Skip to main content
FairWorkMate

FairWork Mate Insights

The intelligence layer of the platform. Data-driven analysis of Australian pay, awards and workplace compliance — drawn from the public Fair Work record and our own verified datasets. Sector-level patterns, never individual employers. For news and how-to guides, see the blog.

The big picture · Fair Work enforcement, FY2014–15 to FY2025–26

$641.9M
recovered for underpaid workers
188,563
workers back-paid
$68.1M
in court penalties
$1,738.851
average owed per worker

Insights

Expiry Radar

Enterprise Agreement Expiry Radar

3,605 Australian enterprise agreements are already past their nominal expiry date and still legally operating, with 573 more passing expiry in the next 90 days — tracked across 13,973 agreements and 11,757 named employers. Nobody else aggregates this.

Data Index

The Australian Workplace Data Index

A living dashboard of 89 figures — enforcement, insolvency, regional labour markets, occupation outlook, tax & retirement, aged care, childcare, NDIS, visas, labour hire, FWC claims and enterprise bargaining, computed across government datasets. The numbers no one else puts in one place.

Wage compliance

What Australia's wage-compliance record shows

$641.9M recovered for 188,563 workers, where underpayment happens, and why enforcement has risen sharply since 2019 — sector-level, from the public Fair Work record.

Insolvency & redundancy

Australian business insolvency & redundancy risk

How many companies are failing, whether it's worsening, and what happens to your entitlements if your employer becomes insolvent — from ASIC insolvency + Fair Entitlements Guarantee data.

Regional pay

Does the city really pay more?

Capital-city employees out-earn regional Australia by 19.1% on average — widest in the NT (+28.5%), narrowest in WA (+10.7%) — yet the minimum wage and award rates are identical everywhere. Capital-vs-regional income, weekly earnings and wage growth, state by state. From ABS and ATO data.

Casual work

How casual is Australia's workforce?

About 20.3% of employees are casual — where it's most common (SA) and least (ACT), plus your rights to loading, leave and conversion. From ABS data.

Skills & demand

What jobs are in shortage in Australia?

293 occupations in national shortage — dominated by professionals and trades — against 211,240 job vacancies. Which roles are hardest to fill, and what they pay.

Gender equality

Women, work and the leadership gap

Women are 51.6% of the workforce but just 39% of senior leaders — a 12.6-point leadership gap. Where it's widest, by industry. From WGEA data.

Workplace safety

What Australia's workplace-safety enforcement shows

1,370 WHS prosecutions carrying $164.2M in penalties — including 237 workplace fatalities — and the sectors, states and injury levels behind them. Aggregate, from Safe Work Australia's public record.

More insights on the way

We're expanding the intelligence layer — award-by-award compliance, enforcement trends and more, all from verified data.

Ask the AI about this data

Our AI advisor is grounded in the same Fair Work and Safe Work records. Ask it anything — which industries, how much, how it's changing — in plain English.

Ask the advisor →

Data partnerships & access

One of Australia's richest workplace databases

FairWork Mate maintains a continuously-updated warehouse of Australian workplace data — enforcement outcomes, corporate insolvency, pay and earnings, casualisation, skills demand, and proprietary composite indicators — all traceable to primary government sources. For data access, licensing, custom research or media enquiries, we'd love to talk.

Enquire about data access →

Figures are aggregated from the Fair Work Ombudsman's public enforcement record and refresh as new outcomes are published. We report sector-level patterns only and do not name individual employers. General information, not legal advice.

Put this data to work — with Business

Business Solo and above unlock the full Workplace Data Index: filter and search every computed figure in one place, and export the whole dataset to Excel for your own analysis.