deepblog

What caused the 2018 construction boom in Irving, Texas?

Irving, Texas, went from building an average of five million square feet per year to 60 million square feet in 2018. Did Irving, Texas, really finish 60,000,000 SF of construction in 2018? When we compared construction activity within the last ten years across Fort Worth, Dallas, Irving, Garland, and Arlington....

Comparing 50-year construction trends between Dallas and Fort Worth, Texas.

Dallas and Forth Worth have inverse 50-year construction trends. How should we interpret these trend lines? According to our 50-year construction trend data, Fort Worth is increasingly bullish on new development, while Dallas is not so much. If we started the trend line in 1990, the two cities would look...

Are economic trends and construction activity correlated?

We have discovered a direct correlation between economic trends and construction activity in the Dallas-Fort Worth MSA. The correlation between construction activity and economic trends makes sense. It makes sense because construction loans are required, and given the tight margins, interest rates can break the bottom line of a new...

Deepblocks launches functionality to export development assumptions.

FEATURE FRIDAY With Deepblocks, you can export a CSV of the back-of-the-envelope development assumptions and integrate it into your pro forma. There is nothing like building your own real estate development pro-forma. Everyone has their flavor, from simple sketches to elaborate forty-tab masterpieces. A pro-forma is a perspective on the...

Ownership and crime in the Dallas-Fort Worth metropolitan area.

What is the relationship between ownership and crime trend lines in small versus large cities? One of the most interesting correlations from our Deepblocks density index report was between ownership and crime. At least in the five sampled cities of Dallas-Fort Worth MSA, the correlation between crime and ownership had...

Density growth index applied to Dallas-Fort Worth metropolitan area.

How to leverage data to detect investment opportunities automatically? The first step is determining which city has the best metrics. We conducted a pilot study on five cities in the Dallas-Fort Worth metropolitan area. We compared Irving, Fort Worth, Dallas, Arlington, and Garland across population density, economic growth, construction density,...

Density is the next level investment metric.

What is density, and how can we use it to identify early real estate investment opportunities? There are many ways to look at geographic data, and when we started developing a Deepblocks index for investment, we hit a few stumbling blocks. For example, when we looked for census tracts with...

Real Estate Investment Automation: Narrowing down the best neighborhoods.

We used a data-driven approach to narrow down the best neighborhoods in Fort Worth, Texas. Fort Worth, Texas, has 218 census tracts. The data we’ve considered includes population and economic growth, construction activity, existing and potential density, and an index created from all the metrics combined. Where are Fort Worth's...

How many Multifamily Development Opportunities in Downtown Dallas, Texas?

We found six prime properties out of 1,867 for multifamily development based on the following search criteria: Vacant Parcels allowing between 100-500 units: 190 sites and lot size larger than 9,600 SF: 6 sites 190 sites are vacant and allow between 100-500 units, and only six of those sites are...

How much development potential is in Dallas, Texas?

Dallas, Texas has 294,122 sites, and 12% are vacant. That’s 35,643 vacant sites. Moreover, 17% of the vacant sites allow for the construction of at least 100 units. That’s 6,299 vacant sites with massive multifamily development. I can see why Dallas has so much development interest and why many customers...

How many cities do we have live in the Dallas-Fort Worth MSA?

When we started digitizing zoning ordinances four years ago, the strategy was to start with the US's largest and most powerful metropolis. Our COO, Jeffrey Millett, created an algorithm to determine the top 100 cities with the most development capacity. Why is digitizing zoning ordinances so hard? We soon realized...

How is data science different from software engineering?

The difference between data science and software engineering is often misunderstood, sometimes by engineers. A few years back, many engineers transitioned to data science when the AI craze was at an all-time high. Excited by the potential machine learning (ML), they eagerly loaded unexplored CSVs onto off-the-shelve ML models. After...