Blog Real Estate Analysis Mashvisor City Guides Now Include Redfin Housing Market Data
Mashvisor's city investment guide pages now feature Redfin housing market data
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Mashvisor City Guides Now Include Redfin Housing Market Data

Most real estate investors are juggling at least two browser tabs when they’re sizing up a market: one for rental analytics, one for local sales trends. That gap just closed.

Mashvisor’s city investment guide pages now display live Redfin housing market data directly alongside STR and traditional rental metrics. It’s a direct result of the Mashvisor-Redfin partnership announced earlier this year, and it makes the research process meaningfully faster and more complete.


 Key Takeaways

  • Mashvisor city guides now embed Redfin housing market data (homes sold, days on market, sale-to-list ratio, price drop rate, active listings, months of supply) directly on the page.
  • You can now compare Airbnb cash-on-cash return, rental income, and occupancy against local for-sale market conditions, all in one view.
  • The integration is live across all Mashvisor city guides.
  • This is part of a broader Mashvisor-Redfin partnership built around data transparency and smarter real estate decision-making.
  • Investors can use the combined data to assess whether a market favors buying now, waiting, or converting an existing property to a rental.

If you’ve spent any time on Mashvisor’s city pages, you know they already pack a lot: median property sale prices, cash-on-cash return for both traditional and Airbnb strategies, projected rental income, Airbnb occupancy rates, and the number of active investment properties in the area.

Now there’s a new section sitting below all of that: Redfin Housing Market Insights, powered by Redfin.

Take San Francisco as an example. Pull up the San Francisco investment property guide and you’ll see the Mashvisor data you already know:

  • $1,631,657 median property sale price
  • 2% Airbnb cash-on-cash return
  • $6,026 in projected monthly Airbnb rental income
  • 43% Airbnb occupancy rate

Right below that, you now get Redfin’s read on the same market:

  • 1,446 homes sold
  • Median of 14 days on market
  • 100% sale-to-list price ratio
  • 11% of listings with price drops
  • 2,732 active listings
  • 2.0 months of supply

That combination tells a story neither dataset can tell alone.

Mashvisor’s San Francisco City Investment Guide Page Featuring Redfin Market Data

Why Having Both Datasets on the Same Page Matters

Long-term and STR data answer the income question. Redfin market data answers the acquisition question. And you really can’t make a clean investment decision without both.

A market with strong Airbnb occupancy and solid rental income might look great on paper. But if the for-sale side is extremely tight (low months of supply, homes closing at or above list price with zero price drops), that affects your ability to find deals, your negotiating position, and your realistic entry price. On the flip side, a market with rising inventory and softening sale prices might represent a real acquisition window, even if STR returns look average on the surface.

Before this integration, piecing that together meant pulling up Mashvisor for rental analytics, then heading over to Redfin for sale trends, then mentally reconciling two different data sets with different formats and different reference periods. That’s a friction point most investors just power through, but it adds noise to the process.

Now it’s one page, one view, one decision.

Want to see the data for your target market? Browse all city investment guides here.

What the Redfin Data Actually Tells You

Here’s a quick breakdown of each Redfin metric now showing on Mashvisor city guides, and how to use them:

Number of homes sold: This tells you how active the market is. A high transaction volume signals liquidity, which matters if you’re planning an exit down the road.

Median days on market: In San Francisco, that number is 14 days. That’s a fast-moving market. Homes aren’t sitting. If you’re planning to buy, you need to be ready to move quickly and make strong offers.

Average sale-to-list price ratio: At 100% in SF, homes are closing at asking price on average. You’re not finding discounts here. That’s useful context when you’re projecting your purchase price and modeling returns.

Percentage of listings with price drops: 11% in San Francisco. In slower markets, you might see this at 25-35%, which signals more seller flexibility and more negotiating room.

Active listings count and new listings count: These tell you how competitive the buyer pool is. More listings generally means more choices and less pressure. Fewer listings means you’re competing harder for every deal.

Months of supply: Two months in SF is still firmly a seller’s market. Six months is considered balanced. Below 3 is tight. This single number gives you a fast read on supply-demand dynamics without needing to do the math yourself.

Having these numbers visible while you’re already looking at rental income projections and occupancy rates means you’re asking the right questions earlier in the process. They’ll help you decide if you want to conduct deeper due diligence on a market or not.

Short-Term vs Long-Term: The Data Helps You Decide

One of the more underrated uses of the combined dataset is deciding which rental strategy makes sense in a given market.

For-sale market metrics tell you what kind of market you’re buying into, and that context shapes which rental strategy actually makes sense. In a tight market with low months of supply, homes closing at or above list price, and barely any price drops, you’re paying full value. That raises your cost basis and compresses returns across the board, but it hits long-term rentals harder because your income is capped by local lease rates and you can’t adjust mid-tenancy. If Mashvisor’s Airbnb occupancy and cash-on-cash return projections are strong in that same market, the STR premium may be the only thing that makes the numbers work at all.

Reverse those conditions and you get a different picture. Rising active listings, more price drops, days on market ticking up, that’s negotiating room, and negotiating room lowers your acquisition cost enough that long-term rental returns can stand on their own without needing STR income to carry the deal.

Most investors intuitively understand this trade-off, but having both datasets live on the same page makes the comparison faster and more concrete. There’s a reason the short-term vs long-term rental decision is one of the most common questions new investors face. The answer is almost always market-specific, and now the market-specific data is easier to access than ever.

Run the numbers on any market with Mashvisor’s rental calculator.

Markets to Check Out Right Now

The integration is live across all Mashvisor city guides. Here are a few markets worth pulling up to see the combined data in action:

San Francisco, CA

High property prices, fast-moving sale market, and Airbnb income that outpaces traditional rentals by nearly 2x. A city where the STR case is strong if you can clear the acquisition hurdle.

Nashville, TN

A popular short-term rental market with steady tourism demand and a for-sale market that has seen inventory build over the past year, which may create better entry opportunities than in prior cycles.

Scottsdale, AZ

A seasonal STR market with high nightly rates during peak months. Pairing Mashvisor’s occupancy data with Redfin’s active listing count gives you a clearer read on whether current pricing reflects long-term value.

Denver, CO

A market balancing strong long-term rental demand from job growth with increasing STR competition. The Redfin sale-side data helps you assess whether now is a reasonable time to buy or whether waiting for more price moderation makes sense.

Pull up any of these cities now and you’ll see both layers of data working together.

Note: Always be sure to check short-term rental regulations. Cities like San Francisco look good on paper for an Airbnb, but are tightly regulated. The good news is you don’t have to click off Mashvisor to conduct this research. Review STR regulations here.

How This Fits Into the Mashvisor-Redfin Partnership

Mashvisor and Redfin announced their partnership in February 2026, building on a shared belief that better data access leads to better real estate decisions.

The partnership spans content collaboration, data sharing, and tooling integrations like this one. The goal, as Mashvisor VP of Data Ahmed Hashlamon put it, is not just to surface numbers but to help people understand what those numbers mean in real-world terms. When insights are grounded in solid data and presented with transparency, they become genuinely useful, not just impressive dashboards.

Redfin’s Katrina Rembert, who leads Brand Partnerships at Redfin, echoed that: the partnership is about bringing greater clarity and context to people navigating a complex real estate market.

The city guide integration is a direct product of that mission. Redfin brings deep, trusted housing market data at the local level. Mashvisor brings the investment analytics layer: cash-on-cash return, rental income projections, occupancy modeling, and property-level STR analysis. Together, they cover the full picture of what an investor actually needs to evaluate.

Bottom Line

The addition of Redfin housing market data to Mashvisor’s city guides is a practical upgrade that makes the investment research process faster and more complete. You’re not getting new data for its own sake, you’re getting two complementary data sets in the same view, at the moment you actually need them.

If you’re actively evaluating markets for a rental property investment, now is a good time to revisit your target cities with fresh eyes. The page you’ve been using just got significantly more useful.

Start exploring city data with Mashvisor here.

FAQ

What Redfin data is now available on Mashvisor city guides?

Each Mashvisor city investment guide now includes a Redfin Housing Market Insights section showing the number of homes sold, median days on market, average sale-to-list price ratio, the percentage of listings with price drops, active listings count, new listings count, and months of supply. This data is powered by Redfin and displayed alongside Mashvisor’s own investment analytics.

Where can I find the Mashvisor city investment guides?

All city investment guides are available here. You can browse by state and city, and each guide includes both Mashvisor’s STR and traditional rental analytics and the newly added Redfin housing market data.

Why did Mashvisor add Redfin data to its city guides?

The integration is part of the Mashvisor-Redfin partnership announced in February 2026. The goal is to give investors a more complete picture of each market by combining rental income and occupancy analytics with local for-sale market conditions, so you’re not switching between multiple tools to make a single investment decision.

How does the Redfin housing market data help with rental property investment decisions?

For-sale market conditions directly affect your ability to acquire investment properties and at what price. Metrics like months of supply, days on market, and sale-to-list ratio tell you how competitive the buyer environment is, how much negotiating room you have, and whether conditions favor acting now or waiting. Combined with Mashvisor’s income projections, these data points help you assess both the acquisition side and the income side of a potential deal.

Is the Redfin data on Mashvisor updated in real time?

The data is powered by Redfin and reflects current housing market conditions. For the most time-sensitive decisions, you can also visit Redfin directly for deeper market history and trends.

How does Mashvisor compare to tools like AirDNA and Rabbu for city-level investment research?

AirDNA and Rabbu both offer strong short-term rental market data. Mashvisor differentiates by combining STR analytics with traditional rental metrics and, now, Redfin’s for-sale market data, all on a single page. That breadth of data in one place makes it easier to evaluate investment opportunities across multiple dimensions without needing separate tools for each data layer.

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