Life Expectancy in Lithuania vs Mauritania (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Mauritania

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Mauritania
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.8	101.7	101.9
99	101.1	100.9	101.1	100.9	100.8	101
98	100.2	100.1	100.2	100	99.9	100.1
97	99.3	99.2	99.3	99.1	99	99.2
96	98.5	98.4	98.5	98.2	98.1	98.3
95	97.7	97.6	97.7	97.4	97.2	97.4
94	96.9	96.7	96.9	96.5	96.3	96.6
93	96.1	95.9	96.1	95.6	95.5	95.7
92	95.4	95.2	95.4	94.8	94.6	94.9
91	94.6	94.4	94.7	94	93.8	94.1
90	94	93.7	94	93.2	92.9	93.3
89	93.3	93	93.4	92.3	92.1	92.5
88	92.6	92.3	92.7	91.6	91.3	91.7
87	92	91.6	92.1	90.8	90.5	91
86	91.4	90.9	91.6	90	89.7	90.2
85	90.8	90.3	91	89.3	89	89.5
84	90.3	89.7	90.5	88.6	88.2	88.8
83	89.8	89.1	90	87.9	87.5	88.1
82	89.3	88.5	89.6	87.2	86.8	87.5
81	88.8	88	89.2	86.5	86.1	86.9
80	88.4	87.4	88.8	85.9	85.5	86.2
79	88	86.9	88.4	85.3	84.8	85.6
78	87.5	86.4	88.1	84.7	84.2	85.1
77	87.1	85.8	87.8	84.1	83.6	84.5
76	86.8	85.3	87.5	83.5	83	84
75	86.4	84.8	87.2	83	82.4	83.5
74	86	84.3	86.9	82.5	81.8	83
73	85.6	83.8	86.6	82	81.3	82.6
72	85.3	83.3	86.4	81.5	80.7	82.1
71	84.9	82.9	86.1	81	80.2	81.7
70	84.6	82.4	85.9	80.6	79.8	81.3
69	84.2	81.9	85.7	80.2	79.3	81
68	83.9	81.5	85.5	79.8	78.8	80.6
67	83.6	81	85.3	79.4	78.4	80.3
66	83.3	80.6	85.1	79	78	80
65	82.9	80.2	84.9	78.7	77.6	79.7
64	82.6	79.8	84.7	78.3	77.2	79.4
63	82.3	79.4	84.5	78	76.8	79.1
62	82.1	79	84.3	77.7	76.5	78.9
61	81.8	78.7	84.2	77.4	76.2	78.6
60	81.5	78.3	84	77.1	75.9	78.4
59	81.3	78	83.9	76.9	75.6	78.2
58	81.1	77.7	83.7	76.6	75.3	78
57	80.9	77.4	83.6	76.4	75	77.8
56	80.7	77.2	83.5	76.2	74.8	77.6
55	80.4	76.9	83.4	76	74.5	77.4
54	80.2	76.6	83.3	75.8	74.3	77.2
53	80.1	76.4	83.2	75.6	74.1	77
52	79.9	76.2	83.1	75.4	73.9	76.9
51	79.7	75.9	82.9	75.2	73.7	76.7
50	79.5	75.7	82.9	75	73.5	76.5
49	79.4	75.5	82.8	74.9	73.3	76.4
48	79.2	75.3	82.7	74.7	73.2	76.3
47	79.1	75.1	82.6	74.6	73	76.1
46	78.9	74.9	82.5	74.5	72.9	76
45	78.8	74.8	82.4	74.3	72.7	75.9
44	78.7	74.6	82.3	74.2	72.6	75.8
43	78.5	74.4	82.3	74.1	72.5	75.7
42	78.4	74.3	82.2	74	72.4	75.6
41	78.3	74.1	82.2	73.9	72.3	75.5
40	78.2	74	82.1	73.8	72.2	75.4
39	78.1	73.9	82	73.7	72.1	75.3
38	78	73.7	82	73.6	72	75.2
37	77.9	73.6	81.9	73.5	71.9	75.1
36	77.8	73.5	81.9	73.4	71.8	75
35	77.7	73.4	81.9	73.4	71.7	74.9
34	77.6	73.3	81.8	73.3	71.6	74.9
33	77.6	73.2	81.8	73.2	71.6	74.8
32	77.5	73.1	81.7	73.1	71.5	74.7
31	77.4	73	81.7	73.1	71.4	74.7
30	77.4	72.9	81.7	73	71.3	74.6
29	77.3	72.8	81.7	72.9	71.3	74.5
28	77.3	72.7	81.6	72.8	71.2	74.5
27	77.2	72.7	81.6	72.8	71.1	74.4
26	77.2	72.6	81.6	72.7	71	74.3
25	77.1	72.6	81.6	72.6	70.9	74.3
24	77.1	72.5	81.6	72.6	70.9	74.2
23	77.1	72.5	81.5	72.5	70.8	74.2
22	77	72.4	81.5	72.4	70.7	74.1
21	77	72.4	81.5	72.3	70.6	74.1
20	77	72.3	81.5	72.3	70.5	74
19	76.9	72.3	81.5	72.2	70.4	73.9
18	76.9	72.2	81.4	72.1	70.3	73.9
17	76.9	72.2	81.4	72.1	70.3	73.8
16	76.9	72.2	81.4	72	70.2	73.8
15	76.8	72.2	81.4	72	70.1	73.7
14	76.8	72.2	81.4	71.9	70.1	73.7
13	76.8	72.1	81.4	71.9	70.1	73.7
12	76.8	72.1	81.4	71.9	70	73.6
11	76.8	72.1	81.4	71.8	70	73.6
10	76.8	72.1	81.4	71.8	70	73.6
9	76.8	72.1	81.4	71.8	69.9	73.6
8	76.8	72.1	81.3	71.7	69.9	73.5
7	76.8	72.1	81.3	71.7	69.8	73.5
6	76.8	72.1	81.3	71.6	69.8	73.4
5	76.8	72.1	81.3	71.6	69.7	73.4
4	76.7	72.1	81.3	71.5	69.6	73.3
3	76.7	72.1	81.3	71.4	69.5	73.2
2	76.7	72	81.3	71.3	69.4	73.1
1	76.7	72	81.3	71.1	69.2	72.9
0	76.5	71.8	81.1	69.2	67.1	71.2

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 in Mauritania, rising to 82.9 and 78.7 at 65, and to 88.4 and 85.9 at 80 — higher than the 76.5 and 69.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Mauritania

Male

Female

1x

Age	Survival probability
	Lithuania			Mauritania
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.12%	0.06%	0.2%
99	1.32%	0.62%	1.92%	0.2%	0.11%	0.32%
98	2.01%	0.95%	2.92%	0.32%	0.17%	0.5%
97	2.95%	1.42%	4.28%	0.5%	0.28%	0.77%
96	4.19%	2.04%	6.06%	0.76%	0.44%	1.15%
95	5.75%	2.85%	8.27%	1.12%	0.66%	1.66%
94	7.68%	3.93%	11%	1.61%	0.97%	2.34%
93	10%	5.28%	14.2%	2.25%	1.4%	3.22%
92	12.6%	6.79%	17.7%	3.07%	1.96%	4.32%
91	15.4%	8.41%	21.6%	4.1%	2.69%	5.68%
90	18.6%	10.4%	25.8%	5.36%	3.6%	7.31%
89	21.9%	12.6%	30.1%	6.88%	4.74%	9.22%
88	25.3%	14.8%	34.6%	8.66%	6.11%	11.4%
87	28.8%	17.3%	39.2%	10.7%	7.72%	13.9%
86	32.4%	19.9%	43.6%	13%	9.58%	16.7%
85	35.8%	22.5%	47.9%	15.6%	11.7%	19.7%
84	39.2%	25.1%	51.9%	18.3%	14%	22.8%
83	42.4%	27.8%	55.7%	21.2%	16.5%	26.2%
82	45.4%	30.5%	59.1%	24.3%	19.2%	29.6%
81	48.3%	33.2%	62.3%	27.5%	22%	33.1%
80	51.1%	35.8%	65.3%	30.8%	25%	36.6%
79	53.6%	38.4%	67.9%	34.1%	28.1%	40.2%
78	56%	40.9%	70.3%	37.4%	31.2%	43.7%
77	58.3%	43.5%	72.5%	40.7%	34.4%	47.1%
76	60.6%	46.1%	74.5%	44%	37.6%	50.3%
75	62.7%	48.6%	76.3%	47.2%	40.8%	53.5%
74	64.7%	51.1%	78.1%	50.3%	43.9%	56.5%
73	66.7%	53.5%	79.6%	53.2%	47%	59.3%
72	68.6%	55.9%	81.1%	56.1%	50%	62%
71	70.4%	58.2%	82.4%	58.8%	52.9%	64.5%
70	72.1%	60.5%	83.6%	61.3%	55.6%	66.8%
69	73.7%	62.7%	84.8%	63.7%	58.3%	68.9%
68	75.3%	64.9%	85.9%	66%	60.8%	70.9%
67	76.8%	67%	86.9%	68.1%	63.2%	72.7%
66	78.3%	69.1%	87.9%	70.1%	65.5%	74.4%
65	79.8%	71.1%	88.8%	72%	67.7%	76%
64	81.1%	73%	89.6%	73.7%	69.7%	77.4%
63	82.3%	74.8%	90.3%	75.3%	71.6%	78.8%
62	83.5%	76.4%	91%	76.8%	73.4%	80%
61	84.6%	78%	91.7%	78.2%	75%	81.2%
60	85.7%	79.5%	92.3%	79.5%	76.6%	82.2%
59	86.6%	80.8%	92.8%	80.7%	78%	83.2%
58	87.5%	82.1%	93.3%	81.8%	79.3%	84.1%
57	88.3%	83.2%	93.7%	82.8%	80.5%	85%
56	89%	84.4%	94.1%	83.8%	81.6%	85.7%
55	89.8%	85.4%	94.5%	84.6%	82.7%	86.5%
54	90.5%	86.4%	94.9%	85.4%	83.6%	87.2%
53	91.1%	87.4%	95.3%	86.2%	84.5%	87.8%
52	91.7%	88.2%	95.6%	86.9%	85.3%	88.4%
51	92.3%	89%	95.9%	87.5%	86%	89%
50	92.8%	89.7%	96.2%	88.1%	86.7%	89.5%
49	93.3%	90.4%	96.5%	88.7%	87.3%	90%
48	93.7%	91.1%	96.7%	89.2%	87.9%	90.4%
47	94.2%	91.8%	97%	89.6%	88.4%	90.8%
46	94.6%	92.3%	97.2%	90.1%	88.9%	91.2%
45	95%	92.9%	97.4%	90.5%	89.3%	91.6%
44	95.4%	93.4%	97.6%	90.8%	89.8%	91.9%
43	95.7%	93.9%	97.8%	91.2%	90.1%	92.2%
42	96%	94.3%	97.9%	91.5%	90.5%	92.5%
41	96.3%	94.8%	98%	91.8%	90.8%	92.8%
40	96.6%	95.2%	98.2%	92.1%	91.1%	93%
39	96.9%	95.6%	98.3%	92.3%	91.3%	93.3%
38	97.1%	96%	98.4%	92.5%	91.6%	93.5%
37	97.4%	96.3%	98.5%	92.8%	91.8%	93.7%
36	97.6%	96.6%	98.6%	93%	92.1%	93.9%
35	97.8%	96.9%	98.7%	93.2%	92.3%	94.1%
34	97.9%	97.1%	98.8%	93.4%	92.5%	94.3%
33	98.1%	97.4%	98.9%	93.5%	92.7%	94.4%
32	98.3%	97.6%	99%	93.7%	92.8%	94.6%
31	98.4%	97.8%	99%	93.9%	93%	94.7%
30	98.5%	98%	99.1%	94%	93.2%	94.9%
29	98.6%	98.2%	99.1%	94.2%	93.4%	95%
28	98.7%	98.3%	99.2%	94.3%	93.5%	95.1%
27	98.8%	98.5%	99.2%	94.5%	93.7%	95.3%
26	98.9%	98.6%	99.2%	94.6%	93.9%	95.4%
25	99%	98.7%	99.3%	94.7%	94%	95.5%
24	99.1%	98.8%	99.3%	94.9%	94.2%	95.6%
23	99.1%	98.9%	99.3%	95%	94.4%	95.7%
22	99.2%	99%	99.4%	95.2%	94.5%	95.8%
21	99.2%	99.1%	99.4%	95.3%	94.7%	95.9%
20	99.3%	99.2%	99.4%	95.4%	94.9%	96%
19	99.4%	99.3%	99.5%	95.6%	95%	96.1%
18	99.4%	99.4%	99.5%	95.7%	95.2%	96.2%
17	99.5%	99.4%	99.5%	95.8%	95.3%	96.3%
16	99.5%	99.4%	99.5%	95.9%	95.4%	96.4%
15	99.5%	99.5%	99.5%	96%	95.5%	96.4%
14	99.5%	99.5%	99.6%	96.1%	95.6%	96.5%
13	99.6%	99.5%	99.6%	96.1%	95.7%	96.6%
12	99.6%	99.6%	99.6%	96.2%	95.7%	96.6%
11	99.6%	99.6%	99.6%	96.2%	95.8%	96.7%
10	99.6%	99.6%	99.6%	96.3%	95.8%	96.7%
9	99.6%	99.6%	99.6%	96.3%	95.9%	96.7%
8	99.6%	99.6%	99.6%	96.4%	95.9%	96.8%
7	99.6%	99.6%	99.6%	96.4%	96%	96.9%
6	99.6%	99.6%	99.7%	96.5%	96.1%	96.9%
5	99.6%	99.6%	99.7%	96.6%	96.2%	97%
4	99.7%	99.6%	99.7%	96.7%	96.3%	97.1%
3	99.7%	99.7%	99.7%	96.8%	96.5%	97.2%
2	99.7%	99.7%	99.7%	97%	96.7%	97.4%
1	99.7%	99.7%	99.7%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 79.5% in Mauritania are expected to live past 60, 72.1% and 61.3% past 70, 51.1% and 30.8% past 80, and only 18.6% and 5.36% 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

Mauritania

Male

Female

1x

Age	Probability of dying
	Lithuania			Mauritania
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	41.2%	42.7%	40.3%
99	36.9%	37.2%	36.8%	39.3%	40.9%	38.4%
98	34.4%	35%	34.3%	37.5%	39.2%	36.6%
97	32%	32.8%	31.8%	35.7%	37.5%	34.8%
96	29.6%	30.6%	29.3%	33.9%	35.7%	32.9%
95	27.1%	28.5%	26.8%	32%	33.9%	31%
94	25.2%	27.3%	24.6%	30.2%	32.2%	29.1%
93	23.2%	25.7%	22.5%	28.4%	30.4%	27.3%
92	20.7%	22.1%	20.2%	26.7%	28.7%	25.5%
91	18.3%	19.3%	18%	25.1%	27.1%	23.9%
90	16.8%	19.1%	16.1%	23.6%	25.5%	22.3%
89	15.2%	17.3%	14.5%	22.1%	23.9%	20.8%
88	13.5%	15.1%	13%	20.6%	22.4%	19.3%
87	12.3%	14.4%	11.6%	19.1%	20.9%	17.9%
86	11%	13.1%	10.2%	17.7%	19.4%	16.5%
85	9.6%	11.4%	8.93%	16.3%	17.9%	15.2%
84	8.47%	10.4%	7.75%	15%	16.5%	13.9%
83	7.54%	9.67%	6.7%	13.8%	15.2%	12.7%
82	6.69%	8.81%	5.82%	12.6%	14%	11.6%
81	6.01%	8.11%	5.12%	11.6%	12.9%	10.6%
80	5.41%	7.44%	4.51%	10.6%	11.9%	9.64%
79	4.77%	6.65%	3.91%	9.73%	11%	8.77%
78	4.3%	6.23%	3.39%	8.91%	10.1%	7.97%
77	3.98%	6%	2.98%	8.14%	9.29%	7.22%
76	3.69%	5.61%	2.7%	7.43%	8.53%	6.54%
75	3.4%	5.16%	2.45%	6.76%	7.82%	5.9%
74	3.14%	4.82%	2.19%	6.14%	7.15%	5.31%
73	2.93%	4.53%	1.99%	5.57%	6.53%	4.78%
72	2.74%	4.26%	1.82%	5.05%	5.96%	4.29%
71	2.54%	4.02%	1.6%	4.58%	5.45%	3.85%
70	2.35%	3.77%	1.44%	4.15%	4.98%	3.45%
69	2.23%	3.51%	1.37%	3.77%	4.55%	3.1%
68	2.11%	3.33%	1.26%	3.43%	4.16%	2.79%
67	2.01%	3.19%	1.16%	3.12%	3.81%	2.52%
66	1.92%	3.03%	1.11%	2.84%	3.48%	2.28%
65	1.79%	2.81%	1.01%	2.59%	3.19%	2.06%
64	1.64%	2.58%	0.9%	2.36%	2.91%	1.87%
63	1.52%	2.36%	0.83%	2.15%	2.65%	1.71%
62	1.41%	2.17%	0.78%	1.96%	2.42%	1.55%
61	1.31%	2.01%	0.71%	1.78%	2.2%	1.42%
60	1.2%	1.86%	0.63%	1.62%	2.01%	1.29%
59	1.09%	1.69%	0.58%	1.48%	1.83%	1.18%
58	0.98%	1.48%	0.54%	1.35%	1.66%	1.08%
57	0.91%	1.39%	0.47%	1.23%	1.51%	0.99%
56	0.86%	1.34%	0.42%	1.13%	1.37%	0.92%
55	0.83%	1.26%	0.42%	1.04%	1.25%	0.85%
54	0.78%	1.16%	0.42%	0.95%	1.14%	0.78%
53	0.7%	1.06%	0.36%	0.87%	1.04%	0.73%
52	0.65%	0.97%	0.34%	0.8%	0.94%	0.68%
51	0.61%	0.88%	0.34%	0.73%	0.86%	0.63%
50	0.56%	0.83%	0.29%	0.67%	0.78%	0.58%
49	0.53%	0.78%	0.27%	0.62%	0.71%	0.54%
48	0.51%	0.74%	0.27%	0.57%	0.65%	0.5%
47	0.48%	0.69%	0.25%	0.52%	0.59%	0.46%
46	0.44%	0.64%	0.23%	0.48%	0.54%	0.43%
45	0.41%	0.6%	0.2%	0.44%	0.49%	0.39%
44	0.38%	0.54%	0.2%	0.4%	0.45%	0.36%
43	0.35%	0.5%	0.19%	0.37%	0.41%	0.34%
42	0.33%	0.49%	0.16%	0.34%	0.38%	0.31%
41	0.31%	0.47%	0.13%	0.32%	0.35%	0.29%
40	0.28%	0.42%	0.13%	0.3%	0.32%	0.27%
39	0.28%	0.41%	0.13%	0.28%	0.3%	0.26%
38	0.27%	0.4%	0.12%	0.26%	0.28%	0.24%
37	0.23%	0.33%	0.11%	0.24%	0.26%	0.22%
36	0.21%	0.3%	0.1%	0.23%	0.24%	0.21%
35	0.2%	0.29%	0.09%	0.21%	0.23%	0.2%
34	0.19%	0.28%	0.09%	0.2%	0.22%	0.18%
33	0.18%	0.26%	0.09%	0.19%	0.21%	0.17%
32	0.15%	0.23%	0.06%	0.18%	0.2%	0.16%
31	0.13%	0.2%	0.06%	0.17%	0.19%	0.16%
30	0.13%	0.19%	0.06%	0.17%	0.18%	0.15%
29	0.13%	0.2%	0.05%	0.16%	0.18%	0.14%
28	0.11%	0.18%	0.04%	0.16%	0.18%	0.14%
27	0.09%	0.14%	0.04%	0.15%	0.18%	0.13%
26	0.08%	0.13%	0.04%	0.15%	0.18%	0.12%
25	0.08%	0.12%	0.03%	0.15%	0.18%	0.12%
24	0.07%	0.11%	0.03%	0.15%	0.18%	0.11%
23	0.07%	0.1%	0.03%	0.15%	0.18%	0.11%
22	0.06%	0.09%	0.03%	0.15%	0.18%	0.11%
21	0.06%	0.08%	0.03%	0.15%	0.18%	0.11%
20	0.06%	0.08%	0.03%	0.14%	0.18%	0.11%
19	0.06%	0.09%	0.03%	0.14%	0.17%	0.1%
18	0.05%	0.07%	0.03%	0.13%	0.16%	0.1%
17	0.03%	0.04%	0.02%	0.11%	0.14%	0.09%
16	0.03%	0.05%	0.02%	0.1%	0.12%	0.08%
15	0.03%	0.04%	0.02%	0.08%	0.1%	0.07%
14	0.03%	0.03%	0.02%	0.07%	0.08%	0.06%
13	0.02%	0.02%	0.02%	0.06%	0.07%	0.05%
12	0.01%	0.02%	0.01%	0.05%	0.06%	0.05%
11	0.01%	0.02%	0.008%	0.05%	0.05%	0.05%
10	0.01%	0.01%	0.01%	0.05%	0.05%	0.05%
9	0.01%	0.009%	0.01%	0.05%	0.06%	0.05%
8	0.01%	0.01%	0.01%	0.06%	0.06%	0.05%
7	0.01%	0.01%	0.01%	0.06%	0.07%	0.06%
6	0.01%	0.009%	0.01%	0.08%	0.08%	0.07%
5	0.009%	0.009%	0.01%	0.09%	0.1%	0.08%
4	0.01%	0.01%	0.01%	0.11%	0.13%	0.1%
3	0.01%	0.01%	0.01%	0.14%	0.16%	0.13%
2	0.01%	0.01%	0.01%	0.18%	0.2%	0.17%
1	0.03%	0.02%	0.03%	0.24%	0.26%	0.21%
0	0.29%	0.3%	0.28%	2.75%	3.1%	2.4%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 2.75% in Mauritania, 0.13% vs 0.17% at age 30, 1.2% vs 1.62% at 60, and 5.41% vs 10.6% at 80.

Death rate by age in Lithuania vs Mauritania

Chart Table

Lithuania

Male

Female

Mauritania

Male

Female

1x

Age	Death rate
	Lithuania			Mauritania
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	0	0	0
99	485	230.3	706	79.7	43.5	122.2
98	690	333	1,000	121.8	68.6	183.7
97	945	465	1,362	180.3	105	267.3
96	1,240	624	1,777	258.6	155.7	377
95	1,559	812	2,213	360	223.8	514
94	1,933	1,074	2,695	486	313	681
93	2,322	1,356	3,186	639	425	878
92	2,605	1,503	3,588	820	562	1,104
91	2,822	1,627	3,887	1,029	727	1,355
90	3,119	1,989	4,148	1,263	919	1,628
89	3,315	2,179	4,361	1,517	1,135	1,916
88	3,420	2,242	4,500	1,783	1,370	2,207
87	3,556	2,501	4,539	2,051	1,615	2,491
86	3,561	2,606	4,462	2,308	1,860	2,754
85	3,442	2,562	4,282	2,544	2,094	2,986
84	3,319	2,605	4,028	2,752	2,312	3,179
83	3,194	2,688	3,733	2,928	2,508	3,330
82	3,036	2,683	3,441	3,072	2,682	3,439
81	2,903	2,691	3,191	3,184	2,835	3,506
80	2,761	2,665	2,945	3,265	2,966	3,534
79	2,559	2,550	2,657	3,315	3,072	3,524
78	2,410	2,551	2,381	3,332	3,149	3,478
77	2,321	2,611	2,161	3,317	3,196	3,399
76	2,234	2,586	2,009	3,269	3,208	3,290
75	2,134	2,512	1,873	3,191	3,188	3,156
74	2,030	2,466	1,712	3,089	3,140	3,001
73	1,953	2,423	1,589	2,968	3,069	2,833
72	1,881	2,380	1,473	2,833	2,981	2,657
71	1,785	2,341	1,322	2,692	2,880	2,479
70	1,696	2,284	1,202	2,547	2,770	2,304
69	1,642	2,203	1,159	2,402	2,654	2,136
68	1,590	2,161	1,081	2,260	2,533	1,977
67	1,542	2,140	1,004	2,122	2,409	1,830
66	1,507	2,091	975	1,989	2,283	1,693
65	1,429	2,002	900	1,861	2,155	1,568
64	1,330	1,887	809	1,736	2,027	1,452
63	1,248	1,765	754	1,617	1,901	1,344
62	1,177	1,655	711	1,503	1,776	1,243
61	1,106	1,569	648	1,394	1,654	1,149
60	1,028	1,481	582	1,291	1,536	1,062
59	942	1,363	535	1,194	1,423	982
58	857	1,218	506	1,105	1,316	909
57	800	1,155	445	1,022	1,216	844
56	766	1,132	394	946	1,122	785
55	742	1,077	398	876	1,034	732
54	702	1,001	394	811	952	684
53	639	928	338	751	876	639
52	596	853	327	695	805	597
51	560	787	324	642	740	557
50	518	741	280.7	594	679	520
49	493	708	260	548	622	484
48	475	674	256.5	505	569	450
47	448	630	244.5	466	521	418
46	417	589	222.4	429	477	388
45	391	555	199.3	396	437	360
44	361	507	192	366	401	335
43	336	467	183.2	338	368	312
42	320	461	155.8	314	340	291.1
41	301	446	132.1	292.2	315	272.3
40	275.1	398	130.8	272.5	292.1	255.1
39	271.3	396	125	254.8	272.2	239.1
38	262.3	387	115.9	238.5	254.4	224.2
37	224.5	322	110.3	223.5	238.4	210.1
36	201.3	287.8	100.8	209.8	224.1	196.8
35	194	281.1	93.1	197.3	211.4	184.5
34	186.8	269.6	92.7	186.2	200.3	173.3
33	172.2	250.4	84.7	176.5	190.7	163.4
32	148.5	225.2	62.9	168.2	182.7	154.8
31	130.3	194.6	59.1	161.2	176.2	147.3
30	123.6	182.3	59.6	155.4	171.2	140.7
29	123.7	194.9	46.9	150.7	167.7	134.7
28	109.5	173.6	40.2	146.8	165.6	129
27	90.6	138.4	39.5	143.7	164.9	123.5
26	82.1	123.9	38.2	141.3	165.4	118.3
25	77	118.5	33.7	139.8	167	113.7
24	67.9	107	27.3	139.2	169.5	109.9
23	64.5	99.2	28.2	139.3	172.3	107.1
22	62.3	92.2	31.2	139.7	174.6	105.3
21	56.7	82.6	30	139.6	175.1	104.1
20	56.2	83.3	28.3	137.4	172.1	102.6
19	62.7	94.3	30	132	163.8	99.7
18	50.7	70.8	29.8	122.6	150	94.7
17	34.2	43.8	24.1	109.6	131.5	87.1
16	30.9	45.9	15.2	94.8	111.3	77.9
15	29.1	40.8	16.8	80.3	92	68.2
14	25	28.9	20.8	67.9	76	59.4
13	19.1	21.8	16.4	58.4	64.2	52.4
12	14.3	18.6	9.7	52	56.4	47.5
11	12.2	15.7	8.41	48.7	52.3	44.9
10	10.5	10.8	10.2	48	51.4	44.4
9	10.3	9.11	11.5	49.9	53.5	46.1
8	12	13.2	10.7	54.5	58.7	50.2
7	11.3	12	10.7	62.2	67.2	57
6	9.63	8.66	10.7	73.5	79.7	67.1
5	9.42	9.23	9.62	89.4	97.2	81.4
4	11.3	12.2	10.4	111.2	120.9	101.1
3	13.8	14.4	13.1	140.3	152.5	127.7
2	13.2	14.4	11.8	178.7	193.9	163
1	25.4	24.3	26.4	228.6	247.6	209
0	291.9	305	278.5	2,753	3,099	2,399

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 78 in Mauritania. The median age of death is 80.4 in Lithuania and 74.1 in Mauritania, 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 Mauritania more than their death rates.

Life expectancy in other countries

+ -

1x