<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>forkandwait</author><text>I work for a social services agency, and my guesstimate is that 70% of the managers think that zip codes are the answer to all their spatial analysis problems -- they are very easy to collect, and they &lt;i&gt;feel&lt;/i&gt; right.  These managers don&amp;#x27;t really have any training in geography, so it isn&amp;#x27;t exactly surprising, but I think there is a pretty strong committment to zip codes as &lt;i&gt;the&lt;/i&gt; unit of analysis because it is the one thing they know and think they understand.&lt;p&gt;For the folks who in this thread say &amp;quot;just use a point map of occurrences and you would have seen the problem&amp;quot; you are right in this case, but it isn&amp;#x27;t really enough in most cases.&lt;p&gt;For one, the boundary of the city limit needs to be shown to see the correlation; perhaps one should map the point occurrences a la Snow, and then overlay all the boundaries you have (mosquito district, city boundary, water district boundary, county, etc...).&lt;p&gt;Additionally, a point map doesn&amp;#x27;t tell you rates of occurence, for that you need a denominator, or you can&amp;#x27;t calculate things like number of occurences divided by total population. One poster mentioned Census Tracts, and I would agree those should be the default boundary, subject to more investigation -- tracts correpsond well to &amp;quot;natural&amp;quot; boundaries, they are mostly consistent over census decades, they are mostly consistent with population (~5k), they nest perfectly with other census boundaries, and they are the smallest geography for which you can get mostly the full suite of population characteristics like education from the ACS.&lt;p&gt;For some reason tracts feel just wrong to people.  I have managers who reject zip codes, but then fixate on weird systems like pixels or equal area hexagons or whatever for which you can&amp;#x27;t get denominator data and which don&amp;#x27;t correspond to anything real.  I don&amp;#x27;t understand, though I don&amp;#x27;t think in public policy &amp;#x2F; social work education anybody bothers to teach you shit about GIS or Census data unless you know to ask specifically.</text><parent_chain></parent_chain></comment><story><title>How ZIP codes nearly masked the lead problem in Flint (2016)</title><url>https://theconversation.com/how-zip-codes-nearly-masked-the-lead-problem-in-flint-65626</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>toast0</author><text>At a more general level, your mailing address indicates how to deliver your mail; it does not indicate what city, if any, the delivery address is in. Neither does your zip code (as illustrated in the article), your phone number area code, or phone number prefix. All of these things indicate the location of the mail or phone facility that services the delivery address -- or that once did, before facility consolidation or expansion.&lt;p&gt;A related phenomenon is that different agencies have different boundaries, despite often sharing the same geographic name. Cities, water districts, sanitary districts, school districts, community college districts, counties, congressional districts, etc each have their own boundaries, and they are usually not aligned.</text><parent_chain></parent_chain></comment><story><title>How ZIP codes nearly masked the lead problem in Flint (2016)</title><url>https://theconversation.com/how-zip-codes-nearly-masked-the-lead-problem-in-flint-65626</url></story>