Life Expectancy in Lithuania vs Maldives (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Maldives

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Maldives
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.1	101.9	102.2
99	101.1	100.9	101.1	101.2	101	101.3
98	100.2	100.1	100.2	100.4	100.2	100.5
97	99.3	99.2	99.3	99.5	99.3	99.7
96	98.5	98.4	98.5	98.7	98.5	98.9
95	97.7	97.6	97.7	97.9	97.7	98.1
94	96.9	96.7	96.9	97.1	96.8	97.3
93	96.1	95.9	96.1	96.3	96.1	96.6
92	95.4	95.2	95.4	95.6	95.3	95.8
91	94.6	94.4	94.7	94.8	94.5	95.1
90	94	93.7	94	94.1	93.8	94.4
89	93.3	93	93.4	93.4	93	93.8
88	92.6	92.3	92.7	92.7	92.3	93.1
87	92	91.6	92.1	92.1	91.6	92.5
86	91.4	90.9	91.6	91.5	91	91.9
85	90.8	90.3	91	90.9	90.4	91.4
84	90.3	89.7	90.5	90.3	89.8	90.9
83	89.8	89.1	90	89.8	89.2	90.3
82	89.3	88.5	89.6	89.3	88.7	89.9
81	88.8	88	89.2	88.8	88.2	89.4
80	88.4	87.4	88.8	88.3	87.7	89
79	88	86.9	88.4	87.9	87.3	88.6
78	87.5	86.4	88.1	87.5	86.8	88.3
77	87.1	85.8	87.8	87.1	86.4	87.9
76	86.8	85.3	87.5	86.8	86	87.6
75	86.4	84.8	87.2	86.4	85.6	87.3
74	86	84.3	86.9	86.1	85.3	87
73	85.6	83.8	86.6	85.8	85	86.8
72	85.3	83.3	86.4	85.5	84.7	86.6
71	84.9	82.9	86.1	85.3	84.4	86.4
70	84.6	82.4	85.9	85.1	84.1	86.2
69	84.2	81.9	85.7	84.8	83.9	86
68	83.9	81.5	85.5	84.6	83.7	85.8
67	83.6	81	85.3	84.4	83.4	85.7
66	83.3	80.6	85.1	84.3	83.2	85.5
65	82.9	80.2	84.9	84.1	83.1	85.4
64	82.6	79.8	84.7	84	82.9	85.3
63	82.3	79.4	84.5	83.8	82.7	85.1
62	82.1	79	84.3	83.7	82.6	85
61	81.8	78.7	84.2	83.6	82.5	84.9
60	81.5	78.3	84	83.5	82.4	84.9
59	81.3	78	83.9	83.4	82.3	84.8
58	81.1	77.7	83.7	83.3	82.2	84.7
57	80.9	77.4	83.6	83.3	82.1	84.6
56	80.7	77.2	83.5	83.2	82	84.6
55	80.4	76.9	83.4	83.1	82	84.5
54	80.2	76.6	83.3	83.1	81.9	84.5
53	80.1	76.4	83.2	83	81.9	84.4
52	79.9	76.2	83.1	83	81.8	84.4
51	79.7	75.9	82.9	82.9	81.8	84.4
50	79.5	75.7	82.9	82.9	81.7	84.3
49	79.4	75.5	82.8	82.8	81.7	84.3
48	79.2	75.3	82.7	82.8	81.6	84.3
47	79.1	75.1	82.6	82.8	81.6	84.2
46	78.9	74.9	82.5	82.7	81.5	84.2
45	78.8	74.8	82.4	82.7	81.5	84.2
44	78.7	74.6	82.3	82.7	81.5	84.2
43	78.5	74.4	82.3	82.7	81.5	84.1
42	78.4	74.3	82.2	82.6	81.4	84.1
41	78.3	74.1	82.2	82.6	81.4	84.1
40	78.2	74	82.1	82.6	81.4	84.1
39	78.1	73.9	82	82.6	81.4	84.1
38	78	73.7	82	82.6	81.4	84
37	77.9	73.6	81.9	82.5	81.4	84
36	77.8	73.5	81.9	82.5	81.3	84
35	77.7	73.4	81.9	82.5	81.3	84
34	77.6	73.3	81.8	82.5	81.3	84
33	77.6	73.2	81.8	82.5	81.3	84
32	77.5	73.1	81.7	82.5	81.3	84
31	77.4	73	81.7	82.5	81.3	84
30	77.4	72.9	81.7	82.4	81.2	84
29	77.3	72.8	81.7	82.4	81.2	83.9
28	77.3	72.7	81.6	82.4	81.2	83.9
27	77.2	72.7	81.6	82.4	81.2	83.9
26	77.2	72.6	81.6	82.4	81.2	83.9
25	77.1	72.6	81.6	82.4	81.2	83.9
24	77.1	72.5	81.6	82.4	81.2	83.9
23	77.1	72.5	81.5	82.3	81.1	83.9
22	77	72.4	81.5	82.3	81.1	83.9
21	77	72.4	81.5	82.3	81.1	83.9
20	77	72.3	81.5	82.3	81.1	83.8
19	76.9	72.3	81.5	82.3	81.1	83.8
18	76.9	72.2	81.4	82.3	81	83.8
17	76.9	72.2	81.4	82.3	81	83.8
16	76.9	72.2	81.4	82.2	81	83.8
15	76.8	72.2	81.4	82.2	81	83.8
14	76.8	72.2	81.4	82.2	81	83.8
13	76.8	72.1	81.4	82.2	80.9	83.8
12	76.8	72.1	81.4	82.2	80.9	83.8
11	76.8	72.1	81.4	82.2	80.9	83.8
10	76.8	72.1	81.4	82.2	80.9	83.8
9	76.8	72.1	81.4	82.2	80.9	83.7
8	76.8	72.1	81.3	82.2	80.9	83.7
7	76.8	72.1	81.3	82.2	80.9	83.7
6	76.8	72.1	81.3	82.1	80.9	83.7
5	76.8	72.1	81.3	82.1	80.9	83.7
4	76.7	72.1	81.3	82.1	80.9	83.7
3	76.7	72.1	81.3	82.1	80.9	83.7
2	76.7	72	81.3	82.1	80.9	83.7
1	76.7	72	81.3	82.1	80.8	83.6
0	76.5	71.8	81.1	81.7	80.4	83.3

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 82.4 in Maldives, rising to 82.9 and 84.1 at 65, and to 88.4 and 88.3 at 80 — higher than the 76.5 and 81.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Maldives

Male

Female

1x

Age	Survival probability
	Lithuania			Maldives
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	1.34%	0.77%	2.09%
99	1.32%	0.62%	1.92%	2.02%	1.21%	3.08%
98	2.01%	0.95%	2.92%	2.94%	1.84%	4.4%
97	2.95%	1.42%	4.28%	4.16%	2.71%	6.08%
96	4.19%	2.04%	6.06%	5.72%	3.86%	8.16%
95	5.75%	2.85%	8.27%	7.63%	5.32%	10.7%
94	7.68%	3.93%	11%	9.94%	7.15%	13.6%
93	10%	5.28%	14.2%	12.6%	9.36%	16.9%
92	12.6%	6.79%	17.7%	15.8%	12%	20.6%
91	15.4%	8.41%	21.6%	19.2%	15.1%	24.6%
90	18.6%	10.4%	25.8%	23.1%	18.6%	28.8%
89	21.9%	12.6%	30.1%	27.2%	22.4%	33.3%
88	25.3%	14.8%	34.6%	31.5%	26.5%	37.9%
87	28.8%	17.3%	39.2%	36%	30.9%	42.5%
86	32.4%	19.9%	43.6%	40.5%	35.3%	47.1%
85	35.8%	22.5%	47.9%	45%	39.7%	51.5%
84	39.2%	25.1%	51.9%	49.4%	44.1%	55.8%
83	42.4%	27.8%	55.7%	53.6%	48.4%	59.9%
82	45.4%	30.5%	59.1%	57.6%	52.6%	63.8%
81	48.3%	33.2%	62.3%	61.4%	56.5%	67.4%
80	51.1%	35.8%	65.3%	65%	60.3%	70.6%
79	53.6%	38.4%	67.9%	68.4%	63.9%	73.6%
78	56%	40.9%	70.3%	71.4%	67.2%	76.4%
77	58.3%	43.5%	72.5%	74.3%	70.4%	78.8%
76	60.6%	46.1%	74.5%	76.8%	73.3%	81.1%
75	62.7%	48.6%	76.3%	79.2%	75.9%	83.1%
74	64.7%	51.1%	78.1%	81.3%	78.4%	84.9%
73	66.7%	53.5%	79.6%	83.2%	80.6%	86.5%
72	68.6%	55.9%	81.1%	85%	82.6%	87.9%
71	70.4%	58.2%	82.4%	86.5%	84.4%	89.2%
70	72.1%	60.5%	83.6%	87.9%	86%	90.3%
69	73.7%	62.7%	84.8%	89.2%	87.5%	91.3%
68	75.3%	64.9%	85.9%	90.3%	88.8%	92.2%
67	76.8%	67%	86.9%	91.3%	90%	92.9%
66	78.3%	69.1%	87.9%	92.2%	91.1%	93.6%
65	79.8%	71.1%	88.8%	93%	92%	94.3%
64	81.1%	73%	89.6%	93.7%	92.8%	94.8%
63	82.3%	74.8%	90.3%	94.3%	93.5%	95.3%
62	83.5%	76.4%	91%	94.8%	94.2%	95.8%
61	84.6%	78%	91.7%	95.3%	94.7%	96.1%
60	85.7%	79.5%	92.3%	95.7%	95.2%	96.5%
59	86.6%	80.8%	92.8%	96.1%	95.6%	96.8%
58	87.5%	82.1%	93.3%	96.4%	96%	97%
57	88.3%	83.2%	93.7%	96.7%	96.3%	97.3%
56	89%	84.4%	94.1%	96.9%	96.6%	97.5%
55	89.8%	85.4%	94.5%	97.2%	96.8%	97.7%
54	90.5%	86.4%	94.9%	97.4%	97%	97.8%
53	91.1%	87.4%	95.3%	97.5%	97.2%	98%
52	91.7%	88.2%	95.6%	97.7%	97.4%	98.1%
51	92.3%	89%	95.9%	97.8%	97.5%	98.2%
50	92.8%	89.7%	96.2%	97.9%	97.7%	98.3%
49	93.3%	90.4%	96.5%	98%	97.8%	98.4%
48	93.7%	91.1%	96.7%	98.1%	97.9%	98.4%
47	94.2%	91.8%	97%	98.2%	98.1%	98.5%
46	94.6%	92.3%	97.2%	98.3%	98.2%	98.6%
45	95%	92.9%	97.4%	98.4%	98.3%	98.6%
44	95.4%	93.4%	97.6%	98.5%	98.3%	98.7%
43	95.7%	93.9%	97.8%	98.6%	98.4%	98.8%
42	96%	94.3%	97.9%	98.6%	98.5%	98.8%
41	96.3%	94.8%	98%	98.7%	98.5%	98.9%
40	96.6%	95.2%	98.2%	98.7%	98.5%	98.9%
39	96.9%	95.6%	98.3%	98.7%	98.6%	99%
38	97.1%	96%	98.4%	98.8%	98.6%	99%
37	97.4%	96.3%	98.5%	98.8%	98.7%	99%
36	97.6%	96.6%	98.6%	98.8%	98.7%	99%
35	97.8%	96.9%	98.7%	98.9%	98.7%	99.1%
34	97.9%	97.1%	98.8%	98.9%	98.8%	99.1%
33	98.1%	97.4%	98.9%	98.9%	98.8%	99.1%
32	98.3%	97.6%	99%	99%	98.8%	99.1%
31	98.4%	97.8%	99%	99%	98.8%	99.2%
30	98.5%	98%	99.1%	99%	98.9%	99.2%
29	98.6%	98.2%	99.1%	99%	98.9%	99.2%
28	98.7%	98.3%	99.2%	99.1%	98.9%	99.2%
27	98.8%	98.5%	99.2%	99.1%	99%	99.2%
26	98.9%	98.6%	99.2%	99.1%	99%	99.3%
25	99%	98.7%	99.3%	99.1%	99%	99.3%
24	99.1%	98.8%	99.3%	99.2%	99%	99.3%
23	99.1%	98.9%	99.3%	99.2%	99.1%	99.3%
22	99.2%	99%	99.4%	99.2%	99.1%	99.3%
21	99.2%	99.1%	99.4%	99.2%	99.1%	99.3%
20	99.3%	99.2%	99.4%	99.3%	99.2%	99.4%
19	99.4%	99.3%	99.5%	99.3%	99.2%	99.4%
18	99.4%	99.4%	99.5%	99.3%	99.2%	99.4%
17	99.5%	99.4%	99.5%	99.3%	99.3%	99.4%
16	99.5%	99.4%	99.5%	99.4%	99.3%	99.4%
15	99.5%	99.5%	99.5%	99.4%	99.3%	99.5%
14	99.5%	99.5%	99.6%	99.4%	99.4%	99.5%
13	99.6%	99.5%	99.6%	99.4%	99.4%	99.5%
12	99.6%	99.6%	99.6%	99.4%	99.4%	99.5%
11	99.6%	99.6%	99.6%	99.4%	99.4%	99.5%
10	99.6%	99.6%	99.6%	99.5%	99.4%	99.5%
9	99.6%	99.6%	99.6%	99.5%	99.4%	99.5%
8	99.6%	99.6%	99.6%	99.5%	99.4%	99.5%
7	99.6%	99.6%	99.6%	99.5%	99.4%	99.5%
6	99.6%	99.6%	99.7%	99.5%	99.4%	99.5%
5	99.6%	99.6%	99.7%	99.5%	99.4%	99.6%
4	99.7%	99.6%	99.7%	99.5%	99.5%	99.6%
3	99.7%	99.7%	99.7%	99.5%	99.5%	99.6%
2	99.7%	99.7%	99.7%	99.6%	99.5%	99.6%
1	99.7%	99.7%	99.7%	99.6%	99.5%	99.6%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 95.7% in Maldives are expected to live past 60, 72.1% and 87.9% past 70, 51.1% and 65% past 80, and only 18.6% and 23.1% 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

Maldives

Male

Female

1x

Age	Probability of dying
	Lithuania			Maldives
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	35.6%	38.6%	34.4%
99	36.9%	37.2%	36.8%	33.5%	36.4%	32.2%
98	34.4%	35%	34.3%	31.4%	34.2%	29.9%
97	32%	32.8%	31.8%	29.3%	32%	27.7%
96	29.6%	30.6%	29.3%	27.2%	29.8%	25.5%
95	27.1%	28.5%	26.8%	25.1%	27.6%	23.4%
94	25.2%	27.3%	24.6%	23.2%	25.5%	21.5%
93	23.2%	25.7%	22.5%	21.4%	23.6%	19.6%
92	20.7%	22.1%	20.2%	19.7%	22%	17.9%
91	18.3%	19.3%	18%	18.2%	20.4%	16.3%
90	16.8%	19.1%	16.1%	16.6%	18.8%	14.8%
89	15.2%	17.3%	14.5%	15.1%	17.1%	13.4%
88	13.5%	15.1%	13%	13.7%	15.6%	12.1%
87	12.3%	14.4%	11.6%	12.4%	14%	10.9%
86	11%	13.1%	10.2%	11.1%	12.6%	9.74%
85	9.6%	11.4%	8.93%	9.95%	11.2%	8.69%
84	8.47%	10.4%	7.75%	8.88%	9.96%	7.72%
83	7.54%	9.67%	6.7%	7.89%	8.85%	6.84%
82	6.69%	8.81%	5.82%	7.01%	7.88%	6.03%
81	6.01%	8.11%	5.12%	6.22%	7.02%	5.3%
80	5.41%	7.44%	4.51%	5.5%	6.26%	4.65%
79	4.77%	6.65%	3.91%	4.87%	5.6%	4.08%
78	4.3%	6.23%	3.39%	4.31%	5%	3.57%
77	3.98%	6%	2.98%	3.8%	4.45%	3.14%
76	3.69%	5.61%	2.7%	3.36%	3.95%	2.75%
75	3.4%	5.16%	2.45%	2.96%	3.5%	2.41%
74	3.14%	4.82%	2.19%	2.62%	3.1%	2.12%
73	2.93%	4.53%	1.99%	2.31%	2.74%	1.86%
72	2.74%	4.26%	1.82%	2.04%	2.42%	1.62%
71	2.54%	4.02%	1.6%	1.8%	2.14%	1.42%
70	2.35%	3.77%	1.44%	1.59%	1.9%	1.24%
69	2.23%	3.51%	1.37%	1.4%	1.69%	1.08%
68	2.11%	3.33%	1.26%	1.24%	1.5%	0.96%
67	2.01%	3.19%	1.16%	1.1%	1.33%	0.85%
66	1.92%	3.03%	1.11%	0.97%	1.17%	0.75%
65	1.79%	2.81%	1.01%	0.85%	1.02%	0.66%
64	1.64%	2.58%	0.9%	0.74%	0.88%	0.58%
63	1.52%	2.36%	0.83%	0.65%	0.77%	0.51%
62	1.41%	2.17%	0.78%	0.57%	0.67%	0.45%
61	1.31%	2.01%	0.71%	0.5%	0.58%	0.4%
60	1.2%	1.86%	0.63%	0.44%	0.5%	0.35%
59	1.09%	1.69%	0.58%	0.38%	0.44%	0.31%
58	0.98%	1.48%	0.54%	0.33%	0.38%	0.28%
57	0.91%	1.39%	0.47%	0.29%	0.33%	0.24%
56	0.86%	1.34%	0.42%	0.26%	0.29%	0.21%
55	0.83%	1.26%	0.42%	0.23%	0.25%	0.19%
54	0.78%	1.16%	0.42%	0.2%	0.22%	0.17%
53	0.7%	1.06%	0.36%	0.17%	0.19%	0.14%
52	0.65%	0.97%	0.34%	0.15%	0.16%	0.12%
51	0.61%	0.88%	0.34%	0.13%	0.15%	0.1%
50	0.56%	0.83%	0.29%	0.13%	0.15%	0.09%
49	0.53%	0.78%	0.27%	0.12%	0.14%	0.08%
48	0.51%	0.74%	0.27%	0.12%	0.14%	0.08%
47	0.48%	0.69%	0.25%	0.11%	0.12%	0.07%
46	0.44%	0.64%	0.23%	0.1%	0.11%	0.07%
45	0.41%	0.6%	0.2%	0.08%	0.09%	0.07%
44	0.38%	0.54%	0.2%	0.07%	0.08%	0.06%
43	0.35%	0.5%	0.19%	0.06%	0.06%	0.06%
42	0.33%	0.49%	0.16%	0.05%	0.05%	0.05%
41	0.31%	0.47%	0.13%	0.05%	0.05%	0.05%
40	0.28%	0.42%	0.13%	0.04%	0.04%	0.04%
39	0.28%	0.41%	0.13%	0.04%	0.04%	0.04%
38	0.27%	0.4%	0.12%	0.04%	0.04%	0.04%
37	0.23%	0.33%	0.11%	0.03%	0.04%	0.03%
36	0.21%	0.3%	0.1%	0.03%	0.03%	0.03%
35	0.2%	0.29%	0.09%	0.03%	0.03%	0.02%
34	0.19%	0.28%	0.09%	0.03%	0.03%	0.02%
33	0.18%	0.26%	0.09%	0.03%	0.03%	0.02%
32	0.15%	0.23%	0.06%	0.03%	0.03%	0.02%
31	0.13%	0.2%	0.06%	0.03%	0.03%	0.02%
30	0.13%	0.19%	0.06%	0.03%	0.03%	0.02%
29	0.13%	0.2%	0.05%	0.03%	0.03%	0.02%
28	0.11%	0.18%	0.04%	0.03%	0.03%	0.02%
27	0.09%	0.14%	0.04%	0.03%	0.03%	0.02%
26	0.08%	0.13%	0.04%	0.03%	0.03%	0.02%
25	0.08%	0.12%	0.03%	0.02%	0.03%	0.02%
24	0.07%	0.11%	0.03%	0.02%	0.03%	0.02%
23	0.07%	0.1%	0.03%	0.02%	0.03%	0.02%
22	0.06%	0.09%	0.03%	0.02%	0.03%	0.02%
21	0.06%	0.08%	0.03%	0.02%	0.03%	0.02%
20	0.06%	0.08%	0.03%	0.03%	0.03%	0.02%
19	0.06%	0.09%	0.03%	0.03%	0.04%	0.02%
18	0.05%	0.07%	0.03%	0.03%	0.04%	0.02%
17	0.03%	0.04%	0.02%	0.03%	0.04%	0.02%
16	0.03%	0.05%	0.02%	0.03%	0.03%	0.02%
15	0.03%	0.04%	0.02%	0.02%	0.03%	0.01%
14	0.03%	0.03%	0.02%	0.02%	0.03%	0.01%
13	0.02%	0.02%	0.02%	0.02%	0.02%	0.01%
12	0.01%	0.02%	0.01%	0.01%	0.02%	0.009%
11	0.01%	0.02%	0.008%	0.01%	0.01%	0.008%
10	0.01%	0.01%	0.01%	0.009%	0.01%	0.009%
9	0.01%	0.009%	0.01%	0.008%	0.008%	0.009%
8	0.01%	0.01%	0.01%	0.008%	0.006%	0.01%
7	0.01%	0.01%	0.01%	0.009%	0.006%	0.01%
6	0.01%	0.009%	0.01%	0.01%	0.006%	0.01%
5	0.009%	0.009%	0.01%	0.01%	0.008%	0.02%
4	0.01%	0.01%	0.01%	0.01%	0.01%	0.02%
3	0.01%	0.01%	0.01%	0.02%	0.02%	0.02%
2	0.01%	0.01%	0.01%	0.02%	0.02%	0.02%
1	0.03%	0.02%	0.03%	0.03%	0.04%	0.02%
0	0.29%	0.3%	0.28%	0.41%	0.47%	0.36%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 0.41% in Maldives, 0.13% vs 0.03% at age 30, 1.2% vs 0.44% at 60, and 5.41% vs 5.5% at 80.

Death rate by age in Lithuania vs Maldives

Chart Table

Lithuania

Male

Female

Maldives

Male

Female

1x

Age	Death rate
	Lithuania			Maldives
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	325	138.2	585
99	485	230.3	706	677	441	994
98	690	333	1,000	924	629	1,317
97	945	465	1,362	1,219	866	1,683
96	1,240	624	1,777	1,555	1,150	2,080
95	1,559	812	2,213	1,918	1,469	2,493
94	1,933	1,074	2,695	2,305	1,824	2,913
93	2,322	1,356	3,186	2,704	2,213	3,314
92	2,605	1,503	3,588	3,109	2,641	3,680
91	2,822	1,627	3,887	3,495	3,081	3,999
90	3,119	1,989	4,148	3,834	3,482	4,262
89	3,315	2,179	4,361	4,117	3,840	4,455
88	3,420	2,242	4,500	4,335	4,131	4,574
87	3,556	2,501	4,539	4,464	4,327	4,616
86	3,561	2,606	4,462	4,507	4,430	4,581
85	3,442	2,562	4,282	4,475	4,448	4,476
84	3,319	2,605	4,028	4,381	4,394	4,313
83	3,194	2,688	3,733	4,230	4,285	4,099
82	3,036	2,683	3,441	4,039	4,139	3,847
81	2,903	2,691	3,191	3,819	3,968	3,571
80	2,761	2,665	2,945	3,577	3,777	3,283
79	2,559	2,550	2,657	3,332	3,578	3,002
78	2,410	2,551	2,381	3,077	3,363	2,730
77	2,321	2,611	2,161	2,824	3,134	2,472
76	2,234	2,586	2,009	2,578	2,896	2,230
75	2,134	2,512	1,873	2,342	2,656	2,004
74	2,030	2,466	1,712	2,128	2,426	1,798
73	1,953	2,423	1,589	1,925	2,206	1,606
72	1,881	2,380	1,473	1,734	2,000	1,427
71	1,785	2,341	1,322	1,557	1,809	1,264
70	1,696	2,284	1,202	1,394	1,633	1,117
69	1,642	2,203	1,159	1,250	1,475	990
68	1,590	2,161	1,081	1,120	1,328	880
67	1,542	2,140	1,004	1,004	1,193	786
66	1,507	2,091	975	898	1,065	704
65	1,429	2,002	900	792	937	625
64	1,330	1,887	809	695	819	553
63	1,248	1,765	754	612	718	490
62	1,177	1,655	711	539	629	434
61	1,106	1,569	648	474	549	384
60	1,028	1,481	582	417	480	340
59	942	1,363	535	367	420	301
58	857	1,218	506	323	367	267.1
57	800	1,155	445	283.5	319	236
56	766	1,132	394	249	278.5	208.9
55	742	1,077	398	219.5	243.4	186
54	702	1,001	394	191.4	211	163.2
53	639	928	338	163.3	180.4	137.9
52	596	853	327	143.2	160.2	116.9
51	560	787	324	130.8	149.2	101.3
50	518	741	280.7	123.4	143.4	89.9
49	493	708	260	118.4	139.1	81.8
48	475	674	256.5	113.1	132.9	76.1
47	448	630	244.5	104.9	121.9	71.9
46	417	589	222.4	94.2	107	68.5
45	391	555	199.3	82.3	90.6	65.4
44	361	507	192	71.1	75.4	62.1
43	336	467	183.2	61.4	62.8	58.5
42	320	461	155.8	53.8	53.7	54.1
41	301	446	132.1	47.4	46.5	49.3
40	275.1	398	130.8	42.6	41.8	44.3
39	271.3	396	125	38.8	38.6	39.4
38	262.3	387	115.9	35.9	36.5	34.7
37	224.5	322	110.3	33.6	34.9	30.5
36	201.3	287.8	100.8	31.6	33.7	26.8
35	194	281.1	93.1	29.9	32.5	23.8
34	186.8	269.6	92.7	28.7	31.5	21.7
33	172.2	250.4	84.7	27.9	30.8	20.6
32	148.5	225.2	62.9	27.5	30.4	20.2
31	130.3	194.6	59.1	27.5	30.2	20.6
30	123.6	182.3	59.6	27.6	30.1	21.6
29	123.7	194.9	46.9	27.8	29.9	22.7
28	109.5	173.6	40.2	27.5	29.4	23.3
27	90.6	138.4	39.5	26.7	28.6	22.9
26	82.1	123.9	38.2	25.3	27.6	21.1
25	77	118.5	33.7	23.6	26.6	18.8
24	67.9	107	27.3	22.2	26	16.8
23	64.5	99.2	28.2	21.5	26	15.5
22	62.3	92.2	31.2	21.7	26.9	15.2
21	56.7	82.6	30	22.8	28.9	15.8
20	56.2	83.3	28.3	24.8	31.7	17
19	62.7	94.3	30	27.1	34.8	18.4
18	50.7	70.8	29.8	28.5	36.7	19.2
17	34.2	43.8	24.1	28.3	36.4	18.7
16	30.9	45.9	15.2	26	33.8	16.9
15	29.1	40.8	16.8	22.8	29.9	14.4
14	25	28.9	20.8	19.2	25.4	12
13	19.1	21.8	16.4	15.9	20.8	10.2
12	14.3	18.6	9.7	13	16.4	8.97
11	12.2	15.7	8.41	10.6	12.5	8.43
10	10.5	10.8	10.2	9.11	9.6	8.55
9	10.3	9.11	11.5	8.4	7.62	9.27
8	12	13.2	10.7	8.32	6.36	10.5
7	11.3	12	10.7	8.86	5.9	12.2
6	9.63	8.66	10.7	10	6.46	14
5	9.42	9.23	9.62	11.9	8.22	15.9
4	11.3	12.2	10.4	14.4	11.3	17.7
3	13.8	14.4	13.1	17.8	16.2	19.4
2	13.2	14.4	11.8	23	24.4	21.4
1	25.4	24.3	26.4	31.1	37.9	24.1
0	291.9	305	278.5	412	465	356

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 86 in Maldives. The median age of death is 80.4 in Lithuania and 83.8 in Maldives, 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 Maldives more than their death rates.

Life expectancy in other countries

+ -

1x