Where stock-market wealth physically lands
When a public company's stock rises, that equity wealth does not float in the abstract — it lands in the pockets of the company's employees, through RSUs, ESPP, and options. Those employees live near the company's offices. So a stock that quadruples is also a geographically–concentrated injection of housing–demand money into a handful of ZIP codes. This page estimates that flow — per office, per ZIP, per metro — for 37 major public & private employers across tech, chips, AI labs, and finance.
This is a model, not a measurement
The dollar figures below depend on assumed multipliers — average equity held per employee, how headcount splits across offices, and a participation haircut. Real stock prices and real 10–K headcounts go in; assumed comp and allocation rules shape the output. Treat the ranking of metros as far more reliable than the absolute dollars. All assumptions are stated in full below and in the data file's _meta.
The formula
Per office location, then summed to ZIP and metro.
estimated_stock_wealth_inflow =
employees_at_office
× equity_per_employee
× (stock_appreciation_factor − 1)
× participation_haircut
Metros by estimated stock-wealth inflow
Bubble area is proportional to estimated inflow. The Bay Area dominates by an order of magnitude — this is where the offices, the headcount, and the biggest 2021–26 stock runs all overlap.
Top metros — ranked
Estimated four–year (2021→2026) stock-wealth inflow, allocated employees, and the count of modeled employers.
| # | Metro | Est. wealth inflow | Share | Employees (modeled) | Employers |
|---|
Top ZIP codes — where it concentrates
The sharp end of the model: individual ZIP codes receiving the heaviest estimated equity-wealth inflow, joined to their housing economics.
| # | ZIP | City | Est. wealth inflow | Employers | Home value (ZHVI) | Median rent (ZORI) |
|---|
Company breakdown
Each modeled employer: real stock appreciation 2021→2026, modeled US headcount, and estimated total US stock-wealth inflow.
The investment read
High inflow → housing-demand pressure
A ZIP absorbing billions in fresh equity wealth has a population with unusual down-payment capacity and move-up budgets. That is structural demand for ownership housing — bidding power that does not show up in wage data because RSU gains are not W–2 base pay.
The top ZIPs here — Santa Clara, Mountain View, Redmond, Cupertino — already carry seven–figure ZHVI. The model explains why those values are sticky: the wealth feeding them keeps arriving with each vest cycle.
Where to look for the next leg
The interesting names are the secondary hubs — Austin, Raleigh–Cary, Columbus, Boise, Phoenix — where a large employer is routing growth headcount away from a maxed–out HQ. These metros receive concentrated inflow against a far lower home-value base, so the same dollars buy more demand per unit.
Cross–reference: a metro that is high on this list and still has investable DSCR on the AI/Chip fab map is where stock wealth and rental math line up.
Honest caveats — read before using any number
- Survivorship bias. This set is today's big winners. Employers whose stock fell, or that no longer exist, are absent — so the model overstates net equity wealth created across the economy. (Stocks that fell in our set contribute zero, not negative.)
- Equity is top-heavy. "Average equity per employee" is a fiction — executives and senior engineers hold many multiples of the median employee. The geographic shape survives this; the per-capita story does not.
- Sell-on-vest. Many employees sell RSUs the moment they vest. Paper appreciation is not all retained as household wealth. The participation haircut is a coarse, single-number proxy for this.
- Renters vs owners. Stock wealth becomes housing demand only for those who buy. For renters it raises rent–paying capacity instead — a different, weaker signal.
- Allocation is assumed. Headcounts are real (10–K) but global; the split across US offices is an HQ–weighted estimate. Satellite offices and remote staff are not geolocated.
- Private companies are guesses. OpenAI, Anthropic, xAI, and Scale AI have no public stock. Their "appreciation" is a stated assumed proxy for paper–value growth — not a market price.
- One window, one snapshot. Appreciation is measured 2021–01 → latest. A different window changes every magnitude on this page.