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Data
Data catalogue

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

Details for variable Recall_Code

Name: Recall_Code
Variable label: Recall_Code

LabelValue Frequency*%*
002015afe1eaf5417419f8f2c34fc491 1 0.1
00215d4a0c142cfd555808857c2abfa4 1 0.1
0031df9f4fcce1f5fd9ab5342c3a1b5e 1 0.1
0060a027628fcca02c64ae66e5e71adc 1 0.1
01012f42cc04ad56f5622575b0f33b90 1 0.1
010487344b6d75765d457665bee8ec96 1 0.1
01774f85dd154e9b39e05700b938b3cf 1 0.1
01bcde01775c2b735955308639ef8721 1 0.1
0254ad863d8bd763722caeb1f055cb6b 1 0.1
02563c390ccbafe0fd9e39b532287127 1 0.1
02c06d522c70e2f4c8b523f041800f4a 1 0.1
02f9da6b35fb009b983e84d62306071b 1 0.1
03028bf7ce54437ecae2b751b9c9a1b5 1 0.1
03228663d7381736d4980846940910bd 1 0.1
034b75dc1b6d5823f53c1f4429c7bb78 1 0.1
035141a6c47ecd6e3322448508b677b1 1 0.1
03a1fa79f1c9620f178dde339dca407b 1 0.1
03fe634c8bee70ac5603f9d1f042fa0a 1 0.1
0460db7d51291fa5e6f9f588d7c6e669 1 0.1
053c2faaf92e0c45e11fe62840f8a7f8 1 0.1
053c3b0e3c01cbd369f1ba5711a5b1d3 1 0.1
05615e604599845837df24c53e3f0cab 1 0.1
0573ed3ea90eb312d79b42f7a0d94e00 1 0.1
05dd942ea931530b302034847e167c3a 1 0.1
0652f87d9314205f9f35b33423a5b146 1 0.1
06c1552338547e152857d4d6e316283f 1 0.1
074aba5e9bd5e4d25c60f535e907bf73 1 0.1
077b4e6048cbf242a4bb6230c7ea1991 1 0.1
07c40c4a4f44ab307d02d84b6c059b82 1 0.1
07ef2d431559178e2b33e66592e88e8b 1 0.1
07fe7a9784553cdaee9d334e45cf02a1 1 0.1
08af5f3606fda3de8e55779d37200587 1 0.1
08d98bd38f014f9803b60cbebf012773 1 0.1
0940b1d1e23e66668c614417e54d14ac 1 0.1
0962414af1df75b4ee38271c51370ed4 1 0.1
0967b2169dd60550f3ede72fbe84ef55 1 0.1
09881c191aa7ef7abfb430ff95c01cd3 1 0.1
09b0fc0b2bb59912a7c312fbc329b7b9 1 0.1
0a12fbbefce25177e27a1d44853fd4dd 1 0.1
0a2eb05569465ae0f45f8134780ec779 1 0.1
0a5d935096ac491b60832b04cb9b011d 1 0.1
0a696a8d91cbdd744284d43732566e73 1 0.1
0adbd4ecfdd7344c9689ec1749115afe 1 0.1
0b05dd54bf7e1b8d65429b63630246e4 1 0.1
0b0d1b9630e8d3d5721f53780b68cb26 1 0.1
0bded025ae272502ec12df725aa96a7f 1 0.1
0c07ae8c1686cf624403db06c024f91c 1 0.1
0c535f78af32572d94c319923fe654df 1 0.1
0c64a5ef2153cb5be7766a7a64cf87aa 1 0.1
0cb890dd3289ddb2c080e488d3a9763f 1 0.1
0d5fca2a9a026417d3dae75da032f36e 1 0.1
0d93eecb61c51210e0e37ed9b5d05628 1 0.1
0db16f4655e2ff29ea4077cca7f69e99 1 0.1
0e17e48d592356a0566ff8c3ae71ae0b 1 0.1
0e2d48963fdf74c1a1c81e21b3ad36ce 1 0.1
0e3fe23ac8e52cc71f6189db3ac84616 1 0.1
0e4f0493c3745bafbf7f1eed5043219c 1 0.1
0e6bf09253f4d043e108e059ad836c7e 1 0.1
0e819a26ab22080661988a301a698438 1 0.1
0ea0055797da041996bf318406f3e77a 1 0.1
0ebbb972827ee5c4918e048eed5e942f 1 0.1
0f0a78f316dd079146e982c1c0a157fe 1 0.1
0f4953630a8bdf30f6760083a2fc8741 1 0.1
0f6748d7393e651f85800121b2b1fb90 1 0.1
0f749c792f8e2880f5e45957bae9e4fb 1 0.1
1071e8bd2f3b7ca059d1e651b5147dc8 1 0.1
1095b79ad0872e1fce9ecc7fc178fd9a 1 0.1
10ad7a20cf9186914dd8a43d1b880312 1 0.1
111e3a73e80e6b8e088bccadfc512516 1 0.1
1277e0d3fcae67efd630f622c5e5a0d2 1 0.1
128419f6aab9492ecef0a5f758e8e5da 1 0.1
12a137b93ad012916e8ec22575477a5d 1 0.1
12a7f553f745ec68dfcc738062d8c5f7 1 0.1
13666b2def7178ae0d4f0c5bda043f8c 1 0.1
1388109f596b8c867d1d8b57dbead20e 1 0.1
143f64018003e5e5ae4c72123ab956db 1 0.1
14467753e1fc2a100bc2becc5f5b3f8e 1 0.1
1483e9b3f77af79b6e88e94f6e2bd0e9 1 0.1
148ebbe3c7eff37ef2c3d4281ac1b23e 1 0.1
14c91e9732b6a15d8dd471f253815912 1 0.1
15436c7880fcaf60cc208dc4a442f74a 1 0.1
15586fdcdd3458b9e2d68c5903c728e1 1 0.1
15d0f1f45632d011e9911b46ea039b5e 1 0.1
15e8883df848bfd7b7319eb8e8690f39 1 0.1
160bf14fbeb8cfafc488cb90f041dec3 1 0.1
163ab9d1dc4dd87e29aa5a5378566091 1 0.1
167ca28b162a3b99669b7371c9ae81c6 1 0.1
16c2ca9a1a1a52748737a952338544a5 1 0.1
17088ab06e1248c4b6ec9013f5ef244f 1 0.1
17160ee65817f02a538a70e5e1febf05 1 0.1
17bd2b2c9ebb53f48b3fb3e29032b43c 1 0.1
180b102d1285e026f19ad8bab8283f0a 1 0.1
1834d908ee8aac3f9fb78eba0e486028 1 0.1
189a5f733a16ecfa0b336ee1f73599f2 1 0.1
18f1e65d4b29aa38f0df08789b71d159 1 0.1
1a2245e91bde7dd69e85d2f3b4274e07 1 0.1
1a550002ac38bf37ef4af21f4af4c665 1 0.1
1a6bf72dd7190b2b6967300500bcb4d0 1 0.1
1a8c9808c2781de3b41bc4a80e25d202 1 0.1
1ae21a691677ea8204f3fb7ed8f529e9 1 0.1
1ae30a489af3ea9a420c4fbd7d056e27 1 0.1
1b0c09566c22a89d4696372395a51478 1 0.1
1b105c0ed40ea5e5d2abbb7c108c09b3 1 0.1
1b4484e7dccf1d5dc0a055b104a5f9f8 1 0.1
1bb8a63df120d97bafdbefebb9c03968 1 0.1
1c170c211a75f0ebf57943e47c8c0041 1 0.1
1c854bcabb7101120665d30e96f86a28 1 0.1
1cb7ebbdcc91f13ed0e3cb5d2c7ace87 1 0.1
1d28991c7fd6f4eb68a6f8b5ff97f622 1 0.1
1da8253b9a3d68822a605aef70d07c35 1 0.1
1dcace5cadc876dac18b9d8c735bb91f 1 0.1
1df8023f9c721552cc0bf46bbe2fcd34 1 0.1
1e210624f11361e810a56f1ee0a031d7 1 0.1
1e72b937ba33551e879117989470c42f 1 0.1
1e99da67bc12faf38d718b42cbefdde7 1 0.1
1ea6ae1232eb33fc3634acae0caf6b3d 1 0.1
1ea9618bf86de623506fe48a11d11be6 1 0.1
1ebc880de118e07547487bcf5534afea 1 0.1
1ef23b687364602f28d5c689dd17bb90 1 0.1
1ef9b44e8ac4a5d1409a38fd2d768c52 1 0.1
1efcc87f71c466f7ef4affeb24da1f89 1 0.1
1f2813d75f99e8bce2f313c634ebf01a 1 0.1
1f2a1df25aa57fabb404641f1b357a57 1 0.1
1f72a9dff0a0c98f3aadbdc9d3d96e1a 1 0.1
1ffebb40b12543e45a2e902122362677 1 0.1
203129c0ae6658fd07b4818a5d4dbdfd 1 0.1
205847b4b6d38b2d716ff834f7714198 1 0.1
20890b889fd9153affba0bfd05b8e58a 1 0.1
2098484db71986a0606ed860f7637c43 1 0.1
20ff3b697b46d3b81f42f8915af76615 1 0.1
2142730cd934b4dcf97b0da66283034d 1 0.1
21660063758f327b7204138d54c9f5bf 1 0.1
21b44d31a2780d80af00a4fc82958cda 1 0.1
21ec78daf3d399cd33e23d948dff271c 1 0.1
22294664c5e2185fe8551d9152af2fa4 1 0.1
22637addc07f2ee803d136748285e015 1 0.1
226b4dc9e3c18433ef3a27d9e86fcca2 1 0.1
227fdf902cd56ee18bb285d07389020d 1 0.1
22806e134875db3120b43779ecdda078 1 0.1
22a3d6211bff3fbfbb65dc0e65002998 1 0.1
22c6058259ae67e77b43f491c264701a 1 0.1
22dec2c0c3704d1fbd6c0ca02bac6a12 1 0.1
2318656dd2c474305357159104ccac7f 1 0.1
242e872ca332483f6561adfa2139da5b 1 0.1
2455adc96db0c6cb45ec175e2ee45ce5 1 0.1
246dfed01533a0502af79755cd3d9315 1 0.1
24b010b73391615abf5ff5e9dba45f42 1 0.1
24f1fa049c69831df6c0de655ad8c37f 1 0.1
24f7ef2931bc00af80d04c9993c3838e 1 0.1
256d767a17b14d333557b5b265d5b30b 1 0.1
2578d5041d4c354e76f7f18fb05148d9 1 0.1
2630b6fb85a3c5fa17e64488e9dc413b 1 0.1
2660ac699c770040480708fc4995143c 1 0.1
26c9d6c24630520623c09f993c0475bb 1 0.1
26cb6ad380f4262c791f4b7845c1b1e1 1 0.1
26fec3bd438b0b9660a9b90d6b628fe7 1 0.1
270132bc465a31626c8ac99c4a38db3c 1 0.1
27bc7fe21c4429fcfe3066ff08deafec 1 0.1
27bfb9f471f872f1a2b14c50688f215c 1 0.1
27edd8c58abb32d5b20177083179b4bd 1 0.1
2831d962bdcc8b7b675122fd59429aa9 1 0.1
286887e85b9aa2fe9f98de06f288c8cc 1 0.1
296c0b392d79540eaf7a8e31fa13150c 1 0.1
2985301926075df764dc6d186df3e77a 1 0.1
2a1a4240b7f45bb02b0c4d00ba3036b0 1 0.1
2a20b3e008c67f4f82f94b898494264d 1 0.1
2a5ada9fbaa854acee61b6786e51a64f 1 0.1
2b42d699a400240e2ee89f4445c5d35e 1 0.1
2ba2984e29b81187af1de312fc468d5c 1 0.1
2baccc67fe036fcb5af543e7e1d5b93c 1 0.1
2be5dbd4acbeaaebd81ecad3331b8721 1 0.1
2c41d3b70764650d95af1582aa3d6744 1 0.1
2c769b20988b08acbd953f93b4d67eba 1 0.1
2cc45c190a281ee6fa23c8f0ba950970 1 0.1
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3305ae25f25a04f7a9c9e2f8891d072a 1 0.1
331ef3211532a17ccd65ca459f1df372 1 0.1
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357cbc2d2dbc590aa2c0b414b6cf71e7 1 0.1
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f442f9bab2aca0b695f708c8b58ea645 1 0.1
f48e018c5da7a62feb5db36603c01565 1 0.1
f4bd632080150e4a757db6a99daa72c4 1 0.1
f4bdf17a17b3a5c71f141454166522d4 1 0.1
f4e38ee95ec5f2dfbf069802077312ef 1 0.1
f4effc692e86c9c34811478718dd89ec 1 0.1
f5ab62a62e7d6305b94f5390e27f2558 1 0.1
f5b1eb6bc03d08b83715eaea85fa8224 1 0.1
f630f69e1b189cc47a3687b8ded1bc0a 1 0.1
f683a08c1a3041228a9d8ca967e23a08 1 0.1
f76809bc8b0e7e59564b216d9d66733e 1 0.1
f7fec087f161c31b8626ec2d7e31fc8b 1 0.1
f81ff3790da4e323c8e88fc7f1ddb787 1 0.1
f842b166e2fc8aa22f15d1b00297eb92 1 0.1
f8793bda034a206143a2477eaafd699f 1 0.1
f889b643aefa35184ecc25e13a30480a 1 0.1
f91ecbfad71a2431249f93bb995806a4 1 0.1
f9383e9c93684a36575872d6b9197045 1 0.1
f953c4de61f3b09f0eef11986a10036b 1 0.1
f9e14ec89e75487f9dad1e32a4052832 1 0.1
f9ec87a6183fd7ef2a7950afd2a256c7 1 0.1
fb32e83672c2227f3aeba337d92e5936 1 0.1
fb5bd609395c23169f0d30883545a91e 1 0.1
fb86168f41c48bb86c6eefb833ffafe7 1 0.1
fb8883cbd4456e13b0f1cea47a0f7344 1 0.1
fb8db0d93e69945bc8d1cb393e428534 1 0.1
fba42a92b37289f838846c2750e93f65 1 0.1
fccb063509f65bbbd73b71ba04205114 1 0.1
fcd7d43dad5cb8e56fddf1280521a62b 1 0.1
fd41e147ae234529a8783b73999bab57 1 0.1
fd5d132c06c1d2fc0335e80789185323 1 0.1
fd6d2045a95b81f9822125f5aa7019b6 1 0.1
fd8ced508e85b8c9f1f06c51ccb20a0b 1 0.1
fd8f22171a1f018321e6becee1e4cafa 1 0.1
fddc8b3cef31976a77d6f4b2e9bc1094 1 0.1
fdeb61fe7e8c6828756ba9935bb62728 1 0.1
fe164bea931a813ffb69e8725621d308 1 0.1
fef2090aaec9a5dad8410327e12bbba2 1 0.1
fef5d447814664cc6494cd1d51cdd4c7 1 0.1
ff59e75e99880b9c11fe15608465ce0f 1 0.1
ff5bf4068c54e97fdc871d1a18e8261d 1 0.1
ff61f7ce830e7d474610a342e6b8ae37 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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