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Search the archive Look in the data catalogue or try the advanced search. Data Data catalogue Society 2004 study description | list of variables | data access Details for variable OKRES Name: OKRES Variable label: District Literal question: District Label Value   Frequency* %* Bratislava 1 334 8.39 Malacky 6 40 1.01 Pezinok 7 35 0.88 Senec 8 45 1.13 Trnava 9 118 2.96 Dunajská Streda 10 95 2.39 Galanta 11 70 1.76 Hlohovec 12 30 0.75 Piešťany 13 50 1.26 Senica 14 35 0.88 Skalica 15 20 0.5 Trenčín 16 60 1.51 Bánovce nad Bebravou 17 20 0.5 Ilava 18 45 1.13 Myjava 19 40 1.01 Nové Mesto nad Váhom 20 70 1.76 Partizanske 21 45 1.13 Považská Bystrica 22 40 1.01 Prievidza 23 110 2.76 Púchov 24 33 0.83 Nitra 25 109 2.74 Komárno 26 63 1.58 Levice 27 80 2.01 Nové Zámky 28 123 3.09 Šaľa 29 55 1.38 Topoľčany 30 60 1.51 Zlaté Moravce 31 45 1.13 Žilina 32 113 2.84 Bytča 33 29 0.73 Čadca 34 55 1.38 Dolný Kubín 35 41 1.03 Kysucké Nové Mesto 36 20 0.5 Liptovský Mikuláš 37 45 1.13 Martin 38 75 1.88 Námestovo 39 30 0.75 Ružomberok 40 58 1.46 Turcianske Teplice 41 15 0.38 Tvrdošín 42 20 0.5 Banská Bystrica 43 80 2.01 Banská Štiavnica 44 15 0.38 Brezno 45 33 0.83 Detva 46 35 0.88 Krupina 47 30 0.75 Lučenec 48 50 1.26 Poltár 49 10 0.25 Revuca 50 35 0.88 Rimavská Sobota 51 54 1.36 Veľký Krtíš 52 30 0.75 Zvolen 53 64 1.61 Žarnovica 54 20 0.5 Žiar nad Hronom 55 40 1.01 Prešov 56 95 2.39 Bardejov 57 60 1.51 Humenne 58 50 1.26 Kežmarok 59 25 0.63 Levoča 60 40 1.01 Medzilaborce 61 25 0.63 Poprad 62 80 2.01 Sabinov 63 20 0.5 Snina 64 33 0.83 Stará Ľubovn 65 35 0.88 Stropkov 66 10 0.25 Svidník 67 25 0.63 Vranov nad Topľou 68 55 1.38 Košice 69 180 4.52 Košice-okolie 73 80 2.01 Gelnica 74 20 0.5 Michalovce 75 85 2.14 Rožnava 76 40 1.01 Sobrance 77 20 0.5 Spišská Nová Ves 78 55 1.38 Trebišov 79 80 2.01 Summary statistics Total Responses: 3980 Valid: 3980 Min. / max. value: 1 / 79 Mean / standard deviation: 36.9977 / 23.4098 [ previous variable ] | [ next variable ] [ back ] *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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