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Data
Data catalogue

How are you, Slovakia?, Special survey February / March 2022
study description | list of variables | data access

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
00648c2f4004aaa50418dbffe25b3678 1 0.1
00b9918f3880be76e8094f7cae5d911b 1 0.1
00f0077fc67c0130c660e1ba4f98ea33 1 0.1
01b2539cbe9917d9a388b2bec4832def 1 0.1
02a4bce5618984dfc389ca32ee930849 1 0.1
030afa13c489f6e0513d55785ccf275f 1 0.1
035f5aaebb142c0dd0ae8a679fd8db51 1 0.1
0386dae2f6522eeabdd770cd5b333487 1 0.1
03b3f651e29be33262e57aa601a1e460 1 0.1
03d840b19138adf1ba964bf6c5f21bfa 1 0.1
03f46f319967fe3c19e373c55cf5693e 1 0.1
0488cbde2cefea89bbe102f0311768dd 1 0.1
05033ba01be849d426ff4e3c75dd0f20 1 0.1
0515e639586539177d4cd76ae08345cc 1 0.1
053d50b6926b9b0b32034a1803bcab4c 1 0.1
053e34969c35a15a0e848e489802281c 1 0.1
0551a5e3ef787c19ce4b93e9611c7e37 1 0.1
056d9eefcb9c6f76956988a2cce96ee4 1 0.1
05e930d3faae2520360097e30b1a2c4b 1 0.1
0671cfff4ffcb5f5cb9a4519a90a6f14 1 0.1
067cff6395c5b20abf3ab4c8bd2f03b8 1 0.1
0680823450d745ce2c3de95a265e2dde 1 0.1
069b489065975046a58a986b50c44824 1 0.1
06d122b978fcdc0f524f465250639272 1 0.1
07393b9d280463c9c5ad088c26c6dfca 1 0.1
0792395e292378bb9496c474347e0438 1 0.1
07bb9950473f3b0ad30e4fe43e12aee3 1 0.1
0878e3163937c4aec3b0d6dc80175cf5 1 0.1
088655fafc5198e90b2ab0853c44eb71 1 0.1
089ed7a447742b25da02022cb00296c9 1 0.1
08cc0c4d9ab8428b721507eaac3dc296 1 0.1
0911eaf3e3ee60c23fa18a854224f8d0 1 0.1
0954a3d49269fd859773ae9bb0c106dd 1 0.1
096cd0cf63a700941439807dc0834086 1 0.1
0a7163c7ccea4cc39dfaa441c44f0a02 1 0.1
0afad8cecdc7decf949a26b9458a375e 1 0.1
0b6f3742103b853a3efd1e158429a412 1 0.1
0bd0e95e1b8928fe8617884bed2ce1c2 1 0.1
0bd1f18b0e8a21591818b80a0f882848 1 0.1
0c051cbec910ba8685eda10a5beab5fc 1 0.1
0c7a945bd438eb860a54ecfff8e882e9 1 0.1
0d351ee0e6e3bccefd26c7a5aa4a372d 1 0.1
0de6365ca5fb000709283a4d2c25f184 1 0.1
0dfc4413bcbd2a93957f179ac9f7e6ce 1 0.1
0e3d95a667188039c41eefe964fc5721 1 0.1
0e62d8b3fbb14c4fd78f0647becf5d3c 1 0.1
0ed6760261a698395c04c4b70a84dd5c 1 0.1
0ed67f447f12f3c890ac92555dd15f7c 1 0.1
0ee6a8e8f457fad157172839c83a48f0 1 0.1
0f32d15f266b198a421d872ba8c1a350 1 0.1
0f6eceb24730cd1636340febc0c6bc3b 1 0.1
0f80b3304e6a8e77be5ceef76be26782 1 0.1
0fb4efa6b01322bdacd4808a97bd43b7 1 0.1
10484a0d93fc9db4809ec7637c1370d4 1 0.1
107110b9ad0090a0a6a6042ccff4f369 1 0.1
107c92f6a6b9af34a631ffc81597c9cb 1 0.1
10c9fdf6a52c58e9fbb516cd03c0aa2d 1 0.1
10ee00cb076091dba1599c147bc23f3b 1 0.1
11128f424781978db3e1b4fe8936d707 1 0.1
117c83eb6f273245223f2f0c92b8c01e 1 0.1
118f7ea098ade02adbd7f83ffdfd1d38 1 0.1
11b4496d27457468af69d766d13187bc 1 0.1
126557d3c567a4f13eba49cb7147486e 1 0.1
128de15efa6db1ba9f423c9b280838a8 1 0.1
129fa4321a6b456ce1427143724319c1 1 0.1
12b57ff1cfb2e03cfd2770423593d999 1 0.1
12ecfddaf05fa7e785df3636d4de32f3 1 0.1
12f0db7ab488b01f2b18eda080ee9a7c 1 0.1
1303710ed25d7f480f6abd4da496ac1a 1 0.1
136d821c48783051b604e881c869f0a7 1 0.1
1376872fe9eee325d290766326bef0f2 1 0.1
137e607fc124116e9efe1c6952cf54c7 1 0.1
13cfad85a7b1cc863c102d71f76cd026 1 0.1
13fd96053b61140ed7d44d04c49582dc 1 0.1
14402ba846e94bcfc3a2b159bff7723f 1 0.1
1446a7dc1d800d72b11baf33f33e5b4d 1 0.1
145bfdfa2f9d0af4411f3067eee90f20 1 0.1
149af55a1a530f7a77ea7789a790a4a9 1 0.1
14efa32b61d079c3ff4dd0414098db80 1 0.1
153ee2f0e820740dcc0543b8871b9e90 1 0.1
15ae09e8bed97f02f99ba3f2f8156d77 1 0.1
15b8a00c461e5bfdb6cacd369a216e27 1 0.1
1641eda45ff87fe3b7dca0a8a9dca7a1 1 0.1
165a0e24be0095f2ab91ee48d58fc64e 1 0.1
16b78a28051794c593fbf20097550163 1 0.1
16bdaf169f0c08e7257b030a08568fab 1 0.1
16d6c77d717cd59ec20bdba78d362316 1 0.1
16e1b548a96e04f510cb16ca92d6b8f0 1 0.1
173e1b412f7574de367f00db55969636 1 0.1
17833e7edf320d686aa5ea31f260a349 1 0.1
17e3835e7ffcbccea263e67266064ce4 1 0.1
1847d983ae838b7838a3b4477748a399 1 0.1
189447254efabfa62304c79224a17f6a 1 0.1
18e39f77a8416ad2439b20f0cbb6a5e4 1 0.1
193c0f0f34abbfc02b08191a42a74300 1 0.1
194b530e1296bbbd41c3df60d9759d89 1 0.1
198640910564753130b36851c37c50cf 1 0.1
19935572061525da77828ef57a4c5132 1 0.1
19ccb020430c71c30a6d04113b60a3fb 1 0.1
19da8d27bad2735ea1b92465556aed1b 1 0.1
1a3fbaca0bacc85c252436f24e88d8b5 1 0.1
1a4bc2849e8a15ac53f26397238303c3 1 0.1
1a895aa7dd3a3c96a2571f49babbf2c6 1 0.1
1aee20cb807a7d1c54e55fd069259ea3 1 0.1
1afe93561f54984e0fed1eb16b9fa910 1 0.1
1b5ee63e4744168dff9d982552578bef 1 0.1
1b99c2ab9bfd05bcb3aef07f50978d68 1 0.1
1be316abafb08320700a8e3a58dccfc5 1 0.1
1c542fb046bc8fcc7bfe536b61f292e8 1 0.1
1c669e3e17a03fbd2adf10ca53d85d26 1 0.1
1c74536831e058205dcb6132f72c0d91 1 0.1
1cba45406bf8d22723b45eabb1022c93 1 0.1
1e2369a39c597b50228d97473e8ebf00 1 0.1
1e887e76682e03b6029107a5fed118a6 1 0.1
1e93de790c4825953826beaffa2a7a5b 1 0.1
1e9b7de9aac233797e48bf2408fd32ed 1 0.1
1ed0ab89b398b1b567a6758e9e8ce45d 1 0.1
1f79a9176fb516974e30f32760af14f1 1 0.1
1fce25364ae29e2070407df2f00ede60 1 0.1
1fe15b809ea4cb16d66b331828eb2967 1 0.1
2152e359a6a902382c673b90343982d9 1 0.1
21b34caf35687d70399ede19ca8af7f6 1 0.1
21f643350047449d9300984842bce326 1 0.1
223333004bb6da1f9ccf49b43e17c9d6 1 0.1
2243ba32a40a21b82b7e3d7921674bad 1 0.1
22479f9217bbc92ab9a6985118384783 1 0.1
22d5f546fe41734f86044a456590603b 1 0.1
22fd4be895baed1c6f93001d67e5d402 1 0.1
2324814814e282cbde5909d19884d031 1 0.1
23c24f3b18a1954b74b7a926322f63c0 1 0.1
24048f36a01a28e96cfd96afda6e0976 1 0.1
2443af70d30861d87659c0f4156e6f3b 1 0.1
245240ca4b4bc2d01d9d2249aeba3191 1 0.1
24537d538dcd35032c4cf251bdea1ad1 1 0.1
2467841373e876fdd066ce0ed19a24fd 1 0.1
2484ad51f0f2f25d01cebfc377c4b465 1 0.1
24b31542f51ecd1bad734126145ed236 1 0.1
24e87fdaf9aa4b8e23764d67d2dd6fd7 1 0.1
250ea372c902e7d8920b5d9c1e973fee 1 0.1
251ac98a908d97e454ce3cbc3750184a 1 0.1
256d0192e52b67ab38ff05989edfbe87 1 0.1
25bd52489c59a049f3e471b46ba8abb1 1 0.1
25def986a25fec724636a88e19509e0c 1 0.1
2601b5acc35d9ab71b2f316bb9253441 1 0.1
26105159fdddaac466954d7d96d3f353 1 0.1
261305c91c8d3dcef78a76e76ec3cc0b 1 0.1
26a323cf7c0b2ea9dcaffde2e6a0fd2e 1 0.1
26a484642bfdc3af3b5ea107d5c3b2f1 1 0.1
270572d67ccf9991f1e22eba90847919 1 0.1
274d4b025f033bbb2d515276eaabfadb 1 0.1
275fd60332e2c87b646e339e8631eecb 1 0.1
27c03f286d9dfb0fa2188269d6adb721 1 0.1
27e0e12279e457574d615ddf52bb145c 1 0.1
286e80dc8e2df7f74c0fc520cfacf6ef 1 0.1
28c58069e58118fbfd0fe994ce6d1b90 1 0.1
297ea7e96c7ffbdc0c7cde014ab38ab0 1 0.1
2a065bc4f530ae4a3ce5d0cf07ccb59c 1 0.1
2a3778c8bd5e806a047dedf86373e227 1 0.1
2a396fc17777981bc3107d6e5762d4e2 1 0.1
2a5601014e8e058f99a4628689d65287 1 0.1
2b5da9c6037b8862af81214664d0eb6a 1 0.1
2b85f153581c8430ede4599c304648f3 1 0.1
2bed6c8959d071a6f14a92788321dc68 1 0.1
2bf43b4c822cdac6cd05835c4e711135 1 0.1
2c1710f012527f832963e7231b763281 1 0.1
2c7d4063c9561e47b83b68b19a317ecd 1 0.1
2cbb196ec6853e060591c6f28f7d515c 1 0.1
2cc503e158941436fe2ed12b8625c5ff 1 0.1
2cdb31fcbd0428ab45cbd88ce23c65dd 1 0.1
2de1db98d50d14d19a625d6ef5bb70d9 1 0.1
2df28dc95db40e9450f61aa356739f32 1 0.1
2df4df727f0fe936c1df713929f32808 1 0.1
2e3487e2e2858523c435fee840654c44 1 0.1
2e372f9d51f9ab50d02007bfe1627a77 1 0.1
2e7c30c4a9b8179be70aeae37ad71fb1 1 0.1
2f8f48c7c179f0ec53d69e4c5a339111 1 0.1
2fe6fb02f83f2cc09720ee953dc102c5 1 0.1
2fed72d0ac5312fddbc3e023ab285e4c 1 0.1
30046308e41ed64abd6c83bd8e58c072 1 0.1
30136477ce6f29bd7aafb4ff2a1742f9 1 0.1
30447ca213ec9b18ecd9b03066c9c43b 1 0.1
30aec2af70ce9b8d03eef50bd14531d7 1 0.1
30b2f4aa9d67ffcafc70856e720a5027 1 0.1
30f81c652aaf3a5d1799d3d6683a0a78 1 0.1
311617b303f4e042e89f2c30e38923ea 1 0.1
319d90e362e36bed96391ee7cf44d6b7 1 0.1
31ab6cdec5b9083372cfb2ab739d90ae 1 0.1
3250cebff7a782d5bb6261522f5f8b39 1 0.1
32684d7428323a5fa30c6ffb5fa9bdb8 1 0.1
3274d0fbfc8e0722f5e92c5171cf00c4 1 0.1
327ece3339f5aa145554b72892ee9c45 1 0.1
32a3b73ee8184d4dcdebfa8fd6f5528d 1 0.1
32da289c59661e9e9cb83e8ef8fca862 1 0.1
32dfeaad32e5019e05bcfe35d216b5fa 1 0.1
3340c072cbe6c379ac05795eab27e67f 1 0.1
33e48ee710f06f229044e0589003c7ef 1 0.1
33ec8c100a39c9b248d1eead9ba93442 1 0.1
34247234dc78d36d6778cb21852d0569 1 0.1
3451fb82823c979f1f15c6c503cda297 1 0.1
3486124262b2f4515f17cd194de074b8 1 0.1
3486ebf6ef5a423450bc064341072dca 1 0.1
349e4deccb8c0e0798915a8fa517ce06 1 0.1
34ceb686485fc2567c1728c15891d455 1 0.1
34fa1200fb205605d607eeac1173520f 1 0.1
3510f049868a5dc3e08534dad67e015b 1 0.1
3518c6ccfc39a6d02fefcbb6469dc477 1 0.1
3527079aca190781f12fd6666685f79c 1 0.1
354f3c0ea5c4b140c5bb496f5fb6e60e 1 0.1
359058c2b71f33415c7348cc5711e768 1 0.1
359e0531c909bbbcca62f5247f6da6e9 1 0.1
35a98202deca2f8ca5e62be9ee241113 1 0.1
36215a518e6e52c2bfbee3812693c337 1 0.1
364c19d66c56a3f62ac940ddc5403b7b 1 0.1
36524949575be6a8dbb57a76451f5a25 1 0.1
36708190867768f8f2284059c7175116 1 0.1
367694a3ba91f8c4439dcc9aa19453f7 1 0.1
36f24662c27943cc54a242d83c586c32 1 0.1
371752e6ef956094e1ff0f69030d91c6 1 0.1
373bd66172341a4ee0f261a0fa106c1a 1 0.1
377388dd70e1918e3fef1bd560784f3d 1 0.1
37cca925b6f5d6c582eb9dcd2e439e20 1 0.1
381878459c940d70c6c7eba8e69a4559 1 0.1
3819f76067db953c95beb25e1202b751 1 0.1
381b063389b14a4b7a68064666d649f4 1 0.1
381da43693bbad08f7bb4445da0327b5 1 0.1
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38335d5b2f52727151b75da992aced60 1 0.1
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394c76afd18a8ed5367f17607807d482 1 0.1
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3a599f9b01c881a1221fcfb47dd33167 1 0.1
3ad6bf033afb9eee213c73255719f6e6 1 0.1
3b008e7cab799a72c5b8e4eb3eee2e7a 1 0.1
3b1dfed1176f3ceb1d50de836be5bafc 1 0.1
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3b8b1fe0ad15a79b8ff29dca5d6dc9e8 1 0.1
3bb7109085a1d14ef5316cc1ab614a9d 1 0.1
3bc46d124b8f89c8bc6b77c787070c7b 1 0.1
3bd8e1e5b74e440c928676c02eb99134 1 0.1
3c6d214cdf9476bacf9ae1e4ed371a5c 1 0.1
3d0ddc9a0fc1cd0ce7228d848836236d 1 0.1
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3d8cf8f068b10b43bee7219df8fab175 1 0.1
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3dfc5b5f100d1d00c5820a0714d731b3 1 0.1
3e1cf94ef523a43c66530e1089530b7d 1 0.1
3e7339d21c446625058cbdc16af128a5 1 0.1
3f055d38dfe94e7a655350bae9691afe 1 0.1
3f4daa5da19b73f40a7b87cc675974bb 1 0.1
3f758b27d78f763dc4646f2049e5e6b5 1 0.1
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4b7928952066f4568e9ed74e8d93ec73 1 0.1
4b8b2630ca79e6e3ddde3554bd53ec90 1 0.1
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f407e3c621054721b7c2678d55abe7fc 1 0.1
f4260f82251cf4de7903e641be3ed4d3 1 0.1
f44aef1916e2a6a016489227b26cc95b 1 0.1
f46170e4926e78f65f92ad9e253fbdb0 1 0.1
f64d0b57268f3b3b335ff53684e8b271 1 0.1
f67fd07be67334c1f607affa636585db 1 0.1
f6a54630a3c53dece0fd3fa9f58ad166 1 0.1
f6b8aaab41f4d2e185b4643673d66393 1 0.1
f6bde33072e811b300189b7cd52e3b56 1 0.1
f6dab82d1e0f4df32d58d02d7f7d0fb3 1 0.1
f71416801c14b7ec70b17c0ffef7b7fa 1 0.1
f7e1d8c7ee837094e890bbf542863101 1 0.1
f8603986fd08fde470dadc66b411b289 1 0.1
f9027c4b05363a388c618d8691bfc557 1 0.1
f9314b8e1c5885a08f979c50bd170523 1 0.1
f971fc410bcacbb01ebeaf385d63ba47 1 0.1
f9df261c4f8e5f9bfceedd076334750b 1 0.1
fa7b0e65d88577e1bcb1d3f505337129 1 0.1
fa9dcde18e00a8eca21477eb968b4377 1 0.1
fab37a625e5c118e5f154746f5f78827 1 0.1
fb004fd83732880b364d7f5315f4eff2 1 0.1
fb06a620401f7684c274fa9195724caf 1 0.1
fbf7595f04053b1451db672d82693671 1 0.1
fc204a6cffdb7568887ebcb4610a50c2 1 0.1
fccc862d43e9e921ffed4e116e8384c1 1 0.1
fcd129df6af9e53f73cfd361ab95bfba 1 0.1
fcd18deef701bf703c1b6e341c9892e4 1 0.1
fd8bec6f7702eaa4e8b5156c409c2a3a 1 0.1
fdcb0650a3fec6ddeaa411ec3148c26b 1 0.1
fde4f9f1479595ba28647ed6757ddc6e 1 0.1
fe396d92f143171c0f92589ad0070a1e 1 0.1
fe446603884dd12bff33c9ff5b3e8cbd 1 0.1
fe4f92d54dcdc42b68ba30ff63f00ae9 1 0.1
fe649517b9e8fa3908196b82e38fbef9 1 0.1
fe65ae3df633ce38a8561c6ddee737da 1 0.1
fecc39e8420b8eac2298802b26a19b35 1 0.1
feeafc3045bf8d92f6b7fbebb80e3431 1 0.1
ff188739a9c14cc200d38f41f9eeb04e 1 0.1
ff7deb47acf0006cca8e207ca9cd6123 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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