WOMEN'S ACCESS TO MORTGAGE LENDING IN NEW JERSEY

Report to New Jersey Citizen Action

May 12, 1997

INTRODUCTION


Project Overview

There has been a dramatic rise in female employment and in the growth of households headed by women. More and more, women are becoming major contributors to, or sole providers of, family incomes. New Jersey exemplifies these national trends, with one of every six families headed by women in 1990. One-fifth of the state’s 328,435 female-headed families reported incomes below the poverty line in 1989, compared with less than three percent of married-couple and male-headed families. However, as women take on more responsibility for families’ lifestyles, little is known about what role, if any, that gender plays in women’s ability to obtain mortgage credit.

This research is a descriptive study of women’s access to mortgage credit in New Jersey, commissioned by New Jersey Citizen Action (NJCA). NJCA is the largest statewide consumer’s coalition in New Jersey, made up of more than 75 affiliated organizations including community and church groups, labor unions, tenant, teacher and minority organizations. As part of its Community Reinvestment Act (CRA) monitoring and enforcement strategies, NJCA provides a comprehensive Loan Counseling service to assist low- and moderate-income families in obtaining home mortgage and home improvement loans. This program has helped many women make the transition from renting to homeownership: half of the program’s 723 participants in 1994 were women and 40 percent were single parents (mostly women).

The study was conducted to provide information to NJCA about women’s experiences in the mortgage lending market to allow the organization to better serve its clients.

Project Goals

The research goals of this project were as follows:

  1. To compute a quantitative analysis of New Jersey’s home purchase mortgage lending patterns by gender.
  2. To perform qualitative research on home purchase mortgage lending practices in New Jersey, focusing on women’s experiences in the home purchase mortgage lending process.
  3. To utilize both analyses to examine factors which may influence women’s access to home purchase mortgage credit.

Methodology

The quantitative research utilized the 1994 Home Mortgage Disclosure Act (HMDA) data for New Jersey to analyze home mortgage lending patterns by gender and other variables. The data was processed to examine both the statewide market and a sample of the fifty lending institutions with the highest amount of originations in the state that were covered by the Community Reinvestment Act (CRA). A number of relevant variables available in the HMDA data that were incorporated into the data analysis are detailed later in the report.

Qualitative research was conducted using two focus groups: one with NJCA loan counselors and a second with NJCA’s Loan Counseling program clients. The focus groups examined women’s experiences in the home mortgage lending market from the two perspectives.

Background

The New Jersey Citizen Action Loan Counseling Service

The NJCA Loan Counseling program is a community-based counseling initiative which serves low- and moderate-income people seeking to buy homes, usually first-time homebuyers. The program operates out of fourteen offices in low and moderate-income neighborhoods around the state. Loan counselors provide the following services for prospective home purchasers:

The Home Mortgage Disclosure Act

The Home Mortgage Disclosure Act, passed in 1975, requires lending institutions to provide detailed records of all applications for home purchase, home improvement and home refinancing loans. This disclosure allows regulatory agencies and fair lending advocates to pinpoint potential problems which may inhibit low and moderate-income people’s access to mortgage credit. HMDA statements can be used to monitor the behavior of various lending institutions, and/or to gauge the performance of the market as a whole.

HMDA requires that banks, mortgage companies, savings and loans, savings banks and credit unions with over $10 million in assets and at least one branch in metropolitan areas maintain Loan Application Registers (LARs). Mortgage companies that are owned by depository institutions or their holding companies are covered as well. LARs provide detailed data for all mortgage applicants, whether these applications were originated (granted) or denied (see Figure 1 on pag*for LAR database layout and explanation of fields). Lending institutions send LARs to regulating agencies annually. The HMDA data includes two databases: a compilation of the LARs from all lending institutions and an "institution name" database. The two databases are relational--the observer can examine a specific lender’s performance from the HMDA data.

HMDA data is typically examined via quantitative analysis and mapping. There are a number of "telltale signs" in the data which may indicate unfair lending practices either in the market as a whole, or on the part of individual lenders. These signs may include:

These indicators, as well as other noticeable patterns in the HMDA data (the above indicators incorporate only a few variables available from the LAR), may point to unfair lending practices.

Figure 1 - Loan Application Register Layout

Field Name

Purpose

Agency Code

Identifies Regulating Agency

Respondent ID

Lender ID Code

Loan Type

Conventional Loan or Government Insured (i.e. veterans)

Loan Purpose

Home Purchase, improvement or refinance

Occupancy

Indicates whether the purchaser occupy the dwelling

Action Type

Loan originated; approved but not accepted (applicant did not receive loan by his/her own choice); denied; withdrawn by applicant; closed for incompleteness; or purchased by institution (present holder not involved in the loan processing).

Reported MSA

Reported Metro Statistical Area of property to be purchased

Loan Amount

Amount of Loan Applied for

State Code

FIPS State Code of property

County Code

FIPS County Code of property

Census Tract Number

Census tract of property

Applicant Race

5 Designated categories plus "Other, not provided and not applicable"

Sex

Male, female, not provided, not applicable

Applicant Income

Income provided in thousands

Purchaser Type

Identifies purchaser in the secondary market (if applicable)

Denial Reason 1

Identifies 1 denial reason from 8 categories and "other," if applicable

Denial Reason 2

Same as above

Denial Reason 3

Same as above

Population

Population of tract location

Minority Population

Non-white population of tract location

Minority Population %

% of Minority Population in tract

Median Income

Median Income of tract

Tract to MSA Income %

% of Income in the tract compared to total income for the entire MSA

Owner Occupied Units

Number of all owner-occupied units in tract

Family Units

Number of units housing 2 or more related persons in tract



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