Life Expectancy in Lithuania vs Sudan (1950-2026)

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 Sudan: 77.4 years vs 73.2 at 30, 82.9 vs 79.4 at 65, 88.4 vs 86.2 at 80 — significantly higher than the 76.5 vs 66.9 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 Sudan.

Table

Current age, years	Total life expectancy, years
	Lithuania			Sudan
	Average	Male	Female	Average	Male	Female
0	76.5	71.8	81.1	66.9	63.8	70.2
1	76.7	72	81.3	69.4	66.6	72.4
2	76.7	72	81.3	69.7	66.9	72.7
3	76.7	72.1	81.3	70	67.2	72.9
4	76.7	72.1	81.3	70.2	67.5	73.1
5	76.8	72.1	81.3	70.4	67.7	73.3
6	76.8	72.1	81.3	70.6	67.9	73.4
7	76.8	72.1	81.3	70.7	68.1	73.5
8	76.8	72.1	81.3	70.9	68.3	73.6
9	76.8	72.1	81.4	71	68.4	73.7
10	76.8	72.1	81.4	71	68.5	73.7
11	76.8	72.1	81.4	71.1	68.6	73.8
12	76.8	72.1	81.4	71.2	68.7	73.8
13	76.8	72.1	81.4	71.3	68.8	73.9
14	76.8	72.2	81.4	71.3	68.8	73.9
15	76.8	72.2	81.4	71.4	68.9	74
16	76.9	72.2	81.4	71.5	69	74
17	76.9	72.2	81.4	71.6	69.1	74.1
18	76.9	72.2	81.4	71.7	69.3	74.2
19	76.9	72.3	81.5	71.8	69.4	74.3
20	77	72.3	81.5	71.9	69.6	74.3
21	77	72.4	81.5	72	69.7	74.4
22	77	72.4	81.5	72.2	69.9	74.5
23	77.1	72.5	81.5	72.3	70.1	74.6
24	77.1	72.5	81.6	72.4	70.2	74.7
25	77.1	72.6	81.6	72.5	70.4	74.8
26	77.2	72.6	81.6	72.7	70.6	74.8
27	77.2	72.7	81.6	72.8	70.7	74.9
28	77.3	72.7	81.6	72.9	70.9	75
29	77.3	72.8	81.7	73.1	71.1	75.1
30	77.4	72.9	81.7	73.2	71.2	75.2
31	77.4	73	81.7	73.3	71.4	75.3
32	77.5	73.1	81.7	73.4	71.5	75.4
33	77.6	73.2	81.8	73.6	71.7	75.5
34	77.6	73.3	81.8	73.7	71.8	75.6
35	77.7	73.4	81.9	73.8	72	75.7
36	77.8	73.5	81.9	73.9	72.2	75.8
37	77.9	73.6	81.9	74.1	72.3	75.9
38	78	73.7	82	74.2	72.5	76
39	78.1	73.9	82	74.3	72.6	76.1
40	78.2	74	82.1	74.5	72.8	76.2
41	78.3	74.1	82.2	74.6	73	76.3
42	78.4	74.3	82.2	74.7	73.1	76.4
43	78.5	74.4	82.3	74.9	73.3	76.5
44	78.7	74.6	82.3	75	73.5	76.6
45	78.8	74.8	82.4	75.2	73.6	76.8
46	78.9	74.9	82.5	75.3	73.8	76.9
47	79.1	75.1	82.6	75.5	74	77
48	79.2	75.3	82.7	75.6	74.2	77.1
49	79.4	75.5	82.8	75.8	74.4	77.3
50	79.5	75.7	82.9	76	74.6	77.4
51	79.7	75.9	82.9	76.1	74.8	77.5
52	79.9	76.2	83.1	76.3	75	77.7
53	80.1	76.4	83.2	76.5	75.2	77.9
54	80.2	76.6	83.3	76.7	75.5	78
55	80.4	76.9	83.4	76.9	75.7	78.2
56	80.7	77.2	83.5	77.1	76	78.4
57	80.9	77.4	83.6	77.4	76.2	78.6
58	81.1	77.7	83.7	77.6	76.5	78.8
59	81.3	78	83.9	77.8	76.8	78.9
60	81.5	78.3	84	78	77	79.1
61	81.8	78.7	84.2	78.3	77.3	79.4
62	82.1	79	84.3	78.6	77.6	79.6
63	82.3	79.4	84.5	78.8	77.9	79.8
64	82.6	79.8	84.7	79.1	78.3	80.1
65	82.9	80.2	84.9	79.4	78.6	80.4
66	83.3	80.6	85.1	79.8	79	80.7
67	83.6	81	85.3	80.1	79.4	81
68	83.9	81.5	85.5	80.5	79.8	81.3
69	84.2	81.9	85.7	80.8	80.2	81.6
70	84.6	82.4	85.9	81.2	80.6	82
71	84.9	82.9	86.1	81.6	81	82.3
72	85.3	83.3	86.4	82.1	81.5	82.7
73	85.6	83.8	86.6	82.5	82	83.1
74	86	84.3	86.9	83	82.5	83.6
75	86.4	84.8	87.2	83.5	83	84
76	86.8	85.3	87.5	84	83.5	84.5
77	87.1	85.8	87.8	84.5	84.1	85
78	87.5	86.4	88.1	85	84.6	85.5
79	88	86.9	88.4	85.6	85.2	86.1
80	88.4	87.4	88.8	86.2	85.8	86.6
81	88.8	88	89.2	86.8	86.5	87.2
82	89.3	88.5	89.6	87.5	87.1	87.8
83	89.8	89.1	90	88.1	87.8	88.5
84	90.3	89.7	90.5	88.8	88.5	89.1
85	90.8	90.3	91	89.5	89.2	89.8
86	91.4	90.9	91.6	90.2	89.9	90.5
87	92	91.6	92.1	90.9	90.6	91.2
88	92.6	92.3	92.7	91.7	91.3	91.9
89	93.3	93	93.4	92.4	92.1	92.7
90	94	93.7	94	93.2	92.9	93.4
91	94.6	94.4	94.7	94	93.7	94.2
92	95.4	95.2	95.4	94.8	94.5	95
93	96.1	95.9	96.1	95.6	95.4	95.8
94	96.9	96.7	96.9	96.5	96.2	96.6
95	97.7	97.6	97.7	97.3	97.1	97.4
96	98.5	98.4	98.5	98.2	98	98.3
97	99.3	99.2	99.3	99.1	98.9	99.2
98	100.2	100.1	100.2	100	99.8	100
99	101.1	100.9	101.1	100.9	100.7	100.9
100	102	101.8	102	101.8	101.7	101.9

Odds of living to age in Lithuania vs Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.7% in Lithuania and 75.3% in Sudan are expected to survive till at least 60 years old, 72.1% and 59.9% will live to 70 years or older, 51.1% and 32.5% to 80+ years, and 18.6% and 6.45% 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			Sudan
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	96.4%	95.8%	97%
2	99.7%	99.7%	99.7%	95.9%	95.3%	96.6%
3	99.7%	99.7%	99.7%	95.5%	94.8%	96.2%
4	99.7%	99.6%	99.7%	95.2%	94.4%	95.9%
5	99.6%	99.6%	99.7%	94.9%	94.1%	95.7%
6	99.6%	99.6%	99.7%	94.7%	93.8%	95.6%
7	99.6%	99.6%	99.6%	94.4%	93.5%	95.4%
8	99.6%	99.6%	99.6%	94.3%	93.3%	95.3%
9	99.6%	99.6%	99.6%	94.1%	93.1%	95.2%
10	99.6%	99.6%	99.6%	94%	92.9%	95.1%
11	99.6%	99.6%	99.6%	93.9%	92.8%	95%
12	99.6%	99.6%	99.6%	93.8%	92.6%	95%
13	99.6%	99.5%	99.6%	93.7%	92.5%	94.9%
14	99.5%	99.5%	99.6%	93.5%	92.3%	94.8%
15	99.5%	99.5%	99.5%	93.4%	92.2%	94.7%
16	99.5%	99.4%	99.5%	93.3%	92%	94.6%
17	99.5%	99.4%	99.5%	93.1%	91.8%	94.5%
18	99.4%	99.4%	99.5%	93%	91.6%	94.4%
19	99.4%	99.3%	99.5%	92.8%	91.3%	94.3%
20	99.3%	99.2%	99.4%	92.6%	91.1%	94.1%
21	99.2%	99.1%	99.4%	92.3%	90.8%	94%
22	99.2%	99%	99.4%	92.1%	90.4%	93.9%
23	99.1%	98.9%	99.3%	91.9%	90.1%	93.7%
24	99.1%	98.8%	99.3%	91.6%	89.8%	93.5%
25	99%	98.7%	99.3%	91.4%	89.4%	93.4%
26	98.9%	98.6%	99.2%	91.1%	89.1%	93.2%
27	98.8%	98.5%	99.2%	90.9%	88.8%	93%
28	98.7%	98.3%	99.2%	90.6%	88.5%	92.9%
29	98.6%	98.2%	99.1%	90.4%	88.1%	92.7%
30	98.5%	98%	99.1%	90.1%	87.8%	92.5%
31	98.4%	97.8%	99%	89.8%	87.5%	92.3%
32	98.3%	97.6%	99%	89.6%	87.1%	92.1%
33	98.1%	97.4%	98.9%	89.3%	86.8%	91.9%
34	97.9%	97.1%	98.8%	89%	86.4%	91.7%
35	97.8%	96.9%	98.7%	88.7%	86.1%	91.5%
36	97.6%	96.6%	98.6%	88.4%	85.7%	91.3%
37	97.4%	96.3%	98.5%	88.1%	85.3%	91.1%
38	97.1%	96%	98.4%	87.8%	84.9%	90.8%
39	96.9%	95.6%	98.3%	87.5%	84.6%	90.6%
40	96.6%	95.2%	98.2%	87.2%	84.1%	90.3%
41	96.3%	94.8%	98%	86.8%	83.7%	90%
42	96%	94.3%	97.9%	86.5%	83.3%	89.7%
43	95.7%	93.9%	97.8%	86.1%	82.8%	89.4%
44	95.4%	93.4%	97.6%	85.7%	82.3%	89.1%
45	95%	92.9%	97.4%	85.3%	81.8%	88.8%
46	94.6%	92.3%	97.2%	84.8%	81.3%	88.4%
47	94.2%	91.8%	97%	84.4%	80.8%	88.1%
48	93.7%	91.1%	96.7%	83.9%	80.2%	87.7%
49	93.3%	90.4%	96.5%	83.4%	79.6%	87.3%
50	92.8%	89.7%	96.2%	82.9%	79%	86.8%
51	92.3%	89%	95.9%	82.3%	78.3%	86.4%
52	91.7%	88.2%	95.6%	81.7%	77.6%	85.9%
53	91.1%	87.4%	95.3%	81%	76.8%	85.3%
54	90.5%	86.4%	94.9%	80.3%	75.9%	84.7%
55	89.8%	85.4%	94.5%	79.6%	75%	84.1%
56	89%	84.4%	94.1%	78.8%	74.1%	83.4%
57	88.3%	83.2%	93.7%	78%	73.2%	82.7%
58	87.5%	82.1%	93.3%	77.1%	72.2%	82%
59	86.6%	80.8%	92.8%	76.2%	71.2%	81.3%
60	85.7%	79.5%	92.3%	75.3%	70%	80.4%
61	84.6%	78%	91.7%	74.2%	68.8%	79.5%
62	83.5%	76.4%	91%	73.1%	67.5%	78.5%
63	82.3%	74.8%	90.3%	71.8%	66.1%	77.4%
64	81.1%	73%	89.6%	70.4%	64.6%	76.2%
65	79.8%	71.1%	88.8%	69%	63%	74.9%
66	78.3%	69.1%	87.9%	67.4%	61.3%	73.5%
67	76.8%	67%	86.9%	65.7%	59.5%	71.9%
68	75.3%	64.9%	85.9%	63.9%	57.6%	70.3%
69	73.7%	62.7%	84.8%	62%	55.6%	68.5%
70	72.1%	60.5%	83.6%	59.9%	53.5%	66.5%
71	70.4%	58.2%	82.4%	57.7%	51.2%	64.4%
72	68.6%	55.9%	81.1%	55.4%	48.9%	62.2%
73	66.7%	53.5%	79.6%	52.9%	46.4%	59.7%
74	64.7%	51.1%	78.1%	50.3%	43.9%	57.2%
75	62.7%	48.6%	76.3%	47.6%	41.2%	54.4%
76	60.6%	46.1%	74.5%	44.7%	38.5%	51.6%
77	58.3%	43.5%	72.5%	41.8%	35.7%	48.6%
78	56%	40.9%	70.3%	38.7%	32.8%	45.5%
79	53.6%	38.4%	67.9%	35.6%	29.9%	42.2%
80	51.1%	35.8%	65.3%	32.5%	27.1%	38.9%
81	48.3%	33.2%	62.3%	29.3%	24.2%	35.5%
82	45.4%	30.5%	59.1%	26.2%	21.4%	32.1%
83	42.4%	27.8%	55.7%	23.1%	18.7%	28.6%
84	39.2%	25.1%	51.9%	20.2%	16.2%	25.3%
85	35.8%	22.5%	47.9%	17.4%	13.7%	22%
86	32.4%	19.9%	43.6%	14.7%	11.5%	18.9%
87	28.8%	17.3%	39.2%	12.3%	9.47%	16%
88	25.3%	14.8%	34.6%	10.1%	7.64%	13.4%
89	21.9%	12.6%	30.1%	8.15%	6.02%	11%
90	18.6%	10.4%	25.8%	6.45%	4.62%	8.9%
91	15.4%	8.41%	21.6%	4.99%	3.45%	7.06%
92	12.6%	6.79%	17.7%	3.77%	2.5%	5.48%
93	10%	5.28%	14.2%	2.79%	1.76%	4.16%
94	7.68%	3.93%	11%	2%	1.2%	3.07%
95	5.75%	2.85%	8.27%	1.4%	0.8%	2.2%
96	4.19%	2.04%	6.06%	0.95%	0.51%	1.52%
97	2.95%	1.42%	4.28%	0.63%	0.32%	1.02%
98	2.01%	0.95%	2.92%	0.4%	0.19%	0.67%
99	1.32%	0.62%	1.92%	0.25%	0.11%	0.42%
100	0.83%	0.39%	1.21%	0.15%	0.06%	0.26%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.29% in the birth year in Lithuania and 3.6% in Sudan, 0.13% vs 0.3% at age 30, 1.2% vs 1.41% at 60, and 5.41% vs 9.71% at 80.

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

Table

Age	Probability of dying
	Lithuania			Sudan
	Average	Male	Female	Average	Male	Female
0	0.29%	0.3%	0.28%	3.6%	4.2%	2.98%
1	0.03%	0.02%	0.03%	0.5%	0.53%	0.47%
2	0.01%	0.01%	0.01%	0.42%	0.47%	0.36%
3	0.01%	0.01%	0.01%	0.35%	0.42%	0.28%
4	0.01%	0.01%	0.01%	0.3%	0.38%	0.22%
5	0.009%	0.009%	0.01%	0.26%	0.33%	0.18%
6	0.01%	0.009%	0.01%	0.22%	0.29%	0.14%
7	0.01%	0.01%	0.01%	0.19%	0.25%	0.12%
8	0.01%	0.01%	0.01%	0.16%	0.21%	0.1%
9	0.01%	0.009%	0.01%	0.14%	0.19%	0.09%
10	0.01%	0.01%	0.01%	0.13%	0.16%	0.09%
11	0.01%	0.02%	0.008%	0.12%	0.15%	0.08%
12	0.01%	0.02%	0.01%	0.12%	0.15%	0.08%
13	0.02%	0.02%	0.02%	0.12%	0.15%	0.09%
14	0.03%	0.03%	0.02%	0.13%	0.17%	0.09%
15	0.03%	0.04%	0.02%	0.14%	0.19%	0.1%
16	0.03%	0.05%	0.02%	0.16%	0.21%	0.11%
17	0.03%	0.04%	0.02%	0.18%	0.24%	0.12%
18	0.05%	0.07%	0.03%	0.2%	0.28%	0.13%
19	0.06%	0.09%	0.03%	0.22%	0.31%	0.14%
20	0.06%	0.08%	0.03%	0.24%	0.33%	0.15%
21	0.06%	0.08%	0.03%	0.25%	0.35%	0.16%
22	0.06%	0.09%	0.03%	0.26%	0.36%	0.16%
23	0.07%	0.1%	0.03%	0.27%	0.37%	0.17%
24	0.07%	0.11%	0.03%	0.27%	0.37%	0.17%
25	0.08%	0.12%	0.03%	0.27%	0.37%	0.18%
26	0.08%	0.13%	0.04%	0.28%	0.37%	0.19%
27	0.09%	0.14%	0.04%	0.28%	0.37%	0.19%
28	0.11%	0.18%	0.04%	0.29%	0.37%	0.2%
29	0.13%	0.2%	0.05%	0.29%	0.38%	0.2%
30	0.13%	0.19%	0.06%	0.3%	0.39%	0.21%
31	0.13%	0.2%	0.06%	0.3%	0.39%	0.21%
32	0.15%	0.23%	0.06%	0.31%	0.4%	0.22%
33	0.18%	0.26%	0.09%	0.31%	0.41%	0.22%
34	0.19%	0.28%	0.09%	0.32%	0.41%	0.22%
35	0.2%	0.29%	0.09%	0.32%	0.42%	0.23%
36	0.21%	0.3%	0.1%	0.33%	0.43%	0.24%
37	0.23%	0.33%	0.11%	0.34%	0.44%	0.25%
38	0.27%	0.4%	0.12%	0.36%	0.46%	0.27%
39	0.28%	0.41%	0.13%	0.38%	0.48%	0.29%
40	0.28%	0.42%	0.13%	0.4%	0.51%	0.31%
41	0.31%	0.47%	0.13%	0.43%	0.53%	0.33%
42	0.33%	0.49%	0.16%	0.45%	0.56%	0.35%
43	0.35%	0.5%	0.19%	0.47%	0.58%	0.37%
44	0.38%	0.54%	0.2%	0.48%	0.6%	0.38%
45	0.41%	0.6%	0.2%	0.5%	0.62%	0.39%
46	0.44%	0.64%	0.23%	0.52%	0.65%	0.41%
47	0.48%	0.69%	0.25%	0.55%	0.69%	0.43%
48	0.51%	0.74%	0.27%	0.59%	0.74%	0.46%
49	0.53%	0.78%	0.27%	0.64%	0.81%	0.5%
50	0.56%	0.83%	0.29%	0.69%	0.88%	0.55%
51	0.61%	0.88%	0.34%	0.76%	0.95%	0.6%
52	0.65%	0.97%	0.34%	0.82%	1.03%	0.65%
53	0.7%	1.06%	0.36%	0.88%	1.1%	0.69%
54	0.78%	1.16%	0.42%	0.93%	1.15%	0.74%
55	0.83%	1.26%	0.42%	0.98%	1.21%	0.78%
56	0.86%	1.34%	0.42%	1.03%	1.27%	0.82%
57	0.91%	1.39%	0.47%	1.09%	1.35%	0.87%
58	0.98%	1.48%	0.54%	1.17%	1.45%	0.94%
59	1.09%	1.69%	0.58%	1.28%	1.57%	1.03%
60	1.2%	1.86%	0.63%	1.41%	1.72%	1.13%
61	1.31%	2.01%	0.71%	1.56%	1.9%	1.26%
62	1.41%	2.17%	0.78%	1.72%	2.09%	1.4%
63	1.52%	2.36%	0.83%	1.9%	2.29%	1.56%
64	1.64%	2.58%	0.9%	2.09%	2.5%	1.72%
65	1.79%	2.81%	1.01%	2.29%	2.71%	1.9%
66	1.92%	3.03%	1.11%	2.5%	2.94%	2.1%
67	2.01%	3.19%	1.16%	2.74%	3.2%	2.31%
68	2.11%	3.33%	1.26%	3.01%	3.48%	2.56%
69	2.23%	3.51%	1.37%	3.32%	3.81%	2.84%
70	2.35%	3.77%	1.44%	3.66%	4.17%	3.16%
71	2.54%	4.02%	1.6%	4.05%	4.58%	3.51%
72	2.74%	4.26%	1.82%	4.48%	5.03%	3.89%
73	2.93%	4.53%	1.99%	4.94%	5.52%	4.31%
74	3.14%	4.82%	2.19%	5.44%	6.05%	4.77%
75	3.4%	5.16%	2.45%	5.99%	6.64%	5.26%
76	3.69%	5.61%	2.7%	6.6%	7.27%	5.81%
77	3.98%	6%	2.98%	7.27%	7.98%	6.42%
78	4.3%	6.23%	3.39%	8%	8.76%	7.11%
79	4.77%	6.65%	3.91%	8.82%	9.61%	7.88%
80	5.41%	7.44%	4.51%	9.71%	10.5%	8.74%
81	6.01%	8.11%	5.12%	10.7%	11.5%	9.68%
82	6.69%	8.81%	5.82%	11.7%	12.6%	10.7%
83	7.54%	9.67%	6.7%	12.8%	13.7%	11.8%
84	8.47%	10.4%	7.75%	13.9%	14.9%	12.9%
85	9.6%	11.4%	8.93%	15.2%	16.3%	14%
86	11%	13.1%	10.2%	16.5%	17.7%	15.2%
87	12.3%	14.4%	11.6%	17.8%	19.4%	16.5%
88	13.5%	15.1%	13%	19.3%	21.2%	17.8%
89	15.2%	17.3%	14.5%	20.9%	23.2%	19.2%
90	16.8%	19.1%	16.1%	22.6%	25.4%	20.7%
91	18.3%	19.3%	18%	24.4%	27.5%	22.4%
92	20.7%	22.1%	20.2%	26.2%	29.6%	24.2%
93	23.2%	25.7%	22.5%	28.1%	31.7%	26.2%
94	25.2%	27.3%	24.6%	30.1%	33.6%	28.4%
95	27.1%	28.5%	26.8%	32.1%	35.6%	30.6%
96	29.6%	30.6%	29.3%	34.1%	37.5%	32.8%
97	32%	32.8%	31.8%	36.1%	39.5%	34.9%
98	34.4%	35%	34.3%	38%	41.5%	36.9%
99	36.9%	37.2%	36.8%	39.9%	43.5%	38.8%
100	39.3%	39.3%	39.3%	41.9%	45.5%	41%

Death rate by age in Lithuania compared to Sudan

In Lithuania, the most common age of death is 86, compared to 0 in Sudan. The median age of death is 80.4 in Lithuania and 74.1 in Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Lithuania			Sudan
	Total	Male	Female	Total	Male	Female
0	291.9	305	278.5	3,597	4,196	2,975
1	25.4	24.3	26.4	480	505	454
2	13.2	14.4	11.8	401	450	350
3	13.8	14.4	13.1	338	402	272.2
4	11.3	12.2	10.4	286.4	356	213.6
5	9.42	9.23	9.62	243	313	170.1
6	9.63	8.66	10.7	206.4	271.3	138.3
7	11.3	12	10.7	175.6	232.9	115.6
8	12	13.2	10.7	150.7	199.4	99.7
9	10.3	9.11	11.5	131.6	172.2	89
10	10.5	10.8	10.2	118.4	152.6	82.6
11	12.2	15.7	8.41	111.1	141	79.7
12	14.3	18.6	9.7	109.2	137.1	80
13	19.1	21.8	16.4	112.7	141	83
14	25	28.9	20.8	121.3	152.6	88.5
15	29.1	40.8	16.8	134.6	171.3	96.1
16	30.9	45.9	15.2	151.6	196.1	105
17	34.2	43.8	24.1	170.7	224.4	114.5
18	50.7	70.8	29.8	190.2	253.6	123.8
19	62.7	94.3	30	208	280.3	132.1
20	56.2	83.3	28.3	222.6	302	139.3
21	56.7	82.6	30	233.5	317	145.7
22	62.3	92.2	31.2	240.7	326	151.5
23	64.5	99.2	28.2	245.2	330	156.9
24	67.9	107	27.3	247.9	330	162.3
25	77	118.5	33.7	249.9	328	167.7
26	82.1	123.9	38.2	252.1	327	173.3
27	90.6	138.4	39.5	254.9	327	178.7
28	109.5	173.6	40.2	258.5	330	183.9
29	123.7	194.9	46.9	262.8	334	188.5
30	123.6	182.3	59.6	267.3	339	192.5
31	130.3	194.6	59.1	271.7	344	196
32	148.5	225.2	62.9	275.5	350	199
33	172.2	250.4	84.7	278.8	354	201.9
34	186.8	269.6	92.7	282.3	358	205.4
35	194	281.1	93.1	286.9	363	210.5
36	201.3	287.8	100.8	293.8	370	218.1
37	224.5	322	110.3	304	380	229.2
38	262.3	387	115.9	318	393	243.8
39	271.3	396	125	334	409	261.7
40	275.1	398	130.8	353	428	281.3
41	301	446	132.1	371	446	300
42	320	461	155.8	388	464	317
43	336	467	183.2	402	479	330
44	361	507	192	414	494	340
45	391	555	199.3	426	510	349
46	417	589	222.4	441	531	360
47	448	630	244.5	462	559	377
48	475	674	256.5	492	596	402
49	493	708	260	530	641	434
50	518	741	280.7	575	694	473
51	560	787	324	623	747	515
52	596	853	327	669	798	556
53	639	928	338	710	841	593
54	702	1,001	394	745	877	624
55	742	1,077	398	776	909	653
56	766	1,132	394	809	944	683
57	800	1,155	445	850	987	721
58	857	1,218	506	905	1,045	770
59	942	1,363	535	974	1,118	833
60	1,028	1,481	582	1,059	1,206	912
61	1,106	1,569	648	1,155	1,305	1,002
62	1,177	1,655	711	1,258	1,409	1,101
63	1,248	1,765	754	1,365	1,513	1,206
64	1,330	1,887	809	1,471	1,613	1,314
65	1,429	2,002	900	1,578	1,709	1,425
66	1,507	2,091	975	1,687	1,804	1,541
67	1,542	2,140	1,004	1,801	1,902	1,664
68	1,590	2,161	1,081	1,924	2,006	1,798
69	1,642	2,203	1,159	2,056	2,115	1,944
70	1,696	2,284	1,202	2,196	2,230	2,099
71	1,785	2,341	1,322	2,338	2,346	2,259
72	1,881	2,380	1,473	2,479	2,458	2,420
73	1,953	2,423	1,589	2,613	2,562	2,576
74	2,030	2,466	1,712	2,737	2,655	2,725
75	2,134	2,512	1,873	2,850	2,734	2,865
76	2,234	2,586	2,009	2,950	2,799	2,997
77	2,321	2,611	2,161	3,034	2,846	3,120
78	2,410	2,551	2,381	3,099	2,874	3,232
79	2,559	2,550	2,657	3,141	2,878	3,328
80	2,761	2,665	2,945	3,154	2,852	3,399
81	2,903	2,691	3,191	3,131	2,793	3,435
82	3,036	2,683	3,441	3,065	2,697	3,425
83	3,194	2,688	3,733	2,959	2,569	3,365
84	3,319	2,605	4,028	2,811	2,412	3,253
85	3,442	2,562	4,282	2,630	2,234	3,090
86	3,561	2,606	4,462	2,423	2,041	2,883
87	3,556	2,501	4,539	2,195	1,836	2,644
88	3,420	2,242	4,500	1,954	1,621	2,383
89	3,315	2,179	4,361	1,706	1,398	2,113
90	3,119	1,989	4,148	1,457	1,171	1,842
91	2,822	1,627	3,887	1,215	949	1,579
92	2,605	1,503	3,588	988	741	1,327
93	2,322	1,356	3,186	783	557	1,090
94	1,933	1,074	2,695	602	404	870
95	1,559	812	2,213	449	283.5	672
96	1,240	624	1,777	325	192.5	500
97	945	465	1,362	226.5	126.7	358
98	690	333	1,000	152.5	80.6	246.2
99	485	230.3	706	99.1	49.5	163.3
100	174.6	56.5	274.1	0	0	6.5

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 Sudan 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 Sudan: Quantitative Profiles

By topic vs comparisons:

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