Applications / Mortgage Analytics / Lenders / Kansas / Armed Forces Bank
Fort Leavenworth, KS · National bank · OCC · $1.4 billion assets · 1,339 loans in 2025
Armed Forces Bank's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
1,339
loans originated, 2025
2,342
applications, 2025
50
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Armed Forces Bank is a nationwide VA lender: loans guaranteed by the Department of Veterans Affairs were 72.1% of its 2025 lending, against 1.1% at similar banks, across 50 states.
VA loans were 72.1% of its lending and conventional loans 23.5%, against 95.9% conventional at similar lenders (national banks making between half and twice as many loans). Its typical loan, $405,000, was larger than at nearly all of them, where it was $205,000. Home purchases were 75.0% of its loans.
It lent in 50 states, 239 metros and 540 counties. Its largest market is Washington-Arlington-Alexandria, where it ranked 191 of 757; in Kansas City, a market since before 1990, it ranked 92 of 659 with 0.2%. Originations rose 12% to 1,339, against 10% at similar lenders, and up from 812 five years before.
Its typical rate, 6.12%, was lower than at about nine in ten similar lenders, against 6.62%. Only 0.1% of its loans were higher-priced (a rate well above the average for similar loans), against 1.3%.
LMI (low- and moderate-income) borrowers took 16.8% of its loans, against 27.4% at similar lenders, among the lowest tenth. Its large typical loan and a borrower base spread across the country are possible reasons. Majority-minority areas took 19.3% of its loans, against 8.1%, higher than about eight in ten similar lenders.
Questions the data can answer next
Similar lenders: same lender type, originations between half and twice the lender's in the data year. Written from the 2025 HMDA data and checked figure by figure against it.
FIG. 1 — LOANS ORIGINATED, 2018–2025
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Armed Forces Bank took 2,342 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 75.0% · Refinance 23.9% · Other 1.1%
VA 72.1% · Conventional 23.5% · FHA 4.3% · USDA (RHS or FSA) 0.1% · of 1,339 loans. Purchase: buying a home. Refinance: replacing an existing mortgage, including cash-out. FHA: insured by the Federal Housing Administration. VA: guaranteed by the Department of Veterans Affairs. Conventional: neither.
SOURCE: FFIEC HMDA 2025, LOANS ORIGINATED
Where it lends, 2025
| State | Loans | Share |
|---|---|---|
| Virginia | 128 | 9.6% |
| Texas | 115 | 8.6% |
| Kansas | 88 | 6.6% |
| Missouri | 71 | 5.3% |
| North Carolina | 67 | 5.0% |
| Florida | 61 | 4.6% |
| Arizona | 59 | 4.4% |
| Georgia | 55 | 4.1% |
| California | 48 | 3.6% |
| Maryland | 46 | 3.4% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Kansas City | 93 |
| Virginia Beach-Chesapeake-Norfolk | 81 |
| Phoenix-Mesa-Chandler | 50 |
| Arlington-Alexandria-Reston | 41 |
| Minneapolis-St. Paul-Bloomington | 36 |
| Las Vegas-Henderson-North Las Vegas | 25 |
| San Antonio-New Braunfels | 22 |
| Baltimore-Columbia-Towson | 20 |
| Houston-Pasadena-The Woodlands | 20 |
| Manhattan | 20 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 5493007CLWQN2S6IZK91 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 983457 | 2004–2023 |
| Respondent ID (the HMDA filer code before 2018) | 18796 | 1990–2017 |
Established 1 January 1907. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: Armed Forces Bank's data.
Armed Forces Bank's data
$215
Armed Forces Bank and its peers, 2018–2025: every application in the HMDA data, cleaned and corrected, as Parquet files, with the Jenner programs that made these pages.
Buy Armed Forces Bank's data, $215Jenner Mortgage Analytics: all the data
$2,110
Every mortgage application reported under HMDA from 1990 to 2025, cleaned and corrected, every lender followed across name changes and mergers, with the market-share and fair-lending tables behind these pages and the Jenner programs that built them: the warehouse and the datamart, as Parquet files.
Buy the data, $2,110Jenner, the SAS-compatible software
See prices
Jenner runs programs written in the SAS language. It drew every chart on these pages and fitted the fair-lending model, PROC GLIMMIX on 3.5 million applications. Run the programs that come with the data, or your own.
Get JennerQuestions, or the data and Jenner together: [email protected]