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Data
Data catalogue

How Are You, Slovakia?, October / November 2020
study description | list of variables | data access

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
000cd73cfb32e0377cc70dde78a31467 1 0.1
014101dfe7bf1adbecb2102f66d7ccef 1 0.1
017b11762659120215a66737842d343b 1 0.1
01c7c979fcbfaea43430f4b52d43d467 1 0.1
01ce822fefce23d80e1268a07e39e304 1 0.1
01e68be7d164f43576edaa3f2e18c085 1 0.1
01fe474d9e8f386251f60daca35500cf 1 0.1
022f38c40ec01179ae1b1991af56bc32 1 0.1
024d87b8c0a0d28118865c1a0d4505b4 1 0.1
0285149233db132b8c22789aa3610702 1 0.1
029495e8533114bb4604b1be23913023 1 0.1
033883bc2d2659eccb76e679ae69e55c 1 0.1
035ec0ba929213bd2f10bd2dbb580078 1 0.1
042a7f28316dce2ff25a3853da678124 1 0.1
046139416717b9327fc9a289024eeccf 1 0.1
04bedfccca26e97277be02fa8e4b0d97 1 0.1
04c0855044dfa955a39d05a83c0c7972 1 0.1
04ebac9667ddc04e540c5c64716f2d46 1 0.1
05b2ac4d2119edfffa731e7b3be76f58 1 0.1
05bb569b500bda549362e73aa2c8e344 1 0.1
0633cf75a054bca012b7796537b6fc3a 1 0.1
0663238813d473f8ac119baeb695a0e9 1 0.1
06aaf5b6351214af77fb492f51a8fbb3 1 0.1
06f9a7b33b2deeb26f56fca8066e6991 1 0.1
07547824774587f0a96d7b41da13adbc 1 0.1
076f3696e1e2ae8bc5b06c84ebeab326 1 0.1
09656c8f79d351f5da971fb1c47276b4 1 0.1
0a09265b79752d27725dbce6006caa2e 1 0.1
0a4c93f433276cf07c6305dbac8d3ae7 1 0.1
0a9940e22a9afdf66dda40a81a9beb41 1 0.1
0aa70989192a6618de1be9e604f39739 1 0.1
0b29cb5facf2892f976961158b0aedf0 1 0.1
0b44b4939d634aaff9920a2158cab3a9 1 0.1
0b48e11a292df2ba0e1ee22a9cc71fa2 1 0.1
0b81f08f0c2bde221431d2471acf1244 1 0.1
0bb2c1b7aaadc00c6dc74049a69b8bbb 1 0.1
0be288539092dc8cde73ccde55a1c7fb 1 0.1
0c11874f5586612981f988c5ce1f2d81 1 0.1
0c87a23fe416c2fa68f94d45da4489ef 1 0.1
0ca4be561c34cb46dd4c86bfaf5d0417 1 0.1
0cc7f5dbbe1deee2da6045881f445610 1 0.1
0cda8f26040b2ef72952f7b096ef15d2 1 0.1
0cecb3b3c33a02df02b77d4c191f65ab 1 0.1
0d10d5a1785ecc97ece25483d301d9a1 1 0.1
0d76c78692576140960412a978b28f5b 1 0.1
0efb9b213033858f03294f9e258144fa 1 0.1
0f2a5040210b98766a748389106494d4 1 0.1
0f5d6e1a5bc92a884f79046400cb1bad 1 0.1
0fca08620470db2f65de2dca1e4eb12e 1 0.1
104c284825ad2a64701f80820f82f271 1 0.1
1056267a1d18fda41c185048ddd52b17 1 0.1
106cc7d8dea2154de5f98d38f139ef51 1 0.1
106e884327241bfd78df3668d70c6bc2 1 0.1
109238b266e5930b7b393f6925af4f3a 1 0.1
10a348c40bd0e0bdf8f4c08728b0c3a7 1 0.1
117a16523dea250edc42e6a35d591a40 1 0.1
11cc5d55cce72d8a465e1b3144310f40 1 0.1
121680963c4a7c8dc47cb9ce269172bb 1 0.1
121df94908259ab6424bef7f4d79f909 1 0.1
12b3313976cba30f0b9de8d97ff24a5d 1 0.1
12bcd8ebe8b3aef3b434f08954a2a4a0 1 0.1
12dae0eca8eb2891e928bcd2d6b32902 1 0.1
13b7336e73218d64883c38d9921bdc47 1 0.1
148643cc2913bbaf2349b4ab475bbda7 1 0.1
149ad06dca56c8b920b103836f53d88b 1 0.1
14b1a248449f5df8f19c85d6a1a3c741 1 0.1
14c4b3a37c62e2a708e0764179fbef40 1 0.1
14cc6e90b6ffb9d214ae395ffbe8b0d2 1 0.1
15387c91d1642381f8845ac0711a8b2c 1 0.1
153dc7979ce20bac08293114c64e5493 1 0.1
15b7d96d1144551b055be86517d2d0e8 1 0.1
1607050e87708013f5eaf190bce6ad90 1 0.1
1633e9ce8a6b456dd69c8d3ecfb6cdc2 1 0.1
164a61df0b955d829ebbee3f699a57c0 1 0.1
16b735cfd803a600114fe1813c828f50 1 0.1
170214575b9a217b7ee87f0e876bdfdd 1 0.1
1704ec5a8bad63e30665bf85dcf77751 1 0.1
172167ba409a84b37c6de53488f90bbf 1 0.1
1736a0a1bc20a73ff37452f4fa824ed7 1 0.1
173a3a4a0955409085b44574906a383c 1 0.1
17a77bb585f67b73a50979eb53d8b7c6 1 0.1
17f4798cf2fc9f51a96bf7c16fbe5a5b 1 0.1
17f603bdf75fe9548248bc5452deedd1 1 0.1
18164c7fa72c609a88e90de9a12bcb8e 1 0.1
18197d826c0c9f56498e1f2283455b73 1 0.1
194841d078dbb3b4f41d38a9acc8e2d5 1 0.1
195925a79d3c302f59238bb7e51a3141 1 0.1
19bfd2e00ff470e03d049b21c3b2e59c 1 0.1
19dce30f24e3cdf677e817585ef0905a 1 0.1
1a345e6316d3d3e5bf0529169ce7045b 1 0.1
1a6772a07b8560b5ea8ae9af4824acc3 1 0.1
1ad27adfda3cfb84d11b135adf449042 1 0.1
1ad41da1ce95af60c0090ce4a3a096e0 1 0.1
1ae0c55d7bd9b42a07f5919cea166006 1 0.1
1b3ec625245c773282a31e42d2f6b8c2 1 0.1
1ba548d6e6071ee8a4e0850050cdfacd 1 0.1
1bb952a013c33a4ff9279c68981a473b 1 0.1
1bc7335072ef1dc819c562eb77b4ff3c 1 0.1
1be01b1a37c050f16c58c8f6ac4317f2 1 0.1
1c142d522fe27c39f2992e382d50cd67 1 0.1
1c857bad75e6c43c2b8ed4b0c070fa2a 1 0.1
1cb1bd25b330521db3a805649df95f8b 1 0.1
1cd133c93094ea68faafd95944aebe8d 1 0.1
1d28036ef6be634edd45f065434aa10b 1 0.1
1db63f576a0f56fae54f4ad591ad4a64 1 0.1
1dc174a65206947b18d6b5121c25f361 1 0.1
1dcc35cefd01ab8d986758908cf7da6b 1 0.1
1e0c40475b6f51430ad3d86c36393fd1 1 0.1
1e338a917a2230d4edfca09747978713 1 0.1
1e98e0d73de3d058351aa8fb2401e14e 1 0.1
1f8f12a0d99e85b9a8fd75905449985c 1 0.1
1feece1d504b1924e06d1d569e0b34d4 1 0.1
204151c4775a3c87ce6af210ba0a99f8 1 0.1
212dd01220f30f3bcc12e7a966aa4262 1 0.1
214db2e21efea4246154444e01bc7a3a 1 0.1
214e81a73d4e37a7e9c85731c40c0980 1 0.1
220bbdf53593d238b95991db80ebbc94 1 0.1
220fd62afc68ffaa82309bbd4b2fa54e 1 0.1
22400e95c5f989b0f3bdfe9c88cce7d3 1 0.1
227d35438227096221ac3682e748a3d4 1 0.1
22eedcc2c2657f485ce72fb6d09c0cf4 1 0.1
23152a4b315382b85d20f6e4bcb7879b 1 0.1
23308bcc526de54f8ae9145c3dc5450e 1 0.1
239d98d2f1b07521b5d773143a9b7f07 1 0.1
23becc3d5881281632a3f74d069c8f76 1 0.1
24520479a40fd749fdc90429027cf036 1 0.1
247b170ab60633cf946421acdfa41ff3 1 0.1
24a24e24c2ca4513ef74aefba8621663 1 0.1
2551ef76536926a49bfafa93bed2588b 1 0.1
2583d2ff3a5104c755e4c77c295e2e2d 1 0.1
259a1d61e5a352956ee44ec088061a69 1 0.1
25a0e63911e5c5c1db84b87ce3efde6b 1 0.1
25c3c77df7ded69ef367d9d2c833cdad 1 0.1
25da2e734c6eda99cf10faf186de15f3 1 0.1
25db209461b7addc4803987c874853ee 1 0.1
2624bc47693cd1a8223a1f5e4067d202 1 0.1
263575ae518e6ce339971e172305aca0 1 0.1
26368269d15d285eb15c00abe4f77d14 1 0.1
2686f7200b8dc08b55735232a3d9983b 1 0.1
268adc5e9dcc10540b234b5712c68b39 1 0.1
26d028a9fcfb384f7cc7b5072af6b7a5 1 0.1
27003df607c4626d660687c9ba5f2ebb 1 0.1
2706d19b04f77f1e99e36acc6d1ad7ad 1 0.1
275ae054e7db2b3228c500a905b01ebf 1 0.1
277d88368bbdf09e082a6bcf8171fb53 1 0.1
27ebbc01483b5c81184ccf8cfb5b2de0 1 0.1
281f34c8f61eed0a0c76b9c8254a8fc0 1 0.1
283f28388133d930e49f0c2dbc8c12fc 1 0.1
28521acf3b07101bb4864e3bc7ef82b9 1 0.1
28c9c8a39a8d5d07c559b0a1b3729f8f 1 0.1
290d2560b91c7320df499bb26363ab9d 1 0.1
2925b80fb0995de8bd938db552687756 1 0.1
2941079f373a4d65fbd2435297191bbe 1 0.1
2961134c78bd44c9efde1004584e5fc6 1 0.1
2966190080013c4bafec80e4636d146c 1 0.1
29e05b93280aaaa63aa89e287131cab5 1 0.1
29ebbf7484659b02e4600093063ab8f8 1 0.1
2a06cca549276584699adc958ed325ec 1 0.1
2a2522feb8d4f8ac6008ce6bb6b75662 1 0.1
2a8feb3a77b6983a81b2fc386657c817 1 0.1
2a98cfb7052967baa54414621b8fa50a 1 0.1
2ad03edbaee98c1fdeb935642e02f372 1 0.1
2add30d7cf722d420dc4f362482379cf 1 0.1
2b4e59f1c3c75297cfdf2a66403fc75b 1 0.1
2b54ceef13be0cc6aa9fb9faf8538cd9 1 0.1
2bcb296aec114fd9595eeabef6977dc5 1 0.1
2c702eeb260d05b6dd78540212b806b7 1 0.1
2d6bd2349e07f8af6ce0eb18e1a330a3 1 0.1
2d6d9c09ccd4a2f03e2cfb5c5aaf4ebf 1 0.1
2e3d6b8f25fb4c7150ae8d978c945b06 1 0.1
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2ee9b8928af0bd65cc9926136f682c32 1 0.1
2f0b444dd6e5e8afd09b7b0cc41fbe86 1 0.1
2f817f643ac5787298609def4efbf9d8 1 0.1
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f4da8461a29149ad06525fa5a6247810 1 0.1
f56afa83bca65e38fe34b4559d3ad8cc 1 0.1
f56ec0a9c0a4d5d5203e8693aea78c42 1 0.1
f60980b487e3b294dc216db1591e1056 1 0.1
f729ed0e2fa48d001e43e632f11da515 1 0.1
f754b72cb5cbeeba25e8eb0d04a4d4b9 1 0.1
f793b900341073b0fd109e77745d421a 1 0.1
f8300af6cb94371de6cf5744c2c88b10 1 0.1
f868f1756fc8d4bf349568fc264cdb5d 1 0.1
f878b471347d8b750dcc855981301cd7 1 0.1
f8916fb22549a382e0e521328432204d 1 0.1
f8bdcf6e677ebde147b46acd36563c0d 1 0.1
f8e34f6d3b9ed74ac3dc24ee9c72952b 1 0.1
f93f78bb1f810b64a37430b87b058762 1 0.1
f97eb6c66ca404887bbe2a53b49dc002 1 0.1
f9e027ad71e78e94ad57357fad3367b6 1 0.1
fab123b88e04fe85c558a49a25616b32 1 0.1
fab77c9f3cf6a7deaa41b31805705b87 1 0.1
fb0cdda52da9083d423ff5a0981ba3f5 1 0.1
fb7cfa1727492ce280b321b91bed1403 1 0.1
fb8884d0818e2b9c57c4eda702678581 1 0.1
fbb0f0f9faf4bdb545330ad25181de37 1 0.1
fbdb0d8d5ba66aaa7bcea88ad4532004 1 0.1
fc80ca1c771a2b0da504db04110609e2 1 0.1
fca1839de0950350313d9ca2aa410bd5 1 0.1
fcc5b56b276564077812ca4cc05591ab 1 0.1
fd019849ab283e0439d348bf129dfc35 1 0.1
fd848578be428406beb29545b5e48f93 1 0.1
fdae6366a31f475d8bf68d2f7eb92dda 1 0.1
fdd6e50ad1b898d9dde1bcbe9948f400 1 0.1
fde8ad7e9ccb91690cf566ef41913902 1 0.1
fdf7b82f376f661fae609cff9c39f0f7 1 0.1
fe955f5655ba15cf478cc2c9ebbb2e43 1 0.1
fea2c6fecd70523300c57b47b691e65c 1 0.1
ff1b50025ad657678a77d1bf93e622d2 1 0.1
ff272c66279be7d5de38770f50ace024 1 0.1
fff767cf8f4efb5f289d46e74ea556a7 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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