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Missouri State University

Alternatives to Decennial Census Data: Using Intercensal Data to Assess Neighborhood Conditions

Abstract

dc:description.abstract

A neighborhood is a constantly changing mix of sociological, physical and economic variables. Frequent monitoring facilitates proactive maintenance and improvement in neighborhoods. An extensive search of the literature yielded 19 neighborhood variables most used in neighborhood research. At least one timely, relevant, reliable and economical intercensal indicator was found for each variable. Results of this research provide a framework for local intercensal neighborhood assessment. This framework facilitates the use of local data sources and benchmarking to provide a basis for managing neighborhood quality through annual monitoring and trend analysis. Geographic information systems (GIS) technology was found to be a major factor in operationalizing intercensal neighborhood assessment.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Geospatial Sciences
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Geography, Geology, and Planning
Year
2002

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Davis, Anita
Contributors dc:contributor
  • Diane May

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • © Anita Davis

Identifiers

dc:identifier.*
Repository record dc:identifier
https://bearworks.missouristate.edu/theses/735
OAI identifier oai:identifier
oai:bearworks.missouristate.edu:theses-1736

Chain of custody

source
Harvested from
Missouri State University
Base URL
bearworks.missouristate.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Davis, Anita. Alternatives to Decennial Census Data: Using Intercensal Data to Assess Neighborhood Conditions. Masters thesis, 2002. https://bearworks.missouristate.edu/theses/735