Socotra Capital, Inc. Mortgage Lending & HMDA Data, 2019

In 2019, Socotra Capital, Inc. of Sacramento, CA reported 49 mortgage applications totaling $16.8 million, down 36% from 2018. The average application was for $343,163, and applicants reported an average income of $100,000. 100% of its applications resulted in an originated loan and 0% were denied. Its largest markets were Sacramento--Roseville--Arden-Arcade, CA (18), Fresno, CA (5) and Oakland-Hayward-Berkeley, CA (3) (applications in parentheses).

Mortgage Company & Address Socotra Capital, Inc.
2208 29th Street, Suite 100
Sacramento, CA 95817
Tel #: available with data download
Federal Regulator * available with data download
Years 2019  2018  2017  
Total Number of Mortgage Applications 49
Total Mortgage Loan Application Amount $16,815,000
Average Mortgage Loan Application Amount $343,163
Highest Mortgage Loan Application Amount $2,475,000
Average Applicant Income $100,000
Highest Applicant Income $100,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records Socotra Capital, Inc. filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans. Applications reported at $100 million or more are left out of these totals.

Mortgage Loan Application Totals for Socotra Capital, Inc. by Metropolitan Area in 2019

Metro Area Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Application Amount Average Applicant Income
Sacramento--Roseville--Arden-Arcade, CA 18 $ 3,990,000 $ 221,666 $ 100,000
Fresno, CA 5 $ 545,000 $ 109,000 $ 100,000
Outside any metro area 4 $ 1,520,000 $ 380,000 $ 100,000
Oakland-Hayward-Berkeley, CA 3 $ 1,595,000 $ 531,666 $ 100,000
Yuba City, CA 3 $ 635,000 $ 211,666 $ 100,000
Las Vegas-Henderson-Paradise, NV 2 $ 790,000 $ 395,000 $ 100,000
Los Angeles-Long Beach-Glendale, CA 2 $ 630,000 $ 315,000 $ 100,000
Merced, CA 2 $ 220,000 $ 110,000 $ 100,000
Salinas, CA 2 $ 500,000 $ 250,000 $ 0
Bakersfield, CA 1 $ 2,475,000 $ 2,475,000 $ 0
Modesto, CA 1 $ 295,000 $ 295,000 $ 100,000
Riverside-San Bernardino-Ontario, CA 1 $ 125,000 $ 125,000 $ 100,000
San Francisco-Redwood City-South San Francisco, CA 1 $ 1,485,000 $ 1,485,000 $ 0
San Jose-Sunnyvale-Santa Clara, CA 1 $ 1,355,000 $ 1,355,000 $ 0
Seattle-Bellevue-Everett, WA 1 $ 325,000 $ 325,000 $ 0
Stockton-Lodi, CA 1 $ 205,000 $ 205,000 $ 100,000
Vallejo-Fairfield, CA 1 $ 125,000 $ 125,000 $ 0

Mortgage Loan Application Detail Totals for Socotra Capital, Inc. in 2019

Loan Purpose

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Home Purchase 29 $10,005,000 $345,000 $2,475,000 $100,000 $100,000
Cash-out Refinancing 18 $5,830,000 $323,000 $1,485,000 $100,000 $100,000
Refinancing 2 $980,000 $490,000 $875,000 $100,000 $100,000
Home Improvement 0 $0 $0 $0 $0 $0
Not Applicable 0 $0 $0 $0 $0 $0
Other Purpose 0 $0 $0 $0 $0 $0

Applicant Race

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Not Provided 28 $10,650,000 $380,000 $2,475,000 $100,000 $100,000
White 11 $2,425,000 $220,000 $605,000 $100,000 $100,000
Not applicable 1 $165,000 $165,000 $165,000 $0 $0
Hispanic 1 $275,000 $275,000 $275,000 $0 $0
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Asian 0 $0 $0 $0 $0 $0
Black or African American 0 $0 $0 $0 $0 $0

Loan Type

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Conventional (any loan other than FHA, VA, FSA, or RHS loans) 49 $16,815,000 $343,000 $2,475,000 $100,000 $100,000
FHA-insured (Federal Housing Administration) 0 $0 $0 $0 $0 $0
FSA/RHS (Farm Service Agency or Rural Housing Service) 0 $0 $0 $0 $0 $0
VA-guaranteed (Veterans Administration) 0 $0 $0 $0 $0 $0

Outcome

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Loan Originated 49 $16,815,000 $343,000 $2,475,000 $100,000 $100,000
Loan Purchased By The Institution 0 $0 $0 $0 $0 $0
Preapproval Approved but not Accepted 0 $0 $0 $0 $0 $0
Preapproval Denied by Financial Institution 0 $0 $0 $0 $0 $0
Application Approved But Not Accepted 0 $0 $0 $0 $0 $0
Application Denied By Financial Institution 0 $0 $0 $0 $0 $0
Application Withdrawn By Applicant 0 $0 $0 $0 $0 $0
File Closed For Incompleteness 0 $0 $0 $0 $0 $0

Denial Reason

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Not applicable 49 $16,815,000 $343,000 $2,475,000 $100,000 $100,000
Other 0 $0 $0 $0 $0 $0
Unverifiable Information 0 $0 $0 $0 $0 $0
Collateral 0 $0 $0 $0 $0 $0
Credit Application Incomplete 0 $0 $0 $0 $0 $0
Credit History 0 $0 $0 $0 $0 $0
Debt-To-Income Ratio 0 $0 $0 $0 $0 $0
Employment History 0 $0 $0 $0 $0 $0
Insufficient Cash (Downpayment, Closing Cost) 0 $0 $0 $0 $0 $0
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into Socotra Capital, Inc.'s 2019 lending activity. By analyzing detailed data on mortgage applications, total loan amounts, applicant incomes, loan purposes, and approval rates, industry professionals, researchers, and analysts can gain a clear understanding of this lender's role in the mortgage market.

This in-depth HMDA data allows real estate experts, financial analysts, and policymakers to track lending trends, evaluate borrower demographics, and assess Socotra Capital, Inc.'s mortgage approval patterns. Utilize this powerful dataset to analyze market performance, compare lending practices, and make data-driven decisions in the ever-changing mortgage industry.
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