Mortgage Lending by State
Nationwide coverage: all 50 states, the District of Columbia, and U.S. territories (Puerto Rico, Guam, U.S. Virgin Islands), 54 jurisdictions in total, where HMDA-reporting lenders originated mortgages in 2024.
Coverage note: counts above 50 reflect U.S. states + DC + territories combined, not a claim of 50+ U.S. states. HMDA jurisdictional scope is defined by the U.S. Census Bureau FIPS coding system, which assigns codes to states, DC, and outlying territories alike.
State-level HMDA data aggregates all mortgage applications, originations, and denial rates reported by lenders operating within each jurisdiction during 2024. Sorted by application volume, jurisdictions with the most mortgage activity appear first. Click any state for demographics, top lenders, and county breakdowns.
| State | Applications | Originated | Denial Rate | Avg Loan | Lenders |
|---|---|---|---|---|---|
| Texas | 1,069,032 | 491,716 | 17.2% | $314,820 | 1,366 |
| Florida | 1,045,456 | 474,589 | 19.8% | $326,258 | 1,816 |
| California | 1,023,783 | 509,170 | 17.6% | $507,281 | 990 |
| North Carolina | 493,843 | 256,370 | 17.3% | $282,197 | 1,113 |
| Georgia | 478,124 | 227,610 | 18.5% | $359,934 | 1,053 |
| Ohio | 460,906 | 246,113 | 17.3% | $203,792 | 970 |
| Pennsylvania | 446,527 | 245,926 | 18.4% | $214,851 | 1,019 |
| Illinois | 394,104 | 203,770 | 16.5% | $268,167 | 1,026 |
| New York | 383,577 | 208,787 | 19.4% | $458,435 | 623 |
| Michigan | 370,616 | 203,987 | 18.5% | $194,086 | 859 |
| Virginia | 351,003 | 182,923 | 15.5% | $334,689 | 889 |
| Arizona | 324,293 | 167,105 | 15.6% | $327,071 | 975 |
| New Jersey | 323,471 | 156,392 | 18.1% | $369,966 | 770 |
| Tennessee | 310,047 | 159,911 | 16.1% | $281,070 | 1,142 |
| Indiana | 292,796 | 162,462 | 15.9% | $205,459 | 898 |
| Washington | 277,210 | 153,279 | 15.7% | $423,489 | 729 |
| Colorado | 267,434 | 143,013 | 15.7% | $393,172 | 957 |
| South Carolina | 258,079 | 127,052 | 17.5% | $273,782 | 998 |
| Missouri | 242,582 | 130,974 | 14.0% | $219,793 | 885 |
| Maryland | 235,444 | 116,805 | 17.3% | $327,030 | 734 |
| Massachusetts | 214,900 | 119,508 | 16.6% | $411,786 | 673 |
| Wisconsin | 213,989 | 137,301 | 13.9% | $214,536 | 840 |
| Alabama | 211,330 | 104,225 | 18.9% | $210,917 | 864 |
| Minnesota | 187,575 | 112,435 | 12.7% | $256,619 | 779 |
| Kentucky | 168,681 | 89,008 | 18.6% | $204,990 | 746 |
| Utah | 154,955 | 87,207 | 15.4% | $341,559 | 509 |
| Oklahoma | 147,049 | 72,214 | 16.2% | $211,635 | 720 |
| Oregon | 143,348 | 77,999 | 15.2% | $328,738 | 611 |
| Louisiana | 139,388 | 62,347 | 21.0% | $208,314 | 589 |
| Nevada | 132,252 | 65,892 | 16.6% | $342,780 | 529 |
| Arkansas | 123,228 | 59,041 | 17.4% | $201,501 | 677 |
| Connecticut | 121,672 | 66,840 | 17.8% | $308,264 | 600 |
| Iowa | 110,208 | 67,724 | 12.1% | $181,161 | 667 |
| Mississippi | 106,631 | 49,565 | 21.8% | $172,586 | 574 |
| Kansas | 94,530 | 53,667 | 14.3% | $220,449 | 645 |
| Idaho | 85,094 | 47,835 | 14.7% | $307,474 | 494 |
| New Mexico | 73,836 | 36,442 | 18.2% | $232,263 | 485 |
| Nebraska | 67,379 | 38,344 | 12.3% | $220,678 | 472 |
| Maine | 54,849 | 31,775 | 16.1% | $255,119 | 459 |
| West Virginia | 54,365 | 27,168 | 20.7% | $180,868 | 470 |
| New Hampshire | 53,683 | 30,185 | 17.5% | $298,297 | 447 |
| Delaware | 48,776 | 24,280 | 17.6% | $274,655 | 479 |
| Rhode Island | 41,962 | 22,697 | 19.4% | $293,185 | 390 |
| Montana | 35,587 | 19,431 | 15.0% | $333,180 | 447 |
| Hawaii | 32,059 | 16,087 | 22.4% | $568,960 | 261 |
| South Dakota | 26,718 | 15,894 | 12.6% | $250,754 | 310 |
| Puerto Rico | 22,790 | 12,640 | 14.8% | $177,573 | 63 |
| Wyoming | 21,223 | 11,293 | 14.8% | $279,365 | 341 |
| North Dakota | 20,726 | 13,102 | 10.8% | $237,293 | 266 |
| Alaska | 19,669 | 10,603 | 14.1% | $312,464 | 207 |
| Vermont | 19,531 | 11,750 | 15.2% | $260,051 | 243 |
| District of Columbia | 16,961 | 8,399 | 17.4% | $648,816 | 387 |
| Guam | 157 | 112 | 7.6% | $406,592 | 4 |
| U.S. Virgin Islands | 68 | 36 | 11.8% | $347,647 | 5 |
Frequently Asked Questions
Why do mortgage denial rates vary by state?
State-level denial rates reflect differences in median home prices relative to incomes, the mix of loan types (conventional vs. FHA vs. VA), the density of lenders in the market, foreclosure laws, and local economic conditions. States with high home prices and stagnant wages tend to produce more applications from buyers stretching to qualify, which can raise denial rates.
What does the lender count column show?
The lender count shows how many HMDA-reporting institutions had at least one loan application in that state during 2024. It does not represent lenders headquartered in the state, a national bank operating in 50 states would appear in every state's count.
Why are some US territories included in the state data?
HMDA reporting covers all US states plus territories where lenders with HMDA reporting obligations operate, including Puerto Rico, Guam, the US Virgin Islands, and others. The CFPB compiles territory data using the same methodology as states, making it comparable in structure even if volumes are smaller.
Why state-level views matter when shopping a mortgage
State-level HMDA aggregates are the single most useful map of mortgage market structure in the United States. Each state is, in practice, its own mortgage market: state-licensed lenders, state-specific consumer protection rules, state-recorded title and foreclosure procedures, and state-level pricing trends shaped by housing supply, in-migration, and the local economy. A national lender that ranks highly in California may have minor presence in West Virginia; a regional credit union dominating Texas may not lend a single dollar in Maine. Looking at the country one state at a time is the only honest way to compare lender availability for a real borrower whose address sits in exactly one state.
The application-volume column on this table is a proxy for market activity, not a quality grade. High-volume states (California, Texas, Florida) generate more applications because they have more people, more transactions, and higher median home values, meaning more borrowers crossing the conforming-loan threshold and triggering HMDA reportability. Low-volume jurisdictions reflect smaller populations or smaller housing stocks, not weaker lending markets. Within each state, the lender count column shows how many distinct HMDA reporters had at least one application that year, which is a rough but useful read on lender competition. States with more lenders typically see slightly tighter pricing as institutions compete for the same conforming-conventional loans.
Denial rates, average loan size, and what they jointly imply
Denial rates and average loan amounts move together in informative ways. A state with high median loan amounts and moderate denial rates suggests a market where lenders are comfortable underwriting larger loans, often an affluent, low-foreclosure-risk environment. A state with high average loan amounts and high denial rates suggests an affordability stretch, borrowers are applying for larger loans relative to local incomes than the underwriting box accepts. A state with low average loan amounts and high denial rates often signals a credit-stressed market with manufactured-housing or small-purchase activity producing thin underwriting margins.
Drilling into any specific state's page surfaces the lender breakdown within that state. The lender column shows who is actually originating loans in that geography, frequently a mix of national banks, regional banks, credit unions, and independent mortgage banks (IMBs). IMBs have become the largest single category of mortgage originator by volume nationally, but their state-by-state footprint varies dramatically because they target specific underwriting niches. PlainLender's per-state breakdowns make those distinctions visible.
Two practical disclaimers apply at the state level. First, HMDA data lags by a year, so a state-level snapshot describes the prior calendar year's activity, not current conditions. Second, state aggregates can mask intra-state variation: metro Atlanta and rural Georgia look like very different mortgage markets when split into county-level data, even though they share a state row in this table. Click through to county and metro pages when local detail matters for your search.