Broker density may not be the opportunity signal people think it is.

Low broker density looks like an open market, but it usually is not one. The FBAA and CoreData density report measures where brokers live, not where they service clients or where lending demand exists. Because remote servicing is now standard, a low-density region is often a smaller addressable market with tighter networks, not an undersupplied one. As a hiring or relocation filter, density is close to useless on its own.

The bottom line: Broker density measures distribution, not demand capture, so reading low density as easy opportunity is a mistake. FinTalent assesses brokers on capability and pipeline rather than postcode, because remote servicing has broken the old link between where a broker lives and where they compete.

The Northern Beaches ranks 35th nationally for broker density despite holding some of the highest mortgage values in the country. On the surface, that looks like an obvious opportunity.

That ranking comes from the October 2025 Broker Density Report published by the FBAA in partnership with CoreData. It is often read as a signal of undersupply. Fewer brokers, less competition, easier market entry. The issue is not the data. It is how the data gets used.

I have watched brokerages restrict their candidate searches to specific postcodes because a report labelled an area “undersupplied”. I have spoken with bankers planning interstate or regional moves based purely on density rankings, expecting a clearer path to building a book. In practice, those decisions often backfire, because they are built on an assumption that stopped being true years ago: that brokers need to be physically close to their clients. Remote servicing is not a niche model anymore. It is standard practice across the industry.

What does broker density actually measure?

The Broker Density Report measures broker presence relative to the adult population. Nationally, Australia sits at around 10.9 brokers per 10,000 adults. Victoria leads at 13.65. The Northern Territory sits at the lower end of the scale.

That information is valuable. It tells us where brokers choose to live. What it does not measure is where brokers actively service clients, or how lending demand is being met operationally.

There are just over 22,000 brokers in Australia, and roughly 42% operate as sole traders. Most are not constrained by office locations, branch networks or geographic boundaries. A broker can live in Melbourne and write loans across regional Victoria. Another can operate from Brisbane while servicing NSW clients exclusively. The Northern Beaches example shows this clearly. The region ranks low on density, but the client base is not underserved. High value borrowers there are already being looked after by brokers positioned across Sydney who specialise in that demographic. Meetings happen virtually. Face to face happens when it matters. Density measures where brokers reside. It does not measure where competition actually exists.

Should you filter broker candidates by location?

If you are filtering candidates primarily by location, you are shrinking your talent pool for no good reason. I have placed brokers in Queensland whose entire books sit in NSW. I have placed Melbourne based brokers who built regional portfolios without relocating once. The idea that a broker must live locally to perform locally no longer holds.

The real hiring question is not where a broker lives. It is whether they can build trust, manage relationships and deliver outcomes without relying on physical proximity. The turnover data backs this up. Queensland’s broker turnover rate sits around 10.2%. Victoria’s sits closer to 6.9%. If low density equalled easier opportunity, you would expect the inverse. You do not see it.

Retention correlates far more strongly with business model, support structures and cultural alignment than with geography, and none of those are decided by postcode. It is the same point behind hiring for attitude over experience: the things that actually predict performance are not the ones on the obvious filter. When I advise brokerage owners on hiring, the focus stays on capability, discipline, and how a broker actually runs their pipeline. Location is secondary unless the role genuinely needs physical presence.

Should you relocate based on broker density?

For bankers considering the move into broking, density data is often treated as a shortcut to picking a market. That is a mistake. Low density does not mean low competition. More often it means a smaller addressable market with tighter referral networks and entrenched incumbents.

I regularly speak to candidates planning regional relocations because the data suggests an opportunity gap. In reality they are moving away from established networks into markets where trust has already been allocated and transaction volume is lower than expected. A meaningful portion of licensed brokers settle no loans over extended periods. They are counted in the population figures, but they are not transacting, and many made strategic decisions, including geographic ones, without fully thinking through where their pipeline would come from. The brokers who scale fastest do not chase undersupplied regions. They build where their relationships already exist, wherever they happen to live, and then expand from there. If you are weighing a move, the questions in switching brokerages matter more than any density ranking.

Why does broker density keep getting misread?

Density data is easy to misinterpret. High density feels like saturation. Low density feels like opportunity. The report was never designed to act as a hiring or career decision tool in isolation. It measures distribution, not demand capture.

The Northern Beaches is not underserved. It is serviced differently than the data implies. For hiring managers the takeaway is simple: stop using geography as a blunt filter unless the role genuinely requires it. For candidates it is just as clear: do not relocate based on density rankings, build where your credibility already exists.

Geography still matters. Just not in the way most people assume. The workforce has moved on. The interpretation has not.