Big Data Realty

Big Data Realty Big Data Realty is analytics real estate firm in Miami

06/03/2026

Sea Cliff vs Pacific Heights. Isolation vs Infrastructure.

Everyone talks about San Francisco luxury, but the definition of a premium asset splits the market. Marketing sells prestige, but what actually holds value when the market shifts—total privacy or peak walkability?

The Data:

* Pacific Heights gives you a 97 Walk Score and Fillmore Street access. It is a hyper-liquid market: a $1.765 million median entry point with an average of 17 days on the market.

* Sea Cliff is engineered scarcity (low Saturation): zero commercial zoning, no shops, just pure coastal bluffs.

* The barrier to entry is massive: a $4.4 million median, moving into $18.1 million trophy territory for ocean views. This isn't about immediate Cash Flow; it's about pure Appreciation and geographic monopoly.

Big Data Verdict:

* If your goal is a highly liquid asset and urban convenience — choose Pacific Heights.

* If your goal is generational wealth preservation and absolute exclusivity — choose Sea Cliff.

What is your priority: Walkability or total isolation? Vote in the comments (Team Pacific Heights vs Team Sea Cliff).

In real estate, the most expensive mistake is not always the purchase price. Sometimes it is the shortcut.A commission d...
05/30/2026

In real estate, the most expensive mistake is not always the purchase price. Sometimes it is the shortcut.

A commission dispute in Golden Beach reportedly started around an $84K broker commission.

It ended with a jury verdict near $48M.

That is not a typo.
That is a courtroom-sized invoice.

The key lesson for buyers is simple: if an agent actually worked with you, showed you the market, helped structure the deal, negotiated value, and created a paper trail, you cannot assume the relationship disappears just because the deal gets rerouted through someone else.

The jury was not just looking at the commission.

It was looking at the behavior.

In the post-settlement world of written buyer agreements, clearer compensation terms, and more documentation, buyers need to understand exactly who represents them, how compensation works, and what obligations they may be creating before the first showing.

Read the agreement.
Discuss compensation upfront.
Document everything.
Do not turn a house hunt into a legal thriller.

Big Data Realty analyzes Florida and California real estate through data, deal structure, and actual market behavior, not listing poetry.

Follow us if you want to buy real estate in the U.S. with your eyes open.

Where do you draw the line between smart negotiation and a dangerous shortcut?

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05/27/2026

Potrero Hill looks like one of the smartest buys in San Francisco. Sunshine, walkability, short commutes, parks, and an active market. But here is the problem. Potrero Hill is not really one neighborhood. North Slope and South Slope can behave differently. A few blocks can change the slope, the access, the commute, and the daily lifestyle. And the housing stock adds another layer: single-family homes, condos, TICs, and multi-family flats can look similar online but behave very differently when financing and resale enter the picture. Full video is on our YouTube channel

Pacific Heights looks like classic San Francisco elegance from the street.Then you open the spreadsheet, and it quietly ...
05/27/2026

Pacific Heights looks like classic San Francisco elegance from the street.

Then you open the spreadsheet, and it quietly says: “Nice house. Now let’s talk about the land underneath it.”

We just published a Big Data Realty video series on Pacific Heights, San Francisco, plus a fresh market update.

The short version: Pacific Heights is not just expensive. It is a very specific kind of expensive.

Here is what we covered:

Video 1 - Pacific Heights, San Francisco: Walkable, Beautiful, and Not Exactly Easy
We look at daily life in the neighborhood: Fillmore Street, Lafayette Park, Alta Plaza, transit, schools, BART limitations, and why a 97 Walk Score can still come with a 56 Bike Score. Hills are free. Your knees may disagree.

Video 2 - Pacific Heights Property Data: Why the Land Matters More Than the House
We analyzed more than 4,500 parcels. Only about 20% of homes are detached single-family houses. The typical residence is about 1,400 sq. ft. Median assessed land value is about $2.2M, while the structure is roughly $600K. In many cases, the land is the real story.

Video 3 - Pacific Heights Transaction Analysis: Fast Sales, Over-Ask Bids, and Stale Luxury
In the earlier 90-day window, nearly 70% of closed sales sold above asking, with a median premium of 9%. But the market was split. Well-priced listings moved fast. Stale luxury listings had a much harder time pretending the market owed them patience.

Latest Market Update - Pacific Heights Absorption Accelerated
As of May 12, 2026, the refresh window showed 58 closings and 49 new listings. Closing pace rose from 18.4 per month in the trailing baseline to 29 per month. Above-ask closings increased from 36.4% to 58.6%, while below-ask outcomes fell from 46.2% to 24.1%.

Two examples show the split clearly:

2685 Pacific Avenue
Listed at $6.5M
Sold for $9.2M
9 days to pending
41.5% over original ask

2550 Baker Street
Original list: $9.995M
Current list: $8.7M
3 listing episodes
162 days active

Same neighborhood. Very different outcomes.

That is why we enjoy producing these market breakdowns. The useful question is not just “is Pacific Heights expensive?” Everyone already knows that.

The better question is: where is the market moving, which segment has leverage, where is land value driving the deal, and which listings has the market already rejected?

What community should we analyze next? San Francisco, Bay Area, South Florida, or anywhere else where the listing photos look beautiful but the data tells the real story.

Big Data Realty
We run the numbers. You make the call.

Woodside, CA looks quiet from the road.The data is much louder.We just published a 3-part Big Data Realty video series o...
05/25/2026

Woodside, CA looks quiet from the road.

The data is much louder.

We just published a 3-part Big Data Realty video series on Woodside, and the market has a few contradictions worth paying attention to:

* March 2026 median sale price: $5.75M
* Median days on market: 8 days
* Median single-family lot size: 56,000 sq. ft.
* 37% of residential records are vacant land
* 22% of parcels have been held more than 20 years
* Recent median time to accepted offer: 13 days
* Recent over-ask rate: 47.1%
* Relisted closed sales took 43 median days to go pending
* Relisted sales gave back a median 14.9% from the original asking price

The simple version:

Woodside is not just a luxury housing market. It is a land market, a privacy market, and a Prop 13 supply-friction market all at the same time.

Fresh, credible listings can move fast. Overpriced or stale listings can sit quietly while the redwoods grow around them.

We genuinely enjoyed producing this one because Woodside is exactly the kind of market where the usual real estate narrative is too lazy. You have to look under the parcel layer, the ownership history, and the actual transaction behavior.

Check the first comment for all 3 videos.

And tell us what community we should analyze next - San Francisco, Bay Area, South Florida, or anywhere with interesting real estate data.

Big Data Realty
We run the numbers. You make the call.

05/22/2026

Developers are peddling "safe" inland elevations at massive markups, hyping up Miami's flood risks. Meanwhile, coastal owners are panic-selling due to insurance spikes. Investors are torn: overpay for peace of mind or scoop up high climate-risk assets at a steep discount? Marketing lies, numbers don't. Let's look at the data.

Analytics:

Price per Sq.Ft.: Inland "Safe Zones" are severely overpriced. You're paying a premium for dry land, capping your upside from day one. On the coast, soaring Climate-Disaster Scores are forcing distressed sales, creating a massive Disaster Discount opportunity.

Cash Flow & Cap Rate: If you're using leverage, coastal insurance premiums will obliterate your Cash Flow. But for cash buyers bypassing mortgage requirements, the Cap Rate on coastal rentals continues to crush inland numbers.

Appreciation: Safe zones offer predictable, boring appreciation. The Disaster Discount is a pure arbitrage play. The moment local infrastructure upgrades (new sea-walls or pump systems) are completed, that risk discount vanishes, resulting in massive equity spikes.

Big Data Verdict:

If the goal is conservative wealth preservation and stress-free Cash Flow — choose Safe Zones.

If the goal is maximum ROI, you have liquidity, and you want to play mathematical arbitrage on crowd fear — choose Disaster Discount.

Are you playing it safe or buying the fear? Vote below: Team Safe vs Team Disaster 👇

Coconut Grove has officially entered the “formerly bohemian, now bring $2M and a spreadsheet” phase of Miami real estate...
05/22/2026

Coconut Grove has officially entered the “formerly bohemian, now bring $2M and a spreadsheet” phase of Miami real estate.

We just published a 3-part Big Data Realty series on Coconut Grove, and the data tells a much more interesting story than the usual “charming village near the bay” description.

Yes, the Grove has the walkability, the trees, the restaurants, the bay access, the schools, the parks, and that rare Miami feeling that someone designed a neighborhood before valet parking became urban planning.

But when you run the numbers, the story gets sharper.

In Video 1, we look at Coconut Grove as a community and lifestyle market. The median sale price is about $2.16M, compared with Miami’s citywide median of $674K. That means the Grove is trading at more than 3x the broader city median.

In Video 2, we go under the listing photos and into the property data. We analyzed 13,022 parcel records and filtered the dataset down to 10,372 relevant homes and condos. The standout finding: for single-family homes, the median land-to-total ratio is 141%.

Translation: Coconut Grove is not just a house market. It is often a land market with roofs attached.

In Video 3, we look at the current transaction data. The median single-family sale price over the last 3 months was $3.4M, but 83.5% of single-family closings sold below the original asking price, with a median discount of 10.8%, or about $305K.

So no, this is not a simple “everything is hot” market.

It is a selective market where land, sub-area, pricing discipline, inventory timing, and buyer patience all matter.

That is exactly why we produce these breakdowns. Not to repeat the usual neighborhood brochure language, but to understand what the numbers actually say.

Check the first comment for all 3 videos.

What South Florida community should we analyze next?

We run the numbers. You make the call.

Glen Park looks peaceful from the sidewalk.Then you open the spreadsheet.We just published a 3-part Big Data Realty seri...
05/21/2026

Glen Park looks peaceful from the sidewalk.

Then you open the spreadsheet.

We just published a 3-part Big Data Realty series on Glen Park, San Francisco - and this neighborhood is a perfect example of why real estate analysis needs more than pretty listing photos and vague “great location” language.

In Video 1, we look at Glen Park as a community: the village, BART access, Glen Canyon, the Bosworth corridor, schools, safety, and why a month with only 6 sales should not be turned into a grand market theory.

In Video 2, we go deeper into the property data. Our dataset covers 2,817 residential records, and one number really stands out: on 64.2% of valid assessed-value records, land value exceeds improvement value.

That means buyers are often paying heavily for land, slope, scarcity, position, and long-term supply constraints - not just the house itself.

In Video 3, we look at the current market.

New listings were up 29.4%.
Closings were down 22.6%.
Yet 81.2% of closings sold above the original asking price.

That is not a simple “soft market” story.

That is a selective market - where the right homes still attract aggressive buyer competition, while weaker inventory has to work much harder.

This is exactly the kind of analysis we love producing: community context, parcel-level data, ownership structure, transaction behavior, and the parts of the market that do not fit into lazy real estate narratives.

Links to all 3 videos are in the first comment.

What San Francisco or Bay Area community should we analyze next?

We run the numbers. You make the call.

A Silicon Valley broker arrives at the Pearly Gates. St. Peter offers a quick showing. Heaven is perfectly quiet, the in...
05/20/2026

A Silicon Valley broker arrives at the Pearly Gates. St. Peter offers a quick showing. Heaven is perfectly quiet, the infrastructure is flawless, and there's zero deferred maintenance.

"What’s the Cap Rate?" the broker asks, pulling out a calculator. St. Peter sighs heavily. "Zero. It’s eternity. You just exist in peace."

Bored to tears, the broker demands to see Hell. Down there it’s 115 degrees, half the lots are completely underwater, and the rest are perpetually on fire.

"Ah, so a mixed portfolio of Miami and San Jose," the broker nods approvingly. "What’s the HOA?" Satan grins: "Waived entirely. And buyers skip all inspection contingencies."

The broker instantly opens Docusign on his iPad. "Write up the offer. The cash flow on eternal suffering is absolutely recession-proof." 📉🔥

Drop your worst HOA horror story below. I need to know I'm not suffering alone.

05/15/2026

Regular Russian Hill real estate market updates from Big Data Realty. Pricing, inventory, over-ask sales, days on market, buyer leverage, seller strategy, and San Francisco housing trends - all tracked through data, not guesswork.

Watch the full video on our YouTube channel

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