Applications / Mortgage Analytics / Lenders / South Carolina / CPM Federal Credit Union
North Charleston, SC · Credit union · NCUA · $701 million assets · 606 loans in 2025
CPM Federal Credit Union's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
606
loans originated, 2025
899
applications, 2025
6
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
CPM Federal Credit Union is a South Carolina credit union whose lending is mostly home improvement and other purposes, and it grew faster than most similar lenders in 2025.
Other purposes were 36.1% of its loans and home improvement 31.8%; refinances were 17.2% and home purchases 14.9%. All of its lending was conventional. Its typical loan was $105,000, the same as at similar lenders (credit unions making between half and twice as many loans), and up from $85,000 the year before.
Originations rose 18% to 606, while similar lenders grew 6% and the whole market 10%. That is about double its 312 loans of 2020, and the third year of growth since 208 in 2022.
Loans in majority-minority areas were 17.7% of its total, against 10.9% at peers, and up from 10.9% five years before. Its share in LMI (low- and moderate-income) areas, 17.0%, was also above peers' 15.1%.
It held 0.6% of Hilton Head Island-Bluffton-Port Royal, ranking 45 of 489 lenders, and 0.4% of Greenville-Anderson-Greer. In Spartanburg its share fell 0.2 points to 0.4%; with so small a share, a few loans more or fewer could account for that.
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. CPM Federal Credit Union took 899 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Other 36.1% · Home improvement 31.8% · Refinance 17.2% · Purchase 14.9%
Conventional 100.0% · of 606 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 |
|---|---|---|
| South Carolina | 580 | 95.7% |
| North Carolina | 13 | 2.1% |
| Georgia | 10 | 1.7% |
| Arizona | 1 | 0.2% |
| Florida | 1 | 0.2% |
| New Jersey | 1 | 0.2% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Greenville-Anderson-Greer | 239 |
| Hilton Head Island-Bluffton-Port Royal | 150 |
| Spartanburg | 99 |
| Charleston-North Charleston | 47 |
| Charlotte-Concord-Gastonia | 9 |
| Columbia | 5 |
| Savannah | 5 |
| Raleigh-Cary | 3 |
| Atlanta-Sandy Springs-Roswell | 2 |
| Augusta-Richmond County | 1 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300I3LFY4G7F9CE90 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 861582 | 2004–2023 |
| Respondent ID (the HMDA filer code before 2018) | 521971 | 1990–2017 |
Established 1 January 1955. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: CPM Federal Credit Union's data.
CPM Federal Credit Union's data
$215
CPM Federal Credit Union 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 CPM Federal Credit Union'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]