Calculating MOEs from derived ACS estimates

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.
Parents
  • We currently follow the “>15% CV use with caution” standard recommended by the Compass Guides in our office but I have been doing a little research to explore the idea using of tiered reliability categories especially for working with small area estimates (tracts, zip codes). So far I have found three sources that provide tiered categories, but they are all a little different.

    1. State of Washington, Office of Financial Management (I think this is the State Data Center?)
    www.ofm.wa.gov/.../ofm_acs_user_guide.pdf
    Good: CV
    Fair: 15%
    Use with caution: CV > 30%

    2. ESRI
    www.esri.com/.../reliability-flags
    High Reliability: CV
    Medium Reliability: 12%
    Low Reliability: CV>40% (considered very unreliable)

    3. Missouri State Data Center mcdc.missouri.edu/.../usage-notes.php
    Most Reliable: CV less than 9.1 (RMOE less than 15%)

    Middle Category: CV between 9.1 and 21.2 (RMOE between 15%-35%)
    Least Reliable: CV 21.2 or greater (RMOE greater than 35%)

    I am interested in hearing other’s responses to Stan’s question and also learning about whether anyone else uses tiered reliability guidelines and what your breakdowns are.
Reply
  • We currently follow the “>15% CV use with caution” standard recommended by the Compass Guides in our office but I have been doing a little research to explore the idea using of tiered reliability categories especially for working with small area estimates (tracts, zip codes). So far I have found three sources that provide tiered categories, but they are all a little different.

    1. State of Washington, Office of Financial Management (I think this is the State Data Center?)
    www.ofm.wa.gov/.../ofm_acs_user_guide.pdf
    Good: CV
    Fair: 15%
    Use with caution: CV > 30%

    2. ESRI
    www.esri.com/.../reliability-flags
    High Reliability: CV
    Medium Reliability: 12%
    Low Reliability: CV>40% (considered very unreliable)

    3. Missouri State Data Center mcdc.missouri.edu/.../usage-notes.php
    Most Reliable: CV less than 9.1 (RMOE less than 15%)

    Middle Category: CV between 9.1 and 21.2 (RMOE between 15%-35%)
    Least Reliable: CV 21.2 or greater (RMOE greater than 35%)

    I am interested in hearing other’s responses to Stan’s question and also learning about whether anyone else uses tiered reliability guidelines and what your breakdowns are.
Children
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