Workforce Confidence Index → Australia
Australia Workforce Confidence Index (WCI)
The LinkedIn Market Research team surveys its members daily to understand how they’re feeling about their careers, current company, personal finances and more. Every two weeks the team aggregates the survey data to analyze the latest in Workforce Confidence trends. Consumer confidence measures have historically been a key indicator of the economy. LinkedIn is in a unique position to measure how people feel, to understand what challenges they’re facing and help find them solutions.
In the WCI survey, market researchers ask LinkedIn members about:
1. Their confidence to get/hold a job, improve their financial situation and progress in their career. That is used to calculate an ICI (Individual Confidence Index) score from their opinions by assigning each respondent a score (-100, -50, 0, +50, +100) based on how much they agree or disagree with the three statements. Then, a composite average score across all statements is calculated.
2. Their confidence in how their employer will fare over the next six months (better or worse than it is currently doing) to calculate a CIE (Confidence in Employer) outlook score from these opinions. The nation’s CIE outlook is the percentage of people who said their employer will be "better off" minus the percentage of people who said it will be "worse off" in the next six months.
3. Workforce trends like the desire for flexibility, four-day work weeks, mental health benefits and more.
Select a category below and you will be directed to the corresponding up-to-date data.
Individual confidence in Australia | Confidence in employers in Australia
Individual confidence in Australia
In the WCI survey, LinkedIn market researchers ask LinkedIn members about their confidence in their ability to get/hold a job, improve their financial situation and progress in their career. That is used to calculate an ICI (Individual Confidence Index) score from their opinions by assigning each respondent a score (-100, -50, 0, +50, +100) based on how much they agree or disagree with the three statements. The composite average score across all statements is then calculated.
Nearly three years after the start of the global COVID-19 pandemic, worker confidence in Australia is slowing increasing:
Within the Individual Confidence Index, here is what LinkedIn members in Australia told market researchers about how confident they’re feeling about their job stability, personal finances and career advancement between January 2021 - January 2023:
Confidence in Employers in Australia
In the WCI survey, market researchers ask LinkedIn members about their confidence in how their employer will fare in the next six months (better or worse) and calculate a CIE (Confidence in Employer) outlook score from these opinions. The CIE outlook is the percentage of people who said their employer will be "better off" minus the percentage of people who said it will be "worse off" in the next six months.
At the start of the pandemic, workers in Australia had low CIE with a score of -28. That number improved steadily over the last few years, aside from a dip in July 2020 (+1), and another dip in July 2021 (+18). The CIE outlook score was at an all-time high of +39 in spring 2021. In 2022, CIE was more volatile. It started the year at +31, held steady until Spring 2022, then dropped to +20 in July. CIE saw two more drops in 2022, one to +21 in September, and another to +24 in December. ( At the beginning of 2023, Australian workers had higher confidence in their employers (+30).
Methodology
LinkedIn’s Workforce Confidence Index is based on a quantitative online survey from LinkedIn’s Market Research team that is distributed to members via email every day and aggregated every two weeks. Roughly 1,000 Australian-based members respond to each two-week wave of the survey. Members are randomly sampled and must be opted-in to research to participate. Students, stay-at-home partners and retirees are excluded from analysis to get an accurate representation of those currently active in the workforce. Data is analyzed in aggregate with member privacy prioritized.
Data is weighted by engagement level to ensure fair representation of various activity levels on the platform. The results represent the world as seen through the lens of LinkedIn’s membership; variances between LinkedIn’s membership and the overall market population are not accounted for.
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