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Providing access to the 1990 U.S. census maps
Summary
This paper details how libraries can provide access to U.S. Census Bureau geographic data. It explains mapping census reporting areas and creating indexes for easier patron access to Small Area Statistics (SAS) files.
Area of Science:
- Demographic studies
- Geographic Information Systems (GIS)
- Library science
Background:
- The U.S. Census Bureau provides data at granular geographic levels on CD-ROM.
- Accessing these detailed geographic reporting areas, particularly within counties, is crucial for many research needs.
- Specific census files (STF1A, STF1B, STF3A) contain unique mapping information vital for spatial analysis.
Purpose of the Study:
- To illustrate how U.S. Census Bureau reporting levels are defined in Tract/BNA Maps and Block Maps.
- To describe the practical steps a library can take to link patron geographic interests with available census map data.
- To demonstrate a method for enhancing access to small-area census geographic information.
Main Methods:
- Utilizing U.S. Census Bureau CD-ROM data, specifically STF1A, STF1B, and STF3A files.
- Examining and explaining the definitions within Tract/BNA Maps and Block Maps.
- Implementing library-based strategies for map preservation, housing, and accessibility.
- Developing a database index using dBASE software for map information.
- Extracting and organizing data from STF1A using Extract software to create a searchable index.
Main Results:
- A clear illustration of how census reporting areas are geographically defined.
- A practical, step-by-step guide for libraries to create a bridge between user needs and census geographic data.
- A functional index created using dBASE, linking map information to specific census data.
- Improved library service by making detailed geographic census data more accessible to patrons.
Conclusions:
- Libraries can uniquely enhance access to detailed U.S. Census Bureau geographic data.
- Strategic map management and indexing are key to unlocking the value of census spatial information.
- The described methods provide a replicable model for other libraries to improve demographic and geographic data services.