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study description | list of variables | data access
Details for variable okres
Name: okres
Variable label:
Okres
Literal question:
okres
| Label | Value | | Frequency* | %* | |
Banská Bystrica
|  |
16
| 1.6 | |
Bardejov
| |
11
| 1.1 | |
Bratislava I
| |
10
| 1 | |
Bratislava II
| |
27
| 2.69 | |
Bratislava III
| |
8
| 0.8 | |
Bratislava IV
| |
28
| 2.79 | |
Bratislava V
| |
34
| 3.39 | |
Brezno
| |
28
| 2.79 | |
Bytča
| |
7
| 0.7 | |
Dolný Kubín
| |
5
| 0.5 | |
Dunajská Streda
| |
42
| 4.19 | |
Galanta
| |
20
| 1.99 | |
Gelnica
| |
7
| 0.7 | |
Hlohovec
| |
1
| 0.1 | |
Humenné
| |
2
| 0.2 | |
Ilava
| |
1
| 0.1 | |
Kežmarok
| |
13
| 1.3 | |
Komárno
| |
12
| 1.2 | |
Košice - okolie
| |
34
| 3.39 | |
Košice I
| |
30
| 2.99 | |
Košice II
| |
28
| 2.79 | |
Košice III
| |
14
| 1.4 | |
Košice IV
| |
16
| 1.6 | |
Levice
| |
14
| 1.4 | |
Levoča
| |
7
| 0.7 | |
Lučenec
| |
1
| 0.1 | |
Malacky
| |
14
| 1.4 | |
Martin
| |
14
| 1.4 | |
Michalovce
| |
31
| 3.09 | |
Nitra
| |
21
| 2.09 | |
Nové Mesto nad Váhom
| |
21
| 2.09 | |
Nové Zámky
| |
14
| 1.4 | |
Námestovo
| |
23
| 2.29 | |
Pezinok
| |
21
| 2.09 | |
Piešťany
| |
8
| 0.8 | |
Poprad
| |
35
| 3.49 | |
Považská Bystrica
| |
1
| 0.1 | |
Prešov
| |
29
| 2.89 | |
Prievidza
| |
13
| 1.3 | |
Púchov
| |
14
| 1.4 | |
Revúca
| |
7
| 0.7 | |
Rimavská Sobota
| |
1
| 0.1 | |
Rožňava
| |
14
| 1.4 | |
Ružomberok
| |
14
| 1.4 | |
Sabinov
| |
4
| 0.4 | |
Senec
| |
33
| 3.29 | |
Senica
| |
7
| 0.7 | |
Skalica
| |
7
| 0.7 | |
Sobrance
| |
7
| 0.7 | |
Spišská Nová Ves
| |
14
| 1.4 | |
Stará Ľubovňa
| |
3
| 0.3 | |
Stropkov
| |
7
| 0.7 | |
Svidník
| |
7
| 0.7 | |
Topoľčany
| |
2
| 0.2 | |
Trebišov
| |
35
| 3.49 | |
Trenčín
| |
24
| 2.39 | |
Trnava
| |
29
| 2.89 | |
Veľký Krtíš
| |
14
| 1.4 | |
Vranov nad Topľou
| |
10
| 1 | |
Zvolen
| |
21
| 2.09 | |
Čadca
| |
27
| 2.69 | |
Šaľa
| |
21
| 2.09 | |
Žarnovica
| |
1
| 0.1 | |
Žiar nad Hronom
| |
3
| 0.3 | |
Žilina
| |
16
| 1.6 |
Summary statistics
Total Responses:
Valid:
1003
Min. / max. value:
0
/
Mean / standard deviation: /
*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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