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

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 Africa: 78.1 years vs 70.6 at 30, 82.6 vs 80.7 at 65, 88.1 vs 88.8 at 80 — significantly higher than the 77.5 vs 66.7 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 Africa.

Table

Current age, years	Total life expectancy, years
	Hungary			South Africa
	Average	Male	Female	Average	Male	Female
0	77.5	74.3	80.6	66.7	63.1	70.2
1	77.7	74.5	80.8	68.1	64.7	71.5
2	77.7	74.5	80.8	68.4	64.9	71.8
3	77.7	74.5	80.8	68.5	65.1	71.9
4	77.7	74.5	80.9	68.6	65.2	72
5	77.8	74.5	80.9	68.7	65.3	72
6	77.8	74.5	80.9	68.7	65.3	72.1
7	77.8	74.5	80.9	68.8	65.4	72.1
8	77.8	74.5	80.9	68.8	65.4	72.1
9	77.8	74.5	80.9	68.8	65.4	72.1
10	77.8	74.6	80.9	68.8	65.4	72.2
11	77.8	74.6	80.9	68.9	65.5	72.2
12	77.8	74.6	80.9	68.9	65.5	72.2
13	77.8	74.6	80.9	68.9	65.5	72.2
14	77.8	74.6	80.9	68.9	65.6	72.3
15	77.8	74.6	80.9	69	65.6	72.3
16	77.8	74.6	80.9	69	65.7	72.3
17	77.8	74.6	80.9	69.1	65.7	72.4
18	77.8	74.6	80.9	69.2	65.8	72.4
19	77.9	74.7	80.9	69.2	65.9	72.5
20	77.9	74.7	81	69.3	66	72.6
21	77.9	74.7	81	69.4	66.1	72.6
22	77.9	74.7	81	69.5	66.2	72.7
23	77.9	74.8	81	69.6	66.3	72.8
24	78	74.8	81	69.7	66.5	72.9
25	78	74.8	81	69.9	66.6	73
26	78	74.8	81	70	66.8	73.1
27	78	74.9	81	70.1	66.9	73.2
28	78	74.9	81	70.3	67.1	73.3
29	78.1	74.9	81.1	70.4	67.3	73.5
30	78.1	75	81.1	70.6	67.5	73.6
31	78.1	75	81.1	70.8	67.7	73.8
32	78.1	75	81.1	71	67.9	73.9
33	78.2	75.1	81.1	71.2	68.1	74.1
34	78.2	75.1	81.1	71.4	68.3	74.3
35	78.2	75.1	81.2	71.6	68.5	74.5
36	78.3	75.2	81.2	71.8	68.7	74.6
37	78.3	75.2	81.2	72	68.9	74.8
38	78.3	75.3	81.3	72.2	69.2	75
39	78.4	75.3	81.3	72.4	69.4	75.2
40	78.4	75.4	81.3	72.6	69.7	75.4
41	78.5	75.4	81.3	72.9	69.9	75.6
42	78.5	75.5	81.4	73.1	70.2	75.8
43	78.6	75.5	81.4	73.4	70.4	76.1
44	78.6	75.6	81.5	73.6	70.7	76.3
45	78.7	75.7	81.5	73.9	71	76.5
46	78.8	75.8	81.6	74.2	71.3	76.7
47	78.9	75.9	81.6	74.4	71.6	77
48	79	76	81.7	74.7	71.9	77.2
49	79.1	76.1	81.8	75	72.2	77.4
50	79.2	76.3	81.9	75.3	72.6	77.7
51	79.3	76.5	82	75.6	72.9	77.9
52	79.5	76.6	82	75.9	73.3	78.2
53	79.6	76.8	82.2	76.2	73.6	78.4
54	79.8	77.1	82.3	76.5	74	78.7
55	80	77.3	82.4	76.9	74.4	78.9
56	80.2	77.5	82.5	77.2	74.8	79.2
57	80.4	77.8	82.7	77.5	75.2	79.5
58	80.7	78.1	82.8	77.9	75.6	79.8
59	80.9	78.4	83	78.3	76	80.1
60	81.2	78.7	83.2	78.7	76.5	80.4
61	81.4	79.1	83.4	79	76.9	80.7
62	81.7	79.4	83.6	79.4	77.4	81
63	82	79.8	83.8	79.9	77.9	81.4
64	82.3	80.1	84	80.3	78.4	81.7
65	82.6	80.5	84.2	80.7	78.9	82.1
66	82.9	81	84.4	81.2	79.4	82.4
67	83.2	81.4	84.6	81.6	80	82.8
68	83.6	81.8	84.9	82.1	80.5	83.2
69	83.9	82.2	85.1	82.6	81.1	83.6
70	84.2	82.6	85.4	83.1	81.7	84.1
71	84.6	83	85.6	83.6	82.2	84.5
72	84.9	83.5	85.9	84.1	82.8	84.9
73	85.3	83.9	86.1	84.6	83.4	85.4
74	85.6	84.4	86.4	85.2	84	85.9
75	86	84.8	86.7	85.7	84.7	86.4
76	86.4	85.3	87	86.3	85.3	86.9
77	86.8	85.8	87.4	86.9	86	87.4
78	87.2	86.3	87.7	87.5	86.7	88
79	87.7	86.8	88.1	88.1	87.4	88.5
80	88.1	87.4	88.5	88.8	88	89.1
81	88.6	87.9	89	89.4	88.7	89.7
82	89.1	88.5	89.4	90	89.4	90.3
83	89.7	89.1	89.9	90.6	90.1	90.9
84	90.2	89.7	90.5	91.3	90.8	91.5
85	90.8	90.4	91	91.9	91.5	92.1
86	91.4	91	91.6	92.6	92.2	92.7
87	92.1	91.7	92.2	93.3	92.9	93.4
88	92.7	92.4	92.8	94	93.7	94.1
89	93.4	93.1	93.5	94.7	94.4	94.8
90	94	93.8	94.1	95.4	95.2	95.5
91	94.8	94.5	94.8	96.1	96	96.2
92	95.5	95.3	95.6	96.9	96.7	96.9
93	96.3	96.1	96.3	97.6	97.5	97.7
94	97	96.9	97.1	98.4	98.3	98.4
95	97.8	97.7	97.9	99.2	99.1	99.2
96	98.6	98.5	98.7	100	99.9	100
97	99.5	99.4	99.5	100.8	100.7	100.9
98	100.3	100.2	100.4	101.7	101.5	101.7
99	101.2	101.1	101.3	102.5	102.3	102.6
100	102.1	102	102.2	103.4	103.1	103.5

Odds of living to age in Hungary vs South Africa

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 88.6% in Hungary and 68.7% in South Africa are expected to survive till at least 60 years old, 74.2% and 51.6% will live to 70 years or older, 51.3% and 30.2% to 80+ years, and 17.7% and 11.3% 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 Africa
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	97.8%	97.6%	98.1%
2	99.7%	99.7%	99.7%	97.5%	97.2%	97.8%
3	99.7%	99.7%	99.7%	97.2%	96.9%	97.6%
4	99.7%	99.7%	99.7%	97.1%	96.8%	97.4%
5	99.7%	99.6%	99.7%	97%	96.7%	97.4%
6	99.7%	99.6%	99.7%	96.9%	96.6%	97.3%
7	99.7%	99.6%	99.7%	96.9%	96.5%	97.3%
8	99.6%	99.6%	99.7%	96.8%	96.5%	97.2%
9	99.6%	99.6%	99.7%	96.8%	96.4%	97.2%
10	99.6%	99.6%	99.7%	96.8%	96.4%	97.2%
11	99.6%	99.6%	99.6%	96.7%	96.3%	97.1%
12	99.6%	99.6%	99.6%	96.7%	96.3%	97.1%
13	99.6%	99.6%	99.6%	96.6%	96.2%	97.1%
14	99.6%	99.6%	99.6%	96.6%	96.2%	97%
15	99.6%	99.5%	99.6%	96.5%	96.1%	97%
16	99.6%	99.5%	99.6%	96.4%	96%	96.9%
17	99.5%	99.5%	99.6%	96.3%	95.9%	96.8%
18	99.5%	99.5%	99.6%	96.2%	95.7%	96.7%
19	99.5%	99.4%	99.6%	96.1%	95.6%	96.6%
20	99.5%	99.4%	99.5%	95.9%	95.4%	96.5%
21	99.4%	99.3%	99.5%	95.7%	95.1%	96.3%
22	99.4%	99.3%	99.5%	95.5%	94.9%	96.2%
23	99.4%	99.2%	99.5%	95.3%	94.6%	96%
24	99.3%	99.2%	99.5%	95.1%	94.3%	95.9%
25	99.3%	99.1%	99.4%	94.8%	94%	95.7%
26	99.3%	99.1%	99.4%	94.5%	93.6%	95.4%
27	99.2%	99%	99.4%	94.2%	93.2%	95.2%
28	99.2%	99%	99.4%	93.9%	92.8%	94.9%
29	99.1%	98.9%	99.4%	93.5%	92.4%	94.6%
30	99.1%	98.8%	99.3%	93.1%	91.9%	94.3%
31	99%	98.8%	99.3%	92.7%	91.5%	94%
32	99%	98.7%	99.3%	92.3%	91%	93.6%
33	98.9%	98.6%	99.2%	91.8%	90.4%	93.3%
34	98.8%	98.5%	99.2%	91.4%	89.9%	92.9%
35	98.8%	98.4%	99.1%	90.9%	89.3%	92.5%
36	98.7%	98.3%	99.1%	90.4%	88.7%	92%
37	98.6%	98.2%	99%	89.8%	88.1%	91.6%
38	98.5%	98.1%	99%	89.2%	87.4%	91.1%
39	98.4%	98%	98.9%	88.7%	86.7%	90.6%
40	98.3%	97.8%	98.8%	88.1%	86%	90.1%
41	98.2%	97.7%	98.7%	87.4%	85.3%	89.6%
42	98%	97.5%	98.6%	86.7%	84.5%	89%
43	97.9%	97.3%	98.5%	86%	83.7%	88.4%
44	97.7%	97.1%	98.4%	85.3%	82.9%	87.8%
45	97.5%	96.8%	98.3%	84.6%	82%	87.2%
46	97.3%	96.5%	98.1%	83.8%	81.1%	86.6%
47	97.1%	96.2%	98%	83%	80.1%	85.9%
48	96.8%	95.8%	97.8%	82.1%	79.1%	85.3%
49	96.4%	95.3%	97.6%	81.2%	78%	84.6%
50	96%	94.8%	97.3%	80.3%	76.9%	83.9%
51	95.6%	94.2%	97%	79.4%	75.7%	83.1%
52	95.1%	93.5%	96.7%	78.4%	74.5%	82.4%
53	94.5%	92.8%	96.4%	77.3%	73.2%	81.6%
54	93.9%	91.9%	96%	76.2%	71.9%	80.7%
55	93.2%	91%	95.5%	75.1%	70.5%	79.9%
56	92.4%	89.9%	95%	73.9%	69%	78.9%
57	91.6%	88.8%	94.5%	72.7%	67.5%	78%
58	90.6%	87.5%	93.9%	71.4%	65.9%	76.9%
59	89.7%	86.2%	93.3%	70%	64.3%	75.9%
60	88.6%	84.8%	92.6%	68.7%	62.6%	74.7%
61	87.5%	83.2%	91.8%	67.2%	60.9%	73.6%
62	86.3%	81.6%	91%	65.7%	59.1%	72.4%
63	85%	79.9%	90.2%	64.2%	57.3%	71.1%
64	83.6%	78.1%	89.3%	62.6%	55.4%	69.8%
65	82.2%	76.1%	88.3%	60.9%	53.4%	68.3%
66	80.7%	74.1%	87.3%	59.2%	51.4%	66.8%
67	79.2%	72.1%	86.2%	57.3%	49.3%	65.3%
68	77.5%	70.1%	85%	55.5%	47.2%	63.6%
69	75.9%	67.9%	83.8%	53.5%	45.1%	61.9%
70	74.2%	65.8%	82.5%	51.6%	42.9%	60%
71	72.4%	63.5%	81.1%	49.6%	40.8%	58.2%
72	70.5%	61.2%	79.6%	47.5%	38.7%	56.2%
73	68.6%	58.9%	78%	45.5%	36.6%	54.2%
74	66.5%	56.4%	76.3%	43.4%	34.4%	52.1%
75	64.4%	53.9%	74.4%	41.2%	32.3%	50%
76	62.1%	51.3%	72.4%	39%	30.1%	47.7%
77	59.6%	48.6%	70.1%	36.8%	28%	45.4%
78	57%	45.7%	67.7%	34.6%	25.9%	43%
79	54.3%	42.9%	65%	32.3%	23.9%	40.6%
80	51.3%	39.9%	62.1%	30.2%	22%	38.2%
81	48.2%	36.8%	58.9%	28.1%	20.2%	35.8%
82	44.9%	33.7%	55.4%	26%	18.5%	33.4%
83	41.6%	30.7%	51.7%	24%	16.8%	31%
84	38.1%	27.6%	47.8%	22.1%	15.2%	28.6%
85	34.6%	24.6%	43.7%	20.1%	13.7%	26.3%
86	31%	21.7%	39.6%	18.2%	12.2%	24%
87	27.5%	18.9%	35.4%	16.4%	10.8%	21.7%
88	24.1%	16.3%	31.2%	14.6%	9.51%	19.4%
89	20.8%	13.8%	27.2%	12.9%	8.29%	17.3%
90	17.7%	11.5%	23.2%	11.3%	7.18%	15.2%
91	14.8%	9.39%	19.5%	9.86%	6.16%	13.3%
92	12%	7.51%	16%	8.49%	5.25%	11.5%
93	9.59%	5.84%	12.9%	7.24%	4.43%	9.84%
94	7.46%	4.44%	10.1%	6.09%	3.7%	8.3%
95	5.67%	3.31%	7.72%	5.06%	3.06%	6.91%
96	4.21%	2.42%	5.76%	4.15%	2.5%	5.67%
97	3.03%	1.71%	4.17%	3.36%	2.02%	4.59%
98	2.12%	1.18%	2.92%	2.68%	1.62%	3.67%
99	1.43%	0.79%	1.99%	2.11%	1.28%	2.88%
100	0.94%	0.51%	1.3%	1.63%	1%	2.22%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.27% in the birth year in Hungary and 2.19% in South Africa, 0.05% vs 0.44% at age 30, 1.28% vs 2.08% at 60, and 6.09% vs 6.96% at 80.

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

Table

Age	Probability of dying
	Hungary			South Africa
	Average	Male	Female	Average	Male	Female
0	0.27%	0.29%	0.25%	2.19%	2.44%	1.93%
1	0.02%	0.02%	0.03%	0.35%	0.38%	0.32%
2	0.02%	0.02%	0.01%	0.22%	0.25%	0.2%
3	0.01%	0.01%	0.01%	0.15%	0.17%	0.12%
4	0.01%	0.01%	0.008%	0.1%	0.11%	0.08%
5	0.008%	0.009%	0.007%	0.07%	0.08%	0.06%
6	0.007%	0.006%	0.008%	0.05%	0.06%	0.04%
7	0.007%	0.007%	0.007%	0.04%	0.05%	0.04%
8	0.008%	0.01%	0.006%	0.04%	0.05%	0.03%
9	0.01%	0.01%	0.009%	0.04%	0.05%	0.03%
10	0.008%	0.009%	0.008%	0.04%	0.05%	0.03%
11	0.007%	0.008%	0.005%	0.04%	0.05%	0.04%
12	0.009%	0.01%	0.006%	0.05%	0.06%	0.04%
13	0.01%	0.01%	0.008%	0.06%	0.07%	0.05%
14	0.01%	0.02%	0.01%	0.07%	0.09%	0.06%
15	0.01%	0.02%	0.01%	0.09%	0.1%	0.07%
16	0.02%	0.02%	0.01%	0.11%	0.12%	0.09%
17	0.02%	0.03%	0.01%	0.12%	0.15%	0.1%
18	0.03%	0.04%	0.02%	0.14%	0.18%	0.11%
19	0.03%	0.05%	0.02%	0.16%	0.2%	0.13%
20	0.03%	0.05%	0.02%	0.19%	0.23%	0.14%
21	0.03%	0.04%	0.02%	0.21%	0.26%	0.15%
22	0.03%	0.04%	0.02%	0.23%	0.29%	0.17%
23	0.03%	0.05%	0.02%	0.25%	0.32%	0.18%
24	0.04%	0.05%	0.02%	0.28%	0.35%	0.2%
25	0.04%	0.05%	0.02%	0.3%	0.38%	0.23%
26	0.04%	0.06%	0.02%	0.33%	0.41%	0.25%
27	0.04%	0.06%	0.02%	0.36%	0.44%	0.28%
28	0.05%	0.07%	0.03%	0.39%	0.47%	0.31%
29	0.05%	0.07%	0.03%	0.41%	0.5%	0.33%
30	0.05%	0.07%	0.03%	0.44%	0.52%	0.36%
31	0.06%	0.08%	0.04%	0.46%	0.55%	0.38%
32	0.07%	0.09%	0.04%	0.49%	0.58%	0.4%
33	0.07%	0.09%	0.04%	0.51%	0.61%	0.42%
34	0.07%	0.1%	0.05%	0.54%	0.64%	0.44%
35	0.08%	0.11%	0.06%	0.57%	0.67%	0.46%
36	0.09%	0.12%	0.06%	0.6%	0.71%	0.49%
37	0.09%	0.12%	0.06%	0.63%	0.74%	0.51%
38	0.1%	0.13%	0.07%	0.66%	0.78%	0.54%
39	0.11%	0.14%	0.08%	0.69%	0.82%	0.57%
40	0.12%	0.16%	0.08%	0.73%	0.86%	0.6%
41	0.14%	0.18%	0.09%	0.76%	0.9%	0.63%
42	0.16%	0.2%	0.11%	0.8%	0.95%	0.65%
43	0.17%	0.22%	0.12%	0.84%	1.01%	0.68%
44	0.19%	0.26%	0.13%	0.88%	1.07%	0.7%
45	0.23%	0.3%	0.15%	0.93%	1.13%	0.73%
46	0.27%	0.35%	0.18%	0.98%	1.2%	0.75%
47	0.31%	0.41%	0.2%	1.03%	1.28%	0.78%
48	0.35%	0.48%	0.22%	1.08%	1.35%	0.8%
49	0.41%	0.56%	0.26%	1.13%	1.44%	0.84%
50	0.47%	0.64%	0.3%	1.19%	1.52%	0.87%
51	0.52%	0.72%	0.32%	1.25%	1.62%	0.91%
52	0.59%	0.81%	0.36%	1.32%	1.72%	0.96%
53	0.66%	0.91%	0.42%	1.4%	1.83%	1.02%
54	0.74%	1.02%	0.47%	1.49%	1.94%	1.09%
55	0.83%	1.14%	0.51%	1.58%	2.07%	1.16%
56	0.92%	1.28%	0.56%	1.68%	2.2%	1.24%
57	1.01%	1.42%	0.62%	1.78%	2.33%	1.32%
58	1.1%	1.54%	0.68%	1.88%	2.47%	1.39%
59	1.18%	1.65%	0.74%	1.98%	2.61%	1.47%
60	1.28%	1.8%	0.8%	2.08%	2.76%	1.55%
61	1.38%	1.94%	0.87%	2.2%	2.93%	1.65%
62	1.47%	2.05%	0.94%	2.34%	3.11%	1.75%
63	1.61%	2.29%	1.02%	2.5%	3.32%	1.88%
64	1.75%	2.53%	1.09%	2.68%	3.55%	2.03%
65	1.81%	2.63%	1.14%	2.88%	3.79%	2.19%
66	1.88%	2.71%	1.23%	3.08%	4.04%	2.37%
67	2.02%	2.87%	1.37%	3.28%	4.28%	2.55%
68	2.14%	3.02%	1.47%	3.48%	4.5%	2.74%
69	2.25%	3.19%	1.56%	3.67%	4.72%	2.92%
70	2.4%	3.4%	1.67%	3.87%	4.95%	3.12%
71	2.58%	3.63%	1.82%	4.09%	5.2%	3.33%
72	2.77%	3.88%	2.01%	4.34%	5.49%	3.57%
73	2.99%	4.15%	2.21%	4.64%	5.83%	3.85%
74	3.24%	4.45%	2.45%	4.98%	6.22%	4.17%
75	3.55%	4.81%	2.75%	5.35%	6.64%	4.53%
76	3.94%	5.31%	3.09%	5.71%	7.05%	4.89%
77	4.38%	5.85%	3.48%	6.06%	7.42%	5.26%
78	4.84%	6.33%	3.95%	6.37%	7.73%	5.61%
79	5.4%	6.91%	4.53%	6.67%	8%	5.94%
80	6.09%	7.68%	5.2%	6.96%	8.26%	6.28%
81	6.77%	8.41%	5.89%	7.3%	8.57%	6.66%
82	7.51%	9.13%	6.67%	7.71%	8.97%	7.1%
83	8.38%	9.98%	7.59%	8.21%	9.46%	7.62%
84	9.27%	10.9%	8.51%	8.78%	10%	8.21%
85	10.2%	11.8%	9.49%	9.43%	10.7%	8.88%
86	11.3%	12.8%	10.6%	10.1%	11.4%	9.6%
87	12.4%	14%	11.8%	10.8%	12.1%	10.3%
88	13.6%	15.3%	12.9%	11.5%	12.8%	11.1%
89	15%	16.7%	14.4%	12.3%	13.5%	11.8%
90	16.7%	18.3%	16.1%	13%	14.1%	12.6%
91	18.4%	20%	17.8%	13.8%	14.8%	13.5%
92	20.3%	22.1%	19.7%	14.8%	15.6%	14.5%
93	22.2%	24.1%	21.6%	15.9%	16.5%	15.6%
94	24%	25.4%	23.5%	16.9%	17.3%	16.8%
95	25.8%	26.9%	25.4%	18%	18.2%	17.9%
96	28%	29.2%	27.6%	19%	19.1%	19%
97	30.2%	31.2%	29.9%	20.2%	20%	20.2%
98	32.3%	33.2%	32.1%	21.3%	21%	21.5%
99	34.6%	35.3%	34.4%	22.5%	22%	22.8%
100	36.8%	37.4%	36.6%	23.6%	22.9%	23.9%

Death rate by age in Hungary compared to South Africa

In Hungary, the most common age of death is 84, compared to 77 in South Africa. The median age of death is 80.4 in Hungary and 70.8 in South Africa — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Hungary			South Africa
	Total	Male	Female	Total	Male	Female
0	271.5	290.3	251.6	2,192	2,441	1,934
1	24.7	23.2	26.3	343	375	310
2	16.1	20.1	12	218.6	243.8	192.5
3	12.1	12.3	11.9	141.9	161.3	121.7
4	9.76	11.8	7.54	95.3	110.3	80
5	8.09	9.06	7.07	67.2	79	55.4
6	7.12	5.85	8.46	51.2	60.6	41.7
7	7.08	7.1	7.06	42.2	50.2	34.1
8	8.36	10.3	6.34	37.9	45.2	30.6
9	10.1	11.3	8.86	37	43.9	30
10	8.44	9.09	7.74	38.7	45.8	31.6
11	6.7	8.01	5.31	43	50.5	35.3
12	8.56	11.3	5.71	49.7	58.1	41.1
13	10.8	13.6	7.82	58.9	68.7	49
14	12.4	15.1	9.53	70.7	82.4	58.8
15	13.8	17.7	9.68	85	99.4	70.2
16	16.7	22.3	10.9	101.4	119.6	82.9
17	22.5	29.9	14.7	119.5	142.6	96
18	29.2	40.9	17	138.5	167.7	108.8
19	33.6	48.1	18.3	158	194.2	121.2
20	33.7	46.4	20.3	177.8	221.4	133.1
21	33	43.7	21.5	198.1	249	145.6
22	32.9	44.1	21.1	219.2	276.6	159.6
23	34.2	48.2	19.4	241.4	304	176
24	36.4	52.5	19.2	264.7	331	195.1
25	38.3	53.9	21.5	289.1	358	217.1
26	39.3	56	21.3	314	384	241.5
27	41.7	60.7	21.6	339	410	266.7
28	47.4	67.4	25.9	363	434	291.3
29	50.4	70.4	28.8	386	458	314
30	48.8	68.4	27.8	408	481	335
31	56.5	76.5	35	429	504	355
32	64.7	85.9	42	450	527	374
33	65.3	87.5	41.3	471	551	392
34	72.8	95	48.8	493	575	410
35	82.6	106.1	57.3	515	600	429
36	86.7	114	57.2	538	626	449
37	91.6	120.6	60.1	562	653	470
38	101.8	128.2	73.1	587	680	492
39	107	136.8	75	613	708	515
40	116.2	153	76.9	639	738	538
41	136.8	179	92.1	667	770	560
42	153.4	198.8	106	695	804	581
43	168.8	218.7	116.5	724	842	601
44	189.8	249.5	127.5	755	884	619
45	219.6	290.2	146.8	786	928	635
46	258.4	339	175.1	818	974	652
47	297.3	398	192.6	850	1,022	668
48	341	464	212.8	883	1,071	686
49	394	532	251	918	1,120	707
50	450	603	288.7	954	1,171	731
51	500	680	313	994	1,223	760
52	560	760	352	1,037	1,279	795
53	628	845	402	1,085	1,337	835
54	697	938	447	1,137	1,397	881
55	769	1,041	488	1,190	1,459	929
56	847	1,151	532	1,242	1,519	978
57	925	1,258	584	1,292	1,575	1,026
58	995	1,348	637	1,339	1,629	1,072
59	1,056	1,420	688	1,384	1,679	1,116
60	1,134	1,524	742	1,431	1,730	1,162
61	1,206	1,614	799	1,482	1,782	1,211
62	1,264	1,677	857	1,540	1,839	1,269
63	1,369	1,830	921	1,606	1,901	1,337
64	1,462	1,972	974	1,679	1,965	1,415
65	1,490	2,000	1,009	1,752	2,025	1,500
66	1,520	2,006	1,070	1,822	2,074	1,585
67	1,602	2,067	1,180	1,882	2,108	1,667
68	1,663	2,118	1,253	1,929	2,124	1,740
69	1,711	2,168	1,304	1,966	2,128	1,807
70	1,778	2,237	1,375	1,997	2,124	1,871
71	1,865	2,307	1,479	2,028	2,121	1,936
72	1,957	2,374	1,599	2,066	2,123	2,008
73	2,051	2,442	1,723	2,112	2,132	2,089
74	2,153	2,511	1,867	2,161	2,141	2,176
75	2,284	2,592	2,044	2,204	2,144	2,262
76	2,449	2,724	2,235	2,228	2,126	2,335
77	2,610	2,840	2,442	2,228	2,080	2,386
78	2,759	2,895	2,678	2,202	2,006	2,410
79	2,932	2,961	2,946	2,156	1,914	2,411
80	3,126	3,064	3,230	2,102	1,819	2,399
81	3,263	3,096	3,467	2,052	1,732	2,383
82	3,376	3,081	3,693	2,008	1,656	2,371
83	3,485	3,058	3,921	1,972	1,591	2,363
84	3,532	2,998	4,063	1,937	1,530	2,353
85	3,529	2,901	4,148	1,897	1,467	2,335
86	3,500	2,779	4,202	1,845	1,397	2,299
87	3,416	2,642	4,164	1,775	1,315	2,238
88	3,276	2,490	4,033	1,686	1,220	2,150
89	3,133	2,304	3,918	1,585	1,118	2,045
90	2,952	2,096	3,745	1,476	1,014	1,924
91	2,712	1,880	3,470	1,363	912	1,794
92	2,445	1,662	3,153	1,257	818	1,670
93	2,133	1,406	2,782	1,148	729	1,540
94	1,787	1,128	2,368	1,031	642	1,393
95	1,464	892	1,963	909	558	1,236
96	1,180	706	1,592	789	478	1,077
97	915	535	1,245	677	406	928
98	684	391	938	572	340	787
99	495	277.8	683	475	280.8	655
100	217.8	97.2	320	359	204.6	501

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 Africa 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 Africa: Quantitative Profiles

By topic vs comparisons:

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