Every two years, the Department of Housing and Urban
Development (HUD) issues its
Worst
Case Housing Needs Report to Congress (WCN). This report highlights the
challenges faced by low-income renter households in finding affordable, good-quality
housing. In addition to data on characteristics of renter households and units,
HUD’s report provides a count of renters facing worst case needs
—defined as households
who earn less than 50 percent of the area median income (AMI) who do not
receive housing assistance from the government, who also are severely cost burdened
(spending more than 50 percent on income on housing costs), and/or live in
severely inadequate units.
In its most recent WCN report released in May 2015,
HUD noted a full 9 percent decline in the number of households with worst case
needs, falling from 8.5 million in 2011 to 7.7 million in 2013. It was the
first decline in that measure since a slight (1 percent) decrease in 2005-2007
and followed two periods of increases of about 20 percent. The change was
surprising given that it coincided with a time of broadly stagnant incomes,
rising rents, and a rapid increase in the number of renters. Do HUD’s numbers
reflect genuine improvements in conditions for renters or are other factors at
work?
A potential explanation for the decrease in worst case needs
explored by HUD is a change in the income limits the agency uses to identify households
earning less than 50 percent of AMI (very low-income households). Between 2011
and 2013, HUD reduced the maximum income for very low-income households by $516,
decreasing the number of households in this group eligible to be counted among
those with worst case needs by about 1 percent. When HUD compared the tallies
of renters with worst case needs using the new and old cutoffs, however, it
found that only 20,000 of the 750,000 total reduction 2011–2013 could be
attributed to the new lower income limit.
Much of the decrease in worst case needs is due to a drop in
households with severe cost burdens, which account for the vast majority of
worse case needs. HUD reported that the total number of renter households with
severe cost burdens fell from 10.4 million in 2011 to 9.7 million in 2013, a
decline of over 6 percent. Counter to these findings, however, calculations
from the Joint Center for Housing Studies (JCHS) using a different data source,
the American Community Survey, found a negligible decline (just over 1 percent)
in severely cost burdened renters, from 11.3 million in
2011
to 11.2 million in
2013.
Notes: Severe burdens are defined as housing costs of more than 50% of household income. In HUD tabulations, households with zero or negative income are excluded unless they pay Fair Market Rent or more for housing. For households paying no cash rent, utility costs are used to represent housing costs. In JCHS tabulations, households with zero or negative income are assumed to have severe burdens, while renters paying no cash rent are assumed to be without burdens.
Sources: HUD Worst Case Housing Needs: 2015 Report to Congress and JCHS tabulations of US Census Bureau, American Community Surveys.
Several unique methodological differences help contextualize
why HUD and JCHS estimates vary
(Figure
1). The first key distinction between the measures reported by HUD and JCHS
is the source data. HUD estimates of cost burdens rely on the
American Housing Survey
(AHS), a biennial survey jointly administered by HUD and the Census Bureau assessing
characteristics of the housing stock and its occupants. JCHS calculates cost
burdens using the
American
Community Survey (ACS), an annual Census Bureau survey of households designed
to supplement the short form decennial census. The surveys vary in size and
scope. The AHS reaches 50,000-70,000 housing units in its national longitudinal
sample, gathering detailed information on housing quality and cost, assisted
status, and location. The ACS reaches 3.0-3.5 million households in the years
since its full implementation and collects information on many demographic,
economic, and employment characteristics, along with selected housing cost and
unit information.
In addition to their variations in design, the AHS and ACS use
distinct methods for defining occupied units that result in different counts
for the most basic variables of total households (equivalent to total occupied
housing units) and households by tenure. While
several
reports
have examined these differences in more depth, essentially the ACS uses a
broader definition of occupancy and makes more attempts to contact sampled
households. These features of the survey tend to increase the number of
occupied units reported and can count households in a seasonal residence (often
rented) rather than their usual residence (possibly owned), increasing the
number of renter households over the AHS
(Figure
2). While not unique to the 2011-2013 period to explain the divergent
trends, this difference in methodology consistently results in about 2 million
more renter households in the ACS over the AHS, likely contributing in part to
a higher ACS count of burdened renters
Sources: HUD Worst Case Housing Needs: 2015 Report to Congress and JCHS tabulations of US Census Bureau, American Community Surveys.
There are also important distinctions in how cost burdens
are measured and what adjustments are made to the data. According to its WCN
report, HUD excludes households reporting zero or negative income when
calculating cost burdens, unless these households report paying the local Fair
Market Rent (FMR) or more for housing. In this case, HUD assumes the negative
income reported to represent a temporary situation and imputes a higher income
for the household. If these households pay more than FMR and live in adequate,
uncrowded housing, an income slightly higher than the local area median is
assigned, again assuming a temporary period of income loss. HUD also makes
adjustments for households that report paying no cash rent. For these
households, HUD relies on reported utility costs to represent housing costs and
identify housing cost burdens.
In contrast, JCHS assumes all households reporting zero or
negative income to be severely cost burdened and all those paying no cash rent
to be unburdened (in the case of a household reporting both zero or negative
income and no cash rent, the household is assumed to be unburdened). The
difference in adjustments may have had an especially large impact in 2011-2013 as
JCHS tabulations of the AHS find the number of renter households reporting zero
or negative income rose by nearly 13 percent, about four times the rate of
growth of renters reporting positive income. ACS numbers do not mirror this
rise, as renters reporting zero or negative income increased by 3 percent
2011-2013. Excluding zero or negative income households may better isolate
households with perennially low incomes from those potentially higher-wealth
households reporting temporary annual business losses. However, excluding these
households from ACS analysis finds that severe cost burdens still do not drop
nearly as much in 2011-2013 as HUD methods shows. Subtracting all households
with zero or negative incomes from the ACS burden count shifts the totals to
10.4 million severely burdened renters in 2011 and 10.3 million in 2013, a
decline of just 1.4 percent—much smaller than that reported by HUD for the
period. Conversely, if all zero or negative income households in the AHS were
considered burdened regardless of rent level, the decline in renters with
severe cost burdens 2011–2013 would be about 4.6 percent.
In addition to varying counts of zero and negative income
households, a disparity in median renter income patterns between 2011 and 2013
may also explain part of the divergent cost burden trends in that period. HUD
cites an increase in median renter income of 7.2 percent in 2011-2013 in real
terms as a factor driving down the number of severely burdened renters. While
JCHS estimates of ACS data also find an increase in real median renter income
in that time—the first increase since 2006-2007—the gain is a distinctly
smaller 5.2 percent. HUD notes in its WCN report that some of the observed
increase in median income may be due to newly formed higher income renter households,
but does not further explore this possibility. Analysis of ACS data indeed
shows that an influx of higher income renters occurred over this time. Of the net
1.7 million increase in renter households measured in the ACS 2011-2013, fully
1 million or 60 percent had incomes of $75,000 or more, over twice the median
renter income (Figure 3). With this
group pulling up the median figure, aggregate income gains may not have
impacted lower income households sufficiently to meaningfully decrease the
number of severely burdened renters.
Source: JCHS tabulations of US Census Bureau, American Community Surveys.
Indeed, analysis of the most recent 2014 ACS reveals the
number of severely burdened renters is once again on the rise, climbing to 11.4
million
—the highest number on record. Whether new AHS data expected in the
upcoming months and the next WCN report due the following spring confirm this
trend or show a further drop in severely burdened renters, the results of both
surveys again underscore the acute unaffordability of housing for millions of
renter households. Understanding whether affordability pressures are worsening
or easing is therefore crucial to making informed decisions concerning rental
assistance and other housing policy actions. Given additional data showing
persistent
rent
growth and
tightness in the rental market, the larger
sample size of the ACS, the benefit of an added year of ACS data showing rising
burdens, and the unusually large recent shifts in renter incomes in the AHS, it
seems likely that the enduringly high severe cost burden levels reported by the
ACS are more accurate and affordability pressures for renter households
continue to build.