The purpose of this assignment is for you to apply the concepts and information that you have learned in this unit about the position of a Community Fire and Risk Prevention Officer. This assignment provides you with the opportunity to use your skills, expertise, and experience to enrich your response when compiling data that will be used for risk reduction within the community. You will need to consider several components or elements of research and data gathering.
The outcome of your research will provide you with two profiles: demographic and risk. In order to develop a course of action to be undertaken in an effort to reduce risk, you must first gather sufficient data relative to the demographics of your community. Once you have gathered and analyzed the demographics, you will move to the second component of identifying both types of risks: human-created and naturally-created.
This project requires you to act in the position of Community Fire and Risk Prevention Officer. Your final analysis and narration should be written in a professional and educated format, as this paper might be presented to public and private organizations, which have input and/or responsibility for pre-planning, preparedness, and mitigation of potential risks and their outcome as it effects the community.
Part A: Identify your community's demographic profile. Click here to visit the United States Census Bureau's webpage. In the center of the opening page, you will find a box with the title "Quick Facts." Inside the Quick Facts box is a drop-down menu titled, "Select a state to begin." Click on the drop-down menu, and select your respective state of residence. On the next page, you will find two drop-down boxes, one for all counties, and the other for all cities/towns in your state.
First, select your county of residence. Then, using a Word document, identify all of the characteristics of a Demographic Profile as found on page 229 of the textbook. There are three primary headings: Housing/Location, People, and Economic Information. Within these three, there are 16 sub-characteristics. Locate the data associated, or as closely associated, to each of the sixteen sub-characteristics, and create a demographic profile. Here is an example of how our outcome might look: