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DMINews -- July 2007
Topics: • Assessing City/Place and SubCounty Population Composition and Trends • School Demographic Analysis -- integrated multi-sourced school/school district data analysis • Census 2010 LUCA Program Update • Associating Address-Based Data with Neighborhood Demographics • Analyzing Characteristics of Congressional Districts Assessing City/Place and SubCounty Population Composition and Trends How have your cities and places of interest changed since 2000? How do these places compare to others within a state or region or nationally? Get answers to these and related questions using the new place ranking tables and PlaceRank that makes use of the latest official July 1, 2006 population estimates released in June 2007. These estimates are also integrated into MetroDynamics -- view/analyze place size and change in the context of metropolitan areas. See more at city/place demographics. School Demographic Analysis What are the demographics for the area where your schools of interest are located? How do schools of interest compare? How do the school characteristics relate to those of the school district? How do sources and uses of funds by type compare among districts of interest? What are the trends in school district demographics since 2000? The new School Demographic Analysis feature of CommunityViewer provides answers to this and many related questions. View/analyze the newly updated national school and school district operating and geodemographic characteristics such as income, educational attainment and related demographics for the the school location and adjacent small area geography for any of the 102,000 U.S. public schools. Corresponding school and school district shapefiles enable viewing school locations and patterns on maps in the context of other geography and subject matter. Census 2010 LUCA Program Update The Census Bureau Local Update of Census Addresses (LUCA) program is a decennial census geographic partnership program focused on updating geographic data. LUCA gets operationally underway this summer. While the Census Bureau has announced a one month delay in sending letters of participation to highest elected officials of local governments (letters to go out in August), the earliest possible preparation will benefit participating governments. Organizing address-based housing data does not need to wait on the Census Bureau supplied materials and will be one of the largest LUCA participant challenges and time consuming steps. The LUCA program will help the Census Bureau use local knowledge in developing its Master Address File (MAF) for the 2010 Census. The LUCA program presents an important opportunity to cities and other governmental units to participate in the development of the most accurate census possible. By improving the accuracy of the census, localities improve their opportunity to receive their fair share of Federal and other governmental funding and services. In states where a congressional seat might be potentially added or lost, the more important the collective participation of local governments across the state. Tribal, state, and local governments can contribute to a more complete and accurate census for their community by reviewing and commenting on the list of housing unit and group quarters addresses that the Census Bureau will use to deliver questionnaires. The Proximity CommunityViewer software (http://proximityone.com/cv.htm) and related data resources can help LUCA participants maximize the comprehensiveness, quality, and usefulness of the LUCA-related data. The Proximity program provides a means for LUCA program participants to use the data that they help develop and establishes a structure and tools for accessing and analyzing Census 2010 data in a manner integrated with other data. See more detailed information about using CommunityViewer and the LUCA Program. Associating Address-Based Data with Neighborhood Demographics Consider the situation where you have street address and zip code for set of clients or other entities. The set of addresses might be for a city, a state, or drawn from all over the U.S. You desire to learn about neighborhood demographics associated with each address. What are the demographic attributes of each address? You might like to know persons per household, economic prosperity, educational attainment, median age, family size, housing value, age of housing units, units in structure, renter versus owner occupancy, race/ethnic diversity and other such attributes. Using CommunityViewer (CV), you can proceed through these steps to obtain this type of information. • Code your addresses with latitude-longitude. • Convert your latitude-longitude address data into a map point file (shapefile). • Add that address point shapefile to a GIS project to view patterns. • Using the CV point-in-polygon tool, assign census block codes to each address. • Link any demographic summary data with address point shapefile using the CV dBMerge. • Dynamically analyze patterns. Make compelling maps. See more about Address Analysis and how you might change your marketing, service, support or other operations to improve performance of your organization. Analyzing Characteristics of Congressional Districts Where do your congressional districts of interest rank based on median household income? Percent baby boomer? Percent high school graduates? English proficiency? Use the 110th Congressional District Demographics Ranking Table to rank 110th Congressional Districts (in session January 2007 to January 2009) on these and other criteria that you select. Merge your data with congressional district demographics; view/analyze patterns using these integrated data with CommunityViewer. See more at Analyzing Characteristics of Congressional Districts. In August, Proximity will add new congressional district ranking tables with new available 2006 demographics and 2000-2006 demographic change updates. |
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