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Data
Data catalogue

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

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
0014523d3ef4ef794df881566a3b24f0 1 0.1
001afe461aa35946c4ea3398c5abac44 1 0.1
01365925109e99de337f20ed0e1cecfc 1 0.1
0175a18ca3ff2be07b7564aa90f2770a 1 0.1
01c848033551e2137a522035dee2cac0 1 0.1
02637f04a6c326fac6fe9321adce7812 1 0.1
02b76c278a6ad90556c6ff2f177f2445 1 0.1
02e2340b2fd0f1f3cd5bee20b5427394 1 0.1
033b3221632e16c004c1ea096ebd352b 1 0.1
036acab745070ea74f6d46db0fc1d46e 1 0.1
03735e2ae477a87ce6f5adf9fa35f790 1 0.1
03a57482656560feac96de55320bebb3 1 0.1
03a75659bf95998806695ea24eec129e 1 0.1
03fa26b6677a036236eebc9815e5c8c8 1 0.1
04ffeb41b9f947d822f614e9f1dcf51b 1 0.1
050fa557f7cc03a54b97f56c57b208b7 1 0.1
0552d927de3820eccf8c9689438971c7 1 0.1
05d4703ad89a91e76c7bea4e9eb75214 1 0.1
061e0ee869f4818bafbf781c585678d8 1 0.1
0651346506fe6b2433884788f65571a5 1 0.1
0656c32b09bce093bfd69c24d63647c7 1 0.1
0670754c80e9a094b6c35c99680dbb1a 1 0.1
0676bc098ef1c7ae6269c16d1d4b0050 1 0.1
06c519e927a728de4e92a91f7669aa18 1 0.1
06cbbc9936ac34b8bebfe0c104bd950e 1 0.1
07583e7ea1fc67d3b75cdc7af52d671d 1 0.1
07ee387b5af325df2c51b74dd9db1cd1 1 0.1
083cb0c210bac39941807242954aa4a2 1 0.1
08f3259af8efb137ea8e53b4cc183e2b 1 0.1
08f8126f9c0c1c0d1c4d3ea9289ef85f 1 0.1
09603f0ec47cad1ee0e50672b2458dfa 1 0.1
09bd953adbf78603585ad90d89c295d4 1 0.1
09c95aee5a444ae51b0bb0492bae49cc 1 0.1
09ed5fd7abf796298411b68b50500a86 1 0.1
0a35e1c805759b31a165161cb95f2107 1 0.1
0a955bf98bc3399513165980b883405f 1 0.1
0a99cd4935c97d88648cdac10a478449 1 0.1
0aa3494669a3b2769eab94d9829f561a 1 0.1
0ab445d38622e1810500a59256ab744d 1 0.1
0b3f12a332425ab1721ea8700ad6ccd0 1 0.1
0b61a602cab3f82588873e4b1c8da28e 1 0.1
0b98e079613bf90075867c1ed7fb30ef 1 0.1
0ba7d7536b936d09045f35751d461a8c 1 0.1
0bd48c1be6952a9e7d0cb943d2df70a8 1 0.1
0c096fcbcbbf3097d4e56032e116c54a 1 0.1
0c1bd7ee81493e4c852f32bd27a4ff71 1 0.1
0c223c2981ba07a7c1a3db0a9884e145 1 0.1
0c3df2fe3457aef232a95a5c0c528c7c 1 0.1
0c4fa422c11025474b7852f7f01d5f00 1 0.1
0c58589ccd8bc8d8e7ae3dd06774578b 1 0.1
0c6b7276c6d65843d4a107ad6651d9b6 1 0.1
0ce05adcad9c01529c92fa0a6f4c1b32 1 0.1
0cecf0761580909d16d327ec015b9092 1 0.1
0d0f123b36aae2b976c078c17c767fae 1 0.1
0d52431c0d257973fc6d2c6ec9f73139 1 0.1
0d8e1c06bfaa745e358e58d64fb8121c 1 0.1
0dd7cd8465ee447dcb9e089e81d65ef7 1 0.1
0e083740715985ef20519473d7a0ee3d 1 0.1
0e24aa2271e02bfb431532aa65c18ffb 1 0.1
0eb2fddabac42e0b3b702388e10025b4 1 0.1
0f351ef764a4969adb7c4a41b8d2f637 1 0.1
0ff761d46903e6b8d8f161003cfa3c54 1 0.1
1079b6442ca5b258e09cc0e995c94377 1 0.1
107f872eda36b092322836889a7a6006 1 0.1
113d37d15d9903d995084cbb55a87f05 1 0.1
11519dbcec243edb581c1af7700a94db 1 0.1
11eb163185936504b3f475204eea37ac 1 0.1
1224d7ab436738507755035ede914843 1 0.1
123ef36679c4719607a9f69c37db01ce 1 0.1
129733b3f29a7411d0b6bb1bbab01a65 1 0.1
12b035e852f1fc7f388d1056b2ac5b8e 1 0.1
132e537234fe7a351858338125f0c764 1 0.1
135ae19dece95ed103315cfde4c5782a 1 0.1
139f10d4d427aa75d8a5547f2c8c3cb7 1 0.1
13a0230e08206934dfa88afaa77fc5a4 1 0.1
13ec2b600a6fa0f2d3b39f8d89fe4aa8 1 0.1
13f01154511cde53b05c46b8ee723774 1 0.1
14624b9a4b10d9fe0c3f891a53754c61 1 0.1
14cf0e13ff123aa2242c263dd8598eb9 1 0.1
14fbe3a1a56b64ff2e35afbd89613567 1 0.1
15244d1b785fd5cb09e47ad642f48621 1 0.1
15269ebb6863509d7596e30b7271fc16 1 0.1
156bad7f00db9b0e06109a25677bd75e 1 0.1
1583d500898886d35ad371946d266fe0 1 0.1
15d1d637e748f2909f867b627228ba71 1 0.1
165224fee0d291c81fef4f578a602a05 1 0.1
166eb0044002b84a64604a081017e1d7 1 0.1
16e640352b5cd715683dc5ed3e1e2a5c 1 0.1
171202925bf0cdfeed360e68ddca7b3d 1 0.1
1746698e6210eafd6a6ea2b7e4171924 1 0.1
176795dc200c95bba06f7f840c42d4a4 1 0.1
17744bd93126efcbe48e387f05ba5229 1 0.1
17966c7047c776f69f22f0a12d8de12c 1 0.1
179cd2855d522c47f19ab34383cfd836 1 0.1
179d7584314fff24e4f9f60808f60f44 1 0.1
17bcab9f7a6b7028bf1369ff5a181654 1 0.1
17e81296439b1746d60ca3e2ebc18cb0 1 0.1
182387dcd445a8224c2b9d060fc79327 1 0.1
183e876eb38199fef524a1cf4a927583 1 0.1
1856a8589de4c0bcd555350fff70fc72 1 0.1
18d8210877f4cf70f675272641adc75e 1 0.1
1942c6812c696a71e2a5c12da5d8e40d 1 0.1
19530a72bb4d7578b48308688a7a1c48 1 0.1
1959bb0ab4fbcf6e907ded1e69e581f6 1 0.1
196b2a97cc7698ecf66e8a8bcbb17bfa 1 0.1
1a5f45d63f0360c41fd16f1d1281f555 1 0.1
1b452c7a8289fd62eed2d39e5beb9dc5 1 0.1
1b69b472bd6ea0aa1f32101be2769366 1 0.1
1bc5e3f45a5c85c3ed09c9a848971790 1 0.1
1d72e16783c68f59b189a21db38b112b 1 0.1
1de70b86c6e55e3b6485c446eae4638e 1 0.1
1e27eb926390aa10d336bfcec3cea104 1 0.1
1e2f977135d890d296c0e20991ec4f8b 1 0.1
1e48ad05754857ee020251ccf37636e7 1 0.1
1e6aad0ecb2d9a34e06d4119247d7fdf 1 0.1
1ec7de1fa6f220dfbbc8ea7b600da6b2 1 0.1
1f94fa2fdb86174fccce52f8c0e2f749 1 0.1
1fa7e262bda6e043a6970078a1893741 1 0.1
1fd28bb7e879bccdcbb4cb0bb0f7f550 1 0.1
1ff4461e9b72a9231c32b5e67019b7f6 1 0.1
1ffb92bca8070ea8a6ea84659924594f 1 0.1
203051ae7f18980b38cceaeafd71c477 1 0.1
2042a42438dc80b8e8e9b8fc9b7bc4d6 1 0.1
206936e4c35bec389460aa7f1786b268 1 0.1
206c24d71c229f5d815641a395d8d16c 1 0.1
21533ba239f5c635a1b68eb31dd95355 1 0.1
21652db685d82357501b71f8e7e5abf6 1 0.1
217ecb76bf9ab7eec8c11b53b505ba6c 1 0.1
21cf11c1171c23d27c0d9a725ca6dc98 1 0.1
21e15ebc7095c1a83814cf1104818b2d 1 0.1
21e8f5b1fc8d33c4ad14a0e8ed15a7a1 1 0.1
21fff058cdcd1ea7a3ad1170577d8940 1 0.1
228800f31fe25b52ee8ff872952bb0bf 1 0.1
229b48bdff81d911b67454a43fa64339 1 0.1
22f56cdc33aa3dd68e30be9a14ae6a34 1 0.1
233caeb4e1f59e3f1f213c270a33c6c9 1 0.1
236bcd124363497c47d5ecb2eacc5038 1 0.1
237c16305f5521de34c10ef1cbf6fc1b 1 0.1
23a72b2cffd2d71b06d58bdadfec8204 1 0.1
23c2f9e38aad076aea9daec6c64a084e 1 0.1
23e0bdb29f75d4511a45d403658670c0 1 0.1
24003f6e401f6a24e3f9d3b6e684d877 1 0.1
242652fd2568b89341fe3efaa1151a8c 1 0.1
2469cc2b10a0cc7e9cbfc681121cadab 1 0.1
248aac4c4a80ef086658af4e3fd761b7 1 0.1
24ada002a3a353b8ec94907adeb57f6e 1 0.1
24e37229c66c5dad3d8baf52953da270 1 0.1
24e4480969a664d31eb9c036222d02f6 1 0.1
24f15fd1530b2d22fa980443a73c446f 1 0.1
2519a760c42b89e4385ab67edcb419c4 1 0.1
2523492da34c83625aaf49681b9d78e3 1 0.1
255b9dbf50b27b37eb92307a897a8471 1 0.1
256544d7d36089a47e1ea41f652163fe 1 0.1
258e7fb7e41713c9b698d245168db531 1 0.1
2590b1694bb729b409e4b3253770409c 1 0.1
25c6f7f578b94677dc616c63399a7836 1 0.1
26a66b3223b7718f59f0140fb930b497 1 0.1
26b370a0e0643ed99080b21fa8c6c60e 1 0.1
2740eeedfbd3260dcdde0ead30947030 1 0.1
276170ba3b69a54ab38f0de83d8f927b 1 0.1
27cb40444133cb2f4ea64f1230c12a4b 1 0.1
27d34bbdfcb40a2388a9c32dec16c952 1 0.1
288d4096e50b64f25691e36982b5da06 1 0.1
294e02a11829b727012830be95e74c7e 1 0.1
2955e00c81991353e7756cd1fc240035 1 0.1
295600c3e61f290eee5beabfbdf8c7b3 1 0.1
2994b897d19629fa41e5cf2b342d2add 1 0.1
299b471763ed769b92680508f675612d 1 0.1
2a344e55581ba316d7512dc64099fbd9 1 0.1
2a4094c345f089bddb8f32f051916f20 1 0.1
2a82787b42d4680e421e562f3887df88 1 0.1
2b050b97547b23e0531e889d47fda65e 1 0.1
2b07bcdac5eef4bb6605d51cc01e6031 1 0.1
2b25c045c73e2f2d188adcde87b6ddcc 1 0.1
2b5b4b98fc90c0b2cfe5cabf4448fe3e 1 0.1
2b908bfb5f51eac2ab24c3d557cb4f5f 1 0.1
2c383f32457ec1c305ab9a713a8bcf7b 1 0.1
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373172fa4d35471d2e64f32f1c989ead 1 0.1
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f8482ea5d17fafb1ea70d9ad9d3f7617 1 0.1
f9cea62a01879baf7500e6ec1454c825 1 0.1
f9e069ca2a2fe1481556e09eae63da72 1 0.1
f9f1bf4f3a20216ea7f41e8997f15346 1 0.1
f9fa016d40cee81a2d5c8acb278ff9a2 1 0.1
fa0161991d69af2ce5ec15740c800e97 1 0.1
fa1231f60213c62e08ae504b66bca257 1 0.1
fa15b68f0961602f955970096621fa00 1 0.1
fa5738d50e4e040daf35521dae201e94 1 0.1
faa2210e618fbe114aa9f580808a17be 1 0.1
faeb6db011008556f06d5d3981aaaedd 1 0.1
faf0d2c911345788f185eccdcc718c5c 1 0.1
fb1f391ccb57a23179f1f94c452fa8bb 1 0.1
fb2ec0c16a1020f7d7abd6dd5911973b 1 0.1
fb3388d82f7d781b7a8f4f739c9080d3 1 0.1
fb38def025e5a4a604d275e0bb9003d8 1 0.1
fbd8e2185f723b1268d46f822826987f 1 0.1
fbe626eef85d86abd77056a347cfe541 1 0.1
fbf37836ae9a58b1d4192317c8531764 1 0.1
fbfe2baaa429febee2346f790c80a77c 1 0.1
fc0d0a64fbe433a9f3fcd7186acf5b20 1 0.1
fcd6a0387cb83da3914657218f137d90 1 0.1
fce53b45675c513c21f6ef0aa357ae50 1 0.1
fd090657c1a2fb00781de78c1742440d 1 0.1
fd29fb58fdb6264ef0fa9ef13e131aeb 1 0.1
fd2c65760bcb8bb4f6768c0a54f679ba 1 0.1
fdab55f8bb48db4493e6e938194b9b74 1 0.1
fdc6024cfe96b0b0828a14e3ab829388 1 0.1
fde23012ec334dd474fe21d4289a643b 1 0.1
fe2da67a53552638d0180f823354a524 1 0.1
fe3e547915ba86d4e298a054c535a792 1 0.1
fe863cd1c33df50522d73b4f5c43d1c0 1 0.1
feb0df3b7676d2a2ad7b75146bc1f045 1 0.1
ff0f4b737f9b4024a04a26077e3311c0 1 0.1
ff1902122b00ae050916a91d46de0e8a 1 0.1
ff539d2569d66d7f14ed2836bb6b9b5b 1 0.1
ffa785c23f6ca8d036fcbeffe54fbe04 1 0.1
ffb49f352e7f343e9d17707166302f88 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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