61 Chevas Road, Avon

If you’re looking for an open floor plan with plenty of natural light and space for both formal and informal living, look no further. 61 Chevas is a contemporary split level with space for today’s living style. Inside, the tiled entry foyer opens to the family room space which boasts hardwood floors, a wood burning fireplace, and a wall of slider doors overlooking the lower deck and back yard. There is also the laundry room,

15 River Mead, Avon

Move right into this updated townhouse in the River Mead community of Avon. The main level features an updated kitchen with Corian counters and stainless appliances. A comfortable living room includes a fireplace, and a slider out to a deck facing the woods. There is a formal dining room and an updated powder room. Upstairs the master bedroom includes double closets and an updated en-suite bathroom with heated floor. The second bedroom also has an

The Rural Life

Three Deer

Greater Hartford has a lot of residential development in rural areas that had previously been forest or farm land. It’s common to hear stories of wildlife walking through the yards of homeowners. Bear sightings are scary – they are big animals and can do some damage. Other animals are cute or exotic or majestic depending on their size and how rare it is to see them. While driving through the western part of Avon, in

Town-by-Town Sales Data for 2013

2013 Year End Single-Family Stats by Town

Last week we published some charts showing the direction of the overall single-family market in Hartford County for 2013. The quick summary was that sales activity has been increasing nicely for two years, but median prices have been stuck in a protracted valley. The data tells a variety of different stories when we zoom in to the individual towns. Before we get there though, a quick disclaimer. It’s difficult to take too strong a position

2013 Year End Data Review

2014-01-09 Hartford County Single-Family Transaction 2013

Most of the year we avoid looking at prices when we analyze market statistics. Considering only a month’s (or even quarter’s) worth of data is risky because the sample size is too small, while making a more sophisticated model to account for the small sample size is beyond our abilities. However we are comfortable looking at a full year of data, and now that the calendar has turned over to 2014 we can look back