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FRC Intelligence · The 2025 Edition · 320 metros

FHA denial rates by metro area, 2025.
The only free FHA-specific metro table.

Computed from the complete 2025 federal HMDA record: every FHA application reaching a credit decision, aggregated to 320 metropolitan areas and divisions. Among the 215 metros with at least 1,000 decisioned applications, the denial rate ran from 8.9% in Amarillo, TX to 31.8% in Bridgeport-Stamford-Norwalk, CT — a 3.6× spread by geography alone, before a single lender is chosen.

The metro small-loan penalty: the loan-size gap seen at the state level sharpens at metro resolution. In El Paso, TX, a small FHA application (<$150K) was denied 3.61× as often as a large one (32.1% vs 8.9%) in 2025 — the widest measured metro penalty. Existing metro-level mortgage studies track approvals or demographics; none publishes the FHA loan-size axis. This table does.

The extremes (metros with 1,000+ applications)

Hardest five:

Softest five:

Biggest small-loan penalties:

The spread lives inside your city: in Cleveland, OH, the five highest-volume FHA doors ranged from 6.3% (CrossCountry) to 80.1% (AmeriSave) denial in 2025 — a 73.8-point gap inside one metro. Pittsburgh: 72.7 points. The lender choice moves your odds more than the city does.

The 60 largest FHA metros

Metro / divisionDecisioned appsDenial rateSmall-loan denialSmall-loan penalty
Houston-The Woodlands-Sugar Land, TX34,30217.7%33.8%1.99×
Atlanta-Sandy Springs-Roswell, GA30,94827.2%51.1%2.19×
Phoenix-Mesa-Scottsdale, AZ27,91217.9%39.9%2.45×
Dallas-Plano-Irving, TX23,03017.1%34.5%2.20×
Riverside-San Bernardino-Ontario, CA21,62020.9%43.4%2.18×
Chicago-Naperville-Evanston, IL17,89629.7%48.1%1.92×
Tampa, FL15,88621.6%44.9%2.35×
Orlando-Kissimmee-Sanford, FL15,13124.2%43.4%1.97×
San Antonio-New Braunfels, TX14,81716.3%28.7%1.97×
Charlotte-Concord-Gastonia, NC-SC13,88121.7%40.7%2.16×
Los Angeles-Long Beach-Glendale, CA12,93023.6%50.6%2.22×
Denver-Aurora-Lakewood, CO12,61422.3%42.5%1.99×
Indianapolis-Carmel-Anderson, IN12,10023.4%36.0%1.76×
Fort Worth-Arlington, TX11,64516.4%29.2%1.85×
Las Vegas-Henderson-Paradise, NV11,44617.7%37.0%2.31×
Baltimore-Columbia-Towson, MD11,03223.4%44.8%2.24×
Nashville-Davidson--Murfreesboro--Franklin, TN10,94119.2%42.0%2.53×
St. Louis, MO-IL10,55020.9%32.4%2.27×
Lakeland-Winter Haven, FL9,69825.7%41.5%1.69×
Cincinnati, OH-KY-IN9,56821.1%35.4%2.15×
Jacksonville, FL9,41722.0%40.8%2.14×
Austin-Round Rock, TX8,68415.4%33.9%2.44×
Kansas City, MO-KS8,66019.5%34.3%2.32×
Columbus, OH8,56522.0%38.6%2.06×
Minneapolis-St. Paul-Bloomington, MN-WI8,38221.3%40.6%2.17×
Cleveland, OH8,13224.9%36.7%1.92×
Washington, DC-MD8,08826.7%55.6%2.22×
Warren-Troy-Farmington Hills, MI7,64827.5%37.4%1.61×
Marietta, GA7,53021.0%43.1%2.34×
New York-Jersey City-White Plains, NY-NJ7,51628.1%59.2%2.18×
Oklahoma City, OK7,26719.1%36.2%2.22×
Virginia Beach-Norfolk-Newport News, VA-NC7,24721.1%43.2%2.44×
Miami-Miami Beach-Kendall, FL7,22729.2%66.7%2.48×
Detroit-Dearborn-Livonia, MI7,13930.6%38.8%1.64×
Cape Coral-Fort Myers, FL7,10223.2%47.6%2.28×
Arlington-Alexandria-Reston, VA-WV7,07323.3%
Memphis, TN-MS-AR6,83423.9%43.4%2.58×
Fort Lauderdale-Pompano Beach-Deerfield Beach, FL6,73231.5%75.1%2.64×
Louisville/Jefferson County, KY-IN6,67321.5%39.8%2.52×
Pittsburgh, PA6,59426.0%35.7%1.83×
Sacramento--Roseville--Arden-Arcade, CA6,57721.9%
Richmond, VA6,54622.1%45.5%2.50×
Philadelphia, PA6,48427.3%45.1%2.28×
Birmingham-Hoover, AL6,47322.8%41.5%2.53×
Portland-Vancouver-Hillsboro, OR-WA6,36517.5%41.5%2.59×
Camden, NJ6,16722.2%42.8%2.26×
San Juan-Carolina-Caguas, PR6,04216.9%18.0%1.21×
Lakewood-New Brunswick, NJ5,95624.1%38.9%1.72×
Providence-Warwick, RI-MA5,81121.1%44.5%2.31×
Newark, NJ-PA5,68126.3%
Greenville-Anderson-Mauldin, SC5,61519.6%35.8%2.14×
Tucson, AZ5,59918.9%38.8%2.59×
Raleigh, NC5,59620.8%38.6%2.16×
Columbia, SC5,38420.6%38.9%2.14×
Tulsa, OK5,34616.9%35.6%2.92×
Salt Lake City, UT5,15216.8%
Bakersfield, CA5,13620.1%39.2%2.24×
Deltona-Daytona Beach-Ormond Beach, FL5,05422.5%46.0%2.34×
North Port-Sarasota-Bradenton, FL5,01723.3%48.8%2.26×
Nassau County-Suffolk County, NY5,01421.7%

Full 320-metro dataset (CC BY 4.0): JSON · Hugging Face (one-line load). Rows in orange: small applications at least 2.5× likelier to be denied than large ones.

The loan-size penalty by state → By lender: all 100 → The Two Walls →