Life Expectancy in Chile vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Chile

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Chile			Lithuania
	Average	Male	Female	Average	Male	Female
100	103	102.7	103.1	102	101.8	102
99	102.1	101.9	102.2	101.1	100.9	101.1
98	101.4	101.1	101.4	100.2	100.1	100.2
97	100.6	100.4	100.7	99.3	99.2	99.3
96	99.8	99.6	99.9	98.5	98.4	98.5
95	99.1	98.8	99.2	97.7	97.6	97.7
94	98.4	98.1	98.5	96.9	96.7	96.9
93	97.6	97.4	97.8	96.1	95.9	96.1
92	97	96.7	97.1	95.4	95.2	95.4
91	96.3	96	96.5	94.6	94.4	94.7
90	95.6	95.3	95.8	94	93.7	94
89	95	94.7	95.2	93.3	93	93.4
88	94.4	94	94.6	92.6	92.3	92.7
87	93.8	93.4	94.1	92	91.6	92.1
86	93.2	92.8	93.5	91.4	90.9	91.6
85	92.7	92.3	93	90.8	90.3	91
84	92.2	91.7	92.6	90.3	89.7	90.5
83	91.7	91.2	92.1	89.8	89.1	90
82	91.3	90.7	91.7	89.3	88.5	89.6
81	90.8	90.2	91.3	88.8	88	89.2
80	90.4	89.8	90.9	88.4	87.4	88.8
79	90	89.3	90.5	88	86.9	88.4
78	89.6	88.9	90.1	87.5	86.4	88.1
77	89.2	88.5	89.8	87.1	85.8	87.8
76	88.8	88.1	89.5	86.8	85.3	87.5
75	88.5	87.7	89.1	86.4	84.8	87.2
74	88.1	87.3	88.8	86	84.3	86.9
73	87.8	86.9	88.6	85.6	83.8	86.6
72	87.5	86.6	88.3	85.3	83.3	86.4
71	87.2	86.3	88	84.9	82.9	86.1
70	87	86	87.8	84.6	82.4	85.9
69	86.7	85.7	87.6	84.2	81.9	85.7
68	86.5	85.4	87.4	83.9	81.5	85.5
67	86.3	85.2	87.2	83.6	81	85.3
66	86	85	87	83.3	80.6	85.1
65	85.9	84.7	86.9	82.9	80.2	84.9
64	85.7	84.5	86.7	82.6	79.8	84.7
63	85.5	84.3	86.5	82.3	79.4	84.5
62	85.3	84.1	86.4	82.1	79	84.3
61	85.2	83.9	86.3	81.8	78.7	84.2
60	85	83.8	86.1	81.5	78.3	84
59	84.8	83.6	86	81.3	78	83.9
58	84.7	83.4	85.9	81.1	77.7	83.7
57	84.6	83.3	85.8	80.9	77.4	83.6
56	84.4	83.1	85.7	80.7	77.2	83.5
55	84.3	83	85.6	80.4	76.9	83.4
54	84.2	82.8	85.5	80.2	76.6	83.3
53	84.1	82.7	85.4	80.1	76.4	83.2
52	84	82.6	85.3	79.9	76.2	83.1
51	83.9	82.5	85.2	79.7	75.9	82.9
50	83.8	82.4	85.1	79.5	75.7	82.9
49	83.7	82.3	85.1	79.4	75.5	82.8
48	83.6	82.2	85	79.2	75.3	82.7
47	83.6	82.1	85	79.1	75.1	82.6
46	83.5	82	84.9	78.9	74.9	82.5
45	83.4	81.9	84.9	78.8	74.8	82.4
44	83.4	81.8	84.8	78.7	74.6	82.3
43	83.3	81.8	84.8	78.5	74.4	82.3
42	83.2	81.7	84.7	78.4	74.3	82.2
41	83.2	81.6	84.7	78.3	74.1	82.2
40	83.1	81.6	84.6	78.2	74	82.1
39	83.1	81.5	84.6	78.1	73.9	82
38	83	81.5	84.6	78	73.7	82
37	83	81.4	84.5	77.9	73.6	81.9
36	83	81.4	84.5	77.8	73.5	81.9
35	82.9	81.3	84.5	77.7	73.4	81.9
34	82.9	81.3	84.5	77.6	73.3	81.8
33	82.8	81.2	84.4	77.6	73.2	81.8
32	82.8	81.2	84.4	77.5	73.1	81.7
31	82.8	81.1	84.4	77.4	73	81.7
30	82.7	81.1	84.4	77.4	72.9	81.7
29	82.7	81	84.3	77.3	72.8	81.7
28	82.7	81	84.3	77.3	72.7	81.6
27	82.6	80.9	84.3	77.2	72.7	81.6
26	82.6	80.9	84.3	77.2	72.6	81.6
25	82.6	80.8	84.3	77.1	72.6	81.6
24	82.5	80.8	84.3	77.1	72.5	81.6
23	82.5	80.7	84.2	77.1	72.5	81.5
22	82.5	80.7	84.2	77	72.4	81.5
21	82.4	80.6	84.2	77	72.4	81.5
20	82.4	80.6	84.2	77	72.3	81.5
19	82.4	80.6	84.2	76.9	72.3	81.5
18	82.4	80.5	84.1	76.9	72.2	81.4
17	82.3	80.5	84.1	76.9	72.2	81.4
16	82.3	80.5	84.1	76.9	72.2	81.4
15	82.3	80.5	84.1	76.8	72.2	81.4
14	82.3	80.4	84.1	76.8	72.2	81.4
13	82.3	80.4	84.1	76.8	72.1	81.4
12	82.3	80.4	84.1	76.8	72.1	81.4
11	82.3	80.4	84.1	76.8	72.1	81.4
10	82.2	80.4	84	76.8	72.1	81.4
9	82.2	80.4	84	76.8	72.1	81.4
8	82.2	80.4	84	76.8	72.1	81.3
7	82.2	80.4	84	76.8	72.1	81.3
6	82.2	80.4	84	76.8	72.1	81.3
5	82.2	80.4	84	76.8	72.1	81.3
4	82.2	80.4	84	76.7	72.1	81.3
3	82.2	80.3	84	76.7	72.1	81.3
2	82.2	80.3	84	76.7	72	81.3
1	82.1	80.3	83.9	76.7	72	81.3
0	81.7	79.9	83.5	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 Chile can expect to live to 82.7 years compared to 77.4 in Lithuania, rising to 85.9 and 82.9 at 65, and to 90.4 and 88.4 at 80 — higher than the 81.7 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Chile

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Chile			Lithuania
	Average	Male	Female	Average	Male	Female
100	4.94%	3.63%	6.12%	0.83%	0.39%	1.21%
99	6.46%	4.82%	7.94%	1.32%	0.62%	1.92%
98	8.26%	6.26%	10.1%	2.01%	0.95%	2.92%
97	10.4%	7.96%	12.5%	2.95%	1.42%	4.28%
96	12.7%	9.93%	15.3%	4.19%	2.04%	6.06%
95	15.4%	12.2%	18.3%	5.75%	2.85%	8.27%
94	18.3%	14.6%	21.6%	7.68%	3.93%	11%
93	21.3%	17.4%	25.1%	10%	5.28%	14.2%
92	24.6%	20.3%	28.7%	12.6%	6.79%	17.7%
91	28.1%	23.4%	32.5%	15.4%	8.41%	21.6%
90	31.6%	26.7%	36.3%	18.6%	10.4%	25.8%
89	35.2%	30.1%	40.2%	21.9%	12.6%	30.1%
88	38.9%	33.5%	44%	25.3%	14.8%	34.6%
87	42.5%	37%	47.8%	28.8%	17.3%	39.2%
86	46.1%	40.5%	51.4%	32.4%	19.9%	43.6%
85	49.5%	43.9%	54.9%	35.8%	22.5%	47.9%
84	52.7%	47.2%	58.2%	39.2%	25.1%	51.9%
83	55.9%	50.3%	61.3%	42.4%	27.8%	55.7%
82	58.8%	53.4%	64.1%	45.4%	30.5%	59.1%
81	61.6%	56.3%	66.8%	48.3%	33.2%	62.3%
80	64.2%	59.1%	69.3%	51.1%	35.8%	65.3%
79	66.8%	61.8%	71.7%	53.6%	38.4%	67.9%
78	69.2%	64.4%	73.9%	56%	40.9%	70.3%
77	71.4%	66.8%	76%	58.3%	43.5%	72.5%
76	73.6%	69.2%	77.9%	60.6%	46.1%	74.5%
75	75.6%	71.4%	79.7%	62.7%	48.6%	76.3%
74	77.5%	73.5%	81.4%	64.7%	51.1%	78.1%
73	79.2%	75.5%	83%	66.7%	53.5%	79.6%
72	80.8%	77.3%	84.4%	68.6%	55.9%	81.1%
71	82.3%	79%	85.6%	70.4%	58.2%	82.4%
70	83.6%	80.5%	86.8%	72.1%	60.5%	83.6%
69	84.8%	81.9%	87.8%	73.7%	62.7%	84.8%
68	85.9%	83.2%	88.8%	75.3%	64.9%	85.9%
67	86.9%	84.3%	89.6%	76.8%	67%	86.9%
66	87.9%	85.4%	90.4%	78.3%	69.1%	87.9%
65	88.7%	86.3%	91.1%	79.8%	71.1%	88.8%
64	89.5%	87.3%	91.7%	81.1%	73%	89.6%
63	90.2%	88.1%	92.3%	82.3%	74.8%	90.3%
62	90.9%	88.9%	92.9%	83.5%	76.4%	91%
61	91.5%	89.6%	93.4%	84.6%	78%	91.7%
60	92.1%	90.3%	93.9%	85.7%	79.5%	92.3%
59	92.6%	91%	94.3%	86.6%	80.8%	92.8%
58	93.1%	91.6%	94.8%	87.5%	82.1%	93.3%
57	93.6%	92.1%	95.1%	88.3%	83.2%	93.7%
56	94.1%	92.7%	95.5%	89%	84.4%	94.1%
55	94.5%	93.1%	95.8%	89.8%	85.4%	94.5%
54	94.8%	93.6%	96.1%	90.5%	86.4%	94.9%
53	95.2%	94%	96.4%	91.1%	87.4%	95.3%
52	95.5%	94.4%	96.6%	91.7%	88.2%	95.6%
51	95.8%	94.7%	96.8%	92.3%	89%	95.9%
50	96%	95.1%	97%	92.8%	89.7%	96.2%
49	96.3%	95.4%	97.2%	93.3%	90.4%	96.5%
48	96.5%	95.6%	97.4%	93.7%	91.1%	96.7%
47	96.7%	95.9%	97.5%	94.2%	91.8%	97%
46	96.9%	96.1%	97.7%	94.6%	92.3%	97.2%
45	97%	96.3%	97.8%	95%	92.9%	97.4%
44	97.2%	96.5%	97.9%	95.4%	93.4%	97.6%
43	97.3%	96.7%	98%	95.7%	93.9%	97.8%
42	97.5%	96.8%	98.1%	96%	94.3%	97.9%
41	97.6%	97%	98.2%	96.3%	94.8%	98%
40	97.7%	97.1%	98.3%	96.6%	95.2%	98.2%
39	97.8%	97.3%	98.4%	96.9%	95.6%	98.3%
38	97.9%	97.4%	98.4%	97.1%	96%	98.4%
37	98%	97.5%	98.5%	97.4%	96.3%	98.5%
36	98.1%	97.6%	98.6%	97.6%	96.6%	98.6%
35	98.2%	97.7%	98.6%	97.8%	96.9%	98.7%
34	98.2%	97.8%	98.7%	97.9%	97.1%	98.8%
33	98.3%	97.9%	98.7%	98.1%	97.4%	98.9%
32	98.4%	98%	98.8%	98.3%	97.6%	99%
31	98.5%	98.1%	98.8%	98.4%	97.8%	99%
30	98.5%	98.2%	98.8%	98.5%	98%	99.1%
29	98.6%	98.3%	98.9%	98.6%	98.2%	99.1%
28	98.7%	98.4%	98.9%	98.7%	98.3%	99.2%
27	98.7%	98.5%	99%	98.8%	98.5%	99.2%
26	98.8%	98.6%	99%	98.9%	98.6%	99.2%
25	98.8%	98.7%	99%	99%	98.7%	99.3%
24	98.9%	98.7%	99%	99.1%	98.8%	99.3%
23	98.9%	98.8%	99.1%	99.1%	98.9%	99.3%
22	99%	98.9%	99.1%	99.2%	99%	99.4%
21	99%	99%	99.1%	99.2%	99.1%	99.4%
20	99.1%	99%	99.2%	99.3%	99.2%	99.4%
19	99.1%	99.1%	99.2%	99.4%	99.3%	99.5%
18	99.2%	99.2%	99.2%	99.4%	99.4%	99.5%
17	99.2%	99.2%	99.2%	99.5%	99.4%	99.5%
16	99.3%	99.2%	99.3%	99.5%	99.4%	99.5%
15	99.3%	99.3%	99.3%	99.5%	99.5%	99.5%
14	99.3%	99.3%	99.3%	99.5%	99.5%	99.6%
13	99.3%	99.3%	99.3%	99.6%	99.5%	99.6%
12	99.3%	99.3%	99.3%	99.6%	99.6%	99.6%
11	99.3%	99.3%	99.3%	99.6%	99.6%	99.6%
10	99.3%	99.3%	99.4%	99.6%	99.6%	99.6%
9	99.4%	99.3%	99.4%	99.6%	99.6%	99.6%
8	99.4%	99.4%	99.4%	99.6%	99.6%	99.6%
7	99.4%	99.4%	99.4%	99.6%	99.6%	99.6%
6	99.4%	99.4%	99.4%	99.6%	99.6%	99.7%
5	99.4%	99.4%	99.4%	99.6%	99.6%	99.7%
4	99.4%	99.4%	99.4%	99.7%	99.6%	99.7%
3	99.4%	99.4%	99.4%	99.7%	99.7%	99.7%
2	99.5%	99.4%	99.5%	99.7%	99.7%	99.7%
1	99.5%	99.5%	99.5%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 92.1% of newborns in Chile and 85.7% in Lithuania are expected to live past 60, 83.6% and 72.1% past 70, 64.2% and 51.1% past 80, and only 31.6% 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

Chile

Male

Female

Lithuania

Male

Female

1x

Age	Probability of dying
	Chile			Lithuania
	Average	Male	Female	Average	Male	Female
100	25%	26.2%	24.5%	39.3%	39.3%	39.3%
99	23.5%	24.7%	23%	36.9%	37.2%	36.8%
98	21.8%	23%	21.2%	34.4%	35%	34.3%
97	20.2%	21.4%	19.6%	32%	32.8%	31.8%
96	18.7%	19.8%	18%	29.6%	30.6%	29.3%
95	17.2%	18.4%	16.6%	27.1%	28.5%	26.8%
94	15.8%	17%	15.2%	25.2%	27.3%	24.6%
93	14.5%	15.6%	13.8%	23.2%	25.7%	22.5%
92	13.3%	14.4%	12.6%	20.7%	22.1%	20.2%
91	12.2%	13.3%	11.6%	18.3%	19.3%	18%
90	11.2%	12.3%	10.6%	16.8%	19.1%	16.1%
89	10.3%	11.3%	9.63%	15.2%	17.3%	14.5%
88	9.39%	10.3%	8.75%	13.5%	15.1%	13%
87	8.53%	9.43%	7.9%	12.3%	14.4%	11.6%
86	7.7%	8.56%	7.08%	11%	13.1%	10.2%
85	6.92%	7.74%	6.32%	9.6%	11.4%	8.93%
84	6.2%	6.98%	5.62%	8.47%	10.4%	7.75%
83	5.57%	6.3%	5.01%	7.54%	9.67%	6.7%
82	5.01%	5.7%	4.47%	6.69%	8.81%	5.82%
81	4.53%	5.19%	4.02%	6.01%	8.11%	5.12%
80	4.12%	4.74%	3.63%	5.41%	7.44%	4.51%
79	3.77%	4.35%	3.3%	4.77%	6.65%	3.91%
78	3.46%	4.01%	3%	4.3%	6.23%	3.39%
77	3.18%	3.69%	2.74%	3.98%	6%	2.98%
76	2.92%	3.41%	2.5%	3.69%	5.61%	2.7%
75	2.67%	3.13%	2.27%	3.4%	5.16%	2.45%
74	2.44%	2.87%	2.06%	3.14%	4.82%	2.19%
73	2.21%	2.61%	1.86%	2.93%	4.53%	1.99%
72	1.99%	2.36%	1.66%	2.74%	4.26%	1.82%
71	1.78%	2.11%	1.49%	2.54%	4.02%	1.6%
70	1.59%	1.89%	1.32%	2.35%	3.77%	1.44%
69	1.42%	1.69%	1.18%	2.23%	3.51%	1.37%
68	1.27%	1.51%	1.05%	2.11%	3.33%	1.26%
67	1.15%	1.36%	0.95%	2.01%	3.19%	1.16%
66	1.04%	1.24%	0.86%	1.92%	3.03%	1.11%
65	0.95%	1.13%	0.78%	1.79%	2.81%	1.01%
64	0.87%	1.04%	0.71%	1.64%	2.58%	0.9%
63	0.81%	0.97%	0.65%	1.52%	2.36%	0.83%
62	0.74%	0.89%	0.6%	1.41%	2.17%	0.78%
61	0.69%	0.83%	0.56%	1.31%	2.01%	0.71%
60	0.64%	0.77%	0.51%	1.2%	1.86%	0.63%
59	0.59%	0.71%	0.47%	1.09%	1.69%	0.58%
58	0.54%	0.66%	0.43%	0.98%	1.48%	0.54%
57	0.5%	0.61%	0.4%	0.91%	1.39%	0.47%
56	0.46%	0.56%	0.37%	0.86%	1.34%	0.42%
55	0.43%	0.52%	0.33%	0.83%	1.26%	0.42%
54	0.39%	0.48%	0.31%	0.78%	1.16%	0.42%
53	0.36%	0.44%	0.28%	0.7%	1.06%	0.36%
52	0.33%	0.41%	0.25%	0.65%	0.97%	0.34%
51	0.3%	0.37%	0.23%	0.61%	0.88%	0.34%
50	0.27%	0.33%	0.21%	0.56%	0.83%	0.29%
49	0.25%	0.3%	0.19%	0.53%	0.78%	0.27%
48	0.22%	0.27%	0.17%	0.51%	0.74%	0.27%
47	0.2%	0.25%	0.16%	0.48%	0.69%	0.25%
46	0.19%	0.23%	0.14%	0.44%	0.64%	0.23%
45	0.17%	0.21%	0.13%	0.41%	0.6%	0.2%
44	0.16%	0.2%	0.12%	0.38%	0.54%	0.2%
43	0.15%	0.18%	0.11%	0.35%	0.5%	0.19%
42	0.14%	0.17%	0.1%	0.33%	0.49%	0.16%
41	0.13%	0.16%	0.09%	0.31%	0.47%	0.13%
40	0.12%	0.15%	0.08%	0.28%	0.42%	0.13%
39	0.11%	0.14%	0.08%	0.28%	0.41%	0.13%
38	0.1%	0.13%	0.07%	0.27%	0.4%	0.12%
37	0.09%	0.12%	0.06%	0.23%	0.33%	0.11%
36	0.09%	0.12%	0.06%	0.21%	0.3%	0.1%
35	0.08%	0.11%	0.05%	0.2%	0.29%	0.09%
34	0.08%	0.11%	0.05%	0.19%	0.28%	0.09%
33	0.08%	0.1%	0.05%	0.18%	0.26%	0.09%
32	0.07%	0.1%	0.04%	0.15%	0.23%	0.06%
31	0.07%	0.1%	0.04%	0.13%	0.2%	0.06%
30	0.07%	0.1%	0.04%	0.13%	0.19%	0.06%
29	0.07%	0.1%	0.04%	0.13%	0.2%	0.05%
28	0.06%	0.09%	0.04%	0.11%	0.18%	0.04%
27	0.06%	0.09%	0.03%	0.09%	0.14%	0.04%
26	0.06%	0.09%	0.03%	0.08%	0.13%	0.04%
25	0.06%	0.08%	0.03%	0.08%	0.12%	0.03%
24	0.05%	0.08%	0.03%	0.07%	0.11%	0.03%
23	0.05%	0.08%	0.03%	0.07%	0.1%	0.03%
22	0.05%	0.07%	0.03%	0.06%	0.09%	0.03%
21	0.05%	0.07%	0.03%	0.06%	0.08%	0.03%
20	0.05%	0.07%	0.03%	0.06%	0.08%	0.03%
19	0.05%	0.07%	0.03%	0.06%	0.09%	0.03%
18	0.04%	0.06%	0.03%	0.05%	0.07%	0.03%
17	0.04%	0.05%	0.02%	0.03%	0.04%	0.02%
16	0.03%	0.04%	0.02%	0.03%	0.05%	0.02%
15	0.02%	0.03%	0.02%	0.03%	0.04%	0.02%
14	0.02%	0.02%	0.02%	0.03%	0.03%	0.02%
13	0.02%	0.02%	0.02%	0.02%	0.02%	0.02%
12	0.01%	0.01%	0.01%	0.01%	0.02%	0.01%
11	0.01%	0.01%	0.01%	0.01%	0.02%	0.008%
10	0.01%	0.009%	0.01%	0.01%	0.01%	0.01%
9	0.01%	0.009%	0.01%	0.01%	0.009%	0.01%
8	0.01%	0.009%	0.01%	0.01%	0.01%	0.01%
7	0.01%	0.01%	0.01%	0.01%	0.01%	0.01%
6	0.01%	0.01%	0.01%	0.01%	0.009%	0.01%
5	0.01%	0.01%	0.01%	0.009%	0.009%	0.01%
4	0.02%	0.02%	0.02%	0.01%	0.01%	0.01%
3	0.02%	0.02%	0.02%	0.01%	0.01%	0.01%
2	0.02%	0.02%	0.02%	0.01%	0.01%	0.01%
1	0.03%	0.03%	0.03%	0.03%	0.02%	0.03%
0	0.52%	0.53%	0.51%	0.29%	0.3%	0.28%

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

The annual chance of dying is 0.52% in the birth year in Chile and 0.29% in Lithuania, 0.07% vs 0.13% at age 30, 0.64% vs 1.2% at 60, and 4.12% vs 5.41% at 80.

Death rate by age in Chile vs Lithuania

Chart Table

Chile

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Chile			Lithuania
	Total	Male	Female	Total	Male	Female
100	1,240	922	1,530	174.6	56.5	274.1
99	1,518	1,189	1,823	485	230.3	706
98	1,803	1,440	2,142	690	333	1,000
97	2,091	1,703	2,459	945	465	1,362
96	2,375	1,970	2,761	1,240	624	1,777
95	2,642	2,232	3,037	1,559	812	2,213
94	2,884	2,484	3,276	1,933	1,074	2,695
93	3,095	2,715	3,472	2,322	1,356	3,186
92	3,278	2,926	3,631	2,605	1,503	3,588
91	3,431	3,113	3,754	2,822	1,627	3,887
90	3,548	3,269	3,835	3,119	1,989	4,148
89	3,624	3,389	3,870	3,315	2,179	4,361
88	3,652	3,465	3,852	3,420	2,242	4,500
87	3,624	3,490	3,774	3,556	2,501	4,539
86	3,544	3,464	3,642	3,561	2,606	4,462
85	3,421	3,394	3,469	3,442	2,562	4,282
84	3,272	3,293	3,272	3,319	2,605	4,028
83	3,110	3,172	3,067	3,194	2,688	3,733
82	2,949	3,045	2,869	3,036	2,683	3,441
81	2,793	2,919	2,685	2,903	2,691	3,191
80	2,648	2,799	2,517	2,761	2,665	2,945
79	2,517	2,687	2,363	2,559	2,550	2,657
78	2,393	2,578	2,219	2,410	2,551	2,381
77	2,270	2,470	2,081	2,321	2,611	2,161
76	2,147	2,357	1,946	2,234	2,586	2,009
75	2,020	2,237	1,810	2,134	2,512	1,873
74	1,889	2,110	1,675	2,030	2,466	1,712
73	1,752	1,971	1,539	1,953	2,423	1,589
72	1,610	1,823	1,404	1,881	2,380	1,473
71	1,469	1,670	1,273	1,785	2,341	1,322
70	1,332	1,520	1,148	1,696	2,284	1,202
69	1,206	1,381	1,036	1,642	2,203	1,159
68	1,094	1,256	935	1,590	2,161	1,081
67	997	1,148	848	1,542	2,140	1,004
66	913	1,056	773	1,507	2,091	975
65	842	978	709	1,429	2,002	900
64	781	911	654	1,330	1,887	809
63	727	850	605	1,248	1,765	754
62	677	795	560	1,177	1,655	711
61	630	742	519	1,106	1,569	648
60	586	692	481	1,028	1,481	582
59	545	645	445	942	1,363	535
58	507	601	411	857	1,218	506
57	470	560	379	800	1,155	445
56	436	522	349	766	1,132	394
55	404	486	320	742	1,077	398
54	373	451	293.2	702	1,001	394
53	343	417	267.7	639	928	338
52	314	382	243.8	596	853	327
51	286.1	349	221.6	560	787	324
50	260.1	317	201.4	518	741	280.7
49	236.4	288.3	183.1	493	708	260
48	215.3	262.5	166.8	475	674	256.5
47	197	240.4	152.4	448	630	244.5
46	181.2	221.5	139.6	417	589	222.4
45	167.4	205.5	128.2	391	555	199.3
44	155.1	191.4	117.8	361	507	192
43	144	178.8	108.1	336	467	183.2
42	133.6	167.2	99	320	461	155.8
41	123.9	156.3	90.5	301	446	132.1
40	114.8	146.2	82.6	275.1	398	130.8
39	106.5	136.7	75.3	271.3	396	125
38	98.9	128.1	68.8	262.3	387	115.9
37	92.3	120.5	63.1	224.5	322	110.3
36	86.5	113.9	58.2	201.3	287.8	100.8
35	81.6	108.5	53.9	194	281.1	93.1
34	77.6	104.2	50.2	186.8	269.6	92.7
33	74.3	100.9	46.9	172.2	250.4	84.7
32	71.7	98.7	44	148.5	225.2	62.9
31	69.6	97	41.4	130.3	194.6	59.1
30	67.8	95.7	39.1	123.6	182.3	59.6
29	66	94	37.1	123.7	194.9	46.9
28	63.9	91.6	35.4	109.5	173.6	40.2
27	61.5	88.4	33.9	90.6	138.4	39.5
26	58.9	84.5	32.7	82.1	123.9	38.2
25	56.4	80.4	31.7	77	118.5	33.7
24	54.2	76.8	31	67.9	107	27.3
23	52.7	74.3	30.4	64.5	99.2	28.2
22	51.7	72.7	30	62.3	92.2	31.2
21	51	71.5	29.6	56.7	82.6	30
20	49.7	69.6	29	56.2	83.3	28.3
19	47.1	65.4	28	62.7	94.3	30
18	42.6	57.9	26.6	50.7	70.8	29.8
17	36.6	48.1	24.6	34.2	43.8	24.1
16	29.9	37.3	22.2	30.9	45.9	15.2
15	23.8	27.8	19.7	29.1	40.8	16.8
14	18.8	20.4	17.2	25	28.9	20.8
13	15.2	15.3	15	19.1	21.8	16.4
12	12.6	12	13.2	14.3	18.6	9.7
11	11	10.1	11.9	12.2	15.7	8.41
10	10	9.16	11	10.5	10.8	10.2
9	9.67	8.9	10.5	10.3	9.11	11.5
8	9.77	9.18	10.4	12	13.2	10.7
7	10.4	9.96	10.8	11.3	12	10.7
6	11.5	11.2	11.7	9.63	8.66	10.7
5	13.1	13.1	13.1	9.42	9.23	9.62
4	15.4	15.5	15.3	11.3	12.2	10.4
3	18.4	18.7	18.1	13.8	14.4	13.1
2	22.3	22.7	21.8	13.2	14.4	11.8
1	27.1	27.7	26.4	25.4	24.3	26.4
0	519	531	507	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 Chile, the most common age of death is 88, compared to 86 in Lithuania. The median age of death is 84.8 in Chile 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 Chile and Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x