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Property data, United States + Canada

Real Estate Agent Movers

Every licensed agent who changed brokerage between two monthly license files, matched on state and license number: ~23k between the August 2026 and September 2026 releases, with the old office, the new office and matched contact data.

RecruitingReal estateMonthlySignalsLicense data

A brokerage move is the clearest recruiting signal in real estate, and the regulator publishes it. Each month we match every licensee in the new file to the previous one on state plus license number and keep the records whose office of record changed. Between the August 2026 and September 2026 files that was ~23k agents out of ~1.9M matched records across 44 jurisdictions, roughly 1.2% in one month. ~3.9k of them were first licensed before 2010, and ~15k carry a matched mobile.

The measured rate is the honest one. A handful of regulators flip the office field between a team name and the brokerage name, or relabel offices in bulk, which reads as thousands of phantom moves; we exclude those jurisdictions from the count (CT, ND, OR, SD, UT, WV, WY on this snapshot) rather than report them. The table below is one month, named, never annualized.

Public professional profiles show about a third of these moves roughly a month before the regulator does, so pairing this feed with the professional graph gives you the earliest reliable read on who is in motion. Delivered as a monthly file or an API feed, for sourcing and outreach, not employment decisions.

By jurisdiction

JurisdictionMatched across both filesChanged officeShareLicensed before 2010With mobile
Florida~300k~4.5kunder 5%~650~3.2k
New Jersey~88k~2.0kunder 5%~1.1k~1.4k
California~190k~1.8kunder 5%~450~1.3k
Texas~120k~1.8kunder 5%~150~1.3k
Ohio~43k~1.3k~5%no issue dates~900
Washington~43k~1.3kunder 5%~700~1000
Ontario~100k~900under 5%no issue datesunder 100
Georgia~86k~850under 5%no issue dates~650
Arizona~59k~800under 5%~200~600
New York~120k~750under 5%no issue dates~450
Alabama~28k~550under 5%under 100~350
Tennessee~42k~550under 5%under 100~300
Virginia~52k~550under 5%under 100~300
Michigan~52k~500under 5%no issue dates~350
Pennsylvania~53k~450under 5%under 100~300
Maryland~42k~350under 5%no issue dates~200
Illinois~62k~350under 5%under 100~250
Missouri~42k~350under 5%under 100~200
Nevada~26k~300under 5%under 100~200
Oklahoma~18k~300under 5%no issue dates~200
Idaho~13k~300under 5%under 100~200
Minnesota~25k~250under 5%under 100~150
North Carolina~64k~250under 5%no issue dates~200
Louisiana~17k~250under 5%under 100~200
Indiana~21k~200under 5%under 100~150
British Columbia~28k~200under 5%under 100under 100
Kentucky~16k~200under 5%under 100~100
Kansas~17k~200under 5%under 100under 100
Colorado~25k~150under 5%under 100~100
Wisconsin~19k~150under 5%under 100under 100
Mississippi~10k~100under 5%under 100under 100
Arkansas~14k~100under 5%no issue datesunder 100
Quebec~16k~100under 5%no issue datesunder 100
New Mexico~8.7kunder 100under 5%no issue datesunder 100
Maine~7.0kunder 100under 5%no issue datesunder 100
District of Columbia~12kunder 100under 5%under 100under 100
Delaware~5.7kunder 100under 5%under 100under 100
Iowa~11kunder 100under 5%under 100under 100
Nebraska~7.6kunder 100under 5%under 100under 100
Montana~4.4kunder 100under 5%under 100under 100
Rhode Island~7.5kunder 100under 5%under 100under 100
Alaska~2.7kunder 100under 5%under 100under 100
Vermont~1.6kunder 100under 5%under 100under 100
New Brunswick~1.5kunder 100under 5%no issue datesunder 100

August 2026 release compared with the September 2026 release. Counts are rounded. Excluded as publication artefacts (office field changes on more than 5% of matched records): Connecticut, North Dakota, Oregon, South Dakota, Utah, West Virginia, Wyoming. Jurisdictions with no office of record in the register are not listed.

Sample rows

Illustrative and synthetic. Real samples for your geography are a reply away.

statelicense_nonamelicense_typefirst_issuedold_officenew_officemove_detectedemailmobile
FLSL3•••K••••• D•••••Sales Associate06/2014LPT R••••• LLCREAL B••••• LLCSeptember 2026k•••••@gmail.com(813) •••-••41
TX07•••A••••• P•••Sales Agent02/2006KELLER W••••••• REALTYEXP R••••• LLCSeptember 2026a•••@exprealty.com(214) •••-••07

Schema

FieldTypeNotes
statetextnon-personal
license_noidentifiernon-personal
nametextpersonal data
license_typeidentifiernon-personal
first_issueddatenon-personal
old_officetextnon-personal
new_officetextnon-personal
move_detectedtextnon-personal
emailemailpersonal data
mobilephonepersonal data

Abridged. The full data dictionary ships with every sample and lists every field, its fill rate and its source.

Used for

  • Brokerage recruiting: agents already proven willing to move
  • Proptech and lender outreach timed to a fresh office and a fresh CRM
  • Retention analytics: which offices are gaining and losing, net and gross
  • Franchise and M&A diligence on office-level churn

How it is built

Two consecutive monthly regulator files are joined on state plus license number; only records with an office of record in both months count. A move is a change in the normalized office name. Jurisdictions whose month-over-month office change rate exceeds 5% are treated as publication artefacts and excluded from the total, with the exclusions named on this page. Snapshot: September 2026 data, compared with the August 2026 release.

Questions we get

Why is this smaller than the number of agents who join a new brokerage?

It only counts licensees the regulator shows with an office of record in both months, matched on license number. Agents who let a license lapse and re-activate, or who join an office the regulator has not yet recorded, show up the following month.

Can you tell me where they went?

Yes. Both the old and new office of record are on every row, so you can filter to agents leaving a competitor or joining a specific brand.

Is this suitable for hiring decisions?

It is a sourcing and outreach list. It is not a consumer report and is not for use in employment, credit, insurance or housing eligibility decisions.