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

Life expectancy by current age

Chart Table

Hungary

Male

Female

South Africa

Male

Female

1x

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

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 70.6 in South Africa, rising to 82.6 and 80.7 at 65, and to 88.1 and 88.8 at 80 — higher than the 77.5 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

South Africa

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 68.7% in South Africa are expected to live past 60, 74.2% and 51.6% past 70, 51.3% and 30.2% past 80, and only 17.7% and 11.3% 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 Africa

Male

Female

1x

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

This chart displays the probability of dying at any given age in Hungary compared to South Africa, as 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.

Death rate by age in Hungary vs South Africa

Chart Table

Hungary

Male

Female

South Africa

Male

Female

1x

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

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 77 in South Africa. The median age of death is 80.4 in Hungary and 70.8 in South Africa, 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 Africa more than their death rates.

Life expectancy in other countries

+ -

1x