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Data
Data catalogue

How Are You, Slovakia?, September 2020
study description | list of variables | data access

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
0028687edd60be4c86fb2cdf5c07de0f 1 0.1
00aa8c922788309dadd3e9afa46e8d02 1 0.1
00c7e6f901eba05e1da9bfb7e67c1009 1 0.1
012fac0aeca1e3955831ea20b7d9e664 1 0.1
014bed76ffd4cb2c4e1246a7c13124de 1 0.1
01793b84436b356ad592a81632ea6c3e 1 0.1
01a9c0313a9b71c303c2b1e9cac1fe52 1 0.1
0224de507116c07aad6e9c376b46bcb1 1 0.1
0252d6464ebcd5608eb3d249c1a6f2c8 1 0.1
030f88336fbb774024791180e523e8b9 1 0.1
03bb6a492c1ac3c7c27f4020db7dbe99 1 0.1
03bbc54e5963b0ca489b0a637cfc1dab 1 0.1
046ce66b1494859433049b42b9f65cf5 1 0.1
0475adcdf050e757fc24f9d2718d10bc 1 0.1
0490f3af9bfb22d6667b902cadf7663d 1 0.1
04b7d1cb5a8f8ac8fd8fdb53f0b28a19 1 0.1
04c7e37286331e2ae7ccfe364ce634d3 1 0.1
04e145a5a384a7b4f493395939521dbd 1 0.1
05affb3c7981e888778d796dae56d30c 1 0.1
05c58bfdc3b40e868763dfa26eea3c1d 1 0.1
05c8b8c038bd6f3ab25c1c37a2eab826 1 0.1
06303eac52a401f7b4958d229f14896f 1 0.1
063a789d315b54fc84e5055fc078f9c7 1 0.1
0649694795b57155995fdfa5e90643ce 1 0.1
067f4427e93d2a3f835bafb699af3ffb 1 0.1
06c5a3d618ee93227db7224dc04bb55b 1 0.1
06de54af58ab4013d40e62a99d3559b4 1 0.1
072340dc6a915c22658a49ee47ba218e 1 0.1
0743795652ca54611e69e75677c7c2e0 1 0.1
0789d6a2cd71a8536d5f46612b24b73c 1 0.1
085707d5c06a9ef1b17eb6c30bf00fd7 1 0.1
08f5d4c8801f165f14a49f8be494e568 1 0.1
090030a42c82141976a527e19ae8bc8f 1 0.1
09878c908e9bc6bfb20db182c7e8afc6 1 0.1
098ca452d674a1b9be2d98c943338aa6 1 0.1
0a209c5667ed5d798a07ef6ffc0af657 1 0.1
0a43d5605e8be5eebfd0eabde56bff6b 1 0.1
0a4e21685ef31f628d0fcb6e84b3f538 1 0.1
0a62b23c4594a5847b19d0e84e20048b 1 0.1
0a8c3e9009a376f030cce158a77c07b2 1 0.1
0b01059d5bd56b0e8c83954ab5962de3 1 0.1
0b9a3b9b3dc89781fc9d1ef3f7495333 1 0.1
0bd1eacb0d642aadb76422f414814a48 1 0.1
0bdd571021ac2e763a45696f0ecca984 1 0.1
0be5f8413038783a4271a50d670c11e4 1 0.1
0c25579ff128f865a7bee2d28a879eda 1 0.1
0c275607794fa0718a51b8f5c6de5c22 1 0.1
0c30863b641190d25fe5ff94d037f01b 1 0.1
0c3ded374a79efed5397281fd3e10260 1 0.1
0c761895d8604cf5ae44a61b8239d42b 1 0.1
0c8644bf475970c9a481d0228db52d95 1 0.1
0d5b3e7c1873dfaabd2e3587e2261e95 1 0.1
0d5ecd8b6862d4e8c9cfd308093067fd 1 0.1
0df1bad340edee6d2661c5a9e5e4c64b 1 0.1
0df4bdff6f012fb512160fab76e678a3 1 0.1
0e34c940363a1d180b5af6fa6fc139f2 1 0.1
0ef43807e768947cddf3d7984d403887 1 0.1
0efad585cd97f7bb3228b3664a42248b 1 0.1
0f36b68215b219fbd935676181962781 1 0.1
0f6752ecfee88eb46ca50d2eda1d218b 1 0.1
0f73bfde5a3df0b9d417eb363bc9d9fa 1 0.1
0f9803ba08404c3bfe0b11001b71da0f 1 0.1
0fef5da054d0988379b0fcb1a3f57a90 1 0.1
0ff3dc5684eb0256f38f711a706662dc 1 0.1
100e498adb4451f4d1c1f1a26cab18bc 1 0.1
101eab7c079c534a53fca169ab993dac 1 0.1
10678b08b5cbbe1ab5393e7ba1a844e1 1 0.1
107ddd3020d8476b40e6bd921e095822 1 0.1
114970bdc03f2c5cdea210176d9e2f18 1 0.1
11b2ccec35a4ea7eccfef781765a936c 1 0.1
1242b8a3c582505e134d86e774ad42b6 1 0.1
12628067a658d3c7a91f703d4bd4750f 1 0.1
1263954ce17fad5e2017d49b7cece013 1 0.1
133a453d21494b97a198b58a8e404a4e 1 0.1
13431a66f3a7d891f0e4d71e7e81d4f4 1 0.1
1358d6baf487ce8b97be722d42390474 1 0.1
1362c0cbdb6077934cfa01a54bb48e8d 1 0.1
1378aae6839dfec6181ac6977ed1fa76 1 0.1
13c028da0a2fbb9a04b8159996cb41d1 1 0.1
13df3ab3c661b57e7748f56a517bfd4e 1 0.1
1459f1a89e99ce011c3096ed6d31ca2d 1 0.1
14a6cfa81b5a53ad001468fc451fe83c 1 0.1
14c7a2239037cb42e8412106652f8d4c 1 0.1
14ddf2bd2f167337c2edb1e5f816a156 1 0.1
15c0d312b91427c69f19884ea587b1a6 1 0.1
15c89c6328927fffc0e20735f8144a76 1 0.1
16146cf2065c8bf9a6e1c59c1f1684b8 1 0.1
16685c8b8be8e6c1815a4e58a385042f 1 0.1
16f18c23bb984511f7773b15a3e4481f 1 0.1
173f4ae4c1f4e7ac32ecd64e1b2059b7 1 0.1
174f6568ce61186a5e2a7291fd6845c7 1 0.1
17597510aa1c8fb08c4102ca185bd734 1 0.1
17c9139370bffc838d789335b1b03907 1 0.1
185baa2edd6dad599a266e85a6e2b08c 1 0.1
186d108c75f3445ebf4179a81bf9b45f 1 0.1
187922ea9f21dace5ec5ad61bfd93628 1 0.1
189f98238ce051df5dea5b064cf94142 1 0.1
18f24db1da5f29f79b08046366b58a51 1 0.1
1a22117792ecef223a47b16a256ed2af 1 0.1
1a6424eb4e82d0f2560a380f631d59cf 1 0.1
1a8022a170114c1915d6514405a8efac 1 0.1
1b7cf7d8c53e8d65d3fd81ef56e15ffe 1 0.1
1befb05c3443dea055748e74b7c564f5 1 0.1
1c77f2bb381fab5f153a92191e4baa4d 1 0.1
1cc5ed9e7f1521e5388ff53973ce3d6c 1 0.1
1d294cdb824b48a67ea6c2f7b5055ac8 1 0.1
1d67d1c1a81b10d5a651aa2b5e7ee466 1 0.1
1de50de2b3bbcee695aedd26979e0d30 1 0.1
1e7cf55eb96e6568abc024420a28d390 1 0.1
1ec0928bd7a93588d589009c8d09950d 1 0.1
1f079ac7c2908ced103390af9d5c891b 1 0.1
1f08e95c0b36483282d92da2a46f1ee3 1 0.1
1f1e664951aa67c247ebbc44c308c5b7 1 0.1
20749608428cea0e673f950ecfb88d76 1 0.1
20d224aff5b710697dfd15f39ee717c4 1 0.1
21019ce345727781451d29b12d1b31f7 1 0.1
21f2bde981d7d02253af978acf01b8bc 1 0.1
221f078edfe2bf78044be28edd528479 1 0.1
225aa2e5530dacc98d983052dc7e79de 1 0.1
2262e970e65f9cd8aa8efbb9e29c582e 1 0.1
2297a45470ed63321debd8bffb11226c 1 0.1
2314601e7ed5b66a2de08d59d58e8aa7 1 0.1
232b9c197916bedf716ed476605898cb 1 0.1
2335bf98fec5bcd06134515f1b974e7b 1 0.1
2361db6ef13d05827102b06cfb28f2ae 1 0.1
2366feff3f69d5e7a595efc9891a55e9 1 0.1
24138d16499bd73a128dabea2960b656 1 0.1
2432fef56f5f29655a1d244da02eea50 1 0.1
24550beabc2bb39c9e8d4e9f8afc9aa4 1 0.1
246b6975bf6d06a4786b04952170de6e 1 0.1
24940b668cbfb9c43f458461cd4c03cb 1 0.1
252a4c391b8b2391461ed5abe9b65da4 1 0.1
257549958bc8194e7542596c0f73b48b 1 0.1
2579b894dba06c4c0520a15750356dab 1 0.1
25d639c637f6ccd0886bfe890c16ec13 1 0.1
25d837149cb77299abde4a124cbd4e61 1 0.1
26dde0fc97b23c5f0aae7e6ed6a02bae 1 0.1
2732dc63c77a0722086bb1dfe63cb55b 1 0.1
27484d2664f04913a8041457bd9906c5 1 0.1
2760726f43a450d345ca5a293ae40836 1 0.1
27a3d5ef4a5c16fd0489b0472ae4702f 1 0.1
282d976f22d9ab94b51b8aa261b92594 1 0.1
2848fbb3c65671902f52fd8972172b18 1 0.1
284c9f03d6f9a144232c0784dbd5e8c8 1 0.1
289aa65c5c785109572a1c9ff158765c 1 0.1
28db79cee99c7834a6e698550337068f 1 0.1
28efa9861167b3ec9008f509182f1bf0 1 0.1
2922f76ff95ae76022dc2bf0a047b27b 1 0.1
29472e1fab9ac0ba0f0ded4e19c77556 1 0.1
298f52fb9bece2cf616f188794ed6091 1 0.1
29f07686cc04ec732c7040248228c2ed 1 0.1
2a11ccc4c31ff61414489f7a9ba45700 1 0.1
2a5b39bbe7e19743e053f235aa9908c9 1 0.1
2a62c3639d964d2aef4e98edbf838de3 1 0.1
2a69c761b0912131fe3499aecb39ee1c 1 0.1
2ac53f76998f9469359fed3142941334 1 0.1
2af336182509640b918b71ef63b177bc 1 0.1
2b5511b6897a7637e34ae83d29454e08 1 0.1
2b63a0f87d197bff167b3df5afe71f89 1 0.1
2b9d0d6a8c15740d378b22ecf5b9c948 1 0.1
2bc97a9f3475ea53cb2d3253c03b1f5e 1 0.1
2bdcc00f4772b4f2f6d76c24c19d2269 1 0.1
2c318908a6f9b0e4ebeb40271bae6cd9 1 0.1
2c35cb64e59b5c6dde0f99a653402fb8 1 0.1
2c5ab12a02740d59b68ebb9a4c42a55a 1 0.1
2d5c7be7ac9fa608b374661be001ca07 1 0.1
2d71723a497df11f736edbee2817e1b6 1 0.1
2d7399c961711438348ca39e0b63a01a 1 0.1
2d782e47c5ebb5c9b22db104c2773e32 1 0.1
2da8eb6ed8f5088a81f99b9604c4ef6e 1 0.1
2dbbe8f377d29398eff80a4212f226a9 1 0.1
2dead889ec3b3866f8fc74e85461dd39 1 0.1
2df3d045ca6643611fbcbc1f4b7c6fe7 1 0.1
2e2129fa9ffaa6d00c715a7efab97988 1 0.1
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2e670f33506c710f18fe2a33586dd8fa 1 0.1
2ea09db8f1545b4494b7893fe554a2ef 1 0.1
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30122da44208e8b593b7dee9d4062d1d 1 0.1
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311bebaf74dc84ccbe72df70097f909c 1 0.1
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335193773ddf0bbabeb6cd3f34d9e8a8 1 0.1
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36c773218a0cc4c34b1f5cdef0be8f3b 1 0.1
36f0bce58f8232f75247da518fc75213 1 0.1
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375b5b6065c7767bb63e33d3e7616ec9 1 0.1
37d4d096b605c88bc1b53d8a1c763928 1 0.1
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3a044606fe2edf417d26751b3d307ed5 1 0.1
3a19608a15d7b89998cca41f7cb59ece 1 0.1
3a30a8e32290eecd6637b76de22cabca 1 0.1
3a42e9b64886508fc268f4e9ca1c78d9 1 0.1
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f6349fecf2b73ed046c04d4f6facb4a9 1 0.1
f660894d5b14131ea4e6614aa0964aa4 1 0.1
f67b2e876573d400c3a8abd9e3641716 1 0.1
f748e568b9ffee4aa7e682eab6823e4c 1 0.1
f75c47b879e488fd0e34831489fb8aba 1 0.1
f7ac737d87abcd6e8e4f9bfa8df4cdad 1 0.1
f7e3698b97c86005720339d8ef3734b8 1 0.1
f82384bf7f6479d876c0f852d60ea888 1 0.1
f837ac861d825df948d2dbc0bdb3a876 1 0.1
f84fafd991001ba14d005173bf00225a 1 0.1
f8a427ea98bf2af67d6de162e779dcda 1 0.1
f8b6bae95c5b538d918ca91a03f2aaba 1 0.1
f8da6a24b3b2cfaa9499f42570104741 1 0.1
f8fba132287e0ea5a00728d5738d2782 1 0.1
f921c0357dbc5f4652a9ae371f6559d0 1 0.1
f9c875bb6177e5a7d6f3e2526b9fe002 1 0.1
f9ca2fd87bd8d89429b977788ea0466b 1 0.1
f9d153e8c1b9ab6b1e07f12523d99c43 1 0.1
f9d6481311e1f667206a84e1229247f8 1 0.1
f9ec90001804a1a3511b938789a6af39 1 0.1
fa30cbbefa24fd730bbcaf519cf0d92d 1 0.1
fa33b3a614fc3833540d38655cb01096 1 0.1
fa5cee9bbfbb15ac51277347c0abb08b 1 0.1
fa7d940460290a5f3d57c6d50c3c3f20 1 0.1
fac050fc0f4e6f327d1de786789cb2d2 1 0.1
faecc49d3eac04d5e7606fd29a6642e1 1 0.1
fb54c63b486d01f415c1ddbf4df616da 1 0.1
fb75836d764e910f8605e5dae1f6c1bd 1 0.1
fbc303162974e971a99e6cf30c23c936 1 0.1
fbd3b9231ac4f365178ddcbdd4c24994 1 0.1
fc4dbd008f52327d1ea8b6c4ebe4393f 1 0.1
fc7756e3d421d597243f58fc159013ea 1 0.1
fd4daec237758a4743571b4ec27d9d5d 1 0.1
fd7fe3d20f40e61f04432996d0bbc9ec 1 0.1
fd850f7689099bc211dfc8d0034a3205 1 0.1
fe4bdcc2e6b37836c479b617c0230c8d 1 0.1
ff5983c2f09b4598ff138e949213544f 1 0.1
ffc217ee0c3ce8711472c3aa801a6907 1 0.1
ffc8b44da87e1605f7adb50c03760c74 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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