Oregon Public Use Microdata Area (PUMA) Reference Maps
Public Use Microdata Areas (PUMAs) provide most detailed U.S. wall-to-wall geography (2,378 areas) for which current year demographic-economic data are available. The 2010 vintage PUMAs will be used throughout the 2010s with annually updated demographic-economic data. This section provides 2010 vintage reference maps for Oregon.
PUMA Demographic-Economic Characteristics
View, rank, compare ACS 2012 data for these PUMAs:
General Demographics .. Social Characteristics .. Economic Characteristics .. Housing Characteristics
Maps shown in this section depict 2010 vintage PUMAs with red boundaries and PUMA codes as yellow labels. The maps have been developed using the CV XE GIS software and show the PUMA shapefile boundaries in context of an MapQuest OpenStreetMap tile layer. Install CV XE GIS on your computer to view PUMA thematic pattern maps and add other layers to the views such as census tracts and city/place boundaries.
These maps might be most effectively used on a device such as iPad that supports easy scrolling and gesture zoom-in/out/pan. Use the map graphical views in combination with tabular PUMA list/component views and interactive query tools located at http://proximityone.com/puma2010.htm. Codes displayed in the maps are 5-digit PUMA codes unique to this state. The PUMA GEOID code (7-character), unique nationally, is comprised of the state FIPS code plus 5-digit PUMA code. Codes always include lead zeroes.
Select views for other states using the links provided at right.
Medford Area Zoom-in
Portland Area Zoom-in
Salem Area Zoom-in
ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact ProximityOne (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.
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