Life Expectancy in Lithuania vs Sao Tome and Principe (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 Sao Tome and Principe: 77.2 years vs 72.4 at 30, 82.8 vs 79.4 at 65, 88.3 vs 86.6 at 80 — significantly higher than the 76.3 vs 70.1 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 Sao Tome and Principe.

Table

Current age, years	Total life expectancy, years
	Lithuania			Sao Tome
	Average	Male	Female	Average	Male	Female
0	76.3	71.6	80.9	70.1	66.6	74.1
1	76.6	71.8	81.2	70.8	67.3	74.8
2	76.6	71.9	81.2	70.9	67.4	74.9
3	76.6	71.9	81.2	70.9	67.4	74.9
4	76.6	71.9	81.2	70.9	67.4	74.9
5	76.6	71.9	81.2	71	67.5	75
6	76.6	71.9	81.2	71	67.5	75
7	76.6	71.9	81.2	71	67.5	75
8	76.6	71.9	81.2	71.1	67.6	75
9	76.6	71.9	81.2	71.1	67.6	75.1
10	76.6	71.9	81.2	71.1	67.6	75.1
11	76.6	71.9	81.3	71.1	67.6	75.1
12	76.7	71.9	81.3	71.2	67.6	75.1
13	76.7	71.9	81.3	71.2	67.7	75.2
14	76.7	72	81.3	71.2	67.7	75.2
15	76.7	72	81.3	71.2	67.7	75.2
16	76.7	72	81.3	71.3	67.8	75.3
17	76.7	72	81.3	71.3	67.8	75.3
18	76.7	72	81.3	71.4	67.9	75.4
19	76.8	72.1	81.4	71.5	68	75.4
20	76.8	72.1	81.4	71.5	68.1	75.5
21	76.8	72.2	81.4	71.6	68.2	75.6
22	76.9	72.2	81.4	71.7	68.3	75.6
23	76.9	72.3	81.4	71.8	68.4	75.7
24	76.9	72.3	81.4	71.9	68.5	75.7
25	77	72.4	81.5	72	68.6	75.8
26	77	72.4	81.5	72.1	68.8	75.9
27	77.1	72.5	81.5	72.2	68.9	75.9
28	77.1	72.6	81.5	72.3	69	76
29	77.2	72.6	81.5	72.3	69.1	76.1
30	77.2	72.7	81.6	72.4	69.2	76.1
31	77.3	72.8	81.6	72.5	69.3	76.2
32	77.4	72.9	81.6	72.6	69.4	76.3
33	77.4	73	81.7	72.7	69.6	76.3
34	77.5	73.1	81.7	72.8	69.7	76.4
35	77.6	73.2	81.7	72.9	69.8	76.5
36	77.7	73.3	81.8	73	70	76.6
37	77.8	73.4	81.8	73.2	70.1	76.6
38	77.8	73.5	81.9	73.3	70.2	76.7
39	78	73.7	81.9	73.4	70.4	76.8
40	78.1	73.8	82	73.5	70.5	76.9
41	78.2	74	82	73.6	70.7	77
42	78.3	74.1	82.1	73.8	70.9	77.1
43	78.4	74.3	82.2	73.9	71	77.2
44	78.5	74.4	82.2	74.1	71.2	77.3
45	78.7	74.6	82.3	74.2	71.4	77.4
46	78.8	74.8	82.4	74.4	71.6	77.6
47	79	75	82.5	74.6	71.8	77.7
48	79.1	75.2	82.6	74.8	72	77.8
49	79.3	75.4	82.7	75	72.3	78
50	79.4	75.6	82.7	75.2	72.5	78.1
51	79.6	75.8	82.8	75.4	72.8	78.3
52	79.8	76	83	75.6	73	78.4
53	79.9	76.2	83.1	75.8	73.3	78.6
54	80.1	76.5	83.2	76.1	73.6	78.8
55	80.3	76.7	83.3	76.3	73.9	78.9
56	80.5	77	83.4	76.6	74.2	79.1
57	80.8	77.3	83.5	76.9	74.5	79.3
58	81	77.6	83.6	77.1	74.9	79.5
59	81.2	77.9	83.8	77.4	75.2	79.8
60	81.4	78.2	83.9	77.7	75.6	80
61	81.7	78.5	84.1	78.1	76	80.2
62	82	78.9	84.2	78.4	76.4	80.4
63	82.3	79.3	84.4	78.7	76.8	80.7
64	82.5	79.7	84.6	79.1	77.2	81
65	82.8	80.1	84.8	79.4	77.6	81.2
66	83.2	80.5	85	79.8	78.1	81.5
67	83.5	80.9	85.2	80.2	78.5	81.8
68	83.8	81.4	85.4	80.6	79	82.1
69	84.2	81.8	85.6	81	79.5	82.4
70	84.5	82.3	85.8	81.4	80	82.8
71	84.8	82.8	86.1	81.9	80.5	83.1
72	85.2	83.2	86.3	82.4	81.1	83.5
73	85.6	83.7	86.6	82.8	81.6	83.9
74	85.9	84.2	86.8	83.3	82.2	84.3
75	86.3	84.7	87.1	83.8	82.8	84.7
76	86.7	85.2	87.4	84.3	83.3	85.1
77	87.1	85.8	87.7	84.9	83.9	85.6
78	87.5	86.3	88	85.4	84.6	86.1
79	87.9	86.8	88.4	86	85.2	86.6
80	88.3	87.3	88.8	86.6	85.9	87.1
81	88.8	87.9	89.1	87.2	86.5	87.7
82	89.3	88.5	89.6	87.9	87.2	88.2
83	89.7	89.1	90	88.5	87.9	88.8
84	90.3	89.7	90.5	89.2	88.6	89.5
85	90.8	90.3	91	89.8	89.4	90.1
86	91.4	90.9	91.5	90.5	90.1	90.8
87	92	91.6	92.1	91.3	90.9	91.5
88	92.6	92.3	92.7	92	91.7	92.2
89	93.3	92.9	93.4	92.7	92.4	92.9
90	93.9	93.7	94	93.5	93.2	93.6
91	94.6	94.4	94.7	94.3	94	94.4
92	95.3	95.1	95.4	95.1	94.9	95.2
93	96.1	95.9	96.1	95.9	95.7	96
94	96.9	96.7	96.9	96.7	96.6	96.8
95	97.7	97.6	97.7	97.6	97.4	97.6
96	98.5	98.4	98.5	98.4	98.3	98.5
97	99.3	99.2	99.3	99.3	99.2	99.4
98	100.2	100.1	100.2	100.2	100.1	100.2
99	101.1	100.9	101.1	101.1	100.9	101.2
100	102	101.8	102	102	101.8	102.1

Odds of living to age in Lithuania vs Sao Tome and Principe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.5% in Lithuania and 77.8% in Sao Tome and Principe are expected to survive till at least 60 years old, 71.7% and 59.8% will live to 70 years or older, 50.6% and 32.7% to 80+ years, and 18.2% and 7.5% 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			Sao Tome
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	98.9%	98.9%	99%
2	99.7%	99.7%	99.7%	98.9%	98.8%	99%
3	99.7%	99.6%	99.7%	98.8%	98.7%	98.9%
4	99.6%	99.6%	99.7%	98.8%	98.7%	98.9%
5	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
6	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
7	99.6%	99.6%	99.6%	98.6%	98.5%	98.7%
8	99.6%	99.6%	99.6%	98.6%	98.5%	98.7%
9	99.6%	99.6%	99.6%	98.6%	98.5%	98.7%
10	99.6%	99.6%	99.6%	98.5%	98.4%	98.6%
11	99.6%	99.6%	99.6%	98.5%	98.4%	98.6%
12	99.6%	99.5%	99.6%	98.5%	98.4%	98.5%
13	99.5%	99.5%	99.6%	98.4%	98.3%	98.5%
14	99.5%	99.5%	99.5%	98.4%	98.3%	98.5%
15	99.5%	99.5%	99.5%	98.3%	98.2%	98.4%
16	99.5%	99.4%	99.5%	98.2%	98.1%	98.3%
17	99.4%	99.4%	99.5%	98.1%	98%	98.3%
18	99.4%	99.3%	99.5%	98%	97.9%	98.2%
19	99.4%	99.3%	99.4%	97.9%	97.7%	98.1%
20	99.3%	99.2%	99.4%	97.7%	97.5%	97.9%
21	99.2%	99.1%	99.4%	97.6%	97.3%	97.8%
22	99.2%	99%	99.4%	97.4%	97.1%	97.7%
23	99.1%	98.9%	99.3%	97.2%	96.8%	97.6%
24	99%	98.8%	99.3%	97%	96.6%	97.5%
25	99%	98.7%	99.3%	96.9%	96.3%	97.4%
26	98.9%	98.6%	99.2%	96.7%	96.1%	97.3%
27	98.8%	98.4%	99.2%	96.5%	95.8%	97.1%
28	98.7%	98.3%	99.2%	96.3%	95.6%	97%
29	98.6%	98.1%	99.1%	96.1%	95.3%	96.9%
30	98.5%	97.9%	99.1%	95.9%	95%	96.7%
31	98.4%	97.7%	99%	95.7%	94.7%	96.6%
32	98.2%	97.6%	98.9%	95.5%	94.4%	96.5%
33	98.1%	97.3%	98.9%	95.2%	94.1%	96.3%
34	97.9%	97.1%	98.8%	95%	93.8%	96.1%
35	97.7%	96.8%	98.7%	94.7%	93.5%	96%
36	97.5%	96.5%	98.6%	94.4%	93.1%	95.8%
37	97.3%	96.2%	98.5%	94.2%	92.7%	95.6%
38	97.1%	95.9%	98.4%	93.9%	92.3%	95.4%
39	96.8%	95.5%	98.3%	93.5%	91.9%	95.2%
40	96.5%	95.1%	98.1%	93.2%	91.4%	94.9%
41	96.3%	94.7%	98%	92.8%	91%	94.7%
42	96%	94.2%	97.9%	92.4%	90.4%	94.4%
43	95.6%	93.8%	97.7%	92%	89.9%	94.1%
44	95.3%	93.3%	97.5%	91.5%	89.3%	93.8%
45	94.9%	92.8%	97.3%	91.1%	88.7%	93.5%
46	94.5%	92.2%	97.1%	90.5%	88%	93.1%
47	94.1%	91.6%	96.9%	90%	87.2%	92.7%
48	93.7%	91%	96.7%	89.4%	86.4%	92.3%
49	93.2%	90.3%	96.4%	88.7%	85.6%	91.9%
50	92.7%	89.6%	96.1%	88%	84.7%	91.4%
51	92.2%	88.8%	95.9%	87.3%	83.7%	90.9%
52	91.6%	88%	95.5%	86.5%	82.7%	90.4%
53	91%	87.2%	95.2%	85.6%	81.6%	89.8%
54	90.3%	86.2%	94.9%	84.7%	80.4%	89.2%
55	89.6%	85.2%	94.5%	83.7%	79.2%	88.5%
56	88.9%	84.1%	94.1%	82.7%	77.9%	87.8%
57	88.1%	83%	93.7%	81.6%	76.5%	87%
58	87.3%	81.8%	93.2%	80.4%	75%	86.2%
59	86.4%	80.6%	92.7%	79.1%	73.4%	85.3%
60	85.5%	79.2%	92.2%	77.8%	71.8%	84.4%
61	84.4%	77.7%	91.6%	76.4%	70%	83.4%
62	83.3%	76.1%	90.9%	74.9%	68.2%	82.4%
63	82.1%	74.4%	90.2%	73.4%	66.2%	81.2%
64	80.9%	72.6%	89.4%	71.7%	64.2%	80.1%
65	79.5%	70.7%	88.6%	70%	62%	78.8%
66	78.1%	68.7%	87.7%	68.1%	59.8%	77.4%
67	76.5%	66.6%	86.7%	66.2%	57.5%	75.9%
68	75%	64.4%	85.7%	64.1%	55.1%	74.3%
69	73.4%	62.2%	84.6%	62%	52.7%	72.6%
70	71.7%	60%	83.4%	59.8%	50.1%	70.7%
71	70%	57.7%	82.2%	57.4%	47.5%	68.8%
72	68.2%	55.4%	80.9%	55%	44.9%	66.7%
73	66.3%	53%	79.4%	52.5%	42.2%	64.4%
74	64.4%	50.5%	77.8%	49.9%	39.5%	62%
75	62.3%	48.1%	76%	47.1%	36.7%	59.4%
76	60.2%	45.5%	74.2%	44.3%	33.9%	56.7%
77	57.9%	42.9%	72.1%	41.5%	31.2%	53.8%
78	55.6%	40.3%	69.9%	38.6%	28.4%	50.8%
79	53.2%	37.8%	67.6%	35.6%	25.7%	47.6%
80	50.6%	35.2%	64.9%	32.7%	23.1%	44.3%
81	47.8%	32.6%	61.9%	29.7%	20.5%	40.9%
82	44.9%	29.9%	58.7%	26.8%	18%	37.4%
83	41.9%	27.2%	55.3%	23.9%	15.7%	33.8%
84	38.7%	24.6%	51.5%	21.1%	13.5%	30.3%
85	35.4%	22%	47.5%	18.4%	11.5%	26.8%
86	31.9%	19.5%	43.2%	15.8%	9.63%	23.4%
87	28.4%	16.9%	38.7%	13.5%	7.97%	20.2%
88	24.9%	14.4%	34.2%	11.3%	6.49%	17.1%
89	21.5%	12.2%	29.7%	9.28%	5.2%	14.3%
90	18.2%	10.1%	25.4%	7.5%	4.09%	11.7%
91	15.1%	8.14%	21.3%	5.96%	3.15%	9.43%
92	12.3%	6.55%	17.4%	4.63%	2.38%	7.43%
93	9.77%	5.09%	13.9%	3.52%	1.76%	5.73%
94	7.49%	3.77%	10.7%	2.62%	1.27%	4.32%
95	5.59%	2.73%	8.08%	1.91%	0.89%	3.18%
96	4.07%	1.95%	5.91%	1.35%	0.62%	2.28%
97	2.86%	1.35%	4.17%	0.93%	0.41%	1.59%
98	1.94%	0.91%	2.84%	0.63%	0.27%	1.08%
99	1.27%	0.59%	1.86%	0.41%	0.17%	0.71%
100	0.8%	0.37%	1.18%	0.26%	0.11%	0.45%

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 1.07% in Sao Tome and Principe, 0.13% vs 0.22% at age 30, 1.22% vs 1.8% at 60, and 5.47% vs 9.08% at 80.

Below is a graph displaying the probabilities of dying in Lithuania compared to Sao Tome and Principe at any given age.

Table

Age	Probability of dying
	Lithuania			Sao Tome
	Average	Male	Female	Average	Male	Female
0	0.3%	0.31%	0.29%	1.07%	1.14%	0.99%
1	0.03%	0.03%	0.03%	0.06%	0.06%	0.05%
2	0.01%	0.01%	0.01%	0.05%	0.06%	0.05%
3	0.01%	0.01%	0.01%	0.05%	0.05%	0.05%
4	0.01%	0.01%	0.01%	0.05%	0.05%	0.05%
5	0.01%	0.009%	0.01%	0.05%	0.05%	0.04%
6	0.01%	0.009%	0.01%	0.04%	0.05%	0.04%
7	0.01%	0.01%	0.01%	0.04%	0.04%	0.04%
8	0.01%	0.01%	0.01%	0.04%	0.04%	0.04%
9	0.01%	0.009%	0.01%	0.04%	0.04%	0.04%
10	0.01%	0.01%	0.01%	0.03%	0.03%	0.04%
11	0.01%	0.02%	0.009%	0.04%	0.04%	0.04%
12	0.01%	0.02%	0.01%	0.04%	0.04%	0.04%
13	0.02%	0.02%	0.02%	0.05%	0.05%	0.05%
14	0.03%	0.03%	0.02%	0.06%	0.06%	0.06%
15	0.03%	0.04%	0.02%	0.07%	0.08%	0.07%
16	0.03%	0.05%	0.02%	0.1%	0.11%	0.08%
17	0.03%	0.04%	0.02%	0.12%	0.14%	0.1%
18	0.05%	0.07%	0.03%	0.14%	0.18%	0.11%
19	0.06%	0.1%	0.03%	0.16%	0.21%	0.11%
20	0.06%	0.09%	0.03%	0.17%	0.23%	0.12%
21	0.06%	0.08%	0.03%	0.18%	0.24%	0.12%
22	0.06%	0.09%	0.03%	0.18%	0.25%	0.11%
23	0.07%	0.1%	0.03%	0.18%	0.25%	0.11%
24	0.07%	0.11%	0.03%	0.18%	0.25%	0.12%
25	0.08%	0.12%	0.03%	0.19%	0.26%	0.12%
26	0.08%	0.13%	0.04%	0.19%	0.27%	0.13%
27	0.09%	0.14%	0.04%	0.2%	0.27%	0.13%
28	0.11%	0.18%	0.04%	0.21%	0.28%	0.14%
29	0.13%	0.2%	0.05%	0.22%	0.29%	0.14%
30	0.13%	0.19%	0.06%	0.22%	0.3%	0.15%
31	0.13%	0.2%	0.06%	0.23%	0.31%	0.15%
32	0.15%	0.23%	0.06%	0.24%	0.33%	0.16%
33	0.18%	0.26%	0.09%	0.26%	0.34%	0.17%
34	0.19%	0.28%	0.09%	0.27%	0.36%	0.18%
35	0.2%	0.29%	0.1%	0.29%	0.38%	0.19%
36	0.21%	0.3%	0.1%	0.3%	0.41%	0.2%
37	0.23%	0.34%	0.11%	0.32%	0.43%	0.22%
38	0.27%	0.41%	0.12%	0.35%	0.46%	0.23%
39	0.28%	0.42%	0.13%	0.37%	0.5%	0.25%
40	0.29%	0.42%	0.13%	0.4%	0.53%	0.26%
41	0.32%	0.48%	0.14%	0.43%	0.57%	0.28%
42	0.34%	0.5%	0.16%	0.46%	0.61%	0.3%
43	0.36%	0.51%	0.19%	0.49%	0.66%	0.32%
44	0.38%	0.55%	0.2%	0.53%	0.71%	0.35%
45	0.42%	0.61%	0.21%	0.58%	0.77%	0.38%
46	0.45%	0.65%	0.23%	0.62%	0.83%	0.41%
47	0.48%	0.7%	0.26%	0.68%	0.9%	0.45%
48	0.51%	0.75%	0.27%	0.73%	0.98%	0.48%
49	0.53%	0.79%	0.27%	0.79%	1.06%	0.52%
50	0.56%	0.84%	0.3%	0.86%	1.14%	0.55%
51	0.62%	0.9%	0.34%	0.92%	1.23%	0.59%
52	0.66%	0.98%	0.35%	0.99%	1.33%	0.64%
53	0.71%	1.08%	0.36%	1.07%	1.43%	0.69%
54	0.79%	1.18%	0.42%	1.15%	1.54%	0.74%
55	0.84%	1.28%	0.43%	1.24%	1.66%	0.8%
56	0.87%	1.36%	0.42%	1.34%	1.79%	0.87%
57	0.92%	1.41%	0.48%	1.45%	1.93%	0.94%
58	1%	1.51%	0.55%	1.56%	2.09%	1.01%
59	1.11%	1.71%	0.58%	1.67%	2.26%	1.09%
60	1.22%	1.9%	0.64%	1.8%	2.45%	1.17%
61	1.32%	2.05%	0.72%	1.93%	2.65%	1.26%
62	1.43%	2.2%	0.79%	2.08%	2.86%	1.36%
63	1.53%	2.4%	0.85%	2.25%	3.09%	1.47%
64	1.66%	2.63%	0.92%	2.44%	3.33%	1.6%
65	1.82%	2.86%	1.03%	2.64%	3.59%	1.75%
66	1.95%	3.08%	1.13%	2.85%	3.85%	1.92%
67	2.04%	3.25%	1.17%	3.09%	4.14%	2.1%
68	2.14%	3.39%	1.28%	3.34%	4.46%	2.31%
69	2.26%	3.57%	1.39%	3.6%	4.8%	2.54%
70	2.39%	3.84%	1.46%	3.9%	5.17%	2.79%
71	2.57%	4.09%	1.63%	4.23%	5.57%	3.07%
72	2.77%	4.33%	1.84%	4.6%	6.01%	3.38%
73	2.96%	4.6%	2.02%	5%	6.47%	3.74%
74	3.18%	4.9%	2.22%	5.44%	6.98%	4.14%
75	3.44%	5.24%	2.49%	5.93%	7.53%	4.59%
76	3.73%	5.69%	2.73%	6.45%	8.14%	5.09%
77	4.03%	6.08%	3.02%	7.02%	8.8%	5.65%
78	4.36%	6.32%	3.43%	7.64%	9.51%	6.28%
79	4.83%	6.74%	3.96%	8.33%	10.3%	6.96%
80	5.47%	7.54%	4.56%	9.08%	11.1%	7.72%
81	6.08%	8.22%	5.18%	9.9%	12%	8.54%
82	6.76%	8.92%	5.88%	10.8%	13%	9.44%
83	7.62%	9.79%	6.77%	11.7%	14%	10.4%
84	8.57%	10.5%	7.83%	12.7%	15%	11.5%
85	9.7%	11.5%	9.02%	13.8%	16.1%	12.6%
86	11.1%	13.2%	10.3%	15%	17.3%	13.8%
87	12.4%	14.6%	11.7%	16.3%	18.6%	15.2%
88	13.6%	15.3%	13.1%	17.7%	19.9%	16.5%
89	15.3%	17.5%	14.6%	19.1%	21.4%	18%
90	16.9%	19.3%	16.2%	20.6%	22.9%	19.6%
91	18.4%	19.5%	18.1%	22.2%	24.5%	21.2%
92	20.8%	22.3%	20.4%	23.9%	26.1%	22.9%
93	23.3%	25.9%	22.6%	25.6%	27.8%	24.6%
94	25.3%	27.5%	24.7%	27.3%	29.5%	26.4%
95	27.3%	28.6%	26.9%	29.1%	31.2%	28.3%
96	29.7%	30.7%	29.5%	31%	32.9%	30.2%
97	32.1%	33%	31.9%	32.9%	34.7%	32.2%
98	34.5%	35.1%	34.4%	34.8%	36.4%	34.2%
99	37%	37.3%	36.9%	36.7%	38.2%	36.1%
100	39.4%	39.5%	39.4%	38.6%	39.9%	38.1%

Death rate by age in Lithuania compared to Sao Tome and Principe

In Lithuania, the most common age of death is 86, compared to 80 in Sao Tome and Principe. The median age of death is 80.2 in Lithuania and 73.9 in Sao Tome and Principe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Lithuania			Sao Tome
	Total	Male	Female	Total	Male	Female
0	300	313	286.8	1,066	1,139	990
1	26.1	25	27.2	54.6	57.6	51.6
2	13.5	14.8	12.1	52.8	55.6	49.8
3	14.1	14.7	13.5	50.8	53.5	48
4	11.6	12.5	10.6	48.7	51.1	46.1
5	9.64	9.44	9.85	46.2	48.3	44
6	9.86	8.86	10.9	43.3	44.9	41.7
7	11.6	12.2	10.9	40.2	41.2	39.3
8	12.3	13.5	11	37.4	37.7	37.1
9	10.5	9.31	11.8	35.3	35	35.5
10	10.7	11	10.4	34.4	33.8	35.1
11	12.4	16.1	8.58	35.4	34.6	36.2
12	14.6	19.1	9.9	38.8	38.2	39.4
13	19.5	22.2	16.7	45.6	45.8	45.4
14	25.5	29.5	21.2	56.5	58.7	54.4
15	29.7	41.7	17.2	72.6	78.6	66.6
16	31.5	46.8	15.4	93.4	106.1	80.8
17	34.8	44.6	24.5	116.9	139.2	94.7
18	51.5	72.2	30.3	139.5	173.4	105.8
19	63.7	96.1	30.5	156.9	202.2	112.1
20	57.1	84.8	28.7	167.7	222.2	114
21	57.7	84	30.4	172.6	233.5	113.4
22	63.4	93.8	31.7	174.3	238.9	112.2
23	65.4	100.9	28.6	175.8	242.2	112.2
24	69	108.8	27.7	178.4	245.5	113.9
25	78.4	120.5	34.1	182.6	250	117.4
26	83.7	125.8	38.7	188.1	255.9	122.1
27	92.2	140.6	40	194.1	262.8	127.3
28	110.9	176.3	40.7	200.8	270.5	132.6
29	125.9	197.9	47.5	207.9	278.8	137.7
30	125.7	185	60.4	215.5	288	142.9
31	132.4	197.5	59.8	223.7	298.3	148.5
32	150.7	228.5	63.7	232.9	310	155.1
33	175.2	254	85.8	243.7	324	163
34	190.2	273.5	93.8	256.4	340	172.5
35	196.7	285.1	94.3	270.8	358	183.5
36	204.4	291.9	102	286.9	379	195.5
37	227.4	326	111.7	305	402	208.3
38	266.1	393	117.2	324	427	221.6
39	274.7	401	126.4	346	455	235.3
40	278.1	404	132.3	370	486	249.9
41	305	452	133.7	395	519	265.9
42	324	467	157.7	422	556	284.1
43	340	474	185.4	453	595	305
44	366	514	194.3	487	638	329
45	394	563	201.8	524	684	355
46	421	597	225.2	565	734	384
47	453	639	247.5	608	787	413
48	480	683	259.7	653	844	443
49	498	718	263.3	702	905	474
50	523	751	284.2	753	968	506
51	568	798	328	805	1,034	539
52	604	865	331	859	1,101	576
53	647	941	343	916	1,170	617
54	711	1,015	399	976	1,241	663
55	750	1,092	403	1,041	1,315	712
56	774	1,148	399	1,109	1,393	764
57	807	1,171	451	1,180	1,476	819
58	869	1,235	513	1,252	1,564	874
59	959	1,381	542	1,325	1,658	931
60	1,043	1,501	590	1,399	1,755	989
61	1,118	1,589	657	1,474	1,854	1,052
62	1,189	1,676	720	1,557	1,952	1,121
63	1,260	1,787	764	1,648	2,047	1,198
64	1,345	1,909	819	1,747	2,138	1,284
65	1,444	2,024	912	1,846	2,224	1,380
66	1,523	2,114	988	1,943	2,305	1,485
67	1,560	2,162	1,017	2,042	2,383	1,597
68	1,601	2,182	1,094	2,139	2,458	1,717
69	1,655	2,222	1,173	2,231	2,528	1,842
70	1,715	2,303	1,216	2,329	2,592	1,973
71	1,803	2,358	1,337	2,432	2,649	2,111
72	1,892	2,395	1,489	2,532	2,696	2,256
73	1,964	2,436	1,605	2,625	2,732	2,408
74	2,045	2,476	1,728	2,714	2,755	2,566
75	2,146	2,520	1,890	2,795	2,766	2,727
76	2,244	2,591	2,026	2,861	2,762	2,887
77	2,331	2,613	2,178	2,912	2,743	3,042
78	2,423	2,549	2,399	2,948	2,706	3,186
79	2,565	2,545	2,674	2,965	2,650	3,313
80	2,767	2,656	2,962	2,966	2,571	3,417
81	2,909	2,678	3,207	2,938	2,468	3,491
82	3,036	2,666	3,454	2,881	2,341	3,529
83	3,193	2,666	3,743	2,797	2,193	3,527
84	3,316	2,579	4,034	2,684	2,027	3,481
85	3,433	2,533	4,283	2,546	1,850	3,387
86	3,544	2,572	4,457	2,383	1,666	3,247
87	3,529	2,463	4,527	2,194	1,479	3,062
88	3,391	2,203	4,481	1,990	1,293	2,836
89	3,284	2,136	4,335	1,773	1,111	2,577
90	3,082	1,945	4,117	1,549	936	2,294
91	2,784	1,587	3,850	1,325	772	1,998
92	2,564	1,463	3,547	1,107	622	1,700
93	2,280	1,316	3,143	901	488	1,412
94	1,896	1,039	2,653	716	374	1,142
95	1,524	783	2,174	555	278.8	899
96	1,209	600	1,741	418	202.5	688
97	919	445	1,331	306	143	511
98	670	318	975	217.7	98.2	368
99	470	219.3	687	149.9	65.5	256.6
100	163.8	50.3	259.5	26.2	0	63.1

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 Sao Tome and Principe 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 Sao Tome and Principe: Numbers and Trends

By topic vs comparisons:

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