Life Expectancy in Lithuania vs Portugal (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Portugal

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Portugal
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.2	102.1	102.3
99	101.1	100.9	101.1	101.4	101.2	101.4
98	100.2	100.1	100.2	100.6	100.4	100.6
97	99.3	99.2	99.3	99.7	99.5	99.8
96	98.5	98.4	98.5	99	98.7	99
95	97.7	97.6	97.7	98.2	97.9	98.3
94	96.9	96.7	96.9	97.4	97.1	97.6
93	96.1	95.9	96.1	96.7	96.4	96.9
92	95.4	95.2	95.4	96	95.6	96.2
91	94.6	94.4	94.7	95.3	94.9	95.5
90	94	93.7	94	94.7	94.2	94.9
89	93.3	93	93.4	94.1	93.6	94.3
88	92.6	92.3	92.7	93.5	92.9	93.8
87	92	91.6	92.1	92.9	92.3	93.2
86	91.4	90.9	91.6	92.4	91.7	92.7
85	90.8	90.3	91	91.9	91.2	92.3
84	90.3	89.7	90.5	91.4	90.7	91.8
83	89.8	89.1	90	90.9	90.2	91.4
82	89.3	88.5	89.6	90.5	89.7	91.1
81	88.8	88	89.2	90.1	89.2	90.7
80	88.4	87.4	88.8	89.7	88.8	90.4
79	88	86.9	88.4	89.4	88.4	90.1
78	87.5	86.4	88.1	89.1	88	89.8
77	87.1	85.8	87.8	88.8	87.7	89.6
76	86.8	85.3	87.5	88.5	87.3	89.4
75	86.4	84.8	87.2	88.2	87	89.2
74	86	84.3	86.9	88	86.7	89
73	85.6	83.8	86.6	87.7	86.4	88.8
72	85.3	83.3	86.4	87.5	86.1	88.6
71	84.9	82.9	86.1	87.3	85.9	88.5
70	84.6	82.4	85.9	87.1	85.6	88.3
69	84.2	81.9	85.7	86.9	85.3	88.2
68	83.9	81.5	85.5	86.7	85.1	88.1
67	83.6	81	85.3	86.5	84.9	87.9
66	83.3	80.6	85.1	86.4	84.6	87.8
65	82.9	80.2	84.9	86.2	84.4	87.7
64	82.6	79.8	84.7	86	84.2	87.6
63	82.3	79.4	84.5	85.9	84	87.5
62	82.1	79	84.3	85.7	83.8	87.4
61	81.8	78.7	84.2	85.6	83.5	87.3
60	81.5	78.3	84	85.4	83.3	87.2
59	81.3	78	83.9	85.3	83.1	87.1
58	81.1	77.7	83.7	85.1	83	87
57	80.9	77.4	83.6	85	82.8	87
56	80.7	77.2	83.5	84.9	82.6	86.9
55	80.4	76.9	83.4	84.8	82.5	86.8
54	80.2	76.6	83.3	84.6	82.3	86.7
53	80.1	76.4	83.2	84.5	82.2	86.7
52	79.9	76.2	83.1	84.4	82	86.6
51	79.7	75.9	82.9	84.3	81.9	86.5
50	79.5	75.7	82.9	84.2	81.8	86.5
49	79.4	75.5	82.8	84.2	81.7	86.4
48	79.2	75.3	82.7	84.1	81.6	86.4
47	79.1	75.1	82.6	84	81.5	86.3
46	78.9	74.9	82.5	83.9	81.4	86.3
45	78.8	74.8	82.4	83.9	81.3	86.2
44	78.7	74.6	82.3	83.8	81.2	86.2
43	78.5	74.4	82.3	83.8	81.2	86.2
42	78.4	74.3	82.2	83.7	81.1	86.1
41	78.3	74.1	82.2	83.7	81.1	86.1
40	78.2	74	82.1	83.6	81	86.1
39	78.1	73.9	82	83.6	81	86
38	78	73.7	82	83.6	80.9	86
37	77.9	73.6	81.9	83.5	80.9	86
36	77.8	73.5	81.9	83.5	80.9	86
35	77.7	73.4	81.9	83.5	80.8	86
34	77.6	73.3	81.8	83.5	80.8	86
33	77.6	73.2	81.8	83.4	80.8	85.9
32	77.5	73.1	81.7	83.4	80.7	85.9
31	77.4	73	81.7	83.4	80.7	85.9
30	77.4	72.9	81.7	83.4	80.7	85.9
29	77.3	72.8	81.7	83.4	80.7	85.9
28	77.3	72.7	81.6	83.3	80.6	85.9
27	77.2	72.7	81.6	83.3	80.6	85.9
26	77.2	72.6	81.6	83.3	80.6	85.9
25	77.1	72.6	81.6	83.3	80.6	85.8
24	77.1	72.5	81.6	83.3	80.5	85.8
23	77.1	72.5	81.5	83.3	80.5	85.8
22	77	72.4	81.5	83.2	80.5	85.8
21	77	72.4	81.5	83.2	80.5	85.8
20	77	72.3	81.5	83.2	80.5	85.8
19	76.9	72.3	81.5	83.2	80.4	85.8
18	76.9	72.2	81.4	83.2	80.4	85.8
17	76.9	72.2	81.4	83.2	80.4	85.8
16	76.9	72.2	81.4	83.2	80.4	85.8
15	76.8	72.2	81.4	83.2	80.4	85.8
14	76.8	72.2	81.4	83.2	80.4	85.8
13	76.8	72.1	81.4	83.2	80.4	85.7
12	76.8	72.1	81.4	83.2	80.4	85.7
11	76.8	72.1	81.4	83.1	80.4	85.7
10	76.8	72.1	81.4	83.1	80.4	85.7
9	76.8	72.1	81.4	83.1	80.4	85.7
8	76.8	72.1	81.3	83.1	80.4	85.7
7	76.8	72.1	81.3	83.1	80.4	85.7
6	76.8	72.1	81.3	83.1	80.4	85.7
5	76.8	72.1	81.3	83.1	80.3	85.7
4	76.7	72.1	81.3	83.1	80.3	85.7
3	76.7	72.1	81.3	83.1	80.3	85.7
2	76.7	72	81.3	83.1	80.3	85.7
1	76.7	72	81.3	83.1	80.3	85.7
0	76.5	71.8	81.1	82.9	80.1	85.5

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 83.4 in Portugal, rising to 82.9 and 86.2 at 65, and to 88.4 and 89.7 at 80 — higher than the 76.5 and 82.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Portugal

Male

Female

1x

Age	Survival probability
	Lithuania			Portugal
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	2.77%	1.47%	3.88%
99	1.32%	0.62%	1.92%	4.01%	2.22%	5.56%
98	2.01%	0.95%	2.92%	5.62%	3.24%	7.71%
97	2.95%	1.42%	4.28%	7.65%	4.58%	10.3%
96	4.19%	2.04%	6.06%	10.1%	6.28%	13.5%
95	5.75%	2.85%	8.27%	13%	8.36%	17.1%
94	7.68%	3.93%	11%	16.2%	10.8%	21.1%
93	10%	5.28%	14.2%	19.9%	13.7%	25.5%
92	12.6%	6.79%	17.7%	23.8%	16.9%	30.2%
91	15.4%	8.41%	21.6%	28.1%	20.4%	35.1%
90	18.6%	10.4%	25.8%	32.4%	24.1%	40.1%
89	21.9%	12.6%	30.1%	36.8%	28.1%	45%
88	25.3%	14.8%	34.6%	41.2%	32.1%	49.8%
87	28.8%	17.3%	39.2%	45.5%	36.1%	54.4%
86	32.4%	19.9%	43.6%	49.7%	40.1%	58.8%
85	35.8%	22.5%	47.9%	53.7%	44.1%	62.8%
84	39.2%	25.1%	51.9%	57.5%	47.9%	66.5%
83	42.4%	27.8%	55.7%	61%	51.5%	69.9%
82	45.4%	30.5%	59.1%	64.2%	54.9%	73%
81	48.3%	33.2%	62.3%	67.2%	58.1%	75.7%
80	51.1%	35.8%	65.3%	69.8%	61.1%	78.1%
79	53.6%	38.4%	67.9%	72.3%	63.8%	80.3%
78	56%	40.9%	70.3%	74.4%	66.3%	82.1%
77	58.3%	43.5%	72.5%	76.4%	68.6%	83.8%
76	60.6%	46.1%	74.5%	78.2%	70.7%	85.2%
75	62.7%	48.6%	76.3%	79.8%	72.7%	86.5%
74	64.7%	51.1%	78.1%	81.3%	74.5%	87.7%
73	66.7%	53.5%	79.6%	82.7%	76.2%	88.7%
72	68.6%	55.9%	81.1%	83.9%	77.8%	89.6%
71	70.4%	58.2%	82.4%	85.1%	79.3%	90.4%
70	72.1%	60.5%	83.6%	86.1%	80.7%	91.2%
69	73.7%	62.7%	84.8%	87.1%	82%	91.8%
68	75.3%	64.9%	85.9%	88%	83.2%	92.4%
67	76.8%	67%	86.9%	88.8%	84.3%	93%
66	78.3%	69.1%	87.9%	89.6%	85.4%	93.5%
65	79.8%	71.1%	88.8%	90.3%	86.4%	94%
64	81.1%	73%	89.6%	91%	87.4%	94.4%
63	82.3%	74.8%	90.3%	91.7%	88.3%	94.8%
62	83.5%	76.4%	91%	92.3%	89.2%	95.2%
61	84.6%	78%	91.7%	92.9%	90.1%	95.5%
60	85.7%	79.5%	92.3%	93.4%	90.9%	95.9%
59	86.6%	80.8%	92.8%	93.9%	91.6%	96.2%
58	87.5%	82.1%	93.3%	94.4%	92.3%	96.4%
57	88.3%	83.2%	93.7%	94.9%	92.9%	96.7%
56	89%	84.4%	94.1%	95.3%	93.5%	96.9%
55	89.8%	85.4%	94.5%	95.7%	94.1%	97.2%
54	90.5%	86.4%	94.9%	96%	94.6%	97.4%
53	91.1%	87.4%	95.3%	96.4%	95.1%	97.6%
52	91.7%	88.2%	95.6%	96.7%	95.6%	97.8%
51	92.3%	89%	95.9%	97%	96%	98%
50	92.8%	89.7%	96.2%	97.2%	96.3%	98.1%
49	93.3%	90.4%	96.5%	97.5%	96.7%	98.3%
48	93.7%	91.1%	96.7%	97.7%	97%	98.4%
47	94.2%	91.8%	97%	97.9%	97.2%	98.5%
46	94.6%	92.3%	97.2%	98%	97.5%	98.6%
45	95%	92.9%	97.4%	98.2%	97.7%	98.7%
44	95.4%	93.4%	97.6%	98.3%	97.9%	98.8%
43	95.7%	93.9%	97.8%	98.5%	98%	98.9%
42	96%	94.3%	97.9%	98.6%	98.2%	99%
41	96.3%	94.8%	98%	98.7%	98.3%	99.1%
40	96.6%	95.2%	98.2%	98.8%	98.4%	99.1%
39	96.9%	95.6%	98.3%	98.8%	98.5%	99.2%
38	97.1%	96%	98.4%	98.9%	98.6%	99.2%
37	97.4%	96.3%	98.5%	99%	98.7%	99.3%
36	97.6%	96.6%	98.6%	99%	98.8%	99.3%
35	97.8%	96.9%	98.7%	99.1%	98.8%	99.3%
34	97.9%	97.1%	98.8%	99.1%	98.9%	99.4%
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%	99.3%	99.1%	99.5%
30	98.5%	98%	99.1%	99.3%	99.1%	99.5%
29	98.6%	98.2%	99.1%	99.3%	99.2%	99.5%
28	98.7%	98.3%	99.2%	99.4%	99.2%	99.5%
27	98.8%	98.5%	99.2%	99.4%	99.3%	99.5%
26	98.9%	98.6%	99.2%	99.4%	99.3%	99.6%
25	99%	98.7%	99.3%	99.5%	99.3%	99.6%
24	99.1%	98.8%	99.3%	99.5%	99.4%	99.6%
23	99.1%	98.9%	99.3%	99.5%	99.4%	99.6%
22	99.2%	99%	99.4%	99.5%	99.5%	99.6%
21	99.2%	99.1%	99.4%	99.6%	99.5%	99.6%
20	99.3%	99.2%	99.4%	99.6%	99.5%	99.6%
19	99.4%	99.3%	99.5%	99.6%	99.6%	99.7%
18	99.4%	99.4%	99.5%	99.6%	99.6%	99.7%
17	99.5%	99.4%	99.5%	99.6%	99.6%	99.7%
16	99.5%	99.4%	99.5%	99.7%	99.6%	99.7%
15	99.5%	99.5%	99.5%	99.7%	99.6%	99.7%
14	99.5%	99.5%	99.6%	99.7%	99.6%	99.7%
13	99.6%	99.5%	99.6%	99.7%	99.6%	99.7%
12	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
11	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
10	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
9	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
8	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
7	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
6	99.6%	99.6%	99.7%	99.7%	99.7%	99.7%
5	99.6%	99.6%	99.7%	99.7%	99.7%	99.7%
4	99.7%	99.6%	99.7%	99.7%	99.7%	99.8%
3	99.7%	99.7%	99.7%	99.7%	99.7%	99.8%
2	99.7%	99.7%	99.7%	99.8%	99.7%	99.8%
1	99.7%	99.7%	99.7%	99.8%	99.8%	99.8%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 93.4% in Portugal are expected to live past 60, 72.1% and 86.1% past 70, 51.1% and 69.8% past 80, and only 18.6% and 32.4% 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

Portugal

Male

Female

1x

Age	Probability of dying
	Lithuania			Portugal
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	33.1%	35.9%	32.5%
99	36.9%	37.2%	36.8%	31%	33.7%	30.2%
98	34.4%	35%	34.3%	28.7%	31.4%	27.9%
97	32%	32.8%	31.8%	26.4%	29.2%	25.5%
96	29.6%	30.6%	29.3%	24.3%	27%	23.3%
95	27.1%	28.5%	26.8%	22.2%	24.9%	21.1%
94	25.2%	27.3%	24.6%	20.2%	22.8%	19.1%
93	23.2%	25.7%	22.5%	18.3%	20.8%	17.2%
92	20.7%	22.1%	20.2%	16.6%	19%	15.5%
91	18.3%	19.3%	18%	15.1%	17.3%	14%
90	16.8%	19.1%	16.1%	13.4%	15.5%	12.3%
89	15.2%	17.3%	14.5%	12%	14%	10.9%
88	13.5%	15.1%	13%	10.6%	12.5%	9.61%
87	12.3%	14.4%	11.6%	9.48%	11.2%	8.49%
86	11%	13.1%	10.2%	8.42%	10%	7.43%
85	9.6%	11.4%	8.93%	7.44%	8.92%	6.47%
84	8.47%	10.4%	7.75%	6.55%	7.94%	5.61%
83	7.54%	9.67%	6.7%	5.75%	7.06%	4.86%
82	6.69%	8.81%	5.82%	5.02%	6.22%	4.18%
81	6.01%	8.11%	5.12%	4.42%	5.53%	3.62%
80	5.41%	7.44%	4.51%	3.82%	4.82%	3.08%
79	4.77%	6.65%	3.91%	3.34%	4.26%	2.65%
78	4.3%	6.23%	3.39%	2.92%	3.76%	2.26%
77	3.98%	6%	2.98%	2.59%	3.38%	1.97%
76	3.69%	5.61%	2.7%	2.3%	3.02%	1.7%
75	3.4%	5.16%	2.45%	2.04%	2.71%	1.49%
74	3.14%	4.82%	2.19%	1.82%	2.46%	1.31%
73	2.93%	4.53%	1.99%	1.64%	2.23%	1.15%
72	2.74%	4.26%	1.82%	1.48%	2.03%	1.02%
71	2.54%	4.02%	1.6%	1.35%	1.88%	0.92%
70	2.35%	3.77%	1.44%	1.21%	1.7%	0.81%
69	2.23%	3.51%	1.37%	1.12%	1.58%	0.73%
68	2.11%	3.33%	1.26%	1.02%	1.45%	0.65%
67	2.01%	3.19%	1.16%	0.94%	1.34%	0.59%
66	1.92%	3.03%	1.11%	0.87%	1.25%	0.54%
65	1.79%	2.81%	1.01%	0.81%	1.17%	0.49%
64	1.64%	2.58%	0.9%	0.76%	1.11%	0.46%
63	1.52%	2.36%	0.83%	0.72%	1.06%	0.43%
62	1.41%	2.17%	0.78%	0.68%	1%	0.4%
61	1.31%	2.01%	0.71%	0.64%	0.95%	0.37%
60	1.2%	1.86%	0.63%	0.59%	0.88%	0.34%
59	1.09%	1.69%	0.58%	0.55%	0.82%	0.32%
58	0.98%	1.48%	0.54%	0.51%	0.75%	0.29%
57	0.91%	1.39%	0.47%	0.47%	0.7%	0.27%
56	0.86%	1.34%	0.42%	0.44%	0.64%	0.25%
55	0.83%	1.26%	0.42%	0.41%	0.6%	0.24%
54	0.78%	1.16%	0.42%	0.38%	0.55%	0.22%
53	0.7%	1.06%	0.36%	0.35%	0.51%	0.21%
52	0.65%	0.97%	0.34%	0.32%	0.47%	0.19%
51	0.61%	0.88%	0.34%	0.3%	0.43%	0.18%
50	0.56%	0.83%	0.29%	0.27%	0.38%	0.16%
49	0.53%	0.78%	0.27%	0.24%	0.34%	0.15%
48	0.51%	0.74%	0.27%	0.22%	0.3%	0.14%
47	0.48%	0.69%	0.25%	0.2%	0.27%	0.13%
46	0.44%	0.64%	0.23%	0.18%	0.24%	0.11%
45	0.41%	0.6%	0.2%	0.16%	0.21%	0.1%
44	0.38%	0.54%	0.2%	0.14%	0.19%	0.09%
43	0.35%	0.5%	0.19%	0.13%	0.17%	0.08%
42	0.33%	0.49%	0.16%	0.11%	0.15%	0.08%
41	0.31%	0.47%	0.13%	0.1%	0.13%	0.07%
40	0.28%	0.42%	0.13%	0.09%	0.12%	0.06%
39	0.28%	0.41%	0.13%	0.08%	0.1%	0.06%
38	0.27%	0.4%	0.12%	0.07%	0.09%	0.05%
37	0.23%	0.33%	0.11%	0.06%	0.08%	0.04%
36	0.21%	0.3%	0.1%	0.06%	0.07%	0.04%
35	0.2%	0.29%	0.09%	0.05%	0.07%	0.04%
34	0.19%	0.28%	0.09%	0.05%	0.06%	0.03%
33	0.18%	0.26%	0.09%	0.04%	0.06%	0.03%
32	0.15%	0.23%	0.06%	0.04%	0.06%	0.03%
31	0.13%	0.2%	0.06%	0.04%	0.05%	0.03%
30	0.13%	0.19%	0.06%	0.04%	0.05%	0.02%
29	0.13%	0.2%	0.05%	0.04%	0.05%	0.02%
28	0.11%	0.18%	0.04%	0.03%	0.05%	0.02%
27	0.09%	0.14%	0.04%	0.03%	0.05%	0.02%
26	0.08%	0.13%	0.04%	0.03%	0.04%	0.02%
25	0.08%	0.12%	0.03%	0.03%	0.04%	0.02%
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%	0.02%
21	0.06%	0.08%	0.03%	0.03%	0.04%	0.02%
20	0.06%	0.08%	0.03%	0.02%	0.03%	0.01%
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%	0.008%	0.009%	0.007%
13	0.02%	0.02%	0.02%	0.007%	0.008%	0.006%
12	0.01%	0.02%	0.01%	0.006%	0.007%	0.006%
11	0.01%	0.02%	0.008%	0.006%	0.006%	0.005%
10	0.01%	0.01%	0.01%	0.006%	0.006%	0.005%
9	0.01%	0.009%	0.01%	0.005%	0.005%	0.005%
8	0.01%	0.01%	0.01%	0.005%	0.005%	0.005%
7	0.01%	0.01%	0.01%	0.005%	0.005%	0.004%
6	0.01%	0.009%	0.01%	0.005%	0.005%	0.004%
5	0.009%	0.009%	0.01%	0.005%	0.006%	0.005%
4	0.01%	0.01%	0.01%	0.006%	0.007%	0.006%
3	0.01%	0.01%	0.01%	0.009%	0.01%	0.008%
2	0.01%	0.01%	0.01%	0.02%	0.02%	0.01%
1	0.03%	0.02%	0.03%	0.03%	0.04%	0.03%
0	0.29%	0.3%	0.28%	0.21%	0.23%	0.19%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 0.21% in Portugal, 0.13% vs 0.04% at age 30, 1.2% vs 0.59% at 60, and 5.41% vs 3.82% at 80.

Death rate by age in Lithuania vs Portugal

Chart Table

Lithuania

Male

Female

Portugal

Male

Female

1x

Age	Death rate
	Lithuania			Portugal
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	810	374	1,188
99	485	230.3	706	1,243	749	1,681
98	690	333	1,000	1,613	1,019	2,147
97	945	465	1,362	2,022	1,339	2,643
96	1,240	624	1,777	2,448	1,698	3,140
95	1,559	812	2,213	2,875	2,081	3,611
94	1,933	1,074	2,695	3,278	2,469	4,036
93	2,322	1,356	3,186	3,642	2,847	4,400
92	2,605	1,503	3,588	3,957	3,200	4,688
91	2,822	1,627	3,887	4,225	3,532	4,904
90	3,119	1,989	4,148	4,340	3,738	4,933
89	3,315	2,179	4,361	4,424	3,931	4,925
88	3,420	2,242	4,500	4,378	3,996	4,781
87	3,556	2,501	4,539	4,318	4,044	4,616
86	3,561	2,606	4,462	4,185	4,017	4,368
85	3,442	2,562	4,282	3,997	3,930	4,062
84	3,319	2,605	4,028	3,763	3,799	3,731
83	3,194	2,688	3,733	3,509	3,634	3,399
82	3,036	2,683	3,441	3,223	3,413	3,050
81	2,903	2,691	3,191	2,969	3,215	2,744
80	2,761	2,665	2,945	2,665	2,944	2,408
79	2,559	2,550	2,657	2,414	2,720	2,124
78	2,410	2,551	2,381	2,171	2,495	1,860
77	2,321	2,611	2,161	1,978	2,317	1,646
76	2,234	2,586	2,009	1,795	2,139	1,453
75	2,134	2,512	1,873	1,627	1,973	1,285
74	2,030	2,466	1,712	1,482	1,832	1,145
73	1,953	2,423	1,589	1,353	1,703	1,024
72	1,881	2,380	1,473	1,239	1,579	914
71	1,785	2,341	1,322	1,150	1,489	829
70	1,696	2,284	1,202	1,045	1,370	737
69	1,642	2,203	1,159	976	1,298	672
68	1,590	2,161	1,081	894	1,205	604
67	1,542	2,140	1,004	831	1,134	550
66	1,507	2,091	975	777	1,068	503
65	1,429	2,002	900	730	1,014	465
64	1,330	1,887	809	691	971	432
63	1,248	1,765	754	656	932	403
62	1,177	1,655	711	623	892	377
61	1,106	1,569	648	595	855	355
60	1,028	1,481	582	552	797	327
59	942	1,363	535	517	749	304
58	857	1,218	506	479	695	280
57	800	1,155	445	448	647	261.4
56	766	1,132	394	417	601	244.5
55	742	1,077	398	389	560	229.8
54	702	1,001	394	364	522	216.2
53	639	928	338	338	484	203.1
52	596	853	327	312	445	189.2
51	560	787	324	288.2	408	176.1
50	518	741	280.7	260.4	366	161.5
49	493	708	260	236.6	330	149
48	475	674	256.5	212.9	295.2	135.9
47	448	630	244.5	192.2	265.3	123.9
46	417	589	222.4	172.1	236.4	111.8
45	391	555	199.3	153.6	209.9	100.7
44	361	507	192	138.1	187.4	91.6
43	336	467	183.2	124.3	166.9	83.7
42	320	461	155.8	111.5	147.9	76.5
41	301	446	132.1	100.4	132.1	69.8
40	275.1	398	130.8	88.2	115.4	62
39	271.3	396	125	77.9	101.3	55
38	262.3	387	115.9	68.7	89.2	48.5
37	224.5	322	110.3	61.6	80.3	42.9
36	201.3	287.8	100.8	56	73.5	38.5
35	194	281.1	93.1	51.9	68.3	35.2
34	186.8	269.6	92.7	48.2	63.7	32.6
33	172.2	250.4	84.7	44.5	58.8	30.1
32	148.5	225.2	62.9	41.6	55	27.8
31	130.3	194.6	59.1	39.7	53.2	25.7
30	123.6	182.3	59.6	37.9	51.8	23.4
29	123.7	194.9	46.9	36.2	50.7	21.1
28	109.5	173.6	40.2	33.9	48.6	18.7
27	90.6	138.4	39.5	31.7	46.2	16.7
26	82.1	123.9	38.2	29.8	43.5	15.5
25	77	118.5	33.7	28.6	41.2	15.3
24	67.9	107	27.3	27.8	39.4	15.7
23	64.5	99.2	28.2	27.5	38.2	16.2
22	62.3	92.2	31.2	26.9	37.2	16.1
21	56.7	82.6	30	26	36	15.5
20	56.2	83.3	28.3	24.5	34.2	14.5
19	62.7	94.3	30	21.9	30.5	13
18	50.7	70.8	29.8	18.6	25.8	11.2
17	34.2	43.8	24.1	15.3	20.8	9.7
16	30.9	45.9	15.2	12.2	16	8.39
15	29.1	40.8	16.8	9.78	12.1	7.4
14	25	28.9	20.8	8	9.27	6.65
13	19.1	21.8	16.4	6.88	7.6	6.12
12	14.3	18.6	9.7	6.21	6.69	5.7
11	12.2	15.7	8.41	5.85	6.3	5.37
10	10.5	10.8	10.2	5.56	5.99	5.1
9	10.3	9.11	11.5	5.15	5.43	4.85
8	12	13.2	10.7	4.77	4.94	4.6
7	11.3	12	10.7	4.6	4.78	4.41
6	9.63	8.66	10.7	4.8	5.18	4.39
5	9.42	9.23	9.62	5.34	5.98	4.67
4	11.3	12.2	10.4	6.36	7.16	5.52
3	13.8	14.4	13.1	8.8	9.82	7.74
2	13.2	14.4	11.8	15.2	16.9	13.4
1	25.4	24.3	26.4	34.3	38	30.5
0	291.9	305	278.5	214.3	234.1	193.4

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 89 in Portugal. The median age of death is 80.4 in Lithuania and 85.9 in Portugal, 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 Portugal more than their death rates.

Life expectancy in other countries

+ -

1x