Life Expectancy in Lithuania vs Monaco (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Monaco

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Monaco
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	103.1	102.6	103.3
99	101.1	100.9	101.1	102.3	101.8	102.6
98	100.2	100.1	100.2	101.5	101	101.9
97	99.3	99.2	99.3	100.8	100.2	101.2
96	98.5	98.4	98.5	100.1	99.4	100.5
95	97.7	97.6	97.7	99.3	98.7	99.8
94	96.9	96.7	96.9	98.7	97.9	99.2
93	96.1	95.9	96.1	98	97.2	98.5
92	95.4	95.2	95.4	97.3	96.6	97.9
91	94.6	94.4	94.7	96.7	95.9	97.4
90	94	93.7	94	96.1	95.3	96.8
89	93.3	93	93.4	95.6	94.7	96.3
88	92.6	92.3	92.7	95	94.1	95.8
87	92	91.6	92.1	94.5	93.5	95.4
86	91.4	90.9	91.6	94	93	94.9
85	90.8	90.3	91	93.5	92.5	94.5
84	90.3	89.7	90.5	93.1	92	94.1
83	89.8	89.1	90	92.6	91.5	93.7
82	89.3	88.5	89.6	92.2	91.1	93.3
81	88.8	88	89.2	91.9	90.7	93
80	88.4	87.4	88.8	91.5	90.3	92.7
79	88	86.9	88.4	91.2	89.9	92.4
78	87.5	86.4	88.1	90.9	89.6	92.2
77	87.1	85.8	87.8	90.6	89.3	91.9
76	86.8	85.3	87.5	90.3	89	91.7
75	86.4	84.8	87.2	90.1	88.7	91.5
74	86	84.3	86.9	89.9	88.5	91.4
73	85.6	83.8	86.6	89.7	88.2	91.2
72	85.3	83.3	86.4	89.5	88	91.1
71	84.9	82.9	86.1	89.3	87.8	90.9
70	84.6	82.4	85.9	89.1	87.6	90.8
69	84.2	81.9	85.7	89	87.4	90.7
68	83.9	81.5	85.5	88.8	87.2	90.6
67	83.6	81	85.3	88.7	87.1	90.5
66	83.3	80.6	85.1	88.6	86.9	90.4
65	82.9	80.2	84.9	88.5	86.8	90.3
64	82.6	79.8	84.7	88.4	86.7	90.3
63	82.3	79.4	84.5	88.3	86.6	90.2
62	82.1	79	84.3	88.2	86.5	90.1
61	81.8	78.7	84.2	88.2	86.4	90.1
60	81.5	78.3	84	88.1	86.3	90
59	81.3	78	83.9	88	86.2	90
58	81.1	77.7	83.7	88	86.1	90
57	80.9	77.4	83.6	87.9	86.1	89.9
56	80.7	77.2	83.5	87.9	86	89.9
55	80.4	76.9	83.4	87.8	85.9	89.8
54	80.2	76.6	83.3	87.8	85.9	89.8
53	80.1	76.4	83.2	87.7	85.8	89.8
52	79.9	76.2	83.1	87.7	85.8	89.7
51	79.7	75.9	82.9	87.6	85.7	89.7
50	79.5	75.7	82.9	87.6	85.7	89.7
49	79.4	75.5	82.8	87.6	85.7	89.7
48	79.2	75.3	82.7	87.6	85.6	89.6
47	79.1	75.1	82.6	87.5	85.6	89.6
46	78.9	74.9	82.5	87.5	85.6	89.6
45	78.8	74.8	82.4	87.5	85.6	89.6
44	78.7	74.6	82.3	87.5	85.5	89.5
43	78.5	74.4	82.3	87.4	85.5	89.5
42	78.4	74.3	82.2	87.4	85.5	89.5
41	78.3	74.1	82.2	87.4	85.5	89.5
40	78.2	74	82.1	87.4	85.5	89.5
39	78.1	73.9	82	87.4	85.5	89.5
38	78	73.7	82	87.4	85.4	89.5
37	77.9	73.6	81.9	87.4	85.4	89.4
36	77.8	73.5	81.9	87.3	85.4	89.4
35	77.7	73.4	81.9	87.3	85.4	89.4
34	77.6	73.3	81.8	87.3	85.4	89.4
33	77.6	73.2	81.8	87.3	85.4	89.4
32	77.5	73.1	81.7	87.3	85.4	89.4
31	77.4	73	81.7	87.3	85.4	89.4
30	77.4	72.9	81.7	87.3	85.4	89.4
29	77.3	72.8	81.7	87.3	85.3	89.4
28	77.3	72.7	81.6	87.3	85.3	89.4
27	77.2	72.7	81.6	87.3	85.3	89.4
26	77.2	72.6	81.6	87.2	85.3	89.3
25	77.1	72.6	81.6	87.2	85.3	89.3
24	77.1	72.5	81.6	87.2	85.3	89.3
23	77.1	72.5	81.5	87.2	85.3	89.3
22	77	72.4	81.5	87.2	85.3	89.3
21	77	72.4	81.5	87.2	85.3	89.3
20	77	72.3	81.5	87.2	85.2	89.3
19	76.9	72.3	81.5	87.2	85.2	89.3
18	76.9	72.2	81.4	87.2	85.2	89.3
17	76.9	72.2	81.4	87.2	85.2	89.3
16	76.9	72.2	81.4	87.2	85.2	89.3
15	76.8	72.2	81.4	87.2	85.2	89.3
14	76.8	72.2	81.4	87.1	85.2	89.3
13	76.8	72.1	81.4	87.1	85.2	89.3
12	76.8	72.1	81.4	87.1	85.2	89.3
11	76.8	72.1	81.4	87.1	85.2	89.3
10	76.8	72.1	81.4	87.1	85.2	89.2
9	76.8	72.1	81.4	87.1	85.2	89.2
8	76.8	72.1	81.3	87.1	85.2	89.2
7	76.8	72.1	81.3	87.1	85.2	89.2
6	76.8	72.1	81.3	87.1	85.2	89.2
5	76.8	72.1	81.3	87.1	85.2	89.2
4	76.7	72.1	81.3	87.1	85.1	89.2
3	76.7	72.1	81.3	87.1	85.1	89.2
2	76.7	72	81.3	87.1	85.1	89.2
1	76.7	72	81.3	87.1	85.1	89.2
0	76.5	71.8	81.1	86.7	84.8	88.8

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 87.3 in Monaco, rising to 82.9 and 88.5 at 65, and to 88.4 and 91.5 at 80 — higher than the 76.5 and 86.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Monaco

Male

Female

1x

Age	Survival probability
	Lithuania			Monaco
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	8.43%	4.58%	12.9%
99	1.32%	0.62%	1.92%	10.8%	6.25%	16%
98	2.01%	0.95%	2.92%	13.5%	8.3%	19.4%
97	2.95%	1.42%	4.28%	16.6%	10.7%	23.2%
96	4.19%	2.04%	6.06%	20%	13.6%	27.2%
95	5.75%	2.85%	8.27%	23.7%	16.8%	31.4%
94	7.68%	3.93%	11%	27.7%	20.3%	35.7%
93	10%	5.28%	14.2%	31.8%	24.1%	40.1%
92	12.6%	6.79%	17.7%	36%	28.2%	44.5%
91	15.4%	8.41%	21.6%	40.2%	32.4%	48.8%
90	18.6%	10.4%	25.8%	44.5%	36.7%	53%
89	21.9%	12.6%	30.1%	48.7%	41%	57.1%
88	25.3%	14.8%	34.6%	52.7%	45.3%	60.9%
87	28.8%	17.3%	39.2%	56.7%	49.5%	64.6%
86	32.4%	19.9%	43.6%	60.5%	53.6%	68%
85	35.8%	22.5%	47.9%	64.1%	57.5%	71.2%
84	39.2%	25.1%	51.9%	67.5%	61.2%	74.3%
83	42.4%	27.8%	55.7%	70.7%	64.7%	77.1%
82	45.4%	30.5%	59.1%	73.6%	68%	79.6%
81	48.3%	33.2%	62.3%	76.3%	71%	81.9%
80	51.1%	35.8%	65.3%	78.7%	73.8%	83.9%
79	53.6%	38.4%	67.9%	80.9%	76.3%	85.7%
78	56%	40.9%	70.3%	82.8%	78.6%	87.3%
77	58.3%	43.5%	72.5%	84.6%	80.7%	88.6%
76	60.6%	46.1%	74.5%	86.1%	82.6%	89.9%
75	62.7%	48.6%	76.3%	87.6%	84.3%	90.9%
74	64.7%	51.1%	78.1%	88.8%	85.9%	91.9%
73	66.7%	53.5%	79.6%	90%	87.3%	92.7%
72	68.6%	55.9%	81.1%	91%	88.5%	93.5%
71	70.4%	58.2%	82.4%	91.9%	89.7%	94.1%
70	72.1%	60.5%	83.6%	92.7%	90.7%	94.7%
69	73.7%	62.7%	84.8%	93.4%	91.7%	95.2%
68	75.3%	64.9%	85.9%	94.1%	92.5%	95.7%
67	76.8%	67%	86.9%	94.6%	93.2%	96%
66	78.3%	69.1%	87.9%	95.1%	93.9%	96.4%
65	79.8%	71.1%	88.8%	95.6%	94.4%	96.7%
64	81.1%	73%	89.6%	96%	94.9%	96.9%
63	82.3%	74.8%	90.3%	96.3%	95.4%	97.1%
62	83.5%	76.4%	91%	96.6%	95.8%	97.3%
61	84.6%	78%	91.7%	96.9%	96.2%	97.5%
60	85.7%	79.5%	92.3%	97.1%	96.5%	97.7%
59	86.6%	80.8%	92.8%	97.3%	96.8%	97.8%
58	87.5%	82.1%	93.3%	97.5%	97.1%	98%
57	88.3%	83.2%	93.7%	97.7%	97.3%	98.1%
56	89%	84.4%	94.1%	97.9%	97.6%	98.2%
55	89.8%	85.4%	94.5%	98%	97.8%	98.3%
54	90.5%	86.4%	94.9%	98.2%	97.9%	98.4%
53	91.1%	87.4%	95.3%	98.3%	98.1%	98.5%
52	91.7%	88.2%	95.6%	98.4%	98.2%	98.6%
51	92.3%	89%	95.9%	98.5%	98.3%	98.7%
50	92.8%	89.7%	96.2%	98.6%	98.4%	98.7%
49	93.3%	90.4%	96.5%	98.7%	98.5%	98.8%
48	93.7%	91.1%	96.7%	98.7%	98.6%	98.8%
47	94.2%	91.8%	97%	98.8%	98.7%	98.9%
46	94.6%	92.3%	97.2%	98.9%	98.8%	98.9%
45	95%	92.9%	97.4%	98.9%	98.8%	99%
44	95.4%	93.4%	97.6%	99%	98.9%	99%
43	95.7%	93.9%	97.8%	99%	98.9%	99.1%
42	96%	94.3%	97.9%	99%	99%	99.1%
41	96.3%	94.8%	98%	99.1%	99%	99.1%
40	96.6%	95.2%	98.2%	99.1%	99%	99.2%
39	96.9%	95.6%	98.3%	99.1%	99.1%	99.2%
38	97.1%	96%	98.4%	99.1%	99.1%	99.2%
37	97.4%	96.3%	98.5%	99.2%	99.1%	99.2%
36	97.6%	96.6%	98.6%	99.2%	99.1%	99.2%
35	97.8%	96.9%	98.7%	99.2%	99.2%	99.3%
34	97.9%	97.1%	98.8%	99.2%	99.2%	99.3%
33	98.1%	97.4%	98.9%	99.3%	99.2%	99.3%
32	98.3%	97.6%	99%	99.3%	99.2%	99.3%
31	98.4%	97.8%	99%	99.3%	99.2%	99.3%
30	98.5%	98%	99.1%	99.3%	99.3%	99.4%
29	98.6%	98.2%	99.1%	99.3%	99.3%	99.4%
28	98.7%	98.3%	99.2%	99.3%	99.3%	99.4%
27	98.8%	98.5%	99.2%	99.4%	99.3%	99.4%
26	98.9%	98.6%	99.2%	99.4%	99.3%	99.4%
25	99%	98.7%	99.3%	99.4%	99.3%	99.4%
24	99.1%	98.8%	99.3%	99.4%	99.4%	99.4%
23	99.1%	98.9%	99.3%	99.4%	99.4%	99.4%
22	99.2%	99%	99.4%	99.4%	99.4%	99.5%
21	99.2%	99.1%	99.4%	99.4%	99.4%	99.5%
20	99.3%	99.2%	99.4%	99.5%	99.4%	99.5%
19	99.4%	99.3%	99.5%	99.5%	99.4%	99.5%
18	99.4%	99.4%	99.5%	99.5%	99.5%	99.5%
17	99.5%	99.4%	99.5%	99.5%	99.5%	99.5%
16	99.5%	99.4%	99.5%	99.5%	99.5%	99.5%
15	99.5%	99.5%	99.5%	99.5%	99.5%	99.5%
14	99.5%	99.5%	99.6%	99.5%	99.5%	99.5%
13	99.6%	99.5%	99.6%	99.5%	99.5%	99.5%
12	99.6%	99.6%	99.6%	99.5%	99.5%	99.5%
11	99.6%	99.6%	99.6%	99.5%	99.5%	99.5%
10	99.6%	99.6%	99.6%	99.5%	99.5%	99.5%
9	99.6%	99.6%	99.6%	99.5%	99.5%	99.6%
8	99.6%	99.6%	99.6%	99.5%	99.5%	99.6%
7	99.6%	99.6%	99.6%	99.6%	99.5%	99.6%
6	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
5	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
4	99.7%	99.6%	99.7%	99.6%	99.6%	99.6%
3	99.7%	99.7%	99.7%	99.6%	99.6%	99.6%
2	99.7%	99.7%	99.7%	99.6%	99.6%	99.6%
1	99.7%	99.7%	99.7%	99.6%	99.6%	99.6%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 97.1% in Monaco are expected to live past 60, 72.1% and 92.7% past 70, 51.1% and 78.7% past 80, and only 18.6% and 44.5% 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

Monaco

Male

Female

1x

Age	Probability of dying
	Lithuania			Monaco
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	23.4%	28.5%	20.9%
99	36.9%	37.2%	36.8%	21.9%	26.7%	19.5%
98	34.4%	35%	34.3%	20.2%	24.7%	17.8%
97	32%	32.8%	31.8%	18.6%	22.7%	16.2%
96	29.6%	30.6%	29.3%	17%	20.9%	14.7%
95	27.1%	28.5%	26.8%	15.6%	19.1%	13.4%
94	25.2%	27.3%	24.6%	14.2%	17.4%	12.1%
93	23.2%	25.7%	22.5%	12.9%	15.8%	10.9%
92	20.7%	22.1%	20.2%	11.7%	14.4%	9.85%
91	18.3%	19.3%	18%	10.6%	13%	8.83%
90	16.8%	19.1%	16.1%	9.55%	11.7%	7.9%
89	15.2%	17.3%	14.5%	8.61%	10.5%	7.06%
88	13.5%	15.1%	13%	7.77%	9.46%	6.32%
87	12.3%	14.4%	11.6%	6.98%	8.5%	5.66%
86	11%	13.1%	10.2%	6.28%	7.62%	5.08%
85	9.6%	11.4%	8.93%	5.63%	6.83%	4.55%
84	8.47%	10.4%	7.75%	5.04%	6.1%	4.07%
83	7.54%	9.67%	6.7%	4.49%	5.43%	3.62%
82	6.69%	8.81%	5.82%	3.97%	4.82%	3.19%
81	6.01%	8.11%	5.12%	3.49%	4.26%	2.79%
80	5.41%	7.44%	4.51%	3.07%	3.75%	2.42%
79	4.77%	6.65%	3.91%	2.69%	3.31%	2.09%
78	4.3%	6.23%	3.39%	2.36%	2.91%	1.8%
77	3.98%	6%	2.98%	2.07%	2.58%	1.56%
76	3.69%	5.61%	2.7%	1.83%	2.28%	1.35%
75	3.4%	5.16%	2.45%	1.62%	2.03%	1.18%
74	3.14%	4.82%	2.19%	1.43%	1.81%	1.03%
73	2.93%	4.53%	1.99%	1.27%	1.62%	0.91%
72	2.74%	4.26%	1.82%	1.12%	1.44%	0.8%
71	2.54%	4.02%	1.6%	0.99%	1.29%	0.7%
70	2.35%	3.77%	1.44%	0.88%	1.14%	0.61%
69	2.23%	3.51%	1.37%	0.78%	1.01%	0.53%
68	2.11%	3.33%	1.26%	0.68%	0.89%	0.46%
67	2.01%	3.19%	1.16%	0.59%	0.78%	0.4%
66	1.92%	3.03%	1.11%	0.52%	0.69%	0.35%
65	1.79%	2.81%	1.01%	0.45%	0.6%	0.3%
64	1.64%	2.58%	0.9%	0.4%	0.53%	0.26%
63	1.52%	2.36%	0.83%	0.35%	0.47%	0.23%
62	1.41%	2.17%	0.78%	0.31%	0.43%	0.2%
61	1.31%	2.01%	0.71%	0.28%	0.38%	0.18%
60	1.2%	1.86%	0.63%	0.26%	0.35%	0.17%
59	1.09%	1.69%	0.58%	0.23%	0.32%	0.15%
58	0.98%	1.48%	0.54%	0.21%	0.29%	0.14%
57	0.91%	1.39%	0.47%	0.19%	0.26%	0.13%
56	0.86%	1.34%	0.42%	0.17%	0.23%	0.12%
55	0.83%	1.26%	0.42%	0.15%	0.2%	0.11%
54	0.78%	1.16%	0.42%	0.13%	0.18%	0.1%
53	0.7%	1.06%	0.36%	0.12%	0.15%	0.09%
52	0.65%	0.97%	0.34%	0.11%	0.14%	0.08%
51	0.61%	0.88%	0.34%	0.1%	0.12%	0.07%
50	0.56%	0.83%	0.29%	0.09%	0.11%	0.07%
49	0.53%	0.78%	0.27%	0.08%	0.1%	0.06%
48	0.51%	0.74%	0.27%	0.07%	0.09%	0.06%
47	0.48%	0.69%	0.25%	0.06%	0.08%	0.05%
46	0.44%	0.64%	0.23%	0.06%	0.07%	0.05%
45	0.41%	0.6%	0.2%	0.05%	0.06%	0.04%
44	0.38%	0.54%	0.2%	0.05%	0.05%	0.04%
43	0.35%	0.5%	0.19%	0.04%	0.05%	0.04%
42	0.33%	0.49%	0.16%	0.04%	0.04%	0.03%
41	0.31%	0.47%	0.13%	0.03%	0.04%	0.03%
40	0.28%	0.42%	0.13%	0.03%	0.03%	0.03%
39	0.28%	0.41%	0.13%	0.03%	0.03%	0.03%
38	0.27%	0.4%	0.12%	0.03%	0.03%	0.02%
37	0.23%	0.33%	0.11%	0.02%	0.03%	0.02%
36	0.21%	0.3%	0.1%	0.02%	0.02%	0.02%
35	0.2%	0.29%	0.09%	0.02%	0.02%	0.02%
34	0.19%	0.28%	0.09%	0.02%	0.02%	0.02%
33	0.18%	0.26%	0.09%	0.02%	0.02%	0.02%
32	0.15%	0.23%	0.06%	0.02%	0.02%	0.02%
31	0.13%	0.2%	0.06%	0.02%	0.02%	0.02%
30	0.13%	0.19%	0.06%	0.02%	0.02%	0.02%
29	0.13%	0.2%	0.05%	0.02%	0.02%	0.02%
28	0.11%	0.18%	0.04%	0.02%	0.02%	0.01%
27	0.09%	0.14%	0.04%	0.02%	0.02%	0.01%
26	0.08%	0.13%	0.04%	0.02%	0.02%	0.01%
25	0.08%	0.12%	0.03%	0.02%	0.02%	0.01%
24	0.07%	0.11%	0.03%	0.02%	0.02%	0.01%
23	0.07%	0.1%	0.03%	0.02%	0.02%	0.01%
22	0.06%	0.09%	0.03%	0.01%	0.02%	0.01%
21	0.06%	0.08%	0.03%	0.01%	0.02%	0.01%
20	0.06%	0.08%	0.03%	0.01%	0.02%	0.01%
19	0.06%	0.09%	0.03%	0.01%	0.02%	0.01%
18	0.05%	0.07%	0.03%	0.01%	0.01%	0.009%
17	0.03%	0.04%	0.02%	0.01%	0.01%	0.008%
16	0.03%	0.05%	0.02%	0.009%	0.01%	0.007%
15	0.03%	0.04%	0.02%	0.008%	0.009%	0.006%
14	0.03%	0.03%	0.02%	0.007%	0.008%	0.006%
13	0.02%	0.02%	0.02%	0.006%	0.007%	0.005%
12	0.01%	0.02%	0.01%	0.005%	0.006%	0.005%
11	0.01%	0.02%	0.008%	0.005%	0.006%	0.005%
10	0.01%	0.01%	0.01%	0.005%	0.006%	0.005%
9	0.01%	0.009%	0.01%	0.006%	0.006%	0.005%
8	0.01%	0.01%	0.01%	0.006%	0.007%	0.005%
7	0.01%	0.01%	0.01%	0.007%	0.007%	0.006%
6	0.01%	0.009%	0.01%	0.008%	0.008%	0.007%
5	0.009%	0.009%	0.01%	0.009%	0.009%	0.009%
4	0.01%	0.01%	0.01%	0.01%	0.01%	0.01%
3	0.01%	0.01%	0.01%	0.01%	0.01%	0.01%
2	0.01%	0.01%	0.01%	0.02%	0.01%	0.02%
1	0.03%	0.02%	0.03%	0.02%	0.01%	0.03%
0	0.29%	0.3%	0.28%	0.37%	0.39%	0.35%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 0.37% in Monaco, 0.13% vs 0.02% at age 30, 1.2% vs 0.26% at 60, and 5.41% vs 3.07% at 80.

Death rate by age in Lithuania vs Monaco

Chart Table

Lithuania

Male

Female

Monaco

Male

Female

1x

Age	Death rate
	Lithuania			Monaco
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	2,061	1,279	2,888
99	485	230.3	706	2,366	1,666	3,112
98	690	333	1,000	2,737	2,047	3,458
97	945	465	1,362	3,088	2,442	3,761
96	1,240	624	1,777	3,410	2,834	4,012
95	1,559	812	2,213	3,692	3,205	4,204
94	1,933	1,074	2,695	3,925	3,540	4,333
93	2,322	1,356	3,186	4,101	3,824	4,393
92	2,605	1,503	3,588	4,209	4,045	4,384
91	2,822	1,627	3,887	4,255	4,200	4,311
90	3,119	1,989	4,148	4,245	4,288	4,187
89	3,315	2,179	4,361	4,188	4,314	4,027
88	3,420	2,242	4,500	4,096	4,284	3,846
87	3,556	2,501	4,539	3,958	4,205	3,654
86	3,561	2,606	4,462	3,797	4,083	3,454
85	3,442	2,562	4,282	3,611	3,925	3,245
84	3,319	2,605	4,028	3,402	3,735	3,024
83	3,194	2,688	3,733	3,174	3,516	2,787
82	3,036	2,683	3,441	2,921	3,276	2,537
81	2,903	2,691	3,191	2,665	3,024	2,281
80	2,761	2,665	2,945	2,413	2,769	2,028
79	2,559	2,550	2,657	2,173	2,523	1,789
78	2,410	2,551	2,381	1,954	2,291	1,573
77	2,321	2,611	2,161	1,753	2,079	1,381
76	2,234	2,586	2,009	1,575	1,886	1,215
75	2,134	2,512	1,873	1,418	1,713	1,072
74	2,030	2,466	1,712	1,271	1,556	948
73	1,953	2,423	1,589	1,140	1,412	840
72	1,881	2,380	1,473	1,024	1,279	744
71	1,785	2,341	1,322	914	1,154	658
70	1,696	2,284	1,202	815	1,038	580
69	1,642	2,203	1,159	725	928	509
68	1,590	2,161	1,081	639	826	444
67	1,542	2,140	1,004	561	731	385
66	1,507	2,091	975	491	646	334
65	1,429	2,002	900	431	571	289.1
64	1,330	1,887	809	381	506	251.9
63	1,248	1,765	754	338	452	221.7
62	1,177	1,655	711	302	407	197.5
61	1,106	1,569	648	272.3	370	178.2
60	1,028	1,481	582	249.4	337	162.6
59	942	1,363	535	228.4	307	149.4
58	857	1,218	506	206.5	278.4	137.5
57	800	1,155	445	185.8	249.9	126.3
56	766	1,132	394	166.8	222	115.7
55	742	1,077	398	148.4	195.7	105.6
54	702	1,001	394	132.4	171.9	96.2
53	639	928	338	117.9	151.3	87.8
52	596	853	327	105.8	133.9	80.5
51	560	787	324	95.9	119.3	74
50	518	741	280.7	86.1	106.8	68.2
49	493	708	260	77.9	95.8	62.9
48	475	674	256.5	70.8	85.7	57.9
47	448	630	244.5	63.7	76.2	53
46	417	589	222.4	57.1	67.3	48.3
45	391	555	199.3	50.9	59.2	43.9
44	361	507	192	45.5	51.9	39.8
43	336	467	183.2	40.8	45.7	36.2
42	320	461	155.8	36.7	40.4	33.1
41	301	446	132.1	33.3	36.1	30.5
40	275.1	398	130.8	30.4	32.6	28.2
39	271.3	396	125	28	29.7	26.3
38	262.3	387	115.9	26	27.3	24.6
37	224.5	322	110.3	24.2	25.3	23
36	201.3	287.8	100.8	22.6	23.5	21.6
35	194	281.1	93.1	21.2	22.1	20.3
34	186.8	269.6	92.7	20	20.8	19.1
33	172.2	250.4	84.7	18.9	19.7	18.1
32	148.5	225.2	62.9	18	18.7	17.1
31	130.3	194.6	59.1	17.2	18	16.3
30	123.6	182.3	59.6	16.6	17.4	15.7
29	123.7	194.9	46.9	16.1	17	15
28	109.5	173.6	40.2	15.7	16.8	14.5
27	90.6	138.4	39.5	15.4	16.8	13.9
26	82.1	123.9	38.2	15.3	17	13.4
25	77	118.5	33.7	15.1	17.3	12.9
24	67.9	107	27.3	15.1	17.6	12.5
23	64.5	99.2	28.2	15	17.9	11.9
22	62.3	92.2	31.2	14.8	18.1	11.4
21	56.7	82.6	30	14.5	17.9	10.9
20	56.2	83.3	28.3	13.9	17.4	10.2
19	62.7	94.3	30	13	16.3	9.55
18	50.7	70.8	29.8	11.8	14.7	8.77
17	34.2	43.8	24.1	10.4	12.8	7.94
16	30.9	45.9	15.2	9.02	10.9	7.11
15	29.1	40.8	16.8	7.74	9.1	6.34
14	25	28.9	20.8	6.68	7.66	5.68
13	19.1	21.8	16.4	5.91	6.64	5.17
12	14.3	18.6	9.7	5.42	6.01	4.83
11	12.2	15.7	8.41	5.2	5.75	4.65
10	10.5	10.8	10.2	5.23	5.78	4.66
9	10.3	9.11	11.5	5.5	6.09	4.88
8	12	13.2	10.7	5.99	6.63	5.33
7	11.3	12	10.7	6.73	7.36	6.09
6	9.63	8.66	10.7	7.75	8.24	7.23
5	9.42	9.23	9.62	9.08	9.24	8.91
4	11.3	12.2	10.4	10.8	10.3	11.3
3	13.8	14.4	13.1	13	11.5	14.6
2	13.2	14.4	11.8	15.9	12.9	19.1
1	25.4	24.3	26.4	19.6	14.3	25.2
0	291.9	305	278.5	368	386	350

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 91 in Monaco. The median age of death is 80.4 in Lithuania and 88.7 in Monaco, 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 Monaco more than their death rates.

Life expectancy in other countries

+ -

1x