Ste. 105-18119179 Blanco Rd – Mysterious Address

The address “Ste. 105-18119179 Blanco Rd” raises more questions than answers upon closer inspection. While at first glance it appears to refer to a specific commercial property, the details provided are incomplete and contain apparent errors, making it challenging to find concrete facts about this location. Let’s take a look at what we can glean from analyzing the limited information available about Ste. 105-18119179 Blanco Rd.

What is Ste. 105-18119179 Blanco Rd?

Based on the format of the address, “Ste. 105-18119179 Blanco Rd” seems to refer to Suite 105 within a commercial building located at 18119179 Blanco Road. However, 18119179 is an invalid street number, indicating there may be typos or formatting issues with how the address was recorded.

Without knowing the city, state, and zip code, it’s very difficult to pin down the exact location of this property. “Blanco” means “white” in Spanish, so Blanco Road or Blanco Street can be found in many cities across the U.S., especially in states like Texas, California, and Florida. But with such a vague partial address, it’s impossible to determine which Blanco Road is being referenced here.

Location Uncertainty

Let’s break down the components of the address that were provided:

• Street address: 18119179 Blanco Rd
• Suite number: 105
• City: Unknown
• State: Unknown
• Zip code: Not provided

The glaring issue is the invalid street number. No property could have a number like 18119179. This is likely an error that occurred during data entry or digitization of the address.

Valid street numbers generally range from 1-5 digits. The street number here has 8 digits, so it’s well outside the realm of possibility. Perhaps multiple address fields were accidentally concatenated together. Or extra digits were added by mistake. Without being able to cross-reference other records, the true address remains a mystery.

Property Type Clues

Though the full address is unclear, the inclusion of a suite number provides clues about the type of property it is. Commercial buildings are often divided into individually leased suites or units. This allows multiple businesses to operate separately under the same shared roof.

Common examples of properties with suite numbers include:

• Office buildings
• Medical plazas
• Strip malls
• Warehouses
• Condominiums

So while we don’t know the function of this particular property, we can infer it is likely commercial in nature based on it having a designated suite. However, without more context about the building, its hard to say anything definitive.

Unanswered Questions Abound

Ste. 105-18119179 Blanco Rd offers few facts but raises many questions:

1. What is the real address?
2. What city and state is this property located in?
3. What is the building used for?
4. Who owns and manages it?
5. What kind of businesses lease space there?
6. When was the building constructed?
7. How large is Suite 105 and the building overall?
8. What are typical lease terms and rates?

Answering these basic questions about a commercial property usually requires looking up public records, real estate listings, business filings, and other location-specific sources. But that’s simply not possible with the scant details provided here.

Even searching online for “18119179 Blanco Rd” or “Suite 105 18119179 Blanco Road” turns up no relevant results, which isn’t surprising. The address as written doesn’t follow normal formatting conventions.

Barriers to Deeper Analysis

Several issues make researching this particular property especially difficult compared to most commercial real estate:

1. Transcription errors in the street number
2. Missing city, state and zip code information
3. No information about the building owner or manager
4. No details about the property’s size, age or condition
5. No indication of the current tenants or vacancy status

With the address incomplete and seemingly inaccurate, public records searches are a non-starter. And the lack of any other identifying details about the property leaves few alternate research paths to pursue.

Reliable real estate data aggregators like CoStar, Loopnet and Reonomy require a valid address to return information about a property. The same goes for county assessor and clerk records. Some allow searches by owner name or parcel number, but that information hasn’t been provided here.

Even getting clues from Google Street View or satellite imagery isn’t an option without knowing the city and state to check. Blanco Road simply isn’t unique enough on its own to track down this mystery building.

So unfortunately, in this case the incompleteness of the provided address makes it next to impossible to uncover solid facts about the property it’s referring to. More details would be needed to conduct a meaningful analysis.

Conclusion

In summary, the address “Ste. 105-18119179 Blanco Rd” contains too little accurate information to learn much about the commercial property in question. The invalid street number and missing city, state and zip code create significant obstacles to researching this location.

Key details needed to analyze a property like this include:

• Full, proper address
• Property type and use
• Building size and age
• Ownership and management
• Current tenants and lease rates
• Surrounding neighborhood context

Without most of those fundamental facts, it’s simply not feasible to piece together a reliable and informative profile of Ste. 105-18119179 Blanco Rd.

The big takeaway is that the quality of real estate analysis depends heavily on the quality of the underlying address data. When key components are missing or erroneous, it becomes very challenging to flesh out property details. In this case, addressing the flawed address is a prerequisite to any meaningful research.

Hopefully the data gaps illuminated by looking closer at Ste. 105-18119179 Blanco Rd highlight the importance of capturing complete and accurate location information in real estate records. After all, an address is the starting point for understanding properties of all shapes and sizes. The real estate mantra “location, location, location” applies to data quality just as much as desirability.