Life Expectancy in Argentina vs East Timor (1950-2026)

Life expectancy by current age

Chart Table

Argentina

Male

Female

East Timor

Male

Female

1x

Current age, years	Total life expectancy, years
	Argentina			East Timor
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	101.7	101.7	101.8
99	101.7	101.4	101.8	100.8	100.7	100.9
98	100.8	100.6	100.9	99.9	99.8	100
97	100	99.8	100.1	99	98.9	99.1
96	99.2	99	99.3	98.1	98	98.2
95	98.4	98.2	98.5	97.2	97.1	97.3
94	97.6	97.3	97.7	96.4	96.2	96.4
93	96.9	96.6	97	95.5	95.4	95.6
92	96.1	95.8	96.3	94.6	94.5	94.7
91	95.4	95	95.6	93.8	93.7	93.9
90	94.7	94.3	94.9	93	92.8	93.1
89	94	93.6	94.2	92.2	92	92.3
88	93.4	92.9	93.6	91.4	91.2	91.5
87	92.7	92.2	93	90.6	90.4	90.8
86	92.1	91.5	92.4	89.9	89.7	90
85	91.5	90.8	91.8	89.1	88.9	89.3
84	90.9	90.2	91.3	88.4	88.2	88.6
83	90.3	89.5	90.8	87.7	87.5	87.9
82	89.8	88.9	90.3	87	86.8	87.2
81	89.3	88.3	89.8	86.4	86.1	86.6
80	88.8	87.8	89.4	85.7	85.5	86
79	88.3	87.2	89	85.1	84.8	85.4
78	87.9	86.7	88.6	84.5	84.2	84.8
77	87.4	86.2	88.3	84	83.6	84.3
76	87	85.8	87.9	83.4	83	83.7
75	86.6	85.3	87.6	82.9	82.5	83.2
74	86.3	84.9	87.3	82.4	81.9	82.8
73	85.9	84.5	87	81.9	81.4	82.3
72	85.5	84.1	86.7	81.4	80.9	81.9
71	85.2	83.7	86.4	81	80.4	81.4
70	84.9	83.3	86.1	80.5	80	81.1
69	84.6	82.9	85.9	80.1	79.5	80.7
68	84.2	82.6	85.6	79.7	79.1	80.3
67	83.9	82.2	85.4	79.3	78.7	80
66	83.7	81.9	85.2	79	78.3	79.7
65	83.4	81.6	84.9	78.6	77.9	79.3
64	83.1	81.3	84.7	78.3	77.5	79.1
63	82.9	81	84.5	78	77.2	78.8
62	82.7	80.7	84.3	77.7	76.8	78.5
61	82.4	80.5	84.2	77.4	76.5	78.3
60	82.2	80.3	84	77.1	76.2	78
59	82	80	83.8	76.8	75.9	77.8
58	81.8	79.8	83.7	76.6	75.6	77.6
57	81.7	79.6	83.5	76.4	75.4	77.4
56	81.5	79.4	83.4	76.1	75.1	77.2
55	81.3	79.3	83.3	75.9	74.9	77
54	81.2	79.1	83.1	75.7	74.6	76.8
53	81.1	78.9	83	75.5	74.4	76.7
52	80.9	78.8	82.9	75.3	74.2	76.5
51	80.8	78.7	82.8	75.1	74	76.3
50	80.7	78.5	82.7	75	73.8	76.2
49	80.6	78.4	82.6	74.8	73.7	76
48	80.5	78.3	82.5	74.7	73.5	75.9
47	80.4	78.2	82.5	74.5	73.3	75.8
46	80.3	78.1	82.4	74.4	73.2	75.6
45	80.2	78	82.3	74.3	73.1	75.5
44	80.2	77.9	82.2	74.1	72.9	75.4
43	80.1	77.9	82.2	74	72.8	75.3
42	80	77.8	82.1	73.9	72.7	75.2
41	80	77.7	82.1	73.8	72.6	75.1
40	79.9	77.6	82	73.7	72.5	75
39	79.8	77.6	82	73.6	72.4	74.9
38	79.8	77.5	81.9	73.5	72.3	74.8
37	79.7	77.5	81.9	73.4	72.2	74.7
36	79.7	77.4	81.8	73.3	72.1	74.7
35	79.6	77.3	81.8	73.2	72	74.6
34	79.6	77.3	81.7	73.2	71.9	74.5
33	79.5	77.2	81.7	73.1	71.8	74.4
32	79.5	77.2	81.7	73	71.7	74.3
31	79.4	77.1	81.6	72.9	71.7	74.3
30	79.4	77	81.6	72.8	71.6	74.2
29	79.3	77	81.6	72.8	71.5	74.1
28	79.3	76.9	81.5	72.7	71.4	74
27	79.2	76.9	81.5	72.6	71.3	74
26	79.2	76.8	81.5	72.5	71.3	73.9
25	79.1	76.7	81.4	72.5	71.2	73.8
24	79.1	76.7	81.4	72.4	71.1	73.8
23	79.1	76.6	81.4	72.3	71	73.7
22	79	76.6	81.4	72.2	70.9	73.6
21	79	76.5	81.3	72.1	70.8	73.6
20	78.9	76.4	81.3	72.1	70.7	73.5
19	78.9	76.3	81.3	72	70.6	73.4
18	78.8	76.3	81.2	71.9	70.6	73.4
17	78.8	76.2	81.2	71.9	70.5	73.3
16	78.7	76.2	81.2	71.8	70.4	73.3
15	78.7	76.2	81.2	71.8	70.4	73.3
14	78.7	76.2	81.2	71.7	70.3	73.2
13	78.7	76.1	81.1	71.7	70.3	73.2
12	78.7	76.1	81.1	71.6	70.2	73.1
11	78.7	76.1	81.1	71.6	70.2	73.1
10	78.6	76.1	81.1	71.6	70.2	73.1
9	78.6	76.1	81.1	71.5	70.1	73.1
8	78.6	76.1	81.1	71.5	70.1	73
7	78.6	76.1	81.1	71.4	70	73
6	78.6	76.1	81.1	71.4	70	72.9
5	78.6	76	81.1	71.3	69.9	72.9
4	78.6	76	81	71.2	69.8	72.8
3	78.6	76	81	71.1	69.7	72.7
2	78.5	76	81	70.9	69.5	72.5
1	78.5	76	81	70.7	69.3	72.3
0	77.8	75.3	80.3	68.3	66.7	70.1

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 72.8 in East Timor, rising to 83.4 and 78.6 at 65, and to 88.8 and 85.7 at 80 — higher than the 77.8 and 68.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Argentina

Male

Female

East Timor

Male

Female

1x

Age	Survival probability
	Argentina			East Timor
	Average	Male	Female	Average	Male	Female
100	1.96%	1.06%	2.73%	0.09%	0.05%	0.13%
99	2.74%	1.52%	3.8%	0.15%	0.09%	0.22%
98	3.74%	2.11%	5.15%	0.25%	0.15%	0.35%
97	4.98%	2.88%	6.8%	0.4%	0.25%	0.56%
96	6.48%	3.84%	8.79%	0.62%	0.41%	0.85%
95	8.24%	5.01%	11.1%	0.93%	0.63%	1.26%
94	10.3%	6.42%	13.7%	1.37%	0.95%	1.83%
93	12.6%	8.07%	16.6%	1.96%	1.39%	2.59%
92	15.1%	9.97%	19.8%	2.73%	1.98%	3.56%
91	18%	12.1%	23.3%	3.72%	2.76%	4.78%
90	21%	14.5%	26.9%	4.95%	3.74%	6.28%
89	24.2%	17%	30.7%	6.44%	4.96%	8.05%
88	27.5%	19.8%	34.6%	8.2%	6.42%	10.1%
87	30.8%	22.7%	38.4%	10.2%	8.15%	12.5%
86	34.3%	25.8%	42.2%	12.5%	10.1%	15.1%
85	37.7%	29%	45.9%	15.1%	12.3%	18%
84	41.2%	32.3%	49.5%	17.9%	14.8%	21.2%
83	44.6%	35.7%	53%	20.8%	17.4%	24.5%
82	47.9%	39.2%	56.3%	24%	20.2%	27.9%
81	51.1%	42.5%	59.4%	27.2%	23.2%	31.4%
80	54.2%	45.8%	62.3%	30.5%	26.2%	35%
79	57.1%	49%	65%	33.8%	29.3%	38.5%
78	59.8%	52.1%	67.4%	37%	32.5%	42%
77	62.4%	55%	69.7%	40.3%	35.6%	45.4%
76	64.8%	57.7%	71.8%	43.5%	38.7%	48.6%
75	67.1%	60.4%	73.7%	46.6%	41.8%	51.8%
74	69.2%	62.9%	75.5%	49.6%	44.9%	54.8%
73	71.3%	65.3%	77.2%	52.5%	47.8%	57.6%
72	73.2%	67.5%	78.8%	55.3%	50.7%	60.3%
71	75%	69.7%	80.3%	57.9%	53.4%	62.9%
70	76.7%	71.8%	81.6%	60.4%	56.1%	65.2%
69	78.3%	73.8%	82.9%	62.8%	58.6%	67.4%
68	79.9%	75.7%	84.1%	65%	61%	69.5%
67	81.3%	77.4%	85.2%	67.1%	63.2%	71.4%
66	82.6%	79.1%	86.3%	69%	65.4%	73.1%
65	83.9%	80.6%	87.2%	70.9%	67.4%	74.7%
64	85.1%	82%	88.1%	72.6%	69.3%	76.2%
63	86.1%	83.4%	89%	74.2%	71.1%	77.6%
62	87.1%	84.6%	89.8%	75.7%	72.7%	78.9%
61	88.1%	85.7%	90.5%	77%	74.3%	80%
60	88.9%	86.7%	91.1%	78.3%	75.8%	81.1%
59	89.7%	87.7%	91.8%	79.5%	77.1%	82.1%
58	90.4%	88.5%	92.3%	80.6%	78.4%	83%
57	91.1%	89.3%	92.8%	81.6%	79.6%	83.9%
56	91.7%	90.1%	93.3%	82.6%	80.7%	84.7%
55	92.2%	90.7%	93.7%	83.5%	81.7%	85.4%
54	92.7%	91.3%	94.1%	84.3%	82.6%	86.1%
53	93.1%	91.9%	94.5%	85%	83.5%	86.7%
52	93.6%	92.4%	94.8%	85.7%	84.2%	87.3%
51	93.9%	92.8%	95.1%	86.4%	85%	87.9%
50	94.3%	93.2%	95.4%	87%	85.6%	88.4%
49	94.6%	93.6%	95.7%	87.5%	86.3%	88.9%
48	94.9%	93.9%	95.9%	88%	86.8%	89.3%
47	95.2%	94.3%	96.2%	88.5%	87.3%	89.7%
46	95.4%	94.6%	96.4%	88.9%	87.8%	90.1%
45	95.7%	94.8%	96.5%	89.3%	88.3%	90.5%
44	95.9%	95%	96.7%	89.7%	88.7%	90.8%
43	96.1%	95.3%	96.9%	90.1%	89.1%	91.1%
42	96.2%	95.5%	97%	90.4%	89.4%	91.4%
41	96.4%	95.7%	97.2%	90.7%	89.7%	91.7%
40	96.5%	95.8%	97.3%	91%	90%	91.9%
39	96.7%	96%	97.4%	91.2%	90.3%	92.2%
38	96.8%	96.2%	97.5%	91.5%	90.6%	92.4%
37	96.9%	96.3%	97.6%	91.7%	90.8%	92.6%
36	97.1%	96.5%	97.7%	91.9%	91%	92.8%
35	97.2%	96.6%	97.8%	92.1%	91.3%	93%
34	97.3%	96.7%	97.9%	92.3%	91.5%	93.2%
33	97.4%	96.9%	98%	92.5%	91.7%	93.4%
32	97.5%	97%	98%	92.7%	91.9%	93.6%
31	97.6%	97.1%	98.1%	92.9%	92%	93.7%
30	97.7%	97.2%	98.2%	93%	92.2%	93.9%
29	97.8%	97.3%	98.2%	93.2%	92.4%	94%
28	97.9%	97.5%	98.3%	93.4%	92.6%	94.2%
27	97.9%	97.6%	98.3%	93.5%	92.8%	94.3%
26	98%	97.7%	98.4%	93.7%	92.9%	94.5%
25	98.1%	97.8%	98.4%	93.8%	93.1%	94.6%
24	98.2%	97.9%	98.5%	94%	93.3%	94.7%
23	98.3%	98%	98.5%	94.1%	93.5%	94.9%
22	98.4%	98.2%	98.6%	94.3%	93.6%	95%
21	98.5%	98.3%	98.6%	94.4%	93.8%	95.1%
20	98.5%	98.4%	98.7%	94.6%	94%	95.2%
19	98.6%	98.5%	98.7%	94.7%	94.1%	95.3%
18	98.7%	98.6%	98.8%	94.8%	94.2%	95.4%
17	98.8%	98.7%	98.8%	94.9%	94.4%	95.5%
16	98.8%	98.8%	98.8%	95%	94.5%	95.6%
15	98.8%	98.8%	98.9%	95.1%	94.6%	95.6%
14	98.9%	98.9%	98.9%	95.2%	94.7%	95.7%
13	98.9%	98.9%	98.9%	95.2%	94.7%	95.8%
12	98.9%	98.9%	98.9%	95.3%	94.8%	95.8%
11	98.9%	98.9%	99%	95.3%	94.9%	95.9%
10	98.9%	98.9%	99%	95.4%	94.9%	95.9%
9	99%	98.9%	99%	95.5%	95%	96%
8	99%	99%	99%	95.5%	95.1%	96%
7	99%	99%	99%	95.6%	95.1%	96.1%
6	99%	99%	99%	95.7%	95.2%	96.1%
5	99%	99%	99%	95.8%	95.3%	96.2%
4	99%	99%	99.1%	95.9%	95.5%	96.4%
3	99.1%	99.1%	99.1%	96.1%	95.7%	96.5%
2	99.1%	99.1%	99.1%	96.3%	95.9%	96.7%
1	99.1%	99.1%	99.2%	96.6%	96.2%	97%

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 78.3% in East Timor are expected to live past 60, 76.7% and 60.4% past 70, 54.2% and 30.5% past 80, and only 21% and 4.95% 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

East Timor

Male

Female

1x

Age	Probability of dying
	Argentina			East Timor
	Average	Male	Female	Average	Male	Female
100	30.3%	31.7%	30%	42.8%	44.7%	41.9%
99	28.6%	30%	28.2%	41%	42.9%	40.1%
98	26.7%	28.3%	26.2%	39.2%	41.1%	38.3%
97	24.9%	26.6%	24.4%	37.4%	39.2%	36.4%
96	23.1%	25%	22.6%	35.6%	37.4%	34.6%
95	21.4%	23.4%	20.7%	33.8%	35.5%	32.8%
94	19.8%	21.9%	19%	32%	33.6%	31%
93	18.3%	20.5%	17.5%	30.2%	31.8%	29.2%
92	17%	19%	16.2%	28.4%	29.9%	27.4%
91	15.7%	17.6%	15%	26.6%	28.1%	25.6%
90	14.4%	16.3%	13.6%	24.8%	26.3%	23.8%
89	13.2%	15.1%	12.3%	23.1%	24.5%	22.1%
88	12%	13.9%	11.1%	21.5%	22.8%	20.4%
87	10.9%	12.9%	9.97%	19.9%	21.1%	18.9%
86	10%	12%	8.98%	18.4%	19.5%	17.5%
85	9.16%	11.1%	8.1%	16.9%	18%	16.1%
84	8.39%	10.3%	7.3%	15.6%	16.5%	14.8%
83	7.66%	9.51%	6.56%	14.3%	15.1%	13.6%
82	6.96%	8.73%	5.87%	13%	13.9%	12.4%
81	6.29%	7.95%	5.23%	11.9%	12.7%	11.2%
80	5.66%	7.2%	4.64%	10.8%	11.6%	10.2%
79	5.08%	6.49%	4.11%	9.77%	10.6%	9.15%
78	4.56%	5.85%	3.65%	8.86%	9.69%	8.25%
77	4.11%	5.28%	3.26%	8.04%	8.86%	7.43%
76	3.72%	4.78%	2.92%	7.32%	8.1%	6.71%
75	3.38%	4.36%	2.64%	6.66%	7.4%	6.06%
74	3.1%	3.99%	2.4%	6.07%	6.76%	5.48%
73	2.85%	3.67%	2.19%	5.53%	6.17%	4.96%
72	2.63%	3.39%	2%	5.03%	5.63%	4.47%
71	2.43%	3.13%	1.83%	4.57%	5.14%	4.03%
70	2.24%	2.9%	1.68%	4.15%	4.69%	3.63%
69	2.07%	2.68%	1.54%	3.77%	4.29%	3.26%
68	1.91%	2.47%	1.42%	3.42%	3.92%	2.94%
67	1.76%	2.28%	1.3%	3.1%	3.58%	2.65%
66	1.62%	2.08%	1.2%	2.82%	3.27%	2.39%
65	1.49%	1.9%	1.11%	2.57%	3%	2.16%
64	1.37%	1.74%	1.03%	2.35%	2.74%	1.96%
63	1.25%	1.58%	0.95%	2.15%	2.51%	1.77%
62	1.15%	1.44%	0.87%	1.96%	2.3%	1.61%
61	1.05%	1.31%	0.8%	1.79%	2.11%	1.46%
60	0.96%	1.19%	0.73%	1.64%	1.93%	1.33%
59	0.87%	1.08%	0.67%	1.5%	1.77%	1.21%
58	0.79%	0.98%	0.61%	1.37%	1.62%	1.11%
57	0.72%	0.89%	0.55%	1.26%	1.48%	1.02%
56	0.65%	0.8%	0.5%	1.15%	1.35%	0.94%
55	0.59%	0.73%	0.46%	1.06%	1.23%	0.86%
54	0.54%	0.66%	0.42%	0.97%	1.12%	0.8%
53	0.49%	0.59%	0.38%	0.89%	1.02%	0.74%
52	0.44%	0.54%	0.35%	0.81%	0.93%	0.68%
51	0.41%	0.49%	0.32%	0.75%	0.85%	0.63%
50	0.37%	0.45%	0.3%	0.69%	0.78%	0.58%
49	0.34%	0.41%	0.28%	0.63%	0.71%	0.54%
48	0.31%	0.37%	0.25%	0.58%	0.65%	0.5%
47	0.28%	0.33%	0.23%	0.53%	0.6%	0.46%
46	0.26%	0.3%	0.21%	0.49%	0.55%	0.43%
45	0.23%	0.27%	0.19%	0.45%	0.5%	0.39%
44	0.21%	0.25%	0.18%	0.41%	0.46%	0.37%
43	0.2%	0.23%	0.16%	0.38%	0.42%	0.34%
42	0.18%	0.21%	0.15%	0.35%	0.39%	0.32%
41	0.17%	0.2%	0.14%	0.33%	0.36%	0.3%
40	0.16%	0.18%	0.13%	0.31%	0.33%	0.28%
39	0.15%	0.18%	0.12%	0.29%	0.31%	0.26%
38	0.14%	0.17%	0.11%	0.27%	0.29%	0.25%
37	0.13%	0.16%	0.11%	0.25%	0.27%	0.23%
36	0.12%	0.15%	0.1%	0.24%	0.26%	0.22%
35	0.12%	0.14%	0.09%	0.23%	0.24%	0.21%
34	0.11%	0.14%	0.08%	0.22%	0.23%	0.2%
33	0.11%	0.13%	0.08%	0.21%	0.22%	0.19%
32	0.1%	0.13%	0.07%	0.2%	0.21%	0.18%
31	0.1%	0.12%	0.07%	0.19%	0.2%	0.18%
30	0.09%	0.12%	0.06%	0.18%	0.2%	0.17%
29	0.09%	0.12%	0.06%	0.18%	0.19%	0.16%
28	0.09%	0.12%	0.06%	0.17%	0.19%	0.16%
27	0.09%	0.12%	0.06%	0.17%	0.19%	0.15%
26	0.09%	0.12%	0.05%	0.17%	0.19%	0.15%
25	0.09%	0.12%	0.05%	0.17%	0.19%	0.14%
24	0.09%	0.12%	0.05%	0.16%	0.19%	0.14%
23	0.09%	0.12%	0.05%	0.16%	0.19%	0.13%
22	0.09%	0.12%	0.05%	0.16%	0.19%	0.13%
21	0.09%	0.13%	0.05%	0.15%	0.18%	0.12%
20	0.09%	0.12%	0.05%	0.14%	0.17%	0.12%
19	0.08%	0.12%	0.05%	0.13%	0.16%	0.11%
18	0.07%	0.1%	0.04%	0.12%	0.15%	0.1%
17	0.06%	0.08%	0.04%	0.11%	0.13%	0.09%
16	0.05%	0.06%	0.04%	0.1%	0.11%	0.08%
15	0.04%	0.05%	0.03%	0.09%	0.1%	0.07%
14	0.03%	0.03%	0.03%	0.08%	0.09%	0.06%
13	0.02%	0.02%	0.02%	0.07%	0.08%	0.06%
12	0.02%	0.02%	0.02%	0.06%	0.07%	0.05%
11	0.02%	0.02%	0.02%	0.06%	0.07%	0.05%
10	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
9	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
8	0.01%	0.01%	0.01%	0.07%	0.08%	0.06%
7	0.01%	0.02%	0.01%	0.07%	0.09%	0.06%
6	0.02%	0.02%	0.02%	0.09%	0.1%	0.08%
5	0.02%	0.02%	0.02%	0.11%	0.12%	0.1%
4	0.02%	0.02%	0.02%	0.14%	0.15%	0.12%
3	0.03%	0.03%	0.03%	0.18%	0.19%	0.17%
2	0.03%	0.03%	0.04%	0.24%	0.25%	0.22%
1	0.04%	0.04%	0.05%	0.31%	0.32%	0.31%
0	0.85%	0.88%	0.83%	3.39%	3.78%	2.97%

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

The annual chance of dying is 0.85% in the birth year in Argentina and 3.39% in East Timor, 0.09% vs 0.18% at age 30, 0.96% vs 1.64% at 60, and 5.66% vs 10.8% at 80.

Death rate by age in Argentina vs East Timor

Chart Table

Argentina

Male

Female

East Timor

Male

Female

1x

Age	Death rate
	Argentina			East Timor
	Total	Male	Female	Total	Male	Female
100	520	252.3	745	0	0	0
99	784	455	1,070	61.8	39	87.4
98	998	599	1,350	97.3	63.4	135.2
97	1,238	767	1,658	148.3	99.6	202.6
96	1,497	959	1,982	219.3	151.6	294.2
95	1,759	1,172	2,297	314	223.2	415
94	2,028	1,408	2,604	437	319	567
93	2,300	1,654	2,907	591	441	754
92	2,573	1,898	3,211	775	593	974
91	2,825	2,133	3,482	990	775	1,222
90	3,023	2,357	3,661	1,230	984	1,493
89	3,178	2,564	3,776	1,489	1,217	1,778
88	3,294	2,752	3,833	1,760	1,466	2,070
87	3,373	2,926	3,829	2,034	1,723	2,360
86	3,425	3,083	3,789	2,301	1,977	2,639
85	3,453	3,220	3,720	2,553	2,220	2,899
84	3,451	3,329	3,616	2,780	2,442	3,129
83	3,414	3,399	3,478	2,972	2,637	3,316
82	3,336	3,417	3,307	3,121	2,803	3,452
81	3,218	3,382	3,106	3,224	2,937	3,530
80	3,068	3,299	2,889	3,282	3,038	3,553
79	2,902	3,182	2,670	3,299	3,108	3,527
78	2,731	3,045	2,461	3,282	3,146	3,463
77	2,565	2,902	2,269	3,240	3,155	3,372
76	2,411	2,761	2,097	3,180	3,138	3,263
75	2,270	2,629	1,945	3,104	3,095	3,139
74	2,145	2,508	1,810	3,011	3,032	3,003
73	2,030	2,396	1,688	2,903	2,951	2,856
72	1,922	2,289	1,575	2,781	2,855	2,699
71	1,819	2,185	1,469	2,648	2,747	2,535
70	1,720	2,082	1,369	2,509	2,632	2,368
69	1,623	1,979	1,277	2,366	2,511	2,201
68	1,528	1,872	1,191	2,223	2,387	2,041
67	1,434	1,762	1,111	2,083	2,263	1,889
66	1,342	1,649	1,037	1,950	2,139	1,746
65	1,251	1,535	968	1,824	2,018	1,614
64	1,164	1,424	904	1,705	1,900	1,491
63	1,080	1,317	842	1,592	1,785	1,377
62	999	1,216	782	1,484	1,675	1,270
61	922	1,121	723	1,382	1,568	1,171
60	850	1,032	667	1,285	1,465	1,080
59	781	948	613	1,194	1,366	997
58	716	869	562	1,108	1,270	921
57	654	794	515	1,027	1,177	853
56	597	723	470	951	1,089	792
55	544	658	430	881	1,005	737
54	497	598	394	815	927	686
53	454	545	362	755	854	640
52	416	497	334	698	787	596
51	382	454	308	645	725	555
50	351	415	285.3	596	668	516
49	323	379	263.7	550	616	479
48	295.6	346	243.3	508	567	445
47	270.1	315	223.7	469	522	413
46	246.2	285.9	205.1	433	481	383
45	224.3	259.7	187.8	400	442	356
44	204.9	236.5	172.1	370	407	332
43	188.1	216.9	158.3	343	375	310
42	174.1	200.8	146.5	319	347	289.8
41	162.5	187.7	136.2	297	321	272.2
40	152.7	177.1	127.2	277.7	298.5	256.3
39	144	168	118.9	260.5	278.6	242
38	136.1	160	111.1	245.2	261.2	229
37	128.5	152.6	103.3	231.6	246	217.1
36	121.2	145.5	95.8	219.4	232.7	206.2
35	114.4	139	88.6	208.5	221	196.1
34	108.1	133	82	198.8	210.7	186.9
33	102.6	128	76.1	190	201.5	178.6
32	98.2	124.1	71.1	182.2	193.3	171.2
31	94.7	121.2	66.9	175.4	186.3	164.5
30	92	119.3	63.5	169.5	180.5	158.5
29	89.8	117.9	60.4	164.8	176.2	153
28	88	117	57.6	161	173.6	148.1
27	86.4	116.3	55.1	158.3	172.7	143.4
26	85.1	116	52.7	156.3	173.3	139
25	84.2	116.3	50.6	155	174.7	134.7
24	83.9	117.2	49	153.7	176.2	130.4
23	84.5	119.4	47.9	151.8	176.7	126
22	85.6	122	47.4	148.8	175.2	121.3
21	86.6	123.9	47.2	143.9	170.7	116.1
20	85.9	122.9	46.9	137	162.8	110.2
19	82	116.1	45.9	127.8	151.5	103.2
18	73.8	102.2	43.6	116.8	137.5	95.3
17	62.3	83.4	40	104.7	122.1	86.7
16	49.6	63.1	35.2	92.5	106.7	77.8
15	38.2	45.8	30.1	81.3	92.6	69.4
14	29.1	32.7	25.1	71.6	80.9	61.9
13	22.6	24.1	21	64.2	72.1	55.9
12	18.2	18.8	17.7	59	66.1	51.5
11	15.5	15.7	15.3	56.2	63.1	48.9
10	14	14.1	13.8	55.7	62.9	48.3
9	13.4	13.8	13	57.8	65.7	49.8
8	13.6	14.2	13.1	62.9	71.6	53.8
7	14.6	15.3	13.8	71.5	81.4	61.3
6	16.4	17.2	15.5	84.9	96	73.4
5	19	19.7	18.3	104.6	116.8	91.9
4	22.7	22.9	22.5	132.9	145.7	119.4
3	27.6	26.9	28.4	172.5	184.8	159.4
2	34.2	31.8	36.6	227.1	237.1	216.5
1	42.6	37.8	47.7	301	306	296.6
0	851	876	826	3,388	3,779	2,971

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 0 in East Timor. The median age of death is 81.4 in Argentina and 73.9 in East Timor, 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 East Timor more than their death rates.

Life expectancy in other countries

+ -

1x