Growing against the grain
Its loans rose 26% in 2025, to 72. Similar lenders, meaning non-banks making between half and twice as many loans, typically fell 4%, while the whole market rose 10%. It grew faster than about four in five of them.
Applications / Mortgage Analytics / Lenders / North Carolina / AgSouth Farm Credit
AgSouth Farm Credit
Statesville, NC · Independent non-bank lender · CFPB · 72 loans in 2025
AgSouth Farm Credit's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
72
loans originated, 2025
318
applications, 2025
3
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
AgSouth Farm Credit has rebuilt its small home-lending business since 2022, growing in 2025 while similar lenders shrank.
A recent push into new markets
The lender made just 12 loans in 2022, then 61 in 2023. That jump coincided with its entry into Greensboro-High Point and Durham-Chapel Hill in 2023, and into Hickory-Lenoir-Morganton and Burlington in 2024. It still ranks low everywhere: 210 of 762 lenders in non-metro North Carolina, its largest market, where State Employees' Credit Union leads.
Conventional loans only
Every loan it made was conventional, against 84.1% for similar lenders; it made no government-backed loans. Home purchases were 70.8% of its lending and refinances 25.0%. Its typical loan, $255,000, was a little smaller than peers' $285,000.
Some manufactured homes
Manufactured homes made up 9.7% of its loans, where the typical similar lender made none. Its share of loans in poorer neighborhoods (low- and moderate-income, or LMI, tracts), 19.4%, was close to peers' 18.7%.
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
72 loans in 2025, its most in any year since 2018.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. AgSouth Farm Credit took 318 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
70.8% of its 2025 loans were purchase loans; all were conventional loans.
Purchase 70.8% · Refinance 25.0% · Home improvement 4.2%
Conventional 100.0% · of 72 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
3 states, 12 metros, 37 counties
| State | Loans | Share |
|---|---|---|
| North Carolina | 51 | 70.8% |
| Georgia | 14 | 19.4% |
| South Carolina | 7 | 9.7% |
Largest metro areas, 2025
Loans originated
| Metro area | Loans |
|---|---|
| Charlotte-Concord-Gastonia | 18 |
| Greensboro-High Point | 8 |
| Columbia | 4 |
| Winston-Salem | 4 |
| Durham-Chapel Hill | 3 |
| Hickory-Lenoir-Morganton | 2 |
| Hinesville | 2 |
| Asheville | 1 |
| Burlington | 1 |
| Myrtle Beach-Conway-North Myrtle Beach | 1 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300LG73ZJO2VYV440 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 3074196 | 2010–2023 |
| Respondent ID (the HMDA filer code before 2018) | 7571100416 | |
| Respondent ID (the HMDA filer code before 2018) | 7582454771 | 1999–2005 |
Established date not on record. Reported under HMDA 1999-2025.
Mergers, name changes, data editions and corrections: AgSouth Farm Credit's data.
The data and the software behind these pages
AgSouth Farm Credit's data
$215
AgSouth Farm Credit 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 AgSouth Farm Credit'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]