Life Expectancy in Lithuania vs South Africa (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 South Africa: 77.2 years vs 70.5 at 30, 82.8 vs 80.7 at 65, 88.3 vs 88.7 at 80 — significantly higher than the 76.3 vs 66.5 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 South Africa.

Table

Current age, years	Total life expectancy, years
	Lithuania			South Africa
	Average	Male	Female	Average	Male	Female
0	76.3	71.6	80.9	66.5	63	70
1	76.6	71.8	81.2	68	64.6	71.4
2	76.6	71.9	81.2	68.2	64.8	71.6
3	76.6	71.9	81.2	68.4	65	71.8
4	76.6	71.9	81.2	68.5	65.1	71.8
5	76.6	71.9	81.2	68.6	65.1	71.9
6	76.6	71.9	81.2	68.6	65.2	71.9
7	76.6	71.9	81.2	68.6	65.2	72
8	76.6	71.9	81.2	68.7	65.3	72
9	76.6	71.9	81.2	68.7	65.3	72
10	76.6	71.9	81.2	68.7	65.3	72
11	76.6	71.9	81.3	68.7	65.3	72
12	76.7	71.9	81.3	68.8	65.4	72.1
13	76.7	71.9	81.3	68.8	65.4	72.1
14	76.7	72	81.3	68.8	65.4	72.1
15	76.7	72	81.3	68.9	65.5	72.2
16	76.7	72	81.3	68.9	65.5	72.2
17	76.7	72	81.3	69	65.6	72.3
18	76.7	72	81.3	69	65.7	72.3
19	76.8	72.1	81.4	69.1	65.8	72.4
20	76.8	72.1	81.4	69.2	65.8	72.4
21	76.8	72.2	81.4	69.3	66	72.5
22	76.9	72.2	81.4	69.4	66.1	72.6
23	76.9	72.3	81.4	69.5	66.2	72.7
24	76.9	72.3	81.4	69.6	66.3	72.8
25	77	72.4	81.5	69.7	66.5	72.9
26	77	72.4	81.5	69.9	66.7	73
27	77.1	72.5	81.5	70	66.8	73.1
28	77.1	72.6	81.5	70.2	67	73.2
29	77.2	72.6	81.5	70.3	67.2	73.4
30	77.2	72.7	81.6	70.5	67.4	73.5
31	77.3	72.8	81.6	70.7	67.6	73.7
32	77.4	72.9	81.6	70.9	67.8	73.8
33	77.4	73	81.7	71.1	68	74
34	77.5	73.1	81.7	71.3	68.2	74.2
35	77.6	73.2	81.7	71.5	68.4	74.4
36	77.7	73.3	81.8	71.7	68.6	74.5
37	77.8	73.4	81.8	71.9	68.9	74.7
38	77.8	73.5	81.9	72.1	69.1	74.9
39	78	73.7	81.9	72.3	69.4	75.1
40	78.1	73.8	82	72.6	69.6	75.3
41	78.2	74	82	72.8	69.9	75.6
42	78.3	74.1	82.1	73.1	70.1	75.8
43	78.4	74.3	82.2	73.3	70.4	76
44	78.5	74.4	82.2	73.6	70.7	76.2
45	78.7	74.6	82.3	73.8	70.9	76.4
46	78.8	74.8	82.4	74.1	71.2	76.7
47	79	75	82.5	74.4	71.5	76.9
48	79.1	75.2	82.6	74.6	71.9	77.1
49	79.3	75.4	82.7	74.9	72.2	77.4
50	79.4	75.6	82.7	75.2	72.5	77.6
51	79.6	75.8	82.8	75.5	72.9	77.9
52	79.8	76	83	75.8	73.2	78.1
53	79.9	76.2	83.1	76.2	73.6	78.3
54	80.1	76.5	83.2	76.5	73.9	78.6
55	80.3	76.7	83.3	76.8	74.3	78.9
56	80.5	77	83.4	77.2	74.7	79.2
57	80.8	77.3	83.5	77.5	75.1	79.4
58	81	77.6	83.6	77.9	75.6	79.7
59	81.2	77.9	83.8	78.2	76	80
60	81.4	78.2	83.9	78.6	76.5	80.3
61	81.7	78.5	84.1	79	76.9	80.7
62	82	78.9	84.2	79.4	77.4	81
63	82.3	79.3	84.4	79.8	77.9	81.3
64	82.5	79.7	84.6	80.2	78.4	81.7
65	82.8	80.1	84.8	80.7	78.9	82
66	83.2	80.5	85	81.1	79.4	82.4
67	83.5	80.9	85.2	81.6	79.9	82.8
68	83.8	81.4	85.4	82.1	80.5	83.2
69	84.2	81.8	85.6	82.6	81.1	83.6
70	84.5	82.3	85.8	83.1	81.6	84
71	84.8	82.8	86.1	83.6	82.2	84.5
72	85.2	83.2	86.3	84.1	82.8	84.9
73	85.6	83.7	86.6	84.6	83.4	85.4
74	85.9	84.2	86.8	85.2	84	85.8
75	86.3	84.7	87.1	85.7	84.7	86.3
76	86.7	85.2	87.4	86.3	85.3	86.9
77	87.1	85.8	87.7	86.9	86	87.4
78	87.5	86.3	88	87.5	86.7	87.9
79	87.9	86.8	88.4	88.1	87.3	88.5
80	88.3	87.3	88.8	88.7	88	89.1
81	88.8	87.9	89.1	89.4	88.7	89.7
82	89.3	88.5	89.6	90	89.4	90.2
83	89.7	89.1	90	90.6	90.1	90.8
84	90.3	89.7	90.5	91.2	90.8	91.4
85	90.8	90.3	91	91.9	91.5	92.1
86	91.4	90.9	91.5	92.6	92.2	92.7
87	92	91.6	92.1	93.2	92.9	93.4
88	92.6	92.3	92.7	93.9	93.7	94.1
89	93.3	92.9	93.4	94.7	94.4	94.7
90	93.9	93.7	94	95.4	95.2	95.5
91	94.6	94.4	94.7	96.1	96	96.2
92	95.3	95.1	95.4	96.9	96.7	96.9
93	96.1	95.9	96.1	97.6	97.5	97.6
94	96.9	96.7	96.9	98.4	98.3	98.4
95	97.7	97.6	97.7	99.2	99.1	99.2
96	98.5	98.4	98.5	100	99.9	100
97	99.3	99.2	99.3	100.8	100.7	100.8
98	100.2	100.1	100.2	101.6	101.5	101.7
99	101.1	100.9	101.1	102.5	102.3	102.6
100	102	101.8	102	103.4	103.1	103.5

Odds of living to age in Lithuania vs South Africa

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.5% in Lithuania and 68.4% in South Africa are expected to survive till at least 60 years old, 71.7% and 51.3% will live to 70 years or older, 50.6% and 30% to 80+ years, and 18.2% and 11.2% 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			South Africa
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	97.8%	97.5%	98%
2	99.7%	99.7%	99.7%	97.4%	97.1%	97.7%
3	99.7%	99.6%	99.7%	97.2%	96.9%	97.5%
4	99.6%	99.6%	99.7%	97%	96.7%	97.4%
5	99.6%	99.6%	99.6%	96.9%	96.6%	97.3%
6	99.6%	99.6%	99.6%	96.9%	96.5%	97.2%
7	99.6%	99.6%	99.6%	96.8%	96.5%	97.2%
8	99.6%	99.6%	99.6%	96.8%	96.4%	97.2%
9	99.6%	99.6%	99.6%	96.7%	96.4%	97.1%
10	99.6%	99.6%	99.6%	96.7%	96.3%	97.1%
11	99.6%	99.6%	99.6%	96.7%	96.3%	97.1%
12	99.6%	99.5%	99.6%	96.6%	96.2%	97%
13	99.5%	99.5%	99.6%	96.6%	96.2%	97%
14	99.5%	99.5%	99.5%	96.5%	96.1%	96.9%
15	99.5%	99.5%	99.5%	96.4%	96%	96.9%
16	99.5%	99.4%	99.5%	96.4%	95.9%	96.8%
17	99.4%	99.4%	99.5%	96.3%	95.8%	96.7%
18	99.4%	99.3%	99.5%	96.1%	95.6%	96.6%
19	99.4%	99.3%	99.4%	96%	95.5%	96.5%
20	99.3%	99.2%	99.4%	95.8%	95.3%	96.4%
21	99.2%	99.1%	99.4%	95.6%	95.1%	96.3%
22	99.2%	99%	99.4%	95.4%	94.8%	96.1%
23	99.1%	98.9%	99.3%	95.2%	94.5%	95.9%
24	99%	98.8%	99.3%	95%	94.2%	95.8%
25	99%	98.7%	99.3%	94.7%	93.9%	95.6%
26	98.9%	98.6%	99.2%	94.4%	93.5%	95.3%
27	98.8%	98.4%	99.2%	94.1%	93.1%	95.1%
28	98.7%	98.3%	99.2%	93.7%	92.7%	94.8%
29	98.6%	98.1%	99.1%	93.4%	92.3%	94.5%
30	98.5%	97.9%	99.1%	93%	91.8%	94.2%
31	98.4%	97.7%	99%	92.6%	91.3%	93.9%
32	98.2%	97.6%	98.9%	92.1%	90.8%	93.5%
33	98.1%	97.3%	98.9%	91.7%	90.3%	93.1%
34	97.9%	97.1%	98.8%	91.2%	89.7%	92.7%
35	97.7%	96.8%	98.7%	90.7%	89.1%	92.3%
36	97.5%	96.5%	98.6%	90.2%	88.5%	91.9%
37	97.3%	96.2%	98.5%	89.6%	87.9%	91.4%
38	97.1%	95.9%	98.4%	89.1%	87.2%	90.9%
39	96.8%	95.5%	98.3%	88.5%	86.5%	90.4%
40	96.5%	95.1%	98.1%	87.9%	85.8%	89.9%
41	96.3%	94.7%	98%	87.2%	85.1%	89.4%
42	96%	94.2%	97.9%	86.5%	84.3%	88.8%
43	95.6%	93.8%	97.7%	85.8%	83.5%	88.2%
44	95.3%	93.3%	97.5%	85.1%	82.6%	87.6%
45	94.9%	92.8%	97.3%	84.3%	81.8%	87%
46	94.5%	92.2%	97.1%	83.5%	80.8%	86.3%
47	94.1%	91.6%	96.9%	82.7%	79.8%	85.7%
48	93.7%	91%	96.7%	81.9%	78.8%	85%
49	93.2%	90.3%	96.4%	81%	77.7%	84.3%
50	92.7%	89.6%	96.1%	80.1%	76.6%	83.6%
51	92.2%	88.8%	95.9%	79.1%	75.4%	82.9%
52	91.6%	88%	95.5%	78.1%	74.2%	82.1%
53	91%	87.2%	95.2%	77.1%	72.9%	81.3%
54	90.3%	86.2%	94.9%	76%	71.6%	80.5%
55	89.6%	85.2%	94.5%	74.8%	70.2%	79.6%
56	88.9%	84.1%	94.1%	73.6%	68.7%	78.7%
57	88.1%	83%	93.7%	72.4%	67.2%	77.7%
58	87.3%	81.8%	93.2%	71.1%	65.6%	76.6%
59	86.4%	80.6%	92.7%	69.8%	64%	75.6%
60	85.5%	79.2%	92.2%	68.4%	62.3%	74.4%
61	84.4%	77.7%	91.6%	66.9%	60.6%	73.3%
62	83.3%	76.1%	90.9%	65.5%	58.8%	72.1%
63	82.1%	74.4%	90.2%	63.9%	57%	70.8%
64	80.9%	72.6%	89.4%	62.3%	55.1%	69.5%
65	79.5%	70.7%	88.6%	60.6%	53.1%	68%
66	78.1%	68.7%	87.7%	58.9%	51.1%	66.5%
67	76.5%	66.6%	86.7%	57.1%	49%	64.9%
68	75%	64.4%	85.7%	55.2%	46.9%	63.3%
69	73.4%	62.2%	84.6%	53.2%	44.8%	61.5%
70	71.7%	60%	83.4%	51.3%	42.7%	59.7%
71	70%	57.7%	82.2%	49.3%	40.6%	57.9%
72	68.2%	55.4%	80.9%	47.3%	38.4%	55.9%
73	66.3%	53%	79.4%	45.2%	36.3%	53.9%
74	64.4%	50.5%	77.8%	43.1%	34.2%	51.8%
75	62.3%	48.1%	76%	40.9%	32.1%	49.7%
76	60.2%	45.5%	74.2%	38.7%	29.9%	47.4%
77	57.9%	42.9%	72.1%	36.5%	27.8%	45.1%
78	55.6%	40.3%	69.9%	34.3%	25.7%	42.7%
79	53.2%	37.8%	67.6%	32.1%	23.7%	40.3%
80	50.6%	35.2%	64.9%	30%	21.8%	37.9%
81	47.8%	32.6%	61.9%	27.9%	20%	35.5%
82	44.9%	29.9%	58.7%	25.8%	18.3%	33.1%
83	41.9%	27.2%	55.3%	23.8%	16.7%	30.8%
84	38.7%	24.6%	51.5%	21.9%	15.1%	28.4%
85	35.4%	22%	47.5%	20%	13.6%	26.1%
86	31.9%	19.5%	43.2%	18.1%	12.1%	23.7%
87	28.4%	16.9%	38.7%	16.2%	10.7%	21.5%
88	24.9%	14.4%	34.2%	14.5%	9.42%	19.2%
89	21.5%	12.2%	29.7%	12.8%	8.21%	17.1%
90	18.2%	10.1%	25.4%	11.2%	7.1%	15.1%
91	15.1%	8.14%	21.3%	9.76%	6.1%	13.2%
92	12.3%	6.55%	17.4%	8.41%	5.2%	11.4%
93	9.77%	5.09%	13.9%	7.16%	4.38%	9.73%
94	7.49%	3.77%	10.7%	6.02%	3.66%	8.21%
95	5.59%	2.73%	8.08%	5%	3.03%	6.83%
96	4.07%	1.95%	5.91%	4.1%	2.47%	5.6%
97	2.86%	1.35%	4.17%	3.32%	2%	4.54%
98	1.94%	0.91%	2.84%	2.65%	1.6%	3.62%
99	1.27%	0.59%	1.86%	2.08%	1.26%	2.84%
100	0.8%	0.37%	1.18%	1.61%	0.99%	2.19%

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 2.24% in South Africa, 0.13% vs 0.45% at age 30, 1.22% vs 2.1% at 60, and 5.47% vs 6.98% at 80.

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

Table

Age	Probability of dying
	Lithuania			South Africa
	Average	Male	Female	Average	Male	Female
0	0.3%	0.31%	0.29%	2.24%	2.49%	1.98%
1	0.03%	0.03%	0.03%	0.36%	0.39%	0.32%
2	0.01%	0.01%	0.01%	0.23%	0.26%	0.2%
3	0.01%	0.01%	0.01%	0.15%	0.17%	0.13%
4	0.01%	0.01%	0.01%	0.1%	0.12%	0.08%
5	0.01%	0.009%	0.01%	0.07%	0.08%	0.06%
6	0.01%	0.009%	0.01%	0.05%	0.06%	0.04%
7	0.01%	0.01%	0.01%	0.04%	0.05%	0.04%
8	0.01%	0.01%	0.01%	0.04%	0.05%	0.03%
9	0.01%	0.009%	0.01%	0.04%	0.05%	0.03%
10	0.01%	0.01%	0.01%	0.04%	0.05%	0.03%
11	0.01%	0.02%	0.009%	0.05%	0.05%	0.04%
12	0.01%	0.02%	0.01%	0.05%	0.06%	0.04%
13	0.02%	0.02%	0.02%	0.06%	0.07%	0.05%
14	0.03%	0.03%	0.02%	0.07%	0.09%	0.06%
15	0.03%	0.04%	0.02%	0.09%	0.11%	0.07%
16	0.03%	0.05%	0.02%	0.11%	0.13%	0.09%
17	0.03%	0.04%	0.02%	0.13%	0.15%	0.1%
18	0.05%	0.07%	0.03%	0.15%	0.18%	0.12%
19	0.06%	0.1%	0.03%	0.17%	0.21%	0.13%
20	0.06%	0.09%	0.03%	0.19%	0.24%	0.14%
21	0.06%	0.08%	0.03%	0.21%	0.27%	0.15%
22	0.06%	0.09%	0.03%	0.23%	0.3%	0.17%
23	0.07%	0.1%	0.03%	0.26%	0.33%	0.19%
24	0.07%	0.11%	0.03%	0.28%	0.36%	0.21%
25	0.08%	0.12%	0.03%	0.31%	0.39%	0.23%
26	0.08%	0.13%	0.04%	0.34%	0.42%	0.26%
27	0.09%	0.14%	0.04%	0.37%	0.45%	0.29%
28	0.11%	0.18%	0.04%	0.39%	0.48%	0.31%
29	0.13%	0.2%	0.05%	0.42%	0.5%	0.34%
30	0.13%	0.19%	0.06%	0.45%	0.53%	0.36%
31	0.13%	0.2%	0.06%	0.47%	0.56%	0.39%
32	0.15%	0.23%	0.06%	0.5%	0.59%	0.41%
33	0.18%	0.26%	0.09%	0.52%	0.62%	0.43%
34	0.19%	0.28%	0.09%	0.55%	0.65%	0.45%
35	0.2%	0.29%	0.1%	0.58%	0.68%	0.47%
36	0.21%	0.3%	0.1%	0.6%	0.72%	0.5%
37	0.23%	0.34%	0.11%	0.64%	0.75%	0.52%
38	0.27%	0.41%	0.12%	0.67%	0.79%	0.55%
39	0.28%	0.42%	0.13%	0.7%	0.83%	0.58%
40	0.29%	0.42%	0.13%	0.74%	0.87%	0.61%
41	0.32%	0.48%	0.14%	0.77%	0.91%	0.63%
42	0.34%	0.5%	0.16%	0.81%	0.96%	0.66%
43	0.36%	0.51%	0.19%	0.85%	1.02%	0.69%
44	0.38%	0.55%	0.2%	0.89%	1.08%	0.71%
45	0.42%	0.61%	0.21%	0.94%	1.14%	0.74%
46	0.45%	0.65%	0.23%	0.99%	1.21%	0.76%
47	0.48%	0.7%	0.26%	1.03%	1.29%	0.79%
48	0.51%	0.75%	0.27%	1.08%	1.36%	0.81%
49	0.53%	0.79%	0.27%	1.14%	1.45%	0.84%
50	0.56%	0.84%	0.3%	1.2%	1.53%	0.88%
51	0.62%	0.9%	0.34%	1.26%	1.63%	0.92%
52	0.66%	0.98%	0.35%	1.33%	1.73%	0.97%
53	0.71%	1.08%	0.36%	1.41%	1.84%	1.03%
54	0.79%	1.18%	0.42%	1.5%	1.96%	1.1%
55	0.84%	1.28%	0.43%	1.59%	2.08%	1.17%
56	0.87%	1.36%	0.42%	1.69%	2.21%	1.25%
57	0.92%	1.41%	0.48%	1.79%	2.35%	1.33%
58	1%	1.51%	0.55%	1.88%	2.48%	1.4%
59	1.11%	1.71%	0.58%	1.99%	2.63%	1.48%
60	1.22%	1.9%	0.64%	2.1%	2.78%	1.56%
61	1.32%	2.05%	0.72%	2.22%	2.94%	1.66%
62	1.43%	2.2%	0.79%	2.36%	3.13%	1.76%
63	1.53%	2.4%	0.85%	2.52%	3.33%	1.89%
64	1.66%	2.63%	0.92%	2.7%	3.56%	2.04%
65	1.82%	2.86%	1.03%	2.89%	3.81%	2.21%
66	1.95%	3.08%	1.13%	3.1%	4.05%	2.38%
67	2.04%	3.25%	1.17%	3.3%	4.29%	2.57%
68	2.14%	3.39%	1.28%	3.5%	4.52%	2.75%
69	2.26%	3.57%	1.39%	3.69%	4.74%	2.94%
70	2.39%	3.84%	1.46%	3.89%	4.96%	3.13%
71	2.57%	4.09%	1.63%	4.11%	5.21%	3.34%
72	2.77%	4.33%	1.84%	4.36%	5.51%	3.59%
73	2.96%	4.6%	2.02%	4.66%	5.85%	3.87%
74	3.18%	4.9%	2.22%	5%	6.24%	4.19%
75	3.44%	5.24%	2.49%	5.36%	6.66%	4.55%
76	3.73%	5.69%	2.73%	5.72%	7.07%	4.92%
77	4.03%	6.08%	3.02%	6.07%	7.44%	5.28%
78	4.36%	6.32%	3.43%	6.39%	7.75%	5.63%
79	4.83%	6.74%	3.96%	6.68%	8.02%	5.97%
80	5.47%	7.54%	4.56%	6.98%	8.28%	6.31%
81	6.08%	8.22%	5.18%	7.32%	8.59%	6.69%
82	6.76%	8.92%	5.88%	7.73%	8.99%	7.13%
83	7.62%	9.79%	6.77%	8.22%	9.48%	7.64%
84	8.57%	10.5%	7.83%	8.79%	10.1%	8.24%
85	9.7%	11.5%	9.02%	9.44%	10.7%	8.91%
86	11.1%	13.2%	10.3%	10.1%	11.4%	9.62%
87	12.4%	14.6%	11.7%	10.9%	12.2%	10.4%
88	13.6%	15.3%	13.1%	11.6%	12.8%	11.1%
89	15.3%	17.5%	14.6%	12.3%	13.5%	11.9%
90	16.9%	19.3%	16.2%	13.1%	14.1%	12.7%
91	18.4%	19.5%	18.1%	13.9%	14.8%	13.5%
92	20.8%	22.3%	20.4%	14.8%	15.6%	14.5%
93	23.3%	25.9%	22.6%	15.9%	16.5%	15.7%
94	25.3%	27.5%	24.7%	17%	17.4%	16.8%
95	27.3%	28.6%	26.9%	18%	18.3%	17.9%
96	29.7%	30.7%	29.5%	19.1%	19.1%	19%
97	32.1%	33%	31.9%	20.2%	20%	20.2%
98	34.5%	35.1%	34.4%	21.4%	21%	21.5%
99	37%	37.3%	36.9%	22.6%	22%	22.8%
100	39.4%	39.5%	39.4%	23.7%	22.9%	24%

Death rate by age in Lithuania compared to South Africa

In Lithuania, the most common age of death is 86, compared to 0 in South Africa. The median age of death is 80.2 in Lithuania and 70.6 in South Africa — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Lithuania			South Africa
	Total	Male	Female	Total	Male	Female
0	300	313	286.8	2,237	2,486	1,980
1	26.1	25	27.2	350	381	318
2	13.5	14.8	12.1	223.1	248.2	197
3	14.1	14.7	13.5	144.6	164.2	124.6
4	11.6	12.5	10.6	97.1	112.3	81.9
5	9.64	9.44	9.85	68.6	80.4	56.7
6	9.86	8.86	10.9	52.2	61.7	42.6
7	11.6	12.2	10.9	43	51.1	34.9
8	12.3	13.5	11	38.7	46	31.3
9	10.5	9.31	11.8	37.7	44.7	30.6
10	10.7	11	10.4	39.5	46.6	32.3
11	12.4	16.1	8.58	43.8	51.4	36.1
12	14.6	19.1	9.9	50.6	59.1	42.1
13	19.5	22.2	16.7	60.1	69.9	50.1
14	25.5	29.5	21.2	72.1	83.9	60.1
15	29.7	41.7	17.2	86.6	101.1	71.8
16	31.5	46.8	15.4	103.3	121.6	84.7
17	34.8	44.6	24.5	121.8	145	98.1
18	51.5	72.2	30.3	141.2	170.5	111.2
19	63.7	96.1	30.5	161.1	197.4	123.8
20	57.1	84.8	28.7	181.2	225.1	136
21	57.7	84	30.4	201.9	253.1	148.7
22	63.4	93.8	31.7	223.3	281.1	163
23	65.4	100.9	28.6	245.8	309	179.6
24	69	108.8	27.7	269.3	336	199.1
25	78.4	120.5	34.1	293.9	364	221.6
26	83.7	125.8	38.7	319	390	246.3
27	92.2	140.6	40	345	416	271.9
28	110.9	176.3	40.7	369	440	296.8
29	125.9	197.9	47.5	392	464	320
30	125.7	185	60.4	414	487	342
31	132.4	197.5	59.8	436	510	361
32	150.7	228.5	63.7	457	534	380
33	175.2	254	85.8	478	558	398
34	190.2	273.5	93.8	500	582	417
35	196.7	285.1	94.3	522	607	436
36	204.4	291.9	102	545	633	456
37	227.4	326	111.7	569	659	477
38	266.1	393	117.2	594	687	499
39	274.7	401	126.4	620	715	522
40	278.1	404	132.3	646	744	545
41	305	452	133.7	674	776	567
42	324	467	157.7	702	811	588
43	340	474	185.4	731	849	607
44	366	514	194.3	762	890	625
45	394	563	201.8	793	934	642
46	421	597	225.2	824	980	658
47	453	639	247.5	855	1,027	674
48	480	683	259.7	888	1,076	692
49	498	718	263.3	922	1,125	712
50	523	751	284.2	958	1,175	736
51	568	798	328	997	1,228	765
52	604	865	331	1,041	1,283	800
53	647	941	343	1,088	1,340	840
54	711	1,015	399	1,139	1,400	885
55	750	1,092	403	1,192	1,462	934
56	774	1,148	399	1,243	1,521	983
57	807	1,171	451	1,292	1,577	1,030
58	869	1,235	513	1,340	1,630	1,076
59	959	1,381	542	1,386	1,680	1,120
60	1,043	1,501	590	1,433	1,730	1,165
61	1,118	1,589	657	1,484	1,782	1,214
62	1,189	1,676	720	1,543	1,838	1,271
63	1,260	1,787	764	1,609	1,899	1,340
64	1,345	1,909	819	1,680	1,963	1,417
65	1,444	2,024	912	1,754	2,022	1,502
66	1,523	2,114	988	1,823	2,071	1,587
67	1,560	2,162	1,017	1,882	2,104	1,668
68	1,601	2,182	1,094	1,929	2,119	1,741
69	1,655	2,222	1,173	1,964	2,122	1,808
70	1,715	2,303	1,216	1,993	2,118	1,871
71	1,803	2,358	1,337	2,025	2,115	1,935
72	1,892	2,395	1,489	2,063	2,116	2,006
73	1,964	2,436	1,605	2,107	2,124	2,087
74	2,045	2,476	1,728	2,153	2,133	2,173
75	2,146	2,520	1,890	2,193	2,135	2,258
76	2,244	2,591	2,026	2,217	2,116	2,330
77	2,331	2,613	2,178	2,218	2,070	2,380
78	2,423	2,549	2,399	2,191	1,995	2,403
79	2,565	2,545	2,674	2,146	1,904	2,403
80	2,767	2,656	2,962	2,092	1,808	2,390
81	2,909	2,678	3,207	2,041	1,721	2,374
82	3,036	2,666	3,454	1,997	1,646	2,361
83	3,193	2,666	3,743	1,960	1,580	2,352
84	3,316	2,579	4,034	1,925	1,519	2,341
85	3,433	2,533	4,283	1,885	1,457	2,322
86	3,544	2,572	4,457	1,833	1,386	2,285
87	3,529	2,463	4,527	1,763	1,304	2,224
88	3,391	2,203	4,481	1,675	1,210	2,135
89	3,284	2,136	4,335	1,575	1,108	2,030
90	3,082	1,945	4,117	1,466	1,005	1,909
91	2,784	1,587	3,850	1,353	904	1,779
92	2,564	1,463	3,547	1,247	811	1,656
93	2,280	1,316	3,143	1,138	722	1,526
94	1,896	1,039	2,653	1,022	636	1,380
95	1,524	783	2,174	901	552	1,223
96	1,209	600	1,741	781	473	1,066
97	919	445	1,331	670	401	918
98	670	318	975	566	336	778
99	470	219.3	687	470	277.7	647
100	163.8	50.3	259.5	354	202.1	494

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 South Africa 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 South Africa: Complete comparison

By topic vs comparisons:

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