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    <p>Jim,</p>
    <p>Census is a large database. Suggest you start by looking at PDF's
      of the actual census questionnaire <b>booklets</b>. In my mind
      that is the easiest way to get a oriented to exactly what is and
      isn't covered. You then need to skim/look at <b>methodology </b>to
      understand the samples, the sampling frequencies, and the masking
      they apply to protect confidentiality of individual information.
      (Much better masking than big data!)</p>
    <p>Personally, I like the <i>Tiger boundary files</i> to get the
      polygons (block, block group, tract, county, zip code...) Note
      that boundaries change pretty frequently, you need to line up the
      correct version by year. <br>
    </p>
    <p>Block is the most granular. The more granular the reporting the
      greater the number of completed surveys they need (and the cost
      for that goes up). Pretty sure that data at the block level is
      100% sampled ONLY every 10 years and very few data elements are
      actually included in that. (see the actual pdf of that level of
      the survey.) Remember too even though they have the data, not much
      will be shared with you at the block level). After that they
      survey (just SAMPLES) at the block group level, on a rotating <i>multiple
        year basis</i>, and use ample inference.</p>
    <p>American Fact Finder is the database name & homegrown query
      language you use to get to the census database and pluck out a
      slice. <br>
<a class="moz-txt-link-freetext" href="https://www.census.gov/programs-surveys/sis/resources/data-tools/aff.html">https://www.census.gov/programs-surveys/sis/resources/data-tools/aff.html</a>
      The UI is html forms based, clunky, but usable with some practice.
      After writing your query via html forms, you run it, and then it
      spits back your data in a download file. <br>
    </p>
    <p>Virtually all the census data available at Fact Finder is pure
      relational except for the boundary (Tiger) files. My personal
      philosophy - do as much as you can with your relational database
      of choice (or spreadsheet if it's small and simple) prior to
      looking at the mapping (spatial) aspects. Microsoft Excel w/ Power
      BI tools is pretty good at ETL, and its Power Query compresses the
      data as it goes into RAM/Swapped memory. It can then spin that
      compressed data ball pretty well (I think by only uncompressing
      operative rows or columns, as needed on the fly). So, even on a
      modest desktop machine you can handle quite a bit . The trick is
      to ETL only what you really need vs. trying to recreate the entire
      census DB locally as step one. <br>
    </p>
    <p>Since there tend to be many steps in the ETL tool chain strongly
      suggest you <b>keep good notes </b>and "breadcrumbs" along the
      trail, so you can repeat it in six months if you have that need.
      What seems "so obvious and unforgettable" just after you work all
      through it, magically evaporates from the memory in about 90 days,
      or less. <br>
    </p>
    <p>If you look at your time and effort dealing with it all you may
      find 3rd party forecasting firms better able at keeping up with
      the constant survey frequency and detailed changes, and providing
      enhanced current projections at the granularity you may need.
      However at other times it pays to dive in yourself so you know
      just how statistically flimsy some of those "enhanced" projections
      actually are (both CENSUS estimates and 3rd party "enhanced"
      estimates).</p>
    <p>The data is only made "accurate enough" to serve the general
      needs of the government plus or minus. If your application
      requires more pure / more recent data you may have to find ways to
      supplement census data to get a better focus on the situation. <br>
    </p>
    <p>Its all available (except for the masking), just takes some
      digging. Use the questionnaires up front as your "treasure map". <br>
    </p>
    <p>Rick</p>
    <p>PS Survey of Current <i>Business </i>is it's own can of worms.
      Operations and plants vs. corporations and subsidiaries, economic
      vs. financial accounting, masking at the firm and industry
      level.... takes a while to unravel all that. Try to find "high
      tech payroll" last quarter vs 4 quarters ago by county or zip....
      Only IRS or State Disability operations have that data...and they
      are not sharing much! Yes they have the individual's information -
      payroll, occupational classification, etc, but relate it, mask it
      and report it? "Not on our budget"....<br>
    </p>
    <div class="moz-cite-prefix">On 5/28/2019 12:52 PM, Thomas, Jim
      wrote:<br>
    </div>
    <blockquote type="cite"
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        <p class="MsoNormal">Hi All, what is the best data source for US
          Census GIS-formatted data?  Ideally, I’m looking for a source
          where I can extract data based on a geographic area such as
          block, block group, tract, county, or user-defined area.  I
          need to report population data based on custom buffers and
          identify feature data such as institutions, parks, etc. within
          those buffers.  In the past, I’ve downloaded the data from
          Esri and extracted it myself, but it’s a lot of data and takes
          time to query.  Additionally, I’ve use BAO to run the
          population reports for the study area, but the maps from that
          service lack the detail we need.  That’s why we create custom
          maps using the census data.  Our sites can potentially be
          anywhere in the US.  Suggestions?
          <o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal">Thanks, <o:p></o:p></p>
        <p class="MsoNormal">Jim.<o:p></o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal"><o:p> </o:p></p>
        <p class="MsoNormal" style="margin-bottom:8.0pt"><b><span
style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#43B02A">Jim
              Thomas, PG, GISP</span></b><b><span
              style="font-size:10.0pt;color:#43B02A"><br>
            </span></b><i><span
style="font-size:9.0pt;font-family:"Arial",sans-serif;color:black">Senior
              Project Geoscientist</span></i><i><span
              style="font-size:9.0pt;color:black"><br>
            </span></i><b><span style="font-size:10.0pt;color:#43B02A"><br>
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      <pre class="moz-quote-pre" wrap="">_______________________________________________
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</pre>
    </blockquote>
    <pre class="moz-signature" cols="72">-- 
Richard J. Labs, CFA, CPA
CL&B Capital Management, LLC
Phone: 315-637-0915
E-mail (preferred for efficiency): <a class="moz-txt-link-abbreviated" href="mailto:rick@clbcm.com">rick@clbcm.com</a>
3213 Yorktown Dr, Tallahassee, FL 32312-2015
June-August: 408B Holiday Harbour, Canandaigua, NY 14424</pre>
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