In four demographic reports (Overview, Trend, Employment, and Population Detail) for zip code 60614, race, gender, age, and class will be the most appropriate way to collapse the data. All the information can easily fit under this category for easy analysis. Additionally, the categorization will make data easy to understand by almost everyone without a lot of struggles in interpreting them. Additionally, the data can easily be presented in statistical tables (Aaker, 2010).
However, looking at the data, Hispanic ethnicity and means of transport were unnecessary. Their use will make the information very large for interpretation and analysis. These variables could have been included in the population and race data, and means of transportation to work respectively could have been collapsed into social status (Creswell & John, 2009).
Family Status data and marital status data can be put collapse under households. The information given by the two data is similar since they all give details of the household population during the census (Michael, & Earl, 2011). The household population information can then be added to the main categories of race, gender, class. Data on means of transportation can be condensed with travel time data. The mean household travel time can be added as a subcategory of means of transport. Finally, all the races should be put together and adjusted under their race, gender, age, and class. A smaller data category is easier to manage and present using charts and graphs (Bearden, Netemeyer, & Haws, 2011).
References
Aaker, D. (2010). Marketing Research. Hoboken, NJ: John Wiley.
Bearden, W., Netemeyer, R., & Haws, K. (2011). Handbook of marketing scales: Multi-item measures for marketing and consumer behavior research. Thousand Oaks, California: SAGE.
Creswell, J., & John, W. (2009). Research design: Qualitative, quantitative, and mixed methods approach. Los Angeles: Sage.
Michael, G., & Earl R. (2011). Basics of Research Methods for Criminal Justice and Criminology. Belmont: Cengage Learning.