
Key takeaways
- May 2026 recorded 291,000 multifamily starts and June recorded 513,000 at annual rates.
- Monthly annualized readings can move sharply.
- Project-level evidence is required before a local supply conclusion.
Source record
8 cited sources
Last verified
2026-08-06
In this article
The latest multifamily starts reading
The FRED series for privately owned housing units started in structures with five or more units recorded a seasonally adjusted annual rate of 513,000 in June 2026, after 291,000 in May. These are annualized rates, not units completed during the month.
Why the month can mislead
Construction starts are an early pipeline signal. A single month can move because of timing, sampling, or seasonal adjustment. Review a multi-month pattern, then check the units under construction series and local project records.
Rental portfolio application
List projects by submarket, planned unit count, building type, permit status, start evidence, and expected delivery source. Keep national data in the context column. Do not use it as a substitute for local competitor research.
Method and limits
The data comes from FRED HOUST5F and the Census New Residential Construction program. Census methodology, revisions, and seasonal adjustment matter. The five-or-more-unit category is not identical to every multifamily definition used in local reporting.
Frequently asked questions
Does a start mean the units will be delivered soon?
No. It marks the beginning of construction under the survey definition, not a guaranteed completion date.
What should an investor verify locally?
Verify permits, construction status, unit mix, expected delivery, and current competing inventory.
Sources and verification dates
- FRED: New Privately-Owned Housing Units Started, Five or More Units, accessed August 6, 2026.
- U.S. Census Bureau: New Residential Construction, accessed August 6, 2026.
- U.S. Census Bureau: Construction Surveys Methodology, accessed August 6, 2026.
Ready to compare supply?
Use property management to keep local project evidence tied to the operating assumptions it may affect.