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Search the archive Look in the data catalogue or try the advanced search. Data Data catalogue Electronic database of parliamentary elections results in all Slovak municipalities from 1929 study description | list of variables | data access Details for variable okres30 Name: okres30 Variable label: názov okresu, 1930 Label Value   Frequency* %* Banská Bystrica 60 1.66 Banská Štiavnica 20 0.55 Bardejov 72 1.99 Bratislava - mesto 14 0.39 Bratislava - vonkov 25 0.69 Brezno n. Hronom 34 0.94 Bánovce n. Bebravou 71 1.96 Dolný Kubín 36 1 Dunajská Streda 71 1.96 Feledince 59 1.63 Galanta 51 1.41 Gelnica 24 0.66 Giraltovce 61 1.69 Hlohovec 43 1.19 Humenné 47 1.3 Ilava 31 0.86 Kežmarok 31 0.86 Kežmarok (+ ďalšie okresy) 1 0.03 Komárno 28 0.77 Košice - mesto 3 0.08 Košice - vonkov 119 3.29 Kremnica 32 0.88 Krupina 75 2.07 Kráľovský Chlumec 46 1.27 Kysucké Nové Mesto 28 0.77 Levice 48 1.33 Levoča 44 1.22 Liptovský Sv. Mikuláš 77 2.13 Lučenec 84 2.32 Malacky 32 0.88 Medzilaborce 49 1.36 Michalovce 57 1.58 Modra 26 0.72 Modrý Kameň 72 1.99 Moldava n. Bodvou 41 1.13 Myjava 19 0.53 Nitra 63 1.74 Nová Baňa 33 0.91 Nové Mesto n. Váhom 35 0.97 Nové Zámky 23 0.64 Námestovo 26 0.72 Parkan 32 0.88 Piešťany 34 0.94 Poprad 28 0.77 Považská Bystrica 41 1.13 Prešov 89 2.46 Prievidza 71 1.96 Púchov 45 1.24 Revúca 38 1.05 Rimavská Sobota 64 1.77 Rožňava 53 1.47 Ružomberok 26 0.72 Sabinov 74 2.05 Senica 28 0.77 Skalica 25 0.69 Snina 50 1.38 Sobrance 51 1.41 Spišská Nová Ves 36 1 Spišská Stará Ves 20 0.55 Stará Ďala 29 0.8 Stará Ľubovňa 30 0.83 Stropkov 102 2.82 Topoľčany 77 2.13 Tornaľa 44 1.22 Trebišov 57 1.58 Trenčín 55 1.52 Trnava 55 1.52 Trstená 22 0.61 Turčiansky Sv. Martin 91 2.52 Užhorod 6 0.17 Veľká Bytča 28 0.77 Veľké Kapušany 32 0.88 Vranov n. Topľou 49 1.36 Vráble 41 1.13 Zlaté Moravce 46 1.27 Zvolen 42 1.16 Čadca 16 0.44 Šamorín 58 1.6 Šaľa 19 0.53 Želiezovce 39 1.08 Žilina 62 1.71 Summary statistics Total Responses: Valid: 3616 Min. / max. value: 0 / Mean / standard deviation: / [ 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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