Life Expectancy in Lithuania vs Peru (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Peru

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Peru
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.8	102.4	103
99	101.1	100.9	101.1	102	101.6	102.2
98	100.2	100.1	100.2	101.2	100.7	101.3
97	99.3	99.2	99.3	100.4	99.9	100.6
96	98.5	98.4	98.5	99.6	99	99.8
95	97.7	97.6	97.7	98.8	98.3	99.1
94	96.9	96.7	96.9	98.1	97.5	98.4
93	96.1	95.9	96.1	97.3	96.7	97.7
92	95.4	95.2	95.4	96.6	96	97
91	94.6	94.4	94.7	95.9	95.3	96.3
90	94	93.7	94	95.3	94.6	95.7
89	93.3	93	93.4	94.6	93.9	95.1
88	92.6	92.3	92.7	94	93.2	94.5
87	92	91.6	92.1	93.4	92.6	94
86	91.4	90.9	91.6	92.8	92	93.4
85	90.8	90.3	91	92.2	91.4	92.9
84	90.3	89.7	90.5	91.7	90.8	92.4
83	89.8	89.1	90	91.2	90.3	91.9
82	89.3	88.5	89.6	90.7	89.7	91.4
81	88.8	88	89.2	90.2	89.2	91
80	88.4	87.4	88.8	89.7	88.7	90.5
79	88	86.9	88.4	89.3	88.2	90.1
78	87.5	86.4	88.1	88.8	87.8	89.7
77	87.1	85.8	87.8	88.4	87.3	89.3
76	86.8	85.3	87.5	88	86.9	89
75	86.4	84.8	87.2	87.6	86.5	88.6
74	86	84.3	86.9	87.3	86.1	88.3
73	85.6	83.8	86.6	86.9	85.7	88
72	85.3	83.3	86.4	86.6	85.4	87.6
71	84.9	82.9	86.1	86.2	85	87.3
70	84.6	82.4	85.9	85.9	84.7	87.1
69	84.2	81.9	85.7	85.7	84.4	86.8
68	83.9	81.5	85.5	85.4	84.1	86.5
67	83.6	81	85.3	85.1	83.8	86.3
66	83.3	80.6	85.1	84.9	83.6	86.1
65	82.9	80.2	84.9	84.6	83.3	85.8
64	82.6	79.8	84.7	84.4	83.1	85.6
63	82.3	79.4	84.5	84.2	82.8	85.4
62	82.1	79	84.3	83.9	82.6	85.2
61	81.8	78.7	84.2	83.7	82.3	85
60	81.5	78.3	84	83.5	82.1	84.9
59	81.3	78	83.9	83.3	81.9	84.7
58	81.1	77.7	83.7	83.1	81.7	84.5
57	80.9	77.4	83.6	82.9	81.5	84.4
56	80.7	77.2	83.5	82.8	81.3	84.2
55	80.4	76.9	83.4	82.6	81.1	84.1
54	80.2	76.6	83.3	82.5	80.9	83.9
53	80.1	76.4	83.2	82.3	80.8	83.8
52	79.9	76.2	83.1	82.2	80.6	83.7
51	79.7	75.9	82.9	82	80.5	83.6
50	79.5	75.7	82.9	81.9	80.3	83.5
49	79.4	75.5	82.8	81.8	80.2	83.4
48	79.2	75.3	82.7	81.7	80.1	83.3
47	79.1	75.1	82.6	81.6	80	83.2
46	78.9	74.9	82.5	81.5	79.8	83.1
45	78.8	74.8	82.4	81.4	79.7	83
44	78.7	74.6	82.3	81.3	79.6	82.9
43	78.5	74.4	82.3	81.2	79.5	82.9
42	78.4	74.3	82.2	81.1	79.4	82.8
41	78.3	74.1	82.2	81	79.3	82.7
40	78.2	74	82.1	80.9	79.2	82.7
39	78.1	73.9	82	80.9	79.1	82.6
38	78	73.7	82	80.8	79	82.5
37	77.9	73.6	81.9	80.7	78.9	82.5
36	77.8	73.5	81.9	80.7	78.9	82.4
35	77.7	73.4	81.9	80.6	78.8	82.4
34	77.6	73.3	81.8	80.5	78.7	82.4
33	77.6	73.2	81.8	80.4	78.6	82.3
32	77.5	73.1	81.7	80.4	78.5	82.3
31	77.4	73	81.7	80.3	78.4	82.2
30	77.4	72.9	81.7	80.3	78.3	82.2
29	77.3	72.8	81.7	80.2	78.3	82.1
28	77.3	72.7	81.6	80.1	78.2	82.1
27	77.2	72.7	81.6	80.1	78.1	82.1
26	77.2	72.6	81.6	80	78	82
25	77.1	72.6	81.6	80	77.9	82
24	77.1	72.5	81.6	79.9	77.8	81.9
23	77.1	72.5	81.5	79.8	77.8	81.9
22	77	72.4	81.5	79.8	77.7	81.9
21	77	72.4	81.5	79.7	77.6	81.8
20	77	72.3	81.5	79.7	77.5	81.8
19	76.9	72.3	81.5	79.6	77.5	81.8
18	76.9	72.2	81.4	79.6	77.4	81.8
17	76.9	72.2	81.4	79.5	77.4	81.7
16	76.9	72.2	81.4	79.5	77.3	81.7
15	76.8	72.2	81.4	79.5	77.3	81.7
14	76.8	72.2	81.4	79.4	77.3	81.6
13	76.8	72.1	81.4	79.4	77.3	81.6
12	76.8	72.1	81.4	79.4	77.2	81.6
11	76.8	72.1	81.4	79.4	77.2	81.6
10	76.8	72.1	81.4	79.4	77.2	81.6
9	76.8	72.1	81.4	79.3	77.2	81.5
8	76.8	72.1	81.3	79.3	77.1	81.5
7	76.8	72.1	81.3	79.3	77.1	81.5
6	76.8	72.1	81.3	79.3	77.1	81.5
5	76.8	72.1	81.3	79.3	77.1	81.5
4	76.7	72.1	81.3	79.2	77	81.4
3	76.7	72.1	81.3	79.2	77	81.4
2	76.7	72	81.3	79.1	76.9	81.3
1	76.7	72	81.3	79.1	76.9	81.3
0	76.5	71.8	81.1	78.3	76	80.6

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 80.3 in Peru, rising to 82.9 and 84.6 at 65, and to 88.4 and 89.7 at 80 — higher than the 76.5 and 78.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Peru

Male

Female

1x

Age	Survival probability
	Lithuania			Peru
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	3.3%	1.65%	4.97%
99	1.32%	0.62%	1.92%	4.42%	2.35%	6.53%
98	2.01%	0.95%	2.92%	5.8%	3.27%	8.37%
97	2.95%	1.42%	4.28%	7.44%	4.42%	10.5%
96	4.19%	2.04%	6.06%	9.34%	5.83%	12.9%
95	5.75%	2.85%	8.27%	11.5%	7.52%	15.6%
94	7.68%	3.93%	11%	13.9%	9.49%	18.5%
93	10%	5.28%	14.2%	16.6%	11.7%	21.5%
92	12.6%	6.79%	17.7%	19.4%	14.2%	24.8%
91	15.4%	8.41%	21.6%	22.5%	16.9%	28.1%
90	18.6%	10.4%	25.8%	25.6%	19.8%	31.5%
89	21.9%	12.6%	30.1%	28.8%	22.9%	34.9%
88	25.3%	14.8%	34.6%	32.1%	26%	38.2%
87	28.8%	17.3%	39.2%	35.4%	29.3%	41.6%
86	32.4%	19.9%	43.6%	38.7%	32.6%	44.9%
85	35.8%	22.5%	47.9%	41.9%	35.9%	48%
84	39.2%	25.1%	51.9%	45.1%	39.2%	51.1%
83	42.4%	27.8%	55.7%	48.2%	42.4%	54.1%
82	45.4%	30.5%	59.1%	51.2%	45.5%	56.9%
81	48.3%	33.2%	62.3%	54.1%	48.6%	59.6%
80	51.1%	35.8%	65.3%	56.8%	51.5%	62.2%
79	53.6%	38.4%	67.9%	59.5%	54.3%	64.7%
78	56%	40.9%	70.3%	61.9%	57%	67%
77	58.3%	43.5%	72.5%	64.3%	59.5%	69.2%
76	60.6%	46.1%	74.5%	66.5%	61.9%	71.2%
75	62.7%	48.6%	76.3%	68.7%	64.2%	73.1%
74	64.7%	51.1%	78.1%	70.6%	66.4%	74.9%
73	66.7%	53.5%	79.6%	72.5%	68.5%	76.6%
72	68.6%	55.9%	81.1%	74.2%	70.4%	78.2%
71	70.4%	58.2%	82.4%	75.8%	72.1%	79.6%
70	72.1%	60.5%	83.6%	77.3%	73.7%	81%
69	73.7%	62.7%	84.8%	78.7%	75.3%	82.2%
68	75.3%	64.9%	85.9%	80%	76.7%	83.4%
67	76.8%	67%	86.9%	81.2%	78%	84.5%
66	78.3%	69.1%	87.9%	82.3%	79.2%	85.5%
65	79.8%	71.1%	88.8%	83.4%	80.4%	86.4%
64	81.1%	73%	89.6%	84.3%	81.5%	87.3%
63	82.3%	74.8%	90.3%	85.3%	82.6%	88.1%
62	83.5%	76.4%	91%	86.2%	83.6%	88.8%
61	84.6%	78%	91.7%	87%	84.5%	89.5%
60	85.7%	79.5%	92.3%	87.8%	85.4%	90.2%
59	86.6%	80.8%	92.8%	88.5%	86.2%	90.8%
58	87.5%	82.1%	93.3%	89.2%	87%	91.4%
57	88.3%	83.2%	93.7%	89.8%	87.7%	91.9%
56	89%	84.4%	94.1%	90.4%	88.4%	92.4%
55	89.8%	85.4%	94.5%	90.9%	89%	92.9%
54	90.5%	86.4%	94.9%	91.4%	89.6%	93.3%
53	91.1%	87.4%	95.3%	91.9%	90.1%	93.7%
52	91.7%	88.2%	95.6%	92.3%	90.6%	94.1%
51	92.3%	89%	95.9%	92.7%	91.1%	94.4%
50	92.8%	89.7%	96.2%	93.1%	91.5%	94.7%
49	93.3%	90.4%	96.5%	93.4%	91.9%	95%
48	93.7%	91.1%	96.7%	93.7%	92.2%	95.3%
47	94.2%	91.8%	97%	94%	92.6%	95.5%
46	94.6%	92.3%	97.2%	94.3%	92.9%	95.8%
45	95%	92.9%	97.4%	94.6%	93.2%	96%
44	95.4%	93.4%	97.6%	94.8%	93.5%	96.2%
43	95.7%	93.9%	97.8%	95%	93.7%	96.3%
42	96%	94.3%	97.9%	95.2%	94%	96.5%
41	96.3%	94.8%	98%	95.4%	94.2%	96.7%
40	96.6%	95.2%	98.2%	95.6%	94.5%	96.8%
39	96.9%	95.6%	98.3%	95.8%	94.7%	96.9%
38	97.1%	96%	98.4%	96%	94.9%	97.1%
37	97.4%	96.3%	98.5%	96.2%	95.1%	97.2%
36	97.6%	96.6%	98.6%	96.3%	95.3%	97.3%
35	97.8%	96.9%	98.7%	96.5%	95.5%	97.4%
34	97.9%	97.1%	98.8%	96.6%	95.7%	97.5%
33	98.1%	97.4%	98.9%	96.7%	95.9%	97.6%
32	98.3%	97.6%	99%	96.9%	96.1%	97.6%
31	98.4%	97.8%	99%	97%	96.3%	97.7%
30	98.5%	98%	99.1%	97.1%	96.4%	97.8%
29	98.6%	98.2%	99.1%	97.2%	96.6%	97.9%
28	98.7%	98.3%	99.2%	97.3%	96.7%	98%
27	98.8%	98.5%	99.2%	97.5%	96.9%	98%
26	98.9%	98.6%	99.2%	97.6%	97.1%	98.1%
25	99%	98.7%	99.3%	97.7%	97.2%	98.2%
24	99.1%	98.8%	99.3%	97.8%	97.4%	98.2%
23	99.1%	98.9%	99.3%	97.9%	97.5%	98.3%
22	99.2%	99%	99.4%	98%	97.6%	98.3%
21	99.2%	99.1%	99.4%	98.1%	97.8%	98.4%
20	99.3%	99.2%	99.4%	98.2%	97.9%	98.4%
19	99.4%	99.3%	99.5%	98.2%	98%	98.5%
18	99.4%	99.4%	99.5%	98.3%	98.1%	98.5%
17	99.5%	99.4%	99.5%	98.4%	98.2%	98.6%
16	99.5%	99.4%	99.5%	98.4%	98.2%	98.6%
15	99.5%	99.5%	99.5%	98.5%	98.3%	98.7%
14	99.5%	99.5%	99.6%	98.5%	98.3%	98.7%
13	99.6%	99.5%	99.6%	98.5%	98.4%	98.7%
12	99.6%	99.6%	99.6%	98.6%	98.4%	98.8%
11	99.6%	99.6%	99.6%	98.6%	98.4%	98.8%
10	99.6%	99.6%	99.6%	98.6%	98.5%	98.8%
9	99.6%	99.6%	99.6%	98.7%	98.5%	98.8%
8	99.6%	99.6%	99.6%	98.7%	98.5%	98.9%
7	99.6%	99.6%	99.6%	98.7%	98.6%	98.9%
6	99.6%	99.6%	99.7%	98.7%	98.6%	98.9%
5	99.6%	99.6%	99.7%	98.8%	98.6%	98.9%
4	99.7%	99.6%	99.7%	98.8%	98.7%	99%
3	99.7%	99.7%	99.7%	98.9%	98.8%	99%
2	99.7%	99.7%	99.7%	99%	98.8%	99.1%
1	99.7%	99.7%	99.7%	99%	98.9%	99.2%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 87.8% in Peru are expected to live past 60, 72.1% and 77.3% past 70, 51.1% and 56.8% past 80, and only 18.6% and 25.6% 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

Peru

Male

Female

1x

Age	Probability of dying
	Lithuania			Peru
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	27.1%	31.9%	25.4%
99	36.9%	37.2%	36.8%	25.5%	30%	23.8%
98	34.4%	35%	34.3%	23.7%	28%	22%
97	32%	32.8%	31.8%	22%	26.1%	20.3%
96	29.6%	30.6%	29.3%	20.4%	24.2%	18.6%
95	27.1%	28.5%	26.8%	18.8%	22.4%	17.1%
94	25.2%	27.3%	24.6%	17.4%	20.7%	15.7%
93	23.2%	25.7%	22.5%	16%	19.1%	14.3%
92	20.7%	22.1%	20.2%	14.7%	17.5%	13%
91	18.3%	19.3%	18%	13.4%	16%	11.8%
90	16.8%	19.1%	16.1%	12.3%	14.6%	10.7%
89	15.2%	17.3%	14.5%	11.2%	13.4%	9.75%
88	13.5%	15.1%	13%	10.2%	12.2%	8.84%
87	12.3%	14.4%	11.6%	9.33%	11.1%	8.02%
86	11%	13.1%	10.2%	8.5%	10.1%	7.28%
85	9.6%	11.4%	8.93%	7.74%	9.21%	6.61%
84	8.47%	10.4%	7.75%	7.05%	8.36%	6.02%
83	7.54%	9.67%	6.7%	6.42%	7.59%	5.48%
82	6.69%	8.81%	5.82%	5.84%	6.88%	5%
81	6.01%	8.11%	5.12%	5.32%	6.24%	4.56%
80	5.41%	7.44%	4.51%	4.84%	5.67%	4.16%
79	4.77%	6.65%	3.91%	4.41%	5.16%	3.79%
78	4.3%	6.23%	3.39%	4.03%	4.7%	3.46%
77	3.98%	6%	2.98%	3.68%	4.29%	3.15%
76	3.69%	5.61%	2.7%	3.36%	3.92%	2.88%
75	3.4%	5.16%	2.45%	3.07%	3.58%	2.62%
74	3.14%	4.82%	2.19%	2.8%	3.27%	2.4%
73	2.93%	4.53%	1.99%	2.56%	2.97%	2.19%
72	2.74%	4.26%	1.82%	2.33%	2.7%	2%
71	2.54%	4.02%	1.6%	2.12%	2.44%	1.82%
70	2.35%	3.77%	1.44%	1.93%	2.21%	1.67%
69	2.23%	3.51%	1.37%	1.76%	2.01%	1.52%
68	2.11%	3.33%	1.26%	1.61%	1.83%	1.39%
67	2.01%	3.19%	1.16%	1.47%	1.68%	1.28%
66	1.92%	3.03%	1.11%	1.36%	1.56%	1.17%
65	1.79%	2.81%	1.01%	1.26%	1.46%	1.08%
64	1.64%	2.58%	0.9%	1.18%	1.37%	0.99%
63	1.52%	2.36%	0.83%	1.1%	1.28%	0.92%
62	1.41%	2.17%	0.78%	1.03%	1.2%	0.85%
61	1.31%	2.01%	0.71%	0.96%	1.12%	0.79%
60	1.2%	1.86%	0.63%	0.89%	1.04%	0.74%
59	1.09%	1.69%	0.58%	0.82%	0.97%	0.68%
58	0.98%	1.48%	0.54%	0.76%	0.89%	0.63%
57	0.91%	1.39%	0.47%	0.7%	0.82%	0.58%
56	0.86%	1.34%	0.42%	0.65%	0.75%	0.54%
55	0.83%	1.26%	0.42%	0.59%	0.69%	0.49%
54	0.78%	1.16%	0.42%	0.55%	0.64%	0.45%
53	0.7%	1.06%	0.36%	0.5%	0.59%	0.42%
52	0.65%	0.97%	0.34%	0.46%	0.54%	0.39%
51	0.61%	0.88%	0.34%	0.43%	0.5%	0.36%
50	0.56%	0.83%	0.29%	0.39%	0.46%	0.33%
49	0.53%	0.78%	0.27%	0.36%	0.42%	0.31%
48	0.51%	0.74%	0.27%	0.34%	0.39%	0.28%
47	0.48%	0.69%	0.25%	0.31%	0.36%	0.26%
46	0.44%	0.64%	0.23%	0.29%	0.34%	0.24%
45	0.41%	0.6%	0.2%	0.27%	0.32%	0.22%
44	0.38%	0.54%	0.2%	0.25%	0.3%	0.2%
43	0.35%	0.5%	0.19%	0.24%	0.29%	0.19%
42	0.33%	0.49%	0.16%	0.22%	0.28%	0.17%
41	0.31%	0.47%	0.13%	0.21%	0.26%	0.16%
40	0.28%	0.42%	0.13%	0.2%	0.25%	0.15%
39	0.28%	0.41%	0.13%	0.19%	0.24%	0.13%
38	0.27%	0.4%	0.12%	0.18%	0.23%	0.12%
37	0.23%	0.33%	0.11%	0.17%	0.22%	0.12%
36	0.21%	0.3%	0.1%	0.16%	0.21%	0.11%
35	0.2%	0.29%	0.09%	0.15%	0.2%	0.1%
34	0.19%	0.28%	0.09%	0.14%	0.2%	0.1%
33	0.18%	0.26%	0.09%	0.14%	0.19%	0.09%
32	0.15%	0.23%	0.06%	0.13%	0.18%	0.09%
31	0.13%	0.2%	0.06%	0.13%	0.18%	0.08%
30	0.13%	0.19%	0.06%	0.13%	0.17%	0.08%
29	0.13%	0.2%	0.05%	0.12%	0.17%	0.08%
28	0.11%	0.18%	0.04%	0.12%	0.17%	0.08%
27	0.09%	0.14%	0.04%	0.12%	0.16%	0.07%
26	0.08%	0.13%	0.04%	0.11%	0.16%	0.07%
25	0.08%	0.12%	0.03%	0.11%	0.16%	0.06%
24	0.07%	0.11%	0.03%	0.11%	0.15%	0.06%
23	0.07%	0.1%	0.03%	0.1%	0.15%	0.06%
22	0.06%	0.09%	0.03%	0.1%	0.14%	0.05%
21	0.06%	0.08%	0.03%	0.09%	0.13%	0.05%
20	0.06%	0.08%	0.03%	0.09%	0.12%	0.05%
19	0.06%	0.09%	0.03%	0.08%	0.11%	0.05%
18	0.05%	0.07%	0.03%	0.07%	0.1%	0.05%
17	0.03%	0.04%	0.02%	0.06%	0.08%	0.05%
16	0.03%	0.05%	0.02%	0.06%	0.07%	0.04%
15	0.03%	0.04%	0.02%	0.05%	0.06%	0.04%
14	0.03%	0.03%	0.02%	0.04%	0.05%	0.04%
13	0.02%	0.02%	0.02%	0.03%	0.04%	0.03%
12	0.01%	0.02%	0.01%	0.03%	0.03%	0.03%
11	0.01%	0.02%	0.008%	0.03%	0.03%	0.02%
10	0.01%	0.01%	0.01%	0.03%	0.03%	0.02%
9	0.01%	0.009%	0.01%	0.03%	0.03%	0.02%
8	0.01%	0.01%	0.01%	0.03%	0.03%	0.02%
7	0.01%	0.01%	0.01%	0.03%	0.03%	0.03%
6	0.01%	0.009%	0.01%	0.03%	0.04%	0.03%
5	0.009%	0.009%	0.01%	0.04%	0.04%	0.03%
4	0.01%	0.01%	0.01%	0.05%	0.05%	0.04%
3	0.01%	0.01%	0.01%	0.06%	0.06%	0.05%
2	0.01%	0.01%	0.01%	0.07%	0.07%	0.07%
1	0.03%	0.02%	0.03%	0.09%	0.09%	0.09%
0	0.29%	0.3%	0.28%	0.96%	1.09%	0.82%

This chart displays the probability of dying at any given age in Lithuania compared to Peru, as mortality rates vary throughout a lifetime.

The annual chance of dying is 0.29% in the birth year in Lithuania and 0.96% in Peru, 0.13% vs 0.13% at age 30, 1.2% vs 0.89% at 60, and 5.41% vs 4.84% at 80.

Death rate by age in Lithuania vs Peru

Chart Table

Lithuania

Male

Female

Peru

Male

Female

1x

Age	Death rate
	Lithuania			Peru
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	861	438	1,286
99	485	230.3	706	1,128	706	1,555
98	690	333	1,000	1,377	916	1,843
97	945	465	1,362	1,637	1,153	2,129
96	1,240	624	1,777	1,903	1,412	2,404
95	1,559	812	2,213	2,168	1,686	2,662
94	1,933	1,074	2,695	2,426	1,968	2,897
93	2,322	1,356	3,186	2,657	2,239	3,086
92	2,605	1,503	3,588	2,851	2,487	3,223
91	2,822	1,627	3,887	3,008	2,704	3,316
90	3,119	1,989	4,148	3,136	2,892	3,381
89	3,315	2,179	4,361	3,228	3,053	3,400
88	3,420	2,242	4,500	3,283	3,179	3,380
87	3,556	2,501	4,539	3,303	3,261	3,336
86	3,561	2,606	4,462	3,290	3,303	3,266
85	3,442	2,562	4,282	3,247	3,307	3,177
84	3,319	2,605	4,028	3,181	3,277	3,076
83	3,194	2,688	3,733	3,094	3,218	2,964
82	3,036	2,683	3,441	2,991	3,134	2,844
81	2,903	2,691	3,191	2,875	3,032	2,718
80	2,761	2,665	2,945	2,751	2,918	2,586
79	2,559	2,550	2,657	2,624	2,801	2,451
78	2,410	2,551	2,381	2,495	2,679	2,315
77	2,321	2,611	2,161	2,365	2,554	2,181
76	2,234	2,586	2,009	2,235	2,427	2,049
75	2,134	2,512	1,873	2,106	2,299	1,920
74	2,030	2,466	1,712	1,981	2,170	1,797
73	1,953	2,423	1,589	1,855	2,036	1,678
72	1,881	2,380	1,473	1,730	1,900	1,563
71	1,785	2,341	1,322	1,607	1,763	1,453
70	1,696	2,284	1,202	1,489	1,631	1,349
69	1,642	2,203	1,159	1,382	1,511	1,253
68	1,590	2,161	1,081	1,284	1,405	1,163
67	1,542	2,140	1,004	1,197	1,314	1,080
66	1,507	2,091	975	1,121	1,237	1,002
65	1,429	2,002	900	1,053	1,172	932
64	1,330	1,887	809	993	1,115	868
63	1,248	1,765	754	938	1,061	810
62	1,177	1,655	711	885	1,006	758
61	1,106	1,569	648	832	950	709
60	1,028	1,481	582	781	892	663
59	942	1,363	535	730	833	620
58	857	1,218	506	679	775	577
57	800	1,155	445	630	720	535
56	766	1,132	394	583	667	495
55	742	1,077	398	540	618	457
54	702	1,001	394	499	571	422
53	639	928	338	461	528	391
52	596	853	327	427	488	362
51	560	787	324	395	451	337
50	518	741	280.7	366	417	313
49	493	708	260	340	386	291.4
48	475	674	256.5	316	359	270.6
47	448	630	244.5	293.9	336	250.6
46	417	589	222.4	274.1	316	231.3
45	391	555	199.3	256.3	299.3	212.8
44	361	507	192	240.1	284.6	195.3
43	336	467	183.2	225.7	271.7	179.3
42	320	461	155.8	212.7	260.3	165
41	301	446	132.1	201	249.7	152.2
40	275.1	398	130.8	190.3	239.8	140.9
39	271.3	396	125	180.2	230.1	130.5
38	262.3	387	115.9	170.8	220.7	121.3
37	224.5	322	110.3	162	211.6	112.9
36	201.3	287.8	100.8	153.8	202.9	105.4
35	194	281.1	93.1	146.4	194.8	98.9
34	186.8	269.6	92.7	139.8	187.2	93.4
33	172.2	250.4	84.7	134.1	180.5	88.9
32	148.5	225.2	62.9	129.5	174.8	85.4
31	130.3	194.6	59.1	125.8	170	82.6
30	123.6	182.3	59.6	122.7	166.1	80.1
29	123.7	194.9	46.9	119.9	162.9	77.5
28	109.5	173.6	40.2	117	160.1	74.3
27	90.6	138.4	39.5	114	157.5	70.6
26	82.1	123.9	38.2	110.7	154.8	66.4
25	77	118.5	33.7	107.3	151.9	62.2
24	67.9	107	27.3	103.7	148.2	58.5
23	64.5	99.2	28.2	100.1	143.4	55.7
22	62.3	92.2	31.2	96.1	137.1	53.9
21	56.7	82.6	30	91.6	129	53.1
20	56.2	83.3	28.3	86.3	118.9	52.7
19	62.7	94.3	30	80	106.9	52.1
18	50.7	70.8	29.8	72.4	93.3	50.7
17	34.2	43.8	24.1	63.9	79.3	48
16	30.9	45.9	15.2	55.1	65.9	44
15	29.1	40.8	16.8	47	54.3	39.3
14	25	28.9	20.8	39.9	45.1	34.6
13	19.1	21.8	16.4	34.4	38.3	30.4
12	14.3	18.6	9.7	30.4	33.7	27
11	12.2	15.7	8.41	27.8	30.9	24.6
10	10.5	10.8	10.2	26.7	29.9	23.3
9	10.3	9.11	11.5	26.7	30.2	23
8	12	13.2	10.7	27.7	31.7	23.5
7	11.3	12	10.7	29.8	34.4	25.2
6	9.63	8.66	10.7	33.5	38.4	28.3
5	9.42	9.23	9.62	38.9	44.1	33.5
4	11.3	12.2	10.4	46.4	51.5	41
3	13.8	14.4	13.1	56.3	61	51.4
2	13.2	14.4	11.8	69.4	73.1	65.5
1	25.4	24.3	26.4	86.7	88.7	84.5
0	291.9	305	278.5	955	1,086	819

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 87 in Peru. The median age of death is 80.4 in Lithuania and 82.4 in Peru, 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 Peru more than their death rates.

Life expectancy in other countries

+ -

1x