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Data
Data catalogue

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

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
002b7a13d96995cdeb6325274bfa30c1 1 0.1
002f1db62f2385d7a9ab7ee5e0d71456 1 0.1
003e72f920a877d10b252bf1fd6b9aa6 1 0.1
004337fc63d2d8b6c7ae05e2b0a11093 1 0.1
008018f74ac44495289f6faecc7d8a78 1 0.1
00d65cba8ff879d0df80a3e4ecc1d89f 1 0.1
014adda0270212c889bfc1bcacf6aad4 1 0.1
017a2f986daf585b823b34cb6b60a889 1 0.1
017aff2eb76adbaccc0851280dd6381d 1 0.1
01f8e20ea575956088d2332105af22e6 1 0.1
026253a0b50aa7cacef59a416d01af7d 1 0.1
0265386f7d5f0a04df4e60d8629ab6eb 1 0.1
026bb714789d113c8d7687e972a3035a 1 0.1
0282d909d6571277f47f5fb78c2a62aa 1 0.1
0287dc455cc9dd42b12eef0cf1b8469b 1 0.1
029fa1f752940673215f308c8a4d698f 1 0.1
02eeaf948dd6c0b5b5e4e79965e535dd 1 0.1
03509bf29d57a09d86db0dd671c60554 1 0.1
037c65d6eddda9011a9a40c00be240f8 1 0.1
039ae814a5907adcb96e2f607135d290 1 0.1
04dc4065364055a45100c99bae31a295 1 0.1
04f27c7489f12534fc49c6702a466575 1 0.1
051400ac69844cb390877ec87f8e907a 1 0.1
051e316f5e9ce77b8d60e2d8d0ccdd4f 1 0.1
0528f2a4664cd9a96995c2fb1eb44c4e 1 0.1
053c913a198ac100fb58389d0ba925dd 1 0.1
054fc0c47befff054af8bcf6c971e22e 1 0.1
0673a71dc914e50021404bb35be8e30d 1 0.1
06bd44f3e8d5e4d5a17f226319d2f2ff 1 0.1
071688c7dde2dee8efc494156d3dec43 1 0.1
0799b5e319b132818dde3e836e93f00a 1 0.1
07a397ffeb67dadb9e34f6b7cfb8a645 1 0.1
082aecb36cbfa0f5a11ee1b18c12d18e 1 0.1
082fe63f85e0654581369a3d4c1b8156 1 0.1
0834e0703251b4a9863d3220ba6a2639 1 0.1
084171cdafed04c380e2aa6305eac598 1 0.1
084af65aedffd5e2f6dbb323155afa2c 1 0.1
08aac2489162556f145af59e74202e54 1 0.1
08c06a55b560bf76f17c31b26f5d0d1c 1 0.1
091a980e9118e6c6995e9b153527fc4c 1 0.1
091b8bc73dc759e3fb69f6aed788e52e 1 0.1
093e6a246fa253334e7edccd381fb35e 1 0.1
0945f1910d5dda97ca599bc53a8a1521 1 0.1
095cb978e5d008931f3eac212942052b 1 0.1
096690a0713a74d2a3cf538a5d403f0d 1 0.1
097c1d9fd0b6132f04cafc28a38ca682 1 0.1
09c4159a835fe79aac87e9c58cbe6180 1 0.1
09c8cce254aaf34abab59f28c4beaf6b 1 0.1
09d1f07d52af1dde54bd2d41cdeda8ed 1 0.1
0a4deab2517b1138c161390470b2f786 1 0.1
0a80aab6982cec964cfb9f13015d0c1e 1 0.1
0a84fa1a4377b285ea0655a57680d5a4 1 0.1
0af2bf47f3469331ada7ec0a24d209b8 1 0.1
0c5dcb20f3a87ee9e7f11a6a731d8f6b 1 0.1
0c899d3f38f9ab728d67cbb332835cd5 1 0.1
0cc35a0a6e92d6c6722ad1013181cf13 1 0.1
0d44265525dde64c67e642fce1bd4b0b 1 0.1
0e1fb383fd0124fdf6aece4522626d8b 1 0.1
0e20df11a5fdc8ba3cbd8f99d176f18a 1 0.1
0e35ba6bc983fe27c29ac844c1f96ed1 1 0.1
0e80ca81bde5b79a9ba84d01887399c2 1 0.1
0ea2a32d4fab8b10f8f2b5f456e8e0c9 1 0.1
0ebf822232f891942d59861e51801243 1 0.1
0f3365fedd6da3e5458e99460b299c5b 1 0.1
0fa12ae812243e48ec9212f5a0ec05ce 1 0.1
0fb14efd6fc98100b2767fc5dee0df64 1 0.1
0fd4f3ec5fd8cf676c9f45e72670263f 1 0.1
102a2cebb5976bada3fdddfb02c676ad 1 0.1
10366299bf02f78b060e99941c3a9aed 1 0.1
105c2d29e7e764ce3722bf7bf15ec226 1 0.1
109448dbbff1b3d910ac773b4c5b64c2 1 0.1
10e719dda8639323e33aa7171cf097db 1 0.1
11131112c4caaca7c0d9cf6005b33c6b 1 0.1
116bcecdadbaa07854fca618629e2a43 1 0.1
119ab43b96350d4fb78a6be3d6e05e41 1 0.1
11f9590f7c9fa3e9db580ec5eccbac22 1 0.1
121512b1e22e16c8f96b8948d3d8cf2b 1 0.1
121f8cf3211677909ac0eabb36c5ad91 1 0.1
122aa6aa9eeafb37262d3fcd7ff4fbda 1 0.1
124996c940eae17032bede4ec4cb2734 1 0.1
12b599a1f01f8593b3ea9446ef46c249 1 0.1
12d131cf5f6481d1b269a673cfd00530 1 0.1
135cf6a519deb660a20045a50dd7de34 1 0.1
1363d3a52e599b386e1f869144fe137e 1 0.1
1377358835c5b5283dfebee0c789eed4 1 0.1
137cd82a1100265a740e77cb8e9a467f 1 0.1
13b4c62330196fbae72631ffbfa2c3d3 1 0.1
13da91b581bc1cf8c2ca050d87c2aff0 1 0.1
13de0a4458f5004b0ad3882c7f2ed7e6 1 0.1
14097de361e0c396c4ffb5fbc53b6a52 1 0.1
14378b3e538efe2f62a2ef723bffae37 1 0.1
14710b0ce059317c1345e579e50008e0 1 0.1
148d22058fe86b5c6e6f21fb5e1b5faf 1 0.1
14c2c7a86c53b9247cde6246513484ac 1 0.1
14c4de61d9f1f6382ae08fe7910469ac 1 0.1
14facec186894c68410c8cc6e7f8efc0 1 0.1
1514b9500184078a58f3d18bcfa25f49 1 0.1
153490c2fd6fe45d7e4501d01a7ff318 1 0.1
1543f6fab844dfe43a971416c80b2feb 1 0.1
156c9616f6e56eda12404052edfb204a 1 0.1
16445524317ebf86c89a66772c3e065b 1 0.1
166b08cfcdbf55e3caaf9f930fb48955 1 0.1
16cf5a05dce3b15d6a32516e07d77a86 1 0.1
16fcfff942cfbeddc74a89b73da023b0 1 0.1
17e03faa1dcb538b2cbfa270e8dd6a76 1 0.1
17edcb94bc42ba943eedd877bde1e283 1 0.1
182262cbe2b344b8821abc8dfd8c67c0 1 0.1
184dc595bc35f7ae6c6f650f505fe494 1 0.1
1859d3b6cbc6850c6b29a6642d058786 1 0.1
1885fb1985e5e0584b9b28e3bc1de414 1 0.1
18afad820ad76306253c8d3a4dc0d8a8 1 0.1
18bdd5c27ea08ea1220673878d2e7469 1 0.1
18c368a0348bac48e346635838e9b858 1 0.1
18cf86e9bbf00c4918f35d0daf778774 1 0.1
18dd576eaa2d0ad4cb5885d308a514ce 1 0.1
18eebd886c348e2b19b7938e4bef7c79 1 0.1
193422cc100a4bacea5916b3097b46c6 1 0.1
195ccfce26d7832884ce0773952f35a6 1 0.1
198917205a6acb32fab3a5008f823a64 1 0.1
199e756a4647edabb699ce1c5605245b 1 0.1
19a02355ee54a1cb2ca2b07b36e4d8cb 1 0.1
19b318112eb20ce29492a54e7292c8af 1 0.1
19ff6ce6dd523451a102796a5bda7613 1 0.1
1adb88300b08cc040d0ba7cb3b5946b0 1 0.1
1b48fd4ef3c5eb44f5c47f0d0d592f06 1 0.1
1b94c4887d871f7f91f339f57179f2ba 1 0.1
1bb45da2f3cbc2bbe9366b1c511e3782 1 0.1
1bc36c397ee821325295b8939060f0f8 1 0.1
1bdd04970fd705fcf7a68f741a1ecfae 1 0.1
1bf77bd1eb1d6195d24d86a20804b648 1 0.1
1c28443e5a11fe1a84419aa6fddb20eb 1 0.1
1c4bf37683851c7186b992341859809e 1 0.1
1c5e5e6819bc2db3affd8be5d6d78b86 1 0.1
1c8a16000c3a70c35cb828f27cba287f 1 0.1
1cd6ff8927d7d4b9b9e98621d0bc5820 1 0.1
1d95825f50a0def872a61df75a129324 1 0.1
1e1f6a503e566da325458e0bb19e8be5 1 0.1
1f399dec60266feee82d730f3f98075b 1 0.1
203b5ffa51ff222616bbd44d51dcc1a5 1 0.1
2057dc496e5946490d61a11b86c07ff1 1 0.1
20ea9267cbb0ace5539cbb7a82863625 1 0.1
2130217d1f59f7061212b28e4c96a528 1 0.1
21be33c476bf34f853b9a29044c0b90c 1 0.1
2217d71ff55615aa0ab1604e099b7167 1 0.1
22272eb7460d8ede4855760a4e0d33eb 1 0.1
227786b5a15dd3b582d1e12a8b141efb 1 0.1
228f37696f32bfc6a2f8a3b3383e6ad5 1 0.1
229fe083183a3a00c1ac6470920454f7 1 0.1
22e0a8496b852d7d1979888f0d1cd357 1 0.1
2329c4775edb35ff35cc8d8043345160 1 0.1
23b4788b972793c1a77e8fa87d9a2036 1 0.1
2415177b1c0002dbffa6ca2f062a9e95 1 0.1
249585a0a84d08dc1704589beefde3df 1 0.1
24990e715c5b77eeaeee2495fb2a33ba 1 0.1
24e83f12d40ead5098701e5769ce967d 1 0.1
2522ffdc9c1b81c78fe7c40c1eb040ff 1 0.1
253cf26282ca082242215e742f95745d 1 0.1
257b780154d37582d88891aec2043b81 1 0.1
25cf6b66e5317da05867ea5b09e67146 1 0.1
25daf436eb3536a45efbaecf4284dd29 1 0.1
26676cc28a6e34fa77e954a28ca55888 1 0.1
26ff82df4971a28304a1727d6a13245f 1 0.1
2705c6aad806ab97d4954e1e4a4e3b4c 1 0.1
2748989bedc4c7fa8b9804aa6ede31b6 1 0.1
27622b58aa9131d012aef77a2a42f92b 1 0.1
27677e5999c428db63652e007bbc69dd 1 0.1
27911adb3bf5e415fce357c6a8af09cc 1 0.1
27e303ad57774fa26cfe91b87c8f99e3 1 0.1
27ec7d064230a07c3ba2f049b8ffb286 1 0.1
28155e3d5bbd5297d1562431cb11d035 1 0.1
2816b72e8413770dcc19986a85c0b14e 1 0.1
28d04e749193413b96eaaa9e73b7a124 1 0.1
28fe9b696dddb96078c590638c40f4dc 1 0.1
29619aa9eca4589f7f6dfe0f99b24a6a 1 0.1
29815bb915f07978350caaf6c8c31533 1 0.1
29a6218fdc3b2f845adc968647629d5e 1 0.1
29b7509ea197a0b7ce343beff88aa60c 1 0.1
29f4e6e3200f5efa8ac88f63fa7f5290 1 0.1
2a0edfbc10360975af9bc50320af9d9e 1 0.1
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313269a470c8d05f5eab65509609f3eb 1 0.1
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31890b9f8bf20f0315850e841fb40772 1 0.1
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f6004996bcb684165ea51c5c050ee13a 1 0.1
f60415893fd539871fb90ff8258bb7c8 1 0.1
f6455deb5530ec948279190bc6acece6 1 0.1
f647ce4c341bd7eea9ff32f4b1253e01 1 0.1
f6536868f1a82dccb4d5db33b46a30d6 1 0.1
f7276ce8699cb9445af05f7d909550d2 1 0.1
f72a1f8c42ff4f76ddff9fe913a624d5 1 0.1
f7686f2a50a4706b55ff341859167ac4 1 0.1
f7810b9c1a5f636f3cae51042ba4a2bf 1 0.1
f7814dcbe15050ca9c20300eb957b50e 1 0.1
f7b4f965bfb28b522d2571f153d49c7b 1 0.1
f866b0a91481f1f48a611c0f2011e53f 1 0.1
f88016659f2e441073381d3825273a7b 1 0.1
fa6cdee755a8a42408baaa006d6ef51b 1 0.1
fb69ce23d70c0365afa69c8969ef9a6a 1 0.1
fb6e5dd7b514de06273b36b9711def12 1 0.1
fb87f8158cbdc5d0815532f5a3b70424 1 0.1
fb98b3575cd1643450fa22450433bf99 1 0.1
fba1b0a07f1c19ae075c7a77c0eb9daf 1 0.1
fba9dbce1b258440ac4a9fa084a05fe9 1 0.1
fbaf6bef66bf713c8d9ffdc296ebef40 1 0.1
fbc2e742543d2685dd6255334c909aa8 1 0.1
fbdf5af6bd61e7bb7a51176f562300d0 1 0.1
fc285f220a372dfeead83f5cde6c1404 1 0.1
fc41867393b80f7cce4365d85f9b2fd8 1 0.1
fc4e4ca66daccb1bc937177db7266301 1 0.1
fdf4e739635b8944faacf114745e4432 1 0.1
fe255d49620f406aee8e55db4f75c841 1 0.1
fec1278b9e7acbe9b0b4a00725f1104d 1 0.1
fed1bac3261ec961c9d55610e1e0dc9e 1 0.1
ff28a9db36191a23ab5baa55460b2ce7 1 0.1
ff3adda7ff10dc6f1ff5a03080d76b6b 1 0.1
ff6c505700c956c7928ab6f3123af944 1 0.1
ffc0f95ada082fe8ff84f7798fa78d4a 1 0.1
fff021863812d419dc985ce0f6095079 1 0.1
fff90b747642a719da3d0048f712d800 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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