Life Expectancy in Lithuania vs Marshall Islands (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Marshall Islands

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.9	101.8	102
99	101.1	100.9	101.1	101	100.9	101
98	100.2	100.1	100.2	100.1	100	100.1
97	99.3	99.2	99.3	99.2	99	99.2
96	98.5	98.4	98.5	98.3	98.2	98.3
95	97.7	97.6	97.7	97.4	97.3	97.5
94	96.9	96.7	96.9	96.6	96.4	96.6
93	96.1	95.9	96.1	95.7	95.5	95.8
92	95.4	95.2	95.4	94.9	94.7	95
91	94.6	94.4	94.7	94	93.8	94.1
90	94	93.7	94	93.2	93	93.3
89	93.3	93	93.4	92.4	92.2	92.6
88	92.6	92.3	92.7	91.7	91.4	91.8
87	92	91.6	92.1	90.9	90.6	91
86	91.4	90.9	91.6	90.2	89.8	90.3
85	90.8	90.3	91	89.4	89	89.6
84	90.3	89.7	90.5	88.7	88.3	88.9
83	89.8	89.1	90	88	87.5	88.2
82	89.3	88.5	89.6	87.3	86.8	87.6
81	88.8	88	89.2	86.6	86.1	86.9
80	88.4	87.4	88.8	85.9	85.4	86.3
79	88	86.9	88.4	85.3	84.7	85.7
78	87.5	86.4	88.1	84.6	84.1	85.2
77	87.1	85.8	87.8	84	83.4	84.6
76	86.8	85.3	87.5	83.5	82.8	84.1
75	86.4	84.8	87.2	82.9	82.2	83.6
74	86	84.3	86.9	82.3	81.6	83.1
73	85.6	83.8	86.6	81.8	81	82.6
72	85.3	83.3	86.4	81.3	80.5	82.2
71	84.9	82.9	86.1	80.8	79.9	81.7
70	84.6	82.4	85.9	80.3	79.4	81.3
69	84.2	81.9	85.7	79.9	78.9	80.9
68	83.9	81.5	85.5	79.4	78.4	80.6
67	83.6	81	85.3	79	77.9	80.2
66	83.3	80.6	85.1	78.6	77.4	79.9
65	82.9	80.2	84.9	78.2	77	79.5
64	82.6	79.8	84.7	77.8	76.6	79.2
63	82.3	79.4	84.5	77.5	76.1	78.9
62	82.1	79	84.3	77.1	75.7	78.6
61	81.8	78.7	84.2	76.8	75.4	78.4
60	81.5	78.3	84	76.4	75	78.1
59	81.3	78	83.9	76.1	74.6	77.8
58	81.1	77.7	83.7	75.8	74.3	77.6
57	80.9	77.4	83.6	75.5	74	77.3
56	80.7	77.2	83.5	75.3	73.7	77.1
55	80.4	76.9	83.4	75	73.4	76.9
54	80.2	76.6	83.3	74.7	73.1	76.6
53	80.1	76.4	83.2	74.5	72.8	76.4
52	79.9	76.2	83.1	74.3	72.6	76.2
51	79.7	75.9	82.9	74	72.3	76
50	79.5	75.7	82.9	73.8	72.1	75.8
49	79.4	75.5	82.8	73.6	71.9	75.7
48	79.2	75.3	82.7	73.4	71.7	75.5
47	79.1	75.1	82.6	73.2	71.5	75.3
46	78.9	74.9	82.5	73.1	71.3	75.2
45	78.8	74.8	82.4	72.9	71.1	75
44	78.7	74.6	82.3	72.7	70.9	74.8
43	78.5	74.4	82.3	72.6	70.7	74.7
42	78.4	74.3	82.2	72.4	70.6	74.6
41	78.3	74.1	82.2	72.3	70.4	74.4
40	78.2	74	82.1	72.2	70.3	74.3
39	78.1	73.9	82	72	70.2	74.2
38	78	73.7	82	71.9	70	74
37	77.9	73.6	81.9	71.8	69.9	73.9
36	77.8	73.5	81.9	71.7	69.8	73.8
35	77.7	73.4	81.9	71.5	69.7	73.7
34	77.6	73.3	81.8	71.4	69.5	73.6
33	77.6	73.2	81.8	71.3	69.4	73.5
32	77.5	73.1	81.7	71.2	69.3	73.4
31	77.4	73	81.7	71.1	69.2	73.3
30	77.4	72.9	81.7	71	69.1	73.2
29	77.3	72.8	81.7	70.9	69	73.1
28	77.3	72.7	81.6	70.8	68.9	73
27	77.2	72.7	81.6	70.7	68.8	72.9
26	77.2	72.6	81.6	70.6	68.7	72.8
25	77.1	72.6	81.6	70.5	68.6	72.7
24	77.1	72.5	81.6	70.4	68.5	72.6
23	77.1	72.5	81.5	70.3	68.4	72.5
22	77	72.4	81.5	70.2	68.2	72.4
21	77	72.4	81.5	70.1	68.1	72.3
20	77	72.3	81.5	70	68	72.2
19	76.9	72.3	81.5	69.9	67.9	72.1
18	76.9	72.2	81.4	69.8	67.8	72
17	76.9	72.2	81.4	69.7	67.7	72
16	76.9	72.2	81.4	69.6	67.7	71.9
15	76.8	72.2	81.4	69.6	67.6	71.8
14	76.8	72.2	81.4	69.5	67.6	71.8
13	76.8	72.1	81.4	69.5	67.5	71.7
12	76.8	72.1	81.4	69.4	67.5	71.7
11	76.8	72.1	81.4	69.4	67.5	71.6
10	76.8	72.1	81.4	69.4	67.4	71.6
9	76.8	72.1	81.4	69.3	67.4	71.6
8	76.8	72.1	81.3	69.3	67.4	71.5
7	76.8	72.1	81.3	69.2	67.3	71.5
6	76.8	72.1	81.3	69.2	67.3	71.4
5	76.8	72.1	81.3	69.1	67.2	71.4
4	76.7	72.1	81.3	69.1	67.2	71.3
3	76.7	72.1	81.3	69.1	67.1	71.3
2	76.7	72	81.3	69	67	71.2
1	76.7	72	81.3	68.8	66.8	71
0	76.5	71.8	81.1	67.3	65.2	69.8

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 71 in the Marshall Islands, rising to 82.9 and 78.2 at 65, and to 88.4 and 85.9 at 80 — higher than the 76.5 and 67.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Marshall Islands

Male

Female

1x

Age	Survival probability
	Lithuania			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.12%	0.06%	0.2%
99	1.32%	0.62%	1.92%	0.2%	0.09%	0.33%
98	2.01%	0.95%	2.92%	0.32%	0.15%	0.51%
97	2.95%	1.42%	4.28%	0.48%	0.24%	0.77%
96	4.19%	2.04%	6.06%	0.72%	0.37%	1.14%
95	5.75%	2.85%	8.27%	1.05%	0.56%	1.63%
94	7.68%	3.93%	11%	1.49%	0.82%	2.29%
93	10%	5.28%	14.2%	2.07%	1.17%	3.13%
92	12.6%	6.79%	17.7%	2.81%	1.63%	4.18%
91	15.4%	8.41%	21.6%	3.71%	2.22%	5.46%
90	18.6%	10.4%	25.8%	4.8%	2.96%	7%
89	21.9%	12.6%	30.1%	6.11%	3.88%	8.79%
88	25.3%	14.8%	34.6%	7.61%	4.98%	10.8%
87	28.8%	17.3%	39.2%	9.3%	6.28%	13.1%
86	32.4%	19.9%	43.6%	11.2%	7.79%	15.7%
85	35.8%	22.5%	47.9%	13.4%	9.49%	18.4%
84	39.2%	25.1%	51.9%	15.7%	11.4%	21.3%
83	42.4%	27.8%	55.7%	18.2%	13.5%	24.4%
82	45.4%	30.5%	59.1%	20.9%	15.7%	27.6%
81	48.3%	33.2%	62.3%	23.7%	18.2%	30.8%
80	51.1%	35.8%	65.3%	26.7%	20.7%	34%
79	53.6%	38.4%	67.9%	29.6%	23.4%	37.3%
78	56%	40.9%	70.3%	32.6%	26.2%	40.5%
77	58.3%	43.5%	72.5%	35.6%	29%	43.6%
76	60.6%	46.1%	74.5%	38.6%	31.9%	46.6%
75	62.7%	48.6%	76.3%	41.5%	34.8%	49.6%
74	64.7%	51.1%	78.1%	44.4%	37.7%	52.4%
73	66.7%	53.5%	79.6%	47.3%	40.6%	55%
72	68.6%	55.9%	81.1%	50%	43.5%	57.6%
71	70.4%	58.2%	82.4%	52.7%	46.3%	60%
70	72.1%	60.5%	83.6%	55.2%	49%	62.2%
69	73.7%	62.7%	84.8%	57.6%	51.7%	64.4%
68	75.3%	64.9%	85.9%	59.9%	54.2%	66.3%
67	76.8%	67%	86.9%	62.2%	56.7%	68.2%
66	78.3%	69.1%	87.9%	64.3%	59.1%	70%
65	79.8%	71.1%	88.8%	66.3%	61.4%	71.6%
64	81.1%	73%	89.6%	68.2%	63.7%	73.1%
63	82.3%	74.8%	90.3%	70%	65.7%	74.5%
62	83.5%	76.4%	91%	71.6%	67.7%	75.9%
61	84.6%	78%	91.7%	73.2%	69.6%	77.1%
60	85.7%	79.5%	92.3%	74.7%	71.4%	78.3%
59	86.6%	80.8%	92.8%	76.1%	73%	79.5%
58	87.5%	82.1%	93.3%	77.5%	74.6%	80.5%
57	88.3%	83.2%	93.7%	78.7%	76%	81.5%
56	89%	84.4%	94.1%	79.9%	77.4%	82.5%
55	89.8%	85.4%	94.5%	81%	78.7%	83.3%
54	90.5%	86.4%	94.9%	82%	79.9%	84.2%
53	91.1%	87.4%	95.3%	82.9%	81%	84.9%
52	91.7%	88.2%	95.6%	83.8%	82%	85.7%
51	92.3%	89%	95.9%	84.6%	83%	86.3%
50	92.8%	89.7%	96.2%	85.4%	83.9%	87%
49	93.3%	90.4%	96.5%	86.1%	84.7%	87.6%
48	93.7%	91.1%	96.7%	86.8%	85.5%	88.2%
47	94.2%	91.8%	97%	87.4%	86.2%	88.7%
46	94.6%	92.3%	97.2%	88%	86.9%	89.2%
45	95%	92.9%	97.4%	88.6%	87.5%	89.7%
44	95.4%	93.4%	97.6%	89.1%	88.1%	90.1%
43	95.7%	93.9%	97.8%	89.6%	88.6%	90.5%
42	96%	94.3%	97.9%	90%	89.1%	90.9%
41	96.3%	94.8%	98%	90.4%	89.6%	91.3%
40	96.6%	95.2%	98.2%	90.8%	90%	91.7%
39	96.9%	95.6%	98.3%	91.2%	90.4%	92%
38	97.1%	96%	98.4%	91.5%	90.8%	92.3%
37	97.4%	96.3%	98.5%	91.8%	91.1%	92.6%
36	97.6%	96.6%	98.6%	92.2%	91.5%	92.9%
35	97.8%	96.9%	98.7%	92.5%	91.8%	93.2%
34	97.9%	97.1%	98.8%	92.7%	92.1%	93.4%
33	98.1%	97.4%	98.9%	93%	92.4%	93.7%
32	98.3%	97.6%	99%	93.3%	92.6%	93.9%
31	98.4%	97.8%	99%	93.5%	92.9%	94.2%
30	98.5%	98%	99.1%	93.7%	93.2%	94.4%
29	98.6%	98.2%	99.1%	94%	93.4%	94.6%
28	98.7%	98.3%	99.2%	94.2%	93.7%	94.8%
27	98.8%	98.5%	99.2%	94.4%	93.9%	95%
26	98.9%	98.6%	99.2%	94.6%	94.1%	95.2%
25	99%	98.7%	99.3%	94.9%	94.4%	95.4%
24	99.1%	98.8%	99.3%	95.1%	94.6%	95.6%
23	99.1%	98.9%	99.3%	95.3%	94.9%	95.7%
22	99.2%	99%	99.4%	95.5%	95.1%	95.9%
21	99.2%	99.1%	99.4%	95.7%	95.3%	96.1%
20	99.3%	99.2%	99.4%	95.9%	95.6%	96.3%
19	99.4%	99.3%	99.5%	96.1%	95.8%	96.5%
18	99.4%	99.4%	99.5%	96.3%	96%	96.6%
17	99.5%	99.4%	99.5%	96.4%	96.1%	96.8%
16	99.5%	99.4%	99.5%	96.6%	96.2%	96.9%
15	99.5%	99.5%	99.5%	96.7%	96.3%	97%
14	99.5%	99.5%	99.6%	96.8%	96.4%	97.1%
13	99.6%	99.5%	99.6%	96.8%	96.5%	97.2%
12	99.6%	99.6%	99.6%	96.9%	96.6%	97.2%
11	99.6%	99.6%	99.6%	96.9%	96.6%	97.3%
10	99.6%	99.6%	99.6%	97%	96.7%	97.4%
9	99.6%	99.6%	99.6%	97.1%	96.7%	97.4%
8	99.6%	99.6%	99.6%	97.1%	96.8%	97.5%
7	99.6%	99.6%	99.6%	97.2%	96.8%	97.6%
6	99.6%	99.6%	99.7%	97.3%	96.9%	97.6%
5	99.6%	99.6%	99.7%	97.4%	97%	97.7%
4	99.7%	99.6%	99.7%	97.4%	97%	97.8%
3	99.7%	99.7%	99.7%	97.4%	97.1%	97.8%
2	99.7%	99.7%	99.7%	97.6%	97.3%	97.9%
1	99.7%	99.7%	99.7%	97.9%	97.6%	98.2%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 74.7% in the Marshall Islands are expected to live past 60, 72.1% and 55.2% past 70, 51.1% and 26.7% past 80, and only 18.6% and 4.8% 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

Marshall Islands

Male

Female

1x

Age	Probability of dying
	Lithuania			Marshall Islands
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	40%	42%	39.7%
99	36.9%	37.2%	36.8%	38.3%	40.2%	37.8%
98	34.4%	35%	34.3%	36.4%	38.5%	36%
97	32%	32.8%	31.8%	34.7%	36.8%	34.1%
96	29.6%	30.6%	29.3%	33%	35.1%	32.2%
95	27.1%	28.5%	26.8%	31.2%	33.4%	30.4%
94	25.2%	27.3%	24.6%	29.6%	31.6%	28.6%
93	23.2%	25.7%	22.5%	27.9%	29.9%	26.8%
92	20.7%	22.1%	20.2%	26.1%	28.3%	25.1%
91	18.3%	19.3%	18%	24.3%	26.7%	23.5%
90	16.8%	19.1%	16.1%	22.8%	25.1%	21.9%
89	15.2%	17.3%	14.5%	21.3%	23.6%	20.4%
88	13.5%	15.1%	13%	19.7%	22.1%	18.9%
87	12.3%	14.4%	11.6%	18.3%	20.7%	17.5%
86	11%	13.1%	10.2%	17.1%	19.3%	16.2%
85	9.6%	11.4%	8.93%	16%	18%	14.9%
84	8.47%	10.4%	7.75%	14.9%	16.7%	13.7%
83	7.54%	9.67%	6.7%	13.8%	15.5%	12.5%
82	6.69%	8.81%	5.82%	12.9%	14.4%	11.5%
81	6.01%	8.11%	5.12%	11.9%	13.3%	10.5%
80	5.41%	7.44%	4.51%	11%	12.3%	9.55%
79	4.77%	6.65%	3.91%	9.98%	11.4%	8.7%
78	4.3%	6.23%	3.39%	9.2%	10.6%	7.91%
77	3.98%	6%	2.98%	8.48%	9.8%	7.18%
76	3.69%	5.61%	2.7%	7.7%	9.06%	6.52%
75	3.4%	5.16%	2.45%	7.06%	8.37%	5.91%
74	3.14%	4.82%	2.19%	6.53%	7.72%	5.35%
73	2.93%	4.53%	1.99%	6.01%	7.11%	4.85%
72	2.74%	4.26%	1.82%	5.52%	6.56%	4.4%
71	2.54%	4.02%	1.6%	5.04%	6.05%	3.99%
70	2.35%	3.77%	1.44%	4.57%	5.58%	3.63%
69	2.23%	3.51%	1.37%	4.17%	5.15%	3.3%
68	2.11%	3.33%	1.26%	3.88%	4.76%	3%
67	2.01%	3.19%	1.16%	3.6%	4.4%	2.73%
66	1.92%	3.03%	1.11%	3.29%	4.06%	2.49%
65	1.79%	2.81%	1.01%	3%	3.75%	2.28%
64	1.64%	2.58%	0.9%	2.77%	3.46%	2.09%
63	1.52%	2.36%	0.83%	2.55%	3.19%	1.92%
62	1.41%	2.17%	0.78%	2.34%	2.93%	1.77%
61	1.31%	2.01%	0.71%	2.17%	2.7%	1.64%
60	1.2%	1.86%	0.63%	2.01%	2.47%	1.52%
59	1.09%	1.69%	0.58%	1.86%	2.27%	1.42%
58	0.98%	1.48%	0.54%	1.71%	2.08%	1.32%
57	0.91%	1.39%	0.47%	1.58%	1.91%	1.22%
56	0.86%	1.34%	0.42%	1.46%	1.76%	1.14%
55	0.83%	1.26%	0.42%	1.34%	1.62%	1.05%
54	0.78%	1.16%	0.42%	1.23%	1.49%	0.98%
53	0.7%	1.06%	0.36%	1.14%	1.37%	0.91%
52	0.65%	0.97%	0.34%	1.06%	1.27%	0.85%
51	0.61%	0.88%	0.34%	0.99%	1.17%	0.79%
50	0.56%	0.83%	0.29%	0.91%	1.07%	0.74%
49	0.53%	0.78%	0.27%	0.84%	0.99%	0.69%
48	0.51%	0.74%	0.27%	0.78%	0.91%	0.65%
47	0.48%	0.69%	0.25%	0.72%	0.83%	0.61%
46	0.44%	0.64%	0.23%	0.67%	0.77%	0.57%
45	0.41%	0.6%	0.2%	0.61%	0.7%	0.53%
44	0.38%	0.54%	0.2%	0.57%	0.65%	0.49%
43	0.35%	0.5%	0.19%	0.53%	0.6%	0.46%
42	0.33%	0.49%	0.16%	0.49%	0.55%	0.43%
41	0.31%	0.47%	0.13%	0.46%	0.51%	0.41%
40	0.28%	0.42%	0.13%	0.43%	0.48%	0.39%
39	0.28%	0.41%	0.13%	0.41%	0.45%	0.37%
38	0.27%	0.4%	0.12%	0.38%	0.42%	0.35%
37	0.23%	0.33%	0.11%	0.36%	0.39%	0.33%
36	0.21%	0.3%	0.1%	0.34%	0.37%	0.31%
35	0.2%	0.29%	0.09%	0.32%	0.35%	0.29%
34	0.19%	0.28%	0.09%	0.3%	0.33%	0.28%
33	0.18%	0.26%	0.09%	0.29%	0.31%	0.26%
32	0.15%	0.23%	0.06%	0.27%	0.3%	0.25%
31	0.13%	0.2%	0.06%	0.26%	0.29%	0.24%
30	0.13%	0.19%	0.06%	0.26%	0.28%	0.24%
29	0.13%	0.2%	0.05%	0.25%	0.27%	0.23%
28	0.11%	0.18%	0.04%	0.24%	0.26%	0.22%
27	0.09%	0.14%	0.04%	0.24%	0.26%	0.21%
26	0.08%	0.13%	0.04%	0.23%	0.25%	0.2%
25	0.08%	0.12%	0.03%	0.23%	0.25%	0.2%
24	0.07%	0.11%	0.03%	0.22%	0.25%	0.19%
23	0.07%	0.1%	0.03%	0.22%	0.25%	0.19%
22	0.06%	0.09%	0.03%	0.22%	0.25%	0.19%
21	0.06%	0.08%	0.03%	0.22%	0.25%	0.19%
20	0.06%	0.08%	0.03%	0.21%	0.24%	0.19%
19	0.06%	0.09%	0.03%	0.2%	0.22%	0.18%
18	0.05%	0.07%	0.03%	0.18%	0.2%	0.17%
17	0.03%	0.04%	0.02%	0.16%	0.17%	0.15%
16	0.03%	0.05%	0.02%	0.13%	0.13%	0.13%
15	0.03%	0.04%	0.02%	0.11%	0.11%	0.11%
14	0.03%	0.03%	0.02%	0.09%	0.08%	0.09%
13	0.02%	0.02%	0.02%	0.07%	0.07%	0.08%
12	0.01%	0.02%	0.01%	0.06%	0.06%	0.07%
11	0.01%	0.02%	0.008%	0.06%	0.06%	0.06%
10	0.01%	0.01%	0.01%	0.06%	0.05%	0.06%
9	0.01%	0.009%	0.01%	0.06%	0.06%	0.06%
8	0.01%	0.01%	0.01%	0.07%	0.06%	0.07%
7	0.01%	0.01%	0.01%	0.07%	0.07%	0.07%
6	0.01%	0.009%	0.01%	0.08%	0.08%	0.08%
5	0.009%	0.009%	0.01%	0.09%	0.09%	0.09%
4	0.01%	0.01%	0.01%	0.03%	0.03%	0.03%
3	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
2	0.01%	0.01%	0.01%	0.15%	0.17%	0.14%
1	0.03%	0.02%	0.03%	0.31%	0.33%	0.28%
0	0.29%	0.3%	0.28%	2.1%	2.41%	1.78%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 2.1% in the Marshall Islands, 0.13% vs 0.26% at age 30, 1.2% vs 2.01% at 60, and 5.41% vs 11% at 80.

Death rate by age in Lithuania vs Marshall Islands

Chart Table

Lithuania

Male

Female

Marshall Islands

Male

Female

1x

Age	Death rate
	Lithuania			Marshall Islands
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	0	0	7
99	485	230.3	706	77.2	37.7	123.1
98	690	333	1,000	115.1	58.8	182.7
97	945	465	1,362	168.1	88.9	262.8
96	1,240	624	1,777	239.1	130.6	367
95	1,559	812	2,213	329	186.3	497
94	1,933	1,074	2,695	442	258.4	655
93	2,322	1,356	3,186	579	349	840
92	2,605	1,503	3,588	732	460	1,051
91	2,822	1,627	3,887	902	591	1,284
90	3,119	1,989	4,148	1,094	744	1,534
89	3,315	2,179	4,361	1,303	915	1,793
88	3,420	2,242	4,500	1,500	1,103	2,052
87	3,556	2,501	4,539	1,698	1,301	2,303
86	3,561	2,606	4,462	1,913	1,505	2,536
85	3,442	2,562	4,282	2,138	1,707	2,743
84	3,319	2,605	4,028	2,332	1,903	2,918
83	3,194	2,688	3,733	2,514	2,089	3,057
82	3,036	2,683	3,441	2,692	2,261	3,159
81	2,903	2,691	3,191	2,834	2,418	3,223
80	2,761	2,665	2,945	2,924	2,557	3,249
79	2,559	2,550	2,657	2,955	2,676	3,241
78	2,410	2,551	2,381	3,000	2,772	3,201
77	2,321	2,611	2,161	3,019	2,844	3,132
76	2,234	2,586	2,009	2,971	2,891	3,039
75	2,134	2,512	1,873	2,932	2,912	2,928
74	2,030	2,466	1,712	2,899	2,911	2,803
73	1,953	2,423	1,589	2,841	2,890	2,671
72	1,881	2,380	1,473	2,764	2,851	2,533
71	1,785	2,341	1,322	2,658	2,799	2,395
70	1,696	2,284	1,202	2,523	2,736	2,258
69	1,642	2,203	1,159	2,405	2,663	2,123
68	1,590	2,161	1,081	2,325	2,582	1,992
67	1,542	2,140	1,004	2,239	2,495	1,865
66	1,507	2,091	975	2,116	2,403	1,744
65	1,429	2,002	900	1,992	2,305	1,630
64	1,330	1,887	809	1,891	2,203	1,525
63	1,248	1,765	754	1,783	2,097	1,429
62	1,177	1,655	711	1,680	1,987	1,343
61	1,106	1,569	648	1,587	1,877	1,265
60	1,028	1,481	582	1,504	1,767	1,193
59	942	1,363	535	1,414	1,658	1,126
58	857	1,218	506	1,322	1,555	1,061
57	800	1,155	445	1,242	1,456	998
56	766	1,132	394	1,164	1,362	936
55	742	1,077	398	1,087	1,274	877
54	702	1,001	394	1,009	1,191	821
53	639	928	338	942	1,113	770
52	596	853	327	887	1,038	724
51	560	787	324	834	967	682
50	518	741	280.7	779	899	644
49	493	708	260	724	835	608
48	475	674	256.5	674	775	574
47	448	630	244.5	629	718	539
46	417	589	222.4	585	665	506
45	391	555	199.3	545	616	473
44	361	507	192	507	571	443
43	336	467	183.2	473	530	416
42	320	461	155.8	443	494	392
41	301	446	132.1	416	460	372
40	275.1	398	130.8	392	430	353
39	271.3	396	125	370	403	337
38	262.3	387	115.9	349	379	321
37	224.5	322	110.3	330	356	305
36	201.3	287.8	100.8	312	336	289
35	194	281.1	93.1	294.9	318	273.7
34	186.8	269.6	92.7	279.2	301	259.7
33	172.2	250.4	84.7	265.7	287.2	247.4
32	148.5	225.2	62.9	254.9	275.1	237.2
31	130.3	194.6	59.1	246.4	264.9	228.9
30	123.6	182.3	59.6	239.2	256.6	221.9
29	123.7	194.9	46.9	233.4	250.1	215.4
28	109.5	173.6	40.2	227.9	245	208.7
27	90.6	138.4	39.5	222.6	241.4	201.5
26	82.1	123.9	38.2	218.1	239	194.1
25	77	118.5	33.7	214.6	237.8	187.1
24	67.9	107	27.3	212.4	237.8	181.7
23	64.5	99.2	28.2	211.2	238.3	178.6
22	62.3	92.2	31.2	210	238.3	177.9
21	56.7	82.6	30	208.7	235.8	178.7
20	56.2	83.3	28.3	204.7	227.9	178.6
19	62.7	94.3	30	195.1	212.5	175
18	50.7	70.8	29.8	178	189	165.4
17	34.2	43.8	24.1	154.6	159.5	149
16	30.9	45.9	15.2	128.9	129.2	128.6
15	29.1	40.8	16.8	104.8	102.2	107.6
14	25	28.9	20.8	85.3	81.2	89.5
13	19.1	21.8	16.4	71.3	66.7	76.1
12	14.3	18.6	9.7	62.3	57.7	67.2
11	12.2	15.7	8.41	57.9	53.3	62.7
10	10.5	10.8	10.2	57	52.6	61.6
9	10.3	9.11	11.5	59.1	55	63.3
8	12	13.2	10.7	63.6	60.2	67.1
7	11.3	12	10.7	70	67.7	72.4
6	9.63	8.66	10.7	78	77.4	78.7
5	9.42	9.23	9.62	87.3	89.2	85.3
4	11.3	12.2	10.4	32.5	33.5	31.4
3	13.8	14.4	13.1	58.2	63.4	52.7
2	13.2	14.4	11.8	147.2	160.7	132.8
1	25.4	24.3	26.4	299.2	325	271.2
0	291.9	305	278.5	2,105	2,408	1,781

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 77 in the Marshall Islands. The median age of death is 80.4 in Lithuania and 72 in the Marshall Islands, 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 the Marshall Islands more than their death rates.

Life expectancy in other countries

+ -

1x