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Data
Data catalogue

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

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
00604d3568c99e1ff2ebf4c563230297 1 0.1
007de441d9c3fad4fed1ee6e02bcf392 1 0.1
00a214dd89f39478a563ea81b2a8f3ca 1 0.1
00b4092cc92c85a723bb1b25a58e3b55 1 0.1
00ce796c89c0d2f31fd9131654c5cf9a 1 0.1
00e9165364b3e09c499bbf6fbe1cf995 1 0.1
01230e98e0c558dd73c21a66d38ea808 1 0.1
013116c23bc1c9b0b08326ffa35f7782 1 0.1
0189f715da9e9b2e4de3717c1f03c605 1 0.1
01b02a84af0f23131cac1e6bbde8bd67 1 0.1
02058b42b25f86ffe831a3146e6aaf10 1 0.1
0223d69556cd0ed7a16e65a6e80b93bd 1 0.1
02485ff7e3032e9d2c3f0245b96a2153 1 0.1
029cf550222dcdfaa65b2204e73c58f4 1 0.1
02a5efd620b28cb5556d8bdff19eac90 1 0.1
03036837c76a20c963c57e39f001c986 1 0.1
03a63f9887577c2946b7e6d9a5c6a341 1 0.1
03b78dc2fd0d3fb0fc328cd337f864c6 1 0.1
048f53448089194037cba216c9597cc7 1 0.1
04dfe346d6a5234693308df217699166 1 0.1
0539496889d0a9e81a6937f018fc8712 1 0.1
06020f30b03217179430e3e00d0f5046 1 0.1
0672e95282b96b91d9aa361d65e61ebb 1 0.1
06b9c8e958c30caf9e32f88c219fbf2b 1 0.1
070df60a7cf98d2b2aded83e77841966 1 0.1
0715999b432955605fc71eb58b261329 1 0.1
07183179c54fcbf3f42c8c81d0dd17b5 1 0.1
071caf2cde6ad25e1a5d5f25bf08d470 1 0.1
0737445dfc0335b308cd272e42d24c02 1 0.1
07a950fe7f0122e9b18ee867ed4a458b 1 0.1
083803d2972e4b2eb9ae3b6420a2ef27 1 0.1
088bdea0f371a2606e29e2c3db91464a 1 0.1
08bca078cd36577cb6a03942445ec8c5 1 0.1
08ef2caa45cfb95a52f6c4fc93e9c05d 1 0.1
09069d98f8892de68b908133adb683f3 1 0.1
096275171a0241fa2fbc99c737682c31 1 0.1
0962ffb68181a95b67b560ac8347c1d8 1 0.1
09b22c264757eef670b1f48b0fdc6271 1 0.1
09ce4af53802f1fcfa1d14e76c8f3978 1 0.1
09efa63289ff2e4296271c39ff5d01d0 1 0.1
0a89c63078bca6934801a1b3cd07a409 1 0.1
0aca3b670c5b9cdc3017ba1df6fb8c86 1 0.1
0af59a671d8e4dd820f1227d61158147 1 0.1
0b3288594cfcf2110584ed2306c4c17f 1 0.1
0b5496d818ce0396be16cd0fb4a14b24 1 0.1
0b56cb324ac9c45c536086c0b4720b20 1 0.1
0bc42fa1c6e33c44e86e60c92bca5599 1 0.1
0c909d348e1f0f917d52f3b6c68b980e 1 0.1
0d0064a0b6ceb4d928bc5f9a72a3f421 1 0.1
0d162fe3dbfb1b954222d71cf31af19e 1 0.1
0d1967bf413727031784295ae34bea1c 1 0.1
0d1a9c61ff60044822f775772f57ac45 1 0.1
0dc033fd0ac349faefa03a80f25b7a1b 1 0.1
0dea81cb6319ea35cf2ebdc93d4c20c0 1 0.1
0e027d4b9e93b9ad4e4a4142ae557cef 1 0.1
0e5485de5a14f98afe0c0ace1132bf17 1 0.1
0e8a9c43f14e41d0321c090a6c59bda3 1 0.1
0e9529bbeabfa5e016c951eb73f3b5fa 1 0.1
0eb833f25aaa7ea15107f7cfb416fe0d 1 0.1
0ebf75af1f9237455a6425edb9113022 1 0.1
0ed7fc646c1c4e2a3fb85485c52a0fb8 1 0.1
0f113c1680e386a169c306cc89c4efeb 1 0.1
0f5fb17411f608ce4f135ce728bc9b6d 1 0.1
0f7c11e457fe7d6c14da710dff916e39 1 0.1
0f95c198996a30bdeb4e83c4249975bc 1 0.1
0fcf4f832deb585a897d70922541bbae 1 0.1
0fd3d0883bd794e12e9cb1c710c68ddc 1 0.1
100f03f25854d21d60a9cdd8cba9c4d0 1 0.1
10f73cd8d1d6c52b6e23abcdea9823b3 1 0.1
111b242e74ec46cca3bb8d5300b0f396 1 0.1
11ba26c243debcb74e08178e18766f20 1 0.1
11cc709b8567592941b2f98e0c5552af 1 0.1
11e193310baaee0a1361ebf1f7111d16 1 0.1
125847e98df0c4e8a770bed100cc073e 1 0.1
1278fd428d4de2508d25bd09f510c2d4 1 0.1
12f3c7de9a89115a5d40454ac344af53 1 0.1
1317ae8ce369a798f4169f696e1e73c0 1 0.1
13625aa0c284f04fd6af4a600fc1099d 1 0.1
138d1ce031b84a727ab0a5e9a345de7e 1 0.1
139d158065e38d9d4e8d766a0194c11c 1 0.1
13ce6eaf1d97e76ddc1b7f7865d7be07 1 0.1
141b28338795aa489b215005072364cd 1 0.1
14b39e4512af455bb677a5fccc5d7f60 1 0.1
150825c5158c051c16d45eebb0849510 1 0.1
151c15e32e293d8bdd78add0a24b0560 1 0.1
159c32b2d20373854a2d81993be44bd3 1 0.1
16158815e0ee837290a43ea726d044b2 1 0.1
1637b391e9d5c3466f137b05fc0dac91 1 0.1
163804b0563b7cc54354cbc70f662bcd 1 0.1
1682f73e16d94a67a1dcbc08f928307b 1 0.1
16932205236923b206b20fa8131cb12b 1 0.1
16ac696f831e343c5643cf78e7e9d3b2 1 0.1
173c7b19dd679c6a2096f2f7144a4a40 1 0.1
176e7fe78c2026944b7eec84ed35aeae 1 0.1
1778dd1af813a0a9ec1b489f80706ead 1 0.1
17aa50538a70c5626cfe247ceb6fa5eb 1 0.1
17abb46e2c5995bf7569462a58fa2726 1 0.1
17b938f0463effda0e214ad4f34715f5 1 0.1
17cc7f0da960b6ce2b33ddccce024375 1 0.1
17dc53653665af60af26ee9f6c0e55b2 1 0.1
181db4def79694f36f4b5f89b5c4115f 1 0.1
1833fc1f9134efd4d0abf41f7f532d98 1 0.1
18dd6293c023a95654ad436dd611deb3 1 0.1
1946d902ecfd27dfc6921b86b9c95b4f 1 0.1
19623748c09a3a175e272f1102e5e3a6 1 0.1
197f577ffe5ac0b0a0264e8110bd7093 1 0.1
19cda9a6fca158fa68cf19f111a23403 1 0.1
19d05e01a74cdbb216147ee18d0b919d 1 0.1
1a8094e4372ab3e25662f18c6ada2e60 1 0.1
1aa3e3448985c4d62f015bcd7536911a 1 0.1
1b085533b649ee6c9f51135a3e7c9d24 1 0.1
1b3656fc54777aafe1d2dbf455654c01 1 0.1
1b3f773e0a513c0c9ce03736fccb4a9d 1 0.1
1c01c69a8f5ddd616087ca5bcefa0eec 1 0.1
1c614bbbcdf30121a47e63745c1c3f15 1 0.1
1c901a4292b4792eeaec2cd7008fc7cb 1 0.1
1cc045559a6cf5d677c826971233550f 1 0.1
1ce5294d1ad75fb8b5ce7daba4a22027 1 0.1
1d0557bcc2ef67753f733152d41c8005 1 0.1
1d0f000f91f9faff87cf91667fd79e6d 1 0.1
1d13c8b6b452bf38850a6c177324845c 1 0.1
1d6ed623e4d96b22422679f92159217b 1 0.1
1d7cc2c822bc4f17b723065ad33031bf 1 0.1
1deff81423b533cae3d48c2f40f98554 1 0.1
1e34bf049b46b51f05c4861182bbacac 1 0.1
1e86a93e719a627cf39fcae64de2c98a 1 0.1
1edf60dec08a2e8ef11785a941744c92 1 0.1
1ee7bf4134ceed5cd962b1729fbbb239 1 0.1
1f7a179fd1c3a0092cf50d7a13fb0230 1 0.1
1ffdb89eb6b84083e3e5ce0aaa910e55 1 0.1
2028ff9a1dd7cc2598af58f57f208d46 1 0.1
20a5b897a50374fa717788efd31b052f 1 0.1
212c7758b09578e8d650e01deda50675 1 0.1
21e8470b770b858e16164498813b7db1 1 0.1
22477134ab678b13776e12e22d993a3a 1 0.1
22481b5f610dbbcd3b48282fd6ac33e1 1 0.1
2266af5a89bf2155f5210eec344b1446 1 0.1
2381e94f2a45e375bc583f5ed5f88602 1 0.1
23ccf29e68c3f7e88a1bd9bd99732c17 1 0.1
23d187718f8cabf5281402d54f1d91a7 1 0.1
245e5b939f5073f19d5eb45d1d9ff3a3 1 0.1
246722be771f0d87c47d3cf8330ce03b 1 0.1
24761c856b9f9552d3e26f11424d6bde 1 0.1
24a5d4b22995ca1ab14e87aff76422d1 1 0.1
24b900f7bd96bf76b1c0287f62c1e9dc 1 0.1
24bf0339b24d19ea1d60d6b31715db82 1 0.1
24f62789ff17f55ad4c5599d69c040c0 1 0.1
252e55aa72e2e4af8f714862af834311 1 0.1
2532a9e3f5b7779bafda13240e914ab2 1 0.1
254a8a36eb42962f6f3a46380050a7c4 1 0.1
2567002f6f16c89ee18d988bda7b761f 1 0.1
25dff02fe69036d77b4aa060c03ba4f9 1 0.1
264daaa2f37501770094b3adf174e21f 1 0.1
268b6e855134553e6407449c19e736dd 1 0.1
26acf93b151f8ffbabce483b50e6d313 1 0.1
26f741d2c32665e38b484429f6bbbba8 1 0.1
26fb0236563b082b0e9824f1664ae3d8 1 0.1
27c139a11c3d9942d077dae6de98f970 1 0.1
27ccba9bd4bd46cae5cc421b1ff154f2 1 0.1
27e25fdd15ce48a44ac8973ca508c92e 1 0.1
28655972a6e3ca9cce5d49c378608f97 1 0.1
28c0e31e227352d4f126bfebbf5b2d8a 1 0.1
28d1de29f1ab908c8873ed199e605562 1 0.1
29292739e3f8185d95a8e8cbdc74b780 1 0.1
2996ec39e4bda60ced3d517aa6fb1c01 1 0.1
29cc3a5bd9537e43f56a7528b777d58d 1 0.1
2a4487f0727074fd1e8830215f906613 1 0.1
2a7dc666556911adb15658290346e590 1 0.1
2acef4443663c8325c814a3b512d8db4 1 0.1
2ad4d31a57491f100c249f76e0353866 1 0.1
2afed7e38c261a467d43af7d027af803 1 0.1
2c4abde727246879f0da718c8871b010 1 0.1
2c744831cdb9ccec90385e371cea08a0 1 0.1
2c8584be0af1308c9e0f647e78a9c964 1 0.1
2cc46be72d85d8733d5cda9c741d6a2e 1 0.1
2d7687b5563e8b89943e5d75f084aa37 1 0.1
2d7d3df72abf50719df55597a993555b 1 0.1
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35049a26ae3e31b96f5a815a40a257cf 1 0.1
35118c813519ef8cd4b45affe828c531 1 0.1
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f51f44dac0474a632461a909fe338ce7 1 0.1
f5537d3ce81c5156f709475f4c68c69e 1 0.1
f5fa189576789595ccf5bbbb4ba24782 1 0.1
f62427fea49786cb4dc378adbbfbc6a9 1 0.1
f7323752f6dc735c231e08ed8401dd92 1 0.1
f752d299a6a0c2ef5e0ce5afcb08b9c7 1 0.1
f790f8f89dac28b4e475ee23d7d685a0 1 0.1
f7b2868720ffd1f9914a99d72ada7a50 1 0.1
f7b4422c2b876e700cfa68c527f341e0 1 0.1
f81a64d70aeda589a6e6e6bd51de216b 1 0.1
f81f976c3bfdc23344daff8940a5a391 1 0.1
f85e5844a4d94582aad673f91506a5d1 1 0.1
f87b53e93677d67821696869cf959b6b 1 0.1
f881c2cae25ce2dcff5b81da30258f12 1 0.1
f8d2ea0cd7a5244dca84a8489087057a 1 0.1
f96f3e232d712ee4a8c5de1a4b4223e3 1 0.1
f9734daef5c8b8bb913c12c70d65e0a6 1 0.1
f97597a1bf618fe7db2a9ea4634ff3a4 1 0.1
f9a75960c38a79b59ba2084820e96a48 1 0.1
f9abf84fb0ebfad38af4e368bb87afc6 1 0.1
fa079c4877ccf17c61235db4fda1442a 1 0.1
fae5bcb67de72dc4f8ac38efec7a927e 1 0.1
fb00d3abd85397f6f5ff305fffd6dbf7 1 0.1
fb04c0a3429df712f2df1610801fd838 1 0.1
fb33369378a4ca496c005ab7ba32c48a 1 0.1
fb99921486bba7a36c5768835cb835ee 1 0.1
fbb48d5102a685751566d6db61548445 1 0.1
fbe026504993cf0011e02515a59d3fc3 1 0.1
fc0c234d7695c85cc9ecf492f6fbed22 1 0.1
fc8a1a004f9498d8055caa7e3c9a5e4e 1 0.1
fcff6f9cb99e114c51defdd278d416e0 1 0.1
fd3987d2f185ffb58f4833272cd860a9 1 0.1
fd5433069740856996d497d75ba12ab3 1 0.1
fdb289ff95db3814f37e88cd9272cd6c 1 0.1
fdbffacb0c02ff5dfe8969be8dd9277b 1 0.1
fe327d2018a48d5b6c2543a355b1087b 1 0.1
fefaa11fe2e75d5bdc58b0542c302821 1 0.1
ff814a3e2a7745d052f53ed586657b30 1 0.1
ff8c79d86a5140bb01bff56f0a5adc3f 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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