Life Expectancy in Hungary vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Hungary

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			Lithuania
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	102	101.8	102
99	101.2	101.1	101.3	101.1	100.9	101.1
98	100.3	100.2	100.4	100.2	100.1	100.2
97	99.5	99.4	99.5	99.3	99.2	99.3
96	98.6	98.5	98.7	98.5	98.4	98.5
95	97.8	97.7	97.9	97.7	97.6	97.7
94	97	96.9	97.1	96.9	96.7	96.9
93	96.3	96.1	96.3	96.1	95.9	96.1
92	95.5	95.3	95.6	95.4	95.2	95.4
91	94.8	94.5	94.8	94.6	94.4	94.7
90	94	93.8	94.1	94	93.7	94
89	93.4	93.1	93.5	93.3	93	93.4
88	92.7	92.4	92.8	92.6	92.3	92.7
87	92.1	91.7	92.2	92	91.6	92.1
86	91.4	91	91.6	91.4	90.9	91.6
85	90.8	90.4	91	90.8	90.3	91
84	90.2	89.7	90.5	90.3	89.7	90.5
83	89.7	89.1	89.9	89.8	89.1	90
82	89.1	88.5	89.4	89.3	88.5	89.6
81	88.6	87.9	89	88.8	88	89.2
80	88.1	87.4	88.5	88.4	87.4	88.8
79	87.7	86.8	88.1	88	86.9	88.4
78	87.2	86.3	87.7	87.5	86.4	88.1
77	86.8	85.8	87.4	87.1	85.8	87.8
76	86.4	85.3	87	86.8	85.3	87.5
75	86	84.8	86.7	86.4	84.8	87.2
74	85.6	84.4	86.4	86	84.3	86.9
73	85.3	83.9	86.1	85.6	83.8	86.6
72	84.9	83.5	85.9	85.3	83.3	86.4
71	84.6	83	85.6	84.9	82.9	86.1
70	84.2	82.6	85.4	84.6	82.4	85.9
69	83.9	82.2	85.1	84.2	81.9	85.7
68	83.6	81.8	84.9	83.9	81.5	85.5
67	83.2	81.4	84.6	83.6	81	85.3
66	82.9	81	84.4	83.3	80.6	85.1
65	82.6	80.5	84.2	82.9	80.2	84.9
64	82.3	80.1	84	82.6	79.8	84.7
63	82	79.8	83.8	82.3	79.4	84.5
62	81.7	79.4	83.6	82.1	79	84.3
61	81.4	79.1	83.4	81.8	78.7	84.2
60	81.2	78.7	83.2	81.5	78.3	84
59	80.9	78.4	83	81.3	78	83.9
58	80.7	78.1	82.8	81.1	77.7	83.7
57	80.4	77.8	82.7	80.9	77.4	83.6
56	80.2	77.5	82.5	80.7	77.2	83.5
55	80	77.3	82.4	80.4	76.9	83.4
54	79.8	77.1	82.3	80.2	76.6	83.3
53	79.6	76.8	82.2	80.1	76.4	83.2
52	79.5	76.6	82	79.9	76.2	83.1
51	79.3	76.5	82	79.7	75.9	82.9
50	79.2	76.3	81.9	79.5	75.7	82.9
49	79.1	76.1	81.8	79.4	75.5	82.8
48	79	76	81.7	79.2	75.3	82.7
47	78.9	75.9	81.6	79.1	75.1	82.6
46	78.8	75.8	81.6	78.9	74.9	82.5
45	78.7	75.7	81.5	78.8	74.8	82.4
44	78.6	75.6	81.5	78.7	74.6	82.3
43	78.6	75.5	81.4	78.5	74.4	82.3
42	78.5	75.5	81.4	78.4	74.3	82.2
41	78.5	75.4	81.3	78.3	74.1	82.2
40	78.4	75.4	81.3	78.2	74	82.1
39	78.4	75.3	81.3	78.1	73.9	82
38	78.3	75.3	81.3	78	73.7	82
37	78.3	75.2	81.2	77.9	73.6	81.9
36	78.3	75.2	81.2	77.8	73.5	81.9
35	78.2	75.1	81.2	77.7	73.4	81.9
34	78.2	75.1	81.1	77.6	73.3	81.8
33	78.2	75.1	81.1	77.6	73.2	81.8
32	78.1	75	81.1	77.5	73.1	81.7
31	78.1	75	81.1	77.4	73	81.7
30	78.1	75	81.1	77.4	72.9	81.7
29	78.1	74.9	81.1	77.3	72.8	81.7
28	78	74.9	81	77.3	72.7	81.6
27	78	74.9	81	77.2	72.7	81.6
26	78	74.8	81	77.2	72.6	81.6
25	78	74.8	81	77.1	72.6	81.6
24	78	74.8	81	77.1	72.5	81.6
23	77.9	74.8	81	77.1	72.5	81.5
22	77.9	74.7	81	77	72.4	81.5
21	77.9	74.7	81	77	72.4	81.5
20	77.9	74.7	81	77	72.3	81.5
19	77.9	74.7	80.9	76.9	72.3	81.5
18	77.8	74.6	80.9	76.9	72.2	81.4
17	77.8	74.6	80.9	76.9	72.2	81.4
16	77.8	74.6	80.9	76.9	72.2	81.4
15	77.8	74.6	80.9	76.8	72.2	81.4
14	77.8	74.6	80.9	76.8	72.2	81.4
13	77.8	74.6	80.9	76.8	72.1	81.4
12	77.8	74.6	80.9	76.8	72.1	81.4
11	77.8	74.6	80.9	76.8	72.1	81.4
10	77.8	74.6	80.9	76.8	72.1	81.4
9	77.8	74.5	80.9	76.8	72.1	81.4
8	77.8	74.5	80.9	76.8	72.1	81.3
7	77.8	74.5	80.9	76.8	72.1	81.3
6	77.8	74.5	80.9	76.8	72.1	81.3
5	77.8	74.5	80.9	76.8	72.1	81.3
4	77.7	74.5	80.9	76.7	72.1	81.3
3	77.7	74.5	80.8	76.7	72.1	81.3
2	77.7	74.5	80.8	76.7	72	81.3
1	77.7	74.5	80.8	76.7	72	81.3
0	77.5	74.3	80.6	76.5	71.8	81.1

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 Hungary can expect to live to 78.1 years compared to 77.4 in Lithuania, rising to 82.6 and 82.9 at 65, and to 88.1 and 88.4 at 80 — higher than the 77.5 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Hungary			Lithuania
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	0.83%	0.39%	1.21%
99	1.43%	0.79%	1.99%	1.32%	0.62%	1.92%
98	2.12%	1.18%	2.92%	2.01%	0.95%	2.92%
97	3.03%	1.71%	4.17%	2.95%	1.42%	4.28%
96	4.21%	2.42%	5.76%	4.19%	2.04%	6.06%
95	5.67%	3.31%	7.72%	5.75%	2.85%	8.27%
94	7.46%	4.44%	10.1%	7.68%	3.93%	11%
93	9.59%	5.84%	12.9%	10%	5.28%	14.2%
92	12%	7.51%	16%	12.6%	6.79%	17.7%
91	14.8%	9.39%	19.5%	15.4%	8.41%	21.6%
90	17.7%	11.5%	23.2%	18.6%	10.4%	25.8%
89	20.8%	13.8%	27.2%	21.9%	12.6%	30.1%
88	24.1%	16.3%	31.2%	25.3%	14.8%	34.6%
87	27.5%	18.9%	35.4%	28.8%	17.3%	39.2%
86	31%	21.7%	39.6%	32.4%	19.9%	43.6%
85	34.6%	24.6%	43.7%	35.8%	22.5%	47.9%
84	38.1%	27.6%	47.8%	39.2%	25.1%	51.9%
83	41.6%	30.7%	51.7%	42.4%	27.8%	55.7%
82	44.9%	33.7%	55.4%	45.4%	30.5%	59.1%
81	48.2%	36.8%	58.9%	48.3%	33.2%	62.3%
80	51.3%	39.9%	62.1%	51.1%	35.8%	65.3%
79	54.3%	42.9%	65%	53.6%	38.4%	67.9%
78	57%	45.7%	67.7%	56%	40.9%	70.3%
77	59.6%	48.6%	70.1%	58.3%	43.5%	72.5%
76	62.1%	51.3%	72.4%	60.6%	46.1%	74.5%
75	64.4%	53.9%	74.4%	62.7%	48.6%	76.3%
74	66.5%	56.4%	76.3%	64.7%	51.1%	78.1%
73	68.6%	58.9%	78%	66.7%	53.5%	79.6%
72	70.5%	61.2%	79.6%	68.6%	55.9%	81.1%
71	72.4%	63.5%	81.1%	70.4%	58.2%	82.4%
70	74.2%	65.8%	82.5%	72.1%	60.5%	83.6%
69	75.9%	67.9%	83.8%	73.7%	62.7%	84.8%
68	77.5%	70.1%	85%	75.3%	64.9%	85.9%
67	79.2%	72.1%	86.2%	76.8%	67%	86.9%
66	80.7%	74.1%	87.3%	78.3%	69.1%	87.9%
65	82.2%	76.1%	88.3%	79.8%	71.1%	88.8%
64	83.6%	78.1%	89.3%	81.1%	73%	89.6%
63	85%	79.9%	90.2%	82.3%	74.8%	90.3%
62	86.3%	81.6%	91%	83.5%	76.4%	91%
61	87.5%	83.2%	91.8%	84.6%	78%	91.7%
60	88.6%	84.8%	92.6%	85.7%	79.5%	92.3%
59	89.7%	86.2%	93.3%	86.6%	80.8%	92.8%
58	90.6%	87.5%	93.9%	87.5%	82.1%	93.3%
57	91.6%	88.8%	94.5%	88.3%	83.2%	93.7%
56	92.4%	89.9%	95%	89%	84.4%	94.1%
55	93.2%	91%	95.5%	89.8%	85.4%	94.5%
54	93.9%	91.9%	96%	90.5%	86.4%	94.9%
53	94.5%	92.8%	96.4%	91.1%	87.4%	95.3%
52	95.1%	93.5%	96.7%	91.7%	88.2%	95.6%
51	95.6%	94.2%	97%	92.3%	89%	95.9%
50	96%	94.8%	97.3%	92.8%	89.7%	96.2%
49	96.4%	95.3%	97.6%	93.3%	90.4%	96.5%
48	96.8%	95.8%	97.8%	93.7%	91.1%	96.7%
47	97.1%	96.2%	98%	94.2%	91.8%	97%
46	97.3%	96.5%	98.1%	94.6%	92.3%	97.2%
45	97.5%	96.8%	98.3%	95%	92.9%	97.4%
44	97.7%	97.1%	98.4%	95.4%	93.4%	97.6%
43	97.9%	97.3%	98.5%	95.7%	93.9%	97.8%
42	98%	97.5%	98.6%	96%	94.3%	97.9%
41	98.2%	97.7%	98.7%	96.3%	94.8%	98%
40	98.3%	97.8%	98.8%	96.6%	95.2%	98.2%
39	98.4%	98%	98.9%	96.9%	95.6%	98.3%
38	98.5%	98.1%	99%	97.1%	96%	98.4%
37	98.6%	98.2%	99%	97.4%	96.3%	98.5%
36	98.7%	98.3%	99.1%	97.6%	96.6%	98.6%
35	98.8%	98.4%	99.1%	97.8%	96.9%	98.7%
34	98.8%	98.5%	99.2%	97.9%	97.1%	98.8%
33	98.9%	98.6%	99.2%	98.1%	97.4%	98.9%
32	99%	98.7%	99.3%	98.3%	97.6%	99%
31	99%	98.8%	99.3%	98.4%	97.8%	99%
30	99.1%	98.8%	99.3%	98.5%	98%	99.1%
29	99.1%	98.9%	99.4%	98.6%	98.2%	99.1%
28	99.2%	99%	99.4%	98.7%	98.3%	99.2%
27	99.2%	99%	99.4%	98.8%	98.5%	99.2%
26	99.3%	99.1%	99.4%	98.9%	98.6%	99.2%
25	99.3%	99.1%	99.4%	99%	98.7%	99.3%
24	99.3%	99.2%	99.5%	99.1%	98.8%	99.3%
23	99.4%	99.2%	99.5%	99.1%	98.9%	99.3%
22	99.4%	99.3%	99.5%	99.2%	99%	99.4%
21	99.4%	99.3%	99.5%	99.2%	99.1%	99.4%
20	99.5%	99.4%	99.5%	99.3%	99.2%	99.4%
19	99.5%	99.4%	99.6%	99.4%	99.3%	99.5%
18	99.5%	99.5%	99.6%	99.4%	99.4%	99.5%
17	99.5%	99.5%	99.6%	99.5%	99.4%	99.5%
16	99.6%	99.5%	99.6%	99.5%	99.4%	99.5%
15	99.6%	99.5%	99.6%	99.5%	99.5%	99.5%
14	99.6%	99.6%	99.6%	99.5%	99.5%	99.6%
13	99.6%	99.6%	99.6%	99.6%	99.5%	99.6%
12	99.6%	99.6%	99.6%	99.6%	99.6%	99.6%
11	99.6%	99.6%	99.6%	99.6%	99.6%	99.6%
10	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
9	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
8	99.6%	99.6%	99.7%	99.6%	99.6%	99.6%
7	99.7%	99.6%	99.7%	99.6%	99.6%	99.6%
6	99.7%	99.6%	99.7%	99.6%	99.6%	99.7%
5	99.7%	99.6%	99.7%	99.6%	99.6%	99.7%
4	99.7%	99.7%	99.7%	99.7%	99.6%	99.7%
3	99.7%	99.7%	99.7%	99.7%	99.7%	99.7%
2	99.7%	99.7%	99.7%	99.7%	99.7%	99.7%
1	99.7%	99.7%	99.7%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 85.7% in Lithuania are expected to live past 60, 74.2% and 72.1% past 70, 51.3% and 51.1% past 80, and only 17.7% and 18.6% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Hungary

Male

Female

Lithuania

Male

Female

1x

Age	Probability of dying
	Hungary			Lithuania
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	39.3%	39.3%	39.3%
99	34.6%	35.3%	34.4%	36.9%	37.2%	36.8%
98	32.3%	33.2%	32.1%	34.4%	35%	34.3%
97	30.2%	31.2%	29.9%	32%	32.8%	31.8%
96	28%	29.2%	27.6%	29.6%	30.6%	29.3%
95	25.8%	26.9%	25.4%	27.1%	28.5%	26.8%
94	24%	25.4%	23.5%	25.2%	27.3%	24.6%
93	22.2%	24.1%	21.6%	23.2%	25.7%	22.5%
92	20.3%	22.1%	19.7%	20.7%	22.1%	20.2%
91	18.4%	20%	17.8%	18.3%	19.3%	18%
90	16.7%	18.3%	16.1%	16.8%	19.1%	16.1%
89	15%	16.7%	14.4%	15.2%	17.3%	14.5%
88	13.6%	15.3%	12.9%	13.5%	15.1%	13%
87	12.4%	14%	11.8%	12.3%	14.4%	11.6%
86	11.3%	12.8%	10.6%	11%	13.1%	10.2%
85	10.2%	11.8%	9.49%	9.6%	11.4%	8.93%
84	9.27%	10.9%	8.51%	8.47%	10.4%	7.75%
83	8.38%	9.98%	7.59%	7.54%	9.67%	6.7%
82	7.51%	9.13%	6.67%	6.69%	8.81%	5.82%
81	6.77%	8.41%	5.89%	6.01%	8.11%	5.12%
80	6.09%	7.68%	5.2%	5.41%	7.44%	4.51%
79	5.4%	6.91%	4.53%	4.77%	6.65%	3.91%
78	4.84%	6.33%	3.95%	4.3%	6.23%	3.39%
77	4.38%	5.85%	3.48%	3.98%	6%	2.98%
76	3.94%	5.31%	3.09%	3.69%	5.61%	2.7%
75	3.55%	4.81%	2.75%	3.4%	5.16%	2.45%
74	3.24%	4.45%	2.45%	3.14%	4.82%	2.19%
73	2.99%	4.15%	2.21%	2.93%	4.53%	1.99%
72	2.77%	3.88%	2.01%	2.74%	4.26%	1.82%
71	2.58%	3.63%	1.82%	2.54%	4.02%	1.6%
70	2.4%	3.4%	1.67%	2.35%	3.77%	1.44%
69	2.25%	3.19%	1.56%	2.23%	3.51%	1.37%
68	2.14%	3.02%	1.47%	2.11%	3.33%	1.26%
67	2.02%	2.87%	1.37%	2.01%	3.19%	1.16%
66	1.88%	2.71%	1.23%	1.92%	3.03%	1.11%
65	1.81%	2.63%	1.14%	1.79%	2.81%	1.01%
64	1.75%	2.53%	1.09%	1.64%	2.58%	0.9%
63	1.61%	2.29%	1.02%	1.52%	2.36%	0.83%
62	1.47%	2.05%	0.94%	1.41%	2.17%	0.78%
61	1.38%	1.94%	0.87%	1.31%	2.01%	0.71%
60	1.28%	1.8%	0.8%	1.2%	1.86%	0.63%
59	1.18%	1.65%	0.74%	1.09%	1.69%	0.58%
58	1.1%	1.54%	0.68%	0.98%	1.48%	0.54%
57	1.01%	1.42%	0.62%	0.91%	1.39%	0.47%
56	0.92%	1.28%	0.56%	0.86%	1.34%	0.42%
55	0.83%	1.14%	0.51%	0.83%	1.26%	0.42%
54	0.74%	1.02%	0.47%	0.78%	1.16%	0.42%
53	0.66%	0.91%	0.42%	0.7%	1.06%	0.36%
52	0.59%	0.81%	0.36%	0.65%	0.97%	0.34%
51	0.52%	0.72%	0.32%	0.61%	0.88%	0.34%
50	0.47%	0.64%	0.3%	0.56%	0.83%	0.29%
49	0.41%	0.56%	0.26%	0.53%	0.78%	0.27%
48	0.35%	0.48%	0.22%	0.51%	0.74%	0.27%
47	0.31%	0.41%	0.2%	0.48%	0.69%	0.25%
46	0.27%	0.35%	0.18%	0.44%	0.64%	0.23%
45	0.23%	0.3%	0.15%	0.41%	0.6%	0.2%
44	0.19%	0.26%	0.13%	0.38%	0.54%	0.2%
43	0.17%	0.22%	0.12%	0.35%	0.5%	0.19%
42	0.16%	0.2%	0.11%	0.33%	0.49%	0.16%
41	0.14%	0.18%	0.09%	0.31%	0.47%	0.13%
40	0.12%	0.16%	0.08%	0.28%	0.42%	0.13%
39	0.11%	0.14%	0.08%	0.28%	0.41%	0.13%
38	0.1%	0.13%	0.07%	0.27%	0.4%	0.12%
37	0.09%	0.12%	0.06%	0.23%	0.33%	0.11%
36	0.09%	0.12%	0.06%	0.21%	0.3%	0.1%
35	0.08%	0.11%	0.06%	0.2%	0.29%	0.09%
34	0.07%	0.1%	0.05%	0.19%	0.28%	0.09%
33	0.07%	0.09%	0.04%	0.18%	0.26%	0.09%
32	0.07%	0.09%	0.04%	0.15%	0.23%	0.06%
31	0.06%	0.08%	0.04%	0.13%	0.2%	0.06%
30	0.05%	0.07%	0.03%	0.13%	0.19%	0.06%
29	0.05%	0.07%	0.03%	0.13%	0.2%	0.05%
28	0.05%	0.07%	0.03%	0.11%	0.18%	0.04%
27	0.04%	0.06%	0.02%	0.09%	0.14%	0.04%
26	0.04%	0.06%	0.02%	0.08%	0.13%	0.04%
25	0.04%	0.05%	0.02%	0.08%	0.12%	0.03%
24	0.04%	0.05%	0.02%	0.07%	0.11%	0.03%
23	0.03%	0.05%	0.02%	0.07%	0.1%	0.03%
22	0.03%	0.04%	0.02%	0.06%	0.09%	0.03%
21	0.03%	0.04%	0.02%	0.06%	0.08%	0.03%
20	0.03%	0.05%	0.02%	0.06%	0.08%	0.03%
19	0.03%	0.05%	0.02%	0.06%	0.09%	0.03%
18	0.03%	0.04%	0.02%	0.05%	0.07%	0.03%
17	0.02%	0.03%	0.01%	0.03%	0.04%	0.02%
16	0.02%	0.02%	0.01%	0.03%	0.05%	0.02%
15	0.01%	0.02%	0.01%	0.03%	0.04%	0.02%
14	0.01%	0.02%	0.01%	0.03%	0.03%	0.02%
13	0.01%	0.01%	0.008%	0.02%	0.02%	0.02%
12	0.009%	0.01%	0.006%	0.01%	0.02%	0.01%
11	0.007%	0.008%	0.005%	0.01%	0.02%	0.008%
10	0.008%	0.009%	0.008%	0.01%	0.01%	0.01%
9	0.01%	0.01%	0.009%	0.01%	0.009%	0.01%
8	0.008%	0.01%	0.006%	0.01%	0.01%	0.01%
7	0.007%	0.007%	0.007%	0.01%	0.01%	0.01%
6	0.007%	0.006%	0.008%	0.01%	0.009%	0.01%
5	0.008%	0.009%	0.007%	0.009%	0.009%	0.01%
4	0.01%	0.01%	0.008%	0.01%	0.01%	0.01%
3	0.01%	0.01%	0.01%	0.01%	0.01%	0.01%
2	0.02%	0.02%	0.01%	0.01%	0.01%	0.01%
1	0.02%	0.02%	0.03%	0.03%	0.02%	0.03%
0	0.27%	0.29%	0.25%	0.29%	0.3%	0.28%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 0.29% in Lithuania, 0.05% vs 0.13% at age 30, 1.28% vs 1.2% at 60, and 6.09% vs 5.41% at 80.

Death rate by age in Hungary vs Lithuania

Chart Table

Hungary

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Hungary			Lithuania
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	174.6	56.5	274.1
99	495	277.8	683	485	230.3	706
98	684	391	938	690	333	1,000
97	915	535	1,245	945	465	1,362
96	1,180	706	1,592	1,240	624	1,777
95	1,464	892	1,963	1,559	812	2,213
94	1,787	1,128	2,368	1,933	1,074	2,695
93	2,133	1,406	2,782	2,322	1,356	3,186
92	2,445	1,662	3,153	2,605	1,503	3,588
91	2,712	1,880	3,470	2,822	1,627	3,887
90	2,952	2,096	3,745	3,119	1,989	4,148
89	3,133	2,304	3,918	3,315	2,179	4,361
88	3,276	2,490	4,033	3,420	2,242	4,500
87	3,416	2,642	4,164	3,556	2,501	4,539
86	3,500	2,779	4,202	3,561	2,606	4,462
85	3,529	2,901	4,148	3,442	2,562	4,282
84	3,532	2,998	4,063	3,319	2,605	4,028
83	3,485	3,058	3,921	3,194	2,688	3,733
82	3,376	3,081	3,693	3,036	2,683	3,441
81	3,263	3,096	3,467	2,903	2,691	3,191
80	3,126	3,064	3,230	2,761	2,665	2,945
79	2,932	2,961	2,946	2,559	2,550	2,657
78	2,759	2,895	2,678	2,410	2,551	2,381
77	2,610	2,840	2,442	2,321	2,611	2,161
76	2,449	2,724	2,235	2,234	2,586	2,009
75	2,284	2,592	2,044	2,134	2,512	1,873
74	2,153	2,511	1,867	2,030	2,466	1,712
73	2,051	2,442	1,723	1,953	2,423	1,589
72	1,957	2,374	1,599	1,881	2,380	1,473
71	1,865	2,307	1,479	1,785	2,341	1,322
70	1,778	2,237	1,375	1,696	2,284	1,202
69	1,711	2,168	1,304	1,642	2,203	1,159
68	1,663	2,118	1,253	1,590	2,161	1,081
67	1,602	2,067	1,180	1,542	2,140	1,004
66	1,520	2,006	1,070	1,507	2,091	975
65	1,490	2,000	1,009	1,429	2,002	900
64	1,462	1,972	974	1,330	1,887	809
63	1,369	1,830	921	1,248	1,765	754
62	1,264	1,677	857	1,177	1,655	711
61	1,206	1,614	799	1,106	1,569	648
60	1,134	1,524	742	1,028	1,481	582
59	1,056	1,420	688	942	1,363	535
58	995	1,348	637	857	1,218	506
57	925	1,258	584	800	1,155	445
56	847	1,151	532	766	1,132	394
55	769	1,041	488	742	1,077	398
54	697	938	447	702	1,001	394
53	628	845	402	639	928	338
52	560	760	352	596	853	327
51	500	680	313	560	787	324
50	450	603	288.7	518	741	280.7
49	394	532	251	493	708	260
48	341	464	212.8	475	674	256.5
47	297.3	398	192.6	448	630	244.5
46	258.4	339	175.1	417	589	222.4
45	219.6	290.2	146.8	391	555	199.3
44	189.8	249.5	127.5	361	507	192
43	168.8	218.7	116.5	336	467	183.2
42	153.4	198.8	106	320	461	155.8
41	136.8	179	92.1	301	446	132.1
40	116.2	153	76.9	275.1	398	130.8
39	107	136.8	75	271.3	396	125
38	101.8	128.2	73.1	262.3	387	115.9
37	91.6	120.6	60.1	224.5	322	110.3
36	86.7	114	57.2	201.3	287.8	100.8
35	82.6	106.1	57.3	194	281.1	93.1
34	72.8	95	48.8	186.8	269.6	92.7
33	65.3	87.5	41.3	172.2	250.4	84.7
32	64.7	85.9	42	148.5	225.2	62.9
31	56.5	76.5	35	130.3	194.6	59.1
30	48.8	68.4	27.8	123.6	182.3	59.6
29	50.4	70.4	28.8	123.7	194.9	46.9
28	47.4	67.4	25.9	109.5	173.6	40.2
27	41.7	60.7	21.6	90.6	138.4	39.5
26	39.3	56	21.3	82.1	123.9	38.2
25	38.3	53.9	21.5	77	118.5	33.7
24	36.4	52.5	19.2	67.9	107	27.3
23	34.2	48.2	19.4	64.5	99.2	28.2
22	32.9	44.1	21.1	62.3	92.2	31.2
21	33	43.7	21.5	56.7	82.6	30
20	33.7	46.4	20.3	56.2	83.3	28.3
19	33.6	48.1	18.3	62.7	94.3	30
18	29.2	40.9	17	50.7	70.8	29.8
17	22.5	29.9	14.7	34.2	43.8	24.1
16	16.7	22.3	10.9	30.9	45.9	15.2
15	13.8	17.7	9.68	29.1	40.8	16.8
14	12.4	15.1	9.53	25	28.9	20.8
13	10.8	13.6	7.82	19.1	21.8	16.4
12	8.56	11.3	5.71	14.3	18.6	9.7
11	6.7	8.01	5.31	12.2	15.7	8.41
10	8.44	9.09	7.74	10.5	10.8	10.2
9	10.1	11.3	8.86	10.3	9.11	11.5
8	8.36	10.3	6.34	12	13.2	10.7
7	7.08	7.1	7.06	11.3	12	10.7
6	7.12	5.85	8.46	9.63	8.66	10.7
5	8.09	9.06	7.07	9.42	9.23	9.62
4	9.76	11.8	7.54	11.3	12.2	10.4
3	12.1	12.3	11.9	13.8	14.4	13.1
2	16.1	20.1	12	13.2	14.4	11.8
1	24.7	23.2	26.3	25.4	24.3	26.4
0	271.5	290.3	251.6	291.9	305	278.5

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 Hungary, the most common age of death is 84, compared to 86 in Lithuania. The median age of death is 80.4 in Hungary and 80.4 in Lithuania, 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 Hungary and Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x