Life Expectancy in Argentina vs Seychelles (1950-2026)

Life expectancy by current age

Chart Table

Argentina

Male

Female

Seychelles

Male

Female

1x

Current age, years	Total life expectancy, years
	Argentina			Seychelles
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	102	101.8	102
99	101.7	101.4	101.8	101.1	100.9	101.1
98	100.8	100.6	100.9	100.2	100	100.2
97	100	99.8	100.1	99.3	99.2	99.3
96	99.2	99	99.3	98.4	98.3	98.5
95	98.4	98.2	98.5	97.6	97.4	97.6
94	97.6	97.3	97.7	96.8	96.6	96.8
93	96.9	96.6	97	95.9	95.7	96
92	96.1	95.8	96.3	95.1	94.9	95.2
91	95.4	95	95.6	94.4	94.1	94.5
90	94.7	94.3	94.9	93.6	93.3	93.7
89	94	93.6	94.2	92.9	92.5	93
88	93.4	92.9	93.6	92.1	91.8	92.3
87	92.7	92.2	93	91.4	91	91.6
86	92.1	91.5	92.4	90.7	90.3	90.9
85	91.5	90.8	91.8	90.1	89.6	90.3
84	90.9	90.2	91.3	89.4	88.9	89.7
83	90.3	89.5	90.8	88.8	88.2	89.1
82	89.8	88.9	90.3	88.1	87.5	88.5
81	89.3	88.3	89.8	87.6	86.9	88
80	88.8	87.8	89.4	87	86.2	87.5
79	88.3	87.2	89	86.4	85.6	87
78	87.9	86.7	88.6	85.9	85	86.5
77	87.4	86.2	88.3	85.4	84.5	86.1
76	87	85.8	87.9	84.9	83.9	85.6
75	86.6	85.3	87.6	84.4	83.4	85.3
74	86.3	84.9	87.3	83.9	82.9	84.9
73	85.9	84.5	87	83.5	82.4	84.5
72	85.5	84.1	86.7	83.1	81.9	84.2
71	85.2	83.7	86.4	82.7	81.4	83.9
70	84.9	83.3	86.1	82.3	80.9	83.6
69	84.6	82.9	85.9	81.9	80.5	83.3
68	84.2	82.6	85.6	81.5	80.1	83
67	83.9	82.2	85.4	81.2	79.7	82.8
66	83.7	81.9	85.2	80.9	79.3	82.5
65	83.4	81.6	84.9	80.6	78.9	82.3
64	83.1	81.3	84.7	80.3	78.5	82.1
63	82.9	81	84.5	80	78.2	81.9
62	82.7	80.7	84.3	79.7	77.9	81.7
61	82.4	80.5	84.2	79.4	77.5	81.5
60	82.2	80.3	84	79.2	77.2	81.3
59	82	80	83.8	79	76.9	81.1
58	81.8	79.8	83.7	78.7	76.7	81
57	81.7	79.6	83.5	78.5	76.4	80.8
56	81.5	79.4	83.4	78.3	76.1	80.7
55	81.3	79.3	83.3	78.1	75.9	80.6
54	81.2	79.1	83.1	77.9	75.7	80.4
53	81.1	78.9	83	77.7	75.4	80.3
52	80.9	78.8	82.9	77.5	75.2	80.2
51	80.8	78.7	82.8	77.4	75	80
50	80.7	78.5	82.7	77.2	74.8	79.9
49	80.6	78.4	82.6	77	74.7	79.8
48	80.5	78.3	82.5	76.9	74.5	79.7
47	80.4	78.2	82.5	76.7	74.3	79.6
46	80.3	78.1	82.4	76.6	74.1	79.5
45	80.2	78	82.3	76.4	73.9	79.5
44	80.2	77.9	82.2	76.3	73.8	79.4
43	80.1	77.9	82.2	76.2	73.6	79.3
42	80	77.8	82.1	76.1	73.5	79.3
41	80	77.7	82.1	76	73.4	79.2
40	79.9	77.6	82	75.9	73.3	79.2
39	79.8	77.6	82	75.8	73.2	79.1
38	79.8	77.5	81.9	75.7	73.1	79
37	79.7	77.5	81.9	75.7	73	79
36	79.7	77.4	81.8	75.6	72.9	78.9
35	79.6	77.3	81.8	75.5	72.8	78.8
34	79.6	77.3	81.7	75.4	72.8	78.7
33	79.5	77.2	81.7	75.3	72.7	78.7
32	79.5	77.2	81.7	75.2	72.6	78.6
31	79.4	77.1	81.6	75.2	72.5	78.5
30	79.4	77	81.6	75.1	72.4	78.5
29	79.3	77	81.6	75	72.3	78.4
28	79.3	76.9	81.5	74.9	72.2	78.4
27	79.2	76.9	81.5	74.9	72.2	78.3
26	79.2	76.8	81.5	74.8	72.1	78.3
25	79.1	76.7	81.4	74.7	72	78.2
24	79.1	76.7	81.4	74.7	72	78.2
23	79.1	76.6	81.4	74.6	71.9	78.1
22	79	76.6	81.4	74.6	71.8	78.1
21	79	76.5	81.3	74.5	71.7	78
20	78.9	76.4	81.3	74.5	71.7	78
19	78.9	76.3	81.3	74.4	71.6	78
18	78.8	76.3	81.2	74.4	71.6	78
17	78.8	76.2	81.2	74.4	71.5	78
16	78.7	76.2	81.2	74.3	71.5	78
15	78.7	76.2	81.2	74.3	71.5	78
14	78.7	76.2	81.2	74.3	71.4	77.9
13	78.7	76.1	81.1	74.3	71.4	77.9
12	78.7	76.1	81.1	74.3	71.4	77.9
11	78.7	76.1	81.1	74.3	71.4	77.9
10	78.6	76.1	81.1	74.2	71.4	77.9
9	78.6	76.1	81.1	74.2	71.3	77.9
8	78.6	76.1	81.1	74.2	71.3	77.9
7	78.6	76.1	81.1	74.2	71.3	77.9
6	78.6	76.1	81.1	74.2	71.3	77.8
5	78.6	76	81.1	74.1	71.3	77.8
4	78.6	76	81	74.1	71.2	77.8
3	78.6	76	81	74.1	71.2	77.8
2	78.5	76	81	74	71.2	77.7
1	78.5	76	81	74	71.1	77.7
0	77.8	75.3	80.3	73.3	70.4	77

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 Argentina can expect to live to 79.4 years compared to 75.1 in the Seychelles, rising to 83.4 and 80.6 at 65, and to 88.8 and 87 at 80 — higher than the 77.8 and 73.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Argentina

Male

Female

Seychelles

Male

Female

1x

Age	Survival probability
	Argentina			Seychelles
	Average	Male	Female	Average	Male	Female
100	1.96%	1.06%	2.73%	0.38%	0.17%	0.6%
99	2.74%	1.52%	3.8%	0.6%	0.28%	0.95%
98	3.74%	2.11%	5.15%	0.91%	0.44%	1.44%
97	4.98%	2.88%	6.8%	1.36%	0.67%	2.13%
96	6.48%	3.84%	8.79%	1.97%	0.99%	3.05%
95	8.24%	5.01%	11.1%	2.77%	1.44%	4.25%
94	10.3%	6.42%	13.7%	3.78%	2.03%	5.75%
93	12.6%	8.07%	16.6%	5.04%	2.8%	7.59%
92	15.1%	9.97%	19.8%	6.56%	3.77%	9.78%
91	18%	12.1%	23.3%	8.35%	4.95%	12.3%
90	21%	14.5%	26.9%	10.4%	6.35%	15.2%
89	24.2%	17%	30.7%	12.7%	7.99%	18.4%
88	27.5%	19.8%	34.6%	15.3%	9.87%	21.8%
87	30.8%	22.7%	38.4%	18%	12%	25.5%
86	34.3%	25.8%	42.2%	21%	14.3%	29.3%
85	37.7%	29%	45.9%	24.1%	16.8%	33.2%
84	41.2%	32.3%	49.5%	27.3%	19.5%	37.1%
83	44.6%	35.7%	53%	30.6%	22.3%	41%
82	47.9%	39.2%	56.3%	33.9%	25.3%	44.9%
81	51.1%	42.5%	59.4%	37.3%	28.3%	48.6%
80	54.2%	45.8%	62.3%	40.5%	31.4%	52.2%
79	57.1%	49%	65%	43.8%	34.5%	55.6%
78	59.8%	52.1%	67.4%	46.9%	37.6%	58.8%
77	62.4%	55%	69.7%	50%	40.7%	61.9%
76	64.8%	57.7%	71.8%	53%	43.8%	64.7%
75	67.1%	60.4%	73.7%	55.8%	46.7%	67.4%
74	69.2%	62.9%	75.5%	58.6%	49.6%	69.8%
73	71.3%	65.3%	77.2%	61.1%	52.5%	72.1%
72	73.2%	67.5%	78.8%	63.6%	55.2%	74.1%
71	75%	69.7%	80.3%	65.9%	57.8%	76%
70	76.7%	71.8%	81.6%	68.1%	60.3%	77.8%
69	78.3%	73.8%	82.9%	70.1%	62.7%	79.4%
68	79.9%	75.7%	84.1%	72.1%	65%	80.8%
67	81.3%	77.4%	85.2%	73.9%	67.2%	82.2%
66	82.6%	79.1%	86.3%	75.6%	69.2%	83.4%
65	83.9%	80.6%	87.2%	77.1%	71.2%	84.6%
64	85.1%	82%	88.1%	78.6%	73%	85.6%
63	86.1%	83.4%	89%	79.9%	74.8%	86.6%
62	87.1%	84.6%	89.8%	81.2%	76.4%	87.5%
61	88.1%	85.7%	90.5%	82.4%	77.9%	88.3%
60	88.9%	86.7%	91.1%	83.5%	79.3%	89%
59	89.7%	87.7%	91.8%	84.5%	80.7%	89.7%
58	90.4%	88.5%	92.3%	85.5%	81.9%	90.4%
57	91.1%	89.3%	92.8%	86.4%	83.1%	90.9%
56	91.7%	90.1%	93.3%	87.2%	84.2%	91.5%
55	92.2%	90.7%	93.7%	88%	85.2%	92%
54	92.7%	91.3%	94.1%	88.7%	86.1%	92.4%
53	93.1%	91.9%	94.5%	89.4%	87%	92.8%
52	93.6%	92.4%	94.8%	90%	87.8%	93.3%
51	93.9%	92.8%	95.1%	90.6%	88.6%	93.7%
50	94.3%	93.2%	95.4%	91.2%	89.2%	94.1%
49	94.6%	93.6%	95.7%	91.7%	89.9%	94.4%
48	94.9%	93.9%	95.9%	92.2%	90.5%	94.8%
47	95.2%	94.3%	96.2%	92.7%	91.1%	95.1%
46	95.4%	94.6%	96.4%	93.2%	91.7%	95.3%
45	95.7%	94.8%	96.5%	93.6%	92.3%	95.5%
44	95.9%	95%	96.7%	94%	92.8%	95.7%
43	96.1%	95.3%	96.9%	94.3%	93.3%	95.8%
42	96.2%	95.5%	97%	94.6%	93.7%	95.9%
41	96.4%	95.7%	97.2%	94.9%	94%	96.1%
40	96.5%	95.8%	97.3%	95.2%	94.3%	96.2%
39	96.7%	96%	97.4%	95.4%	94.6%	96.4%
38	96.8%	96.2%	97.5%	95.6%	94.8%	96.5%
37	96.9%	96.3%	97.6%	95.8%	95%	96.7%
36	97.1%	96.5%	97.7%	96%	95.2%	96.8%
35	97.2%	96.6%	97.8%	96.2%	95.4%	97%
34	97.3%	96.7%	97.9%	96.3%	95.7%	97.2%
33	97.4%	96.9%	98%	96.5%	95.9%	97.3%
32	97.5%	97%	98%	96.7%	96.1%	97.5%
31	97.6%	97.1%	98.1%	96.9%	96.3%	97.6%
30	97.7%	97.2%	98.2%	97.1%	96.5%	97.7%
29	97.8%	97.3%	98.2%	97.2%	96.7%	97.8%
28	97.9%	97.5%	98.3%	97.4%	96.9%	97.9%
27	97.9%	97.6%	98.3%	97.5%	97%	98%
26	98%	97.7%	98.4%	97.6%	97.2%	98.1%
25	98.1%	97.8%	98.4%	97.8%	97.3%	98.2%
24	98.2%	97.9%	98.5%	97.9%	97.5%	98.3%
23	98.3%	98%	98.5%	98%	97.6%	98.4%
22	98.4%	98.2%	98.6%	98.1%	97.8%	98.5%
21	98.5%	98.3%	98.6%	98.2%	97.9%	98.6%
20	98.5%	98.4%	98.7%	98.3%	98%	98.6%
19	98.6%	98.5%	98.7%	98.4%	98.1%	98.6%
18	98.7%	98.6%	98.8%	98.5%	98.2%	98.7%
17	98.8%	98.7%	98.8%	98.5%	98.3%	98.7%
16	98.8%	98.8%	98.8%	98.5%	98.4%	98.7%
15	98.8%	98.8%	98.9%	98.6%	98.4%	98.7%
14	98.9%	98.9%	98.9%	98.6%	98.5%	98.7%
13	98.9%	98.9%	98.9%	98.6%	98.5%	98.7%
12	98.9%	98.9%	98.9%	98.6%	98.5%	98.8%
11	98.9%	98.9%	99%	98.7%	98.6%	98.8%
10	98.9%	98.9%	99%	98.7%	98.6%	98.8%
9	99%	98.9%	99%	98.7%	98.6%	98.8%
8	99%	99%	99%	98.7%	98.6%	98.8%
7	99%	99%	99%	98.8%	98.7%	98.9%
6	99%	99%	99%	98.8%	98.7%	98.9%
5	99%	99%	99%	98.8%	98.7%	98.9%
4	99%	99%	99.1%	98.9%	98.8%	99%
3	99.1%	99.1%	99.1%	98.9%	98.8%	99%
2	99.1%	99.1%	99.1%	99%	98.9%	99.1%
1	99.1%	99.1%	99.2%	99%	98.9%	99.1%

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 83.5% in the Seychelles are expected to live past 60, 76.7% and 68.1% past 70, 54.2% and 40.5% past 80, and only 21% and 10.4% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Argentina

Male

Female

Seychelles

Male

Female

1x

Age	Probability of dying
	Argentina			Seychelles
	Average	Male	Female	Average	Male	Female
100	30.3%	31.7%	30%	38.8%	40.4%	38.5%
99	28.6%	30%	28.2%	36.8%	38.5%	36.4%
98	26.7%	28.3%	26.2%	34.9%	36.7%	34.3%
97	24.9%	26.6%	24.4%	32.9%	34.8%	32.2%
96	23.1%	25%	22.6%	30.9%	32.9%	30.2%
95	21.4%	23.4%	20.7%	28.8%	31%	28.1%
94	19.8%	21.9%	19%	26.8%	29.2%	26.2%
93	18.3%	20.5%	17.5%	25%	27.4%	24.2%
92	17%	19%	16.2%	23.2%	25.6%	22.4%
91	15.7%	17.6%	15%	21.5%	23.8%	20.6%
90	14.4%	16.3%	13.6%	19.8%	22.1%	18.9%
89	13.2%	15.1%	12.3%	18.2%	20.5%	17.3%
88	12%	13.9%	11.1%	16.7%	19%	15.8%
87	10.9%	12.9%	9.97%	15.3%	17.6%	14.4%
86	10%	12%	8.98%	14%	16.2%	13%
85	9.16%	11.1%	8.1%	12.8%	15%	11.8%
84	8.39%	10.3%	7.3%	11.8%	13.8%	10.6%
83	7.66%	9.51%	6.56%	10.8%	12.7%	9.54%
82	6.96%	8.73%	5.87%	9.85%	11.7%	8.56%
81	6.29%	7.95%	5.23%	8.91%	10.7%	7.67%
80	5.66%	7.2%	4.64%	8.1%	9.84%	6.87%
79	5.08%	6.49%	4.11%	7.4%	9.03%	6.15%
78	4.56%	5.85%	3.65%	6.74%	8.28%	5.5%
77	4.11%	5.28%	3.26%	6.11%	7.59%	4.92%
76	3.72%	4.78%	2.92%	5.6%	6.96%	4.39%
75	3.38%	4.36%	2.64%	5.14%	6.38%	3.92%
74	3.1%	3.99%	2.4%	4.64%	5.86%	3.5%
73	2.85%	3.67%	2.19%	4.2%	5.38%	3.12%
72	2.63%	3.39%	2%	3.86%	4.94%	2.79%
71	2.43%	3.13%	1.83%	3.53%	4.53%	2.5%
70	2.24%	2.9%	1.68%	3.2%	4.16%	2.25%
69	2.07%	2.68%	1.54%	2.94%	3.83%	2.02%
68	1.91%	2.47%	1.42%	2.69%	3.52%	1.82%
67	1.76%	2.28%	1.3%	2.45%	3.24%	1.64%
66	1.62%	2.08%	1.2%	2.23%	2.98%	1.48%
65	1.49%	1.9%	1.11%	2.03%	2.74%	1.35%
64	1.37%	1.74%	1.03%	1.85%	2.52%	1.23%
63	1.25%	1.58%	0.95%	1.69%	2.32%	1.12%
62	1.15%	1.44%	0.87%	1.57%	2.13%	1.02%
61	1.05%	1.31%	0.8%	1.44%	1.96%	0.92%
60	0.96%	1.19%	0.73%	1.32%	1.8%	0.84%
59	0.87%	1.08%	0.67%	1.21%	1.66%	0.77%
58	0.79%	0.98%	0.61%	1.1%	1.53%	0.7%
57	0.72%	0.89%	0.55%	1.03%	1.4%	0.64%
56	0.65%	0.8%	0.5%	0.97%	1.29%	0.58%
55	0.59%	0.73%	0.46%	0.89%	1.19%	0.52%
54	0.54%	0.66%	0.42%	0.82%	1.09%	0.48%
53	0.49%	0.59%	0.38%	0.77%	1%	0.47%
52	0.44%	0.54%	0.35%	0.71%	0.91%	0.46%
51	0.41%	0.49%	0.32%	0.66%	0.83%	0.44%
50	0.37%	0.45%	0.3%	0.62%	0.77%	0.42%
49	0.34%	0.41%	0.28%	0.58%	0.72%	0.39%
48	0.31%	0.37%	0.25%	0.54%	0.69%	0.34%
47	0.28%	0.33%	0.23%	0.51%	0.66%	0.3%
46	0.26%	0.3%	0.21%	0.48%	0.63%	0.25%
45	0.23%	0.27%	0.19%	0.44%	0.61%	0.21%
44	0.21%	0.25%	0.18%	0.42%	0.57%	0.18%
43	0.2%	0.23%	0.16%	0.38%	0.51%	0.15%
42	0.18%	0.21%	0.15%	0.33%	0.45%	0.14%
41	0.17%	0.2%	0.14%	0.29%	0.38%	0.14%
40	0.16%	0.18%	0.13%	0.25%	0.32%	0.14%
39	0.15%	0.18%	0.12%	0.23%	0.27%	0.15%
38	0.14%	0.17%	0.11%	0.21%	0.24%	0.16%
37	0.13%	0.16%	0.11%	0.2%	0.22%	0.17%
36	0.12%	0.15%	0.1%	0.2%	0.21%	0.18%
35	0.12%	0.14%	0.09%	0.2%	0.22%	0.18%
34	0.11%	0.14%	0.08%	0.2%	0.22%	0.17%
33	0.11%	0.13%	0.08%	0.2%	0.23%	0.16%
32	0.1%	0.13%	0.07%	0.2%	0.23%	0.14%
31	0.1%	0.12%	0.07%	0.19%	0.22%	0.13%
30	0.09%	0.12%	0.06%	0.17%	0.21%	0.12%
29	0.09%	0.12%	0.06%	0.16%	0.19%	0.11%
28	0.09%	0.12%	0.06%	0.14%	0.17%	0.1%
27	0.09%	0.12%	0.06%	0.14%	0.16%	0.1%
26	0.09%	0.12%	0.05%	0.13%	0.16%	0.1%
25	0.09%	0.12%	0.05%	0.13%	0.15%	0.11%
24	0.09%	0.12%	0.05%	0.13%	0.15%	0.11%
23	0.09%	0.12%	0.05%	0.13%	0.15%	0.1%
22	0.09%	0.12%	0.05%	0.12%	0.15%	0.08%
21	0.09%	0.13%	0.05%	0.1%	0.14%	0.06%
20	0.09%	0.12%	0.05%	0.09%	0.13%	0.04%
19	0.08%	0.12%	0.05%	0.07%	0.11%	0.03%
18	0.07%	0.1%	0.04%	0.06%	0.1%	0.02%
17	0.06%	0.08%	0.04%	0.05%	0.08%	0.02%
16	0.05%	0.06%	0.04%	0.04%	0.06%	0.02%
15	0.04%	0.05%	0.03%	0.03%	0.05%	0.01%
14	0.03%	0.03%	0.03%	0.03%	0.04%	0.01%
13	0.02%	0.02%	0.02%	0.02%	0.03%	0.02%
12	0.02%	0.02%	0.02%	0.02%	0.03%	0.02%
11	0.02%	0.02%	0.02%	0.02%	0.03%	0.02%
10	0.01%	0.01%	0.01%	0.02%	0.02%	0.02%
9	0.01%	0.01%	0.01%	0.02%	0.02%	0.02%
8	0.01%	0.01%	0.01%	0.02%	0.03%	0.02%
7	0.01%	0.02%	0.01%	0.03%	0.03%	0.02%
6	0.02%	0.02%	0.02%	0.03%	0.03%	0.03%
5	0.02%	0.02%	0.02%	0.03%	0.04%	0.03%
4	0.02%	0.02%	0.02%	0.04%	0.04%	0.04%
3	0.03%	0.03%	0.03%	0.05%	0.05%	0.05%
2	0.03%	0.03%	0.04%	0.06%	0.06%	0.06%
1	0.04%	0.04%	0.05%	0.07%	0.07%	0.07%
0	0.85%	0.88%	0.83%	0.97%	1.06%	0.87%

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

The annual chance of dying is 0.85% in the birth year in Argentina and 0.97% in the Seychelles, 0.09% vs 0.17% at age 30, 0.96% vs 1.32% at 60, and 5.66% vs 8.1% at 80.

Death rate by age in Argentina vs Seychelles

Chart Table

Argentina

Male

Female

Seychelles

Male

Female

1x

Age	Death rate
	Argentina			Seychelles
	Total	Male	Female	Total	Male	Female
100	520	252.3	745	45	0	91.5
99	784	455	1,070	218.8	106.3	345
98	998	599	1,350	318	159.6	496
97	1,238	767	1,658	449	231.9	687
96	1,497	959	1,982	609	327	921
95	1,759	1,172	2,297	795	447	1,195
94	2,028	1,408	2,604	1,013	594	1,505
93	2,300	1,654	2,907	1,260	769	1,840
92	2,573	1,898	3,211	1,520	965	2,186
91	2,825	2,133	3,482	1,791	1,179	2,532
90	3,023	2,357	3,661	2,062	1,406	2,867
89	3,178	2,564	3,776	2,315	1,640	3,175
88	3,294	2,752	3,833	2,550	1,873	3,443
87	3,373	2,926	3,829	2,758	2,101	3,659
86	3,425	3,083	3,789	2,937	2,315	3,814
85	3,453	3,220	3,720	3,088	2,512	3,906
84	3,451	3,329	3,616	3,218	2,686	3,937
83	3,414	3,399	3,478	3,318	2,833	3,912
82	3,336	3,417	3,307	3,344	2,950	3,840
81	3,218	3,382	3,106	3,319	3,035	3,729
80	3,068	3,299	2,889	3,283	3,090	3,586
79	2,902	3,182	2,670	3,240	3,116	3,421
78	2,731	3,045	2,461	3,162	3,115	3,238
77	2,565	2,902	2,269	3,057	3,090	3,043
76	2,411	2,761	2,097	2,965	3,045	2,841
75	2,270	2,629	1,945	2,868	2,983	2,638
74	2,145	2,508	1,810	2,718	2,908	2,441
73	2,030	2,396	1,688	2,569	2,821	2,251
72	1,922	2,289	1,575	2,457	2,724	2,072
71	1,819	2,185	1,469	2,326	2,620	1,904
70	1,720	2,082	1,369	2,179	2,511	1,748
69	1,623	1,979	1,277	2,059	2,400	1,604
68	1,528	1,872	1,191	1,942	2,287	1,471
67	1,434	1,762	1,111	1,811	2,174	1,348
66	1,342	1,649	1,037	1,683	2,061	1,237
65	1,251	1,535	968	1,565	1,948	1,139
64	1,164	1,424	904	1,450	1,839	1,051
63	1,080	1,317	842	1,354	1,732	967
62	999	1,216	782	1,271	1,628	889
61	922	1,121	723	1,183	1,527	817
60	850	1,032	667	1,100	1,430	750
59	781	948	613	1,023	1,338	688
58	716	869	562	944	1,251	630
57	654	794	515	888	1,167	579
56	597	723	470	843	1,087	531
55	544	658	430	784	1,013	482
54	497	598	394	730	941	447
53	454	545	362	684	867	435
52	416	497	334	639	799	428
51	382	454	308	601	738	416
50	351	415	285.3	567	689	396
49	323	379	263.7	532	651	365
48	295.6	346	243.3	502	623	326
47	270.1	315	223.7	474	601	281.1
46	246.2	285.9	205.1	444	582	236.3
45	224.3	259.7	187.8	415	559	197.6
44	204.9	236.5	172.1	391	525	167.7
43	188.1	216.9	158.3	359	479	147.3
42	174.1	200.8	146.5	316	420	136.2
41	162.5	187.7	136.2	275.9	358	133.2
40	152.7	177.1	127.2	242.1	302	136.8
39	144	168	118.9	216.2	256.8	145.4
38	136.1	160	111.1	200.4	225.7	156.4
37	128.5	152.6	103.3	193.3	208.7	166.9
36	121.2	145.5	95.8	192.2	203.5	173.6
35	114.4	139	88.6	194.5	206.7	174.3
34	108.1	133	82	196.8	214.2	168
33	102.6	128	76.1	195.4	220.9	156.2
32	98.2	124.1	71.1	189.8	221.8	141.2
31	94.7	121.2	66.9	179.9	214.5	126.1
30	92	119.3	63.5	165.8	200.9	113
29	89.8	117.9	60.4	151.7	184.1	103.5
28	88	117	57.6	140.9	169	98.7
27	86.4	116.3	55.1	133.5	157.9	98.1
26	85.1	116	52.7	129.9	151.5	100.8
25	84.2	116.3	50.6	129.3	149	103.9
24	83.9	117.2	49	128.3	148.5	103.5
23	84.5	119.4	47.9	123.3	147.9	95.2
22	85.6	122	47.4	114.1	145.1	80.1
21	86.6	123.9	47.2	101.4	138.2	61.5
20	85.9	122.9	46.9	86.9	126.9	44
19	82	116.1	45.9	72.3	111.5	31.3
18	73.8	102.2	43.6	59.1	94.3	23
17	62.3	83.4	40	47.7	77.1	18
16	49.6	63.1	35.2	38.6	61.6	15.4
15	38.2	45.8	30.1	31.9	49	14.4
14	29.1	32.7	25.1	27	39.3	14.3
13	22.6	24.1	21	23.9	32.5	14.9
12	18.2	18.8	17.7	22.1	28	15.8
11	15.5	15.7	15.3	21.3	25.4	16.9
10	14	14.1	13.8	21.3	24.3	18
9	13.4	13.8	13	22	24.5	19.3
8	13.6	14.2	13.1	23.3	25.6	20.8
7	14.6	15.3	13.8	25.5	27.9	22.9
6	16.4	17.2	15.5	28.7	31.4	26
5	19	19.7	18.3	33.4	36.1	30.5
4	22.7	22.9	22.5	39.5	42	36.8
3	27.6	26.9	28.4	47.3	49.3	45.3
2	34.2	31.8	36.6	57.5	58.3	56.8
1	42.6	37.8	47.7	70.5	69.1	71.9
0	851	876	826	967	1,060	872

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 Argentina, the most common age of death is 85, compared to 82 in the Seychelles. The median age of death is 81.4 in Argentina and 77 in the Seychelles, 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 Argentina and the Seychelles more than their death rates.

Life expectancy in other countries

+ -

1x