From Australian Urban Research Infrastructure Network

VIC DET - VCAMS Indicators - 31.1a: Kindergarten Participation Rate (LGA) 2014-2015

Created 04/05/2025

Updated 04/05/2025

This dataset presents indicator 31.1a: Kindergarten participation rate. The data covers the years of 2014-2015 and is aggregated by Local Government Areas (LGA) from the 2016 Australian Statistical Geography Standard (ASGS). This dataset is part of the Victorian Department of Education and Training's Victorian Child and Adolescent Monitoring System (VCAMS) data release. This dataset is sourced from the Children's Services On Line (CHISOL). The VCAMS Framework comprises 150 indicators as agreed by the Children's Service Coordination Board. It incorporates 35 outcomes that relate to aspects of children's health, development, safety, learning and well-being in four categories - the child, families, community, and supports and services. For more information, please visit VCAMS Indicators. Please note:

AURIN has spatially enabled the original data.

Where data values were "NDP" (no data provided) in the original data they have been set to null.

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Additional Info

Field Value
Title VIC DET - VCAMS Indicators - 31.1a: Kindergarten Participation Rate (LGA) 2014-2015
Language English
Licence CC-BY-4.0
Landing Page https://devweb.dga.links.com.au/data/dataset/0905071f-7a87-4b0f-97f8-3ff3ac3dbb97
Remote Last Updated 06/03/2025
Contact Point
Government of Victoria - Department of Education and Training
test@email.loc
Reference Period 06/03/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[[140.96, -39.16], [149.98, -39.16], [149.98, -33.98], [140.96, -33.98], [140.96, -39.16]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on Australian Urban Research Infrastructure Network "VIC DET - VCAMS Indicators - 31.1a: Kindergarten Participation Rate (LGA) 2014-2015". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/vic-govt-det-lga-vcams-indicator-31-1a-2014-15-lga2016

No duplicate datasets found.