How Does Seattle Measure Economic Fallout When Tech and Non-Tech Layoffs Are Worlds Apart?

Seattle seems like a uniquely difficult place to forecast economically because our labor market has such extreme peaks and valleys.

A layoff at Amazon, Microsoft, Google, or Meta can involve 6–12 months of severance, PTO payouts, vested stock, and substantial savings. A layoff at a nonprofit, retail business, restaurant, construction firm, or small local employer may involve little or no severance at all.

Yet both workers ultimately show up as a single job loss in labor statistics.

That makes me wonder how Seattle, King County, and Washington State evaluate the actual economic consequences of layoffs.

My own organization recently went through layoffs ahead of a July 1 fiscal year. Departing employees received a one-time $500 severance payment and lost benefits immediately afterward. Compare that to someone receiving months of severance and stock compensation from a major tech employer, and the financial trajectory is completely different.

It seems like our region’s unusually large gap between tech compensation and everyone else’s compensation could make traditional averages less useful. One group may maintain spending patterns for many months after a layoff, while another may immediately need unemployment benefits, food assistance, or other support.

So I’m curious:

• Do any of our local labor agencies track or estimate the impact of severance packages when forecasting unemployment claims and trust fund sustainability?
• Are delayed unemployment claims from highly compensated workers a known challenge for forecasting?
• Does the state collect any meaningful data on severance agreements, or are policymakers essentially blind to that part of the picture?
• What indicators do economists watch to determine when layoffs begin turning into broader economic consequences for Seattle?

It feels like there’s a significant difference between measuring layoffs and measuring the consequences of layoffs, especially in a region where the gap between a tech layoff and a non-tech layoff can represent hundreds of thousands of dollars in household resources.

I’d love to hear from economists, workforce development professionals, Employment Security folks, policy analysts, or anyone who works with Seattle-area labor market data.