New answers tagged census
Try NHGIS, which allows you to get blocks for all states. Set the filters as I have done in the attached screen shot.
Deep linking is a beautiful thing that fulfills this need exceptionally. For instance, do you want the Urban/Rural status of the population by Block Group (aka Table P2)? Well, just build some links to them. Admittedly, you'll have to build a few links though (e.g. Part 1, Part 2, Part 3, Part 4, Part 5 ). I built those links to pull all block groups by ...
In the Select Geographies window that comes up, try the Name tab instead of the List tab. Adjust the geography filter options (e.g., "Block Group" within state "Alabama" in the image below) and it will provide you with a list of results. Select all the "All Block Groups within Whatever County" geographies using the "Check All" box and it is much faster than ...
Oh really, well if you are interested you could try this geodatabase.
Field Mapping begins on page 2-8. Look at the "Data Dictionary Reference", field size, and starting position. Should give you a template for your files.
So, the census has a template mdb file that is used for importing their sf1 data into... but if you want an open source route here is a post about using postgres to format the data: http://sproke.blogspot.com/2012/01/importing-2010-sf1-census-in-postgresql.html And if you want to use access, there is that approach: ...
What you're trying to do is known as apportionment. This takes a numerical attribute value of a feature and divides it in some way between pieces that feature is split into. There are a number of different solutions. In fact, there's a specific tool for it in the Business Analyst extension, but you probably don't have that. Esri has also published a ...
Try this: Add a new text field Using Field Calculator concatenate the block name field with the ZIP4 field - python e.g. str(!blockName!) + ' ' + str(!ZIP4!) Right click on the step 1 field and select Summarize (keep defaults). This should give you a summary table of all block names by ZIP4 values.
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