Life Expectancy in Lithuania vs Switzerland (1950-2026)

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 Lithuania vs Switzerland: 77.4 years vs 84.9 at 30, 82.9 vs 86.9 at 65, 88.4 vs 90.1 at 80 — significantly higher than the 76.5 vs 84.4 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Lithuania and Switzerland.

Table

Current age, years	Total life expectancy, years
	Lithuania			Switzerland
	Average	Male	Female	Average	Male	Female
0	76.5	71.8	81.1	84.4	82.5	86.2
1	76.7	72	81.3	84.6	82.7	86.4
2	76.7	72	81.3	84.6	82.8	86.5
3	76.7	72.1	81.3	84.6	82.8	86.5
4	76.7	72.1	81.3	84.7	82.8	86.5
5	76.8	72.1	81.3	84.7	82.8	86.5
6	76.8	72.1	81.3	84.7	82.8	86.5
7	76.8	72.1	81.3	84.7	82.8	86.5
8	76.8	72.1	81.3	84.7	82.8	86.5
9	76.8	72.1	81.4	84.7	82.8	86.5
10	76.8	72.1	81.4	84.7	82.8	86.5
11	76.8	72.1	81.4	84.7	82.8	86.5
12	76.8	72.1	81.4	84.7	82.8	86.5
13	76.8	72.1	81.4	84.7	82.8	86.5
14	76.8	72.2	81.4	84.7	82.8	86.5
15	76.8	72.2	81.4	84.7	82.8	86.5
16	76.9	72.2	81.4	84.7	82.8	86.5
17	76.9	72.2	81.4	84.7	82.8	86.5
18	76.9	72.2	81.4	84.7	82.9	86.5
19	76.9	72.3	81.5	84.7	82.9	86.5
20	77	72.3	81.5	84.8	82.9	86.6
21	77	72.4	81.5	84.8	82.9	86.6
22	77	72.4	81.5	84.8	83	86.6
23	77.1	72.5	81.5	84.8	83	86.6
24	77.1	72.5	81.6	84.8	83	86.6
25	77.1	72.6	81.6	84.8	83	86.6
26	77.2	72.6	81.6	84.9	83	86.6
27	77.2	72.7	81.6	84.9	83.1	86.6
28	77.3	72.7	81.6	84.9	83.1	86.6
29	77.3	72.8	81.7	84.9	83.1	86.6
30	77.4	72.9	81.7	84.9	83.1	86.6
31	77.4	73	81.7	84.9	83.1	86.7
32	77.5	73.1	81.7	84.9	83.2	86.7
33	77.6	73.2	81.8	85	83.2	86.7
34	77.6	73.3	81.8	85	83.2	86.7
35	77.7	73.4	81.9	85	83.2	86.7
36	77.8	73.5	81.9	85	83.3	86.7
37	77.9	73.6	81.9	85	83.3	86.7
38	78	73.7	82	85.1	83.3	86.7
39	78.1	73.9	82	85.1	83.3	86.8
40	78.2	74	82.1	85.1	83.4	86.8
41	78.3	74.1	82.2	85.1	83.4	86.8
42	78.4	74.3	82.2	85.2	83.4	86.8
43	78.5	74.4	82.3	85.2	83.5	86.8
44	78.7	74.6	82.3	85.2	83.5	86.9
45	78.8	74.8	82.4	85.2	83.5	86.9
46	78.9	74.9	82.5	85.3	83.6	86.9
47	79.1	75.1	82.6	85.3	83.6	87
48	79.2	75.3	82.7	85.4	83.7	87
49	79.4	75.5	82.8	85.4	83.7	87
50	79.5	75.7	82.9	85.5	83.8	87.1
51	79.7	75.9	82.9	85.5	83.8	87.1
52	79.9	76.2	83.1	85.6	83.9	87.2
53	80.1	76.4	83.2	85.6	84	87.2
54	80.2	76.6	83.3	85.7	84.1	87.3
55	80.4	76.9	83.4	85.8	84.2	87.3
56	80.7	77.2	83.5	85.9	84.3	87.4
57	80.9	77.4	83.6	85.9	84.4	87.4
58	81.1	77.7	83.7	86	84.5	87.5
59	81.3	78	83.9	86.1	84.6	87.6
60	81.5	78.3	84	86.2	84.7	87.7
61	81.8	78.7	84.2	86.3	84.8	87.8
62	82.1	79	84.3	86.5	85	87.8
63	82.3	79.4	84.5	86.6	85.1	87.9
64	82.6	79.8	84.7	86.7	85.3	88
65	82.9	80.2	84.9	86.9	85.4	88.1
66	83.3	80.6	85.1	87	85.6	88.3
67	83.6	81	85.3	87.2	85.8	88.4
68	83.9	81.5	85.5	87.3	86	88.5
69	84.2	81.9	85.7	87.5	86.2	88.7
70	84.6	82.4	85.9	87.7	86.4	88.8
71	84.9	82.9	86.1	87.9	86.6	88.9
72	85.3	83.3	86.4	88.1	86.9	89.1
73	85.6	83.8	86.6	88.3	87.1	89.3
74	86	84.3	86.9	88.5	87.4	89.4
75	86.4	84.8	87.2	88.7	87.7	89.6
76	86.8	85.3	87.5	89	87.9	89.8
77	87.1	85.8	87.8	89.2	88.2	90
78	87.5	86.4	88.1	89.5	88.5	90.2
79	88	86.9	88.4	89.8	88.9	90.5
80	88.4	87.4	88.8	90.1	89.2	90.7
81	88.8	88	89.2	90.4	89.6	91
82	89.3	88.5	89.6	90.7	90	91.3
83	89.8	89.1	90	91.1	90.4	91.6
84	90.3	89.7	90.5	91.5	90.8	92
85	90.8	90.3	91	91.9	91.3	92.4
86	91.4	90.9	91.6	92.4	91.8	92.8
87	92	91.6	92.1	92.9	92.3	93.2
88	92.6	92.3	92.7	93.4	92.9	93.7
89	93.3	93	93.4	94	93.5	94.2
90	94	93.7	94	94.5	94.1	94.8
91	94.6	94.4	94.7	95.2	94.8	95.4
92	95.4	95.2	95.4	95.8	95.5	96
93	96.1	95.9	96.1	96.5	96.2	96.6
94	96.9	96.7	96.9	97.2	97	97.3
95	97.7	97.6	97.7	97.9	97.7	98
96	98.5	98.4	98.5	98.7	98.5	98.8
97	99.3	99.2	99.3	99.5	99.3	99.5
98	100.2	100.1	100.2	100.3	100.2	100.3
99	101.1	100.9	101.1	101.1	101	101.2
100	102	101.8	102	102	101.9	102

Odds of living to age in Lithuania vs Switzerland

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.7% in Lithuania and 95.5% in Switzerland are expected to survive till at least 60 years old, 72.1% and 89.2% will live to 70 years or older, 51.1% and 74.4% to 80+ years, and 18.6% and 37% 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
	Lithuania			Switzerland
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	99.7%	99.7%	99.7%
2	99.7%	99.7%	99.7%	99.7%	99.7%	99.7%
3	99.7%	99.7%	99.7%	99.7%	99.6%	99.7%
4	99.7%	99.6%	99.7%	99.7%	99.6%	99.7%
5	99.6%	99.6%	99.7%	99.7%	99.6%	99.7%
6	99.6%	99.6%	99.7%	99.6%	99.6%	99.7%
7	99.6%	99.6%	99.6%	99.6%	99.6%	99.7%
8	99.6%	99.6%	99.6%	99.6%	99.6%	99.7%
9	99.6%	99.6%	99.6%	99.6%	99.6%	99.7%
10	99.6%	99.6%	99.6%	99.6%	99.6%	99.7%
11	99.6%	99.6%	99.6%	99.6%	99.6%	99.6%
12	99.6%	99.6%	99.6%	99.6%	99.6%	99.6%
13	99.6%	99.5%	99.6%	99.6%	99.6%	99.6%
14	99.5%	99.5%	99.6%	99.6%	99.6%	99.6%
15	99.5%	99.5%	99.5%	99.6%	99.6%	99.6%
16	99.5%	99.4%	99.5%	99.6%	99.6%	99.6%
17	99.5%	99.4%	99.5%	99.6%	99.5%	99.6%
18	99.4%	99.4%	99.5%	99.6%	99.5%	99.6%
19	99.4%	99.3%	99.5%	99.5%	99.5%	99.6%
20	99.3%	99.2%	99.4%	99.5%	99.5%	99.6%
21	99.2%	99.1%	99.4%	99.5%	99.4%	99.6%
22	99.2%	99%	99.4%	99.5%	99.4%	99.6%
23	99.1%	98.9%	99.3%	99.4%	99.3%	99.5%
24	99.1%	98.8%	99.3%	99.4%	99.3%	99.5%
25	99%	98.7%	99.3%	99.4%	99.3%	99.5%
26	98.9%	98.6%	99.2%	99.4%	99.2%	99.5%
27	98.8%	98.5%	99.2%	99.3%	99.2%	99.5%
28	98.7%	98.3%	99.2%	99.3%	99.2%	99.5%
29	98.6%	98.2%	99.1%	99.3%	99.1%	99.5%
30	98.5%	98%	99.1%	99.3%	99.1%	99.4%
31	98.4%	97.8%	99%	99.2%	99%	99.4%
32	98.3%	97.6%	99%	99.2%	99%	99.4%
33	98.1%	97.4%	98.9%	99.2%	99%	99.4%
34	97.9%	97.1%	98.8%	99.1%	98.9%	99.3%
35	97.8%	96.9%	98.7%	99.1%	98.9%	99.3%
36	97.6%	96.6%	98.6%	99.1%	98.8%	99.3%
37	97.4%	96.3%	98.5%	99%	98.8%	99.3%
38	97.1%	96%	98.4%	99%	98.7%	99.2%
39	96.9%	95.6%	98.3%	98.9%	98.7%	99.2%
40	96.6%	95.2%	98.2%	98.9%	98.6%	99.2%
41	96.3%	94.8%	98%	98.8%	98.5%	99.1%
42	96%	94.3%	97.9%	98.8%	98.5%	99.1%
43	95.7%	93.9%	97.8%	98.7%	98.4%	99%
44	95.4%	93.4%	97.6%	98.6%	98.3%	99%
45	95%	92.9%	97.4%	98.5%	98.2%	98.9%
46	94.6%	92.3%	97.2%	98.4%	98.1%	98.8%
47	94.2%	91.8%	97%	98.3%	97.9%	98.8%
48	93.7%	91.1%	96.7%	98.2%	97.8%	98.7%
49	93.3%	90.4%	96.5%	98.1%	97.7%	98.6%
50	92.8%	89.7%	96.2%	98%	97.5%	98.5%
51	92.3%	89%	95.9%	97.8%	97.3%	98.4%
52	91.7%	88.2%	95.6%	97.7%	97.1%	98.2%
53	91.1%	87.4%	95.3%	97.5%	96.9%	98.1%
54	90.5%	86.4%	94.9%	97.3%	96.6%	97.9%
55	89.8%	85.4%	94.5%	97%	96.3%	97.8%
56	89%	84.4%	94.1%	96.8%	96%	97.6%
57	88.3%	83.2%	93.7%	96.5%	95.7%	97.4%
58	87.5%	82.1%	93.3%	96.2%	95.3%	97.1%
59	86.6%	80.8%	92.8%	95.9%	94.9%	96.9%
60	85.7%	79.5%	92.3%	95.5%	94.4%	96.6%
61	84.6%	78%	91.7%	95.1%	93.9%	96.3%
62	83.5%	76.4%	91%	94.7%	93.4%	96%
63	82.3%	74.8%	90.3%	94.2%	92.7%	95.6%
64	81.1%	73%	89.6%	93.6%	92.1%	95.2%
65	79.8%	71.1%	88.8%	93%	91.3%	94.8%
66	78.3%	69.1%	87.9%	92.4%	90.5%	94.3%
67	76.8%	67%	86.9%	91.7%	89.6%	93.8%
68	75.3%	64.9%	85.9%	90.9%	88.6%	93.2%
69	73.7%	62.7%	84.8%	90.1%	87.6%	92.6%
70	72.1%	60.5%	83.6%	89.2%	86.5%	91.9%
71	70.4%	58.2%	82.4%	88.2%	85.3%	91.2%
72	68.6%	55.9%	81.1%	87.2%	84%	90.4%
73	66.7%	53.5%	79.6%	86%	82.6%	89.5%
74	64.7%	51.1%	78.1%	84.7%	81.1%	88.5%
75	62.7%	48.6%	76.3%	83.4%	79.4%	87.4%
76	60.6%	46.1%	74.5%	81.9%	77.6%	86.2%
77	58.3%	43.5%	72.5%	80.3%	75.7%	84.9%
78	56%	40.9%	70.3%	78.5%	73.6%	83.4%
79	53.6%	38.4%	67.9%	76.6%	71.3%	81.8%
80	51.1%	35.8%	65.3%	74.4%	68.8%	79.9%
81	48.3%	33.2%	62.3%	72%	66%	77.9%
82	45.4%	30.5%	59.1%	69.3%	62.9%	75.5%
83	42.4%	27.8%	55.7%	66.3%	59.6%	72.8%
84	39.2%	25.1%	51.9%	63%	56%	69.8%
85	35.8%	22.5%	47.9%	59.3%	52.1%	66.4%
86	32.4%	19.9%	43.6%	55.4%	47.9%	62.6%
87	28.8%	17.3%	39.2%	51.1%	43.5%	58.5%
88	25.3%	14.8%	34.6%	46.6%	38.9%	53.9%
89	21.9%	12.6%	30.1%	41.8%	34.3%	49%
90	18.6%	10.4%	25.8%	37%	29.6%	43.9%
91	15.4%	8.41%	21.6%	32.1%	25%	38.6%
92	12.6%	6.79%	17.7%	27.2%	20.7%	33.3%
93	10%	5.28%	14.2%	22.6%	16.6%	28.1%
94	7.68%	3.93%	11%	18.3%	13.1%	23%
95	5.75%	2.85%	8.27%	14.4%	9.99%	18.3%
96	4.19%	2.04%	6.06%	11%	7.39%	14.2%
97	2.95%	1.42%	4.28%	8.1%	5.27%	10.6%
98	2.01%	0.95%	2.92%	5.76%	3.62%	7.62%
99	1.32%	0.62%	1.92%	3.94%	2.39%	5.27%
100	0.83%	0.39%	1.21%	2.59%	1.52%	3.5%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.29% in the birth year in Lithuania and 0.3% in Switzerland, 0.13% vs 0.03% at age 30, 1.2% vs 0.43% at 60, and 5.41% vs 3.26% at 80.

Below is a graph displaying the probabilities of dying in Lithuania compared to Switzerland at any given age.

Table

Age	Probability of dying
	Lithuania			Switzerland
	Average	Male	Female	Average	Male	Female
0	0.29%	0.3%	0.28%	0.3%	0.32%	0.28%
1	0.03%	0.02%	0.03%	0.02%	0.02%	0.02%
2	0.01%	0.01%	0.01%	0.008%	0.008%	0.007%
3	0.01%	0.01%	0.01%	0.007%	0.008%	0.005%
4	0.01%	0.01%	0.01%	0.006%	0.007%	0.004%
5	0.009%	0.009%	0.01%	0.005%	0.006%	0.004%
6	0.01%	0.009%	0.01%	0.005%	0.005%	0.005%
7	0.01%	0.01%	0.01%	0.005%	0.005%	0.005%
8	0.01%	0.01%	0.01%	0.005%	0.005%	0.005%
9	0.01%	0.009%	0.01%	0.005%	0.005%	0.004%
10	0.01%	0.01%	0.01%	0.005%	0.004%	0.005%
11	0.01%	0.02%	0.008%	0.005%	0.005%	0.006%
12	0.01%	0.02%	0.01%	0.006%	0.006%	0.006%
13	0.02%	0.02%	0.02%	0.007%	0.008%	0.007%
14	0.03%	0.03%	0.02%	0.009%	0.01%	0.007%
15	0.03%	0.04%	0.02%	0.01%	0.01%	0.007%
16	0.03%	0.05%	0.02%	0.01%	0.02%	0.008%
17	0.03%	0.04%	0.02%	0.02%	0.02%	0.01%
18	0.05%	0.07%	0.03%	0.02%	0.03%	0.01%
19	0.06%	0.09%	0.03%	0.02%	0.03%	0.01%
20	0.06%	0.08%	0.03%	0.02%	0.04%	0.009%
21	0.06%	0.08%	0.03%	0.02%	0.04%	0.008%
22	0.06%	0.09%	0.03%	0.03%	0.04%	0.01%
23	0.07%	0.1%	0.03%	0.03%	0.04%	0.02%
24	0.07%	0.11%	0.03%	0.03%	0.04%	0.02%
25	0.08%	0.12%	0.03%	0.03%	0.04%	0.01%
26	0.08%	0.13%	0.04%	0.03%	0.04%	0.01%
27	0.09%	0.14%	0.04%	0.03%	0.04%	0.01%
28	0.11%	0.18%	0.04%	0.03%	0.04%	0.02%
29	0.13%	0.2%	0.05%	0.03%	0.04%	0.02%
30	0.13%	0.19%	0.06%	0.03%	0.04%	0.02%
31	0.13%	0.2%	0.06%	0.03%	0.04%	0.02%
32	0.15%	0.23%	0.06%	0.03%	0.04%	0.02%
33	0.18%	0.26%	0.09%	0.03%	0.04%	0.02%
34	0.19%	0.28%	0.09%	0.03%	0.05%	0.02%
35	0.2%	0.29%	0.09%	0.04%	0.05%	0.03%
36	0.21%	0.3%	0.1%	0.04%	0.05%	0.03%
37	0.23%	0.33%	0.11%	0.04%	0.06%	0.03%
38	0.27%	0.4%	0.12%	0.05%	0.06%	0.03%
39	0.28%	0.41%	0.13%	0.05%	0.07%	0.03%
40	0.28%	0.42%	0.13%	0.05%	0.07%	0.04%
41	0.31%	0.47%	0.13%	0.06%	0.08%	0.04%
42	0.33%	0.49%	0.16%	0.07%	0.09%	0.05%
43	0.35%	0.5%	0.19%	0.08%	0.09%	0.06%
44	0.38%	0.54%	0.2%	0.08%	0.1%	0.07%
45	0.41%	0.6%	0.2%	0.09%	0.12%	0.07%
46	0.44%	0.64%	0.23%	0.1%	0.13%	0.08%
47	0.48%	0.69%	0.25%	0.11%	0.14%	0.08%
48	0.51%	0.74%	0.27%	0.12%	0.15%	0.1%
49	0.53%	0.78%	0.27%	0.14%	0.17%	0.11%
50	0.56%	0.83%	0.29%	0.16%	0.19%	0.12%
51	0.61%	0.88%	0.34%	0.17%	0.21%	0.13%
52	0.65%	0.97%	0.34%	0.19%	0.23%	0.14%
53	0.7%	1.06%	0.36%	0.21%	0.26%	0.16%
54	0.78%	1.16%	0.42%	0.24%	0.29%	0.18%
55	0.83%	1.26%	0.42%	0.26%	0.33%	0.2%
56	0.86%	1.34%	0.42%	0.29%	0.36%	0.21%
57	0.91%	1.39%	0.47%	0.31%	0.39%	0.23%
58	0.98%	1.48%	0.54%	0.34%	0.42%	0.26%
59	1.09%	1.69%	0.58%	0.38%	0.47%	0.29%
60	1.2%	1.86%	0.63%	0.43%	0.54%	0.31%
61	1.31%	2.01%	0.71%	0.47%	0.6%	0.34%
62	1.41%	2.17%	0.78%	0.52%	0.66%	0.37%
63	1.52%	2.36%	0.83%	0.57%	0.74%	0.41%
64	1.64%	2.58%	0.9%	0.64%	0.82%	0.46%
65	1.79%	2.81%	1.01%	0.71%	0.89%	0.53%
66	1.92%	3.03%	1.11%	0.77%	0.98%	0.57%
67	2.01%	3.19%	1.16%	0.84%	1.08%	0.61%
68	2.11%	3.33%	1.26%	0.9%	1.16%	0.65%
69	2.23%	3.51%	1.37%	0.97%	1.24%	0.72%
70	2.35%	3.77%	1.44%	1.08%	1.37%	0.8%
71	2.54%	4.02%	1.6%	1.2%	1.53%	0.9%
72	2.74%	4.26%	1.82%	1.33%	1.7%	1%
73	2.93%	4.53%	1.99%	1.46%	1.87%	1.1%
74	3.14%	4.82%	2.19%	1.61%	2.05%	1.22%
75	3.4%	5.16%	2.45%	1.78%	2.24%	1.37%
76	3.69%	5.61%	2.7%	1.97%	2.47%	1.53%
77	3.98%	6%	2.98%	2.2%	2.76%	1.73%
78	4.3%	6.23%	3.39%	2.49%	3.12%	1.96%
79	4.77%	6.65%	3.91%	2.84%	3.56%	2.24%
80	5.41%	7.44%	4.51%	3.26%	4.07%	2.58%
81	6.01%	8.11%	5.12%	3.75%	4.64%	3.02%
82	6.69%	8.81%	5.82%	4.31%	5.27%	3.56%
83	7.54%	9.67%	6.7%	5%	6.05%	4.18%
84	8.47%	10.4%	7.75%	5.78%	6.96%	4.88%
85	9.6%	11.4%	8.93%	6.66%	8.02%	5.68%
86	11%	13.1%	10.2%	7.67%	9.2%	6.62%
87	12.3%	14.4%	11.6%	8.86%	10.5%	7.78%
88	13.5%	15.1%	13%	10.2%	11.9%	9.08%
89	15.2%	17.3%	14.5%	11.6%	13.6%	10.5%
90	16.8%	19.1%	16.1%	13.3%	15.5%	12%
91	18.3%	19.3%	18%	15.1%	17.5%	13.8%
92	20.7%	22.1%	20.2%	17%	19.5%	15.8%
93	23.2%	25.7%	22.5%	19.1%	21.4%	18%
94	25.2%	27.3%	24.6%	21.3%	23.6%	20.3%
95	27.1%	28.5%	26.8%	23.7%	26%	22.7%
96	29.6%	30.6%	29.3%	26.2%	28.7%	25.3%
97	32%	32.8%	31.8%	28.9%	31.4%	28%
98	34.4%	35%	34.3%	31.6%	33.9%	30.8%
99	36.9%	37.2%	36.8%	34.3%	36.4%	33.7%
100	39.3%	39.3%	39.3%	37%	39.1%	36.3%

Death rate by age in Lithuania compared to Switzerland

In Lithuania, the most common age of death is 86, compared to 90 in Switzerland. The median age of death is 80.4 in Lithuania and 87.2 in Switzerland — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Lithuania			Switzerland
	Total	Male	Female	Total	Male	Female
0	291.9	305	278.5	303	322	283.2
1	25.4	24.3	26.4	22.5	22.6	22.4
2	13.2	14.4	11.8	7.66	8.22	7.07
3	13.8	14.4	13.1	6.53	7.74	5.26
4	11.3	12.2	10.4	5.93	7.31	4.48
5	9.42	9.23	9.62	5.21	6.16	4.2
6	9.63	8.66	10.7	4.82	5.05	4.58
7	11.3	12	10.7	4.74	4.51	4.98
8	12	13.2	10.7	4.69	4.68	4.71
9	10.3	9.11	11.5	4.56	4.64	4.48
10	10.5	10.8	10.2	4.54	4.09	5.02
11	12.2	15.7	8.41	5.04	4.6	5.51
12	14.3	18.6	9.7	6.05	6.11	5.98
13	19.1	21.8	16.4	7.36	7.93	6.76
14	25	28.9	20.8	8.64	9.9	7.31
15	29.1	40.8	16.8	10.1	12.7	7.44
16	30.9	45.9	15.2	12.5	16.6	8.23
17	34.2	43.8	24.1	17	22.5	11.2
18	50.7	70.8	29.8	21.7	29.1	13.8
19	62.7	94.3	30	23.5	34.5	11.8
20	56.2	83.3	28.3	24	38.2	8.96
21	56.7	82.6	30	24.5	39.8	8.4
22	62.3	92.2	31.2	25.4	38.5	11.5
23	64.5	99.2	28.2	27.1	37.2	16.4
24	67.9	107	27.3	28	38.3	17
25	77	118.5	33.7	27.5	39.6	14.5
26	82.1	123.9	38.2	26	38.4	12.5
27	90.6	138.4	39.5	25	36.6	12.6
28	109.5	173.6	40.2	26.1	36.1	15.4
29	123.7	194.9	46.9	27.8	36.1	19.1
30	123.6	182.3	59.6	28.2	35.8	20.2
31	130.3	194.6	59.1	29.2	37.4	20.6
32	148.5	225.2	62.9	32.3	41.8	22.5
33	172.2	250.4	84.7	33.9	44.3	23.1
34	186.8	269.6	92.7	34.4	44.5	23.9
35	194	281.1	93.1	36.1	44.5	27.4
36	201.3	287.8	100.8	39.3	47.2	31.1
37	224.5	322	110.3	43.3	54.8	31.6
38	262.3	387	115.9	47.4	62.9	31.4
39	271.3	396	125	49.9	65.1	34.3
40	275.1	398	130.8	53.2	67.1	39
41	301	446	132.1	59.7	75.9	43.1
42	320	461	155.8	67.9	86.6	48.7
43	336	467	183.2	74.9	91.8	57.5
44	361	507	192	83.3	101.5	64.7
45	391	555	199.3	92.2	114.1	69.7
46	417	589	222.4	99.2	123.3	74.6
47	448	630	244.5	107.9	132.7	82.6
48	475	674	256.5	122.7	148.4	96.4
49	493	708	260	139.6	168.2	110.6
50	518	741	280.7	153.6	188.4	118.4
51	560	787	324	166.4	207.7	124.2
52	596	853	327	182.7	227.9	136.6
53	639	928	338	205.5	252.9	157.2
54	702	1,001	394	233.1	284.3	180.9
55	742	1,077	398	257.1	318	194.8
56	766	1,132	394	277.6	348	205.6
57	800	1,155	445	299.8	371	227
58	857	1,218	506	328	400	254.4
59	942	1,363	535	366	450	278.7
60	1,028	1,481	582	409	512	301
61	1,106	1,569	648	449	566	326
62	1,177	1,655	711	490	619	356
63	1,248	1,765	754	540	684	391
64	1,330	1,887	809	598	752	439
65	1,429	2,002	900	657	812	500
66	1,507	2,091	975	715	888	539
67	1,542	2,140	1,004	770	968	568
68	1,590	2,161	1,081	819	1,026	607
69	1,642	2,203	1,159	877	1,088	663
70	1,696	2,284	1,202	962	1,187	736
71	1,785	2,341	1,322	1,061	1,310	818
72	1,881	2,380	1,473	1,160	1,430	899
73	1,953	2,423	1,589	1,260	1,546	986
74	2,030	2,466	1,712	1,364	1,658	1,083
75	2,134	2,512	1,873	1,482	1,780	1,195
76	2,234	2,586	2,009	1,613	1,919	1,321
77	2,321	2,611	2,161	1,770	2,088	1,469
78	2,410	2,551	2,381	1,958	2,296	1,639
79	2,559	2,550	2,657	2,175	2,539	1,829
80	2,761	2,665	2,945	2,424	2,802	2,060
81	2,903	2,691	3,191	2,697	3,059	2,351
82	3,036	2,683	3,441	2,988	3,315	2,686
83	3,194	2,688	3,733	3,312	3,604	3,047
84	3,319	2,605	4,028	3,638	3,899	3,407
85	3,442	2,562	4,282	3,949	4,181	3,771
86	3,561	2,606	4,462	4,245	4,408	4,146
87	3,556	2,501	4,539	4,529	4,563	4,549
88	3,420	2,242	4,500	4,748	4,648	4,894
89	3,315	2,179	4,361	4,875	4,659	5,136
90	3,119	1,989	4,148	4,910	4,590	5,271
91	2,822	1,627	3,887	4,836	4,388	5,312
92	2,605	1,503	3,588	4,634	4,025	5,255
93	2,322	1,356	3,186	4,317	3,568	5,050
94	1,933	1,074	2,695	3,893	3,081	4,667
95	1,559	812	2,213	3,402	2,594	4,160
96	1,240	624	1,777	2,881	2,120	3,585
97	945	465	1,362	2,344	1,656	2,970
98	690	333	1,000	1,820	1,226	2,350
99	485	230.3	706	1,351	871	1,775
100	174.6	56.5	274.1	811	392	1,166

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 Lithuania and Switzerland 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
• Lithuania vs Switzerland: Facts and Figures

By topic vs comparisons:

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