Life Expectancy in Argentina vs East Timor (1950-2025)

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 Argentina vs East Timor: 79.3 years vs 72.7 at 30, 83.3 vs 78.6 at 65, 88.7 vs 85.7 at 80 — significantly higher than the 77.7 vs 68.1 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Argentina and East Timor.

Table

Current age, years	Total life expectancy, years
	Argentina			East Timor
	Average	Male	Female	Average	Male	Female
0	77.7	75.1	80.2	68.1	66.5	69.9
1	78.4	75.8	80.8	70.6	69.2	72.1
2	78.4	75.8	80.9	70.8	69.4	72.4
3	78.4	75.9	80.9	71	69.5	72.5
4	78.5	75.9	80.9	71.1	69.7	72.6
5	78.5	75.9	80.9	71.2	69.8	72.7
6	78.5	75.9	81	71.3	69.9	72.8
7	78.5	75.9	81	71.3	69.9	72.8
8	78.5	75.9	81	71.4	70	72.9
9	78.5	76	81	71.4	70	72.9
10	78.5	76	81	71.5	70.1	73
11	78.5	76	81	71.5	70.1	73
12	78.5	76	81	71.5	70.2	73
13	78.6	76	81	71.6	70.2	73.1
14	78.6	76	81	71.6	70.2	73.1
15	78.6	76	81.1	71.7	70.3	73.1
16	78.6	76.1	81.1	71.7	70.3	73.2
17	78.6	76.1	81.1	71.8	70.4	73.2
18	78.7	76.1	81.1	71.8	70.5	73.3
19	78.7	76.2	81.2	71.9	70.5	73.3
20	78.8	76.3	81.2	72	70.6	73.4
21	78.8	76.3	81.2	72	70.7	73.5
22	78.9	76.4	81.3	72.1	70.8	73.5
23	78.9	76.5	81.3	72.2	70.9	73.6
24	79	76.6	81.3	72.3	71	73.7
25	79	76.6	81.3	72.4	71.1	73.7
26	79.1	76.7	81.4	72.4	71.2	73.8
27	79.1	76.7	81.4	72.5	71.3	73.9
28	79.2	76.8	81.4	72.6	71.3	73.9
29	79.2	76.9	81.5	72.7	71.4	74
30	79.3	76.9	81.5	72.7	71.5	74.1
31	79.3	77	81.5	72.8	71.6	74.2
32	79.4	77	81.6	72.9	71.7	74.2
33	79.4	77.1	81.6	73	71.7	74.3
34	79.5	77.2	81.6	73.1	71.8	74.4
35	79.5	77.2	81.7	73.2	71.9	74.5
36	79.6	77.3	81.7	73.2	72	74.6
37	79.6	77.3	81.8	73.3	72.1	74.6
38	79.7	77.4	81.8	73.4	72.2	74.7
39	79.7	77.5	81.9	73.5	72.3	74.8
40	79.8	77.5	81.9	73.6	72.4	74.9
41	79.9	77.6	82	73.7	72.5	75
42	79.9	77.7	82	73.8	72.6	75.1
43	80	77.7	82.1	73.9	72.7	75.2
44	80.1	77.8	82.1	74.1	72.9	75.3
45	80.1	77.9	82.2	74.2	73	75.4
46	80.2	78	82.3	74.3	73.1	75.6
47	80.3	78.1	82.4	74.4	73.3	75.7
48	80.4	78.2	82.4	74.6	73.4	75.8
49	80.5	78.3	82.5	74.7	73.6	76
50	80.6	78.4	82.6	74.9	73.8	76.1
51	80.7	78.6	82.7	75.1	74	76.3
52	80.8	78.7	82.8	75.3	74.2	76.4
53	81	78.8	82.9	75.4	74.4	76.6
54	81.1	79	83.1	75.6	74.6	76.8
55	81.3	79.2	83.2	75.9	74.8	76.9
56	81.4	79.3	83.3	76.1	75.1	77.1
57	81.6	79.5	83.4	76.3	75.3	77.3
58	81.8	79.7	83.6	76.5	75.6	77.5
59	81.9	79.9	83.7	76.8	75.9	77.7
60	82.1	80.2	83.9	77.1	76.2	78
61	82.4	80.4	84.1	77.3	76.5	78.2
62	82.6	80.7	84.3	77.6	76.8	78.5
63	82.8	80.9	84.5	77.9	77.1	78.7
64	83.1	81.2	84.7	78.3	77.5	79
65	83.3	81.5	84.9	78.6	77.9	79.3
66	83.6	81.8	85.1	78.9	78.2	79.6
67	83.9	82.2	85.3	79.3	78.6	79.9
68	84.2	82.5	85.6	79.7	79.1	80.3
69	84.5	82.9	85.8	80.1	79.5	80.6
70	84.8	83.2	86.1	80.5	79.9	81
71	85.1	83.6	86.3	80.9	80.4	81.4
72	85.5	84	86.6	81.4	80.9	81.8
73	85.8	84.4	86.9	81.9	81.4	82.3
74	86.2	84.8	87.2	82.4	81.9	82.7
75	86.6	85.3	87.5	82.9	82.5	83.2
76	87	85.7	87.9	83.4	83	83.7
77	87.4	86.2	88.2	83.9	83.6	84.2
78	87.8	86.7	88.6	84.5	84.2	84.8
79	88.3	87.2	89	85.1	84.8	85.3
80	88.7	87.7	89.4	85.7	85.4	85.9
81	89.2	88.3	89.8	86.3	86.1	86.6
82	89.8	88.9	90.3	87	86.8	87.2
83	90.3	89.5	90.8	87.7	87.5	87.9
84	90.9	90.2	91.3	88.4	88.2	88.6
85	91.5	90.8	91.8	89.1	88.9	89.3
86	92.1	91.5	92.4	89.8	89.6	90
87	92.7	92.2	92.9	90.6	90.4	90.7
88	93.3	92.9	93.6	91.4	91.2	91.5
89	94	93.6	94.2	92.2	92	92.3
90	94.7	94.3	94.9	93	92.8	93.1
91	95.4	95	95.5	93.8	93.7	93.9
92	96.1	95.8	96.3	94.6	94.5	94.7
93	96.9	96.6	97	95.5	95.4	95.6
94	97.6	97.3	97.7	96.3	96.2	96.4
95	98.4	98.1	98.5	97.2	97.1	97.3
96	99.2	99	99.3	98.1	98	98.2
97	100	99.8	100.1	99	98.9	99.1
98	100.8	100.6	100.9	99.9	99.8	99.9
99	101.7	101.4	101.8	100.8	100.7	100.9
100	102.6	102.3	102.7	101.7	101.7	101.8

Odds of living to age in Argentina vs East Timor

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 88.7% in Argentina and 78% in East Timor are expected to survive till at least 60 years old, 76.4% and 60.1% will live to 70 years or older, 53.8% and 30.2% to 80+ years, and 20.7% and 4.85% 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
	Argentina			East Timor
	Average	Male	Female	Average	Male	Female
1	99.1%	99.1%	99.2%	96.5%	96.1%	96.9%
2	99.1%	99.1%	99.1%	96.2%	95.8%	96.6%
3	99.1%	99%	99.1%	96%	95.6%	96.4%
4	99%	99%	99%	95.8%	95.4%	96.2%
5	99%	99%	99%	95.6%	95.2%	96.1%
6	99%	99%	99%	95.5%	95.1%	96%
7	99%	98.9%	99%	95.5%	95%	95.9%
8	98.9%	98.9%	99%	95.4%	94.9%	95.9%
9	98.9%	98.9%	99%	95.3%	94.8%	95.8%
10	98.9%	98.9%	98.9%	95.3%	94.8%	95.8%
11	98.9%	98.9%	98.9%	95.2%	94.7%	95.7%
12	98.9%	98.9%	98.9%	95.1%	94.7%	95.7%
13	98.9%	98.9%	98.9%	95.1%	94.6%	95.6%
14	98.9%	98.8%	98.9%	95%	94.5%	95.6%
15	98.8%	98.8%	98.8%	94.9%	94.4%	95.5%
16	98.8%	98.7%	98.8%	94.9%	94.3%	95.4%
17	98.7%	98.7%	98.8%	94.8%	94.2%	95.3%
18	98.7%	98.6%	98.7%	94.7%	94.1%	95.2%
19	98.6%	98.5%	98.7%	94.5%	94%	95.2%
20	98.5%	98.4%	98.7%	94.4%	93.8%	95%
21	98.4%	98.3%	98.6%	94.3%	93.6%	94.9%
22	98.3%	98.1%	98.6%	94.1%	93.5%	94.8%
23	98.2%	98%	98.5%	94%	93.3%	94.7%
24	98.2%	97.9%	98.5%	93.8%	93.1%	94.6%
25	98.1%	97.8%	98.4%	93.7%	92.9%	94.4%
26	98%	97.6%	98.4%	93.5%	92.8%	94.3%
27	97.9%	97.5%	98.3%	93.3%	92.6%	94.1%
28	97.8%	97.4%	98.2%	93.2%	92.4%	94%
29	97.7%	97.3%	98.2%	93%	92.2%	93.9%
30	97.6%	97.2%	98.1%	92.9%	92.1%	93.7%
31	97.5%	97%	98.1%	92.7%	91.9%	93.5%
32	97.4%	96.9%	98%	92.5%	91.7%	93.4%
33	97.3%	96.8%	97.9%	92.3%	91.5%	93.2%
34	97.2%	96.7%	97.8%	92.1%	91.3%	93%
35	97.1%	96.5%	97.8%	91.9%	91.1%	92.8%
36	97%	96.4%	97.7%	91.7%	90.9%	92.6%
37	96.9%	96.2%	97.6%	91.5%	90.6%	92.4%
38	96.8%	96.1%	97.5%	91.3%	90.4%	92.2%
39	96.6%	95.9%	97.4%	91%	90.1%	92%
40	96.5%	95.8%	97.2%	90.7%	89.8%	91.7%
41	96.3%	95.6%	97.1%	90.5%	89.5%	91.5%
42	96.2%	95.4%	97%	90.2%	89.2%	91.2%
43	96%	95.2%	96.8%	89.8%	88.8%	90.9%
44	95.8%	95%	96.7%	89.5%	88.5%	90.6%
45	95.6%	94.7%	96.5%	89.1%	88.1%	90.2%
46	95.4%	94.5%	96.3%	88.7%	87.6%	89.9%
47	95.1%	94.2%	96.1%	88.3%	87.1%	89.5%
48	94.8%	93.8%	95.9%	87.8%	86.6%	89.1%
49	94.5%	93.5%	95.6%	87.3%	86%	88.6%
50	94.2%	93.1%	95.4%	86.7%	85.4%	88.1%
51	93.9%	92.7%	95.1%	86.1%	84.7%	87.6%
52	93.5%	92.2%	94.7%	85.5%	84%	87.1%
53	93%	91.7%	94.4%	84.8%	83.2%	86.5%
54	92.6%	91.2%	94%	84%	82.4%	85.8%
55	92.1%	90.6%	93.6%	83.2%	81.4%	85.1%
56	91.5%	89.9%	93.2%	82.3%	80.4%	84.4%
57	90.9%	89.2%	92.7%	81.4%	79.3%	83.6%
58	90.3%	88.4%	92.2%	80.3%	78.1%	82.7%
59	89.5%	87.5%	91.6%	79.2%	76.9%	81.8%
60	88.7%	86.5%	91%	78%	75.5%	80.8%
61	87.9%	85.5%	90.3%	76.7%	74%	79.7%
62	87%	84.4%	89.6%	75.3%	72.5%	78.5%
63	85.9%	83.1%	88.8%	73.9%	70.8%	77.2%
64	84.9%	81.8%	88%	72.3%	69%	75.9%
65	83.7%	80.4%	87.1%	70.5%	67.1%	74.4%
66	82.4%	78.8%	86.1%	68.7%	65.1%	72.7%
67	81.1%	77.1%	85%	66.8%	62.9%	71%
68	79.6%	75.4%	83.9%	64.7%	60.6%	69.1%
69	78.1%	73.5%	82.7%	62.4%	58.3%	67.1%
70	76.4%	71.5%	81.4%	60.1%	55.7%	64.8%
71	74.7%	69.4%	80%	57.6%	53.1%	62.5%
72	72.9%	67.2%	78.5%	54.9%	50.4%	59.9%
73	70.9%	64.9%	77%	52.1%	47.5%	57.2%
74	68.9%	62.5%	75.3%	49.2%	44.6%	54.4%
75	66.7%	59.9%	73.4%	46.2%	41.5%	51.4%
76	64.4%	57.3%	71.5%	43.1%	38.4%	48.2%
77	62%	54.5%	69.4%	40%	35.3%	45%
78	59.5%	51.6%	67.1%	36.7%	32.2%	41.6%
79	56.7%	48.6%	64.6%	33.5%	29%	38.1%
80	53.8%	45.4%	61.9%	30.2%	25.9%	34.6%
81	50.7%	42.1%	59%	26.9%	22.9%	31.1%
82	47.5%	38.7%	55.9%	23.7%	20%	27.6%
83	44.2%	35.3%	52.6%	20.6%	17.2%	24.1%
84	40.8%	31.9%	49.1%	17.6%	14.6%	20.8%
85	37.3%	28.6%	45.5%	14.9%	12.2%	17.7%
86	33.9%	25.4%	41.8%	12.3%	9.98%	14.9%
87	30.5%	22.4%	38%	10.1%	8.02%	12.3%
88	27.1%	19.5%	34.2%	8.05%	6.32%	9.93%
89	23.9%	16.7%	30.4%	6.31%	4.87%	7.89%
90	20.7%	14.2%	26.6%	4.85%	3.67%	6.13%
91	17.7%	11.9%	23%	3.64%	2.7%	4.67%
92	14.9%	9.78%	19.5%	2.67%	1.94%	3.47%
93	12.4%	7.91%	16.4%	1.91%	1.36%	2.51%
94	10.1%	6.29%	13.5%	1.33%	0.92%	1.78%
95	8.11%	4.9%	10.9%	0.9%	0.61%	1.22%
96	6.37%	3.75%	8.64%	0.6%	0.39%	0.82%
97	4.9%	2.82%	6.69%	0.38%	0.25%	0.54%
98	3.68%	2.07%	5.06%	0.24%	0.15%	0.34%
99	2.7%	1.48%	3.73%	0.15%	0.09%	0.21%
100	1.92%	1.04%	2.68%	0.09%	0.05%	0.13%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.87% in the birth year in Argentina and 3.5% in East Timor, 0.1% vs 0.19% at age 30, 0.97% vs 1.65% at 60, and 5.71% vs 10.9% at 80.

Below is a graph displaying the probabilities of dying in Argentina compared to East Timor at any given age.

Table

Age	Probability of dying
	Argentina			East Timor
	Average	Male	Female	Average	Male	Female
0	0.87%	0.89%	0.84%	3.5%	3.89%	3.08%
1	0.04%	0.04%	0.05%	0.32%	0.33%	0.32%
2	0.04%	0.03%	0.04%	0.24%	0.25%	0.23%
3	0.03%	0.03%	0.03%	0.18%	0.2%	0.17%
4	0.02%	0.02%	0.02%	0.14%	0.16%	0.13%
5	0.02%	0.02%	0.02%	0.11%	0.12%	0.1%
6	0.02%	0.02%	0.02%	0.09%	0.1%	0.08%
7	0.02%	0.02%	0.01%	0.08%	0.09%	0.07%
8	0.01%	0.01%	0.01%	0.07%	0.08%	0.06%
9	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
10	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
11	0.02%	0.02%	0.02%	0.06%	0.07%	0.05%
12	0.02%	0.02%	0.02%	0.06%	0.07%	0.06%
13	0.02%	0.02%	0.02%	0.07%	0.08%	0.06%
14	0.03%	0.03%	0.03%	0.08%	0.09%	0.07%
15	0.04%	0.05%	0.03%	0.09%	0.1%	0.07%
16	0.05%	0.07%	0.04%	0.1%	0.11%	0.08%
17	0.06%	0.09%	0.04%	0.11%	0.13%	0.09%
18	0.08%	0.11%	0.05%	0.13%	0.15%	0.1%
19	0.08%	0.12%	0.05%	0.14%	0.16%	0.11%
20	0.09%	0.13%	0.05%	0.15%	0.18%	0.12%
21	0.09%	0.13%	0.05%	0.16%	0.18%	0.13%
22	0.09%	0.13%	0.05%	0.16%	0.19%	0.13%
23	0.09%	0.12%	0.05%	0.16%	0.19%	0.14%
24	0.09%	0.12%	0.05%	0.17%	0.19%	0.14%
25	0.09%	0.12%	0.05%	0.17%	0.19%	0.15%
26	0.09%	0.12%	0.05%	0.17%	0.19%	0.15%
27	0.09%	0.12%	0.06%	0.17%	0.19%	0.16%
28	0.09%	0.12%	0.06%	0.18%	0.19%	0.16%
29	0.09%	0.12%	0.06%	0.18%	0.19%	0.17%
30	0.1%	0.12%	0.07%	0.19%	0.2%	0.17%
31	0.1%	0.13%	0.07%	0.19%	0.2%	0.18%
32	0.1%	0.13%	0.07%	0.2%	0.21%	0.19%
33	0.11%	0.13%	0.08%	0.21%	0.22%	0.2%
34	0.11%	0.14%	0.08%	0.22%	0.23%	0.2%
35	0.12%	0.15%	0.09%	0.23%	0.25%	0.21%
36	0.13%	0.15%	0.1%	0.24%	0.26%	0.23%
37	0.13%	0.16%	0.11%	0.26%	0.27%	0.24%
38	0.14%	0.17%	0.12%	0.27%	0.29%	0.25%
39	0.15%	0.18%	0.12%	0.29%	0.31%	0.27%
40	0.16%	0.19%	0.13%	0.31%	0.34%	0.28%
41	0.17%	0.2%	0.14%	0.33%	0.36%	0.3%
42	0.18%	0.21%	0.15%	0.36%	0.39%	0.32%
43	0.2%	0.23%	0.17%	0.39%	0.43%	0.34%
44	0.22%	0.25%	0.18%	0.42%	0.46%	0.37%
45	0.24%	0.28%	0.2%	0.45%	0.51%	0.4%
46	0.26%	0.31%	0.22%	0.49%	0.55%	0.43%
47	0.29%	0.34%	0.24%	0.54%	0.6%	0.47%
48	0.32%	0.37%	0.26%	0.58%	0.66%	0.5%
49	0.35%	0.41%	0.28%	0.64%	0.72%	0.55%
50	0.38%	0.45%	0.3%	0.69%	0.79%	0.59%
51	0.41%	0.5%	0.33%	0.76%	0.86%	0.64%
52	0.45%	0.55%	0.36%	0.82%	0.94%	0.69%
53	0.49%	0.6%	0.39%	0.9%	1.03%	0.75%
54	0.54%	0.66%	0.42%	0.98%	1.13%	0.81%
55	0.6%	0.74%	0.47%	1.06%	1.24%	0.87%
56	0.66%	0.81%	0.51%	1.16%	1.36%	0.95%
57	0.73%	0.9%	0.56%	1.27%	1.49%	1.03%
58	0.8%	1%	0.62%	1.39%	1.63%	1.12%
59	0.88%	1.1%	0.68%	1.51%	1.78%	1.23%
60	0.97%	1.21%	0.74%	1.65%	1.95%	1.34%
61	1.06%	1.33%	0.81%	1.81%	2.13%	1.48%
62	1.16%	1.46%	0.88%	1.98%	2.32%	1.63%
63	1.27%	1.6%	0.96%	2.16%	2.53%	1.79%
64	1.39%	1.76%	1.04%	2.36%	2.76%	1.97%
65	1.51%	1.93%	1.13%	2.59%	3.01%	2.18%
66	1.64%	2.11%	1.22%	2.85%	3.29%	2.41%
67	1.79%	2.31%	1.32%	3.13%	3.6%	2.67%
68	1.94%	2.51%	1.43%	3.45%	3.94%	2.96%
69	2.1%	2.72%	1.56%	3.8%	4.31%	3.29%
70	2.27%	2.94%	1.7%	4.18%	4.72%	3.66%
71	2.45%	3.17%	1.85%	4.6%	5.17%	4.07%
72	2.66%	3.43%	2.02%	5.06%	5.67%	4.51%
73	2.88%	3.71%	2.21%	5.56%	6.2%	5%
74	3.13%	4.04%	2.42%	6.1%	6.79%	5.53%
75	3.42%	4.4%	2.67%	6.69%	7.44%	6.11%
76	3.76%	4.83%	2.95%	7.35%	8.14%	6.76%
77	4.15%	5.33%	3.29%	8.09%	8.91%	7.49%
78	4.6%	5.91%	3.68%	8.92%	9.74%	8.31%
79	5.13%	6.56%	4.15%	9.84%	10.7%	9.22%
80	5.71%	7.27%	4.68%	10.9%	11.7%	10.2%
81	6.34%	8.02%	5.27%	11.9%	12.7%	11.3%
82	7.01%	8.8%	5.92%	13.1%	13.9%	12.4%
83	7.71%	9.59%	6.61%	14.3%	15.2%	13.6%
84	8.44%	10.4%	7.36%	15.6%	16.6%	14.9%
85	9.21%	11.2%	8.16%	17%	18.1%	16.2%
86	10.1%	12%	9.04%	18.5%	19.6%	17.6%
87	11%	13%	10%	20%	21.2%	19%
88	12.1%	14%	11.2%	21.6%	22.9%	20.6%
89	13.2%	15.1%	12.4%	23.2%	24.6%	22.2%
90	14.5%	16.4%	13.7%	24.9%	26.4%	23.9%
91	15.8%	17.7%	15%	26.7%	28.2%	25.7%
92	17%	19.1%	16.3%	28.5%	30%	27.5%
93	18.3%	20.5%	17.6%	30.3%	31.9%	29.3%
94	19.8%	22%	19.1%	32.1%	33.7%	31.1%
95	21.4%	23.4%	20.8%	33.9%	35.6%	32.9%
96	23.1%	25%	22.6%	35.7%	37.5%	34.8%
97	24.9%	26.7%	24.4%	37.5%	39.3%	36.6%
98	26.7%	28.3%	26.3%	39.3%	41.2%	38.4%
99	28.6%	30%	28.2%	41.1%	42.9%	40.2%
100	30.3%	31.7%	30%	42.9%	44.8%	42.1%

Death rate by age in Argentina compared to East Timor

In Argentina, the most common age of death is 84, compared to 0 in East Timor. The median age of death is 81.2 in Argentina and 73.7 in East Timor — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Argentina			East Timor
	Total	Male	Female	Total	Male	Female
0	870	895	844	3,499	3,888	3,084
1	43.5	38.6	48.6	309	313	306
2	34.8	32.5	37.3	232.9	242.1	223.1
3	28.2	27.4	28.9	176.7	188.5	164.1
4	23.1	23.3	22.9	135.9	148.5	122.8
5	19.3	20	18.6	106.9	119	94.4
6	16.7	17.5	15.8	86.7	97.7	75.3
7	14.9	15.6	14.1	73	82.8	62.9
8	13.9	14.4	13.3	64.2	72.9	55.2
9	13.6	14	13.3	59.1	66.8	51
10	14.2	14.4	14	56.9	64.1	49.5
11	15.8	15.9	15.6	57.4	64.3	50.2
12	18.6	19.1	18	60.2	67.3	52.8
13	23	24.5	21.4	65.5	73.3	57.3
14	29.6	33.4	25.6	73.1	82.3	63.4
15	38.9	46.7	30.6	82.8	94.2	71
16	50.5	64.4	35.9	94.3	108.4	79.6
17	63.5	85.1	40.8	106.6	124	88.7
18	75.2	104.2	44.4	118.9	139.6	97.5
19	83.6	118.4	46.7	130.1	153.7	105.6
20	87.5	125.2	47.7	139.4	165.1	112.6
21	88.1	126.3	48	146.4	173.1	118.7
22	87.2	124.3	48.2	151.2	177.6	123.9
23	86	121.6	48.7	154.3	179.1	128.7
24	85.4	119.4	49.7	156.1	178.5	133.1
25	85.7	118.3	51.4	157.4	176.9	137.4
26	86.5	118.1	53.5	158.8	175.4	141.7
27	87.9	118.4	55.9	160.7	174.8	146.2
28	89.4	119	58.5	163.4	175.6	150.9
29	91.3	119.9	61.3	167.1	178.2	155.9
30	93.5	121.3	64.4	171.9	182.4	161.4
31	96.2	123.2	67.9	177.8	188.2	167.4
32	99.7	126.1	72.1	184.7	195.3	174.2
33	104.2	130.1	77.1	192.6	203.5	181.8
34	109.7	135.2	83.1	201.4	212.8	190.1
35	116.1	141.2	89.8	211.3	223.2	199.4
36	123	147.8	97.1	222.3	235	209.5
37	130.4	155	104.8	234.5	248.4	220.6
38	138.1	162.5	112.6	248.2	263.6	232.5
39	146.1	170.6	120.5	263.6	281.1	245.5
40	154.8	179.7	128.9	280.8	301	259.8
41	164.7	190.4	138	300	324	275.7
42	176.5	203.6	148.4	322	349	293.5
43	190.7	219.9	160.4	346	378	313
44	207.6	239.8	174.4	374	410	336
45	227.3	263.1	190.2	404	446	360
46	249.5	289.7	207.7	437	484	388
47	273.6	319	226.6	473	526	417
48	299.4	351	246.4	513	571	450
49	327	384	267.1	556	620	484
50	356	420	288.9	601	672	521
51	387	460	312	650	729	560
52	421	503	338	703	791	601
53	460	551	367	759	858	645
54	503	606	399	820	931	692
55	551	666	436	886	1,010	742
56	604	732	477	957	1,094	798
57	662	803	521	1,033	1,183	859
58	725	879	570	1,114	1,275	927
59	791	960	621	1,199	1,371	1,003
60	860	1,044	676	1,290	1,471	1,087
61	934	1,134	733	1,387	1,573	1,178
62	1,011	1,230	791	1,489	1,680	1,277
63	1,092	1,332	852	1,596	1,790	1,383
64	1,177	1,439	915	1,709	1,904	1,498
65	1,264	1,551	980	1,828	2,022	1,621
66	1,355	1,665	1,049	1,956	2,143	1,753
67	1,448	1,779	1,123	2,090	2,266	1,895
68	1,542	1,889	1,203	2,229	2,390	2,047
69	1,637	1,996	1,289	2,370	2,513	2,207
70	1,733	2,099	1,382	2,511	2,633	2,373
71	1,833	2,201	1,482	2,649	2,747	2,540
72	1,935	2,304	1,588	2,779	2,853	2,703
73	2,042	2,409	1,701	2,899	2,948	2,859
74	2,157	2,520	1,823	3,004	3,028	3,004
75	2,282	2,639	1,957	3,095	3,089	3,139
76	2,421	2,770	2,109	3,173	3,130	3,261
77	2,573	2,909	2,280	3,235	3,146	3,368
78	2,737	3,050	2,471	3,277	3,135	3,456
79	2,907	3,184	2,680	3,292	3,094	3,517
80	3,071	3,297	2,897	3,273	3,023	3,540
81	3,217	3,377	3,113	3,211	2,920	3,514
82	3,332	3,408	3,311	3,104	2,785	3,432
83	3,407	3,385	3,480	2,951	2,618	3,294
84	3,441	3,311	3,615	2,757	2,421	3,104
85	3,440	3,198	3,715	2,529	2,199	2,872
86	3,409	3,058	3,780	2,277	1,957	2,611
87	3,353	2,897	3,816	2,009	1,703	2,331
88	3,272	2,721	3,816	1,736	1,447	2,042
89	3,153	2,532	3,756	1,467	1,200	1,751
90	2,995	2,325	3,638	1,209	969	1,468
91	2,796	2,101	3,455	971	762	1,199
92	2,544	1,868	3,183	760	582	953
93	2,271	1,625	2,877	578	433	737
94	2,001	1,381	2,575	427	312	553
95	1,735	1,149	2,268	306	218.2	403
96	1,475	939	1,955	213.1	147.9	285.4
97	1,219	750	1,634	143.8	97.1	196
98	982	585	1,328	94.1	61.6	130.5
99	770	445	1,051	59.7	37.8	84.2
100	510	244.8	729	0	0	0

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 Argentina and East Timor 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
• Argentina vs East Timor: Data-driven Comparison

By topic vs comparisons:

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