IPSOS / Enterprise Community Partners POLL DATA Prepared by Ipsos Public Affairs

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1 Ipsos Poll Conducted for Enterprise Community Partners Make Room Topline These are findings from an Ipsos poll conducted February 29-March 4, 2016 on behalf of Enterprise Community Partners. For the survey, a sample of roughly 1,006 adults age 18+ from the continental U.S., Alaska and Hawaii, were interviewed online in English. The sample for this study was randomly drawn from Ipsos s online panel (see link below for more info on Access Panels and Recruitment ), partner online panel sources, and river sampling (see link below for more info on the Ipsos Ampario Overview sample method) and does not rely on a population frame in the traditional sense. Ipsos uses fixed sample targets, unique to each study, in drawing sample. After a sample has been obtained from the Ipsos panel, Ipsos calibrates respondent characteristics to be representative of the U.S. Population using standard procedures such as raking-ratio adjustments. The source of these population targets is U.S. Census 2015 American Community Survey data. The sample drawn for this study reflects fixed sample targets on demographics. Post-hoc weights were made to the population characteristics on gender, age, region, race/ethnicity and income. Statistical margins of error are not applicable to online polls. All sample surveys and polls may be subject to other sources of error, including, but not limited to coverage error and measurement error. Where figures do not sum to 100, this is due to the effects of rounding. The precision of Ipsos online polls is measured using a credibility interval. In this case, the poll has a credibility interval of plus or minus 3.5 percentage points for the general populations respondents (see link below for more info on Ipsos online polling Credibility Intervals ). Ipsos calculates a design effect (DEFF) for each study based on the variation of the weights, following the formula of Kish (1965). This study had a credibility interval adjusted for design effect of the following (n=1,006, DEFF=1.5, adjusted Confidence Interval=5.0). For more information about Ipsos online polling methodology, please go here National Colorado Denver Q1. In the past 12 months, has there been any time in which you were unable to pay for your rent or mortgage or had to reduce your spending to afford your rent or mortgage payment? Yes 21% 26% 26% No 79% 74% 74%

2 Q2. In the last 12 months, in which of the following areas have you had to reduce your spending to afford your rent or mortgage payment? [choose all that apply] *Asked of those that said Yes at Q1 Q3. Looking forward, in the next 12 months, how worried are you, if at all, that you will have to leave your home because you won t be able to pay your rent or mortgage? Q4. How many times, if at all, have you moved in the last five years because your rent or mortgage payment was too high? Q5. Since 2008, has the primary earner in your household experienced any of the following? [Choose all that apply] Q6. How long, on average, is your commute to work? Groceries 57% 65% 64% Clothing 54% 58% 57% Household necessities 43% 53% 37% Travel 33% 36% 41% Credit card debt 31% 47% 55% Gas/Automotive 30% 36% 38% Medical care (including prescriptions/medicine) 24% 25% 29% Student loan debt 9% 19% 18% Childcare expenses 9% 5% 6% Other 9% 6% 4% Total Very worried 7% 10% 11% Moderately worried 8% 8% 6% Somewhat worried 17% 20% 19% Not at all worried 68% 62% 64% 1 15% 17% 18% 2 4% 9% 9% 3 3% 5% 6% 4 1% 2% 3% 5 times or more * * * I have not moved in the last five years 76% 67% 65% Loss of job 18% 23% 26% Had to change to lower paying job 9% 9% 10% Reduction in pay for same job 6% 10% 12% Forced to move due to increased housing costs 5% 11% 13% Home foreclosure 4% 4% 6% Been threatened with foreclosure 4% 4% 4% Been at risk of eviction due to inability to pay rent 4% 5% 6% Been evicted 2% 2% 3% None of these 63% 58% 54% Prefer not to answer 4% 2% 1% I do not work 37% 34% 29% I work from home 11% 13% 13% 15 minutes or less 17% 17% 12% 16 to 30 minutes 20% 22% 27% 31 to 60 minutes 10% 11% 15% 61 to 90 minutes 2% 2% 2% More than 90 minutes 2% 1% 1%

3 Strongly agree 42% 44% 45% Q7_1. Please indicate how much you agree or disagree with each of the following statements Leaders of our community should work to create and preserve safe and affordable homes for all Somewhat agree 43% 42% 42% Somewhat disagree 10% 9% 7% Strongly disagree 5% 5% 6% Strongly agree 38% 40% 39% Q7_2. Please indicate how much you agree or disagree with each of the following statements We should develop rental homes that are more affordable for families in our community Somewhat agree 39% 40% 40% Somewhat disagree 14% 14% 16% Strongly disagree 8% 6% 5% Strongly agree 15% 13% 15% Q7_3. Please indicate how much you agree or disagree with each of the following statements The lack of affordable homes in my area prevents me from living near my job Somewhat agree 18% 21% 24% Somewhat disagree 25% 29% 29% Strongly disagree 42% 36% 33% Strongly agree 28% 27% 33% Q7_4. Please indicate how much you agree or disagree with each of the following statements My neighborhood provides access to good jobs, healthcare, education, and transit systems Somewhat agree 43% 43% 43% Somewhat disagree 20% 19% 16% Strongly disagree 10% 11% 8% Strongly favor 27% 22% 23% Q8_1. Do you favor or oppose each of the following? Requiring fees on new developments to help fund the construction of homes that lower-wage workers can afford Somewhat favor 38% 37% 40% Somewhat oppose 20% 25% 26% Strongly oppose 15% 15% 12%

4 Strongly favor 39% 38% 39% Q8_2. Do you favor or oppose each of the following? Increased efforts by your elected representatives at the local and state level to support the creation of homes that are affordable to lower-wage workers Somewhat favor 42% 43% 44% Somewhat oppose 12% 12% 12% Strongly oppose 6% 7% 5% Strongly favor 40% 40% 43% Q8_3. Do you favor or oppose each of the following? Policies that promote affordable homes for workers with moderate incomes such as teachers, nurses and emergency service employees Somewhat favor 44% 43% 44% Somewhat oppose 10% 11% 10% Strongly oppose 5% 6% 4% Q8_4. Do you favor or oppose each of the following? Increasing access to affordable homes for seniors Strongly favor 48% 44% 47% Somewhat favor 41% 41% 38% Somewhat oppose 8% 11% 13% Strongly oppose 2% 3% 3% Strongly favor 41% 38% 37% Q8_5. Do you favor or oppose each of the following? Increasing access to affordable homes for families earning low wages Somewhat favor 41% 43% 44% Somewhat oppose 12% 14% 15% Strongly oppose 5% 5% 4% Strongly favor 19% 11% 12% Q8_6. Do you favor or oppose each of the following? A new fee or tax on home sales to support affordable rental homes Somewhat favor 31% 28% 30% Somewhat oppose 25% 32% 34% Strongly oppose 25% 30% 25%

5 Q9_1. Do you agree or disagree with each of the following statements? Recent residential developments in my neighborhood are causing my rent to increase ***Asked of renters Strongly agree 17% 28% 37% Somewhat agree 32% 33% 36% Somewhat disagree 30% 30% 24% Strongly disagree 20% 8% 3% Total Q9_2. Do you agree or disagree with each of the following statements? I know how to find an affordable home in my city or town Strongly agree 27% 20% 18% Somewhat agree 44% 43% 44% Somewhat disagree 20% 27% 30% Strongly disagree 9% 10% 8% Strongly agree 17% 16% 16% Q9_3. Do you agree or disagree with each of the following statements? In recent years, I have had to downsize to be able to afford my rent or mortgage Somewhat agree 23% 17% 17% Somewhat disagree 20% 21% 21% Strongly disagree 41% 46% 46% Strongly agree 20% 15% 13% Q9_4. Do you agree or disagree with each of the following statements? State and local officials should not have any involvement in affordable housing policy Somewhat agree 23% 24% 25% Somewhat disagree 38% 40% 40% Strongly disagree 19% 21% 23% Senior citizens 23% 23% 23% The homeless 20% 15% 16% Minimum wage workers 19% 22% 23% Q10. Who do you think most needs affordable housing? (Please select one response) Single parent households 14% 16% 15% Veterans 13% 16% 17% Nurses, police officers, firefighters and other essential workers 5% 8% 6% Other 5% 1% 1%

6 How to Calculate Bayesian Credibility Intervals The calculation of credibility intervals assumes that Y has a binomial distribution conditioned on the parameter θ\, i.e., Y θ~bin(n,θ), where n is the size of our sample. In this setting, Y counts the number of yes, or 1, observed in the sample, so that the sample mean (y ) is a natural estimate of the true population proportion θ. This model is often called the likelihood function, and it is a standard concept in both the Bayesian and the Classical framework. The Bayesian 1 statistics combines both the prior distribution and the likelihood function to create a posterior distribution. The posterior distribution represents our opinion about which are the plausible values for θ adjusted after observing the sample data. In reality, the posterior distribution is one s knowledge base updated using the latest survey information. For the prior and likelihood functions specified here, the posterior distribution is also a beta distribution (π(θ/y)~β(y+a,n-y+b)), but with updated hyper-parameters. Our credibility interval for θ is based on this posterior distribution. As mentioned above, these intervals represent our belief about which are the most plausible values for θ given our updated knowledge base. There are different ways to calculate these intervals based on π(θ/y). Since we want only one measure of precision for all variables in the survey, analogous to what is done within the Classical framework, we will compute the largest possible credibility interval for any observed sample. The worst case occurs when we assume that a=1 and b=1 and y=n/2. Using a simple approximation of the posterior by the normal distribution, the 95% credibility interval is given by, approximately: For this poll, the Bayesian Credibility Interval was adjusted using standard weighting design effect 1+L=1.3 to account for complex weighting 2 Examples of credibility intervals for different base sizes are below. Ipsos does not publish data for base sizes (sample sizes) below 100. Sample size Credibility intervals 2, , ,