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.
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  • We calculate MOE as described in the Compass series as mentioned in the first post. When we aggregate across multiple categories, if there are multiple 0 estimates, then we count the MOE for the 0 estimate only once. That reduces the aggregated MOE somewhat, but even so, we often get MOEs of over 100% of the estimate in some small geographies.
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  • We calculate MOE as described in the Compass series as mentioned in the first post. When we aggregate across multiple categories, if there are multiple 0 estimates, then we count the MOE for the 0 estimate only once. That reduces the aggregated MOE somewhat, but even so, we often get MOEs of over 100% of the estimate in some small geographies.
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