Home Simulation Assignment

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Objective: Given a demographic profile of a Hartford family, how would you obtain information and make decisions about buying versus renting in the city or surrounding suburbs, and the type of school your child would attend?

For this particular home simulation assignment, I found my results somewhat unsettling. To begin, I calculated an appropriate home price that my family could afford given the current economic situation (anywhere between conservatively $127,638.63 and aggressively $143,227.27). To my surprise, I found many homes in surrounding suburbs that were within this budget; however, the qualities of life were entirely lacking compared to wealthier areas of the state.

One part of the assignment entailed doing some research on the schools my children would be able to attend if we decide to move to one of these suburbs (Manchester, Windsor Locks, E. Windsor, and Bloomfield). To begin, Manchester has 29 schools that are located within its district. However, after having visited the online journal of “Manchester Patch,” I regretfully discovered that the 2012 CMT and CAPT test scores fell under the state average level in both proficiency and goal. The author of the article argued that a significant contributor in these results pertains to the lack of funding that is invested into the school. Unfortunately, this poor performance in both the CAPT and CMT scores seemed to be a trend within all of the other potential school districts (Windsor Locks, E. Windsor, and Bloomfield) I picked out for my family.  Additionally, I feel as though the arts are imperative for a child’s success in the world and thus I found it essential that the school I choose to send my children to has an adequate arts program. Unfortunately, the arts suffered coincidently with the suffered budget. Most of the schools offered a mere arts class or an afterschool choral group. This did not seem fit.

This particular assignment was incredibly eye opening in terms of how unjust the public educational system of Connecticut (as well as in other states of America) is. I obtained a large amount of the data I used for my project from the website, www.schooldigger.com. This website was essentially a guide to all of the schools in Connecticut—their rankings, student and parent reviews, and scores—which in effect give great insight into the qualities of life of each respected district. To my dismay, the trends in the rankings reflected the economic status of each town. All of the schools that were located within Fairfield County (arguably one of the wealthiest counties in the state) dominated the “Top 10 Schools in the State” list. It is undeniable that there is a significant discrepancy in the funding to the schools that are not as affluent. It is terrible to think that a child must sacrifice his or her level of education simply because of financial matters. Children should not be brought into the world neither at a disadvantage nor at an advantage, simply because of the socio-economic status in which they were born into.

 

Housing Simulation Results and Reflection

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Results and Reflection:

The home buying simulation exposed me to the world of home ownership and mortgages. I realized that finding a home involves considering other factors besides how many bedrooms the home contains and what the home looks like on the outside. I was able to experience how it feels to look for a home with having to consider the quality of life and education that I would like to give “my children.”  In addition, I was able to compare the cost of homes in areas around Hartford. In the process, I discovered which areas had a higher cost of living, as well as, whether or not the housing was well maintained. More importantly, I was exposed to the correlation between the neighborhood one lives in and the school districts that their children attend. For example, had my family chosen to live in a $264,000 home in Glastonbury, CT, my two children would attend a school district that has three magnet schools (one for each grade range), has 2011 CMT testing scores in which 90% of students were at/above the goals, and has a strategy to include parents, community, and staff in the education of the children. Whereas, if my family had chosen to live in a $129,000 home in New Britain, CT, then my two children would be able to attend school in a school district that has one elementary magnet school, has 2012 CMT scores that rank them at 7th among other districts with 20-30% at/above the goals, and has a summer program based on literacy. Overall, I learned that higher priced suburban homes are correlated with school districts that are more improved and have more options for schooling. I believe this is related to the neighborhood the housing is available in, as well as, the income of the residents, and how suburbs with higher priced living are often able to afford higher priced educations for the children.

In order to make the housing simulation capable on the web, one might consider creating a form on a webpage. This form could then be filled in with appropriate information depending on the student’s scenario. The student can use a calculator on the computer to make necessary calculations or use the calculators that are provided online. Making the links available on a single webpage (instead of in a separate Word document) would also be an option.

 

Please click here to view my completed housing simulation.

Housing Simulation Results and Reflection

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Results and Reflection:

The home buying simulation exposed me to the world of home ownership and mortgages. I realized that finding a home involves considering other factors besides how many bedrooms the home contains and what the home looks like on the outside. I was able to experience how it feels to look for a home with having to consider the quality of life and education that I would like to give “my children.”  In addition, I was able to compare the cost of homes in areas around Hartford. In the process, I discovered which areas had a higher cost of living, as well as, whether or not the housing was well maintained. More importantly, I was exposed to the correlation between the neighborhood one lives in and the school districts that their children attend. For example, had my family chosen to live in a $264,000 home in Glastonbury, CT, my two children would attend a school district that has three magnet schools (one for each grade range), has 2011 CMT testing scores in which 90% of students were at/above the goals, and has a strategy to include parents, community, and staff in the education of the children. Whereas, if my family had chosen to live in a $129,000 home in New Britain, CT, then my two children would be able to attend school in a school district that has one elementary magnet school, has 2012 CMT scores that rank them at 7th among other districts with 20-30% at/above the goals, and has a summer program based on literacy. Overall, I learned that higher priced suburban homes are correlated with school districts that are more improved and have more options for schooling. I believe this is related to the neighborhood the housing is available in, as well as, the income of the residents, and how suburbs with higher priced living are often able to afford higher priced educations for the children.

In order to make the housing simulation capable on the web, one might consider creating a form on a webpage. This form could then be filled in with appropriate information depending on the student’s scenario. The student can use a calculator on the computer to make necessary calculations or use the calculators that are provided online. Making the links available on a single webpage (instead of in a separate Word document) would also be an option.

 

Please click here to view my completed housing simulation.

Home Buying Simulation Reflection

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This home buying simulation I felt has given me the opportunity to research possible residential venues all throughout Connecticut suburbs solely based on a specific given criteria. I was assigned the Family Profile #3 which consisted of two children (grades 3 & 6) currently enrolled in Hartford Public schools. Financially this profile contained an annual gross income of $30,000, $5,000 in savings (for a down payment), a car, and monthly debt payments of $100 for my car. With all this given information I was able to use an internet mortgage affordability calculator to estimate the purchase price of an affordable house given my specific statue of limitations. The results presented were essentially a bracket of the minimum and maximum values in:

House price:                                             $87,007.43 – $114,844.30

Loan amount:                                          $82,007.43 – $109,844.30

Monthly mortgage payment:               $368.25 – $493.23

Taxes/homeowner insurance:            $331.25 – $331.75

Total monthly payment:                        $760.00 – $825.00

*This information was obtained on http://cgi.money.cnn.com/tools/houseafford/houseafford.html

After completing this I was provided with maximum and minimum prices I would be able to afford given my circumstances. Then I started searching the suburban towns in Connecticut to see what was available. It was researching that I came across some interesting realizations. I found it interesting that when I plugged in my minimum and maximum into some search engines not a single result appeared that matched my information instead the cheapest venue would pop up and they would start at about 250,000. For example when I plugged in my info searching in the town of Darien the cheapest house was 449,000. I was fortunate to have found adequate housing in Bristol, Danbury, Tolland, Cheshire, Killingworth, New Milford, Newtown, Southbury, and Southington. All the other suburbs were too expensive and did not my financial demands. Another facet of this simulation that I found interesting was that some places being sought out for rental required that you call to inquire a rental price.

**Homes for purchase information was gained from: http://www.househunt.com/community-living/types.php?st=CT&type=SU

***Homes for rental information was gained from: http://www.prudentialct.com/rentals-apartment-houses.asp

The Final step of this simulation was trying to find out the quality of education in some of the towns where housing was available and affordable. I referred to http://www.frontdoor.com to find figures and facts pertaining to educational achievement in Bristol, Killingworth, Southbury, and Tolland. Then I compared them to those of Hartford. All of these suburban towns had higher percentage of obtaining an Associates degree, a Bachelors degree, and Masters degree then Hartford. Also Hartford has a high percentage of less then ninth grade education attainment compared to these cities and that national average. This data shows that Hartford has a lower quality of educational achievement however I feel this is also a direct result of property values and how much money is truly invested in education and in  obtaining adequate resources for success.