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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 okres98 Name: okres98 Variable label: názov okresu, 1998 Label Value   Frequency* %* Banská Bystrica 63 1.75 Banská Štiavnica 18 0.5 Bardejov 90 2.5 Bratislava 9 0.25 Bratislava - mesto 1 0.03 Bratislava I 2 0.06 Bratislava II 6 0.17 Bratislava III 4 0.11 Bratislava IV 7 0.19 Bratislava V 5 0.14 Brezno 33 0.92 Bytča 19 0.53 Bánovce nad Bebravou 53 1.47 Detva 16 0.44 Dolný Kubín 35 0.97 Dunajská Streda 113 3.14 Galanta 47 1.31 Gelnica 21 0.58 Hlohovec 27 0.75 Humenné 65 1.81 Ilava 32 0.89 Kežmarok 48 1.33 Komárno 46 1.28 Košice - mesto 1 0.03 Košice - okolie 131 3.64 Košice I 7 0.19 Košice II 12 0.33 Košice III 3 0.08 Košice IV 8 0.22 Krupina 46 1.28 Kysucké Nové Mesto 16 0.44 Levice 124 3.45 Levoča 38 1.06 Liptovský Mikuláš 75 2.08 Lučenec 63 1.75 Malacky 27 0.75 Martin 52 1.45 Medzilaborce 31 0.86 Michalovce 91 2.53 Myjava 18 0.5 Nitra 79 2.2 Nové Mesto n. Váhom 42 1.17 Nové Zámky 69 1.92 Námestovo 26 0.72 Partizánske 30 0.83 Pezinok 22 0.61 Piešťany 34 0.94 Poltár 32 0.89 Poprad 37 1.03 Považská Bystrica 49 1.36 Prešov 109 3.03 Prievidza 74 2.06 Púchov 35 0.97 Revúca 53 1.47 Rimavská Sobota 127 3.53 Rožňava 66 1.83 Ružomberok 26 0.72 Sabinov 45 1.25 Senec 36 1 Senica 38 1.06 Skalica 24 0.67 Snina 41 1.14 Sobrance 49 1.36 Spišská Nová Ves 37 1.03 Stará Ľubovňa 47 1.31 Stropkov 52 1.45 Svidník 70 1.95 Topoľčany 62 1.72 Trebišov 93 2.58 Trenčín 67 1.86 Trnava 57 1.58 Turčianske Teplice 39 1.08 Tvrdošín 22 0.61 Veľký Krtíš 77 2.14 Vranov nad Topľou 74 2.06 Zlaté Moravce 42 1.17 Zvolen 34 0.94 Čadca 25 0.69 Šaľa 15 0.42 Žarnovica 23 0.64 Žiar nad Hronom 43 1.2 Žilina 73 2.03 Summary statistics Total Responses: Valid: 3598 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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