Life Expectancy in China vs Hungary (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Hungary

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Hungary
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102.1	102	102.2
99	101	100.6	101.1	101.2	101.1	101.3
98	100.1	99.6	100.2	100.3	100.2	100.4
97	99.3	98.7	99.4	99.5	99.4	99.5
96	98.4	97.9	98.6	98.6	98.5	98.7
95	97.6	97.1	97.8	97.8	97.7	97.9
94	96.8	96.3	97	97	96.9	97.1
93	96	95.5	96.2	96.3	96.1	96.3
92	95.3	94.7	95.5	95.5	95.3	95.6
91	94.6	94	94.9	94.8	94.5	94.8
90	93.9	93.3	94.2	94	93.8	94.1
89	93.2	92.6	93.6	93.4	93.1	93.5
88	92.6	91.9	93	92.7	92.4	92.8
87	92	91.3	92.4	92.1	91.7	92.2
86	91.4	90.6	91.8	91.4	91	91.6
85	90.8	90	91.3	90.8	90.4	91
84	90.2	89.4	90.7	90.2	89.7	90.5
83	89.6	88.8	90.2	89.7	89.1	89.9
82	89.1	88.2	89.8	89.1	88.5	89.4
81	88.6	87.7	89.3	88.6	87.9	89
80	88.1	87.2	88.9	88.1	87.4	88.5
79	87.7	86.7	88.5	87.7	86.8	88.1
78	87.3	86.2	88.2	87.2	86.3	87.7
77	86.9	85.8	87.8	86.8	85.8	87.4
76	86.5	85.3	87.5	86.4	85.3	87
75	86.2	84.9	87.2	86	84.8	86.7
74	85.8	84.5	86.9	85.6	84.4	86.4
73	85.5	84.1	86.7	85.3	83.9	86.1
72	85.2	83.7	86.4	84.9	83.5	85.9
71	84.9	83.4	86.1	84.6	83	85.6
70	84.6	83	85.9	84.2	82.6	85.4
69	84.3	82.7	85.7	83.9	82.2	85.1
68	84	82.4	85.5	83.6	81.8	84.9
67	83.8	82.1	85.4	83.2	81.4	84.6
66	83.6	81.8	85.2	82.9	81	84.4
65	83.3	81.5	85	82.6	80.5	84.2
64	83.1	81.3	84.9	82.3	80.1	84
63	82.9	81	84.7	82	79.8	83.8
62	82.7	80.8	84.6	81.7	79.4	83.6
61	82.5	80.6	84.5	81.4	79.1	83.4
60	82.4	80.4	84.3	81.2	78.7	83.2
59	82.2	80.2	84.2	80.9	78.4	83
58	82.1	80	84.2	80.7	78.1	82.8
57	82	79.8	84.1	80.4	77.8	82.7
56	81.8	79.7	84	80.2	77.5	82.5
55	81.7	79.5	83.9	80	77.3	82.4
54	81.6	79.4	83.8	79.8	77.1	82.3
53	81.5	79.2	83.7	79.6	76.8	82.2
52	81.4	79.1	83.7	79.5	76.6	82
51	81.3	79	83.6	79.3	76.5	82
50	81.2	78.9	83.5	79.2	76.3	81.9
49	81.1	78.8	83.5	79.1	76.1	81.8
48	81	78.7	83.4	79	76	81.7
47	81	78.6	83.4	78.9	75.9	81.6
46	80.9	78.5	83.3	78.8	75.8	81.6
45	80.8	78.4	83.3	78.7	75.7	81.5
44	80.8	78.3	83.2	78.6	75.6	81.5
43	80.7	78.3	83.2	78.6	75.5	81.4
42	80.6	78.2	83.1	78.5	75.5	81.4
41	80.6	78.1	83.1	78.5	75.4	81.3
40	80.5	78.1	83.1	78.4	75.4	81.3
39	80.5	78	83	78.4	75.3	81.3
38	80.5	78	83	78.3	75.3	81.3
37	80.4	77.9	83	78.3	75.2	81.2
36	80.4	77.9	83	78.3	75.2	81.2
35	80.4	77.8	82.9	78.2	75.1	81.2
34	80.3	77.8	82.9	78.2	75.1	81.1
33	80.3	77.8	82.9	78.2	75.1	81.1
32	80.2	77.7	82.8	78.1	75	81.1
31	80.2	77.7	82.8	78.1	75	81.1
30	80.2	77.6	82.8	78.1	75	81.1
29	80.1	77.6	82.8	78.1	74.9	81.1
28	80.1	77.6	82.7	78	74.9	81
27	80.1	77.5	82.7	78	74.9	81
26	80	77.5	82.7	78	74.8	81
25	80	77.4	82.7	78	74.8	81
24	80	77.4	82.6	78	74.8	81
23	79.9	77.4	82.6	77.9	74.8	81
22	79.9	77.3	82.6	77.9	74.7	81
21	79.9	77.3	82.6	77.9	74.7	81
20	79.8	77.3	82.5	77.9	74.7	81
19	79.8	77.2	82.5	77.9	74.7	80.9
18	79.8	77.2	82.5	77.8	74.6	80.9
17	79.8	77.2	82.5	77.8	74.6	80.9
16	79.8	77.2	82.5	77.8	74.6	80.9
15	79.7	77.1	82.4	77.8	74.6	80.9
14	79.7	77.1	82.4	77.8	74.6	80.9
13	79.7	77.1	82.4	77.8	74.6	80.9
12	79.7	77.1	82.4	77.8	74.6	80.9
11	79.7	77	82.4	77.8	74.6	80.9
10	79.6	77	82.4	77.8	74.6	80.9
9	79.6	77	82.4	77.8	74.5	80.9
8	79.6	77	82.3	77.8	74.5	80.9
7	79.6	77	82.3	77.8	74.5	80.9
6	79.6	76.9	82.3	77.8	74.5	80.9
5	79.6	76.9	82.3	77.8	74.5	80.9
4	79.5	76.9	82.3	77.7	74.5	80.9
3	79.5	76.9	82.2	77.7	74.5	80.8
2	79.5	76.9	82.2	77.7	74.5	80.8
1	79.5	76.8	82.2	77.7	74.5	80.8
0	79	76.4	81.8	77.5	74.3	80.6

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 China can expect to live to 80.2 years compared to 78.1 in Hungary, rising to 83.3 and 82.6 at 65, and to 88.1 and 88.1 at 80 — higher than the 79 and 77.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Hungary

Male

Female

1x

Age	Survival probability
	China			Hungary
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.94%	0.51%	1.3%
99	1.33%	0.38%	2.27%	1.43%	0.79%	1.99%
98	2.06%	0.72%	3.42%	2.12%	1.18%	2.92%
97	3.08%	1.24%	4.95%	3.03%	1.71%	4.17%
96	4.43%	2%	6.91%	4.21%	2.42%	5.76%
95	6.17%	3.05%	9.37%	5.67%	3.31%	7.72%
94	8.32%	4.42%	12.3%	7.46%	4.44%	10.1%
93	10.9%	6.13%	15.8%	9.59%	5.84%	12.9%
92	13.7%	8.19%	19.4%	12%	7.51%	16%
91	16.8%	10.6%	23.3%	14.8%	9.39%	19.5%
90	20.2%	13.3%	27.4%	17.7%	11.5%	23.2%
89	23.8%	16.3%	31.6%	20.8%	13.8%	27.2%
88	27.5%	19.5%	35.8%	24.1%	16.3%	31.2%
87	31.4%	23%	40.2%	27.5%	18.9%	35.4%
86	35.4%	26.6%	44.5%	31%	21.7%	39.6%
85	39.4%	30.3%	48.8%	34.6%	24.6%	43.7%
84	43.3%	34.1%	52.9%	38.1%	27.6%	47.8%
83	47.2%	37.9%	56.8%	41.6%	30.7%	51.7%
82	51%	41.7%	60.5%	44.9%	33.7%	55.4%
81	54.5%	45.3%	64%	48.2%	36.8%	58.9%
80	57.8%	48.8%	67.1%	51.3%	39.9%	62.1%
79	60.9%	52.2%	70%	54.3%	42.9%	65%
78	63.8%	55.3%	72.5%	57%	45.7%	67.7%
77	66.5%	58.3%	74.9%	59.6%	48.6%	70.1%
76	69%	61.2%	77%	62.1%	51.3%	72.4%
75	71.3%	63.9%	79%	64.4%	53.9%	74.4%
74	73.5%	66.4%	80.8%	66.5%	56.4%	76.3%
73	75.6%	68.9%	82.5%	68.6%	58.9%	78%
72	77.5%	71.1%	84%	70.5%	61.2%	79.6%
71	79.3%	73.3%	85.5%	72.4%	63.5%	81.1%
70	80.9%	75.3%	86.7%	74.2%	65.8%	82.5%
69	82.4%	77.1%	87.8%	75.9%	67.9%	83.8%
68	83.7%	78.8%	88.8%	77.5%	70.1%	85%
67	84.9%	80.4%	89.6%	79.2%	72.1%	86.2%
66	86.1%	82%	90.5%	80.7%	74.1%	87.3%
65	87.2%	83.4%	91.2%	82.2%	76.1%	88.3%
64	88.3%	84.8%	91.9%	83.6%	78.1%	89.3%
63	89.2%	86%	92.6%	85%	79.9%	90.2%
62	90.1%	87.1%	93.1%	86.3%	81.6%	91%
61	90.8%	88.1%	93.6%	87.5%	83.2%	91.8%
60	91.5%	89%	94.1%	88.6%	84.8%	92.6%
59	92.1%	89.8%	94.5%	89.7%	86.2%	93.3%
58	92.6%	90.5%	94.8%	90.6%	87.5%	93.9%
57	93.1%	91.2%	95.1%	91.6%	88.8%	94.5%
56	93.5%	91.8%	95.4%	92.4%	89.9%	95%
55	94%	92.4%	95.7%	93.2%	91%	95.5%
54	94.4%	92.9%	95.9%	93.9%	91.9%	96%
53	94.8%	93.4%	96.2%	94.5%	92.8%	96.4%
52	95.1%	93.9%	96.4%	95.1%	93.5%	96.7%
51	95.4%	94.3%	96.6%	95.6%	94.2%	97%
50	95.7%	94.7%	96.8%	96%	94.8%	97.3%
49	96%	95.1%	97%	96.4%	95.3%	97.6%
48	96.2%	95.4%	97.1%	96.8%	95.8%	97.8%
47	96.4%	95.7%	97.3%	97.1%	96.2%	98%
46	96.6%	95.9%	97.4%	97.3%	96.5%	98.1%
45	96.8%	96.1%	97.5%	97.5%	96.8%	98.3%
44	97%	96.4%	97.6%	97.7%	97.1%	98.4%
43	97.1%	96.6%	97.7%	97.9%	97.3%	98.5%
42	97.3%	96.7%	97.8%	98%	97.5%	98.6%
41	97.4%	96.9%	97.9%	98.2%	97.7%	98.7%
40	97.5%	97%	98%	98.3%	97.8%	98.8%
39	97.6%	97.2%	98.1%	98.4%	98%	98.9%
38	97.7%	97.3%	98.1%	98.5%	98.1%	99%
37	97.8%	97.4%	98.2%	98.6%	98.2%	99%
36	97.9%	97.5%	98.3%	98.7%	98.3%	99.1%
35	97.9%	97.6%	98.3%	98.8%	98.4%	99.1%
34	98%	97.7%	98.4%	98.8%	98.5%	99.2%
33	98.1%	97.8%	98.4%	98.9%	98.6%	99.2%
32	98.2%	97.9%	98.5%	99%	98.7%	99.3%
31	98.2%	98%	98.5%	99%	98.8%	99.3%
30	98.3%	98%	98.6%	99.1%	98.8%	99.3%
29	98.4%	98.1%	98.6%	99.1%	98.9%	99.4%
28	98.4%	98.2%	98.7%	99.2%	99%	99.4%
27	98.5%	98.3%	98.7%	99.2%	99%	99.4%
26	98.6%	98.4%	98.8%	99.3%	99.1%	99.4%
25	98.6%	98.4%	98.8%	99.3%	99.1%	99.4%
24	98.7%	98.5%	98.9%	99.3%	99.2%	99.5%
23	98.7%	98.6%	98.9%	99.4%	99.2%	99.5%
22	98.8%	98.7%	99%	99.4%	99.3%	99.5%
21	98.8%	98.7%	99%	99.4%	99.3%	99.5%
20	98.9%	98.8%	99%	99.5%	99.4%	99.5%
19	98.9%	98.8%	99.1%	99.5%	99.4%	99.6%
18	99%	98.9%	99.1%	99.5%	99.5%	99.6%
17	99%	98.9%	99.1%	99.5%	99.5%	99.6%
16	99%	98.9%	99.1%	99.6%	99.5%	99.6%
15	99.1%	99%	99.2%	99.6%	99.5%	99.6%
14	99.1%	99%	99.2%	99.6%	99.6%	99.6%
13	99.1%	99%	99.2%	99.6%	99.6%	99.6%
12	99.1%	99.1%	99.2%	99.6%	99.6%	99.6%
11	99.2%	99.1%	99.2%	99.6%	99.6%	99.6%
10	99.2%	99.1%	99.3%	99.6%	99.6%	99.7%
9	99.2%	99.2%	99.3%	99.6%	99.6%	99.7%
8	99.3%	99.2%	99.3%	99.6%	99.6%	99.7%
7	99.3%	99.2%	99.3%	99.7%	99.6%	99.7%
6	99.3%	99.3%	99.4%	99.7%	99.6%	99.7%
5	99.3%	99.3%	99.4%	99.7%	99.6%	99.7%
4	99.3%	99.3%	99.4%	99.7%	99.7%	99.7%
3	99.4%	99.3%	99.4%	99.7%	99.7%	99.7%
2	99.4%	99.4%	99.5%	99.7%	99.7%	99.7%
1	99.5%	99.4%	99.5%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 88.6% in Hungary are expected to live past 60, 80.9% and 74.2% past 70, 57.8% and 51.3% past 80, and only 20.2% and 17.7% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

China

Male

Female

Hungary

Male

Female

1x

Age	Probability of dying
	China			Hungary
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	36.8%	37.4%	36.6%
99	38.1%	51.3%	36.1%	34.6%	35.3%	34.4%
98	35.7%	46.6%	33.6%	32.3%	33.2%	32.1%
97	33.1%	42.1%	30.9%	30.2%	31.2%	29.9%
96	30.5%	38.1%	28.4%	28%	29.2%	27.6%
95	28.2%	34.3%	26.2%	25.8%	26.9%	25.4%
94	25.9%	31%	24.1%	24%	25.4%	23.5%
93	23.4%	27.9%	21.7%	22.2%	24.1%	21.6%
92	20.8%	25.2%	19%	20.3%	22.1%	19.7%
91	18.5%	22.6%	16.6%	18.4%	20%	17.8%
90	16.7%	20.4%	14.9%	16.7%	18.3%	16.1%
89	15.1%	18.4%	13.3%	15%	16.7%	14.4%
88	13.6%	16.6%	11.9%	13.6%	15.3%	12.9%
87	12.4%	15%	10.8%	12.4%	14%	11.8%
86	11.2%	13.6%	9.72%	11.3%	12.8%	10.6%
85	10.1%	12.3%	8.73%	10.2%	11.8%	9.49%
84	9.17%	11.2%	7.82%	9.27%	10.9%	8.51%
83	8.24%	10.1%	6.95%	8.38%	9.98%	7.59%
82	7.35%	9.03%	6.12%	7.51%	9.13%	6.67%
81	6.51%	8.06%	5.36%	6.77%	8.41%	5.89%
80	5.75%	7.17%	4.67%	6.09%	7.68%	5.2%
79	5.09%	6.39%	4.07%	5.4%	6.91%	4.53%
78	4.52%	5.71%	3.56%	4.84%	6.33%	3.95%
77	4.03%	5.14%	3.15%	4.38%	5.85%	3.48%
76	3.62%	4.65%	2.8%	3.94%	5.31%	3.09%
75	3.27%	4.23%	2.5%	3.55%	4.81%	2.75%
74	2.98%	3.86%	2.25%	3.24%	4.45%	2.45%
73	2.69%	3.5%	2.02%	2.99%	4.15%	2.21%
72	2.45%	3.19%	1.81%	2.77%	3.88%	2.01%
71	2.26%	2.96%	1.66%	2.58%	3.63%	1.82%
70	2.04%	2.7%	1.47%	2.4%	3.4%	1.67%
69	1.76%	2.36%	1.22%	2.25%	3.19%	1.56%
68	1.58%	2.14%	1.08%	2.14%	3.02%	1.47%
67	1.48%	2.01%	1%	2.02%	2.87%	1.37%
66	1.37%	1.86%	0.91%	1.88%	2.71%	1.23%
65	1.26%	1.72%	0.83%	1.81%	2.63%	1.14%
64	1.17%	1.59%	0.76%	1.75%	2.53%	1.09%
63	1.06%	1.45%	0.69%	1.61%	2.29%	1.02%
62	0.95%	1.3%	0.61%	1.47%	2.05%	0.94%
61	0.83%	1.14%	0.53%	1.38%	1.94%	0.87%
60	0.73%	1%	0.46%	1.28%	1.8%	0.8%
59	0.64%	0.88%	0.41%	1.18%	1.65%	0.74%
58	0.57%	0.78%	0.36%	1.1%	1.54%	0.68%
57	0.52%	0.71%	0.33%	1.01%	1.42%	0.62%
56	0.48%	0.66%	0.31%	0.92%	1.28%	0.56%
55	0.45%	0.62%	0.29%	0.83%	1.14%	0.51%
54	0.43%	0.59%	0.27%	0.74%	1.02%	0.47%
53	0.41%	0.55%	0.26%	0.66%	0.91%	0.42%
52	0.38%	0.51%	0.24%	0.59%	0.81%	0.36%
51	0.34%	0.46%	0.22%	0.52%	0.72%	0.32%
50	0.3%	0.41%	0.19%	0.47%	0.64%	0.3%
49	0.27%	0.36%	0.17%	0.41%	0.56%	0.26%
48	0.24%	0.32%	0.15%	0.35%	0.48%	0.22%
47	0.22%	0.29%	0.14%	0.31%	0.41%	0.2%
46	0.2%	0.26%	0.13%	0.27%	0.35%	0.18%
45	0.18%	0.24%	0.12%	0.23%	0.3%	0.15%
44	0.17%	0.22%	0.11%	0.19%	0.26%	0.13%
43	0.16%	0.21%	0.11%	0.17%	0.22%	0.12%
42	0.14%	0.19%	0.1%	0.16%	0.2%	0.11%
41	0.13%	0.17%	0.09%	0.14%	0.18%	0.09%
40	0.12%	0.15%	0.08%	0.12%	0.16%	0.08%
39	0.1%	0.13%	0.07%	0.11%	0.14%	0.08%
38	0.1%	0.12%	0.07%	0.1%	0.13%	0.07%
37	0.09%	0.11%	0.06%	0.09%	0.12%	0.06%
36	0.08%	0.1%	0.06%	0.09%	0.12%	0.06%
35	0.08%	0.1%	0.06%	0.08%	0.11%	0.06%
34	0.08%	0.1%	0.06%	0.07%	0.1%	0.05%
33	0.08%	0.09%	0.05%	0.07%	0.09%	0.04%
32	0.07%	0.09%	0.05%	0.07%	0.09%	0.04%
31	0.07%	0.09%	0.05%	0.06%	0.08%	0.04%
30	0.07%	0.09%	0.05%	0.05%	0.07%	0.03%
29	0.07%	0.09%	0.05%	0.05%	0.07%	0.03%
28	0.07%	0.08%	0.05%	0.05%	0.07%	0.03%
27	0.07%	0.08%	0.05%	0.04%	0.06%	0.02%
26	0.07%	0.08%	0.05%	0.04%	0.06%	0.02%
25	0.06%	0.08%	0.05%	0.04%	0.05%	0.02%
24	0.06%	0.07%	0.05%	0.04%	0.05%	0.02%
23	0.06%	0.07%	0.04%	0.03%	0.05%	0.02%
22	0.05%	0.07%	0.04%	0.03%	0.04%	0.02%
21	0.05%	0.06%	0.04%	0.03%	0.04%	0.02%
20	0.05%	0.05%	0.03%	0.03%	0.05%	0.02%
19	0.04%	0.05%	0.03%	0.03%	0.05%	0.02%
18	0.04%	0.04%	0.03%	0.03%	0.04%	0.02%
17	0.03%	0.04%	0.03%	0.02%	0.03%	0.01%
16	0.03%	0.04%	0.02%	0.02%	0.02%	0.01%
15	0.03%	0.04%	0.02%	0.01%	0.02%	0.01%
14	0.03%	0.04%	0.02%	0.01%	0.02%	0.01%
13	0.03%	0.04%	0.02%	0.01%	0.01%	0.008%
12	0.03%	0.03%	0.02%	0.009%	0.01%	0.006%
11	0.03%	0.03%	0.02%	0.007%	0.008%	0.005%
10	0.03%	0.03%	0.02%	0.008%	0.009%	0.008%
9	0.03%	0.03%	0.02%	0.01%	0.01%	0.009%
8	0.03%	0.03%	0.02%	0.008%	0.01%	0.006%
7	0.02%	0.03%	0.02%	0.007%	0.007%	0.007%
6	0.02%	0.02%	0.02%	0.007%	0.006%	0.008%
5	0.02%	0.02%	0.02%	0.008%	0.009%	0.007%
4	0.02%	0.02%	0.03%	0.01%	0.01%	0.008%
3	0.03%	0.03%	0.03%	0.01%	0.01%	0.01%
2	0.04%	0.04%	0.04%	0.02%	0.02%	0.01%
1	0.05%	0.05%	0.05%	0.02%	0.02%	0.03%
0	0.54%	0.59%	0.49%	0.27%	0.29%	0.25%

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

The annual chance of dying is 0.54% in the birth year in China and 0.27% in Hungary, 0.07% vs 0.05% at age 30, 0.73% vs 1.28% at 60, and 5.75% vs 6.09% at 80.

Death rate by age in China vs Hungary

Chart Table

China

Male

Female

Hungary

Male

Female

1x

Age	Death rate
	China			Hungary
	Total	Male	Female	Total	Male	Female
100	145	0	355	217.8	97.2	320
99	505	196.9	819	495	277.8	683
98	735	334	1,147	684	391	938
97	1,018	523	1,530	915	535	1,245
96	1,350	762	1,962	1,180	706	1,592
95	1,738	1,046	2,458	1,464	892	1,963
94	2,153	1,368	2,972	1,787	1,128	2,368
93	2,544	1,713	3,413	2,133	1,406	2,782
92	2,856	2,061	3,693	2,445	1,662	3,153
91	3,108	2,396	3,865	2,712	1,880	3,470
90	3,366	2,708	4,066	2,952	2,096	3,745
89	3,582	2,988	4,200	3,133	2,304	3,918
88	3,745	3,232	4,268	3,276	2,490	4,033
87	3,880	3,440	4,326	3,416	2,642	4,164
86	3,965	3,608	4,325	3,500	2,779	4,202
85	3,995	3,731	4,256	3,529	2,901	4,148
84	3,972	3,803	4,134	3,532	2,998	4,063
83	3,891	3,816	3,953	3,485	3,058	3,921
82	3,745	3,764	3,707	3,376	3,081	3,693
81	3,550	3,655	3,426	3,263	3,096	3,467
80	3,328	3,503	3,132	3,126	3,064	3,230
79	3,103	3,332	2,846	2,932	2,961	2,946
78	2,884	3,160	2,586	2,759	2,895	2,678
77	2,680	2,998	2,356	2,610	2,840	2,442
76	2,497	2,846	2,155	2,449	2,724	2,235
75	2,336	2,704	1,979	2,284	2,592	2,044
74	2,190	2,566	1,823	2,153	2,511	1,867
73	2,034	2,410	1,665	2,051	2,442	1,723
72	1,895	2,269	1,525	1,957	2,374	1,599
71	1,792	2,168	1,415	1,865	2,307	1,479
70	1,654	2,034	1,272	1,778	2,237	1,375
69	1,448	1,822	1,069	1,711	2,168	1,304
68	1,325	1,689	956	1,663	2,118	1,253
67	1,260	1,614	898	1,602	2,067	1,180
66	1,179	1,527	825	1,520	2,006	1,070
65	1,103	1,438	761	1,490	2,000	1,009
64	1,030	1,348	703	1,462	1,972	974
63	946	1,247	635	1,369	1,830	921
62	853	1,133	564	1,264	1,677	857
61	757	1,009	498	1,206	1,614	799
60	668	892	436	1,134	1,524	742
59	590	791	383	1,056	1,420	688
58	527	706	342	995	1,348	637
57	482	645	313	925	1,258	584
56	451	603	292	847	1,151	532
55	427	572	276.5	769	1,041	488
54	408	546	263.3	697	938	447
53	387	518	249.2	628	845	402
52	360	482	231.3	560	760	352
51	327	438	210	500	680	313
50	290.9	390	187.2	450	603	288.7
49	257.4	344	166.1	394	532	251
48	229.6	306	149.2	341	464	212.8
47	208.9	276.7	137.2	297.3	398	192.6
46	192.8	253.9	128.1	258.4	339	175.1
45	178.6	234	119.7	219.6	290.2	146.8
44	165.2	215.7	111.4	189.8	249.5	127.5
43	152.2	198	103.3	168.8	218.7	116.5
42	139.1	180	95.4	153.4	198.8	106
41	126	161.9	87.5	136.8	179	92.1
40	113.4	144.6	79.7	116.2	153	76.9
39	102.3	129.3	72.9	107	136.8	75
38	93	116.7	67.2	101.8	128.2	73.1
37	86	107.2	62.7	91.6	120.6	60.1
36	81	100.6	59.2	86.7	114	57.2
35	77.6	96.3	56.7	82.6	106.1	57.3
34	75.4	93.5	55	72.8	95	48.8
33	73.9	91.7	53.8	65.3	87.5	41.3
32	72.9	90.3	53	64.7	85.9	42
31	71.6	88.7	51.9	56.5	76.5	35
30	70	86.7	50.7	48.8	68.4	27.8
29	68.3	84.6	49.4	50.4	70.4	28.8
28	67	82.9	48.7	47.4	67.4	25.9
27	65.8	81	48.1	41.7	60.7	21.6
26	64.1	78.3	47.4	39.3	56	21.3
25	62.2	75.4	46.7	38.3	53.9	21.5
24	60.3	72.7	45.8	36.4	52.5	19.2
23	57.6	69	44.1	34.2	48.2	19.4
22	53.9	64.4	41.5	32.9	44.1	21.1
21	49.4	59.1	38.1	33	43.7	21.5
20	44.8	53.7	34.3	33.7	46.4	20.3
19	40.4	48.5	30.8	33.6	48.1	18.3
18	36.6	44.2	27.6	29.2	40.9	17
17	33.6	40.9	25	22.5	29.9	14.7
16	31.4	38.5	23.1	16.7	22.3	10.9
15	30	36.9	21.9	13.8	17.7	9.68
14	29.2	35.9	21.3	12.4	15.1	9.53
13	28.7	35.2	21.2	10.8	13.6	7.82
12	28.2	34.1	21.3	8.56	11.3	5.71
11	27.5	32.7	21.6	6.7	8.01	5.31
10	27.6	32	22.6	8.44	9.09	7.74
9	27.6	31.1	23.5	10.1	11.3	8.86
8	26.3	28.8	23.3	8.36	10.3	6.34
7	24.2	25.8	22.4	7.08	7.1	7.06
6	22.5	23.1	21.8	7.12	5.85	8.46
5	22.3	22.3	22.4	8.09	9.06	7.07
4	24.6	24.2	25	9.76	11.8	7.54
3	29.6	29.3	29.9	12.1	12.3	11.9
2	36.1	35.9	36.3	16.1	20.1	12
1	45.9	46.8	44.9	24.7	23.2	26.3
0	540	585	490	271.5	290.3	251.6

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 China, the most common age of death is 85, compared to 84 in Hungary. The median age of death is 82.3 in China and 80.4 in Hungary, 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 China and Hungary more than their death rates.

Life expectancy in other countries

+ -

1x