YouthView addresses the critical need to develop place-based and evidence-based tools that will provide better and more timely information to youth organisations, service providers and local policymakers, permitting schools and communities to understand better the challenges they face and respond to them.
YouthView provides an accurate and informative overview of youth disadvantage and employment at
different statistical levels within Australia.
The interactive tools present a range of visual charts that can be used to learn more about critical indicators of poverty, labour, NEET (Not in Education, Employment, or Training), jobs and unemployment in the youth population. Users can select and change parameters within the charts to better understand the complex dynamics of youth disadvantage and employment in Australia.
The users can interact with the visualisations by selecting and changing various parameters within the tool.
Youth poverty map
View and compare youth and overall poverty in different parts of Australia.
Youth poverty and remoteness
See how youth poverty rates differ in remote, urban and greater city areas.
Youth poverty and job vacancies
See how job vacancies affect youth poverty.
Youth Not in Education, Employment or Training (NEET)
Explore how youth education, employment and training statistics differ across regions.
Youth unemployment and job vacancies
View how job vacancies impact youth unemployment.
Job titles and vacancies
Explore vacancies within different types of work.
Analyse an SA4 region
Analyse an SA4 region in details with various statistics.
The dashboard incorporates community-level indicators of youth disadvantage, which requires comprehensive data due to the narrow geographic focus on young adults. National-level survey data lacks the granularity to analyze small regions and specific age groups effectively. To address this, the analysis relies on rich Australian Census data from 2016 and 2021, offering insights into educational attainment, employment, income, housing, and more. However, the Census provides only a snapshot, not the persistence of circumstances over time. To overcome this limitation, the census data is linked via the Multi-Agency Data Integration Project (MADIP) to other sources such as tax records and education data. This linkage helps track individuals' income trajectories and education re-engagement. The goal is to understand the dynamics of Not in Education, Employment, or Training (NEET) status and its variations. Since not all data sources can be linked individually, regional-level data mapping is used, focusing on SA2 regions. The ongoing integration of school-level data is also a part of this effort.
This feature was funded by the Lord Mayor Charitable Foundation and Paul Ramsay Foundation. Any opinions, findings, or conclusions expressed in these reports are those of the author(s) and do not necessarily reflect the views of the Institute, or its funders.
Principal investigator: Professor A. Abigail Payne
Data design and development: Dr Steeve Marchand
Analysis leads: Dr Steeve Marchand and Dr Ujjwal KC
Data visualisation design and development: Dr Ujjwal KC
Research support: Shirin Tejani and Shrey Varshney
KC, U., Marchand, S., Payne, A.A., Tejani, S. and Varshney, S. (2023) Youth View Dashboard, Melbourne Institute: Applied Economic & Social Research, The University of Melbourne. Data visualisation. https://youthview.melbourneinstitute.unimelb.edu.au/
Average vacancies observed are the annual estimates are computed from the average
monthly vacancies within a year. (Source: IVI data)
Greater Capital City Statistical Areas (GCCSA) are geographical areas built from Statistical Areas Level 4 (SA4) and are designed to represent the functional extent of each of the eight State and Territory capital cities.
Not in employment, education or Training (NEET) is defined as being employed and/or studying or training as of Census day. (Source: Census data)
Significant Urban Areas (SUAs) represent Urban Centres, or groups of Urban Centres, that contain population of 10,000 persons or more. They are based on Urban Centres and Localities (UCLs) and built from Statistical Areas Level 2 (SA2).
Statistical Areas Level 2 (SA2) are medium-sized general purpose areas built up from whole Statistical Areas Level 1. Their purpose is to represent a community that interacts together socially and economically.
Statistical Areas Level 3 (SA3) are geographical areas built from whole Statistical Areas Level 2 (SA2). They have been designed for the output of regional data, including 2016 Census data. SA3s create a standard framework for the analysis of ABS data at the regional level through clustering groups of SA2s that have similar regional characteristics. Whole SA3s aggregate to form Statistical Areas Level 4 (SA4).
Statistical Areas Level 4 (SA4) are geographical areas built from whole Statistical Areas Level 3 (SA3s). The SA4 regions are the largest sub-State regions in the Main Structure of the Australian Statistical Geography Standard (ASGS), and have been designed for the output of a variety of regional data, including data from the 2016 Census of Population and Housing. They are specifically designed for the output of ABS Labour Force Survey data and therefore have population limits imposed by the Labour Force Survey sample. These areas represent labour markets or groups of labour markets within each State and Territory.
Total persons employed in a year is computed from the average of the monthly employment estimates within a year. (Source: NERO data)
Youth poverty rate is the proportion of individuals in the target age group who live in a household experiencing poverty. A household is defined as experiencing poverty if its total family income is lower than 60% of the median equivalized income in Australia.
Youth unemployment rate is the number of unemployed individuals in the target age group divided by the number of individuals in the labour force in the target age group. (Source: LFS data)
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