Life Expectancy in Poland vs Seychelles (1950-2026)

Life expectancy by current age

Chart Table

Poland

Male

Female

Seychelles

Male

Female

1x

Current age, years	Total life expectancy, years
	Poland			Seychelles
	Average	Male	Female	Average	Male	Female
100	102.2	102	102.3	102	101.8	102
99	101.3	101.1	101.4	101.1	100.9	101.1
98	100.5	100.3	100.5	100.2	100	100.2
97	99.6	99.5	99.7	99.3	99.2	99.3
96	98.8	98.7	98.9	98.4	98.3	98.5
95	98	97.8	98.1	97.6	97.4	97.6
94	97.3	97	97.3	96.8	96.6	96.8
93	96.5	96.3	96.6	95.9	95.7	96
92	95.8	95.5	95.9	95.1	94.9	95.2
91	95.1	94.8	95.2	94.4	94.1	94.5
90	94.4	94.1	94.5	93.6	93.3	93.7
89	93.8	93.4	93.9	92.9	92.5	93
88	93.1	92.7	93.3	92.1	91.8	92.3
87	92.5	92.1	92.7	91.4	91	91.6
86	92	91.4	92.2	90.7	90.3	90.9
85	91.4	90.8	91.7	90.1	89.6	90.3
84	90.9	90.2	91.2	89.4	88.9	89.7
83	90.4	89.7	90.8	88.8	88.2	89.1
82	89.9	89.1	90.3	88.1	87.5	88.5
81	89.5	88.6	90	87.6	86.9	88
80	89	88.1	89.6	87	86.2	87.5
79	88.6	87.6	89.2	86.4	85.6	87
78	88.2	87.1	88.9	85.9	85	86.5
77	87.8	86.6	88.6	85.4	84.5	86.1
76	87.5	86.1	88.3	84.9	83.9	85.6
75	87.1	85.7	88	84.4	83.4	85.3
74	86.8	85.3	87.8	83.9	82.9	84.9
73	86.4	84.9	87.5	83.5	82.4	84.5
72	86.1	84.4	87.3	83.1	81.9	84.2
71	85.8	84	87	82.7	81.4	83.9
70	85.5	83.6	86.8	82.3	80.9	83.6
69	85.1	83.3	86.6	81.9	80.5	83.3
68	84.8	82.9	86.4	81.5	80.1	83
67	84.6	82.5	86.1	81.2	79.7	82.8
66	84.3	82.1	86	80.9	79.3	82.5
65	84	81.8	85.8	80.6	78.9	82.3
64	83.7	81.5	85.6	80.3	78.5	82.1
63	83.5	81.1	85.4	80	78.2	81.9
62	83.2	80.8	85.3	79.7	77.9	81.7
61	83	80.5	85.1	79.4	77.5	81.5
60	82.8	80.2	85	79.2	77.2	81.3
59	82.6	80	84.8	79	76.9	81.1
58	82.4	79.7	84.7	78.7	76.7	81
57	82.2	79.5	84.6	78.5	76.4	80.8
56	82	79.2	84.5	78.3	76.1	80.7
55	81.8	79	84.4	78.1	75.9	80.6
54	81.7	78.8	84.3	77.9	75.7	80.4
53	81.5	78.6	84.2	77.7	75.4	80.3
52	81.4	78.5	84.1	77.5	75.2	80.2
51	81.3	78.3	84	77.4	75	80
50	81.1	78.1	83.9	77.2	74.8	79.9
49	81	78	83.9	77	74.7	79.8
48	80.9	77.8	83.8	76.9	74.5	79.7
47	80.8	77.7	83.7	76.7	74.3	79.6
46	80.7	77.6	83.7	76.6	74.1	79.5
45	80.6	77.5	83.6	76.4	73.9	79.5
44	80.6	77.4	83.6	76.3	73.8	79.4
43	80.5	77.3	83.6	76.2	73.6	79.3
42	80.4	77.2	83.5	76.1	73.5	79.3
41	80.4	77.1	83.5	76	73.4	79.2
40	80.3	77	83.5	75.9	73.3	79.2
39	80.2	76.9	83.4	75.8	73.2	79.1
38	80.2	76.9	83.4	75.7	73.1	79
37	80.1	76.8	83.4	75.7	73	79
36	80.1	76.7	83.4	75.6	72.9	78.9
35	80.1	76.7	83.3	75.5	72.8	78.8
34	80	76.6	83.3	75.4	72.8	78.7
33	80	76.6	83.3	75.3	72.7	78.7
32	79.9	76.5	83.3	75.2	72.6	78.6
31	79.9	76.5	83.3	75.2	72.5	78.5
30	79.9	76.4	83.3	75.1	72.4	78.5
29	79.8	76.4	83.2	75	72.3	78.4
28	79.8	76.3	83.2	74.9	72.2	78.4
27	79.8	76.3	83.2	74.9	72.2	78.3
26	79.8	76.2	83.2	74.8	72.1	78.3
25	79.7	76.2	83.2	74.7	72	78.2
24	79.7	76.2	83.2	74.7	72	78.2
23	79.7	76.1	83.2	74.6	71.9	78.1
22	79.6	76.1	83.2	74.6	71.8	78.1
21	79.6	76	83.1	74.5	71.7	78
20	79.6	76	83.1	74.5	71.7	78
19	79.6	76	83.1	74.4	71.6	78
18	79.5	75.9	83.1	74.4	71.6	78
17	79.5	75.9	83.1	74.4	71.5	78
16	79.5	75.9	83.1	74.3	71.5	78
15	79.5	75.9	83.1	74.3	71.5	78
14	79.5	75.9	83.1	74.3	71.4	77.9
13	79.5	75.9	83.1	74.3	71.4	77.9
12	79.5	75.9	83.1	74.3	71.4	77.9
11	79.5	75.9	83	74.3	71.4	77.9
10	79.5	75.8	83	74.2	71.4	77.9
9	79.5	75.8	83	74.2	71.3	77.9
8	79.5	75.8	83	74.2	71.3	77.9
7	79.4	75.8	83	74.2	71.3	77.9
6	79.4	75.8	83	74.2	71.3	77.8
5	79.4	75.8	83	74.1	71.3	77.8
4	79.4	75.8	83	74.1	71.2	77.8
3	79.4	75.8	83	74.1	71.2	77.8
2	79.4	75.8	83	74	71.2	77.7
1	79.4	75.8	83	74	71.1	77.7
0	79.2	75.5	82.7	73.3	70.4	77

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 Poland can expect to live to 79.9 years compared to 75.1 in the Seychelles, rising to 84 and 80.6 at 65, and to 89 and 87 at 80 — higher than the 79.2 and 73.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Poland

Male

Female

Seychelles

Male

Female

1x

Age	Survival probability
	Poland			Seychelles
	Average	Male	Female	Average	Male	Female
100	1.63%	0.87%	2.31%	0.38%	0.17%	0.6%
99	2.44%	1.31%	3.43%	0.6%	0.28%	0.95%
98	3.51%	1.92%	4.92%	0.91%	0.44%	1.44%
97	4.89%	2.72%	6.83%	1.36%	0.67%	2.13%
96	6.61%	3.74%	9.17%	1.97%	0.99%	3.05%
95	8.68%	5.04%	11.9%	2.77%	1.44%	4.25%
94	11.1%	6.63%	15.2%	3.78%	2.03%	5.75%
93	13.9%	8.52%	18.8%	5.04%	2.8%	7.59%
92	16.9%	10.6%	22.7%	6.56%	3.77%	9.78%
91	20.2%	12.9%	26.9%	8.35%	4.95%	12.3%
90	23.7%	15.5%	31.3%	10.4%	6.35%	15.2%
89	27.3%	18.2%	35.7%	12.7%	7.99%	18.4%
88	30.9%	21.1%	40.1%	15.3%	9.87%	21.8%
87	34.6%	24.1%	44.5%	18%	12%	25.5%
86	38.3%	27.2%	48.8%	21%	14.3%	29.3%
85	41.8%	30.3%	52.8%	24.1%	16.8%	33.2%
84	45.2%	33.4%	56.5%	27.3%	19.5%	37.1%
83	48.5%	36.6%	60%	30.6%	22.3%	41%
82	51.6%	39.6%	63.2%	33.9%	25.3%	44.9%
81	54.5%	42.6%	66.1%	37.3%	28.3%	48.6%
80	57.3%	45.6%	68.8%	40.5%	31.4%	52.2%
79	59.9%	48.4%	71.2%	43.8%	34.5%	55.6%
78	62.3%	51.1%	73.4%	46.9%	37.6%	58.8%
77	64.6%	53.8%	75.5%	50%	40.7%	61.9%
76	66.8%	56.3%	77.3%	53%	43.8%	64.7%
75	68.9%	58.8%	79.1%	55.8%	46.7%	67.4%
74	70.8%	61.1%	80.7%	58.6%	49.6%	69.8%
73	72.7%	63.4%	82.2%	61.1%	52.5%	72.1%
72	74.5%	65.5%	83.6%	63.6%	55.2%	74.1%
71	76.2%	67.7%	84.9%	65.9%	57.8%	76%
70	77.8%	69.7%	86.1%	68.1%	60.3%	77.8%
69	79.3%	71.6%	87.2%	70.1%	62.7%	79.4%
68	80.7%	73.5%	88.2%	72.1%	65%	80.8%
67	82.2%	75.4%	89.2%	73.9%	67.2%	82.2%
66	83.5%	77.1%	90.1%	75.6%	69.2%	83.4%
65	84.7%	78.8%	90.9%	77.1%	71.2%	84.6%
64	85.9%	80.3%	91.7%	78.6%	73%	85.6%
63	87%	81.8%	92.4%	79.9%	74.8%	86.6%
62	88%	83.1%	93%	81.2%	76.4%	87.5%
61	88.9%	84.4%	93.6%	82.4%	77.9%	88.3%
60	89.8%	85.7%	94.2%	83.5%	79.3%	89%
59	90.7%	86.8%	94.7%	84.5%	80.7%	89.7%
58	91.4%	87.8%	95.2%	85.5%	81.9%	90.4%
57	92.1%	88.8%	95.6%	86.4%	83.1%	90.9%
56	92.8%	89.7%	96%	87.2%	84.2%	91.5%
55	93.4%	90.5%	96.3%	88%	85.2%	92%
54	93.9%	91.3%	96.6%	88.7%	86.1%	92.4%
53	94.4%	92%	96.9%	89.4%	87%	92.8%
52	94.8%	92.6%	97.2%	90%	87.8%	93.3%
51	95.3%	93.2%	97.4%	90.6%	88.6%	93.7%
50	95.6%	93.8%	97.6%	91.2%	89.2%	94.1%
49	96%	94.2%	97.8%	91.7%	89.9%	94.4%
48	96.3%	94.7%	98%	92.2%	90.5%	94.8%
47	96.6%	95.1%	98.1%	92.7%	91.1%	95.1%
46	96.8%	95.5%	98.3%	93.2%	91.7%	95.3%
45	97.1%	95.8%	98.4%	93.6%	92.3%	95.5%
44	97.3%	96.1%	98.5%	94%	92.8%	95.7%
43	97.5%	96.4%	98.6%	94.3%	93.3%	95.8%
42	97.6%	96.6%	98.7%	94.6%	93.7%	95.9%
41	97.8%	96.9%	98.8%	94.9%	94%	96.1%
40	97.9%	97.1%	98.9%	95.2%	94.3%	96.2%
39	98.1%	97.3%	98.9%	95.4%	94.6%	96.4%
38	98.2%	97.5%	99%	95.6%	94.8%	96.5%
37	98.3%	97.6%	99%	95.8%	95%	96.7%
36	98.4%	97.8%	99.1%	96%	95.2%	96.8%
35	98.5%	97.9%	99.1%	96.2%	95.4%	97%
34	98.6%	98%	99.2%	96.3%	95.7%	97.2%
33	98.7%	98.2%	99.2%	96.5%	95.9%	97.3%
32	98.7%	98.3%	99.2%	96.7%	96.1%	97.5%
31	98.8%	98.4%	99.3%	96.9%	96.3%	97.6%
30	98.9%	98.5%	99.3%	97.1%	96.5%	97.7%
29	98.9%	98.6%	99.3%	97.2%	96.7%	97.8%
28	99%	98.7%	99.3%	97.4%	96.9%	97.9%
27	99.1%	98.8%	99.4%	97.5%	97%	98%
26	99.1%	98.9%	99.4%	97.6%	97.2%	98.1%
25	99.2%	98.9%	99.4%	97.8%	97.3%	98.2%
24	99.2%	99%	99.4%	97.9%	97.5%	98.3%
23	99.3%	99.1%	99.4%	98%	97.6%	98.4%
22	99.3%	99.2%	99.5%	98.1%	97.8%	98.5%
21	99.4%	99.2%	99.5%	98.2%	97.9%	98.6%
20	99.4%	99.3%	99.5%	98.3%	98%	98.6%
19	99.5%	99.4%	99.5%	98.4%	98.1%	98.6%
18	99.5%	99.4%	99.5%	98.5%	98.2%	98.7%
17	99.5%	99.5%	99.6%	98.5%	98.3%	98.7%
16	99.5%	99.5%	99.6%	98.5%	98.4%	98.7%
15	99.6%	99.5%	99.6%	98.6%	98.4%	98.7%
14	99.6%	99.5%	99.6%	98.6%	98.5%	98.7%
13	99.6%	99.5%	99.6%	98.6%	98.5%	98.7%
12	99.6%	99.6%	99.6%	98.6%	98.5%	98.8%
11	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
10	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
9	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
8	99.6%	99.6%	99.6%	98.7%	98.6%	98.8%
7	99.6%	99.6%	99.7%	98.8%	98.7%	98.9%
6	99.6%	99.6%	99.7%	98.8%	98.7%	98.9%
5	99.6%	99.6%	99.7%	98.8%	98.7%	98.9%
4	99.6%	99.6%	99.7%	98.9%	98.8%	99%
3	99.7%	99.6%	99.7%	98.9%	98.8%	99%
2	99.7%	99.6%	99.7%	99%	98.9%	99.1%
1	99.7%	99.7%	99.7%	99%	98.9%	99.1%

This chart shows the odds of living to each age from birth. 89.8% of newborns in Poland and 83.5% in the Seychelles are expected to live past 60, 77.8% and 68.1% past 70, 57.3% and 40.5% past 80, and only 23.7% and 10.4% past 90.

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

Odds of dying at each age

Chart Table

Poland

Male

Female

Seychelles

Male

Female

1x

Age	Probability of dying
	Poland			Seychelles
	Average	Male	Female	Average	Male	Female
100	35.2%	35.8%	35%	38.8%	40.4%	38.5%
99	32.9%	33.8%	32.7%	36.8%	38.5%	36.4%
98	30.6%	31.7%	30.3%	34.9%	36.7%	34.3%
97	28.2%	29.5%	27.9%	32.9%	34.8%	32.2%
96	26%	27.4%	25.6%	30.9%	32.9%	30.2%
95	23.8%	25.7%	23.2%	28.8%	31%	28.1%
94	21.9%	24.1%	21.2%	26.8%	29.2%	26.2%
93	20%	22.2%	19.2%	25%	27.4%	24.2%
92	18%	19.9%	17.4%	23.2%	25.6%	22.4%
91	16.2%	17.8%	15.6%	21.5%	23.8%	20.6%
90	14.6%	16.3%	14%	19.8%	22.1%	18.9%
89	13.2%	15%	12.4%	18.2%	20.5%	17.3%
88	11.9%	13.7%	11.1%	16.7%	19%	15.8%
87	10.7%	12.5%	9.86%	15.3%	17.6%	14.4%
86	9.51%	11.3%	8.69%	14%	16.2%	13%
85	8.45%	10.2%	7.6%	12.8%	15%	11.8%
84	7.54%	9.38%	6.62%	11.8%	13.8%	10.6%
83	6.74%	8.58%	5.78%	10.8%	12.7%	9.54%
82	6.01%	7.72%	5.07%	9.85%	11.7%	8.56%
81	5.38%	7.03%	4.43%	8.91%	10.7%	7.67%
80	4.85%	6.46%	3.88%	8.1%	9.84%	6.87%
79	4.37%	5.87%	3.44%	7.4%	9.03%	6.15%
78	3.94%	5.35%	3.03%	6.74%	8.28%	5.5%
77	3.56%	4.9%	2.68%	6.11%	7.59%	4.92%
76	3.26%	4.51%	2.42%	5.6%	6.96%	4.39%
75	3.01%	4.16%	2.2%	5.14%	6.38%	3.92%
74	2.76%	3.83%	2%	4.64%	5.86%	3.5%
73	2.56%	3.56%	1.81%	4.2%	5.38%	3.12%
72	2.38%	3.34%	1.66%	3.86%	4.94%	2.79%
71	2.22%	3.13%	1.53%	3.53%	4.53%	2.5%
70	2.07%	2.91%	1.4%	3.2%	4.16%	2.25%
69	1.91%	2.71%	1.27%	2.94%	3.83%	2.02%
68	1.8%	2.56%	1.18%	2.69%	3.52%	1.82%
67	1.71%	2.44%	1.09%	2.45%	3.24%	1.64%
66	1.59%	2.28%	0.99%	2.23%	2.98%	1.48%
65	1.46%	2.1%	0.9%	2.03%	2.74%	1.35%
64	1.34%	1.92%	0.83%	1.85%	2.52%	1.23%
63	1.25%	1.78%	0.77%	1.69%	2.32%	1.12%
62	1.17%	1.66%	0.71%	1.57%	2.13%	1.02%
61	1.08%	1.53%	0.66%	1.44%	1.96%	0.92%
60	1%	1.43%	0.59%	1.32%	1.8%	0.84%
59	0.91%	1.31%	0.53%	1.21%	1.66%	0.77%
58	0.83%	1.19%	0.49%	1.1%	1.53%	0.7%
57	0.76%	1.09%	0.45%	1.03%	1.4%	0.64%
56	0.7%	1.01%	0.4%	0.97%	1.29%	0.58%
55	0.64%	0.92%	0.36%	0.89%	1.19%	0.52%
54	0.57%	0.83%	0.32%	0.82%	1.09%	0.48%
53	0.52%	0.75%	0.29%	0.77%	1%	0.47%
52	0.47%	0.68%	0.26%	0.71%	0.91%	0.46%
51	0.43%	0.63%	0.24%	0.66%	0.83%	0.44%
50	0.4%	0.58%	0.22%	0.62%	0.77%	0.42%
49	0.36%	0.52%	0.2%	0.58%	0.72%	0.39%
48	0.32%	0.47%	0.18%	0.54%	0.69%	0.34%
47	0.3%	0.43%	0.16%	0.51%	0.66%	0.3%
46	0.27%	0.4%	0.14%	0.48%	0.63%	0.25%
45	0.24%	0.35%	0.13%	0.44%	0.61%	0.21%
44	0.22%	0.32%	0.12%	0.42%	0.57%	0.18%
43	0.2%	0.29%	0.1%	0.38%	0.51%	0.15%
42	0.18%	0.26%	0.09%	0.33%	0.45%	0.14%
41	0.16%	0.24%	0.08%	0.29%	0.38%	0.14%
40	0.15%	0.21%	0.07%	0.25%	0.32%	0.14%
39	0.13%	0.2%	0.07%	0.23%	0.27%	0.15%
38	0.12%	0.18%	0.06%	0.21%	0.24%	0.16%
37	0.11%	0.17%	0.05%	0.2%	0.22%	0.17%
36	0.1%	0.16%	0.05%	0.2%	0.21%	0.18%
35	0.1%	0.15%	0.04%	0.2%	0.22%	0.18%
34	0.09%	0.13%	0.04%	0.2%	0.22%	0.17%
33	0.08%	0.13%	0.04%	0.2%	0.23%	0.16%
32	0.08%	0.12%	0.03%	0.2%	0.23%	0.14%
31	0.07%	0.11%	0.03%	0.19%	0.22%	0.13%
30	0.07%	0.1%	0.03%	0.17%	0.21%	0.12%
29	0.06%	0.1%	0.03%	0.16%	0.19%	0.11%
28	0.06%	0.09%	0.02%	0.14%	0.17%	0.1%
27	0.06%	0.09%	0.02%	0.14%	0.16%	0.1%
26	0.05%	0.09%	0.02%	0.13%	0.16%	0.1%
25	0.05%	0.08%	0.02%	0.13%	0.15%	0.11%
24	0.05%	0.08%	0.02%	0.13%	0.15%	0.11%
23	0.05%	0.08%	0.02%	0.13%	0.15%	0.1%
22	0.05%	0.07%	0.02%	0.12%	0.15%	0.08%
21	0.05%	0.07%	0.02%	0.1%	0.14%	0.06%
20	0.05%	0.07%	0.02%	0.09%	0.13%	0.04%
19	0.05%	0.07%	0.02%	0.07%	0.11%	0.03%
18	0.04%	0.05%	0.02%	0.06%	0.1%	0.02%
17	0.03%	0.04%	0.02%	0.05%	0.08%	0.02%
16	0.02%	0.03%	0.01%	0.04%	0.06%	0.02%
15	0.02%	0.02%	0.01%	0.03%	0.05%	0.01%
14	0.01%	0.02%	0.01%	0.03%	0.04%	0.01%
13	0.01%	0.01%	0.01%	0.02%	0.03%	0.02%
12	0.009%	0.01%	0.008%	0.02%	0.03%	0.02%
11	0.008%	0.009%	0.007%	0.02%	0.03%	0.02%
10	0.007%	0.008%	0.007%	0.02%	0.02%	0.02%
9	0.007%	0.008%	0.007%	0.02%	0.02%	0.02%
8	0.007%	0.008%	0.006%	0.02%	0.03%	0.02%
7	0.007%	0.008%	0.006%	0.03%	0.03%	0.02%
6	0.007%	0.007%	0.007%	0.03%	0.03%	0.03%
5	0.007%	0.007%	0.007%	0.03%	0.04%	0.03%
4	0.008%	0.009%	0.008%	0.04%	0.04%	0.04%
3	0.01%	0.01%	0.008%	0.05%	0.05%	0.05%
2	0.01%	0.01%	0.01%	0.06%	0.06%	0.06%
1	0.02%	0.02%	0.02%	0.07%	0.07%	0.07%
0	0.31%	0.33%	0.29%	0.97%	1.06%	0.87%

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

The annual chance of dying is 0.31% in the birth year in Poland and 0.97% in the Seychelles, 0.07% vs 0.17% at age 30, 1% vs 1.32% at 60, and 4.85% vs 8.1% at 80.

Death rate by age in Poland vs Seychelles

Chart Table

Poland

Male

Female

Seychelles

Male

Female

1x

Age	Death rate
	Poland			Seychelles
	Total	Male	Female	Total	Male	Female
100	457	198.4	678	45	0	91.5
99	803	442	1,123	218.8	106.3	345
98	1,073	608	1,490	318	159.6	496
97	1,382	801	1,904	449	231.9	687
96	1,718	1,025	2,344	609	327	921
95	2,067	1,293	2,778	795	447	1,195
94	2,429	1,596	3,206	1,013	594	1,505
93	2,771	1,891	3,605	1,260	769	1,840
92	3,053	2,122	3,941	1,520	965	2,186
91	3,272	2,305	4,195	1,791	1,179	2,532
90	3,457	2,520	4,362	2,062	1,406	2,867
89	3,591	2,729	4,439	2,315	1,640	3,175
88	3,670	2,901	4,443	2,550	1,873	3,443
87	3,693	3,019	4,388	2,758	2,101	3,659
86	3,639	3,074	4,239	2,937	2,315	3,814
85	3,529	3,098	4,009	3,088	2,512	3,906
84	3,406	3,135	3,741	3,218	2,686	3,937
83	3,266	3,138	3,465	3,318	2,833	3,912
82	3,097	3,058	3,201	3,344	2,950	3,840
81	2,933	2,997	2,927	3,319	3,035	3,729
80	2,777	2,941	2,668	3,283	3,090	3,586
79	2,620	2,843	2,447	3,240	3,116	3,421
78	2,455	2,736	2,224	3,162	3,115	3,238
77	2,303	2,635	2,020	3,057	3,090	3,043
76	2,181	2,541	1,868	2,965	3,045	2,841
75	2,070	2,444	1,741	2,868	2,983	2,638
74	1,957	2,341	1,611	2,718	2,908	2,441
73	1,858	2,258	1,491	2,569	2,821	2,251
72	1,773	2,188	1,387	2,457	2,724	2,072
71	1,693	2,115	1,295	2,326	2,620	1,904
70	1,607	2,030	1,204	2,179	2,511	1,748
69	1,517	1,939	1,111	2,059	2,400	1,604
68	1,455	1,885	1,037	1,942	2,287	1,471
67	1,402	1,839	971	1,811	2,174	1,348
66	1,327	1,762	895	1,683	2,061	1,237
65	1,238	1,654	822	1,565	1,948	1,139
64	1,154	1,544	758	1,450	1,839	1,051
63	1,086	1,456	709	1,354	1,732	967
62	1,026	1,377	664	1,271	1,628	889
61	960	1,295	615	1,183	1,527	817
60	895	1,221	556	1,100	1,430	750
59	828	1,141	505	1,023	1,338	688
58	760	1,042	468	944	1,251	630
57	701	966	426	888	1,167	579
56	648	905	381	843	1,087	531
55	594	835	344	784	1,013	482
54	540	759	310	730	941	447
53	487	688	277.2	684	867	435
52	446	630	253.4	639	799	428
51	413	584	233.9	601	738	416
50	381	542	212.3	567	689	396
49	346	490	194.7	532	651	365
48	312	441	177.5	502	623	326
47	284.9	407	156.7	474	601	281.1
46	260.5	377	137.8	444	582	236.3
45	235.2	339	125.8	415	559	197.6
44	212.3	305	114.4	391	525	167.7
43	191.5	277.5	101.1	359	479	147.3
42	171.9	253.5	86.2	316	420	136.2
41	155.1	230.4	75.9	275.9	358	133.2
40	142	207.7	73.1	242.1	302	136.8
39	130.8	192.3	66.3	216.2	256.8	145.4
38	120	178.8	58.2	200.4	225.7	156.4
37	109.4	162.7	53.4	193.3	208.7	166.9
36	101.8	153	47.9	192.2	203.5	173.6
35	94.9	144.9	42.3	194.5	206.7	174.3
34	86.6	132.3	38.4	196.8	214.2	168
33	80.2	122.8	35.3	195.4	220.9	156.2
32	77.7	120.9	32	189.8	221.8	141.2
31	72	112.1	29.6	179.9	214.5	126.1
30	65.7	101.7	27.8	165.8	200.9	113
29	62.6	97.3	26	151.7	184.1	103.5
28	59.2	92.6	24.2	140.9	169	98.7
27	55.8	87.9	22.2	133.5	157.9	98.1
26	53.7	85.5	20.3	129.9	151.5	100.8
25	52	82.9	19.8	129.3	149	103.9
24	50.2	78	21.1	128.3	148.5	103.5
23	48.7	75.6	20.5	123.3	147.9	95.2
22	47.2	74	19	114.1	145.1	80.1
21	45.5	71	18.6	101.4	138.2	61.5
20	45.4	69.1	20.5	86.9	126.9	44
19	45.8	67.1	23.5	72.3	111.5	31.3
18	37.6	52.5	21.9	59.1	94.3	23
17	26.6	35.4	17.5	47.7	77.1	18
16	20.7	27.2	13.9	38.6	61.6	15.4
15	16.9	20.6	13	31.9	49	14.4
14	13.9	15.1	12.7	27	39.3	14.3
13	11.3	12.1	10.5	23.9	32.5	14.9
12	9.24	10.4	8.01	22.1	28	15.8
11	7.85	8.67	6.99	21.3	25.4	16.9
10	7.42	8.11	6.7	21.3	24.3	18
9	7.38	8.17	6.56	22	24.5	19.3
8	7.17	7.98	6.31	23.3	25.6	20.8
7	7.03	7.74	6.28	25.5	27.9	22.9
6	7.06	7.44	6.65	28.7	31.4	26
5	7.33	7.3	7.36	33.4	36.1	30.5
4	8.19	8.63	7.73	39.5	42	36.8
3	9.77	11.4	8	47.3	49.3	45.3
2	12	12.4	11.5	57.5	58.3	56.8
1	20.6	22.4	18.6	70.5	69.1	71.9
0	310	333	285.4	967	1,060	872

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 Poland, the most common age of death is 87, compared to 82 in the Seychelles. The median age of death is 82.5 in Poland and 77 in the Seychelles, 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 Poland and the Seychelles more than their death rates.

Life expectancy in other countries

+ -

1x