Life Expectancy in Lithuania vs Solomon Islands (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 the Solomon Islands: 77.4 years vs 73.4 at 30, 82.9 vs 78.8 at 65, 88.4 vs 85.8 at 80 — significantly higher than the 76.5 vs 71 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 the Solomon Islands.

Table

Current age, years	Total life expectancy, years
	Lithuania			Solomon Islands
	Average	Male	Female	Average	Male	Female
0	76.5	71.8	81.1	71	69.6	72.5
1	76.7	72	81.3	71.9	70.6	73.4
2	76.7	72	81.3	72	70.7	73.4
3	76.7	72.1	81.3	72	70.7	73.5
4	76.7	72.1	81.3	72.1	70.8	73.5
5	76.8	72.1	81.3	72.1	70.9	73.6
6	76.8	72.1	81.3	72.2	70.9	73.6
7	76.8	72.1	81.3	72.2	70.9	73.7
8	76.8	72.1	81.3	72.3	71	73.7
9	76.8	72.1	81.4	72.3	71	73.7
10	76.8	72.1	81.4	72.3	71.1	73.8
11	76.8	72.1	81.4	72.4	71.1	73.8
12	76.8	72.1	81.4	72.4	71.1	73.8
13	76.8	72.1	81.4	72.4	71.2	73.8
14	76.8	72.2	81.4	72.5	71.2	73.9
15	76.8	72.2	81.4	72.5	71.2	73.9
16	76.9	72.2	81.4	72.5	71.3	73.9
17	76.9	72.2	81.4	72.6	71.3	74
18	76.9	72.2	81.4	72.6	71.4	74
19	76.9	72.3	81.5	72.7	71.5	74.1
20	77	72.3	81.5	72.8	71.5	74.1
21	77	72.4	81.5	72.8	71.6	74.2
22	77	72.4	81.5	72.9	71.7	74.2
23	77.1	72.5	81.5	73	71.8	74.3
24	77.1	72.5	81.6	73	71.9	74.3
25	77.1	72.6	81.6	73.1	71.9	74.4
26	77.2	72.6	81.6	73.2	72	74.4
27	77.2	72.7	81.6	73.2	72.1	74.5
28	77.3	72.7	81.6	73.3	72.1	74.6
29	77.3	72.8	81.7	73.4	72.2	74.6
30	77.4	72.9	81.7	73.4	72.3	74.7
31	77.4	73	81.7	73.5	72.3	74.8
32	77.5	73.1	81.7	73.6	72.4	74.8
33	77.6	73.2	81.8	73.6	72.5	74.9
34	77.6	73.3	81.8	73.7	72.6	75
35	77.7	73.4	81.9	73.8	72.6	75
36	77.8	73.5	81.9	73.8	72.7	75.1
37	77.9	73.6	81.9	73.9	72.8	75.2
38	78	73.7	82	74	72.9	75.3
39	78.1	73.9	82	74.1	73	75.3
40	78.2	74	82.1	74.2	73	75.4
41	78.3	74.1	82.2	74.3	73.1	75.5
42	78.4	74.3	82.2	74.4	73.2	75.6
43	78.5	74.4	82.3	74.5	73.3	75.7
44	78.7	74.6	82.3	74.6	73.4	75.8
45	78.8	74.8	82.4	74.7	73.6	75.9
46	78.9	74.9	82.5	74.8	73.7	76
47	79.1	75.1	82.6	74.9	73.8	76.1
48	79.2	75.3	82.7	75.1	74	76.3
49	79.4	75.5	82.8	75.2	74.1	76.4
50	79.5	75.7	82.9	75.3	74.3	76.5
51	79.7	75.9	82.9	75.5	74.4	76.7
52	79.9	76.2	83.1	75.7	74.6	76.8
53	80.1	76.4	83.2	75.8	74.8	77
54	80.2	76.6	83.3	76	75	77.1
55	80.4	76.9	83.4	76.2	75.2	77.3
56	80.7	77.2	83.5	76.4	75.5	77.5
57	80.9	77.4	83.6	76.6	75.7	77.7
58	81.1	77.7	83.7	76.9	76	77.9
59	81.3	78	83.9	77.1	76.2	78.1
60	81.5	78.3	84	77.4	76.5	78.3
61	81.8	78.7	84.2	77.6	76.8	78.5
62	82.1	79	84.3	77.9	77.1	78.7
63	82.3	79.4	84.5	78.2	77.4	79
64	82.6	79.8	84.7	78.5	77.8	79.3
65	82.9	80.2	84.9	78.8	78.1	79.5
66	83.3	80.6	85.1	79.2	78.5	79.8
67	83.6	81	85.3	79.5	78.9	80.2
68	83.9	81.5	85.5	79.9	79.3	80.5
69	84.2	81.9	85.7	80.3	79.7	80.8
70	84.6	82.4	85.9	80.7	80.1	81.2
71	84.9	82.9	86.1	81.1	80.6	81.6
72	85.3	83.3	86.4	81.5	81.1	82
73	85.6	83.8	86.6	82	81.6	82.4
74	86	84.3	86.9	82.5	82.1	82.9
75	86.4	84.8	87.2	83	82.6	83.3
76	86.8	85.3	87.5	83.5	83.1	83.8
77	87.1	85.8	87.8	84	83.7	84.3
78	87.5	86.4	88.1	84.6	84.3	84.9
79	88	86.9	88.4	85.2	84.9	85.4
80	88.4	87.4	88.8	85.8	85.5	86
81	88.8	88	89.2	86.4	86.2	86.6
82	89.3	88.5	89.6	87	86.8	87.3
83	89.8	89.1	90	87.7	87.5	87.9
84	90.3	89.7	90.5	88.4	88.2	88.6
85	90.8	90.3	91	89.1	88.9	89.3
86	91.4	90.9	91.6	89.8	89.6	90
87	92	91.6	92.1	90.6	90.4	90.8
88	92.6	92.3	92.7	91.3	91.1	91.5
89	93.3	93	93.4	92.1	91.9	92.3
90	94	93.7	94	92.9	92.7	93.1
91	94.6	94.4	94.7	93.7	93.5	93.9
92	95.4	95.2	95.4	94.5	94.4	94.7
93	96.1	95.9	96.1	95.4	95.2	95.5
94	96.9	96.7	96.9	96.2	96.1	96.3
95	97.7	97.6	97.7	97.1	97	97.2
96	98.5	98.4	98.5	98	97.9	98
97	99.3	99.2	99.3	98.9	98.8	98.9
98	100.2	100.1	100.2	99.8	99.7	99.8
99	101.1	100.9	101.1	100.7	100.6	100.8
100	102	101.8	102	101.7	101.6	101.7

Odds of living to age in Lithuania vs Solomon Islands

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.7% in Lithuania and 82% in the Solomon Islands are expected to survive till at least 60 years old, 72.1% and 64% will live to 70 years or older, 51.1% and 32.9% to 80+ years, and 18.6% and 5.43% 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			Solomon Islands
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	98.7%	98.5%	98.9%
2	99.7%	99.7%	99.7%	98.6%	98.4%	98.8%
3	99.7%	99.7%	99.7%	98.5%	98.4%	98.7%
4	99.7%	99.6%	99.7%	98.4%	98.3%	98.6%
5	99.6%	99.6%	99.7%	98.4%	98.2%	98.6%
6	99.6%	99.6%	99.7%	98.3%	98.1%	98.5%
7	99.6%	99.6%	99.6%	98.2%	98%	98.4%
8	99.6%	99.6%	99.6%	98.2%	98%	98.4%
9	99.6%	99.6%	99.6%	98.1%	97.9%	98.3%
10	99.6%	99.6%	99.6%	98.1%	97.9%	98.3%
11	99.6%	99.6%	99.6%	98%	97.8%	98.2%
12	99.6%	99.6%	99.6%	98%	97.7%	98.2%
13	99.6%	99.5%	99.6%	97.9%	97.7%	98.2%
14	99.5%	99.5%	99.6%	97.9%	97.6%	98.1%
15	99.5%	99.5%	99.5%	97.8%	97.6%	98.1%
16	99.5%	99.4%	99.5%	97.7%	97.5%	98%
17	99.5%	99.4%	99.5%	97.7%	97.4%	97.9%
18	99.4%	99.4%	99.5%	97.6%	97.3%	97.9%
19	99.4%	99.3%	99.5%	97.5%	97.2%	97.8%
20	99.3%	99.2%	99.4%	97.3%	97%	97.7%
21	99.2%	99.1%	99.4%	97.2%	96.9%	97.6%
22	99.2%	99%	99.4%	97.1%	96.7%	97.5%
23	99.1%	98.9%	99.3%	97%	96.6%	97.4%
24	99.1%	98.8%	99.3%	96.8%	96.4%	97.3%
25	99%	98.7%	99.3%	96.7%	96.3%	97.2%
26	98.9%	98.6%	99.2%	96.6%	96.1%	97%
27	98.8%	98.5%	99.2%	96.4%	96%	96.9%
28	98.7%	98.3%	99.2%	96.3%	95.8%	96.8%
29	98.6%	98.2%	99.1%	96.2%	95.7%	96.7%
30	98.5%	98%	99.1%	96%	95.5%	96.5%
31	98.4%	97.8%	99%	95.9%	95.4%	96.4%
32	98.3%	97.6%	99%	95.7%	95.2%	96.2%
33	98.1%	97.4%	98.9%	95.5%	95%	96.1%
34	97.9%	97.1%	98.8%	95.4%	94.9%	95.9%
35	97.8%	96.9%	98.7%	95.2%	94.7%	95.8%
36	97.6%	96.6%	98.6%	95%	94.5%	95.6%
37	97.4%	96.3%	98.5%	94.8%	94.3%	95.4%
38	97.1%	96%	98.4%	94.6%	94.1%	95.2%
39	96.9%	95.6%	98.3%	94.4%	93.8%	95%
40	96.6%	95.2%	98.2%	94.2%	93.6%	94.8%
41	96.3%	94.8%	98%	93.9%	93.3%	94.5%
42	96%	94.3%	97.9%	93.6%	93%	94.3%
43	95.7%	93.9%	97.8%	93.3%	92.7%	94%
44	95.4%	93.4%	97.6%	93%	92.4%	93.7%
45	95%	92.9%	97.4%	92.7%	92%	93.4%
46	94.6%	92.3%	97.2%	92.3%	91.6%	93.1%
47	94.2%	91.8%	97%	91.9%	91.1%	92.7%
48	93.7%	91.1%	96.7%	91.5%	90.7%	92.3%
49	93.3%	90.4%	96.5%	91%	90.1%	91.9%
50	92.8%	89.7%	96.2%	90.4%	89.5%	91.4%
51	92.3%	89%	95.9%	89.9%	88.9%	90.9%
52	91.7%	88.2%	95.6%	89.3%	88.2%	90.4%
53	91.1%	87.4%	95.3%	88.6%	87.5%	89.8%
54	90.5%	86.4%	94.9%	87.9%	86.6%	89.2%
55	89.8%	85.4%	94.5%	87.1%	85.7%	88.5%
56	89%	84.4%	94.1%	86.2%	84.8%	87.8%
57	88.3%	83.2%	93.7%	85.3%	83.7%	87%
58	87.5%	82.1%	93.3%	84.3%	82.5%	86.2%
59	86.6%	80.8%	92.8%	83.2%	81.3%	85.3%
60	85.7%	79.5%	92.3%	82%	79.9%	84.3%
61	84.6%	78%	91.7%	80.8%	78.5%	83.2%
62	83.5%	76.4%	91%	79.4%	76.9%	82.1%
63	82.3%	74.8%	90.3%	77.9%	75.2%	80.8%
64	81.1%	73%	89.6%	76.3%	73.5%	79.5%
65	79.8%	71.1%	88.8%	74.6%	71.6%	78%
66	78.3%	69.1%	87.9%	72.8%	69.5%	76.4%
67	76.8%	67%	86.9%	70.8%	67.4%	74.6%
68	75.3%	64.9%	85.9%	68.7%	65.1%	72.7%
69	73.7%	62.7%	84.8%	66.5%	62.6%	70.7%
70	72.1%	60.5%	83.6%	64%	60%	68.5%
71	70.4%	58.2%	82.4%	61.5%	57.3%	66.1%
72	68.6%	55.9%	81.1%	58.8%	54.5%	63.5%
73	66.7%	53.5%	79.6%	55.9%	51.6%	60.8%
74	64.7%	51.1%	78.1%	52.9%	48.5%	57.9%
75	62.7%	48.6%	76.3%	49.8%	45.3%	54.8%
76	60.6%	46.1%	74.5%	46.6%	42.1%	51.6%
77	58.3%	43.5%	72.5%	43.3%	38.8%	48.2%
78	56%	40.9%	70.3%	39.8%	35.5%	44.7%
79	53.6%	38.4%	67.9%	36.4%	32.1%	41.1%
80	51.1%	35.8%	65.3%	32.9%	28.8%	37.4%
81	48.3%	33.2%	62.3%	29.4%	25.5%	33.7%
82	45.4%	30.5%	59.1%	26%	22.4%	30%
83	42.4%	27.8%	55.7%	22.6%	19.3%	26.4%
84	39.2%	25.1%	51.9%	19.5%	16.5%	22.8%
85	35.8%	22.5%	47.9%	16.5%	13.8%	19.5%
86	32.4%	19.9%	43.6%	13.7%	11.4%	16.4%
87	28.8%	17.3%	39.2%	11.2%	9.23%	13.5%
88	25.3%	14.8%	34.6%	9.01%	7.3%	11%
89	21.9%	12.6%	30.1%	7.08%	5.64%	8.78%
90	18.6%	10.4%	25.8%	5.43%	4.24%	6.87%
91	15.4%	8.41%	21.6%	4.06%	3.09%	5.26%
92	12.6%	6.79%	17.7%	2.96%	2.18%	3.93%
93	10%	5.28%	14.2%	2.1%	1.5%	2.86%
94	7.68%	3.93%	11%	1.44%	0.99%	2.01%
95	5.75%	2.85%	8.27%	0.96%	0.64%	1.37%
96	4.19%	2.04%	6.06%	0.62%	0.4%	0.9%
97	2.95%	1.42%	4.28%	0.38%	0.24%	0.57%
98	2.01%	0.95%	2.92%	0.23%	0.14%	0.35%
99	1.32%	0.62%	1.92%	0.13%	0.08%	0.21%
100	0.83%	0.39%	1.21%	0.07%	0.04%	0.12%

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 1.32% in the Solomon Islands, 0.13% vs 0.16% at age 30, 1.2% vs 1.54% at 60, and 5.41% vs 10.6% at 80.

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

Table

Age	Probability of dying
	Lithuania			Solomon Islands
	Average	Male	Female	Average	Male	Female
0	0.29%	0.3%	0.28%	1.32%	1.49%	1.15%
1	0.03%	0.02%	0.03%	0.08%	0.08%	0.07%
2	0.01%	0.01%	0.01%	0.08%	0.08%	0.07%
3	0.01%	0.01%	0.01%	0.08%	0.08%	0.07%
4	0.01%	0.01%	0.01%	0.07%	0.08%	0.07%
5	0.009%	0.009%	0.01%	0.07%	0.08%	0.07%
6	0.01%	0.009%	0.01%	0.07%	0.07%	0.06%
7	0.01%	0.01%	0.01%	0.06%	0.07%	0.06%
8	0.01%	0.01%	0.01%	0.06%	0.06%	0.05%
9	0.01%	0.009%	0.01%	0.05%	0.06%	0.05%
10	0.01%	0.01%	0.01%	0.05%	0.06%	0.04%
11	0.01%	0.02%	0.008%	0.05%	0.06%	0.04%
12	0.01%	0.02%	0.01%	0.05%	0.06%	0.04%
13	0.02%	0.02%	0.02%	0.05%	0.06%	0.04%
14	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
15	0.03%	0.04%	0.02%	0.07%	0.08%	0.06%
16	0.03%	0.05%	0.02%	0.08%	0.1%	0.07%
17	0.03%	0.04%	0.02%	0.09%	0.11%	0.08%
18	0.05%	0.07%	0.03%	0.11%	0.13%	0.09%
19	0.06%	0.09%	0.03%	0.12%	0.14%	0.1%
20	0.06%	0.08%	0.03%	0.13%	0.15%	0.1%
21	0.06%	0.08%	0.03%	0.13%	0.15%	0.11%
22	0.06%	0.09%	0.03%	0.13%	0.16%	0.11%
23	0.07%	0.1%	0.03%	0.14%	0.16%	0.11%
24	0.07%	0.11%	0.03%	0.14%	0.16%	0.12%
25	0.08%	0.12%	0.03%	0.14%	0.16%	0.12%
26	0.08%	0.13%	0.04%	0.14%	0.16%	0.13%
27	0.09%	0.14%	0.04%	0.14%	0.16%	0.13%
28	0.11%	0.18%	0.04%	0.15%	0.16%	0.14%
29	0.13%	0.2%	0.05%	0.15%	0.16%	0.14%
30	0.13%	0.19%	0.06%	0.16%	0.17%	0.15%
31	0.13%	0.2%	0.06%	0.16%	0.17%	0.15%
32	0.15%	0.23%	0.06%	0.17%	0.18%	0.16%
33	0.18%	0.26%	0.09%	0.18%	0.19%	0.17%
34	0.19%	0.28%	0.09%	0.18%	0.19%	0.18%
35	0.2%	0.29%	0.09%	0.19%	0.2%	0.18%
36	0.21%	0.3%	0.1%	0.21%	0.22%	0.2%
37	0.23%	0.33%	0.11%	0.22%	0.23%	0.21%
38	0.27%	0.4%	0.12%	0.23%	0.24%	0.22%
39	0.28%	0.41%	0.13%	0.25%	0.26%	0.23%
40	0.28%	0.42%	0.13%	0.27%	0.28%	0.25%
41	0.31%	0.47%	0.13%	0.29%	0.31%	0.27%
42	0.33%	0.49%	0.16%	0.31%	0.34%	0.29%
43	0.35%	0.5%	0.19%	0.34%	0.37%	0.31%
44	0.38%	0.54%	0.2%	0.37%	0.4%	0.33%
45	0.41%	0.6%	0.2%	0.4%	0.44%	0.36%
46	0.44%	0.64%	0.23%	0.44%	0.49%	0.39%
47	0.48%	0.69%	0.25%	0.48%	0.54%	0.43%
48	0.51%	0.74%	0.27%	0.53%	0.59%	0.46%
49	0.53%	0.78%	0.27%	0.58%	0.65%	0.5%
50	0.56%	0.83%	0.29%	0.63%	0.71%	0.54%
51	0.61%	0.88%	0.34%	0.69%	0.78%	0.59%
52	0.65%	0.97%	0.34%	0.75%	0.85%	0.64%
53	0.7%	1.06%	0.36%	0.82%	0.94%	0.69%
54	0.78%	1.16%	0.42%	0.9%	1.04%	0.75%
55	0.83%	1.26%	0.42%	0.98%	1.14%	0.81%
56	0.86%	1.34%	0.42%	1.08%	1.26%	0.88%
57	0.91%	1.39%	0.47%	1.18%	1.38%	0.96%
58	0.98%	1.48%	0.54%	1.29%	1.52%	1.05%
59	1.09%	1.69%	0.58%	1.41%	1.66%	1.15%
60	1.2%	1.86%	0.63%	1.54%	1.82%	1.26%
61	1.31%	2.01%	0.71%	1.69%	1.99%	1.39%
62	1.41%	2.17%	0.78%	1.85%	2.17%	1.53%
63	1.52%	2.36%	0.83%	2.04%	2.37%	1.68%
64	1.64%	2.58%	0.9%	2.24%	2.6%	1.86%
65	1.79%	2.81%	1.01%	2.46%	2.84%	2.06%
66	1.92%	3.03%	1.11%	2.71%	3.11%	2.28%
67	2.01%	3.19%	1.16%	2.98%	3.41%	2.54%
68	2.11%	3.33%	1.26%	3.29%	3.74%	2.82%
69	2.23%	3.51%	1.37%	3.63%	4.11%	3.14%
70	2.35%	3.77%	1.44%	4%	4.51%	3.5%
71	2.54%	4.02%	1.6%	4.41%	4.94%	3.89%
72	2.74%	4.26%	1.82%	4.86%	5.42%	4.32%
73	2.93%	4.53%	1.99%	5.35%	5.94%	4.79%
74	3.14%	4.82%	2.19%	5.88%	6.51%	5.31%
75	3.4%	5.16%	2.45%	6.48%	7.13%	5.89%
76	3.69%	5.61%	2.7%	7.14%	7.82%	6.53%
77	3.98%	6%	2.98%	7.88%	8.58%	7.24%
78	4.3%	6.23%	3.39%	8.7%	9.42%	8.05%
79	4.77%	6.65%	3.91%	9.6%	10.3%	8.94%
80	5.41%	7.44%	4.51%	10.6%	11.4%	9.93%
81	6.01%	8.11%	5.12%	11.7%	12.4%	11%
82	6.69%	8.81%	5.82%	12.8%	13.6%	12.2%
83	7.54%	9.67%	6.7%	14%	14.8%	13.4%
84	8.47%	10.4%	7.75%	15.3%	16.1%	14.7%
85	9.6%	11.4%	8.93%	16.7%	17.5%	16%
86	11%	13.1%	10.2%	18.2%	19.1%	17.3%
87	12.3%	14.4%	11.6%	19.8%	20.8%	18.7%
88	13.5%	15.1%	13%	21.5%	22.8%	20.2%
89	15.2%	17.3%	14.5%	23.3%	24.9%	21.8%
90	16.8%	19.1%	16.1%	25.2%	27.1%	23.4%
91	18.3%	19.3%	18%	27.1%	29.3%	25.3%
92	20.7%	22.1%	20.2%	29.2%	31.5%	27.3%
93	23.2%	25.7%	22.5%	31.3%	33.6%	29.5%
94	25.2%	27.3%	24.6%	33.5%	35.7%	31.9%
95	27.1%	28.5%	26.8%	35.6%	37.6%	34.3%
96	29.6%	30.6%	29.3%	37.8%	39.5%	36.7%
97	32%	32.8%	31.8%	40%	41.5%	38.9%
98	34.4%	35%	34.3%	42%	43.5%	41%
99	36.9%	37.2%	36.8%	44%	45.4%	43%
100	39.3%	39.3%	39.3%	46.1%	47.4%	45.3%

Death rate by age in Lithuania compared to the Solomon Islands

In Lithuania, the most common age of death is 86, compared to 79 in the Solomon Islands. The median age of death is 80.4 in Lithuania and 74.9 in the Solomon Islands — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Lithuania			Solomon Islands
	Total	Male	Female	Total	Male	Female
0	291.9	305	278.5	1,324	1,489	1,147
1	25.4	24.3	26.4	76.8	80.8	72.5
2	13.2	14.4	11.8	76	79.8	71.9
3	13.8	14.4	13.1	75	78.7	71.1
4	11.3	12.2	10.4	73.5	77.1	69.7
5	9.42	9.23	9.62	71	74.7	67.1
6	9.63	8.66	10.7	67.4	71.4	63.1
7	11.3	12	10.7	62.8	67.3	57.9
8	12	13.2	10.7	57.8	62.9	52.3
9	10.3	9.11	11.5	53.2	58.9	47
10	10.5	10.8	10.2	49.8	56.1	43
11	12.2	15.7	8.41	48.3	55.3	40.9
12	14.3	18.6	9.7	49.1	56.8	41
13	19.1	21.8	16.4	52.6	61.2	43.5
14	25	28.9	20.8	59	68.7	48.5
15	29.1	40.8	16.8	68.2	79.5	56
16	30.9	45.9	15.2	79.7	92.9	65.5
17	34.2	43.8	24.1	92.3	107.7	75.6
18	50.7	70.8	29.8	104.5	122.3	85.2
19	62.7	94.3	30	114.7	134.8	93
20	56.2	83.3	28.3	122.2	144.1	98.6
21	56.7	82.6	30	127	149.8	102.6
22	62.3	92.2	31.2	129.8	152.5	105.7
23	64.5	99.2	28.2	131.5	152.9	109
24	67.9	107	27.3	132.9	152.1	112.7
25	77	118.5	33.7	134.3	150.9	117.1
26	82.1	123.9	38.2	136.2	150.1	122
27	90.6	138.4	39.5	138.7	150.1	127.1
28	109.5	173.6	40.2	141.8	151.4	132
29	123.7	194.9	46.9	145.5	153.9	136.9
30	123.6	182.3	59.6	149.9	157.8	141.8
31	130.3	194.6	59.1	155.1	162.9	147.1
32	148.5	225.2	62.9	161.2	169.1	153
33	172.2	250.4	84.7	168.2	176.2	160
34	186.8	269.6	92.7	176.2	184.2	168
35	194	281.1	93.1	185.4	193.4	177.1
36	201.3	287.8	100.8	195.6	203.8	187.3
37	224.5	322	110.3	207.2	216	198.3
38	262.3	387	115.9	220.1	230	210.2
39	271.3	396	125	234.7	246.4	223
40	275.1	398	130.8	251.2	265.4	237
41	301	446	132.1	270	287.3	252.5
42	320	461	155.8	291.5	312	270
43	336	467	183.2	316	341	289.8
44	361	507	192	343	373	312
45	391	555	199.3	374	408	337
46	417	589	222.4	407	447	365
47	448	630	244.5	444	489	395
48	475	674	256.5	483	534	427
49	493	708	260	524	582	461
50	518	741	280.7	569	635	497
51	560	787	324	617	691	535
52	596	853	327	669	753	576
53	639	928	338	726	822	620
54	702	1,001	394	788	897	667
55	742	1,077	398	855	978	718
56	766	1,132	394	927	1,066	774
57	800	1,155	445	1,004	1,158	836
58	857	1,218	506	1,085	1,253	904
59	942	1,363	535	1,173	1,352	980
60	1,028	1,481	582	1,266	1,455	1,063
61	1,106	1,569	648	1,366	1,560	1,154
62	1,177	1,655	711	1,473	1,670	1,253
63	1,248	1,765	754	1,586	1,785	1,362
64	1,330	1,887	809	1,708	1,906	1,480
65	1,429	2,002	900	1,836	2,033	1,607
66	1,507	2,091	975	1,972	2,164	1,745
67	1,542	2,140	1,004	2,114	2,299	1,894
68	1,590	2,161	1,081	2,261	2,436	2,053
69	1,642	2,203	1,159	2,412	2,573	2,220
70	1,696	2,284	1,202	2,563	2,707	2,394
71	1,785	2,341	1,322	2,711	2,835	2,570
72	1,881	2,380	1,473	2,854	2,954	2,744
73	1,953	2,423	1,589	2,989	3,062	2,913
74	2,030	2,466	1,712	3,114	3,155	3,075
75	2,134	2,512	1,873	3,227	3,233	3,226
76	2,234	2,586	2,009	3,325	3,292	3,365
77	2,321	2,611	2,161	3,406	3,331	3,490
78	2,410	2,551	2,381	3,465	3,344	3,596
79	2,559	2,550	2,657	3,494	3,326	3,674
80	2,761	2,665	2,945	3,486	3,271	3,716
81	2,903	2,691	3,191	3,433	3,174	3,710
82	3,036	2,683	3,441	3,331	3,036	3,648
83	3,194	2,688	3,733	3,180	2,859	3,525
84	3,319	2,605	4,028	2,984	2,651	3,344
85	3,442	2,562	4,282	2,753	2,420	3,111
86	3,561	2,606	4,462	2,494	2,175	2,836
87	3,556	2,501	4,539	2,218	1,922	2,535
88	3,420	2,242	4,500	1,933	1,663	2,222
89	3,315	2,179	4,361	1,646	1,403	1,910
90	3,119	1,989	4,148	1,367	1,148	1,610
91	2,822	1,627	3,887	1,103	906	1,330
92	2,605	1,503	3,588	864	688	1,073
93	2,322	1,356	3,186	656	503	843
94	1,933	1,074	2,695	482	354	642
95	1,559	812	2,213	342	240.1	470
96	1,240	624	1,777	233.4	157.6	330
97	945	465	1,362	153.3	100	222
98	690	333	1,000	96.8	61.3	142.9
99	485	230.3	706	58.7	36.2	88.3
100	174.6	56.5	274.1	0	0	0

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 the Solomon Islands 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 Solomon Islands: Facts and Figures

By topic vs comparisons:

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