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The Zip Code Business Pattern Data from the Census Bureau would be one place to look: census.gov/econ/cbp


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Thanks to GeospatialPython.com who pointed me in the right direction, I was able to throw together a quick Python script to do this. I'm sure there are issues here because I'm not very familiar with pyqgis, but it does appear to work (here is how to verify it through the QGIS GUI. from qgis.core import * # Note: add ...


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Max, I'm the author of PyShp. What you are trying to do is very standard GIS stuff. Download QGIS. It is basically the open-source ArcGIS. It bundles all of the best of breed open source GIS tools into a nice GUI as well as a fantastic Python automation framework. There are dozens of free tutorials and videos for performing different tasks. There also lots ...


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Added per request... Have you tried census.gov, and/or American Fact Finder? You generally have to get the data table and join it to the geographic file (block, tract, group, etc). Not all data is available at all levels, but unless it's a very sparsely inhabited area, I imagine they're all smaller than county level.


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My manager found the Smart Location Database by the EPA and it includes, among other things, gross employment density (jobs per acre) on unprotected land. It breaks it up by categories like Retail, Office, Industrial, etc. instead of the BLS categories in my question. I still plan to do more searching with the suggestions above and will let you know how ...


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Note: PostNL has been assigned by the Dutch government to carry out the UPD (Universele Postdienst, Dutch for Universal Postal Service). This means that PostNL has to deliver mail throughout the Netherlands, five days a week (Tuesday through Saturday), and have enough mailboxes and post offices available for posting mail. ACM is charged with ...


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American Fact Finder contains searchable tables based on census data that should have all the information you are looking for.


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You have two inputs: A polygon layer of Census counts. A classified land cover layer. You would like to perform a kind of dasymetric mapping in which the output is a density raster. It has two defining properties: The integrated density over each Census block should equal the original count. The different types of land cover should have differing ...


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I have been using NHGIS in my teaching as an alternative to Factfinder. It has a data finder that lets you filter for years and topics and select the appropriate shapefiles (more information here). The unique identifier to join shapefiles with tables is GISJOIN and instructions are here. Registration is free.


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I suggest a different work flow. That is, I assume you have the Spatial Analyst. The workflow is based upon the tool: Tabulate Area. Note that using the tool with your polygon layer, i.e. blocks, will automatically convert those to a raster, thus it is better if you would manually convert it, in order to have control on the output. My data is a 2 block ...


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In addition to the FTP site and the ACS summary file retrieval tool, there are two other possibilities for downloading census data for small geographies in bulk. One would be the NHGIS at Univ Minnesota, which is primarily a historical archive but also contains the latest datasets. Another option would be the Missouri Census Data Center's tools. The former ...


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The demographic profile tables (DP02, DP03, DP04, DP05) are extracts from the more detailed ones, so I'm not sure they would be available on the ftp server (since all the data is there in the full tables by default). Another option would be to look at the Missouri Census Data Center's Uexplore/Dexter tools here: ...


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Another option would be to work with normalized census boundaries, where data from the old geographies have been modified (split, combined, or apportioned as the case may be) to fit the most current boundaries. The Longitudinal Tract Data Base (LTDB) project at Brown University has normalized US census data from 1970 to 2000 to fit the current 2010 census ...


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The Census Bureau also publishes csv files for tracts and many other geographies that contain the population centroid (aka Centers of Population) for each feature. In one download you'd have the Tract ID numbers, the 2010 Population, and the population centroid in Long / Lat (NAD 83) for each feature: http://www.census.gov/geo/reference/centersofpop.html


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The American Factfinder is going to be the most comprehensive source for downloading current US Census data. It's also going to include the identifiers that you need to join the attributes to the census geography by default; you can download the geography files from the Census TIGER shapefiles site. To use the Factfinder, select the Advanced Search option. ...


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American Fact Finder data (tabular) needs to be joined to TIGER data. The TIGER data delineates the boundaries you are working with, be it State, County, MCD, Census tracts, block groups, blocks, etc. Once you have the data joined through a common field you can start examining the relationships between the data.


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The Census geographies follow a strict hierarchy. Doing this as a simple attribute join using a link table will be much faster than doing it as a spatial join, and, as you have discovered also more accurate. As Chris W points, centroid do not always fall inside a polygon (think of a crescent or donut shape), and this is why you are ending up with incorrect ...


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Unfortunately, I am unable to find the data for this outside of Minnesota. For Minnesota, the state GIS office provided me an Excel file with two columns - one with the census block number, and it's corresponding precinct (or VTD) number (like 27010029, or something like that). Then I merged that file with another Excel file that had columns for ...


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The method I have used to do this makes a bad assumption (that population is evenly distributed across the block). However it is AFAIK the only way to do it. You can use the percentage of the area of split precincts occurring in different districts to get the estimated population values that you want. The method works like this. Create a field to ...



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