Statistical Data Analysis Essay

880 Words4 Pages
REPORT REVIEW AND ANALYSIS

Renika Hendry
CTU-Online
Applied Managerial Decision-Making
MGMT 600
Phase 2 Individual Project
Instructor: Joseph Cappa
10/14/10

Abstract

With the National Sales meeting approaching, the Marketing department is requiring that every Regional Sales Manager do a short presentation to highlight how the consumers in their region don’t compare to the rest of the consumers in the whole United States. Since I am still working with the local Regional Sales Manager I am going to prepare a two-page memo that will explain how my territory is different from other territories nationally. I will do this by utilizing reports obtained from the American Marketing Association website, which include general and
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The percentage for never married was 54.20 in Chicago, and 27.10% in the entire U.S. There is also a major difference in the transportation category. The 2000 statistics showed that more people drove alone in the entire U.S. with a percentage of 75.70, than they did in the 60614 zip code with a percentage of 39.50.

Census Trend-Findings

Population. The population from 1980 to 2000 was majorly different in the 60614 zip code than in the entire U.S. The population in Chicago was: * 1980 – 57,441 * 1990 – 61,469 * 2000 – 64,637
In the entire United States, the population was: * 1980 – 224,811,135 * 1990 – 248,710,012 * 2000 – 281,421,906
The total percentage change from 1980 to 2000 in the 60614 zip code was 12.20%, and 23.80% in the entire U.S.

Household Income. The statistical data from AMA showed that more people had a higher income or had income coming into their house in the 60614 zip code than all of the citizens combined in the U.S. The average household income in Chicago was: * 1980 – $24,245 * 1990 – $67,607 * 2000 – $69,311
The average household income in the entire U.S. was: * 1980 – $20,382 * 1990 – $38,464 * 2000 – $56,643

Occupation-Findings

Employment. The employment data in Chicago from 1990 to 2000 was very different than it was for the entire U.S. Statistics showed that more people were employed, unemployed, or in
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