Life Expectancy in Lithuania vs Sao Tome and Principe (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Sao Tome and Principe

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Sao Tome
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102	101.8	102.1
99	101.1	100.9	101.1	101.1	100.9	101.2
98	100.2	100.1	100.2	100.2	100.1	100.3
97	99.3	99.2	99.3	99.3	99.2	99.4
96	98.5	98.4	98.5	98.4	98.3	98.5
95	97.7	97.6	97.7	97.6	97.4	97.7
94	96.9	96.7	96.9	96.8	96.6	96.8
93	96.1	95.9	96.1	95.9	95.7	96
92	95.4	95.2	95.4	95.1	94.9	95.2
91	94.6	94.4	94.7	94.3	94.1	94.4
90	94	93.7	94	93.5	93.2	93.7
89	93.3	93	93.4	92.8	92.4	92.9
88	92.6	92.3	92.7	92	91.7	92.2
87	92	91.6	92.1	91.3	90.9	91.5
86	91.4	90.9	91.6	90.6	90.1	90.8
85	90.8	90.3	91	89.9	89.4	90.1
84	90.3	89.7	90.5	89.2	88.7	89.5
83	89.8	89.1	90	88.5	87.9	88.9
82	89.3	88.5	89.6	87.9	87.2	88.3
81	88.8	88	89.2	87.3	86.6	87.7
80	88.4	87.4	88.8	86.6	85.9	87.1
79	88	86.9	88.4	86	85.2	86.6
78	87.5	86.4	88.1	85.5	84.6	86.1
77	87.1	85.8	87.8	84.9	84	85.6
76	86.8	85.3	87.5	84.4	83.4	85.2
75	86.4	84.8	87.2	83.9	82.8	84.7
74	86	84.3	86.9	83.4	82.2	84.3
73	85.6	83.8	86.6	82.9	81.6	83.9
72	85.3	83.3	86.4	82.4	81.1	83.5
71	84.9	82.9	86.1	81.9	80.6	83.2
70	84.6	82.4	85.9	81.5	80	82.8
69	84.2	81.9	85.7	81.1	79.5	82.5
68	83.9	81.5	85.5	80.6	79.1	82.2
67	83.6	81	85.3	80.2	78.6	81.8
66	83.3	80.6	85.1	79.9	78.1	81.6
65	82.9	80.2	84.9	79.5	77.7	81.3
64	82.6	79.8	84.7	79.1	77.2	81
63	82.3	79.4	84.5	78.8	76.8	80.8
62	82.1	79	84.3	78.4	76.4	80.5
61	81.8	78.7	84.2	78.1	76	80.3
60	81.5	78.3	84	77.8	75.6	80
59	81.3	78	83.9	77.5	75.3	79.8
58	81.1	77.7	83.7	77.2	74.9	79.6
57	80.9	77.4	83.6	76.9	74.6	79.4
56	80.7	77.2	83.5	76.6	74.3	79.2
55	80.4	76.9	83.4	76.4	74	79
54	80.2	76.6	83.3	76.1	73.7	78.8
53	80.1	76.4	83.2	75.9	73.4	78.7
52	79.9	76.2	83.1	75.7	73.1	78.5
51	79.7	75.9	82.9	75.4	72.8	78.3
50	79.5	75.7	82.9	75.2	72.6	78.2
49	79.4	75.5	82.8	75	72.3	78
48	79.2	75.3	82.7	74.8	72.1	77.9
47	79.1	75.1	82.6	74.7	71.9	77.8
46	78.9	74.9	82.5	74.5	71.7	77.6
45	78.8	74.8	82.4	74.3	71.5	77.5
44	78.7	74.6	82.3	74.2	71.3	77.4
43	78.5	74.4	82.3	74	71.1	77.3
42	78.4	74.3	82.2	73.9	70.9	77.2
41	78.3	74.1	82.2	73.7	70.8	77.1
40	78.2	74	82.1	73.6	70.6	77
39	78.1	73.9	82	73.5	70.5	76.9
38	78	73.7	82	73.4	70.3	76.8
37	77.9	73.6	81.9	73.3	70.2	76.7
36	77.8	73.5	81.9	73.1	70	76.7
35	77.7	73.4	81.9	73	69.9	76.6
34	77.6	73.3	81.8	72.9	69.8	76.5
33	77.6	73.2	81.8	72.8	69.7	76.4
32	77.5	73.1	81.7	72.7	69.5	76.4
31	77.4	73	81.7	72.7	69.4	76.3
30	77.4	72.9	81.7	72.6	69.3	76.2
29	77.3	72.8	81.7	72.5	69.2	76.2
28	77.3	72.7	81.6	72.4	69.1	76.1
27	77.2	72.7	81.6	72.3	69	76
26	77.2	72.6	81.6	72.2	68.9	76
25	77.1	72.6	81.6	72.1	68.8	75.9
24	77.1	72.5	81.6	72	68.6	75.9
23	77.1	72.5	81.5	71.9	68.5	75.8
22	77	72.4	81.5	71.9	68.4	75.8
21	77	72.4	81.5	71.8	68.3	75.7
20	77	72.3	81.5	71.7	68.2	75.6
19	76.9	72.3	81.5	71.6	68.1	75.6
18	76.9	72.2	81.4	71.5	68	75.5
17	76.9	72.2	81.4	71.5	68	75.5
16	76.9	72.2	81.4	71.4	67.9	75.4
15	76.8	72.2	81.4	71.4	67.9	75.4
14	76.8	72.2	81.4	71.3	67.8	75.3
13	76.8	72.1	81.4	71.3	67.8	75.3
12	76.8	72.1	81.4	71.3	67.8	75.3
11	76.8	72.1	81.4	71.3	67.8	75.3
10	76.8	72.1	81.4	71.3	67.7	75.2
9	76.8	72.1	81.4	71.2	67.7	75.2
8	76.8	72.1	81.3	71.2	67.7	75.2
7	76.8	72.1	81.3	71.2	67.7	75.2
6	76.8	72.1	81.3	71.2	67.6	75.1
5	76.8	72.1	81.3	71.1	67.6	75.1
4	76.7	72.1	81.3	71.1	67.6	75.1
3	76.7	72.1	81.3	71.1	67.6	75
2	76.7	72	81.3	71	67.5	75
1	76.7	72	81.3	71	67.5	75
0	76.5	71.8	81.1	70.3	66.7	74.3

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 72.6 in Sao Tome and Principe, rising to 82.9 and 79.5 at 65, and to 88.4 and 86.6 at 80 — higher than the 76.5 and 70.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Sao Tome and Principe

Male

Female

1x

Age	Survival probability
	Lithuania			Sao Tome
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.27%	0.11%	0.47%
99	1.32%	0.62%	1.92%	0.42%	0.18%	0.73%
98	2.01%	0.95%	2.92%	0.65%	0.28%	1.11%
97	2.95%	1.42%	4.28%	0.96%	0.42%	1.64%
96	4.19%	2.04%	6.06%	1.39%	0.63%	2.34%
95	5.75%	2.85%	8.27%	1.96%	0.91%	3.26%
94	7.68%	3.93%	11%	2.69%	1.3%	4.42%
93	10%	5.28%	14.2%	3.61%	1.79%	5.86%
92	12.6%	6.79%	17.7%	4.73%	2.43%	7.58%
91	15.4%	8.41%	21.6%	6.08%	3.21%	9.61%
90	18.6%	10.4%	25.8%	7.65%	4.16%	11.9%
89	21.9%	12.6%	30.1%	9.44%	5.29%	14.5%
88	25.3%	14.8%	34.6%	11.5%	6.6%	17.4%
87	28.8%	17.3%	39.2%	13.7%	8.09%	20.5%
86	32.4%	19.9%	43.6%	16.1%	9.78%	23.7%
85	35.8%	22.5%	47.9%	18.6%	11.6%	27.2%
84	39.2%	25.1%	51.9%	21.3%	13.7%	30.7%
83	42.4%	27.8%	55.7%	24.2%	15.9%	34.2%
82	45.4%	30.5%	59.1%	27.1%	18.3%	37.7%
81	48.3%	33.2%	62.3%	30%	20.7%	41.2%
80	51.1%	35.8%	65.3%	33%	23.3%	44.7%
79	53.6%	38.4%	67.9%	36%	26%	48%
78	56%	40.9%	70.3%	38.9%	28.7%	51.2%
77	58.3%	43.5%	72.5%	41.9%	31.5%	54.2%
76	60.6%	46.1%	74.5%	44.7%	34.2%	57.1%
75	62.7%	48.6%	76.3%	47.5%	37%	59.8%
74	64.7%	51.1%	78.1%	50.2%	39.8%	62.4%
73	66.7%	53.5%	79.6%	52.9%	42.5%	64.8%
72	68.6%	55.9%	81.1%	55.4%	45.2%	67%
71	70.4%	58.2%	82.4%	57.8%	47.9%	69.1%
70	72.1%	60.5%	83.6%	60.1%	50.5%	71.1%
69	73.7%	62.7%	84.8%	62.4%	53%	72.9%
68	75.3%	64.9%	85.9%	64.5%	55.5%	74.6%
67	76.8%	67%	86.9%	66.5%	57.8%	76.2%
66	78.3%	69.1%	87.9%	68.5%	60.1%	77.7%
65	79.8%	71.1%	88.8%	70.3%	62.4%	79.1%
64	81.1%	73%	89.6%	72%	64.5%	80.3%
63	82.3%	74.8%	90.3%	73.7%	66.5%	81.5%
62	83.5%	76.4%	91%	75.2%	68.5%	82.6%
61	84.6%	78%	91.7%	76.7%	70.3%	83.7%
60	85.7%	79.5%	92.3%	78.1%	72.1%	84.7%
59	86.6%	80.8%	92.8%	79.4%	73.7%	85.6%
58	87.5%	82.1%	93.3%	80.7%	75.3%	86.5%
57	88.3%	83.2%	93.7%	81.8%	76.8%	87.3%
56	89%	84.4%	94.1%	82.9%	78.2%	88%
55	89.8%	85.4%	94.5%	84%	79.5%	88.7%
54	90.5%	86.4%	94.9%	84.9%	80.7%	89.4%
53	91.1%	87.4%	95.3%	85.8%	81.9%	90%
52	91.7%	88.2%	95.6%	86.7%	83%	90.6%
51	92.3%	89%	95.9%	87.5%	84%	91.1%
50	92.8%	89.7%	96.2%	88.2%	84.9%	91.6%
49	93.3%	90.4%	96.5%	88.9%	85.8%	92.1%
48	93.7%	91.1%	96.7%	89.6%	86.7%	92.5%
47	94.2%	91.8%	97%	90.2%	87.5%	92.9%
46	94.6%	92.3%	97.2%	90.7%	88.2%	93.3%
45	95%	92.9%	97.4%	91.3%	88.9%	93.7%
44	95.4%	93.4%	97.6%	91.7%	89.5%	94%
43	95.7%	93.9%	97.8%	92.2%	90.1%	94.3%
42	96%	94.3%	97.9%	92.6%	90.6%	94.6%
41	96.3%	94.8%	98%	93%	91.1%	94.8%
40	96.6%	95.2%	98.2%	93.3%	91.6%	95.1%
39	96.9%	95.6%	98.3%	93.7%	92.1%	95.3%
38	97.1%	96%	98.4%	94%	92.5%	95.5%
37	97.4%	96.3%	98.5%	94.3%	92.9%	95.7%
36	97.6%	96.6%	98.6%	94.6%	93.3%	95.9%
35	97.8%	96.9%	98.7%	94.9%	93.6%	96.1%
34	97.9%	97.1%	98.8%	95.1%	93.9%	96.3%
33	98.1%	97.4%	98.9%	95.3%	94.3%	96.4%
32	98.3%	97.6%	99%	95.6%	94.6%	96.6%
31	98.4%	97.8%	99%	95.8%	94.9%	96.7%
30	98.5%	98%	99.1%	96%	95.1%	96.8%
29	98.6%	98.2%	99.1%	96.2%	95.4%	97%
28	98.7%	98.3%	99.2%	96.4%	95.7%	97.1%
27	98.8%	98.5%	99.2%	96.6%	95.9%	97.2%
26	98.9%	98.6%	99.2%	96.8%	96.2%	97.4%
25	99%	98.7%	99.3%	97%	96.4%	97.5%
24	99.1%	98.8%	99.3%	97.1%	96.7%	97.6%
23	99.1%	98.9%	99.3%	97.3%	96.9%	97.7%
22	99.2%	99%	99.4%	97.5%	97.1%	97.8%
21	99.2%	99.1%	99.4%	97.6%	97.4%	97.9%
20	99.3%	99.2%	99.4%	97.8%	97.6%	98%
19	99.4%	99.3%	99.5%	98%	97.8%	98.1%
18	99.4%	99.4%	99.5%	98.1%	98%	98.2%
17	99.5%	99.4%	99.5%	98.2%	98.1%	98.3%
16	99.5%	99.4%	99.5%	98.3%	98.2%	98.4%
15	99.5%	99.5%	99.5%	98.4%	98.3%	98.5%
14	99.5%	99.5%	99.6%	98.4%	98.3%	98.5%
13	99.6%	99.5%	99.6%	98.5%	98.4%	98.6%
12	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%
10	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%
8	99.6%	99.6%	99.6%	98.6%	98.6%	98.7%
7	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
6	99.6%	99.6%	99.7%	98.7%	98.6%	98.8%
5	99.6%	99.6%	99.7%	98.8%	98.7%	98.9%
4	99.7%	99.6%	99.7%	98.8%	98.7%	98.9%
3	99.7%	99.7%	99.7%	98.9%	98.8%	99%
2	99.7%	99.7%	99.7%	98.9%	98.8%	99%
1	99.7%	99.7%	99.7%	99%	98.9%	99%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 78.1% in Sao Tome and Principe are expected to live past 60, 72.1% and 60.1% past 70, 51.1% and 33% past 80, and only 18.6% and 7.65% 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

Sao Tome and Principe

Male

Female

1x

Age	Probability of dying
	Lithuania			Sao Tome
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	38.5%	39.9%	38%
99	36.9%	37.2%	36.8%	36.6%	38.2%	36%
98	34.4%	35%	34.3%	34.6%	36.4%	34%
97	32%	32.8%	31.8%	32.7%	34.6%	32%
96	29.6%	30.6%	29.3%	30.8%	32.8%	30.1%
95	27.1%	28.5%	26.8%	29%	31.1%	28.2%
94	25.2%	27.3%	24.6%	27.2%	29.4%	26.3%
93	23.2%	25.7%	22.5%	25.5%	27.7%	24.5%
92	20.7%	22.1%	20.2%	23.8%	26.1%	22.8%
91	18.3%	19.3%	18%	22.1%	24.4%	21.1%
90	16.8%	19.1%	16.1%	20.5%	22.8%	19.5%
89	15.2%	17.3%	14.5%	19%	21.3%	17.9%
88	13.5%	15.1%	13%	17.6%	19.9%	16.5%
87	12.3%	14.4%	11.6%	16.2%	18.5%	15.1%
86	11%	13.1%	10.2%	14.9%	17.2%	13.8%
85	9.6%	11.4%	8.93%	13.8%	16%	12.5%
84	8.47%	10.4%	7.75%	12.7%	14.9%	11.4%
83	7.54%	9.67%	6.7%	11.7%	13.9%	10.4%
82	6.69%	8.81%	5.82%	10.7%	12.9%	9.38%
81	6.01%	8.11%	5.12%	9.85%	12%	8.48%
80	5.41%	7.44%	4.51%	9.03%	11.1%	7.66%
79	4.77%	6.65%	3.91%	8.29%	10.2%	6.91%
78	4.3%	6.23%	3.39%	7.61%	9.47%	6.23%
77	3.98%	6%	2.98%	6.99%	8.75%	5.61%
76	3.69%	5.61%	2.7%	6.42%	8.1%	5.05%
75	3.4%	5.16%	2.45%	5.88%	7.5%	4.55%
74	3.14%	4.82%	2.19%	5.4%	6.95%	4.11%
73	2.93%	4.53%	1.99%	4.96%	6.44%	3.71%
72	2.74%	4.26%	1.82%	4.56%	5.97%	3.36%
71	2.54%	4.02%	1.6%	4.19%	5.54%	3.04%
70	2.35%	3.77%	1.44%	3.87%	5.14%	2.77%
69	2.23%	3.51%	1.37%	3.58%	4.77%	2.52%
68	2.11%	3.33%	1.26%	3.31%	4.43%	2.29%
67	2.01%	3.19%	1.16%	3.06%	4.12%	2.09%
66	1.92%	3.03%	1.11%	2.83%	3.83%	1.9%
65	1.79%	2.81%	1.01%	2.61%	3.56%	1.74%
64	1.64%	2.58%	0.9%	2.4%	3.31%	1.59%
63	1.52%	2.36%	0.83%	2.22%	3.07%	1.46%
62	1.41%	2.17%	0.78%	2.06%	2.84%	1.35%
61	1.31%	2.01%	0.71%	1.92%	2.63%	1.25%
60	1.2%	1.86%	0.63%	1.79%	2.43%	1.16%
59	1.09%	1.69%	0.58%	1.67%	2.24%	1.08%
58	0.98%	1.48%	0.54%	1.55%	2.07%	1%
57	0.91%	1.39%	0.47%	1.43%	1.91%	0.93%
56	0.86%	1.34%	0.42%	1.33%	1.77%	0.86%
55	0.83%	1.26%	0.42%	1.23%	1.65%	0.79%
54	0.78%	1.16%	0.42%	1.14%	1.53%	0.73%
53	0.7%	1.06%	0.36%	1.06%	1.42%	0.68%
52	0.65%	0.97%	0.34%	0.98%	1.32%	0.63%
51	0.61%	0.88%	0.34%	0.91%	1.22%	0.59%
50	0.56%	0.83%	0.29%	0.84%	1.13%	0.55%
49	0.53%	0.78%	0.27%	0.78%	1.05%	0.51%
48	0.51%	0.74%	0.27%	0.72%	0.97%	0.47%
47	0.48%	0.69%	0.25%	0.67%	0.89%	0.44%
46	0.44%	0.64%	0.23%	0.61%	0.82%	0.41%
45	0.41%	0.6%	0.2%	0.57%	0.76%	0.37%
44	0.38%	0.54%	0.2%	0.52%	0.7%	0.34%
43	0.35%	0.5%	0.19%	0.48%	0.65%	0.32%
42	0.33%	0.49%	0.16%	0.45%	0.61%	0.3%
41	0.31%	0.47%	0.13%	0.42%	0.56%	0.28%
40	0.28%	0.42%	0.13%	0.39%	0.52%	0.26%
39	0.28%	0.41%	0.13%	0.36%	0.49%	0.24%
38	0.27%	0.4%	0.12%	0.34%	0.46%	0.23%
37	0.23%	0.33%	0.11%	0.32%	0.43%	0.21%
36	0.21%	0.3%	0.1%	0.3%	0.4%	0.2%
35	0.2%	0.29%	0.09%	0.28%	0.38%	0.19%
34	0.19%	0.28%	0.09%	0.26%	0.36%	0.18%
33	0.18%	0.26%	0.09%	0.25%	0.34%	0.17%
32	0.15%	0.23%	0.06%	0.24%	0.32%	0.16%
31	0.13%	0.2%	0.06%	0.23%	0.31%	0.15%
30	0.13%	0.19%	0.06%	0.22%	0.3%	0.14%
29	0.13%	0.2%	0.05%	0.21%	0.29%	0.14%
28	0.11%	0.18%	0.04%	0.2%	0.28%	0.13%
27	0.09%	0.14%	0.04%	0.2%	0.27%	0.13%
26	0.08%	0.13%	0.04%	0.19%	0.26%	0.12%
25	0.08%	0.12%	0.03%	0.18%	0.25%	0.12%
24	0.07%	0.11%	0.03%	0.18%	0.25%	0.11%
23	0.07%	0.1%	0.03%	0.18%	0.24%	0.11%
22	0.06%	0.09%	0.03%	0.17%	0.24%	0.11%
21	0.06%	0.08%	0.03%	0.17%	0.23%	0.11%
20	0.06%	0.08%	0.03%	0.17%	0.22%	0.11%
19	0.06%	0.09%	0.03%	0.16%	0.2%	0.11%
18	0.05%	0.07%	0.03%	0.14%	0.17%	0.1%
17	0.03%	0.04%	0.02%	0.12%	0.14%	0.09%
16	0.03%	0.05%	0.02%	0.09%	0.11%	0.08%
15	0.03%	0.04%	0.02%	0.07%	0.08%	0.07%
14	0.03%	0.03%	0.02%	0.06%	0.06%	0.05%
13	0.02%	0.02%	0.02%	0.05%	0.05%	0.04%
12	0.01%	0.02%	0.01%	0.04%	0.04%	0.04%
11	0.01%	0.02%	0.008%	0.03%	0.03%	0.04%
10	0.01%	0.01%	0.01%	0.03%	0.03%	0.03%
9	0.01%	0.009%	0.01%	0.03%	0.03%	0.03%
8	0.01%	0.01%	0.01%	0.04%	0.04%	0.04%
7	0.01%	0.01%	0.01%	0.04%	0.04%	0.04%
6	0.01%	0.009%	0.01%	0.04%	0.04%	0.04%
5	0.009%	0.009%	0.01%	0.05%	0.05%	0.04%
4	0.01%	0.01%	0.01%	0.05%	0.05%	0.05%
3	0.01%	0.01%	0.01%	0.05%	0.05%	0.05%
2	0.01%	0.01%	0.01%	0.05%	0.06%	0.05%
1	0.03%	0.02%	0.03%	0.05%	0.06%	0.05%
0	0.29%	0.3%	0.28%	1.03%	1.1%	0.95%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 1.03% in Sao Tome and Principe, 0.13% vs 0.22% at age 30, 1.2% vs 1.79% at 60, and 5.41% vs 9.03% at 80.

Death rate by age in Lithuania vs Sao Tome and Principe

Chart Table

Lithuania

Male

Female

Sao Tome and Principe

Male

Female

1x

Age	Death rate
	Lithuania			Sao Tome
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	28.7	0	67.6
99	485	230.3	706	154.4	67.1	264.1
98	690	333	1,000	223.8	100.6	378
97	945	465	1,362	314	146.3	524
96	1,240	624	1,777	428	206.8	704
95	1,559	812	2,213	567	284.5	918
94	1,933	1,074	2,695	731	381	1,163
93	2,322	1,356	3,186	920	497	1,435
92	2,605	1,503	3,588	1,126	632	1,726
91	2,822	1,627	3,887	1,345	784	2,025
90	3,119	1,989	4,148	1,570	950	2,321
89	3,315	2,179	4,361	1,794	1,127	2,604
88	3,420	2,242	4,500	2,012	1,310	2,862
87	3,556	2,501	4,539	2,217	1,497	3,086
86	3,561	2,606	4,462	2,402	1,684	3,269
85	3,442	2,562	4,282	2,564	1,869	3,407
84	3,319	2,605	4,028	2,704	2,046	3,497
83	3,194	2,688	3,733	2,815	2,212	3,540
82	3,036	2,683	3,441	2,901	2,359	3,539
81	2,903	2,691	3,191	2,956	2,485	3,498
80	2,761	2,665	2,945	2,980	2,587	3,421
79	2,559	2,550	2,657	2,983	2,665	3,315
78	2,410	2,551	2,381	2,965	2,720	3,186
77	2,321	2,611	2,161	2,926	2,755	3,041
76	2,234	2,586	2,009	2,870	2,773	2,884
75	2,134	2,512	1,873	2,795	2,775	2,722
74	2,030	2,466	1,712	2,711	2,763	2,561
73	1,953	2,423	1,589	2,622	2,738	2,402
72	1,881	2,380	1,473	2,524	2,701	2,250
71	1,785	2,341	1,322	2,422	2,653	2,104
70	1,696	2,284	1,202	2,325	2,595	1,966
69	1,642	2,203	1,159	2,232	2,529	1,835
68	1,590	2,161	1,081	2,134	2,458	1,709
67	1,542	2,140	1,004	2,033	2,383	1,590
66	1,507	2,091	975	1,935	2,304	1,477
65	1,429	2,002	900	1,832	2,221	1,373
64	1,330	1,887	809	1,732	2,135	1,277
63	1,248	1,765	754	1,638	2,043	1,190
62	1,177	1,655	711	1,552	1,948	1,113
61	1,106	1,569	648	1,475	1,849	1,045
60	1,028	1,481	582	1,398	1,750	982
59	942	1,363	535	1,322	1,652	924
58	857	1,218	506	1,247	1,558	867
57	800	1,155	445	1,172	1,469	812
56	766	1,132	394	1,101	1,386	758
55	742	1,077	398	1,032	1,308	705
54	702	1,001	394	968	1,234	656
53	639	928	338	908	1,163	611
52	596	853	327	852	1,094	570
51	560	787	324	797	1,026	533
50	518	741	280.7	743	961	500
49	493	708	260	693	897	468
48	475	674	256.5	646	837	438
47	448	630	244.5	600	780	408
46	417	589	222.4	557	726	378
45	391	555	199.3	517	677	350
44	361	507	192	480	631	324
43	336	467	183.2	447	588	300
42	320	461	155.8	416	549	279.4
41	301	446	132.1	389	513	261.4
40	275.1	398	130.8	363	479	245.4
39	271.3	396	125	340	449	231
38	262.3	387	115.9	319	421	217.4
37	224.5	322	110.3	299.7	396	204.2
36	201.3	287.8	100.8	282.2	373	191.5
35	194	281.1	93.1	266.2	352	179.6
34	186.8	269.6	92.7	251.8	334	168.8
33	172.2	250.4	84.7	239.2	318	159.4
32	148.5	225.2	62.9	228.5	305	151.6
31	130.3	194.6	59.1	219	292.9	145
30	123.6	182.3	59.6	210.6	282.6	139.5
29	123.7	194.9	46.9	203.2	273.5	134.4
28	109.5	173.6	40.2	196.3	265.2	129.4
27	90.6	138.4	39.5	189.9	257.6	124.1
26	82.1	123.9	38.2	183.8	250.7	119
25	77	118.5	33.7	178.3	244.8	114.3
24	67.9	107	27.3	174.2	240.3	110.9
23	64.5	99.2	28.2	171.8	237	109.2
22	62.3	92.2	31.2	170.5	233.7	109.1
21	56.7	82.6	30	168.8	228.3	110.2
20	56.2	83.3	28.3	163.7	217.2	110.7
19	62.7	94.3	30	153.1	197.5	108.8
18	50.7	70.8	29.8	136	169.4	102.7
17	34.2	43.8	24.1	113.9	135.9	91.9
16	30.9	45.9	15.2	90.9	103.6	78.3
15	29.1	40.8	16.8	70.6	76.7	64.5
14	25	28.9	20.8	55	57.3	52.7
13	19.1	21.8	16.4	44.3	44.7	43.9
12	14.3	18.6	9.7	37.7	37.3	38.2
11	12.2	15.7	8.41	34.4	33.8	35
10	10.5	10.8	10.2	33.4	33	33.9
9	10.3	9.11	11.5	34.3	34.2	34.4
8	12	13.2	10.7	36.3	36.8	35.9
7	11.3	12	10.7	39.1	40.2	37.9
6	9.63	8.66	10.7	42.1	43.8	40.3
5	9.42	9.23	9.62	44.8	47.1	42.5
4	11.3	12.2	10.4	47.3	50	44.5
3	13.8	14.4	13.1	49.4	52.4	46.4
2	13.2	14.4	11.8	51.3	54.5	48.1
1	25.4	24.3	26.4	53.3	56.5	49.9
0	291.9	305	278.5	1,028	1,104	950

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 79 in Sao Tome and Principe. The median age of death is 80.4 in Lithuania and 74.1 in Sao Tome and Principe, 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 Sao Tome and Principe more than their death rates.

Life expectancy in other countries

+ -

1x