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 1,069,254 491,773 17.2% $314,839 1,367
Florida 1,045,632 474,630 19.8% $326,268 1,816
California 1,024,266 509,394 17.6% $507,185 992
North Carolina 494,037 256,452 17.3% $282,290 1,113
Georgia 478,245 227,651 18.5% $359,941 1,053
Ohio 461,038 246,162 17.3% $203,839 970
Pennsylvania 446,744 245,951 18.4% $214,840 1,020
Illinois 394,313 203,788 16.5% $268,104 1,026
New York 383,754 208,864 19.4% $458,293 624
Michigan 370,726 204,020 18.4% $194,093 859
Virginia 351,125 182,949 15.5% $334,702 889
Arizona 324,331 167,109 15.6% $327,083 975
New Jersey 323,581 156,457 18.0% $369,919 771
Tennessee 310,183 159,917 16.1% $281,110 1,142
Indiana 293,086 162,593 15.9% $205,507 900
Washington 277,281 153,283 15.7% $423,499 729
Colorado 267,521 143,020 15.7% $393,195 957
South Carolina 258,143 127,087 17.5% $273,823 998
Missouri 242,730 131,057 14.0% $219,840 889
Maryland 235,523 116,858 17.3% $327,034 735
Massachusetts 214,964 119,540 16.6% $411,815 675
Wisconsin 214,597 137,403 13.9% $214,788 840
Alabama 211,368 104,226 18.9% $210,925 864
Minnesota 187,642 112,451 12.7% $256,650 779
Kentucky 168,722 89,015 18.6% $205,001 746
Utah 155,000 87,229 15.4% $341,579 510
Oklahoma 147,433 72,278 16.1% $211,528 721
Oregon 143,369 78,000 15.2% $328,753 611
Louisiana 139,530 62,438 21.0% $208,441 590
Nevada 132,282 65,895 16.6% $342,786 529
Arkansas 123,327 59,080 17.4% $201,750 679
Connecticut 121,696 66,843 17.8% $308,276 600
Iowa 110,224 67,732 12.1% $181,167 668
Mississippi 106,666 49,576 21.8% $172,595 576
Kansas 94,784 53,717 14.3% $220,549 648
Idaho 85,114 47,846 14.7% $307,487 495
New Mexico 73,845 36,443 18.2% $232,283 485
Nebraska 67,459 38,405 12.3% $220,669 474
Maine 54,907 31,816 16.1% $255,267 459
West Virginia 54,379 27,172 20.7% $180,895 470
New Hampshire 53,693 30,187 17.5% $298,374 447
Delaware 48,787 24,283 17.6% $274,660 479
Rhode Island 41,964 22,697 19.4% $293,193 390
Montana 35,594 19,432 15.0% $333,206 447
Hawaii 32,060 16,087 22.4% $568,978 261
South Dakota 26,740 15,907 12.6% $250,881 311
Puerto Rico 22,815 12,657 14.8% $177,539 63
Wyoming 21,230 11,296 14.8% $279,438 341
North Dakota 20,737 13,103 10.8% $237,313 266
Alaska 19,671 10,603 14.1% $312,476 207
Vermont 19,538 11,753 15.2% $260,021 243
District of Columbia 16,963 8,399 17.4% $648,765 387
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.

Data source: CFPB HMDA 2024 Snapshot National Loan-Level Dataset. Sorted by application volume descending. State geography per U.S. Census Bureau FIPS standards. This data is provided for informational purposes only.

Download the state-level HMDA extract cited on this page: hmda-mortgage-statistics.csv (CC BY 4.0).

Every figure on PlainLender is rendered directly from CFPB HMDA federal source data, no number is typed in by an editor. State rows aggregate HMDA-filed applications, originations, and denial rates for lenders active in each jurisdiction; lender counts are reporters with ≥1 application in that state, not headquarters. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error. Data current as of 2024. HMDA figures are lender-filed application outcomes for a published reporting year - not creditworthiness scores, rate quotes, Loan Estimates, underwriting decisions, or mortgage advice.