Brookfield Connecticut Media sales Prices Over the last 19 years.
A Connecticut Market Analysis created by 
InfoSparks. Infosparks is a housing market research tool designed specifically for ease of use, fast analysis and simple sharing. We are going to be comparing values over nearly 2 decades. In that analysis we will be using media prices. Keep in mind that “median pricing” doesnt mean that your particular home is worth more or less compared to the %. The statistics are live and updated daily, so come back to keep an eye on the market.
Call or text Steve Schappert today to buy, sell or invest in Connecticut Real Estate. 203-994-3950 Steve Schappert is the broker at Connecticut Real Estate. Steve has been, repairing, renovating, building and selling homes for 44 years. At 14 Steve framed, sheet rocked, wired and installed the carpet in his parents basement increasing the square footage of the home by 320 sf. Steve knows houses.
True Comparisons Real Estate Values, Real Life Stories
1n 2006 my fathers home in Brookfield CT was appraised for $650,000. Two years later he sold it for $375,000, a quick CMA shows that the home is worth approximately $545,000. In short we haven’t quite reached the value we were at in 2006. Most of the country has recovered, surpassed and fallen again. Connecticut is unique and not likely to fall any time soon. I anticipate moderate rises in interest and prices. Many first time buyers may be locked out of the market by waiting for the next down turn. Incomes are not likely to keep pace with the increased carrying costs of buying a more expensive home with a higher interest rate.
“In statistics and probability theory, the median is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution. For a data set, it may be thought of as “the middle” value. The basic feature of the median in describing data compared to the mean (often simply described as the “average”) is that it is not skewed by a small proportion of extremely large or small values, and therefore provides a better representation of a “typical” value. Median income, for example, may be a better way to suggest what a “typical” income is, because income distribution can be very skewed. The median is of central importance in robust statistics, as it is the most resistant statistic, having a breakdown point of 50%: so long as no more than half the data are contaminated, the median is not an arbitrarily large or small result.” – Wiki