City Bank is a Texas state non-member bank that ranked 4 of 341 lenders in Lubbock, where it has lent since before 1990, and it leans far more on government-backed loans than similar lenders.
Government-backed lending far above peers
FHA loans (insured by the Federal Housing Administration) were 12.4% of its originations, against 1.5% at similar lenders (state non-member banks making between half and twice as many loans). VA loans (guaranteed by the Department of Veterans Affairs) were 8.3%, against 0.5%, higher than nearly all of them. Conventional loans were 79.1%, against 96.8%.
Fourth in Lubbock, behind two credit unions
It ranked 4 of 341 lenders in Lubbock, behind Texas Tech Federal Credit Union, Alliance Credit Union and T2 Financial, and its share rose 0.2 points to 4.8%. In Abilene, where it has lent since 1992, it ranked 6 of 251 with a share unchanged at 3.0%.
Fewer loans, more dollars
Originations fell 9% to 1,162 while similar lenders and the whole market rose 10%. The amount lent still rose, to $447.9 million from $419.7 million, as its typical loan grew to $265,000, against $195,000 at peers. A move toward larger loans, or more competition in its markets, are possible reasons for the fall.
Few LMI borrowers, many majority-minority areas
LMI (low- and moderate-income) borrowers took 12.9% of its loans, against 27.2% at peers, among the lowest tenth; its larger loans are one possible reason. Majority-minority areas took 36.8%, against 6.9%, higher than about nine in ten peers, and LMI areas 17.7%, against 14.8%.
Questions the data can answer next
Which Lubbock counties and tracts carry its share, and how have Texas Tech Federal Credit Union and Alliance Credit Union moved there?
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
1,162 loans in 2025, against a peak of 5,844 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. City Bank took 1,777 applications in 2025.
81.8% of its 2025 loans were purchase loans; 79.1% were Conventional.
Purchase 81.8% · Refinance 14.1% · Other 2.2% · Home improvement 1.9% Conventional 79.1% · FHA 12.4% · VA 8.3% · USDA (RHS or FSA) 0.3% · of 1,162 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
11 states, 33 metros, 112 counties
State
Loans
Share
Texas
1,103
94.9%
New Mexico
40
3.4%
Colorado
6
0.5%
Alabama
3
0.3%
Arkansas
3
0.3%
Florida
2
0.2%
Idaho
1
0.1%
Missouri
1
0.1%
North Carolina
1
0.1%
North Dakota
1
0.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Lubbock
262
Fort Worth-Arlington-Grapevine
142
El Paso
137
Dallas-Plano-Irving
111
Abilene
99
College Station-Bryan
74
Houston-Pasadena-The Woodlands
61
Midland
44
Austin-Round Rock-San Marcos
41
Beaumont-Port Arthur
16
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300VHBALPLHRR4080
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
575254
2004–2023
Respondent ID (the HMDA filer code before 2018)
325103
1990–2017
Established 13 April 1984. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: City Bank's data.
The data and the software behind these pages
City Bank's data
$215
City 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.
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.
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.