Housing Has Crashed
Why It Matters
Lumber’s stagnant price reveals a transaction‑driven housing collapse, warning of reduced construction activity and heightened affordability pressures for the broader economy.
Key Takeaways
- •Lumber prices hover $550‑$600 per thousand, showing weak demand.
- •Housing crash reflects collapsing transactions, not merely falling home prices.
- •Builders can't profit on cheap starter homes due to high construction costs.
- •Lumber comprises under 10% of total home cost, limiting impact.
- •Falling permit issuances signal reduced new builds and broader economic slowdown.
Summary
The video examines why lumber prices have stagnated around $550‑$600 per thousand board feet and argues that this stability signals a deeper collapse in housing transactions rather than a simple price correction. The presenter emphasizes that the real housing crash is a transaction crash: builders are seeing far fewer sales, which depresses demand for lumber and other construction inputs.
Key points include the disconnect between soaring construction costs—$400‑$700 k to build an average home—and average wages, making affordable starter homes unprofitable for developers. Lumber, while a visible commodity, represents less than ten percent of total home costs, so even dramatically cheaper wood would not resolve the affordability gap. Permit issuances have been on a downward trend, reinforcing the narrative of stalled new‑build activity.
Notable remarks underscore the market reality: “The housing crash is in transactions, not pricing,” and builders are forced to either sell at thin margins or halt projects altogether. The speaker also highlights that government proposals to open forest lands or lower lumber prices would have negligible effect on overall home‑building economics.
The broader implication is that lumber now serves as a leading indicator of a prolonged slowdown in the construction sector and, by extension, the U.S. economy. Investors, policymakers, and developers should monitor lumber demand and permit data as early warnings of reduced housing supply, persistent affordability challenges, and potential credit stress among builders.
Comments
Want to join the conversation?
Loading comments...