Letting Agents in Bordon & Whitehill (GU35)

For Bordon landlords

Compare 5 verified letting agents serving Bordon

AgentCheck vets every letting agent in Bordon on fees, regulatory compliance, and landlord-verified performance data. Tell us about your property in two minutes and we'll match you with the right agent independently.

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Typical letting agent fees across the UK

Local data is limited, so these are typical UK-wide fees (median of 1810 firms that publish them, including VAT). Fees vary by agent and service level, so compare the agents below for exact quotes. See the UK letting agent fee index for national figures.

Local Market Insights & Statistics

GU35 has traditionally been one of the more affordable corners of East Hampshire, where the district average private rent stood at around £1,245 pcm in late 2025 after a roughly 7% annual rise. Bordon itself has often sat a little below the district mean for older stock, while the wave of new-build homes at Prince Philip Park and other regeneration phases command a premium for their modern spec and low running costs. Across the district, one-bedroom homes average around £888 pcm, terraced houses about £1,263 and semi-detached around £1,404, with detached homes near £1,735, a spread that maps closely onto Bordon's own range, where two-bed homes broadly sit in the £1,000 to £1,250 bracket and three- and four-bed family houses typically £1,300 to £1,700, with the best new-builds higher. The regeneration is the defining feature: as new schools, the town centre and the incoming supermarket and other amenities come on stream, the town's appeal and its rental profile are expected to strengthen. For now, landlords benefit from relative affordability drawing tenants from pricier Farnham, Alton and Haslemere, combined with growing modern supply that keeps quality high.

• Average Rent
  £1,250 PCM

Frequently Asked Questions

How We Research and Rank Letting Agents

AgentCheck is a comparison platform. The information on this page is compiled from multiple verified sources and scored algorithmically. No agent can pay for a higher position. Some agents listed here, including Let Correct branches, have a commercial relationship with AgentCheck, and it plays no part in where they appear. Our full methodology is set out below so you can assess the data for yourself.

How Rankings Are Determined

Agents are listed in two groups. First come agents with an established track record: a complete profile (contact details, website and location all published), a Google rating of 4.0 or better and at least three Google reviews. Every other agent serving the area follows. Nobody can buy their way into the first group.

Inside both groups agents are ordered by a quality score built from four signals:

1. Google rating: star rating sourced from Google Places. Ratings built on only a few reviews are pulled towards the average until more reviews arrive, so five reviews cannot beat fifty.
2. Review count: the volume of Google reviews, indicating an established track record.
3. Transparency: whether the agent has claimed its profile, publishes its fees, has had those fees confirmed, and names its redress scheme and client money protection. This is the one signal an agent can improve directly, and every part of it helps landlords compare.
4. Profile completeness: whether contact details, website and location are published.

The score contains no commercial component. Paying for a subscription does not raise it. Claiming a profile raises it only through transparency, which is free to every agent. As more agents claim their profiles and publish their fees, rating and reviews decide more of the order.

Data Sources

• Agent Self-Submissions: Letting agents provide their fee schedules, service inclusions, and business details directly through the AgentCheck platform. Submitted data is reviewed editorially before publication.
• Google Places API: Business ratings, review counts, address, and contact details are sourced from the Google Places API and cross-checked against agent-provided data.
• Public Rental Market Data: Average rent and yield figures are derived from publicly available property market datasets and are reviewed periodically for accuracy. They are indicative and may not reflect micro-local variation.
• Local Authority Licensing Registers: Selective licensing and HMO licensing information is sourced from publicly available local authority publications and the MHCLG selective licensing database where available.
• Direct Landlord Enquiries: Anonymised demand signals from landlord search and enquiry patterns on AgentCheck are used to calibrate the investor demand score for each area.

Limitations & Disclaimers

• Coverage: Listings are most comprehensive in areas where five or more agents have been indexed. In smaller or rural markets the list may not be exhaustive.
• Yield & rent figures: Average yield and rent statistics are indicative. Actual investment returns depend on property type, condition, tenant profile, and local micro-conditions that aggregate data cannot capture.
• Google reviews: Review counts and ratings reflect publicly submitted Google reviews across all aspects of an agent's service and may include reviews unrelated to lettings specifically.
• Fee data currency: Agent fee data reflects the most recently submitted figures. Always request a written fee schedule directly from any agent before signing a management agreement.
• Commercial relationships: Some agents listed here, including Let Correct branches, have a commercial relationship with AgentCheck. It plays no part in where they appear. The order of this list is set by the quality score described above.
• Unverified agents: Some agents have been discovered from public sources but not yet claimed or formally verified. Data accuracy for unclaimed profiles depends on public source quality.

Review Cadence & Editorial Independence

Area pages are reviewed by a property specialist every six months, or sooner where significant market changes are detected. The date of the most recent review is shown above.

AgentCheck is independently operated. Rankings are produced algorithmically from objective signals. No agent can pay for a higher position. Agents may subscribe to premium features (such as enhanced profile display), but subscription status does not alter the underlying ranking score. Editorial content is produced without commercial direction from any individual agent or industry body.