Life Expectancy in Seychelles vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Seychelles

Male

Female

Tanzania

Male

Female

1x

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

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 71.9 in Tanzania, rising to 80.6 and 79.9 at 65, and to 87 and 87.3 at 80 — higher than the 73.3 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Seychelles

Male

Female

Tanzania

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 83.5% of newborns in the Seychelles and 73.3% in Tanzania are expected to live past 60, 68.1% and 55.7% past 70, 40.5% and 31.5% past 80, and only 10.4% and 8.82% 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

Tanzania

Male

Female

1x

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

This chart displays the probability of dying at any given age in the Seychelles compared to Tanzania, as 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.

Death rate by age in Seychelles vs Tanzania

Chart Table

Seychelles

Male

Female

Tanzania

Male

Female

1x

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

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 Tanzania. The median age of death is 77 in the Seychelles and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x