Life Expectancy in China vs Poland (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Poland

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Poland
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102.2	102	102.3
99	101	100.6	101.1	101.3	101.1	101.4
98	100.1	99.6	100.2	100.5	100.3	100.5
97	99.3	98.7	99.4	99.6	99.5	99.7
96	98.4	97.9	98.6	98.8	98.7	98.9
95	97.6	97.1	97.8	98	97.8	98.1
94	96.8	96.3	97	97.3	97	97.3
93	96	95.5	96.2	96.5	96.3	96.6
92	95.3	94.7	95.5	95.8	95.5	95.9
91	94.6	94	94.9	95.1	94.8	95.2
90	93.9	93.3	94.2	94.4	94.1	94.5
89	93.2	92.6	93.6	93.8	93.4	93.9
88	92.6	91.9	93	93.1	92.7	93.3
87	92	91.3	92.4	92.5	92.1	92.7
86	91.4	90.6	91.8	92	91.4	92.2
85	90.8	90	91.3	91.4	90.8	91.7
84	90.2	89.4	90.7	90.9	90.2	91.2
83	89.6	88.8	90.2	90.4	89.7	90.8
82	89.1	88.2	89.8	89.9	89.1	90.3
81	88.6	87.7	89.3	89.5	88.6	90
80	88.1	87.2	88.9	89	88.1	89.6
79	87.7	86.7	88.5	88.6	87.6	89.2
78	87.3	86.2	88.2	88.2	87.1	88.9
77	86.9	85.8	87.8	87.8	86.6	88.6
76	86.5	85.3	87.5	87.5	86.1	88.3
75	86.2	84.9	87.2	87.1	85.7	88
74	85.8	84.5	86.9	86.8	85.3	87.8
73	85.5	84.1	86.7	86.4	84.9	87.5
72	85.2	83.7	86.4	86.1	84.4	87.3
71	84.9	83.4	86.1	85.8	84	87
70	84.6	83	85.9	85.5	83.6	86.8
69	84.3	82.7	85.7	85.1	83.3	86.6
68	84	82.4	85.5	84.8	82.9	86.4
67	83.8	82.1	85.4	84.6	82.5	86.1
66	83.6	81.8	85.2	84.3	82.1	86
65	83.3	81.5	85	84	81.8	85.8
64	83.1	81.3	84.9	83.7	81.5	85.6
63	82.9	81	84.7	83.5	81.1	85.4
62	82.7	80.8	84.6	83.2	80.8	85.3
61	82.5	80.6	84.5	83	80.5	85.1
60	82.4	80.4	84.3	82.8	80.2	85
59	82.2	80.2	84.2	82.6	80	84.8
58	82.1	80	84.2	82.4	79.7	84.7
57	82	79.8	84.1	82.2	79.5	84.6
56	81.8	79.7	84	82	79.2	84.5
55	81.7	79.5	83.9	81.8	79	84.4
54	81.6	79.4	83.8	81.7	78.8	84.3
53	81.5	79.2	83.7	81.5	78.6	84.2
52	81.4	79.1	83.7	81.4	78.5	84.1
51	81.3	79	83.6	81.3	78.3	84
50	81.2	78.9	83.5	81.1	78.1	83.9
49	81.1	78.8	83.5	81	78	83.9
48	81	78.7	83.4	80.9	77.8	83.8
47	81	78.6	83.4	80.8	77.7	83.7
46	80.9	78.5	83.3	80.7	77.6	83.7
45	80.8	78.4	83.3	80.6	77.5	83.6
44	80.8	78.3	83.2	80.6	77.4	83.6
43	80.7	78.3	83.2	80.5	77.3	83.6
42	80.6	78.2	83.1	80.4	77.2	83.5
41	80.6	78.1	83.1	80.4	77.1	83.5
40	80.5	78.1	83.1	80.3	77	83.5
39	80.5	78	83	80.2	76.9	83.4
38	80.5	78	83	80.2	76.9	83.4
37	80.4	77.9	83	80.1	76.8	83.4
36	80.4	77.9	83	80.1	76.7	83.4
35	80.4	77.8	82.9	80.1	76.7	83.3
34	80.3	77.8	82.9	80	76.6	83.3
33	80.3	77.8	82.9	80	76.6	83.3
32	80.2	77.7	82.8	79.9	76.5	83.3
31	80.2	77.7	82.8	79.9	76.5	83.3
30	80.2	77.6	82.8	79.9	76.4	83.3
29	80.1	77.6	82.8	79.8	76.4	83.2
28	80.1	77.6	82.7	79.8	76.3	83.2
27	80.1	77.5	82.7	79.8	76.3	83.2
26	80	77.5	82.7	79.8	76.2	83.2
25	80	77.4	82.7	79.7	76.2	83.2
24	80	77.4	82.6	79.7	76.2	83.2
23	79.9	77.4	82.6	79.7	76.1	83.2
22	79.9	77.3	82.6	79.6	76.1	83.2
21	79.9	77.3	82.6	79.6	76	83.1
20	79.8	77.3	82.5	79.6	76	83.1
19	79.8	77.2	82.5	79.6	76	83.1
18	79.8	77.2	82.5	79.5	75.9	83.1
17	79.8	77.2	82.5	79.5	75.9	83.1
16	79.8	77.2	82.5	79.5	75.9	83.1
15	79.7	77.1	82.4	79.5	75.9	83.1
14	79.7	77.1	82.4	79.5	75.9	83.1
13	79.7	77.1	82.4	79.5	75.9	83.1
12	79.7	77.1	82.4	79.5	75.9	83.1
11	79.7	77	82.4	79.5	75.9	83
10	79.6	77	82.4	79.5	75.8	83
9	79.6	77	82.4	79.5	75.8	83
8	79.6	77	82.3	79.5	75.8	83
7	79.6	77	82.3	79.4	75.8	83
6	79.6	76.9	82.3	79.4	75.8	83
5	79.6	76.9	82.3	79.4	75.8	83
4	79.5	76.9	82.3	79.4	75.8	83
3	79.5	76.9	82.2	79.4	75.8	83
2	79.5	76.9	82.2	79.4	75.8	83
1	79.5	76.8	82.2	79.4	75.8	83
0	79	76.4	81.8	79.2	75.5	82.7

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 79.9 in Poland, rising to 83.3 and 84 at 65, and to 88.1 and 89 at 80 — higher than the 79 and 79.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Poland

Male

Female

1x

Age	Survival probability
	China			Poland
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	1.63%	0.87%	2.31%
99	1.33%	0.38%	2.27%	2.44%	1.31%	3.43%
98	2.06%	0.72%	3.42%	3.51%	1.92%	4.92%
97	3.08%	1.24%	4.95%	4.89%	2.72%	6.83%
96	4.43%	2%	6.91%	6.61%	3.74%	9.17%
95	6.17%	3.05%	9.37%	8.68%	5.04%	11.9%
94	8.32%	4.42%	12.3%	11.1%	6.63%	15.2%
93	10.9%	6.13%	15.8%	13.9%	8.52%	18.8%
92	13.7%	8.19%	19.4%	16.9%	10.6%	22.7%
91	16.8%	10.6%	23.3%	20.2%	12.9%	26.9%
90	20.2%	13.3%	27.4%	23.7%	15.5%	31.3%
89	23.8%	16.3%	31.6%	27.3%	18.2%	35.7%
88	27.5%	19.5%	35.8%	30.9%	21.1%	40.1%
87	31.4%	23%	40.2%	34.6%	24.1%	44.5%
86	35.4%	26.6%	44.5%	38.3%	27.2%	48.8%
85	39.4%	30.3%	48.8%	41.8%	30.3%	52.8%
84	43.3%	34.1%	52.9%	45.2%	33.4%	56.5%
83	47.2%	37.9%	56.8%	48.5%	36.6%	60%
82	51%	41.7%	60.5%	51.6%	39.6%	63.2%
81	54.5%	45.3%	64%	54.5%	42.6%	66.1%
80	57.8%	48.8%	67.1%	57.3%	45.6%	68.8%
79	60.9%	52.2%	70%	59.9%	48.4%	71.2%
78	63.8%	55.3%	72.5%	62.3%	51.1%	73.4%
77	66.5%	58.3%	74.9%	64.6%	53.8%	75.5%
76	69%	61.2%	77%	66.8%	56.3%	77.3%
75	71.3%	63.9%	79%	68.9%	58.8%	79.1%
74	73.5%	66.4%	80.8%	70.8%	61.1%	80.7%
73	75.6%	68.9%	82.5%	72.7%	63.4%	82.2%
72	77.5%	71.1%	84%	74.5%	65.5%	83.6%
71	79.3%	73.3%	85.5%	76.2%	67.7%	84.9%
70	80.9%	75.3%	86.7%	77.8%	69.7%	86.1%
69	82.4%	77.1%	87.8%	79.3%	71.6%	87.2%
68	83.7%	78.8%	88.8%	80.7%	73.5%	88.2%
67	84.9%	80.4%	89.6%	82.2%	75.4%	89.2%
66	86.1%	82%	90.5%	83.5%	77.1%	90.1%
65	87.2%	83.4%	91.2%	84.7%	78.8%	90.9%
64	88.3%	84.8%	91.9%	85.9%	80.3%	91.7%
63	89.2%	86%	92.6%	87%	81.8%	92.4%
62	90.1%	87.1%	93.1%	88%	83.1%	93%
61	90.8%	88.1%	93.6%	88.9%	84.4%	93.6%
60	91.5%	89%	94.1%	89.8%	85.7%	94.2%
59	92.1%	89.8%	94.5%	90.7%	86.8%	94.7%
58	92.6%	90.5%	94.8%	91.4%	87.8%	95.2%
57	93.1%	91.2%	95.1%	92.1%	88.8%	95.6%
56	93.5%	91.8%	95.4%	92.8%	89.7%	96%
55	94%	92.4%	95.7%	93.4%	90.5%	96.3%
54	94.4%	92.9%	95.9%	93.9%	91.3%	96.6%
53	94.8%	93.4%	96.2%	94.4%	92%	96.9%
52	95.1%	93.9%	96.4%	94.8%	92.6%	97.2%
51	95.4%	94.3%	96.6%	95.3%	93.2%	97.4%
50	95.7%	94.7%	96.8%	95.6%	93.8%	97.6%
49	96%	95.1%	97%	96%	94.2%	97.8%
48	96.2%	95.4%	97.1%	96.3%	94.7%	98%
47	96.4%	95.7%	97.3%	96.6%	95.1%	98.1%
46	96.6%	95.9%	97.4%	96.8%	95.5%	98.3%
45	96.8%	96.1%	97.5%	97.1%	95.8%	98.4%
44	97%	96.4%	97.6%	97.3%	96.1%	98.5%
43	97.1%	96.6%	97.7%	97.5%	96.4%	98.6%
42	97.3%	96.7%	97.8%	97.6%	96.6%	98.7%
41	97.4%	96.9%	97.9%	97.8%	96.9%	98.8%
40	97.5%	97%	98%	97.9%	97.1%	98.9%
39	97.6%	97.2%	98.1%	98.1%	97.3%	98.9%
38	97.7%	97.3%	98.1%	98.2%	97.5%	99%
37	97.8%	97.4%	98.2%	98.3%	97.6%	99%
36	97.9%	97.5%	98.3%	98.4%	97.8%	99.1%
35	97.9%	97.6%	98.3%	98.5%	97.9%	99.1%
34	98%	97.7%	98.4%	98.6%	98%	99.2%
33	98.1%	97.8%	98.4%	98.7%	98.2%	99.2%
32	98.2%	97.9%	98.5%	98.7%	98.3%	99.2%
31	98.2%	98%	98.5%	98.8%	98.4%	99.3%
30	98.3%	98%	98.6%	98.9%	98.5%	99.3%
29	98.4%	98.1%	98.6%	98.9%	98.6%	99.3%
28	98.4%	98.2%	98.7%	99%	98.7%	99.3%
27	98.5%	98.3%	98.7%	99.1%	98.8%	99.4%
26	98.6%	98.4%	98.8%	99.1%	98.9%	99.4%
25	98.6%	98.4%	98.8%	99.2%	98.9%	99.4%
24	98.7%	98.5%	98.9%	99.2%	99%	99.4%
23	98.7%	98.6%	98.9%	99.3%	99.1%	99.4%
22	98.8%	98.7%	99%	99.3%	99.2%	99.5%
21	98.8%	98.7%	99%	99.4%	99.2%	99.5%
20	98.9%	98.8%	99%	99.4%	99.3%	99.5%
19	98.9%	98.8%	99.1%	99.5%	99.4%	99.5%
18	99%	98.9%	99.1%	99.5%	99.4%	99.5%
17	99%	98.9%	99.1%	99.5%	99.5%	99.6%
16	99%	98.9%	99.1%	99.5%	99.5%	99.6%
15	99.1%	99%	99.2%	99.6%	99.5%	99.6%
14	99.1%	99%	99.2%	99.6%	99.5%	99.6%
13	99.1%	99%	99.2%	99.6%	99.5%	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%	99.6%
9	99.2%	99.2%	99.3%	99.6%	99.6%	99.6%
8	99.3%	99.2%	99.3%	99.6%	99.6%	99.6%
7	99.3%	99.2%	99.3%	99.6%	99.6%	99.7%
6	99.3%	99.3%	99.4%	99.6%	99.6%	99.7%
5	99.3%	99.3%	99.4%	99.6%	99.6%	99.7%
4	99.3%	99.3%	99.4%	99.6%	99.6%	99.7%
3	99.4%	99.3%	99.4%	99.7%	99.6%	99.7%
2	99.4%	99.4%	99.5%	99.7%	99.6%	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 89.8% in Poland are expected to live past 60, 80.9% and 77.8% past 70, 57.8% and 57.3% past 80, and only 20.2% and 23.7% 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

Poland

Male

Female

1x

Age	Probability of dying
	China			Poland
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	35.2%	35.8%	35%
99	38.1%	51.3%	36.1%	32.9%	33.8%	32.7%
98	35.7%	46.6%	33.6%	30.6%	31.7%	30.3%
97	33.1%	42.1%	30.9%	28.2%	29.5%	27.9%
96	30.5%	38.1%	28.4%	26%	27.4%	25.6%
95	28.2%	34.3%	26.2%	23.8%	25.7%	23.2%
94	25.9%	31%	24.1%	21.9%	24.1%	21.2%
93	23.4%	27.9%	21.7%	20%	22.2%	19.2%
92	20.8%	25.2%	19%	18%	19.9%	17.4%
91	18.5%	22.6%	16.6%	16.2%	17.8%	15.6%
90	16.7%	20.4%	14.9%	14.6%	16.3%	14%
89	15.1%	18.4%	13.3%	13.2%	15%	12.4%
88	13.6%	16.6%	11.9%	11.9%	13.7%	11.1%
87	12.4%	15%	10.8%	10.7%	12.5%	9.86%
86	11.2%	13.6%	9.72%	9.51%	11.3%	8.69%
85	10.1%	12.3%	8.73%	8.45%	10.2%	7.6%
84	9.17%	11.2%	7.82%	7.54%	9.38%	6.62%
83	8.24%	10.1%	6.95%	6.74%	8.58%	5.78%
82	7.35%	9.03%	6.12%	6.01%	7.72%	5.07%
81	6.51%	8.06%	5.36%	5.38%	7.03%	4.43%
80	5.75%	7.17%	4.67%	4.85%	6.46%	3.88%
79	5.09%	6.39%	4.07%	4.37%	5.87%	3.44%
78	4.52%	5.71%	3.56%	3.94%	5.35%	3.03%
77	4.03%	5.14%	3.15%	3.56%	4.9%	2.68%
76	3.62%	4.65%	2.8%	3.26%	4.51%	2.42%
75	3.27%	4.23%	2.5%	3.01%	4.16%	2.2%
74	2.98%	3.86%	2.25%	2.76%	3.83%	2%
73	2.69%	3.5%	2.02%	2.56%	3.56%	1.81%
72	2.45%	3.19%	1.81%	2.38%	3.34%	1.66%
71	2.26%	2.96%	1.66%	2.22%	3.13%	1.53%
70	2.04%	2.7%	1.47%	2.07%	2.91%	1.4%
69	1.76%	2.36%	1.22%	1.91%	2.71%	1.27%
68	1.58%	2.14%	1.08%	1.8%	2.56%	1.18%
67	1.48%	2.01%	1%	1.71%	2.44%	1.09%
66	1.37%	1.86%	0.91%	1.59%	2.28%	0.99%
65	1.26%	1.72%	0.83%	1.46%	2.1%	0.9%
64	1.17%	1.59%	0.76%	1.34%	1.92%	0.83%
63	1.06%	1.45%	0.69%	1.25%	1.78%	0.77%
62	0.95%	1.3%	0.61%	1.17%	1.66%	0.71%
61	0.83%	1.14%	0.53%	1.08%	1.53%	0.66%
60	0.73%	1%	0.46%	1%	1.43%	0.59%
59	0.64%	0.88%	0.41%	0.91%	1.31%	0.53%
58	0.57%	0.78%	0.36%	0.83%	1.19%	0.49%
57	0.52%	0.71%	0.33%	0.76%	1.09%	0.45%
56	0.48%	0.66%	0.31%	0.7%	1.01%	0.4%
55	0.45%	0.62%	0.29%	0.64%	0.92%	0.36%
54	0.43%	0.59%	0.27%	0.57%	0.83%	0.32%
53	0.41%	0.55%	0.26%	0.52%	0.75%	0.29%
52	0.38%	0.51%	0.24%	0.47%	0.68%	0.26%
51	0.34%	0.46%	0.22%	0.43%	0.63%	0.24%
50	0.3%	0.41%	0.19%	0.4%	0.58%	0.22%
49	0.27%	0.36%	0.17%	0.36%	0.52%	0.2%
48	0.24%	0.32%	0.15%	0.32%	0.47%	0.18%
47	0.22%	0.29%	0.14%	0.3%	0.43%	0.16%
46	0.2%	0.26%	0.13%	0.27%	0.4%	0.14%
45	0.18%	0.24%	0.12%	0.24%	0.35%	0.13%
44	0.17%	0.22%	0.11%	0.22%	0.32%	0.12%
43	0.16%	0.21%	0.11%	0.2%	0.29%	0.1%
42	0.14%	0.19%	0.1%	0.18%	0.26%	0.09%
41	0.13%	0.17%	0.09%	0.16%	0.24%	0.08%
40	0.12%	0.15%	0.08%	0.15%	0.21%	0.07%
39	0.1%	0.13%	0.07%	0.13%	0.2%	0.07%
38	0.1%	0.12%	0.07%	0.12%	0.18%	0.06%
37	0.09%	0.11%	0.06%	0.11%	0.17%	0.05%
36	0.08%	0.1%	0.06%	0.1%	0.16%	0.05%
35	0.08%	0.1%	0.06%	0.1%	0.15%	0.04%
34	0.08%	0.1%	0.06%	0.09%	0.13%	0.04%
33	0.08%	0.09%	0.05%	0.08%	0.13%	0.04%
32	0.07%	0.09%	0.05%	0.08%	0.12%	0.03%
31	0.07%	0.09%	0.05%	0.07%	0.11%	0.03%
30	0.07%	0.09%	0.05%	0.07%	0.1%	0.03%
29	0.07%	0.09%	0.05%	0.06%	0.1%	0.03%
28	0.07%	0.08%	0.05%	0.06%	0.09%	0.02%
27	0.07%	0.08%	0.05%	0.06%	0.09%	0.02%
26	0.07%	0.08%	0.05%	0.05%	0.09%	0.02%
25	0.06%	0.08%	0.05%	0.05%	0.08%	0.02%
24	0.06%	0.07%	0.05%	0.05%	0.08%	0.02%
23	0.06%	0.07%	0.04%	0.05%	0.08%	0.02%
22	0.05%	0.07%	0.04%	0.05%	0.07%	0.02%
21	0.05%	0.06%	0.04%	0.05%	0.07%	0.02%
20	0.05%	0.05%	0.03%	0.05%	0.07%	0.02%
19	0.04%	0.05%	0.03%	0.05%	0.07%	0.02%
18	0.04%	0.04%	0.03%	0.04%	0.05%	0.02%
17	0.03%	0.04%	0.03%	0.03%	0.04%	0.02%
16	0.03%	0.04%	0.02%	0.02%	0.03%	0.01%
15	0.03%	0.04%	0.02%	0.02%	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%	0.01%
12	0.03%	0.03%	0.02%	0.009%	0.01%	0.008%
11	0.03%	0.03%	0.02%	0.008%	0.009%	0.007%
10	0.03%	0.03%	0.02%	0.007%	0.008%	0.007%
9	0.03%	0.03%	0.02%	0.007%	0.008%	0.007%
8	0.03%	0.03%	0.02%	0.007%	0.008%	0.006%
7	0.02%	0.03%	0.02%	0.007%	0.008%	0.006%
6	0.02%	0.02%	0.02%	0.007%	0.007%	0.007%
5	0.02%	0.02%	0.02%	0.007%	0.007%	0.007%
4	0.02%	0.02%	0.03%	0.008%	0.009%	0.008%
3	0.03%	0.03%	0.03%	0.01%	0.01%	0.008%
2	0.04%	0.04%	0.04%	0.01%	0.01%	0.01%
1	0.05%	0.05%	0.05%	0.02%	0.02%	0.02%
0	0.54%	0.59%	0.49%	0.31%	0.33%	0.29%

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

The annual chance of dying is 0.54% in the birth year in China and 0.31% in Poland, 0.07% vs 0.07% at age 30, 0.73% vs 1% at 60, and 5.75% vs 4.85% at 80.

Death rate by age in China vs Poland

Chart Table

China

Male

Female

Poland

Male

Female

1x

Age	Death rate
	China			Poland
	Total	Male	Female	Total	Male	Female
100	145	0	355	457	198.4	678
99	505	196.9	819	803	442	1,123
98	735	334	1,147	1,073	608	1,490
97	1,018	523	1,530	1,382	801	1,904
96	1,350	762	1,962	1,718	1,025	2,344
95	1,738	1,046	2,458	2,067	1,293	2,778
94	2,153	1,368	2,972	2,429	1,596	3,206
93	2,544	1,713	3,413	2,771	1,891	3,605
92	2,856	2,061	3,693	3,053	2,122	3,941
91	3,108	2,396	3,865	3,272	2,305	4,195
90	3,366	2,708	4,066	3,457	2,520	4,362
89	3,582	2,988	4,200	3,591	2,729	4,439
88	3,745	3,232	4,268	3,670	2,901	4,443
87	3,880	3,440	4,326	3,693	3,019	4,388
86	3,965	3,608	4,325	3,639	3,074	4,239
85	3,995	3,731	4,256	3,529	3,098	4,009
84	3,972	3,803	4,134	3,406	3,135	3,741
83	3,891	3,816	3,953	3,266	3,138	3,465
82	3,745	3,764	3,707	3,097	3,058	3,201
81	3,550	3,655	3,426	2,933	2,997	2,927
80	3,328	3,503	3,132	2,777	2,941	2,668
79	3,103	3,332	2,846	2,620	2,843	2,447
78	2,884	3,160	2,586	2,455	2,736	2,224
77	2,680	2,998	2,356	2,303	2,635	2,020
76	2,497	2,846	2,155	2,181	2,541	1,868
75	2,336	2,704	1,979	2,070	2,444	1,741
74	2,190	2,566	1,823	1,957	2,341	1,611
73	2,034	2,410	1,665	1,858	2,258	1,491
72	1,895	2,269	1,525	1,773	2,188	1,387
71	1,792	2,168	1,415	1,693	2,115	1,295
70	1,654	2,034	1,272	1,607	2,030	1,204
69	1,448	1,822	1,069	1,517	1,939	1,111
68	1,325	1,689	956	1,455	1,885	1,037
67	1,260	1,614	898	1,402	1,839	971
66	1,179	1,527	825	1,327	1,762	895
65	1,103	1,438	761	1,238	1,654	822
64	1,030	1,348	703	1,154	1,544	758
63	946	1,247	635	1,086	1,456	709
62	853	1,133	564	1,026	1,377	664
61	757	1,009	498	960	1,295	615
60	668	892	436	895	1,221	556
59	590	791	383	828	1,141	505
58	527	706	342	760	1,042	468
57	482	645	313	701	966	426
56	451	603	292	648	905	381
55	427	572	276.5	594	835	344
54	408	546	263.3	540	759	310
53	387	518	249.2	487	688	277.2
52	360	482	231.3	446	630	253.4
51	327	438	210	413	584	233.9
50	290.9	390	187.2	381	542	212.3
49	257.4	344	166.1	346	490	194.7
48	229.6	306	149.2	312	441	177.5
47	208.9	276.7	137.2	284.9	407	156.7
46	192.8	253.9	128.1	260.5	377	137.8
45	178.6	234	119.7	235.2	339	125.8
44	165.2	215.7	111.4	212.3	305	114.4
43	152.2	198	103.3	191.5	277.5	101.1
42	139.1	180	95.4	171.9	253.5	86.2
41	126	161.9	87.5	155.1	230.4	75.9
40	113.4	144.6	79.7	142	207.7	73.1
39	102.3	129.3	72.9	130.8	192.3	66.3
38	93	116.7	67.2	120	178.8	58.2
37	86	107.2	62.7	109.4	162.7	53.4
36	81	100.6	59.2	101.8	153	47.9
35	77.6	96.3	56.7	94.9	144.9	42.3
34	75.4	93.5	55	86.6	132.3	38.4
33	73.9	91.7	53.8	80.2	122.8	35.3
32	72.9	90.3	53	77.7	120.9	32
31	71.6	88.7	51.9	72	112.1	29.6
30	70	86.7	50.7	65.7	101.7	27.8
29	68.3	84.6	49.4	62.6	97.3	26
28	67	82.9	48.7	59.2	92.6	24.2
27	65.8	81	48.1	55.8	87.9	22.2
26	64.1	78.3	47.4	53.7	85.5	20.3
25	62.2	75.4	46.7	52	82.9	19.8
24	60.3	72.7	45.8	50.2	78	21.1
23	57.6	69	44.1	48.7	75.6	20.5
22	53.9	64.4	41.5	47.2	74	19
21	49.4	59.1	38.1	45.5	71	18.6
20	44.8	53.7	34.3	45.4	69.1	20.5
19	40.4	48.5	30.8	45.8	67.1	23.5
18	36.6	44.2	27.6	37.6	52.5	21.9
17	33.6	40.9	25	26.6	35.4	17.5
16	31.4	38.5	23.1	20.7	27.2	13.9
15	30	36.9	21.9	16.9	20.6	13
14	29.2	35.9	21.3	13.9	15.1	12.7
13	28.7	35.2	21.2	11.3	12.1	10.5
12	28.2	34.1	21.3	9.24	10.4	8.01
11	27.5	32.7	21.6	7.85	8.67	6.99
10	27.6	32	22.6	7.42	8.11	6.7
9	27.6	31.1	23.5	7.38	8.17	6.56
8	26.3	28.8	23.3	7.17	7.98	6.31
7	24.2	25.8	22.4	7.03	7.74	6.28
6	22.5	23.1	21.8	7.06	7.44	6.65
5	22.3	22.3	22.4	7.33	7.3	7.36
4	24.6	24.2	25	8.19	8.63	7.73
3	29.6	29.3	29.9	9.77	11.4	8
2	36.1	35.9	36.3	12	12.4	11.5
1	45.9	46.8	44.9	20.6	22.4	18.6
0	540	585	490	310	333	285.4

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 87 in Poland. The median age of death is 82.3 in China and 82.5 in Poland, 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 Poland more than their death rates.

Life expectancy in other countries

+ -

1x