Life Expectancy in Lithuania vs Yemen (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Yemen

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Yemen
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.7	101.6	101.7
99	101.1	100.9	101.1	100.7	100.6	100.8
98	100.2	100.1	100.2	99.8	99.7	99.8
97	99.3	99.2	99.3	98.9	98.8	98.9
96	98.5	98.4	98.5	98	97.9	98
95	97.7	97.6	97.7	97.1	97	97.2
94	96.9	96.7	96.9	96.3	96.1	96.3
93	96.1	95.9	96.1	95.4	95.2	95.5
92	95.4	95.2	95.4	94.6	94.4	94.7
91	94.6	94.4	94.7	93.8	93.5	93.9
90	94	93.7	94	93	92.7	93.1
89	93.3	93	93.4	92.2	91.9	92.3
88	92.6	92.3	92.7	91.4	91.1	91.6
87	92	91.6	92.1	90.7	90.4	90.8
86	91.4	90.9	91.6	89.9	89.6	90.1
85	90.8	90.3	91	89.2	88.9	89.4
84	90.3	89.7	90.5	88.5	88.2	88.7
83	89.8	89.1	90	87.8	87.5	88
82	89.3	88.5	89.6	87.1	86.8	87.3
81	88.8	88	89.2	86.5	86.2	86.7
80	88.4	87.4	88.8	85.9	85.5	86.1
79	88	86.9	88.4	85.3	84.9	85.5
78	87.5	86.4	88.1	84.7	84.3	85
77	87.1	85.8	87.8	84.2	83.7	84.5
76	86.8	85.3	87.5	83.6	83.1	84
75	86.4	84.8	87.2	83.1	82.6	83.5
74	86	84.3	86.9	82.6	82.1	83
73	85.6	83.8	86.6	82.1	81.6	82.6
72	85.3	83.3	86.4	81.7	81.1	82.2
71	84.9	82.9	86.1	81.3	80.6	81.8
70	84.6	82.4	85.9	80.8	80.1	81.4
69	84.2	81.9	85.7	80.4	79.7	81.1
68	83.9	81.5	85.5	80.1	79.3	80.7
67	83.6	81	85.3	79.7	78.9	80.4
66	83.3	80.6	85.1	79.4	78.5	80.1
65	82.9	80.2	84.9	79	78.1	79.8
64	82.6	79.8	84.7	78.7	77.8	79.5
63	82.3	79.4	84.5	78.4	77.4	79.3
62	82.1	79	84.3	78.1	77.1	79.1
61	81.8	78.7	84.2	77.9	76.8	78.8
60	81.5	78.3	84	77.6	76.5	78.6
59	81.3	78	83.9	77.4	76.2	78.4
58	81.1	77.7	83.7	77.1	75.9	78.2
57	80.9	77.4	83.6	76.9	75.7	78
56	80.7	77.2	83.5	76.7	75.4	77.8
55	80.4	76.9	83.4	76.5	75.2	77.7
54	80.2	76.6	83.3	76.3	75	77.5
53	80.1	76.4	83.2	76.1	74.8	77.4
52	79.9	76.2	83.1	75.9	74.6	77.2
51	79.7	75.9	82.9	75.8	74.4	77.1
50	79.5	75.7	82.9	75.6	74.2	76.9
49	79.4	75.5	82.8	75.5	74.1	76.8
48	79.2	75.3	82.7	75.3	73.9	76.7
47	79.1	75.1	82.6	75.2	73.8	76.6
46	78.9	74.9	82.5	75.1	73.6	76.5
45	78.8	74.8	82.4	75	73.5	76.4
44	78.7	74.6	82.3	74.8	73.4	76.3
43	78.5	74.4	82.3	74.7	73.2	76.2
42	78.4	74.3	82.2	74.6	73.1	76.1
41	78.3	74.1	82.2	74.5	73	76
40	78.2	74	82.1	74.5	72.9	75.9
39	78.1	73.9	82	74.4	72.8	75.9
38	78	73.7	82	74.3	72.7	75.8
37	77.9	73.6	81.9	74.2	72.7	75.7
36	77.8	73.5	81.9	74.1	72.6	75.7
35	77.7	73.4	81.9	74.1	72.5	75.6
34	77.6	73.3	81.8	74	72.4	75.5
33	77.6	73.2	81.8	73.9	72.3	75.5
32	77.5	73.1	81.7	73.8	72.2	75.4
31	77.4	73	81.7	73.8	72.2	75.4
30	77.4	72.9	81.7	73.7	72.1	75.3
29	77.3	72.8	81.7	73.6	72	75.2
28	77.3	72.7	81.6	73.6	71.9	75.2
27	77.2	72.7	81.6	73.5	71.8	75.1
26	77.2	72.6	81.6	73.4	71.8	75.1
25	77.1	72.6	81.6	73.4	71.7	75
24	77.1	72.5	81.6	73.3	71.6	75
23	77.1	72.5	81.5	73.2	71.5	74.9
22	77	72.4	81.5	73.1	71.4	74.9
21	77	72.4	81.5	73.1	71.3	74.8
20	77	72.3	81.5	73	71.2	74.8
19	76.9	72.3	81.5	72.9	71.1	74.7
18	76.9	72.2	81.4	72.9	71.1	74.7
17	76.9	72.2	81.4	72.8	71	74.7
16	76.9	72.2	81.4	72.8	70.9	74.6
15	76.8	72.2	81.4	72.7	70.9	74.6
14	76.8	72.2	81.4	72.7	70.8	74.6
13	76.8	72.1	81.4	72.7	70.8	74.6
12	76.8	72.1	81.4	72.6	70.8	74.5
11	76.8	72.1	81.4	72.6	70.7	74.5
10	76.8	72.1	81.4	72.6	70.7	74.5
9	76.8	72.1	81.4	72.6	70.7	74.5
8	76.8	72.1	81.3	72.5	70.6	74.4
7	76.8	72.1	81.3	72.5	70.6	74.4
6	76.8	72.1	81.3	72.4	70.5	74.4
5	76.8	72.1	81.3	72.4	70.5	74.3
4	76.7	72.1	81.3	72.3	70.4	74.2
3	76.7	72.1	81.3	72.2	70.3	74.2
2	76.7	72	81.3	72.1	70.1	74
1	76.7	72	81.3	71.9	70	73.8
0	76.5	71.8	81.1	69.7	67.6	71.9

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 73.7 in Yemen, rising to 82.9 and 79 at 65, and to 88.4 and 85.9 at 80 — higher than the 76.5 and 69.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Yemen

Male

Female

1x

Age	Survival probability
	Lithuania			Yemen
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.09%	0.04%	0.13%
99	1.32%	0.62%	1.92%	0.15%	0.08%	0.22%
98	2.01%	0.95%	2.92%	0.26%	0.14%	0.38%
97	2.95%	1.42%	4.28%	0.43%	0.23%	0.62%
96	4.19%	2.04%	6.06%	0.69%	0.38%	0.98%
95	5.75%	2.85%	8.27%	1.06%	0.62%	1.49%
94	7.68%	3.93%	11%	1.58%	0.96%	2.18%
93	10%	5.28%	14.2%	2.28%	1.44%	3.08%
92	12.6%	6.79%	17.7%	3.18%	2.11%	4.22%
91	15.4%	8.41%	21.6%	4.33%	2.98%	5.64%
90	18.6%	10.4%	25.8%	5.73%	4.09%	7.34%
89	21.9%	12.6%	30.1%	7.42%	5.44%	9.35%
88	25.3%	14.8%	34.6%	9.38%	7.05%	11.7%
87	28.8%	17.3%	39.2%	11.6%	8.9%	14.3%
86	32.4%	19.9%	43.6%	14.2%	11%	17.2%
85	35.8%	22.5%	47.9%	16.9%	13.3%	20.4%
84	39.2%	25.1%	51.9%	19.9%	15.9%	23.9%
83	42.4%	27.8%	55.7%	23.1%	18.7%	27.5%
82	45.4%	30.5%	59.1%	26.4%	21.6%	31.2%
81	48.3%	33.2%	62.3%	29.8%	24.7%	34.9%
80	51.1%	35.8%	65.3%	33.2%	27.8%	38.6%
79	53.6%	38.4%	67.9%	36.7%	31%	42.3%
78	56%	40.9%	70.3%	40%	34.2%	45.8%
77	58.3%	43.5%	72.5%	43.4%	37.5%	49.3%
76	60.6%	46.1%	74.5%	46.6%	40.6%	52.6%
75	62.7%	48.6%	76.3%	49.7%	43.8%	55.7%
74	64.7%	51.1%	78.1%	52.7%	46.8%	58.7%
73	66.7%	53.5%	79.6%	55.6%	49.8%	61.6%
72	68.6%	55.9%	81.1%	58.4%	52.6%	64.2%
71	70.4%	58.2%	82.4%	61%	55.4%	66.7%
70	72.1%	60.5%	83.6%	63.4%	58%	69%
69	73.7%	62.7%	84.8%	65.7%	60.5%	71.1%
68	75.3%	64.9%	85.9%	67.9%	62.8%	73.1%
67	76.8%	67%	86.9%	69.9%	65.1%	74.9%
66	78.3%	69.1%	87.9%	71.8%	67.2%	76.5%
65	79.8%	71.1%	88.8%	73.5%	69.2%	78%
64	81.1%	73%	89.6%	75.1%	71%	79.4%
63	82.3%	74.8%	90.3%	76.6%	72.7%	80.7%
62	83.5%	76.4%	91%	78%	74.4%	81.9%
61	84.6%	78%	91.7%	79.3%	75.9%	82.9%
60	85.7%	79.5%	92.3%	80.5%	77.3%	83.9%
59	86.6%	80.8%	92.8%	81.6%	78.6%	84.8%
58	87.5%	82.1%	93.3%	82.7%	79.9%	85.7%
57	88.3%	83.2%	93.7%	83.6%	81%	86.4%
56	89%	84.4%	94.1%	84.5%	82%	87.2%
55	89.8%	85.4%	94.5%	85.3%	83%	87.8%
54	90.5%	86.4%	94.9%	86.1%	83.9%	88.4%
53	91.1%	87.4%	95.3%	86.8%	84.7%	89%
52	91.7%	88.2%	95.6%	87.4%	85.4%	89.5%
51	92.3%	89%	95.9%	88%	86.1%	90%
50	92.8%	89.7%	96.2%	88.6%	86.7%	90.5%
49	93.3%	90.4%	96.5%	89.1%	87.3%	90.9%
48	93.7%	91.1%	96.7%	89.5%	87.9%	91.3%
47	94.2%	91.8%	97%	89.9%	88.3%	91.6%
46	94.6%	92.3%	97.2%	90.3%	88.8%	92%
45	95%	92.9%	97.4%	90.7%	89.2%	92.3%
44	95.4%	93.4%	97.6%	91%	89.6%	92.5%
43	95.7%	93.9%	97.8%	91.3%	89.9%	92.8%
42	96%	94.3%	97.9%	91.6%	90.3%	93%
41	96.3%	94.8%	98%	91.9%	90.6%	93.3%
40	96.6%	95.2%	98.2%	92.1%	90.8%	93.5%
39	96.9%	95.6%	98.3%	92.3%	91.1%	93.7%
38	97.1%	96%	98.4%	92.6%	91.3%	93.8%
37	97.4%	96.3%	98.5%	92.8%	91.6%	94%
36	97.6%	96.6%	98.6%	92.9%	91.8%	94.2%
35	97.8%	96.9%	98.7%	93.1%	92%	94.3%
34	97.9%	97.1%	98.8%	93.3%	92.2%	94.5%
33	98.1%	97.4%	98.9%	93.5%	92.4%	94.6%
32	98.3%	97.6%	99%	93.6%	92.6%	94.7%
31	98.4%	97.8%	99%	93.8%	92.8%	94.9%
30	98.5%	98%	99.1%	93.9%	92.9%	95%
29	98.6%	98.2%	99.1%	94.1%	93.1%	95.1%
28	98.7%	98.3%	99.2%	94.2%	93.3%	95.2%
27	98.8%	98.5%	99.2%	94.4%	93.5%	95.3%
26	98.9%	98.6%	99.2%	94.5%	93.7%	95.4%
25	99%	98.7%	99.3%	94.6%	93.8%	95.5%
24	99.1%	98.8%	99.3%	94.8%	94%	95.6%
23	99.1%	98.9%	99.3%	94.9%	94.2%	95.7%
22	99.2%	99%	99.4%	95.1%	94.4%	95.8%
21	99.2%	99.1%	99.4%	95.2%	94.5%	95.9%
20	99.3%	99.2%	99.4%	95.3%	94.7%	96%
19	99.4%	99.3%	99.5%	95.4%	94.9%	96%
18	99.4%	99.4%	99.5%	95.5%	95%	96.1%
17	99.5%	99.4%	99.5%	95.6%	95.1%	96.2%
16	99.5%	99.4%	99.5%	95.7%	95.2%	96.2%
15	99.5%	99.5%	99.5%	95.8%	95.3%	96.3%
14	99.5%	99.5%	99.6%	95.8%	95.4%	96.3%
13	99.6%	99.5%	99.6%	95.9%	95.4%	96.4%
12	99.6%	99.6%	99.6%	95.9%	95.5%	96.4%
11	99.6%	99.6%	99.6%	96%	95.5%	96.4%
10	99.6%	99.6%	99.6%	96%	95.6%	96.5%
9	99.6%	99.6%	99.6%	96.1%	95.6%	96.5%
8	99.6%	99.6%	99.6%	96.1%	95.7%	96.5%
7	99.6%	99.6%	99.6%	96.2%	95.8%	96.6%
6	99.6%	99.6%	99.7%	96.2%	95.9%	96.6%
5	99.6%	99.6%	99.7%	96.3%	95.9%	96.7%
4	99.7%	99.6%	99.7%	96.4%	96.1%	96.8%
3	99.7%	99.7%	99.7%	96.6%	96.2%	96.9%
2	99.7%	99.7%	99.7%	96.7%	96.4%	97.1%
1	99.7%	99.7%	99.7%	97%	96.7%	97.4%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 80.5% in Yemen are expected to live past 60, 72.1% and 63.4% past 70, 51.1% and 33.2% past 80, and only 18.6% and 5.73% 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

Yemen

Male

Female

1x

Age	Probability of dying
	Lithuania			Yemen
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	45.7%	47.6%	45.4%
99	36.9%	37.2%	36.8%	43.5%	45.7%	43%
98	34.4%	35%	34.3%	41.6%	43.6%	41%
97	32%	32.8%	31.8%	39.5%	41.5%	38.9%
96	29.6%	30.6%	29.3%	37.3%	39.6%	36.6%
95	27.1%	28.5%	26.8%	35.1%	37.6%	34.2%
94	25.2%	27.3%	24.6%	32.8%	35.7%	31.7%
93	23.2%	25.7%	22.5%	30.6%	33.7%	29.3%
92	20.7%	22.1%	20.2%	28.5%	31.5%	27.1%
91	18.3%	19.3%	18%	26.5%	29.3%	25%
90	16.8%	19.1%	16.1%	24.5%	27.1%	23.2%
89	15.2%	17.3%	14.5%	22.7%	24.9%	21.5%
88	13.5%	15.1%	13%	21%	22.8%	19.9%
87	12.3%	14.4%	11.6%	19.3%	20.8%	18.4%
86	11%	13.1%	10.2%	17.8%	19.1%	17%
85	9.6%	11.4%	8.93%	16.4%	17.5%	15.7%
84	8.47%	10.4%	7.75%	15%	16.1%	14.3%
83	7.54%	9.67%	6.7%	13.7%	14.8%	13.1%
82	6.69%	8.81%	5.82%	12.5%	13.6%	11.9%
81	6.01%	8.11%	5.12%	11.4%	12.4%	10.7%
80	5.41%	7.44%	4.51%	10.3%	11.3%	9.64%
79	4.77%	6.65%	3.91%	9.36%	10.3%	8.66%
78	4.3%	6.23%	3.39%	8.46%	9.42%	7.78%
77	3.98%	6%	2.98%	7.66%	8.58%	6.99%
76	3.69%	5.61%	2.7%	6.93%	7.82%	6.28%
75	3.4%	5.16%	2.45%	6.29%	7.13%	5.66%
74	3.14%	4.82%	2.19%	5.71%	6.51%	5.09%
73	2.93%	4.53%	1.99%	5.18%	5.95%	4.59%
72	2.74%	4.26%	1.82%	4.71%	5.43%	4.13%
71	2.54%	4.02%	1.6%	4.27%	4.96%	3.71%
70	2.35%	3.77%	1.44%	3.87%	4.52%	3.33%
69	2.23%	3.51%	1.37%	3.51%	4.12%	2.99%
68	2.11%	3.33%	1.26%	3.18%	3.76%	2.68%
67	2.01%	3.19%	1.16%	2.88%	3.43%	2.4%
66	1.92%	3.03%	1.11%	2.61%	3.13%	2.16%
65	1.79%	2.81%	1.01%	2.37%	2.85%	1.94%
64	1.64%	2.58%	0.9%	2.15%	2.61%	1.75%
63	1.52%	2.36%	0.83%	1.96%	2.39%	1.58%
62	1.41%	2.17%	0.78%	1.79%	2.19%	1.43%
61	1.31%	2.01%	0.71%	1.64%	2%	1.29%
60	1.2%	1.86%	0.63%	1.5%	1.84%	1.18%
59	1.09%	1.69%	0.58%	1.37%	1.68%	1.07%
58	0.98%	1.48%	0.54%	1.25%	1.54%	0.98%
57	0.91%	1.39%	0.47%	1.14%	1.4%	0.9%
56	0.86%	1.34%	0.42%	1.05%	1.27%	0.82%
55	0.83%	1.26%	0.42%	0.95%	1.16%	0.75%
54	0.78%	1.16%	0.42%	0.87%	1.05%	0.69%
53	0.7%	1.06%	0.36%	0.8%	0.96%	0.64%
52	0.65%	0.97%	0.34%	0.73%	0.87%	0.59%
51	0.61%	0.88%	0.34%	0.67%	0.79%	0.54%
50	0.56%	0.83%	0.29%	0.61%	0.73%	0.5%
49	0.53%	0.78%	0.27%	0.56%	0.66%	0.46%
48	0.51%	0.74%	0.27%	0.52%	0.61%	0.42%
47	0.48%	0.69%	0.25%	0.47%	0.56%	0.39%
46	0.44%	0.64%	0.23%	0.43%	0.51%	0.36%
45	0.41%	0.6%	0.2%	0.4%	0.46%	0.33%
44	0.38%	0.54%	0.2%	0.36%	0.42%	0.3%
43	0.35%	0.5%	0.19%	0.33%	0.39%	0.28%
42	0.33%	0.49%	0.16%	0.31%	0.36%	0.26%
41	0.31%	0.47%	0.13%	0.28%	0.33%	0.24%
40	0.28%	0.42%	0.13%	0.26%	0.3%	0.22%
39	0.28%	0.41%	0.13%	0.25%	0.28%	0.21%
38	0.27%	0.4%	0.12%	0.23%	0.27%	0.19%
37	0.23%	0.33%	0.11%	0.22%	0.25%	0.18%
36	0.21%	0.3%	0.1%	0.21%	0.24%	0.17%
35	0.2%	0.29%	0.09%	0.2%	0.23%	0.16%
34	0.19%	0.28%	0.09%	0.19%	0.22%	0.15%
33	0.18%	0.26%	0.09%	0.18%	0.21%	0.14%
32	0.15%	0.23%	0.06%	0.17%	0.2%	0.14%
31	0.13%	0.2%	0.06%	0.16%	0.2%	0.13%
30	0.13%	0.19%	0.06%	0.16%	0.19%	0.13%
29	0.13%	0.2%	0.05%	0.16%	0.19%	0.12%
28	0.11%	0.18%	0.04%	0.15%	0.19%	0.12%
27	0.09%	0.14%	0.04%	0.15%	0.19%	0.11%
26	0.08%	0.13%	0.04%	0.15%	0.19%	0.11%
25	0.08%	0.12%	0.03%	0.15%	0.19%	0.1%
24	0.07%	0.11%	0.03%	0.15%	0.19%	0.1%
23	0.07%	0.1%	0.03%	0.14%	0.19%	0.1%
22	0.06%	0.09%	0.03%	0.14%	0.19%	0.09%
21	0.06%	0.08%	0.03%	0.14%	0.18%	0.09%
20	0.06%	0.08%	0.03%	0.13%	0.17%	0.08%
19	0.06%	0.09%	0.03%	0.12%	0.16%	0.08%
18	0.05%	0.07%	0.03%	0.11%	0.14%	0.07%
17	0.03%	0.04%	0.02%	0.09%	0.12%	0.06%
16	0.03%	0.05%	0.02%	0.08%	0.1%	0.06%
15	0.03%	0.04%	0.02%	0.07%	0.09%	0.05%
14	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
13	0.02%	0.02%	0.02%	0.05%	0.06%	0.04%
12	0.01%	0.02%	0.01%	0.05%	0.06%	0.04%
11	0.01%	0.02%	0.008%	0.05%	0.06%	0.04%
10	0.01%	0.01%	0.01%	0.05%	0.06%	0.04%
9	0.01%	0.009%	0.01%	0.05%	0.06%	0.04%
8	0.01%	0.01%	0.01%	0.05%	0.06%	0.04%
7	0.01%	0.01%	0.01%	0.06%	0.07%	0.04%
6	0.01%	0.009%	0.01%	0.07%	0.08%	0.05%
5	0.009%	0.009%	0.01%	0.09%	0.1%	0.07%
4	0.01%	0.01%	0.01%	0.11%	0.13%	0.09%
3	0.01%	0.01%	0.01%	0.15%	0.16%	0.13%
2	0.01%	0.01%	0.01%	0.2%	0.2%	0.19%
1	0.03%	0.02%	0.03%	0.27%	0.26%	0.28%
0	0.29%	0.3%	0.28%	2.99%	3.33%	2.62%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 2.99% in Yemen, 0.13% vs 0.16% at age 30, 1.2% vs 1.5% at 60, and 5.41% vs 10.3% at 80.

Death rate by age in Lithuania vs Yemen

Chart Table

Lithuania

Male

Female

Yemen

Male

Female

1x

Age	Death rate
	Lithuania			Yemen
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	0	0	0
99	485	230.3	706	66.3	34.9	96.2
98	690	333	1,000	108.4	59	155.5
97	945	465	1,362	170.3	96.3	241.1
96	1,240	624	1,777	256.8	151.8	358
95	1,559	812	2,213	372	231.6	508
94	1,933	1,074	2,695	519	341	690
93	2,322	1,356	3,186	697	485	904
92	2,605	1,503	3,588	907	664	1,145
91	2,822	1,627	3,887	1,145	874	1,412
90	3,119	1,989	4,148	1,406	1,108	1,701
89	3,315	2,179	4,361	1,683	1,354	2,008
88	3,420	2,242	4,500	1,966	1,605	2,324
87	3,556	2,501	4,539	2,248	1,855	2,638
86	3,561	2,606	4,462	2,519	2,100	2,935
85	3,442	2,562	4,282	2,770	2,337	3,202
84	3,319	2,605	4,028	2,992	2,559	3,424
83	3,194	2,688	3,733	3,174	2,760	3,590
82	3,036	2,683	3,441	3,311	2,931	3,694
81	2,903	2,691	3,191	3,398	3,064	3,737
80	2,761	2,665	2,945	3,436	3,156	3,723
79	2,559	2,550	2,657	3,430	3,209	3,662
78	2,410	2,551	2,381	3,389	3,226	3,565
77	2,321	2,611	2,161	3,321	3,213	3,443
76	2,234	2,586	2,009	3,231	3,177	3,304
75	2,134	2,512	1,873	3,126	3,121	3,152
74	2,030	2,466	1,712	3,010	3,048	2,992
73	1,953	2,423	1,589	2,883	2,960	2,825
72	1,881	2,380	1,473	2,746	2,859	2,651
71	1,785	2,341	1,322	2,603	2,745	2,475
70	1,696	2,284	1,202	2,454	2,623	2,299
69	1,642	2,203	1,159	2,304	2,494	2,125
68	1,590	2,161	1,081	2,156	2,362	1,958
67	1,542	2,140	1,004	2,011	2,230	1,799
66	1,507	2,091	975	1,873	2,101	1,651
65	1,429	2,002	900	1,742	1,974	1,514
64	1,330	1,887	809	1,619	1,852	1,387
63	1,248	1,765	754	1,504	1,736	1,272
62	1,177	1,655	711	1,397	1,625	1,167
61	1,106	1,569	648	1,298	1,520	1,073
60	1,028	1,481	582	1,205	1,419	987
59	942	1,363	535	1,117	1,321	909
58	857	1,218	506	1,035	1,226	838
57	800	1,155	445	957	1,134	774
56	766	1,132	394	883	1,046	715
55	742	1,077	398	814	961	661
54	702	1,001	394	750	882	612
53	639	928	338	691	809	567
52	596	853	327	638	744	526
51	560	787	324	589	684	488
50	518	741	280.7	544	630	453
49	493	708	260	502	580	419
48	475	674	256.5	463	534	388
47	448	630	244.5	426	491	358
46	417	589	222.4	392	451	330
45	391	555	199.3	360	414	303
44	361	507	192	331	379	279.4
43	336	467	183.2	305	349	257.9
42	320	461	155.8	281.3	321	239
41	301	446	132.1	260.8	297.4	222.2
40	275.1	398	130.8	242.9	276.7	207.4
39	271.3	396	125	227.3	259	194.2
38	262.3	387	115.9	213.7	243.9	182.2
37	224.5	322	110.3	201.9	231	171.4
36	201.3	287.8	100.8	191.4	219.9	161.5
35	194	281.1	93.1	182.1	210.5	152.5
34	186.8	269.6	92.7	173.9	202.3	144.2
33	172.2	250.4	84.7	166.6	195.1	136.8
32	148.5	225.2	62.9	160.2	188.9	130.2
31	130.3	194.6	59.1	154.7	183.7	124.4
30	123.6	182.3	59.6	150.1	179.8	119.2
29	123.7	194.9	46.9	146.5	177.1	114.6
28	109.5	173.6	40.2	143.8	175.6	110.5
27	90.6	138.4	39.5	141.7	175.1	106.6
26	82.1	123.9	38.2	140.2	175.7	102.9
25	77	118.5	33.7	139.3	177.1	99.4
24	67.9	107	27.3	138.4	178.7	95.8
23	64.5	99.2	28.2	137.1	179.6	92.1
22	62.3	92.2	31.2	134.9	179	88.2
21	56.7	82.6	30	130.4	174.4	83.9
20	56.2	83.3	28.3	122.9	164.4	79.2
19	62.7	94.3	30	113.1	150.1	74
18	50.7	70.8	29.8	101.7	133.2	68.3
17	34.2	43.8	24.1	89.9	116	62.3
16	30.9	45.9	15.2	78.6	99.6	56.3
15	29.1	40.8	16.8	67.9	84.3	50.6
14	25	28.9	20.8	58.8	71.5	45.4
13	19.1	21.8	16.4	51.7	61.9	41
12	14.3	18.6	9.7	47	56	37.5
11	12.2	15.7	8.41	44.5	53.3	35.3
10	10.5	10.8	10.2	44	53.1	34.4
9	10.3	9.11	11.5	45.6	55.4	35.2
8	12	13.2	10.7	49.5	60.4	37.9
7	11.3	12	10.7	56.4	68.6	43.4
6	9.63	8.66	10.7	67.1	80.6	52.7
5	9.42	9.23	9.62	83.2	97.6	67.9
4	11.3	12.2	10.4	106.8	120.8	91.9
3	13.8	14.4	13.1	141	152.1	129.3
2	13.2	14.4	11.8	190.5	193.9	186.8
1	25.4	24.3	26.4	262.8	251	275.3
0	291.9	305	278.5	2,988	3,334	2,622

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 80 in Yemen. The median age of death is 80.4 in Lithuania and 74.9 in Yemen, 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 Yemen more than their death rates.

Life expectancy in other countries

+ -

1x