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Calculating MOEs from derived ACS estimates

Mark Mather over 10 years ago

Over the years, we have heard from a lot of people interested in getting an easy-to-use tool that would help people calculate margins of error from derived ACS data (e.g., data combined across categories or geographies). There are several organizations that have developed some basic applications that might be useful. Here are the links:

sdcclearinghouse.wordpress.com/.../
www.psc.isr.umich.edu/.../
pad.human.cornell.edu/.../
fyi.uwex.edu/.../
www.demography.state.mn.us/.../StatisticalCalculationsMenu.xls

If you are using a different application in your organization, feel free to post it here.

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George Malachowski over 10 years ago

Hello, thank you for all of these resources. After some deliberation, our organization decided to use the following guidelines when publishing the estimates:

Indiviudal Estimate CVs:

Excellent- 0-10%
Good- 10-30%
Fair- 30-60%
Poor- >61%

Source:

Ashenfelter, Kathleen, "Study Series: Data Reliability Indicator Cases on the Coefficient of Variation: Results from the Second Round of Testing," Statistical Research Division, U.S. Census Bureau, April 2010.

For groups of estimates (such as all of the Census Tracts in a county:

High- >80% of geographies' CV
Medium- 60-80% of geographies' CV
Low-

Source:

Michael Stasinic et al, "Quality Rating Classification of 5-year ACS MYES Estimated by Population Size Groupings and in Comparison with Census 2000 Long Form Estimates," Decennial Statistical Studies Division, U.S. Census Bureau, May 2011.
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George Malachowski over 10 years ago

Hello, thank you for all of these resources. After some deliberation, our organization decided to use the following guidelines when publishing the estimates:

Indiviudal Estimate CVs:

Excellent- 0-10%
Good- 10-30%
Fair- 30-60%
Poor- >61%

Source:

Ashenfelter, Kathleen, "Study Series: Data Reliability Indicator Cases on the Coefficient of Variation: Results from the Second Round of Testing," Statistical Research Division, U.S. Census Bureau, April 2010.

For groups of estimates (such as all of the Census Tracts in a county:

High- >80% of geographies' CV
Medium- 60-80% of geographies' CV
Low-

Source:

Michael Stasinic et al, "Quality Rating Classification of 5-year ACS MYES Estimated by Population Size Groupings and in Comparison with Census 2000 Long Form Estimates," Decennial Statistical Studies Division, U.S. Census Bureau, May 2011.
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