Life Expectancy in Lithuania vs Mali (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Lithuania vs Mali: 77.2 years vs 70.1 at 30, 82.8 vs 77.3 at 65, 88.3 vs 84.7 at 80 — significantly higher than the 76.3 vs 60.9 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Lithuania and Mali.

Table

Current age, years	Total life expectancy, years
	Lithuania			Mali
	Average	Male	Female	Average	Male	Female
0	76.3	71.6	80.9	60.9	59.5	62.4
1	76.6	71.8	81.2	64.7	63.5	65.9
2	76.6	71.9	81.2	65.5	64.4	66.6
3	76.6	71.9	81.2	66.1	65.1	67.2
4	76.6	71.9	81.2	66.5	65.5	67.7
5	76.6	71.9	81.2	66.9	65.8	68
6	76.6	71.9	81.2	67.1	66	68.2
7	76.6	71.9	81.2	67.3	66.1	68.4
8	76.6	71.9	81.2	67.4	66.3	68.6
9	76.6	71.9	81.2	67.5	66.4	68.7
10	76.6	71.9	81.2	67.6	66.5	68.8
11	76.6	71.9	81.3	67.7	66.5	68.9
12	76.7	71.9	81.3	67.8	66.6	69
13	76.7	71.9	81.3	67.8	66.7	69
14	76.7	72	81.3	67.9	66.8	69.1
15	76.7	72	81.3	68	66.9	69.2
16	76.7	72	81.3	68.1	67	69.3
17	76.7	72	81.3	68.2	67.1	69.4
18	76.7	72	81.3	68.3	67.2	69.5
19	76.8	72.1	81.4	68.5	67.3	69.7
20	76.8	72.1	81.4	68.6	67.4	69.8
21	76.8	72.2	81.4	68.8	67.6	70
22	76.9	72.2	81.4	68.9	67.8	70.1
23	76.9	72.3	81.4	69.1	67.9	70.2
24	76.9	72.3	81.4	69.2	68.1	70.4
25	77	72.4	81.5	69.4	68.3	70.5
26	77	72.4	81.5	69.5	68.4	70.7
27	77.1	72.5	81.5	69.7	68.6	70.8
28	77.1	72.6	81.5	69.8	68.7	71
29	77.2	72.6	81.5	70	68.9	71.1
30	77.2	72.7	81.6	70.1	69	71.3
31	77.3	72.8	81.6	70.3	69.2	71.4
32	77.4	72.9	81.6	70.4	69.3	71.6
33	77.4	73	81.7	70.6	69.5	71.7
34	77.5	73.1	81.7	70.7	69.7	71.9
35	77.6	73.2	81.7	70.9	69.8	72
36	77.7	73.3	81.8	71	70	72.2
37	77.8	73.4	81.8	71.2	70.1	72.3
38	77.8	73.5	81.9	71.3	70.3	72.4
39	78	73.7	81.9	71.5	70.4	72.6
40	78.1	73.8	82	71.7	70.6	72.7
41	78.2	74	82	71.8	70.8	72.9
42	78.3	74.1	82.1	72	70.9	73
43	78.4	74.3	82.2	72.2	71.1	73.2
44	78.5	74.4	82.2	72.3	71.3	73.4
45	78.7	74.6	82.3	72.5	71.5	73.5
46	78.8	74.8	82.4	72.7	71.7	73.7
47	79	75	82.5	72.8	71.9	73.8
48	79.1	75.2	82.6	73	72.1	74
49	79.3	75.4	82.7	73.2	72.3	74.1
50	79.4	75.6	82.7	73.4	72.5	74.3
51	79.6	75.8	82.8	73.6	72.7	74.5
52	79.8	76	83	73.8	73	74.6
53	79.9	76.2	83.1	74	73.2	74.8
54	80.1	76.5	83.2	74.2	73.5	75
55	80.3	76.7	83.3	74.5	73.7	75.2
56	80.5	77	83.4	74.7	74	75.4
57	80.8	77.3	83.5	75	74.3	75.6
58	81	77.6	83.6	75.2	74.5	75.8
59	81.2	77.9	83.8	75.5	74.8	76.1
60	81.4	78.2	83.9	75.7	75.2	76.3
61	81.7	78.5	84.1	76	75.5	76.6
62	82	78.9	84.2	76.3	75.8	76.8
63	82.3	79.3	84.4	76.7	76.2	77.1
64	82.5	79.7	84.6	77	76.5	77.4
65	82.8	80.1	84.8	77.3	76.9	77.7
66	83.2	80.5	85	77.7	77.3	78.1
67	83.5	80.9	85.2	78.1	77.7	78.4
68	83.8	81.4	85.4	78.5	78.1	78.8
69	84.2	81.8	85.6	78.9	78.5	79.2
70	84.5	82.3	85.8	79.3	79	79.6
71	84.8	82.8	86.1	79.7	79.4	80
72	85.2	83.2	86.3	80.2	79.9	80.4
73	85.6	83.7	86.6	80.7	80.4	80.9
74	85.9	84.2	86.8	81.2	81	81.4
75	86.3	84.7	87.1	81.7	81.5	81.9
76	86.7	85.2	87.4	82.3	82.1	82.5
77	87.1	85.8	87.7	82.9	82.7	83
78	87.5	86.3	88	83.5	83.3	83.6
79	87.9	86.8	88.4	84.1	83.9	84.2
80	88.3	87.3	88.8	84.7	84.6	84.9
81	88.8	87.9	89.1	85.4	85.3	85.5
82	89.3	88.5	89.6	86.1	86	86.2
83	89.7	89.1	90	86.8	86.7	86.9
84	90.3	89.7	90.5	87.6	87.4	87.7
85	90.8	90.3	91	88.3	88.2	88.4
86	91.4	90.9	91.5	89.1	88.9	89.2
87	92	91.6	92.1	89.8	89.7	89.9
88	92.6	92.3	92.7	90.6	90.5	90.7
89	93.3	92.9	93.4	91.4	91.3	91.5
90	93.9	93.7	94	92.3	92.1	92.3
91	94.6	94.4	94.7	93.1	93	93.2
92	95.3	95.1	95.4	94	93.9	94
93	96.1	95.9	96.1	94.9	94.8	94.9
94	96.9	96.7	96.9	95.8	95.7	95.8
95	97.7	97.6	97.7	96.7	96.6	96.7
96	98.5	98.4	98.5	97.6	97.5	97.6
97	99.3	99.2	99.3	98.5	98.4	98.6
98	100.2	100.1	100.2	99.5	99.4	99.5
99	101.1	100.9	101.1	100.4	100.3	100.4
100	102	101.8	102	101.4	101.3	101.4

Odds of living to age in Lithuania vs Mali

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.5% in Lithuania and 67.6% in Mali are expected to survive till at least 60 years old, 71.7% and 50.3% will live to 70 years or older, 50.6% and 21.5% to 80+ years, and 18.2% and 1.98% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Lithuania			Mali
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	94.1%	93.5%	94.7%
2	99.7%	99.7%	99.7%	92.9%	92.2%	93.6%
3	99.7%	99.6%	99.7%	92%	91.3%	92.7%
4	99.6%	99.6%	99.7%	91.4%	90.7%	92.1%
5	99.6%	99.6%	99.6%	90.9%	90.3%	91.6%
6	99.6%	99.6%	99.6%	90.6%	89.9%	91.3%
7	99.6%	99.6%	99.6%	90.3%	89.7%	91%
8	99.6%	99.6%	99.6%	90.1%	89.5%	90.8%
9	99.6%	99.6%	99.6%	90%	89.4%	90.6%
10	99.6%	99.6%	99.6%	89.8%	89.2%	90.4%
11	99.6%	99.6%	99.6%	89.7%	89.1%	90.3%
12	99.6%	99.5%	99.6%	89.6%	89%	90.2%
13	99.5%	99.5%	99.6%	89.4%	88.8%	90%
14	99.5%	99.5%	99.5%	89.3%	88.7%	89.9%
15	99.5%	99.5%	99.5%	89.1%	88.5%	89.8%
16	99.5%	99.4%	99.5%	89%	88.4%	89.6%
17	99.4%	99.4%	99.5%	88.8%	88.2%	89.4%
18	99.4%	99.3%	99.5%	88.6%	88%	89.2%
19	99.4%	99.3%	99.4%	88.4%	87.8%	89%
20	99.3%	99.2%	99.4%	88.1%	87.5%	88.7%
21	99.2%	99.1%	99.4%	87.8%	87.2%	88.5%
22	99.2%	99%	99.4%	87.5%	86.9%	88.2%
23	99.1%	98.9%	99.3%	87.3%	86.6%	87.9%
24	99%	98.8%	99.3%	86.9%	86.3%	87.7%
25	99%	98.7%	99.3%	86.6%	85.9%	87.4%
26	98.9%	98.6%	99.2%	86.3%	85.6%	87.1%
27	98.8%	98.4%	99.2%	86%	85.3%	86.8%
28	98.7%	98.3%	99.2%	85.7%	85%	86.5%
29	98.6%	98.1%	99.1%	85.4%	84.7%	86.2%
30	98.5%	97.9%	99.1%	85.1%	84.3%	85.9%
31	98.4%	97.7%	99%	84.8%	84%	85.6%
32	98.2%	97.6%	98.9%	84.5%	83.7%	85.3%
33	98.1%	97.3%	98.9%	84.1%	83.3%	85%
34	97.9%	97.1%	98.8%	83.8%	83%	84.6%
35	97.7%	96.8%	98.7%	83.4%	82.6%	84.3%
36	97.5%	96.5%	98.6%	83.1%	82.2%	84%
37	97.3%	96.2%	98.5%	82.7%	81.8%	83.6%
38	97.1%	95.9%	98.4%	82.4%	81.4%	83.3%
39	96.8%	95.5%	98.3%	82%	81%	82.9%
40	96.5%	95.1%	98.1%	81.6%	80.6%	82.6%
41	96.3%	94.7%	98%	81.2%	80.2%	82.2%
42	96%	94.2%	97.9%	80.7%	79.7%	81.8%
43	95.6%	93.8%	97.7%	80.3%	79.2%	81.4%
44	95.3%	93.3%	97.5%	79.8%	78.7%	81%
45	94.9%	92.8%	97.3%	79.3%	78.1%	80.5%
46	94.5%	92.2%	97.1%	78.8%	77.5%	80.1%
47	94.1%	91.6%	96.9%	78.3%	76.9%	79.7%
48	93.7%	91%	96.7%	77.7%	76.3%	79.2%
49	93.2%	90.3%	96.4%	77.1%	75.7%	78.7%
50	92.7%	89.6%	96.1%	76.5%	74.9%	78.2%
51	92.2%	88.8%	95.9%	75.9%	74.2%	77.6%
52	91.6%	88%	95.5%	75.2%	73.4%	77%
53	91%	87.2%	95.2%	74.4%	72.5%	76.4%
54	90.3%	86.2%	94.9%	73.6%	71.6%	75.7%
55	89.6%	85.2%	94.5%	72.7%	70.6%	75%
56	88.9%	84.1%	94.1%	71.8%	69.6%	74.2%
57	88.1%	83%	93.7%	70.9%	68.5%	73.4%
58	87.3%	81.8%	93.2%	69.9%	67.4%	72.5%
59	86.4%	80.6%	92.7%	68.8%	66.2%	71.6%
60	85.5%	79.2%	92.2%	67.6%	64.8%	70.6%
61	84.4%	77.7%	91.6%	66.4%	63.4%	69.5%
62	83.3%	76.1%	90.9%	65%	62%	68.3%
63	82.1%	74.4%	90.2%	63.6%	60.4%	66.9%
64	80.9%	72.6%	89.4%	62%	58.7%	65.5%
65	79.5%	70.7%	88.6%	60.3%	56.9%	63.9%
66	78.1%	68.7%	87.7%	58.5%	55.1%	62.2%
67	76.5%	66.6%	86.7%	56.7%	53.1%	60.4%
68	75%	64.4%	85.7%	54.7%	51%	58.5%
69	73.4%	62.2%	84.6%	52.5%	48.9%	56.4%
70	71.7%	60%	83.4%	50.3%	46.6%	54.1%
71	70%	57.7%	82.2%	47.8%	44.1%	51.7%
72	68.2%	55.4%	80.9%	45.3%	41.6%	49.1%
73	66.3%	53%	79.4%	42.5%	38.9%	46.3%
74	64.4%	50.5%	77.8%	39.7%	36.2%	43.4%
75	62.3%	48.1%	76%	36.8%	33.3%	40.3%
76	60.2%	45.5%	74.2%	33.8%	30.4%	37.2%
77	57.9%	42.9%	72.1%	30.7%	27.5%	34%
78	55.6%	40.3%	69.9%	27.6%	24.6%	30.7%
79	53.2%	37.8%	67.6%	24.5%	21.7%	27.5%
80	50.6%	35.2%	64.9%	21.5%	18.9%	24.2%
81	47.8%	32.6%	61.9%	18.6%	16.2%	21%
82	44.9%	29.9%	58.7%	15.8%	13.6%	17.9%
83	41.9%	27.2%	55.3%	13.1%	11.3%	15%
84	38.7%	24.6%	51.5%	10.8%	9.19%	12.4%
85	35.4%	22%	47.5%	8.66%	7.32%	10%
86	31.9%	19.5%	43.2%	6.81%	5.69%	7.94%
87	28.4%	16.9%	38.7%	5.23%	4.32%	6.16%
88	24.9%	14.4%	34.2%	3.91%	3.18%	4.66%
89	21.5%	12.2%	29.7%	2.83%	2.26%	3.42%
90	18.2%	10.1%	25.4%	1.98%	1.55%	2.43%
91	15.1%	8.14%	21.3%	1.34%	1.02%	1.66%
92	12.3%	6.55%	17.4%	0.87%	0.64%	1.1%
93	9.77%	5.09%	13.9%	0.54%	0.39%	0.7%
94	7.49%	3.77%	10.7%	0.33%	0.23%	0.43%
95	5.59%	2.73%	8.08%	0.19%	0.13%	0.25%
96	4.07%	1.95%	5.91%	0.11%	0.07%	0.14%
97	2.86%	1.35%	4.17%	0.06%	0.04%	0.08%
98	1.94%	0.91%	2.84%	0.03%	0.02%	0.04%
99	1.27%	0.59%	1.86%	0.02%	0.009%	0.02%
100	0.8%	0.37%	1.18%	0.008%	0.004%	0.01%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.3% in the birth year in Lithuania and 5.89% in Mali, 0.13% vs 0.38% at age 30, 1.22% vs 1.86% at 60, and 5.47% vs 13.7% at 80.

Below is a graph displaying the probabilities of dying in Lithuania compared to Mali at any given age.

Table

Age	Probability of dying
	Lithuania			Mali
	Average	Male	Female	Average	Male	Female
0	0.3%	0.31%	0.29%	5.89%	6.45%	5.32%
1	0.03%	0.03%	0.03%	1.31%	1.43%	1.19%
2	0.01%	0.01%	0.01%	0.94%	0.98%	0.89%
3	0.01%	0.01%	0.01%	0.67%	0.68%	0.67%
4	0.01%	0.01%	0.01%	0.49%	0.48%	0.51%
5	0.01%	0.009%	0.01%	0.37%	0.35%	0.39%
6	0.01%	0.009%	0.01%	0.28%	0.27%	0.3%
7	0.01%	0.01%	0.01%	0.23%	0.21%	0.24%
8	0.01%	0.01%	0.01%	0.19%	0.18%	0.2%
9	0.01%	0.009%	0.01%	0.16%	0.16%	0.17%
10	0.01%	0.01%	0.01%	0.15%	0.15%	0.15%
11	0.01%	0.02%	0.009%	0.14%	0.14%	0.15%
12	0.01%	0.02%	0.01%	0.14%	0.14%	0.15%
13	0.02%	0.02%	0.02%	0.15%	0.15%	0.15%
14	0.03%	0.03%	0.02%	0.16%	0.16%	0.17%
15	0.03%	0.04%	0.02%	0.18%	0.18%	0.19%
16	0.03%	0.05%	0.02%	0.21%	0.2%	0.21%
17	0.03%	0.04%	0.02%	0.23%	0.23%	0.23%
18	0.05%	0.07%	0.03%	0.26%	0.26%	0.26%
19	0.06%	0.1%	0.03%	0.29%	0.3%	0.27%
20	0.06%	0.09%	0.03%	0.31%	0.33%	0.29%
21	0.06%	0.08%	0.03%	0.33%	0.36%	0.3%
22	0.06%	0.09%	0.03%	0.34%	0.38%	0.3%
23	0.07%	0.1%	0.03%	0.35%	0.38%	0.31%
24	0.07%	0.11%	0.03%	0.35%	0.38%	0.32%
25	0.08%	0.12%	0.03%	0.35%	0.37%	0.33%
26	0.08%	0.13%	0.04%	0.35%	0.37%	0.34%
27	0.09%	0.14%	0.04%	0.36%	0.36%	0.35%
28	0.11%	0.18%	0.04%	0.36%	0.37%	0.35%
29	0.13%	0.2%	0.05%	0.37%	0.38%	0.36%
30	0.13%	0.19%	0.06%	0.38%	0.39%	0.36%
31	0.13%	0.2%	0.06%	0.38%	0.41%	0.36%
32	0.15%	0.23%	0.06%	0.39%	0.42%	0.37%
33	0.18%	0.26%	0.09%	0.4%	0.43%	0.37%
34	0.19%	0.28%	0.09%	0.41%	0.44%	0.38%
35	0.2%	0.29%	0.1%	0.42%	0.45%	0.39%
36	0.21%	0.3%	0.1%	0.43%	0.46%	0.41%
37	0.23%	0.34%	0.11%	0.45%	0.48%	0.42%
38	0.27%	0.41%	0.12%	0.47%	0.5%	0.44%
39	0.28%	0.42%	0.13%	0.49%	0.52%	0.45%
40	0.29%	0.42%	0.13%	0.51%	0.56%	0.47%
41	0.32%	0.48%	0.14%	0.54%	0.59%	0.48%
42	0.34%	0.5%	0.16%	0.56%	0.63%	0.49%
43	0.36%	0.51%	0.19%	0.59%	0.66%	0.51%
44	0.38%	0.55%	0.2%	0.61%	0.7%	0.52%
45	0.42%	0.61%	0.21%	0.64%	0.74%	0.54%
46	0.45%	0.65%	0.23%	0.67%	0.77%	0.56%
47	0.48%	0.7%	0.26%	0.7%	0.82%	0.59%
48	0.51%	0.75%	0.27%	0.75%	0.87%	0.62%
49	0.53%	0.79%	0.27%	0.8%	0.93%	0.67%
50	0.56%	0.84%	0.3%	0.86%	1.01%	0.72%
51	0.62%	0.9%	0.34%	0.93%	1.09%	0.78%
52	0.66%	0.98%	0.35%	1%	1.17%	0.83%
53	0.71%	1.08%	0.36%	1.08%	1.26%	0.89%
54	0.79%	1.18%	0.42%	1.15%	1.35%	0.95%
55	0.84%	1.28%	0.43%	1.23%	1.45%	1.01%
56	0.87%	1.36%	0.42%	1.32%	1.56%	1.09%
57	0.92%	1.41%	0.48%	1.42%	1.68%	1.17%
58	1%	1.51%	0.55%	1.55%	1.82%	1.28%
59	1.11%	1.71%	0.58%	1.69%	1.98%	1.42%
60	1.22%	1.9%	0.64%	1.86%	2.15%	1.58%
61	1.32%	2.05%	0.72%	2.05%	2.35%	1.76%
62	1.43%	2.2%	0.79%	2.25%	2.56%	1.96%
63	1.53%	2.4%	0.85%	2.47%	2.78%	2.18%
64	1.66%	2.63%	0.92%	2.7%	3.02%	2.4%
65	1.82%	2.86%	1.03%	2.95%	3.28%	2.64%
66	1.95%	3.08%	1.13%	3.22%	3.56%	2.91%
67	2.04%	3.25%	1.17%	3.53%	3.89%	3.21%
68	2.14%	3.39%	1.28%	3.9%	4.26%	3.58%
69	2.26%	3.57%	1.39%	4.33%	4.7%	4%
70	2.39%	3.84%	1.46%	4.82%	5.2%	4.49%
71	2.57%	4.09%	1.63%	5.38%	5.76%	5.04%
72	2.77%	4.33%	1.84%	5.99%	6.4%	5.65%
73	2.96%	4.6%	2.02%	6.66%	7.1%	6.3%
74	3.18%	4.9%	2.22%	7.39%	7.86%	7%
75	3.44%	5.24%	2.49%	8.19%	8.7%	7.77%
76	3.73%	5.69%	2.73%	9.07%	9.62%	8.62%
77	4.03%	6.08%	3.02%	10.1%	10.6%	9.58%
78	4.36%	6.32%	3.43%	11.1%	11.8%	10.7%
79	4.83%	6.74%	3.96%	12.4%	13%	11.9%
80	5.47%	7.54%	4.56%	13.7%	14.3%	13.2%
81	6.08%	8.22%	5.18%	15.1%	15.7%	14.7%
82	6.76%	8.92%	5.88%	16.6%	17.2%	16.1%
83	7.62%	9.79%	6.77%	18.1%	18.7%	17.6%
84	8.57%	10.5%	7.83%	19.6%	20.4%	19.1%
85	9.7%	11.5%	9.02%	21.3%	22.2%	20.7%
86	11.1%	13.2%	10.3%	23.2%	24.2%	22.4%
87	12.4%	14.6%	11.7%	25.2%	26.4%	24.4%
88	13.6%	15.3%	13.1%	27.5%	28.9%	26.6%
89	15.3%	17.5%	14.6%	30%	31.5%	29%
90	16.9%	19.3%	16.2%	32.6%	34.2%	31.5%
91	18.4%	19.5%	18.1%	35.1%	36.8%	34.1%
92	20.8%	22.3%	20.4%	37.6%	39.4%	36.5%
93	23.3%	25.9%	22.6%	39.8%	41.7%	38.8%
94	25.3%	27.5%	24.7%	41.9%	44%	40.9%
95	27.3%	28.6%	26.9%	43.9%	46.2%	42.9%
96	29.7%	30.7%	29.5%	45.6%	48.2%	44.8%
97	32.1%	33%	31.9%	47.1%	50%	46.7%
98	34.5%	35.1%	34.4%	49.1%	51.8%	48.5%
99	37%	37.3%	36.9%	51.2%	53.5%	50.3%
100	39.4%	39.5%	39.4%	52.9%	55.4%	52.2%

Death rate by age in Lithuania compared to Mali

In Lithuania, the most common age of death is 86, compared to 0 in Mali. The median age of death is 80.2 in Lithuania and 70.1 in Mali — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Lithuania			Mali
	Total	Male	Female	Total	Male	Female
0	300	313	286.8	5,890	6,451	5,317
1	26.1	25	27.2	1,231	1,334	1,124
2	13.5	14.8	12.1	869	903	833
3	14.1	14.7	13.5	621	620	622
4	11.6	12.5	10.6	452	436	468
5	9.64	9.44	9.85	336	316	357
6	9.86	8.86	10.9	257.8	239	277.3
7	11.6	12.2	10.9	205.2	190.1	220.8
8	12.3	13.5	11	170.2	159.4	181.4
9	10.5	9.31	11.8	147.9	141	155
10	10.7	11	10.4	134.8	130.9	138.8
11	12.4	16.1	8.58	129.1	127.1	131.1
12	14.6	19.1	9.9	129.5	128.2	130.8
13	19.5	22.2	16.7	135.6	133.9	137.4
14	25.5	29.5	21.2	147.2	144.4	150
15	29.7	41.7	17.2	163.5	159.4	167.7
16	31.5	46.8	15.4	183.7	178.8	188.7
17	34.8	44.6	24.5	206.1	202.3	210
18	51.5	72.2	30.3	229.5	229.9	229.1
19	63.7	96.1	30.5	252.3	260.4	243.7
20	57.1	84.8	28.7	272.4	290	253.9
21	57.7	84	30.4	288.1	314	261.2
22	63.4	93.8	31.7	298.3	328	267
23	65.4	100.9	28.6	303	332	273.1
24	69	108.8	27.7	305	329	280.1
25	78.4	120.5	34.1	305	321	287.6
26	83.7	125.8	38.7	305	314	294.9
27	92.2	140.6	40	306	311	301
28	110.9	176.3	40.7	309	312	305
29	125.9	197.9	47.5	313	319	308
30	125.7	185	60.4	319	329	309
31	132.4	197.5	59.8	326	341	310
32	150.7	228.5	63.7	333	353	313
33	175.2	254	85.8	340	362	317
34	190.2	273.5	93.8	346	369	323
35	196.7	285.1	94.3	353	374	331
36	204.4	291.9	102	361	381	341
37	227.4	326	111.7	372	390	352
38	266.1	393	117.2	385	405	364
39	274.7	401	126.4	400	424	375
40	278.1	404	132.3	418	448	386
41	305	452	133.7	436	474	396
42	324	467	157.7	454	501	405
43	340	474	185.4	471	526	413
44	366	514	194.3	488	550	421
45	394	563	201.8	505	574	432
46	421	597	225.2	525	600	447
47	453	639	247.5	550	629	466
48	480	683	259.7	581	665	492
49	498	718	263.3	619	707	525
50	523	751	284.2	662	755	562
51	568	798	328	708	807	602
52	604	865	331	755	860	642
53	647	941	343	802	915	681
54	711	1,015	399	848	969	719
55	750	1,092	403	897	1,025	759
56	774	1,148	399	949	1,085	805
57	807	1,171	451	1,010	1,150	861
58	869	1,235	513	1,082	1,224	931
59	959	1,381	542	1,165	1,307	1,016
60	1,043	1,501	590	1,259	1,397	1,115
61	1,118	1,589	657	1,361	1,492	1,225
62	1,189	1,676	720	1,465	1,587	1,339
63	1,260	1,787	764	1,570	1,681	1,455
64	1,345	1,909	819	1,673	1,773	1,570
65	1,444	2,024	912	1,776	1,865	1,686
66	1,523	2,114	988	1,884	1,961	1,808
67	1,560	2,162	1,017	2,001	2,063	1,941
68	1,601	2,182	1,094	2,130	2,174	2,090
69	1,655	2,222	1,173	2,272	2,294	2,254
70	1,715	2,303	1,216	2,422	2,420	2,429
71	1,803	2,358	1,337	2,571	2,545	2,605
72	1,892	2,395	1,489	2,712	2,661	2,770
73	1,964	2,436	1,605	2,835	2,763	2,917
74	2,045	2,476	1,728	2,936	2,844	3,038
75	2,146	2,520	1,890	3,012	2,900	3,134
76	2,244	2,591	2,026	3,062	2,928	3,207
77	2,331	2,613	2,178	3,086	2,925	3,258
78	2,423	2,549	2,399	3,079	2,888	3,282
79	2,565	2,545	2,674	3,034	2,813	3,269
80	2,767	2,656	2,962	2,944	2,696	3,204
81	2,909	2,678	3,207	2,802	2,537	3,078
82	3,036	2,666	3,454	2,609	2,340	2,887
83	3,193	2,666	3,743	2,376	2,115	2,644
84	3,316	2,579	4,034	2,116	1,872	2,366
85	3,433	2,533	4,283	1,846	1,623	2,073
86	3,544	2,572	4,457	1,578	1,377	1,783
87	3,529	2,463	4,527	1,320	1,140	1,504
88	3,391	2,203	4,481	1,077	917	1,239
89	3,284	2,136	4,335	851	711	992
90	3,082	1,945	4,117	646	529	766
91	2,784	1,587	3,850	470	376	566
92	2,564	1,463	3,547	326	253.5	400
93	2,280	1,316	3,143	215.8	163.1	269.7
94	1,896	1,039	2,653	136.7	100.2	174.1
95	1,524	783	2,174	83	58.8	107.9
96	1,209	600	1,741	48.4	33.1	64.4
97	919	445	1,331	27.3	17.8	37
98	670	318	975	15	9.21	20.5
99	470	219.3	687	7.99	4.58	11
100	163.8	50.3	259.5	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Lithuania and Mali demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Lithuania vs Mali: Comparing Facts

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size