For urban TEA, which unemployment data are used?

The EB-5 visa involves investments that may generate additional benefits if the project is located in a Targeted Employment Area (TEA). In the case of urban TEAs, the main criterion is related to the officially recorded unemployment rate.

Most of the time, the indicator used is the unemployment rate reported by government agencies, such as the United States Bureau of Labor Statistics (BLS), or data from the labor department or state agencies responsible for employment statistics. For an urban region to be classified as a TEA, the unemployment rate of that area must generally reach or exceed 150% of the national average, according to the most recent data made available by these official entities. This means the analysis is based on local statistics and comparison with the national average, thus allowing the identification of areas that present challenging labor market indicators and, consequently, are eligible for the benefits foreseen in the EB-5 program.

It is important to bear in mind that the values and periods considered for these data may vary according to updates in policies and methodologies of statistical agencies. Therefore, any investor or interested party in the EB-5 program should consult the most recent official sources and consider seeking specialized guidance to ensure that all definitions and data are interpreted correctly. Strictly following United States immigration laws and obtaining information through reliable channels helps avoid conflicting information, scams, and fraudulent promises that can compromise the process.

Staying updated and relying on official sources is essential for making informed and secure decisions in the field of immigrant investments.

Victoria Harper

Editor-in-Chief

Meet the author

Leading journalism and editorial content at Visto n’ Visa, Victoria helps make immigration topics clear, trustworthy, and easy to understand. Her focus is on delivering useful, human, and relevant content for people exploring new paths abroad.