I’ve been reviewing LCA location data and came across a pattern worth flagging for discussion.
At 2018 156th Ave NE, Bellevue, WA 98007, I’m seeing a high concentration of separate employers all listing the same exact address as their worksite. On the visualization tool I’m using, the address resolves to ~40+ distinct entities clustered at the same coordinate.
A few observations:
• The address corresponds to a shared office / serviced workspace location (Regus / Bellevue Technology Center).
• That explains why multiple companies can legally register or receive mail there.
• However, in an H-1B LCA context, the issue is not registration — it’s whether an H-1B employee actually performs work at the listed site.
From a compliance standpoint, this raises several questions:
• Are these employers listing the address as a virtual or placeholder location?
• Do the LCAs reflect actual physical worksites where employees are present?
• Were proper posting notices completed at the real work locations if employees are elsewhere?
• Are wages being anchored to this location while work occurs at unlisted third-party sites?
I’m not making claims about intent or fraud. I’m pointing out a structural anomaly:
• Dozens of unrelated employers
• Same address
• Same geocode
• Same metropolitan wage area
• No obvious distinction by suite or floor in the filings I’ve reviewed
Individually, a shared office address can be legitimate. At this scale, it becomes harder to reconcile with normal office occupancy without additional facts.
I’m curious how others here evaluate:
• When shared-office density crosses from normal to suspect in LCA filings
• What indicators best distinguish legitimate coworking use vs. address-only usage
• Whether others have seen similar clustering patterns elsewhere
Interested in perspectives, especially from anyone with WHD, USCIS, or compliance experience.
So much corruption everywhere, hopefully citizens can help peel the layers of filthy corruption hiding beneath these scammers. Starting in local communities, get info, and trigger the investigation, use a junk email for results. Internet influencers should be all over this.
I’ve been reviewing LCA location data and came across a pattern worth flagging for discussion.
At 2018 156th Ave NE, Bellevue, WA 98007, I’m seeing a high concentration of separate employers all listing the same exact address as their worksite. On the visualization tool I’m using, the address resolves to ~40+ distinct entities clustered at the same coordinate.
A few observations: • The address corresponds to a shared office / serviced workspace location (Regus / Bellevue Technology Center). • That explains why multiple companies can legally register or receive mail there. • However, in an H-1B LCA context, the issue is not registration — it’s whether an H-1B employee actually performs work at the listed site.
From a compliance standpoint, this raises several questions: • Are these employers listing the address as a virtual or placeholder location? • Do the LCAs reflect actual physical worksites where employees are present? • Were proper posting notices completed at the real work locations if employees are elsewhere? • Are wages being anchored to this location while work occurs at unlisted third-party sites?
I’m not making claims about intent or fraud. I’m pointing out a structural anomaly: • Dozens of unrelated employers • Same address • Same geocode • Same metropolitan wage area • No obvious distinction by suite or floor in the filings I’ve reviewed
Individually, a shared office address can be legitimate. At this scale, it becomes harder to reconcile with normal office occupancy without additional facts.
I’m curious how others here evaluate: • When shared-office density crosses from normal to suspect in LCA filings • What indicators best distinguish legitimate coworking use vs. address-only usage • Whether others have seen similar clustering patterns elsewhere
Interested in perspectives, especially from anyone with WHD, USCIS, or compliance experience.
So much corruption everywhere, hopefully citizens can help peel the layers of filthy corruption hiding beneath these scammers. Starting in local communities, get info, and trigger the investigation, use a junk email for results. Internet influencers should be all over this.