Life Expectancy in Germany vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Lithuania

Male

Female

1x

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

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Germany			Lithuania
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.83%	0.39%	1.21%
99	2.44%	1.4%	3.4%	1.32%	0.62%	1.92%
98	3.66%	2.17%	5.04%	2.01%	0.95%	2.92%
97	5.28%	3.24%	7.19%	2.95%	1.42%	4.28%
96	7.35%	4.66%	9.89%	4.19%	2.04%	6.06%
95	9.89%	6.48%	13.1%	5.75%	2.85%	8.27%
94	12.9%	8.74%	16.9%	7.68%	3.93%	11%
93	16.4%	11.4%	21.1%	10%	5.28%	14.2%
92	20.2%	14.5%	25.7%	12.6%	6.79%	17.7%
91	24.3%	18%	30.6%	15.4%	8.41%	21.6%
90	28.7%	21.7%	35.6%	18.6%	10.4%	25.8%
89	33.1%	25.6%	40.5%	21.9%	12.6%	30.1%
88	37.6%	29.7%	45.4%	25.3%	14.8%	34.6%
87	42%	33.8%	50.1%	28.8%	17.3%	39.2%
86	46.2%	37.9%	54.5%	32.4%	19.9%	43.6%
85	50.3%	41.9%	58.6%	35.8%	22.5%	47.9%
84	54%	45.7%	62.4%	39.2%	25.1%	51.9%
83	57.6%	49.3%	65.8%	42.4%	27.8%	55.7%
82	60.8%	52.8%	68.9%	45.4%	30.5%	59.1%
81	63.8%	56%	71.6%	48.3%	33.2%	62.3%
80	66.5%	58.9%	74%	51.1%	35.8%	65.3%
79	68.9%	61.7%	76.2%	53.6%	38.4%	67.9%
78	71.2%	64.3%	78.1%	56%	40.9%	70.3%
77	73.2%	66.7%	79.8%	58.3%	43.5%	72.5%
76	75.1%	68.9%	81.4%	60.6%	46.1%	74.5%
75	76.9%	71%	82.8%	62.7%	48.6%	76.3%
74	78.5%	73%	84.1%	64.7%	51.1%	78.1%
73	80.1%	74.9%	85.4%	66.7%	53.5%	79.6%
72	81.6%	76.7%	86.5%	68.6%	55.9%	81.1%
71	83%	78.4%	87.6%	70.4%	58.2%	82.4%
70	84.3%	80%	88.6%	72.1%	60.5%	83.6%
69	85.5%	81.6%	89.5%	73.7%	62.7%	84.8%
68	86.6%	83%	90.4%	75.3%	64.9%	85.9%
67	87.7%	84.3%	91.2%	76.8%	67%	86.9%
66	88.7%	85.6%	91.9%	78.3%	69.1%	87.9%
65	89.6%	86.8%	92.6%	79.8%	71.1%	88.8%
64	90.5%	88%	93.2%	81.1%	73%	89.6%
63	91.3%	89%	93.8%	82.3%	74.8%	90.3%
62	92.1%	90%	94.3%	83.5%	76.4%	91%
61	92.8%	90.9%	94.8%	84.6%	78%	91.7%
60	93.4%	91.7%	95.2%	85.7%	79.5%	92.3%
59	94%	92.5%	95.7%	86.6%	80.8%	92.8%
58	94.6%	93.1%	96%	87.5%	82.1%	93.3%
57	95.1%	93.8%	96.4%	88.3%	83.2%	93.7%
56	95.5%	94.3%	96.7%	89%	84.4%	94.1%
55	95.9%	94.8%	97%	89.8%	85.4%	94.5%
54	96.3%	95.3%	97.2%	90.5%	86.4%	94.9%
53	96.6%	95.7%	97.5%	91.1%	87.4%	95.3%
52	96.9%	96.1%	97.7%	91.7%	88.2%	95.6%
51	97.1%	96.4%	97.9%	92.3%	89%	95.9%
50	97.3%	96.7%	98%	92.8%	89.7%	96.2%
49	97.5%	96.9%	98.2%	93.3%	90.4%	96.5%
48	97.7%	97.2%	98.3%	93.7%	91.1%	96.7%
47	97.9%	97.4%	98.5%	94.2%	91.8%	97%
46	98%	97.6%	98.6%	94.6%	92.3%	97.2%
45	98.2%	97.7%	98.7%	95%	92.9%	97.4%
44	98.3%	97.9%	98.8%	95.4%	93.4%	97.6%
43	98.4%	98%	98.8%	95.7%	93.9%	97.8%
42	98.5%	98.1%	98.9%	96%	94.3%	97.9%
41	98.6%	98.3%	99%	96.3%	94.8%	98%
40	98.7%	98.4%	99%	96.6%	95.2%	98.2%
39	98.8%	98.5%	99.1%	96.9%	95.6%	98.3%
38	98.8%	98.6%	99.1%	97.1%	96%	98.4%
37	98.9%	98.6%	99.2%	97.4%	96.3%	98.5%
36	99%	98.7%	99.2%	97.6%	96.6%	98.6%
35	99%	98.8%	99.3%	97.8%	96.9%	98.7%
34	99.1%	98.9%	99.3%	97.9%	97.1%	98.8%
33	99.1%	98.9%	99.3%	98.1%	97.4%	98.9%
32	99.2%	99%	99.4%	98.3%	97.6%	99%
31	99.2%	99%	99.4%	98.4%	97.8%	99%
30	99.2%	99.1%	99.4%	98.5%	98%	99.1%
29	99.3%	99.1%	99.4%	98.6%	98.2%	99.1%
28	99.3%	99.2%	99.5%	98.7%	98.3%	99.2%
27	99.3%	99.2%	99.5%	98.8%	98.5%	99.2%
26	99.4%	99.2%	99.5%	98.9%	98.6%	99.2%
25	99.4%	99.3%	99.5%	99%	98.7%	99.3%
24	99.4%	99.3%	99.5%	99.1%	98.8%	99.3%
23	99.4%	99.4%	99.5%	99.1%	98.9%	99.3%
22	99.5%	99.4%	99.5%	99.2%	99%	99.4%
21	99.5%	99.4%	99.6%	99.2%	99.1%	99.4%
20	99.5%	99.5%	99.6%	99.3%	99.2%	99.4%
19	99.5%	99.5%	99.6%	99.4%	99.3%	99.5%
18	99.6%	99.5%	99.6%	99.4%	99.4%	99.5%
17	99.6%	99.6%	99.6%	99.5%	99.4%	99.5%
16	99.6%	99.6%	99.6%	99.5%	99.4%	99.5%
15	99.6%	99.6%	99.6%	99.5%	99.5%	99.5%
14	99.6%	99.6%	99.7%	99.5%	99.5%	99.6%
13	99.6%	99.6%	99.7%	99.6%	99.5%	99.6%
12	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
11	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
10	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%
8	99.7%	99.6%	99.7%	99.6%	99.6%	99.6%
7	99.7%	99.6%	99.7%	99.6%	99.6%	99.6%
6	99.7%	99.7%	99.7%	99.6%	99.6%	99.7%
5	99.7%	99.7%	99.7%	99.6%	99.6%	99.7%
4	99.7%	99.7%	99.7%	99.7%	99.6%	99.7%
3	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%
1	99.7%	99.7%	99.8%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 85.7% in Lithuania are expected to live past 60, 84.3% and 72.1% past 70, 66.5% and 51.1% past 80, and only 28.7% 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

Germany

Male

Female

Lithuania

Male

Female

1x

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

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

Death rate by age in Germany vs Lithuania

Chart Table

Germany

Male

Female

Lithuania

Male

Female

1x

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

Life expectancy in other countries

+ -

1x