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Data
Data catalogue

How Are You, Slovakia?, February / March 2022
study description | list of variables | data access

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
001c337f4c10263a6555b9f7043a5188 1 0.1
0029e524a6920f1a77aa739df82df308 1 0.1
01411a1915920fb8243ba3127f21c789 1 0.1
014211fcd436abbaf8285e6744e41ff8 1 0.1
01e9049609cefb8bf10666e59070dcbb 1 0.1
01f28c779f993340253624c99e432606 1 0.1
021da959af2ca63b4ce477c9fedac704 1 0.1
021e49882f21c7f2f5907a4232cc08d8 1 0.1
0236fdf18fb9c7aba942fca782e97796 1 0.1
024eea997aeb55941eb92f5dbe116c22 1 0.1
02c751b75ca68922b0915ec67d0717d6 1 0.1
02d0e10b7f25d1ef7bf3aedea739fd43 1 0.1
0418ee511820fd0dab94f208162180a2 1 0.1
045be029854d1285121b50cf22864122 1 0.1
046e9efe5922dfe025ab1825dc00a764 1 0.1
0488f71c16a794448f309f96669639b1 1 0.1
051f55ada80d905b2b44ce069d205868 1 0.1
051fa9fe65f8524373f8dee7e99f875f 1 0.1
053701b6e0ad40c9eb8b8ac183460fab 1 0.1
0559df91826e663d031eadf0d554fb5b 1 0.1
05b900e23c5a97600201cbb353ab47ce 1 0.1
05d291da5cc35e133088bb2db0805a2b 1 0.1
0605a6c90bf38c7d8a6e92252e60ca03 1 0.1
063b006d2a03b87deb728a1c9bc7a981 1 0.1
06ffc756a489012a4301e0027c5f4034 1 0.1
07040034d35c8e4c4462408839667f7b 1 0.1
0704f5314cc0000fb93d9aba5fcbaccf 1 0.1
071eb80e9f9037ad4e0e68d3af63967f 1 0.1
076249bf162e3571b35808411f289616 1 0.1
078fd54e567c69b2745ee087719fbd46 1 0.1
07b4eb84e467b67a71bad2526d9ab6a4 1 0.1
07e519ae4bde6a3a073bfd067aad713a 1 0.1
085aa9de1ffa7026ac5b59959a281d46 1 0.1
087a10026f46f52be392f3e823586a63 1 0.1
08a9ff16fa3a595db9a91b012ff1e34d 1 0.1
0915d6e48e52004beeda09115b7ad5b5 1 0.1
0956e89d07156e2587b14e9683714e9e 1 0.1
09a27353784ddde9f462c348e695b608 1 0.1
09d2018134f3b53e9cf346e9d0ebccf3 1 0.1
0a0a235e4bb6946cb4c28dbbf6e2d097 1 0.1
0a21a72d42addba2e87c27b905aed8fe 1 0.1
0a5f031c64586268a61091f6a219500b 1 0.1
0a6f7509e34a9ed29363d702e9764baf 1 0.1
0adeea6754a42767bd49cdcd3505fe1e 1 0.1
0b0e388fa36c578f9fa989536ced06e3 1 0.1
0b48cf115b18a44ca8cf06ebb535ddc5 1 0.1
0bf266cca1ec487fbb20a6e244e3dbdb 1 0.1
0c03c8a4b211b8c7ea6753c83c1f3eb9 1 0.1
0c431e0c05a0f7ab406ec618101df427 1 0.1
0cd235af229c24c7a217ca95cabe178b 1 0.1
0d35c86f9ef6026065fc7c69d46bdc0f 1 0.1
0d7f1ede4dc2a5871e01694463029bc6 1 0.1
0d8088c2bf4db25d2f0a7e71c83153fe 1 0.1
0dc663205f4bd45fa6ef04896dc9baea 1 0.1
0df545b46d9a23eb0e450f284ed1b080 1 0.1
0df9ae2d7adc8e6c072a10e645282ba8 1 0.1
0e3022b2fb396bb47aea6dcd8066e0b7 1 0.1
0e7618c1b8ec071fbc54e0729e88d7fe 1 0.1
0e8ff0b3d6bb632e5838d460fd2b88c7 1 0.1
0ea8e807dc60f1b0d59dff413ffe2ffb 1 0.1
0ea9617081571df31871a6473d876998 1 0.1
0ec7608a0789573a4d17464281a4eea6 1 0.1
0ee6894291940adc57127124c5acf7f0 1 0.1
0ee8cf2deba3243cd2d018bd38d87285 1 0.1
0f371af0fdb42a8c47da27b73ca2b466 1 0.1
0f8c4f4b7da2f581ad676e0e4bb30a02 1 0.1
0fa99a18b9e7ed0b6bb0239f5364f50a 1 0.1
0fcec711ada7cf55f667af727bdaff3e 1 0.1
0fd4bdb697137d389fd8c2c354751f29 1 0.1
103f99170a4e49598b995e8683dcd5a9 1 0.1
104f1ce2474dd9a8612434ae5bc6db60 1 0.1
107c93b740e761f26514cf2e6d793703 1 0.1
10aa716fddf7367aff8bfc63a81dd9cc 1 0.1
10ac6bad9d85e1d7c93f09eaf92bd611 1 0.1
11139f45743b4d750132dda7b366bdf1 1 0.1
11918b94b1e719ec6d88c9b58d78ac81 1 0.1
11d8e4791a92a867fbf0546c9cd4c627 1 0.1
11f4f40a35c902d621722c131bf14673 1 0.1
120ad9eb3d18f73cc1937ffdd41db25a 1 0.1
1238afcbc7221b600973b2d88aad6222 1 0.1
12dfdff82436b20a677b4688589793db 1 0.1
12f8631fd5dd5a0a0ed2642afaa43728 1 0.1
132e89375a49f48177911cf324f5bb9f 1 0.1
13e502bad9437d77392521dac8b5709c 1 0.1
14701d5e625fe2cd278e5ba7523754da 1 0.1
1492c9989df2c30613fe5a4805f79185 1 0.1
14a171f622842cf95df03bd1a36e1b48 1 0.1
14f491cffdd084b0516efa4a05e0f1c3 1 0.1
1535b3b00460ab5d4475e396d0f737f8 1 0.1
1541582fb361fa0b5bfe6b4fe847541a 1 0.1
159dbc82288ecd783377b3f4a26dd620 1 0.1
1648b3eb7e22ac0d5278f9b42127346c 1 0.1
16b9828f8bc46d8c5bf1adc0334794ab 1 0.1
1712fbb90ee982bd65ac9f1645065915 1 0.1
1724505eb6a01d51c67bab328b53c1a5 1 0.1
17651d0e915e5d5ee5e36d70679ea793 1 0.1
177b83cb6c83dd1af8445358e4dadf86 1 0.1
177e4d671e5e3beafdf436600d7dda05 1 0.1
17ac699c84ca09d227178cadbd673fec 1 0.1
17be4b73c77f4a6287a3fa1d2a29a2e1 1 0.1
17e5aa6df5c64a2d0c64577b3d335ee5 1 0.1
17ed21061df82e95a01f82350f479128 1 0.1
1835af61c5475132f8f771361c54f4b6 1 0.1
18cfb5f4ab12b142639d5f009c9246a4 1 0.1
18f75fdc05ee91ca8204bad3eda7271d 1 0.1
18fef657b4c8b0ab76716f73e5d8178b 1 0.1
191df9a3a828d642fb4d31ce32cc5cbb 1 0.1
19306aa069e1393c5af0a06d746f4111 1 0.1
19fcb72fc1a6a18d08676ac4af4fd042 1 0.1
1a1ba12aa4aa7e53e716eb9a8c660306 1 0.1
1a50a1c1a24a1ea2729d3fb06694152f 1 0.1
1c48ce8800bb4ffd13a2c0eab81ca2db 1 0.1
1c582c5b3bbfce689c3267464840c193 1 0.1
1c85bcef6cf11c7a96277f394d62a347 1 0.1
1cd1db4e83090b985ad8e914ca8edc1b 1 0.1
1cd7ffb56be7feaa5ae23867360c0137 1 0.1
1d233925a71c23e3ce3323a4465abdf3 1 0.1
1d4a8b0b2c8975a42f6769f1f38ee9ea 1 0.1
1d6cc4409aadef818f69910b1020b91d 1 0.1
1e0f2e62f5885229b57af881db2cc52a 1 0.1
1e2e6d2461b21b7457ebd8d5cd2af8f8 1 0.1
1e395be06ed5ca3702509adff514c0b9 1 0.1
1e5fca9a403c6cf7a447b7b314b3a8de 1 0.1
1e7beab6c741280ec6cf326b747d6074 1 0.1
1ee601ac2f069b7af00447f1c3423d52 1 0.1
1f195495cf36aa33288751ba5530a71a 1 0.1
20619d0f3d145de86cda8afb57f898e5 1 0.1
21214dae89c3cf28c5795115ce81ef0b 1 0.1
218ea81391a4b94c6becb65d1b38914f 1 0.1
219236f2f4034a95754f024158943c09 1 0.1
219d53b1811c73743fcd00e2d3b7cf54 1 0.1
21d4c008e042c1a527207ce60d62f2b5 1 0.1
21e043bb02a4687e91a7fa299e640665 1 0.1
2202083a169c302d0bc3759118700ea8 1 0.1
220aca794e0ba1dcf34610236d366a58 1 0.1
228fda7995414a471d7525caef4bb4fb 1 0.1
22f0dae7a927f22522d35010e9629bab 1 0.1
231348eb9c14cc4cd015c2e6cfa9b633 1 0.1
2365324358e3668e73fd8619375c8d96 1 0.1
23d3927c954be4d06f37e94e84c8af48 1 0.1
247361260130c4273e5583cc97b854ab 1 0.1
247c23f0beca593f9a8dc27feeb5a50b 1 0.1
24da7491ef1a4200945b8ac243f12917 1 0.1
2505f288c2544277e4f7e9d296025410 1 0.1
252bfafa587525469f9e6890ea77df09 1 0.1
2570f69ddfbf65630696d7f806f09d9b 1 0.1
25728c057689c5c9ccf7fa482f431f86 1 0.1
25b5452f00b890c1e61171ab0ee18858 1 0.1
25c6c25ef6bae5f4b2b6233f1afe5ea5 1 0.1
269681bdd71f5fb0f6265fabcdf8a799 1 0.1
26b95d5634bfb25f9d21ef150e5742c9 1 0.1
2704a88c052fa5ec8c53d8b027ccc02d 1 0.1
27855efde126d86459dc28bcc0ca7f82 1 0.1
279bd02d2c4f0c4c1d3b9cb92bb86963 1 0.1
279df6ffbeb50d88ec6343f59d164fb4 1 0.1
27e17ea63c015883b738a336ad4dedc4 1 0.1
28145b0890ca0c0652f777dbd8730abf 1 0.1
282395c7dd168ec6a6d38788521b5ad4 1 0.1
28fe34c5cf02e3bbbfcb7c4c3c7247a3 1 0.1
29411473d1650d7db2e6bdd689de76fe 1 0.1
2a4b88e466574b8506854fdc0b78c0f8 1 0.1
2a80ec2c3a14d062ccb9664b73894367 1 0.1
2ad1d4fa61ab2ec1b7467ed1c630c3d4 1 0.1
2ad6b524206999b1863fdffc4a6cba07 1 0.1
2ae8a0a1e538318cfd17e488f81de026 1 0.1
2aeb6e1a17e81f688dfc4d06d6f2d7bb 1 0.1
2af4eebb1570395374dae01b9104eddf 1 0.1
2af6d433d6c575771219572304331dba 1 0.1
2b01073a38674c2ab7179da25a7af8ef 1 0.1
2b0b0417f90f1b692e56bc0e5f232ee5 1 0.1
2b570dca1028604f0a673830c0cc12e8 1 0.1
2b6806d883e5141729aac34ccb4ca556 1 0.1
2b6cf3d23e7335cc6d0a1e17923c5468 1 0.1
2be69591b6523fb14eb0922ed78dd81e 1 0.1
2c1298304dbf5b049bb0a31565b78c18 1 0.1
2c1eff692498c58c3111b970c0149d7d 1 0.1
2c41fd852052a40319f83ef30d4b5053 1 0.1
2ca57216248d94842b4fcea65b59d9f9 1 0.1
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35f50cb051da08302734c59581fbee88 1 0.1
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387e52a431be87a6a94990e49f38e8c3 1 0.1
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f6a3d828db7865d8010b2152e5458541 1 0.1
f71b83c5168e74a79413e1056a83ca69 1 0.1
f74e9b46e32381d29edd5ac4dc68645e 1 0.1
f7756392f390899a3bd2101cad175ee7 1 0.1
f794a4c82da9d0fd0c9885948ffe09f6 1 0.1
f80cada92c3dcda4b8a09adcdb504c10 1 0.1
f81a6a7313b093428d480bdecdba2d23 1 0.1
f89c08b8f0fe6ac8572990c403789a6f 1 0.1
f8b71dc6c5690cdb8049801b3bb132ec 1 0.1
f949e550aefe6995a5bd4233444cdfc2 1 0.1
f988050b42b075a87b0ba9cb6e982ff9 1 0.1
fab79d80e05c8e912d4ca4542d3fe93b 1 0.1
faeb423befeec08c8eeaf636b9ab4b72 1 0.1
fb0d2ecd8a80a21ad2e1acb0671a08b7 1 0.1
fb47ef633665134c46d3f54f11660ea4 1 0.1
fb69378548994a9f62d1f9c7361d7181 1 0.1
fbc7aec5f15d1379fd8d102fe556d734 1 0.1
fbf9b58038fa8103a4ca94ec8ad43d2e 1 0.1
fbfca0ffabf871b0dd400250283bf4da 1 0.1
fc1ae91681dc176e037620627f54d612 1 0.1
fc2046aaa2312eed25769f9df44b6ee8 1 0.1
fc7c5566928b937a3d0a4e8e79682cd0 1 0.1
fc9051ea4eccaf74966d9eccc8ccf746 1 0.1
fc9e9ccf7a922a6ee09a24acfda1425e 1 0.1
fcc34efcb984635883ff4cf4d8f849f2 1 0.1
fd765e85128d3fafdd62097218c39431 1 0.1
fda17bd7b85aa4ccc71ca80b716637f0 1 0.1
fdd251ee376a0b8d234bf5db61a3bebd 1 0.1
fe2eb8a106193a4cc3152d7999dad381 1 0.1
fe305add55ce4318b986b38c9ee2c673 1 0.1
fe37cba7e18e8f0c73f5bf108a7deb76 1 0.1
fee919f83b59f4093291d7ed11eddc5a 1 0.1
fef71060c538ca5f0526a00327eafef0 1 0.1
ff131b711b46435e70b2ca99996a1488 1 0.1
ff38c1c2a38ec2d1868d44319bbe4ab4 1 0.1
ff4ad35f9de720e53bf597e88ee16465 1 0.1
ff6d3b5d7592dd722498421111e90524 1 0.1
ff86aa8882f3148e9d6c1d4cbb3809ab 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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