Life Expectancy in Lithuania vs Switzerland (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Switzerland

Male

Female

1x

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

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 Lithuania can expect to live to 77.4 years compared to 84.9 in Switzerland, rising to 82.9 and 86.9 at 65, and to 88.4 and 90.1 at 80 — higher than the 76.5 and 84.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Switzerland

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 95.5% in Switzerland are expected to live past 60, 72.1% and 89.2% past 70, 51.1% and 74.4% past 80, and only 18.6% and 37% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Lithuania

Male

Female

Switzerland

Male

Female

1x

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

This chart displays the probability of dying at any given age in Lithuania compared to Switzerland, as 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.

Death rate by age in Lithuania vs Switzerland

Chart Table

Lithuania

Male

Female

Switzerland

Male

Female

1x

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

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 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, 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 Lithuania and Switzerland more than their death rates.

Life expectancy in other countries

+ -

1x