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Data
Data catalogue

How Are You, Slovakia?, November 2022
study description | list of variables | data access

Details for variable Recall_code

Name: Recall_code
Variable label: Recall_code

Literal question:

Recall_code

LabelValue Frequency*%*
0000A988EE11E865 1 0.1
00245BEB54154E24 1 0.1
007AF4726DF5FB07 1 0.1
00BB0FB60349FC56 1 0.1
012EF8C3B3880AF6 1 0.1
01390FD99F1199F7 1 0.1
0179988B8BFD542C 1 0.1
019C4E9EF92B6A25 1 0.1
028CFE62BAEA54F8 1 0.1
031C8574DC99305F 1 0.1
038390751201BB7C 1 0.1
0399292632B7D47B 1 0.1
04AB002FE620BE84 1 0.1
04CB6571D446E8C4 1 0.1
052E5C9BB9104B18 1 0.1
058935E2A4455503 1 0.1
0596B43C0469B644 1 0.1
0597475B74CAAE8B 1 0.1
05F29E20F8BFE876 1 0.1
05d04c981f6794ee 1 0.1
062D563B5E00A35C 1 0.1
06FAF762B8638CD4 1 0.1
076DDFB9B7AAA012 1 0.1
07726AE98F8E5689 1 0.1
07811B6F310A7983 1 0.1
07D008A614C44345 1 0.1
083472AF6FE5E612 1 0.1
0837B7F947E3BDB3 1 0.1
0852337E1CA2550A 1 0.1
085685F5B7A3AE07 1 0.1
08904E0362500D97 1 0.1
08E5101D69281713 1 0.1
092F13B57E74F363 1 0.1
096AF6A9283896E0 1 0.1
0994EAF4F1233EA9 1 0.1
09B2470B9A479871 1 0.1
09CFF996ED55FA12 1 0.1
0A37E48E00A5E196 1 0.1
0AA791A96D19480F 1 0.1
0B27A8AAB9466C0A 1 0.1
0B774D0B8EFE0D68 1 0.1
0B795DE2E4977834 1 0.1
0BE29FEC6C322408 1 0.1
0BFAD5BEB7E61546 1 0.1
0C0FDE2256FCE613 1 0.1
0C32DC31A2C9C9C3 1 0.1
0C53E6ABA14C1582 1 0.1
0C6783C667650469 1 0.1
0CA668E8B0029D57 1 0.1
0CAC89CABB656FB8 1 0.1
0CB99BB4FD6FA80E 1 0.1
0D7BB2AF18AC75BE 1 0.1
0DB12C48C78286E4 1 0.1
0DBC7A6D1B54737C 1 0.1
0E48D9E00642778B 1 0.1
0E590FA870772F71 1 0.1
0EA3A9F21D73BBDC 1 0.1
0F33030C293E5F63 1 0.1
0F51791C5B50BE5A 1 0.1
0FD8B671EF2B7BDE 1 0.1
0ad26ceba5a1fa75 1 0.1
0c96a7ddb08d5767 1 0.1
0d7d14af0dfd1cef 1 0.1
10069E085C0A130C 1 0.1
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111E519CB6BEECB7 1 0.1
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121B393A3F38EC56 1 0.1
129EC96B79756719 1 0.1
132AF53424BFE29C 1 0.1
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139EFD5D1200AF1E 1 0.1
145878959B492DA0 1 0.1
147D793858A257DB 1 0.1
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15EACAEFB04D0C73 1 0.1
166C1635236C4FBC 1 0.1
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16C4DDCB825C1A15 1 0.1
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16F5BC113DDD133F 1 0.1
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17DBD776C498442A 1 0.1
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18040F0AF0CF61F5 1 0.1
181C754383A26A75 1 0.1
1832598FD1C2F6AC 1 0.1
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18DCFDE9439755BB 1 0.1
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19428AD61A4165EA 1 0.1
198CEDF70817C5C8 1 0.1
198E4A412398F0E0 1 0.1
19B4D8EA1890640B 1 0.1
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1B0639B4ECF56847 1 0.1
1B2C37CE37DA2DF0 1 0.1
1B62FAD2F641362C 1 0.1
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1C3C3F10954E597C 1 0.1
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1D0EB71610F3C105 1 0.1
1D1382F202FAE1A1 1 0.1
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1D5F3DF107EA3033 1 0.1
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1E44B55C6A60F9C0 1 0.1
1E7B1405D0A83A08 1 0.1
1EC955143F1E59BF 1 0.1
1EE0D738BB18A741 1 0.1
1F089C6CBDCA3820 1 0.1
1F2603B5FA41BF63 1 0.1
1F60392CA84785FC 1 0.1
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1FC8E539BA1EE57E 1 0.1
1FE44A7B8BCB83AD 1 0.1
1FECFD1436570A44 1 0.1
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215C46E278877C3B 1 0.1
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26304420615EC89E 1 0.1
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2715C77A4D019C2B 1 0.1
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2735D9197AB5F89A 1 0.1
27827158084935F4 1 0.1
27B5670A329B405A 1 0.1
281569100802AE1E 1 0.1
291963C2CC2E33DD 1 0.1
293787A11CDD983F 1 0.1
2944F4434024DB0B 1 0.1
297238D225429EA3 1 0.1
2A37B92402AB23E5 1 0.1
2A544F153F55286F 1 0.1
2A5456E36C30D3C8 1 0.1
2AA5B1C97B6C6B38 1 0.1
2AEC1EBB39D24F5E 1 0.1
2AFD4DF172124716 1 0.1
2B0743823E0D5737 1 0.1
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2BFCCE1B3B094CEC 1 0.1
2C29AD262ECB2CC4 1 0.1
2C36AF07ABD6E44C 1 0.1
2C51695C4B005C43 1 0.1
2C655581091CCFBD 1 0.1
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2D9B6249CAB97B0F 1 0.1
2DD302EF97A35FA0 1 0.1
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2E96B57D20DD15C4 1 0.1
2E99421D87DCBB5F 1 0.1
2ED771CE95A64D60 1 0.1
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2FD6AED1EAFF3335 1 0.1
2feea0fd3c94bfac 1 0.1
313B79197510C192 1 0.1
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31934C3240A56BD0 1 0.1
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3310C7BE412EE570 1 0.1
333E37FB725DF18A 1 0.1
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3DCD513D794D0893 1 0.1
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AF938E17CAE08A6B 1 0.1
AFA63A2731FB7B3C 1 0.1
AFC40E85BB38A2D3 1 0.1
B03993360DF52D58 1 0.1
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B04B559B4EFB51BC 1 0.1
B04EB4DFA6B74732 1 0.1
B055D44AC14A15AC 1 0.1
B08598F0FF1474CE 1 0.1
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B395266444C660D5 1 0.1
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BF386C75DD350EBB 1 0.1
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BFE73B8BF4FE00E2 1 0.1
C004BCF5C0444B4C 1 0.1
C0126402C6530127 1 0.1
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C1D43DD5F1A3AB15 1 0.1
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C227B7EEDD4030E0 1 0.1
C22BC171E339F46C 1 0.1
C2ACF165145EA1CF 1 0.1
C3692993611DD086 1 0.1
C388501DC895DDF2 1 0.1
C3B15B9B3BAAAF0D 1 0.1
C3D1EEA6475E242F 1 0.1
C4167550F769B48E 1 0.1
C4773F1FA9A6A0DA 1 0.1
C49EB65C782BA343 1 0.1
C4FC8C33FCA65669 1 0.1
C5126CB0683BD7F0 1 0.1
C51BD1F4C4218C14 1 0.1
C5A6AE5A16FF285A 1 0.1
C5E532CCC181761C 1 0.1
C604C7D1A97464EE 1 0.1
C616720E7872B86D 1 0.1
C63138756A081FE5 1 0.1
C640FED609C53EB2 1 0.1
C70CE21505DDF0D8 1 0.1
C72A3239B1D02D0C 1 0.1
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C9CB2B143D94D2AF 1 0.1
CA2AC800099B9B41 1 0.1
CA31043AEE5EBF5F 1 0.1
CB1F41D06159EDC9 1 0.1
CB431014048E3AB1 1 0.1
CB7B45755EF661BE 1 0.1
CB8EBC4A5D89A43F 1 0.1
CBA671983AA4B70F 1 0.1
CBB6A3CD82939243 1 0.1
CC35918F0ABBAA47 1 0.1
CC471E351C51A182 1 0.1
CC8387ABAFB7E4BD 1 0.1
CCAA26D37C287ED6 1 0.1
CD04DAE5EBCBC39E 1 0.1
CD4A23DA41F40FB1 1 0.1
CD6B4319FD5FF151 1 0.1
CE262CDCF86FBA48 1 0.1
CE7ABA179F972B9C 1 0.1
CE81A1D2FB120456 1 0.1
CE9A38B4D3185E4A 1 0.1
CF10520DCBBC231D 1 0.1
CF1682A950DE276F 1 0.1
CF2BA2139680037E 1 0.1
CF8797C89BC89442 1 0.1
CFA3C8DD48DDEE45 1 0.1
CFD035C8C2A1FE50 1 0.1
D0009A96F04571CA 1 0.1
D03E3AD97E6BF25B 1 0.1
D04FAB8D19D48CBA 1 0.1
D0C8969AFD478F25 1 0.1
D0E46F06C7805D08 1 0.1
D10DB3AF84B9E433 1 0.1
D12060159E7DA2EA 1 0.1
D158BC1E3D7AD6A2 1 0.1
D16BD3F829C71AA0 1 0.1
D2992E5E40BB7C63 1 0.1
D2E68D319760296B 1 0.1
D369A6826B47B99E 1 0.1
D3BEEE4AF4934F54 1 0.1
D3D239A51B35C513 1 0.1
D3F9F376DF29AE61 1 0.1
D40DA16FFC0B30FF 1 0.1
D47C799F7786A784 1 0.1
D4BC82423CE5FE27 1 0.1
D4BF9B7AB1A9EF78 1 0.1
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D5065361A4FECACC 1 0.1
D53FAF6E34E47552 1 0.1
D5B5AF1F49E5F8D5 1 0.1
D639B1DD7C0224E6 1 0.1
D643D554773AE5A4 1 0.1
D68833C3C0B1273B 1 0.1
D6B4C3B8F70BFD9E 1 0.1
D714FE5A211CA24B 1 0.1
D72D30B3FD67E866 1 0.1
D7A4C2129BD82652 1 0.1
D7A78A59ADEB7A85 1 0.1
D7A9E7A28E077D18 1 0.1
D7C228D8D7C2EC77 1 0.1
D85E1678E9B41537 1 0.1
D894DBF519C22265 1 0.1
D8D4BDC7BB2A106E 1 0.1
D8EB6A338DA66A6E 1 0.1
D90D7F303B5040D4 1 0.1
D91A20DCE69749EA 1 0.1
D937EDB541FE412B 1 0.1
D96F1A4DC5713454 1 0.1
D98374BBC8650FEC 1 0.1
D9F8D6D4379D51D8 1 0.1
DA1654674A0529AC 1 0.1
DA3675168086E59F 1 0.1
DA39209DCE3E3425 1 0.1
DA4ED0BF7699AEA5 1 0.1
DAF82F240578245A 1 0.1
DB23F8E97BA1D73F 1 0.1
DB3A0D3E1404197D 1 0.1
DB847717A9663307 1 0.1
DBC53B4E42531879 1 0.1
DC1FA1FA9FC298AA 1 0.1
DC4794812D5D3C06 1 0.1
DCA5133DB92D3EDE 1 0.1
DCF83C0DE1C03436 1 0.1
DD591EC009D92F78 1 0.1
DD8FCFD35F8F2765 1 0.1
DDB16D583AB92627 1 0.1
DDF95C9B3B64DD9C 1 0.1
DE17FCC4A27E3707 1 0.1
DE6F8ED4D7E9C039 1 0.1
DEA4699DCC5D0363 1 0.1
DEA77C193DDE2F53 1 0.1
DEFEFC0CD795A49D 1 0.1
DF373E2D1FBF78C5 1 0.1
DF407679906C7958 1 0.1
DF5B8F4D320F055D 1 0.1
DF7B0B035B59962B 1 0.1
DF80DADC5A2521A6 1 0.1
DF810B7A4A01AEFE 1 0.1
DFA913AC18F59010 1 0.1
E0185B8E7FA50F23 1 0.1
E092E2EAA5FA5517 1 0.1
E0A911CBDA05F1F4 1 0.1
E0E55AC20E059B83 1 0.1
E0E896FFE26D27D2 1 0.1
E12F11A533FC7C78 1 0.1
E13561FCB6258BC8 1 0.1
E1396CFC157B3823 1 0.1
E146BF9878AE80E7 1 0.1
E14CE7DF98A10432 1 0.1
E1ACD720DC4CA4C4 1 0.1
E1C4331920E70882 1 0.1
E219F4A5B9F7CA66 1 0.1
E26BCC7682F20F47 1 0.1
E2F9A9B10EBBE78B 1 0.1
E3321AD13C9D7308 1 0.1
E3AABF4B36CF9CBC 1 0.1
E3B31FB3C211474B 1 0.1
E3C88A02481C9594 1 0.1
E4052235C5C46EE3 1 0.1
E548071987CFB36A 1 0.1
E583FF308BD99369 1 0.1
E59615996F6EB320 1 0.1
E5DC236F43489643 1 0.1
E5E7215FA9AC282D 1 0.1
E6C590246E12440C 1 0.1
E6D39C8D03653446 1 0.1
E6DBC1981F3FE155 1 0.1
E6E78929F2F3B0DA 1 0.1
E74971321FC20BAC 1 0.1
E77F96A469D520F3 1 0.1
E7A82E03D888F95B 1 0.1
E7BB3F2AA84923BD 1 0.1
E83A7847F7AEF6AE 1 0.1
E847C93AF61D9F8E 1 0.1
E856D058B5F3D4F5 1 0.1
E85E13FDDA854178 1 0.1
E88156B4F66FF839 1 0.1
E8A0FE667264582C 1 0.1
E8A27EF4C61209B9 1 0.1
E8DEAC6FF570A02C 1 0.1
E92E4FAC0A42639A 1 0.1
E93467B40A2B62DF 1 0.1
EA113141EC96BD0B 1 0.1
EA60293F9FE199BD 1 0.1
EABDE9E0C998D84E 1 0.1
EADF51F636EB3E3A 1 0.1
EAFA177568689363 1 0.1
EAFA3E7B63FDE8FB 1 0.1
EAFCEC052270FFE1 1 0.1
EB21C66692F4E2E3 1 0.1
EB3F8DFEB3C25B0D 1 0.1
EB6C5A323735B5FF 1 0.1
EBAFA63B9E6C5EED 1 0.1
EBEDDBE4EF8C00E2 1 0.1
EBFDD4646A9D6760 1 0.1
EC1E7A258E3A7434 1 0.1
EC4846608DC958BF 1 0.1
EC6EDCD691D58CFD 1 0.1
ECC6538963AA4224 1 0.1
ECE8C2E22A41E635 1 0.1
ED01FBB59930BCF1 1 0.1
ED06B9F5D8ABCAFE 1 0.1
ED262ED690C193FC 1 0.1
ED899C2E8ADEBADD 1 0.1
EDA528AF2CDC959E 1 0.1
EDBBCD27BC3BAAC4 1 0.1
EE9260686E971392 1 0.1
EEBAF7AB8C576C96 1 0.1
EECDBC6B4358B67F 1 0.1
EEDEAB815892B476 1 0.1
EF0D08BC015811A2 1 0.1
EF1B2E0B0F599F70 1 0.1
EF2548FF3BA11445 1 0.1
EFACE90DFA054864 1 0.1
F02A71CB9DE8CC34 1 0.1
F04174F94017974E 1 0.1
F074B5CF0AE05821 1 0.1
F079BEBC58D889E3 1 0.1
F08E5B20D44A81AB 1 0.1
F0B21D91E0AC68EE 1 0.1
F0F436DEE5FEDB9C 1 0.1
F169BD6CD1BA170C 1 0.1
F16E3C70E9592865 1 0.1
F19D2791C41A1B53 1 0.1
F1D11A67B0FB534F 1 0.1
F21F036AFAAC19ED 1 0.1
F2DDE9E70C52EBD2 1 0.1
F33976716CB9C123 1 0.1
F33B8CC91C6A7768 1 0.1
F3BBB3C81DC2F483 1 0.1
F3C39EC202DBD6A1 1 0.1
F4651C7CE9D65860 1 0.1
F488F6E2486DCBA5 1 0.1
F4CA690D3EADBD8F 1 0.1
F4CE322D0B3D5747 1 0.1
F4DD2AF7D3970447 1 0.1
F50FA523AEB2120C 1 0.1
F5C5809118E91B84 1 0.1
F6053ED9AA25D605 1 0.1
F6950D1EA92E7B14 1 0.1
F714827A51431614 1 0.1
F76806BE4E8E603E 1 0.1
F7A81E89421BEC74 1 0.1
F8095D2A9FA2B315 1 0.1
F8D086D6A8A87600 1 0.1
F95743EB617A3763 1 0.1
F9941471A4A75CFA 1 0.1
F9B1B03509E357B3 1 0.1
FA0AC40084E0A184 1 0.1
FA2896DE0597DE36 1 0.1
FA405F43FBF06760 1 0.1
FA8957DC740E445D 1 0.1
FB21FB8F40911382 1 0.1
FB5E9898E0A49FCF 1 0.1
FB5EE4A3148317B9 1 0.1
FB96EC50680D93F8 1 0.1
FBD37B9FEAF251F1 1 0.1
FC991DCF07D45AAD 1 0.1
FCAA1D1161EA9A80 1 0.1
FD0E76CC9E4C8294 1 0.1
FD43C553E9853D8E 1 0.1
FD69E897B095EBB4 1 0.1
FD956B6E11D2387D 1 0.1
FDBC0933D1EA04EF 1 0.1
FDE415934299C9EF 1 0.1
FF2B5AEEDCCB9670 1 0.1
FF673D87FF5F0EFA 1 0.1
FF70976304CB44A9 1 0.1
FF89F5A2DDC26461 1 0.1
FFE603F9EFEA043E 1 0.1
FFEF06C5A6CC4F8C 1 0.1
a38c6ece2d1439dc 1 0.1
a985a5858049756e 1 0.1
ad7e0c2f0340273d 1 0.1
af3b9582219b82fb 1 0.1
b6c6b77aec46935b 1 0.1
ba2890b2205f2c25 1 0.1
c0ebbb63f2c4fd05 1 0.1
c23577aa6ac72c29 1 0.1
c728f8773d032311 1 0.1
cc6690e1bd6422ac 1 0.1
d5dd8278911ed6f6 1 0.1
d7ab489a3fe4827f 1 0.1
def30bdd9baea4a4 1 0.1
e68c5afa9c44f0a5 1 0.1
ecb5ea0de97511f2 1 0.1
fcc6d6490b2fcb81 1 0.1

Summary statistics

Total Responses:
Valid: 1000
Min. / max. value: 0 /
Mean / standard deviation: /

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*Caution: Frequencies and percentages are calculated from unweighted data. If data were not collected using quota sampling, there could be significant differences between those unweighted values and the representative weighted figures.
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