From Australian Urban Research Infrastructure Network
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VCGLR - Gaming Expenditure by Venue (Point) 2009 - 2010

Created 04/05/2025

Updated 04/05/2025

JSON RDF ISO19115-3 XML

Released bi-annually, this data set provides information relating to the total expenditure at each gaming venue for the 2009/10 financial year. It includes venue classification and the allocation of electronic gaming machines (EGMs) throughout Victoria. For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website. Please note:

AURIN has spatially enabled the original data through joining it with gaming venue locations from the VCGLR's interactive map of Victoria's gaming venues extracted on the 8th of March 2019. Therefore venues that have either changed their trading name or cease to exist as of the 8th of March 2019 will not be included in this dataset, despite being active in the year expenditure was recorded.

EGM Numbers: Average number of operating EGM's at the gaming venue during the month. This figure is consistent with the average entitlement applied to the EGM as per tax calculation.

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Additional Info

Field Value
Title VCGLR - Gaming Expenditure by Venue (Point) 2009 - 2010
Language English
Licence CC-BY-3.0-AU
Landing Page https://devweb.dga.links.com.au/data/dataset/d6c2fb88-8c5c-4115-80e2-01cc8121167b
Remote Last Updated 06/03/2025
Contact Point
Government of Victoria - Victorian Commission for Gambling and Liquor Regulation
test@email.loc
Reference Period 06/03/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[[141.6, -38.65], [148.46, -38.65], [148.46, -34.16], [141.6, -34.16], [141.6, -38.65]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on Australian Urban Research Infrastructure Network "VCGLR - Gaming Expenditure by Venue (Point) 2009 - 2010". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/vic-govt-vcglr-vcglr-egm-venue-expenditure-2009-2010-na

Original dataset
Dataset copies

No duplicate datasets found.