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2000115-Strengthening-Communities-with-Neighborhood-Data

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82 <strong>Strengthening</strong> <strong>Communities</strong> <strong>with</strong> <strong>Neighborhood</strong> <strong>Data</strong><br />

Program (US Department of Housing and Urban Development 2010b,<br />

n.d.b). These data represent an important precedent in transforming<br />

commercially valuable data to a less-detailed form in the public interest.<br />

These data are also significant for their timeliness and frequency. HUD<br />

publishes the data quarterly and <strong>with</strong> less than two months’ lag, vastly<br />

improving their value to policymakers and housing practitioners. The<br />

data still exhibit some of the downsides of proprietary data. For example,<br />

there is no documentation on changes in methodology that cause swings<br />

in indicator values, nor is there a way for researchers to submit inquiries<br />

to the producers of the data. 1<br />

In December 2010, the United States entered a new data era when the US<br />

Census Bureau released the first set of five-year American Community Survey<br />

(ACS) data. The Census Bureau designed the ACS to replace the former<br />

long form of the Decennial Census and increase the frequency of updated<br />

data. ACS provides annual releases of data so that users don’t have to wait<br />

10 years for a Decennial Census update. 2 The Bureau releases one-year data<br />

for geographic areas <strong>with</strong> a population of 65,000 and higher; three-year<br />

data for areas <strong>with</strong> a population of 20,000 and higher; and five-year data<br />

for all areas, including block groups and census tracts. Because the ACS is<br />

now administered every month, the Bureau can maintain a consistent level<br />

of operations compared <strong>with</strong> the drastic ramp-up previously needed for<br />

the long form. This change means that the Bureau can maintain a set of<br />

long-term, trained staff to execute the survey, resulting in improved data<br />

collection practices.<br />

Users of all technical abilities are struggling to learn how to responsibly<br />

analyze, interpret, and communicate indicators based on the fiveyear<br />

ACS data. The obvious change is that the five-year ACS data are<br />

a period estimate, reflecting conditions over the entire time period, in<br />

contrast to the point-in-time estimate in the long-form. This difference<br />

would be difficult to communicate to a lay audience at any time, but<br />

the problem was compounded by the timing of the inaugural five-year<br />

estimates. The years 2005 to 2009 straddled the end of a boom period<br />

and the start of the housing crash and Great Recession, so indicators on<br />

economic conditions and housing values did not match <strong>with</strong> the general<br />

understanding of conditions at the time of the data release.<br />

Users faced another learning curve in the need to consider margins<br />

of error. Margins of error existed for all long-form Decennial Censuses,<br />

but the Census Bureau did not publish them or emphasize their use.<br />

The lower sampling rate in the ACS results in higher margins of error

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