Life Expectancy in Lithuania vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Thailand
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.9	102.7	103.1
99	101.1	100.9	101.1	102.1	101.8	102.2
98	100.2	100.1	100.2	101.2	101	101.4
97	99.3	99.2	99.3	100.4	100.2	100.5
96	98.5	98.4	98.5	99.7	99.5	99.8
95	97.7	97.6	97.7	98.9	98.7	99
94	96.9	96.7	96.9	98.2	97.9	98.3
93	96.1	95.9	96.1	97.4	97.2	97.6
92	95.4	95.2	95.4	96.7	96.5	96.9
91	94.6	94.4	94.7	96.1	95.7	96.2
90	94	93.7	94	95.4	95	95.6
89	93.3	93	93.4	94.7	94.3	95
88	92.6	92.3	92.7	94.1	93.7	94.3
87	92	91.6	92.1	93.5	93	93.8
86	91.4	90.9	91.6	92.9	92.4	93.2
85	90.8	90.3	91	92.3	91.8	92.7
84	90.3	89.7	90.5	91.8	91.1	92.2
83	89.8	89.1	90	91.2	90.6	91.7
82	89.3	88.5	89.6	90.7	90	91.2
81	88.8	88	89.2	90.2	89.4	90.8
80	88.4	87.4	88.8	89.8	88.9	90.4
79	88	86.9	88.4	89.3	88.4	90
78	87.5	86.4	88.1	88.9	87.9	89.6
77	87.1	85.8	87.8	88.5	87.4	89.3
76	86.8	85.3	87.5	88.1	86.9	89
75	86.4	84.8	87.2	87.7	86.5	88.7
74	86	84.3	86.9	87.4	86.1	88.4
73	85.6	83.8	86.6	87	85.7	88.1
72	85.3	83.3	86.4	86.7	85.3	87.9
71	84.9	82.9	86.1	86.4	84.9	87.6
70	84.6	82.4	85.9	86.1	84.5	87.4
69	84.2	81.9	85.7	85.8	84.1	87.2
68	83.9	81.5	85.5	85.5	83.8	87
67	83.6	81	85.3	85.2	83.4	86.8
66	83.3	80.6	85.1	85	83.1	86.6
65	82.9	80.2	84.9	84.8	82.8	86.5
64	82.6	79.8	84.7	84.5	82.5	86.3
63	82.3	79.4	84.5	84.3	82.2	86.1
62	82.1	79	84.3	84.1	82	86
61	81.8	78.7	84.2	83.8	81.7	85.8
60	81.5	78.3	84	83.6	81.4	85.7
59	81.3	78	83.9	83.4	81.1	85.5
58	81.1	77.7	83.7	83.2	80.9	85.4
57	80.9	77.4	83.6	83	80.6	85.2
56	80.7	77.2	83.5	82.8	80.3	85.1
55	80.4	76.9	83.4	82.6	80.1	85
54	80.2	76.6	83.3	82.4	79.9	84.8
53	80.1	76.4	83.2	82.2	79.6	84.7
52	79.9	76.2	83.1	82	79.4	84.6
51	79.7	75.9	82.9	81.9	79.1	84.4
50	79.5	75.7	82.9	81.7	78.9	84.3
49	79.4	75.5	82.8	81.5	78.7	84.2
48	79.2	75.3	82.7	81.3	78.5	84.1
47	79.1	75.1	82.6	81.2	78.2	84
46	78.9	74.9	82.5	81	78	83.9
45	78.8	74.8	82.4	80.8	77.8	83.8
44	78.7	74.6	82.3	80.7	77.6	83.7
43	78.5	74.4	82.3	80.5	77.4	83.6
42	78.4	74.3	82.2	80.4	77.2	83.5
41	78.3	74.1	82.2	80.2	77	83.5
40	78.2	74	82.1	80.1	76.8	83.4
39	78.1	73.9	82	80	76.6	83.3
38	78	73.7	82	79.8	76.4	83.2
37	77.9	73.6	81.9	79.7	76.3	83.2
36	77.8	73.5	81.9	79.6	76.1	83.1
35	77.7	73.4	81.9	79.5	76	83.1
34	77.6	73.3	81.8	79.4	75.9	83
33	77.6	73.2	81.8	79.3	75.8	82.9
32	77.5	73.1	81.7	79.3	75.6	82.9
31	77.4	73	81.7	79.2	75.5	82.9
30	77.4	72.9	81.7	79.1	75.4	82.8
29	77.3	72.8	81.7	79	75.3	82.8
28	77.3	72.7	81.6	79	75.2	82.7
27	77.2	72.7	81.6	78.9	75.1	82.7
26	77.2	72.6	81.6	78.8	75	82.7
25	77.1	72.6	81.6	78.7	74.9	82.6
24	77.1	72.5	81.6	78.7	74.8	82.6
23	77.1	72.5	81.5	78.6	74.7	82.6
22	77	72.4	81.5	78.5	74.7	82.5
21	77	72.4	81.5	78.5	74.6	82.5
20	77	72.3	81.5	78.4	74.5	82.5
19	76.9	72.3	81.5	78.3	74.3	82.4
18	76.9	72.2	81.4	78.3	74.2	82.4
17	76.9	72.2	81.4	78.2	74.1	82.3
16	76.9	72.2	81.4	78.1	74.1	82.3
15	76.8	72.2	81.4	78.1	74	82.3
14	76.8	72.2	81.4	78	73.9	82.3
13	76.8	72.1	81.4	78	73.9	82.2
12	76.8	72.1	81.4	78	73.9	82.2
11	76.8	72.1	81.4	77.9	73.8	82.2
10	76.8	72.1	81.4	77.9	73.8	82.2
9	76.8	72.1	81.4	77.9	73.8	82.1
8	76.8	72.1	81.3	77.9	73.8	82.1
7	76.8	72.1	81.3	77.9	73.7	82.1
6	76.8	72.1	81.3	77.8	73.7	82.1
5	76.8	72.1	81.3	77.8	73.7	82.1
4	76.7	72.1	81.3	77.8	73.7	82
3	76.7	72.1	81.3	77.7	73.6	82
2	76.7	72	81.3	77.7	73.6	82
1	76.7	72	81.3	77.7	73.5	81.9
0	76.5	71.8	81.1	77.1	72.9	81.4

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 79.1 in Thailand, rising to 82.9 and 84.8 at 65, and to 88.4 and 89.8 at 80 — higher than the 76.5 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	Lithuania			Thailand
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	3.38%	2.05%	4.79%
99	1.32%	0.62%	1.92%	4.53%	2.77%	6.38%
98	2.01%	0.95%	2.92%	5.9%	3.65%	8.27%
97	2.95%	1.42%	4.28%	7.52%	4.71%	10.5%
96	4.19%	2.04%	6.06%	9.37%	5.96%	13%
95	5.75%	2.85%	8.27%	11.5%	7.39%	15.7%
94	7.68%	3.93%	11%	13.8%	9.02%	18.7%
93	10%	5.28%	14.2%	16.3%	10.8%	21.9%
92	12.6%	6.79%	17.7%	19%	12.8%	25.4%
91	15.4%	8.41%	21.6%	21.8%	15%	29%
90	18.6%	10.4%	25.8%	24.8%	17.4%	32.7%
89	21.9%	12.6%	30.1%	28%	19.9%	36.4%
88	25.3%	14.8%	34.6%	31.1%	22.4%	40.2%
87	28.8%	17.3%	39.2%	34.3%	25.1%	43.9%
86	32.4%	19.9%	43.6%	37.5%	27.8%	47.6%
85	35.8%	22.5%	47.9%	40.6%	30.6%	51.1%
84	39.2%	25.1%	51.9%	43.7%	33.4%	54.5%
83	42.4%	27.8%	55.7%	46.7%	36.2%	57.6%
82	45.4%	30.5%	59.1%	49.6%	38.9%	60.7%
81	48.3%	33.2%	62.3%	52.4%	41.6%	63.5%
80	51.1%	35.8%	65.3%	55%	44.3%	66.1%
79	53.6%	38.4%	67.9%	57.5%	46.9%	68.6%
78	56%	40.9%	70.3%	59.9%	49.4%	70.8%
77	58.3%	43.5%	72.5%	62.2%	51.8%	72.9%
76	60.6%	46.1%	74.5%	64.3%	54.1%	74.8%
75	62.7%	48.6%	76.3%	66.2%	56.3%	76.5%
74	64.7%	51.1%	78.1%	68%	58.3%	78%
73	66.7%	53.5%	79.6%	69.7%	60.3%	79.4%
72	68.6%	55.9%	81.1%	71.3%	62.2%	80.7%
71	70.4%	58.2%	82.4%	72.9%	64%	81.9%
70	72.1%	60.5%	83.6%	74.3%	65.8%	83.1%
69	73.7%	62.7%	84.8%	75.6%	67.4%	84.1%
68	75.3%	64.9%	85.9%	76.9%	69%	85%
67	76.8%	67%	86.9%	78%	70.4%	85.8%
66	78.3%	69.1%	87.9%	79%	71.7%	86.6%
65	79.8%	71.1%	88.8%	80%	72.9%	87.3%
64	81.1%	73%	89.6%	81%	74.1%	87.9%
63	82.3%	74.8%	90.3%	81.9%	75.3%	88.6%
62	83.5%	76.4%	91%	82.7%	76.4%	89.1%
61	84.6%	78%	91.7%	83.5%	77.5%	89.7%
60	85.7%	79.5%	92.3%	84.3%	78.5%	90.3%
59	86.6%	80.8%	92.8%	85.1%	79.5%	90.8%
58	87.5%	82.1%	93.3%	85.8%	80.4%	91.3%
57	88.3%	83.2%	93.7%	86.5%	81.3%	91.7%
56	89%	84.4%	94.1%	87.1%	82.2%	92.2%
55	89.8%	85.4%	94.5%	87.7%	83%	92.6%
54	90.5%	86.4%	94.9%	88.3%	83.8%	93%
53	91.1%	87.4%	95.3%	88.9%	84.6%	93.4%
52	91.7%	88.2%	95.6%	89.5%	85.3%	93.8%
51	92.3%	89%	95.9%	90%	86.1%	94.1%
50	92.8%	89.7%	96.2%	90.5%	86.8%	94.4%
49	93.3%	90.4%	96.5%	91%	87.4%	94.7%
48	93.7%	91.1%	96.7%	91.5%	88.1%	95%
47	94.2%	91.8%	97%	91.9%	88.7%	95.3%
46	94.6%	92.3%	97.2%	92.4%	89.4%	95.6%
45	95%	92.9%	97.4%	92.8%	90%	95.8%
44	95.4%	93.4%	97.6%	93.2%	90.5%	96%
43	95.7%	93.9%	97.8%	93.6%	91.1%	96.2%
42	96%	94.3%	97.9%	94%	91.6%	96.4%
41	96.3%	94.8%	98%	94.3%	92.1%	96.6%
40	96.6%	95.2%	98.2%	94.7%	92.6%	96.8%
39	96.9%	95.6%	98.3%	95%	93.1%	97%
38	97.1%	96%	98.4%	95.2%	93.5%	97.1%
37	97.4%	96.3%	98.5%	95.5%	93.8%	97.2%
36	97.6%	96.6%	98.6%	95.7%	94.2%	97.4%
35	97.8%	96.9%	98.7%	96%	94.5%	97.5%
34	97.9%	97.1%	98.8%	96.2%	94.8%	97.6%
33	98.1%	97.4%	98.9%	96.3%	95.1%	97.7%
32	98.3%	97.6%	99%	96.5%	95.3%	97.8%
31	98.4%	97.8%	99%	96.7%	95.6%	97.9%
30	98.5%	98%	99.1%	96.8%	95.8%	97.9%
29	98.6%	98.2%	99.1%	97%	96%	98%
28	98.7%	98.3%	99.2%	97.1%	96.2%	98.1%
27	98.8%	98.5%	99.2%	97.3%	96.4%	98.2%
26	98.9%	98.6%	99.2%	97.4%	96.6%	98.2%
25	99%	98.7%	99.3%	97.5%	96.8%	98.3%
24	99.1%	98.8%	99.3%	97.6%	97%	98.3%
23	99.1%	98.9%	99.3%	97.7%	97.1%	98.4%
22	99.2%	99%	99.4%	97.9%	97.3%	98.5%
21	99.2%	99.1%	99.4%	98%	97.5%	98.5%
20	99.3%	99.2%	99.4%	98.1%	97.7%	98.6%
19	99.4%	99.3%	99.5%	98.2%	97.9%	98.6%
18	99.4%	99.4%	99.5%	98.4%	98.1%	98.7%
17	99.5%	99.4%	99.5%	98.5%	98.2%	98.7%
16	99.5%	99.4%	99.5%	98.6%	98.4%	98.8%
15	99.5%	99.5%	99.5%	98.6%	98.5%	98.8%
14	99.5%	99.5%	99.6%	98.7%	98.6%	98.9%
13	99.6%	99.5%	99.6%	98.8%	98.6%	98.9%
12	99.6%	99.6%	99.6%	98.8%	98.7%	98.9%
11	99.6%	99.6%	99.6%	98.8%	98.7%	99%
10	99.6%	99.6%	99.6%	98.9%	98.8%	99%
9	99.6%	99.6%	99.6%	98.9%	98.8%	99%
8	99.6%	99.6%	99.6%	98.9%	98.8%	99.1%
7	99.6%	99.6%	99.6%	99%	98.9%	99.1%
6	99.6%	99.6%	99.7%	99%	98.9%	99.1%
5	99.6%	99.6%	99.7%	99%	98.9%	99.1%
4	99.7%	99.6%	99.7%	99.1%	99%	99.2%
3	99.7%	99.7%	99.7%	99.1%	99%	99.2%
2	99.7%	99.7%	99.7%	99.2%	99.1%	99.3%
1	99.7%	99.7%	99.7%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 84.3% in Thailand are expected to live past 60, 72.1% and 74.3% past 70, 51.1% and 55% past 80, and only 18.6% and 24.8% 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

Thailand

Male

Female

1x

Age	Probability of dying
	Lithuania			Thailand
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	26.9%	27.5%	26.6%
99	36.9%	37.2%	36.8%	25.3%	26%	24.9%
98	34.4%	35%	34.3%	23.3%	24.2%	22.9%
97	32%	32.8%	31.8%	21.5%	22.5%	21%
96	29.6%	30.6%	29.3%	19.8%	20.9%	19.2%
95	27.1%	28.5%	26.8%	18.2%	19.4%	17.5%
94	25.2%	27.3%	24.6%	16.7%	18%	16%
93	23.2%	25.7%	22.5%	15.4%	16.8%	14.7%
92	20.7%	22.1%	20.2%	14.3%	15.7%	13.5%
91	18.3%	19.3%	18%	13.2%	14.6%	12.4%
90	16.8%	19.1%	16.1%	12.1%	13.5%	11.3%
89	15.2%	17.3%	14.5%	11.1%	12.5%	10.3%
88	13.5%	15.1%	13%	10.2%	11.5%	9.39%
87	12.3%	14.4%	11.6%	9.3%	10.6%	8.49%
86	11%	13.1%	10.2%	8.48%	9.79%	7.66%
85	9.6%	11.4%	8.93%	7.72%	9.03%	6.89%
84	8.47%	10.4%	7.75%	7.03%	8.32%	6.18%
83	7.54%	9.67%	6.7%	6.39%	7.67%	5.54%
82	6.69%	8.81%	5.82%	5.83%	7.08%	4.97%
81	6.01%	8.11%	5.12%	5.31%	6.53%	4.46%
80	5.41%	7.44%	4.51%	4.83%	6.02%	3.99%
79	4.77%	6.65%	3.91%	4.39%	5.53%	3.57%
78	4.3%	6.23%	3.39%	3.99%	5.07%	3.18%
77	3.98%	6%	2.98%	3.6%	4.64%	2.83%
76	3.69%	5.61%	2.7%	3.25%	4.23%	2.51%
75	3.4%	5.16%	2.45%	2.94%	3.86%	2.23%
74	3.14%	4.82%	2.19%	2.67%	3.54%	1.98%
73	2.93%	4.53%	1.99%	2.44%	3.27%	1.78%
72	2.74%	4.26%	1.82%	2.25%	3.04%	1.62%
71	2.54%	4.02%	1.6%	2.09%	2.84%	1.47%
70	2.35%	3.77%	1.44%	1.94%	2.66%	1.35%
69	2.23%	3.51%	1.37%	1.79%	2.47%	1.22%
68	2.11%	3.33%	1.26%	1.62%	2.26%	1.09%
67	2.01%	3.19%	1.16%	1.45%	2.03%	0.96%
66	1.92%	3.03%	1.11%	1.29%	1.82%	0.85%
65	1.79%	2.81%	1.01%	1.21%	1.7%	0.79%
64	1.64%	2.58%	0.9%	1.16%	1.62%	0.75%
63	1.52%	2.36%	0.83%	1.1%	1.54%	0.71%
62	1.41%	2.17%	0.78%	1.03%	1.45%	0.67%
61	1.31%	2.01%	0.71%	0.98%	1.37%	0.63%
60	1.2%	1.86%	0.63%	0.93%	1.3%	0.6%
59	1.09%	1.69%	0.58%	0.88%	1.23%	0.57%
58	0.98%	1.48%	0.54%	0.83%	1.17%	0.54%
57	0.91%	1.39%	0.47%	0.79%	1.11%	0.51%
56	0.86%	1.34%	0.42%	0.75%	1.05%	0.48%
55	0.83%	1.26%	0.42%	0.71%	1%	0.46%
54	0.78%	1.16%	0.42%	0.68%	0.95%	0.44%
53	0.7%	1.06%	0.36%	0.65%	0.91%	0.41%
52	0.65%	0.97%	0.34%	0.62%	0.88%	0.39%
51	0.61%	0.88%	0.34%	0.6%	0.84%	0.37%
50	0.56%	0.83%	0.29%	0.57%	0.81%	0.35%
49	0.53%	0.78%	0.27%	0.54%	0.78%	0.32%
48	0.51%	0.74%	0.27%	0.52%	0.74%	0.3%
47	0.48%	0.69%	0.25%	0.49%	0.72%	0.28%
46	0.44%	0.64%	0.23%	0.47%	0.69%	0.27%
45	0.41%	0.6%	0.2%	0.45%	0.67%	0.25%
44	0.38%	0.54%	0.2%	0.44%	0.64%	0.23%
43	0.35%	0.5%	0.19%	0.42%	0.62%	0.22%
42	0.33%	0.49%	0.16%	0.39%	0.59%	0.21%
41	0.31%	0.47%	0.13%	0.37%	0.55%	0.19%
40	0.28%	0.42%	0.13%	0.35%	0.52%	0.18%
39	0.28%	0.41%	0.13%	0.32%	0.48%	0.17%
38	0.27%	0.4%	0.12%	0.3%	0.44%	0.16%
37	0.23%	0.33%	0.11%	0.27%	0.4%	0.14%
36	0.21%	0.3%	0.1%	0.25%	0.36%	0.13%
35	0.2%	0.29%	0.09%	0.23%	0.33%	0.12%
34	0.19%	0.28%	0.09%	0.21%	0.3%	0.11%
33	0.18%	0.26%	0.09%	0.19%	0.28%	0.1%
32	0.15%	0.23%	0.06%	0.18%	0.26%	0.09%
31	0.13%	0.2%	0.06%	0.17%	0.25%	0.08%
30	0.13%	0.19%	0.06%	0.16%	0.24%	0.08%
29	0.13%	0.2%	0.05%	0.15%	0.23%	0.08%
28	0.11%	0.18%	0.04%	0.15%	0.22%	0.07%
27	0.09%	0.14%	0.04%	0.14%	0.21%	0.07%
26	0.08%	0.13%	0.04%	0.13%	0.2%	0.07%
25	0.08%	0.12%	0.03%	0.13%	0.19%	0.06%
24	0.07%	0.11%	0.03%	0.12%	0.18%	0.06%
23	0.07%	0.1%	0.03%	0.12%	0.18%	0.06%
22	0.06%	0.09%	0.03%	0.12%	0.18%	0.06%
21	0.06%	0.08%	0.03%	0.12%	0.19%	0.06%
20	0.06%	0.08%	0.03%	0.13%	0.19%	0.06%
19	0.06%	0.09%	0.03%	0.13%	0.2%	0.06%
18	0.05%	0.07%	0.03%	0.12%	0.19%	0.06%
17	0.03%	0.04%	0.02%	0.11%	0.17%	0.05%
16	0.03%	0.05%	0.02%	0.1%	0.14%	0.05%
15	0.03%	0.04%	0.02%	0.08%	0.11%	0.05%
14	0.03%	0.03%	0.02%	0.07%	0.09%	0.04%
13	0.02%	0.02%	0.02%	0.05%	0.07%	0.04%
12	0.01%	0.02%	0.01%	0.04%	0.05%	0.03%
11	0.01%	0.02%	0.008%	0.04%	0.05%	0.03%
10	0.01%	0.01%	0.01%	0.03%	0.04%	0.03%
9	0.01%	0.009%	0.01%	0.03%	0.04%	0.03%
8	0.01%	0.01%	0.01%	0.03%	0.04%	0.02%
7	0.01%	0.01%	0.01%	0.03%	0.04%	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%	0.04%	0.04%	0.04%
3	0.01%	0.01%	0.01%	0.05%	0.05%	0.04%
2	0.01%	0.01%	0.01%	0.05%	0.05%	0.05%
1	0.03%	0.02%	0.03%	0.06%	0.06%	0.07%
0	0.29%	0.3%	0.28%	0.76%	0.84%	0.67%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 0.76% in Thailand, 0.13% vs 0.16% at age 30, 1.2% vs 0.93% at 60, and 5.41% vs 4.83% at 80.

Death rate by age in Lithuania vs Thailand

Chart Table

Lithuania

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	Lithuania			Thailand
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	906	530	1,303
99	485	230.3	706	1,143	719	1,589
98	690	333	1,000	1,374	882	1,890
97	945	465	1,362	1,615	1,060	2,196
96	1,240	624	1,777	1,855	1,247	2,491
95	1,559	812	2,213	2,082	1,435	2,757
94	1,933	1,074	2,695	2,298	1,626	2,999
93	2,322	1,356	3,186	2,505	1,819	3,222
92	2,605	1,503	3,588	2,704	2,011	3,427
91	2,822	1,627	3,887	2,878	2,190	3,596
90	3,119	1,989	4,148	3,009	2,344	3,702
89	3,315	2,179	4,361	3,107	2,476	3,762
88	3,420	2,242	4,500	3,171	2,586	3,775
87	3,556	2,501	4,539	3,193	2,668	3,731
86	3,561	2,606	4,462	3,180	2,726	3,642
85	3,442	2,562	4,282	3,139	2,763	3,517
84	3,319	2,605	4,028	3,072	2,778	3,364
83	3,194	2,688	3,733	2,986	2,775	3,193
82	3,036	2,683	3,441	2,888	2,755	3,014
81	2,903	2,691	3,191	2,779	2,719	2,829
80	2,761	2,665	2,945	2,658	2,666	2,639
79	2,559	2,550	2,657	2,529	2,595	2,448
78	2,410	2,551	2,381	2,389	2,506	2,253
77	2,321	2,611	2,161	2,240	2,402	2,060
76	2,234	2,586	2,009	2,090	2,289	1,874
75	2,134	2,512	1,873	1,946	2,174	1,701
74	2,030	2,466	1,712	1,815	2,067	1,548
73	1,953	2,423	1,589	1,702	1,973	1,416
72	1,881	2,380	1,473	1,605	1,892	1,304
71	1,785	2,341	1,322	1,520	1,820	1,207
70	1,696	2,284	1,202	1,439	1,748	1,117
69	1,642	2,203	1,159	1,352	1,664	1,027
68	1,590	2,161	1,081	1,249	1,556	929
67	1,542	2,140	1,004	1,133	1,427	826
66	1,507	2,091	975	1,023	1,302	734
65	1,429	2,002	900	967	1,237	687
64	1,330	1,887	809	937	1,204	663
63	1,248	1,765	754	897	1,156	630
62	1,177	1,655	711	852	1,105	595
61	1,106	1,569	648	818	1,065	569
60	1,028	1,481	582	782	1,023	541
59	942	1,363	535	747	979	514
58	857	1,218	506	716	941	490
57	800	1,155	445	686	904	468
56	766	1,132	394	656	867	446
55	742	1,077	398	627	829	425
54	702	1,001	394	601	797	405
53	639	928	338	580	773	386
52	596	853	327	559	751	367
51	560	787	324	537	727	347
50	518	741	280.7	515	702	327
49	493	708	260	494	678	307
48	475	674	256.5	474	656	288.2
47	448	630	244.5	455	636	270.1
46	417	589	222.4	438	617	253.3
45	391	555	199.3	422	600	238
44	361	507	192	406	582	224
43	336	467	183.2	389	561	211
42	320	461	155.8	370	537	198.9
41	301	446	132.1	350	509	187.4
40	275.1	398	130.8	329	477	175.9
39	271.3	396	125	307	444	164.3
38	262.3	387	115.9	283	409	152.4
37	224.5	322	110.3	259.7	375	140.2
36	201.3	287.8	100.8	237.3	342	128
35	194	281.1	93.1	216.6	313	116.5
34	186.8	269.6	92.7	198.7	288.3	106
33	172.2	250.4	84.7	183.9	267.9	96.9
32	148.5	225.2	62.9	172.3	252	89.3
31	130.3	194.6	59.1	163.2	239.6	83.1
30	123.6	182.3	59.6	155.8	229.6	78
29	123.7	194.9	46.9	149.3	220.5	73.8
28	109.5	173.6	40.2	142.7	210.9	70.1
27	90.6	138.4	39.5	136	200.7	66.8
26	82.1	123.9	38.2	129.3	190.3	63.8
25	77	118.5	33.7	123.1	181	61.3
24	67.9	107	27.3	118.6	174.6	59.2
23	64.5	99.2	28.2	116.8	172.5	57.8
22	62.3	92.2	31.2	117.6	175	57.1
21	56.7	82.6	30	120.7	181.2	57
20	56.2	83.3	28.3	124.3	188	57.1
19	62.7	94.3	30	125.9	191.1	56.9
18	50.7	70.8	29.8	122.2	184.7	56
17	34.2	43.8	24.1	112.5	167.5	54.1
16	30.9	45.9	15.2	97.5	141.4	50.9
15	29.1	40.8	16.8	80.9	113.1	46.8
14	25	28.9	20.8	65.5	87.5	42.1
13	19.1	21.8	16.4	53.1	67.8	37.5
12	14.3	18.6	9.7	43.9	53.9	33.2
11	12.2	15.7	8.41	37.4	44.7	29.7
10	10.5	10.8	10.2	33.3	39.2	27.1
9	10.3	9.11	11.5	31	36.2	25.4
8	12	13.2	10.7	29.9	34.8	24.6
7	11.3	12	10.7	30.1	34.9	25
6	9.63	8.66	10.7	31.6	36.3	26.6
5	9.42	9.23	9.62	34.7	39.1	30
4	11.3	12.2	10.4	39.3	43.1	35.2
3	13.8	14.4	13.1	45.5	48.1	42.6
2	13.2	14.4	11.8	53.4	54.3	52.5
1	25.4	24.3	26.4	63.5	61.6	65.5
0	291.9	305	278.5	761	845	672

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 Thailand. The median age of death is 80.4 in Lithuania and 81.8 in Thailand, 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 Thailand more than their death rates.

Life expectancy in other countries

+ -

1x