Life Expectancy in Lithuania vs Singapore (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Singapore

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Singapore
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.7	102.3	102.9
99	101.1	100.9	101.1	101.9	101.5	102.1
98	100.2	100.1	100.2	101.1	100.7	101.3
97	99.3	99.2	99.3	100.3	99.9	100.5
96	98.5	98.4	98.5	99.6	99.1	99.8
95	97.7	97.6	97.7	98.8	98.3	99
94	96.9	96.7	96.9	98.1	97.6	98.3
93	96.1	95.9	96.1	97.4	96.8	97.7
92	95.4	95.2	95.4	96.7	96.1	97
91	94.6	94.4	94.7	96.1	95.4	96.4
90	94	93.7	94	95.5	94.7	95.8
89	93.3	93	93.4	94.8	94.1	95.3
88	92.6	92.3	92.7	94.3	93.5	94.7
87	92	91.6	92.1	93.7	92.9	94.2
86	91.4	90.9	91.6	93.2	92.3	93.7
85	90.8	90.3	91	92.7	91.7	93.3
84	90.3	89.7	90.5	92.2	91.2	92.9
83	89.8	89.1	90	91.7	90.7	92.5
82	89.3	88.5	89.6	91.3	90.2	92.1
81	88.8	88	89.2	90.9	89.8	91.7
80	88.4	87.4	88.8	90.5	89.3	91.4
79	88	86.9	88.4	90.1	88.9	91.1
78	87.5	86.4	88.1	89.8	88.5	90.8
77	87.1	85.8	87.8	89.5	88.1	90.5
76	86.8	85.3	87.5	89.1	87.7	90.3
75	86.4	84.8	87.2	88.8	87.4	90.1
74	86	84.3	86.9	88.6	87.1	89.8
73	85.6	83.8	86.6	88.3	86.7	89.7
72	85.3	83.3	86.4	88.1	86.4	89.5
71	84.9	82.9	86.1	87.8	86.1	89.3
70	84.6	82.4	85.9	87.6	85.9	89.2
69	84.2	81.9	85.7	87.4	85.6	89
68	83.9	81.5	85.5	87.2	85.4	88.9
67	83.6	81	85.3	87	85.2	88.7
66	83.3	80.6	85.1	86.9	85	88.6
65	82.9	80.2	84.9	86.7	84.8	88.5
64	82.6	79.8	84.7	86.6	84.6	88.4
63	82.3	79.4	84.5	86.4	84.4	88.3
62	82.1	79	84.3	86.3	84.3	88.2
61	81.8	78.7	84.2	86.2	84.1	88.1
60	81.5	78.3	84	86	84	88
59	81.3	78	83.9	85.9	83.8	87.9
58	81.1	77.7	83.7	85.8	83.7	87.9
57	80.9	77.4	83.6	85.7	83.6	87.8
56	80.7	77.2	83.5	85.6	83.5	87.7
55	80.4	76.9	83.4	85.5	83.3	87.6
54	80.2	76.6	83.3	85.4	83.2	87.6
53	80.1	76.4	83.2	85.4	83.2	87.5
52	79.9	76.2	83.1	85.3	83.1	87.5
51	79.7	75.9	82.9	85.2	83	87.4
50	79.5	75.7	82.9	85.2	82.9	87.4
49	79.4	75.5	82.8	85.1	82.8	87.3
48	79.2	75.3	82.7	85	82.8	87.3
47	79.1	75.1	82.6	85	82.7	87.2
46	78.9	74.9	82.5	85	82.7	87.2
45	78.8	74.8	82.4	84.9	82.6	87.2
44	78.7	74.6	82.3	84.9	82.6	87.1
43	78.5	74.4	82.3	84.8	82.5	87.1
42	78.4	74.3	82.2	84.8	82.5	87.1
41	78.3	74.1	82.2	84.8	82.4	87.1
40	78.2	74	82.1	84.7	82.4	87.1
39	78.1	73.9	82	84.7	82.4	87
38	78	73.7	82	84.7	82.4	87
37	77.9	73.6	81.9	84.7	82.3	87
36	77.8	73.5	81.9	84.7	82.3	87
35	77.7	73.4	81.9	84.6	82.3	87
34	77.6	73.3	81.8	84.6	82.3	87
33	77.6	73.2	81.8	84.6	82.2	87
32	77.5	73.1	81.7	84.6	82.2	86.9
31	77.4	73	81.7	84.6	82.2	86.9
30	77.4	72.9	81.7	84.5	82.2	86.9
29	77.3	72.8	81.7	84.5	82.2	86.9
28	77.3	72.7	81.6	84.5	82.1	86.9
27	77.2	72.7	81.6	84.5	82.1	86.9
26	77.2	72.6	81.6	84.5	82.1	86.9
25	77.1	72.6	81.6	84.5	82.1	86.9
24	77.1	72.5	81.6	84.5	82.1	86.9
23	77.1	72.5	81.5	84.5	82.1	86.9
22	77	72.4	81.5	84.4	82	86.9
21	77	72.4	81.5	84.4	82	86.8
20	77	72.3	81.5	84.4	82	86.8
19	76.9	72.3	81.5	84.4	82	86.8
18	76.9	72.2	81.4	84.4	82	86.8
17	76.9	72.2	81.4	84.4	82	86.8
16	76.9	72.2	81.4	84.4	81.9	86.8
15	76.8	72.2	81.4	84.4	81.9	86.8
14	76.8	72.2	81.4	84.3	81.9	86.8
13	76.8	72.1	81.4	84.3	81.9	86.8
12	76.8	72.1	81.4	84.3	81.9	86.8
11	76.8	72.1	81.4	84.3	81.9	86.8
10	76.8	72.1	81.4	84.3	81.9	86.8
9	76.8	72.1	81.4	84.3	81.9	86.8
8	76.8	72.1	81.3	84.3	81.9	86.8
7	76.8	72.1	81.3	84.3	81.9	86.8
6	76.8	72.1	81.3	84.3	81.9	86.8
5	76.8	72.1	81.3	84.3	81.9	86.8
4	76.7	72.1	81.3	84.3	81.9	86.8
3	76.7	72.1	81.3	84.3	81.9	86.7
2	76.7	72	81.3	84.3	81.8	86.7
1	76.7	72	81.3	84.3	81.8	86.7
0	76.5	71.8	81.1	84.1	81.7	86.6

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 84.5 in Singapore, rising to 82.9 and 86.7 at 65, and to 88.4 and 90.5 at 80 — higher than the 76.5 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Singapore

Male

Female

1x

Age	Survival probability
	Lithuania			Singapore
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	4.99%	2.55%	7.25%
99	1.32%	0.62%	1.92%	6.71%	3.6%	9.59%
98	2.01%	0.95%	2.92%	8.78%	4.95%	12.4%
97	2.95%	1.42%	4.28%	11.2%	6.62%	15.5%
96	4.19%	2.04%	6.06%	14%	8.64%	19.1%
95	5.75%	2.85%	8.27%	17.1%	11%	22.9%
94	7.68%	3.93%	11%	20.5%	13.7%	27%
93	10%	5.28%	14.2%	24.2%	16.7%	31.3%
92	12.6%	6.79%	17.7%	28%	20%	35.7%
91	15.4%	8.41%	21.6%	32%	23.6%	40.2%
90	18.6%	10.4%	25.8%	36.1%	27.3%	44.6%
89	21.9%	12.6%	30.1%	40.2%	31.2%	49%
88	25.3%	14.8%	34.6%	44.2%	35.1%	53.2%
87	28.8%	17.3%	39.2%	48.2%	39%	57.2%
86	32.4%	19.9%	43.6%	52%	42.9%	61%
85	35.8%	22.5%	47.9%	55.6%	46.7%	64.5%
84	39.2%	25.1%	51.9%	59.1%	50.4%	67.8%
83	42.4%	27.8%	55.7%	62.4%	54%	70.9%
82	45.4%	30.5%	59.1%	65.5%	57.4%	73.7%
81	48.3%	33.2%	62.3%	68.3%	60.6%	76.3%
80	51.1%	35.8%	65.3%	71%	63.6%	78.6%
79	53.6%	38.4%	67.9%	73.5%	66.5%	80.7%
78	56%	40.9%	70.3%	75.7%	69.1%	82.6%
77	58.3%	43.5%	72.5%	77.8%	71.6%	84.3%
76	60.6%	46.1%	74.5%	79.8%	74%	85.8%
75	62.7%	48.6%	76.3%	81.5%	76.2%	87.1%
74	64.7%	51.1%	78.1%	83.2%	78.2%	88.3%
73	66.7%	53.5%	79.6%	84.6%	80.1%	89.4%
72	68.6%	55.9%	81.1%	86%	81.9%	90.3%
71	70.4%	58.2%	82.4%	87.2%	83.4%	91.2%
70	72.1%	60.5%	83.6%	88.3%	84.9%	91.9%
69	73.7%	62.7%	84.8%	89.3%	86.2%	92.6%
68	75.3%	64.9%	85.9%	90.2%	87.4%	93.2%
67	76.8%	67%	86.9%	91%	88.4%	93.8%
66	78.3%	69.1%	87.9%	91.8%	89.4%	94.3%
65	79.8%	71.1%	88.8%	92.4%	90.3%	94.7%
64	81.1%	73%	89.6%	93.1%	91.1%	95.2%
63	82.3%	74.8%	90.3%	93.7%	91.9%	95.6%
62	83.5%	76.4%	91%	94.2%	92.6%	95.9%
61	84.6%	78%	91.7%	94.7%	93.2%	96.2%
60	85.7%	79.5%	92.3%	95.1%	93.8%	96.5%
59	86.6%	80.8%	92.8%	95.5%	94.3%	96.8%
58	87.5%	82.1%	93.3%	95.9%	94.8%	97.1%
57	88.3%	83.2%	93.7%	96.3%	95.3%	97.3%
56	89%	84.4%	94.1%	96.6%	95.7%	97.6%
55	89.8%	85.4%	94.5%	96.9%	96%	97.8%
54	90.5%	86.4%	94.9%	97.1%	96.4%	98%
53	91.1%	87.4%	95.3%	97.4%	96.7%	98.1%
52	91.7%	88.2%	95.6%	97.6%	97%	98.3%
51	92.3%	89%	95.9%	97.8%	97.2%	98.4%
50	92.8%	89.7%	96.2%	98%	97.4%	98.6%
49	93.3%	90.4%	96.5%	98.1%	97.6%	98.7%
48	93.7%	91.1%	96.7%	98.3%	97.8%	98.8%
47	94.2%	91.8%	97%	98.4%	98%	98.9%
46	94.6%	92.3%	97.2%	98.5%	98.1%	99%
45	95%	92.9%	97.4%	98.6%	98.2%	99%
44	95.4%	93.4%	97.6%	98.7%	98.4%	99.1%
43	95.7%	93.9%	97.8%	98.8%	98.5%	99.2%
42	96%	94.3%	97.9%	98.9%	98.6%	99.2%
41	96.3%	94.8%	98%	98.9%	98.7%	99.3%
40	96.6%	95.2%	98.2%	99%	98.8%	99.3%
39	96.9%	95.6%	98.3%	99.1%	98.8%	99.3%
38	97.1%	96%	98.4%	99.1%	98.9%	99.4%
37	97.4%	96.3%	98.5%	99.2%	98.9%	99.4%
36	97.6%	96.6%	98.6%	99.2%	99%	99.4%
35	97.8%	96.9%	98.7%	99.2%	99.1%	99.5%
34	97.9%	97.1%	98.8%	99.3%	99.1%	99.5%
33	98.1%	97.4%	98.9%	99.3%	99.1%	99.5%
32	98.3%	97.6%	99%	99.3%	99.2%	99.5%
31	98.4%	97.8%	99%	99.4%	99.2%	99.5%
30	98.5%	98%	99.1%	99.4%	99.3%	99.6%
29	98.6%	98.2%	99.1%	99.4%	99.3%	99.6%
28	98.7%	98.3%	99.2%	99.5%	99.3%	99.6%
27	98.8%	98.5%	99.2%	99.5%	99.4%	99.6%
26	98.9%	98.6%	99.2%	99.5%	99.4%	99.6%
25	99%	98.7%	99.3%	99.5%	99.4%	99.6%
24	99.1%	98.8%	99.3%	99.6%	99.5%	99.7%
23	99.1%	98.9%	99.3%	99.6%	99.5%	99.7%
22	99.2%	99%	99.4%	99.6%	99.5%	99.7%
21	99.2%	99.1%	99.4%	99.6%	99.5%	99.7%
20	99.3%	99.2%	99.4%	99.6%	99.6%	99.7%
19	99.4%	99.3%	99.5%	99.7%	99.6%	99.7%
18	99.4%	99.4%	99.5%	99.7%	99.6%	99.7%
17	99.5%	99.4%	99.5%	99.7%	99.6%	99.7%
16	99.5%	99.4%	99.5%	99.7%	99.7%	99.8%
15	99.5%	99.5%	99.5%	99.7%	99.7%	99.8%
14	99.5%	99.5%	99.6%	99.7%	99.7%	99.8%
13	99.6%	99.5%	99.6%	99.7%	99.7%	99.8%
12	99.6%	99.6%	99.6%	99.7%	99.7%	99.8%
11	99.6%	99.6%	99.6%	99.8%	99.7%	99.8%
10	99.6%	99.6%	99.6%	99.8%	99.7%	99.8%
9	99.6%	99.6%	99.6%	99.8%	99.7%	99.8%
8	99.6%	99.6%	99.6%	99.8%	99.7%	99.8%
7	99.6%	99.6%	99.6%	99.8%	99.7%	99.8%
6	99.6%	99.6%	99.7%	99.8%	99.8%	99.8%
5	99.6%	99.6%	99.7%	99.8%	99.8%	99.8%
4	99.7%	99.6%	99.7%	99.8%	99.8%	99.8%
3	99.7%	99.7%	99.7%	99.8%	99.8%	99.8%
2	99.7%	99.7%	99.7%	99.8%	99.8%	99.8%
1	99.7%	99.7%	99.7%	99.8%	99.8%	99.9%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 95.1% in Singapore are expected to live past 60, 72.1% and 88.3% past 70, 51.1% and 71% past 80, and only 18.6% and 36.1% 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

Singapore

Male

Female

1x

Age	Probability of dying
	Lithuania			Singapore
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	27.4%	31.2%	26.3%
99	36.9%	37.2%	36.8%	25.6%	29.3%	24.5%
98	34.4%	35%	34.3%	23.6%	27.2%	22.4%
97	32%	32.8%	31.8%	21.7%	25.3%	20.4%
96	29.6%	30.6%	29.3%	19.9%	23.3%	18.6%
95	27.1%	28.5%	26.8%	18.2%	21.4%	16.8%
94	25.2%	27.3%	24.6%	16.6%	19.7%	15.2%
93	23.2%	25.7%	22.5%	15.1%	18.1%	13.7%
92	20.7%	22.1%	20.2%	13.8%	16.6%	12.4%
91	18.3%	19.3%	18%	12.5%	15.1%	11.1%
90	16.8%	19.1%	16.1%	11.3%	13.7%	9.95%
89	15.2%	17.3%	14.5%	10.2%	12.4%	8.88%
88	13.5%	15.1%	13%	9.15%	11.2%	7.9%
87	12.3%	14.4%	11.6%	8.18%	10%	7.02%
86	11%	13.1%	10.2%	7.32%	9.04%	6.22%
85	9.6%	11.4%	8.93%	6.55%	8.13%	5.51%
84	8.47%	10.4%	7.75%	5.87%	7.32%	4.87%
83	7.54%	9.67%	6.7%	5.27%	6.58%	4.31%
82	6.69%	8.81%	5.82%	4.71%	5.91%	3.8%
81	6.01%	8.11%	5.12%	4.2%	5.31%	3.35%
80	5.41%	7.44%	4.51%	3.75%	4.77%	2.95%
79	4.77%	6.65%	3.91%	3.35%	4.29%	2.6%
78	4.3%	6.23%	3.39%	3%	3.87%	2.28%
77	3.98%	6%	2.98%	2.69%	3.5%	2.01%
76	3.69%	5.61%	2.7%	2.42%	3.17%	1.76%
75	3.4%	5.16%	2.45%	2.17%	2.88%	1.54%
74	3.14%	4.82%	2.19%	1.95%	2.61%	1.35%
73	2.93%	4.53%	1.99%	1.75%	2.36%	1.19%
72	2.74%	4.26%	1.82%	1.56%	2.12%	1.05%
71	2.54%	4.02%	1.6%	1.39%	1.9%	0.93%
70	2.35%	3.77%	1.44%	1.24%	1.7%	0.83%
69	2.23%	3.51%	1.37%	1.12%	1.51%	0.74%
68	2.11%	3.33%	1.26%	1%	1.35%	0.66%
67	2.01%	3.19%	1.16%	0.9%	1.21%	0.59%
66	1.92%	3.03%	1.11%	0.82%	1.09%	0.54%
65	1.79%	2.81%	1.01%	0.74%	0.99%	0.49%
64	1.64%	2.58%	0.9%	0.68%	0.9%	0.44%
63	1.52%	2.36%	0.83%	0.62%	0.82%	0.41%
62	1.41%	2.17%	0.78%	0.56%	0.75%	0.37%
61	1.31%	2.01%	0.71%	0.52%	0.68%	0.34%
60	1.2%	1.86%	0.63%	0.47%	0.62%	0.32%
59	1.09%	1.69%	0.58%	0.43%	0.57%	0.29%
58	0.98%	1.48%	0.54%	0.4%	0.52%	0.27%
57	0.91%	1.39%	0.47%	0.36%	0.47%	0.25%
56	0.86%	1.34%	0.42%	0.33%	0.43%	0.23%
55	0.83%	1.26%	0.42%	0.3%	0.39%	0.21%
54	0.78%	1.16%	0.42%	0.27%	0.35%	0.19%
53	0.7%	1.06%	0.36%	0.25%	0.31%	0.18%
52	0.65%	0.97%	0.34%	0.22%	0.28%	0.16%
51	0.61%	0.88%	0.34%	0.2%	0.25%	0.15%
50	0.56%	0.83%	0.29%	0.18%	0.23%	0.13%
49	0.53%	0.78%	0.27%	0.16%	0.2%	0.12%
48	0.51%	0.74%	0.27%	0.14%	0.18%	0.11%
47	0.48%	0.69%	0.25%	0.13%	0.16%	0.1%
46	0.44%	0.64%	0.23%	0.12%	0.15%	0.09%
45	0.41%	0.6%	0.2%	0.11%	0.14%	0.08%
44	0.38%	0.54%	0.2%	0.1%	0.12%	0.07%
43	0.35%	0.5%	0.19%	0.09%	0.11%	0.06%
42	0.33%	0.49%	0.16%	0.08%	0.1%	0.05%
41	0.31%	0.47%	0.13%	0.07%	0.09%	0.05%
40	0.28%	0.42%	0.13%	0.06%	0.08%	0.04%
39	0.28%	0.41%	0.13%	0.06%	0.07%	0.04%
38	0.27%	0.4%	0.12%	0.05%	0.07%	0.03%
37	0.23%	0.33%	0.11%	0.05%	0.06%	0.03%
36	0.21%	0.3%	0.1%	0.04%	0.05%	0.03%
35	0.2%	0.29%	0.09%	0.04%	0.05%	0.03%
34	0.19%	0.28%	0.09%	0.04%	0.05%	0.02%
33	0.18%	0.26%	0.09%	0.03%	0.04%	0.02%
32	0.15%	0.23%	0.06%	0.03%	0.04%	0.02%
31	0.13%	0.2%	0.06%	0.03%	0.04%	0.02%
30	0.13%	0.19%	0.06%	0.03%	0.04%	0.02%
29	0.13%	0.2%	0.05%	0.03%	0.04%	0.02%
28	0.11%	0.18%	0.04%	0.03%	0.03%	0.02%
27	0.09%	0.14%	0.04%	0.02%	0.03%	0.02%
26	0.08%	0.13%	0.04%	0.02%	0.03%	0.01%
25	0.08%	0.12%	0.03%	0.02%	0.03%	0.01%
24	0.07%	0.11%	0.03%	0.02%	0.03%	0.01%
23	0.07%	0.1%	0.03%	0.02%	0.03%	0.01%
22	0.06%	0.09%	0.03%	0.02%	0.03%	0.01%
21	0.06%	0.08%	0.03%	0.02%	0.03%	0.01%
20	0.06%	0.08%	0.03%	0.02%	0.03%	0.01%
19	0.06%	0.09%	0.03%	0.02%	0.03%	0.01%
18	0.05%	0.07%	0.03%	0.02%	0.02%	0.01%
17	0.03%	0.04%	0.02%	0.02%	0.02%	0.01%
16	0.03%	0.05%	0.02%	0.02%	0.02%	0.01%
15	0.03%	0.04%	0.02%	0.01%	0.02%	0.01%
14	0.03%	0.03%	0.02%	0.01%	0.01%	0.009%
13	0.02%	0.02%	0.02%	0.01%	0.01%	0.008%
12	0.01%	0.02%	0.01%	0.008%	0.01%	0.007%
11	0.01%	0.02%	0.008%	0.007%	0.008%	0.006%
10	0.01%	0.01%	0.01%	0.006%	0.007%	0.005%
9	0.01%	0.009%	0.01%	0.005%	0.006%	0.004%
8	0.01%	0.01%	0.01%	0.005%	0.006%	0.004%
7	0.01%	0.01%	0.01%	0.005%	0.006%	0.004%
6	0.01%	0.009%	0.01%	0.005%	0.006%	0.004%
5	0.009%	0.009%	0.01%	0.006%	0.007%	0.004%
4	0.01%	0.01%	0.01%	0.007%	0.008%	0.006%
3	0.01%	0.01%	0.01%	0.009%	0.01%	0.008%
2	0.01%	0.01%	0.01%	0.01%	0.01%	0.01%
1	0.03%	0.02%	0.03%	0.02%	0.02%	0.02%
0	0.29%	0.3%	0.28%	0.17%	0.19%	0.14%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 0.17% in Singapore, 0.13% vs 0.03% at age 30, 1.2% vs 0.47% at 60, and 5.41% vs 3.75% at 80.

Death rate by age in Lithuania vs Singapore

Chart Table

Lithuania

Male

Female

Singapore

Male

Female

1x

Age	Death rate
	Lithuania			Singapore
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	1,375	708	2,002
99	485	230.3	706	1,718	1,055	2,345
98	690	333	1,000	2,071	1,349	2,766
97	945	465	1,362	2,433	1,673	3,170
96	1,240	624	1,777	2,786	2,015	3,537
95	1,559	812	2,213	3,109	2,358	3,843
94	1,933	1,074	2,695	3,402	2,698	4,098
93	2,322	1,356	3,186	3,651	3,024	4,291
92	2,605	1,503	3,588	3,852	3,319	4,419
91	2,822	1,627	3,887	3,998	3,565	4,473
90	3,119	1,989	4,148	4,078	3,743	4,442
89	3,315	2,179	4,361	4,096	3,860	4,349
88	3,420	2,242	4,500	4,046	3,920	4,204
87	3,556	2,501	4,539	3,941	3,923	4,013
86	3,561	2,606	4,462	3,806	3,881	3,793
85	3,442	2,562	4,282	3,646	3,801	3,554
84	3,319	2,605	4,028	3,470	3,689	3,306
83	3,194	2,688	3,733	3,286	3,550	3,053
82	3,036	2,683	3,441	3,084	3,390	2,802
81	2,903	2,691	3,191	2,873	3,214	2,556
80	2,761	2,665	2,945	2,666	3,031	2,319
79	2,559	2,550	2,657	2,465	2,850	2,096
78	2,410	2,551	2,381	2,274	2,675	1,886
77	2,321	2,611	2,161	2,096	2,508	1,689
76	2,234	2,586	2,009	1,927	2,348	1,508
75	2,134	2,512	1,873	1,767	2,194	1,343
74	2,030	2,466	1,712	1,619	2,043	1,196
73	1,953	2,423	1,589	1,480	1,891	1,065
72	1,881	2,380	1,473	1,345	1,738	949
71	1,785	2,341	1,322	1,215	1,586	848
70	1,696	2,284	1,202	1,098	1,439	759
69	1,642	2,203	1,159	996	1,303	682
68	1,590	2,161	1,081	905	1,180	615
67	1,542	2,140	1,004	822	1,071	557
66	1,507	2,091	975	749	977	506
65	1,429	2,002	900	685	894	462
64	1,330	1,887	809	628	821	423
63	1,248	1,765	754	578	755	389
62	1,177	1,655	711	532	694	359
61	1,106	1,569	648	489	638	331
60	1,028	1,481	582	450	585	307
59	942	1,363	535	413	535	284.1
58	857	1,218	506	379	490	263.2
57	800	1,155	445	347	447	243.5
56	766	1,132	394	318	408	224.9
55	742	1,077	398	290.8	371	207
54	702	1,001	394	265.1	337	189.9
53	639	928	338	240.5	304	173.4
52	596	853	327	217.2	273.9	157.6
51	560	787	324	195.5	245.8	142.8
50	518	741	280.7	175.7	220.2	128.9
49	493	708	260	157.8	197.6	116.1
48	475	674	256.5	142.1	178	104.5
47	448	630	244.5	128.5	161.4	94.1
46	417	589	222.4	116.6	147	84.6
45	391	555	199.3	106	134.4	75.9
44	361	507	192	96	122.6	67.8
43	336	467	183.2	86.6	111.5	60.1
42	320	461	155.8	77.7	100.6	53
41	301	446	132.1	69.3	90.3	46.5
40	275.1	398	130.8	61.8	80.7	40.9
39	271.3	396	125	55.2	72.2	36.2
38	262.3	387	115.9	49.6	65	32.4
37	224.5	322	110.3	45.2	59.1	29.6
36	201.3	287.8	100.8	41.8	54.3	27.4
35	194	281.1	93.1	39.1	50.5	25.8
34	186.8	269.6	92.7	36.7	47.3	24.4
33	172.2	250.4	84.7	34.7	44.5	23
32	148.5	225.2	62.9	32.7	41.9	21.6
31	130.3	194.6	59.1	30.7	39.5	20.1
30	123.6	182.3	59.6	28.8	37.2	18.6
29	123.7	194.9	46.9	27.1	35	17.2
28	109.5	173.6	40.2	25.6	33.2	16.1
27	90.6	138.4	39.5	24.4	31.7	15.2
26	82.1	123.9	38.2	23.5	30.6	14.6
25	77	118.5	33.7	22.8	29.8	14.2
24	67.9	107	27.3	22.3	29.2	13.8
23	64.5	99.2	28.2	21.9	28.8	13.5
22	62.3	92.2	31.2	21.5	28.5	13.1
21	56.7	82.6	30	21	28.1	12.7
20	56.2	83.3	28.3	20.3	27.5	12.1
19	62.7	94.3	30	19.4	26.3	11.6
18	50.7	70.8	29.8	18.2	24.5	11.1
17	34.2	43.8	24.1	16.7	22.3	10.7
16	30.9	45.9	15.2	15.1	19.6	10.2
15	29.1	40.8	16.8	13.3	16.7	9.71
14	25	28.9	20.8	11.6	14	8.96
13	19.1	21.8	16.4	9.84	11.6	7.95
12	14.3	18.6	9.7	8.25	9.63	6.8
11	12.2	15.7	8.41	6.9	8.1	5.64
10	10.5	10.8	10.2	5.86	6.99	4.67
9	10.3	9.11	11.5	5.15	6.29	3.97
8	12	13.2	10.7	4.79	5.95	3.58
7	11.3	12	10.7	4.75	5.96	3.5
6	9.63	8.66	10.7	5.08	6.34	3.77
5	9.42	9.23	9.62	5.83	7.13	4.47
4	11.3	12.2	10.4	7.11	8.39	5.79
3	13.8	14.4	13.1	9.12	10.2	7.97
2	13.2	14.4	11.8	12.1	12.7	11.5
1	25.4	24.3	26.4	16.5	15.9	17.1
0	291.9	305	278.5	168.8	194.6	141.6

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 89 in Singapore. The median age of death is 80.4 in Lithuania and 86.5 in Singapore, 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 Singapore more than their death rates.

Life expectancy in other countries

+ -

1x