Life Expectancy in Hungary vs South Korea (1950-2026)

Life expectancy by current age

Chart Table

Hungary

Male

Female

South Korea

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			South Korea
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	102.8	102.1	102.9
99	101.2	101.1	101.3	102	101.3	102.1
98	100.3	100.2	100.4	101.2	100.4	101.3
97	99.5	99.4	99.5	100.5	99.6	100.6
96	98.6	98.5	98.7	99.7	98.8	99.8
95	97.8	97.7	97.9	99	98	99.1
94	97	96.9	97.1	98.3	97.2	98.5
93	96.3	96.1	96.3	97.6	96.5	97.8
92	95.5	95.3	95.6	96.9	95.7	97.2
91	94.8	94.5	94.8	96.2	95	96.6
90	94	93.8	94.1	95.6	94.4	96
89	93.4	93.1	93.5	95	93.7	95.5
88	92.7	92.4	92.8	94.4	93.1	95
87	92.1	91.7	92.2	93.9	92.5	94.5
86	91.4	91	91.6	93.3	91.9	94
85	90.8	90.4	91	92.8	91.3	93.6
84	90.2	89.7	90.5	92.4	90.8	93.2
83	89.7	89.1	89.9	91.9	90.3	92.8
82	89.1	88.5	89.4	91.5	89.8	92.4
81	88.6	87.9	89	91.1	89.3	92.1
80	88.1	87.4	88.5	90.7	88.9	91.7
79	87.7	86.8	88.1	90.3	88.5	91.4
78	87.2	86.3	87.7	89.9	88.1	91.1
77	86.8	85.8	87.4	89.6	87.7	90.9
76	86.4	85.3	87	89.3	87.3	90.6
75	86	84.8	86.7	89	87	90.4
74	85.6	84.4	86.4	88.7	86.7	90.2
73	85.3	83.9	86.1	88.5	86.4	90
72	84.9	83.5	85.9	88.3	86.1	89.9
71	84.6	83	85.6	88	85.9	89.7
70	84.2	82.6	85.4	87.8	85.6	89.6
69	83.9	82.2	85.1	87.6	85.3	89.4
68	83.6	81.8	84.9	87.4	85.1	89.3
67	83.2	81.4	84.6	87.2	84.8	89.1
66	82.9	81	84.4	87	84.6	89
65	82.6	80.5	84.2	86.8	84.4	88.9
64	82.3	80.1	84	86.7	84.2	88.8
63	82	79.8	83.8	86.5	84	88.7
62	81.7	79.4	83.6	86.4	83.8	88.7
61	81.4	79.1	83.4	86.3	83.7	88.6
60	81.2	78.7	83.2	86.2	83.5	88.5
59	80.9	78.4	83	86.1	83.4	88.5
58	80.7	78.1	82.8	86	83.3	88.4
57	80.4	77.8	82.7	85.9	83.1	88.4
56	80.2	77.5	82.5	85.8	83	88.4
55	80	77.3	82.4	85.8	82.9	88.3
54	79.8	77.1	82.3	85.7	82.8	88.3
53	79.6	76.8	82.2	85.6	82.8	88.3
52	79.5	76.6	82	85.6	82.7	88.2
51	79.3	76.5	82	85.5	82.6	88.2
50	79.2	76.3	81.9	85.5	82.5	88.2
49	79.1	76.1	81.8	85.4	82.5	88.1
48	79	76	81.7	85.4	82.4	88.1
47	78.9	75.9	81.6	85.4	82.4	88.1
46	78.8	75.8	81.6	85.3	82.3	88.1
45	78.7	75.7	81.5	85.3	82.3	88.1
44	78.6	75.6	81.5	85.2	82.2	88
43	78.6	75.5	81.4	85.2	82.2	88
42	78.5	75.5	81.4	85.2	82.2	88
41	78.5	75.4	81.3	85.2	82.1	88
40	78.4	75.4	81.3	85.1	82.1	88
39	78.4	75.3	81.3	85.1	82.1	88
38	78.3	75.3	81.3	85.1	82.1	87.9
37	78.3	75.2	81.2	85.1	82	87.9
36	78.3	75.2	81.2	85.1	82	87.9
35	78.2	75.1	81.2	85.1	82	87.9
34	78.2	75.1	81.1	85	82	87.9
33	78.2	75.1	81.1	85	82	87.9
32	78.1	75	81.1	85	82	87.9
31	78.1	75	81.1	85	82	87.9
30	78.1	75	81.1	85	81.9	87.9
29	78.1	74.9	81.1	85	81.9	87.8
28	78	74.9	81	85	81.9	87.8
27	78	74.9	81	85	81.9	87.8
26	78	74.8	81	85	81.9	87.8
25	78	74.8	81	85	81.9	87.8
24	78	74.8	81	85	81.9	87.8
23	77.9	74.8	81	84.9	81.9	87.8
22	77.9	74.7	81	84.9	81.9	87.8
21	77.9	74.7	81	84.9	81.9	87.8
20	77.9	74.7	81	84.9	81.8	87.8
19	77.9	74.7	80.9	84.9	81.8	87.8
18	77.8	74.6	80.9	84.9	81.8	87.8
17	77.8	74.6	80.9	84.9	81.8	87.8
16	77.8	74.6	80.9	84.9	81.8	87.8
15	77.8	74.6	80.9	84.9	81.8	87.8
14	77.8	74.6	80.9	84.9	81.8	87.8
13	77.8	74.6	80.9	84.9	81.8	87.8
12	77.8	74.6	80.9	84.9	81.8	87.7
11	77.8	74.6	80.9	84.9	81.8	87.7
10	77.8	74.6	80.9	84.9	81.8	87.7
9	77.8	74.5	80.9	84.9	81.8	87.7
8	77.8	74.5	80.9	84.9	81.8	87.7
7	77.8	74.5	80.9	84.9	81.8	87.7
6	77.8	74.5	80.9	84.9	81.8	87.7
5	77.8	74.5	80.9	84.8	81.8	87.7
4	77.7	74.5	80.9	84.8	81.8	87.7
3	77.7	74.5	80.8	84.8	81.7	87.7
2	77.7	74.5	80.8	84.8	81.7	87.7
1	77.7	74.5	80.8	84.8	81.7	87.7
0	77.5	74.3	80.6	84.6	81.6	87.5

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 85 in South Korea, rising to 82.6 and 86.8 at 65, and to 88.1 and 90.7 at 80 — higher than the 77.5 and 84.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

South Korea

Male

Female

1x

Age	Survival probability
	Hungary			South Korea
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	5.61%	1.7%	8.36%
99	1.43%	0.79%	1.99%	7.43%	2.54%	11%
98	2.12%	1.18%	2.92%	9.59%	3.68%	14%
97	3.03%	1.71%	4.17%	12.1%	5.15%	17.4%
96	4.21%	2.42%	5.76%	15%	6.99%	21.2%
95	5.67%	3.31%	7.72%	18.1%	9.22%	25.2%
94	7.46%	4.44%	10.1%	21.5%	11.8%	29.5%
93	9.59%	5.84%	12.9%	25.2%	14.8%	34%
92	12%	7.51%	16%	29.1%	18.2%	38.5%
91	14.8%	9.39%	19.5%	33%	21.7%	43%
90	17.7%	11.5%	23.2%	37.1%	25.6%	47.5%
89	20.8%	13.8%	27.2%	41.2%	29.5%	51.8%
88	24.1%	16.3%	31.2%	45.2%	33.6%	56%
87	27.5%	18.9%	35.4%	49.1%	37.6%	60%
86	31%	21.7%	39.6%	52.9%	41.7%	63.7%
85	34.6%	24.6%	43.7%	56.5%	45.6%	67.1%
84	38.1%	27.6%	47.8%	60%	49.4%	70.3%
83	41.6%	30.7%	51.7%	63.2%	53.1%	73.2%
82	44.9%	33.7%	55.4%	66.3%	56.7%	75.9%
81	48.2%	36.8%	58.9%	69.2%	60.1%	78.3%
80	51.3%	39.9%	62.1%	71.9%	63.3%	80.6%
79	54.3%	42.9%	65%	74.5%	66.4%	82.7%
78	57%	45.7%	67.7%	76.8%	69.2%	84.5%
77	59.6%	48.6%	70.1%	79%	71.8%	86.2%
76	62.1%	51.3%	72.4%	80.9%	74.2%	87.7%
75	64.4%	53.9%	74.4%	82.6%	76.4%	89%
74	66.5%	56.4%	76.3%	84.1%	78.3%	90.1%
73	68.6%	58.9%	78%	85.5%	80%	91.1%
72	70.5%	61.2%	79.6%	86.7%	81.6%	91.9%
71	72.4%	63.5%	81.1%	87.8%	83.1%	92.7%
70	74.2%	65.8%	82.5%	89%	84.6%	93.5%
69	75.9%	67.9%	83.8%	90%	86%	94.2%
68	77.5%	70.1%	85%	91%	87.3%	94.8%
67	79.2%	72.1%	86.2%	92%	88.6%	95.4%
66	80.7%	74.1%	87.3%	92.8%	89.8%	95.9%
65	82.2%	76.1%	88.3%	93.5%	90.8%	96.4%
64	83.6%	78.1%	89.3%	94.2%	91.7%	96.7%
63	85%	79.9%	90.2%	94.7%	92.5%	97%
62	86.3%	81.6%	91%	95.2%	93.3%	97.3%
61	87.5%	83.2%	91.8%	95.7%	93.9%	97.5%
60	88.6%	84.8%	92.6%	96.1%	94.5%	97.7%
59	89.7%	86.2%	93.3%	96.4%	95%	97.9%
58	90.6%	87.5%	93.9%	96.8%	95.5%	98.1%
57	91.6%	88.8%	94.5%	97%	95.9%	98.2%
56	92.4%	89.9%	95%	97.3%	96.3%	98.3%
55	93.2%	91%	95.5%	97.5%	96.7%	98.5%
54	93.9%	91.9%	96%	97.7%	97%	98.6%
53	94.5%	92.8%	96.4%	97.9%	97.3%	98.6%
52	95.1%	93.5%	96.7%	98.1%	97.5%	98.7%
51	95.6%	94.2%	97%	98.2%	97.7%	98.8%
50	96%	94.8%	97.3%	98.4%	97.9%	98.9%
49	96.4%	95.3%	97.6%	98.5%	98.1%	98.9%
48	96.8%	95.8%	97.8%	98.6%	98.3%	99%
47	97.1%	96.2%	98%	98.7%	98.4%	99.1%
46	97.3%	96.5%	98.1%	98.8%	98.6%	99.1%
45	97.5%	96.8%	98.3%	98.9%	98.7%	99.2%
44	97.7%	97.1%	98.4%	99%	98.8%	99.2%
43	97.9%	97.3%	98.5%	99.1%	98.9%	99.2%
42	98%	97.5%	98.6%	99.1%	99%	99.3%
41	98.2%	97.7%	98.7%	99.2%	99%	99.3%
40	98.3%	97.8%	98.8%	99.2%	99.1%	99.3%
39	98.4%	98%	98.9%	99.3%	99.2%	99.4%
38	98.5%	98.1%	99%	99.3%	99.2%	99.4%
37	98.6%	98.2%	99%	99.3%	99.3%	99.4%
36	98.7%	98.3%	99.1%	99.4%	99.3%	99.5%
35	98.8%	98.4%	99.1%	99.4%	99.3%	99.5%
34	98.8%	98.5%	99.2%	99.4%	99.4%	99.5%
33	98.9%	98.6%	99.2%	99.5%	99.4%	99.5%
32	99%	98.7%	99.3%	99.5%	99.4%	99.5%
31	99%	98.8%	99.3%	99.5%	99.4%	99.5%
30	99.1%	98.8%	99.3%	99.5%	99.5%	99.6%
29	99.1%	98.9%	99.4%	99.5%	99.5%	99.6%
28	99.2%	99%	99.4%	99.5%	99.5%	99.6%
27	99.2%	99%	99.4%	99.6%	99.5%	99.6%
26	99.3%	99.1%	99.4%	99.6%	99.5%	99.6%
25	99.3%	99.1%	99.4%	99.6%	99.5%	99.6%
24	99.3%	99.2%	99.5%	99.6%	99.6%	99.6%
23	99.4%	99.2%	99.5%	99.6%	99.6%	99.6%
22	99.4%	99.3%	99.5%	99.6%	99.6%	99.7%
21	99.4%	99.3%	99.5%	99.6%	99.6%	99.7%
20	99.5%	99.4%	99.5%	99.6%	99.6%	99.7%
19	99.5%	99.4%	99.6%	99.7%	99.6%	99.7%
18	99.5%	99.5%	99.6%	99.7%	99.6%	99.7%
17	99.5%	99.5%	99.6%	99.7%	99.7%	99.7%
16	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%
14	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%
12	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%
10	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%
8	99.6%	99.6%	99.7%	99.7%	99.7%	99.7%
7	99.7%	99.6%	99.7%	99.7%	99.7%	99.8%
6	99.7%	99.6%	99.7%	99.7%	99.7%	99.8%
5	99.7%	99.6%	99.7%	99.8%	99.7%	99.8%
4	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%
2	99.7%	99.7%	99.7%	99.8%	99.8%	99.8%
1	99.7%	99.7%	99.7%	99.8%	99.8%	99.8%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 96.1% in South Korea are expected to live past 60, 74.2% and 89% past 70, 51.3% and 71.9% past 80, and only 17.7% and 37.1% 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

South Korea

Male

Female

1x

Age	Probability of dying
	Hungary			South Korea
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	26.2%	35.5%	25.5%
99	34.6%	35.3%	34.4%	24.5%	33.3%	23.7%
98	32.3%	33.2%	32.1%	22.6%	30.9%	21.6%
97	30.2%	31.2%	29.9%	20.8%	28.6%	19.7%
96	28%	29.2%	27.6%	19%	26.3%	17.8%
95	25.8%	26.9%	25.4%	17.4%	24.2%	16.1%
94	24%	25.4%	23.5%	15.9%	22.2%	14.5%
93	22.2%	24.1%	21.6%	14.6%	20.2%	13%
92	20.3%	22.1%	19.7%	13.3%	18.3%	11.7%
91	18.4%	20%	17.8%	12%	16.5%	10.5%
90	16.7%	18.3%	16.1%	10.9%	14.9%	9.42%
89	15%	16.7%	14.4%	9.87%	13.4%	8.4%
88	13.6%	15.3%	12.9%	8.91%	12.1%	7.47%
87	12.4%	14%	11.8%	8%	10.8%	6.61%
86	11.3%	12.8%	10.6%	7.17%	9.69%	5.83%
85	10.2%	11.8%	9.49%	6.42%	8.66%	5.13%
84	9.27%	10.9%	8.51%	5.75%	7.75%	4.52%
83	8.38%	9.98%	7.59%	5.15%	6.96%	3.98%
82	7.51%	9.13%	6.67%	4.63%	6.26%	3.52%
81	6.77%	8.41%	5.89%	4.18%	5.65%	3.13%
80	6.09%	7.68%	5.2%	3.79%	5.1%	2.8%
79	5.4%	6.91%	4.53%	3.42%	4.6%	2.5%
78	4.84%	6.33%	3.95%	3.07%	4.12%	2.22%
77	4.38%	5.85%	3.48%	2.72%	3.65%	1.95%
76	3.94%	5.31%	3.09%	2.38%	3.21%	1.69%
75	3.55%	4.81%	2.75%	2.07%	2.8%	1.44%
74	3.24%	4.45%	2.45%	1.8%	2.45%	1.23%
73	2.99%	4.15%	2.21%	1.58%	2.16%	1.06%
72	2.77%	3.88%	2.01%	1.41%	1.95%	0.94%
71	2.58%	3.63%	1.82%	1.31%	1.81%	0.86%
70	2.4%	3.4%	1.67%	1.25%	1.72%	0.81%
69	2.25%	3.19%	1.56%	1.19%	1.65%	0.76%
68	2.14%	3.02%	1.47%	1.11%	1.56%	0.69%
67	2.02%	2.87%	1.37%	1.02%	1.44%	0.62%
66	1.88%	2.71%	1.23%	0.9%	1.3%	0.53%
65	1.81%	2.63%	1.14%	0.78%	1.14%	0.44%
64	1.75%	2.53%	1.09%	0.68%	0.99%	0.37%
63	1.61%	2.29%	1.02%	0.59%	0.88%	0.31%
62	1.47%	2.05%	0.94%	0.53%	0.78%	0.27%
61	1.38%	1.94%	0.87%	0.46%	0.69%	0.24%
60	1.28%	1.8%	0.8%	0.41%	0.62%	0.21%
59	1.18%	1.65%	0.74%	0.37%	0.56%	0.19%
58	1.1%	1.54%	0.68%	0.33%	0.5%	0.17%
57	1.01%	1.42%	0.62%	0.3%	0.45%	0.15%
56	0.92%	1.28%	0.56%	0.27%	0.41%	0.13%
55	0.83%	1.14%	0.51%	0.24%	0.36%	0.11%
54	0.74%	1.02%	0.47%	0.21%	0.32%	0.1%
53	0.66%	0.91%	0.42%	0.19%	0.28%	0.09%
52	0.59%	0.81%	0.36%	0.17%	0.25%	0.08%
51	0.52%	0.72%	0.32%	0.15%	0.23%	0.08%
50	0.47%	0.64%	0.3%	0.14%	0.2%	0.07%
49	0.41%	0.56%	0.26%	0.13%	0.19%	0.07%
48	0.35%	0.48%	0.22%	0.12%	0.17%	0.06%
47	0.31%	0.41%	0.2%	0.11%	0.15%	0.06%
46	0.27%	0.35%	0.18%	0.09%	0.13%	0.05%
45	0.23%	0.3%	0.15%	0.09%	0.12%	0.05%
44	0.19%	0.26%	0.13%	0.08%	0.11%	0.04%
43	0.17%	0.22%	0.12%	0.07%	0.1%	0.04%
42	0.16%	0.2%	0.11%	0.06%	0.09%	0.04%
41	0.14%	0.18%	0.09%	0.06%	0.08%	0.03%
40	0.12%	0.16%	0.08%	0.05%	0.07%	0.03%
39	0.11%	0.14%	0.08%	0.05%	0.06%	0.03%
38	0.1%	0.13%	0.07%	0.04%	0.05%	0.03%
37	0.09%	0.12%	0.06%	0.04%	0.05%	0.03%
36	0.09%	0.12%	0.06%	0.03%	0.04%	0.02%
35	0.08%	0.11%	0.06%	0.03%	0.04%	0.02%
34	0.07%	0.1%	0.05%	0.03%	0.03%	0.02%
33	0.07%	0.09%	0.04%	0.02%	0.03%	0.02%
32	0.07%	0.09%	0.04%	0.02%	0.03%	0.02%
31	0.06%	0.08%	0.04%	0.02%	0.02%	0.02%
30	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%
28	0.05%	0.07%	0.03%	0.02%	0.02%	0.01%
27	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%
25	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%
23	0.03%	0.05%	0.02%	0.01%	0.01%	0.01%
22	0.03%	0.04%	0.02%	0.01%	0.01%	0.01%
21	0.03%	0.04%	0.02%	0.01%	0.01%	0.01%
20	0.03%	0.05%	0.02%	0.01%	0.01%	0.01%
19	0.03%	0.05%	0.02%	0.01%	0.01%	0.009%
18	0.03%	0.04%	0.02%	0.01%	0.01%	0.008%
17	0.02%	0.03%	0.01%	0.009%	0.01%	0.007%
16	0.02%	0.02%	0.01%	0.008%	0.009%	0.006%
15	0.01%	0.02%	0.01%	0.007%	0.008%	0.006%
14	0.01%	0.02%	0.01%	0.006%	0.006%	0.005%
13	0.01%	0.01%	0.008%	0.005%	0.005%	0.005%
12	0.009%	0.01%	0.006%	0.005%	0.005%	0.004%
11	0.007%	0.008%	0.005%	0.005%	0.005%	0.004%
10	0.008%	0.009%	0.008%	0.005%	0.006%	0.005%
9	0.01%	0.01%	0.009%	0.006%	0.006%	0.006%
8	0.008%	0.01%	0.006%	0.007%	0.007%	0.006%
7	0.007%	0.007%	0.007%	0.007%	0.007%	0.007%
6	0.007%	0.006%	0.008%	0.008%	0.008%	0.008%
5	0.008%	0.009%	0.007%	0.009%	0.009%	0.009%
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%	0.02%
1	0.02%	0.02%	0.03%	0.02%	0.02%	0.02%
0	0.27%	0.29%	0.25%	0.19%	0.2%	0.17%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 0.19% in South Korea, 0.05% vs 0.02% at age 30, 1.28% vs 0.41% at 60, and 6.09% vs 3.79% at 80.

Death rate by age in Hungary vs South Korea

Chart Table

Hungary

Male

Female

South Korea

Male

Female

1x

Age	Death rate
	Hungary			South Korea
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	1,496	465	2,272
99	495	277.8	683	1,820	846	2,596
98	684	391	938	2,167	1,138	3,025
97	915	535	1,245	2,513	1,472	3,426
96	1,180	706	1,592	2,846	1,839	3,778
95	1,464	892	1,963	3,154	2,227	4,062
94	1,787	1,128	2,368	3,435	2,625	4,281
93	2,133	1,406	2,782	3,670	2,997	4,428
92	2,445	1,662	3,153	3,854	3,319	4,513
91	2,712	1,880	3,470	3,978	3,585	4,529
90	2,952	2,096	3,745	4,047	3,805	4,469
89	3,133	2,304	3,918	4,064	3,960	4,351
88	3,276	2,490	4,033	4,023	4,047	4,181
87	3,416	2,642	4,164	3,931	4,072	3,963
86	3,500	2,779	4,202	3,793	4,036	3,713
85	3,529	2,901	4,148	3,628	3,949	3,445
84	3,532	2,998	4,063	3,448	3,833	3,175
83	3,485	3,058	3,921	3,257	3,697	2,914
82	3,376	3,081	3,693	3,068	3,548	2,673
81	3,263	3,096	3,467	2,894	3,393	2,454
80	3,126	3,064	3,230	2,726	3,228	2,253
79	2,932	2,961	2,946	2,548	3,050	2,065
78	2,759	2,895	2,678	2,355	2,849	1,876
77	2,610	2,840	2,442	2,149	2,624	1,680
76	2,449	2,724	2,235	1,925	2,380	1,478
75	2,284	2,592	2,044	1,706	2,136	1,283
74	2,153	2,511	1,867	1,512	1,917	1,112
73	2,051	2,442	1,723	1,347	1,729	968
72	1,957	2,374	1,599	1,225	1,589	862
71	1,865	2,307	1,479	1,153	1,507	801
70	1,778	2,237	1,375	1,109	1,458	760
69	1,711	2,168	1,304	1,068	1,416	712
68	1,663	2,118	1,253	1,012	1,359	656
67	1,602	2,067	1,180	936	1,279	588
66	1,520	2,006	1,070	837	1,167	507
65	1,490	2,000	1,009	730	1,035	424
64	1,462	1,972	974	636	909	354
63	1,369	1,830	921	563	810	305
62	1,264	1,677	857	501	727	266.7
61	1,206	1,614	799	443	649	231.4
60	1,134	1,524	742	398	585	204.3
59	1,056	1,420	688	359	531	182.7
58	995	1,348	637	322	481	162.3
57	925	1,258	584	290	435	143.6
56	847	1,151	532	260.8	391	126.9
55	769	1,041	488	232.6	349	111.9
54	697	938	447	206.2	309	98.8
53	628	845	402	182.4	273	88.5
52	560	760	352	164.8	244.9	82.1
51	500	680	313	151	221.8	77.5
50	450	603	288.7	137.9	200.6	72.6
49	394	532	251	126.7	182.6	68.3
48	341	464	212.8	116.1	166	63.9
47	297.3	398	192.6	104.4	148.4	58.3
46	258.4	339	175.1	93.1	131.9	52.6
45	219.6	290.2	146.8	84.3	118.5	48.1
44	189.8	249.5	127.5	76.2	106.4	44
43	168.8	218.7	116.5	68.6	95.3	40.2
42	153.4	198.8	106	61.9	85.1	37
41	136.8	179	92.1	55.8	75.6	34.2
40	116.2	153	76.9	50.2	66.9	31.8
39	107	136.8	75	44.8	58.7	29.5
38	101.8	128.2	73.1	40.1	51.5	27.4
37	91.6	120.6	60.1	36.1	45.3	25.6
36	86.7	114	57.2	32.3	39.8	23.6
35	82.6	106.1	57.3	28.9	35.1	21.7
34	72.8	95	48.8	26	31.3	20
33	65.3	87.5	41.3	23.6	28.1	18.4
32	64.7	85.9	42	21.5	25.4	16.9
31	56.5	76.5	35	19.7	23.3	15.6
30	48.8	68.4	27.8	18.2	21.5	14.5
29	50.4	70.4	28.8	16.8	19.9	13.4
28	47.4	67.4	25.9	15.6	18.5	12.5
27	41.7	60.7	21.6	14.6	17.3	11.8
26	39.3	56	21.3	13.8	16.2	11.2
25	38.3	53.9	21.5	13.2	15.4	10.8
24	36.4	52.5	19.2	12.8	14.9	10.5
23	34.2	48.2	19.4	12.6	14.8	10.3
22	32.9	44.1	21.1	12.5	14.7	10.1
21	33	43.7	21.5	12.4	14.7	9.89
20	33.7	46.4	20.3	12.1	14.4	9.53
19	33.6	48.1	18.3	11.5	13.8	9.02
18	29.2	40.9	17	10.5	12.6	8.27
17	22.5	29.9	14.7	9.2	10.9	7.37
16	16.7	22.3	10.9	7.83	9.14	6.44
15	13.8	17.7	9.68	6.59	7.52	5.6
14	12.4	15.1	9.53	5.61	6.25	4.94
13	10.8	13.6	7.82	5.01	5.45	4.54
12	8.56	11.3	5.71	4.72	5.06	4.37
11	6.7	8.01	5.31	4.77	5.05	4.47
10	8.44	9.09	7.74	5.33	5.63	5.02
9	10.1	11.3	8.86	6.1	6.42	5.75
8	8.36	10.3	6.34	6.71	7.03	6.38
7	7.08	7.1	7.06	7.2	7.46	6.92
6	7.12	5.85	8.46	7.76	7.93	7.57
5	8.09	9.06	7.07	8.61	8.68	8.54
4	9.76	11.8	7.54	9.92	9.86	9.98
3	12.1	12.3	11.9	11.9	11.7	12.1
2	16.1	20.1	12	14.9	14.5	15.2
1	24.7	23.2	26.3	19.6	19.2	20.2
0	271.5	290.3	251.6	189.5	203.7	174.6

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 89 in South Korea. The median age of death is 80.4 in Hungary and 86.8 in South Korea, 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 South Korea more than their death rates.

Life expectancy in other countries

+ -

1x