Life Expectancy in Germany vs Lithuania (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 Germany vs Lithuania: 82.4 years vs 77.4 at 30, 85.2 vs 82.9 at 65, 89.2 vs 88.4 at 80 — significantly higher than the 81.9 vs 76.5 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	Germany			Lithuania
	Average	Male	Female	Average	Male	Female
0	81.9	79.6	84.1	76.5	71.8	81.1
1	82.1	79.8	84.3	76.7	72	81.3
2	82.1	79.9	84.3	76.7	72	81.3
3	82.1	79.9	84.3	76.7	72.1	81.3
4	82.1	79.9	84.4	76.7	72.1	81.3
5	82.1	79.9	84.4	76.8	72.1	81.3
6	82.1	79.9	84.4	76.8	72.1	81.3
7	82.1	79.9	84.4	76.8	72.1	81.3
8	82.1	79.9	84.4	76.8	72.1	81.3
9	82.1	79.9	84.4	76.8	72.1	81.4
10	82.1	79.9	84.4	76.8	72.1	81.4
11	82.2	79.9	84.4	76.8	72.1	81.4
12	82.2	79.9	84.4	76.8	72.1	81.4
13	82.2	79.9	84.4	76.8	72.1	81.4
14	82.2	79.9	84.4	76.8	72.2	81.4
15	82.2	79.9	84.4	76.8	72.2	81.4
16	82.2	80	84.4	76.9	72.2	81.4
17	82.2	80	84.4	76.9	72.2	81.4
18	82.2	80	84.4	76.9	72.2	81.4
19	82.2	80	84.4	76.9	72.3	81.5
20	82.2	80	84.4	77	72.3	81.5
21	82.2	80	84.5	77	72.4	81.5
22	82.3	80.1	84.5	77	72.4	81.5
23	82.3	80.1	84.5	77.1	72.5	81.5
24	82.3	80.1	84.5	77.1	72.5	81.6
25	82.3	80.1	84.5	77.1	72.6	81.6
26	82.3	80.1	84.5	77.2	72.6	81.6
27	82.3	80.2	84.5	77.2	72.7	81.6
28	82.4	80.2	84.5	77.3	72.7	81.6
29	82.4	80.2	84.5	77.3	72.8	81.7
30	82.4	80.2	84.5	77.4	72.9	81.7
31	82.4	80.3	84.6	77.4	73	81.7
32	82.4	80.3	84.6	77.5	73.1	81.7
33	82.5	80.3	84.6	77.6	73.2	81.8
34	82.5	80.3	84.6	77.6	73.3	81.8
35	82.5	80.4	84.6	77.7	73.4	81.9
36	82.5	80.4	84.6	77.8	73.5	81.9
37	82.6	80.4	84.7	77.9	73.6	81.9
38	82.6	80.5	84.7	78	73.7	82
39	82.6	80.5	84.7	78.1	73.9	82
40	82.7	80.6	84.7	78.2	74	82.1
41	82.7	80.6	84.8	78.3	74.1	82.2
42	82.7	80.6	84.8	78.4	74.3	82.2
43	82.8	80.7	84.8	78.5	74.4	82.3
44	82.8	80.7	84.9	78.7	74.6	82.3
45	82.9	80.8	84.9	78.8	74.8	82.4
46	82.9	80.9	84.9	78.9	74.9	82.5
47	83	80.9	85	79.1	75.1	82.6
48	83	81	85	79.2	75.3	82.7
49	83.1	81.1	85.1	79.4	75.5	82.8
50	83.2	81.2	85.1	79.5	75.7	82.9
51	83.2	81.3	85.2	79.7	75.9	82.9
52	83.3	81.4	85.3	79.9	76.2	83.1
53	83.4	81.5	85.3	80.1	76.4	83.2
54	83.5	81.6	85.4	80.2	76.6	83.3
55	83.6	81.7	85.5	80.4	76.9	83.4
56	83.7	81.9	85.6	80.7	77.2	83.5
57	83.9	82	85.7	80.9	77.4	83.6
58	84	82.2	85.8	81.1	77.7	83.7
59	84.1	82.3	85.9	81.3	78	83.9
60	84.3	82.5	86	81.5	78.3	84
61	84.5	82.7	86.1	81.8	78.7	84.2
62	84.6	82.9	86.2	82.1	79	84.3
63	84.8	83.2	86.4	82.3	79.4	84.5
64	85	83.4	86.5	82.6	79.8	84.7
65	85.2	83.7	86.7	82.9	80.2	84.9
66	85.4	83.9	86.8	83.3	80.6	85.1
67	85.6	84.2	87	83.6	81	85.3
68	85.9	84.4	87.2	83.9	81.5	85.5
69	86.1	84.7	87.3	84.2	81.9	85.7
70	86.3	85	87.5	84.6	82.4	85.9
71	86.6	85.3	87.7	84.9	82.9	86.1
72	86.9	85.6	87.9	85.3	83.3	86.4
73	87.1	85.9	88.1	85.6	83.8	86.6
74	87.4	86.3	88.3	86	84.3	86.9
75	87.7	86.6	88.6	86.4	84.8	87.2
76	88	86.9	88.8	86.8	85.3	87.5
77	88.2	87.3	89	87.1	85.8	87.8
78	88.6	87.6	89.3	87.5	86.4	88.1
79	88.9	88	89.6	88	86.9	88.4
80	89.2	88.4	89.8	88.4	87.4	88.8
81	89.6	88.8	90.2	88.8	88	89.2
82	90	89.3	90.5	89.3	88.5	89.6
83	90.4	89.8	90.9	89.8	89.1	90
84	90.9	90.3	91.3	90.3	89.7	90.5
85	91.3	90.8	91.7	90.8	90.3	91
86	91.9	91.3	92.2	91.4	90.9	91.6
87	92.4	91.9	92.7	92	91.6	92.1
88	93	92.5	93.2	92.6	92.3	92.7
89	93.6	93.2	93.8	93.3	93	93.4
90	94.2	93.9	94.4	94	93.7	94
91	94.9	94.5	95	94.6	94.4	94.7
92	95.6	95.3	95.7	95.4	95.2	95.4
93	96.3	96	96.4	96.1	95.9	96.1
94	97	96.8	97.1	96.9	96.7	96.9
95	97.8	97.6	97.9	97.7	97.6	97.7
96	98.6	98.4	98.6	98.5	98.4	98.5
97	99.4	99.2	99.4	99.3	99.2	99.3
98	100.2	100.1	100.2	100.2	100.1	100.2
99	101	100.9	101.1	101.1	100.9	101.1
100	101.9	101.8	101.9	102	101.8	102

Odds of living to age in Germany vs Lithuania

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 93.4% in Germany and 85.7% in Lithuania are expected to survive till at least 60 years old, 84.3% and 72.1% will live to 70 years or older, 66.5% and 51.1% to 80+ years, and 28.7% and 18.6% 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
	Germany			Lithuania
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.8%	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%	99.7%	99.7%
4	99.7%	99.7%	99.7%	99.7%	99.6%	99.7%
5	99.7%	99.7%	99.7%	99.6%	99.6%	99.7%
6	99.7%	99.7%	99.7%	99.6%	99.6%	99.7%
7	99.7%	99.6%	99.7%	99.6%	99.6%	99.6%
8	99.7%	99.6%	99.7%	99.6%	99.6%	99.6%
9	99.7%	99.6%	99.7%	99.6%	99.6%	99.6%
10	99.7%	99.6%	99.7%	99.6%	99.6%	99.6%
11	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
12	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
13	99.6%	99.6%	99.7%	99.6%	99.5%	99.6%
14	99.6%	99.6%	99.7%	99.5%	99.5%	99.6%
15	99.6%	99.6%	99.6%	99.5%	99.5%	99.5%
16	99.6%	99.6%	99.6%	99.5%	99.4%	99.5%
17	99.6%	99.6%	99.6%	99.5%	99.4%	99.5%
18	99.6%	99.5%	99.6%	99.4%	99.4%	99.5%
19	99.5%	99.5%	99.6%	99.4%	99.3%	99.5%
20	99.5%	99.5%	99.6%	99.3%	99.2%	99.4%
21	99.5%	99.4%	99.6%	99.2%	99.1%	99.4%
22	99.5%	99.4%	99.5%	99.2%	99%	99.4%
23	99.4%	99.4%	99.5%	99.1%	98.9%	99.3%
24	99.4%	99.3%	99.5%	99.1%	98.8%	99.3%
25	99.4%	99.3%	99.5%	99%	98.7%	99.3%
26	99.4%	99.2%	99.5%	98.9%	98.6%	99.2%
27	99.3%	99.2%	99.5%	98.8%	98.5%	99.2%
28	99.3%	99.2%	99.5%	98.7%	98.3%	99.2%
29	99.3%	99.1%	99.4%	98.6%	98.2%	99.1%
30	99.2%	99.1%	99.4%	98.5%	98%	99.1%
31	99.2%	99%	99.4%	98.4%	97.8%	99%
32	99.2%	99%	99.4%	98.3%	97.6%	99%
33	99.1%	98.9%	99.3%	98.1%	97.4%	98.9%
34	99.1%	98.9%	99.3%	97.9%	97.1%	98.8%
35	99%	98.8%	99.3%	97.8%	96.9%	98.7%
36	99%	98.7%	99.2%	97.6%	96.6%	98.6%
37	98.9%	98.6%	99.2%	97.4%	96.3%	98.5%
38	98.8%	98.6%	99.1%	97.1%	96%	98.4%
39	98.8%	98.5%	99.1%	96.9%	95.6%	98.3%
40	98.7%	98.4%	99%	96.6%	95.2%	98.2%
41	98.6%	98.3%	99%	96.3%	94.8%	98%
42	98.5%	98.1%	98.9%	96%	94.3%	97.9%
43	98.4%	98%	98.8%	95.7%	93.9%	97.8%
44	98.3%	97.9%	98.8%	95.4%	93.4%	97.6%
45	98.2%	97.7%	98.7%	95%	92.9%	97.4%
46	98%	97.6%	98.6%	94.6%	92.3%	97.2%
47	97.9%	97.4%	98.5%	94.2%	91.8%	97%
48	97.7%	97.2%	98.3%	93.7%	91.1%	96.7%
49	97.5%	96.9%	98.2%	93.3%	90.4%	96.5%
50	97.3%	96.7%	98%	92.8%	89.7%	96.2%
51	97.1%	96.4%	97.9%	92.3%	89%	95.9%
52	96.9%	96.1%	97.7%	91.7%	88.2%	95.6%
53	96.6%	95.7%	97.5%	91.1%	87.4%	95.3%
54	96.3%	95.3%	97.2%	90.5%	86.4%	94.9%
55	95.9%	94.8%	97%	89.8%	85.4%	94.5%
56	95.5%	94.3%	96.7%	89%	84.4%	94.1%
57	95.1%	93.8%	96.4%	88.3%	83.2%	93.7%
58	94.6%	93.1%	96%	87.5%	82.1%	93.3%
59	94%	92.5%	95.7%	86.6%	80.8%	92.8%
60	93.4%	91.7%	95.2%	85.7%	79.5%	92.3%
61	92.8%	90.9%	94.8%	84.6%	78%	91.7%
62	92.1%	90%	94.3%	83.5%	76.4%	91%
63	91.3%	89%	93.8%	82.3%	74.8%	90.3%
64	90.5%	88%	93.2%	81.1%	73%	89.6%
65	89.6%	86.8%	92.6%	79.8%	71.1%	88.8%
66	88.7%	85.6%	91.9%	78.3%	69.1%	87.9%
67	87.7%	84.3%	91.2%	76.8%	67%	86.9%
68	86.6%	83%	90.4%	75.3%	64.9%	85.9%
69	85.5%	81.6%	89.5%	73.7%	62.7%	84.8%
70	84.3%	80%	88.6%	72.1%	60.5%	83.6%
71	83%	78.4%	87.6%	70.4%	58.2%	82.4%
72	81.6%	76.7%	86.5%	68.6%	55.9%	81.1%
73	80.1%	74.9%	85.4%	66.7%	53.5%	79.6%
74	78.5%	73%	84.1%	64.7%	51.1%	78.1%
75	76.9%	71%	82.8%	62.7%	48.6%	76.3%
76	75.1%	68.9%	81.4%	60.6%	46.1%	74.5%
77	73.2%	66.7%	79.8%	58.3%	43.5%	72.5%
78	71.2%	64.3%	78.1%	56%	40.9%	70.3%
79	68.9%	61.7%	76.2%	53.6%	38.4%	67.9%
80	66.5%	58.9%	74%	51.1%	35.8%	65.3%
81	63.8%	56%	71.6%	48.3%	33.2%	62.3%
82	60.8%	52.8%	68.9%	45.4%	30.5%	59.1%
83	57.6%	49.3%	65.8%	42.4%	27.8%	55.7%
84	54%	45.7%	62.4%	39.2%	25.1%	51.9%
85	50.3%	41.9%	58.6%	35.8%	22.5%	47.9%
86	46.2%	37.9%	54.5%	32.4%	19.9%	43.6%
87	42%	33.8%	50.1%	28.8%	17.3%	39.2%
88	37.6%	29.7%	45.4%	25.3%	14.8%	34.6%
89	33.1%	25.6%	40.5%	21.9%	12.6%	30.1%
90	28.7%	21.7%	35.6%	18.6%	10.4%	25.8%
91	24.3%	18%	30.6%	15.4%	8.41%	21.6%
92	20.2%	14.5%	25.7%	12.6%	6.79%	17.7%
93	16.4%	11.4%	21.1%	10%	5.28%	14.2%
94	12.9%	8.74%	16.9%	7.68%	3.93%	11%
95	9.89%	6.48%	13.1%	5.75%	2.85%	8.27%
96	7.35%	4.66%	9.89%	4.19%	2.04%	6.06%
97	5.28%	3.24%	7.19%	2.95%	1.42%	4.28%
98	3.66%	2.17%	5.04%	2.01%	0.95%	2.92%
99	2.44%	1.4%	3.4%	1.32%	0.62%	1.92%
100	1.57%	0.87%	2.2%	0.83%	0.39%	1.21%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.26% in the birth year in Germany and 0.29% in Lithuania, 0.04% vs 0.13% at age 30, 0.69% vs 1.2% at 60, and 4.06% vs 5.41% at 80.

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

Table

Age	Probability of dying
	Germany			Lithuania
	Average	Male	Female	Average	Male	Female
0	0.26%	0.28%	0.24%	0.29%	0.3%	0.28%
1	0.03%	0.03%	0.02%	0.03%	0.02%	0.03%
2	0.01%	0.01%	0.009%	0.01%	0.01%	0.01%
3	0.009%	0.009%	0.008%	0.01%	0.01%	0.01%
4	0.008%	0.009%	0.008%	0.01%	0.01%	0.01%
5	0.008%	0.008%	0.007%	0.009%	0.009%	0.01%
6	0.007%	0.008%	0.006%	0.01%	0.009%	0.01%
7	0.006%	0.007%	0.005%	0.01%	0.01%	0.01%
8	0.006%	0.007%	0.005%	0.01%	0.01%	0.01%
9	0.006%	0.006%	0.005%	0.01%	0.009%	0.01%
10	0.006%	0.006%	0.005%	0.01%	0.01%	0.01%
11	0.006%	0.006%	0.006%	0.01%	0.02%	0.008%
12	0.007%	0.007%	0.007%	0.01%	0.02%	0.01%
13	0.008%	0.008%	0.008%	0.02%	0.02%	0.02%
14	0.009%	0.01%	0.009%	0.03%	0.03%	0.02%
15	0.01%	0.01%	0.01%	0.03%	0.04%	0.02%
16	0.02%	0.02%	0.01%	0.03%	0.05%	0.02%
17	0.02%	0.03%	0.01%	0.03%	0.04%	0.02%
18	0.02%	0.03%	0.01%	0.05%	0.07%	0.03%
19	0.03%	0.03%	0.02%	0.06%	0.09%	0.03%
20	0.03%	0.04%	0.02%	0.06%	0.08%	0.03%
21	0.03%	0.04%	0.01%	0.06%	0.08%	0.03%
22	0.03%	0.04%	0.01%	0.06%	0.09%	0.03%
23	0.03%	0.04%	0.02%	0.07%	0.1%	0.03%
24	0.03%	0.04%	0.02%	0.07%	0.11%	0.03%
25	0.03%	0.04%	0.02%	0.08%	0.12%	0.03%
26	0.03%	0.04%	0.02%	0.08%	0.13%	0.04%
27	0.03%	0.04%	0.02%	0.09%	0.14%	0.04%
28	0.03%	0.04%	0.02%	0.11%	0.18%	0.04%
29	0.04%	0.05%	0.02%	0.13%	0.2%	0.05%
30	0.04%	0.05%	0.03%	0.13%	0.19%	0.06%
31	0.04%	0.05%	0.03%	0.13%	0.2%	0.06%
32	0.05%	0.06%	0.03%	0.15%	0.23%	0.06%
33	0.05%	0.06%	0.03%	0.18%	0.26%	0.09%
34	0.05%	0.07%	0.04%	0.19%	0.28%	0.09%
35	0.06%	0.07%	0.04%	0.2%	0.29%	0.09%
36	0.06%	0.08%	0.04%	0.21%	0.3%	0.1%
37	0.07%	0.08%	0.05%	0.23%	0.33%	0.11%
38	0.07%	0.09%	0.05%	0.27%	0.4%	0.12%
39	0.08%	0.1%	0.06%	0.28%	0.41%	0.13%
40	0.09%	0.11%	0.06%	0.28%	0.42%	0.13%
41	0.09%	0.12%	0.07%	0.31%	0.47%	0.13%
42	0.1%	0.13%	0.07%	0.33%	0.49%	0.16%
43	0.11%	0.14%	0.08%	0.35%	0.5%	0.19%
44	0.12%	0.16%	0.09%	0.38%	0.54%	0.2%
45	0.14%	0.17%	0.1%	0.41%	0.6%	0.2%
46	0.15%	0.19%	0.11%	0.44%	0.64%	0.23%
47	0.17%	0.21%	0.12%	0.48%	0.69%	0.25%
48	0.19%	0.24%	0.14%	0.51%	0.74%	0.27%
49	0.21%	0.27%	0.16%	0.53%	0.78%	0.27%
50	0.24%	0.3%	0.17%	0.56%	0.83%	0.29%
51	0.26%	0.33%	0.19%	0.61%	0.88%	0.34%
52	0.29%	0.38%	0.21%	0.65%	0.97%	0.34%
53	0.33%	0.43%	0.24%	0.7%	1.06%	0.36%
54	0.37%	0.48%	0.26%	0.78%	1.16%	0.42%
55	0.42%	0.54%	0.29%	0.83%	1.26%	0.42%
56	0.46%	0.6%	0.33%	0.86%	1.34%	0.42%
57	0.51%	0.66%	0.36%	0.91%	1.39%	0.47%
58	0.57%	0.74%	0.39%	0.98%	1.48%	0.54%
59	0.62%	0.81%	0.44%	1.09%	1.69%	0.58%
60	0.69%	0.89%	0.48%	1.2%	1.86%	0.63%
61	0.75%	0.98%	0.52%	1.31%	2.01%	0.71%
62	0.82%	1.08%	0.57%	1.41%	2.17%	0.78%
63	0.9%	1.19%	0.62%	1.52%	2.36%	0.83%
64	0.98%	1.29%	0.67%	1.64%	2.58%	0.9%
65	1.05%	1.39%	0.73%	1.79%	2.81%	1.01%
66	1.14%	1.49%	0.79%	1.92%	3.03%	1.11%
67	1.23%	1.61%	0.86%	2.01%	3.19%	1.16%
68	1.32%	1.73%	0.94%	2.11%	3.33%	1.26%
69	1.42%	1.86%	1.02%	2.23%	3.51%	1.37%
70	1.54%	2.01%	1.12%	2.35%	3.77%	1.44%
71	1.67%	2.17%	1.23%	2.54%	4.02%	1.6%
72	1.8%	2.34%	1.34%	2.74%	4.26%	1.82%
73	1.95%	2.53%	1.45%	2.93%	4.53%	1.99%
74	2.12%	2.74%	1.59%	3.14%	4.82%	2.19%
75	2.31%	2.99%	1.74%	3.4%	5.16%	2.45%
76	2.53%	3.26%	1.92%	3.69%	5.61%	2.7%
77	2.8%	3.59%	2.14%	3.98%	6%	2.98%
78	3.13%	3.98%	2.44%	4.3%	6.23%	3.39%
79	3.56%	4.47%	2.82%	4.77%	6.65%	3.91%
80	4.06%	5.05%	3.29%	5.41%	7.44%	4.51%
81	4.65%	5.72%	3.83%	6.01%	8.11%	5.12%
82	5.32%	6.49%	4.45%	6.69%	8.81%	5.82%
83	6.11%	7.38%	5.17%	7.54%	9.67%	6.7%
84	7.01%	8.39%	6.01%	8.47%	10.4%	7.75%
85	8.04%	9.54%	6.99%	9.6%	11.4%	8.93%
86	9.19%	10.8%	8.11%	11%	13.1%	10.2%
87	10.5%	12.2%	9.36%	12.3%	14.4%	11.6%
88	11.9%	13.7%	10.7%	13.5%	15.1%	13%
89	13.4%	15.4%	12.3%	15.2%	17.3%	14.5%
90	15.1%	17.1%	14%	16.8%	19.1%	16.1%
91	17%	19.1%	15.9%	18.3%	19.3%	18%
92	19%	21.3%	17.9%	20.7%	22.1%	20.2%
93	21.1%	23.6%	20%	23.2%	25.7%	22.5%
94	23.3%	25.9%	22.2%	25.2%	27.3%	24.6%
95	25.7%	28.2%	24.7%	27.1%	28.5%	26.8%
96	28.2%	30.5%	27.3%	29.6%	30.6%	29.3%
97	30.7%	32.9%	30%	32%	32.8%	31.8%
98	33.3%	35.4%	32.6%	34.4%	35%	34.3%
99	35.8%	37.9%	35.2%	36.9%	37.2%	36.8%
100	38.4%	40.3%	37.9%	39.3%	39.3%	39.3%

Death rate by age in Germany compared to Lithuania

In Germany, the most common age of death is 88, compared to 86 in Lithuania. The median age of death is 85.1 in Germany and 80.4 in Lithuania — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Germany			Lithuania
	Total	Male	Female	Total	Male	Female
0	263.3	281	244.7	291.9	305	278.5
1	27.4	29.9	24.7	25.4	24.3	26.4
2	10.1	11	9.22	13.2	14.4	11.8
3	8.73	9.26	8.17	13.8	14.4	13.1
4	8.4	8.73	8.05	11.3	12.2	10.4
5	7.69	8.09	7.28	9.42	9.23	9.62
6	6.74	7.49	5.95	9.63	8.66	10.7
7	5.96	6.94	4.91	11.3	12	10.7
8	5.54	6.48	4.56	12	13.2	10.7
9	5.49	6.23	4.71	10.3	9.11	11.5
10	5.74	6.23	5.22	10.5	10.8	10.2
11	6.08	6.17	5.99	12.2	15.7	8.41
12	6.7	6.53	6.87	14.3	18.6	9.7
13	7.7	7.78	7.61	19.1	21.8	16.4
14	9.35	10.1	8.53	25	28.9	20.8
15	12	13.8	10.2	29.1	40.8	16.8
16	15.5	18.8	12.1	30.9	45.9	15.2
17	19.5	25.1	13.6	34.2	43.8	24.1
18	22.9	30.7	14.5	50.7	70.8	29.8
19	25.3	34.6	15.4	62.7	94.3	30
20	26.1	36	15.5	56.2	83.3	28.3
21	25.6	36	14.7	56.7	82.6	30
22	25.7	36.2	14.6	62.3	92.2	31.2
23	26.2	36.7	15	64.5	99.2	28.2
24	26.9	37.6	15.2	67.9	107	27.3
25	27.6	38.6	15.7	77	118.5	33.7
26	28.6	39.3	16.8	82.1	123.9	38.2
27	30	40.3	18.5	90.6	138.4	39.5
28	32.1	42.4	20.8	109.5	173.6	40.2
29	34.9	45.3	23.4	123.7	194.9	46.9
30	38.5	49.5	26.4	123.6	182.3	59.6
31	42	54	28.8	130.3	194.6	59.1
32	44.7	58.3	30	148.5	225.2	62.9
33	47.6	61.9	32.2	172.2	250.4	84.7
34	51	65.8	35.2	186.8	269.6	92.7
35	55	71.1	37.8	194	281.1	93.1
36	59.4	77	40.6	201.3	287.8	100.8
37	64.7	83.1	44.9	224.5	322	110.3
38	70.3	89.5	49.8	262.3	387	115.9
39	76.9	97.9	54.6	271.3	396	125
40	84.2	107.7	59.5	275.1	398	130.8
41	91.5	117.1	64.6	301	446	132.1
42	99.4	126.7	71	320	461	155.8
43	108.4	137.1	78.7	336	467	183.2
44	120.3	152.3	87.5	361	507	192
45	134.2	170.5	97.3	391	555	199.3
46	149.1	188.7	108.9	417	589	222.4
47	165.7	208.4	122.3	448	630	244.5
48	185.3	232.3	137.5	475	674	256.5
49	207	259.3	153.8	493	708	260
50	229.5	287.6	170.4	518	741	280.7
51	254.5	320	188	560	787	324
52	284.9	360	208.4	596	853	327
53	320	407	231.5	639	928	338
54	358	456	256.9	702	1,001	394
55	398	508	285.7	742	1,077	398
56	441	563	316	766	1,132	394
57	487	623	346	800	1,155	445
58	535	687	378	857	1,218	506
59	587	753	416	942	1,363	535
60	642	821	457	1,028	1,481	582
61	699	895	495	1,106	1,569	648
62	757	972	534	1,177	1,655	711
63	821	1,055	579	1,248	1,765	754
64	884	1,135	627	1,330	1,887	809
65	943	1,205	676	1,429	2,002	900
66	1,007	1,280	730	1,507	2,091	975
67	1,075	1,357	788	1,542	2,140	1,004
68	1,142	1,432	848	1,590	2,161	1,081
69	1,217	1,514	916	1,642	2,203	1,159
70	1,300	1,607	995	1,696	2,284	1,202
71	1,389	1,705	1,078	1,785	2,341	1,322
72	1,471	1,797	1,157	1,881	2,380	1,473
73	1,560	1,893	1,240	1,953	2,423	1,589
74	1,662	2,004	1,335	2,030	2,466	1,712
75	1,777	2,125	1,442	2,134	2,512	1,873
76	1,900	2,250	1,561	2,234	2,586	2,009
77	2,048	2,391	1,710	2,321	2,611	2,161
78	2,230	2,560	1,904	2,410	2,551	2,381
79	2,452	2,760	2,150	2,559	2,550	2,657
80	2,702	2,979	2,436	2,761	2,665	2,945
81	2,964	3,202	2,740	2,903	2,691	3,191
82	3,238	3,424	3,062	3,036	2,683	3,441
83	3,517	3,640	3,402	3,194	2,688	3,733
84	3,788	3,836	3,753	3,319	2,605	4,028
85	4,039	3,995	4,101	3,442	2,562	4,282
86	4,248	4,095	4,424	3,561	2,606	4,462
87	4,390	4,114	4,689	3,556	2,501	4,539
88	4,458	4,061	4,878	3,420	2,242	4,500
89	4,447	3,930	4,984	3,315	2,179	4,361
90	4,341	3,710	4,988	3,119	1,989	4,148
91	4,141	3,427	4,868	2,822	1,627	3,887
92	3,843	3,091	4,602	2,605	1,503	3,588
93	3,456	2,699	4,218	2,322	1,356	3,186
94	3,012	2,264	3,756	1,933	1,074	2,695
95	2,537	1,824	3,236	1,559	812	2,213
96	2,070	1,421	2,698	1,240	624	1,777
97	1,623	1,066	2,155	945	465	1,362
98	1,217	768	1,642	690	333	1,000
99	874	530	1,197	485	230.3	706
100	411	149.7	645	174.6	56.5	274.1

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 Germany and Lithuania 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
• Germany vs Lithuania: Profiles in Numbers

By topic vs comparisons:

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