Life Expectancy in Lithuania vs Mauritius (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Mauritius

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Mauritius
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	102.6	102.3	102.7
99	101.1	100.9	101.1	101.7	101.5	101.8
98	100.2	100.1	100.2	100.9	100.7	101
97	99.3	99.2	99.3	100.1	99.9	100.1
96	98.5	98.4	98.5	99.2	99.1	99.3
95	97.7	97.6	97.7	98.4	98.2	98.5
94	96.9	96.7	96.9	97.7	97.4	97.8
93	96.1	95.9	96.1	96.9	96.6	97
92	95.4	95.2	95.4	96.1	95.9	96.3
91	94.6	94.4	94.7	95.4	95.1	95.6
90	94	93.7	94	94.7	94.3	94.9
89	93.3	93	93.4	94	93.6	94.2
88	92.6	92.3	92.7	93.3	92.9	93.5
87	92	91.6	92.1	92.6	92.1	92.9
86	91.4	90.9	91.6	91.9	91.4	92.2
85	90.8	90.3	91	91.3	90.8	91.7
84	90.3	89.7	90.5	90.7	90.1	91.1
83	89.8	89.1	90	90.1	89.5	90.6
82	89.3	88.5	89.6	89.6	88.9	90.1
81	88.8	88	89.2	89.1	88.3	89.6
80	88.4	87.4	88.8	88.5	87.7	89.1
79	88	86.9	88.4	88	87.2	88.7
78	87.5	86.4	88.1	87.5	86.6	88.2
77	87.1	85.8	87.8	87	86.1	87.8
76	86.8	85.3	87.5	86.6	85.6	87.4
75	86.4	84.8	87.2	86.1	85.1	87
74	86	84.3	86.9	85.7	84.6	86.6
73	85.6	83.8	86.6	85.3	84.2	86.2
72	85.3	83.3	86.4	84.9	83.7	85.9
71	84.9	82.9	86.1	84.5	83.3	85.6
70	84.6	82.4	85.9	84.1	82.9	85.2
69	84.2	81.9	85.7	83.8	82.5	84.9
68	83.9	81.5	85.5	83.4	82.1	84.7
67	83.6	81	85.3	83.1	81.7	84.4
66	83.3	80.6	85.1	82.8	81.3	84.1
65	82.9	80.2	84.9	82.4	80.9	83.9
64	82.6	79.8	84.7	82.1	80.5	83.7
63	82.3	79.4	84.5	81.9	80.2	83.4
62	82.1	79	84.3	81.6	79.9	83.2
61	81.8	78.7	84.2	81.3	79.6	83
60	81.5	78.3	84	81.1	79.3	82.9
59	81.3	78	83.9	80.9	79	82.7
58	81.1	77.7	83.7	80.7	78.7	82.5
57	80.9	77.4	83.6	80.4	78.5	82.4
56	80.7	77.2	83.5	80.2	78.3	82.2
55	80.4	76.9	83.4	80	78	82.1
54	80.2	76.6	83.3	79.9	77.8	81.9
53	80.1	76.4	83.2	79.7	77.6	81.8
52	79.9	76.2	83.1	79.5	77.3	81.7
51	79.7	75.9	82.9	79.3	77.1	81.6
50	79.5	75.7	82.9	79.2	76.9	81.5
49	79.4	75.5	82.8	79	76.7	81.4
48	79.2	75.3	82.7	78.9	76.5	81.2
47	79.1	75.1	82.6	78.7	76.4	81.1
46	78.9	74.9	82.5	78.6	76.2	81
45	78.8	74.8	82.4	78.5	76.1	81
44	78.7	74.6	82.3	78.3	75.9	80.9
43	78.5	74.4	82.3	78.2	75.8	80.8
42	78.4	74.3	82.2	78.1	75.7	80.7
41	78.3	74.1	82.2	78	75.5	80.6
40	78.2	74	82.1	77.9	75.4	80.6
39	78.1	73.9	82	77.8	75.3	80.5
38	78	73.7	82	77.7	75.2	80.5
37	77.9	73.6	81.9	77.7	75.1	80.4
36	77.8	73.5	81.9	77.6	75	80.4
35	77.7	73.4	81.9	77.5	74.9	80.3
34	77.6	73.3	81.8	77.4	74.8	80.3
33	77.6	73.2	81.8	77.4	74.7	80.2
32	77.5	73.1	81.7	77.3	74.6	80.2
31	77.4	73	81.7	77.2	74.5	80.1
30	77.4	72.9	81.7	77.2	74.5	80.1
29	77.3	72.8	81.7	77.1	74.4	80.1
28	77.3	72.7	81.6	77.1	74.3	80
27	77.2	72.7	81.6	77	74.2	80
26	77.2	72.6	81.6	77	74.2	80
25	77.1	72.6	81.6	76.9	74.1	79.9
24	77.1	72.5	81.6	76.9	74	79.9
23	77.1	72.5	81.5	76.8	74	79.9
22	77	72.4	81.5	76.8	73.9	79.8
21	77	72.4	81.5	76.7	73.8	79.8
20	77	72.3	81.5	76.7	73.8	79.8
19	76.9	72.3	81.5	76.6	73.7	79.8
18	76.9	72.2	81.4	76.6	73.7	79.7
17	76.9	72.2	81.4	76.6	73.6	79.7
16	76.9	72.2	81.4	76.5	73.6	79.7
15	76.8	72.2	81.4	76.5	73.6	79.7
14	76.8	72.2	81.4	76.5	73.6	79.7
13	76.8	72.1	81.4	76.5	73.5	79.6
12	76.8	72.1	81.4	76.5	73.5	79.6
11	76.8	72.1	81.4	76.5	73.5	79.6
10	76.8	72.1	81.4	76.4	73.5	79.6
9	76.8	72.1	81.4	76.4	73.5	79.6
8	76.8	72.1	81.3	76.4	73.5	79.6
7	76.8	72.1	81.3	76.4	73.5	79.6
6	76.8	72.1	81.3	76.4	73.5	79.6
5	76.8	72.1	81.3	76.4	73.4	79.6
4	76.7	72.1	81.3	76.4	73.4	79.6
3	76.7	72.1	81.3	76.4	73.4	79.5
2	76.7	72	81.3	76.3	73.4	79.5
1	76.7	72	81.3	76.3	73.3	79.5
0	76.5	71.8	81.1	75.4	72.5	78.6

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 77.2 in Mauritius, rising to 82.9 and 82.4 at 65, and to 88.4 and 88.5 at 80 — higher than the 76.5 and 75.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Mauritius

Male

Female

1x

Age	Survival probability
	Lithuania			Mauritius
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	1.64%	0.95%	2.4%
99	1.32%	0.62%	1.92%	2.28%	1.33%	3.29%
98	2.01%	0.95%	2.92%	3.08%	1.83%	4.42%
97	2.95%	1.42%	4.28%	4.08%	2.47%	5.81%
96	4.19%	2.04%	6.06%	5.29%	3.26%	7.46%
95	5.75%	2.85%	8.27%	6.73%	4.23%	9.4%
94	7.68%	3.93%	11%	8.39%	5.38%	11.6%
93	10%	5.28%	14.2%	10.3%	6.74%	14.1%
92	12.6%	6.79%	17.7%	12.4%	8.3%	16.8%
91	15.4%	8.41%	21.6%	14.7%	10.1%	19.8%
90	18.6%	10.4%	25.8%	17.3%	12.1%	23%
89	21.9%	12.6%	30.1%	20.1%	14.3%	26.4%
88	25.3%	14.8%	34.6%	23%	16.7%	29.9%
87	28.8%	17.3%	39.2%	26.1%	19.3%	33.5%
86	32.4%	19.9%	43.6%	29.3%	22%	37.1%
85	35.8%	22.5%	47.9%	32.4%	24.8%	40.6%
84	39.2%	25.1%	51.9%	35.5%	27.6%	44%
83	42.4%	27.8%	55.7%	38.6%	30.4%	47.3%
82	45.4%	30.5%	59.1%	41.6%	33.3%	50.4%
81	48.3%	33.2%	62.3%	44.5%	36.2%	53.4%
80	51.1%	35.8%	65.3%	47.4%	39.1%	56.3%
79	53.6%	38.4%	67.9%	50.2%	42%	59.1%
78	56%	40.9%	70.3%	53%	44.8%	61.8%
77	58.3%	43.5%	72.5%	55.7%	47.6%	64.4%
76	60.6%	46.1%	74.5%	58.3%	50.4%	66.9%
75	62.7%	48.6%	76.3%	60.7%	53%	69.2%
74	64.7%	51.1%	78.1%	63.1%	55.4%	71.3%
73	66.7%	53.5%	79.6%	65.3%	57.8%	73.4%
72	68.6%	55.9%	81.1%	67.4%	60%	75.3%
71	70.4%	58.2%	82.4%	69.3%	62.2%	77.1%
70	72.1%	60.5%	83.6%	71.2%	64.3%	78.7%
69	73.7%	62.7%	84.8%	73%	66.3%	80.3%
68	75.3%	64.9%	85.9%	74.7%	68.3%	81.7%
67	76.8%	67%	86.9%	76.4%	70.2%	83%
66	78.3%	69.1%	87.9%	77.9%	72%	84.2%
65	79.8%	71.1%	88.8%	79.4%	73.8%	85.3%
64	81.1%	73%	89.6%	80.7%	75.4%	86.4%
63	82.3%	74.8%	90.3%	81.9%	77%	87.3%
62	83.5%	76.4%	91%	83.1%	78.4%	88.1%
61	84.6%	78%	91.7%	84.2%	79.8%	88.9%
60	85.7%	79.5%	92.3%	85.1%	81%	89.6%
59	86.6%	80.8%	92.8%	86%	82.1%	90.3%
58	87.5%	82.1%	93.3%	86.9%	83.2%	90.9%
57	88.3%	83.2%	93.7%	87.7%	84.1%	91.5%
56	89%	84.4%	94.1%	88.4%	85.1%	92%
55	89.8%	85.4%	94.5%	89.1%	86%	92.5%
54	90.5%	86.4%	94.9%	89.8%	86.8%	93%
53	91.1%	87.4%	95.3%	90.4%	87.7%	93.4%
52	91.7%	88.2%	95.6%	91%	88.4%	93.8%
51	92.3%	89%	95.9%	91.6%	89.2%	94.2%
50	92.8%	89.7%	96.2%	92.1%	89.9%	94.5%
49	93.3%	90.4%	96.5%	92.6%	90.5%	94.8%
48	93.7%	91.1%	96.7%	93%	91.1%	95.1%
47	94.2%	91.8%	97%	93.4%	91.6%	95.4%
46	94.6%	92.3%	97.2%	93.8%	92.1%	95.7%
45	95%	92.9%	97.4%	94.2%	92.6%	95.9%
44	95.4%	93.4%	97.6%	94.5%	93%	96.2%
43	95.7%	93.9%	97.8%	94.8%	93.4%	96.4%
42	96%	94.3%	97.9%	95.1%	93.7%	96.6%
41	96.3%	94.8%	98%	95.4%	94.1%	96.8%
40	96.6%	95.2%	98.2%	95.6%	94.4%	96.9%
39	96.9%	95.6%	98.3%	95.9%	94.7%	97.1%
38	97.1%	96%	98.4%	96.1%	95%	97.2%
37	97.4%	96.3%	98.5%	96.3%	95.3%	97.3%
36	97.6%	96.6%	98.6%	96.5%	95.6%	97.4%
35	97.8%	96.9%	98.7%	96.6%	95.8%	97.5%
34	97.9%	97.1%	98.8%	96.8%	96%	97.6%
33	98.1%	97.4%	98.9%	96.9%	96.2%	97.7%
32	98.3%	97.6%	99%	97.1%	96.4%	97.8%
31	98.4%	97.8%	99%	97.2%	96.6%	97.9%
30	98.5%	98%	99.1%	97.3%	96.7%	97.9%
29	98.6%	98.2%	99.1%	97.5%	96.9%	98%
28	98.7%	98.3%	99.2%	97.6%	97.1%	98.1%
27	98.8%	98.5%	99.2%	97.7%	97.2%	98.2%
26	98.9%	98.6%	99.2%	97.8%	97.3%	98.2%
25	99%	98.7%	99.3%	97.9%	97.5%	98.3%
24	99.1%	98.8%	99.3%	98%	97.6%	98.3%
23	99.1%	98.9%	99.3%	98.1%	97.7%	98.4%
22	99.2%	99%	99.4%	98.1%	97.9%	98.4%
21	99.2%	99.1%	99.4%	98.2%	98%	98.5%
20	99.3%	99.2%	99.4%	98.3%	98.1%	98.5%
19	99.4%	99.3%	99.5%	98.4%	98.2%	98.6%
18	99.4%	99.4%	99.5%	98.4%	98.3%	98.6%
17	99.5%	99.4%	99.5%	98.5%	98.4%	98.6%
16	99.5%	99.4%	99.5%	98.5%	98.4%	98.7%
15	99.5%	99.5%	99.5%	98.6%	98.5%	98.7%
14	99.5%	99.5%	99.6%	98.6%	98.5%	98.7%
13	99.6%	99.5%	99.6%	98.6%	98.5%	98.7%
12	99.6%	99.6%	99.6%	98.6%	98.5%	98.8%
11	99.6%	99.6%	99.6%	98.7%	98.5%	98.8%
10	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
9	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
8	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
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%	98.7%	98.7%	98.8%
4	99.7%	99.6%	99.7%	98.8%	98.7%	98.8%
3	99.7%	99.7%	99.7%	98.8%	98.7%	98.9%
2	99.7%	99.7%	99.7%	98.8%	98.8%	98.9%
1	99.7%	99.7%	99.7%	98.9%	98.8%	99%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 85.1% in Mauritius are expected to live past 60, 72.1% and 71.2% past 70, 51.1% and 47.4% past 80, and only 18.6% and 17.3% 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

Mauritius

Male

Female

1x

Age	Probability of dying
	Lithuania			Mauritius
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	29.4%	30.3%	28.9%
99	36.9%	37.2%	36.8%	27.8%	28.8%	27.3%
98	34.4%	35%	34.3%	26.1%	27.3%	25.5%
97	32%	32.8%	31.8%	24.5%	25.8%	23.8%
96	29.6%	30.6%	29.3%	22.9%	24.3%	22.2%
95	27.1%	28.5%	26.8%	21.3%	22.9%	20.6%
94	25.2%	27.3%	24.6%	19.8%	21.5%	19.1%
93	23.2%	25.7%	22.5%	18.4%	20.1%	17.6%
92	20.7%	22.1%	20.2%	17.1%	18.8%	16.2%
91	18.3%	19.3%	18%	15.9%	17.6%	15%
90	16.8%	19.1%	16.1%	14.8%	16.6%	13.9%
89	15.2%	17.3%	14.5%	13.8%	15.5%	12.8%
88	13.5%	15.1%	13%	12.8%	14.5%	11.8%
87	12.3%	14.4%	11.6%	11.8%	13.4%	10.7%
86	11%	13.1%	10.2%	10.7%	12.3%	9.68%
85	9.6%	11.4%	8.93%	9.72%	11.2%	8.67%
84	8.47%	10.4%	7.75%	8.77%	10.2%	7.74%
83	7.54%	9.67%	6.7%	7.92%	9.36%	6.92%
82	6.69%	8.81%	5.82%	7.21%	8.61%	6.22%
81	6.01%	8.11%	5.12%	6.61%	7.96%	5.64%
80	5.41%	7.44%	4.51%	6.1%	7.4%	5.15%
79	4.77%	6.65%	3.91%	5.65%	6.89%	4.73%
78	4.3%	6.23%	3.39%	5.23%	6.39%	4.35%
77	3.98%	6%	2.98%	4.83%	5.89%	4%
76	3.69%	5.61%	2.7%	4.43%	5.39%	3.66%
75	3.4%	5.16%	2.45%	4.04%	4.9%	3.34%
74	3.14%	4.82%	2.19%	3.69%	4.45%	3.04%
73	2.93%	4.53%	1.99%	3.37%	4.06%	2.77%
72	2.74%	4.26%	1.82%	3.09%	3.73%	2.53%
71	2.54%	4.02%	1.6%	2.85%	3.47%	2.31%
70	2.35%	3.77%	1.44%	2.65%	3.25%	2.11%
69	2.23%	3.51%	1.37%	2.47%	3.07%	1.93%
68	2.11%	3.33%	1.26%	2.3%	2.9%	1.76%
67	2.01%	3.19%	1.16%	2.14%	2.73%	1.6%
66	1.92%	3.03%	1.11%	1.97%	2.56%	1.44%
65	1.79%	2.81%	1.01%	1.82%	2.38%	1.3%
64	1.64%	2.58%	0.9%	1.67%	2.2%	1.17%
63	1.52%	2.36%	0.83%	1.52%	2.01%	1.06%
62	1.41%	2.17%	0.78%	1.39%	1.83%	0.96%
61	1.31%	2.01%	0.71%	1.26%	1.66%	0.88%
60	1.2%	1.86%	0.63%	1.15%	1.51%	0.8%
59	1.09%	1.69%	0.58%	1.05%	1.37%	0.74%
58	0.98%	1.48%	0.54%	0.97%	1.26%	0.68%
57	0.91%	1.39%	0.47%	0.9%	1.17%	0.63%
56	0.86%	1.34%	0.42%	0.84%	1.1%	0.58%
55	0.83%	1.26%	0.42%	0.79%	1.04%	0.53%
54	0.78%	1.16%	0.42%	0.74%	0.99%	0.49%
53	0.7%	1.06%	0.36%	0.7%	0.94%	0.45%
52	0.65%	0.97%	0.34%	0.65%	0.89%	0.42%
51	0.61%	0.88%	0.34%	0.61%	0.83%	0.39%
50	0.56%	0.83%	0.29%	0.57%	0.77%	0.36%
49	0.53%	0.78%	0.27%	0.53%	0.71%	0.34%
48	0.51%	0.74%	0.27%	0.48%	0.64%	0.32%
47	0.48%	0.69%	0.25%	0.45%	0.59%	0.3%
46	0.44%	0.64%	0.23%	0.41%	0.53%	0.28%
45	0.41%	0.6%	0.2%	0.37%	0.48%	0.26%
44	0.38%	0.54%	0.2%	0.34%	0.44%	0.24%
43	0.35%	0.5%	0.19%	0.32%	0.41%	0.22%
42	0.33%	0.49%	0.16%	0.3%	0.39%	0.2%
41	0.31%	0.47%	0.13%	0.28%	0.37%	0.18%
40	0.28%	0.42%	0.13%	0.27%	0.36%	0.16%
39	0.28%	0.41%	0.13%	0.25%	0.34%	0.15%
38	0.27%	0.4%	0.12%	0.23%	0.32%	0.13%
37	0.23%	0.33%	0.11%	0.21%	0.3%	0.12%
36	0.21%	0.3%	0.1%	0.2%	0.27%	0.11%
35	0.2%	0.29%	0.09%	0.18%	0.24%	0.1%
34	0.19%	0.28%	0.09%	0.16%	0.22%	0.1%
33	0.18%	0.26%	0.09%	0.15%	0.2%	0.09%
32	0.15%	0.23%	0.06%	0.14%	0.18%	0.09%
31	0.13%	0.2%	0.06%	0.13%	0.17%	0.08%
30	0.13%	0.19%	0.06%	0.13%	0.17%	0.08%
29	0.13%	0.2%	0.05%	0.12%	0.17%	0.07%
28	0.11%	0.18%	0.04%	0.12%	0.16%	0.07%
27	0.09%	0.14%	0.04%	0.11%	0.16%	0.07%
26	0.08%	0.13%	0.04%	0.11%	0.15%	0.06%
25	0.08%	0.12%	0.03%	0.1%	0.14%	0.06%
24	0.07%	0.11%	0.03%	0.09%	0.13%	0.06%
23	0.07%	0.1%	0.03%	0.09%	0.13%	0.05%
22	0.06%	0.09%	0.03%	0.09%	0.12%	0.05%
21	0.06%	0.08%	0.03%	0.08%	0.12%	0.05%
20	0.06%	0.08%	0.03%	0.08%	0.11%	0.04%
19	0.06%	0.09%	0.03%	0.07%	0.11%	0.04%
18	0.05%	0.07%	0.03%	0.07%	0.09%	0.04%
17	0.03%	0.04%	0.02%	0.06%	0.08%	0.03%
16	0.03%	0.05%	0.02%	0.04%	0.06%	0.03%
15	0.03%	0.04%	0.02%	0.03%	0.04%	0.03%
14	0.03%	0.03%	0.02%	0.03%	0.03%	0.02%
13	0.02%	0.02%	0.02%	0.02%	0.02%	0.02%
12	0.01%	0.02%	0.01%	0.02%	0.02%	0.02%
11	0.01%	0.02%	0.008%	0.02%	0.02%	0.01%
10	0.01%	0.01%	0.01%	0.01%	0.02%	0.01%
9	0.01%	0.009%	0.01%	0.01%	0.02%	0.01%
8	0.01%	0.01%	0.01%	0.01%	0.02%	0.009%
7	0.01%	0.01%	0.01%	0.01%	0.02%	0.01%
6	0.01%	0.009%	0.01%	0.02%	0.02%	0.01%
5	0.009%	0.009%	0.01%	0.02%	0.02%	0.01%
4	0.01%	0.01%	0.01%	0.02%	0.03%	0.02%
3	0.01%	0.01%	0.01%	0.03%	0.04%	0.03%
2	0.01%	0.01%	0.01%	0.04%	0.05%	0.04%
1	0.03%	0.02%	0.03%	0.06%	0.06%	0.06%
0	0.29%	0.3%	0.28%	1.1%	1.18%	1.02%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 1.1% in Mauritius, 0.13% vs 0.13% at age 30, 1.2% vs 1.15% at 60, and 5.41% vs 6.1% at 80.

Death rate by age in Lithuania vs Mauritius

Chart Table

Lithuania

Male

Female

Mauritius

Male

Female

1x

Age	Death rate
	Lithuania			Mauritius
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	412	218.2	619
99	485	230.3	706	632	384	898
98	690	333	1,000	805	500	1,128
97	945	465	1,362	999	637	1,383
96	1,240	624	1,777	1,212	793	1,656
95	1,559	812	2,213	1,436	967	1,937
94	1,933	1,074	2,695	1,664	1,155	2,212
93	2,322	1,356	3,186	1,890	1,353	2,475
92	2,605	1,503	3,588	2,118	1,561	2,730
91	2,822	1,627	3,887	2,346	1,777	2,974
90	3,119	1,989	4,148	2,569	1,998	3,197
89	3,315	2,179	4,361	2,776	2,215	3,387
88	3,420	2,242	4,500	2,952	2,414	3,526
87	3,556	2,501	4,539	3,077	2,581	3,596
86	3,561	2,606	4,462	3,142	2,703	3,591
85	3,442	2,562	4,282	3,149	2,783	3,521
84	3,319	2,605	4,028	3,114	2,828	3,408
83	3,194	2,688	3,733	3,056	2,851	3,273
82	3,036	2,683	3,441	2,996	2,867	3,139
81	2,903	2,691	3,191	2,940	2,881	3,015
80	2,761	2,665	2,945	2,890	2,891	2,902
79	2,559	2,550	2,657	2,839	2,890	2,798
78	2,410	2,551	2,381	2,774	2,864	2,691
77	2,321	2,611	2,161	2,689	2,805	2,576
76	2,234	2,586	2,009	2,581	2,712	2,448
75	2,134	2,512	1,873	2,457	2,594	2,311
74	2,030	2,466	1,712	2,326	2,467	2,171
73	1,953	2,423	1,589	2,199	2,346	2,033
72	1,881	2,380	1,473	2,082	2,241	1,902
71	1,785	2,341	1,322	1,979	2,156	1,778
70	1,696	2,284	1,202	1,888	2,089	1,661
69	1,642	2,203	1,159	1,803	2,034	1,548
68	1,590	2,161	1,081	1,718	1,979	1,436
67	1,542	2,140	1,004	1,631	1,917	1,325
66	1,507	2,091	975	1,538	1,843	1,215
65	1,429	2,002	900	1,442	1,756	1,110
64	1,330	1,887	809	1,345	1,658	1,013
63	1,248	1,765	754	1,248	1,550	926
62	1,177	1,655	711	1,153	1,438	849
61	1,106	1,569	648	1,062	1,326	780
60	1,028	1,481	582	979	1,221	720
59	942	1,363	535	906	1,128	667
58	857	1,218	506	842	1,050	619
57	800	1,155	445	788	987	574
56	766	1,132	394	742	937	532
55	742	1,077	398	702	896	493
54	702	1,001	394	665	860	457
53	639	928	338	630	825	423
52	596	853	327	595	785	393
51	560	787	324	559	740	367
50	518	741	280.7	523	690	344
49	493	708	260	487	639	323
48	475	674	256.5	451	587	305
47	448	630	244.5	416	536	287.2
46	417	589	222.4	383	488	270.1
45	391	555	199.3	353	444	252.8
44	361	507	192	326	409	234.6
43	336	467	183.2	303	382	215.4
42	320	461	155.8	284	363	195.6
41	301	446	132.1	267.8	349	176
40	275.1	398	130.8	253.6	338	157.6
39	271.3	396	125	239.3	325	141.2
38	262.3	387	115.9	223.8	309	127.2
37	224.5	322	110.3	206.5	286.3	115.8
36	201.3	287.8	100.8	188.4	260.4	106.8
35	194	281.1	93.1	171.2	234.3	100
34	186.8	269.6	92.7	156.2	210.8	94.6
33	172.2	250.4	84.7	143.9	191.6	90.3
32	148.5	225.2	62.9	134.4	177.6	86.1
31	130.3	194.6	59.1	127.5	168.4	81.9
30	123.6	182.3	59.6	122.5	163.2	77.6
29	123.7	194.9	46.9	118.8	160.3	73.4
28	109.5	173.6	40.2	114.9	156.9	69.4
27	90.6	138.4	39.5	110.1	151.8	65.6
26	82.1	123.9	38.2	104.4	144.4	62.1
25	77	118.5	33.7	98.4	136.3	58.9
24	67.9	107	27.3	93	129.1	55.7
23	64.5	99.2	28.2	88.5	123.8	52.6
22	62.3	92.2	31.2	84.9	119.8	49.5
21	56.7	82.6	30	81.5	116.5	46.6
20	56.2	83.3	28.3	77.9	112.4	43.7
19	62.7	94.3	30	72.8	105.4	40.9
18	50.7	70.8	29.8	64.9	92.8	37.8
17	34.2	43.8	24.1	54.6	75.7	34.3
16	30.9	45.9	15.2	43.5	57.1	30.5
15	29.1	40.8	16.8	34	41.5	26.7
14	25	28.9	20.8	26.6	30.1	23.2
13	19.1	21.8	16.4	21.4	22.9	19.9
12	14.3	18.6	9.7	17.6	18.5	16.7
11	12.2	15.7	8.41	14.9	16.1	13.7
10	10.5	10.8	10.2	13.2	15	11.3
9	10.3	9.11	11.5	12.4	15	9.77
8	12	13.2	10.7	12.5	15.9	9.22
7	11.3	12	10.7	13.5	17.5	9.59
6	9.63	8.66	10.7	15.4	20.1	11
5	9.42	9.23	9.62	18.5	23.7	13.7
4	11.3	12.2	10.4	23.5	28.7	18.4
3	13.8	14.4	13.1	31.1	35.7	26.4
2	13.2	14.4	11.8	42.9	45.6	40.1
1	25.4	24.3	26.4	61.6	59.5	63.9
0	291.9	305	278.5	1,101	1,178	1,021

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 85 in Mauritius. The median age of death is 80.4 in Lithuania and 79.1 in Mauritius, 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 Mauritius more than their death rates.

Life expectancy in other countries

+ -

1x