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Table 3 Order of time series used in the analysis

From: Assessing excess mortality in times of pandemics based on principal component analysis of weekly mortality data—the case of COVID-19

Number Country Sex Age group
1 Austria Male <65
2 Austria Male 65–74
3 Austria Male 75–84
4 Austria Male >84
5 Austria Female <65
6 Austria Female 65–74
7 Austria Female 75–84
8 Austria Female >84
9 Belgium Male <65
10 Belgium Male 65–74
11 Belgium Male 75–84
12 Belgium Male >84
13 Belgium Female <65
14 Belgium Female 65–74
15 Belgium Female 75–84
16 Belgium Female >84
17 Switzerland Male <65
18 Switzerland Male 65–74
19 Switzerland Male 75–84
20 Switzerland Male >84
21 Switzerland Female <65
22 Switzerland Female 65–74
23 Switzerland Female 75–84
24 Switzerland Female >84
25 Spain Male <65
26 Spain Male 65–74
27 Spain Male 75–84
28 Spain Male >84
29 Spain Female <65
30 Spain Female 65–74
31 Spain Female 75–84
32 Spain Female >84
33 Estonia Male <65
34 Estonia Male 65–74
35 Estonia Male 75–84
36 Estonia Male >84
37 Estonia Female <65
38 Estonia Female 65–74
39 Estonia Female 75–84
40 Estonia Female >84
41 Finland Male <65
42 Finland Male 65–74
43 Finland Male 75–84
44 Finland Male >84
45 Finland Female <65
46 Finland Female 65–74
47 Finland Female 75–84
48 Finland Female >84
49 France Male <65
50 France Male 65–74
51 France Male 75–84
52 France Male >84
53 France Female <65
54 France Female 65–74
55 France Female 75–84
56 France Female >84
57 Scotland Male <65
58 Scotland Male 65–74
59 Scotland Male 75–84
60 Scotland Male >84
61 Scotland Female <65
62 Scotland Female 65–74
63 Scotland Female 75–84
64 Scotland Female >84
65 Hungary Male <65
66 Hungary Male 65–74
67 Hungary Male 75–84
68 Hungary Male >84
69 Hungary Female <65
70 Hungary Female 65–74
71 Hungary Female 75–84
72 Hungary Female >84
73 Israel Male <65
74 Israel Male 65–74
75 Israel Male 75–84
76 Israel Male >84
77 Israel Female <65
78 Israel Female 65–74
79 Israel Female 75–84
80 Israel Female >84
81 Lithuania Male <65
82 Lithuania Male 65–74
83 Lithuania Male 75–84
84 Lithuania Male >84
85 Lithuania Female <65
86 Lithuania Female 65–74
87 Lithuania Female 75–84
88 Lithuania Female >84
89 Latvia Male <65
90 Latvia Male 65–74
91 Latvia Male 75–84
92 Latvia Male >84
93 Latvia Female <65
94 Latvia Female 65–74
95 Latvia Female 75–84
96 Latvia Female >84
97 Netherlands Male <65
98 Netherlands Male 65–74
99 Netherlands Male 75–84
100 Netherlands Male >84
101 Netherlands Female <65
102 Netherlands Female 65–74
103 Netherlands Female 75–84
104 Netherlands Female >84
105 Norway Male <65
106 Norway Male 65–74
107 Norway Male 75–84
108 Norway Male >84
109 Norway Female <65
110 Norway Female 65–74
111 Norway Female 75–84
112 Norway Female >84
113 Poland Male <65
114 Poland Male 65–74
115 Poland Male 75–84
116 Poland Male >84
117 Poland Female <65
118 Poland Female 65–74
119 Poland Female 75–84
120 Poland Female >84
121 Portugal Male <65
122 Portugal Male 65–74
123 Portugal Male 75–84
124 Portugal Male >84
125 Portugal Female <65
126 Portugal Female 65–74
127 Portugal Female 75–84
128 Portugal Female >84
129 Slovakia Male <65
130 Slovakia Male 65–74
131 Slovakia Male 75–84
132 Slovakia Male >84
133 Slovakia Female <65
134 Slovakia Female 65–74
135 Slovakia Female 75–84
136 Slovakia Female >84
137 Slovenia Male <65
138 Slovenia Male 65–74
139 Slovenia Male 75–84
140 Slovenia Male >84
141 Slovenia Female <65
142 Slovenia Female 65–74
143 Slovenia Female 75–84
144 Slovenia Female >84
145 Sweden Male <65
146 Sweden Male 65–74
147 Sweden Male 75–84
148 Sweden Male >84
149 Sweden Female <65
150 Sweden Female 65–74
151 Sweden Female 75–84
152 Sweden Female >84