Life Expectancy in Lithuania vs Philippines (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Philippines

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Philippines
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.9	101.7	101.9
99	101.1	100.9	101.1	100.9	100.8	100.9
98	100.2	100.1	100.2	100	99.9	100
97	99.3	99.2	99.3	99.1	99	99.1
96	98.5	98.4	98.5	98.2	98.1	98.2
95	97.7	97.6	97.7	97.3	97.2	97.4
94	96.9	96.7	96.9	96.5	96.4	96.5
93	96.1	95.9	96.1	95.7	95.5	95.7
92	95.4	95.2	95.4	94.9	94.7	94.9
91	94.6	94.4	94.7	94.1	93.8	94.1
90	94	93.7	94	93.3	93	93.3
89	93.3	93	93.4	92.5	92.2	92.6
88	92.6	92.3	92.7	91.7	91.4	91.8
87	92	91.6	92.1	91	90.6	91.1
86	91.4	90.9	91.6	90.2	89.9	90.4
85	90.8	90.3	91	89.5	89.1	89.7
84	90.3	89.7	90.5	88.8	88.4	89
83	89.8	89.1	90	88.1	87.7	88.3
82	89.3	88.5	89.6	87.5	87	87.7
81	88.8	88	89.2	86.9	86.3	87.1
80	88.4	87.4	88.8	86.2	85.6	86.5
79	88	86.9	88.4	85.6	85	86
78	87.5	86.4	88.1	85.1	84.3	85.4
77	87.1	85.8	87.8	84.5	83.7	84.9
76	86.8	85.3	87.5	83.9	83.1	84.4
75	86.4	84.8	87.2	83.4	82.5	84
74	86	84.3	86.9	82.9	82	83.5
73	85.6	83.8	86.6	82.4	81.4	83.1
72	85.3	83.3	86.4	82	80.9	82.7
71	84.9	82.9	86.1	81.5	80.4	82.3
70	84.6	82.4	85.9	81.1	79.9	82
69	84.2	81.9	85.7	80.7	79.4	81.6
68	83.9	81.5	85.5	80.3	79	81.3
67	83.6	81	85.3	79.9	78.5	81
66	83.3	80.6	85.1	79.5	78.1	80.7
65	82.9	80.2	84.9	79.2	77.7	80.4
64	82.6	79.8	84.7	78.9	77.3	80.2
63	82.3	79.4	84.5	78.5	76.9	79.9
62	82.1	79	84.3	78.2	76.5	79.7
61	81.8	78.7	84.2	78	76.2	79.5
60	81.5	78.3	84	77.7	75.9	79.3
59	81.3	78	83.9	77.4	75.6	79.1
58	81.1	77.7	83.7	77.2	75.2	78.9
57	80.9	77.4	83.6	76.9	75	78.7
56	80.7	77.2	83.5	76.7	74.7	78.5
55	80.4	76.9	83.4	76.4	74.4	78.3
54	80.2	76.6	83.3	76.2	74.1	78.2
53	80.1	76.4	83.2	76	73.9	78
52	79.9	76.2	83.1	75.8	73.7	77.8
51	79.7	75.9	82.9	75.6	73.4	77.7
50	79.5	75.7	82.9	75.4	73.2	77.5
49	79.4	75.5	82.8	75.2	73	77.4
48	79.2	75.3	82.7	75.1	72.8	77.3
47	79.1	75.1	82.6	74.9	72.6	77.2
46	78.9	74.9	82.5	74.8	72.4	77
45	78.8	74.8	82.4	74.6	72.3	76.9
44	78.7	74.6	82.3	74.5	72.1	76.8
43	78.5	74.4	82.3	74.4	72	76.7
42	78.4	74.3	82.2	74.2	71.8	76.6
41	78.3	74.1	82.2	74.1	71.7	76.6
40	78.2	74	82.1	74	71.5	76.5
39	78.1	73.9	82	73.9	71.4	76.4
38	78	73.7	82	73.8	71.3	76.3
37	77.9	73.6	81.9	73.7	71.2	76.2
36	77.8	73.5	81.9	73.6	71	76.2
35	77.7	73.4	81.9	73.5	70.9	76.1
34	77.6	73.3	81.8	73.4	70.8	76
33	77.6	73.2	81.8	73.3	70.7	76
32	77.5	73.1	81.7	73.3	70.6	75.9
31	77.4	73	81.7	73.2	70.5	75.9
30	77.4	72.9	81.7	73.1	70.4	75.8
29	77.3	72.8	81.7	73	70.3	75.8
28	77.3	72.7	81.6	73	70.3	75.7
27	77.2	72.7	81.6	72.9	70.2	75.7
26	77.2	72.6	81.6	72.8	70.1	75.6
25	77.1	72.6	81.6	72.8	70	75.6
24	77.1	72.5	81.6	72.7	69.9	75.5
23	77.1	72.5	81.5	72.6	69.8	75.5
22	77	72.4	81.5	72.6	69.8	75.5
21	77	72.4	81.5	72.5	69.7	75.4
20	77	72.3	81.5	72.5	69.6	75.4
19	76.9	72.3	81.5	72.4	69.6	75.4
18	76.9	72.2	81.4	72.4	69.5	75.3
17	76.9	72.2	81.4	72.3	69.5	75.3
16	76.9	72.2	81.4	72.3	69.4	75.3
15	76.8	72.2	81.4	72.3	69.4	75.2
14	76.8	72.2	81.4	72.2	69.3	75.2
13	76.8	72.1	81.4	72.2	69.3	75.2
12	76.8	72.1	81.4	72.2	69.3	75.2
11	76.8	72.1	81.4	72.2	69.3	75.1
10	76.8	72.1	81.4	72.1	69.2	75.1
9	76.8	72.1	81.4	72.1	69.2	75.1
8	76.8	72.1	81.3	72.1	69.2	75.1
7	76.8	72.1	81.3	72.1	69.2	75
6	76.8	72.1	81.3	72	69.1	75
5	76.8	72.1	81.3	72	69.1	75
4	76.7	72.1	81.3	71.9	69	74.9
3	76.7	72.1	81.3	71.8	68.9	74.8
2	76.7	72	81.3	71.7	68.8	74.7
1	76.7	72	81.3	71.5	68.6	74.5
0	76.5	71.8	81.1	70.2	67.2	73.2

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 73.1 in the Philippines, rising to 82.9 and 79.2 at 65, and to 88.4 and 86.2 at 80 — higher than the 76.5 and 70.2 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Lithuania and the Philippines.

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Philippines

Male

Female

1x

Age	Survival probability
	Lithuania			Philippines
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.15%	0.07%	0.23%
99	1.32%	0.62%	1.92%	0.26%	0.12%	0.39%
98	2.01%	0.95%	2.92%	0.43%	0.2%	0.63%
97	2.95%	1.42%	4.28%	0.67%	0.32%	0.98%
96	4.19%	2.04%	6.06%	1.01%	0.5%	1.48%
95	5.75%	2.85%	8.27%	1.48%	0.75%	2.15%
94	7.68%	3.93%	11%	2.1%	1.09%	3.01%
93	10%	5.28%	14.2%	2.89%	1.55%	4.12%
92	12.6%	6.79%	17.7%	3.9%	2.15%	5.5%
91	15.4%	8.41%	21.6%	5.13%	2.92%	7.18%
90	18.6%	10.4%	25.8%	6.61%	3.87%	9.16%
89	21.9%	12.6%	30.1%	8.34%	5.02%	11.5%
88	25.3%	14.8%	34.6%	10.3%	6.38%	14.1%
87	28.8%	17.3%	39.2%	12.6%	7.98%	17%
86	32.4%	19.9%	43.6%	15%	9.79%	20.1%
85	35.8%	22.5%	47.9%	17.7%	11.8%	23.4%
84	39.2%	25.1%	51.9%	20.6%	14.1%	26.9%
83	42.4%	27.8%	55.7%	23.5%	16.5%	30.5%
82	45.4%	30.5%	59.1%	26.6%	19.1%	34.2%
81	48.3%	33.2%	62.3%	29.8%	21.8%	37.9%
80	51.1%	35.8%	65.3%	33%	24.7%	41.5%
79	53.6%	38.4%	67.9%	36.2%	27.6%	45.1%
78	56%	40.9%	70.3%	39.5%	30.6%	48.6%
77	58.3%	43.5%	72.5%	42.6%	33.6%	52%
76	60.6%	46.1%	74.5%	45.8%	36.7%	55.2%
75	62.7%	48.6%	76.3%	48.8%	39.7%	58.3%
74	64.7%	51.1%	78.1%	51.7%	42.7%	61.1%
73	66.7%	53.5%	79.6%	54.5%	45.7%	63.8%
72	68.6%	55.9%	81.1%	57.2%	48.5%	66.3%
71	70.4%	58.2%	82.4%	59.8%	51.3%	68.7%
70	72.1%	60.5%	83.6%	62.2%	54%	70.8%
69	73.7%	62.7%	84.8%	64.5%	56.6%	72.8%
68	75.3%	64.9%	85.9%	66.7%	59.1%	74.6%
67	76.8%	67%	86.9%	68.7%	61.5%	76.3%
66	78.3%	69.1%	87.9%	70.6%	63.7%	77.8%
65	79.8%	71.1%	88.8%	72.4%	65.8%	79.2%
64	81.1%	73%	89.6%	74%	67.9%	80.5%
63	82.3%	74.8%	90.3%	75.6%	69.8%	81.7%
62	83.5%	76.4%	91%	77.1%	71.6%	82.8%
61	84.6%	78%	91.7%	78.4%	73.2%	83.8%
60	85.7%	79.5%	92.3%	79.7%	74.8%	84.8%
59	86.6%	80.8%	92.8%	80.9%	76.3%	85.7%
58	87.5%	82.1%	93.3%	82%	77.7%	86.5%
57	88.3%	83.2%	93.7%	83.1%	79%	87.3%
56	89%	84.4%	94.1%	84%	80.3%	88%
55	89.8%	85.4%	94.5%	85%	81.4%	88.7%
54	90.5%	86.4%	94.9%	85.8%	82.5%	89.3%
53	91.1%	87.4%	95.3%	86.6%	83.5%	89.9%
52	91.7%	88.2%	95.6%	87.4%	84.4%	90.4%
51	92.3%	89%	95.9%	88.1%	85.3%	91%
50	92.8%	89.7%	96.2%	88.7%	86.1%	91.4%
49	93.3%	90.4%	96.5%	89.3%	86.9%	91.9%
48	93.7%	91.1%	96.7%	89.9%	87.6%	92.3%
47	94.2%	91.8%	97%	90.4%	88.3%	92.7%
46	94.6%	92.3%	97.2%	90.9%	88.9%	93%
45	95%	92.9%	97.4%	91.4%	89.4%	93.4%
44	95.4%	93.4%	97.6%	91.8%	89.9%	93.7%
43	95.7%	93.9%	97.8%	92.1%	90.4%	93.9%
42	96%	94.3%	97.9%	92.5%	90.9%	94.2%
41	96.3%	94.8%	98%	92.8%	91.3%	94.4%
40	96.6%	95.2%	98.2%	93.1%	91.7%	94.7%
39	96.9%	95.6%	98.3%	93.4%	92%	94.9%
38	97.1%	96%	98.4%	93.7%	92.4%	95%
37	97.4%	96.3%	98.5%	93.9%	92.7%	95.2%
36	97.6%	96.6%	98.6%	94.2%	93%	95.4%
35	97.8%	96.9%	98.7%	94.4%	93.3%	95.6%
34	97.9%	97.1%	98.8%	94.6%	93.6%	95.7%
33	98.1%	97.4%	98.9%	94.8%	93.9%	95.8%
32	98.3%	97.6%	99%	95%	94.1%	96%
31	98.4%	97.8%	99%	95.2%	94.3%	96.1%
30	98.5%	98%	99.1%	95.3%	94.6%	96.2%
29	98.6%	98.2%	99.1%	95.5%	94.8%	96.3%
28	98.7%	98.3%	99.2%	95.7%	95%	96.4%
27	98.8%	98.5%	99.2%	95.8%	95.2%	96.5%
26	98.9%	98.6%	99.2%	95.9%	95.4%	96.5%
25	99%	98.7%	99.3%	96.1%	95.6%	96.6%
24	99.1%	98.8%	99.3%	96.2%	95.7%	96.7%
23	99.1%	98.9%	99.3%	96.3%	95.9%	96.8%
22	99.2%	99%	99.4%	96.4%	96%	96.9%
21	99.2%	99.1%	99.4%	96.5%	96.2%	96.9%
20	99.3%	99.2%	99.4%	96.6%	96.3%	97%
19	99.4%	99.3%	99.5%	96.7%	96.4%	97.1%
18	99.4%	99.4%	99.5%	96.8%	96.5%	97.1%
17	99.5%	99.4%	99.5%	96.9%	96.6%	97.2%
16	99.5%	99.4%	99.5%	97%	96.7%	97.2%
15	99.5%	99.5%	99.5%	97%	96.8%	97.3%
14	99.5%	99.5%	99.6%	97.1%	96.8%	97.3%
13	99.6%	99.5%	99.6%	97.1%	96.9%	97.4%
12	99.6%	99.6%	99.6%	97.2%	96.9%	97.4%
11	99.6%	99.6%	99.6%	97.2%	97%	97.4%
10	99.6%	99.6%	99.6%	97.2%	97%	97.5%
9	99.6%	99.6%	99.6%	97.3%	97%	97.5%
8	99.6%	99.6%	99.6%	97.3%	97.1%	97.5%
7	99.6%	99.6%	99.6%	97.3%	97.1%	97.6%
6	99.6%	99.6%	99.7%	97.4%	97.2%	97.6%
5	99.6%	99.6%	99.7%	97.5%	97.2%	97.7%
4	99.7%	99.6%	99.7%	97.5%	97.3%	97.8%
3	99.7%	99.7%	99.7%	97.7%	97.5%	97.9%
2	99.7%	99.7%	99.7%	97.8%	97.6%	98%
1	99.7%	99.7%	99.7%	98.1%	97.9%	98.3%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 79.7% in the Philippines are expected to live past 60, 72.1% and 62.2% past 70, 51.1% and 33% past 80, and only 18.6% and 6.61% 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

Philippines

Male

Female

1x

Age	Probability of dying
	Lithuania			Philippines
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	44%	45.1%	43.8%
99	36.9%	37.2%	36.8%	41.7%	42.9%	41.4%
98	34.4%	35%	34.3%	39%	40.4%	38.6%
97	32%	32.8%	31.8%	36.4%	38%	36%
96	29.6%	30.6%	29.3%	34%	35.7%	33.5%
95	27.1%	28.5%	26.8%	31.7%	33.6%	31.1%
94	25.2%	27.3%	24.6%	29.4%	31.4%	28.8%
93	23.2%	25.7%	22.5%	27.5%	29.7%	26.9%
92	20.7%	22.1%	20.2%	25.7%	27.9%	25.1%
91	18.3%	19.3%	18%	24%	26.2%	23.3%
90	16.8%	19.1%	16.1%	22.4%	24.5%	21.7%
89	15.2%	17.3%	14.5%	20.8%	22.9%	20.1%
88	13.5%	15.1%	13%	19.3%	21.4%	18.5%
87	12.3%	14.4%	11.6%	17.8%	20%	17%
86	11%	13.1%	10.2%	16.4%	18.5%	15.6%
85	9.6%	11.4%	8.93%	15.1%	17.2%	14.3%
84	8.47%	10.4%	7.75%	13.8%	15.9%	13%
83	7.54%	9.67%	6.7%	12.7%	14.7%	11.8%
82	6.69%	8.81%	5.82%	11.6%	13.6%	10.7%
81	6.01%	8.11%	5.12%	10.6%	12.5%	9.71%
80	5.41%	7.44%	4.51%	9.74%	11.5%	8.79%
79	4.77%	6.65%	3.91%	8.92%	10.6%	7.95%
78	4.3%	6.23%	3.39%	8.17%	9.81%	7.18%
77	3.98%	6%	2.98%	7.47%	9.03%	6.47%
76	3.69%	5.61%	2.7%	6.82%	8.31%	5.82%
75	3.4%	5.16%	2.45%	6.21%	7.64%	5.23%
74	3.14%	4.82%	2.19%	5.66%	7.02%	4.69%
73	2.93%	4.53%	1.99%	5.16%	6.45%	4.22%
72	2.74%	4.26%	1.82%	4.7%	5.92%	3.78%
71	2.54%	4.02%	1.6%	4.28%	5.44%	3.4%
70	2.35%	3.77%	1.44%	3.9%	4.99%	3.05%
69	2.23%	3.51%	1.37%	3.56%	4.58%	2.73%
68	2.11%	3.33%	1.26%	3.24%	4.2%	2.45%
67	2.01%	3.19%	1.16%	2.95%	3.86%	2.2%
66	1.92%	3.03%	1.11%	2.69%	3.54%	1.97%
65	1.79%	2.81%	1.01%	2.46%	3.25%	1.77%
64	1.64%	2.58%	0.9%	2.24%	2.98%	1.59%
63	1.52%	2.36%	0.83%	2.05%	2.73%	1.45%
62	1.41%	2.17%	0.78%	1.89%	2.51%	1.33%
61	1.31%	2.01%	0.71%	1.74%	2.3%	1.22%
60	1.2%	1.86%	0.63%	1.6%	2.12%	1.12%
59	1.09%	1.69%	0.58%	1.48%	1.95%	1.03%
58	0.98%	1.48%	0.54%	1.36%	1.8%	0.96%
57	0.91%	1.39%	0.47%	1.26%	1.66%	0.89%
56	0.86%	1.34%	0.42%	1.17%	1.53%	0.82%
55	0.83%	1.26%	0.42%	1.08%	1.41%	0.76%
54	0.78%	1.16%	0.42%	1%	1.3%	0.71%
53	0.7%	1.06%	0.36%	0.93%	1.2%	0.66%
52	0.65%	0.97%	0.34%	0.86%	1.11%	0.61%
51	0.61%	0.88%	0.34%	0.8%	1.03%	0.57%
50	0.56%	0.83%	0.29%	0.74%	0.96%	0.53%
49	0.53%	0.78%	0.27%	0.68%	0.88%	0.49%
48	0.51%	0.74%	0.27%	0.63%	0.81%	0.45%
47	0.48%	0.69%	0.25%	0.58%	0.75%	0.41%
46	0.44%	0.64%	0.23%	0.53%	0.68%	0.38%
45	0.41%	0.6%	0.2%	0.49%	0.62%	0.35%
44	0.38%	0.54%	0.2%	0.44%	0.57%	0.32%
43	0.35%	0.5%	0.19%	0.41%	0.52%	0.29%
42	0.33%	0.49%	0.16%	0.38%	0.49%	0.27%
41	0.31%	0.47%	0.13%	0.35%	0.45%	0.25%
40	0.28%	0.42%	0.13%	0.33%	0.43%	0.23%
39	0.28%	0.41%	0.13%	0.31%	0.4%	0.22%
38	0.27%	0.4%	0.12%	0.29%	0.38%	0.2%
37	0.23%	0.33%	0.11%	0.27%	0.36%	0.19%
36	0.21%	0.3%	0.1%	0.26%	0.33%	0.17%
35	0.2%	0.29%	0.09%	0.24%	0.31%	0.16%
34	0.19%	0.28%	0.09%	0.22%	0.29%	0.15%
33	0.18%	0.26%	0.09%	0.21%	0.28%	0.14%
32	0.15%	0.23%	0.06%	0.2%	0.26%	0.13%
31	0.13%	0.2%	0.06%	0.18%	0.25%	0.12%
30	0.13%	0.19%	0.06%	0.17%	0.24%	0.11%
29	0.13%	0.2%	0.05%	0.17%	0.23%	0.1%
28	0.11%	0.18%	0.04%	0.16%	0.22%	0.1%
27	0.09%	0.14%	0.04%	0.15%	0.21%	0.09%
26	0.08%	0.13%	0.04%	0.15%	0.2%	0.09%
25	0.08%	0.12%	0.03%	0.14%	0.19%	0.09%
24	0.07%	0.11%	0.03%	0.13%	0.18%	0.08%
23	0.07%	0.1%	0.03%	0.12%	0.17%	0.08%
22	0.06%	0.09%	0.03%	0.12%	0.16%	0.08%
21	0.06%	0.08%	0.03%	0.11%	0.15%	0.07%
20	0.06%	0.08%	0.03%	0.1%	0.13%	0.07%
19	0.06%	0.09%	0.03%	0.09%	0.12%	0.06%
18	0.05%	0.07%	0.03%	0.09%	0.11%	0.06%
17	0.03%	0.04%	0.02%	0.08%	0.1%	0.06%
16	0.03%	0.05%	0.02%	0.07%	0.08%	0.05%
15	0.03%	0.04%	0.02%	0.06%	0.07%	0.05%
14	0.03%	0.03%	0.02%	0.05%	0.06%	0.04%
13	0.02%	0.02%	0.02%	0.05%	0.05%	0.04%
12	0.01%	0.02%	0.01%	0.04%	0.05%	0.04%
11	0.01%	0.02%	0.008%	0.04%	0.04%	0.03%
10	0.01%	0.01%	0.01%	0.04%	0.04%	0.03%
9	0.01%	0.009%	0.01%	0.04%	0.04%	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%	0.05%	0.05%	0.05%
5	0.009%	0.009%	0.01%	0.06%	0.07%	0.06%
4	0.01%	0.01%	0.01%	0.09%	0.09%	0.08%
3	0.01%	0.01%	0.01%	0.12%	0.13%	0.12%
2	0.01%	0.01%	0.01%	0.18%	0.19%	0.17%
1	0.03%	0.02%	0.03%	0.26%	0.27%	0.26%
0	0.29%	0.3%	0.28%	1.91%	2.09%	1.71%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 1.91% in the Philippines, 0.13% vs 0.17% at age 30, 1.2% vs 1.6% at 60, and 5.41% vs 9.74% at 80.

Death rate by age in Lithuania vs Philippines

Chart Table

Lithuania

Male

Female

Philippines

Male

Female

1x

Age	Death rate
	Lithuania			Philippines
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	0	0	3.13
99	485	230.3	706	108.1	50.6	159.9
98	690	333	1,000	165.6	80	242.9
97	945	465	1,362	243.2	121.5	354
96	1,240	624	1,777	344	177.8	495
95	1,559	812	2,213	469	251.6	669
94	1,933	1,074	2,695	616	344	868
93	2,322	1,356	3,186	797	461	1,109
92	2,605	1,503	3,588	1,003	601	1,379
91	2,822	1,627	3,887	1,232	764	1,674
90	3,119	1,989	4,148	1,477	948	1,984
89	3,315	2,179	4,361	1,733	1,151	2,298
88	3,420	2,242	4,500	1,991	1,368	2,605
87	3,556	2,501	4,539	2,240	1,592	2,890
86	3,561	2,606	4,462	2,470	1,816	3,140
85	3,442	2,562	4,282	2,672	2,034	3,345
84	3,319	2,605	4,028	2,844	2,238	3,502
83	3,194	2,688	3,733	2,982	2,423	3,608
82	3,036	2,683	3,441	3,088	2,588	3,666
81	2,903	2,691	3,191	3,166	2,730	3,681
80	2,761	2,665	2,945	3,214	2,847	3,654
79	2,559	2,550	2,657	3,233	2,938	3,590
78	2,410	2,551	2,381	3,223	3,002	3,492
77	2,321	2,611	2,161	3,186	3,038	3,364
76	2,234	2,586	2,009	3,120	3,047	3,211
75	2,134	2,512	1,873	3,031	3,032	3,044
74	2,030	2,466	1,712	2,929	2,997	2,869
73	1,953	2,423	1,589	2,815	2,942	2,690
72	1,881	2,380	1,473	2,691	2,872	2,510
71	1,785	2,341	1,322	2,562	2,789	2,332
70	1,696	2,284	1,202	2,428	2,695	2,158
69	1,642	2,203	1,159	2,294	2,592	1,991
68	1,590	2,161	1,081	2,161	2,483	1,831
67	1,542	2,140	1,004	2,030	2,370	1,679
66	1,507	2,091	975	1,902	2,254	1,536
65	1,429	2,002	900	1,778	2,137	1,402
64	1,330	1,887	809	1,657	2,020	1,277
63	1,248	1,765	754	1,554	1,905	1,185
62	1,177	1,655	711	1,455	1,793	1,101
61	1,106	1,569	648	1,362	1,687	1,023
60	1,028	1,481	582	1,275	1,585	952
59	942	1,363	535	1,194	1,489	886
58	857	1,218	506	1,118	1,397	827
57	800	1,155	445	1,047	1,310	772
56	766	1,132	394	981	1,227	722
55	742	1,077	398	919	1,148	676
54	702	1,001	394	860	1,074	633
53	639	928	338	805	1,005	592
52	596	853	327	753	941	554
51	560	787	324	704	881	517
50	518	741	280.7	657	824	482
49	493	708	260	612	768	447
48	475	674	256.5	567	713	414
47	448	630	244.5	524	659	382
46	417	589	222.4	482	606	352
45	391	555	199.3	444	557	324
44	361	507	192	408	513	298.4
43	336	467	183.2	377	474	275.3
42	320	461	155.8	350	441	254.7
41	301	446	132.1	327	414	236.5
40	275.1	398	130.8	308	390	220.2
39	271.3	396	125	289.6	369	205.5
38	262.3	387	115.9	272.8	349	191.9
37	224.5	322	110.3	256.6	330	179.1
36	201.3	287.8	100.8	240.7	311	166.9
35	194	281.1	93.1	225.3	292.1	155.3
34	186.8	269.6	92.7	210.8	274.7	144.2
33	172.2	250.4	84.7	197.6	259	133.8
32	148.5	225.2	62.9	185.8	245.5	124.1
31	130.3	194.6	59.1	175.5	234	115.3
30	123.6	182.3	59.6	166.6	224.3	107.5
29	123.7	194.9	46.9	158.9	215.7	100.7
28	109.5	173.6	40.2	152	207.5	95.1
27	90.6	138.4	39.5	145.6	199.2	90.6
26	82.1	123.9	38.2	139.3	190.6	86.8
25	77	118.5	33.7	133.1	181.4	83.7
24	67.9	107	27.3	126.7	171.8	80.8
23	64.5	99.2	28.2	120.3	161.9	77.9
22	62.3	92.2	31.2	113.6	151.6	74.7
21	56.7	82.6	30	106.6	141	71.1
20	56.2	83.3	28.3	99	129.8	67.1
19	62.7	94.3	30	90.9	118	62.8
18	50.7	70.8	29.8	82.5	105.7	58.5
17	34.2	43.8	24.1	74	93	54.3
16	30.9	45.9	15.2	65.8	80.8	50.2
15	29.1	40.8	16.8	58.1	69.4	46.3
14	25	28.9	20.8	51.2	59.5	42.7
13	19.1	21.8	16.4	45.4	51.2	39.3
12	14.3	18.6	9.7	40.7	44.8	36.4
11	12.2	15.7	8.41	37.2	40.3	34.1
10	10.5	10.8	10.2	35.2	37.7	32.7
9	10.3	9.11	11.5	34.9	37.1	32.7
8	12	13.2	10.7	36.6	38.7	34.4
7	11.3	12	10.7	41	43.4	38.6
6	9.63	8.66	10.7	49.3	52	46.4
5	9.42	9.23	9.62	63.2	66.5	59.7
4	11.3	12.2	10.4	85.7	89.8	81.3
3	13.8	14.4	13.1	121.2	126.4	115.6
2	13.2	14.4	11.8	176.2	182.7	169.2
1	25.4	24.3	26.4	259.8	267.9	251.1
0	291.9	305	278.5	1,906	2,089	1,709

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 the Philippines. The median age of death is 80.4 in Lithuania and 74.6 in the Philippines, 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 the Philippines more than their death rates.

Life expectancy in other countries

+ -

1x