Life Expectancy in Luxembourg vs Seychelles (1950-2026)

Life expectancy by current age

Chart Table

Luxembourg

Male

Female

Seychelles

Male

Female

1x

Current age, years	Total life expectancy, years
	Luxembourg			Seychelles
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.1	102	101.8	102
99	101.2	101.1	101.2	101.1	100.9	101.1
98	100.4	100.2	100.4	100.2	100	100.2
97	99.5	99.4	99.6	99.3	99.2	99.3
96	98.7	98.5	98.8	98.4	98.3	98.5
95	98	97.7	98.1	97.6	97.4	97.6
94	97.2	97	97.3	96.8	96.6	96.8
93	96.5	96.2	96.6	95.9	95.7	96
92	95.8	95.5	95.9	95.1	94.9	95.2
91	95.1	94.7	95.3	94.4	94.1	94.5
90	94.5	94.1	94.7	93.6	93.3	93.7
89	93.8	93.4	94.1	92.9	92.5	93
88	93.2	92.8	93.5	92.1	91.8	92.3
87	92.7	92.1	93	91.4	91	91.6
86	92.1	91.6	92.5	90.7	90.3	90.9
85	91.6	91	92	90.1	89.6	90.3
84	91.1	90.5	91.6	89.4	88.9	89.7
83	90.7	90	91.2	88.8	88.2	89.1
82	90.3	89.5	90.8	88.1	87.5	88.5
81	89.9	89.1	90.4	87.6	86.9	88
80	89.5	88.7	90.1	87	86.2	87.5
79	89.2	88.3	89.8	86.4	85.6	87
78	88.8	88	89.5	85.9	85	86.5
77	88.5	87.6	89.3	85.4	84.5	86.1
76	88.2	87.3	89	84.9	83.9	85.6
75	87.9	87	88.8	84.4	83.4	85.3
74	87.7	86.7	88.5	83.9	82.9	84.9
73	87.4	86.4	88.3	83.5	82.4	84.5
72	87.2	86.1	88.1	83.1	81.9	84.2
71	86.9	85.8	87.9	82.7	81.4	83.9
70	86.7	85.5	87.7	82.3	80.9	83.6
69	86.5	85.3	87.6	81.9	80.5	83.3
68	86.3	85	87.4	81.5	80.1	83
67	86.1	84.8	87.2	81.2	79.7	82.8
66	85.9	84.6	87.1	80.9	79.3	82.5
65	85.7	84.4	86.9	80.6	78.9	82.3
64	85.5	84.2	86.8	80.3	78.5	82.1
63	85.4	84	86.7	80	78.2	81.9
62	85.2	83.8	86.6	79.7	77.9	81.7
61	85.1	83.7	86.4	79.4	77.5	81.5
60	85	83.5	86.3	79.2	77.2	81.3
59	84.8	83.4	86.2	79	76.9	81.1
58	84.7	83.2	86.2	78.7	76.7	81
57	84.6	83.1	86.1	78.5	76.4	80.8
56	84.5	83	86	78.3	76.1	80.7
55	84.4	82.9	85.9	78.1	75.9	80.6
54	84.3	82.7	85.9	77.9	75.7	80.4
53	84.2	82.6	85.8	77.7	75.4	80.3
52	84.1	82.6	85.7	77.5	75.2	80.2
51	84.1	82.5	85.7	77.4	75	80
50	84	82.4	85.6	77.2	74.8	79.9
49	83.9	82.3	85.6	77	74.7	79.8
48	83.9	82.3	85.5	76.9	74.5	79.7
47	83.8	82.2	85.5	76.7	74.3	79.6
46	83.8	82.1	85.4	76.6	74.1	79.5
45	83.7	82.1	85.4	76.4	73.9	79.5
44	83.7	82.1	85.4	76.3	73.8	79.4
43	83.7	82	85.3	76.2	73.6	79.3
42	83.6	82	85.3	76.1	73.5	79.3
41	83.6	82	85.3	76	73.4	79.2
40	83.6	81.9	85.2	75.9	73.3	79.2
39	83.6	81.9	85.2	75.8	73.2	79.1
38	83.5	81.9	85.2	75.7	73.1	79
37	83.5	81.8	85.2	75.7	73	79
36	83.5	81.8	85.2	75.6	72.9	78.9
35	83.5	81.8	85.1	75.5	72.8	78.8
34	83.5	81.8	85.1	75.4	72.8	78.7
33	83.4	81.8	85.1	75.3	72.7	78.7
32	83.4	81.7	85.1	75.2	72.6	78.6
31	83.4	81.7	85	75.2	72.5	78.5
30	83.4	81.7	85	75.1	72.4	78.5
29	83.3	81.7	85	75	72.3	78.4
28	83.3	81.6	85	74.9	72.2	78.4
27	83.3	81.6	84.9	74.9	72.2	78.3
26	83.3	81.6	84.9	74.8	72.1	78.3
25	83.2	81.6	84.9	74.7	72	78.2
24	83.2	81.6	84.9	74.7	72	78.2
23	83.2	81.6	84.8	74.6	71.9	78.1
22	83.2	81.5	84.8	74.6	71.8	78.1
21	83.2	81.5	84.8	74.5	71.7	78
20	83.1	81.5	84.8	74.5	71.7	78
19	83.1	81.5	84.7	74.4	71.6	78
18	83.1	81.5	84.7	74.4	71.6	78
17	83.1	81.4	84.7	74.4	71.5	78
16	83.1	81.4	84.7	74.3	71.5	78
15	83	81.4	84.6	74.3	71.5	78
14	83	81.4	84.6	74.3	71.4	77.9
13	83	81.4	84.6	74.3	71.4	77.9
12	83	81.4	84.6	74.3	71.4	77.9
11	83	81.4	84.5	74.3	71.4	77.9
10	83	81.4	84.5	74.2	71.4	77.9
9	83	81.4	84.5	74.2	71.3	77.9
8	82.9	81.4	84.5	74.2	71.3	77.9
7	82.9	81.4	84.5	74.2	71.3	77.9
6	82.9	81.4	84.4	74.2	71.3	77.8
5	82.9	81.4	84.4	74.1	71.3	77.8
4	82.9	81.4	84.4	74.1	71.2	77.8
3	82.9	81.4	84.4	74.1	71.2	77.8
2	82.9	81.4	84.4	74	71.2	77.7
1	82.9	81.3	84.4	74	71.1	77.7
0	82.6	81.1	84.2	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 Luxembourg can expect to live to 83.4 years compared to 75.1 in the Seychelles, rising to 85.7 and 80.6 at 65, and to 89.5 and 87 at 80 — higher than the 82.6 and 73.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Luxembourg

Male

Female

Seychelles

Male

Female

1x

Age	Survival probability
	Luxembourg			Seychelles
	Average	Male	Female	Average	Male	Female
100	2.14%	1.24%	2.89%	0.38%	0.17%	0.6%
99	3.21%	1.93%	4.3%	0.6%	0.28%	0.95%
98	4.66%	2.9%	6.16%	0.91%	0.44%	1.44%
97	6.52%	4.21%	8.52%	1.36%	0.67%	2.13%
96	8.83%	5.91%	11.4%	1.97%	0.99%	3.05%
95	11.6%	8.03%	14.8%	2.77%	1.44%	4.25%
94	14.8%	10.6%	18.6%	3.78%	2.03%	5.75%
93	18.4%	13.6%	22.9%	5.04%	2.8%	7.59%
92	22.4%	17%	27.4%	6.56%	3.77%	9.78%
91	26.6%	20.7%	32.1%	8.35%	4.95%	12.3%
90	31%	24.7%	36.9%	10.4%	6.35%	15.2%
89	35.5%	28.9%	41.7%	12.7%	7.99%	18.4%
88	40%	33.2%	46.4%	15.3%	9.87%	21.8%
87	44.3%	37.6%	50.9%	18%	12%	25.5%
86	48.6%	41.9%	55.2%	21%	14.3%	29.3%
85	52.6%	46.1%	59.2%	24.1%	16.8%	33.2%
84	56.5%	50.1%	62.9%	27.3%	19.5%	37.1%
83	60%	53.9%	66.2%	30.6%	22.3%	41%
82	63.3%	57.5%	69.3%	33.9%	25.3%	44.9%
81	66.3%	60.7%	72%	37.3%	28.3%	48.6%
80	68.9%	63.7%	74.4%	40.5%	31.4%	52.2%
79	71.4%	66.4%	76.5%	43.8%	34.5%	55.6%
78	73.6%	68.9%	78.5%	46.9%	37.6%	58.8%
77	75.7%	71.2%	80.3%	50%	40.7%	61.9%
76	77.6%	73.4%	81.9%	53%	43.8%	64.7%
75	79.4%	75.5%	83.4%	55.8%	46.7%	67.4%
74	81%	77.4%	84.8%	58.6%	49.6%	69.8%
73	82.6%	79.2%	86.1%	61.1%	52.5%	72.1%
72	83.9%	80.9%	87.2%	63.6%	55.2%	74.1%
71	85.2%	82.4%	88.2%	65.9%	57.8%	76%
70	86.4%	83.9%	89.1%	68.1%	60.3%	77.8%
69	87.5%	85.2%	90%	70.1%	62.7%	79.4%
68	88.6%	86.5%	90.8%	72.1%	65%	80.8%
67	89.5%	87.6%	91.5%	73.9%	67.2%	82.2%
66	90.4%	88.6%	92.2%	75.6%	69.2%	83.4%
65	91.1%	89.6%	92.8%	77.1%	71.2%	84.6%
64	91.9%	90.5%	93.3%	78.6%	73%	85.6%
63	92.5%	91.3%	93.9%	79.9%	74.8%	86.6%
62	93.2%	92.1%	94.3%	81.2%	76.4%	87.5%
61	93.7%	92.8%	94.8%	82.4%	77.9%	88.3%
60	94.3%	93.4%	95.1%	83.5%	79.3%	89%
59	94.7%	94%	95.5%	84.5%	80.7%	89.7%
58	95.2%	94.6%	95.8%	85.5%	81.9%	90.4%
57	95.5%	95%	96%	86.4%	83.1%	90.9%
56	95.9%	95.5%	96.3%	87.2%	84.2%	91.5%
55	96.2%	95.9%	96.5%	88%	85.2%	92%
54	96.5%	96.2%	96.7%	88.7%	86.1%	92.4%
53	96.7%	96.5%	96.9%	89.4%	87%	92.8%
52	97%	96.8%	97.1%	90%	87.8%	93.3%
51	97.2%	97.1%	97.3%	90.6%	88.6%	93.7%
50	97.4%	97.4%	97.4%	91.2%	89.2%	94.1%
49	97.6%	97.6%	97.6%	91.7%	89.9%	94.4%
48	97.7%	97.8%	97.7%	92.2%	90.5%	94.8%
47	97.9%	97.9%	97.8%	92.7%	91.1%	95.1%
46	98%	98.1%	97.9%	93.2%	91.7%	95.3%
45	98.1%	98.2%	98%	93.6%	92.3%	95.5%
44	98.2%	98.3%	98.1%	94%	92.8%	95.7%
43	98.3%	98.4%	98.2%	94.3%	93.3%	95.8%
42	98.4%	98.5%	98.3%	94.6%	93.7%	95.9%
41	98.4%	98.5%	98.3%	94.9%	94%	96.1%
40	98.5%	98.6%	98.4%	95.2%	94.3%	96.2%
39	98.6%	98.7%	98.4%	95.4%	94.6%	96.4%
38	98.6%	98.8%	98.4%	95.6%	94.8%	96.5%
37	98.7%	98.8%	98.5%	95.8%	95%	96.7%
36	98.7%	98.9%	98.5%	96%	95.2%	96.8%
35	98.7%	98.9%	98.6%	96.2%	95.4%	97%
34	98.8%	98.9%	98.6%	96.3%	95.7%	97.2%
33	98.8%	99%	98.7%	96.5%	95.9%	97.3%
32	98.9%	99%	98.7%	96.7%	96.1%	97.5%
31	98.9%	99.1%	98.8%	96.9%	96.3%	97.6%
30	99%	99.1%	98.8%	97.1%	96.5%	97.7%
29	99%	99.2%	98.9%	97.2%	96.7%	97.8%
28	99.1%	99.2%	98.9%	97.4%	96.9%	97.9%
27	99.1%	99.2%	99%	97.5%	97%	98%
26	99.1%	99.3%	99%	97.6%	97.2%	98.1%
25	99.2%	99.3%	99%	97.8%	97.3%	98.2%
24	99.2%	99.3%	99.1%	97.9%	97.5%	98.3%
23	99.2%	99.4%	99.1%	98%	97.6%	98.4%
22	99.3%	99.4%	99.1%	98.1%	97.8%	98.5%
21	99.3%	99.4%	99.2%	98.2%	97.9%	98.6%
20	99.3%	99.5%	99.2%	98.3%	98%	98.6%
19	99.4%	99.5%	99.3%	98.4%	98.1%	98.6%
18	99.4%	99.5%	99.3%	98.5%	98.2%	98.7%
17	99.4%	99.5%	99.3%	98.5%	98.3%	98.7%
16	99.5%	99.6%	99.4%	98.5%	98.4%	98.7%
15	99.5%	99.6%	99.4%	98.6%	98.4%	98.7%
14	99.5%	99.6%	99.4%	98.6%	98.5%	98.7%
13	99.5%	99.6%	99.5%	98.6%	98.5%	98.7%
12	99.6%	99.6%	99.5%	98.6%	98.5%	98.8%
11	99.6%	99.6%	99.5%	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	99.7%	99.6%	99.7%	98.9%	98.8%	99%
3	99.7%	99.6%	99.7%	98.9%	98.8%	99%
2	99.7%	99.7%	99.7%	99%	98.9%	99.1%
1	99.7%	99.7%	99.8%	99%	98.9%	99.1%

This chart shows the odds of living to each age from birth. 94.3% of newborns in Luxembourg and 83.5% in the Seychelles are expected to live past 60, 86.4% and 68.1% past 70, 68.9% and 40.5% past 80, and only 31% 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

Luxembourg

Male

Female

Seychelles

Male

Female

1x

Age	Probability of dying
	Luxembourg			Seychelles
	Average	Male	Female	Average	Male	Female
100	35.8%	38.2%	35.2%	38.8%	40.4%	38.5%
99	33.4%	35.8%	32.8%	36.8%	38.5%	36.4%
98	31%	33.5%	30.2%	34.9%	36.7%	34.3%
97	28.6%	31.1%	27.7%	32.9%	34.8%	32.2%
96	26.2%	28.7%	25.3%	30.9%	32.9%	30.2%
95	23.9%	26.4%	22.9%	28.8%	31%	28.1%
94	21.7%	24.1%	20.6%	26.8%	29.2%	26.2%
93	19.6%	22%	18.5%	25%	27.4%	24.2%
92	17.7%	20%	16.5%	23.2%	25.6%	22.4%
91	15.8%	18.1%	14.7%	21.5%	23.8%	20.6%
90	14.2%	16.3%	13%	19.8%	22.1%	18.9%
89	12.6%	14.6%	11.5%	18.2%	20.5%	17.3%
88	11.2%	13%	10.1%	16.7%	19%	15.8%
87	9.89%	11.6%	8.85%	15.3%	17.6%	14.4%
86	8.74%	10.3%	7.74%	14%	16.2%	13%
85	7.69%	9.1%	6.74%	12.8%	15%	11.8%
84	6.76%	8.02%	5.86%	11.8%	13.8%	10.6%
83	5.94%	7.04%	5.07%	10.8%	12.7%	9.54%
82	5.17%	6.15%	4.38%	9.85%	11.7%	8.56%
81	4.48%	5.34%	3.76%	8.91%	10.7%	7.67%
80	3.89%	4.64%	3.24%	8.1%	9.84%	6.87%
79	3.42%	4.08%	2.82%	7.4%	9.03%	6.15%
78	3.02%	3.63%	2.49%	6.74%	8.28%	5.5%
77	2.73%	3.29%	2.23%	6.11%	7.59%	4.92%
76	2.47%	2.99%	2.01%	5.6%	6.96%	4.39%
75	2.26%	2.74%	1.82%	5.14%	6.38%	3.92%
74	2.04%	2.48%	1.62%	4.64%	5.86%	3.5%
73	1.84%	2.27%	1.44%	4.2%	5.38%	3.12%
72	1.65%	2.06%	1.28%	3.86%	4.94%	2.79%
71	1.5%	1.89%	1.14%	3.53%	4.53%	2.5%
70	1.38%	1.74%	1.04%	3.2%	4.16%	2.25%
69	1.27%	1.6%	0.96%	2.94%	3.83%	2.02%
68	1.16%	1.44%	0.88%	2.69%	3.52%	1.82%
67	1.05%	1.3%	0.8%	2.45%	3.24%	1.64%
66	0.95%	1.17%	0.73%	2.23%	2.98%	1.48%
65	0.86%	1.06%	0.66%	2.03%	2.74%	1.35%
64	0.79%	0.97%	0.6%	1.85%	2.52%	1.23%
63	0.73%	0.9%	0.55%	1.69%	2.32%	1.12%
62	0.67%	0.83%	0.5%	1.57%	2.13%	1.02%
61	0.61%	0.77%	0.44%	1.44%	1.96%	0.92%
60	0.55%	0.7%	0.39%	1.32%	1.8%	0.84%
59	0.5%	0.64%	0.35%	1.21%	1.66%	0.77%
58	0.45%	0.57%	0.32%	1.1%	1.53%	0.7%
57	0.4%	0.51%	0.29%	1.03%	1.4%	0.64%
56	0.36%	0.45%	0.27%	0.97%	1.29%	0.58%
55	0.33%	0.41%	0.25%	0.89%	1.19%	0.52%
54	0.3%	0.37%	0.23%	0.82%	1.09%	0.48%
53	0.27%	0.34%	0.21%	0.77%	1%	0.47%
52	0.25%	0.31%	0.19%	0.71%	0.91%	0.46%
51	0.22%	0.28%	0.17%	0.66%	0.83%	0.44%
50	0.2%	0.25%	0.15%	0.62%	0.77%	0.42%
49	0.18%	0.22%	0.14%	0.58%	0.72%	0.39%
48	0.16%	0.19%	0.13%	0.54%	0.69%	0.34%
47	0.14%	0.17%	0.12%	0.51%	0.66%	0.3%
46	0.13%	0.15%	0.11%	0.48%	0.63%	0.25%
45	0.11%	0.13%	0.1%	0.44%	0.61%	0.21%
44	0.1%	0.11%	0.09%	0.42%	0.57%	0.18%
43	0.09%	0.1%	0.07%	0.38%	0.51%	0.15%
42	0.07%	0.08%	0.07%	0.33%	0.45%	0.14%
41	0.07%	0.08%	0.06%	0.29%	0.38%	0.14%
40	0.06%	0.07%	0.05%	0.25%	0.32%	0.14%
39	0.06%	0.07%	0.05%	0.23%	0.27%	0.15%
38	0.05%	0.07%	0.04%	0.21%	0.24%	0.16%
37	0.05%	0.06%	0.04%	0.2%	0.22%	0.17%
36	0.04%	0.05%	0.04%	0.2%	0.21%	0.18%
35	0.04%	0.04%	0.04%	0.2%	0.22%	0.18%
34	0.04%	0.04%	0.05%	0.2%	0.22%	0.17%
33	0.05%	0.04%	0.05%	0.2%	0.23%	0.16%
32	0.05%	0.04%	0.06%	0.2%	0.23%	0.14%
31	0.05%	0.05%	0.05%	0.19%	0.22%	0.13%
30	0.05%	0.05%	0.05%	0.17%	0.21%	0.12%
29	0.05%	0.05%	0.05%	0.16%	0.19%	0.11%
28	0.04%	0.04%	0.05%	0.14%	0.17%	0.1%
27	0.04%	0.03%	0.05%	0.14%	0.16%	0.1%
26	0.03%	0.03%	0.04%	0.13%	0.16%	0.1%
25	0.03%	0.03%	0.04%	0.13%	0.15%	0.11%
24	0.03%	0.03%	0.03%	0.13%	0.15%	0.11%
23	0.03%	0.03%	0.04%	0.13%	0.15%	0.1%
22	0.04%	0.03%	0.04%	0.12%	0.15%	0.08%
21	0.04%	0.04%	0.04%	0.1%	0.14%	0.06%
20	0.04%	0.04%	0.04%	0.09%	0.13%	0.04%
19	0.04%	0.03%	0.04%	0.07%	0.11%	0.03%
18	0.04%	0.03%	0.04%	0.06%	0.1%	0.02%
17	0.03%	0.02%	0.04%	0.05%	0.08%	0.02%
16	0.03%	0.02%	0.04%	0.04%	0.06%	0.02%
15	0.02%	0.01%	0.03%	0.03%	0.05%	0.01%
14	0.02%	0.009%	0.03%	0.03%	0.04%	0.01%
13	0.02%	0.007%	0.04%	0.02%	0.03%	0.02%
12	0.02%	0.005%	0.04%	0.02%	0.03%	0.02%
11	0.02%	0.004%	0.03%	0.02%	0.03%	0.02%
10	0.01%	0.004%	0.03%	0.02%	0.02%	0.02%
9	0.02%	0.004%	0.03%	0.02%	0.02%	0.02%
8	0.02%	0.004%	0.03%	0.02%	0.03%	0.02%
7	0.01%	0.004%	0.02%	0.03%	0.03%	0.02%
6	0.007%	0.004%	0.01%	0.03%	0.03%	0.03%
5	0.005%	0.005%	0.006%	0.03%	0.04%	0.03%
4	0.007%	0.005%	0.008%	0.04%	0.04%	0.04%
3	0.01%	0.007%	0.02%	0.05%	0.05%	0.05%
2	0.02%	0.01%	0.03%	0.06%	0.06%	0.06%
1	0.04%	0.04%	0.05%	0.07%	0.07%	0.07%
0	0.27%	0.31%	0.23%	0.97%	1.06%	0.87%

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

The annual chance of dying is 0.27% in the birth year in Luxembourg and 0.97% in the Seychelles, 0.05% vs 0.17% at age 30, 0.55% vs 1.32% at 60, and 3.89% vs 8.1% at 80.

Death rate by age in Luxembourg vs Seychelles

Chart Table

Luxembourg

Male

Female

Seychelles

Male

Female

1x

Age	Death rate
	Luxembourg			Seychelles
	Total	Male	Female	Total	Male	Female
100	612	282.4	887	45	0	91.5
99	1,074	692	1,408	218.8	106.3	345
98	1,443	970	1,862	318	159.6	496
97	1,862	1,308	2,362	449	231.9	687
96	2,311	1,696	2,881	609	327	921
95	2,774	2,120	3,387	795	447	1,195
94	3,212	2,554	3,846	1,013	594	1,505
93	3,616	2,987	4,236	1,260	769	1,840
92	3,956	3,388	4,533	1,520	965	2,186
91	4,213	3,737	4,726	1,791	1,179	2,532
90	4,397	4,016	4,811	2,062	1,406	2,867
89	4,488	4,214	4,795	2,315	1,640	3,175
88	4,475	4,327	4,689	2,550	1,873	3,443
87	4,388	4,357	4,508	2,758	2,101	3,659
86	4,245	4,309	4,270	2,937	2,315	3,814
85	4,046	4,194	3,990	3,088	2,512	3,906
84	3,818	4,020	3,682	3,218	2,686	3,937
83	3,562	3,798	3,359	3,318	2,833	3,912
82	3,273	3,535	3,030	3,344	2,950	3,840
81	2,968	3,244	2,707	3,319	3,035	3,729
80	2,684	2,955	2,411	3,283	3,090	3,586
79	2,438	2,709	2,161	3,240	3,116	3,421
78	2,224	2,497	1,953	3,162	3,115	3,238
77	2,065	2,340	1,789	3,057	3,090	3,043
76	1,918	2,192	1,646	2,965	3,045	2,841
75	1,793	2,068	1,516	2,868	2,983	2,638
74	1,649	1,921	1,373	2,718	2,908	2,441
73	1,517	1,799	1,238	2,569	2,821	2,251
72	1,386	1,664	1,111	2,457	2,724	2,072
71	1,280	1,556	1,010	2,326	2,620	1,904
70	1,190	1,457	929	2,179	2,511	1,748
69	1,115	1,363	863	2,059	2,400	1,604
68	1,029	1,247	799	1,942	2,287	1,471
67	941	1,135	735	1,811	2,174	1,348
66	860	1,039	672	1,683	2,061	1,237
65	784	950	611	1,565	1,948	1,139
64	722	878	559	1,450	1,839	1,051
63	675	822	517	1,354	1,732	967
62	625	765	471	1,271	1,628	889
61	573	711	420	1,183	1,527	817
60	521	655	372	1,100	1,430	750
59	472	599	333	1,023	1,338	688
58	426	538	302	944	1,251	630
57	383	481	277.4	888	1,167	579
56	344	427	255.7	843	1,087	531
55	316	390	237.8	784	1,013	482
54	289.8	356	219.1	730	941	447
53	265.4	328	199.7	684	867	435
52	242.3	299.7	182.5	639	799	428
51	218.6	269.3	166.3	601	738	416
50	196	239	151	567	689	396
49	175.2	211.6	137.7	532	651	365
48	155	183.9	125.9	502	623	326
47	139	162.1	116	474	601	281.1
46	125.5	144.2	106.5	444	582	236.3
45	110.1	124.6	95.1	415	559	197.6
44	96	108.4	83.5	391	525	167.7
43	84	94.9	72.9	359	479	147.3
42	73.7	83.4	63.9	316	420	136.2
41	67.1	77.1	57	275.9	358	133.2
40	62.5	73.9	51	242.1	302	136.8
39	57.6	69.9	45.1	216.2	256.8	145.4
38	53.2	65.4	40.7	200.4	225.7	156.4
37	48.6	58.5	38.4	193.3	208.7	166.9
36	43.7	49.2	37.9	192.2	203.5	173.6
35	42.3	43.8	40.7	194.5	206.7	174.3
34	42.7	40	45.6	196.8	214.2	168
33	46.1	40.4	52.2	195.4	220.9	156.2
32	48.7	42.1	55.7	189.8	221.8	141.2
31	48.9	44.7	53.2	179.9	214.5	126.1
30	49.7	48.5	51	165.8	200.9	113
29	46.4	44.7	48.3	151.7	184.1	103.5
28	43.5	39.3	48	140.9	169	98.7
27	38.9	32.9	45.4	133.5	157.9	98.1
26	33.5	28.5	38.9	129.9	151.5	100.8
25	31.5	28.3	34.9	129.3	149	103.9
24	30.9	27.5	34.5	128.3	148.5	103.5
23	33.4	30	37.1	123.3	147.9	95.2
22	36	33.7	38.5	114.1	145.1	80.1
21	37	36.4	37.6	101.4	138.2	61.5
20	37	37.5	36.5	86.9	126.9	44
19	36.2	33	39.4	72.3	111.5	31.3
18	35.5	27.9	43.3	59.1	94.3	23
17	30.8	21.8	40.4	47.7	77.1	18
16	25.7	16.5	35.4	38.6	61.6	15.4
15	23.2	13.2	33.9	31.9	49	14.4
14	21.2	9.46	33.8	27	39.3	14.3
13	21.4	7.12	36.2	23.9	32.5	14.9
12	19.8	5.39	35	22.1	28	15.8
11	15.7	4.17	28.2	21.3	25.4	16.9
10	14.6	3.85	25.9	21.3	24.3	18
9	17.2	3.8	31.1	22	24.5	19.3
8	18.3	4.12	33.2	23.3	25.6	20.8
7	13.9	4.46	23.5	25.5	27.9	22.9
6	7.42	4.34	10.6	28.7	31.4	26
5	5.46	4.64	6.31	33.4	36.1	30.5
4	6.55	4.86	8.31	39.5	42	36.8
3	12	7.18	17	47.3	49.3	45.3
2	20.4	13	28.1	57.5	58.3	56.8
1	40.7	35.7	46	70.5	69.1	71.9
0	270.7	313	225.8	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 Luxembourg, the most common age of death is 89, compared to 82 in the Seychelles. The median age of death is 85.7 in Luxembourg 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 Luxembourg and the Seychelles more than their death rates.

Life expectancy in other countries

+ -

1x