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

Life expectancy by current age

Chart Table

Hungary

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			South Sudan
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	101.7	101.6	101.8
99	101.2	101.1	101.3	100.7	100.6	100.8
98	100.3	100.2	100.4	99.8	99.6	99.9
97	99.5	99.4	99.5	98.9	98.7	99
96	98.6	98.5	98.7	98.1	97.8	98.1
95	97.8	97.7	97.9	97.2	96.9	97.3
94	97	96.9	97.1	96.3	96	96.4
93	96.3	96.1	96.3	95.5	95.1	95.6
92	95.5	95.3	95.6	94.7	94.2	94.8
91	94.8	94.5	94.8	93.8	93.4	94
90	94	93.8	94.1	93	92.6	93.2
89	93.4	93.1	93.5	92.2	91.8	92.4
88	92.7	92.4	92.8	91.4	91	91.6
87	92.1	91.7	92.2	90.6	90.2	90.8
86	91.4	91	91.6	89.9	89.4	90.1
85	90.8	90.4	91	89.1	88.7	89.4
84	90.2	89.7	90.5	88.4	87.9	88.6
83	89.7	89.1	89.9	87.7	87.2	87.9
82	89.1	88.5	89.4	87	86.5	87.2
81	88.6	87.9	89	86.3	85.8	86.6
80	88.1	87.4	88.5	85.6	85.1	85.9
79	87.7	86.8	88.1	85	84.5	85.3
78	87.2	86.3	87.7	84.4	83.8	84.7
77	86.8	85.8	87.4	83.8	83.2	84.2
76	86.4	85.3	87	83.2	82.6	83.6
75	86	84.8	86.7	82.6	82	83.1
74	85.6	84.4	86.4	82.1	81.5	82.6
73	85.3	83.9	86.1	81.6	80.9	82.1
72	84.9	83.5	85.9	81.1	80.4	81.6
71	84.6	83	85.6	80.6	79.8	81.1
70	84.2	82.6	85.4	80.1	79.3	80.7
69	83.9	82.2	85.1	79.7	78.9	80.2
68	83.6	81.8	84.9	79.2	78.4	79.8
67	83.2	81.4	84.6	78.8	77.9	79.5
66	82.9	81	84.4	78.4	77.5	79.1
65	82.6	80.5	84.2	78	77.1	78.7
64	82.3	80.1	84	77.6	76.7	78.4
63	82	79.8	83.8	77.3	76.3	78.1
62	81.7	79.4	83.6	76.9	75.9	77.8
61	81.4	79.1	83.4	76.6	75.5	77.5
60	81.2	78.7	83.2	76.3	75.1	77.2
59	80.9	78.4	83	76	74.8	76.9
58	80.7	78.1	82.8	75.7	74.5	76.7
57	80.4	77.8	82.7	75.4	74.1	76.4
56	80.2	77.5	82.5	75.1	73.8	76.2
55	80	77.3	82.4	74.8	73.5	76
54	79.8	77.1	82.3	74.5	73.2	75.7
53	79.6	76.8	82.2	74.3	72.9	75.5
52	79.5	76.6	82	74	72.6	75.3
51	79.3	76.5	82	73.8	72.3	75.1
50	79.2	76.3	81.9	73.5	72	74.8
49	79.1	76.1	81.8	73.3	71.7	74.6
48	79	76	81.7	73	71.4	74.4
47	78.9	75.9	81.6	72.8	71.2	74.3
46	78.8	75.8	81.6	72.6	70.9	74.1
45	78.7	75.7	81.5	72.4	70.6	73.9
44	78.6	75.6	81.5	72.1	70.4	73.7
43	78.6	75.5	81.4	71.9	70.1	73.5
42	78.5	75.5	81.4	71.7	69.9	73.3
41	78.5	75.4	81.3	71.5	69.6	73.1
40	78.4	75.4	81.3	71.2	69.4	72.9
39	78.4	75.3	81.3	71	69.1	72.7
38	78.3	75.3	81.3	70.8	68.9	72.5
37	78.3	75.2	81.2	70.6	68.6	72.4
36	78.3	75.2	81.2	70.4	68.4	72.2
35	78.2	75.1	81.2	70.2	68.2	72
34	78.2	75.1	81.1	70	67.9	71.8
33	78.2	75.1	81.1	69.8	67.7	71.7
32	78.1	75	81.1	69.5	67.4	71.5
31	78.1	75	81.1	69.3	67.2	71.3
30	78.1	75	81.1	69.1	67	71.1
29	78.1	74.9	81.1	68.9	66.7	71
28	78	74.9	81	68.7	66.5	70.8
27	78	74.9	81	68.5	66.2	70.6
26	78	74.8	81	68.3	65.9	70.4
25	78	74.8	81	68	65.7	70.3
24	78	74.8	81	67.8	65.4	70.1
23	77.9	74.8	81	67.6	65.1	70
22	77.9	74.7	81	67.4	64.9	69.8
21	77.9	74.7	81	67.2	64.6	69.6
20	77.9	74.7	81	67	64.4	69.5
19	77.9	74.7	80.9	66.8	64.1	69.3
18	77.8	74.6	80.9	66.6	63.9	69.2
17	77.8	74.6	80.9	66.4	63.7	69
16	77.8	74.6	80.9	66.3	63.5	68.9
15	77.8	74.6	80.9	66.1	63.4	68.8
14	77.8	74.6	80.9	66	63.2	68.7
13	77.8	74.6	80.9	65.8	63.1	68.5
12	77.8	74.6	80.9	65.7	62.9	68.4
11	77.8	74.6	80.9	65.5	62.8	68.3
10	77.8	74.6	80.9	65.4	62.6	68.2
9	77.8	74.5	80.9	65.2	62.4	68
8	77.8	74.5	80.9	65	62.1	67.8
7	77.8	74.5	80.9	64.7	61.8	67.6
6	77.8	74.5	80.9	64.4	61.5	67.3
5	77.8	74.5	80.9	64	61.1	67
4	77.7	74.5	80.9	63.6	60.6	66.6
3	77.7	74.5	80.8	63.1	60.1	66.1
2	77.7	74.5	80.8	62.5	59.5	65.5
1	77.7	74.5	80.8	61.8	58.9	64.7
0	77.5	74.3	80.6	58	55	61

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 69.1 in South Sudan, rising to 82.6 and 78 at 65, and to 88.1 and 85.6 at 80 — higher than the 77.5 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Hungary			South Sudan
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	0.06%	0.02%	0.1%
99	1.43%	0.79%	1.99%	0.1%	0.03%	0.17%
98	2.12%	1.18%	2.92%	0.17%	0.05%	0.28%
97	3.03%	1.71%	4.17%	0.27%	0.1%	0.44%
96	4.21%	2.42%	5.76%	0.43%	0.16%	0.67%
95	5.67%	3.31%	7.72%	0.64%	0.27%	1%
94	7.46%	4.44%	10.1%	0.94%	0.44%	1.44%
93	9.59%	5.84%	12.9%	1.35%	0.67%	2.01%
92	12%	7.51%	16%	1.87%	1%	2.73%
91	14.8%	9.39%	19.5%	2.54%	1.45%	3.62%
90	17.7%	11.5%	23.2%	3.37%	2.03%	4.7%
89	20.8%	13.8%	27.2%	4.38%	2.76%	5.98%
88	24.1%	16.3%	31.2%	5.58%	3.65%	7.47%
87	27.5%	18.9%	35.4%	6.96%	4.7%	9.18%
86	31%	21.7%	39.6%	8.54%	5.92%	11.1%
85	34.6%	24.6%	43.7%	10.3%	7.31%	13.2%
84	38.1%	27.6%	47.8%	12.3%	8.88%	15.6%
83	41.6%	30.7%	51.7%	14.4%	10.6%	18%
82	44.9%	33.7%	55.4%	16.6%	12.5%	20.6%
81	48.2%	36.8%	58.9%	18.9%	14.5%	23.3%
80	51.3%	39.9%	62.1%	21.3%	16.6%	26.1%
79	54.3%	42.9%	65%	23.8%	18.8%	28.8%
78	57%	45.7%	67.7%	26.3%	21%	31.6%
77	59.6%	48.6%	70.1%	28.8%	23.3%	34.3%
76	62.1%	51.3%	72.4%	31.3%	25.6%	36.9%
75	64.4%	53.9%	74.4%	33.7%	27.9%	39.6%
74	66.5%	56.4%	76.3%	36.2%	30.2%	42.1%
73	68.6%	58.9%	78%	38.5%	32.5%	44.6%
72	70.5%	61.2%	79.6%	40.8%	34.7%	46.9%
71	72.4%	63.5%	81.1%	43%	36.9%	49.2%
70	74.2%	65.8%	82.5%	45.1%	39%	51.3%
69	75.9%	67.9%	83.8%	47.1%	41%	53.3%
68	77.5%	70.1%	85%	49.1%	42.9%	55.2%
67	79.2%	72.1%	86.2%	50.9%	44.8%	57%
66	80.7%	74.1%	87.3%	52.6%	46.6%	58.7%
65	82.2%	76.1%	88.3%	54.2%	48.3%	60.2%
64	83.6%	78.1%	89.3%	55.8%	49.9%	61.7%
63	85%	79.9%	90.2%	57.3%	51.5%	63.1%
62	86.3%	81.6%	91%	58.6%	53%	64.3%
61	87.5%	83.2%	91.8%	59.9%	54.4%	65.5%
60	88.6%	84.8%	92.6%	61.1%	55.7%	66.6%
59	89.7%	86.2%	93.3%	62.3%	57%	67.6%
58	90.6%	87.5%	93.9%	63.3%	58.2%	68.6%
57	91.6%	88.8%	94.5%	64.4%	59.3%	69.5%
56	92.4%	89.9%	95%	65.3%	60.4%	70.3%
55	93.2%	91%	95.5%	66.3%	61.5%	71.1%
54	93.9%	91.9%	96%	67.2%	62.5%	71.9%
53	94.5%	92.8%	96.4%	68%	63.5%	72.7%
52	95.1%	93.5%	96.7%	68.9%	64.5%	73.4%
51	95.6%	94.2%	97%	69.7%	65.4%	74%
50	96%	94.8%	97.3%	70.4%	66.3%	74.7%
49	96.4%	95.3%	97.6%	71.1%	67.1%	75.3%
48	96.8%	95.8%	97.8%	71.8%	67.9%	75.8%
47	97.1%	96.2%	98%	72.5%	68.6%	76.4%
46	97.3%	96.5%	98.1%	73.1%	69.4%	76.9%
45	97.5%	96.8%	98.3%	73.7%	70.1%	77.4%
44	97.7%	97.1%	98.4%	74.3%	70.8%	77.9%
43	97.9%	97.3%	98.5%	74.9%	71.5%	78.4%
42	98%	97.5%	98.6%	75.5%	72.1%	78.9%
41	98.2%	97.7%	98.7%	76.1%	72.8%	79.4%
40	98.3%	97.8%	98.8%	76.6%	73.4%	79.9%
39	98.4%	98%	98.9%	77.1%	74%	80.3%
38	98.5%	98.1%	99%	77.6%	74.6%	80.8%
37	98.6%	98.2%	99%	78.1%	75.2%	81.2%
36	98.7%	98.3%	99.1%	78.6%	75.8%	81.6%
35	98.8%	98.4%	99.1%	79.1%	76.3%	82%
34	98.8%	98.5%	99.2%	79.6%	76.9%	82.4%
33	98.9%	98.6%	99.2%	80%	77.4%	82.7%
32	99%	98.7%	99.3%	80.5%	77.9%	83.1%
31	99%	98.8%	99.3%	80.9%	78.5%	83.5%
30	99.1%	98.8%	99.3%	81.4%	79%	83.8%
29	99.1%	98.9%	99.4%	81.8%	79.5%	84.2%
28	99.2%	99%	99.4%	82.2%	80.1%	84.5%
27	99.2%	99%	99.4%	82.7%	80.6%	84.9%
26	99.3%	99.1%	99.4%	83.1%	81.1%	85.2%
25	99.3%	99.1%	99.4%	83.5%	81.6%	85.5%
24	99.3%	99.2%	99.5%	84%	82.2%	85.8%
23	99.4%	99.2%	99.5%	84.4%	82.7%	86.1%
22	99.4%	99.3%	99.5%	84.8%	83.2%	86.4%
21	99.4%	99.3%	99.5%	85.2%	83.7%	86.7%
20	99.5%	99.4%	99.5%	85.6%	84.2%	87%
19	99.5%	99.4%	99.6%	85.9%	84.7%	87.2%
18	99.5%	99.5%	99.6%	86.2%	85.1%	87.5%
17	99.5%	99.5%	99.6%	86.5%	85.4%	87.7%
16	99.6%	99.5%	99.6%	86.8%	85.7%	87.9%
15	99.6%	99.5%	99.6%	87.1%	86%	88.2%
14	99.6%	99.6%	99.6%	87.3%	86.3%	88.4%
13	99.6%	99.6%	99.6%	87.5%	86.6%	88.5%
12	99.6%	99.6%	99.6%	87.8%	86.8%	88.7%
11	99.6%	99.6%	99.6%	88%	87.1%	88.9%
10	99.6%	99.6%	99.7%	88.3%	87.4%	89.1%
9	99.6%	99.6%	99.7%	88.6%	87.8%	89.4%
8	99.6%	99.6%	99.7%	88.9%	88.2%	89.7%
7	99.7%	99.6%	99.7%	89.3%	88.6%	90%
6	99.7%	99.6%	99.7%	89.8%	89.2%	90.4%
5	99.7%	99.6%	99.7%	90.3%	89.8%	90.9%
4	99.7%	99.7%	99.7%	91%	90.6%	91.5%
3	99.7%	99.7%	99.7%	91.8%	91.4%	92.2%
2	99.7%	99.7%	99.7%	92.7%	92.3%	93.1%
1	99.7%	99.7%	99.7%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 61.1% in South Sudan are expected to live past 60, 74.2% and 45.1% past 70, 51.3% and 21.3% past 80, and only 17.7% and 3.37% 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 Sudan

Male

Female

1x

Age	Probability of dying
	Hungary			South Sudan
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	45.7%	49.1%	43.1%
99	34.6%	35.3%	34.4%	43.7%	47.1%	41%
98	32.3%	33.2%	32.1%	40.5%	45.5%	39.1%
97	30.2%	31.2%	29.9%	37.7%	43.8%	37.1%
96	28%	29.2%	27.6%	35.6%	41.9%	35%
95	25.8%	26.9%	25.4%	33.8%	39.8%	32.8%
94	24%	25.4%	23.5%	31.9%	37.5%	30.6%
93	22.2%	24.1%	21.6%	30%	35.2%	28.4%
92	20.3%	22.1%	19.7%	28.1%	33%	26.4%
91	18.4%	20%	17.8%	26.3%	30.8%	24.6%
90	16.7%	18.3%	16.1%	24.6%	28.6%	22.9%
89	15%	16.7%	14.4%	23%	26.4%	21.4%
88	13.6%	15.3%	12.9%	21.4%	24.3%	20%
87	12.4%	14%	11.8%	19.9%	22.4%	18.6%
86	11.3%	12.8%	10.6%	18.5%	20.6%	17.4%
85	10.2%	11.8%	9.49%	17.1%	19%	16.1%
84	9.27%	10.9%	8.51%	15.9%	17.6%	14.9%
83	8.38%	9.98%	7.59%	14.6%	16.3%	13.7%
82	7.51%	9.13%	6.67%	13.5%	15%	12.6%
81	6.77%	8.41%	5.89%	12.4%	13.8%	11.5%
80	6.09%	7.68%	5.2%	11.3%	12.7%	10.5%
79	5.4%	6.91%	4.53%	10.4%	11.7%	9.54%
78	4.84%	6.33%	3.95%	9.47%	10.7%	8.69%
77	4.38%	5.85%	3.48%	8.67%	9.8%	7.92%
76	3.94%	5.31%	3.09%	7.94%	9%	7.23%
75	3.55%	4.81%	2.75%	7.29%	8.28%	6.61%
74	3.24%	4.45%	2.45%	6.69%	7.61%	6.05%
73	2.99%	4.15%	2.21%	6.14%	6.99%	5.52%
72	2.77%	3.88%	2.01%	5.62%	6.41%	5.03%
71	2.58%	3.63%	1.82%	5.13%	5.87%	4.58%
70	2.4%	3.4%	1.67%	4.68%	5.37%	4.16%
69	2.25%	3.19%	1.56%	4.26%	4.91%	3.77%
68	2.14%	3.02%	1.47%	3.9%	4.5%	3.43%
67	2.02%	2.87%	1.37%	3.57%	4.14%	3.12%
66	1.88%	2.71%	1.23%	3.28%	3.83%	2.84%
65	1.81%	2.63%	1.14%	3.02%	3.54%	2.6%
64	1.75%	2.53%	1.09%	2.78%	3.28%	2.37%
63	1.61%	2.29%	1.02%	2.56%	3.04%	2.17%
62	1.47%	2.05%	0.94%	2.35%	2.81%	1.97%
61	1.38%	1.94%	0.87%	2.16%	2.59%	1.8%
60	1.28%	1.8%	0.8%	1.98%	2.39%	1.64%
59	1.18%	1.65%	0.74%	1.82%	2.21%	1.5%
58	1.1%	1.54%	0.68%	1.69%	2.06%	1.39%
57	1.01%	1.42%	0.62%	1.58%	1.93%	1.29%
56	0.92%	1.28%	0.56%	1.49%	1.82%	1.21%
55	0.83%	1.14%	0.51%	1.42%	1.73%	1.15%
54	0.74%	1.02%	0.47%	1.35%	1.65%	1.09%
53	0.66%	0.91%	0.42%	1.28%	1.57%	1.03%
52	0.59%	0.81%	0.36%	1.21%	1.49%	0.97%
51	0.52%	0.72%	0.32%	1.14%	1.41%	0.91%
50	0.47%	0.64%	0.3%	1.07%	1.32%	0.85%
49	0.41%	0.56%	0.26%	1%	1.24%	0.79%
48	0.35%	0.48%	0.22%	0.95%	1.17%	0.75%
47	0.31%	0.41%	0.2%	0.9%	1.11%	0.71%
46	0.27%	0.35%	0.18%	0.86%	1.06%	0.69%
45	0.23%	0.3%	0.15%	0.84%	1.02%	0.67%
44	0.19%	0.26%	0.13%	0.81%	0.99%	0.66%
43	0.17%	0.22%	0.12%	0.79%	0.96%	0.64%
42	0.16%	0.2%	0.11%	0.77%	0.92%	0.63%
41	0.14%	0.18%	0.09%	0.74%	0.89%	0.61%
40	0.12%	0.16%	0.08%	0.71%	0.85%	0.58%
39	0.11%	0.14%	0.08%	0.68%	0.82%	0.56%
38	0.1%	0.13%	0.07%	0.65%	0.79%	0.53%
37	0.09%	0.12%	0.06%	0.63%	0.76%	0.51%
36	0.09%	0.12%	0.06%	0.61%	0.74%	0.49%
35	0.08%	0.11%	0.06%	0.6%	0.73%	0.48%
34	0.07%	0.1%	0.05%	0.59%	0.71%	0.47%
33	0.07%	0.09%	0.04%	0.58%	0.7%	0.46%
32	0.07%	0.09%	0.04%	0.57%	0.69%	0.45%
31	0.06%	0.08%	0.04%	0.56%	0.68%	0.44%
30	0.05%	0.07%	0.03%	0.55%	0.67%	0.43%
29	0.05%	0.07%	0.03%	0.54%	0.66%	0.42%
28	0.05%	0.07%	0.03%	0.53%	0.65%	0.41%
27	0.04%	0.06%	0.02%	0.52%	0.65%	0.39%
26	0.04%	0.06%	0.02%	0.52%	0.65%	0.38%
25	0.04%	0.05%	0.02%	0.51%	0.65%	0.37%
24	0.04%	0.05%	0.02%	0.51%	0.65%	0.36%
23	0.03%	0.05%	0.02%	0.5%	0.65%	0.35%
22	0.03%	0.04%	0.02%	0.49%	0.63%	0.34%
21	0.03%	0.04%	0.02%	0.47%	0.61%	0.33%
20	0.03%	0.05%	0.02%	0.44%	0.57%	0.32%
19	0.03%	0.05%	0.02%	0.41%	0.52%	0.3%
18	0.03%	0.04%	0.02%	0.38%	0.47%	0.29%
17	0.02%	0.03%	0.01%	0.35%	0.42%	0.27%
16	0.02%	0.02%	0.01%	0.32%	0.37%	0.26%
15	0.01%	0.02%	0.01%	0.29%	0.34%	0.24%
14	0.01%	0.02%	0.01%	0.27%	0.31%	0.22%
13	0.01%	0.01%	0.008%	0.26%	0.3%	0.22%
12	0.009%	0.01%	0.006%	0.26%	0.3%	0.22%
11	0.007%	0.008%	0.005%	0.27%	0.32%	0.22%
10	0.008%	0.009%	0.008%	0.3%	0.35%	0.24%
9	0.01%	0.01%	0.009%	0.34%	0.4%	0.27%
8	0.008%	0.01%	0.006%	0.39%	0.47%	0.31%
7	0.007%	0.007%	0.007%	0.45%	0.54%	0.36%
6	0.007%	0.006%	0.008%	0.53%	0.63%	0.43%
5	0.008%	0.009%	0.007%	0.62%	0.71%	0.53%
4	0.01%	0.01%	0.008%	0.73%	0.8%	0.65%
3	0.01%	0.01%	0.01%	0.85%	0.9%	0.8%
2	0.02%	0.02%	0.01%	0.99%	0.99%	0.98%
1	0.02%	0.02%	0.03%	1.16%	1.1%	1.22%
0	0.27%	0.29%	0.25%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 6.22% in South Sudan, 0.05% vs 0.55% at age 30, 1.28% vs 1.98% at 60, and 6.09% vs 11.3% at 80.

Death rate by age in Hungary vs South Sudan

Chart Table

Hungary

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Hungary			South Sudan
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	0	0	0
99	495	277.8	683	44.4	13.7	68.6
98	684	391	938	69.1	24.4	107.5
97	915	535	1,245	103.4	41.7	162.1
96	1,180	706	1,592	151.7	68.7	235
95	1,464	892	1,963	217.2	108.2	328
94	1,787	1,128	2,368	301	163.5	440
93	2,133	1,406	2,782	404	237	571
92	2,445	1,662	3,153	527	331	722
91	2,712	1,880	3,470	670	447	890
90	2,952	2,096	3,745	831	582	1,077
89	3,133	2,304	3,918	1,007	729	1,279
88	3,276	2,490	4,033	1,193	887	1,492
87	3,416	2,642	4,164	1,386	1,052	1,712
86	3,500	2,779	4,202	1,579	1,221	1,929
85	3,529	2,901	4,148	1,767	1,392	2,135
84	3,532	2,998	4,063	1,944	1,562	2,321
83	3,485	3,058	3,921	2,103	1,725	2,478
82	3,376	3,081	3,693	2,237	1,874	2,600
81	3,263	3,096	3,467	2,342	2,003	2,685
80	3,126	3,064	3,230	2,417	2,108	2,734
79	2,932	2,961	2,946	2,465	2,188	2,750
78	2,759	2,895	2,678	2,490	2,246	2,742
77	2,610	2,840	2,442	2,497	2,284	2,714
76	2,449	2,724	2,235	2,485	2,305	2,672
75	2,284	2,592	2,044	2,459	2,311	2,615
74	2,153	2,511	1,867	2,419	2,300	2,546
73	2,051	2,442	1,723	2,364	2,272	2,461
72	1,957	2,374	1,599	2,292	2,226	2,363
71	1,865	2,307	1,479	2,207	2,164	2,252
70	1,778	2,237	1,375	2,111	2,091	2,133
69	1,711	2,168	1,304	2,011	2,013	2,011
68	1,663	2,118	1,253	1,911	1,933	1,891
67	1,602	2,067	1,180	1,815	1,855	1,777
66	1,520	2,006	1,070	1,724	1,782	1,668
65	1,490	2,000	1,009	1,636	1,710	1,565
64	1,462	1,972	974	1,551	1,639	1,464
63	1,369	1,830	921	1,465	1,565	1,366
62	1,264	1,677	857	1,378	1,488	1,270
61	1,206	1,614	799	1,292	1,409	1,178
60	1,134	1,524	742	1,210	1,332	1,092
59	1,056	1,420	688	1,136	1,260	1,015
58	995	1,348	637	1,072	1,197	950
57	925	1,258	584	1,018	1,145	896
56	847	1,151	532	976	1,102	853
55	769	1,041	488	939	1,066	816
54	697	938	447	906	1,033	782
53	628	845	402	872	999	748
52	560	760	352	835	961	711
51	500	680	313	795	919	672
50	450	603	288.7	753	875	633
49	394	532	251	713	832	596
48	341	464	212.8	679	794	566
47	297.3	398	192.6	651	762	543
46	258.4	339	175.1	631	737	528
45	219.6	290.2	146.8	616	717	519
44	189.8	249.5	127.5	604	700	512
43	168.8	218.7	116.5	593	685	506
42	153.4	198.8	106	580	667	496
41	136.8	179	92.1	564	648	483
40	116.2	153	76.9	545	628	467
39	107	136.8	75	526	608	449
38	101.8	128.2	73.1	508	590	431
37	91.6	120.6	60.1	493	575	415
36	86.7	114	57.2	481	563	402
35	82.6	106.1	57.3	473	555	392
34	72.8	95	48.8	466	549	384
33	65.3	87.5	41.3	461	544	377
32	64.7	85.9	42	456	538	372
31	56.5	76.5	35	451	533	366
30	48.8	68.4	27.8	446	527	359
29	50.4	70.4	28.8	440	523	352
28	47.4	67.4	25.9	436	522	344
27	41.7	60.7	21.6	432	523	335
26	39.3	56	21.3	429	527	325
25	38.3	53.9	21.5	427	532	316
24	36.4	52.5	19.2	424	536	307
23	34.2	48.2	19.4	420	535	298.4
22	32.9	44.1	21.1	412	527	290.7
21	33	43.7	21.5	398	508	283.3
20	33.7	46.4	20.3	379	478	275.1
19	33.6	48.1	18.3	354	439	265.4
18	29.2	40.9	17	327	397	253.5
17	22.5	29.9	14.7	299.3	357	239.3
16	16.7	22.3	10.9	273.6	321	224.4
15	13.8	17.7	9.68	251.3	290.8	210.1
14	12.4	15.1	9.53	235.1	270	198.7
13	10.8	13.6	7.82	226.8	260.1	192
12	8.56	11.3	5.71	227.9	262.8	191.3
11	6.7	8.01	5.31	239.4	279	198.2
10	8.44	9.09	7.74	262	309	213.5
9	10.1	11.3	8.86	296.8	353	238.8
8	8.36	10.3	6.34	344	411	275.7
7	7.08	7.1	7.06	404	480	326
6	7.12	5.85	8.46	477	558	393
5	8.09	9.06	7.07	561	641	479
4	9.76	11.8	7.54	660	727	591
3	12.1	12.3	11.9	776	818	733
2	16.1	20.1	12	915	916	915
1	24.7	23.2	26.3	1,086	1,027	1,147
0	271.5	290.3	251.6	6,215	6,667	5,754

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 0 in South Sudan. The median age of death is 80.4 in Hungary and 67.5 in South Sudan, 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 Sudan more than their death rates.

Life expectancy in other countries

+ -

1x