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Data
Data catalogue

How Are You, Slovakia?, May 2021
study description | list of variables | data access

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
005f813a7ae35a410515af753408f82d 1 0.1
00de50b7f9173dcaf5ab0fd097a08e5b 1 0.1
00fcd569f29af5de010903174fcd2de2 1 0.1
013fcfd6c32e2afe67f762f02f35c6d3 1 0.1
014ea44101770c667b240b951b99d599 1 0.1
0195b6b92a34d4fc13856f472e225feb 1 0.1
01ba87162eac93bc5734056a1e5e3dd3 1 0.1
01ea25eac90772717b96c19c27efe6dd 1 0.1
0230fbec9b16042cd59293ec5d452aee 1 0.1
0338ebe6b99bca0d0c80e845c9770ca1 1 0.1
0352a4ecf8b0ee71d728072e4197b859 1 0.1
035e5878e69e5d4bb3caa3d108ea8292 1 0.1
037745736b6f9c28184091514b825fcc 1 0.1
03aac405b3f9b9d6f28a17bac4c031d7 1 0.1
03b0f708bc515ff6889080497429222c 1 0.1
03e70dc132846f7958bfbd46185a7414 1 0.1
042aea2b2c2957db108d4faaa6c30622 1 0.1
047c82984f3a947e505af9329e4682fc 1 0.1
05173002c96c23bf92a3568a2e2296f2 1 0.1
053ffc50939db4ccf57c91ba08c44684 1 0.1
054457b0f47587cc96e5460312730940 1 0.1
05befc49fd4e39594d8ed2dfbfca3e6c 1 0.1
05cb3789ceb6a6ce4ceb39560176e2b7 1 0.1
061aee5caa59c135ec937d0ba4af0802 1 0.1
061d96aab4fe68c3f0c3445d36a23ad5 1 0.1
063e9c0e53f98dc9c7219cd654b176b5 1 0.1
06f933d22b0ca45ab8aae52aa7a94007 1 0.1
0716f3e2f138403876e29a97fc15db25 1 0.1
078a29ce14d9480ca985787ebfb7317d 1 0.1
07e7ace21a97045de6d4db773672baa6 1 0.1
080e17021ca0b6cafda7608f89cd181a 1 0.1
0818d80bc5a32ad453d670a382c9598f 1 0.1
0848a7d41c46a9a67610eef27b481c17 1 0.1
086a59213310390c1b59056a97fc40be 1 0.1
08a3af666ee87023eacfff3d6008b9f0 1 0.1
08e53dfabfadf685309cda92092bc105 1 0.1
099a31d09d409c855c2fb8cbb431d57d 1 0.1
09fa6abf0df5d9a3a64304783035ae3a 1 0.1
0a4f76a18544e9f73b6122a54d68ecaf 1 0.1
0a685c1e507a2507a3ea60a3564d8dd6 1 0.1
0ad67887def3503102b9b9b8bf3777fe 1 0.1
0c28845f84a5aafd4e5c63b9035b1ae9 1 0.1
0c54d2758f1e903a7136e4ba982f4ae0 1 0.1
0c6fdcc618367fc83657f67daa84e0e0 1 0.1
0cb2cc3ae4519343b4af0e3cecde8ca7 1 0.1
0cf6844629d39295a5f24c9b3fba1c9f 1 0.1
0cf8b34f363067fa1f9ecca16b3a9f04 1 0.1
0cfafb00554bb4d6269e6215ca6636ec 1 0.1
0d1974d8fbb56b06bb8a881a2720b382 1 0.1
0d4e6c08e1165848fdbd37fd36c1de86 1 0.1
0d55d33774d4db1d45078fe41bddad1a 1 0.1
0d89721102fb73f390eb83297b3225e2 1 0.1
0da1747996cbaf8146ef52e827b01a3f 1 0.1
0e0678c1e698ee4f306bcf1b7f9ccd47 1 0.1
0e8d92c7e4208775210b63a83d8d8def 1 0.1
0e93158fe412f60f779523c6ca2a2725 1 0.1
0eb2f1e33c032bc4d5d9eaeed81cd9ba 1 0.1
0eef140b7de76b8ef594a69808fe5881 1 0.1
0ef38634e3739350bda39c6375e869ab 1 0.1
0f0b7609148640dd68e696d5c6606cc5 1 0.1
0f1a0acb81783130193f28bb2b6e5ae2 1 0.1
0f29a091f4481ac0fb6a2497daf97242 1 0.1
0f5c27aa7819a4df2454e8f2ec3583c5 1 0.1
0f885ee0f58909d7e0a9030bc839913e 1 0.1
0fa413616d8e195bf76e01393abd9bed 1 0.1
102daf68463cd3b17c176a125e82cf50 1 0.1
1037afbecce91618761f8b25ba276e49 1 0.1
115fdf48ae6fbc844dc3851679a7c8bf 1 0.1
1267873cc1e9b6aff8908ebb15530cb9 1 0.1
12ee24ee61c43b6e556df794ad9cf478 1 0.1
137f277d7da2dd86e0b03b56029fe7d1 1 0.1
13b068f9a57106f2fb039b3f5c015099 1 0.1
13c09060b367ef63d2af3c0b981e7945 1 0.1
13c40c183b4885e9df91d5e486999b32 1 0.1
13caf45b46da9ee161426536c7a6a663 1 0.1
14095c84fd89d243a62e87b1bdb221bd 1 0.1
1418134b77032c8e8799aa331fc1ad6d 1 0.1
1420d2b6596bf46ddb7e1092cfa4be66 1 0.1
142c19d8b9bd4367294b3576714fc6bf 1 0.1
14b656724abddb560e47854fc5acc001 1 0.1
14c94628eb45c59374cbc2b8aa6f6521 1 0.1
155ac075cca3219d1b9660bfbf9fd333 1 0.1
156ce50aa973db614704fe7f30602be3 1 0.1
15729ca7d41f03882fd3fba6723be83c 1 0.1
158c9e14bbd4a6dfc16637a2c01d1152 1 0.1
15e1833dc9a74383e405669caec537f8 1 0.1
15f699b8afc4b3aa136e73699aa5da0b 1 0.1
161c49d2c6f41510df1000c72b7cb664 1 0.1
161d911d048ffef1718d9f261bb9bdae 1 0.1
163c2485009b8f1002328340b16ea5aa 1 0.1
16412c42a8fcfc15ed9e489f17c11685 1 0.1
165981c18ed366cf5ee467050b878197 1 0.1
16cdee6abaf8d2a6418ffc1f40013037 1 0.1
17039ea539fd67caa363e2e43180c2a6 1 0.1
1720f5a6fa2d7ab20a654bc31926accc 1 0.1
1730238c421b8466cd0a5cfb8e2c261c 1 0.1
1741d7a0e1883272115653300ea62efa 1 0.1
17b0d135375e6a9977dad5b30d40f1a4 1 0.1
17bd7f3b8e161fa7574457ae23470509 1 0.1
17c86cee3e1ed874b4f13410e03ec253 1 0.1
17dbd2d6baef50c5c7aea414f2d45587 1 0.1
183d7f27b55422a8d1e5afc6f9310b74 1 0.1
188325495853fe1f9a976a0fe20ab722 1 0.1
18f4f09aa569a07affaeac925e136dcd 1 0.1
193bf235ae4258c3bd15092f866c34e3 1 0.1
19a04b1f427b5fcd870c8989bf893820 1 0.1
19a12f4175e733b7389473e60aa7a516 1 0.1
19a2c9d799d66d688eb5a897155ccf5d 1 0.1
19c8315ea751841c6e9e41a916a2e89a 1 0.1
19cd1d1d5565f347c89b62685cb5a633 1 0.1
19d8f5a48bc2550ee8e85a331f5f5f79 1 0.1
19da393e678b991dec6387fe93759b14 1 0.1
19eb7a43eb4a50a7ddde0d708cfab101 1 0.1
1a5efdea9fae951a4a2bb8a149bfa7a9 1 0.1
1a83346106ca18c7b5958addecbe33b2 1 0.1
1ad4c16a930338012294860d2c5caf13 1 0.1
1af7d150cbf8ab3e0da673f0b81bb0de 1 0.1
1ba7c8abd154746e9146c4d681ee0325 1 0.1
1be242cf07ff54b22cc168095fd82e33 1 0.1
1bf058e25aee5b5629c73b9843972ecb 1 0.1
1c53c07c8ebb7364f85a93d21e48ea2e 1 0.1
1c6eff7b57f551f7a34934465e0d6aac 1 0.1
1c8a21896b518d5bf30cb688bf2ca55b 1 0.1
1d893c139d66de880a433cd6f51c26ad 1 0.1
1dc600e546869acbab79e28bf885b2a8 1 0.1
1e118044d8e0178563796936fcaba4be 1 0.1
1e3853b522c8ded631687d5d0bb1d648 1 0.1
1e841aa31e377aa706307d4521ea6f78 1 0.1
1ed970527bf06c7ad4ca59ab1456f18e 1 0.1
1ef242d138a99c6ad63fdfed1475d08b 1 0.1
1ef770391b835319e9b6bdf33c899cfb 1 0.1
201b23742522c7c37081b31c56b55c97 1 0.1
207a1ed5f753d15a9300ca6e1f20562f 1 0.1
20bf0ec8adb41461b58350cc88399775 1 0.1
20ef1035f8ee89b8db10f3a2c72c3030 1 0.1
21036f11d4d3a4a5ca3aa01bbccdcf18 1 0.1
212cad117ad2eaae7b0fb57b94b1ee61 1 0.1
21330dc1a614c835cecbd340c737858a 1 0.1
2198b880f9abbfdfcc194c0cecfd412c 1 0.1
21ddd038eede25998aeaac7ee0b7bc08 1 0.1
21e23fe5bf2df61b278c58942e62b4ec 1 0.1
21e6a8cee2c71190af7c0ed0a06878f0 1 0.1
21f2e2c36e95db1b41216b627711e5e3 1 0.1
2206a5eef0a858f1a06fa8ccf520a7da 1 0.1
220a114d0f0488495caceb4cce3d5a96 1 0.1
221e34b463159a577e14ac733e5a8a89 1 0.1
226596ed7280c6240f3aa5f185584722 1 0.1
226b4075e7222711edb3660868f5d1e4 1 0.1
227c1860519359a517448c8ba70ea14d 1 0.1
229e9d3bc8df8b1e375b073f26f19e59 1 0.1
22a1066455e22d84caa3d30e8260d5aa 1 0.1
22d7994a332338b068ca7004dda6b9e5 1 0.1
230e9e8ba037433a59043979176c7c95 1 0.1
233b6b48c0630e0ad8d0244f62c027dc 1 0.1
23c3fbda0dddffc4cdca990ae4f19563 1 0.1
240c73b0cfddc2ac19c87af6a77b9383 1 0.1
24185e81bf96f18a438e5e82f7843985 1 0.1
241f183d770fbc93824a987893b3e56f 1 0.1
248f4c538d701c2e344c7be75a083d6b 1 0.1
2526ad28d40d27265ed8ba159b9e25b3 1 0.1
25978ff987fd91e9fe185cc9f14e4727 1 0.1
260f33cc4d408ae7e428fd4701aebfb2 1 0.1
2639ba920e511dac6ba144cbccb1b9b6 1 0.1
264824516f1f33132b5581ab9d25cf90 1 0.1
2658106a46954ab1f9db0de2104ba011 1 0.1
268a9975a0956ba3b6f828e1c44751df 1 0.1
2690e6c355dd351738bb6376e5c5c825 1 0.1
26c059cf6f6dab68488066ddc3562054 1 0.1
26ccffa8940ad9c7893ad22171c5e6c9 1 0.1
26e6aeb452aa98c726707035291a2cb0 1 0.1
26f6d5d58f1a5d93d41deebbba3652a9 1 0.1
274fde6d16eb9ac946c47a60a263de5d 1 0.1
276e61cb25090d47f9754e70a1db2cf7 1 0.1
277ef2e28f12ad0efb8accebdf4897d2 1 0.1
27959101197b24f412f7dce85b7a077f 1 0.1
27e0a416bf906a486b9c9d94be5dbc17 1 0.1
2842f59762cf21d30fe2ca98b1ee59a4 1 0.1
2857d01013c46870a4f4d270acf06602 1 0.1
285c017c582fab91bac82eb39a78c8c0 1 0.1
288fa3fdef0e4671267a22351f1395c5 1 0.1
28ec42a84093bc0c228dfb2fbf9b5aa0 1 0.1
28f09bad24a8cd7dcee6062a8ae2d7a8 1 0.1
2915ba3c48499045b57c92bb48acd459 1 0.1
297013d4e236e2a2a55e700e5b5c9a7c 1 0.1
29a531068e7cba89373ef8e72b26272d 1 0.1
29bdd15afec6168b5d6eca70a867827e 1 0.1
29e3e93bb22fef8bea26d0d05be061dd 1 0.1
2a04057968cf1a3fa942a05e93c0ee2a 1 0.1
2a0671d332b5e4ebc3510554994051b5 1 0.1
2a44070a045ae71fd1aa7bc9cc75a23f 1 0.1
2a489d03786e2bec28c5c415a41f6206 1 0.1
2a6f6cee71d3ac0c90248681fcef7b08 1 0.1
2aea25db36516ac4382b9a35ddb911a8 1 0.1
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2bcbc54e0629b79319de005358fffc25 1 0.1
2c22a0fb6bea3df89642a971e3acaf2d 1 0.1
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2dfbab3760796c0e66eeb28100c3d194 1 0.1
2e328320b052abe33e70f9c719a80d0a 1 0.1
2eb39f980ad31a30690a25397a306825 1 0.1
2f0391ca58a7c6643579244e71a39000 1 0.1
2f170c1d8e628b6854111efec136b47b 1 0.1
2f31ef68c1fcba9c94c2beaca32576e0 1 0.1
2f5b06c601e4f2516d5c9299fd5a5f3d 1 0.1
2f5d76c3f231dd3a6d01a068cba2ff8c 1 0.1
2f704863441333f3851f8729771d4ff4 1 0.1
2f74ccb705a3e47420e314dbc7acf2d6 1 0.1
2f7d513900b37c735757a8431c3085f4 1 0.1
2f7fb4c13049dc6e51c8c0c89812e57f 1 0.1
2f8ca0b75f1e18b08e89d327355961a0 1 0.1
2faa67364accf6a7699be8b9bfb694a0 1 0.1
2feb1d1cc333ffb4cd8016bb897dd44b 1 0.1
30040a7637c28625861296551682bce7 1 0.1
3024c655f9bee71f592a00afeb07ac84 1 0.1
30439136b1b2c96784a7350b0ee2866a 1 0.1
306edf63bb4e52c81cde2fccece5dd16 1 0.1
30e7c72a6941b3f3b84b2ce5268a345d 1 0.1
31a65e33c15077504fb5792e5fc51719 1 0.1
32197515710b1e5e8ee62f9702c4b17b 1 0.1
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3463b5d3d6ef714b0927e2e1e535f6c1 1 0.1
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f6b442b26d67db571b7642bc6f1d56b3 1 0.1
f6f01a3da0b8221a4207faea26659fb6 1 0.1
f7156e6872d76904b4cdc8c523bf0e0a 1 0.1
f72973d590cb9f0556f67aa98ef78019 1 0.1
f7929f33295f21d7884e13744a023187 1 0.1
f7c1faffa84e2ff547eff8a2aa325a57 1 0.1
f7f59135ad10992ca73ff8f65da46262 1 0.1
f861d3c465fd3e28065e1c04179b8a35 1 0.1
f86eedc9dcf4febaa63d8ad3959d6f18 1 0.1
f889e112d7fb2e5f21dc2c7dbca5ae16 1 0.1
f8cf48db7227cf2e2db4ee290aaa18f4 1 0.1
f9197cde22ac5d7c18ce7237239a1af7 1 0.1
f980108939f14e9c2dd3e7ca937d5665 1 0.1
f9e03a5f6772c625e7424b3c254114ee 1 0.1
fa81c0b196a539387a7abab0e43455de 1 0.1
fa874d769072cc109c5624b6f4a0e2e6 1 0.1
fadd721ae173bb6a669a1b162e04674b 1 0.1
fb3d3e32262a99386ef35b62e91f3181 1 0.1
fb818d5d15999a0027fe1563b5a69903 1 0.1
fbe5145595fc2426def5451561b6443c 1 0.1
fbfb675f3ad47f56094bc02b88cac829 1 0.1
fc34895ae8fbb0c12b0a5ad23204b587 1 0.1
fc8e8c200a3ebecbbff6bb2e2f34bf92 1 0.1
fcd521884971f279cc95cb4517428733 1 0.1
fd29b69938bcb054fed6b993cef0af5e 1 0.1
fd3bc252bd1e2a84f5e92ca9bdd659ca 1 0.1
fd47ab173f106036ee6fc39a2d3d5b0c 1 0.1
fdbec69ab98abc478eff7e9016504d53 1 0.1
fddfd12975e9fe2080c79935fe08fbe0 1 0.1
fe1312009ebd8a147cc9a839579365fc 1 0.1
fe67cc1ae5858e32963e51f697d13f5c 1 0.1
fe729d701449e52b5771f78b1f8fc17f 1 0.1
feeb4dd7aaf8fc0e032599f13bad5c10 1 0.1
ff8f6c9332f22e30ed8c56101a3a8d64 1 0.1
ffbbb53f49325a2b85c529f8c63eb96f 1 0.1
ffbcde29388c2ed374124295b9a84408 1 0.1
ffcc5fa92cc616e48021adbb59d06122 1 0.1
ffe609b49cca9baac8fe82f755f2de42 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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