The RGV Business Journal’s Data Center turns numbers into strategy for investors on the border
Several tractor-trailers drive down a heavy-duty corridor in Brownsville in September 2025. Photo Credit | Kristen Mosbrucker-Garza

Numbers prove the border is not just a line on a map. It exists, instead, as a living artery that pulses with people, goods, and capital.

Anyone who has watched the bridges that link South Texas and northern Mexico — from Starr County to the Gulf — has seen the border’s constant motion. Trucks roll north in endless files. Workers walk south in the evening light. Families push strollers, and shoppers carry bags. The movement never stops, and the numbers tell a story as vivid as the scene.

The Rio Grande Valley Business Journal has begun collecting that story in a single digital home to help everyone acquire a greater understanding of the region’s vitality and its future.

Where the border comes to life

Our Data Center gathers information that used to be scattered across government portals and forgotten spreadsheets and offers it in clean and concise manner.

Close-up of a maquiladora worker using a sewing machine to produce garments in Reynosa.
A seamstress works at a sewing station in Reynosa, Mexico.
Photo Credit | Naxiely Lopez-Puente

Our site offers a rare clarity about what is happening along the U.S.–Mexico frontier, and, historically, how trends and growth originated. For subscribers, the data is not abstract. It is a tool for decisions, investments, and growth.

Among the most useful resources subscribers will find are two large sets of information. One tracks Border Crossings, the other the Labor Market in the Valley’s cities and counties.

The numbers measure different things, but together they form a portrait of the border economy. Border crossings show how people and products move. Labor figures explain whether the region can support the next wave of manufacturing and logistics growth.

Inside the Data Center

The past decade of labor data tells a familiar but continually hopeful story.

The data show that the pandemic sent unemployment soaring in 2020. Jobless rates reached double digits across much of the Valley. But recovery came quickly, in fact faster than in much of the U.S.

By 2023, most of the 40 plus communities in Starr, Hidalgo, Cameron, and Willacy counties had returned to single-digit unemployment. The workforce grew younger and more diverse. Hiring stabilized in education, health care, retail, and construction. Those numbers today suggest a labor pool ready for companies looking for skilled workers close to U.S. markets.

Tractor trailers cross southbound to Mexico
A tractor-trailer heads south to Mexico through Pharr.
Photo Credit | Kristen Mosbrucker-Garza

Labor and trade in motion

The border crossings data provide another measure of promise.

Truck and container counts at the Hidalgo and Brownsville ports have grown steadily over the decade, interrupted only by brief declines during policy changes or the pandemic shutdowns.

Passenger vehicle and pedestrian crossings have also climbed.

The Valley has become an even more vital corridor for trade. These movements show that the infrastructure already supports the kind of nearshoring now reshaping manufacturing as multi-national corporations move operations closer to American markets by relocating facilities to Mexico and the Texas border.

For global businesses that might be considering new plants or supply chain shifts, the significance is obvious.

The Valley offers a mix of available labor and direct access to Mexican manufacturing zones. The data make that case in ways that anecdote and marketing simply cannot.

Site selectors and logistics firms can overlay port traffic and employment statistics to find the most efficient locations, and the data indicate there are numerous spots to grow their companies in the Valley. Executives can also model costs, test assumptions, and measure the reliability of cross-border flows.

The information converts uncertainty into strategy.

Turning information into strategy

Of all the data sets, the Border Crossings tables may be the most valuable because of the offered insight.

They track not only the number of vehicles but the kind of cargo.

They distinguish between loaded and empty containers, and between commercial and personal crossings. A company planning to ship automotive parts or electronics can see real volumes and patterns by month and port.

That level of detail saves time and reduces risk.

The Rio Grande Valley Business Journal gains as much as its readers.

Offering data as a service turns journalism into an instrument of growth and not just accurate, reliable information, which is the definition of public service. Each update will draw more subscribers who want to stay ahead of changes in traffic or employment.

Our reporters also benefit. They can use the data to investigate trends and test public claims. The result is a more informed community and a stronger publication.

Timeliness is also what gives the Data Center its power.

Monthly border-crossing updates and quarterly employment figures keep the information alive. A sudden drop in truck crossings or a rise in county joblessness is visible within weeks. Jumps in sales tax collections or airline boardings can also tell a story, as can decreases. Businesses and public agencies can respond before small problems become crises.

Pickup trucks and cars wait in line on the Starr Camargo Bridge at sunset.
Vehicles line up on the Starr Camargo Bridge.
Courtesy of | Dolores Reyna

The Valley has always been a place of motion and ambition. Now it has a set of numbers that prove it.

The data compiled by the Rio Grande Valley Business Journal do more than describe the border economy. They reveal its rhythm, its unfolding — and its likely unending — potential.

For companies and communities willing to study the figures, the future of the region is not a mystery. It is a measurable opportunity waiting to be seized.

(The Data Center, which will be available to premium content subscribers, is free and open to the public until Nov. 1.)


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