415	559	197.6	599	705	498
46	444	582	236.3	632	744	525
47	474	601	281.1	671	789	558
48	502	623	326	716	840	596
49	532	651	365	761	892	633
50	567	689	396	817	955	680
51	601	738	416	856	999	711
52	639	799	428	914	1,062	763
53	684	867	435	962	1,116	802
54	730	941	447	1,015	1,174	848
55	784	1,013	482	1,069	1,234	895
56	843	1,087	531	1,126	1,294	949
57	888	1,167	579	1,185	1,359	1,002
58	944	1,251	630	1,257	1,436	1,069
59	1,023	1,338	688	1,327	1,514	1,135
60	1,100	1,430	750	1,422	1,617	1,227
61	1,183	1,527	817	1,484	1,686	1,293
62	1,271	1,628	889	1,583	1,789	1,396
63	1,354	1,732	967	1,666	1,874	1,488
64	1,450	1,839	1,051	1,753	1,961	1,588
65	1,565	1,948	1,139	1,848	2,051	1,698
66	1,683	2,061	1,237	1,889	2,097	1,743
67	1,811	2,174	1,348	1,948	2,160	1,806
68	1,942	2,287	1,471	2,015	2,226	1,877
69	2,059	2,400	1,604	2,072	2,284	1,936
70	2,179	2,511	1,748	2,174	2,375	2,046
71	2,326	2,620	1,904	2,205	2,404	2,072
72	2,457	2,724	2,072	2,309	2,496	2,179
73	2,569	2,821	2,251	2,367	2,543	2,235
74	2,718	2,908	2,441	2,431	2,589	2,297
75	2,868	2,983	2,638	2,489	2,625	2,358
76	2,965	3,045	2,841	2,519	2,638	2,384
77	3,057	3,090	3,043	2,533	2,630	2,402
78	3,162	3,115	3,238	2,569	2,636	2,453
79	3,240	3,116	3,421	2,545	2,586	2,439
80	3,283	3,090	3,586	2,549	2,548	2,467
81	3,319	3,035	3,729	2,490	2,434	2,451
82	3,344	2,950	3,840	2,540	2,389	2,588
83	3,318	2,833	3,912	2,499	2,269	2,625
84	3,218	2,686	3,937	2,452	2,143	2,662
85	3,088	2,512	3,906	2,336	1,957	2,629
86	2,937	2,315	3,814	2,207	1,777	2,566
87	2,758	2,101	3,659	2,045	1,575	2,462
88	2,550	1,873	3,443	1,881	1,377	2,351
89	2,315	1,640	3,175	1,690	1,174	2,190
90	2,062	1,406	2,867	1,536	994	2,078
91	1,791	1,179	2,532	1,316	805	1,836
92	1,520	965	2,186	1,159	656	1,682
93	1,260	769	1,840	989	516	1,486
94	1,013	594	1,505	834	398	1,297
95	795	447	1,195	695	300	1,116
96	609	327	921	562	218.8	930
97	449	231.9	687	444	155.1	756
98	318	159.6	496	344	107.1	602
99	218.8	106.3	345	266.5	72.6	478
100	45	0	91.5	140.1	0.71	294.9

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about the Seychelles and Tanzania demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Seychelles vs Tanzania: Side-by-Side Comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size