Life Expectancy in Argentina vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Argentina

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Argentina			Lithuania
	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	100.1	100.2
97	100	99.8	100.1	99.3	99.2	99.3
96	99.2	99	99.3	98.5	98.4	98.5
95	98.4	98.2	98.5	97.7	97.6	97.7
94	97.6	97.3	97.7	96.9	96.7	96.9
93	96.9	96.6	97	96.1	95.9	96.1
92	96.1	95.8	96.3	95.4	95.2	95.4
91	95.4	95	95.6	94.6	94.4	94.7
90	94.7	94.3	94.9	94	93.7	94
89	94	93.6	94.2	93.3	93	93.4
88	93.4	92.9	93.6	92.6	92.3	92.7
87	92.7	92.2	93	92	91.6	92.1
86	92.1	91.5	92.4	91.4	90.9	91.6
85	91.5	90.8	91.8	90.8	90.3	91
84	90.9	90.2	91.3	90.3	89.7	90.5
83	90.3	89.5	90.8	89.8	89.1	90
82	89.8	88.9	90.3	89.3	88.5	89.6
81	89.3	88.3	89.8	88.8	88	89.2
80	88.8	87.8	89.4	88.4	87.4	88.8
79	88.3	87.2	89	88	86.9	88.4
78	87.9	86.7	88.6	87.5	86.4	88.1
77	87.4	86.2	88.3	87.1	85.8	87.8
76	87	85.8	87.9	86.8	85.3	87.5
75	86.6	85.3	87.6	86.4	84.8	87.2
74	86.3	84.9	87.3	86	84.3	86.9
73	85.9	84.5	87	85.6	83.8	86.6
72	85.5	84.1	86.7	85.3	83.3	86.4
71	85.2	83.7	86.4	84.9	82.9	86.1
70	84.9	83.3	86.1	84.6	82.4	85.9
69	84.6	82.9	85.9	84.2	81.9	85.7
68	84.2	82.6	85.6	83.9	81.5	85.5
67	83.9	82.2	85.4	83.6	81	85.3
66	83.7	81.9	85.2	83.3	80.6	85.1
65	83.4	81.6	84.9	82.9	80.2	84.9
64	83.1	81.3	84.7	82.6	79.8	84.7
63	82.9	81	84.5	82.3	79.4	84.5
62	82.7	80.7	84.3	82.1	79	84.3
61	82.4	80.5	84.2	81.8	78.7	84.2
60	82.2	80.3	84	81.5	78.3	84
59	82	80	83.8	81.3	78	83.9
58	81.8	79.8	83.7	81.1	77.7	83.7
57	81.7	79.6	83.5	80.9	77.4	83.6
56	81.5	79.4	83.4	80.7	77.2	83.5
55	81.3	79.3	83.3	80.4	76.9	83.4
54	81.2	79.1	83.1	80.2	76.6	83.3
53	81.1	78.9	83	80.1	76.4	83.2
52	80.9	78.8	82.9	79.9	76.2	83.1
51	80.8	78.7	82.8	79.7	75.9	82.9
50	80.7	78.5	82.7	79.5	75.7	82.9
49	80.6	78.4	82.6	79.4	75.5	82.8
48	80.5	78.3	82.5	79.2	75.3	82.7
47	80.4	78.2	82.5	79.1	75.1	82.6
46	80.3	78.1	82.4	78.9	74.9	82.5
45	80.2	78	82.3	78.8	74.8	82.4
44	80.2	77.9	82.2	78.7	74.6	82.3
43	80.1	77.9	82.2	78.5	74.4	82.3
42	80	77.8	82.1	78.4	74.3	82.2
41	80	77.7	82.1	78.3	74.1	82.2
40	79.9	77.6	82	78.2	74	82.1
39	79.8	77.6	82	78.1	73.9	82
38	79.8	77.5	81.9	78	73.7	82
37	79.7	77.5	81.9	77.9	73.6	81.9
36	79.7	77.4	81.8	77.8	73.5	81.9
35	79.6	77.3	81.8	77.7	73.4	81.9
34	79.6	77.3	81.7	77.6	73.3	81.8
33	79.5	77.2	81.7	77.6	73.2	81.8
32	79.5	77.2	81.7	77.5	73.1	81.7
31	79.4	77.1	81.6	77.4	73	81.7
30	79.4	77	81.6	77.4	72.9	81.7
29	79.3	77	81.6	77.3	72.8	81.7
28	79.3	76.9	81.5	77.3	72.7	81.6
27	79.2	76.9	81.5	77.2	72.7	81.6
26	79.2	76.8	81.5	77.2	72.6	81.6
25	79.1	76.7	81.4	77.1	72.6	81.6
24	79.1	76.7	81.4	77.1	72.5	81.6
23	79.1	76.6	81.4	77.1	72.5	81.5
22	79	76.6	81.4	77	72.4	81.5
21	79	76.5	81.3	77	72.4	81.5
20	78.9	76.4	81.3	77	72.3	81.5
19	78.9	76.3	81.3	76.9	72.3	81.5
18	78.8	76.3	81.2	76.9	72.2	81.4
17	78.8	76.2	81.2	76.9	72.2	81.4
16	78.7	76.2	81.2	76.9	72.2	81.4
15	78.7	76.2	81.2	76.8	72.2	81.4
14	78.7	76.2	81.2	76.8	72.2	81.4
13	78.7	76.1	81.1	76.8	72.1	81.4
12	78.7	76.1	81.1	76.8	72.1	81.4
11	78.7	76.1	81.1	76.8	72.1	81.4
10	78.6	76.1	81.1	76.8	72.1	81.4
9	78.6	76.1	81.1	76.8	72.1	81.4
8	78.6	76.1	81.1	76.8	72.1	81.3
7	78.6	76.1	81.1	76.8	72.1	81.3
6	78.6	76.1	81.1	76.8	72.1	81.3
5	78.6	76	81.1	76.8	72.1	81.3
4	78.6	76	81	76.7	72.1	81.3
3	78.6	76	81	76.7	72.1	81.3
2	78.5	76	81	76.7	72	81.3
1	78.5	76	81	76.7	72	81.3
0	77.8	75.3	80.3	76.5	71.8	81.1

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 77.4 in Lithuania, rising to 83.4 and 82.9 at 65, and to 88.8 and 88.4 at 80 — higher than the 77.8 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Argentina

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Argentina			Lithuania
	Average	Male	Female	Average	Male	Female
100	1.96%	1.06%	2.73%	0.83%	0.39%	1.21%
99	2.74%	1.52%	3.8%	1.32%	0.62%	1.92%
98	3.74%	2.11%	5.15%	2.01%	0.95%	2.92%
97	4.98%	2.88%	6.8%	2.95%	1.42%	4.28%
96	6.48%	3.84%	8.79%	4.19%	2.04%	6.06%
95	8.24%	5.01%	11.1%	5.75%	2.85%	8.27%
94	10.3%	6.42%	13.7%	7.68%	3.93%	11%
93	12.6%	8.07%	16.6%	10%	5.28%	14.2%
92	15.1%	9.97%	19.8%	12.6%	6.79%	17.7%
91	18%	12.1%	23.3%	15.4%	8.41%	21.6%
90	21%	14.5%	26.9%	18.6%	10.4%	25.8%
89	24.2%	17%	30.7%	21.9%	12.6%	30.1%
88	27.5%	19.8%	34.6%	25.3%	14.8%	34.6%
87	30.8%	22.7%	38.4%	28.8%	17.3%	39.2%
86	34.3%	25.8%	42.2%	32.4%	19.9%	43.6%
85	37.7%	29%	45.9%	35.8%	22.5%	47.9%
84	41.2%	32.3%	49.5%	39.2%	25.1%	51.9%
83	44.6%	35.7%	53%	42.4%	27.8%	55.7%
82	47.9%	39.2%	56.3%	45.4%	30.5%	59.1%
81	51.1%	42.5%	59.4%	48.3%	33.2%	62.3%
80	54.2%	45.8%	62.3%	51.1%	35.8%	65.3%
79	57.1%	49%	65%	53.6%	38.4%	67.9%
78	59.8%	52.1%	67.4%	56%	40.9%	70.3%
77	62.4%	55%	69.7%	58.3%	43.5%	72.5%
76	64.8%	57.7%	71.8%	60.6%	46.1%	74.5%
75	67.1%	60.4%	73.7%	62.7%	48.6%	76.3%
74	69.2%	62.9%	75.5%	64.7%	51.1%	78.1%
73	71.3%	65.3%	77.2%	66.7%	53.5%	79.6%
72	73.2%	67.5%	78.8%	68.6%	55.9%	81.1%
71	75%	69.7%	80.3%	70.4%	58.2%	82.4%
70	76.7%	71.8%	81.6%	72.1%	60.5%	83.6%
69	78.3%	73.8%	82.9%	73.7%	62.7%	84.8%
68	79.9%	75.7%	84.1%	75.3%	64.9%	85.9%
67	81.3%	77.4%	85.2%	76.8%	67%	86.9%
66	82.6%	79.1%	86.3%	78.3%	69.1%	87.9%
65	83.9%	80.6%	87.2%	79.8%	71.1%	88.8%
64	85.1%	82%	88.1%	81.1%	73%	89.6%
63	86.1%	83.4%	89%	82.3%	74.8%	90.3%
62	87.1%	84.6%	89.8%	83.5%	76.4%	91%
61	88.1%	85.7%	90.5%	84.6%	78%	91.7%
60	88.9%	86.7%	91.1%	85.7%	79.5%	92.3%
59	89.7%	87.7%	91.8%	86.6%	80.8%	92.8%
58	90.4%	88.5%	92.3%	87.5%	82.1%	93.3%
57	91.1%	89.3%	92.8%	88.3%	83.2%	93.7%
56	91.7%	90.1%	93.3%	89%	84.4%	94.1%
55	92.2%	90.7%	93.7%	89.8%	85.4%	94.5%
54	92.7%	91.3%	94.1%	90.5%	86.4%	94.9%
53	93.1%	91.9%	94.5%	91.1%	87.4%	95.3%
52	93.6%	92.4%	94.8%	91.7%	88.2%	95.6%
51	93.9%	92.8%	95.1%	92.3%	89%	95.9%
50	94.3%	93.2%	95.4%	92.8%	89.7%	96.2%
49	94.6%	93.6%	95.7%	93.3%	90.4%	96.5%
48	94.9%	93.9%	95.9%	93.7%	91.1%	96.7%
47	95.2%	94.3%	96.2%	94.2%	91.8%	97%
46	95.4%	94.6%	96.4%	94.6%	92.3%	97.2%
45	95.7%	94.8%	96.5%	95%	92.9%	97.4%
44	95.9%	95%	96.7%	95.4%	93.4%	97.6%
43	96.1%	95.3%	96.9%	95.7%	93.9%	97.8%
42	96.2%	95.5%	97%	96%	94.3%	97.9%
41	96.4%	95.7%	97.2%	96.3%	94.8%	98%
40	96.5%	95.8%	97.3%	96.6%	95.2%	98.2%
39	96.7%	96%	97.4%	96.9%	95.6%	98.3%
38	96.8%	96.2%	97.5%	97.1%	96%	98.4%
37	96.9%	96.3%	97.6%	97.4%	96.3%	98.5%
36	97.1%	96.5%	97.7%	97.6%	96.6%	98.6%
35	97.2%	96.6%	97.8%	97.8%	96.9%	98.7%
34	97.3%	96.7%	97.9%	97.9%	97.1%	98.8%
33	97.4%	96.9%	98%	98.1%	97.4%	98.9%
32	97.5%	97%	98%	98.3%	97.6%	99%
31	97.6%	97.1%	98.1%	98.4%	97.8%	99%
30	97.7%	97.2%	98.2%	98.5%	98%	99.1%
29	97.8%	97.3%	98.2%	98.6%	98.2%	99.1%
28	97.9%	97.5%	98.3%	98.7%	98.3%	99.2%
27	97.9%	97.6%	98.3%	98.8%	98.5%	99.2%
26	98%	97.7%	98.4%	98.9%	98.6%	99.2%
25	98.1%	97.8%	98.4%	99%	98.7%	99.3%
24	98.2%	97.9%	98.5%	99.1%	98.8%	99.3%
23	98.3%	98%	98.5%	99.1%	98.9%	99.3%
22	98.4%	98.2%	98.6%	99.2%	99%	99.4%
21	98.5%	98.3%	98.6%	99.2%	99.1%	99.4%
20	98.5%	98.4%	98.7%	99.3%	99.2%	99.4%
19	98.6%	98.5%	98.7%	99.4%	99.3%	99.5%
18	98.7%	98.6%	98.8%	99.4%	99.4%	99.5%
17	98.8%	98.7%	98.8%	99.5%	99.4%	99.5%
16	98.8%	98.8%	98.8%	99.5%	99.4%	99.5%
15	98.8%	98.8%	98.9%	99.5%	99.5%	99.5%
14	98.9%	98.9%	98.9%	99.5%	99.5%	99.6%
13	98.9%	98.9%	98.9%	99.6%	99.5%	99.6%
12	98.9%	98.9%	98.9%	99.6%	99.6%	99.6%
11	98.9%	98.9%	99%	99.6%	99.6%	99.6%
10	98.9%	98.9%	99%	99.6%	99.6%	99.6%
9	99%	98.9%	99%	99.6%	99.6%	99.6%
8	99%	99%	99%	99.6%	99.6%	99.6%
7	99%	99%	99%	99.6%	99.6%	99.6%
6	99%	99%	99%	99.6%	99.6%	99.7%
5	99%	99%	99%	99.6%	99.6%	99.7%
4	99%	99%	99.1%	99.7%	99.6%	99.7%
3	99.1%	99.1%	99.1%	99.7%	99.7%	99.7%
2	99.1%	99.1%	99.1%	99.7%	99.7%	99.7%
1	99.1%	99.1%	99.2%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 85.7% in Lithuania are expected to live past 60, 76.7% and 72.1% past 70, 54.2% and 51.1% past 80, and only 21% and 18.6% 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

Lithuania

Male

Female

1x

Age	Probability of dying
	Argentina			Lithuania
	Average	Male	Female	Average	Male	Female
100	30.3%	31.7%	30%	39.3%	39.3%	39.3%
99	28.6%	30%	28.2%	36.9%	37.2%	36.8%
98	26.7%	28.3%	26.2%	34.4%	35%	34.3%
97	24.9%	26.6%	24.4%	32%	32.8%	31.8%
96	23.1%	25%	22.6%	29.6%	30.6%	29.3%
95	21.4%	23.4%	20.7%	27.1%	28.5%	26.8%
94	19.8%	21.9%	19%	25.2%	27.3%	24.6%
93	18.3%	20.5%	17.5%	23.2%	25.7%	22.5%
92	17%	19%	16.2%	20.7%	22.1%	20.2%
91	15.7%	17.6%	15%	18.3%	19.3%	18%
90	14.4%	16.3%	13.6%	16.8%	19.1%	16.1%
89	13.2%	15.1%	12.3%	15.2%	17.3%	14.5%
88	12%	13.9%	11.1%	13.5%	15.1%	13%
87	10.9%	12.9%	9.97%	12.3%	14.4%	11.6%
86	10%	12%	8.98%	11%	13.1%	10.2%
85	9.16%	11.1%	8.1%	9.6%	11.4%	8.93%
84	8.39%	10.3%	7.3%	8.47%	10.4%	7.75%
83	7.66%	9.51%	6.56%	7.54%	9.67%	6.7%
82	6.96%	8.73%	5.87%	6.69%	8.81%	5.82%
81	6.29%	7.95%	5.23%	6.01%	8.11%	5.12%
80	5.66%	7.2%	4.64%	5.41%	7.44%	4.51%
79	5.08%	6.49%	4.11%	4.77%	6.65%	3.91%
78	4.56%	5.85%	3.65%	4.3%	6.23%	3.39%
77	4.11%	5.28%	3.26%	3.98%	6%	2.98%
76	3.72%	4.78%	2.92%	3.69%	5.61%	2.7%
75	3.38%	4.36%	2.64%	3.4%	5.16%	2.45%
74	3.1%	3.99%	2.4%	3.14%	4.82%	2.19%
73	2.85%	3.67%	2.19%	2.93%	4.53%	1.99%
72	2.63%	3.39%	2%	2.74%	4.26%	1.82%
71	2.43%	3.13%	1.83%	2.54%	4.02%	1.6%
70	2.24%	2.9%	1.68%	2.35%	3.77%	1.44%
69	2.07%	2.68%	1.54%	2.23%	3.51%	1.37%
68	1.91%	2.47%	1.42%	2.11%	3.33%	1.26%
67	1.76%	2.28%	1.3%	2.01%	3.19%	1.16%
66	1.62%	2.08%	1.2%	1.92%	3.03%	1.11%
65	1.49%	1.9%	1.11%	1.79%	2.81%	1.01%
64	1.37%	1.74%	1.03%	1.64%	2.58%	0.9%
63	1.25%	1.58%	0.95%	1.52%	2.36%	0.83%
62	1.15%	1.44%	0.87%	1.41%	2.17%	0.78%
61	1.05%	1.31%	0.8%	1.31%	2.01%	0.71%
60	0.96%	1.19%	0.73%	1.2%	1.86%	0.63%
59	0.87%	1.08%	0.67%	1.09%	1.69%	0.58%
58	0.79%	0.98%	0.61%	0.98%	1.48%	0.54%
57	0.72%	0.89%	0.55%	0.91%	1.39%	0.47%
56	0.65%	0.8%	0.5%	0.86%	1.34%	0.42%
55	0.59%	0.73%	0.46%	0.83%	1.26%	0.42%
54	0.54%	0.66%	0.42%	0.78%	1.16%	0.42%
53	0.49%	0.59%	0.38%	0.7%	1.06%	0.36%
52	0.44%	0.54%	0.35%	0.65%	0.97%	0.34%
51	0.41%	0.49%	0.32%	0.61%	0.88%	0.34%
50	0.37%	0.45%	0.3%	0.56%	0.83%	0.29%
49	0.34%	0.41%	0.28%	0.53%	0.78%	0.27%
48	0.31%	0.37%	0.25%	0.51%	0.74%	0.27%
47	0.28%	0.33%	0.23%	0.48%	0.69%	0.25%
46	0.26%	0.3%	0.21%	0.44%	0.64%	0.23%
45	0.23%	0.27%	0.19%	0.41%	0.6%	0.2%
44	0.21%	0.25%	0.18%	0.38%	0.54%	0.2%
43	0.2%	0.23%	0.16%	0.35%	0.5%	0.19%
42	0.18%	0.21%	0.15%	0.33%	0.49%	0.16%
41	0.17%	0.2%	0.14%	0.31%	0.47%	0.13%
40	0.16%	0.18%	0.13%	0.28%	0.42%	0.13%
39	0.15%	0.18%	0.12%	0.28%	0.41%	0.13%
38	0.14%	0.17%	0.11%	0.27%	0.4%	0.12%
37	0.13%	0.16%	0.11%	0.23%	0.33%	0.11%
36	0.12%	0.15%	0.1%	0.21%	0.3%	0.1%
35	0.12%	0.14%	0.09%	0.2%	0.29%	0.09%
34	0.11%	0.14%	0.08%	0.19%	0.28%	0.09%
33	0.11%	0.13%	0.08%	0.18%	0.26%	0.09%
32	0.1%	0.13%	0.07%	0.15%	0.23%	0.06%
31	0.1%	0.12%	0.07%	0.13%	0.2%	0.06%
30	0.09%	0.12%	0.06%	0.13%	0.19%	0.06%
29	0.09%	0.12%	0.06%	0.13%	0.2%	0.05%
28	0.09%	0.12%	0.06%	0.11%	0.18%	0.04%
27	0.09%	0.12%	0.06%	0.09%	0.14%	0.04%
26	0.09%	0.12%	0.05%	0.08%	0.13%	0.04%
25	0.09%	0.12%	0.05%	0.08%	0.12%	0.03%
24	0.09%	0.12%	0.05%	0.07%	0.11%	0.03%
23	0.09%	0.12%	0.05%	0.07%	0.1%	0.03%
22	0.09%	0.12%	0.05%	0.06%	0.09%	0.03%
21	0.09%	0.13%	0.05%	0.06%	0.08%	0.03%
20	0.09%	0.12%	0.05%	0.06%	0.08%	0.03%
19	0.08%	0.12%	0.05%	0.06%	0.09%	0.03%
18	0.07%	0.1%	0.04%	0.05%	0.07%	0.03%
17	0.06%	0.08%	0.04%	0.03%	0.04%	0.02%
16	0.05%	0.06%	0.04%	0.03%	0.05%	0.02%
15	0.04%	0.05%	0.03%	0.03%	0.04%	0.02%
14	0.03%	0.03%	0.03%	0.03%	0.03%	0.02%
13	0.02%	0.02%	0.02%	0.02%	0.02%	0.02%
12	0.02%	0.02%	0.02%	0.01%	0.02%	0.01%
11	0.02%	0.02%	0.02%	0.01%	0.02%	0.008%
10	0.01%	0.01%	0.01%	0.01%	0.01%	0.01%
9	0.01%	0.01%	0.01%	0.01%	0.009%	0.01%
8	0.01%	0.01%	0.01%	0.01%	0.01%	0.01%
7	0.01%	0.02%	0.01%	0.01%	0.01%	0.01%
6	0.02%	0.02%	0.02%	0.01%	0.009%	0.01%
5	0.02%	0.02%	0.02%	0.009%	0.009%	0.01%
4	0.02%	0.02%	0.02%	0.01%	0.01%	0.01%
3	0.03%	0.03%	0.03%	0.01%	0.01%	0.01%
2	0.03%	0.03%	0.04%	0.01%	0.01%	0.01%
1	0.04%	0.04%	0.05%	0.03%	0.02%	0.03%
0	0.85%	0.88%	0.83%	0.29%	0.3%	0.28%

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

The annual chance of dying is 0.85% in the birth year in Argentina and 0.29% in Lithuania, 0.09% vs 0.13% at age 30, 0.96% vs 1.2% at 60, and 5.66% vs 5.41% at 80.

Death rate by age in Argentina vs Lithuania

Chart Table

Argentina

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Argentina			Lithuania
	Total	Male	Female	Total	Male	Female
100	520	252.3	745	174.6	56.5	274.1
99	784	455	1,070	485	230.3	706
98	998	599	1,350	690	333	1,000
97	1,238	767	1,658	945	465	1,362
96	1,497	959	1,982	1,240	624	1,777
95	1,759	1,172	2,297	1,559	812	2,213
94	2,028	1,408	2,604	1,933	1,074	2,695
93	2,300	1,654	2,907	2,322	1,356	3,186
92	2,573	1,898	3,211	2,605	1,503	3,588
91	2,825	2,133	3,482	2,822	1,627	3,887
90	3,023	2,357	3,661	3,119	1,989	4,148
89	3,178	2,564	3,776	3,315	2,179	4,361
88	3,294	2,752	3,833	3,420	2,242	4,500
87	3,373	2,926	3,829	3,556	2,501	4,539
86	3,425	3,083	3,789	3,561	2,606	4,462
85	3,453	3,220	3,720	3,442	2,562	4,282
84	3,451	3,329	3,616	3,319	2,605	4,028
83	3,414	3,399	3,478	3,194	2,688	3,733
82	3,336	3,417	3,307	3,036	2,683	3,441
81	3,218	3,382	3,106	2,903	2,691	3,191
80	3,068	3,299	2,889	2,761	2,665	2,945
79	2,902	3,182	2,670	2,559	2,550	2,657
78	2,731	3,045	2,461	2,410	2,551	2,381
77	2,565	2,902	2,269	2,321	2,611	2,161
76	2,411	2,761	2,097	2,234	2,586	2,009
75	2,270	2,629	1,945	2,134	2,512	1,873
74	2,145	2,508	1,810	2,030	2,466	1,712
73	2,030	2,396	1,688	1,953	2,423	1,589
72	1,922	2,289	1,575	1,881	2,380	1,473
71	1,819	2,185	1,469	1,785	2,341	1,322
70	1,720	2,082	1,369	1,696	2,284	1,202
69	1,623	1,979	1,277	1,642	2,203	1,159
68	1,528	1,872	1,191	1,590	2,161	1,081
67	1,434	1,762	1,111	1,542	2,140	1,004
66	1,342	1,649	1,037	1,507	2,091	975
65	1,251	1,535	968	1,429	2,002	900
64	1,164	1,424	904	1,330	1,887	809
63	1,080	1,317	842	1,248	1,765	754
62	999	1,216	782	1,177	1,655	711
61	922	1,121	723	1,106	1,569	648
60	850	1,032	667	1,028	1,481	582
59	781	948	613	942	1,363	535
58	716	869	562	857	1,218	506
57	654	794	515	800	1,155	445
56	597	723	470	766	1,132	394
55	544	658	430	742	1,077	398
54	497	598	394	702	1,001	394
53	454	545	362	639	928	338
52	416	497	334	596	853	327
51	382	454	308	560	787	324
50	351	415	285.3	518	741	280.7
49	323	379	263.7	493	708	260
48	295.6	346	243.3	475	674	256.5
47	270.1	315	223.7	448	630	244.5
46	246.2	285.9	205.1	417	589	222.4
45	224.3	259.7	187.8	391	555	199.3
44	204.9	236.5	172.1	361	507	192
43	188.1	216.9	158.3	336	467	183.2
42	174.1	200.8	146.5	320	461	155.8
41	162.5	187.7	136.2	301	446	132.1
40	152.7	177.1	127.2	275.1	398	130.8
39	144	168	118.9	271.3	396	125
38	136.1	160	111.1	262.3	387	115.9
37	128.5	152.6	103.3	224.5	322	110.3
36	121.2	145.5	95.8	201.3	287.8	100.8
35	114.4	139	88.6	194	281.1	93.1
34	108.1	133	82	186.8	269.6	92.7
33	102.6	128	76.1	172.2	250.4	84.7
32	98.2	124.1	71.1	148.5	225.2	62.9
31	94.7	121.2	66.9	130.3	194.6	59.1
30	92	119.3	63.5	123.6	182.3	59.6
29	89.8	117.9	60.4	123.7	194.9	46.9
28	88	117	57.6	109.5	173.6	40.2
27	86.4	116.3	55.1	90.6	138.4	39.5
26	85.1	116	52.7	82.1	123.9	38.2
25	84.2	116.3	50.6	77	118.5	33.7
24	83.9	117.2	49	67.9	107	27.3
23	84.5	119.4	47.9	64.5	99.2	28.2
22	85.6	122	47.4	62.3	92.2	31.2
21	86.6	123.9	47.2	56.7	82.6	30
20	85.9	122.9	46.9	56.2	83.3	28.3
19	82	116.1	45.9	62.7	94.3	30
18	73.8	102.2	43.6	50.7	70.8	29.8
17	62.3	83.4	40	34.2	43.8	24.1
16	49.6	63.1	35.2	30.9	45.9	15.2
15	38.2	45.8	30.1	29.1	40.8	16.8
14	29.1	32.7	25.1	25	28.9	20.8
13	22.6	24.1	21	19.1	21.8	16.4
12	18.2	18.8	17.7	14.3	18.6	9.7
11	15.5	15.7	15.3	12.2	15.7	8.41
10	14	14.1	13.8	10.5	10.8	10.2
9	13.4	13.8	13	10.3	9.11	11.5
8	13.6	14.2	13.1	12	13.2	10.7
7	14.6	15.3	13.8	11.3	12	10.7
6	16.4	17.2	15.5	9.63	8.66	10.7
5	19	19.7	18.3	9.42	9.23	9.62
4	22.7	22.9	22.5	11.3	12.2	10.4
3	27.6	26.9	28.4	13.8	14.4	13.1
2	34.2	31.8	36.6	13.2	14.4	11.8
1	42.6	37.8	47.7	25.4	24.3	26.4
0	851	876	826	291.9	305	278.5

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 86 in Lithuania. The median age of death is 81.4 in Argentina and 80.4 in Lithuania, 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 Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x