Life Expectancy in Hungary vs South Korea (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Hungary vs South Korea: 77.9 years vs 84.9 at 30, 82.5 vs 86.8 at 65, 88.1 vs 90.6 at 80 — significantly higher than the 77.3 vs 84.5 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Hungary and South Korea.

Table

Current age, years	Total life expectancy, years
	Hungary			South Korea
	Average	Male	Female	Average	Male	Female
0	77.3	74.1	80.5	84.5	81.4	87.4
1	77.5	74.3	80.7	84.7	81.6	87.6
2	77.6	74.3	80.7	84.7	81.6	87.6
3	77.6	74.3	80.7	84.7	81.6	87.6
4	77.6	74.3	80.7	84.7	81.6	87.6
5	77.6	74.3	80.7	84.7	81.7	87.6
6	77.6	74.3	80.7	84.8	81.7	87.6
7	77.6	74.4	80.7	84.8	81.7	87.6
8	77.6	74.4	80.7	84.8	81.7	87.6
9	77.6	74.4	80.7	84.8	81.7	87.6
10	77.6	74.4	80.7	84.8	81.7	87.6
11	77.6	74.4	80.8	84.8	81.7	87.6
12	77.6	74.4	80.8	84.8	81.7	87.6
13	77.6	74.4	80.8	84.8	81.7	87.6
14	77.7	74.4	80.8	84.8	81.7	87.6
15	77.7	74.4	80.8	84.8	81.7	87.6
16	77.7	74.4	80.8	84.8	81.7	87.7
17	77.7	74.4	80.8	84.8	81.7	87.7
18	77.7	74.4	80.8	84.8	81.7	87.7
19	77.7	74.5	80.8	84.8	81.7	87.7
20	77.7	74.5	80.8	84.8	81.7	87.7
21	77.7	74.5	80.8	84.8	81.7	87.7
22	77.8	74.5	80.8	84.8	81.8	87.7
23	77.8	74.6	80.9	84.8	81.8	87.7
24	77.8	74.6	80.9	84.9	81.8	87.7
25	77.8	74.6	80.9	84.9	81.8	87.7
26	77.8	74.7	80.9	84.9	81.8	87.7
27	77.9	74.7	80.9	84.9	81.8	87.7
28	77.9	74.7	80.9	84.9	81.8	87.7
29	77.9	74.7	80.9	84.9	81.8	87.7
30	77.9	74.8	80.9	84.9	81.8	87.7
31	78	74.8	81	84.9	81.8	87.8
32	78	74.8	81	84.9	81.8	87.8
33	78	74.9	81	84.9	81.9	87.8
34	78	74.9	81	85	81.9	87.8
35	78.1	75	81	85	81.9	87.8
36	78.1	75	81.1	85	81.9	87.8
37	78.2	75	81.1	85	81.9	87.8
38	78.2	75.1	81.1	85	81.9	87.8
39	78.2	75.1	81.1	85	82	87.8
40	78.3	75.2	81.2	85.1	82	87.9
41	78.3	75.2	81.2	85.1	82	87.9
42	78.4	75.3	81.3	85.1	82.1	87.9
43	78.4	75.4	81.3	85.1	82.1	87.9
44	78.5	75.4	81.3	85.2	82.1	87.9
45	78.6	75.5	81.4	85.2	82.2	87.9
46	78.6	75.6	81.4	85.2	82.2	88
47	78.7	75.7	81.5	85.3	82.3	88
48	78.8	75.8	81.6	85.3	82.3	88
49	78.9	76	81.6	85.3	82.4	88
50	79.1	76.1	81.7	85.4	82.4	88.1
51	79.2	76.3	81.8	85.4	82.5	88.1
52	79.3	76.5	81.9	85.5	82.6	88.1
53	79.5	76.7	82	85.5	82.6	88.2
54	79.7	76.9	82.2	85.6	82.7	88.2
55	79.9	77.1	82.3	85.7	82.8	88.2
56	80.1	77.4	82.4	85.7	82.9	88.3
57	80.3	77.7	82.6	85.8	83	88.3
58	80.5	78	82.7	85.9	83.2	88.3
59	80.8	78.3	82.9	86	83.3	88.4
60	81	78.6	83.1	86.1	83.4	88.4
61	81.3	78.9	83.3	86.2	83.6	88.5
62	81.6	79.3	83.5	86.3	83.7	88.6
63	81.9	79.6	83.7	86.5	83.9	88.6
64	82.2	80	83.9	86.6	84.1	88.7
65	82.5	80.4	84.1	86.8	84.3	88.8
66	82.8	80.8	84.3	86.9	84.5	88.9
67	83.1	81.2	84.5	87.1	84.7	89
68	83.5	81.7	84.8	87.3	85	89.2
69	83.8	82.1	85	87.5	85.2	89.3
70	84.1	82.5	85.3	87.8	85.5	89.5
71	84.5	82.9	85.5	88	85.8	89.6
72	84.8	83.4	85.8	88.2	86	89.8
73	85.2	83.8	86.1	88.4	86.3	90
74	85.5	84.3	86.4	88.7	86.6	90.1
75	85.9	84.7	86.7	88.9	86.9	90.3
76	86.3	85.2	87	89.2	87.2	90.6
77	86.7	85.7	87.3	89.5	87.6	90.8
78	87.2	86.2	87.7	89.9	88	91.1
79	87.6	86.7	88.1	90.2	88.4	91.4
80	88.1	87.3	88.5	90.6	88.8	91.7
81	88.6	87.9	88.9	91	89.3	92
82	89.1	88.5	89.4	91.4	89.8	92.3
83	89.6	89.1	89.9	91.9	90.3	92.7
84	90.2	89.7	90.4	92.3	90.8	93.1
85	90.8	90.3	91	92.8	91.3	93.5
86	91.4	91	91.6	93.3	91.9	94
87	92	91.7	92.2	93.9	92.4	94.4
88	92.7	92.3	92.8	94.4	93.1	94.9
89	93.3	93	93.4	95	93.7	95.4
90	94	93.8	94.1	95.6	94.3	96
91	94.7	94.5	94.8	96.2	95	96.6
92	95.5	95.3	95.5	96.9	95.7	97.2
93	96.2	96.1	96.3	97.6	96.4	97.8
94	97	96.9	97.1	98.2	97.2	98.4
95	97.8	97.7	97.9	99	98	99.1
96	98.6	98.5	98.7	99.7	98.8	99.8
97	99.5	99.4	99.5	100.4	99.6	100.5
98	100.3	100.2	100.4	101.2	100.4	101.3
99	101.2	101.1	101.3	102	101.3	102.1
100	102.1	101.9	102.2	102.8	102.1	102.9

Odds of living to age in Hungary vs South Korea

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 88.4% in Hungary and 96% in South Korea are expected to survive till at least 60 years old, 73.8% and 88.8% will live to 70 years or older, 50.8% and 71.6% to 80+ years, and 17.3% and 36.7% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Hungary			South Korea
	Average	Male	Female	Average	Male	Female
1	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%
3	99.7%	99.7%	99.7%	99.8%	99.8%	99.8%
4	99.7%	99.6%	99.7%	99.8%	99.7%	99.8%
5	99.7%	99.6%	99.7%	99.7%	99.7%	99.8%
6	99.6%	99.6%	99.7%	99.7%	99.7%	99.8%
7	99.6%	99.6%	99.7%	99.7%	99.7%	99.7%
8	99.6%	99.6%	99.7%	99.7%	99.7%	99.7%
9	99.6%	99.6%	99.7%	99.7%	99.7%	99.7%
10	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
11	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
12	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
13	99.6%	99.6%	99.6%	99.7%	99.7%	99.7%
14	99.6%	99.5%	99.6%	99.7%	99.7%	99.7%
15	99.6%	99.5%	99.6%	99.7%	99.7%	99.7%
16	99.6%	99.5%	99.6%	99.7%	99.7%	99.7%
17	99.5%	99.5%	99.6%	99.7%	99.7%	99.7%
18	99.5%	99.5%	99.6%	99.7%	99.6%	99.7%
19	99.5%	99.4%	99.6%	99.7%	99.6%	99.7%
20	99.4%	99.4%	99.5%	99.6%	99.6%	99.7%
21	99.4%	99.3%	99.5%	99.6%	99.6%	99.7%
22	99.4%	99.3%	99.5%	99.6%	99.6%	99.6%
23	99.3%	99.2%	99.5%	99.6%	99.6%	99.6%
24	99.3%	99.2%	99.4%	99.6%	99.6%	99.6%
25	99.3%	99.1%	99.4%	99.6%	99.5%	99.6%
26	99.2%	99.1%	99.4%	99.6%	99.5%	99.6%
27	99.2%	99%	99.4%	99.5%	99.5%	99.6%
28	99.2%	99%	99.4%	99.5%	99.5%	99.6%
29	99.1%	98.9%	99.3%	99.5%	99.5%	99.6%
30	99.1%	98.8%	99.3%	99.5%	99.5%	99.6%
31	99%	98.7%	99.3%	99.5%	99.4%	99.5%
32	98.9%	98.7%	99.2%	99.5%	99.4%	99.5%
33	98.9%	98.6%	99.2%	99.4%	99.4%	99.5%
34	98.8%	98.5%	99.2%	99.4%	99.4%	99.5%
35	98.7%	98.4%	99.1%	99.4%	99.3%	99.5%
36	98.7%	98.3%	99.1%	99.4%	99.3%	99.4%
37	98.6%	98.2%	99%	99.3%	99.2%	99.4%
38	98.5%	98%	98.9%	99.3%	99.2%	99.4%
39	98.4%	97.9%	98.9%	99.3%	99.1%	99.4%
40	98.3%	97.8%	98.8%	99.2%	99.1%	99.3%
41	98.1%	97.6%	98.7%	99.2%	99%	99.3%
42	98%	97.4%	98.6%	99.1%	98.9%	99.3%
43	97.9%	97.2%	98.5%	99%	98.9%	99.2%
44	97.7%	97%	98.4%	99%	98.8%	99.2%
45	97.5%	96.8%	98.3%	98.9%	98.7%	99.1%
46	97.3%	96.5%	98.1%	98.8%	98.5%	99.1%
47	97%	96.1%	97.9%	98.7%	98.4%	99%
48	96.7%	95.7%	97.7%	98.6%	98.2%	99%
49	96.4%	95.3%	97.5%	98.5%	98.1%	98.9%
50	96%	94.7%	97.3%	98.4%	97.9%	98.9%
51	95.5%	94.1%	97%	98.2%	97.7%	98.8%
52	95%	93.4%	96.7%	98.1%	97.5%	98.7%
53	94.4%	92.6%	96.3%	97.9%	97.2%	98.6%
54	93.8%	91.8%	95.9%	97.7%	96.9%	98.5%
55	93.1%	90.8%	95.4%	97.5%	96.6%	98.4%
56	92.3%	89.8%	94.9%	97.3%	96.3%	98.3%
57	91.4%	88.6%	94.4%	97%	95.9%	98.2%
58	90.5%	87.3%	93.8%	96.7%	95.4%	98%
59	89.5%	85.9%	93.2%	96.4%	95%	97.9%
60	88.4%	84.5%	92.5%	96%	94.4%	97.7%
61	87.3%	83%	91.7%	95.6%	93.8%	97.5%
62	86%	81.3%	90.9%	95.2%	93.2%	97.2%
63	84.8%	79.6%	90%	94.7%	92.4%	97%
64	83.4%	77.8%	89.1%	94.1%	91.6%	96.7%
65	81.9%	75.8%	88.1%	93.4%	90.7%	96.3%
66	80.4%	73.7%	87.1%	92.7%	89.6%	95.9%
67	78.9%	71.7%	86%	91.9%	88.5%	95.4%
68	77.2%	69.6%	84.8%	90.9%	87.2%	94.8%
69	75.5%	67.5%	83.5%	89.9%	85.8%	94.1%
70	73.8%	65.3%	82.2%	88.8%	84.3%	93.4%
71	72%	63%	80.8%	87.7%	82.9%	92.6%
72	70.1%	60.7%	79.3%	86.5%	81.3%	91.8%
73	68.2%	58.3%	77.7%	85.3%	79.7%	90.9%
74	66.1%	55.8%	75.9%	83.9%	78%	89.9%
75	63.9%	53.3%	74.1%	82.4%	76.1%	88.8%
76	61.6%	50.7%	72%	80.6%	73.9%	87.5%
77	59.1%	48%	69.7%	78.7%	71.5%	86%
78	56.5%	45.1%	67.3%	76.5%	68.9%	84.3%
79	53.7%	42.2%	64.6%	74.2%	66%	82.4%
80	50.8%	39.3%	61.6%	71.6%	62.9%	80.3%
81	47.7%	36.2%	58.4%	68.9%	59.7%	78%
82	44.4%	33.1%	54.9%	66%	56.3%	75.6%
83	41%	30.1%	51.2%	62.9%	52.7%	72.9%
84	37.5%	27%	47.2%	59.6%	49%	69.9%
85	34%	24%	43.2%	56.2%	45.2%	66.7%
86	30.5%	21.2%	39%	52.5%	41.2%	63.3%
87	27%	18.4%	34.8%	48.7%	37.2%	59.5%
88	23.7%	15.8%	30.7%	44.8%	33.1%	55.5%
89	20.4%	13.4%	26.7%	40.8%	29.1%	51.4%
90	17.3%	11.1%	22.8%	36.7%	25.2%	47%
91	14.4%	9.08%	19.1%	32.7%	21.4%	42.5%
92	11.7%	7.24%	15.7%	28.8%	17.8%	38%
93	9.32%	5.63%	12.6%	24.9%	14.5%	33.5%
94	7.23%	4.26%	9.82%	21.3%	11.6%	29.1%
95	5.49%	3.17%	7.5%	17.9%	9%	24.9%
96	4.06%	2.31%	5.58%	14.8%	6.82%	20.8%
97	2.92%	1.63%	4.03%	11.9%	5.01%	17.1%
98	2.03%	1.12%	2.82%	9.46%	3.57%	13.7%
99	1.37%	0.75%	1.91%	7.32%	2.47%	10.7%
100	0.9%	0.48%	1.25%	5.52%	1.64%	8.17%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.28% in the birth year in Hungary and 0.19% in South Korea, 0.05% vs 0.02% at age 30, 1.3% vs 0.42% at 60, and 6.17% vs 3.82% at 80.

Below is a graph displaying the probabilities of dying in Hungary compared to South Korea at any given age.

Table

Age	Probability of dying
	Hungary			South Korea
	Average	Male	Female	Average	Male	Female
0	0.28%	0.3%	0.26%	0.19%	0.21%	0.18%
1	0.03%	0.02%	0.03%	0.02%	0.02%	0.02%
2	0.02%	0.02%	0.01%	0.02%	0.01%	0.02%
3	0.01%	0.01%	0.01%	0.01%	0.01%	0.01%
4	0.01%	0.01%	0.008%	0.01%	0.01%	0.01%
5	0.008%	0.009%	0.007%	0.009%	0.009%	0.009%
6	0.007%	0.006%	0.009%	0.008%	0.008%	0.008%
7	0.007%	0.007%	0.007%	0.007%	0.008%	0.007%
8	0.009%	0.01%	0.007%	0.007%	0.007%	0.007%
9	0.01%	0.01%	0.009%	0.006%	0.007%	0.006%
10	0.009%	0.009%	0.008%	0.005%	0.006%	0.005%
11	0.007%	0.008%	0.005%	0.005%	0.005%	0.005%
12	0.009%	0.01%	0.006%	0.005%	0.005%	0.004%
13	0.01%	0.01%	0.008%	0.005%	0.006%	0.005%
14	0.01%	0.02%	0.01%	0.006%	0.006%	0.005%
15	0.01%	0.02%	0.01%	0.007%	0.008%	0.006%
16	0.02%	0.02%	0.01%	0.008%	0.009%	0.007%
17	0.02%	0.03%	0.02%	0.009%	0.01%	0.008%
18	0.03%	0.04%	0.02%	0.01%	0.01%	0.008%
19	0.03%	0.05%	0.02%	0.01%	0.01%	0.009%
20	0.03%	0.05%	0.02%	0.01%	0.01%	0.01%
21	0.03%	0.04%	0.02%	0.01%	0.01%	0.01%
22	0.03%	0.05%	0.02%	0.01%	0.01%	0.01%
23	0.04%	0.05%	0.02%	0.01%	0.02%	0.01%
24	0.04%	0.05%	0.02%	0.01%	0.02%	0.01%
25	0.04%	0.06%	0.02%	0.01%	0.02%	0.01%
26	0.04%	0.06%	0.02%	0.01%	0.02%	0.01%
27	0.04%	0.06%	0.02%	0.01%	0.02%	0.01%
28	0.05%	0.07%	0.03%	0.02%	0.02%	0.01%
29	0.05%	0.07%	0.03%	0.02%	0.02%	0.01%
30	0.05%	0.07%	0.03%	0.02%	0.02%	0.01%
31	0.06%	0.08%	0.04%	0.02%	0.02%	0.02%
32	0.07%	0.09%	0.04%	0.02%	0.03%	0.02%
33	0.07%	0.09%	0.04%	0.02%	0.03%	0.02%
34	0.07%	0.1%	0.05%	0.03%	0.03%	0.02%
35	0.08%	0.11%	0.06%	0.03%	0.04%	0.02%
36	0.09%	0.12%	0.06%	0.03%	0.04%	0.02%
37	0.09%	0.12%	0.06%	0.04%	0.05%	0.03%
38	0.1%	0.13%	0.07%	0.04%	0.05%	0.03%
39	0.11%	0.14%	0.08%	0.05%	0.06%	0.03%
40	0.12%	0.16%	0.08%	0.05%	0.07%	0.03%
41	0.14%	0.19%	0.09%	0.06%	0.08%	0.03%
42	0.16%	0.21%	0.11%	0.06%	0.09%	0.04%
43	0.17%	0.23%	0.12%	0.07%	0.1%	0.04%
44	0.2%	0.26%	0.13%	0.08%	0.11%	0.04%
45	0.23%	0.3%	0.15%	0.09%	0.12%	0.05%
46	0.27%	0.36%	0.18%	0.1%	0.14%	0.05%
47	0.31%	0.42%	0.2%	0.11%	0.15%	0.06%
48	0.36%	0.49%	0.22%	0.12%	0.17%	0.07%
49	0.42%	0.57%	0.26%	0.13%	0.19%	0.07%
50	0.48%	0.65%	0.3%	0.14%	0.21%	0.07%
51	0.53%	0.73%	0.33%	0.16%	0.23%	0.08%
52	0.6%	0.83%	0.37%	0.17%	0.25%	0.08%
53	0.68%	0.93%	0.42%	0.19%	0.28%	0.09%
54	0.75%	1.04%	0.47%	0.21%	0.32%	0.1%
55	0.84%	1.16%	0.52%	0.24%	0.37%	0.12%
56	0.93%	1.3%	0.57%	0.27%	0.41%	0.13%
57	1.03%	1.44%	0.63%	0.3%	0.46%	0.15%
58	1.12%	1.57%	0.69%	0.34%	0.51%	0.17%
59	1.2%	1.68%	0.75%	0.38%	0.57%	0.19%
60	1.3%	1.83%	0.81%	0.42%	0.63%	0.21%
61	1.4%	1.98%	0.88%	0.47%	0.7%	0.24%
62	1.49%	2.09%	0.96%	0.54%	0.79%	0.28%
63	1.64%	2.33%	1.04%	0.6%	0.89%	0.32%
64	1.78%	2.57%	1.11%	0.68%	1.01%	0.37%
65	1.84%	2.68%	1.16%	0.79%	1.16%	0.45%
66	1.91%	2.75%	1.25%	0.92%	1.32%	0.54%
67	2.06%	2.92%	1.39%	1.04%	1.46%	0.63%
68	2.18%	3.08%	1.5%	1.13%	1.58%	0.7%
69	2.29%	3.25%	1.58%	1.2%	1.67%	0.77%
70	2.44%	3.46%	1.69%	1.26%	1.75%	0.83%
71	2.62%	3.69%	1.85%	1.33%	1.84%	0.88%
72	2.82%	3.94%	2.04%	1.43%	1.97%	0.95%
73	3.03%	4.22%	2.24%	1.6%	2.19%	1.08%
74	3.29%	4.53%	2.49%	1.82%	2.48%	1.25%
75	3.61%	4.89%	2.79%	2.09%	2.84%	1.47%
76	4%	5.39%	3.13%	2.41%	3.25%	1.71%
77	4.44%	5.94%	3.53%	2.76%	3.7%	1.98%
78	4.91%	6.43%	4.01%	3.1%	4.17%	2.25%
79	5.47%	7.01%	4.6%	3.46%	4.65%	2.54%
80	6.17%	7.79%	5.28%	3.82%	5.16%	2.84%
81	6.86%	8.52%	5.97%	4.22%	5.71%	3.18%
82	7.6%	9.26%	6.75%	4.67%	6.33%	3.57%
83	8.48%	10.1%	7.68%	5.2%	7.03%	4.03%
84	9.37%	11%	8.61%	5.79%	7.83%	4.57%
85	10.3%	11.9%	9.6%	6.46%	8.75%	5.19%
86	11.4%	13%	10.7%	7.22%	9.78%	5.9%
87	12.5%	14.1%	11.9%	8.06%	10.9%	6.68%
88	13.7%	15.5%	13.1%	8.95%	12.2%	7.55%
89	15.2%	16.9%	14.6%	9.92%	13.5%	8.48%
90	16.8%	18.4%	16.3%	11%	15%	9.51%
91	18.5%	20.2%	18%	12.1%	16.6%	10.6%
92	20.5%	22.3%	19.8%	13.3%	18.4%	11.8%
93	22.4%	24.2%	21.8%	14.6%	20.3%	13.1%
94	24.1%	25.6%	23.6%	16%	22.3%	14.6%
95	26%	27.1%	25.6%	17.5%	24.3%	16.2%
96	28.2%	29.4%	27.8%	19.1%	26.4%	18%
97	30.3%	31.4%	30%	20.8%	28.7%	19.8%
98	32.5%	33.3%	32.2%	22.6%	31%	21.7%
99	34.7%	35.4%	34.5%	24.6%	33.4%	23.8%
100	36.9%	37.5%	36.7%	26.2%	35.6%	25.6%

Death rate by age in Hungary compared to South Korea

In Hungary, the most common age of death is 84, compared to 89 in South Korea. The median age of death is 80.3 in Hungary and 86.7 in South Korea — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Hungary			South Korea
	Total	Male	Female	Total	Male	Female
0	280.4	300	259.4	193.1	207	178.4
1	25.5	24	27.1	20.1	19.6	20.6
2	16.6	20.7	12.3	15.2	14.8	15.6
3	12.4	12.7	12.2	12.1	11.9	12.4
4	10	12.2	7.73	10.1	10	10.2
5	8.3	9.3	7.24	8.78	8.83	8.73
6	7.3	6	8.68	7.91	8.07	7.74
7	7.26	7.28	7.23	7.34	7.59	7.07
8	8.58	10.5	6.5	6.84	7.15	6.52
9	10.4	11.6	9.07	6.21	6.53	5.87
10	8.64	9.32	7.93	5.43	5.72	5.12
11	6.85	8.21	5.43	4.86	5.13	4.56
12	8.77	11.5	5.83	4.8	5.14	4.45
13	11.1	13.9	7.99	5.09	5.53	4.62
14	12.7	15.5	9.73	5.71	6.34	5.03
15	14.1	18.1	9.87	6.69	7.62	5.7
16	17.1	22.8	11.1	7.95	9.26	6.56
17	23	30.6	15	9.34	11.1	7.5
18	29.8	41.7	17.3	10.6	12.7	8.42
19	34.3	49	18.7	11.6	13.9	9.17
20	34.4	47.3	20.7	12.2	14.6	9.69
21	33.5	44.6	21.8	12.5	14.8	10.1
22	33.5	44.9	21.4	12.7	14.9	10.3
23	34.8	49.1	19.7	12.8	14.9	10.5
24	37	53.4	19.5	13	15.1	10.7
25	38.9	54.9	21.9	13.4	15.6	11
26	39.8	57	21.6	14	16.4	11.4
27	42.4	61.7	21.9	14.8	17.5	11.9
28	48.2	68.5	26.2	15.8	18.7	12.6
29	51.1	71.6	29.2	17.1	20.1	13.5
30	49.5	69.5	28.2	18.5	21.8	14.7
31	57.3	77.7	35.5	20	23.6	15.8
32	65.7	87.2	42.6	21.7	25.7	17.1
33	66.3	88.8	41.9	23.9	28.5	18.7
34	73.8	96.4	49.4	26.4	31.7	20.3
35	83.7	107.6	58	29.2	35.6	22
36	88	115.7	58	32.7	40.4	24
37	92.9	122.3	60.9	36.4	45.9	26
38	103.1	130.1	74.1	40.6	52.2	27.8
39	108.4	138.7	76	45.4	59.5	29.9
40	117.7	155.2	77.9	50.8	67.8	32.3
41	138.5	181.7	93.4	56.4	76.6	34.7
42	155.8	201.8	107.5	62.6	86.2	37.5
43	171.1	222	118.1	69.5	96.5	40.8
44	192.2	253.2	129.3	77.1	107.8	44.6
45	223	294.6	148.8	85.2	120	48.7
46	262.4	344	177.6	94.4	133.6	53.3
47	302	404	195.4	105.7	150.3	59.1
48	346	471	215.9	117.6	168.1	64.8
49	401	540	254.7	128.3	185	69.3
50	456	613	293	139.6	203.2	73.6
51	508	691	318	152.8	224.6	78.6
52	569	772	358	167.1	248.1	83.3
53	638	859	408	185.2	276.6	89.8
54	708	953	454	208.6	313	100.2
55	781	1,057	496	235.2	354	113.5
56	859	1,169	541	263.5	396	128.8
57	938	1,278	593	293.3	440	145.8
58	1,010	1,369	647	328	487	164.8
59	1,072	1,442	698	365	538	185.6
60	1,150	1,547	753	403	593	207.5
61	1,222	1,639	811	451	658	235.2
62	1,280	1,701	870	510	737	271.1
63	1,386	1,856	935	569	821	310
64	1,481	2,000	989	642	922	360
65	1,507	2,027	1,024	741	1,049	431
66	1,538	2,031	1,086	852	1,183	515
67	1,624	2,092	1,197	952	1,296	598
68	1,683	2,142	1,271	1,026	1,377	667
69	1,731	2,191	1,322	1,079	1,433	724
70	1,800	2,260	1,393	1,123	1,476	772
71	1,885	2,328	1,498	1,168	1,524	814
72	1,975	2,393	1,619	1,239	1,606	875
73	2,066	2,460	1,743	1,363	1,747	982
74	2,174	2,527	1,888	1,529	1,936	1,128
75	2,307	2,605	2,065	1,726	2,156	1,301
76	2,466	2,735	2,256	1,947	2,402	1,498
77	2,627	2,848	2,464	2,168	2,646	1,702
78	2,775	2,899	2,699	2,376	2,871	1,899
79	2,941	2,960	2,967	2,567	3,071	2,089
80	3,133	3,059	3,250	2,735	3,246	2,278
81	3,269	3,085	3,484	2,904	3,409	2,479
82	3,376	3,066	3,706	3,083	3,561	2,697
83	3,480	3,037	3,930	3,267	3,705	2,937
84	3,518	2,971	4,066	3,449	3,838	3,197
85	3,510	2,870	4,145	3,627	3,949	3,466
86	3,476	2,743	4,192	3,793	4,030	3,732
87	3,388	2,602	4,147	3,925	4,060	3,979
88	3,243	2,446	4,008	4,012	4,029	4,192
89	3,099	2,259	3,887	4,046	3,936	4,356
90	2,915	2,049	3,707	4,030	3,775	4,468
91	2,670	1,833	3,427	3,960	3,550	4,521
92	2,401	1,617	3,106	3,829	3,281	4,498
93	2,089	1,364	2,734	3,641	2,957	4,406
94	1,746	1,091	2,321	3,402	2,584	4,253
95	1,426	860	1,919	3,122	2,188	4,027
96	1,145	679	1,551	2,817	1,802	3,738
97	885	513	1,209	2,486	1,439	3,382
98	660	373	909	2,141	1,109	2,979
99	476	264.8	660	1,797	823	2,552
100	203.5	89.1	302	1,475	445	2,223

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Hungary and South Korea demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Hungary vs South Korea: Statistical Insights

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size