Applications / Mortgage Analytics / Lenders / Massachusetts / Reading Co-Operative Bank
Reading, MA · State member bank · FRS · $1.2 billion assets · 127 loans in 2025
Reading Co-Operative Bank's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
127
loans originated, 2025
184
applications, 2025
2
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Reading Co-Operative Bank makes large loans, typically $505,000, lends in majority-minority areas more often than about four in five similar lenders, and grew 67% in 2025, the year it merged with Wakefield Co-Operative Bank.
Its typical loan of $505,000 is nearly three times the $175,000 of similar lenders (state member banks making between half and twice as many loans), and 15.4% of loans were jumbo (larger than the conforming limit), against 1.5% for peers, higher than more than nine in ten of them. Higher home prices in the Massachusetts markets it serves may explain much of this.
Loans rose 67%, from 76 to 127, faster than nearly all peers. The 2025 merger with Wakefield Co-Operative Bank may account for part of the rise. Volume is still about half the 269 of 2022.
Of its loans, 26.8% were in LMI (low- and moderate-income) areas against 16.4% for peers, and 20.5% in majority-minority areas against 5.1%, higher than about four in five similar lenders on both. Both shares have held near these levels for five years, which may reflect the communities around its branches. Its share to LMI borrowers, 27.7%, is near the middle of peers.
In Boston, where it has lent since 1992, it ranks 106 of 664 lenders. It also lends in Worcester, Barnstable Town and New Hampshire.
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Reading Co-Operative Bank took 184 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 52.8% · Refinance 31.5% · Home improvement 14.2% · Other 1.6%
Conventional 100.0% · of 127 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 |
|---|---|---|
| Massachusetts | 119 | 93.7% |
| New Hampshire | 8 | 6.3% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Cambridge-Newton-Framingham | 107 |
| Boston | 9 |
| Rockingham County-Strafford County | 5 |
| Worcester | 2 |
| Barnstable Town | 1 |
| Manchester-Nashua | 1 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300BNF48S5Z88UL34 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 1008674 | 2004–2023 |
| Respondent ID (the HMDA filer code before 2018) | 326620 | 1992–2010 |
| Respondent ID (the HMDA filer code before 2018) | 21008674 | 2011–2017 |
Established 1 January 1886. Reported under HMDA 1992-2025.
Mergers, name changes, data editions and corrections: Reading Co-Operative Bank's data.
Reading Co-Operative Bank's data
$215
Reading Co-Operative 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 Reading Co-Operative 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]