Most people think about their Social Security number only when a form asks for it or when an identity-theft warning flashes across the screen. Behind those nine digits lies a structure the government once published routinely and later made difficult to access. The SSN Area Group project, created by researcher Del Andujar, attempts to rebuild that structure in one place, offering a reference for issuance patterns without linking to anyone’s personal identity. The work raises an interesting question: can transparency around government-controlled identity data exist without compromising privacy? Del Andujar When Government Data Goes Hard to Reach The premise is straightforward: was an SSN likely issued when and where someone claims? Until a few years ago, researchers could answer that by checking historical “Area Number Issuance Tables,” which the Social Security Administration produced from 1963 to 2011. Those tables linked the first digits of an SSN to the state and approximate year of issuance. Today, the official archive is no longer publicly accessible online. Verification now usually requires paid SSA services or scattered unofficial sources. For anyone working with historical datasets, fraud analysis, or demography, that absence created a noticeable gap. Why One Researcher Rebuilt the Map Cybersecurity researcher Del Andujar noticed this gap while working on related issues in data transparency. Instead of attempting to retrieve sensitive information or bypass restrictions, he searched for copies of the original public documents. Over months, he located the historical tables from 1936 to 2011 in fragmented archives—files that were technically public but not realistically discoverable for most people. The outcome became the SSN Area Group database, an open reference of issuance patterns. It does not include full SSNs, names, or any personal identifiers. Instead, it restores the missing context: which geographic regions corresponded to the first digits of an SSN and which periods those codes were active. Transparency Without Turning People Into Targets Publishing anything related to SSN structures risks raising concerns, but this project focuses strictly on patterns, not individuals. It mirrors the information the government once distributed widely but no longer maintains in an accessible format. The data allows researchers, journalists, and investigators to check whether a number’s prefix aligns with the historical rules—without touching private records or obtaining sensitive details. That distinction reflects a broader shift in how people approach identity systems. Transparency doesn’t always require exposure. Sometimes it simply means restoring documentation that institutions allowed to fade out of reach. What Accessible SSN Patterns Can Reveal Pattern-level data has several practical uses. Researchers comparing historical datasets can flag inconsistencies where SSN prefixes don’t match the claimed state or year.Fraud analysts can use the information as one layer—never the only layer—when spotting fabricated identities.Educators can demonstrate how pre-2011 SSN structures worked before the introduction of randomized numbering. Researchers comparing historical datasets can flag inconsistencies where SSN prefixes don’t match the claimed state or year. Fraud analysts can use the information as one layer—never the only layer—when spotting fabricated identities. Educators can demonstrate how pre-2011 SSN structures worked before the introduction of randomized numbering. The database is not a replacement for official SSA verification. Instead, it serves as an additional checkpoint for understanding how identity numbers were structured and why certain anomalies appear. Data Ethics From Outside Institutions Projects dealing with identity systems typically originate from government bodies or large institutions. The SSN Area Group effort shows that independent researchers can also contribute to data ethics by piecing together public records and documenting the process openly. By rebuilding a reference the public once had, the project highlights a broader point: it’s possible to make government-controlled identity data easier to understand while respecting privacy boundaries. For anyone interested in the mechanics of identity systems, that balance is a meaningful part of the discussion. This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program. This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program.
