Housing Discrimination Against Racial and Ethnic Minorities 2012

by U.S. Department of Housing and Urban Development (HUD)

HOUSING DISCRIMINATION
AGAINST RACIAL AND
ETHNIC MINORITIES 2012
U.S. Department of Housing and Urban Development | Office of Policy Development and Research

Visit PD&R’s website
www.huduser.org
to find this report and others sponsored by HUD’s Office of Policy Development and Research (PD&R). Other services of
HUD USER, PD&R’s research information service, include listservs, special interest reports, bimonthly publications (best
practices, significant studies from other sources), access to public use databases, and a hotline (800-245-2691) for help
accessing the information you need.

HOUSING DISCRIMINATION
AGAINST RACIAL AND
ETHNIC MINORITIES 2012
Prepared for:
U.S. Department of Housing
and Urban Development
Washington, D.C.
Prepared by:
Margery Austin Turner
Rob Santos
Diane K. Levy
Doug Wissoker
Claudia Aranda
Rob Pitingolo
The Urban Institute
June 2013

ACKNOWLEDGMENTS
This project could not have been completed successfully without the commitment and hard work of
test coordinators, advance contact staff, testers, and other staff of the local testing organizations that
participated.
A panel of expert advisors made valuable contributions to our understanding of changes in rental and
sales housing markets, analysis of tester racial and ethnic identifiability, and other protocol design and
data analysis challenges. Panel members (and their organizational affiliations at the time of the study)
were John Baugh (Washington University); James Follain (James R. Follain, LLC); Fred Freiberg (Fair
Housing Justice Center); George Galster (Wayne State University); Carla Herbig (Department of Justice);
Anne Houghtaling (National Fair Housing Alliance, HOPE Fair Housing Center); William Loges
(Oregon State University); Stephen Ross (University of Connecticut); Greg Squires (George Washington
University); and Shanna Smith (National Fair Housing Alliance).
The authors also thank Urban Institute colleagues who contributed to the successful completion of
this research. Specifically, the regional coordinators worked closely with the local testing organizations
to ensure tests were conducted to the highest standards, and they provided valuable input to the full
research team on testing protocols and analysis. Coordinators included Rani Bush, Maurice Destouet,
Chris Healy, Katie Koopman, Thu Nguyen, and Sarale Sewell. David D’Orio designed the Web-based
data system used to enter and share testing information, and he developed and managed the process for
electronically sampling ads from online sources; Austin Nichols, Jenny Kenney, and Tim Waidmann
provided helpful advice on analysis issues; Matt Rogers drafted the site-specific research findings and
provided other editorial and research support; Tim Meko turned data into infographics to help better
convey findings; Fiona Blackshaw provided excellent editing and formatting services; and Tim Ware
assisted us throughout the study with project administration, including preparations for this final report.
Finally, Judson James and Carol Star from the U.S. Department of Housing and Urban Development’s
Office of Policy Development and Research provided excellent guidance and oversight throughout this
research effort.
Despite the generous contributions from these individuals and organizations, any errors and omissions
that may remain in this report are, of course, our own. All views expressed are those of the authors and
should not be attributed to the Urban Institute, its trustees, or its funders.

HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 vii
CONTENTS
ACKNOWLEDGMENTS
EXECUTIVE SUMMARY ��������������������������������������������������������������������������������������������������������������������������������������xi
I� INTRODUCTION ��������������������������������������������������������������������������������������������������������������������������������������������1
Background .......................................................................................................................................................1
Goals for the 2012 Housing Discrimination Study ...........................................................................................2
Strengths and Limitations of Paired Testing ......................................................................................................3
Organization of Report .....................................................................................................................................4
II� PAIRED TESTING PROTOCOLS AND FIELD MANAGEMENT ���������������������������������������������������������������5
Rental Testing Protocols ....................................................................................................................................6
Sales Testing Protocols ......................................................................................................................................8
Data Collection Oversight, Management, and Quality Control........................................................................9
III� SAMPLING AND ANALYSIS METHODS ���������������&#65533;����������������������������������������������������������������������������������13
Study Objectives ..............................................................................................................................................13
Sample of Metropolitan Areas .........................................................................................................................14
Sampled Sites and Targeted Tests ....................................................................................................................19
Actual Tests Conducted ..................................................................................................................................19
Sampling Available Housing ............................................................................................................................22
Analysis Weights .............................................................................................................................................24
Measuring Differential Treatment ...................................................................................................................27
Multivariate Analyses of the Correlates of Differential Treatment ...................................................................34
IV� INCIDENCE OF DISCRIMINATION ����������������������������������������������������������������������������������������������������������39
Rental Market Discrimination ........................................................................................................................39
Sales Market Discrimination ...........................................................................................................................50
V� VARIATIONS IN DISCRIMINATION ���������������������������������������������������������������������������������������������������������65
Change in Discrimination Over Time ............................................................................................................65
Metropolitan Estimates of Discrimination and Tests for the Influence of Housing Market Conditions ..........69
Identifiability of Minority Homeseekers ..........................................................................................................72
Multivariate Analysis of Variations in Discrimination .....................................................................................74
APPENDICES
Appendix A: HDS2012 Local Testing Organizations ......................................................................................79
Appendix B: Master List of Asian and Hispanic Subgroups ............................................................................81
Appendix C: Tester Characteristics .................................................................................................................85
Appendix D: Rental Forms ..............................................................................................................................89
Appendix E: Sales Forms ................................................................................................................................115
Appendix F: Metro-Specific Rental Estimates ...............................................................................................137
REFERENCES �����������������������������������������������������������������������������������������������������������������������������������������������������163

viii HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
LIST OF EXHIBITS
Exhibit ES-1: Minority Homeseekers Told About and Shown Fewer Housing Units ...........................................................xi
Exhibit ES-2: Call for Rental Appointment ........................................................................................................................ xiii
Exhibit ES-3: In-Person Meeting with Rental Housing Provider ........................................................................................xiv
Exhibit ES-4: Inspect Available Rental Units ......................................................................................................................xiv
Exhibit ES-5: Minority Renters Told About and Shown Fewer Housing Units ...................................................................xv
Exhibit ES-6: Call for Sales Appointment ............................................................................................................................xv
Exhibit ES-7: In-Person Meeting with Sales Agent ..............................................................................................................xvi
Exhibit ES-8: Inspect Available For-Sale Homes .................................................................................................................xvi
Exhibit ES-9: Minority Homebuyers Told About and Shown Fewer Housing Units .........................................................xvii
Exhibit ES-10: Long-Term Trends in Net Measures of Rental Discrimination ...................................................................xix
Exhibit ES-11: Recent Trends in Rental Discrimination ......................................................................................................xx
Exhibit ES-12: Long-Term Trends in Net Measures of Sales Discrimination .......................................................................xx
Exhibit ES-13: Recent Trends in Sales Discrimination ........................................................................................................xxi
Exhibit ES-14: Trends in Segregation of Whites from Blacks, Hispanics, and Asians ........................................................xxii
Exhibit III-1: Summary of HDS2012 Integrated Sampling Plan ..........................................................................................15
Exhibit III-2: Distribution of 28 Distinct Sites by Racial/Ethnic Testing and Self-Representing
Status for the HDS Sample ............................................................................................................................................15
Exhibit III-3: HDS Certainty Metro Sites by Minority Testing Configuration ...................................................................16
Exhibit III-4: Self-Representing Metropolitan Areas ............................................................................................................16
Exhibit III-5: Sampling Strata for the 2012 HDS .................................................................................................................17
Exhibit III-6: Number of Sites Sampled by Stratum and Race/Ethnic Group .....................................................................18
Exhibit III-7: Site Selections and Target Numbers of Tests by Sampling Stratum ............................................................... 20
Exhibit III-8: In-Person Paired Tests Conducted by Site, Race-Ethnic Group and Test Type Actual Number of Tests ......21
Exhibit III-9: Stratum Weights for HDS Analysis ............................................................................................................... 26
Exhibit III-10: Formulation of Gross and Net Adverse Treatment in a Paired Testing Design ............................................32
Exhibit III-11: Illustration of Tabular Analyses of Adverse Treatment in Rental Housing Seeking Among Blacks..............32
Exhibit III-12: Illustration of Tabular Analyses of Adverse Treatment for Number of Inspections of Rental Housing ........33
Exhibit IV-1: Summary Measures of Discrimination Against Minority Renters ................................................................. 40
Exhibit IV-2: Information and Availability Indicators for White and Black Renters ............................................................41
Exhibit IV-3: Inspections and Unit Problem Indicators for White and Black Renters ........................................................ 42
Exhibit IV-4: Financial Indicators for White and Black Renters ......................................................................................... 43
Exhibit IV-5: Comments and Helpfulness Indicators for White and Black Renters ............................................................ 44
Exhibit IV-6: Information and Availability Indicators for White and Hispanic Renters ......................................................45

HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 ix
Exhibit IV-7: Inspections and Unit Problem Indicators for White and Hispanic Renters ....................................................45
Exhibit IV-8: Financial Indicators for White and Hispanic Renters .................................................................................... 46
Exhibit IV-9: Comments and Helpfulness Indicators for White and Hispanic Renters .......................................................47
Exhibit IV-10: Information and Availability Indicators for White and Asian Renters ......................................................... 48
Exhibit IV-11: Inspections and Unit Problem Indicators for White and Asian Renters ....................................................... 48
Exhibit IV-12: Financial Indicators for White and Asian Renters ........................................................................................49
Exhibit IV-13: Comments and Helpfulness Indicators for White and Asian Renters .......................................................... 50
Exhibit IV-14: Summary Measures of Discrimination Against Minority Homebuyers ........................................................51
Exhibit IV-15: Information and Availability Indicators for White and Black Homebuyers ..................................................53
Exhibit IV-16: Inspections and Unit Problems Indicators for White and Black Homebuyers ..............................................53
Exhibit IV-17: Financial Indicators for White and Black Homebuyers ................................................................................ 54
Exhibit IV-18: Comments and Helpfulness Indicators for White and Black Homebuyers ...................................................55
Exhibit IV-19: Steering Indicators for White and Black Homebuyers ................................................................................. 56
Exhibit IV-20: Information and Availability Indicators for White and Hispanic Homebuyers ............................................57
Exhibit IV-21: Inspections and Unit Problems Indicators for White and Hispanic Homebuyers ........................................57
Exhibit IV-22: Financial Indicators for White and Hispanic Homebuyers.......................................................................... 58
Exhibit IV-23: Comments and Helpfulness Indicators for White and Hispanic Homebuyers .............................................59
Exhibit IV-24: Steering Indicators for White and Hispanic Homebuyers ........................................................................... 60
Exhibit IV-25: Information and Availability Indicators for White and Asian Homebuyers .................................................61
Exhibit IV-26: Inspections and Unit Problems Indicators for White and Asian Homebuyers..............................................61
Exhibit IV-27: Financial Indicators for White and Asian Homebuyers ............................................................................... 62
Exhibit IV-28: Comments and Helpfulness Indicators for White and Asian Homebuyers ................................................. 63
Exhibit IV-29: Steering Indicators for White and Asian Homebuyers ................................................................................. 64
Exhibit V-1: Comparable Measures of Discriminatory Treatment for Renters, HDS2000 and HDS2012 ......................... 66
Exhibit V-2: Comparable Measures of Discriminatory Treatment for Homebuyers, HDS2000 and HDS2012 .................67
Exhibit V-3: Longer-Term Trends in Discriminatory Treatment of Blacks and Hispanics .................................................. 68
Exhibit V-4: Metropolitan Estimates of Discrimination Against Black Renters .................................................................. 69
Exhibit V-5: Metropolitan Estimates of Discrimination Against Hispanic Renters .............................................................70
Exhibit V-6. Metropolitan Housing Market Conditions and Levels of Differential Treatment Estimates from
Alternative Regression Models of the Difference in Number of Units Shown ..............................................................71
Exhibit V-7: Racial/Ethnic Identifiability of Testers ............................................................................................................ 72
Exhibit V-8: Racial/Ethnic Identifiability and Levels of Differential Treatment ................................................................. 73
Exhibit V-9: Sources of Variation in Discrimination Against Renters Regression Models
of the Difference in Number of Units Shown ................................................................................................................75
Exhibit V-10: Sources of Variation in Discrimination Against Homebuyers Regression Models of Difference in Number of
Units Shown ................................................................................................................................................................. 77

x HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012

ExEcutivE Summary
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 xi
EXECUTIVE SUMMARY
For much of the twentieth century, discrimination by private real estate agents and rental property
owners helped establish and sustain stark patterns of housing and neighborhood inequality. Beginning in
the late 1970s, the Department of Housing and Urban Development (HUD) has rigorously monitored
trends in racial and ethnic discrimination in both rental and sales markets approximately once each
decade through a series of nationwide paired-testing studies. This summary report presents findings from
the fourth such study, which applied paired-testing methodology in 28 metropolitan areas to measure the
incidence and forms of discrimination experienced by black, Hispanic, and Asian renters and
homebuyers.
1

When well-qualified minority
homeseekers contact housing providers
to inquire about recently advertised
housing units, they generally are just
as likely as equally qualified white
homeseekers to get an appointment
and learn about at least one available
housing unit. However, when
differences in treatment occur,
white homeseekers are more likely
to be favored than minorities. Most
important, minority homeseekers are
told about and shown fewer homes and
apartments than whites (Exhibit ES-1).
2

Although the most blatant forms of housing discrimination (refusing to meet with a minority
homeseeker or provide information about any available units) have declined since the first national
paired-testing study in 1977, the forms of discrimination that persist (providing information about fewer
units) raise the costs of housing search for minorities and restrict their housing options. Looking forward,
national fair housing policies must continue to adapt to address the patterns of discrimination and
disparity that persist today.
1
Based on standard U.S. Census Bureau practice, this report uses the term “Asian” to refer to all Asian and Asian American testers. In addition, the term “white” refers to non-Hispanic whites.
2
All reported differences between minority and white treatment are statistically significant at the 0.90 level or higher. For specific tests of statistical significance, see the exhibits in Chapters IV
and V.

ExEcutivE Summary
xii HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
There can be no question that the housing
circumstances of whites and minorities
differ substantially. Whites are more
likely to own their homes, to occupy
better quality homes and apartments,
and to live in safer, more opportunity-
rich neighborhoods. However, it is less
obvious whether—or how much—these
disparities result from current racial and
ethnic discrimination in the housing
market because whites and minorities
differ systematically in employment,
income, assets, and debts.
Paired testing offers a uniquely effective tool for directly observing differential treatment of equally
qualified homeseekers, essentially catching discrimination in the act
In a paired test, two people, one white and the other minority, pose as equally qualified homeseekers and
inquire about available homes or apartments. Researchers have adapted the tool to systematically measure how
often discrimination occurs across housing markets and what forms it takes.
3
Despite its power, paired testing
cannot capture all forms of housing
discrimination that might occur during
a housing search. For example, it does
not encompass differences in advertising
practices that may limit a homeseeker’s
knowledge about available housing
options. It cannot measure differences
in treatment that might occur after the
initial inquiry—when homeseekers
submit applications, seek mortgage
financing, or negotiate lease terms.
Moreover, the results presented here
do not reflect the experience of the
average or typical minority homeseeker,
because testers presented themselves as
unambiguously well-qualified for the
advertised homes and apartments about
In this study… More than 8,000 tests were conducted in a
nationally representative sample of 28 metropolitan areas. In
each test, two trained individuals—one white and the other
black, Hispanic, or Asian—contacted a housing provider to
inquire about a housing unit randomly selected from recently
advertised homes and apartments. The two testers in each
pair were matched on gender and age, and both presented
themselves as equally and unambiguously well-qualified to rent
or buy the advertised unit. Each tester independently recorded
the treatment he or she experienced, including information about
all the homes or apartments recommended and shown.
Understanding the numbers… Not every instance of
white-favored treatment should be interpreted as systematic
discrimination. In some tests, random factors may contribute
to observed differences in treatment; in other tests, minorities
may experience more favorable treatment than their white
partners for systematic reasons. Therefore, we report the share
of tests in which the white was favored over the minority, the
share in which the minority was favored over the white, and the
difference between the two. This difference—or net measure—
provides a conservative, lower-bound estimate of systematic
discrimination against minority homeseekers, because it not
only subtracts random differences from the gross measure of
white-favored treatment, but may also subtract some differences
that reflect systematic reverse discrimination. Gross measures
of discrimination receive less emphasis in this report than in
past national studies because analysis over the past 25 years
strongly suggests that they reflect a lot of random differences
in treatment, and that net measures more accurately reflect the
systematic disadvantages faced by minority homeseekers.
3
This study focuses on differential treatment discrimination—when equally qualified homeseekers receive unequal treatment from housing providers. For methodological details, see Chapters II
and III. Federal law also prohibits forms of treatment that may appear equal on their face but that have a disparate impact on minority homeseekers.

ExEcutivE Summary
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 xiii
which they inquired.
4
Evidence from other research suggests that when testers pose as more marginally
qualified homeseekers, more discrimination occurs (Hunter and Walker 1996). For all these reasons,
results reported here probably understate the total level of discrimination that occurs in the marketplace.
People of color still face discrimination when they search for housing today
Each paired test in this study compares the treatment of whites and minorities at three critical steps in the
search for housing:
1. First, testers attempted (by telephone or e-mail) to make appointments for in-person visits.
2. If successful, they used the in-person visit to learn about available homes or apartments.
3. Finally, if told about at least one available housing unit, testers sought to inspect homes or apartments.
The discussion and exhibits that follow summarize the main findings at each of these three steps, first for
renters and then for homebuyers.
Discrimination against minority renters� Minority renters who call to inquire about recently advertised homes
or apartments are rarely denied appointments that their white counterparts are able to make. In the vast majority
of tests, if one tester is able to make an appointment, then both are. The very small treatment differences favor
neither whites nor minorities (Exhibit ES-2).
When renters meet in person with housing providers, they are almost always told about at least one
available unit. However, Hispanic renters are slightly more likely than equally qualified whites to be
told that no homes or apartments are available (1.8 percentage points). Moreover, in about half of all
in-person visits, one tester is told about more available units than the other, with whites significantly
4
All testers were assigned financial characteristics that qualified them for the housing units about which they were inquiring. Therefore, the assigned income levels varied widely, matching the
variation in advertised rents and home prices in the sampled metropolitan areas. However, in most metropolitan areas, average incomes among black, Hispanic, and Asian households are lower
than the average incomes assigned to testers.

ExEcutivE Summary
xiv HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
more likely to be favored than minorities, as detailed in Exhibit ES-3. Black, Hispanic, and Asian
renters are all told about fewer housing units than equally qualified white renters. Blacks and Hispanics
are told about one fewer unit for every five in-person visits; Asians are told about one fewer unit for
every six in-person visits.
Finally, in about one-third of in-person
visits, one tester is shown more units
than his or her partner, with whites
significantly more likely to be favored
than minorities. As Exhibit ES-4 details,
black, Hispanic, and Asian renters are all
shown significantly fewer housing units
than equally qualified whites. Blacks are
shown about one fewer unit for every 25 visits; Hispanics are shown one fewer unit for every 14 visits; and
Asians are shown one fewer unit for every 13 visits.
For example… In one rental test, the white tester arrived first
and asked to see a two-bedroom apartment. The agent showed
him the available two-bedroom unit as well as a one-bedroom
apartment and provided application information for both units.
The Hispanic tester arrived two hours later at the same office, but
was told that nothing was available.

ExEcutivE Summary
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 xv
Taking all three steps into account (ability to make an appointment, availability of units, and agents’
willingness to show units), minority renters are told about and shown fewer homes and apartments than
equally qualified whites (Exhibit ES-5).
• Black renters who contact agents
about recently advertised housing
units learn about 11.4 percent
fewer available units than equally
qualified whites and are shown 4.2
percent fewer units.
• Hispanic renters learn about 12.5
percent fewer available units than
equally qualified whites and are
shown 7.5 percent fewer units.
• Asian renters learn about 9.8
percent fewer available units than
equally qualified whites and are
shown 6.6 percent fewer units.
Minority renters sometimes experience other forms of discriminatory treatment as well, relating to
housing costs and quality and the helpfulness of the rental agent. These differences are less consistent and
smaller in magnitude than the differences in numbers of units available and shown. Details will be found
in Chapter IV.
Discrimination against minority homebuyers� Like renters, minority homebuyers are rarely denied
appointments that their white counterparts are able to make (Exhibit ES-6). However, black homebuyers are
slightly more likely than equally qualified whites to be denied an in-person appointment (2.4 percentage points).

ExEcutivE Summary
xvi HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
When homebuyers meet in person with housing providers, they are usually told about at least one
available unit. However, agents frequently tell one tester about more available homes than the other, with
whites significantly more likely to be favored than blacks and Asians, as illustrated in Exhibit ES-7.
Consequently, for every two visits, black and Asian homebuyers learn about one fewer home than equally
qualified whites.
Finally, in about two-thirds of in-person visits, one tester is shown more units than his or her partner,
with whites significantly more likely to be favored than blacks or Asians. As Exhibit ES-8 details, black
and Asian renters are shown significantly fewer homes than equally qualified whites. Specifically, blacks
are shown about one fewer home for every three in-person visits; Asians are shown one fewer home for
every two in-person visits.

ExEcutivE Summary
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 xvii
Taking all three steps into account
(ability to make an appointment,
availability of units, and agents’
willingness to show units), black and
Asian homebuyers are told about and
shown fewer homes than equally
qualified whites (Exhibit ES-9).
• Black homebuyers who contact
agents about recently advertised
homes for sale learn about 17.0
percent fewer available homes
than equally qualified whites and
are shown 17.7 percent fewer
homes.
• Asian homebuyers learn about
15.5 percent fewer available
homes than equally qualified
whites and are shown 18.8
percent fewer homes.
Overall differences in treatment for Hispanic homebuyers are not statistically significant, and Hispanics are
not recommended or shown a statistically different number of homes per inquiry than comparably qualified
white homebuyers. This result extends across many forms of treatment and across the metropolitan areas where
testing was conducted. As discussed further later, it also reflects a longer-term decline in discrimination against
Hispanic homebuyers.
Most of the for-sale homes recommended and shown to testers of all races and ethnicities are located in
majority-white neighborhoods. In many cases, however, one tester is recommended and shown homes in
neighborhoods that have a higher percentage of white residents, on average, than his or her partner. Whites
are significantly more likely than blacks or Asians to be shown these neighborhoods with higher percentages
of whites; and, when they are, the neighborhoods whites see are about 17 percentage points higher in the
percentage of white residents than those shown to equally qualified blacks or Asians. However, minorities are
sometimes shown “whiter” neighborhoods than their partners; and, when they are, the neighborhoods they see
are 14 to 15 percentage points higher in proportion of white residents than those shown to equally qualified
whites. As a consequence, across all tests, the average racial composition of neighborhoods recommended
to whites is only slightly higher in white percentage than the average for blacks and Asians—less than 2
percentage points more white. In other words, over multiple inquiries, the composition of neighborhoods
recommended to minority homebuyers is very similar to the composition of those recommended to equally
qualified whites.
For example… In one sales test, the black tester called and
spoke with an agent who insisted that she must be prequalified
in order to see homes. The agent refused to meet with the tester
until she had talked to a lender. The white tester was not asked
about prequalification over the phone and was able to make an
appointment to meet with the agent.

ExEcutivE Summary
xviii HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Minority homebuyers sometimes
experience other forms of discriminatory
treatment as well, relating to housing
costs and financing, housing quality, and
the helpfulness of the sales agent. These
differences are less consistent and smaller
in magnitude than the differences in
numbers of homes available and shown.
For details, see Chapter IV.
Variations in discrimination patterns�
In addition to estimating the overall
incidence and severity of discrimination,
a large-scale national testing study
sheds light on important variations in
discrimination, indicating what types
of homeseekers are most disadvantaged,
what types of agents discriminate most
frequently, and where discrimination
is most prevalent. This study finds that
minority homeseekers whose ethnicity
is more readily identifiable experience
more discrimination than those who may be mistaken for whites. Specifically, black and Asian renters
whose race is readily identifiable based on name and speech are significantly more likely to be denied
an appointment than minorities perceived to be white. During an in-person visit, renters who are
identifiably black, Hispanic, or Asian are shown fewer units than minorities who are perceived to be
white. Similarly, homebuyers who are identifiably black or Asian face higher discrimination during the
in-person visit than those who are perceived to be white.
The study does not support other widely held assumptions about when and where discrimination is most
likely to occur. It does not find substantial differences in the incidence or severity of discrimination across
metropolitan areas or regions of the country, suggesting that housing discrimination remains a national
problem. It is neither more nor less severe in housing markets hit hardest by the Great Recession.
5
What are the consequences of the discrimination documented here? When housing providers deny
minority homeseekers information about some of the housing options offered to whites, the time and
cost of minorities’ housing search rise and their choices are constrained. A recent survey of homebuyers
finds that the median search lasts 12 weeks, with 12 homes seen (National Association of Realtors 2011).
A black or Asian homebuyer would have to search longer or choose from a narrower set of options.
Unfortunately, little is known about patterns of search among renters, but spending time inquiring about
more advertisements and visiting more properties could be burdensome, especially for those with low
incomes or inflexible work schedules.
Identifiability of minority homeseekers… When
homeseekers call (or e-mail) to make an appointment, the
housing provider might or might not identify their race or
ethnicity. Even when homeseekers meet in person with
housing providers, it is not certain that their race or ethnicity
is accurately identified. In this study, a team of coders
assessed the race/ethnicity of each tester based on reading
the tester’s name and listening to a recording of his or her
speech—the information available to an agent over the
phone. A parallel assessment, conducted by other members
of the coding team, was based on name, speech, and a
photograph—the information available to an agent during
an in-person meeting. Each tester was assessed by three
independent coders based on name and speech and by three
independent coders based on name, speech, and appearance.
Minorities whose ethnicity is more readily identifiable experience
more discrimination than those who may be mistaken for whites.
This is the first time such an assessment has been performed as
part of a national paired-testing study.
5
For more details on analysis of variations in discrimination, see Chapter V.

ExEcutivE Summary
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 xix
The most blatant forms of discrimination have declined since passage of the
1968 Fair Housing Act
Due to changes in housing markets, sampling methods, and testing protocols, results from HUD’s four
decennial paired-testing studies cannot be precisely compared. But they do provide a qualitative picture of
trends in the adverse treatment of minority homeseekers. The first national paired-testing study, launched in
1977, focused exclusively on discrimination against blacks (Wienk, et al. 1979). The 1989 Housing
Discrimination Study measured discrimination against Hispanics as well as blacks (Turner, Struyk, and Yinger
1991). And the 2000 Housing Discrimination Study produced national estimates of discrimination against
black, Hispanic, and Asian homeseekers (Turner and Ross 2003a, 2003b; Turner, et al. 2002).
Trends in rental discrimination�
Exhibit ES-10 illustrates the long-term
trends in two important net measures
of discriminatory treatment for blacks
and Hispanics: whether the agent told
only the white tester that the advertised
unit was available and whether the white
tester was shown more units. In 1977,
black renters were frequently denied
access to advertised units that were
available to equally qualified whites. This
kind of “door slamming” discrimination
had declined dramatically by 1989 and
has continued to decline since. The
net measure of discrimination for the
number of units shown to black versus
white renters actually increased between
1977 and 1989 (possibly because blacks were less likely to be denied advertised housing outright) but has
declined since. Denial of advertised units to Hispanic renters has also dropped substantially since 1989,
while discrimination on the number of units shown appears to have declined between 1989 and 2000,
but not between 2000 and 2012.

ExEcutivE Summary
xx HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Focusing on more recent trends, Exhibit ES-11 reports net estimates of discrimination for four comparable
treatment measures in 2000 and 2012. These trend lines are overlaid on the associated statistical confidence
intervals, illustrating that for many measures, the intervals are too wide to conclude with confidence that
significant changes have occurred. Black renters today appear less likely than a decade ago to be told that
advertised units are unavailable. Asian renters are more likely than a decade ago to be shown fewer units, but
they are less likely to experience adverse treatment when making future arrangements with the agent.
Changes in other measures of rental discrimination are not statistically significant, so we cannot draw
definitive conclusions about whether discrimination against minority renters has increased or decreased.
Trends in sales discrimination�
Exhibit ES-12 illustrates the long-term
trends in two major net measures of
discriminatory treatment for black and
Hispanic homebuyers: whether the
agent told only the white tester that the
advertised unit was available and
whether the white tester was shown
more units. Like black renters, black
homebuyers were frequently denied
access to advertised homes in 1977.
This form of discrimination had
declined dramatically by 1989 and even
more by 2000. The net measure of
discrimination for the number of
homes shown, however, does not

ExEcutivE Summary
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 xxi
appear to have changed much over time. In contrast, adverse treatment of Hispanic homebuyers
dropped substantially between 1989 and 2000 and remained low (too low to be statistically significant)
through 2012.
Focusing on more recent trends in sales discrimination, we find less evidence of meaningful progress.
Exhibit ES-13 reports net estimates of discrimination for six comparable treatment measures in 2000 and
2012. These trend lines are overlaid on the associated statistical confidence intervals, illustrating that for
virtually all measures, the intervals are too wide to conclude with confidence that significant changes have
occurred. The only statistically significant change is for Hispanics, who are less likely than a decade ago to be
denied financing help compared to equally qualified white homebuyers.

ExEcutivE Summary
xxii HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Taken together, these findings suggest
that the blatant discrimination observed
in the earliest paired-testing study
(refusing to meet or provide information
about any available units) is much less
frequent today, but that other, less easily
detectable forms of discrimination (providing information about fewer units) persist, limiting the
information and options offered to minority homeseekers. The fact that blatant discrimination against
well-qualified minority homeseekers is rare does not mean it never occurs or that more marginally qualified
homeseekers do not face more frequent or severe barriers to housing choice.
For example… One agent told a white tester: “I’m not
prejudiced but I wouldn’t recommend living in South
Albuquerque...too many Hispanics. The further south you go the
more you run into.”
Fair housing policies must continue to adapt to address today’s patterns of discrimination
and disparity
The fair housing challenges facing the United States today extend beyond the discriminatory practices
documented by this study. Beginning with the Great Migration of blacks from the rural south to northern
and midwestern cities, discrimination by landlords and real estate agents blocked minorities from moving
into white neighborhoods, and produced high levels of residential segregation in metropolitan areas across the
country (Polikoff 2006). Too often, blacks and other minorities were excluded from neighborhoods with high-
quality housing, schools, and other public services. Lenders have been less willing to invest in predominantly
minority communities (Oliver and Shapiro 1997) or have offered predatory loans and loan terms that stripped
wealth from minority homeowners rather than helping build wealth (HUD 2000; Calem, Gillen, and
Wachter 2004; Engel and McCoy 2008). Today, even middle-class minority neighborhoods have lower house
price appreciation, fewer neighborhood amenities, lower-performing schools, and higher crime than white
neighborhoods with comparable income levels (Cashin 2004; Pattillo-McCoy 1999; Pattillo 2005). Rigorous
research documents the high costs of
racial and ethnic segregation—not just
for individuals but for society as a whole
(Carr and Kutty 2008; Hartman and
Squires 2010).
Over the past three decades, blawwck-
white segregation has declined steadily
(although it remains high in many
metropolitan areas) and immigration has
transformed the country’s population,
bringing greater racial and ethnic
diversity to the neighborhoods of both
blacks and whites (Turner and McDade
2012a, b). Hispanics and Asians are
considerably less segregated from whites
than are blacks (Exhibit ES-14).
Moreover, most whites live in more
Exhibit ES-14: Trends in Segregation of Whites from
Blacks, Hispanics, and Asians
BLACKS
HISPANICS
Dissimilarity Index
Source: John R. Logan and Brian Stults. 2011. “The Persistence of Segregation
in the Metropolis: New Findings from the 2010 Census.” Census Brief prepared
for Project US2010. http://www.s4.brown.edu/vs2010.
80
70
60
50
40
30
20
10
0
1980 1990 2000 2010
ASIANS

ExEcutivE Summary
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 xxiii
diverse neighborhoods today than they did three decades ago, reflecting the combined effects of
immigration, greater minority access to white neighborhoods, and gentrification of some minority
neighborhoods.
Consistent with this trend, racial and ethnic prejudice is generally waning among Americans, and
attitudes toward residential diversity are more open today—especially among young people. Most adults
know and approve of the fact that federal law prohibits housing discrimination on the basis of race and
ethnicity (Abravanel 2006). A declining share of the population expresses prejudice against blacks or
distaste for black neighbors (Schumann et al. 1997; Krysan 2011). Recent surveys show a decline in the
share of whites opposed to living in communities where half their neighbors are black (Krysan 2011).
Trends in attitudes toward immigrants (and ethnic groups associated with immigration) are less clear.
When immigration levels rise or high-profile immigration issues dominate the news, negative perceptions
seem to rise (Lapinski et al. 1997; Espenshade and Belanger 1997).
Long-term trends in patterns of discrimination suggest that the attitudes and actions of rental and sales
agents have changed over time, and that fair housing enforcement and public education are working.
Despite the progress that has been achieved, fair housing enforcement and education are still needed to
address the forms of discrimination that persist. Prejudice has by no means disappeared (see, for example,
White 2012) and, as this latest paired-testing study documents, minorities still face significant barriers to
housing search, even when they are well-qualified as renters or homebuyers.
Because the forms of discrimination that this study documents are very difficult for victims to detect,
enforcement strategies should not rely primarily on individual complaints of suspected discrimination.
HUD should encourage the local fair housing organizations it funds to conduct more proactive
testing, especially in the sales market, where discrimination appears higher than in the rental market.
Enforcement testing does not have to meet the statistical standards of research studies, but it should be
thoughtfully designed and targeted and consistently implemented so that it detects discrimination that
may be prevalent in particular neighborhoods, rental complexes, or companies. Proactive testing can
reveal discriminatory practices that would otherwise go unpunished, and when housing providers know
that testing is ongoing, they are more likely to comply with the law.
Local fair housing organizations should also expand and strengthen their relationships with Hispanic and
Asian communities to address the discrimination experienced by all people of color. Historically, the fair
housing movement has focused on discrimination against blacks. Although some local organizations have
extended their scope in light of changing demographic realities, others have not yet done so.

ExEcutivE Summary
xxiv HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
In addition, more locally targeted
research testing may be needed to
pinpoint the types of neighborhoods,
housing providers, or homeseekers where
discrimination is most prevalent. In
particular, minority homeseekers with
lower incomes, less wealth, weaker
English language fluency, or blemished
credit may face higher levels of
discrimination than documented in
this study.
As attitudes and market practices
evolve, policymakers and fair housing
practitioners need reliable research not
only on patterns of discrimination,
but also on other factors that may
contribute to residential segregation
and disparities in neighborhood quality.
Minorities still suffer from substantial
disparities in neighborhood amenities and access to opportunity (Logan 2011) and the levels and forms
of housing discrimination captured by this paired-testing study cannot fully explain current levels of
residential segregation. Information gaps, stereotypes and fears, local regulatory policies, and disparities in
purchasing power all work together to perpetuate segregation, even though many Americans—minority
and white—say they want to live in more diverse neighborhoods (Ellen 2008; Farley, Fielding, and
Krysan 1997). Meaningful reductions in neighborhood segregation and inequality can only be achieved if
we tackle all these causal forces at the same time.
Enforcing existing fair housing protections remains essential. However, fair housing enforcement alone
cannot reverse persistent patterns of segregation or undo the damage they cause. The evidence argues for
a multipronged strategy that includes vigorous enforcement of anti-discrimination protections along with
education—about the availability and desirability of diverse neighborhoods; local regulatory reforms and
affordable housing development—to open up exclusive communities and preserve affordable options in
gentrifying neighborhoods; neighborhood reinvestment—to equalize the quality of services, resources,
and amenities in minority neighborhoods; and new incentives-to encourage and nurture stable diversity
(Turner and Rawlings 2009). All these elements are required to achieve the fundamental goals of free and
fair housing choice and healthy, opportunity-rich neighborhoods.
Research and enforcement testing differ… Because its goal
is to measure the prevalence of discrimination across the market
as a whole, research testing usually covers a representative
sample of available homes and apartments, rather than targeting
properties or communities where discrimination is suspected.
In addition, to produce generalizable results, research testing
requires a fairly large number of tests, covering many different
housing providers, rather than multiple tests to clearly establish
discrimination by a single provider. To generate results that can
be aggregated across many tests, research protocols have to be
rigidly consistent for every test, whereas the best enforcement
protocols are flexible enough to respond to circumstances
that arise in particular tests. Finally, research testing report
forms require predefined, closed-ended responses that can be
consistently compared across many tests, rather than detailed
and nuanced narratives that convey exactly what happened in an
individual test.

i. iNtrODuctiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 1
I. INTRODUCTION
This report presents findings from the fourth national study of housing discrimination sponsored by
the U.S. Department of Housing and Urban Development (HUD). The study applied the paired-
testing methodology in 28 metropolitan areas nationwide to directly measure the incidence and
forms of discrimination experienced by black, Hispanic, and Asian
6
renters and homebuyers. It finds
that when well-qualified minority homeseekers contact housing providers to inquire about recently
advertised housing units, they generally are just as likely as equally qualified white homeseekers to get an
appointment and learn about at least one available housing unit. However, when differences in treatment
occur, white homeseekers are more likely to be favored than are minorities. Most important, minority
homeseekers are told about and shown fewer homes and apartments than whites, raising the costs of
housing search and limiting housing options.
Background
For much of the twentieth century, discrimination by private real estate agents, rental property owners,
and lending institutions helped establish and sustain stark patterns of racial and ethnic segregation in
neighborhoods across the county. When the federal Fair Housing Act was passed in 1968, black families
were routinely—and explicitly—denied homes and apartments in white neighborhoods.
Since the late 1970s, HUD has rigorously monitored trends in the incidence of racial and ethnic
discrimination in both rental and sales markets approximately once each decade through a series
of nationwide paired-testing studies. Paired testing is a powerful tool for observing discrimination
in action. In a paired test, two individuals—one a minority and the other white—pose as equally
qualified homeseekers. Both testers are carefully trained to make the same inquiries, express the same
preferences, and offer the same qualifications and needs From the perspective of the housing provider,
the only difference between the two is their race or ethnicity, and they should therefore receive the same
information and assistance. Systematic differences in treatment—telling a minority homeseeker that
an apartment is no longer available when the white partner is told he could move in next month, for
example—provide direct evidence of discrimination.
The first national paired-testing study, launched in 1977, focused on discrimination against blacks and
found high levels of discrimination in both rental and sales markets (Wienk et al. 1979). At that time, it
was not uncommon for black homeseekers to be told that no homes or apartments were available to them
or to be denied an opportunity to meet with a rental or sales agent. The 1989 Housing Discrimination
Study measured discrimination against Hispanics as well as blacks and again found high levels of
discriminatory treatment in both rental and sales markets nationwide. That study concluded that overall
levels of discrimination against black homeseekers had not changed significantly since 1977, although its
forms were changing to become more subtle and less easily detectable (Turner, Struyk, and Yinger 1991).
6
Based on standard Census and American Community Survey practice, and because not all of the participating Asian testers were Asian Americans, we use the nomenclature Asian when
identifying this population in this report.

i. iNtrODuctiON
2 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Roughly a decade later, the 2000 Housing Discrimination Study found statistically significant levels
of discrimination against black, Hispanic, Asian, and Native American homeseekers (Turner and
Ross 2003a, 2003b; Turner et al. 2002). That study was explicitly designed to measure change in
discrimination and concluded that, between 1989 and 2000, the overall incidence of discrimination
against blacks declined in both rental and sales markets nationwide. The incidence of discrimination
against Hispanic homebuyers also declined, but no significant change occurred for Hispanic renters
(Turner et al. 2002).
7
However, the overall reductions in sales discrimination during the 1990s masked
underlying changes in patterns of discrimination.
Goals for the 2012 Housing Discrimination Study
The primary goal of the 2012 Housing Discrimination Study (HDS2012) is to produce current
national estimates of discrimination against blacks, Hispanics, and Asians in rental and sales markets
nationwide. In addition, it provides statistically valid estimates of rental market discrimination against
blacks and Hispanics for a small number of major metropolitan areas (eight metro areas for black rental
discrimination and eight metro areas for Hispanic rental discrimination). Although tracking trends in
the incidence of discrimination is also important, HUD placed higher priority on accurately capturing
current market practices than on precisely measuring change over time.
Achieving these goals was complicated by the fact that housing markets have changed substantially over the
past decade. One important change has been the dramatic shift to using the Internet for advertising and
initial information exchange. Technology now permits housing searches via cell phone, laptop, and home or
work computers. Homeseekers may be able to gather more information about available rental and sales units
without divulging their personal characteristics. At the same time, however, housing providers may be able
to detect customer characteristics by screening phone messages, using Caller ID, or even employing real-
time Web-based identity verification engines. Testing protocols must adapt to these technological changes,
both to avoid detection and to capture differential treatment that might occur before in-person interactions.
Therefore, HDS2012 modified the protocols used in previous national testing studies to include telephone
and e-mail contacts by testers and to record differential treatment that may occur before in-person visits. In
addition, the procedures for selecting random samples of rental and sales advertisements were modernized to
take advantage of online sources and to mirror contemporary housing search behaviors more effectively.
In addition to these technological changes, the economic recession and the foreclosure crisis have
dramatically affected both sales and rental markets nationwide. Slumping sales caused high backlogs in
many markets, potentially pressuring real estate agents to move inventory, and bank-owned properties
or foreclosure sales may have changed real estate marketing practices significantly in some communities.
These unusual market conditions may have produced atypical patterns of treatment for minority
homebuyers. However, because market conditions vary considerably across the country, analysis can
explore how market conditions relate to the incidence or forms of discrimination. The HDS2012 ad
sampling and testing protocols captured and included distressed sales and sales of bank-owned properties,
when these properties were handled by real estate agents and advertised through conventional public
sources. This study did not include properties for sale by owner, foreclosure auctions, or sales in which a
bank marketed the property directly.
7
Discrimination against Asians and Native Americans was not systematically measured before HDS2000, so trends over time cannot be assessed.

i. iNtrODuctiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 3
In some parts of the country, high unemployment might have contributed to very weak rental markets as
well, with property owners eager to find tenants. But in many others, an increase in rental housing seekers
due to foreclosures and barriers to mortgage lending appears to have produced very tight market conditions,
requiring rapid-response rental inquiry protocols. HDS2012 sampling procedures and testing protocols
were adapted to reflect variations in market conditions across the country, the continuously updated pool of
online rental advertisements, and the need for rapid response to rental ads, especially in tight markets.
Strengths and Limitations of Paired Testing
The paired-testing methodology originated as a tool for fair housing enforcement, detecting and
documenting individual instances of discrimination. Since the late 1970s, paired testing has also been
used to rigorously measure the prevalence of discrimination across the housing market. When large
numbers of consistent and comparable tests are conducted for a representative sample of housing units,
they directly measure patterns of adverse treatment based on race or ethnicity.
Although research testing shares common origins with enforcement testing, it differs in important ways.
Because its goal is to measure the prevalence of discrimination across the market as a whole, research testing
usually covers a representative sample of available homes and apartments, rather than targeting properties or
communities where discrimination is suspected. In addition, to produce generalizable results, research testing
requires a fairly large number of tests covering many different housing providers, rather than multiple tests,
to clearly establish discrimination by a single provider. To generate results that can be aggregated across many
tests, research protocols have to be rigidly consistent for every test, whereas the best enforcement protocols
are flexible enough to respond to circumstances that arise in particular tests. Finally, research testing report
forms require predefined, closed-ended responses that can be compared consistently across many tests,
rather than detailed and nuanced narratives that convey exactly what happened in an individual test.
Paired testing has tremendous power and potential, but the methodology also has limitations.
For practical reasons, paired testing cannot be applied to some of the important stages in a
rental or sales transaction. For example, third-party testing protocols cannot legitimately involve
the formal submission of fraudulent information in a signed rental or loan application, so it is not
possible to capture discrimination that might occur at the final stage of a rental or sales transaction.
Also, discrimination against established tenants or homeowners (such as in lease renewals or property
maintenance) cannot be captured through paired testing because the housing provider already knows the
details of consumers’ actual characteristics. As a consequence, the estimates of discrimination reported
here do not capture all the forms of discriminatory treatment that minority homeseekers may experience,
only those that occur during the initial inquiry and information gathering.
Moreover, the results presented here do not reflect the experience of the average or typical minority
homeseeker, because testers presented themselves as unambiguously well-qualified for the homes and
apartments about which they inquired. In most metropolitan areas, average incomes among black,
Hispanic, and Asian households are lower than the average incomes assigned to testers. Evidence from other
research on mortgage lending discrimination suggests that when testers pose as more marginally qualified
homebuyers, differential treatment occurs more frequently (Hunter and Walker 1996). Therefore, results
reported here probably understate the total level of discrimination that occurs in the marketplace.

i. iNtrODuctiON
4 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Paired testing is explicitly designed to control for all relevant differences between testers so differences in
treatment can be attributed to discrimination based on protected class. Nonetheless, random as well as
systematic factors may contribute to observed differences, and some tester attributes or behaviors may
not be fully controlled or observed. Therefore, not every instance of white-favored treatment should
be interpreted as systematic discrimination. In some tests, random factors may contribute to observed
differences in treatment; in other tests, minorities may experience more favorable treatment than their
white partners for systematic reasons. Therefore, we report the share of tests in which the white was
favored over the minority, the share in which the minority was favored over the white, and the difference
between the two. This difference—or net measure—provides a conservative, lower-bound estimate of
systematic discrimination against minority homeseekers, because it not only subtracts random differences
from the gross measure of white-favored treatment, but may also subtract some differences that reflect
systematic reverse discrimination. Gross measures of discrimination receive less emphasis in this report
than in the prior national study, HDS2000. Analysis over the past 25 years strongly suggests that gross
measures reflect a lot of random differences in treatment, and that net measures more accurately reflect
the systematic disadvantages faced by minority homeseekers.
Critics of paired testing have raised ethical and legal objections, arguing that the methodology deceives
or entraps research subjects, imposes costs (of interacting with a fictitious customer), and may invade the
privacy rights of the person or office being tested (see Edley 1993). However, a convincing argument can
be made that paired testing is often the only feasible strategy for detecting and measuring discrimination,
and that the benefits far outweigh the drawbacks.
8
These studies provide no lure or incentive for sales or
rental agents to act any differently from the way they would otherwise act. Moreover, responsible testing
studies intentionally involve as limited an intrusion as possible, taking up the minimum amount of time
necessary. They also involve responding to offers (for homes and apartments) that are publicly advertised
and subject to laws or regulations barring discrimination (Fix and Struyk 1993).
Organization of Report
The remainder of this report details the methods and results of HDS2012. Chapter II describes the
paired-testing protocols and the procedures implemented to manage the nationwide data collection
effort and ensure quality control. Chapter III documents sampling and statistical methods. Chapter
IV presents national estimates of discrimination against blacks, Hispanics, and Asians in both rental
and sales markets. Chapter V presents and discusses additional study findings, including local estimates
of discrimination against minority renters for a small number of major metropolitan areas, analysis of
variations in levels of discrimination, and estimates of change in discrimination since HDS2000.
8
In Havens Realty Corp. v. Coleman (1982), the Supreme Court held, “A tester who has been the object of a misrepresentation made unlawful… has suffered injury in precisely the form the
statute was intended to guard against, and therefore has standing to maintain a damages claim.... That the tester may have approached the real estate agent fully expecting that he would receive
false information, and without any intention of buying or renting a home, does not negate the fact of injury.”

ii. PairED tEStiNG PrOtOcOLS aND FiELD maNaGEmENt
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 5
II. PAIRED TESTING PROTOCOLS AND FIELD
MANAGEMENT
The paired-testing protocols for HDS2012 were designed to support research rather than enforcement.
Differences between the two types of testing encompass the number of tests to conduct, the selection of
properties to test, how testing protocols are used, and the type of data collected. Research testing requires
completing a large number of tests that will support statistical analysis of the collected data. Tests are
based on housing ads selected at random from publicly available ad sources; there is no attempt to test
a particular housing provider or housing unit. In contrast, enforcement tests target housing providers
suspected of discriminating against certain homeseekers. Fair housing organizations often initiate tests
after receiving complaints of unfair treatment. If an initial test suggests a difference in treatment between
paired testers, the organization may conduct additional tests of the same provider to confirm results and
compile evidence of discrimination.
Tests conducted for research must produce consistent and comparable data that can be aggregated
for analysis. Consequently, research testing protocols are inflexible; testers in all study sites must
conduct tests in the same way. Enforcement protocols, in contrast, need to be flexible to respond to the
circumstances of a particular case. Enforcement also collects more detailed, nuanced information on
each test, whereas information collected for research comes from tester responses to mostly close-ended
questions about their experience. The more highly structured, inflexible protocols of research testing
allow analysts to control for differences in treatment between white and minority homeseekers and
directly measure patterns of adverse treatment based on race and ethnicity.
The field implementation component of this study started with the protocols and processes used for
HDS2000, modified to incorporate changes in rental and sales housing markets, and in housing search
practices, over the past 10 years. Testing was managed centrally by a field director who oversaw Urban
Institute (UI)- and field-based regional coordinators. UI contracted with local testing organizations,
including fair housing groups and others capable of conducting this specialized work, in the study sites.
See Appendix A for a list of participating organizations.
Local testing organizations recruited testers according to the types of tests a site was assigned to conduct.
Their recruitment activities also were guided by information that UI provided on local community
demographics. For example, a site conducting Asian/white tests would be provided recruitment targets
for Asian subgroups based on census data for that metropolitan area. In a city with a significant number
of Vietnamese and Laotian residents, an organization would attempt to recruit more testers from these
groups than from other Asian subgroups. See Appendix B for a master list of Asian and Hispanic
subgroups.
9
Organizations also attempted to ensure a reasonable distribution of testers by sex and age.
Minority and white testers were matched on age and gender. They were assigned income, assets, and
debt levels to make both testers unambiguously well qualified for the representative sample of advertised
units and to make the minority tester slightly better qualified. As a result of being assigned income that
made testers well qualified relative to the income necessary to rent or buy a unit being tested, on average,
9
Testers who identified as Hispanic and black but likely were perceived to be black participated as testers for black/white tests, changing their name if necessary.

ii. PairED tEStiNG PrOtOcOLS aND FiELD maNaGEmENt
6 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
white and Asian testers were assigned a slightly higher income than the average white or Asian renter
and a slightly lower income than the average white or Asian homebuyer. Black and Hispanic testers
were assigned a higher income than the average black or Hispanic renter or homebuyer.
10
Test partners
also were assigned comparable family circumstances, job characteristics, education levels, and housing
preferences. (Appendix C outlines how tester characteristics were developed for sales tests.) Testers
contacted and visited rental or sales agents and systematically recorded the information and assistance
they received about the advertised unit and other units, including location, rent or sales price, quality and
condition, and other terms and conditions. Testers were not told who their test partner was; partners did
not compare their experiences with one another.
Rental Testing Protocols
Protocols for rental tests were divided into eight steps. The first step in the process required making
contact on each sampled advertisement before it could be assigned to testers. The advance contact
confirmed details from an ad and collected additional information required to determine eligibility
and assign tester characteristics. Second, a local test coordinator created a test assignment based on
information collected from the sampled advertisement and the advance contact. Third, the coordinator
met with each tester in the matched pair separately. During briefings, testers received and reviewed their
assignment, reviewed test protocols, and discussed any questions or concerns with the coordinator.
Fourth, testers were assigned to visit the housing provider using one of two approaches: no appointment/
drop-in, which was used when an advertisement provided information on location and office hours; or
appointment, which was used when an advertisement provided insufficient information to allow a drop-in
visit or the advance contact determined an appointment was necessary.
11
Testers were assigned a Google
Voice number and a Gmail account, which they used to make appointments and to receive messages
from housing providers. The use of Google Voice/Gmail helped streamline communication by allowing
testers to use a phone number that was solely for use on the project and whose digital voicemail could be
accessed online by test coordinators and/or transcribed to text. Because voicemail messages from housing
providers appeared as a written record in the testers’ assigned Gmail account and test coordinators received
an e-mail alert when such messages were received, coordinators were able to monitor important and timely
communication by forwarding messages received by tester accounts to a central e-mail account. When
agents called to cancel or reschedule appointments, for example, test coordinators saw the message and
alerted testers to take the appropriate next steps. Testers could make calls through the Google Voice system
via a landline or their own cell phone (their Google number—not the number of the phone used to make
the call—appeared on the housing provider’s Caller ID). The appointment protocol directed testers to make
contact by telephone unless an e-mail address was provided in an advertisement instead of a phone number.
Appointment contacts were documented to allow analysis of treatment at this early stage of a test.
10
For the rent tests, white testers’ income was in the 59th percentile of actual white renters, black testers’ income was in the 73rd percentile of actual black renters; Hispanic testers’ income
was in the 73rd percentile of actual Hispanic renters, and Asian testers’ income was in the 54th percentile of actual Asian renters.
For the sales tests, white testers’ income was in the 47th percentile, black testers’ income was in the 60th percentile, Hispanic testers’ income was in the 63rd percentile, and Asian testers’
income was in the 46th percentile of actual homebuyers for the relevant racial or ethnic group.
11
Testers sought to meet with a housing provider using the most efficient approach possible. About half of all rental tests were drop-ins. In 13 test sites, 75 percent or more of all rental tests
were drop-ins.

ii. PairED tEStiNG PrOtOcOLS aND FiELD maNaGEmENt
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 7
Fifth, testers conducted test visits following standardized testing protocols designed to gather key
information for assessing differential treatment. Testers began each test by asking about the advertised unit
or, in the event the advertised unit was no longer available, about any other units similar to the advertised
unit in size, price, and the date available.
12
Whether the advertised or similar units were available or not,
testers always asked whether there were any other rental units that were within their price range, had at
least the minimum number of bedrooms the testers’ (assigned) household needed, and were available when
needed. Under no circumstances were testers to agree to a credit check, which would disclose the fact that
their income and other information differed from what they might have told the provider.
Sixth, testers completed report forms soon after finishing a test visit, to record information on the
application process; whether and which utilities are included in the rent; the exact address of the unit;
number of bedrooms; rent amount, amount of security deposit, and any other fees; the lease length;
the date of availability; and any information about the tester gathered by the housing provider, such as
income, employment, and family size. See Appendix D for all rental report forms.
Seventh, after testers completed all report forms, they attended a debriefing meeting with the test coordinator
to clarify report forms, if necessary, and talk about any issues or concerns with the test. Debriefings were held
in person with testers until coordinators were confident that a tester had mastered testing protocols and was
comfortable with all the test report forms. After that, testers had the option of debriefing over the telephone.
The eighth and final step in the test process was documenting any follow-up contact with a housing
provider. Testers completed a report form to record information on any e-mail or telephone calls from a
housing provider as well as any follow-up contact a tester was instructed to initiate.
Although the field team had anticipated particular implementation challenges related to market changes
since HDS2000, the team encountered two challenges during the testing period that previous national
studies had not presented:
• Real estate agents/brokers: In a number of metropolitan areas, testers had a particularly difficult time
making appointments and conducting site visits as a result of real estate agents/brokers who refused
to make firm appointments or provide testers with a specific address at which to meet. For example,
real estate agents/brokers would tell testers they would call them the morning of the appointment to
confirm a time and a place to meet. This practice left the testers unsure about whether they would be
conducting a site visit the next day. In the instances when the agent did call the tester back the next
day, there was frequently a short time between the call and when the agent was available to meet.
The test coordinator would then be forced to decide whether to send out the first tester on a site visit
without knowing whether the second tester would receive an appointment. If the second tester could
not obtain an appointment, the test would be incomplete.
• Management companies: In a number of areas, local testing organizations encountered management
companies that owned many rental properties. Because it is common practice for the management
companies to log visits by prospective tenants, it was a significant concern that testers who visited
more than one property owned by the same company would be detected. Test coordinators had
to keep careful records of which testers had previously visited properties owned by these large,
multiproperty companies in order to avoid detection.
12
Tests in which a housing unit was shown during an open house were assigned to ensure that testers visited at different times. If it was not possible for paired testers to visit at different times, the test
would be deemed ineligible. In group showings, testers were instructed to adhere to the protocol, asking the provider the necessary questions even though the meeting was not one on one.

ii. PairED tEStiNG PrOtOcOLS aND FiELD maNaGEmENt
8 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Sales Testing Protocols
Sales tests had the same eight components as rental tests, though protocol details differed for a
number of steps. On sales tests, local testing organizations made advance contacts only for sampled
advertisements that did not include information on the location, sales price, or number of bedrooms
of the housing unit for sale. If the ad contained all the information necessary to make an assignment,
no advance contact was required.
During briefings, testers were allowed to create notes that included their assigned financial information
so they could respond to any questions about their income and debt in detail should a housing provider
ask for such information or offer to do a back-of-the-envelope assessment of the price of home the tester
could afford. Testers were instructed to include only information on their finances so they would not
need to shield the notes from a housing provider.
All sales tests began with an appointment contact except in very rare cases where there was no contact
information for a housing provider but enough information to visit a sales office. Unlike rental
appointment contacts, testers were not to mention the advertised home when contacting a housing
provider to make an appointment. Testers were instructed to say that they had seen ads from the
provider’s office and were interested in finding out what was available.
During in-person visits, testers were instructed to ask first about the advertised home they were provided
in their test assignment and then to ask about any other homes that had the same number of bedrooms
as the advertised home. Testers were not provided with a ceiling on what they could afford nor a date
by which they needed to buy a home in order to respond to any options the housing provider suggested
they consider. If asked about price, testers were instructed to say they were unsure of what they could
afford.
13
They were not to select homes to view but instead were instructed to ask the housing provider
for recommendations. They also were not to state a neighborhood preference, though if pushed on this
question, they could offer a broad geographic area provided in their test assignment. Testers were available
for an additional three hours beyond the initial site visit to view homes with the housing provider,
though they were not to push the provider for additional time. This time could be spent during the first
visit, if the provider had additional homes to show the tester, or could be spent during a second test visit.
Testers completed test report forms soon after finishing a test visit, whether the visit was for the initial
or second meeting with a housing provider for a particular test. Reports recorded information on the
exact address of the homes recommended by the housing provider, the number of bedrooms in each
recommended home, asking price on all recommended homes, information on financing options, and
any information about the tester gathered by the housing provider, such as income, debt, credit score,
employment, and family size. See Appendix E for all sales report forms.
14
The debriefing and follow-up
steps for sales tests were the same as those for rental tests.
13
Testers were asked a variation of the question on affordability in approximately half of tests overall, though in some test sites it rarely arose. No detection concerns related to affordability or
prequalification were brought to the attention of the regional coordinators, though the lack of prequalification presented an obstacle to scheduling appointments in some sites.
14
Forms for advance contact, appointment, and follow-up contact are the same for rental and sales and are included in Appendix C.

ii. PairED tEStiNG PrOtOcOLS aND FiELD maNaGEmENt
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 9
The field team faced three challenges while completing sales tests that previous national studies had
not encountered:
• Need for prequalification modification: When significant numbers of testers in a particular
metropolitan area were repeatedly denied appointments by housing providers because they had
not yet been prequalified, local testing organizations were granted permission to use a modified
protocol. In total, nine sites ultimately used the prequalification modification, which allowed testers
to tell housing providers over the phone that they had been prequalified for a particular dollar
amount.
15
If the agent asked to see the prequalification letter during the course of the site visit, the
testers were instructed to say they had forgotten the letter.
• Gas prices/geographic distances: Many metropolitan areas in which the study was conducted could
take several hours to travel from the furthest points. If a tester was assigned to a test where the
housing provider’s office was a significant distance from the tester’s home and/or the local testing
organization’s office, the tester spent multiple hours traveling to and from the first site visit. For
sales tests that included second site visits, the total travel time could be considerable. The size of
the distances that were traveled on tests coupled with the rise in gas prices during the testing period
further challenged the entire project team to complete the required work with the available funds.
• Detection: In a number of metropolitan areas, local testing organizations encountered housing
providers that used an online system to track clients and subscribe them to the Multiple Listing
Service (MLS). Agents would use the e-mail address the tester had provided in order to register him
or her on the site. If the agent discovered that the tester was already in the system, it indicated the
tester had previously met with at least one other housing provider. In a few instances, the agent then
confronted the tester about why the tester was meeting with multiple agents. In some project sites,
the use of this online system was so extensive among housing providers that to avoid detection, test
coordinators began assigning new e-mail addresses to testers for each subsequent sales test. This
additional procedure increased the burden on test coordinators and testers, who had to memorize a
new email address for every test they conducted.
Data Collection Oversight, Management, and Quality Control
Regional coordinators provided oversight for all testing activities by maintaining weekly contact with
local test coordinators and reviewing test reports.
16
The weekly telephone and e-mail contacts between
regional coordinators and local test coordinators allowed the field operations team to identify and correct
any problems as quickly as possible. The contacts between regional coordinators and other field operations
staff and the local testing groups were documented (dates of contact, issues discussed, problems identified,
corrective actions required, outcome of corrective actions) to aid in transparency. In cases where problems
did not improve, the regional coordinator responsible for the particular site increased supervision and, when
necessary, visited the site to determine if a course correction was possible.
15
The sites were Albuquerque, New Mexico; Atlanta, Georgia; Chicago, Illinois; Dallas, Texas; Ft. Worth, Texas; Greensboro, North Carolina; Miami, Florida; Richmond, Virginia; and Washington,
DC. Analysis shows little change in the average difference in units shown to white and minority testers when tests using the modified prequalification procedure are excluded.
16
Testing activities ran from midsummer 2011 to fall 2012.

ii. PairED tEStiNG PrOtOcOLS aND FiELD maNaGEmENt
10 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
The research team used CODE, the Web-based data entry and test management system, for HDS2012.
CODE was originally designed and implemented by the Urban Institute for HDS2000 and the
Disability Discrimination Study. CODE’s integrated test assignment, data entry, and test management
tools reduce data entry mistakes with built-in consistency checks and streamline data management,
cleaning, analysis, and database delivery. UI’s field operations staff continuously monitored data in
CODE to assess tester adherence to reporting requirements and progress toward testing targets. The
CODE system automatically assigned identification numbers for ads, testers, e-mail and/or telephone
inquiries, in-person visits, and inspected units, reducing a major source of potential data-entry errors.
Testers completed electronic forms for previsit contacts, in-person visits, and any follow-up contact
that occurred. Test coordinators reviewed tests to ensure that report forms were complete and accurate
before approving tests and submitting them to the research team. Once tests were recorded in CODE
as completed, regional coordinators reviewed files from their sites to identify any problems with data
quality. CODE allowed regional coordinators to identify who entered information on report forms
and when information was entered. This in turn allowed them to identify the rare tests that appeared
suspicious and assess whether a test had been tampered with or fabricated.
One of the greatest challenges faced by the local testing organizations involved in the study was recruiting
and retaining testers. Although most of the groups had prior testing experience and many had a testing
program in place when HDS2012 began, all of them had to recruit additional testers in order to conduct
the required number of tests. Most organizations also had to further diversify the age, race, and ethnicity
of their test pools. Most testing organizations had to conduct outreach to groups and community leaders
within the Hispanic and/or Asian communities.
Although organizations were generally very successful in recruiting large numbers of testers, many groups
suffered a high level of tester attrition, forcing test coordinators to continue recruiting at the same time
they were coordinating large numbers of tests. Both the research team and the local testing organizations
anticipated some tester attrition either immediately following the tester training session, when testers
learn just how detailed the protocols are, or after testers conducted their first practice test, when some
discover that they are not comfortable assuming a set of assigned characteristics. However, the level of
tester attrition that followed the testers’ initial entry to the project was unexpectedly high.
17
As new
testers were recruited to replace them, regional coordinators had to conduct ongoing webinar training
sessions, often for multiple sites at one time. Some local testing organizations suffered such high tester
attrition during the testing period that they averaged one training session a month.
Another challenge was the change in either the executive director or on-site project manager position in
one-third of the local testing organizations. Most of these staff changes came as a surprise. The transitions
were challenging for both the UI field staff and local testing staff, and in some cases they contributed
to unexpected delays in test completion. The loss of test coordinators and advance contact staff meant
that regional coordinators had to devote significant time to training testing staff while continuing to
fulfill their other critical roles, providing vital feedback to active test coordinators and enforcing multiple
quality control measures. Ultimately, the UI field team determined that several testing organizations did
17
Many organizations attributed high tester attrition to the level of underemployment among many testers. When these testers received offers of more permanent employment, they gave up their
work as HDS testers.

ii. PairED tEStiNG PrOtOcOLS aND FiELD maNaGEmENt
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 11
not have the capacity to complete the required number of tests according to the protocols. The UI field
team either identified other local organizations to take over the work in those sites or increased the scope
of work of organizations working in other HDS sites to manage the completion of the failed sites’ tests.
18

18
Other testing organizations required additional technical and personnel support to complete their work. For field staff members who struggled with particular protocols, report forms, or
test management, regional coordinators conducted additional one-on-one or small-group webinars on specific subjects and helped relay best practices of high-performing sites. In some
cases, the UI team provided help by connecting one local testing organization to another. For example, if an organization was nearly finished with testing but had no testers remaining from
a particular demographic, another group identified capable testers who were available to travel. This strategy was used in several sites. Additionally, the UI field team deployed local test
coordinators who had successfully completed tests in their own sites to other locations. One test coordinator helped close out three different sites in two states. Another dedicated tester was
trained as a test coordinator for the purpose of traveling to another site and ultimately spent more than six months away from home. Highly capable test coordinators and advance callers
also helped sites in other metropolitan areas complete work, but did so by working remotely. They made test assignments via the online CODE system and briefed and debriefed testers via
telephone or Web conference. The field staff members who were willing to travel to additional sites and who provided remote support to numerous other testing organizations were vital to
the successful completion of the project.

12 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 13
III. SAMPLING AND ANALYSIS METHODS
This section documents the sampling and analysis plan. We first review the study objectives, since these
are the primary drivers of the research design. We then discuss the three-step, probability-based sampling
plan that was implemented for rental and sales testing. The third, fourth, and fifth sections are devoted
to metro site selection, sampling of neighborhoods, and electronic selection of the rental and sales ads
for testing. We next present targeted and actual numbers of tests. We discuss the post-data collection
processing of test data for use in our analyses. We conclude with subsections that discuss our analysis
plan, including summary measures, screening, statistical tests, and finally the multivariate analysis of the
correlates of differential treatment.
Study Objectives
The study objectives call for conducting a national paired-testing study of sufficient scope to produce
• Statistically valid and precise national estimates of discrimination experienced by blacks, Hispanics,
and Asians relative to whites who seek rental and sales housing.
• Statistically valid and precise estimates of rental discrimination (relative to whites) for the eight
largest Hispanic and eight largest black metropolitan areas.
• An analytic exploration of sales steering, which is the practice of real estate agents guiding minority
homeseekers away from homes in integrated or white neighborhoods by offering homes in minority
neighborhoods.
• Statistically valid national estimates of change in rental and sales discrimination to continue
documentation of the HDS series.
Before presenting our detailed approach to sampling sites, we should point out the trade-off between
sampling for good current national estimates versus sampling to get the best estimate of change over time.
In HDS2000, our initial sample of metro areas for black-white and Hispanic-Anglo testing retained
the sites used in the 1989 sample to enhance the precision of estimated change-over-time measures. A
subsequent wave of testing in HDS2000 added new metro areas to yield more precise point-in-time
national estimates. A primary objective of HDS2000 was to obtain good trends estimates. Examining
the 1989 to 2000 change in discrimination was meaningful in the sense that homeseeker behavior had
not changed substantially during the interim. That is not the case for HDS2012, as reflected in the study
objectives listed above. For the current study, it is more important to obtain good estimates of current
national levels of rental and sales discrimination. This is quite reasonable given the dramatic changes in
technology, market practices, and market conditions that have occurred over the past decade.
Accordingly, we drew a new sample of metropolitan testing sites based on data from the 2008 American
Communities Survey (ACS) to reflect the current distribution of black, Hispanic, and Asian households.
This approach produces less precise estimates of national changes over time but more accurate estimates
of current patterns of discrimination.

iii. SamPLiNG aND aNaLySiS mEtHODS
14 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Sample of Metropolitan Areas
Ideally, the HDS2012 would employ three independent samples of metropolitan sites, with each tailored to
a specific minority being tested. Unfortunately, this was not practicable for cost and logistic reasons because
it would maximize the distinct number of sites within which testing would occur. Thus, our sampling
approach focused on an “integration strategy” that would employ a probability sample of 28 distinct
metropolitan areas rather than (28 x 3) = 84 sites. Under this strategy, minority-specific testing would
occur for one, two, or all three minority groups in a given metropolitan area based on a sampling process
that assigns minority testing groups to sites. In this subsection we discuss how this was accomplished.
We begin our discussion by describing the necessary restriction of metropolitan areas within which
testing could be conducted. This involves a concept of population coverage. Ideally, the HDS2012
metropolitan site sampling would achieve 100 percent “coverage” of all metropolitan areas in the United
States. But if testing was conducted in a metro area that was too small, the risk of detection would be
unacceptably high. On the other hand, excluding metropolitan areas from the possibility of testing
reduces the coverage of metropolitan sites and introduces the risk of noncoverage bias in the resulting
discrimination estimates. So a proper balance must be achieved—to reduce the risk of detection by
eliminating metropolitan sites from testing, yet retain sufficient numbers of metropolitan areas to avert
the risk of noncoverage bias.
We analyzed the housing market distribution across metropolitan areas based on total household
estimates from the 2008 ACS. The smallest 159 metro areas (out of 298 in the United States) featured
total household counts of fewer than 145,000. These 159 metros represented only about 10 percent of
black, 9 percent of Hispanic, and less than 7 percent of Asian households. We excluded these areas from
HDS2012 testing. Their exclusion would have negligible impact on estimates of discrimination because
of the small amounts of the minority populations they represent. We also excluded other metropolitan
sites depending on the racial or ethnic group being tested. The results were as follows:
• For black testing, we retained metro areas representing 88 percent coverage of all black households in
the United States.
• For Asians, excluding 213 sites (the original 159 plus 54) achieved an overall coverage of 90 percent
of Asian rental households.
• A similar exclusion for Hispanic sites achieved 88 percent coverage.
These coverage levels are reasonable and reduce the disclosure risk associated with sampling sites for
testing a racial or ethnic group when in fact few if any members of that group live in the metro area.
The 28 metropolitan sites used in HDS2012 testing represent three separate samples:
• 26 distinct metro sites for black testing.
• 26 distinct sites for Hispanic testing.
• 23 distinct sites for Asian testing.
The first three rows of Exhibit III-1 summarize the sample site integrated design. The same sites are used
for both rental and sales testing for each minority group.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 15
Exhibit III-1: Summary of HDS2012 Integrated Sampling Plan
Design feature Approach used
Total number of distinct testing sites 28
Number of sites for black testing 26
Number of sites for Hispanic testing 26
Number of sites for asian testing 23
Subset of sites for metro-specific results
Black/white 8
Hispanic/anglo 8
Total number of tests
Black/white 2,999
Hispanic/Anglo 2,998
Asian/white 2,248
A primary study objective called for separate rental discrimination estimates for the eight largest black
rental metro areas and the eight largest Hispanic rental metro areas. We identified these sites by first
ranking metro areas from largest to smallest according to the numbers of renter households using
2008 ACS data. We did this separately for black, Hispanic, and Asian renter households to examine
commonalities. Twelve metro areas were identified that collectively include the
• Eight metro areas with the highest number of black renter households.
• Eight metro areas with the highest number of Hispanic renter households.
• Two metro areas with the highest number of Asian renter households.
These 12 metro areas account for 37 percent of black renters, 46 percent of Hispanic renters, and 41
percent of Asian renters in the United States. Clearly, there was a natural overlap in minority household
distributions across the United States. We designated these 12 areas as self-representing for one, two, or all
three minority groups. We then sampled 16 additional non-self-representing sites via stratified probability
sampling (discussed below) to achieve 28 total distinct sites for testing (Exhibit III-2).
Exhibit III-2: Distribution of 28 Distinct Sites by Racial/Ethnic Testing
and Self-Representing Status for the HDS Sample
Self-representing for
at least one group
Non-self-representing Total
Black testing 8 18 26
Hispanic testing 8 18 26
asian testing 4 19 23
Distinct sites 12 16 28

iii. SamPLiNG aND aNaLySiS mEtHODS
16 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
For the HDS, the term certainty site denotes the metro areas within which testing was conducted with
certainty for at least one racial or ethnic minority. Exhibit III-3 illustrates how the 12 certainty sites were
integrated for racial/ethnic testing. The leftmost column shows the testing groups included with certainty
for a given metro area. Black, Hispanic, and Asian testing was conducted with certainty in four large
metro areas: New York, Los Angeles, Chicago, and Houston. The remaining 12 sites were designated as
having one or two racial/ethnic groups for testing, although there was a chance that testing could have
been conducted for two or all three groups, as shown in the rightmost two columns of Exhibit III-3.
Exhibit III-3: HDS Certainty Metro Sites by Minority Testing Configuration
Testing Site
Black, Hispanic, Asian
New york-Northeastern NJ
Los angeles-Long Beach, ca
chicago-Gary-Lake, iL
Houston-Brazoria, tx
Hispanic and black
atlanta, Ga
Potential Asian sites
Washington, Dc/mD/va
Philadelphia, Pa/NJ
Detroit, mi
Hispanic only
Dallas-Fort Worth, tx
Potential black sites
riverside-San Bernardino, ca
San Diego, ca
miami-Hialeah, FL
The eight metro areas with the largest black and Hispanic renter populations are listed in Exhibit III-4.
To meet the second study objective, separate estimates of black and Hispanic rental discrimination
were required (see Exhibit III-4 column headings). Taken together, the two columns identify 12
distinct metro areas (as indicated by the bold lettering on the left of each metro site). Separate rental
discrimination estimates for rental housing were provided for these sites. Note that this includes
Atlanta, the only metro area where HDS2000 found levels of black/white rental discrimination
significantly above the national average.
Exhibit III-4: Self-Representing Metropolitan Areas
Top 8 Metro Areas in Rental Housing by Race or Ethnicity
Black (non-Hispanic) Hispanic
A New york-Northeastern NJ E Los angeles-Long Beach, ca
B chicago-Gary-Lake, iL a New york-Northeastern NJ
C atlanta, Ga H Houston-Brazoria, tx
D Washington, Dc/mD/va W miami-Hialeah, FL
E Los angeles-Long Beach, ca B chicago-Gary-Lake, iL
F Philadelphia, Pa/NJ X riverside-San Bernardino, ca
G Detroit, mi Y Dallas-Fort Worth, tx
H Houston-Brazoria, tx Z San Diego, ca
Source: 2008 american community Survey.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 17
The remaining non-self-representing sites were selected via stratified sampling with probabilities
proportional to racial/ethnic-specific rental housing. Sampling strata were formed by assembling sites into
groups according to the dominant black/Hispanic/Asian population distributions.
To see how non-certainty sites were selected, consider Exhibit III-5. The table shows the number of sites
selected in each of eight strata (rows) and the percentages of black, Hispanic, and Asian rental households
that fall into each stratum.
19
The top four rows represent the 12 certainty strata, while the bottom four
rows depict the non-certainty strata.
Exhibit III-5: Sampling Strata for the 2012 HDS
Number of sites
% black rental
households
% Asian rental
households
% Hispanic rental
households
Black, Hispanic, asian 3 19% 30% 31%
top black & Hispanic 1 3% 2% 5%
top black 4 16% 8% 4%
top Hispanic 4 5% 6% 14%
Large black stratum 25 29% 9% 9%
Large Hispanic stratum 23 7% 13% 26%
Large asian stratum 25 9% 32% 12%
residual–black 54 13% – –
Total 139 100% 100% 100%
Note: Percentages are normed.
Recall that a certainty site required that at least one of three racial/ethnic minorities be tested with certainty.
In Exhibit III-5, testing on all three minority groups was performed in four sites: the three sites in the first
row, labeled “Black, Hispanic, Asian,” and the single site in the second row, labeled “Top black & Hispanic.”
For the eight distinct “certainty” sites represented by the next two rows (i.e., the third and fourth rows)
labeled “Top black” and “Top Hispanic,” respectively, we drew a subsample of sites to determine which
would be used for testing two or all three minority groups. Similarly, 18 sites were sampled from the
bottom four strata (rows).
19
This table does not show the metro sites in the United States that were excluded from selection using a minimum threshold of 145,000 households and other criteria; collectively the excluded
areas represent the smallest metro areas in the nation and account for only 12–14 percent of black, Hispanic, and Asian rental housing.

iii. SamPLiNG aND aNaLySiS mEtHODS
18 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit III-6 shows the results of the site sampling effort. The columns present the number of sampled sites
by sampling stratum for black, Hispanic, and Asian testing. For instance, the large black stratum contains
25 metro areas (as seen in Exhibit III-5), which are characterized by large numbers (and percentages) of
black rental households (relative to those of Hispanics and Asians). Seven sites were selected for black
rental and sales testing; these seven were sampled with probabilities proportional to black rental housing.
From these seven, five were then subselected for Asian testing and six were subselected for Hispanic testing.
The Asian and Hispanic subsamples were selected independently with probabilities proportional to their
respective race/ethnic group rental housing and inversely proportional to the initial selection probability
of the seven black sites. This approach yielded sites for Asian and Hispanic testing that are selected with
probabilities proportional to their respective race/ethnic group. Mathematically, metro site (i) for this
stratum had the following selection probabilities by race/ethnic group:
Site selection probability for black testing = 7 x m(i) /M = 7 x p(i),
where m(i) represents the number of black rental households in metro area i and M represents the total
black rental households in the stratum. Given that seven black sites were selected with probabilities
proportional to black rental housing, subsamples of sites for Asian and Hispanic testing (from the seven
selected black sites) were then subselected using conditional probabilities as follows:
Conditional site selection probability for Asian testing = 5 x a(i)/[A x 7 x p(i)], and
Conditional site selection probability for Hispanic testing = 6 x d(i)/[D x 7 x p(i)],
where a(i), A, d(i), and D represent analogous quantities for Asian and Hispanics, respectively.
Exhibit III-6: Number of Sites Sampled by Stratum and Race/Ethnic Group
Black site
allocation
Asian site
allocation
Hispanic site
allocation
Distinct sites
Black, Hispanic, asian 3 3 3 3
top black & Hispanic 1 1 1 1
top black 4 3 4 4
top Hispanic 3 3 4 4
Large black stratum 7 5 6 7
Large Hispanic stratum 4 4 4 4
Large asian stratum 3 4 4 4
residual–black 1 – – 1
Total 26 23 26 28
Thus, Asian sites are sampled with overall probabilities proportional to Asian rental housing, and
Hispanic sites are similarly sampled proportionally to Hispanic rental housing:
Overall site selection probability for Asian testing = (5/7) x a(i)/A, and
Overall site selection probability for Hispanic testing = (6/7) x d(i)/D.
The basic strategy for the integrated sample of sites was that of approaching as closely as possible a sample
of black, Hispanic, and Asian sites whose selection probabilities are proportional to their respective race/
ethnic groups’ rental households counts. The process described above was repeated for each non-certainty
sampling stratum in Exhibit III-6.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 19
The stratum name signifies the racial or ethnic group that started the sequenced sampling. For
instance, the “large Asian stratum” contains 25 metro areas with predominant percentages of Asian
rental households (relative to those of Hispanics and blacks). Four sites were selected with probabilities
proportional to Asian rental households for Asian and Hispanic testing, while three of these four sites
were subsampled for black testing.
Sampled Sites and Targeted Tests
Exhibit III-7 lists actual sites selected into the HDS2012 and their corresponding targeted numbers
of tests by test type (rental and sales) and race/ethnic group. Roughly 4,900 rental and 3,400 sales
tests were targeted across the 28 distinct sites. The 12 sites for which separate metro estimates of rental
discrimination were needed were each assigned a target of 135 rental tests. All other sites were assigned
44 to 46 rental tests for blacks and Hispanics and 46 to 47 rental tests for Asians (except the three largest
metro areas and the large minority metro, which were assigned 60). This totaled about 1,880 rental tests
each for blacks and Hispanics, and 1,121 for Asians.
For sales testing there was no need to provide separate estimates of discrimination for specific metro areas,
so the tests were spread more evenly across the sample of sites to increase statistical precision. Forty-three
sales tests were assigned to each metro area for blacks and Hispanics, and 49 were assigned to each Asian
site. This totaled about 1,120 sales tests each for blacks, Hispanics, and Asians.
Actual Tests Conducted
Exhibit III-8 tabulates the in-person paired tests that have been completed by site, race/ethnicity, and test
type. In addition to those tests listed, we conducted a number of “partial tests” in which one tester was
not able to get an appointment to see the home. In some sites, groups conducted fewer in-person tests
than they had been asked to complete, for two reasons. First, Boston fell substantially short of its target
number of tests, owing to market conditions and other operational challenges. This resulted in a small
reduction in statistical precision but a negligible impact on the study’s ability to detect discrimination.
Second, when only one tester was able to make an appointment for an in-person visit, groups submitted
“partial tests” if they completed data entry for both testers for the appointment contact phase of the test.
These partial tests are central to the analysis of differential ability to get an appointment, even though
they provide no information about differential treatment during the in-person visit.
A comparison of Exhibits III-7 (targeted) and III-8 (actual) reveals a very successful field operation. Actual
tests completed were within 6 percent of targets for both rental and sales tests for three racial/ethnic groups,
with only one exception. Hispanic sales tests came within 9 percent of the target. Moreover, within-site field
performance (by tenure and racial/ethnic group) was successful in the vast majority of sites.

iii. SamPLiNG aND aNaLySiS mEtHODS
20 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit III-7: Site Selections and Target Numbers of Tests by Sampling Stratum
RENTAL TESTS SALES TESTS
Total
rental
Total
sales
Total
all
tests
Stratum Site Black Hispanic Asian Black Hispanic Asian
Largest
MSAs
5600: New york-Northeastern NJ 135 135 60 43 43 49 330 135 465
1600: chicago-Gary-Lake, iL 135 135 60 43 43 49 330 135 465
4480: Los angeles-Long Beach, ca 135 135 60 43 43 49 330 135 465
Large
black
8840: Washington, Dc/mD/va 135 46 46 43 43 49 227 135 362
6160: Philadelphia, Pa/NJ 135 46 46 43 43 49 227 135 362
520: Atlanta, GA 135 46 46 43 43 49 227 135 362
2160: Detroit, mi 135 46 – 43 43 – 181 86 267
Large
minority
3360: Houston-Brazoria, tx 135 135 60 43 43 49 330 135 465
Large
Hispanic
5000: miami-Hialeah, FL 47 135 – 43 43 – 182 86 268
6780: riverside-San Bernardino, ca 47 135 47 43 43 49 229 135 364
1920: Dallas-Fort Worth, tx 47 135 47 43 43 49 229 135 364
7320: San Diego, ca – 135 47 – 43 49 182 92 274
Black
5605: Newark, NJ 44 44 46 43 43 49 134 135 269
8280: tampa-St. Petersburg-
clearwater, FL
44 44 46 43 43 49 134 135 269
3760: Kansas city, mO-KS 44 44 46 43 43 49 134 135 269
3120: Greensboro-Winston
Salem-High Point, Nc
44 44 – 43 43 – 88 86 174
1680: cleveland, OH 44 44 46 43 43 49 134 135 269
720: Baltimore, mD 44 44 46 43 43 49 134 135 269
6760: richmond-Petersburg, va 44 – – 43 – – 44 43 87
Hispanic
4482: Orange county, ca 44 44 46 43 43 49 134 135 269
7240: San antonio, tx 44 44 46 43 43 49 134 135 269
1921: Fort Worth-arlington, tx 44 44 46 43 43 49 134 135 269
200: albuquerque, Nm 44 44 46 43 43 49 134 135 269
Asian
7400: San Jose, ca – 44 47 – 43 49 91 92 183
1120: Boston, ma 44 44 47 43 43 49 135 135 270
7600: Seattle-Everett, Wa 44 44 47 43 43 49 135 135 270
5604: middlesex-Somerset-
Hunterdon, NJ
44 44 47 43 43 49 135 135 270
Small
black
1760: columbia, Sc 44 – – 43 – – 44 43 87
Total tests 1,881 1,880 1,121 1,118 1,118 1,127 4,882 3,363 8,245

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 21
Exhibit III-8: In-Person Paired Tests Conducted by Site, Race-Ethnic Group and Test Type
Actual Number of Tests
RENTAL TESTS SALES TESTS
Total
rental
Total
sales
Total
all
tests
Stratum Site Black Hispanic Asian Black Hispanic Asian
Largest
MSAs
New york-Northeastern NJ 135 139 70 54 42 49 344 145 489
chicago-Gary-Lake, iL 118 108 44 35 39 39 270 113 383
Los angeles-Long Beach, ca 160 135 60 43 44 52 355 139 494
Large
black
Washington, Dc/mD/va 134 69 46 38 40 45 249 123 372
Philadelphia, Pa/NJ 133 45 40 39 43 41 218 123 341
atlanta, Ga 135 48 48 51 39 51 231 141 372
Detroit, mi 137 50 – 37 31 – 187 68 255
Large
minority
Houston-Brazoria, tx 134 134 62 43 43 51 330 137 467
Large
Hispanic
miami-Hialeah, FL 49 134 – 40 43 – 183 83 266
riverside-San Bernardino, ca 49 135 48 43 42 49 232 134 366
Dallas-Fort Worth, tx 58 135 47 43 43 49 240 135 375
San Diego, ca – 131 48 40 – 46 179 86 265
Black
Newark, NJ 43 46 46 47 44 48 135 139 274
tampa-St. Petersburg-
clearwater, FL
46 46 43 46 37 46 135 129 264
Kansas city, mO-KS 44 43 47 42 43 47 134 132 266
Greensboro-Winston
Salem-High Point, Nc
42 50 – 41 43 – 92 84 176
cleveland, OH 44 45 46 46 47 51 135 144 279
Baltimore, mD 51 45 50 53 43 49 146 145 291
richmond-Petersburg, va 45 – – 41 – – 45 41 86
Hispanic
Orange county, ca 44 44 46 43 43 49 134 135 269
San antonio, tx 44 44 49 43 46 48 137 137 274
Fort Worth-arlington, tx 44 44 46 43 43 49 134 135 269
albuquerque, Nm 47 44 48 41 43 47 139 131 270
Asian
San Jose, ca – 44 47 – 43 50 91 93 184
Boston, ma 22 9 16 12 12 9 47 33 80
Seattle-Everett, Wa 44 43 47 41 39 47 134 127 261
middlesex-Somerset-
Hunterdon, NJ
46 44 48 43 43 48 138 134 272
Small
black
columbia, Sc 44 – – 43 – – 44 43 87
Total tests 1,892 1,854 1,092 1,131 1,018 1,060 4,838 3,209 8,047

iii. SamPLiNG aND aNaLySiS mEtHODS
22 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Sampling Available Housing
The approach used to sample rental and sales ads for testing was developed with the following two
objectives:
• To draw random samples of ads from sources commonly used by rental housing seekers and
homebuyers.
• To develop an efficient sampling mechanism that automates the selection and processing of ads as
much as possible.
An important aspect of ad sampling involved identifying the appropriate frame from which to draw the
sample. Since HDS2000 was conducted, Internet advertising has become increasingly widespread in both
rental and sales markets, and the use of print sources has substantially declined. Large ad-accumulation Web
sites for both rental and sales are available throughout most metropolitan areas across the country. However,
the specific advertising portals differ for sales and rental markets. That is, a portal for sales may not be
appropriate for rental housing, and vice versa. Thus, different websites were used to draw rental and sales ads.
Our sampling approach electronically harvested sales and rental ad listings from the Web. Quality control
(QC) operations, eligibility determination, and final allocation of sample to local test coordinators were
conducted by computer program before issuing ads to the field.
The general overview of the framework was as follows:
• Electronic harvesting of ads.
• QC and purging of ineligible ads.
• Geographic sampling of ads in proportion to rental housing (for rental tests) and home mortgage
activity (for sales testing) by ZIP Code.
• Release of ads to test coordinators for review and assignment to testers.
Electronic harvesting was conducted using separate e-mail queries for each site. The ZIP Code-based
queries were performed on several websites and continuously generated ads during the testing field
period. The harvested ads were parsed and stored in database tables for further processing and sampling.
Well over 2 million ads were harvested over the course of the testing period.
The sales ad sampling process used real estate sites’ capabilities to issue daily e-mail notifications of new
listings based on user-specified searches. We identified several major Web sources of real estate sales ads
that covered all or parts of the United States. Each website provided access to listings found in the MLS.
The websites allowed users to create e-mail notifications based on predefined real estate searches. The
e-mail alerts were set to generate daily updates of new listings. Although the search criteria for each
site varied, we employed standard search criteria common to all sites (e.g., ZIP Code, upper and lower
bounds on listing price).
To control the number of ads received in any single e-mail, we confined searches by geography based
on a sample of ZIP Codes rather than harvesting ads from the entire metropolitan area. In this way the
number of ad returned was sufficient for weekly testing.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 23
Sales ads were harvested from major Internet ad sources according to the following process:
1� Ad Harvesting and Quality Control
A. E-mail accounts were set up for a specific MSA/ZIP Code (or groups of ZIP Codes) cohort.
B. E-mail alert notification requests were established at selected real estate Web portals; these sources
were rotated weekly to randomize the order of the ads being sampled for testing. The e-mail alerts
were sent to the corresponding e-mail account.
C. Using a Web application, ads were harvested from the e-mail accounts and the text was parsed
into specific pieces of information (address, price, number of bedrooms, etc.) and stored in a
database table.
D. QC was performed by computer program to remove ineligible ads (e.g., remove duplicates, short
sales, listings outside the desired price range).
2� Sampling Ads and Assignment to Local Test Coordinators
A. Eligible ads were sorted via a randomly generated number that was assigned when the ad was
harvested.
B. Ads were assigned to test coordinators for further review, processing, and assignment.
C. As needed, additional websites were added to augment the ads from the major Web sources.
Many of these sites were suggested by the local testing organizations.
The approach for rental units sampling was the same as the approach for sales, with a few modifications.
We used Craigslist for each metropolitan area, supplementing with additional websites in some areas.
Our ad sampling approach generated a sample of ads that was spread geographically according to the
distributions of rental housing for rental testing and housing purchases (via counts of home mortgages)
for sales testing. The sampling process employed a two-stage approach. First, two large and independent
random samples of ZIP Codes (10,000 each) were generated according to the percentage distributions of
rental housing (for rental tests) and home mortgages (for sales tests). These samples essentially represent
samples of ZIP Codes selected with probabilities proportional to size. The pools of rental and sales ZIP
Codes were then randomized and assigned weekly (as needed) to generate ad samples. Once a randomly
sampled ZIP Code was selected for a week of field testing, the corresponding ads harvested during that
week were pooled and randomly sampled for possible assignment to the field. Ideally, 10 ads per ZIP
Code were sampled, and the first “eligible” ad encountered in the pool of 10 randomly sampled was
released to the test coordinators for processing and testing.
20

To allocate the ads for sales, we used the 2009 HMDA data on volume of home purchase loans by census
tract. For rental ads, we used the ZIP Code-level counts of rental housing from the 2009 ACS, which
were the most recent data available. A crosswalk from tract to ZIP Codes available from the U.S. Postal
Service (and released via HUDUSER) was used to create the ZIP Code sampling frame for each site.
20
Some or all of the 10 ads for a given sampled ZIP Code could be deemed ineligible by the test coordinator if, for instance, a duplicate ad was not caught by the computer program or if the
realtor (sales) or landlord (rental) had recently been tested using another property.

iii. SamPLiNG aND aNaLySiS mEtHODS
24 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
A key ad sampling design feature in our approach involved the sampling of fresh ad listings, since this
mimics the actual behavior of homeseekers. Fresh/new listings tend to garner more interest from both
agents and homeseekers. To the extent possible, we sampled from the freshest ads available. This required
continuous ad harvesting and updating for all ZIP Codes in a metro site. After an initial harvest to
establish existing inventory at the start of the field process, new listings (i.e., ads that had not previously
been published) were continuously harvested. As new listings appeared in our daily or weekly harvesting
cycle, they were given selection priority for use in testing. If the number of new ads exceeded the number
needed for testing, then a subset would be randomly sampled. When the volume of new listings fell short
of the number needed for testing, the balance would be drawn randomly from the preexisting inventory.
Midway through the testing field period, we assessed each metro site to examine whether the sampling of
ads generated any “geographic holes,” defined as neighborhoods or communities that were not covered
by the ad sampling. Holes could occur if all or most of the rental or sale homes in a community are not
advertised through the population Web venues. Our spatial mapping analysis suggested that geographic
holes were not a problem.
Analysis Weights
The framework we adopted to generate statistically valid estimates is that of classical finite population
sampling. However, the finite population used to invoke this theory is neither the housing nor rental ad.
It is the collection of metro areas in the United States. Thus, our framework adopts probability sampling
of metro sites in order to use finite population sampling theory to make inference to all metro areas in the
nation. Paired-testing data are used to develop estimates of discrimination in each site. The sites were then
combined using the stratum weights to provide statistically valid national estimates of discrimination.
This basic logic drives how the paired-test level data were weighted.
Viewed from this perspective, two weighting tasks were addressed:
• Weighting of paired tests to develop valid estimates of metro-level discrimination.
• Weighting of sites to combine them into a national estimate.
All tests within a metro area were assigned the same individual weight.
Sampling of sales and rental ads within a metro area is a complex venture because of the eligibility and
disclosure-avoidance rules that must be implemented. For instance, tracking multiple appearances of ads,
landlords, and/or real estate agents in different ad frames over continuous harvesting and sampling of ads
was neither feasible nor necessary. Instead, random samples of available ads were drawn subject to the
eligibility rules necessary to avert disclosure and retain relevance (e.g., room rentals are not eligible).
Sales and rental ads were sampled in a way that geographically reflected rental and sales housing within a site
by first sampling ZIP Codes with probability proportionate to size (pps) and then sampling an ad within
the selected ZIP Code for a paired test. This approximately mimics a common equal probability sample
design under a two-stage sample with pps and a fixed sample size drawn from the first-stage sampling unit.
We therefore decided to weight tests equally within each site both for the national estimates and when
metro-specific analyses were conducted. That is, the analysis of tests within sites is unweighted.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 25
Weighting across sites was based on the site selection probabilities. Sites were selected with known
selection probabilities. Under finite population sampling theory, a sampling weight equal to the
reciprocal of the selection probability will produce statistically valid national estimates of rental and sales
discrimination. However, because of inevitable variation in numbers of tests across sites, we employed
poststratification so the weight of tests reflects the geographic distribution of rental and sales housing
across sampling strata. Thus, poststratification aligned the data to known minority-specific rental and
sales home distributions across sampling strata.
Our strategy for weighting to create national estimates is that metro-level estimates of discrimination can
be developed using the paired tests conducted in each site. Sites represent either themselves (certainty
site, also called a self-representing stratum) or a (non-certainty) sampling stratum. A national estimate
can be developed by applying the stratum weight associated with each respective site to its corresponding
site estimate:
ˆy=∑
h
W
h
y
h
(1)
where y denotes the national estimate, h indexes the sampling strata, W
h
represents the sampling stratum
weights, and y
h
represents the estimate of discrimination for sampling stratum h. Note that the estimate
of discrimination for sampling stratum h may contain the paired tests of one site (e.g., certainty site), or
those of several sites.
Poststratification adjustments were created for the six domains that comprise HDS: the cross-
classification of minority group (black, Hispanic, Asian) by housing tenure (renter, owner). Exhibit III-9
contains the control proportions for each sampling stratum by race or ethnic group and test type.
ˆ

iii. SamPLiNG aND aNaLySiS mEtHODS
26 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit III-9: Stratum Weights for HDS Analysis

SALES RENTAL
Stratum weights by group Stratum weights by group
Stratum Sites Black Hispanic Asian Black Hispanic Asian
Largest
MSAs
5600: New york-Northeastern NJ 4.4% 3.0% 5.4% 9.4% 13.0% 12.6%
1600: chicago-Gary-Lake, iL 5.3% 6.0% 5.0% 5.6% 4.1% 3.9%
4480: Los angeles-Long Beach, ca 2.7% 10.4% 9.2% 3.7% 13.9% 13.6%
Large black
8840: Washington, Dc/mD/va 7.0 % 2.3% 11.0% 4.3% 1.7% 7.6 %
6160: Philadelphia, Pa/NJ 3.9% 1.0% 3.5% 1.0%
520: atlanta, Ga 7.7% 1.3% 4.7% 1.4%
2160: Detroit, mi 3.5% 0.6% 3.3% 0.4%
Large
minority
3360: Houston-Brazoria, tx 2.8% 5.4% 2.7% 3.0% 4.6% 1.9%
Large
Hispanic
5000: miami-Hialeah, FL 5.1% 5.9% 4.9% 4.1%
6780: riverside-San Bernardino, ca 5.9% 7.5% 3.4% 6.1%
1920: Dallas-Fort Worth, tx 3.3% 3.3%
7320: San Diego, ca 2.4% 2.7%
Black
5605: Newark, NJ 30.2% 10.1% 10.5% 29.2% 8.8% 9.0%
8280: tampa-St. Petersburg-
clearwater, FL
3760: Kansas city, mO-KS
1680: cleveland, OH
720: Baltimore, mD
3120: Greensboro-Winston Salem-High
Point, Nc

6760: richmond-Petersburg, va
Hispanic
4482: Orange county, ca 7.4% 31.0% 15.2% 7.1% 25.6% 13.4%
7240: San antonio, tx
1921: Fort Worth-arlington, tx
200: albuquerque, Nm
Asian
7400: San Jose, ca 11.3% 33.4% 12.0% 32.0%
1120: Boston, ma 6.8% 8.5%
7600: Seattle-Everett, Wa
5604: middlesex-Somerset-Hunterdon,
NJ
Small black 1760: columbia, Sc 13.1% 12.8%
Total 100% 100% 100% 100% 100% 100%

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 27
Implicitly, the final analytic weight for any given national analysis will be the product of the three
components:
• The within-site ad weight.
• The site sampling weight.
• A post-stratification adjustment.
But since the paired tests are approximately self-weighting within a site (by design), the only weight
adjustment that was necessary is poststratification.
Operationally, we calculated test-level analytic weights separately for each outcome analysis because the
number of tests available for a specific outcome could vary due to missing data and/or using a subset of
the data.

For example, “able to make an appointment” would have many more tests than “number of
homes shown” because the latter analysis uses only a subset of the former tests. We first took the total
number of sites within a stratum and gave the site an equal share of the stratum weight. If a stratum
weight has a value of W and was represented by three sites, then the sets of tests from each site in that
stratum were allocated a weight of W/3. Then the paired-test analytic weights were calculated separately
within each site for a given outcome. The end result is that (1) each site in a stratum contributes an equal
share to the stratum weight, and (2) each paired test within a site contributes equal shares of weight to its
constituent site total.
21
Measuring Differential Treatment
One strength of paired testing is that it provides a detailed picture of the forms discrimination takes, not
just a single “yes or no” answer. This is important because forms of discrimination have changed over
time and patterns of discrimination differ across protected classes. For example, outright refusal to make
units available to blacks was common in 1977 but rare by 2000. Geographic steering increased between
1989 and 2000 for black homebuyers, but not for Hispanics. And in 2000, Hispanic homebuyers
were particularly likely to experience inferior assistance and advice about financing. Understanding
these specifics is essential for effective fair housing enforcement, public education efforts, and training
of housing providers. In addition, however, it is important to report to the public understandable
summary measures that capture the overall incidence of differential treatment and reveal trends over time.
Therefore, we report both “headline” measures of discrimination and more detailed indicators of the
various forms that discrimination might take.
In the remainder of this subsection, we first discuss the issues of using gross and net measures of
discrimination and explain our approach. We then describe a new strategy for summarizing the findings
across many treatment indicators into headline measures of discrimination, followed by a description
of our approach to analyzing geographic steering for sales tests. Finally, we discuss our approach to the
analysis of differences.
As in previous discrimination studies, we report both gross and net measures of differential treatment for
each element of treatment being analyzed.
21
For some of our analyses, it was necessary to smooth the weights within a stratum by assigning average weights to all tests in the stratum. This occurred, for example, in the tests for the
stratum containing Boston, because of the small number of tests conducted there. This smoothing reduced extreme weight variability and stabilized stratum estimates, ensuring that the tests
from a single site would not be weighted heavily relative to tests from other sites in the stratum.

iii. SamPLiNG aND aNaLySiS mEtHODS
28 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Gross measures represent the share of all tests in which the white homeseeker is favored over the minority
tester. Some tests yield the opposite result (for at least some indicators), with the minority favored over
the white tester. Therefore, we report the incidence of favored treatment for both the white and minority
testers. Although gross measures of differential treatment are easily understandable, we believe that they
generally overstate the frequency of systematic discrimination because nondiscriminatory random events
are responsible for some portion of observed treatment.
We also report net measures of discrimination, defined as the proportion of white-favored treatment
minus the proportion of minority-favored treatment, along with corresponding measures of statistical
significance. For a given measure, the net measure provides a direct estimate of the degree of disadvantage
in the rental or sales markets for minorities compared with whites. In general, the net measure provides
a lower-bound estimate of systematic discrimination in favor of whites. To the extent that minorities are
systematically favored over whites in some share of housing inquiries (reverse discrimination), the net
measure will understate the incidence of discrimination against minorities.
For those outcomes of a test that can be measured in amounts (e.g., number of recommended units and
rent), we report the average amount for the white and minority tester and then report the net difference
in the average amounts as a measure of the severity of discrimination. Because the difference is measured
over a common set of tests, it provides a meaningful measure of the average degree of differential
treatment of minorities relative to whites.
Gross measures of adverse treatment of minority homeseekers receive less emphasis in this report than
in past national studies, because analyses over the past 25 years strongly suggest that they include
substantial random differences in treatment, and that net measures more accurately reflect the systematic
disadvantages faced by minority homeseekers. One important source of evidence on this issue is the small
sample of three-part tests conducted as part of HDS2000. In these tests (conducted in two metropolitan
areas), the in-person visit by a white tester was followed by two minority visits or the visit by a minority
tester was followed by two white visits, all following the same protocols. Comparing the treatment of
the two same-race testers provides a direct estimate of random (not race- or ethnicity-based) differential
treatment. This exploratory triad testing effort suggested that most, if not all minority-favored treatment
is random; it provides no convincing evidence that minority-favored treatment systematically exceeds
differences in the treatment of same-race testers (see Turner and Ross 2003a).
For HDS2012, we adopted a new approach to summarize the findings across the many treatment
indicators. We report seven key measures that we believe together provide a rounded picture of both the
incidence and the severity of differential treatment over the natural course of a test. We then combine
these into two overall measures that we believe concisely summarize the findings across the various stages
of the test.
The seven summary measures represent treatment milestones in the sequence of events that comprise a
paired test. They are best explained by discussing them in the context of a test:
1. For each test, we first measure whether both testers of a pair were able to obtain an appointment
with an agent or meet with an agent (in the case of drop-ins). Summary measure #1 reports
differential denial of in-person meeting.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 29
2. For tests in which both testers obtained appointments, we then measure whether both were told
that a unit is available. Summary measure #2 reports differential denial of available units.
3. For tests in which both testers obtained appointments, we also measure the average number of units
recommended. Summary measure #3 reports differential number of units recommended.
4. For tests where units were available to both testers, we then measure the number of units inspected.
Summary measure #4 reports the differential number of units shown.
5. For those tests where units were available for both testers, we created an index of agent helpfulness
based on four individual items, with some elements of the index differing for rentals and sales.
22

For these measures we add 1 to the index if a tester has a positive outcome on an item. Summary
measure #5 reports the differences between testers in agent helpfulness.
6. For those tests where units were available for both testers, we also report the average rent or price
for the recommended units for each tester. Summary measure #6 reports the differential rent or sales
price.
7. For sales tests where units were available to both testers, we measure the severity of racial steering,
based on a comparison of the average percentage of non-Hispanic whites in the census tracts where
the white and minority testers are shown homes. Summary measure #7 (for sales tests only) reports
differential neighborhood racial/ethnic composition.
The first two of these measures highlight the frequency with which agents deny minority homeseekers
access to available housing units, while the remaining measures reflect the severity of differential treatment
experienced by minority homeseekers who gain access.
23
The net measures for the number of units
available, the number of units shown, the agent helpfulness index, rents and prices, and neighborhood
racial/ethnic composition provide solid and continuous measures of the severity of differential treatment.
An agent who tells a customer about more available units is likely to be taking the prospective renter or
buyer more seriously. For a given agent, a larger difference in the number of units shown to the white
and minority testers should reflect the level of investment the agent is willing to make. Similarly, an agent
who favors one tester on cost and multiple customer service items is giving that tester an advantage in the
renting or home buying process.
This sequence of measures provides an easily understandable description of differential treatment in
today’s housing markets that no single measure can communicate. It follows the natural sequence of
the interaction between homeseeker and housing provider, which is appealing for ease in conveying the
findings and allows reliance on data for the inspections, cost, and encouragement elements measured for
only those cases where an actual unit was available.
24

We combine key elements of these seven measures into two overall summary measures: the overall
average number of homes recommended to a tester and the overall average number of homes inspected
by a tester. We estimate these summary measures by combining information on whether testers got an
22
For rental tests, we add one point to the index for each of the following: tester told about more available units, tester told rent is negotiable, tester given application to fill out or take home, and
agent made arrangements for future contact. For sales tests, we include agent volunteered to help find financing, agent offered to prequalify tester, length of visit longer by more than an hour,
and agent made arrangements for future contact.
23
The Urban Institute implemented a similar, sequential approach to summarize results from its employment discrimination studies.
24
This same sequential approach is applied to the detailed (gross and net) measures for the individual elements of each test. That is, availability measures are reported only for tests in which both
testers were able to meet with an agent; and inspections, cost, and encouragement outcomes are presented for the subsample of tests in which both testers were told that at least one unit was
available.

iii. SamPLiNG aND aNaLySiS mEtHODS
30 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
appointment with the average number of units recommended or shown for all those who met with an
agent. Specifically, the summary measure of the average number of units recommended to a tester of a
given race is calculated as:
Overall average units recommended = (proportion of tests that lead to meeting an agent) x
(average number of units recommended to testers who meet an agent)
The summary measure of the average number of units shown to a tester of a given race is calculated as:
Overall average units inspected = (proportion of tests that lead to meeting an agent) x (average
number of units shown to testers who meet an agent)
These statistics combine the incidences of differential rates of getting appointments, being told units are
available, and being shown units with the severity measures of the average number of number of units
available and shown. We report both the levels of these summary measures for white and minority testers
and the percentage difference in the averages between white and minority testers.
In addition to the two overall summary measures, we report a composite measure of differential access
combining the incidences of (1) differential ability to gain an appointment, (2) differential number of
units recommended, and (3) differential number of units shown. The composite measure is defined for all
tests in which the appointment outcome was measured, or both testers met with an agent. A test is coded
as white tester-favored if the white tester was favored on appointments, units recommended, or units
shown without his or her minority teammate being favored on any of these measures. The test is coded
as minority tester-favored if the minority tester is favored on any of the three measures without the white
teammate being preferred. All other eligible tests are coded as equal treatment.
25
To examine geographic steering in home sales, we compared the census tracts where the homes recommended
or shown to white testers are located with the tracts recommended or shown to their minority partners. This
required capturing and coding census geography of unit locations. The measures of steering are based on (1)
a comparison of the number of tracts seen, (2) a comparison of the average characteristics of the tracts for
units recommended or shown to the white and minority testers, and (3) whether comments made by agents
tend to reinforce segregation. Our basic approach follows the work of Galster and Godfrey (2005) analyzing
the data from HDS2000. We use the tract as the definition of neighborhood.
Both racial/ethnic and class steering are examined in the comparison of tract characteristics. We base
the analysis of racial/ethnic steering on a comparison of the racial composition of census tracts where
homes were recommended or shown to the white and minority testers. If the white tester is shown homes
in neighborhoods with a higher average percentage of non-Hispanic whites than the homes shown the
minority tester, this counts as a segregation-reinforcing instance of differential treatment. If the reverse
occurs, the test is coded as integration reinforcing. The difference in the average tract percentage of whites
between testers must be at least 5 percentage points to count as differential treatment. We report the net
measures of differential treatment in steering, as well as the gross differences in treatment that underlie
them. To measure the severity of racial/ethnic steering, we calculate an average tract racial composition
for the white and minority testers, taking the average of the tract percentage white of tracts recommended
25
This composite incidence measure is similar in construction to the measures of “consistent white-favored treatment” featured in HDS2000. Note that tests in some treatment favors the white
and some favors the minority are classified as neither “white favored” nor “minority favored,” making this a conservative measure of overall adverse treatment.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 31
or shown for each test and then averaging over all tests. The difference in these overall averages provides a
measure of how often whites are recommended and shown homes that are in whiter neighborhoods.
Class steering is defined similarly, using a comparison of the average socioeconomic characteristics
of neighborhoods shown to the white and minority testers. The indicators include the tract-level
homeownership rate, percentage nonpoor, and the median home value. For each measure, we coded
whether the average over the homes recommended or shown favors the white or minority tester.
Differences in the homeownership rate and percentage nonpoor must be at least 5 percentage points
and the difference in home values must be at least 10 percent to count as preferred treatment. For each
measure, we report averages across all tests for white and minority testers, the net difference between the
averages, and then test whether the net difference is significantly different from zero.
The final steering analysis compares agent comments about neighborhoods that were made to white and
minority testers to assess whether the comments reinforce segregation. We define each neighborhood
as white, minority, or mixed. A neighborhood is categorized as non-Hispanic white if it has at least 90
percent non-Hispanic whites, and minority if it has at least 50 percent minority.
We label a test as reinforcing segregation if we see any of the following:
• Positive comments to the white tester about white neighborhoods.
• Negative comments to the white tester about minority neighborhoods.
• Negative comments to the minority tester about white neighborhoods.
• Positive comments to the minority tester about minority neighborhoods.
Without seeing any of the following:
• Negative comments to the white tester about white neighborhoods.
• Positive comments to the white tester about minority neighborhoods.
• Positive comments to the minority tester about white neighborhoods.
• Negative comments to the minority tester about minority neighborhoods.
We label a test as favoring integration if we see comments only in the second group, but not the first.
The net incidence of tests favoring integration is given by the difference in the share of tests favoring
segregation minus the share favoring integration.
Measures of the percent white and homeownership rate are from the 2010 census. Measures of
percentage nonpoor and home values come from the 2006–10 ACS.
Our approach to the analysis of paired-testing data is designed to maximize insight into both the
incidence and severity of differential treatment by housing providers by featuring the following:
• Tabular analyses showing overall favorable treatment for whites and minorities as well as the net
estimates of adverse treatment (which is their difference).
• Significance levels associated with a two-sided test of hypothesis of “no adverse net treatment.”
• Multivariate analysis of whether and how environmental and personal factors might influence
aspects of discrimination.

iii. SamPLiNG aND aNaLySiS mEtHODS
32 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Our tabular analyses feature estimates of gross and net adverse treatment from a paired-testing
paradigm, drawing upon the formulation illustrated in Exhibit III-10. This formulation applies for
outcomes that can be categorized as “yes” or “no” for each tester (e.g., told apartment available, told
incentives are available). In this exhibit:
P
11
= proportion of tests with “yes” for white tester and “yes” for minority tester
P
10
= proportion of tests with “yes” for white tester and “no” for minority tester
P
01
= proportion of tests with “no” for white tester and “yes” for minority tester
P
00
= proportion of tests with “no” for white tester and “no” for minority tester
P
1+
= proportion of tests with “yes” for white tester
P
0+
= proportion of tests with “no” for white tester
P
+1
= proportion of tests with “yes” for minority tester
P
+0
= proportion of tests with “no” for minority tester
Exhibit III-10: Formulation of Gross and Net Adverse Treatment in a Paired Testing Design
MINORITY TESTER
White tester Favorable Unfavorable Total
Favorable P11 P10 P1+
unfavorable P01 P00 P0+
Total P+1 P+0 1.0
Gross white-favored treatment = P10
Net white-favored treatment = P10 - P01
These indicators are reorganized in tabular form in Exhibit III-11. The exhibit is a slight modification of
the format used in the HDS2000 Final Report. Each row reports the shares of tests in which both testers
receive favorable treatment, the shares in which only the white and only the minority tester receives
favorable treatment, the net difference in favored treatment, and the standard error of the net difference
(SE
net
). As before, separate tables are devoted to black, Hispanic, and Asian treatment.
Exhibit III-11: Illustration of Tabular Analyses of Adverse Treatment in Rental Housing Seeking Among Blacks
A B C D = B - C
Std error
Outcome (partial list) Both testers White Black Net difference
tester(s) told units available P11 P1+ P+1 P10 - P01 SE
net
tester(s) shown a unit P11 P1+ P+1 P10 - P01 SE
net
tester(s) offered an incentive P11 P1+ P+1 P10 - P01 SE
net
* Net difference entries are flagged with asterisks indicating instances of two-sided statistical significance tests at the 0.01, 0.05 and 0.10 levels
We use two approaches to describe preference on continuous outcomes, such as the number of homes
recommended or rent amount. First, we report the proportions of tests for which the white tester is
preferred and for which the minority tester is preferred, the net difference in the proportions, and the
standard error of the net difference. For most of our outcomes defined in dollars (e.g., rent, incentives,
or home price), we first calculate the average of the measure (e.g., average rent) across available units or
recommended homes. We label testers as preferred if they have a lower cost by at least 5 percent and
compare the proportion of time the white and minority testers are preferred. The difference in these
proportions provides a net measure of the incidence of differential treatment in the measure of cost.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 33
Second, we calculate the average over all tests of the test-level measure (e.g., average rent across units
available) for white testers, minority testers, the net difference in the averages, and the standard error of
the net difference. This approach summarizes the severity of the different treatment observed. Examples
of each approach are shown for the outcome &ldquo;number of inspections” in Exhibit III-12. Note that the
“Both testers” column is blank because the measure is defined based on a comparison of the values
reported by the two testers. In this exhibit:
N
w
= number units shown to the white tester on a test
N
b
= number of units shown to black tester on the same test
P
Nw>Nb
= proportion of tests with white tester shown more units than black tester
P
Nw<Nb
= proportion of tests with minority tester shown more units than white tester
Avg(N
w
) = average number of units shown to white testers
Avg(N
b
) = average number of units shown to black testers
Exhibit III-12: Illustration of Tabular Analyses of Adverse Treatment for Number of Inspections of Rental Housing
A B C D = B - C
Std error
Outcome Both testers White Black Net difference
tester shown more units P
Nw>Nb
P
Nw<Nb
P
Nw>Nb
- P
Nw>Nb
SE
net
# of units shown Avg(N
w
) Avg(N
b
) Avg(N
w
)- Avg(N
b
) SE
net
Net difference entries will be flagged with asterisks indicating instances of two-sided statistical significance tests at the 0.01, 0.05 and 0.10 levels.
Tables are provided at the national level for sales and rental for blacks, Hispanics, and Asians, as well as
for rentals in eight large metro areas for blacks and Hispanics.
For the national estimates, it is critical to adjust significance levels to account for the reduction of
statistical precision associated with the complex sample design (i.e., use of clustered, two-stage sampling).
For each outcome, we calculate the net difference between the white and minority tester, weighted to
account for each site’s representation in the national population. We then use robust clustered standard
errors and t-tests to conduct a two-sided test of net adverse treatment.
26
The degrees of freedom are based
on the number of sites included in the analysis following the indication by Angrist and Pischke (2008)
that the p-values should be based on the number of clusters.
For estimates that combine the estimated probability of an appointment and the average number of
units, we use the standard error of the average number of units.
For the metro-level estimates for rentals, we calculate significance levels for the discrete outcomes (e.g.,
unit was available) using the sign test. This statistical test uses only the tests where treatment is different
for a given outcome and calculates the probability that we see as many whites favored relative to the
number of minority favored as we do if the treatment was equal. For a continuous outcome such as the
number of inspections and amount of incentives, we use robust standard errors (not clustered) and a
t-test to conduct two-sided tests of net adverse treatment.
27
26
The use of clustered standard errors accounts for the potential similarity of test results within site that was expected among tests in a common housing market and with a common pool of
testers. This approach conservatively overlooks the stratification of the sample (i.e., assumes that sites were selected randomly from one large “stratum”). We chose this approach to achieve
more stable estimates of standard errors due to the limited degrees of freedom afforded if stratification was taken into account.
27
We ignore clustering in the within-metro calculations, because of the limited number of tests in each metro area and the complexity of adjusting for clustering of tests undertaken by both the
white and minority testers.

iii. SamPLiNG aND aNaLySiS mEtHODS
34 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Multivariate Analyses of Variations in Differential Treatment
In this section, we describe the multivariate analyses used to examine variations in levels of
discrimination. The goal is to examine how adverse treatment of each minority group varies with such
factors as the condition of the local housing market, agency characteristics, neighborhood characteristics,
and homeseeker characteristics.
We measure adverse treatment as the difference in the number of units shown to white and minority
testers.
28
The average net difference is a summary measure for this study and indicates the severity of
discrimination. If there is notable variation in discrimination, we expect it would show up in this measure.
29
We use ordinary least squares regression to estimate the relationship between the difference in units
shown and the characteristics of tests, testers, agency, neighborhood, and housing market. Separate
models are estimated by race/ethnicity for rentals and sales. Estimates are weighted to account for each
stratum’s representation in the national population, and we follow our general practice of reporting
standard errors clustered by site. The models are based on tests in which both teammates met with an
agent and values for all the independent variables were complete.
The estimated coefficients from these models reflect the expected change in the net measure of
discrimination associated with a one-unit change in the predictor. For example, consider the coefficient
of “female testers.” The coefficient indicates how much higher or lower the net measure of discrimination
against minorities is for female homeseekers than for male homeseekers. In other words, a coefficient of
0.2 for “female testers” means that the net difference in the average number of units shown to whites
and minorities is 0.20 units higher for women than for men. As before, the reported standard errors and
asterisks indicate whether a reported difference is statistically significant.
For many tests, some of the characteristics of the agent differ for the white and minority testers. For
example, sometimes a white tester meets with an Hispanic agent while his or her minority partner
meets with a non-Hispanic agent. To assess the effects of agent or agency characteristics on levels of
discrimination, we are most interested in comparing tests in which both testers faced a particular type of
agent with tests in which neither tester did so. For example, we want to compare tests where both testers
met with an Hispanic agent with those where neither tester met with an Hispanic agent.
To address this, we treat three sets of characteristics as follows:
1. Characteristics that apply to both testers are included in the model. For example, we include an
indicator that testers are female. We also directly include measures that describe the team, such as
minority tester was born in the United States.
2. For discrete (yes/no) characteristics that apply to only one tester, we include indicators that both
testers have the characteristic, only the minority tester has the characteristic, and only the white
tester has the characteristic. We report the coefficient on both testers have the characteristic,
which estimates the difference in the net number of inspections between tests where both have the
characteristic and where neither has the characteristic.
28
As part of the analysis of the effects of perceived race/ethnicity, we also estimated models of differential ability to make an appointment.
29
We explored models of the number of units recommended and found results fairly similar to those for models of number of units shown.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 35
3. For continuous characteristics that differ across testers (i.e., tester age), we include the value for the
white tester and the difference in the values between white and minority testers. The coefficient on
the white tester indicates the effect of a change in the characteristics (e.g., age) for both testers.
We estimate three sets of regression models: a full specification, a model of the effects of perceived race/
ethnicity, and a model of the effects of housing market conditions. These are described below.
Full specification. The independent variables in this model include test characteristics, tester
characteristics, agency characteristics, tract characteristics, and an indicator for each metro area in which
testing was conducted. Most of the measures are indicators, defined as 1 if a test has a given characteristic
and 0 if it does not. Exceptions include the measures of age and income, the maximum number of
persons seen by the two testers, tract per capita income, and tract percentage white. In listing the
measures included in the model, we indicate with an asterisk those measures defined 1 only if both testers
met the condition. For these measures, the model also includes separate indicators for the “white tester
only” and for “minority tester only.”
Models include the following variables:
Test characteristics:
White tester went first
Both testers went in the afternoon*
Month of test
Tester characteristics:
Assigned child—both testers were assigned as having children
Assigned marriage—both tester were assigned to be married
Female—both testers were female
Minority tester born in the United States
Log of white assigned income
Both employed*
Both experienced testers*
Age of white tester
Difference in age of testers
Agency characteristics:
Faced same agent
Maximum number of people seen by the two testers (proxy for size of agency)
Both met black agent*
Both met Hispanic agent*
Both met Asian agent*
Both met agent of “other” or unknown race*
Both met female agent*

iii. SamPLiNG aND aNaLySiS mEtHODS
36 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Characteristics of the tract of the advertised unit:
Per capita income ($10,000s)
Percent white/10
In addition, we experimented with including median home value, percent homeowners, poverty
rate, and the percentages of blacks and Hispanics in the tract.
Metro-level characteristics:
Indicator for each metropolitan area—these indicators are included to ensure that the
relationships do not simply reflect differences across markets.
Models of perceived race/ethnicity. In a second set of models, we examine how net differences in whether
an appointment was made and number of units shown vary with the perceived race or ethnicity of the
minority tester. Appointment requests were mostly made by phone, so any differential treatment
would have to result from impressions based on the name or speech patterns of the tester. Units were
shown in person, so any differential treatment would result from a combination of the name, speech,
and physical appearance of the tester.
For this analysis, we created two separate measures of perceived race. The first measure was based on
the perceptions of three coders as to each tester’s race/ethnicity after hearing an audio recording and
seeing the tester’s name. A second measure was based on the perceptions of three coders after seeing the
tester’s name, hearing an audio recording, and seeing a photograph of the tester. Photographs and audio
recordings of testers were submitted to UI by local test coordinators. For each measure, permitted codes
were black, Hispanic, Asian, non-Hispanic white, and don’t know. The perceived race/ethnicity of a tester
is measured as the proportion of the three coders who chose each category (e.g., proportion who believed
the tester was black, etc.).
We use parallel regression models to test whether (1) the difference in appointments made for white and
minority testers varies with the perceived race/ethnicity of the minority tester based on speech and name;
and (2) the difference in number of units shown to minority and white testers varies with the perceived
race/ethnicity based on speech, name, and photograph. In other words, do minority homeseekers whose
race or ethnicity is more identifiable face higher levels of discrimination (relative to whites) than minority
homeseekers who are less identifiable. We include metro area indicators in each regression to control for any
relationship between perceived race/ethnicity and the metropolitan area. These models differ from other
multivariate analysis in that data from all three sets of tests (black, Hispanic, and Asian) are pooled. The
coefficients measure the difference between the level of discrimination experienced by homeseekers who are
perceived to be a given race or ethnicity (e.g., perceived black) and those who are perceived to be white.
Models of the influence of the housing market conditions. The goal of this analysis is to assess whether
discriminatory treatment is more common in areas in which the housing market is tighter (or looser).
We include an indicator of the condition of the housing market in a model of differential treatment and
control for a subset of the variables from our full specification.
For rentals, we measured the condition of the housing market using:
Vacancy rate for rentals = (units for rent)/(occupied units + units for rent + units for sale), based
on data from the 2010 ACS.

iii. SamPLiNG aND aNaLySiS mEtHODS
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 37
For sales, we experimented with four measures of housing market condition:
Vacancy rate for sales = (units for sale)/(occupied units + units for rent + units for sale) based on
data from the 2010 ACS.
Serious delinquency rate (mortgages 90+ days delinquent and mortgages in foreclosure), first
quarter 2012, using data from foreclosure-response.org.
Percentage change in home prices/100, third quarter 2006 to first quarter 2012, calculated from
the Federal Housing Finance Agency House Price Index.
An indicator for six of our sites—Tampa, Miami, Riverside, Cleveland, Detroit, and Atlanta—
identified by a cluster analysis as relatively troubled markets. The measures used in defining the
clusters were the homeowner vacancy rate, severe delinquency rate, real estate owned rate, and
change in home prices between third quarter 2006 and first quarter 2012. The analysis to define the
clusters was conducted using data the 366 Metropolitan Statistical Areas for the United States.
The regression model includes those variables from the full specification that are the same for both testers.
That is, white tester went first, month of test, assigned child, assigned marriage, female, minority tester
born in United States, log of white assigned income, both faced same agent, tract per capita income, and
tract percent white. We did not include the indicators for each metropolitan area in this analysis because
its inclusion would cause the metropolitan area variables to drop out of the model.
The two chapters that follow present the results of the analyses described here. Chapter IV presents
current estimates of the incidence and forms of discrimination against minority renters and homebuyers.
Chapter V presents findings regarding variations in discrimination, including change over time,
differences between metropolitan markets, differences based on testers’ racial or ethnic identifiability, and
other variations in tester, agency, or neighborhood characteristics.

38 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 39
IV. INCIDENCE OF DISCRIMINATION
This chapter presents current estimates of the incidence and forms of discrimination against black, Hispanic,
and Asian homeseekers in rental and sales markets nationwide. When well-qualified minority homeseekers
contact housing providers to inquire about recently advertised housing units, they generally are just as likely
as equally qualified white homeseekers to get an appointment and learn about at least one available housing
unit. However, when differences in treatment occur, white homeseekers are more likely to be favored than
are minorities. Most important, minority homeseekers learn about and inspect fewer homes and apartments
than whites, raising the costs of housing search and constraining their choices.
30
Rental Market Discrimination
Exhibit IV-1 summarizes the most important forms of treatment at each of three steps in the rental
housing inquiry:
1. Is the homeseeker able to make an appointment to meet with an agent?
If so,
2. Is the homeseeker told that at least one unit is available?
• How many units are available?
3. If units are available,
• What rent is quoted?
• Is the homeseeker shown available units?
• How many units are shown?
• How helpful is the agent?
Minority renters who call to inquire about recently advertised homes or apartments are rarely denied
appointments that their white counterparts are able to make. And when renters meet in person with
housing providers, they are almost always told about at least one available unit. However, Hispanic
renters are slightly (but significantly) more likely than equally qualified whites to be told that no homes
or apartments are available. Moreover, in about half of all in-person visits, one tester is told about more
available units than the other, with whites significantly more likely to be favored than minorities. And in
about a third of tests, one tester is shown more units than the other, with whites again significantly more
likely to be favored than minorities. Overall, minority renters are told about and shown significantly
fewer available housing units than comparably qualified whites. Agents also quote slightly higher rents to
blacks and Hispanics than to whites.
30
Throughout this chapter, discussion focuses on findings that are statistically significant, which are highlighted by bold font in the tables.

iv. iNciDENcE OF DiScrimiNatiON
40 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-1: Summary Measures of Discrimination Against Minority Renters
Rental
White Black Diff. White Hispanic Diff. White Asian Diff.
Only one tester able to make
appointment?
1.0% 0.6% 0.4% 0.4% 0.2% 0.2% 0.4% 0.1% 0.4%
If able to meet with an agent:
Only one tester told units available? 3.0% 2.1% 0.9% 3.6% 1.8% 1.8%** 2.7% 2.4% 0.3%
told about more available units? 27.5% 18.5% 9.0%*** 29.1% 16.2% 12.8%*** 27.0% 18.1% 8.8%**
avg number of units available
(per visit)
1.83 1.63 0.20*** 1.82 1.60 -0.22*** 1.79 1.63 0.17***
If available units recommended:
average rent $1,122 $1,126 -$4* $1,291 $1,297 -$6*** $1,391 $1,389 $2
Level of agent helpfulness 1.47 1.50 -0.03 1.43 1.41 0.02 1.46 1.47 -0.01
Shown more units? 16.9% 14.1% 2.8%** 18.9% 12.9% 6.0%*** 20.4% 14.9% 5.5%**
avg number of units shown
(per visit)
1.28 1.23 0.04** 1.40 1.33 0.07*** 1.44 1.36 0.08**
Overall favored on access and
availability
28.4% 19.6% 8.7%*** 28.9% 18.9% 10.1%*** 32.0% 22.6% 9.5%***
Overall average number of units
available
1.75 1.55 0.20*** 1.76 1.54 0.21*** 1.73 1.56 0.17***
Overall average number of units
shown
1.19 1.14 0.06** 1.33 1.23 0.10*** 1.36 1.27 0.09**
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.
The bottom panel of Exhibit IV-1 presents overall measures of differential treatment for renters, taking
into account all three steps in the housing inquiry (the ability to make an appointment, availability of
units, and agents’ willingness to show units). White renters experience more favorable treatment than
equally well-qualified blacks in 28.4 percent of inquiries, compared to 19.6 percent in which blacks are
favored. Consequently, black renters learn about 11.4 percent fewer available units than equally qualified
whites (0.20 fewer per inquiry on average) and are shown 4.2 percent fewer units (0.06 fewer per
inquiry). White renters experience more favorable treatment than Hispanics in 28.9 percent of inquiries,
compared to 18.9 percent in which Hispanics are favored. So Hispanic renters learn about 12.5 percent
fewer available units than equally qualified whites (0.21 fewer per inquiry on average) and are shown
7.5 percent fewer (0.10 fewer per inquiry). Finally, white renters experience more favorable treatment
than Asians in 32.0 percent of inquiries, compared to 22.6 percent in which Asians are favored. So Asian
renters learn about 9.8 percent fewer available units than equally qualified whites (0.17 fewer per inquiry
on average) and are shown 6.6 percent fewer (0.09 fewer per inquiry). The remainder of this section
provides more details about the treatment of black, Hispanic, and Asian renters in turn. This discussion
focuses on the forms of treatment where white-favored treatment significantly exceeds minority-favored
treatment, because this constitutes the clearest evidence of systematic discrimination.
31
31
Because paired testing produces many indicators of differential treatment, there is a risk that some measures might be statistically significant as the random result of having so many
measures. Therefore, we applied the sign test to 20 separate indicators of favorable or unfavorable treatment by rental housing providers. These tests suggest that the overall results for black
and Hispanic renters (with 14 of 20 measures favoring whites) are unlikely to occur by chance (one-tailed p = 0.058). The results for Asian renters (7 of 19 measures favoring whites) could
have occurred by chance (one-tailed p = 0.916). It is worth noting, however, that the specific items that favor the white and Asian teammates do not appear to have occurred randomly. Instead,
the items that favor the white teammate are related to appointments and number of units told about and shown, while the items that favor the Asian teammate are primarily related to costs and
willingness to negotiate. We also tested for the possibility that atypical levels of discrimination in one or more sampled metro areas might unduly influence the overall national estimates, and
concluded that the national results reported here are not sensitive to any individual metro’s results.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 41
Black Renters
About half of advertisements for
available rental units invite homeseekers
to drop in. Whites and blacks are
equally likely to be able to arrange a
meeting with an agent, through an
in-person appointment or dropping
in on the agency.
32
(See Exhibit IV-2.)
Moreover, when both white and black
members of a tester pair meet with an
agent in person, they are equally likely
to be told that at least one unit is available. However, almost half the time, one tester is told about at least
one more unit than his or her partner, with whites 9.0 percentage points more likely than comparable
blacks to be told about more available units. Over all tests, blacks learn about 0.2 fewer available units
per visit than whites. (Among tests in which the white tester is told about more available units, the
difference in the number of units averages 1.68 units; among tests in which the black tester is told about
more available units, the difference averages 1.40 units.) This means that, over five in-person visits to
rental agents, a black homeseeker would learn about one fewer available unit than a comparable white.
Exhibit IV-2: Information and Availability Indicators for White and Black Renters
Rental market treatment measure Both White Black Difference
Std
error of
difference
N
tester(s) able to make an appointment 94.6% 1.0% 0.6% 0.4% 0.4% 2,009
If able to meet with an agent:
tester(s) told any units available 95.0% 3.0% 2.1% 0.9% 0.7% 1,813
One tester told about more units than partner 27.5% 18.5% 9.0%*** 2.4% 1,813
avg number of units available (per visit) 1.83 1.63 0.20*** 0.05 1,813
Note: Numbers do not subtract to differences because of rounding. *** difference is statistically significant at the 0.01 level.
32
The estimates of differential treatment at this initial stage understate the true rate at which testers were unable to obtain appointments. Although both members of each tester pair were
instructed to make repeated attempts (by telephone or e-mail) to obtain an appointment, some attempts may have been abandoned by the second tester when the first was unsuccessful, due to
strong financial incentives to complete in-person visits. These aborted tests were dropped from the analysis entirely and, because the order of the testing was randomized, should have no effect
on the net measure of discriminatory denial.
For example…The white tester arrived in the morning,
and asked if he could see the one-bedroom units that they had
available. He was shown the two one-bedroom units that would
be available by his move-in date, and was also shown a two-
bedroom unit that the agent said she wanted to show him so he
could see what a larger apartment was like as well. The black
tester arrived that afternoon and asked about one-bedroom
units. He was shown both available one-bedroom units but not
the two-bedroom unit.

iv. iNciDENcE OF DiScrimiNatiON
42 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
When both white and black members of a tester pair are told about available units, they are equally likely to
be shown at least one unit (Exhibit IV-3). However, in almost a third of these tests, one tester is shown more
units than the other; in these cases, whites are 2.8 percentage points more likely than blacks to be favored.
As a result, whites are shown 0.04 more units than blacks on average. (Among tests in which the white tester
is shown more available units, the difference in the number of units shown averages 1.27 units; among tests
in which the black tester is shown more available units, the difference averages 1.22 units.) This means that
over 25 visits to agents where units are available, a black homeseeker would be shown one fewer available
unit than a comparable white. In addition, blacks are shown units with more housing quality problems than
equally qualified white homeseekers—0.05 more problem conditions per unit on average.
33
Exhibit IV-3: Inspections and Unit Problem Indicators for White and Black Renters
Rental market treatment measure Both White Black Difference
Std
error of
difference
N
If available units recommended:
tester(s) able to inspect any units 88.7% 4.3% 3.4% 0.9% 1.1% 1,710
One tester inspected more units than partner 16.9% 14.1% 2.8%** 1.2% 1,710
average number of units inspected (per visit) 1.28 1.23 0.04** 0.02 1,710
If units shown:
tester(s) saw at least one unit without any problems 83.6% 8.1% 5.6% 2.5% 1.6% 1,540
One tester saw more problems per unit than partner 9.5% 12.9% -3.3%* 1.8% 1,537
average number of problems per unit 0.15 0.20 -0.05** 0.03 1,537
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level.
When both white and black members of a tester pair are told about available units, whites are more likely
than blacks to be offered a lower rent than their partners (Exhibit IV-4). Among tests in which the white
tester is quoted a lower rent, the difference averages $122 a month, while among tests in which the black
tester is quoted a lower rent, the difference averages $129 a month. Across all tests, the difference in rent
is small—only $4 lower a month on average for whites. For many other financial indicators, we find no
significant difference in the treatment of whites and blacks. However, whites are significantly more likely
than blacks to be told about rent incentives and more likely to be told that up-front fees and security
deposit or surety bond amounts are negotiable. These differences may give whites more bargaining
power in negotiations over the costs of lease-up. Finally, when all the fees, deposits, and incentives are
considered together with rent, the total first-year cost differs for comparable white and black homeseekers
in about 4 of every 10 tests; and, when they differ, whites are 7.6 percentage points more likely than
equally qualified blacks to be offered a lower total first-year cost. However, the difference in average first-
year costs is small and not statistically different from zero.
34

33
The nature of this testing makes it difficult to distinguish between a tester who saw a unit without problem conditions and a tester who saw a unit that had problem conditions but did not notice
them. We do not think this challenge inherently favors either the white or the minority tester.
34
Among tests in which the white tester is quoted a yearly net cost, the difference averages $1,685. Among tests in which the black tester is quoted a lower yearly net cost, the difference
averages $1,736.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 43
Exhibit IV-4: Financial Indicators for White and Black Renters
Rental market treatment measure Both White Black Difference
Std error of
difference
N
If available units recommended:
Average rent for any unit $1,122 $1,126 -$4* $2 1,709
tester(s) told higher rent than partner 10.7% 13.2% -2.5%* 1.3% 1,709
tester(s) told that rent is negotiable 5.1% 10.9% 7.1% 3.9% 2.3% 1,709
tester(s) offered month-to-month 1.8% 7.0 % 8.0% -1.0% 1.1% 1,709
tester(s) offered two-year lease 3.5% 7.4% 10.3% -2.9% 2.3% 1,709
tester(s) told fees required for any unit 80.7% 5.3% 5.7% -0.4% 1.2% 1,710
One tester told higher fees than partner 19.7% 22.9% -3.2% 2.0% 1,679
average fees for any unit $147 $155 -$8 $8 1,679
tester(s) told fees negotiable 5.1% 10.1% 6.5% 3.5%** 1.7% 1,710
tester(s) told payment required at move-in 45.2% 13.9% 11.4% 2.5% 3.1% 1,710
average payments at move-in $764 $786 -$22 $44 1,685
tester(s) told payments negotiable 1.8% 7.5% 5.8% 1.7% 1.1% 1,710
tester(s) told about incentives 24.9% 12.9% 8.1% 4.8%*** 1.4% 1,710
average yearly incentives $228 $282 -$54 $66 1,642
tester(s) told security deposit required 99.9% 0.0% 0.0% 0.0% 0.0% 1,710
tester(s) given choice between sec. deposit
& bond
1.0% 1.0% 1.1% -0.1% 0.5% 1,710
tester(s) told deposit or bond negotiable 10.4% 14.0% 8.7% 5.3%*** 1.8% 1,710
average sec. deposit for any unit $ 811 $842 -$31 $19 1,423
tester(s) told higher yearly net cost 16.8% 24.4% -7.6%*** 2.7% 1,363
average yearly net cost $14,848 $14,898 -$50 $110 1,363
Note: Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level, *** at the 0.01 level.
Most comments, questions, and information provided to blacks and whites do not differ significantly,
and overall levels of agent helpfulness to whites and blacks are not significantly different. However, blacks
are more likely than comparable white homeseekers to receive comments or questions about their credit
standing, while whites are more likely than blacks to receive remarks about race or ethnicity. Specifically,
blacks are 3.0 percentage points more likely than whites to receive comments or questions about their
credit standing. And whites are 1.1 percentage points more likely than blacks to receive remarks about
issues of race or ethnicity. In the vast majority of tests, neither the white nor the black receives these types
of comments, questions, or remarks.

iv. iNciDENcE OF DiScrimiNatiON
44 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-5: Comments and Helpfulness Indicators for White and Black Renters
Rental market treatment measure Both White Black Difference
Std
error of
difference
N
If available units recommended:
tester(s) told comment on fair housing 0.2% 1.8% 1.8% 0.0% 0.6% 1,710
tester(s) told application must be completed 87.5% 5.1% 5.7% -0.5% 1.8% 1,710
tester(s) told credit check must be completed 59.8% 13.8% 15.6% -1.8% 1.8% 1,710
tester(s) told background check must be done 22.3% 16.4% 16.8% -0.4% 2.3% 1,710
tester(s) told comments on credit standing 1.6% 4.2% 7.2% -3.0%** 1.3% 1,710
tester(s) told comments on rent history 3.1% 10.7% 11.3% -0.6% 2.3% 1,710
tester(s) told remarks about race/ethnicity 0.1% 1.8% 0.7% 1.1%** 0.5% 1,710
tester(s) provided listings, floor plan, brochure, etc. 75.0% 7.3% 7.6 % -0.4% 1.9% 1,710
tester(s) provided more total items 29.5% 33.7% -4.2% 2.7% 1,710
tester(s) told arrangement for contact 63.0% 13.2% 15.6% -2.4% 2.7% 1,710
tester(s) told positive remark 27.7% 21.0% 19.5% 1.5% 2.4% 1,710
tester(s) told more positive remarks 28.3% 30.1% -1.8% 3.2% 1,708
tester(s) told negative remark 0.3% 3.4% 2.3% 1.0% 0.8% 1,710
tester(s) told more negative remarks 3.4% 2.3% 1.1% 0.8% 1,708
tester(s) received agent follow-up 9.1% 11.0% 10.5% 0.6% 2.1% 1,695
average overall helpfulness score 1.47 1.50 -0.03 0.05 1,710
Note: Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level.
Hispanic Renters
Whites and Hispanics are equally
likely to be able to arrange a meeting
with an agent, through an in-person
appointment or dropping in on the
agency (Exhibit IV-6). When both
white and Hispanic members of a tester
pair meet with an agent in person,
most are told that units are available. However, when only one is told about available units, whites are
1.8 percentage points more likely than comparably qualified Hispanics to be favored. In addition, in
almost half the visits, one tester is told about at least one more unit than his or her partner, with whites
12.8 percentage points more likely than comparable Hispanics to be told about more available units.
As a consequence, whites learn about more available units than Hispanics—0.22 more units per visit
on average. (Among tests in which the white tester is told about more available units, the difference in
the number of units averages 1.54 units; among tests in which the Hispanic tester is told about more
available units, the difference averages 1.43 units.) So, over five in-person visits to rental agents, a
Hispanic homeseeker would learn about one fewer available unit than a comparable white.
For example…The white tester arrived first and asked
to see a two-bedroom apartment. The agent showed him
the available two-bedroom unit as well as a one-bedroom
apartment. The tester got application information for both units.
The Hispanic tester arrived two hours later at the same office,
but was told that nothing was available.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 45
Exhibit IV-6: Information and Availability Indicators for White and Hispanic Renters
Rental market treatment measure Both White Hispanic Difference
Std
error of
difference
N
tester(s) able to make an appointment 96.1% 0.4% 0.2% 0.2% 0.3% 1,986
If able to meet with an agent:
tester(s) told any units available 94.6% 3.6% 1.8% 1.8%** 0.8% 1,775
One tester told about more units than partner 29.1% 16.2% 12.8%*** 1.6% 1,775
avg number of units available (per visit) 1.82 1.60 0.22*** 0.04 1,775
Note: Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level, *** at the 0.01 level.
When both white and Hispanic members of a tester pair are told about available units, they are equally likely
to be shown at least one unit (Exhibit IV-7). In almost a third of these tests, one tester is shown more units
than the other, with whites 6 percentage points more likely than Hispanics to be favored. As a result, whites
are shown 0.07 more units per test than Hispanics. (Among tests in which the white tester is shown more
available units, the difference in the number of units shown averages 1.29 units; among tests in which the
Hispanic tester is shown more available units, the difference averages 1.32 units.) In other words, over 14 visits
to agents where units are available, a Hispanic homeseeker would be shown one fewer available unit than a
comparable white. The quality of units shown to white and Hispanic homeseekers does not differ significantly.
Exhibit IV-7: Inspections and Unit Problem Indicators for White and Hispanic Renters
Rental market treatment measure Both White Hispanic Difference
Std error of
difference
N
If available units recommended:
tester(s) able to inspect any units 91.7% 3.1% 2.7% 0.3% 0.7% 1,654
One tester inspected more units than partner 18.9% 12.9% 6.0%*** 1.0% 1,654
average number of units inspected (per visit) 1.40 1.33 0.07*** 0.02 1,654
If units shown:
tester(s) saw at least one unit without any problems 86.7% 5.0% 5.4% -0.3% 1.4% 1,493
One tester saw more problems per unit than partner 10.6% 9.4% 1.3% 1.9% 1,489
average number of problems per unit 0.17 0.15 0.02 0.03 1,489
Note: Numbers do not subtract to differences because of rounding. *** difference is statistically significant at the 0.01 level.
When both white and Hispanic members of a tester pair are told about available units, whites are more
likely than Hispanics to be offered a lower rent than their partners (Exhibit IV-8). Among tests in which
the white tester is quoted a lower rent, the difference averages $183 a month. Among tests in which the
Hispanic tester is quoted a lower rent, the difference averages $172 a month. Across all tests, the difference
in rent is small—only $6 a month less on average. Most other financial indicators show no significant
difference in the treatment of Hispanics and whites. However, whites are more likely to be informed about
rent incentives and more likely to be told that security deposit or bond requirements are negotiable, possibly
giving them more bargaining power in lease negotiations. Whites are also more likely to be told about
payments required at move-in. When all the fees, deposits, and incentives are considered together with rent,
whites are offered lower annual net costs than Hispanics—$101 lower on average.
35
35
Among tests in which the white tester is quoted a lower annual net cost, the difference averages $2,213 a month. Among tests in which the Hispanic tester is quoted a lower net cost, the
difference averages $2,112 a month.

iv. iNciDENcE OF DiScrimiNatiON
46 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-8: Financial Indicators for White and Hispanic Renters
Rental market treatment measure Both White Hispanic Difference
Std error of
difference
N
If available units recommended:
average rent for any unit $1,291 $1,297 -$6*** $2 1,653
tester(s) told higher rent than partner 8.1% 10.9% -2.8%** 1.1% 1,653
tester(s) told that rent is negotiable 4.2% 7.3% 6.2% 1.1% 1.3% 1,653
tester(s) offered month-to-month 4.1% 4.0% 5.3% -1.3% 1.2% 1,653
tester(s) offered two-year lease 4.0% 5.1% 8.2% -3.1% 2.5% 1,653
tester(s) told fees required for any unit 83.9% 4.7% 4.6% 0.1% 1.0% 1,654
One tester told higher fees than partner 20.5% 20.3% 0.3% 1.6% 1,626
average fees for any unit $146 $154 -$9 $11 1,626
tester(s) told fees negotiable 3.9% 5.5% 4.8% 0.8% 0.6% 1,654
tester(s) told payment required at move-in 43.9% 13.8% 10.2% 3.6%* 2.0% 1,654
average payments at move-in $832 $828 $4 $34 1,634
tester(s) told payments negotiable 1.1% 5.7% 4.7% 1.0% 1.1% 1,654
tester(s) told about incentives 23.6% 10.8% 7.0% 3.8%** 1.6% 1,654
average yearly incentives $245 $234 $11 $31 1,611
tester(s) told security deposit required 99.9% 0.0% 0.0% 0.0% 0.0% 1,654
tester(s) given choice between sec.
deposit & bond
0.7% 1.1% 1.2% -0.1% 0.5% 1,654
tester(s) told deposit or bond negotiable 7.8% 11.3% 5.4% 5.9%*** 1.7% 1,654
average sec. deposit for any unit $867 $866 $1 $9 1,414
tester(s) told higher yearly net cost 16.5% 20.2% -3.6% 2.8% 1,369
average yearly net cost $17,168 $17,269 -$101*** $35 1,369
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.
Almost none of the comments, questions, and information provided to Hispanics and whites differ
significantly (Exhibit IV-9). However, whites are 3.3 percentage points more likely than Hispanics to
receive follow-up contact from agents they visited.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 47
Exhibit IV-9: Comments and Helpfulness Indicators for White and Hispanic Renters
Rental market treatment measure Both White Hispanic Difference
Std
error of
difference
N
If available units recommended:
tester(s) told comment on fair housing 0.2% 1.8% 0.8% 1.0% 0.6% 1,654
tester(s) told application must be completed 89.9% 4.4% 3.9% 0.5% 0.8% 1,654
tester(s) told credit check must be completed 70.4% 10.3% 11.3% -1.0% 2.3% 1,654
tester(s) told background check must be done 20.0% 16.3% 14.3% 2.0% 3.6% 1,654
tester(s) told comments on credit standing 2.2% 5.8% 7.0 % -1.1% 1.7% 1,654
tester(s) told comments on rent history 3.1% 11.5% 11.4% 0.1% 2.0% 1,654
tester(s) told remarks about race/ethnicity 0.3% 1.0% 2.1% -1.1% 0.8% 1,654
tester(s) provided listings, floor plan, brochure, etc. 76.1% 5.6% 6.3% -0.7% 0.8% 1,654
tester(s) provided more total items 30.2% 28.8% 1.5% 2.7% 1,654
tester(s) told arrangement for contact 66.2% 12.7% 14.4% -1.7% 3.0% 1,654
tester(s) told positive remark 30.5% 18.0% 18.7% -0.7% 1.7% 1,654
tester(s) told more positive remarks 27.9 % 28.6% -0.7% 2.4% 1,651
tester(s) told negative remark 0.1% 3.5% 3.0% 0.6% 0.8% 1,654
tester(s) told more negative remarks 3.5% 3.1% 0.5% 0.8% 1,651
tester(s) received agent follow-up 10.6% 11.2% 7.9% 3.3%* 1.6% 1,638
average overall helpfulness score 1.43 1.41 0.02 0.05 1,654
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level.
Asian Renters
Whites and Asians are equally likely to be able to arrange a meeting with an agent, through an in-person
appointment or dropping in on the agency (Exhibit IV-10). When both white and Asian members
of a tester pair meet with an agent in person, they are equally likely to be told that at least one unit is
available. However, almost half the time, one tester is told about at least one more unit than his or her
partner, with whites 8.8 percentage
points more likely than comparable
Asians to be told about more available
units. As a consequence, whites learn
about more available units than
Asians—0.17 more units per visit on
average. (Among tests in which the
white tester is told about more available
units, the difference in the number of units averages 1.56 units; among tests in which the Asian tester is
told about more available units, the difference averages 1.40 units.) So, over six in-person visits to rental
agents, an Asian homeseeker would learn about one fewer available unit than a comparable white.
For example…The Asian tester saw the agent first and
asked about the advertised two-bedroom unit. She was told
that unit was available and was able to inspect it, but no other
two-bedroom units were available. The white tester saw the
advertised two-bedroom unit and was also told about four more
two-bedroom units that were available in other locations.

iv. iNciDENcE OF DiScrimiNatiON
48 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-10: Information and Availability Indicators for White and Asian Renters
Rental market treatment measure Both White Asian Difference
Std error of
difference
N
tester(s) able to make an appointment 96.0% 0.4% 0.1% 0.4% 0.4% 1,150
If able to meet with an agent:
tester(s) told any units available 94.9% 2.7% 2.4% 0.3% 0.8% 1,037
One tester told about more units than
partner
27.0% 18.1% 8.8%** 3.3% 1,037
avg number of units available (per visit) 1.79 1.63 0.17*** 0.05 1,037
Note: Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level, *** at the 0.01 level.
When both white and Asian members of a tester pair are told about available units, they are equally likely
to be shown at least one unit (Exhibit IV-11). In about a third of these tests, one tester is shown more units
than the other, with whites 5.5 percentage points more likely to be favored. As a result, whites are shown
0.08 more units per test than Asians. (Among tests in which the white tester is shown more available units,
the difference in the number of units shown averages 1.30 units; among tests in which the Hispanic tester
is shown more available units, the difference averages 1.22 units.) In other words, over 13 visits to agents
where units are available, an Asian homeseeker would be shown one fewer available unit than a comparable
white. The quality of units shown to white and Asian homeseekers does not differ significantly.
Exhibit IV-11: Inspections and Unit Problem Indicators for White and Asian Renters
Rental market treatment measure Both White Asian Difference
Std error of
difference
N
If available units recommended:
tester(s) able to inspect any units 92.1% 3.8% 2.3% 1.5% 1.1% 968
One tester inspected more units than
partner
20.4% 14.9% 5.5%** 2.3% 968
average number of units inspected
(per visit)
1.44 1.36 0.08** 0.03 968
If units shown:
tester(s) saw at least one unit without
any problems
87.5% 3.9% 6.5% -2.7% 1.9% 883
One tester saw more problems per unit
than partner
10.5% 8.7% 1.8% 1.9% 879
average number of problems per unit 0.14 0.12 0.02 0.02 879
Note: Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level.
Few financial indicators show significant differences in treatment (Exhibit IV-12). However, whites are
more likely to be informed about rent incentives and more likely to be told that security deposit or bond
requirements are negotiable. This may give whites more power in leasing negotiations.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 49
Exhibit IV-12: Financial Indicators for White and Asian Renters
Rental market treatment measure Both White Asian Difference
Std
error of
difference
N
If available units recommended:
average rent for any unit $1,391 $1,389 $2 $5 967
tester(s) told higher rent than partner 9.2% 9.3% -0.1% 1.4% 967
tester(s) told that rent is negotiable 5.1% 7.4% 8.2% -0.8% 1.9% 967
tester(s) offered month-to-month 3.3% 3.7% 7.7% -4.0% 2.5% 967
tester(s) offered two-year lease 3.6% 7.1% 7.1% 0.0% 2.8% 967
tester(s) told fees required for any unit 82.3% 5.3% 5.5% -0.3% 2.1% 968
One tester told higher fees than partner 17.9 % 23.4% -5.6% 3.2% 957
average fees for any unit $203 $220 -$17 $11 957
tester(s) told fees negotiable 3.8% 6.5% 6.8% -0.3% 1.8% 968
tester(s) told payment required at move-in 41.6% 13.6% 12.4% 1.2% 4.7% 968
average payments at move-in $796 $779 $17 $68 955
tester(s) told payments negotiable 1.7% 3.9% 6.2% -2.3% 1.7% 968
tester(s) told about incentives 22.5% 11.2% 8.6% 2.6%** 1.2% 968
average yearly incentives $264 $329 -$65 $69 941
tester(s) told security deposit required 99.7% 0.0% 0.2% -0.2% 0.2% 968
tester(s) given choice between sec. deposit & bond 1.4% 1.3% 1.1% 0.3% 0.3% 968
tester(s) told deposit or bond negotiable 8.6% 11.4% 6.5% 4.9%** 2.0% 968
average sec. deposit for any unit $954 $948 $6 $11 817
testers told higher yearly net cost 61.8% 20.7% 17.5% 3.3% 4.4% 795
average yearly net cost $18,092 $18,010 $82 $122 795
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.05 level.
Most comments, questions, and information provided to Asians and whites do not differ significantly, nor
do overall levels of agent helpfulness (Exhibit IV-13). However, differences in treatment are statistically
significant for a few items. Whites are 5.2 percentage points more likely to be told that an application
must be submitted and 3.8 points more likely to be told that a credit check will be required. Asians are
3.4 percentage points more likely than whites to be provided listings, floor plans, and brochures, and 5.2
percentage points more likely than their white partners to be given more total items by the agent.

iv. iNciDENcE OF DiScrimiNatiON
50 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-13: Comments and Helpfulness Indicators for White and Asian Renters
Rental market treatment measure Both White Asian Difference
Std
error of
difference
N
If available units recommended:
tester(s) told comment on fair housing 0.5% 1.3% 1.0% 0.3% 0.4% 968
tester(s) told application must be completed 85.1% 8.7% 3.5% 5.2%** 1.9% 968
tester(s) told credit check must be completed 65.4% 13.6% 9.8% 3.8%* 1.8% 968
tester(s) told background check must be done 14.7% 13.2% 13.7% -0.5% 4.1% 968
tester(s) told comments on credit standing 1.5% 6.4% 8.6% -2.2% 1.5% 968
tester(s) told comments on rent history 3.7% 10.9% 14.4% -3.5% 2.3% 968
tester(s) told remarks about race/ethnicity 0.0% 1.3% 3.2% -1.9% 1.4% 968
tester(s) provided listings, floor plan, brochure, etc. 74.6% 4.2% 7.5% -3.4%** 1.2% 968
tester(s) provided more total items 26.1% 31.3% -5.2%* 2.9% 968
tester(s) told arrangement for contact 70.2% 12.6% 12.8% -0.2% 1.8% 968
tester(s) told positive remark 25.3% 19.5% 21.9% -2.5% 3.1% 968
tester(s) told more positive remarks 27.4% 32.1% -4.7% 3.4% 966
tester(s) told negative remark 0.6% 2.6% 2.6% 0.0% 0.9% 968
tester(s) told more negative remarks 2.6% 2.6% 0.0% 0.9% 966
tester(s) received agent follow-up 11.3% 12.3% 9.8% 2.5% 2.2% 964
average overall helpfulness score 1.46 1.47 -0.01 0.06 968
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level.
Sales Market Discrimination
Exhibit IV-14 summarizes the most important forms of treatment at each of three steps in a homebuyer’s
inquiry:
1. Is the homebuyer able to make an appointment to meet with an agent?
If so,
2. Is the homebuyer told that at least one unit is available?
3. How many homes are available?
• If homes are available,
• What price is quoted?
• How helpful is the agent?
• Is the homeseeker shown available units?
• How many homes are shown?
• What is the racial/ethnic composition of the tracts where homes are shown?

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 51
Like renters, minority homebuyers are rarely denied appointments that their white counterparts are able
to make. However, black homebuyers are slightly (but significantly) more likely than equally qualified
whites to be denied an in-person appointment. When homebuyers meet in person with housing
providers, they are usually told about at least one available unit. However, agents frequently tell one tester
about more available homes than the other, with whites significantly more likely to be favored than blacks
or Asians. And black and Asian homebuyers are shown significantly fewer homes than equally qualified
whites. Agents offer black and Asian homebuyers less information and assistance than equally qualified
whites, and recommend and show them fewer available homes. Differences in treatment between
Hispanic and white homebuyers are not statistically significant.
Exhibit IV-14: Summary Measures of Discrimination Against Minority Homebuyers
White Black Diff. White Hispanic Diff. White Asian Diff.
Only one tester able to make
appointment?
3.4% 1.1% 2.4%** 2.2% 1.8% 0.4% 1.6% 2.6% -1.0%
If able to meet with an agent:
Only one tester told units
available?
9.5% 7.4% 2.1% 8.8% 9.0% -0.2% 9.1% 7.5% 1.6%
told about more available homes? 46.1% 32.7% 13.4%*** 39.9% 37.7% 2.3% 44.1% 34.9% 9.2%
average number of units available 3.40 2.90 0.50*** 3.04 2.76 0.28 3.36 2.81 0.55*
If available homes recommended:
Quoted a higher price 27.8% 33.1% -5.3% 27.0 % 28.6% -1.6% 28.9% 31.5% -2.6%
average price $288,017 $292,029 -$4,012 $306,693 $312,313 -$5,621 $378,219 $380,412 - $ 2,193
Level of agent helpfulness 2.58 2.46 0.12 2.59 2.50 0.08 2.80 2.60 .21***
Shown more units? 39.3% 30.0% 9.3%** 36.0% 34.0% 2.0% 42.1% 28.2% 13.9%**
average number of units shown 2.16 1.87 0.30** 2.15 2.06 0.10 2.31 1.89 0.42***
Shown homes in whiter n’hoods? 20.5% 15.5% 5.0%* 25.8% 20.8% 5.1% 25.4% 19.5% 5.9%**
average neighborhood % white 66.1% 64.3% 1.8%** 53.5% 53.9% 0.4% 59.2% 58.0% 1.2%*
Overall favored on access and
availability
40.7% 30.9% 9.8%** 39.0% 32.6% 6.4% 44.0% 33.1% 11.0%*
Overall avg number of units
available
3.12 2.59 0.53*** 2.89 2.61 0.28 3.16 2.67 0.49*
Overall avg number of units
shown
1.75 1.44 0.32** 1.75 1.67 0.08 1.92 1.56 0.36**
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.
Taking into account all three steps in the housing inquiry (ability to make an appointment, availability of
homes, and agents’ willingness to show homes), black and Asian homebuyers are told about and shown
fewer homes than equally qualified whites, as shown in the bottom panel of Exhibit IV-14. Specifically,
white homebuyers experience more favorable treatment than equally well-qualified blacks in 40.7 percent
of inquiries, compared with 30.9 percent in which blacks are favored. Consequently, black homebuyers
who contact agents about recently advertised homes for sale learn about 17.0 percent fewer available
homes than equally qualified whites (0.53 fewer per inquiry on average) and are shown 17.7 percent
fewer (0.32 fewer per inquiry). White homebuyers experience more favorable treatment than Asians in
44.0 percent of inquiries, compared to 33.1 percent in which Asians are favored. So Asian homebuyers

iv. iNciDENcE OF DiScrimiNatiON
52 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
learn about 15.5 percent fewer available homes than equally qualified whites (0.49 fewer per inquiry on
average) and are shown 18.8 percent fewer (0.36 fewer per inquiry). Overall differences in treatment for
Hispanic and white homebuyers are not statistically significant, and Hispanics are not recommended or
shown a statistically different number of homes per inquiry than comparably qualified white homebuyers.
Most homes shown to testers are located in majority-white neighborhoods. In many cases, one tester is
recommended homes in neighborhoods that are whiter, on average, than his or her partner. Whites are
significantly more likely than minorities to be recommended these whiter neighborhoods, particularly
compared with blacks. However, minorities are sometimes shown whiter neighborhoods than their
partners. Across all tests, differences in the average racial composition of neighborhoods recommended
to minorities and whites are very small and not statistically significant. In other words, over multiple
inquiries, the composition of neighborhoods recommended to minority homebuyers is very similar to the
composition of those recommended to equally qualified whites.
The remainder of this section provides more details about the treatment of black, Hispanic, and Asian
homebuyers in turn. This discussion focuses on the forms of treatment where white-favored treatment
significantly exceeds minority-favored treatment, because this constitutes the clearest evidence of
systematic discrimination.
36
Black Homebuyers
For the vast majority of advertised homes, if one tester is able to make an appointment (by phone or e-mail)
to meet with an agent in person, the other is as well. In the small share of cases where differences occur, blacks
are 2.4 percentage points more likely than comparable whites to be denied an appointment (Exhibit IV-15).
When both white and black members
of a tester pair meet with a sales agent
in person, they are equally likely to be
told that something is available and to
have at least one home recommended
by the agent. However, in 8 of every 10
tests, more homes are recommended
to one tester than the other, and in these cases, whites are 13.4 percentage points more likely than
comparable black homebuyers to be favored. These differences mean that on average, whites learn about
0.50 more available homes per test. (Among tests in which the white tester is told about more homes,
the difference in the number of homes averages 3.30; among tests in which the black tester is told about
more homes, the difference averages 3.11.) This means that for every two visits to a sales agent, a black
homebuyer learns about one fewer available home than an equally qualified white homebuyer.
For example…The black tester called and spoke with an
agent who insisted that she must be prequalified in order to see
homes. He refused to meet with her until she had talked to a
lender. The white tester was not asked about prequalification over
the phone, and made an appointment to meet with the agent.
36
Because paired testing produces many indicators of differential treatment, there is a risk that some measures might be statistically significant as the random result of having so many measures.
Therefore, we applied the sign test to 15 separate indicators of favorable or unfavorable treatment by sales agents. These tests suggest that the overall results for black and Asian homebuyers
(with 12 of 15 and 11 of 15 measures favoring whites) are unlikely to occur by chance (one-tailed p = .0175 for blacks and p = 0.059 for Asians). The results for Hispanic homebuyers (9 of 15
measures favoring whites) could have occurred by chance (one-tailed p = 0.304). We also tested for the possibility that atypical levels of discrimination in one or more sampled metro areas might
unduly influence the overall national estimates, and concluded that the national results reported here are not sensitive to any individual metro’s results.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 53
Exhibit IV-15: Information and Availability Indicators for White and Black Homebuyers
Sales market treatment measure Both White Black Difference
Std
error of
difference
N
tester(s) able to make an appointment 88.3% 3.4% 1.1% 2.4%** 0.9% 1,244
If able to meet with an agent:
tester(s) told any homes available 78.9% 9.5% 7.4% 2.1% 1.4% 1,072
One tester told about more homes than partner 46.1% 32.7% 13.4%*** 3.4% 1,072
avg number of homes available (per visit) 3.40 2.90 0.50*** 0.15 1,072
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.05 level, *** at the 0.01 level.
When both white and black members of a tester pair receive recommendations about available homes, they
are equally likely to be shown at least one home (see exhibit IV-16). However, in almost three-quarters of
these tests, one tester is shown more units than the other, and whites are 9.3 percentage points more likely
than blacks to be favored. On average, whites are shown 0.30 more units per test than equally qualified
blacks.

(Among tests in which the white tester is shown more homes, the difference in the number of
homes averages 2.42 homes; among tests in which the black tester is shown more homes, the difference
averages 2.18 homes.) This means that for every three visits in which at least some available homes are
recommended, blacks inspect one fewer home than comparable white homeseekers. In addition, blacks are
more likely than comparable whites to be shown homes with one or more physical deficiencies.
37
Exhibit IV-16: Inspections and Unit Problems Indicators for White and Black Homebuyers
Sales market treatment measure Both White Black Difference
Std
error of
difference
N
If available homes recommended:
tester(s) able to inspect any homes 55.1% 13.2% 13.7% -0.5% 2.8% 800
One tester inspected more homes than partner 39.3% 30.0% 9.3%** 3.7% 800
avg number of homes inspected (per visit) 2.16 1.87 0.30** 0.12 800
If units shown:
tester(s) saw at least one home without any
problems
93.6% 4.8% 1.2% 3.6%** 1.7% 452
One tester saw more problems per home than 

partner
24.8% 14.1% 10.7%*** 3.8% 449
average number of problems per home 0.18 0.15 0.03 0.03 449
Note: Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level, *** at the 0.01 level.
When both white and black members of a tester pair receive recommendations, the prices for the homes
recommended do not differ significantly (Exhibit IV-17). And most other financial indicators show
no significant treatment differences. However, agents are more likely to ask blacks whether they are
prequalified and to request information about their credit. In contrast, agents more often offer whites
help with prequalification and suggest a home price for which they could qualify.
37
The nature of this testing makes it difficult to distinguish between a tester who saw a home with physical deficiencies and a tester who saw a home that had physical deficiencies but did not
notice them. We do not think this challenge inherently favors either the white or the minority tester.

iv. iNciDENcE OF DiScrimiNatiON
54 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-17: Financial Indicators for White and Black Homebuyers
Sales market treatment measure Both White Black Difference
Std error of
difference
N
If available homes recommended:
One tester told higher home prices 27.8% 33.1% -5.3% 4.4% 797
avg home price $288,017 $292,029 -$4,012 $3,585 797
tester(s) asked about prequalification 75.1% 7.5% 13.2% -5.7%** 2.5% 800
tester(s) asked for information on debts 3.5% 9.6% 10.4% -0.8% 1.8% 800
tester(s) asked for information on credit 8.3% 13.1% 18.5% -5.4%** 2.6% 800
tester(s) told not qualified 0.0% 0.1% 0.5% -0.4% 0.3% 800
tester(s) offered financing help 45.6% 18.9% 16.7% 2.2% 3.3% 800
tester(s) told about finance options 17.1% 16.7% 19.4% -2.7% 3.0% 800
tester(s) offered prequalification 3.5% 14.2% 7.9% 6.3%** 2.6% 800
tester(s) told suggested home price 12.0% 23.0% 12.5% 10.5%*** 2.9% 800
tester(s) told a mortgage amount 0.7% 7.2% 7.6 % -0.5% 2.2% 800
tester(s) told interest rate 5.8% 19.9% 15.2% 4.7% 3.0% 800
tester(s) told down payment 9.0% 21.3% 16.3% 5.0% 3.5% 800
tester(s) told about personal finance 33.5% 18.8% 26.9% -8.1% 4.8% 800
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.
Overall levels of agent helpfulness do not differ significantly for whites and blacks, nor do most comments.
However, agents spend more time with white homeseekers than with equally qualified blacks—11 minutes
longer on average. Interestingly, whites are more likely than blacks to hear comments from agents about fair
housing protections or requirements, about race or ethnicity, and about noise problems.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 55
Exhibit IV-18: Comments and Helpfulness Indicators for White and Black Homebuyers
Sales market treatment measure Both White Black Difference
Std
error of
difference
N
If able to meet with an agent:
tester(s) told arrangement for contact 92.4% 3.4% 4.2% -0.7% 1.1% 1,072
One tester received more time with agent 23.5% 15.8% 7.7%*** 2.6% 1,042
average time spent with agent (minutes) 115 104 11*** 4 1,042
tester(s) received agent follow-up 30.1% 21.8% 17.2% 4.6% 3.6% 1,072
If available homes recommended:
tester(s) told comment on fair housing 0.4% 5.5% 1.9% 3.6%*** 1.2% 800
tester(s) told remarks about race/ethnicity 0.0% 3.0% 1.2% 1.8%* 1.1% 800
tester(s) told positive comments about noise 7.4% 15.5% 17.8% -2.3% 3.4% 800
tester(s) told negative comments about noise 0.7% 6.7% 3.5% 3.1%* 1.7% 800
tester(s) told positive comments about safety 3.4% 10.1% 12.3% -2.2% 2.6% 800
tester(s) told negative comments about safety 0.1% 0.9% 0.6% 0.3% 0.5% 800
tester(s) told positive comments about schools 9.7% 17.1% 15.0% 2.1% 3.6% 800
tester(s) told negative comments about schools 0.0% 1.7% 1.1% 0.7% 0.7% 800
tester(s) told positive comments about investment 3.1% 14.4% 12.7% 1.7% 2.8% 800
tester(s) told negative comments about investment 0.2% 3.2% 3.9% -0.7% 1.3% 800
tester(s) told positive comments about services 3.8% 11.7% 11.9% -0.3% 3.0% 800
tester(s) told negative comments about services 0.0% 0.6% 0.6% 0.0% 0.4% 800
tester(s) referred to another agent 0.6% 6.3% 4.9% 1.4% 2.5% 800
tester(s) asked to sign documents 6.9% 13.9% 10.0% 3.9% 2.9% 800
average overall helpfulness score 2.58 2.46 0.12 0.07 800
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, *** at the 0.01 level.
The census tracts of recommended and inspected homes are, on average, about two-thirds white, with
high homeownership rates and low poverty rates.
38
In more than half the tests, the tracts where one tester
is recommended and shown homes are whiter on average than where the other tester is recommended
and shown homes (Exhibit IV-19). In these cases, whites are 8.0 percentage points more likely than their
black partners to be recommended homes in whiter neighborhoods and 5.0 percentage points more likely
to be shown homes in whiter neighborhoods. Overall, whites are recommended and shown homes in
slightly whiter neighborhoods than blacks, with an average difference under 2 percentage points. (Among
tests in which the white tester is recommended homes in whiter neighborhoods, the neighborhoods are
16.4 percentage points whiter; when the black tester is recommended homes in whiter neighborhoods,
the difference averages 13.9 percentage points.)
39
Other characteristics of neighborhoods recommended
and shown to whites and blacks do not differ significantly. However, whites hear more positive comments
about white neighborhoods and more negative comments about minority neighborhoods than do blacks,
potentially steering them away from mixed or minority neighborhoods.
38
The advertised units that triggered each paired test are located in tracts similar to those recommended and shown to testers.
39
Differences for tests in which one tester was shown homes in whiter neighborhoods are similar.

iv. iNciDENcE OF DiScrimiNatiON
56 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-19: Steering Indicators for White and Black Homebuyers
Sales market treatment measure White Black Difference
Std error of
difference
N
If available homes recommended:
Homes in whiter tracts 24.8% 16.8% 8.0%** 2.9% 784
avg tract percent white 66.1% 64.3% 1.8%** 0.8% 784
Homes in tracts w/higher homeownership 24.3% 25.6% -1.3% 2.9% 784
avg tract homeownership 70.9% 71.2% -0.3% 0.5% 784
Homes in tracts w/higher home prices 40.6% 39.0% 1.5% 3.2% 784
avg tract median home price $308,826 $306,104 $2,722 $2,308 784
Homes in tracts w/lower poverty 9.1% 8.2% 0.9% 2.6% 784
avg tract percent nonpoor 91.5% 91.3% 0.2% 0.2% 784
comments about homes in more tracts 34.3% 26.2% 8.1% 5.0% 793
avg number positive comments re: white neighborhoods 0.14 0.10 0.04** 0.01 793
avg number positive comments re: minority neighborhoods 0.25 0.23 0.02 0.06 793
avg number negative comments re: white neighborhoods 0.02 0.02 0.00 0.02 793
avg number negative comments re: minority neighborhoods 0.06 0.02 0.04** 0.02 793
Share of comments favoring segregation and integration 12.2% 9.2% 3.1% 2.3% 793
If homes shown:
Homes in whiter tracts 20.5% 15.5% 5.0%* 2.7% 441
avg tract percent white 67.3% 65.8% 1.4%*** 0.5% 441
Homes in tracts w/higher homeownership 23.0% 28.9% -5.9% 6.1% 441
avg tract homeownership 69.8% 71.0% -1.2% 1.3% 441
Homes in tracts w/higher home prices 37.0 % 42.4% -5.4% 6.3% 441
avg tract median home price $300,255 $302,618 -$2,363 $7,717 441
Homes in tracts w/lower poverty 8.6% 7.1% 1.5% 2.6% 441
avg tract percent nonpoor 91.7% 91.5% 0.3% 0.3% 441
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.
Hispanic Homebuyers
For the vast majority of advertised homes, if one tester is able to make an appointment (by phone or
e-mail) to meet with an agent in person, the other is as well. And the very small share of cases where
differences occur do not favor either whites or Hispanics (see Exhibit IV-20).
When both white and Hispanic members of a tester pair meet with a sales agent in person, they are
equally likely to be told that something is available and to have at least one home recommended by
the agent. In about 8 of every 10 tests, more homes are recommended to one tester than the other, but
these differences do not systematically favor either group.
40
And on average, agents recommend the same
number of homes to both white and Hispanic testers.
40
When whites are recommended more homes, the difference averages 3.33 units; when Hispanics are recommended more homes, the difference averages 2.78 units.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 57
Exhibit IV-20: Information and Availability Indicators for White and Hispanic Homebuyers
Sales market treatment measures Both White Hispanic Difference
Std
error of
difference
N
tester(s) able to make an appointment 92.8% 2.2% 1.8% 0.4% 0.9% 1,193
if able to meet with an agent:
tester(s) told any homes available 76.7% 8.8% 9.0% -0.2% 2.9% 1,043
One tester told about more homes than partner 39.9% 37.7% 2.3% 4.6% 1,043
avg number of homes available (per visit) 3.04 2.76 0.28 0.22 1,043
Notes: Numbers do not subtract to differences because of rounding. No differences are statistically significant.
When both white and Hispanic members of a tester pair receive recommendations, both are equally
likely to be shown homes, with no significant difference in the number shown per test (Exhibit IV-21).
41
Exhibit IV-21: Inspections and Unit Problems Indicators for White and Hispanic Homebuyers
Sales market treatment measures Both White Hispanic Difference
Std
error of
difference
N
If available homes recommended:
tester(s) able to inspect any homes 62.5% 10.5% 13.4% -2.9% 3.1% 737
One tester inspected more homes than partner 36.0% 34.0% 2.0% 4.0% 737
avg number of homes inspected (per visit) 2.15 2.06 0.10 0.14 737
If units shown:
tester(s) saw at least one home without any
problems
94.5% 2.6% 1.8% 0.9% 1.6% 440
One tester saw more problems per home than
partner
18.8% 21.0% -2.2% 3.1% 438
average number of problems per home 0.15 0.19 -0.04 0.05 438
Notes: Numbers do not subtract to differences because of rounding. No differences are statistically significant.
The prices for the homes recommended to white and Hispanic homebuyers do not differ significantly
(Exhibit IV-22). Also, the only statistically significant difference in treatment with respect to financing is
that Hispanics are more likely than whites to be asked about their credit.
41
When whites are shown more homes, the difference averages is 2.51 units; when Hispanics are shown more homes, the difference averages 2.37 units.

iv. iNciDENcE OF DiScrimiNatiON
58 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-22: Financial Indicators for White and Hispanic Homebuyers
Sales market treatment measure Both White Hispanic Difference
Std error of
difference
N
If available homes recommended:
One tester told higher home prices 27.0 % 28.6% -1.6% 6.2% 739
average home price $306,693 $312,313 -$5,621 $7,217 739
tester(s) asked about prequalification 78.0% 9.4% 8.7% 0.7% 2.6% 737
tester(s) asked for information on debts 4.9% 9.5% 16.4% -6.8% 4.4% 737
tester(s) asked for information on credit 9.9% 14.2% 21.0% -6.8%* 3.3% 737
tester(s) told not qualified 0.0% 0.6% 0.3% 0.3% 0.4% 737
tester(s) offered financing help 47.7% 16.0% 15.5% 0.5% 3.0% 737
tester(s) told about finance options 17.4% 20.7% 17.5% 3.2% 2.8% 737
tester(s) offered prequalification 3.1% 11.7% 9.1% 2.6% 2.8% 737
tester(s) told suggested home price 11.5% 17.1% 15.8% 1.3% 4.3% 737
tester(s) told a mortgage amount 2.0% 7.5% 7.5% 0.0% 1.9% 737
tester(s) told interest rate 9.8% 16.7% 16.9% -0.2% 3.3% 737
tester(s) told down payment 14.6% 18.9% 16.5% 2.3% 3.5% 737
tester(s) told about personal finance 41.5% 19.6% 20.0% -0.4% 3.1% 737
Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level.
Overall levels of agent helpfulness to white and Hispanic homebuyers are generally similar (Exhibit IV-23).
However, agents are 6.2 percentage points more likely to make follow-up contact with whites than with
Hispanics and 7.0 percentage points more likely to make positive comments about housing as an investment.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 59
Exhibit IV-23: Comments and Helpfulness Indicators for White and Hispanic Homebuyers
Sales market treatment measure Both White Hispanic Difference
Std
error of
difference
N
If able to meet with an agent:
tester(s) told arrangement for contact 94.0% 3.3% 2.6% 0.6% 0.9% 1,043
One tester received more time with agent 18.7% 20.7% -2.0% 5.0% 974
average time spent with agent (minutes) 116 120 -4 7 974
tester(s) received agent follow-up 34.8% 21.4% 15.2% 6.2%** 2.4% 1,043
If available homes recommended:
tester(s) told comment on fair housing 0.2% 3.8% 3.2% 0.6% 0.7% 737
tester(s) told remarks about race/ethnicity 0.1% 2.7% 1.8% 0.8% 1.0% 737
tester(s) told positive comments about noise 11.7% 16.8% 20.2% -3.3% 4.1% 737
tester(s) told negative comments about noise 1.4% 6.0% 4.8% 1.3% 1.4% 737
tester(s) told positive comments about safety 6.0% 10.9% 15.6% -4.6% 4.2% 737
tester(s) told negative comments about safety 0.0% 1.0% 0.5% 0.5% 0.5% 737
tester(s) told positive comments about schools 10.0% 14.2% 17.4% -3.3% 3.1% 737
tester(s) told negative comments about schools 0.0% 1.3% 0.4% 1.0% 0.6% 737
tester(s) told positive comments about investment 5.7% 16.5% 9.4% 7.0%*** 2.3% 737
tester(s) told negative comments about investment 0.1% 3.3% 2.1% 1.2% 1.4% 737
tester(s) told positive comments about services 6.5% 13.3% 13.9% -0.6% 4.6% 737
tester(s) told negative comments about services 0.0% 0.7% 0.4% 0.4% 0.5% 737
tester(s) referred to another agent 0.3% 6.2% 5.5% 0.7% 1.5% 737
tester(s) asked to sign documents 5.4% 11.0% 9.0% 1.9% 1.9% 737
average overall helpfulness score 2.59 2.50 0.08 0.07 737
Note: Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level, *** at the 0.01 level.
The census tracts for homes recommended and shown to white and Hispanic testers are, on average,
about 55 percent white, with high homeownership rates and low poverty rates.
42
The neighborhoods
where Hispanics are recommended and shown homes do not differ significantly in any respect from the
neighborhoods where whites are recommended and shown homes (Exhibit IV-24).
42
The advertised units that triggered each paired test are located in tracts similar to those recommended and shown to testers. These tract characteristics differ slightly from those in the black/
white tests because of differences in the metropolitan areas where black/white and Hispanic/white testing was conducted.

iv. iNciDENcE OF DiScrimiNatiON
60 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-24: Steering Indicators for White and Hispanic Homebuyers
Sales market treatment measure White Hispanic Difference
Std
error of
difference
N
If available homes recommended:
Homes in whiter tracts 22.6% 20.8% 1.8% 1.8% 727
avg tract percent white 53.5% 53.9% -0.4% 0.4% 727
Homes in tracts w/higher homeownership 24.4% 25.6% -1.3% 2.7% 727
avg tract homeownership 67.2% 67.2% 0.0% 0.5% 727
Homes in tracts w/higher home prices 41.3% 37.0 % 4.3% 3.7% 727
avg tract median home price $349,322 $349,490 -$168 $2,377 727
Homes in tracts w/lower poverty 9.5% 10.0% -0.5% 2.0% 727
avg tract percent nonpoor 90.4% 90.3% 0.1% 0.2% 727
comments about homes in more tracts 34.6% 27.8% 6.8% 5.2% 732
avg number positive comments re: white neighborhoods 0.05 0.06 -0.02 0.03 732
avg number positive comments re: minority neighborhoods 0.49 0.44 0.06 0.12 732
avg number negative comments re: white neighborhoods 0.01 0.00 -0.00 0.00 732
avg number negative comments re: minority neighborhoods 0.07 0.07 -0.01 0.02 732
Share of comments favoring segregation and integration 11.7% 13.6% -1.9% 2.1% 732
If homes shown:
Homes in whiter tracts 25.8% 20.8% 5.1% 3.1% 432
avg tract percent white 56.1% 55.8% 0.2% 0.5% 432
Homes in tracts w/higher homeownership 24.8% 25.5% -0.7% 3.7% 432
avg tract homeownership 69.0% 68.6% 0.4% 0.6% 432
Homes in tracts w/higher home prices 39.3% 39.4% -0.1% 3.7% 432
avg tract median home price $350,232 $353,620 -$3,388 $3,542 432
Homes in tracts w/ lower poverty 11.4% 10.8% 0.6% 2.9% 432
avg tract percent nonpoor 90.8% 90.6% 0.3% 0.2% 432
Notes: Numbers do not subtract to differences because of rounding. No differences are statistically significant.
Asian Homebuyers
For the vast majority of advertised homes, if one tester is able to make an appointment (by phone or
e-mail) to meet with an agent in person, the other is as well. Also, the very small share of cases where
differences occur do not favor either whites or Asians (see Exhibit IV-25).
When both white and Asian members of a tester pair meet with a sales agent in person, they are equally
likely to be told that something is available and to have at least one home recommended by the agent. In
8 of every 10 tests, more homes are recommended to one tester than the other, though these differences
do not systematically favor either group. On average, whites learn about 0.55 more available homes per
test. (When whites are told about more available homes, the difference in the number of homes averages
3.55; among tests in which Asians are told about more homes, the difference averages 2.91.)

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 61
Exhibit IV-25: Information and Availability Indicators for White and Asian Homebuyers
Sales market treatment measure Both White Asian Difference
Std
error of
difference
N
tester(s) able to make an appointment 92.2% 1.6% 2.6% -1.0% 1.6% 1,170
If able to meet with an agent:
tester(s) told any homes available 79.5% 9.1% 7.5% 1.6% 2.3% 1,047
One tester told about more homes than partner 44.1% 34.9% 9.2% 5.8% 1,047
avg number of homes available (per visit) 3.36 2.81 0.55* 0.30 1,047
Notes: Numbers do not subtract to differences because of rounding. No differences are statistically significant.
When whites and Asians are told that
homes are available, they are equally
likely to be shown at least one home
(Exhibit IV-26). However, when one
tester is shown more units than the
other, whites are 13.9 percentage
points more likely than to be favored
than Asians. Overall, whites are shown
0.42 more units per test than equally
qualified Asians. (When whites are favored, they are able to inspect an average of 2.37 more homes; when
Asians are favored, they inspect an average of 2.05 more homes.) This means that for every two visits in
which at least some available homes are recommended, Asians inspect one fewer home than a comparable
white homeseeker. The quality of units shown to whites and Asians does not differ significantly.
For example…When the white tester, who went first, asked
about the advertised home, he was told that it was available. He
viewed the home along with six other homes, and his site visit
lasted three hours total. The Asian tester went the next day, was
told that the advertised home was available, and inspected it.
However, he was only recommended three additional homes to
view, and his site visit lasted only two hours.
Exhibit IV-26: Inspections and Unit Problems Indicators for White and Asian Homebuyers
Sales market treatment measure Both White Asian Difference
Std
error of
difference
N
If available homes recommended:
ester(s) able to inspect any homest
One tester inspected more homes than partner
verage number of homes inspected (per visit)a
62.0% 11.4%
42.1%
2.31
12.0%
28.2%
1.89
-0.6%
13.9%**
0.42***
4.3%
5.4%
0.13
799
799
799
If units shown:
ester(s) saw at least one home without anyt
problems
97.1% 1.5% 0.8% 0.7% 0.8% 471
One tester saw more problems per home than
partner
20.8% 15.0% 5.8% 4.3% 470
verage number of problems per homea 0.15 0.14 0.01 0.04 470
Note: Numbers do not subtract to differences because of rounding. ** difference is statistically significant at the 0.05 level, *** at the 0.01 level.

iv. iNciDENcE OF DiScrimiNatiON
62 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
When both white and Asian members of a tester pair receive recommendations, the prices for the homes
recommended do not differ significantly (Exhibit IV-27). However, agents are 7.5 percentage points more
likely to offer whites help with financing and 9.8 percentage points more likely to offer to prequalify the
tester. They are also more likely to discuss financing options, interest rates, and personal finances and to
suggest an affordable price point and mortgage amount to whites.
Exhibit IV-27: Financial Indicators for White and Asian Homebuyers
Sales market treatment measure Both White Asian Difference
Std error of
difference
N
If available homes recommended:
One tester told higher home prices 28.9% 31.5% -2.6% 2.8% 803
average home price $378,219 $380,412 - $ 2,193 $5,316 803
tester(s) asked about prequalification 81.6% 7.3% 7.1% 0.2% 2.2% 799
tester(s) asked for information on debts 9.7% 14.4% 14.1% 0.3% 3.9% 799
tester(s) asked for information on credit 15.3% 17.9 % 16.6% 1.3% 3.5% 799
tester(s) told not qualified 0.0% 0.5% 0.3% 0.2% 0.4% 799
tester(s) offered financing help 54.7% 18.7% 11.1% 7.5%** 3.0% 799
tester(s) told about finance options 15.7% 24.8% 14.7% 10.1%*** 3.0% 799
tester(s) offered prequalification 8.3% 17.8% 8.0% 9.8%** 4.3% 799
tester(s) told suggested home price 14.9% 22.4% 15.6% 6.8%* 3.9% 799
tester(s) told a mortgage amount 2.5% 15.0% 6.8% 8.2%*** 2.8% 799
tester(s) told interest rate 11.5% 20.6% 11.6% 9.0%*** 3.2% 799
tester(s) told down payment 17.8% 21.0% 15.0% 6.0% 4.0% 799
tester(s) told about personal finance 37.2% 25.2% 15.7% 9.5%*** 3.0% 799
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.
Agents offer white homebuyers significantly more help than equally qualified Asians (Exhibit IV-28). In
particular, whites are 12.1 percentage points more likely than Asians to receive follow-up contact from
agents. In addition, whites are more likely than Asians to receive both positive and negative comments
about noise and negative comments about schools and investments, while Asians are more likely to
receive positive comments about safety. Receiving these types of comments does not unambiguously
reflect either favorable or unfavorable treatment, since one can imagine circumstances in which such
comments are genuinely helpful as well as circumstances in which they are discouraging or disparaging.

iv. iNciDENcE OF DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 63
Exhibit IV-28: Comments and Helpfulness Indicators for White and Asian Homebuyers
Sales market treatment measure Both White Asian Difference
Std
error of
difference
N
If able to meet with an agent:
tester(s) told arrangement for contact 93.0% 3.4% 3.5% -0.1% 1.0% 1,047
One tester received more time with agent 20.2% 19.5% 0.7% 2.7% 1,018
average time spent with agent (minutes) 115 111 4 4 1,018
tester(s) received agent follow-up 32.8% 25.0% 12.9% 12.1%** 4.3% 1,047
If available homes recommended:
tester(s) told comment on fair housing 0.6% 5.3% 2.0% 3.3% 2.1% 799
tester(s) told remarks about race/ethnicity 0.3% 4.7% 3.9% 0.9% 1.6% 799
tester(s) told positive comments about noise 11.9% 17.0% 23.5% -6.5%* 3.2% 799
tester(s) told negative comments about noise 1.1% 9.1% 4.6% 4.5%** 2.0% 799
tester(s) told positive comments about safety 4.6% 11.5% 25.0% -13.5%*** 4.3% 799
tester(s) told negative comments about safety 0.1% 1.2% 1.1% 0.1% 0.5% 799
tester(s) told positive comments about schools 13.8% 16.8% 20.1% -3.2% 3.4% 799
tester(s) told negative comments about schools 0.0% 2.2% 0.8% 1.4%* 0.7% 799
tester(s) told positive comments about investment 4.2% 13.2% 15.5% -2.3% 4.0% 799
tester(s) told negative comments about investment 0.6% 5.3% 3.3% 2.0%* 1.2% 799
tester(s) told positive comments about services 4.2% 15.9% 15.3% 0.5% 3.3% 799
tester(s) told negative comments about services 0.0% 0.7% 0.6% 0.1% 0.4% 799
tester(s) referred to another agent 0.5% 3.5% 4.4% -0.9% 1.0% 799
tester(s) asked to sign documents 4.6% 10.3% 11.2% -0.9% 1.8% 799
average overall helpfulness score 2.80 2.59 0.21*** 0.07 799
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.
The census tracts where recommended and inspected homes are located are, on average, about 60
percent white, with high homeownership rates and low poverty rates.
43
In three-quarters of the tests,
the tracts where one tester is recommended and shown homes are whiter on average than where the
other tester is recommended and shown homes. In these cases, whites are 4.6 percentage points more
likely than their Asian partners to be recommended homes in whiter neighborhoods, and 5.9 percentage
points more likely to be shown homes in whiter neighborhoods. Overall, however, the average racial
composition of tracts recommended differs by only 1.2 percentage points, and the average for tracts
shown does not differ significantly. (Among tests in which the white tester is recommended homes in
whiter neighborhoods, the neighborhoods are 17.0 percentage points whiter; where the Asian tester is
recommended homes in whiter neighborhoods, the difference averages 15.4 percentage points.)
44
Whites
are also more likely than Asians to be shown homes in neighborhoods with higher home prices, although
the average difference in neighborhood home prices is not statistically significant. Finally, whites are more
likely than Asians to hear negative comments about minority neighborhoods.
43
The advertised units that triggered each paired test are located in tracts similar to those recommended and shown to testers.
44
The difference for tests in which one tester was shown homes in whiter neighborhoods is quite similar.

iv. iNciDENcE OF DiScrimiNatiON
64 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit IV-29: Steering Indicators for White and Asian Homebuyers
Sales market treatment measures White Asian Difference
Std error of
difference
N
If available homes recommended:
Homes in whiter tracts 25.6% 21.0% 4.6%** 2.1% 785
avg tract percent white 59.2% 58.0% 1.2%* 0.6% 785
Homes in tracts w/higher homeownership 25.0% 29.0% -4.0% 2.5% 785
avg tract homeownership 68.2% 68.6% -0.4% 0.6% 785
Homes in tracts w/higher home prices 42.5% 39.8% 2.7% 3.7% 785
avg tract median home price $ 427,689 $420,727 $6,962 $4,271 785
Homes in tracts w/lower poverty 10.5% 9.1% 1.5% 1.5% 785
avg tract percent nonpoor 92.1% 92.0% 0.1% 0.2% 785
comments about homes in more tracts 36.5% 32.0% 4.5% 4.7% 787
avg number positive comments re: white neighborhoods 0.07 0.13 -0.06 0.08 787
avg number positive comments re: minority neighborhoods 0.48 0.37 0.11 0.07 787
avg number negative comments re: white neighborhoods 0.01 0.00 0.00 0.00 787
avg number negative comments re: minority neighborhoods 0.10 0.05 0.05* 0.03 787
Share of comments favoring segregation and integration 14.3% 11.5% 2.7% 2.3% 787
If homes shown:
Homes in whiter tracts 25.4% 19.5% 5.9%** 2.6% 463
avg tract percent white 58.8% 57.5% 1.3% 0.9% 463
Homes in tracts w/higher homeownership 30.6% 24.5% 6.1% 6.7% 463
avg tract homeownership 70.8% 69.5% 1.3% 1.0% 463
Homes in tracts w/higher home prices 45.4% 35.6% 9.9%* 5.4% 463
avg tract median home price $444,261 $435,718 $8,543 $5,360 463
Homes in tracts w/lower poverty 11.4% 8.6% 2.7% 2.2% 463
avg tract percent nonpoor 92.8% 92.4% 0.4% 0.3% 463
Note: Numbers do not subtract to differences because of rounding. * difference is statistically significant at the 0.10 level, ** at the 0.05 level.

v. variatiONS iN DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 65
V. VARIATIONS IN DISCRIMINATION
This chapter explores four questions about the estimates of discrimination presented in Chapter IV.
First, it assesses how levels of discrimination have changed since the last national housing discrimination
study, HDS2000. Second, it presents local estimates of discrimination against black and Hispanic
renters for selected metropolitan areas and tests for potential differences in levels of both rental and sales
discrimination based on metropolitan housing market conditions. Third, it asks whether homeseekers
who are identifiably black, Hispanic, or Asian are more likely to experience discrimination than
those who may be mistaken for whites. Finally, it explores potential variations in the incidence of
discrimination that might help inform future fair housing enforcement and public education efforts.
45
Change in Discrimination Over Time
Estimates of change in discrimination since the last national paired-testing study (HDS2000) must be
interpreted with great caution for several reasons. First, housing markets have changed dramatically in
the decade since HDS2000 was conducted, and many aspects of the paired-testing methodology were
modified in the current study to better measure patterns of discrimination in today’s markets.
46
Even
if the study procedures from 2000 were repeated in 2012, market conditions, advertising and search
mechanisms, and housing provider incentives differ so substantially that comparisons of findings across
studies would be complicated to interpret. Finally, because the statistical confidence intervals for most
measures of change are quite wide, there is a high likelihood that some policy-relevant differences exist
but are not statistically significant.
Given that caution, we present comparisons for selected measures of treatment, assessing the margin of
error for changes in the net measures of differential treatment.
47
These comparisons suggest that changes
in discrimination over the past decade are generally small but because almost none are statistically
significant, we cannot draw definitive conclusions about whether discrimination has increased or
decreased over the last decade.
Among renters, blacks today appear less likely than a decade ago to be told that advertised units are
unavailable compared to equally qualified whites (Exhibit V-1). Asian renters are more likely than a
decade ago to be told that advertised units are unavailable, but they are less likely to experience adverse
treatment when making future arrangements with the agent. Note that the increases for Asians are
relative to very low rates of discrimination measured in the 2000 study. Among homebuyers, the only
statistically significant change is for Hispanics, who are less likely to be denied financing help than a
decade ago (Exhibit V-2).
45
Throughout this chapter, discussion focuses on findings that are statistically significant, which are highlighted by bold font in the tables.
46
For example, in HDS2000, Asian/white testing took place in 11 metropolitan areas that together accounted for 77 percent of the total Asian population living in metropolitan areas. In HDS2010,
23 metropolitan areas were sampled as part of an integrated design to represent over 90 percent of the population.
47
We approximated the confidence intervals for HDS2000 using the Phase 1 public-use files for blacks and Hispanics and using all data for Asian. The calculation approach accounts for
statistical clustering of data within sites, essentially following the approach used for HDS2010. The resulting confidence intervals are larger than those relied on in the original study.

v. variatiONS iN DiScrimiNatiON
66 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Exhibit V-1: Comparable Measures of Discriminatory Treatment for Renters, HDS2000 and HDS2012
HDS2000 HDS2012
Change
in net
Margin
of error
% white % min Net % white % min Net
Black
advertised unit available 11.9 8.1 3.8% 4.7 4.5 0.2% -3.6% ±4.4%*
inspected more units 22.9 16.2 6.8% 18.3 15.0 3.3% -3.5% ±5.9%
Offered incentives 9.6 7.0 2.5% 12.9 8.1 4.8% 2.3% ±4.4%
Future arrangements 14.9 16.5 -1.6% 13.2 15.6 -2.4% -0.8% ±7.2%
Hispanic
advertised unit available 11.3 5.7 5.5% 5.3 2.5 2.7% -2.8% ±5.3%
inspected more units 22.1 15.2 6.9% 21.2 13.4 7.8% 0.9% ±7.6 %
Offered incentives 10.0 6.9 3.0% 10.8 7.0 3.8% 0.8% ±5.6%
Future arrangements 18.2 17.0 1.1% 12.7 14.4 -1.7% -2.8% ±9.7%
Asian
advertised unit available 7.2 7.6 -0.4% 5.1 3.4 1.7% 2.1% ±5.6%
inspected more units 12.9 17.7 -4.8% 21.7 16.0 5.7% 10.5% ±9.3%**
Offered incentives 9.1 5.8 3.3% 11.2 8.6 2.6% -0.7% ± 6.1%
Future arrangements 20.0 12.5 7.5% 12.6 12.8 -0.2% -7.7% ±8.5%*
Notes: margin of error is for 95 percent confidence level. * difference is statistically significant at the 0.10 level, ** at the 0.05 level.

v. variatiONS iN DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 67
Exhibit V-2: Comparable Measures of Discriminatory Treatment for Homebuyers, HDS2000 and HDS2012
HDS2000 HDS2012
Change
in net
Margin
of error
% white % min Net % white % min Net
Black
advertised unit available 15.0% 15.0% 0.0% 12.8% 14.1% -1.3% -1.3% ±7.2%
inspected more units 42.0% 32.6% 9.4% 36.9% 28.1% 8.8% -0.6% ±11.3%
Financing help 19.6% 17.3% 2.3% 18.9% 16.7% 2.2% 0.0% ±12.2%
agent pre-qual’d tester 19.1% 14.2% 4.9% 14.2% 7.9 % 6.3% 1.4% ±8.1%
agent recomm. whiter
neighborhoods
17.3% 12.2% 5.1% 24.8% 16.8% 8.0% 4.3% ±9.9%
Future arrangements 6.0% 8.2% -2.2% 3.4% 4.2% -0.7% 2.9% ±4.2%
Hispanic
advertised unit available 12.7% 14.8% -2.1% 13.0% 13.2% -0.2% 1.9% ±9.4%
inspected more units 36.1% 38.5% -2.4% 33.6% 32.4% 1.2% 3.6% ±15.5%
Financing help 24.3% 12.0% 12.4% 16.0% 15.5% 0.5% -11.9% ±10.7%**
agent pre-qual’d tester 20.4% 14.9% 5.5% 11.7% 9.1% 2.6% -2.9% ±10.7%
agent recomm. whiter
neighborhoods
17.1% 14.8% 2.3% 22.6% 20.8% 1.8% -0.5% ±7.5%
Future arrangements 6.2% 5.4% 0.8% 3.3% 2.6% 0.6% -0.2% ±5.1%
Asian
advertised unit available 15.6% 14.6% 1.0% 15.2% 12.1% 3.0% 2.0% ±9.5%
inspected more units 45.7% 31.7% 14.0% 37.6 % 27.7% 10.0% -4.1% ±16.9%
Financing help 28.5% 13.5% 15.1% 18.7% 11.1% 7.5% -7.5% ±11.3%
agent pre-qual’d tester 22.8% 18.4% 4.4% 17.8% 8.0% 9.8% 5.4% ±13.0%
agent recomm. whiter
neighborhoods
18.4% 16.3% 2.1% 25.6% 21.0% 4.6% 2.5% ±12.3%
Future arrangements 11.7% 8.7% 2.9% 3.4% 3.5% -0.1% -3.1% ±6.8%
Notes: margin of error is for 95 percent confidence level. ** difference is statistically significant at the 0.05 level.
What can one conclude about longer-term trends in discrimination, drawing from findings from the
1977 and 1989 discrimination studies? Although changes in market conditions, housing search processes,
sampling procedures, and testing protocols make precise comparisons impossible, we can draw some
broad qualitative conclusions about patterns of change in discrimination against black and Hispanic
homeseekers.
48
48
HDS2000 was the first study that measured discrimination against Asian homeseekers, so it is not possible to assess longer term trends.

v. variatiONS iN DiScrimiNatiON
68 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
In 1977, black renters were frequently denied access to advertised units (Exhibit V-3); this type of
discrimination had declined dramatically by 1989 and has continued to decline since. Discrimination
concerning the number of units shown to black renters actually increased between 1977 and 1989
(possibly because they were less likely to be denied advertised housing outright), but it has declined since.
Denial of advertised units to Hispanic renters has also dropped substantially since 1989. Discrimination
on the number of units shown also appears to have declined between 1989 and 2000, but not between
2000 and 2012.
Like black renters, black homebuyers were frequently denied access to advertised units in 1977. This
form of discrimination had declined dramatically by 1989 and even more by 2000. Discrimination with
the number of homes shown, however, does not appear to have changed much over time. In contrast,
adverse treatment of Hispanic homebuyers dropped substantially between 1989 and 2000 and remains at
very low levels today.
Exhibit V-3: Longer-Term Trends in Discriminatory Treatment of Blacks and Hispanics
Taken together, these findings suggest that the most blatant forms of “door slamming” discrimination
observed in the earliest paired-testing study are much less frequent today, but that other, less easily
detectable forms of discrimination persist, limiting the information and options offered to minority
homeseekers.

v. variatiONS iN DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 69
Metropolitan Estimates of Discrimination and Tests for the Influence of Housing Market Conditions
In eight large metropolitan areas, the number of black and Hispanic rental tests was expanded to make
it possible to report local estimates of discrimination. Overall, local estimates mirror the national results
reported in Chapter IV, although the smaller sample sizes mean that the local estimates have less power
to detect significant differences. Appendix D presents complete results for each of these metros. Here
we focus on the two overall measures of discrimination: differences in the number of units available and
shown to minority and white homeseekers.
Rental agents tell blacks about fewer available units than equally qualified whites in all eight metro
areas for which local estimates were computed. In five metro areas (Atlanta, Washington, Houston, Los
Angeles, and Philadelphia), the differences between whites and blacks in number of units available are
statistically significant. In Atlanta and Philadelphia, the differences are substantially above the national
average (of 0.2 units per inquiry). In seven of the eight metros, agents also show blacks fewer units than
equally qualified whites (Washington, DC, is the only exception). These differences are statistically
significant in Atlanta, Houston, and Philadelphia, with the estimate for Philadelphia above the national
average (of 0.06 units per inquiry).
Exhibit V-4: Metropolitan Estimates of Discrimination Against Black Renters
Difference in Number of units
White and Black testers

v. variatiONS iN DiScrimiNatiON
70 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
In each of the eight metro areas where local estimates were computed for Hispanic/white tests, rental
agents tell Hispanics about fewer available units than equally qualified whites. In three of the areas
(Dallas, Houston, and Riverside), the differences between whites and Hispanics in number of units
available are not statistically significant. In six of the eight metros, agents show Hispanics fewer units
than equally qualified whites, but none of these differences are statistically significant. In no sites are the
estimated differences significantly above the average national difference (of 0.21 units per inquiry). In
Houston, the difference in units shown is below the national average (of 0.10 units per inquiry).
Exhibit V-5: Metropolitan Estimates of Discrimination Against Hispanic Renters
Difference in Number of units
White and Hispanic testers

v. variatiONS iN DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 71
To test the hypothesis that discrimination against minority homeseekers might be influenced by housing
market conditions, we used regression analysis to test for potential effects of several metropolitan market
indicators on differences between whites and minorities in the number of housing units shown. We used
data from all 28 sites for this analysis. For rental market discrimination, we tested for variations based
on metro-area rental vacancy rates. For sales market discrimination, we tested for variations based on (1)
metro-area homeowner vacancy rates in 2012; (2) percent change in median house prices since the peak
of the housing boom (mid-2006); and (3) the share of mortgages that were seriously delinquent as of
the first quarter of 2012.
49
These models were separately estimated for blacks, Hispanics, and Asian, and
results are reported in Exhibit V-6.
For each model, this exhibit reports the change in the difference in number of units shown to whites and
minorities associated with a one-unit increase in the measure listed in the left-hand column. For example,
the coefficient 0.0013 in the first row indicates that a one-unit increase in the vacancy rate (e.g., from 1
to 2 percent) is associated with a 0.0013 increase in the difference in the number of units shown to white
and black testers. This tiny difference is not statistically significant, as indicated by the lack of an asterisk
and that the estimated coefficient is far less than twice the reported standard error.
The only statistically significant result reflects higher levels of discrimination against Asian homebuyers
in metropolitan markets that experienced rising house prices during the recession and recovery. Given the
absence of any pattern of meaningful relationships, it does not seem sensible to give this isolated finding
much weight. Overall, therefore, we find no compelling evidence that metropolitan-wide housing market
conditions significantly influence the incidence of discrimination against minority homeseekers.
Exhibit V-6: Metropolitan Housing Market Conditions and Levels of Differential Treatment Estimates From
Alternative Regression Models of the Difference in Number of Units Shown
Market measure
BLACK HISPANIC ASIAN
Coef. Std. error Coef. Std. error Coef. Std. error
Rental tests
metro area rental vacancy rate (percent) 0.0013 0.023 0.0088 0.019 0.0254 0.0332
N 1,806 1,769 1,032
Sales tests
model 1:
% change in metro area median housing price/100 -0.650 0.477 -0.141 0.223 1.124 0.515**
model 2:
Homeowner sales vacancy rate (percent) 0.329 0.226 -0.046 23.372 0.158 0.237
model 3:
Serious delinquency rate (percent) 0.0280 0.0319 -0.060 0.025 0.0534 0.0468
N 1,068 1,036 1,038
Notes: For each model, the table reports the coefficient on a market measure from a regression model of white-minority difference in number of units shown. the model also includes controls for test, tester,
agency, and tract characteristics that are the same for both testers and the month of the test. the model does not control for the metropolitan area. Price change is measured between third quarter of 2006 and
first quarter of 2012; vacancy rates are measured in 2012, and serious delinquency rate is measured in the first quarter of 2010. the analysis is based on tests in which both testers met an agent. ** difference
is statistically significant at the 0.05 level.
49
We also experimented with a cluster analysis using all three of these market indicators to identify the most distressed sales markets in our study sample (Atlanta, Cleveland, Detroit, Miami,
Riverside, and tampa). Levels of discrimination did not differ significantly by whether a site was among the most distressed.

v. variatiONS iN DiScrimiNatiON
72 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Identifiability of Minority Homeseekers
When homeseekers call (or e-mail) to make an appointment, the housing provider might or might not
accurately identify their race or ethnicity. Even when homeseekers meet in person with housing providers,
it is not certain that their race or ethnicity is accurately identified. In HDS2012, a team of coders (Urban
Institute employees who did not know any of the testers) assessed the race/ethnicity of each tester based
on reading the tester’s name and listening to a recording of his or her speech—the information available
to an agent over the phone. A parallel assessment was conducted (by other members of the coding team)
based on name, speech, and a photograph—the information available to an agent during an in-person
meeting. Each tester was assessed by three independent coders based on name and speech and by three
independent coders based on name, speech, and appearance. As a result, it is possible to explore whether
minorities who are identifiable are more likely to experience discrimination.
50

The race or ethnicity of most HDS2012 testers is identifiable based only on their names and their speech
(Exhibit V-7). Roughly two-thirds of minority testers are correctly identified, with Asian testers the least and
Hispanic testers the most identifiable. More than 90 percent of white testers are correctly identified based
on name and speech. Minorities who are misidentified based on name and speech are most often classified
as white. Testers in all racial/ethnic groups are more identifiable in person, but even so, a significant share of
Hispanics and Asians are misidentified (again, Exhibit V-7). Asians who are misidentified based on name,
speech, and appearance are equally likely to be classified as black, Hispanic, or white.
Exhibit V-7: Racial/Ethnic Identifiability of Testers
ACTUAL RACE and ETHNICITY of TESTERS
Black Hispanic Asian White
Perceived race and ethnicity based on name and speech
Black 65.7% 2.9% 5.2% 4.8%
Hispanic 1.4% 76.7% 6.7% 2.9%
asian 2.8% 1.8% 61.7% 0.9%
White 28.1% 17.9 % 23.6% 90.9%
Don’t know 2.0% 0.7% 2.9% 0.5%
Perceived race and ethnicity based on name, speech, and photograph
Black 97.7% 1.3% 7.0 % 0.5%
Hispanic 0.5% 86.2% 6.8% 0.9%
asian 0.6% 1.3% 81.2% 0.0%
White 1.1% 10.1% 3.4% 97.4%
Don’t know 0.1% 1.1% 1.7% 1.2%
50
This is the first time such an assessment has been performed as part of a national paired-testing study.

v. variatiONS iN DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 73
At the telephone or e-mail inquiry stage, renters who are identifiably black or Asian are significantly more
likely to experience adverse treatment (relative to whites) than minorities who are perceived to be white.
Specifically, Exhibit V-8 reports how disparities at the appointment stage and for number of units shown
to whites and minorities differ when the minority tester is perceived to be black, Hispanic, or Asian (as
indicated in the left-hand column) than when the minority tester is perceived as white. For example, the
coefficient 0.014 in the first row indicates that testers who are perceived as black face a 1.4 percentage
point higher rate of net adverse treatment at the appointment stage than testers who are perceived as
white. This difference is statistically significant at the 10 percent level as indicated by the single asterisk.
Black and Asian renters whose race is identifiable based on name and speech are significantly more likely
to experience discrimination at the appointment stage than those perceived to be white. For minority
homebuyers, racial/ethnic identifiability has no statistically significant effect at the appointment stage.
During the in-person visit, renters who are identifiably black, Hispanic, or Asian are shown fewer units
relative to their white counterparts than minorities who are perceived to be white. Similarly, homebuyers
who are identifiably black or Asian face higher discrimination during the in-person visit than minorities
who are perceived to be white.
Exhibit V-8: Racial/Ethnic Identifiability and Levels of Differential Treatment
RENTALS SALES
Coef. Std. error Coef. Std. error
models of difference in whether received appointment
Perceived race and ethnicity based on name and speech
Black 0.014 0.008* 0.012 0.024
Hispanic 0.009 0.006 -0.004 0.028
asian 0.011 0.006* -0.009 0.022
Don’t know -0.020 0.024 0.078 0.093
constant -0.003 0.004 0.002 0.017
N 4,839 3,393
r-squared 0.021 0.018
models of difference in number of units shown
Perceived race and ethnicity based on name, speech, and photograph
Black 0.180 0.083** 0.981 0.558*
Hispanic 0.256 0.097** 0.775 0.539
asian 0.172 0.086* 1.048 0.543*
Don’t know 0.235 0.287 0.693 0.993
constant -0.122 0.081 -0.617 0.515
N 4,584 3,109
r-squared 0.009 0.040
Notes: model also controls for site. Perceived race and ethnicity based on the three independent evaluations. Samples include tests for which at least two evaluators indicated that the white tester was white.
* difference is statistically significant at the 0.10 level, ** at the 0.05 level.

v. variatiONS iN DiScrimiNatiON
74 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Multivariate Analysis of Variations in Discrimination
National and metropolitan estimates provide evidence of the persistence of discrimination in rental and
sales markets, but questions remain about the circumstances in which discrimination may be more or less
likely. If analysis suggests that discrimination is more likely for particular types of homeseekers or housing
providers, enforcement and education efforts could be more effectively targeted. Therefore, we explored
the potential contributions of customer characteristics, agent attributes, and neighborhood composition
to differences in the number of housing units shown to whites and minorities. Few consistent or
compelling patterns emerge.
51
Exhibit V-9 presents results from a regression model testing for variations in levels of rental market
discrimination based on characteristics of tests, testers, rental agencies, and location of the advertised
unit. More specifically, this analysis assesses the extent to which differences in the number of housing
units shown to equally qualified minorities and whites vary systematically. The exhibit reports how
disparities (between white and minority testers) in the number of units shown varies with presence of
the characteristic (or a higher value of the characteristic) indicated in the left-hand column. For example,
the coefficient of -0.085 on “female tester” indicates that discrimination with respect to the number of
units shown is on average 0.085 units lower for women than for men. The coefficient of 0.099 on “both
met Hispanic agent” indicates that when both testers meet an Hispanic agent, differential treatment is
higher by 0.099 units than when both testers meet a white agent. Finally, a $10,000 increase in per capita
income is associated with a .005 unit increase in discrimination. None of these estimates are statistically
significant, as indicated by the lack of an asterisk.
Few coefficients in Exhibit V-9 are statistically significant, and no consistent patterns emerge. Black renters
face significantly higher levels of discrimination if they are male or visit larger housing providers. Hispanic
renters face higher levels of discrimination if they are higher income or meet with a female agent. Asians face
higher levels of discrimination if they meet a black agent or if they meet a different agent than their white
counterpart. No relationships are observed between the racial/ethnic or socioeconomic composition of
census tracts where advertised units are located and levels of discrimination.
The estimated effects of race of agent do not provide support for the hypothesis that minority agents give
preferred treatment to homeseekers of their own race or ethnicity. For example, while there is marginally
significant evidence that black agents discriminate more than white agents against Asians, there is no
evidence that they are less likely to discriminate against black homeseekers. In addition, the analysis
provides no evidence that Hispanic agents are less likely to discriminate against Hispanics or that Asian
agents are less likely to discriminate against Asians.
52

51
Given the large number of potential relationships tested and the small number of statistically significant results, it would be misleading to place great weight on individual coefficients that are
significant.
52
Across all rental tests, testers identified 50 percent of agents as white, 16 percent as black, 23 percent as Hispanic, 4 percent as Asian, and 6 percent as “don’t know” or “other.”

v. variatiONS iN DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 75
Exhibit V-9: Sources of Variation in Discrimination Against Renters
Regression Models of the Difference in Number of Units Shown
BLACK HISPANIC ASIAN
Coef.
Std.
error
Coef.
Std.
error
Coef.
Std.
error

Test characteristics
afternoon tests 0.028 0.094 -0.017 0.114 0.098 0.135
White tester went first -0.027 0.040 0.015 0.041 0.160 0.081 *
Tester characteristics
assigned child -0.030 0.055 0.130 0.100 -0.089 0.064
assigned marriage 0.057 0.046 -0.018 0.054 0.083 0.135
Female -0.082 0.044 * -0.049 0.048 0.018 0.062
minority tester born in u.S. 0.135 0.090 -0.057 0.039 0.087 0.090
Log (white assigned income) -0.016 0.071 0.160 0.053 *** -0.015 0.091
Both employed -0.039 0.048 -0.049 0.050 -0.061 0.129
Both experienced testers 0.097 0.103 -0.042 0.134 0.127 0.174
age -0.001 0.002 0.004 0.002 -0.005 0.004
Agency characteristics
Same agent 0.007 0.047 -0.072 0.057 -0.204 0.073 ***
max # people seen 0.109 0.059 * -0.004 0.032 -0.064 0.059
Both met black agent 0.009 0.098 0.017 0.140 0.190 0.089 **
Both met Hisp. agent 0.107 0.067 -0.025 0.080 -0.095 0.107
Both met asian agent 0.259 0.302 -0.013 0.095 0.047 0.091
Both met female agent 0.001 0.055 0.127 0.051 ** 0.002 0.057
Tract characteristics
Per capita income ($10,000) 0.004 0.009 0.002 0.014 -0.001 0.014
% white/10 0.002 0.011 -0.005 0.021 0.004 0.019
constant -0.131 0.660 -1.400 0.448 *** 0.348 0.885
N 1,732 1,666 991
r-squared 0.066 0.083 0.112
Notes: the table reports coefficients from a regression model (by race/ethnicity) of the difference in number of units shown to the white and minority testers. the model independent variables are those listed in
the table, as well as controls for metropolitan area, calendar month, indicators that a characteristic only applies to one tester, and differences in age between the testers. analysis based on rental tests in which
both testers met an agent. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.

v. variatiONS iN DiScrimiNatiON
76 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
In the sales market, we find more factors associated with variations in discrimination against blacks,
but not against Asian or Hispanics (Exhibit V-10). Again, this analysis focuses on differences between
minorities and whites in the number of homes shown. Black homebuyers face significantly higher levels
of discrimination if they are childless or male.
53
They face higher levels of discrimination from large
agencies (a finding that also applies for black renters). Finally, discrimination against black homebuyers is
lower when the advertised home is located in a whiter neighborhood. In other words, black homebuyers
are more likely to be shown at least as many homes as an equally qualified white when inquiring about
homes in predominantly white neighborhoods. Asian testers face higher levels of discrimination when
they meet with female agents. The lack of consistent patterns across these results makes it difficult to
draw conclusions with relevance for fair housing policy or practice.
Unfortunately, the data provide only weak evidence on whether the race or ethnicity of the agent affects
the degree of discrimination. As discussed in Chapter III, our primary interest is in comparing tests in
which both teammates met with an agent of the same race or ethnicity. In the sales market, black and
Asian agents are rare: testers met with a black agent in only 5 percent of the tests and with an Asian agent
in only 3.5 percent of the tests. (In contrast, testers met with an Hispanic agent in 10 percent of the
tests.) This translates into very few tests in which both teammates met with a black agent (72 sales tests
over the three racial/ethnic groups) or an Asian agent (44 sales tests). (In contrast, both teammates met
with an Hispanic agent in 161 tests).
54
Because of this, the precision of the estimated effects of meeting a
black or Asian sales agent are quite low, and we cannot draw reliable conclusions. Although it is possible
that black homebuyers may experience lower levels of discrimination from black agents, these effects
may well reflect differences in the particular circumstances (e.g., metro area) in which the relatively small
number of tests took place.
53
In addition, for the black and Hispanic tests, discrimination is higher for tester pairs in which both testers are employed outside their roles as testers. This is counter to the expectation that
employed persons, who might be viewed as having stronger “soft skills,” would face less discrimination.
54
We include an indicator of tests with Asian agents in the regression model to ensure that the reference group was white agents, but do not report the results in the text.

v. variatiONS iN DiScrimiNatiON
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 77
Exhibit V-10: Sources of Variation in Discrimination Against Homebuyers
Regression Models of Difference in Number of Units Shown
BLACK HISPANIC ASIAN
Coef.
Std.
error
Coef.
Std.
error
Coef.
Std.
error
Test characteristics
afternoon tests -0.223 0.240 -0.005 0.225 -0.207 0.224
White tester went first -0.129 0.108 0.366 0.179 * -0.061 0.121
Tester characteristics
assigned child -0.538 0.191 *** 0.259 0.213 0.013 0.243
assigned marriage -0.039 0.221 -0.182 0.291 0.190 0.239
Female -0.502 0.253 * -0.094 0.383 0.339 0.303
minority tester born in u.S. 0.481 0.309 -0.068 0.376 0.291 0.321
Log (white assigned income) 0.165 0.175 0.108 0.186 0.009 0.169
Both employed 0.632 0.287 ** 0.784 0.322 ** 0.238 0.346
Both experienced testers -0.386 0.259 -0.412 0.379 -0.930 0.253 ***
age -0.005 0.012 -0.006 0.019 0.026 0.017
Agency characteristics
Same agent -0.076 0.274 0.069 0.238 -0.106 0.171
max # people seen 0.486 0.194 ** -0.083 0.153 0.093 0.148
Both met black agent -0.580 0.326 * -0.424 0.543 -0.359 0.342
Both met Hisp agent 0.266 0.501 -0.136 0.313 0.067 0.568
Both met female agent 0.148 0.195 0.159 0.171 0.623 0.205 ***
Tract characteristics
Per capita income ($10,000) 0.024 0.026 0.022 0.035 -0.031 0.037
% white/10 -0.067 0.041 0.063 0.066 -0.073 0.063
Constant -1.412 1.258 -2.116 2.111 -0.540 1.736
N 1,062 1,030 1,023
r-squared 0.1743 0.113 0.1464
Notes: the table reports coefficients from a regression model (by race/ethnicity) of the difference in number of units shown to the white and minority testers. the model independent variables are those listed in
the table, as well. the analysis is based on sales tests in which both testers met an agent. * difference is statistically significant at the 0.10 level, ** at the 0.05 level, *** at the 0.01 level.

78 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012

aPPENDix a
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 79
APPENDIX A: HDS2012 LOCAL TESTING
ORGANIZATIONS

aPPENDix a
80 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
APPENDIX A. HDS2012 LOCAL TESTING ORGANIZATIONS
The following organizations were contracted to conduct paired tests for HDS2012:
Test Site Organization
nullnullnullernullenullnull United South Broadway Corporation
nulllantanullnull Metro nullir Housing Sernullcesnullnullcnull
BaltinullrenullMD Baltinullore nullighnullrhoodsnullnullcnull
BostonnullMnull Metropolitan Boston Housing nullrtnership
The nullir Housing Center of nulleater Boston
Chicagonullnullarynullnullnullnull nullnull Hnullnull nullir Housing Center
South Sunullrnulln Housing Center
Clenulllandnullnull Housing nullesearch null nulldnullocacy Center
Colunullnullianull SC South Carolina nullppleseed nullgal nullstice Center
Dallasnull Tnull nullrth Tenulls nullir Housing Center
DetroitnullMnull nullir Housing Cent er of Metropolitan Detroit
nullrt nullorthnullrlingtonnullTnull nullrth Tenulls nullir Housing Center
nulleensnullronullinston SalenullHighpointnullnull nulleensnullro Housing Coalition
HoustonnullrazorianullTnull nulleater Houston nullir Housing Center
nullnsas CitynullMnullnull Urnulln nullague of nullnsas
nulls nullgelesnullong BeachnullCnull Housing nullghts Center
Mianullinullialeahnullnull Housing nullpportunities nullonullct for nullcellencenullnullcnullnullnullnull nullcnull
MiddlesenullnullSonullersetnullHunterdonnull nullnull nullw nullrsey Citizen nulltion
nullwarnull null nullir Housing Council of nullrthern nullw nullrsey
nullw nullrsey Citizen nulltion
nullw nullrnull null nullair Housing nullustice Centernull nullncnull
nullange CountynullCnull nullir Housing nullundation
nulliladelphianullnullnullnull nullir Housing nullghts Center in Southeastern nullnnsylnullnia
nullchnullndnulletersnullrgnullnull Housing nullportunities Made nullual of nullrginianullnullcnullnullnullnull
nullnullrsidenullan BernardinonullCnull nullir Housing Council of nullnullrside Countynullnullcnull
San nulltonionullTnull nullir Housing Council of nulleater San nulltonio
San DiegonullCnull nullir Housing nullundation
nullir Housing Council of San Diego
San nullsenullCnull nullonullct Sentinel
Seattlenullnullrettnullnullnull nullir Housing Center of nullshington
Tanullanulltnullnulltersnullrgnulllearwaternullnull nullir Housing Continuunull nullcnull
nullshingtonnullDCnullDnullnull nullual nullghts Center

aPPENDix B
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 81
APPENDIX B: MASTER LIST OF ASIAN AND
HISPANIC SUBGROUPS

aPPENDix B
82 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
APPENDIX B: MASTER LIST OF ASIAN AND HISPANIC SUBGROUPS
Each local testing organization was provided local demographic data on Asian and Hispanic
subgroups represented in their testing area. The data were used to guide tester recruitment
efforts. These lists indicate the subgroups from which local lists were drawn.
Asian Subgroups:
Asian American
Asian Indian
Bangladeshi
Cambodian
Chinese
Filipino
Hmong
Indonesian
Japanese
nullrean
nullnnulln
nullotian
nullalanullsian
nulllanesian
nullcronesian
nulltive Hawaiian
nullcific Islander
nullnullstani
nulllnullnesian
Taiwanese
nulletnamese

aPPENDix B
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 83
Hispanic Subgroups:
Central American (Costa Rican, Guatemalan, Honduran, Nicaraguan, Panamanian, Salvadorian
and other Central American
Cuban
Dominican
Mexican
Puerto Rican
South American (Argentinean, Bolivian, Chilean, Colombian, nulluadorian, Paraguanulln,
Peruvian, nulluguanulln, nullnenullelan, and other South Americannull
Snullni sh
All other Hisnullnic or nulltino grounull

84 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012

aPPENDix c
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 85
APPENDIX C: ASSIGNED FINANCIAL
CHARACTERISTICS EXAMPLE - SALES

aPPENDix c
86 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
APPENDIX C: ASSIGNED FINANCIAL CHARACTERISTICS EXAMPLE - SALES
Address 700 Park View Drive, Washington, DC 20010
Number of Bedrooms null
nullme nullinull null01,null0
nullnull of home nullingnulle nullminullnull
Phone null02null2nullnullnull
Name of AgentnullomnullnnullComnull enull Assonulliates nulleanulltnull
nullst nullnullased nulls
nullansanullion nullnull nullnulles
nullusehonull Comnullsition nullrried Counulle, 2 Chinullren nullifferent nullndersnull
nullme nullinulle is entered into the
nullnullnullunullatornull
nullstersnull finannulls are nullnullnullunullated
based on their assigned
househonulld nullmnullsitionnull
nullnoritnull White
nulltanullnullnthnull nullnullme fo r nullusehonull null,null1 null,null0
nulltanullnulloss Annuanullnullnullme of nullusehonull null2,2null null0,nullnull
nullster Annuanullnullnullme nullnullnullnull nullnull77null
nullster nullnthnull nullnullme null,null2 null,nullnull
nullnullouse Annuanull nullnnullome null12,nullnullnull null11,null7null
nullouse nullnthnull nullnullme null,0null nullnull
Chenulling Anullount Banullnnull null,null0 null,nullnull
nullvings Anullount Banullnnull null0,2null nullnull772
Banullnnull owed on debt to nulleditor 1 nullnull nullnull
nullnthnull nullnullent of debt to nulleditor 1 null0null null0
Creditor 1 nulltnulle of anull ount Car nullan Car nullan
Banullnnull owed on debt to nulleditor 2 null0 null0
nullnthnull nullnullent of debt to nulleditor 2 null null
Creditor 2 null tnullnulle of anullount Nnull Nnull
Banullnnull owed on debt to nulleditor null nullnull nullnull
nullnthnull nullnullent of debt to nulleditor null nullnull null2
Creditor nullnulltnulle of anullount Credit Card Credit Card
Banullnnull owed on debt to nulleditor null nullnull null0null
nullnthnull nullnullent of debt to nulleditor null nullnull nullnull
Creditor nullnulltnulle of anullount Credit Card Credit Card
Banullnnull owed on debt to nulleditor null null null
nullnthnull nullnullent of debt to nulleditor null null null
Creditor null null tnullnulle of anullount Nnull Nnull
nullCnullsnullre 70null nullnull
nullCnullsnullre nullnullusenull 70null nullnull
Amount of Current nullnt nullnull nullnull
nulltanullbanullnnull owed on anull debts null217 null0null
nulltanullmonthnull nullnullents on anull debts nullnull null2null
nulltanullAssets nullnull1null null2,nullnull
nullonthnullnull househonulld innullme is nullnullnullunullated
as anullronullmatenullnullnulltimes the monthnullnull
mortgage nullnullment on a null0nullnullear finulld
nulloan at nullrrent interest ratesnull
nullouse innullme is assigned as nullnullnull
to nullnullnull of testersnull innullomenull
Chenulling anullnullunt banullannull is assigned
11null to 12null of totanull nullash assetsnull
nullvings anullnullunt banullannulle makes unullthe
remaindernull
nullsters are assigned siminullar nulloan
nulla ranulleristinull nullnullredit nullard, auto nulloan,
denullrtment store nulloannullnull
nullCnull snullore is assigned as 700 to 70null
for the minoritnull tester and null to 700 for
the white testernull
Current monthnullnullrent is nullnullunullated as
anullronullmatenullnull2null of assigned monthnullnull
innullomenull
nulltanull assets are nullanullnullunullated so that
testers nulln anullwanull afford to make a
20null down nullanullent on the homenull

aPPENDix c
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 87
Steps in Setting up Parameters:
1. Get sales price of advertised unit.
2. Get assigned marital status of tester.
3. Get race of tester.
4. Select parameters from database based on site, race, marital status, and housing price.
Steps in Creating the Financial Characteristics of Testers:
1. Calculate down payment amount by multiplying the home sales price by the down
payment percentage.
2. Calculate loan amount by subtracting the down payment amount from the sales price.
3. Calculate monthly property taxes by multiplying the housing sales price by the property
tax rate and divide by 12.
4. Calculate monthly mortgage payment based on the advertised unit sale price, the
interest rate parameter, and a constant payment schedule for 3null months.
null Calculate monthly housing expense by adding the monthly mortgage payment and the
monthly property tax payment.
null Calculate cash asset renullirem ent by multiplying loan amount by the closing cost
percentage and adding that to the down payment amount
null Calculate monthly income.by dividing the total monthly expenses by a random number
between the nullont nulld nullt io null nimum and nullont nulld nullt io nullxi mum. Calculate annual
income by multiplying monthly income by 12.
null Calculate the current monthly rent using the rental test calculations for the testernulls
monthly income.
null Calculate monthly nonnullousing credit payments by multiplying monthly income by a
random number between the minimum bacnull end ratio and the maximum bacnull end ratio
and subtracting it from the total monthly expenses.
1null Calculate testernulls share of annual income. nullf single, tester gets assigned the total amount
of annual income. nullf married, the annual income is multiplied by a random number
between the nullpouse nullncome Share null nimumnull and nullpouse nullncome Share nullximumnull
nullis number is assigned to the tester. nulle testernulls monthly income is the testernulls share
of the annual income divided by 12.
11. Calculate spousenulls share of annual income. nullf single, these amounts are set to null nullf
married, the testernulls annual income is subtracted from the total annual income and this
number is assigned to the spouse. nulle spousenulls monthly income is the spousenulls share
of the annual income divided by 12.
12. Calculate total credit balance by dividing the nullon nullusi ng nullyment snull by the null nterest
nullte nulln nullusi ngnull parameter.
13. Calculate cash assets by multiplying the testernull asset renullired by a random number
between the nullenulli red Cash nullset s nullrcent null nimumnull and nullenulli red Cash nullset s
nullrcent nullinimumnull parameters.
14. Calculate checnullng account balance by multiplying the testernull total assets by a random
number between the nullhecnull nulll ance null nimumnull and the nullhecnull nulll ance nullaximumnull
parameters.
1null Calculate savings account balance by subtracting the checnull ng balance amount from the
total assets.

aPPENDix c
88 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
16. Assign credit score by selecting a random number between the “Credit Score Minimum”
and the “Credit Score Maximum” parameters. If marriednull do the same calculation for the
spouse.
1null Assign car loan one by multiplying the “nulltal Credit nulllance” by a random number
between the “Car nullan 1 Share Minimum” and “Car nullan 1 Share Maximum”
parameters. Create the car loan payment by multiplying the “nullon nullousing nullyments” by
the same random number.

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 89
APPENDIX D: RENTER FORMS

aPPENDix D
90 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
ADVANCE CONTACT FORM
(UPDATE FORM FOR EACH CONTACT ATTEMPTED)
Control # - - - 1
Person attempting contact
Type of contact ¨ Phone ¨ E-Mail ¨ Text Message
If telephone contact, complete below:
Phone Number(s): ( )
( )
If e-mail contact, complete below:
nullnnullrnulls Name: nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
nullnnullr E-mail nullnulless:
nullcipient Name: nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
nullecipient E-mail nullnullnullress:
nullay of the nulleenull:
nullate null null Time : ¨ null ¨ PM
If contact was made bnull telephone, complete below:
1null nullith nullom nullnullyou speanull : nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
nullnull nullere you able to obtain housing information nulluring this anullnullance callnull ¨ nulls ¨ No
nullnull null f Nonullnully not null
¨ Tolnullto Call nullcnullnullter
¨ nullusing pronullnullr coulnullnot be reachenull
¨ Telephone number nulls incorrect
¨ No nullsnullr
¨ Telephone Number No nullnger in nullrnullce
¨ nullther (nullecify):

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 91
If contact was made by e-mail, complete below:
3. Did the e-mail response provide you with housing information? ¨ Yes ¨ No
3a. If No, why not?
¨ Invalid e-mail address
¨ Automatic reply explaining someone would contact me later
¨ Automatic reply explaining recipient is away from e-mail, on vacation, etc.
¨ No reply
¨ Told to call agent
¨ Asked for more information
¨ Other (nullecifynull null
If contact was made by either phone or email, continue:
4. Housing Information (enter one type of unit [i.e., bedroom size] per line):
Address of Apartmentnullouse null of
nulldrooms
null inulle Date Availanullle
nullnullDDnullYY
Advertised nullnit?
a. ¨ Yes ¨ No
b. ¨ Yes ¨ No
c. ¨ Yes ¨ No
d. ¨ Yes ¨ No
e. ¨ Yes ¨ No
null nullhat are the offinull hours?
null Is it possinulle to drop in to speanullwith an agent anullut the availanulle housing?
¨ Yes nullou may drop innull ¨ No nullou must have an appointmentnull
null nullrify the address to null visitednull
null Is this the final advannull nullntanull? ¨ Yes ¨ No

aPPENDix D
92 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
9. Based on the results of the advance contact, is the housing ineligible for any reason? ¨ Yes ¨ No
9a. If Yes, please specify a reason for ineligibility:
RENTnull TEnullnull
¨ nullare situation
¨ nullngle Roonullnullcupancy
¨ nullartnullnt locator service
¨ nullblet
¨ Tenullorarynullhortnullernullrental
¨ nullblicnullubsidinulld housing developnullnt
¨ No unit is available for rent
¨nullner does not have nullre than nullunits
nullnullnullTEnullnull
¨ nullr sale by onuller
¨ Enulleeds price range for nullnull
¨ nullultinullnit structure for sale
¨ nullasonalnullacation housing
¨ nullinullroved lot nullousi ng is yet to be constructednull
¨ nullusing that i s uninhabitable
¨ Nenull nullobile honulle for sale through dealership
¨ nullle of nullbile honull but not the land parcel on nullich it i s located
¨ nullort nullle
¨ nullreclosure nulloperty
¨ nullntact i nfornulltion nullanull of agent or agency and phone nunullbernullenullail addressnull for the listing
agent or agency is not directly accessible after attenullting to access that i nfornulltion through the linnull
provided on the Tnullnull
¨ null electronic contact fornull nulls the only nulle thod found for responding to the ad after attenullpting to
access listing agentnullagency contact infornulltion through the linnull provided on the Tnull
RENTnull nullnullnullnullnullTEnullnull
¨ nullusi ng provider could not be reached after several attenullts
¨ Telephone nunuller no longer in service
¨ Telephone nunullber nulls incorrect
¨ Enullail address nulls invalid nullhen the enullail address nullas the only contact infornullation listednull
¨ nulltonulltic reply to advance enullail contact enulllaining recipient i s anully fronullenullail, on vacation,
etc. nullnly nullen agent is not enullect ed to return in a reasonable anullunt of t inull to conduct t he testnull
¨ nulltside of target area for nullnull
¨ nullcated on Indian land null.g., reservations, Rancherias, et cnull
¨nullusing for older persons
¨nullnull racenullenure test al ready conducted at this housing provider in the sanull nullenull
¨nullher reasons as deternullned by the nullrector of nulleld nullerations null.g., detection issues, c onflicts
nullth e nforcenullnt a ctivities, etc.null
¨ nullther nullpecifynull

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 93
10. Based on the source of the advertisement, the wording of the advertisement, and/or information obtained
from a rental agent during the advance contact, please check the most appropriate response:
10a. The rental advertisement refers to a specific rental unit that is available by this housing provider.
¨ Yes ¨ null
10b. The advertisement contains wording that clearly indicates the availability of a nullypenull of rental unit rather
than a specific rental unit null.g., nulltudios and nulle Bedroom nullartments nullailablenullnull. ¨ Yes ¨ null
10c. The advertisement only contains general rental housing availability null.g., nulle have units availablenull.
¨ Yes ¨ null
10d. nullam not sure whether the rental advertisement refers to a specific rental unit or whether it refers to a
nullypenullof rental housing that is generally available through this housing provider. ¨ Yes ¨ null
10e. nullher nullpecifynull
11. The enullct address of the available housing unit is available in the advertisement and/or from the housing
provider. ¨ Yes ¨ null
1null. nullneral nullmments:
1null. This form is complete. ¨ Yes ¨ nullo

aPPENDix D
94 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
_________________________________
__________________________ __ __ __ __ __ __ __
__________________________________________________________
__________________________________________________________
__________________________________________________________
HOUSING DISCRIMINATION STUDY
Assignment Form - RENTAL
SITE:________________
CONTROL #: __ __ - __ __ - __ __ __ __ - 1 TESTER ID NUMBER: __ __ - __ __ __
Type of Approach: Drop In Appointment
Date of Visit (mm/dd/yy): __/__/__
TEST SITE
1. Name of Test Site (Agent/nullompany/nullompnullenull if nullonull):
null. Site Address:___________________________________________ __________
(nnullmnuller and street) (nullnit null)
(city) (state) (nullp)
null Tenullephone nnullnullr of test site:
nullrst phone nnullnullr: (___) ___ − ____
Second phone nnullnullr: (___) ___ − ____
Sonullnull onullInnullrmnullion on Test Site
Adnullrtisement:
Name of Sonullce: ________________
Date of nullnullication: ______________
Tenull of Ad:
Tnulle onull Honulling to null Renullestenull
Nnullnullr of nulldrooms to nullnullest: ___
nullinimnull nnullnullr of nulledrooms nullinullnulling to Accept: ___
Type of nullit: _________
nullonthnully nullnt: ________

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 95
Household Composition:
Single Adult
Single Female Adult, 1 child
Married Couple, No Children
Married Couple, 1 child
Married Couple, 2 children (same gender)
Married Couple, 2 children (different gender)
Married Couple, 3 children
nullnt manullmum: nullnullnull per month
Area Preference
nullf nullu are pressed null the agent, nullu manullstate that nullu are loonullng in: nullnullnullnullnullnullnullnullnull
Remember: You are always open to considering any areas recommended by the agent!
nullason for monullng:
nullnulld at current apartment long enough, readnullfor change
Hanull to monull nullile landlord is remodeling
nullndlord nullnts to rent to familnull memnullrnullfriend
nullner selling nullildingnullnullnt to start loonullng nonull
Ad sounded linull something nulluld null interested in
nullould linull to null settled nullfore school starts
nullnullng nullth familnull memnullrnullfriendnull nullnt onull place
nullnting from relatinullenullfriendnull nullnt onull place
Currentlnull sunulllettingnull tenant monulling nullacnull
Hanulle recentlnull relocated to the area
No reason, nullust nulluld linulle a nenullplace
Other places visited: Just started looking
ASSnullnullnull nullARAnullnullnullSnullnull
nullster Name: nullnullnullnullnullnullnullnullnull
nullester Address: nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull nullnullnullnullnull
(numnuller and street) (unit null)
nullnullnullnullnullnullnullnullnullnullnullnullnullnull null null null null null null null
(citnull (state) (nullip)

aPPENDix D
96 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Voice Mail Number Assigned to Tester: (___) ___ − ____
E-mail Address Assigned to Tester: ______________________
INFORMATION ON TESTER AND TESTER’S HOUSEHOLD
Tester’s Race: __________________
National Origin: _________________
Tester’s Gender: M / F
Tester’s Age: _________
Household Income Gross Monthly Income Gross Annual Income
Tester
Snulluse
Total nullr nullusenullld
Other
Persons nulln
Household
Relatnullonshnullnull Name Senull Anull
nullnull
nullnull
nullnull
nullnull
EMPLOnullMENT INFORMATION
Tester’s current occunulltion:__________________________________________________
Name onull Tester’s current emnullonullr:_____________________________________________
First line onull tester’s emnullonullr’s address:__________________________________________
Second line onulltester’s emnullonullr’s address:_______________________________________
nullengtnull onull emnulllonullment at current nullob:____________________________________________
Name onull snulluse’s current emnullonullr:____________________________________________
First line onullsnulluse’ s emnullonullr’s address:________________________________________
Second line onullsnulluse’s emnullonullr’s address: _____________________________________
Snulluse’s lengtnullonull emnullonullent at current nullob:_____________________________________
nullrednull StandnullnnullnullEnullcellentnullno late nullayments

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 97
CURRENT HOUSING SITUATION
Type of current housing: Rent
Amount of Current Rent: $______
Years at Current Residence: ______
Type of Rental Agreement at Current Residence: Month-to-Month / Lease
History of rent payment at current residence: Alnullys on time
Other characteristics: Nonnullsmonullngnull no pets
Tester owns a carnull: Yes / nullo
nullirections to test site:
_________________________________________________________________
_______________________________________________________________________
_______________________________________________________________________
_______________________________________________________________________
_______________________________________________________________________
_______________________________________________________________________
_______________________________________________________________________
_______________________________________________________________________

aPPENDix D
98 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
INSTRUCTIONS FOR HDS CONTACTS FOR APPOINTMENTS - RENTAL
INSTRUCTIONS:
Please contact the housing provider listed in the advertisement and request an appointment to meet
with someone to discuss the rental housing that was advertised. You should always contact the
housing provider by telephone unless there is only an e-mail address listed, in which case you should
contact the housing provider via e-mail. You need not make your appointment with
any particular agent.
If you are contacting a hounulling nullonullnullr nulla tenullnullone:
• Place the call to the housing provider using your Google Voice number.
To make a call with Google Voice:
null nullg in to Google Voice at voice.google.com
null null the upper right-hand corner, click the green nullll button, which will prompt a bonullto appear.
null Type in the number you wish to call, and choose the nullrwarding phone younull like to call with
nullom the drop down menu.
null nulllick nullonnect. Google will now call the nullrw arding phone you selected in nullep null
null Pick up the call when it rings. Google will connect you with the number you typed in nullep null
null Talknull
To make a call with Google Voice nullom one onullyour Google Voice nullrwarding phones:
null nulloose one onullyour Google Voice nullrwarding phones, and dial your Google Voice number.
null nullen the voicemail begins, hit null
null nullter voicemail pin, and nullllow the voice instructions to make an outgoing call by pressing null
null nullal the number you wish to call.
null Google Voice will connect you.
• nullll up to twice without leaving a message. null the third attempt, leave a brienullmessage. nullt
the housing provider know that you would like to meet to discuss the rental housing that was
advertised nullr rent. Provide your Google Voice number and ask the housing provider to call
you back and let you know whether it might be possible to obtain an appointment on your
assigned day and time nullndicated abovenull
• null you reach the housing provider nullr inullthe housing provider returns your callnull enullress
interest in and ask nullr an appointment to view the advertised rental housing nullenullned as the
particular unit in the ad nullnullapplicablenull and one or more units that are comparable in number
onullbedrooms and pricenull null the agent innullrms you that the advertised unit and other units with
the same number onullbedrooms and comparable in price are no longer available, you will ask inull
there are any nullnullnullrental units that:
null have at least the minimum onullbedrooms nullr your householdnull
null are within your price rangenulland
null are available when you need it nullithin one week onullyour assigned datenull
• null possible, avoid having an enullended or lengthy conversation about rental housing options,
your qualinullcations, or your housing needs over the phone. null necessary, you can always say
that you are pressed nullr time and that you would prenullr to discuss these details when you visit
the onullice.
• nullways thank the person you speak with nullr their assistance and ask nullr their name inullit has
not been provided by the end onullyour call.
If you are contacting a hounulling nullronullinullr nullia e-nullainull:
• nulle only the e-mail address assigned to you nullr use on nullnulltests.

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 99
• Use the text or language that has been provided to you by your Test Coordinator, and inquire
about making an appointment to view the advertised rental housing (defined as the particular
unit in the ad, if applicable) on your assigned day and time (indicated above) and one or more
units that are comparable in number of bedrooms and price.
• null the agent informs you that the advertised unit and other units with the same number of
bedrooms and comparable in price are no longer available, you will ask if there are any nullnullnull
rental units thatnull
null have at least the minimum of bedrooms for your householdnull
null are within your price rangenulland
null are available when you need it (within one week of your assigned date).
For both telephone and e-mail contact:
• null you are able to make an appointment, please remember to obtain in writing the exact date
and time of your appointment along with the name of the person who will be meeting with you
(if applicable). nullso, make sure you have the exact address and directions to the rental office.
• nullcord every contact you make on the nullpointment Contact nullrm as part of your effort to
obtain an appointment.
INSTRUCTIONS FOR ALL HDS SITE VISITS - RENTAL
INSTRUCTIONS:
• null you made an appointment prior to this visit, please ask to speak to the person with whom
you made the appointment. null you are dropping in without an appointment on this site visit,
please ask to speak with a rental agent.
• nullu will express interest in and ask to view the advertised unit (defined as the particular unit
in the ad (if applicable) and any units that are comparable in number of bedrooms and price).
null the agent informs you that the advertised unit and other units with the same bedroom sinull
at a comparable price are no longer available, you will express interest in and ask to view any
other units thatnull
null have at least the minimum number of bedrooms for your householdnull
null are within your price rangenulland
null are available when you need it (within one week of your assigned date).
• nullease remember to obtain information about the exact address (including apartment null,
number of bedrooms, amount of rent, security deposit, other fees, lease length, which utilities
are included and the dates of availability for any homes or apartments suggested by the
agent.
• null you are told about any homes or apartments that meet your needs, please ask about the
application process, find out what amount of money, if any, would need to accompany a
completed application, and whether a credit check is conducted.
• null not ask for or complete a rental application. null the agent offers you an application, you
should agree to take it with you.
• nullstly, if by the end of your visit the agent has not volunteered his or her name, please ask for
it.

aPPENDix D
100 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
APPOINTMENT CONTACT FORM
(ALL CONTACTS WITH AGENT MADE PRIOR TO ANY SITE VISIT SHOULD BE RECORDED ON AN APPOINTMENT CONTACT FORM.
FILL OUT ONE FORM FOR EACH CONTACT ATTEMPTED BY TESTER OR RECEIVED FROM AGENT.)
Control # - - - 1
Tester ID # -
Type of contact ¨ Phone ¨ E-Mail ¨ Text Message
Day of the Week Contact was Attempted:
Date / / Time : ¨ AM ¨ PM
If contact by telephone, complete belownull
Call was nullitiated null y ¨ Testenull ¨ Agent
Callenullnullme:
CallenullPhone nullmnullnull null null
Call nullcipient nullme:
Call nullcipient Phone nullmnullnull null null
If contact by e-manull, complete belownull
E-mail was nullnt null ¨ Testenull ¨ Agent
nullndenullnullme:
nullendenull E-mail Addnullss:
nullcipient nullme:
nullcipient E -mail Addnullss:
If contact by tenull messanull, complete belownull
Text Message nullndenullnullme:
Text Message nullndenullPhone nullmnullnull null null
Text Message nullcipient nullme:
Text Message nullcipient Phone nullmnullnull null null
For anullent nullnullnulltenull e-manull, complete belownull
1null Was this e-mail a nullsponse to a pnullnullonull messagenull ¨ nulls ¨ null

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 101
2. If yes, did you receive this e-mail within 24 hours of the previous message? ¨ Yes ¨ No
3. What was the purpose of the agentnull message?
¨ nullonfirm appointment time
¨ nullncel appointment and reschedule
¨ nullncelled appointment, nullt did not reschedule
¨ nullther nullpecifynull
For tester initiated telephone call, complete below:
4. Was the appointment call completed? ¨ Yes ¨ No
4a. If appointment call was Nnull completed, why not?
¨ nullft message on voicemail, pager, etc. 
¨ nullft message with person
¨ nullold to call nullcnulllater
¨ No answer
¨ Wrong numnullr
¨ nulllephone numnullr no longer in service
¨ nullst terminated null nullst nullordinator
¨ nullher nullpecifynull
nullf an nullpointment nullll is not complet ed, a site visit cannot null conducted.null
For agent initiated telephone call, complete below:
null nullll was received null ¨ nullster ¨ nullst coordinator
null What was the purpose of the agentnulls call?
¨ nullnfirm appointment t ime
¨ nullncel appointment or reschedule
¨ nullnceled appointment, nullt did not reschedule
¨ nullther nullpecifynull
For agent initiated text message, complete below:
null What was the purpose of the agentnulls tenull message?
¨ nullnfirm appointment t ime
¨ nullncel appointment or reschedule
¨ nullnceled appointment, nullt did not reschedule

aPPENDix D
102 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
¨ Other (specify)
If contact was made, continue:
8. Did you make an appointment or site visit arrangements? ¨ Yes ¨ No
9. If appointment or site visit arrangements were NOnullmadenull why not ?
¨ nullnulld no appointment was necessary to visit
¨ nullent winull not make an appointment
¨ No housing is avainullanullnulle
¨ nullst terminated null nullst nullordinator
¨ Other (specify)
If an appointment or site visit arrangement was made, continue:
null. nullhen is your site visit schedunulled for?
Day of the nulleek
Date null null
nullime null ¨ null ¨ null
null. Name of person you have arranged to meetnull
null. nullcation to meet (agentnull officenulladdress of specific homenullother)null
null. nullditionanull informationnull null nullnullnullnullnullnullnullnullnullnullnullnullnull
nullnull nullis form is compnulltenull ¨ Yes ¨ No

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 103
_________________________________
__________________________ __ __ __ __ __ __ __
_______________________________
HOUSING DISCRIMINATION STUDY
SITE VISIT REPORT FORM - RENTAL
CONTROL #: __ __ - __ __ - __ __ __ __ - 1 TESTER ID NUMBER: __ __ - __ __ __
1. Name of Test Site (Agent/Company/Complex, if known):
2. Anullnullss: ______________________________________________________
________________ (nnullnullnullannullstnullet)
(nullnit null)
(nullty) (state) (nullip)
null Type of nullsit: nullnullop nulln Appointment
null nullate annull Time of Site nullisit:
nullte (montnullnully/yeanull: __ __/__ __/__ __ nully of nulleek:
Appointment Time: __ __:__ __ Anull null
null Time nullgan (offinull a nullinulll):__ __:__ __ Anull null
Time gnulletenullnull staff/agent (i f applinullnulle):__ __:__ __ Anull nullnull
Time nullgan meeting witnullagent (if applinullnulle):__ __:__ __ Anull nullnull
Time ennullnull(nullpanullnulle): __ __:__ __ Anull nullnull
null nullnfonullmation on penullsons witnull wnullom yonull nullanull nullontanullt nullnullnulling yonullnull nullisit
nullnullnullnull nullsponses wnullnull appnullpnullatenull:
Name/ nullnull/nullnullinullty (nullenull one nullnnullnull Age nullonull
nullosition
entnull)
nullnullimanully
Wnullnullnullite Inullmenullnulln
nullnullon
Bnullnulllanull null ian
nullo
nullonullnullnull
Hnullnullispaninull Onullnulltnullenull
nullfo
AnullAsian/ DKnullonnullt
nullnullfinullnulllannullnull nullow
W B H A I O DK M F
18- 31- 4null null
30 4null null null
1. Name:___________________
nullsition: ___________________
2. Name:___________________
nullsition: ___________________

aPPENDix D
104 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
__________________________________________________________________
____________________________________
3. Name:___________________
Position: ___________________
4. Name:___________________
Position: ___________________
5. Name:___________________
Position: ___________________
7. Were you able to meet with an agent to discuss housing options?
Yes
No
7a. If No, why not?
(If you were not able to meet with an agent, then this form is complete. Do not
continue.)
null nulld the agent speanullwith you in:
nullnglish only
nullother language only nullspecifynull ____________________________________
nullminullof nullglish and another language nullspecifynull
null. nulld you switch from speanullng nullglish to speanullng another language?
Yes
No
null. nulld you meet with the agent:
Indinulldually null.e., onenullnnullnenull
In a group null.e., with at least one other homeseenullrnull
null. nullw many nulldnullrtised nullssignednull housing units were you told were anullilable? ______
units
null“Advertised” housing has the assigned number of bedrooms for your household, is in your
price range, and is available when you need it. “Advertised” housing also includes housing
that was not explicitly mentioned in the ad.null
null. Whether you asnulld or the agent offered, were you told that any nullthernullhousing was
anullilable? null “Other” housing has at least the minimum number of bedrooms for your
household, is in your price range, and is available when you need it. “Other” housing also
includes housing with a greater number of bedrooms than the advertised (assigned) unit.null

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 105
____________________________________________________________________________
____________________________________________________________________________
Yes
No
12a. If Yes, how many “other” housing units that meet your needs were you told were
available? ________ Units
1nullnullw many TOTAL rental housing units did the agent tell you were availablenull
______________ nullntal Units.
1null If no units were available, were you offered to be nullanulld on a waiting list?
Yes
No
1null nullw many TOTAL rental units did you inspect that meet your needs? ______________
nullental Units. nullnullodel units insnullenullted may be innullluded in this total if they renullresent a unit that
meets your needs.null
1null nulluring your visit, di d the agent nullmment on or manull refer ennull to any of the followingnullnullir
nullusing nullws, nullual nullusing nullnullrtunity, nullen nullusing nulldinannull, or nulltinull
disnullimination nullws?
Yes
No
1null. If Yes, what was the nullmment or referennull?
1null nulld the agent tell you that an anulllinullation form of some nullnd must be nullmnulleted before
renting a unit?
Yes
No
1null nulld the agent asnullyou to nullmnullete an anulllinullation during your visit or give you an anulllinullation
to tanull with you?
Yes
No
1null nulld the agent tell you that a nulledit nullenull was nullrt of the anulllinullation nullonullss?
Yes
No
2null nulld the agent tell you that a nulliminal banullground nullenull was nullrt of the anulllinullation nullonullss?
Yes

aPPENDix D
106 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
_________________________________________________________________________
____________________________________________________________________________
____________________________________________________________________________
No
21. Complete the grid below regarding any of your qualifications to rent that were requested by
the agent. (check only one per line)
Qualification
I
volunteered
Agent
nullquested
nullchanged
in earlier
contact
Agent did
not obtain
a. nullur marital status
b. nullour family sinull
c. nullur or spousenulls income
d. nullur or spousenulls occupation
e. nullur or spousenulls length of employment
f. nullur credit standing

g. nullur rent history
h. nullur addressnullphone number
i. nullthernull
22. Any agent comments on testernull qualifications to rentnull
_________________________________________________________________________
2null nulld the agent manull any remarnull about race or ethnicity that were not associated with the
buildingnullnullor neighborhoodnullnullin which the available rental housing was locatednull
nulls
No
2nulla. If nullesnull record agentnulls commentnull
2null. nullid the agent provide you with any of the following items nullnullAnull nullnullnull nullInull NnullnullAnullnull nullnullnullnull
nullhecnullall that applynull
¨ nullusiness Card
¨ nullochure
¨ nullstings
¨ nulloor nullan
¨ nullntalnullease Agreement
¨ nullift
¨ nullood or beverage
¨ nullher nullpecifynull

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 107
________________________________________________________________
25. What arrangements were made regarding future contact between you and the agent?
(check all that apply)
¨The agent said that he/she would contact you
¨ The agent innullted you to call hi m/her
¨ nullture arrangements were not made
¨ nullher (specify)null
2null. This form is completenull
nulls
null
2null. When was this report completed?
nullte (month/day/year)null ____/____/____ nully of Week
____________________________ Time __ __null_ __ ¨ null ¨ null

aPPENDix D
108 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
_________________________________________________________ __________
AVAILABLE RENTAL UNIT
Complete one form for each unit that you were told about and that met your needs (housing has
at least the minimum number of bedrooms for your household, is in your price range, and is
available when you need it)
CONTROL #: __ __ - __ __ - __ __ __ __ - 1 TESTER ID NUMBER: __ __ - __ __ __
SEQUENCE #: ___ of ___
1. Address:
(street name and number) (unit)
________________________________________ __ __ __ __ __ __ __
(city) (state) (zip code)
1a. Type of Building
Apartment Building - 4 or Fenullr nullits
Apartment Building - nullto null nullits
Apartment Building - null or nullore nullits
nullngle-Family nullme
nullobile nullome
Basic nullformation
null nulls tnulls tnull adnullrtised (assigned) unitnull(i.e.null same number of bedrooms as assigned)
nulls
null
nullt sure
null nullid you inspect a unit todaynull
nulls
null
4. nullnullt did you inspectnull
Actual anullilable unit
nullodel similar to actual anullilable unit
nullnullr unit similar to tnull actual anullilable unit
nullotnulling
null nullte Anullilable __ __ null __ __ null __ __
null. nullonull mucnull is tnulle rentnull null nullmontnull
null nulld tnull agent inform you tnullt tnull rent nulls negotiablenull

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 109
Yes
No
7a. If Yes, please describe: ____________________
8. Number of bedrooms
9. Number of bathrooms ______________________
10. Length of Leasenull nullhecnullall that applnull
nullnthnullonullonth
nullree month
nullnullmonth
nulle nullar
nullo nullar
nullher nullpecifnull: ______________________
11. nulld the unit hanull annullof the follonullng INnullnullnull phnullical conditionsnull nullhecnullall that applnull
nullonulln plaster or peeling paint
nullscoloration of a floor, nullll or ceiling due to nullter leanullge
nullposed nullring
1null. nulld the buildingnulls nullnullnullnullnullhanull annullof the follonullng phnullical conditionsnull
nullhecnullall that applnull
nullgging roof
nullonulln nullndonull
nullarded up nullndonull
Fees
1null nullere nullu told about annullfees that nulluld be renullired null nullnullnullnull null nullnullInullnullInullNnull
Yes
No
1null. nullecifnull annullfees that nullu nullre told nulluld be renullired null nullnullnullnull null nullnullInullnullInullN.
Name of nulle nullount of nulle
(e.g., Credit Check, Cleaning Fee, Application Processing fee, etc.)
null
null
null
null

aPPENDix D
110 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
14. Enter the TOTAL AMOUNT (in dollars) of the fees you were told would be required at the
time of anulllinullationnull
1null. nullid the anullent inform you that any of the fees listed abonulle were in any way nenullotiablenull
nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
nulls
No
1null. nullf nullsnull nullease desnullibenull nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
Security Deposit/Surety Bond
1null nulls a senullrity denullsit andnullor surety bond requirednull
nulls
No
Anullnt did not nullow
1null. null nullesnullhow munullh is itnull
nullnullrity nullnullsit nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
nullrety nullnd nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
1null nulld the anullnt inform you that any nullrt of the senullrity denullsit was nenulltiablenull
nulls
No
1null. nullf nullsnullnullease desnullibenull nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
1null nulld the anullnt inform you that any nullrt of the surety bond was nenulltiablenull
nulls
No
1null. nullf nullsnull nullease desnullibenull nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
1null nulld the anullnt nullonullde you with a nulloinull between a senullrity denullsit and a surety bondnull
nulls
No
Move-in Payments
null. nullere you told about any nullyments that would be required AT Tnull TnullME OnullMOnull nullN null
nulls
No
nullnulla. nullnullenullify any nullayments that you were told would be required AT TnullE TnullME Onull MOnullE nullN.

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 111
Name of Payment Amount of Payment
(e.g., First and Last Month’s Rent)
$
$
$
21. Enter the TOTAL AMOUNT (in dollars) of the payments you nullere told nullould nulle renulluired at
the time of monulle innull $nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull nullnullnullnull
22. nulld the anullnt inform you that any of the payments listed anullnull nullere in any nully nenulltianullenull
nulls
No
22a. nullf nullsnull please desnullinullnull nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull
Financial Incentives/Specials
2null nulld the anullnt inform you that you minullt null anulle to tanull adnullntanull of any finannullal
innullntinulls or spenullals if you denullded to apply for and rent this unitnull
nulls
No
Type of nulllue MonthlynullAnnual nullof Months
nullnnullntinullenullnullenullal
1.
2.
null.
null.
TOTAL nullLUE Onull
nullNnullNTnullnullnullnullEnullALnull
2null null d the anullnt manull any of the follonullnnullnullmments anullut the nullildinnullandnullor surroundinnull
neinullnullrhoodnull
a. Noise
nulli et
Noisy
No nullmment
b. Safety
nullafe nulllonull nullime
nullnnullrous null hinull nullime
No nullmment

aPPENDix D
112 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
____________________________________________________________________________
____________________________________________________________________________
c. Schools
Good
Poor
No comment
d. Maintenance / Services
Good Services / Amenities
Poor Services / Amenities
No comment
e. Race or Ethnicity
Yes
No
If Yes, please record what the agent said:
25null nullis form is completenull ¨ Yes ¨ No

aPPENDix D
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 113
HOUSING DISCRIMINATION STUDY
RENTAL NARRATIVE
Control # -
Tester ID Number:
-
-
- 1
Narrative:
Preparer of Test Narrative:
I prepared this test narrative which is, to the best of my recollection, a true and accurate account
of the events that toonull place durinnull a test in which I participatednull
Todaynulls Date: null null
Day of nulleenull:
Time: : ¨ anullnull ¨ pnullnull

aPPENDix D
114 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
FOLLOW-UP CONTACT FORM
Χ COMPLETE AT LEAST ONE FORM FOR EACH TEST
Χ DO NOT USE THIS FORM TO RECORD APPOINTMENT CONTACT
Χ TESTER: NOTIFY TEST COORDINATOR OF ANY CONTACT AND FORWARD MATERIALS RECEIVED
CONTROL #: __ __ - __ __ - __ __ __ __ - 1 TESTER ID NUMBER: __ __ - __ __ __
SEQUENCE #: _________ of _________
1. Was there any follow-up contact?
Yes (If Yes, complete rest of form)
No
2. Date annulltnullme of contact :
Day of the Weenull:
Date null ___ ___ null ___ ___
nullnulle __ __ : __ __ null null
null nullpe of nullntact
nulllephone call nullnullnullcemanulll messanull to testernulls cell phone
nullnullcemanulll messanull retrnullenullnullnull nullcal nullst nullornullnator
nullostal manull
null-manull
nullenullt nullessanulle
nullther (nullpecnullfy): ______________________
null Name of person manullnnullcontact: ______________________
null Name of anullncy (nullf nullnulln): ______________________
null What was the statenullpurpose of the contact? [check all that apply]
nullent wantenullto see null tester null stnulll nullterestenullnull purchasenullental
nullent wantenullto recommennulla lennullr to the tester
nullent wantenullto let te ster nullow anullut more housnullnnull
nullent wantenullto nullt more nullnformatnullon from tester
nullent wantenullto thannulltester
nullher (specnullfy): ______________________
null. Descrnulle any maternullls recenullenull :
null. nullnull form null complete. ¨ Yes ¨ No

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 115
APPENDIX E: SALES FORMS

aPPENDix E
116 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
_________________________________
__________________________ __ __ __ __ __ __ __
__________________________________________________________
__________________________________________________________
__________________________________________________________
HOUSING DISCRIMINATION STUDY
Assignment Form - SALES
SITE:_______________
CONTROL #: __ __ - __ __ - __ __ __ __ - 1 TESTER ID NUMBER: __ __ - __ __ __
Type of Approach: Drop In Appointment
Date of Visit (mm/dd/yy): __/__/__
TEST SITE
1. Name of Test Site (Agent/nullompany/nullompnullenull if nullonull):
null. Site Address:___________________________________________ __________
(nnullnullr and street) (nullit null
(city) (state) (nullp)
null Tenullephone nnullnullr of test site:
nullrst phone nnullnullr: (___) ___ − ____
Second phone nnullnullr: (___) ___ − ____
Sonullnull onullInnullrmnullion on Test Site
Adnullrtisement:
Name of Sonullce: ________________
Date of nullnullication: ______________
Tenull of Ad:
Tnulle onullHonulling to null Renullestenull
Nnullnullr of nulldrooms to nullnullest: ___
nullinimnullm nnullmnuller of nulledrooms nullinullnulling to Accept: ___
Type of home: ________
nullme nullice: ________

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 117
Household Composition:
Single Adult
Single Female Adult, 1 child
Married Couple, No Children
Married Couple, 1 child
Married Couple, 2 children (same gender)
Married Couple, 2 children (different gender)
Married Couple, 3 children
nullnt manullmum: nullnullnull per month
Area Preference
nullf nullu are pressed null the agent, nullu manullstate that nullu are loonullng in: nullnullnullnullnullnullnullnullnull
nullason for monullng:
nullred of rentingnullnull ould linulle a place of mnullonull
Seems linull a good time to nullnull
nullen renting for a long timenullonulling seems goodnull
nullould linull the tanullnullnefits of homeonullnership
Alnullnull nullnted to onull nullt nenullr toonullthe time
nullould linulle the freedom to decorate mnullonull home
nullnullng ournullnullfirst home
nulleadnullfor the responsinulllitnullof homeonullnership
Hanulle recentlnull relocated to the area
Other places visited: Just started looking
ASSIGNED CHAnullCnullnullSnullCS
nullster Name: nullnullnullnullnullnullnullnullnull
nullester Address: nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull nullnullnullnullnull
(numnullr and street) (unit null
nullnullnullnullnullnullnullnullnullnullnullnullnullnull null null null null null null null
(citnull (state) (nullp)
nullice Mail Numnullr Assigned to nullster: (___) ___ − ____
nullmail Address Assigned to nullster: nullnullnullnullnullnullnullnullnullnullnull

aPPENDix E
118 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
INFORMATION ON TESTER AND TESTER’S HOUSEHOLD
Tester’s Race: __________________
National Origin: _________________
Tester’s Gender: M / F
Tester’s Age: _________
FICO Score:_________
Spouse’s FICO Score:_______
Household Income Gross Monthly Income Gross Annual Income
Tester
Spouse
Total for Housenullld
Reason tester can afford tnull donullpanullent:
I’null nullen sanullng nullite a nullile
Mnullour parents are nulllping null/us
I innullrited nullnenullfronulla relatinull
I/nulle nulld enullitnull in a prenullouslnull onulled nullnull
Other
Persons nulln
Household
Relatnullonshnullnull Name Senull Anull
nullnull
nullnull
nullnull
nullnull
EMPLOnullMENT INFORMATION
Tester’s Current Occupation:__________________________________________________
Nanulle of Tester’s Current nullnullplonuller:_____________________________________________
First line of tester’s enullplonullr’s address:__________________________________________
Second line of tester’s nullplonullr’s address:_______________________________________
nullengtnull of enullplonullnullent at current nullonull:____________________________________________
Tester’s nullenullous Occupation:_________________________________________________
Nanulle of Tester’s nullenullous nullplonullr:___________________________________________
First line of tester’s prenullous enullplonullr’s address:__________________________________
Second line of tester’s prenullious enullplonullr’s address:_______________________________
nullengtnull of enullplonullnullent at prenullious nullonull:___________________________________________
Nanulle of spouse’s current enullplonuller:____________________________________________
First line of spouse’s enullplonullr’s address:________________________________________

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 119
Second line of spouse’s employer’s address: _____________________________________
Spouse’s length of employment at current job:_____________________________________
Name of spouse’s previous employer:__________________________________________
First line of spouse’s previous employer’s address:_________________________________
Second line of spouse’s previous employer’s address: ______________________________
Spouse’s length of employment at previous job:____________________________________
Household Assets
Financial Institution Balance
1. null
null. null
null. null
null. null
Household Debts
Creditors
Name Type of Account Monthly Payment Balance Owed
1. null null
null. null null
null. null null
null. null null
null. null null
null. null null
Credit Standingnull nullcellentnullno late payments

aPPENDix E
120 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
CURRENT HOUSING SITUATION
Type of current housing: Rent
Amount of current rent: $______
Years at Current Residence: ______
Type of Rental Agreement at Current Residence: Month-to-Month / Lease
History of rent payment at current residence: Alnullys on time
Other characteristics: Nonnullmonullngnull no pets
Tester owns a carnull: Yes / nullo
nullirections to test site:
INSTRUCTIONS FOR HDS CONTACTS FOR APPOINTMENTS
STRUCTIONS:
_________________________________________________________________
_______________________________________________________________________
_______________________________________________________________________
IN
Please contact the housing provider listed in the advertisement to request an appointment to meet
with someone to discuss buying a home. You will use the assigned method of communication
(telephone or e-mail) listed on your Test Assignment Form to contact the housing provider for an
appointment. You need not manull your appo intment with any particular agent.
If you are contacting a housing pronullnullr nulla tenullphone:
Place the call to the housing provider using your nullogle nullice number.
To manull a call with nullogle nullicenull
null nullg in to nullogle nullice at voice.google.com
null null the upper right-hand cornernullclicnullthe green nullll buttonnullwhich will prompt a bonullto appear.
null Type in the number you wish to callnulland choose the forwarding phone younull linull to call with
from the drop down menu.
null nulllicnullnull onnect. nulloogle will now call the forwarding phone you selected in nullep null
null Picnullup the call when it rings. nullogle will connect you with the number you typed in nullep null
null Talnull
To manull a call with nullogle nullice from one of your nullogle nullice forwarding phonesnull
null nulloose one of your nullogle nullice forwarding phonesnulland dial your nullogle nullice number.
null nullen the voicemail beginsnullhit null
null nullter voicemail pinnulland follow the voice instructions to manull an outgoing call by pressing null
null nullal the number you wish to call.
null nullogle nullice will connect you.
• Do not nullntion the anullertisenullhonull for sanull nullring your tenullphone connullrsationnull nullf
asnulld why you are calling this real estate companynullyou may say that you have seen homes
listed by their company (without mentioning the specific advertisement).
• null you are able to speanullto an agentnullconvey interest in buying a homenullbut try to avoid a long
or enullended conversation about specific homes or your qualifications over the phone. nullf
necessarynullyou can always say that you are pressed for tim e and would prefer to discuss the
details when you arrive for your appointment.

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 121
• Make the appointment for the date and time frame specified in the instructions (listed above).
• If you are able to make an appointment, please remember to obtain the exact date and time
of your appointment along with the name of the person who will be meeting with you. Also,
make sure you have the exact address and directions to the sales office.
• If the agent tells you that you must bring certain documents along with you to the real estate
office (e.g., tax statements, payroll stubs, etc.), you should simply tell the agent that you will
try to pull some information together and bring it with you to the meeting without promising
that you will arrive with all of the documents that the agent requested. nullbviously, you will not
bring any documents with you to the meeting, but you should be prepared to provide detailed
information from your test assignment form concerning your income, debts, assets, credit
history, and nullnull score (which you will list on your nullheat sheetnull.
• If the agent asks you about nullenullualification, follow the guidance given belownull
o If an agent asks whether anyone has nullrenullualifiednullyou or helped you figure out what
you can afford, you should indicate that you have not met with anyone to discuss your
financial qualifications.
o If a real estate sales agent recommends that you meet with a mortgage broker or
financing specialist while in the sales office, you should be agreeable to that
arrangement (although you will not authorinull a credit check or provide your social
security number or date of birth under any circumstances). Do not agree to visit a
lender or mortgage broker prior to meeting with the agent.
o If the agent tells you that you must first talk with a lender prior to visiting the
real estate office, please tell the agent that you appreciate the suggestion but that
you would still like to meet with the agent to find out what the company might have to
offer. null not refuse to meet with a lender. Instead, simply indicate that you would first
like to meet with the real estate agent. If the agent is still unwilling to make an
appointment, please thank the agent and notify the nullst nullordinator immediately to
obtain further instructions.
• nullank the agent you speak with for the information or assistance and ask for the agentnull
name if it has not been provided during your conversation.
• nullen making appointment calls, be persistent. In the event that you do not reach an agent on
your first attempt, try calling at different times of the day. nullth testers must get a response
within null hours to conduct the test. After nullunsuccessful attempts to reach a housing provider,
leave a short message with your nulloogle nulloice number stating that you are trying to arrange a
meeting to discuss homes for sale for a particular day and time (indicated above) and notify
your nullst nullordinator.
If you are contacting a housing provider via e-mail:
• nulle only the enullail address assigned to you for use on nullnulltests.
• nulle the text or language that has been provided to you by your nullst nullordinator, and inquire
about making an appointment to view available homes for sale. Do not mention the
advertised home for sale.
• Make the appointment for the date and time frame specified in the instructions (listed above).
• If the agent tells you that you must bring certain documents along with you to the real estate
office (e.g., tax statements, payroll stubs, etc.), you should simply tell the agent that you will
try to pull some information together and bring it with you to the meeting without promising
that you will arrive with all of the documents that the agent requested. nullbviously, you will not
bring any documents with you to the meeting, but you should be prepared to provide detailed
information from your test assignment form concerning your income, debts, assets, credit
history, and nullnull score (which you will list on your nullheat sheetnull.
• If the agent asks you about nullenullualification, follow the guidance given belownull
o If an agent asks whether anyone has nullrenullualifiednullyou or helped you figure out what
you can afford, you should indicate that you have not met with anyone to discuss your
financial qualifications.
o If a real estate sales agent recommends that you meet with a mortgage broker or
financing specialist while in the sales office, you should be agreeable to that
arrangement (although you will not authorinull a credit check or provide your social

aPPENDix E
122 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
security number or date of birth under any circumstances). Do not agree to visit a
lender or mortgage broker prior to meeting with the agent.
o If the agent tells you that you must first talk with a lender prior to visiting the
real estate office, please tell the agent that you appreciate the suggestion but that
you would still like to meet with the agent to find out what the company might have to
offer. Do not refuse to meet with a lender. Instead, simply indicate that you would first
like to meet with the real estate agent. If the agent is still unwilling to make an
appointment, please thank the agent and notify the Test Coordinator immediately to
obtain further instructions.
For both telephone and e-mail contact:
• If you are able to make an appointment, please remember to obtain in writing the exact date
and time of your appointment along with the name of the person who will be meeting with you
(if applicable). nullso, make sure you have the exact address and directions to the sales office.
• nullcord every contact you make on the nullpointment Contact nullrm as part of your effort to
obtain an appointment.
INSTRnullnullInullNS FnullR nullnullnull nullDS SITnull nullISITS - SnullnullnullS
INSTRnullTInullS:
• If you made an appointment prior to this visit, please ask to speak with the person with whom
you have the appointment. If you made a nulleneralnullappointment (i.e., you do not have a set
appointment with a particular agent), you will ask to speak with any available sales agent. If
you are dropping in without an appointment on this site visit, please ask to speak with a sales
agent.
• nullpress interest in and ask to view the home that was advertised for sale. nullk the agent to
recommend other homes that have the same number of bedrooms as the advertised home.
• nullpress interest in and ask to view any homes that are recommended by the agent provided
that they have the same number of bedrooms as the advertised home or at least the minimum
number of bedrooms for your household.
• nullter viewing the advertised home, be prepared to spend up to three (null additional hours
viewing other recommended homes for sale. These additional homes may be inspected during
your initial site visit or on one subsenullent site visit that you arrange with the real estate
agent.
• If, in response to your renullest that the ag ent recommend some homes to view, the agent
presents you with a long list of homes available for sale, please ask the agent to recommend
homes to show you so that you can begin to get an idea of what is available. If the agent
refuses to pick out any homes on the list and insists that you make the selections, please tell
the agent that you would like to take the list of homes with you so that you can spend some
time looking it over. nullnullnull select the homes to view.
• nullease remember to obtain information about the exact address (including the unit number, if
applicable) of each property that is recommended by the agent, the number of bedrooms,
current asking price, and the type of home, if this information is not provided by the end of
your visit.
• If an agent asks whether anyone has nullrenullualifiednullyou or helped you figure out what you
can afford, you should indicate that you have not met with anyone to discuss your financial
nullalifications. If the agent offers to assist y ou to figure out your price range, or if henullhe
recommends that you speak with a lender, mortgage broker, or someone else to be nullre null
nullalifiednull please provide any renullested information about your income, debts, assets,
etc. exactly as it appears on your assignment form.
• nullmember that you are allowed to speak with a mortgage broker or real estate financing
specialist based in the real estate office you are visiting. nullu also may speak via telephone
with a mortgage broker or real estate financing specialist while you are meeting with the real
estate agent. If an agent, at any point, tells you that you must make arrangements to go to

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 123
another location to visit a lender or financing specialist of some kind, you should thank the
agent for this advice but politely decline to do so at this time.
• Do not, UNDER ANY CnullCUnullnullNCEnull provide your date of birth, social security number, or
authorinull anyone to conduct a credit check. null anyone asks about your credit standing or
renullests that a credit check be conducted, offer to characterinull your credit as it appears on
your assignment form. null you are provided nullth an estimated price range or nullth an estimated
mortgage amount for nullhich you might nullalify, please remember to include this information in
your notes.
• null you are provided more detailed information about financing options, be sure to nullite donull
the information that is offered null.g., type of financing, interest rates, donull payment
renullirements, etc.null Also, if the agent refers you to a lender or mortgage broker for further
assistance nullth financing, please remember to include this information in your notes.
• nullstly, thank the agent for the information and if by the end of your visit the agent has not
volunteered his or her name, please ask for it.

aPPENDix E
124 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
HOUSING DISCRIMINATION STUDY
SITE VISIT REPORT FORM -SALES
CONTROL #: __ __ - __ __ - __ __ __ __ - 1 TESTER ID NUMBER: __ __ - __ __ __
1. Location of Office:
Firm Name (if applicable): ____________________________________________________
Office/Room Number: _______________________________________________________
Firm Address: _____________________________________________________________
(number and street)
__________________________
(city)
__ __
(state)
(unit #)
__ __ __ __ __
(zinull)
null
nully of nulleenull
nullte and nullme of meetinnull
nullte (montnullday/year): __ __/__ __/__ __
_______________________________
Anullointment nullme: __ __:__ __ ¨ Anull ¨ null
null nullme benulln (office arrinullnull:__ __:__ __ Anull null
nullme nulleeted by staff/anullnt (i f anullnullicabnulle):__ __:__ __ Anull null
nullme benulln meetinnullnulltnullanullnt (if anullnullicabnulle):__ __:__ __ Anull null
nullme ended (denullrture):__ __:__ __ Anull nullnull
null nulls tnulls your second meetinnull
¨ nulles
¨ No
null. nullnformation on nullersons nullitnull nullnullom you nullad contact durinnull your nullisit
nullcnullcnullresnullnses nullere anullronulliatenull :
Name Race/nullnullicity (cnullcnullone
entry)
nullnder Anull nullounull
nullrimary
nullrson
nullo
nullonullded
nullfo
Wnullnullnullite
Bnullnullnullcnull
Hnullnullisnullanic
AnullAsian/
nullcific nullnulla
Inullmerican
nulldian
OnullOtnuller
DKnullonnullt
nder nullonull
nullosition W B H A I O DK M F
18-
30
31-
4null
4null
null
null
null
1. Name:___________________
nullsition: ___________________
¨
2. Name:___________________ ¨

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 125
Position: ___________________
3. Name:___________________
Position: ___________________
¨
4. Name:___________________
Position: ___________________
¨
6. Were you able to meet with an agent today to discuss housing options?
¨ Yes
¨ No
6a. If Yes, where did you meet?
¨ nullentnulls office
¨ nullmewhere else
6b. If No, why not?
null nulld the agent decline to meet with you today?
¨ Yes
¨ No
null. If yes, why?
______________________________________________________________________
______________________________________________________________________
(If you were not able to meet with an agent, then this form is complete. Do not
continue.)
null nulld the agent speanullwith you in:
nullnglish only
nullother language only null specifynull ____________________________________
nullminullof nullglish and another language nullspecifynull
____________________________________
null nulld you switch from speanullng nullglish to speanullng another language?
Yes
No
null. When you asnulld about the anullilability of the adnullrtised home, what were you told? nullhecnull
only nullnullbonull
¨ nullme is anullilable
¨ nullme is not anullilable

aPPENDix E
126 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
_______________________________________________________
____________________________________________________________________________
¨ The agent did not know the status of the house.
¨ Home available but agent recommended that I not consider it
¨ Something else (specify):
11. Did the agent recommend any other homes than the advertised home?
¨ nulles
¨ null
¨ nullent did not know
11a. If nullsnull how many nullthernullhom es did the agent recommend? ____Homes
1null How many Tnullnull homes were recommended to younull including the advertised
home?______ nulld units from nulluestions 1nullnullf you answered nullome is availablenull and
11a.
1null How many Tnullnull homes did you insnullct? _______
1null How many homes did the agent offer for your re view in a listing or other format nulli.e.null these
homes were nullT Snullnull nullInullnullnull nullnullnullnullDnullnull ______ Homes
1null During your visitnulldi d the agent comment on or make reference to any of the following: nullir
Housing nullwsnullnullual Housing nullnullrtunitynull nullen Housing nulldinancenull or nulltinulliscrimination
nullw?
¨ nulls
¨ null
1null. If yesnull what was the comment or reference?
1null null any time during your visitnulldid the agent refer you to another real estate agent for
assistance in buying a home?
¨ nulls
¨ null
1null. If nullsnull did this other agent work for the same real estate agency?
¨ nulles
¨ null
1null. If you were referrednull and the agent worked for the same agencynull using the numbers from
nullestion null enter the number of the nullrson to whom you were referred: nullenter line null

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 127
17. Was the agent’s role described to you as being one of the following:
¨ Buyer’s agent
¨ Seller’s agent
¨ Dual agent
¨ Did not disclose
18. Were you asked to sign any agreements or documents?
¨ Yes
¨ null
18a. nullf Yesnull nullease snullcify each below:
Document nullme nullrnullse Did you sign?
1. ¨ Yes ¨ null
null. ¨ Yes ¨ null
null. ¨ Yes ¨ null
null. ¨ Yes ¨ null
1null Did the agent asnullif you had already nullsited a lender or been nullenullualified for financing?
¨ Yes
¨ null
null. Did the agent nullnullnullSnullto nullonullde any sernullces unless you were nullenullnullalified by a lender
nullnd agent did not offer a way for you to be nullenullalified during the site nullsitnull
¨ Yes
¨ null
nulla. nullf yesnull checnullall that anullly:
¨ nullent could not tell me about the adnullrtised home
¨ nullent could not recommend any homes to me
¨ nullent could not nullonullde me wi th any listings
¨ nullent could not show me any homes
¨ nullent would show me only the adnullrtised home but no other homes
¨ nullent would not m anull a second site nullsit anullointment wi th me
null. nullomnulllete the grid below regarding any of your nullalifications to nullrchase a house that were
renullested by the agent at any nullint. (check only one per line)
nullalification null nullent nulltained nullent di d

aPPENDix E
128 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
volunteered Requested earlier not obtain
a. Your marital status
b. Your family size
c. Your or spouse’s income
d. Your or spouse’s occupation
e. Your or spouse’s length of employment
f. Your savings/assets (e.g. funds available
for downpayment, closing costs, etc.)
g. Your debts
h. nulledit nullanding
i. Reason for moving
null. nullographic preference
null Your address/phone number
l. Your current housing situation (rent/own)
m. nullhernull
nullnull. nullid the agent tell you that you were not qualified to be a homebuyer at this timenull
¨ Yes
¨ null
nullnull. nullid the agent volunteer to help you find financing or recommend a mortgage company,
lender or bronullrnull
¨ Yes
¨ null
null. nulld the agent di scuss the type of financing that might be available to younull
¨ Yes
¨ null
null. nullring the visit, did anyone prenullualify you or calculate for an estimated home price or loan
amount for which you could qualify using your specific financial information (income, debts,
and assets)null
¨ Yes
¨ null
null. nullme nullicenull
nulld the agent suggest a home price or price range for which you might qualifynull
¨ Yes

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 129
¨ No
26a. If Yes, what was the home price or price range? (If entering price instead of price range,
enter in the highest box.)
$ ___________________ (lowest) $ ___________________ (highest)
2null nullannullnullrtgage nullonulltnull
nulld the agent snullgest a mortgage amonullt ($ borrowed) or range for which nullnullmight
nullalifnull
¨ Yes
¨ No
2null. If Yes, what was the total loan amonullt range?
$ ___________________ (lowest) $ ___________________ (highest)
2null. Interest nulltesnull
nulld the agent mention interest rates for mortgage loans?
¨ Yes
¨ No

aPPENDix E
130 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
____________________________________________________________________________
____________________________________________________________________________
28a. If Yes, what were the interest rates mentioned?
________% (lowest) ________% (highest)
29. Monthly Payments:
nulld the agent mention monthly nullyments for a mortgage loan?
¨ Yes
¨ null
29a. If Yes, what were the monthly nullyments?
null___________________ (lowest) null___________________ (highest)
null. nullwnnullyment:
nulld the agent mention the linullly downnullyment on a honulle?
¨ Yes
¨ null
nulla. If Yes, what was the downnullyment amonullt or nullrnullntage?
nullwnnullyment nullonullt: null__________ (lowest) null__________ (highest)
nullwnnullyment Pernullnt: ________% (lowest) ________% (highest)
null. nulld the agent di snullss any of t he following with yonull nullhenull all t hat anulllynull
¨ Paying down denulls
¨ nullnull nullnsolidation
¨ nullwnnullyment assistannull (gift, snullnullal nullogram)
¨ nullnulligner
¨ nullller assistannulle
¨ Prenullnulllifinulltion letter
nulla. nullr any items disnullssed, nullease desnullinull what yonullwere told:
null. nulld the agent di snullss or manull any nullmment s anullnull snullnull finull neighnullrhoods or geogranullinull
areas that were not assonullated with any renullmmended homes? (If yes, fill onull a
nullighnullrhood Information nullrm.)
¨ Yes
¨ null
null. nullid the agent manull any remarnull anullnull ranull or ethninullty that were not assonullated with any
nullrtinulllar homes or neighnullrhoods?

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 131
_____________________________________________
____________________________________________________________________________
________________________________________________________________
____________________________
¨ Yes
¨ No
34a. If Yes, please record what the agent said:
35. Did the agent provide you with any of the following items null null Ynullnull DID Nnullnull nullnull nullnullnullnull
nullhecnullall that applynull
¨ nullsiness nullrd
¨ nullochure
¨ nullstings
¨ nullmenullying guidenullideo
¨ nullnancing Information
¨ nullnancing nullrnullheet
¨ nullrtgage nulllculator
¨ nullft
¨ nullod or nullverage
¨ nullher nullpecifynull ________________________________
3null nullhat arrangements were made regarding future contact nulltween you and the agentnull
nullcheck all that applynull
¨ nulle agent said that henullhe would contact you
¨ nulle agent invited you to call hi mnuller
¨ nullrrangements for future contact were not made
¨ nullher (specify):
3null. nullhen was this report completednull
Date nullonthnulldaynullyearnull ____null____null____ Day of nulleenull
nullme __ __:__ __ ¨ nullnull ¨ null
3null. nullis form is complete. ¨ Yes ¨ No

aPPENDix E
132 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
_________________________________________________________ __________
________________________________________ __ __ __ __ __ __ __
RECOMMENDED HOME
(Complete one form for each home recommended and/or inspected)
CONTROL #: __ __ - __ __ - __ __ __ __ - 1 TESTER ID NUMBER: __ __ - __ __ __
SEQUENCE #: ___ of ___
1. Full Address of Home
(street name and number) (unit)
(city) (state) (zip code)
2. Basic Information
a. Is tnulls tnull adnullrtised nullmenull
nulls
null
b. Honullmany bedrooms nullre in tnull nullmenull _______________
c. nullnullt nulls tnull current asnullnnullpricenull null
d. nulld you inspect tnull nullmenull
nulls
null (snullp to nullestion null
null. nullnullt type of buildinnull is itnull
nullinnulle-family detacnulld
nullplenull
nullnullouse or nullnullnulluse
nullulti-family structure
nullobile Home
null nulld tnull unit nullnull any of tnull follonullnnullInullnullnullnull pnullsical conditionsnull nullnullcnullall tnullt applynull
Bronulln plaster or peelinnullpaint
nullscoloration of a floornull nullll or ceilinnulldue to nullter leanullnull
nullposed nullrinnull
null nulld tnull unit nullnull any of tnull follonullnnullnullnullnullnullnullpnullsical conditionsnull nullnullcnullall tnullt applynull
nullnullinnullroof
Bronulln nullndonull
Boarded up nullndonull

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 133
6. Did the agent make any of the following comments about the surrounding
neighborhood?
a. Noise
Quiet
Noisy
No comment
b. Safety
Safe/low crime
Dangerous/high crime
No comment
c. Schools
Good
Poor
No comment
d. Investment
Rising nullalues/good innullestment
null at nulll ues/not much anullreci ation
Declining nulll ues/denulleciation
No comment
e. Public Services
Good Sernullices/amenities
Poor/unreliable sernull ces
No comment
f. Race or ethnicity?
nulls
No
nullf nullsnull null ease record what the agent said about race or ethnicitynull
null. nullis form is comnullete . ¨ nulls ¨ No

aPPENDix E
134 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
NEIGHBORHOOD INFORMATION
Complete one form for each neighborhood that the agent discussed with you other than those
surrounding recommended and/or inspected homes.
CONTROL #: __ __ - __ __ - __ __ __ __ - 1 TESTER ID NUMBER: __ __ - __ __ __
1. Name of Area: __________________________________
2. This area is a:
County
Town or City
School District
Neighborhood
Donnullt nullow
nullher
null Did the agent manull any of the following comments about the neighborhoodnull
a. Noise
nulluiet
Noisy
No comment
b. Safety
Safenullow crime
Dangerousnullhigh crime
No comment
c. Schools
nullod
nullor
No comment
d. Investment
nullising nullaluesnullgood innullestment
nullat nullluesnullot much anullreciation
Declining nullluesnulldenulleciation
No comment
e. Public Services
nullod sernullcesnullmenities

aPPENDix E
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 135
___________________________________________________________________________
___________________________________________________________________________
Poor/unreliable services
No comment
f. Race or Ethnicity?
Yes
No
If Yes, please record what the agent said: _________________________________________
4. This form is complete. ¨ Yes ¨ No

aPPENDix E
136 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
HOUSING DISCRIMINATION STUDY
SALES NARRATIVE
Control # - - - 1
Tester ID Number: -
¨ 2 Site Visit Number: ¨ 1
Narrative:
Preparer of Test Narrative:
I prepared this test narrative whinullh isnull to the best of mnullrenullllenullionnull a true and anullurate anullount
of the events that toonullplanull durinnulla test in whinullh I partinullipatednull
Todanull s Date: null null
Danullof nulleenull:
Time: : ¨ anullnull ¨ pnullnull

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 137
APPENDIX F: METRO-SPECIFIC RENTAL
ESTIMATES

aPPENDix F
138 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
APPENDIX F. METRO-SPECIFIC RENTAL ESTIMATES
This appendix presents current estimates of the incidence and forms of rental discrimination
experienced by blacks and Hispanics in selected metropolitan markets where large samples of
paired tests were conducted. For each metropolitan market, we provide a complete set of
treatment indicators, discussing those where the incidence and severity of treatment differs
between whites and minorities. The results are ordered by metropolitan market. This section
solely deals with the variation in experiences upon meeting with an agent, as there was no
significant difference in any metropolitan market in the ability to make an appointment over the
phone.
Atlanta
Black Renters. When both black and white members of a tester pair meet with an agent in
person, whites are 5.4 percentage points more likely to be told any unit is available. nullreover,
in null percent of tests one partner was told about more units than the other, with whites null.null
percentage points more likely to be told about at least one more unit than comparable blacks.
nuller all the tests, blacks learn about .4nullfewer available units per visit than whites, meaning
that over nullust two innullerson visits to rental agents, a black homeseeker would learn about
approximately one fewer available unit than a comparable white.
nullf both white and black members of a tester pair are told about available units, the black
homeseeker is still null5 percentage points less likely than the white to be shown at least one unit.
However, the average number of units shown to blacks and whites does not differ significantly
When both testers inspect at least one unit, whites report .null more problems, on average, with
inspected units. Furthermore, in almost onenulluarte r of tests, one tester saw more problems than
the other, and in these cases whites are null percentage points more likely to have seen more
problems, while blacks are null.nullpercentage points more likely to have seen at least one home
without any problems.
For many financial indicators, we find no significant difference in the treatment of whites
and blacks. However, blacks are significantly more likely than whites to be offered a monthnulltonull
month lease, while whites are more likely than blacks to be told about higher fees and have
payment renullired at move in. However, the difference in av erage net costs is small and not
statistically different from nullro.
nullost comments, nullestions, and information provided to blacks and whites do not differ
significantly, and overall levels of agent helpfulness to whites and blacks are not significantly
different. nullditionally , in the onenulluarter of tests that an agent follow ed up with only one tester,
the agent is nullnullpercentage points more likely to follow up with nullust the white tester. However,
blacks are more likely than comparable white homeseekers to receive comments or nullestions
about their credit standing and rent history.

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 139
Chicago
Black Renters. Rental unit availability and inspection measures do not differ significantly for
black and white testers in the Chicago MSA. However, black testers on average see more
problems, are more likely to see more problems, and are less likely to see at least one home
with no problems, than their white counterparts. Most comments, questions, and information
provided to blacks and whites are not significantly different, though blacks are more likely to be
told a credit check must be completed than whites are, and whites are nullpercentage points more
likely than blacks to receive a follow up from the rental agent.
However, blacks are more likely than whites to be told that fees are required for a
particular unit and to be quoted higher fees for a unit, while required payments at movenulln are
nullnullnullnull greater for blacks than for whites. nullverall, average first year net cost is nullnullnullnull higher for
black homeseekers than for whites. nullrthermore, in the over null percent of cases in which one
homeseeker faces a higher net cost than the other, whites are favored over blacks by almost null
percentage points.
Hispanic Renters. nullere is no significant difference in the rates at which Hispanic and white
testers in Chicago are informed about or inspect available units. nullough average differences in
costs and financial components of the rental minimally favor whites, these differences are not
statistically significant, enullept for the nullnull in higher payments, on average, required of
Hispanics at movenulln.
Most comments, questions, and information provided to Hispanics and whites were not
significantly different, though Hispanics report a higher likelihood of hearing comments on their
credit standing. Additionally, agents are more likely to make arrangements for future contact
with whites than with Hispanics, though agents actually follownullup with Hispanics and whites at
an equal rate.
Dallas
Hispanic Renters. nullhen both white and Hispanic members of a tester pair meet with an agent
in person, they are equally likely to be told that at least one unit is available. However, in the
null.nullpercent of cases that one tester is told about at least one more unit than his or her partner,
whites are null.nullpercentage points more likely than Hispanics to learn about more units. As a
result, whites find out about .null more units overall than Hispanics do, on average. nulle average
number of units inspected does not significantly differ between whites and Hispanics, though
Hispanic testers are marginally more likely than white testers to view any units at all. nullhites are
also more likely to see more problems with inspected units than Hispanics, and less likely to see
at least one home without any problems.
Most financial indicators show no significant difference for Hispanics and whites.
Hispanic testers are more likely than whites to be told higher fees for any unit, though they are
also more likely to be told fees are negotiable, and to be offered a two year lease. nullere is
significant variation in comments received and information provided by homeseekers, with
whites less likely than Hispanics to be told a background check is required, and more likely than

aPPENDix F
140 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Hispanics to receive comments on rent history, be provided with more items by the rental agent,
and have arrangements made for future contact (though agents are equally likely to follow up
with Hispanics and whites). White homeseekers are also more likely than Hispanic
homeseekers to receive a positive remark from the agent, and more likely to receive more
positive remarks than their Hispanic counterpart. Finally, rental agents are more helpful to
whites, on average, than to Hispanics.
Detroit
Black Renters. When whites and blacks in Detroit are both able to meet with an agent, null.null
percent of the time one tester is told a unit is available while their partner is told it is not, with
whites nullnullpercentage points more likely than comparable blacks to be favored. nulloreover, when
one tester is told about more units than his or her partner (which occurs null percent of the time),
whites are null.nullpercentage points more likely to be favored. nullis results in whites learning
about .null more units, on average, than comparable black homeseekers. However, amongst
pairs that both learn about an available unit, there is no statistical difference in the number of
units inspected, and amongst pairs that both inspect units, there is no statistical difference in the
number of problems encountered.
nullere is neither a statistical difference in average rent quoted to t he testers, nor in
average payment required at move in. null average, however, blacks are quoted nullnullmore in
fees and informed of a security deposit that is nullnulllarger than those quoted to comparable
whites. null a result, in the null percent of cases in whic h one homeseeker is quoted a higher net
cost than the other, whites are favored over blacks by null perc entage points. nulloreover, white
homeseekers report an average first year net cost that is nullnull less than comparable black
homeseekers do.
nullmments, questions, and information provided to blacks and whites are not
significantly different, though when the agent only follows up with one tester, he or she favors
the white homeseeker by null.nullpercentage points over the black homeseeker.
Houston
Black Renters. Houstonian blacks and whites are equally likely to be told any unit is available,
but in null percent of tests one homeseeker is told about more units than the other. nulln those
cases, white homeseekers are favored by null.nullpercentage point s over black homeseekers, and
on average whites are told about .nullnullmore units per visit than comparable blacks. nullmilarly,
when both white and black members of a tester pair are told about available units, they are
equally likely to be shown at least one unit, but whites are shown .nullnull units more overall than
comparable blacks, on average. nulloreover, when both testers inspected at least one unit, the
black tester is more likely to see more problems than his or her white partner, and less likely to
see at least one unit without any problems. nullonsequently, blacks see .null more problems per
unit, on average, than whites do.

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 141
The average rent and overall yearly net costs quoted to black and white testers are not
statistically different, but there is some variation in other financial discussions. Blacks are more
likely than whites to be offered both month-to-month rental contracts and two year leases, but
whites are more likely than blacks to be told that fees and deposit or bond requirements are
negotiable. Additionally, in the 49.nullpercent of cases in whic h only one homeseeker is told a
credit check is required, agents are null.nullpercentage points more likely to make that request of
the black partner than of the white partner. nullreover, in the null.nullpercent of tests in which only
one tester is told a background check is required, agents are 4nullnullpercentage points more likely
to require the check from the black homeseeker than the white homeseeker.
Though we do not find a statistical difference in most other individual variables pertaining
to comments, questions, and information provided to the testers, blacks report receiving more
positive remarks than comparable whites. At the same time, whites are more likely to receive a
follow-up from the rental agent, and whites rate the agent as being more helpful, on average,
than blacks do.
Hispanic Renters. nullspanic renters in nulluston are null.nullpercentage points less likely than
whites to be told about more units, and are told about .null fewer units overall, on average, than
whites. The nullspanics face generally higher average costs than white homeseekers, including
null4 more in monthly rent, nullnullmore in average payments required at move-in, and nullnull more
in average first year net costs. nullrthermore, when one partner is told about higher net costs
than the other nullhich occurs null percent of the timenull nullspanics are null.nullpercentage points more
likely than their white partners to have higher net costs. nullspanic testers are also over 4null
percentage points more likely to be offered a two year lease than their white counterparts.
Though there are only minimal differences in variables pertaining to information given,
there is significant variation in the percentage of nullspanics and the percentage of whites who
hear certain comments and remarks. Agents are more likely to make comments about nullspanic
testersnull credit standing, tell nullspanics a credit check is required, and tell nullspanics a
background check must be completed than they are to make any of these comments to whites.
At the same time, nullspanics are more likely than whites to report receiving any positive remarks
from the agent, and more likely to report receiving more positive remarks from the agent than
their partner. nullnally, rental agents are more likely to follow-up with white homeseekers than
with nullspanics.
Los Angeles
Black Renters. Testers in nulls Angeles are equally likely to be told any unit was available, but in
null.nullpercent of tests one partner is told about more units than the other. nulln those cases, white
homeseekers are favored by nullnullpercentage points, and on average whites are told about .null
more units overall than comparable blacks. nullmilarly, when both white and black members of a
tester pair are told about available units, they are equally likely to be shown at least one unit, but
whites are shown .null units more than comparable blacks, on average. Additionally, in the null
percent of cases that one tester sees more units than the other, whites are favored over blacks

aPPENDix F
142 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
by 9.4 percentage points. There is no statistical difference in the number of problems seen in
units inspected by the testers, however.
Though there is no statistical difference in average rent and fees that testers are
informed of, we find significant differences in other financial indicators. Whites are more likely
than blacks to be told that rent is negotiable, to be offered a two year lease, and to be told about
financial incentives, while blacks are more likely than whites to be told that payments are
required at move-in. The average security deposit is $null higher for blacks than for comparable
whites, and the average payment required at move in is $nullnullhigher for blacks than for whites,
while the average incentives offered to whites are $null higher than the average incentive offered
to blacks. null a result, the average first year net cost to blacks is $4null gr eater than it is for
comparable whites, and blacks are null percentage point s more likely than their white partners to
be told about higher net costs.
nullthough financial offers generally favor white testers over black testers, agents are
rated as more helpful, on average, by blacks than by whites. nulldditionally, whites are more likely
than blacks to be told a background check is required, and also more likely to receive comments
on their credit standing and rent history. null the same time, in the null.nullnull of instances in which
the agent made arrangements for future contact with one tester and not the other, he or she did
so with the black tester null.nullpercentage points more frequently than with the white tester,
though there is no statistical difference in the actual follow-up rate.
Hispanic Renters. nullgeleno nullspanics are less likely than comparable whites to be told about
more units than their partner, but this does not result in nullspanics learning about a significantly
different number of units. When both testers are told a unit is available, whites are more likely
than nullispanics to inspect more units nullthough nullispanics and whites are equally likely to inspect
any unitsnull and see .null more units overall, on average than comparable nullispanics. nullispanics
also see .null9 more problems per unit, on average, than their white counterparts.
There are only minimal statistical differences in reported enulleriences in other areas.
nullspanics are more likely than whites to be told about higher average first year net costs than
their partners, while whites are more likely than nullspanics to be told that payments required at
move-in and the securitynullsurety bond is negotiable. nullents are more likely to make
arrangements for future contact with nullspanic homeseekers than with whites, though there is no
statistical difference in the actual follow-up rate, and nullspanics rate their rental agent as more
helpful, on average, than whites do.
Miami
Hispanic Renters. There are no significant differences in unit availability and inspections for
white and nullspanic homeseekers in nullami, though whites see .null more problems in inspected
units, on average, than nullspanics, and are also more likely to see more problems than their
nullspanic partner and less likely to see at least one home without any problems.
nullst financial indicators favor neither nullspanic nor white testers, though agents are
more likely to offer whites a two-year lease and tell whites that payments required at move-in

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 143
and security deposits or surety bonds are negotiable. Agents are also more likely to tell
Hispanics than whites that a background check must be completed, and provide Hispanics with
informational materials. At the same time, whites are likely to hear comments on their rent
history and remarks about race or ethnicity than Hispanics, and rental agents are more helpful
to whites, on average, than to Hispanics.
New York
Black Renters. Homeseekers encounter minimal variation in their experiences with the New
York rental market. There is no significant difference in the number of units blacks and whites
either learn about or inspect, nor in the financial variables.
Other indicators do favor blacks or whites, but with no consistent pattern. nullhite
homeseekers are more likely than black homeseekers to be told that a background check must
be done and hear comments on rent history. nullhites also receive fewer total items from the
agents, and are less likely to be offered a monthnullonullonth lease than bl acks. nullack testers
encounter .nullmore problems, on average, than their white counterparts, and are less likely than
whites to be told that payments renullired at movenulln were negotiable.
Hispanic Renters. nullhite testers in New York are more likely to have been told about more
units than their Hispanic partners, though this did not result whites either being told about a
significantly different number of units or inspecting a different number of units, on average.
Aside from two other indicatorsnullagents are more likely to make remarks about racenullethnicity,
and less likely to make arrangements for future contact with Hispanics than with whitesnullthere
are no other significant differences in variables observed in this study.
Philadelphia
Black Renters. nullack and white nulliladelphians are enullally likely to be told at least one unit is
available, but in null.nullpercent of tests one homeseeker is told about more units than the other. nulln
those cases, white homeseekers are favored by null percentage points over black homeseekers,
and on average whites are told about .null more units per visit than comparable blacks nullhe
enullivalent of one fewer unit over three visitsnull nullmilarly, when white and black partners are both
told about available units, they are enullally likely to be shown at least one unit, but whites are
shown .null units overall more than blacks, on aver age. Additionally, in the null.nullpercent of cases
that one tester sees more units than the other, whites are favored by null.nullpercentage points
over blacks. There is no statistical difference in the average number of problems seen in units
inspected by the testers, however.
Average costs faced by white and black homeseekers do not differ significantly for most
types of payments, though on average blacks are informed of nullnull higher payments renullired at
movenulln, and nullnull higher security deposits, than co mparable whites are. nulloreover, the average
net cost nulloted to black testers was nullnull higher, on average, than the net cost nulloted whites,
and blacks are over null percentage points more likely to be a nulloted a higher average net cost
than their partner. Across all categories of costs nullncluding average rent, fees, security deposit,

aPPENDix F
144 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
and move-in costs), whites are more likely than blacks to be told that the quoted amount was
negotiable.
Comments made by agents frequently differ by race, but with no consistent pattern.
Whites are more likely than blacks to be told a background check needed to be done and hear
remarks made about race or ethnicity, while blacks are more likely than whites to hear
comments about their credit standing and rent history. Agents are more likely to arrange for
future contact with black testers than with white testers, but there is no significant difference in
the actual follow-up rate with either partner.
Riverside
Hispanic Renters. When both white and Hispanic members of a tester pair meet with an agent
in person, they are equally likely to be told that at least one unit is available. However, in the null
percent of instances in which one homeseeker is told about at least one more unit than his or
her partner, whites are null.nullpercentage points more likely to learn about more units, and learn
about .null more units, on average, than Hispanics do. However, there is no significant difference
in the average number of units inspected, the likelihood of one tester inspecting more units than
the other, or the number of problems encountered per unit.
nullough the average rent quoted by the agents is appronullmately equal for Hispanics and
whites, other financial indicators vary by race. When one partner is told higher fees for any unit
than the other, which occurs in null.nullpercent of cases, Hispanics are null.nullpercentage points
more likely to be told about higher fees than whites are. Hispanics face fees that are nullnullhigher,
on average, than comparable whites, though they are also nullnullpercentage points more likely to
be told fees are negotiable for any unit. nullmilarly, when only one partner is told payment is
required at move-in, which occurs null.nullpercent of the time, Hispanics are null percentage points
more likely than whites to hear about the required payment, and are told of move-in payments
nullnullnullnull higher, on average, than those told to comparable whites. nullltimately, Hispanic
homeseekers are quoted average first year net costs that are nullnull higher than those quoted
white homeseekers, and when one tester is quoted higher average costs than the other nullhich
occurs more than half of the time), Hispanics are null.nullpercentage points more likely than whites
to be told higher average costs.
nullost comments, questions, and information provided to blacks and whites do not differ
significantly, and overall levels of agent helpfulness to whites and blacks are appronullmately
equal. However, Hispanics are more likely than whites to receive positive remarks from the
agent, and in the null.nullpercent of the time that one partner reports more positive remarks than
the other, Hispanic homeseekers are null.nullper centage points more likely to report more positive
remarks than their white partner. Additionally, agents are less likely to tell white homeseekers
than Hispanic homeseekers that a background check must be completed, and more likely to
make arrangements for future contact with Hispanics than with whites nullhough there was no
statistical difference in the rate at which the agent followed-up with the testers).

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 145
San Diego
Hispanic Renters. Hispanics and whites in San Diego are equally likely to be told any unit is
available, but whites learn about .18 more units per visit than Hispanics. This difference does
not carry over into the average number of units inspected, but Hispanics are more likely to see
more problems than their white counterpart, and less likely to see at least one home with no
problems. Hispanic testers see .1nullmore problems per inspection, on average, than comparable
white testers.
Though the difference in average rent quoted to whites and blacks is not statistically
different from nullro, Hispanic testers are more likely to be offered a tw onullyear lease than white
testers. nullhites are also quoted average fees that are nullnullhigher than those quoted Hispanics,
though Hispanics are told about security deposit requirements that are null1 higher, on average,
than those told to whites. The average first year net costs to Hispanics are nullnull greater than
the average first year net costs to whites.
There is no statistical difference in the types of information given testers, or in most
requirements. However, agents are more likely to comment on the credit standing of Hispanic
homeseekers than white homeseekers, and also more likely to make comments about
Hispanicsnull rent history. nullerall, Hispanics are more likely than whites to report receiving positive
remarks from the agent, and in instances when testers reported different quantities of positive
remarks, Hispanics are null.8 percentage points more likely than whites to report having received
more positive comments. nullnally, agents are more likely to follow up with Hispanic homeseekers
than with white homeseekers.
Washington, DC
Black Renters. null the nullashington, Dnull nullSnull whites and blacks are equally likely to be told that
a unit is available, and in the null percent of cases in which one tester is told about more units
than the other, there is no statistical difference in whether the white tester or black tester was
favored. nuller all tests, however, whites learn about .null units more than blacks. nullhen both
testers are told about a unit, one tester ends up inspecting more units than the other null percent
of the time, but neither blacks nor whites are favored. Though there is no statistical difference in
the number of problems seen when both testers inspected a unit, blacks are nullnullpercentage
points more likely to see at least one home without problems.
nullost comments, questions, and information provided to blacks and whites are not
significantly different, though when one tester is provided more total items nullhich occurs in null
percent of casesnull blacks are almost 1nullpercentage points more likely to be favored. nullthough
the average rent does not statistically differ for whites and blacks, the average payment due at
movenulln is nullnull less for whites than for blacks. nullrthermore, when only one tester is told about
incentives, whites are 1nullnullpercentage points more likely to be favored, and on average receive
null1null8 more in incentives than blacks. null a result, the average first year net cost is nullnull less for
white renters than for black renters. nullrthermore, in the null percent of cases in which one

aPPENDix F
146 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
homeseeker faces a higher net cost than the other, whites are favored over blacks by 20.2
percentage points.

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 147
Atlanta: Black Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
98.5%
White
0.0%
Black
0.0%
Difference
0.0%
P
1.000
N
137
If able to meet with an agent:
Tester(s) told any units available
nulle tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)

93.0%

6.2%
null5.0%
2.12

0.8%
17.1%
1.66

5.null
27.9%nullnull
0.nullnullnull

1.000
0.000
0.000

129
129
129
If available units recommended:
Tester(s) able to inspenullt any units
nulle tester inspenulled more units tnulln par tner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renullired nullor any unit
nulle tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at movenull n
nulleranull payments at movenullin
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstory
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull t
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
87.5%

3.3%
1.7%
null 2%
92.5%

3.3%
78.3%
10.8%
32.5%
100.0%
0.8%
26.7%
0.0%
96.7%
6null2%
35.8%
1.7%
5.8%
0.0%
91.7%
8null2%
27.5%
0.0%
6.7%
8.3%
18.3%
1.21
null29
8.3%
0.0%
9.2%
null2%
31.9%
nullnull
9.2%
15.0%
null36
20.8%
15.8%
null75
0.0%
0.0%
25.8%
null17
28.2%
null1null69
1.7%
1.7%
15.8%
15.0%
0.8%
2.5%
0.0%
0.8%
3null2%
8.3%
25.8%
3null2%
2.5%
2.5%
17.6%
1.63
0.8%
10.8%
1.11
null23
7.5%
5.0%
3.3%
1.7%
18.1%
null33
1null2%
5.8%
null73
15.0%
1null2%
null02
0.0%
3.3%
15.0%
null05
20.5%
null1null76
2.5%
0.8%
16.7%
22.5%
7.5%
1null.2%
0.0%
null.2%
null.8%
5.8%
16.7%
29.2%
3.3%
3.3%
8.null
1.68
7.5%null
7.5%
0.10
null
0.8%
null5.0%nullnull
5.8%
2.5%
13.8%null
null
null.0%
9.2%null
null3
5.8%
1.7%
null28
0.0%
null.3%
10.8%null
null2
7.7%
null2
null0.8%
0.8%
null.8%
null.5%
null6.7%nullnull
null11.7%nullnullnull
0.0%
null3.3%
null.7%
2.5%
9.2%
5.0%
null.8%
null.8%
9.2%null
null.0null
0.012
0.175
0.109
0.301
1.000
0.031
0.118
0.null3
0.027
0.3null
0.3null
0.0null
0.120
0.360
0.868
0.null6
1.000
0.125
0.085
0.35null
0.null8
0.nullnull
1.000
1.000
1.000
0.233
0.021
0.003
1.000
0.219
0.null1
0.629
0.161
0.567
1.000
1.000
0.050
0.651
120
120
120
120
120
120
120
120
116
116
120
120
119
120
120
116
120
120
120
79
78
78
120
120
120
120
120
120
120
120
120
120
120
120
120
120
119
120
If units shown:
Tester(s) sanullat least one unit nulltnullut any pr oblems
nulle tester sanullmore problems per unit tnulln partner
nulleranull number onullproblems per unit
79.0% 1.0%
21.9%
0.29
16.2%
2.9%
0.06
null15.2%nullnullnull
19%nullnull
0.23nullnull
0.000
0.000
0.000
105
105
105

aPPENDix F
148 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Chicago: Black Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
86.0%
White
0.7%
Black
0.0%
Difference
0.7%
P
1.000
N
143
If able to meet with an agent:
Tester(s) told any units available
nulle tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
95.3% null8%
null.3%
1.64
1.9%
14.0%
1.50
0.9%
10.3%
0.14
1.000
0.117
0.null8
107
107
107
If available units recommended:
Tester(s) able to inspenull any units
nulle tester inspenulled more units tnulln partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nulles renulluired nullr any uni t
nulle tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at movenull n
nulleranull payments at movenulln
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstor y
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enulletnull
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull t
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
94.null
5.0%
1.0%
1.0%
64.1%
null 9%
39.8%
0.0%
9.7%
98.1%
0.0%
null9%
0.0%
79.6%
60.null
null.4%
null9%
1.0%
0.0%
57.3%

67.0%
31.1%
1.9%
5.0%
1.9%
null1.4%
1.34
nullnull88
6.9%
1.0%
4.0%
4.9%
17.null
null6
5.8%
4.9%
null35
9.7%
11.7%
null5
0.0%
0.0%
9.7%
nullnull05
10.5%
null5null6null
1.0%
5.8%
11.7%
15.5%
6.8%
1null6%
1.0%
10.7%
null.3%
1null6%
16.5%
null.7%
null9%
3.0%
17.0%
1.35
1.9%
14.6%
1.null
nullnull91
10.9%
null0%
5.0%
16.5%
3null3%
null6
6.8%
19.4%
null34
5.8%
7.8%
null8
0.0%
0.0%
6.8%
nullnull48
35.1%
null6null13
0.0%
10.7%
null.3%
null.null
8.7%
6.8%
1.9%
1null6%
34.0%
null.4%
18.4%
33.7%
1.9%
null0%
8.0%
1.51
0.0%
6.8%
0.08
null3
null.0%
null.0%
null.0%
null11.7%null
null5.nullnull
null10
null.0%
null14.6%nullnull
nullnull0nullnull
3.9%
3.9%
null
0.0%
0.0%
null9%
null43
null4.6%nullnull
null351null
1.0%
null.9%
null0.7%null
null.7%
null.9%
5.8%
null1.0%
null.9%
null1.7%
null.8%
null.9%
null.9%
1.0%
1.0%
9.0%null
null.17
1.000
0.3null4
0.368
0.808
0.481
1.000
1.000
0.064
0.044
0.494
1.000
0.019
0.00null
0.454
0.383
0.774
0.500
1.000
0.6null
0.null1
0.009
0.065
1.000
0.33null
0.090
0.164
0.804
0.null3
1.000
0.839
0.148
0.null9
1.000
0.443
1.000
1.000
0.076
0.13null
103
103
103
101
101
101
101
103
99
99
103
103
97
103
103
90
103
103
103
63
57
57
103
103
103
103
103
103
103
103
103
103
103
101
103
101
100
103
If units shown:
Tester(s) sanullat least one unit nulltnullut any pr oblems
nulle tester sanullmore problems per unit tnulln partner
nulleranull number onullproblems per unit
79.4% 13.4%
6.3%
0.10
4.1%
null.1%
0.null
9.3%null
null4.7%nullnull
null.13null
0.019
0.009
0.056
97
95
95

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 149
Chicago: Hispanic Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
72.3%
White
0.6%
Hispanic
0.0%
Difference
0.6%
P
1.000
N
173
If able to meet with an agent:
Tester(s) told any units available
One tester told about more units than partner
nullnullnumber onullunits available (per visit)
99.0% 1.0%
20.0%
1.90
0.0%
22.0%
1.76
1.0%
null.0%
0.1null
1.000
0.nullnull
0.2null
100
100
100
If available units recommended:
Tester(s) able to inspenull any units
One tester inspenulled more units than partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told that rent is nenulltiabl e
Tester(s) onullered monthnullonullonth
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renulluired nullor any unit
One tester told hinuller nulles than partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at movenull n
nulleranull payments at movenulln
Tester(s) told payments nenulltiable
Tester(s) told about innullentives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenulltiable
nulleranull senull deposit nullr any unit
Tester(s) told hinuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir housinnull
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmple ted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent history
Tester(s) told remarks about ranullnullthninullty
Tester(s) provided listinnullnullnulloor plannullbronullurenull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall helpnulllness snullre
9nullnull

3.1%
0.0%
1.0%
72.2%

2.1%
22.7%
2.1%
null.2%
100.0%
2.1%
0.0%
1.0%
null.6%
6null0%
1null6%
1.0%
3.1%
0.0%
null0.null%

null2.6%
19.6%
0.0%
null2%
null1%
21.6%
1.null
nullnull7null
null2%
2.0%
null1%
1nullnull
2nullnull
null1null
7.2%
1nullnull
null6null
2.1%
9.3%
null07
0.0%
1.0%
null2%
nullnull00
11.null
null6null1null
0.0%
null1%
9.3%
19.6%
null.1%
9.3%
1.0%
12.null%
27.null
27.null%
16.null
2nullnull
6.2%
6.2%
1null6%
1.31
0.0%
12.null
1.null
nullnull7null
6.1%
0.0%
null1%
6.2%
21.6%
null30
null2%
17.null
null96
null2%
6.2%
nullnull
0.0%
1.0%
null2%
nullnull19
17.6%
null6nullnull
0.0%
6.2%
17.null
1nullnull
1null %
1null6%
null.2%
1null.6%
null.2%
9.3%
1nullnull
19.6%
1.0%
1.0%
13.null
1.22
null1%
9.3%
0.12
null
2.0%
2.0%
0.0%
null2%
null1%
null12
2.1%
null.1%
null131null
null.1%
3.1%
null1null
0.0%
0.0%
0.0%
null19
null.9%
null1null
0.0%
null.1%
null.2%
null2%
null11.3%nullnull
null.3%
nullnull.1%
null6.2%
null12.null
1null.6%null
2.1%
6.2%
null2%
null2%
2.1%
0.09
0.12null
0.163
0.227
0.976
0.791
0.null0
1.000
0.11null
0.6null
0.70null
0.77null
0.720
0.016
0.null3
0.607
0.327
1.000
1.000
1.000
0.632
0.607
0.null1
1.000
0.7null
0.169
0.null7
0.019
0.122
0.219
0.362
0.17null
0.00null
0.null6
0.null1
0.12null
0.12null
0.null1
0.3null
97
97
97
9null
9null
9null
9null
97
97
97
97
97
93
97
97
91
97
97
97
null
null
null
97
97
97
97
97
97
97
97
97
97
97
97
97
97
96
97
If units shown:
Tester(s) sanullat least one unit nullthout any pr oblems
One tester sanullmore problems per unit t han partner
nulleranull number onullproblems per unit
null.3% null3%
7.null%
0.11
null3%
10.null%
0.13
0.0%
null3.2%
null.02
1.000
0.629
0.6null
9null
93
93

aPPENDix F
150 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Dallas: Hispanic Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
100.0%
White
0.0%
Hispanic
0.0%
Difference
0.0%
P
1.000
N
135
If able to meet with an agent:
Tester(s) told any units available
One tester told about more units than partner
nullnullnumber onullunits available (per visit)
93.8% 3.8%
3null.null%
1.null
2.3%
18.5%
1.53
1.5%
19.2%nullnullnull
0.23null
1.000
0.005
0.011
130
130
130
If available units recommended:
Tester(s) able to inspenull any units
One tester inspenulled more units than partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told that rent is nenulltiabl e
Tester(s) onullered monthnullonullonth
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renullired nullor any unit
One tester told hinuller nulles than partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at move nullin
nullveranulle payments at movenullin
Tester(s) told payments nenulltiable
Tester(s) told about innullentives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told hinuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir housinnull
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent history
Tester(s) told remarks about ranullnullthninull ity
Tester(s) provided listinnullnullnulloor plannullbronullurenull etnull
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall helpnulllness snullre
8null9%

0.8%
0.0%
0.8%
88.5%

1.null
2null.0%
0.0%
32.0%
100.0%
2.5%
9.0%
0.0%
92.null
5null9%
29.5%
0.0%
nullnull
0.0%
9null3%

null9.null%
null.3%
0.8%
11.5%
0.0%
19.null%
1.25
nullnull
null.9%
5.null
2.5%
null1%
1null9%
null23
1.null
23.0%
null3null2
3.3%
19.null
null5null
0.0%
null1%
null.9%
nullnull
29.8%
null1nullnull
1.null
null1%
18.0%
18.0%
nullnull
3null1%
0.0%
null9%
null.null
23.0%
20.5%
null.0%
1.null
1.null
9.0%
1.null
null1%
1null.8%
1.1null
nullnull
5.null%
10.null
9.8%
null1%
28.9%
null3null
nullnull
13.9%
null2null2
3.3%
11.5%
null9null
0.0%
0.8%
13.9%
nullnull
21.null
null0null53
0.0%
3.3%
25.null
31.1%
2.5%
10.null
0.0%
0.0%
18.9%
null.null%
nullnull
13.9%
2.5%
2.5%
12.3%
1.29
null.1%null
null.9%
0.08
null
null0.8%
null.9%
nullnull.null%null
0.0%
nullnull0%null
null11
null.nullnull
9.0%
nullnull9
0.0%
8.2%
null1
0.0%
3.3%
null9.0%nullnull
null
8.3%
null9
1.null
0.8%
null.null
null13.1%null
null9%
25.nullnullnull
0.0%
null9%null
29.5%nullnull
1null.null%null
13.9%nullnull
2null0%nullnull
null.8%
null.8%
null.3%
0.18null
0.0null
0.nullnull1
0.205
0.585
1.000
0.2null
0.035
1.000
0.0null
0.119
0.0null
0.135
0.105
1.000
0.1null
0.19null
1.000
0.219
0.035
0.8null
0.3null
0.null8
0.500
1.000
0.2null
0.052
0.1null
0.000
1.000
0.031
0.000
0.001
0.005
0.000
1.000
1.000
0.55null
0.03null
122
122
122
122
122
122
122
122
121
121
122
122
120
122
122
119
122
122
122
83
8null
8null
122
122
122
122
122
122
122
122
122
122
122
122
122
122
122
122
If units shown:
Tester(s) sanullat least one unit nullthout any pr oblems
One tester sanullmore problems per unit than partner
nulleranull number onullproblems per unit
89.null%

0.9%
12.3%
0.20
null.5%
nullnull
0.09
nullnull.null%null
null5%null
0.11null
0.039
0.09null
0.01null
10null
10null
10null

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 151
Detroit: Black Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
99.3%
White
0.0%
Black
0.0%
Difference
0.0%
P
1.000
N
138
If able to meet with an agent:
Tester(s) told any units available
One tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
83.1% 12.1%
3null.3%
1.77
4.8%
21.8%
1.null
7.3%
14.null%nullnull
0.23null
1.000
0.044
0.072
124
124
124
If available units recommended:
Tester(s) able to inspenull any units
One tester inspenulled more units tnulln partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renullired nullor any unit
One tester told nullnuller nulles tnulln par tner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at move nullin
nullveranulle payments at movenullin
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmp leted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstory
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enulletnull
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull t
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
80.8%

1.0%
1.9%
1.0%
7null0%

null8%
null2.9%
null8%
2null0%
100.0%
0.0%
13.null
0.0%
8nullnull
null4.8%
18.3%
1.0%
3.8%
0.0%
83.7%

7null9%
30.8%
0.0%
1.9%
null8%
13.null%
1.03
nullnull
12.4%
2.9%
7.null
8.7%
28.0%
null1
18.3%
13.null%
null428
10.null
19.2%
nullnull
0.0%
1.0%
2null0%
null38
22.4%
nullnull41
2.9%
9.null
18.3%
9.null
2.9%
8.7%
1.9%
8.7%
3null.null%
12.null
2null0%
30.8%
1.9%
1.9%
17.3%
1.null
null7%
1null.4%
1.0null
nullnull
7.null
2.9%
1.9%
10.null
31.0%
null03
11.null
22.1%
null4nullnull
19.2%
11.null
nullnull
0.0%
0.0%
20.2%
null32
43.4%
nullnull98
4.8%
4.8%
20.2%
18.3%
1.9%
4.8%
1.0%
null7%
30.8%
9.null
18.3%
30.8%
1.9%
1.9%
4.8%
1.null
null.0%
null1.9%
null.02
null
4.8%
0.0%
null7%
null.9%
null3.0%
nullnullnullnull
null7%
null8.7%
nullnull27
null.7%
7.7%
null101
0.0%
1.0%
null8%
null94nullnull
null1.1%null
null2nullnull
null1.9%
4.8%
null1.9%
null.7%
1.0%
3.8%
1.0%
1.9%
null.8%
2.9%
null7%
0.0%
0.0%
0.0%
12.nullnull
0.00
1.000
0.8nullnull
0.81null
0.91null
0.383
1.000
0.109
0.824
0.79null
0.009
0.281
0.188
0.null2null
0.1null
0.21null
0.42null
1.000
1.000
0.471
0.000
0.033
0.02null
0.727
0.302
0.87null
0.13null
1.000
0.424
1.000
0.804
0.nullnull0
0.null8
0.371
1.000
1.000
1.000
0.011
1.000
104
104
104
10null
10null
10null
10null
104
100
100
104
104
98
104
104
92
104
104
104
92
7null
7null
104
104
104
104
104
104
104
104
104
104
104
104
104
104
104
104
If units shown:
Tester(s) sanullat least one unit nulltnullut any problems
One tester sanullmore problems per unit t nullan partner
nulleranull number onullproblems per unit
89.3% null0%
null.0%
0.08
2.4%
9.null%
0.14
3.null
null3.null%
null.0null
0.4null
0.null81
0.271
84
84
84

aPPENDix F
152 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Houston: Black Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
97.1%
White
0.7%
Black
0.0%
Difference
0.7%
P
1.000
N
138
If able to meet with an agent:
Tester(s) told any units available
One tester told about more units than partner
nullnullnumber onullunits available (per visit)
89.9% 7.0%
32.null%
1.72
3.1%
1null.null%
1.null
3.9%
17.1%nullnullnull
0.2nullnull
1.000
0.007
0.01null
129
129
129
If available units recommended:
Tester(s) able to inspenull any units
One tester inspenulled more units than partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told that rent is nenulltiabl e
Tester(s) onullered monthnullonullonth
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renullired nullor any unit
One tester told hinuller nulles than par tner
nulleranull nulles nullr any unit
Tester(s) told nulles nenullotiable
Tester(s) told payment renullired at move nullin
nullveranulle payments at movenullin
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told hinuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir housin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent history
Tester(s) told remarks about ranullnullthninullty
Tester(s) provided listinnullnullnulloor plannullbronullur enull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull t
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall helpnulllness snullre
7null7%

0.0%
1.7%
0.9%
92.2%

1.7%
97.null%
0.0%
23.3%
100.0%
0.9%
null.0%
0.0%
93.1%
37.9%
23.3%
0.0%
1nullnull
0.0%
91.null%
7null1%
23.3%
0.0%
0.9%
11.2%
20.7%
1.08
nullnull
null2%
2.null
null3%
0.9%
2null.7%
null07
8.null
0.0%
null833
2.null
11.2%
nullnull
0.0%
2.null
18.1%
nullnull
9.null
null1null08
0.0%
2.null
null0%
7.8%
1.7%
2null7%
1.7%
1.7%
28.null
10.3%
1null.null%
18.1%
3.null
3.null
9.null
1.null
null9%
12.1%
0.9null
nullnull
2.null
8.null
18.1%
1.7%
18.1%
null9
1.7%
0.9%
null830
0.9%
8.null
null37
0.0%
1.7%
null.3%
nullnull
19.0%
null1null28
0.9%
null3%
null.1%
null0.0%
null9%
2null7%
0.9%
null.3%
null.7%
10.3%
31.9%
null.8%
null3%
null3%
0.0%
1.null
null3%
8.null%
0.12null
null8
2.null
null.0%null
null3.8%nullnull
null.9%
8.null%
null
null9%null
null0.9%
nullnull
1.7%
2.null
null0
0.0%
0.9%
13.8%nullnullnull
null20
null.null
null119
null0.9%
null.7%
null7.1%nullnull
nullnull2.2%nullnullnull
null.2%
0.0%
0.9%
null2.null%
null7.2%null
0.0%
null1null.null%nullnull
nullnull7%nullnull
null.9%
null.9%
9.nullnullnull
0.1null
0.383
0.1null3
0.0null
0.209
0.null8
0.092
0.002
1.000
0.1null9
0.2null
0.039
1.000
0.8nullnull
0.nullnull
0.null8
0.277
1.000
1.000
0.002
0.null9
0.1null
0.13null
1.000
0.727
0.000
0.000
0.109
1.000
1.000
0.nullnull3
0.0null
1.000
0.022
0.000
1.000
1.000
0.001
0.091
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
80
8null
8null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
11null
If units shown:
Tester(s) sanullat least one unit nullthout any problems
One tester sanullmore problems per unit than partner
nulleranull number onullproblems per unit
8null3%

12.null
nullnull
0.0null
3.null
20.2%
0.27
9%null
nullnull7%nullnull
null.21nullnull
0.0null
0.00null
0.008
89
89
89

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 153
Houston: Hispanic Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
97.1%
White
0.7%
Hispanic
0.7%
Difference
0.0%
P
1.000
N
138
If able to meet with an agent:
Tester(s) told any units available
nulle tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
97.7% 0.8%
32.6%
1.83
1.6%
1null.0%
1.null
-0.8%
18.6%nullnullnull
0.33nullnull
1.000
0.003
0.001
129
129
129
If available units recommended:
Tester(s) able to inspenull any units
nulle tester inspenulled more units tnulln partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnull-to-montnull
Tester(s) onullered tnull-year lease
Tester(s) told nulles renulluired nullr any uni t
nulle tester told nullnuller nulles tnulln par tner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at move-i n
nulleranull payments at move-in
Tester(s) told payments nenulltiable
Tester(s) told about innullentives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenulltiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net null st
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusinnull
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmplete d
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstor y
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullurenull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
77.8%
1.6%
1.6%
7.1%
93.7%
0.0%
97.6%
0.0%
1null.9%
100.0%
2.null
null8%
0.0%
9nullnull
31.7%
11.9%
0.0%
7.9%
0.0%
89.7%
77.0%
26.2%
0.0%
3.2%
null6%
19.0%
1.09
null31
null8%
null6%
3.2%
0.8%
21.null%
null02
0.8%
0.0%
null01
1.6%
13.null
null36
0.0%
0.8%
10.3%
null87
11.3%
null1nullnull
0.0%
null8%
11.9%
18.3%
null.8%
16.7%
0.0%
7.1%
3null7%
7.9%
19.8%
27.8%
1.6%
1.6%
12.7%
1.null
11.9%
19.8%
1.12
nullnull
3.2%
null0%
null.null
2.null
18.3%
null9
1.6%
0.8%
null32
3.2%
7.9%
null03
0.0%
1.6%
7.1%
null6null
27.8%
null1null67
0.8%
0.8%
36.null
39.7%
19.0%
23.0%
2.null%
2.null%
3null9%
11.9%
3null.9%
null.8%
2.null
2.null
1.6%
1.39
-6.3%
-0.8%
-0.03
-nullnullnull
1.6%
1.6%
-null.2%nullnull
-1.6%
3.2%
null
-0.8%
-0.8%
-null2nullnull
-1.6%
null6%
null3
0.0%
-0.8%
3.2%
null3
-16.nullnull
-null21nullnull
-0.8%
null0%
-2null6%nullnull
-21.null%nullnullnull
-1null.3%nullnullnull
-6.3%
-2.null%
null.8%
0.8%
-null0%
-1null.1%nullnull
-19.0%null
-0.8%
-0.8%
11.1%nullnullnull
0.07
0.13null
1.000
0.639
0.00null
0.7null
0.77null
0.000
0.62null
0.672
0.null9
1.000
1.000
0.001
0.688
0.2null
0.108
1.000
1.000
0.null3
0.223
0.01null
0.007
1.000
0.12null
0.000
0.002
0.001
0.322
0.2null0
0.1null6
1.000
0.nullnull
0.029
0.017
1.000
1.000
0.001
0.null7
126
126
126
126
126
126
126
126
126
126
126
126
126
126
126
126
126
126
126
9null
97
97
126
126
126
126
126
126
126
126
126
126
126
126
126
126
126
126
If units shown:
Tester(s) sanullat least one unit nulltnullut any problems
nulle tester sanullmore problems per unit tnulln partner
nulleranull number onullproblems per unit
90.8% null1%
7.1%
0.1null
3.1%
8.2%
0.12
1.0%
-1.0%
0.02
1.000
1.000
0.786
98
98
98

aPPENDix F
154 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Los Angeles: Black Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
100.0%
White
0.0%
Black
0.0%
Difference
0.0%
P
1.000
N
160
If able to meet with an agent:
Tester(s) told any units available
One tester told about more units than partner
nullnullnumber onullunits available (per visit)
99.4% 0.0%
16.9%
1.null
0.6%
9.4%
1.44
-0.6%
7.null%null
0.1nullnull
1.000
0.0nullnull
0.0null
160
160
160
If available units recommended:
Tester(s) able to inspenull any units
One tester inspenulled more units than partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told that rent is nenulltiable
Tester(s) onullered month-to-month
Tester(s) onullered tnull-year lease
Tester(s) told nulles renulluired nullr any uni t
One tester told hinuller nulles than par tner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at move-in
nulleranull payments at move-in
Tester(s) told payments nenulltiable
Tester(s) told about innullentives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit null bond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told hinuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir housinnull
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmple ted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent history
Tester(s) told remarks about ranullnullthninullty
Tester(s) provided listinnullnullnulloor plannullbronullurenull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall helpnulllness snullre
100.0%
1.9%
6.9%
nullnull
null.0%
null 1%
nullnull.9%
0.0%
1null.null%
100.0%
0.0%
4.4%
0.0%
9null7%
96.null%
null1%
4.4%
0.6%
0.0%
44.0%
64.null%
null0.null
0.0%
4.4%
0.0%
1null7%
1.4null
nullnull0null
10.1%
nullnull
6.null%
4.4%
17.7%
nullnull
nullnull
6.9%
nullnull
4.4%
1null.7%
nullnull
0.0%
0.0%
1nullnull
nullnullnull
10.4%
nullnull411
1.null
0.6%
1.9%
1nullnull
nullnull
10.1%
0.0%
16.4%
null.0%
null.0%
1null9%
null.9%
null1%
null1%
7.null
1.4null
0.0%
6.null
1.null
nullnull1null
nullnull
4.4%
1.null%
nullnull
1null.null%
null7
nullnull
nullnull6%
null17
null0%
4.4%
null01
0.0%
0.6%
7.null
nullnull7null
null.4%
nullnullnullnull
0.6%
0.6%
0.6%
nullnull
nullnull
1.null%
0.6%
1null.null%
null.4%
nullnull.null%
17.6%
null.null
1.null
1.null
null1%
1.null
0.0%
9.4%null
0.09null
-null0
7.nullnull
4.4%
null.0%nullnull
1.9%
4.4%
null1
null0%
-1null.7%nullnullnull
-null67nullnull
-0.6%
11.null%null
null9nullnull
0.0%
-0.6%
null7%
-null9null
-16.0%nullnull
-null06nullnull
0.6%
0.0%
1.null%
10.7%nullnull
6.nullnull
null.null%nullnull
-0.6%
null.null%
null7%
-null0.1%nullnullnull
1.null
-0.6%
1.9%
1.9%
4.4%
-0.1null
1.000
0.017
0.0null
0.null1
0.01null
0.1null
0.0null9
0.null9
0.null9null
0.6null
0.11null
0.000
0.000
1.000
0.00null
0.001
1.000
1.000
0.16null
0.064
0.00null
0.000
1.000
1.000
0.6nullnull
0.001
0.0null
0.001
1.000
0.66null
0.nullnull
0.000
0.null6
1.000
0.4null
0.4null
0.14null
0.060
1null
1null
1null
1null
1null
1null
1null9
1null
1nullnull
1null
1null
1null9
1null
1null
1null9
1null
1null
1null
1null
1null
144
144
1null
1null
1null9
1null
1null
1null9
1null9
1null9
1null
1null
1null
1null
1null
1null
1null
1null
If units shown:
Tester(s) sanullat least one unit nullthout any pr oblems
One tester sanullmore problems per unit t han partner
nulleranull number onullproblems per unit
null.6% 7.null
6.9%
0.1null
null7%
null.null%
0.14
1.9%
-1.9%
0.0null
0.664
0.690
0.7null
1null
1null9
1null

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 155
Los Angeles: Hispanic Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
94.4%
White
0.0%
Hispanic
0.0%
Difference
0.0%
P
1.000
N
143
If able to meet with an agent:
Tester(s) told any units available
One tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
98.5% 0.7%
null0.1%
1.null
0.7%
9.7%
1.59
0.0%
10.4%null
0.0null
1.000
0.038
0.471
134
134
134
If available units recommended:
Tester(s) able to inspenull any units
One tester inspenulled more units tnulln partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renullired nullor any unit
One tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at move nullin
nulleranull payments at movenulln
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusinnull
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstory
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
99.null
null1%
1null1%
0.8%
84.1%
null 3%
7.null%
0.0%
null.5%
100.0%
0.0%
4.5%
0.8%
98.5%
97.0%
1.5%
null3%
1.5%
0.8%
58.3%
58.3%
null.5%
0.0%
13.null
0.8%
19.7%
1.51
nullnull03
5.3%
3.0%
null3%
3.0%
13.null%
null4
1.5%
9.8%
null8
null1%
null1%
null08
0.0%
0.0%
14.4%
null04
4.5%
null7null01
0.8%
0.0%
0.0%
null.8%
5.3%
5.3%
0.8%
3.8%
null.7%
9.1%
15.9%
null.0%
1.5%
1.5%
10.null
1.41
0.0%
9.8%
1.38
nullnull08
3.0%
null3%
1.5%
3.8%
14.4%
nullnull
1.5%
null.1%
nullnull
0.8%
4.5%
null04
0.0%
0.0%
0.8%
nullnull
11.4%
null7null8null
0.0%
1.5%
3.0%
3.0%
1.5%
3.0%
1.5%
null.8%
null.5%
nullnull.7%
18.null
null.3%
null3%
null3%
4.5%
1.null
0.8%
9.8%null
0.13null
nullnull
null3%
0.8%
0.8%
null.8%
null0.8%
null
0.0%
3.8%
null53null
5.3%null
1.5%
null
0.0%
0.0%
13.null%null
null5
null.8%null
null85
0.8%
null.5%
null.0%
null.7%nullnull
3.8%
null3%
null0.8%
null3.0%
null3%
null13.null%nullnullnull
null.3%
null.3%
null.8%
null.8%
null1%
null.nullnull
1.000
0.053
0.04null
0.493
0.549
1.000
1.000
1.000
1.000
0.null3
1.000
0.383
0.041
0.039
0.791
0.8null
1.000
1.000
0.000
0.15null
0.078
0.4null
1.000
0.500
0.1null
0.000
0.180
0.549
1.000
0.4null
0.791
0.008
0.7null
0.457
1.000
1.000
0.115
0.03null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
131
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
13null
If units shown:
Tester(s) sanullat least one unit nulltnullut any problems
One tester sanullmore problems per unit tnulln partner
nulleranull number onullproblems per unit
85.5% null9%
4.null
0.13
null3%
9.null
0.null
4.null
null.null
null.09null
0.14null
0.null8
0.0null
131
131
131

aPPENDix F
156 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Miami: Hispanic Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
96.4%
White
0.7%
Hispanic
2.2%
Difference
-1.4%
P
0.625
N
139
If able to meet with an agent:
Tester(s) told any units anullilable
nulle tester told about more units tnulln partner
nullnullnumber onullunits anullilable (per nullsit)
90.2% 6.1%
25.null
1.37
3.null
1null2%
1.27
2.3%
7.6%
0.11
0.625
0.237
0.231
132
132
132
If available units recommended:
Tester(s) able to inspenull any units
nulle tester inspenulled more units t nullan partner
nulleranull number onullunits inspenulled (per nullsit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnullto-montnull
Tester(s) onullered tnull-year lease
Tester(s) told nullees renullired nullor any unit
nulle tester told nullnuller nulles tnulln par tner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at monull -in
nullnulleranulle payments at monull-in
Tester(s) told payments nenulltiable
Tester(s) told about innullentinulles
nulleranull yearly innullntinulls
Tester(s) told senullrity deposit renullire d
Tester(s) nullnulln nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusinnull
Tester(s) told applinulltion must be nullmple ted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstory
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) pronullded listinnullnullnulloor plannullbronullurenull etnull
Tester(s) pronullded more total items
Tester(s) told arrannullment nullr nullntanull t
Tester(s) told positinull remark
Tester(s) told more positinull remarks
Tester(s) told nenulltinull remark
Tester(s) told more nenulltinull remarks
Tester(s) renullinulld anullnt nullllonullup
nulleranull onullrall nulllpnulllness snullre
94.2%
7.5%
0.null
0.0%
75.0%
0.null
55.0%
3.3%
1.7%
100.0%
0.0%
5.0%
0.0%
null4.2%
67.5%
59.2%
5.0%
3.3%
0.0%
65.null
null.3%
35.null
0.0%
5.null
2.5%
1null.3%
1.31
nullnull7null
11.7%
4.2%
9.2%
5.0%
29.1%
null51
5.0%
10.0%
nullnull97
10.null
null3%
null05
0.0%
0.0%
15.null
nullnull57
20.2%
nullnull9null
0.null
4.2%
6.7%
7.5%
17.5%
25.0%
5.null
4.2%
19.2%
7.5%
17.5%
31.7%
4.2%
4.2%
10.0%
1.45
3.3%
11.7%
1.20
nullnull63
6.7%
0.null
0.0%
null3%
26.5%
null63
4.2%
12.5%
null9null9
2.5%
4.2%
null5
0.0%
0.0%
5.0%
nullnull92
19.3%
nullnullnull2
0.0%
10.0%
10.null
23.3%
15.0%
7.5%
0.0%
12.5%
30.0%
5.null
23.3%
3null3%
1.7%
1.7%
10.0%
1.23
-0.null
6.7%
0.11
null5
5.0%
3.3%
9.2%nullnull
-3.3%
2.6%
-null2
0.null
-2.5%
-null92
null3%null
4.2%
null0
0.0%
0.0%
10.nullnull
null5
0.9%
null09
0.null
-5.null%
-4.2%
-15.null%nullnullnull
2.5%
17.5%nullnull
5.nullnull
-null3%null
-10.null
1.7%
-5.null
-6.7%
2.5%
2.5%
0.0%
0.22nullnull
1.000
0.243
0.113
0.149
0.2null
0.219
0.001
0.454
0.712
0.5null
1.000
0.701
0.165
0.021
0.302
0.1null
1.000
1.000
0.015
0.113
1.000
0.471
1.000
0.143
0.3null
0.003
0.749
0.001
0.016
0.041
0.117
0.null4
0.392
0.445
0.453
0.453
1.000
0.00null

120
120
120
120
120
120
120
120
117
117
120
120
120
120
120
11null
120
120
120
113
109
109
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
120
If units shown:
Tester(s) sanullat least one unit nulltnullut any pr oblems
nulle tester sanullmore problems per unit tnulln partner
nulleranull number onullproblems per unit
7null.null% 4.4%
17.7%
0.30
14.2%
nullnull
0.15
-9.7%nullnull
nullnullnull
0.14null
0.027
0.099
0.063
113
113
113

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 157
New York: Black Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
95.9%
White
0.0%
Black
0.0%
Difference
0.0%
P
1.000
N
146
If able to meet with an agent:
Tester(s) told any units available
nulle tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
97.0% 1.5%
22.0%
1.77
1.5%
15.9%
1.65
0.0%
6.1%
0.12
1.000
0.322
0.252
132
132
132
If available units recommended:
Tester(s) able to inspenull any units
nulle tester inspenulled more units t nullan partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renulluired nullor any unit
nulle tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at move nullin
nullveranulle payments at movenullin
Tester(s) told payments nenulltiable
Tester(s) told about innullentives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstory
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull t
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullnullup
nulleranull overall nulllpnulllness snullre
96.9%
null.6%
0.0%
1null 0%
66.4%
0.null
72.7%
6.3%
7.0%
100.0%
0.0%
0.null
0.0%
67.2%
61.7%
4.7%
null6%
0.0%
0.null%
52.3%
71.9%
11.7%
0.null
3.1%
0.0%
1null.0%
1.73
nullnullnull
12.5%
2.3%
19.5%
9.4%
25.null
null54
10.9%
12.5%
null3null353
14.1%
3.9%
null56
0.0%
0.0%
null6%
nullnullnull
23.1%
null5null31
2.3%
15.6%
13.3%
11.7%
null6%
15.6%
4.7%
null.6%
14.null
10.2%
27.3%
31.3%
4.7%
5.5%
3.9%
1.37
1.6%
15.6%
1.60
nullnull06
13.3%
9.4%
16.4%
10.2%
36.3%
null2null
9.4%
7.null%
null3null094
4.7%
3.9%
null64
0.0%
0.null
6.3%
nullnull22
20.4%
null4null70
5.5%
10.9%
12.5%
4.7%
15.6%
4.7%
1.6%
16.4%
32.null
9.4%
21.9%
25.0%
4.7%
4.7%
10.2%
1.42
null.6%
2.3%
0.13
null17
null0.null%
null7.0%nullnull
3.1%
null.null
null0.5%
null75
1.6%
4.7%
null25null
9.4%null
0.0%
null70null
0.0%
null.null
2.3%
null36
2.null
null61
null.1%
4.7%
0.null
7.0%null
null.0%
10.9%nullnull
3.1%
null7.null%
nullnull0%nullnull
0.null
5.5%
6.3% 

0.0%
0.null
null.3%null
null.05
0.500
0.761
0.177
0.2null
1.000
0.035
0.659
1.000
0.141
0.620
0.null5
0.327
0.309
0.023
1.000
0.292
1.000
1.000
0.64null
0.701
0.771
0.304
0.344
0.392
1.000
0.07null
0.150
0.009
0.2null9
0.110
0.004
1.000
0.450
0.410
1.000
1.000
0.096
0.520
12null
12null
12null
12null
12null
12null
12null
12null
124
124
12null
12null
126
12null
12null
124
12null
12null
12null
116
10null
10null
12null
12null
12null
12null
12null
12null
12null
12null
12null
12null
12null
12null
12null
12null
12null
12null
If units shown:
Tester(s) sanullat least one unit nulltnullut any problems
nulle tester sanullmore problems per unit tnullan partner
nulleranull number onullproblems per unit
null.6% 11.3%
15.3%
0.1null
4.null
14.5%
0.29
6.5%
0.null%
null.11null
0.115
1.000
0.0null
124
124
124

aPPENDix F
158 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
New York: Hispanic Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
97.2%
White
0.0%
Hispanic
0.0%
Difference
0.0%
P
1.000
N
145
If able to meet with an agent:
Tester(s) told any units available
nulle tester told about more units tnulln partner
nullvnull number onull units available (per visit)
96.3% 3.0%
2null9%
2.06
0.7%
16.3%
1.null
2.2%
12.6%null
0.19
1.000
0.040
0.119
135
135
135
If available units recommended:
Tester(s) able to inspenull any units
nulle tester inspenulled more units t nullan partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renullired nullor any unit
nulle tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenullotiable
Tester(s) told payment renullired at move nullin
nullveranulle payments at movenullin
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullost
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstor y
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enulletnull
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
94.7%
null.4%
3.1%
1null3%
64.9%
6.1%
62.6%
4.6%
7.6%
100.0%
0.0%
0.null
0.0%
73.3%
5null.null%
2.3%
9.2%
0.null
1.5%
53.4%
6null7%
23.7%
0.0%
3.null
1.5%
24.4%
1.null
nullnull6null
9.2%
1.5%
13.7%
9.2%
27.6%
null31
10.7%
16.0%
null2nullnull57
11.5%
5.3%
null62
0.0%
0.0%
11.5%
nullnull00
33.0%
null2null06
0.null
9.2%
14.5%
7.6%
10.7%
9.2%
2.3%
11.5%
25.2%
7.6%
19.1%
26.0%
4.6%
4.6%
5.4%
1.20
0.null
16.0%
1.null
nullnullnull
13.0%
4.6%
21.4%
14.5%
32.5%
null99
null4%
10.7%
null2null674
9.2%
7.6%
null93
0.0%
0.null
6.1%
nullnull39
22.6%
null2null5null
0.0%
11.5%
13.0%
9.9%
14.5%
6.1%
null4%
10.7%
21.4%
16.null
23.7%
32.1%
7.6%
7.6%
6.9%
1.34
0.null
null.4%
0.0null
null13
null3.null%
null.1%
null.6%
null.3%
null4.9%
null6null
2.3%
5.3%
null 3
2.3%
null.3%
null9
0.0%
null.null
5.3%
null39
10.4%
null52
0.null
null.3%
1.5%
null.3%
null.null
3.1%
null.1%null
0.null
3.null
null.2%null
null.6%
null.1%
null.1%
null.1%
null.5%
null.14
1.000
0.169
0.4null
0.5null
0.45null
0.2null
0.1null
0.2null
0.567
0.513
0.690
0.311
0.329
0.701
0.629
0.530
1.000
1.000
0.210
0.522
0.193
0.904
1.000
0.701
0.null6null
0.67null
0.4null
0.503
0.057
1.000
0.609
0.050
0.504
0.422
0.454
0.454
0.null4
0.106
131
131
131
131
131
131
131
131
123
123
131
131
130
131
131
124
131
131
131
11null
106
106
131
131
131
131
131
131
131
131
131
131
131
131
131
131
130
131
If units shown:
Tester(s) sanull at least one unit nullitnullout any problems
nulle tester sanullmore problems per unit tnulln partner
nulleranull number onullproblems per unit
79.null 10.5%
12.9%
0.20
5.6%
1null5%
0.23
4.null
null.6%
null.03
0.263
0.337
0.57null
124
124
124

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 159
Philadelphia: Black Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
92.5%
White
2.7%
Black
1.4%
Difference
1.4%
P
0.688
N
147
If able to meet with an agent:
Tester(s) told any units available
nulle tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
97.0% 0.8%
29.null%
1.75
2.null
11.null%
1.41
null.5%
18.0%nullnullnull
0.nullnullnull
0.688
0.001
0.000
1null
1nullnull
1null
If available units recommended:
Tester(s) able to inspenull any units
nulle tester inspenulled more units tnulln partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiable
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nulles renulluired nullr any uni t
nulle tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenullotiable
Tester(s) told payment renullired at movenulln
nulleranull payments at movenulln
Tester(s) told payments nenulltiable
Tester(s) told about innullentives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullired
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenulltiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusinnull
Tester(s) told applinulltion must be nullmple ted
Tester(s) told nulledit nullenull must be nullmple ted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstory
Tester(s) told remarks about ranullenulletnullninullity
Tester(s) provided listinnullnullnulloor plannullbronullurenull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
99.2%
4.7%
null 1%
5.4%
89.1%
7.8%
65.9%
null9%
15.5%
100.0%
2.null
11.6%
0.0%
92.2%
7null6%
17.8%
2.null%
2.null%
0.0%
55.0%
69.0%
24.8%
0.0%
1null2%
0.8%
20.9%
1.47
nullnull75
10.1%
null9%
9.null
1.6%
16.5%
null50
10.9%
5.4%
null48
11.6%
10.1%
null85
0.0%
0.0%
19.4%
nullnull82
9.1%
null4nullnull
0.8%
0.8%
6.2%
20.2% 

null.9%
5.4%
4.7%
11.6%
28.7%
5.4%
19.4%
26.4%
null9%
null9%
15.5%
1.50
0.0%
7.8%
1.26
nullnull85
2.null
2.null
7.0%
1.6%
9.4%
nullnull
null.1%
21.7%
nullnull7null
null.9%
5.4%
null54
0.0%
2.null
7.0%
null67
null.7%
null5null14
null1%
2.null%
1null2%
8.5%
11.6%
14.7%
0.0%
8.5%
27.1%
21.7%
26.4%
null.7%
null1%
null1%
8.5%
1.45
0.8%
1null2%nullnull
0.21nullnull
null10
7.8%null
1.6%
2.null
0.0%
7.1%
null0
7.8%nullnull
null16.null%nullnullnull
null425nullnull
7.8%nullnull
4.7%
null1
0.0%
null.null
12.4%nullnull
null15null
null5.6%nullnull
null480nullnull
null.null
null1.6%
null.0%
11.6%null
null7.8%nullnull
null9.null%nullnull
4.7%null
null.1%
1.6%
null16.null%nullnullnull
null.0%
null.null
0.8%
0.8%
7.0%
0.05
1.000
0.008
0.004
0.151
0.021
0.727
0.664
1.000
0.121
0.12null
0.0null1
0.001
0.000
0.041
0.26null
0.490
1.000
0.250
0.009
0.051
0.000
0.000
0.null5
0.625
0.108
0.020
0.041
0.029
0.0null
0.557
0.906
0.001
0.298
0.219
1.000
1.000
0.150
0.57null
129
129
129
129
129
129
129
129
127
127
129
129
128
129
129
127
129
129
129
122
121
121
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
If units shown:
Tester(s) sanullat least one unit nulltnullut any pr oblems
nulle tester sanullmore problems per unit t nullan partner
nulleranull number onullproblems per unit
75.0% 10.2%
14.1%
0.null
8.6%
15.6%
0.null
1.6%
null1.6%
0.07
0.8null
0.871
0.460
128
128
128

aPPENDix F
160 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Riverside: Hispanic Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
100.0%
White
0.0%
Hispanic
0.0%
Difference
0.0%
P
1.000
N
135
If able to meet with an agent:
Tester(s) told any units available
One tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
91.2% 4.8%
29.null
1.35
4.0%
18.4%
1.18
0.8%
11.2%null
0.1nullnull
1.000
0.092
0.031
125
125
125
If available units recommended:
Tester(s) able to inspenull any units
One tester inspenulled more units t nullan partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nulles renullired nullr any unit
One tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenullotiable
Tester(s) told payment renullired at movenull n
nullveranulle payments at movenullin
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net null st
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstor y
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
null.2%
0.0%
4.4%
0.0%
94.null
3.5%
2null.5%
0.0%
15.9%
100.0%
0.0%
0.0%
0.0%
95.null
9null5%
4.4%
0.9%
null.2%
0.0%
88.5%
null5.5%
23.9%
0.0%
4.4%
null1%
19.5%
1.04
nullnull01
4.4%
4.4%
1.8%
0.0%
14.2%
null5
2.null
8.8%
null391
1.8%
19.5%
nullnull
0.0%
2.null
null1%
null35
12.3%
null3nullnull
0.0%
2.null
0.0%
10.null
2.null
10.null%
0.0%
2.null%
3null3%
10.null%
9.null%
12.4%
2.null
2.null
5.3%
1.40
9.null
15.9%
0.98
nullnull10
1.8%
10.null
1.8%
2.null
28.3%
null2null
11.5%
39.8%
nullnull34
2.null
11.5%
null19
0.0%
1.8%
4.4%
null3null
48.1%
null4null44
0.9%
1.8%
3.5%
20.4%
4.4%
12.4%
0.0%
5.3%
3null2%
22.1%
22.1%
30.1%
3.5%
3.5%
9.null
1.39
null.null
3.5%
0.0null
null9
2.null
null.2%
0.0%
null.null
null4.2%null
null31null
null.8%null
null31.0%nullnullnull
nullnull344nullnull
null.9%
8.0%
null2
0.0%
0.9%
2.null
null2
null5.8%nullnull
null5nullnullnull
null0.9%
0.9%
null.5%
null.nullnull
null.8%
null1.8%
0.0%
null2.null%
null.9%
null11.5%nullnull
null12.4%nullnull
nullnullnullnullnull
null.9%
null.9%
null.4%
0.01
0.null8
0.null3null
0.34null
0.124
0.453
0.143
1.000
0.250
0.021
0.0null
0.021
0.000
0.000
1.000
0.1null
0.249
1.000
1.000
0.581
0.89null
0.000
0.000
1.000
1.000
0.125
0.090
0.nullnull
0.845
1.000
0.508
1.000
0.04null
0.029
0.00null
1.000
1.000
0.332
0.923
113
113
113
113
113
113
113
113
113
113
113
113
111
113
113
111
113
113
113
108
10null
10null
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
If units shown:
Tester(s) sanullat least one unit nulltnullut any pr oblems
One tester sanullmore problems per unit t nullan partner
nulleranull number onullproblems per unit
null.8% 12.9%
null.1%
0.12
4.null
15.3%
0.2null
8.2%
null8.2%
null.15
0.118
0.1nullnull
0.113
85
85
85

aPPENDix F
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 161
Rental market treatment measure
Tester(s) able to make an appointment
Both
100.0%
White
0.0%
Hispanic
0.0%
Difference
0.0%
P
1.000
N
139
If able to meet with an agent:
Tester(s) told any units available
nulle tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
87.8% 4.1%
23.null
1.37
8.1%
17.1%
1.20
-4.1%
nullnull
0.18null
1.000
0.322
0.0null
123
123
123
If available units recommended:
Tester(s) able to inspenull any units
nulle tester inspenulled more units t nullan partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnullto-montnull
Tester(s) onullered tnull-year lease
Tester(s) told nullees renullired nullor any unit
nulle tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at move -in
nulleranull payments at move-in
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstory
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enulletnull
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull t
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
88.0%
1.0%
9.null
0.0%
88.9%
0.0%
8null.1%
0.0%
11.1%
97.2%
1.9%
4.null
0.0%
9null4%
98.1%
nullnull
1.9%
0.9%
0.0%
null.0%
74.1%
28.7%
0.0%
9.3%
0.9%
7.4%
1.03
nullnull0null
1.0%
8.null
2.9%
1.9%
1nullnull
nullnull
2.8%
1.9%
nullnullnull
4.null
12.0%
null1
0.0%
0.9%
8.3%
nullnull
7.9%
null0null3null
0.0%
3.7%
1.9%
7.4%
1.9%
null.null%
0.0%
19.4%
34.3%
11.1%
nullnull
11.4%
0.9%
1.0%
0.9%
1.37
4.null
9.3%
1.04
nullnull20
null.7%
null7%
9.null
3.7%
9.7%
nullnull
2.8%
3.7%
nullnull19
3.7%
10.2%
null1
0.0%
0.9%
3.7%
nullnull21
1null8%
null0null73
0.0%
0.9%
0.0%
3.7%
8.3%
19.4%
1.9%
10.2%
32.4%
10.2%
24.1%
3null2%
0.9%
1.0%
7.null
1.31
-3.7%
-1.9%
-0.01
-null4
-4.8%
1.9%
-null7%null
-1.9%
null8%
null0nullnull
0.0%
-1.9%
-nullnull
0.9%
1.9%
null0
0.0%
0.0%
4.null
-null1null
-7.9%
-null38null
0.0%
2.8%
1.9%
3.7%
-null.null%null
-13.9%null
-1.9%
9.3%
1.9%
0.9%
-18.nullnullnull
-24.8%nullnull
0.0%
0.0%
-nullnullnull
0.0null
0.219
0.81null
0.8null
0.141
0.12null
0.804
0.092
1.000
0.248
0.00null
1.000
1.000
0.117
1.000
0.839
0.null2
0.2null
1.000
0.2null
0.049
0.1null
0.081
1.000
0.37null
0.null0
0.388
0.0nullnull
0.00null
0.null00
0.110
0.90null
1.000
0.001
0.000
1.000
1.000
0.039
0.nullnull
108
108
108
10null
10null
10null
10null
108
103
103
108
108
104
108
108
104
108
108
108
10null
101
101
108
108
108
108
108
108
108
108
108
108
108
10null
108
10null
107
108
If units shown:
Tester(s) sanullat least one unit nulltnullut any probl ems
nulle tester sanullmore problems per unit tnulln partner
nulleranull number onullproblems per unit
80.0% 14.7%
2.2%
0.04
1.1%
1null1%
0.19
13.7%nullnull
-12.9%null
-0.1nullnull
0.000
0.013
0.00null
9null
93
93
San Diego: Hispanic Renters

aPPENDix F
162 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Washington, DC: Black Renters
Rental market treatment measure
Tester(s) able to make an appointment
Both
98.5%
White
0.0%
Black
0.0%
Difference
0.0%
P
1.000
N
137
If able to meet with an agent:
Tester(s) told any units available
nulle tester told about more units tnulln partner
nullnullnumber onullunits available (per visit)
90.3% 4.8%
30.null
2.12
4.8%
23.4%
1.71
0.0%
7.3%
0.41nullnull
1.000
0.328
0.008
124
124
124
If available units recommended:
Tester(s) able to inspenull any units
nulle tester inspenulled more units t nullan partner
nulleranull number onullunits inspenulled (per visit)
nulleranull rent nullr any unit
Tester(s) told tnullt rent is nenulltiabl e
Tester(s) onullered montnulltonullontnull
Tester(s) onullered tnullnullear lease
Tester(s) told nullees renullired nullor any unit
nulle tester told nullnuller nulles tnulln partner
nulleranull nulles nullr any unit
Tester(s) told nulles nenulltiable
Tester(s) told payment renullired at move nullin
nullveranulle payments at movenullin
Tester(s) told payments nenulltiable
Tester(s) told about innullntives
nulleranull yearly innullntives
Tester(s) told senullrity deposit renullire d
Tester(s) nullven nulloinull betnullen senull deposit nullbond
Tester(s) told deposit or bond nenullotiable
nulleranull senull deposit nullr any unit
Tester(s) told nullnuller yearly net nullst
nulleranull yearly net nullst
Tester(s) told nullmment on nullir nullusin null
Tester(s) told applinulltion must be nullmpleted
Tester(s) told nulledit nullenull must be nullmpleted
Tester(s) told banullnullound nullenull must be done
Tester(s) told nullmments on nulledit standinnull
Tester(s) told nullmments on rent nullstor y
Tester(s) told remarks about ranullnulltnullinullty
Tester(s) provided listinnullnullnulloor plannullbronullur enull etnull.
Tester(s) provided more total items
Tester(s) told arrannullment nullr nullntanull t
Tester(s) told positive remark
Tester(s) told more positive remarks
Tester(s) told nenulltive remark
Tester(s) told more nenulltive remarks
Tester(s) renullived anullnt nullllonullup
nulleranull overall nulllpnulllness snullre
87.5%
2.7%
0.0%
4.5%
92.9%
5.4%
2null.8%
0.0%
22.3%
100.0%
5.4%
10.7%
0.0%
91.1%
59.8%
25.0%
0.0%
0.0%
0.0%
92.9%
77.7%
25.9%
0.0%
17.9%
null3%
20.5%
1.38
nullnull72
11.null
3.null
7.1%
5.4%
31.3%
null53
13.4%
1null.1%
null214
1.8%
17.9%
null23
0.0%
5.4%
15.2%
null14
10.1%
null0null8null
1.8%
4.5%
18.8%
15.2%
0.0%
7.1%
0.9%
0.9%
28.null
8.9%
25.0%
28.null
2.7%
2.7%
20.8%
1.null
4.5%
25.0%
1.41
nullnull80
7.1%
1.8%
1.8%
1.8%
27.7%
nullnull
10.7%
19.null%
null477
5.4%
5.4%
null55
0.0%
4.5%
17.0%
null55
30.3%
null0null88
0.9%
4.5%
15.2%
24.1%
3.null
12.5%
0.9%
3.null%
45.5%
13.4%
17.9%
25.0%
3.null
3.null
18.9%
1.77
1.8%
null4.5%
null.04
null9
4.5%
1.8%
5.4%
3.null
3.null
null7
2.7%
null.null
nullnull2null3nullnullnull
null.null
12.5%nullnull
nullnullnullnull
0.0%
0.9%
null.8%
null41
null0.2%nullnull
null402
0.9%
0.0%
3.null
null.9%
null.null
null5.4%
0.0%
null2.7%
null7.0%null
null.5%
7.1%
3.null
null.9%
null.9%
1.9%
null.15
0.774
0.57null
0.null2
0.345
0.383
0.null8
0.109
0.289
0.null0
0.null3
0.701
0.null3null
0.001
0.289
0.009
0.004
1.000
1.000
0.8null
0.392
0.004
0.01null
1.000
1.000
0.null7
0.174
0.125
0.28null
1.000
0.375
0.048
0.424
0.312
0.null9
1.000
1.000
0.551
0.104
112
112
112
112
112
112
112
112
112
112
112
112
111
112
112
109
112
112
112
89
89
89
112
112
112
112
112
112
112
112
112
112
112
112
112
112
10null
112
If units shown:
Tester(s) sanullat least one unit nulltnullut any probl ems
nulle tester sanullmore problems per unit tnulln partner
nulleranull number onullproblems per unit
87.8% 0.0%
11.2%
0.14
9.2%
5.1%
0.09
null.2%nullnull
null1%
0.05
0.004
0.210
0.32null
98
98
98

rEFErENcES
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 163
REFERENCES
Abravanel, Martin. 2006. Do We Know More Now? Trends in Public Knowledge, Support, and Use of Fair
Housing Law. Washington, DC: U.S. Department of Housing and Urban Development.
http://www.huduser.org/Publications/pdf/FairHousingSurveyReport.pdf.
Angrist, Joshua, and Jorn-Steffen Pischke. 2008. Mostly Harmless Econometrics. Princeton, NJ: Princeton
University Press.
Calem, Paul S., Kevin Gillen, and Susan Wachter. 2004. “The Neighborhood Distribution of Subprime
Mortgage Lending.” Journal of Real Estate Finance and Economics 29(4): 393-410.
Carr, James H. and Nandinee K. Kutty. 2008. Segregation: The Rising Costs for America. New York:
Routledge.
Cashin, Sheryll. 2004. The Failures of Integration: How Race and Class Undermine America’s Dream. New
York: PublicAffairs.
Edley, Christopher, Jr. 1992. “Implications of Empirical Studies on Race Discrimination.” In Clear
and Convincing Evidence: Measurement of Discrimination in America, edited by Michael Fix and
Raymond J. Struyk (377-91). Washington, DC: Urban Institute Press.
Ellen, Ingrid Gould. 2008. “Continuing Isolation: Segregation in America Today.” In Segregation: The
Rising Costs for America, edited by James H. Carr and Nandinee K. Kutty (261-77). New York:
Routledge.
Engel, Kathleen C. and Patricia A. McCoy. 2008. “From Credit Denial to Predatory Lending: The
Challenge of Sustaining Minority Homeownership.” In Segregation: The Rising Costs for America,
edited by James H. Carr and Nandinee K. Kutty (81-124). New York: Routledge.
Espenshade, Thomas J., and Maryann Belanger. 1998. “U.S. Public Perceptions and Reactions to
Mexican Migration.” In At the Crossroads: Mexican Migration and U.S. Policy, edited by Frank D.
Bean, Rodolfo O. de la Garza, Bryan R. Roberts and Sidney Weintraub. New York: Rowman and
Littlefield.
Farley, Reynolds, Elaine L. Fielding, and Maria Krysan. 1997. “The Residential Preferences of Blacks and
Whites: A Four-Metropolis Analysis” Housing Policy Debate 8(4).
Fix, Michael, and Raymond J. Struyk, eds. 1993. Clear and Convincing Evidence: Testing for
Discrimination in America. Washington, DC: Urban Institute Press.
Galster, George, and Erin Godfrey. 2005. “By Words and Deeds: Racial Steering by Real Estate Agents in
the U.S. in 2000.”  Journal of the American Planning Association 71:251-68.
Hartman, Chester and Gregory D. Squires. 2010. The Integration Debate: Competing Futures for American
Cities. New York: Routledge.

rEFErENcES
164 HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012
Havens Realty Corp. v. Coleman, 455 U.S. 363. 1982. http://supreme.justia.com/cases/federal/us/455/363/
case.html.
Hunter, William C., and Mary Beth Walker. 1996. “The Cultural Affinity Hypothesis and Mortgage Lending
Decisions.” Journal of Real Estate Finance and Economics 13(1): 57-70.
Krysan, Maria. 2011. “Data Update to Racial Attitudes in America.” An update and Web site to complement
Howard Schuman, Charlotte Steeh, Lawrence Bobo, and Maria Krysan. Racial Attitudes in America:
Trends and Interpretations. Rev. ed., Cambridge, MA: Harvard University Press, 1997. http://www.igpa.
uillinois.edu/programs/racial-attitudes/.
Lapinski, J.S., P. Peltola, G. Shaw, and A. Yang. 1997. “Immigrants and Immigration.” Public Opinion
Quarterly 61:356-83.
Logan, John. 2011. Separate and Unequal: The Neighborhood Gap for Blacks, Hispanics, and Asians in
Metropolitan America. Providence, RI: Brown University. http://www.s4.brown.edu/us2010/Data/
Report/report0727.pdf.
Oliver, Melvin L., and Thomas M. Shapiro. 1997. Black Wealth/White Wealth: A New Perspective on Racial
Inequality. New York: Routledge.
Pattillo-McCoy, Mary. 1999. Black Picket Fences: Privilege and Peril among the Black Middle-Class. Chicago:
University of Chicago Press.
Pattillo, Mary E. 2005. “Black Middle-Class Neighborhoods.” Annual Review of Sociology 31(1): 305–29.
Polikoff, Alexander. 2006. Waiting for Gautreaux: A Story of Segregation, Housing, and the Black Ghetto.
Evanston, IL: Northwestern University Press.
ProPublica. 2012. Living Apart: Fair Housing in America. http://www.propublica.org/series/living-apart.
Ross, Sonya, and Jennifer Agiesta. 2012. “AP poll: Majority harbor prejudice against blacks.” http://bigstory.
ap.org/article/ap-poll-majority-harbor-prejudice-against-blacks.
Rusk, David. 1993. Cities without Suburbs. Baltimore, MD: Johns Hopkins University Press.
Schuman, Howard, Charlotte Steeh, Lawrence Bobo, and Maria Krysan. 1998. Racial Attitudes in America:
Trends and Interpretations. Rev. ed. Boston, MA: Harvard University Press.
Turner, Margery Austin and Zachary McDade. 2012a. “Broad Improvements Mask Stark Differences in
Metropolitan Racial Segregation.” MetroTrends. http://metrotrends.org/commentary/segregation.cfm.
———. 2012b. “Immigration Brings Diversity to Neighborhoods Where African Americans Live.”
MetroTrends http://www.metrotrends.org/commentary/diversity2.cfm
Turner, Margery, and Stephen Ross. 2003a. Discrimination in Metropolitan Housing Markets: Phase 2 – Asians
and Pacific Islanders. Washington, DC: U.S. Department of Housing and Urban Development.

rEFErENcES
HOUSING DISCRIMINATION AGAINST RACIAL AND ETHNIC MINORITIES 2012 165
———. 2003b. Discrimination in Metropolitan Housing Markets: Phase 3 – Native Americans. Washington,
DC: U.S. Department of Housing and Urban Development.
Turner, Margery Austin, and Lynette Rawlings. 2009. “Promoting Neighborhood Diversity: Benefits,
Barriers, and Strategies.” Washington, DC: The Urban Institute.
Turner, Margery, Stephen Ross, George Galster, and John Yinger. 2002. Discrimination in Metropolitan
Housing Markets: Phase 1. Washington, DC: U.S. Department of Housing and Urban
Development.
Turner, Margery, Raymond Struyk, and John Yinger. 1991. Housing Discrimination Study Synthesis.
Washington, DC: U.S. Department of Housing and Urban Development.
U.S. Department of Housing and Urban Development (HUD). 2000. Curbing Predatory Home Mortgage
Lending. Washington, DC: U.S. Department of Housing and Urban Development.
White, Elon James. 2012. Poll: Racial Prejudice Has Risen Since 2008. Elongated thoughts. http://www.
theroot.com/blogs/elongated-thoughts/majority-americans-harbor-negative-feelings-towards-blacks-
not-shocking.
Wienk, Ronald E., Clifford E. Reid, John C. Simonson, and Frederick J. Eggers. 1979. Measuring
Discrimination in American Housing Markets: The Housing Market Practices Survey. Washington, DC:
U.S. Department of Housing and Urban Development.

U.S. Department of Housing and Urban Development