Median real estate price in the Town Center of Oxford is $424,081, which is more expensive than 78.1% of the neighborhoods in Connecticut and 76.0% of the neighborhoods in the U.S.
The average rental price in Oxford Town Center is currently $2,342, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 84.3% of the neighborhoods in Connecticut.
Oxford Town Center is a suburban neighborhood (based on population density) located in Oxford, Connecticut.
Real estate in the Town Center of Oxford, CT is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Town Center neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
In Oxford Town Center, the current vacancy rate is 3.3%, which is a lower rate of vacancies than 84.5% of all neighborhoods in the U.S. This means that the housing supply in Oxford Town Center is very tight compared to the demand for property here.
When you see a neighborhood for the first time, the most important thing is often the way it looks, like its homes and its setting. Some places look the same, but they only reveal their true character after living in them for a while because they contain a unique mix of occupational or cultural groups. This neighborhood is very unique in some important ways, according to NeighborhoodScout's exclusive exploration and analysis.
Owner-occupied real estate dominates the Oxford Town Center neighborhood. In fact, according to NeighborhoodScout research, the percentage of residential real estate occupied by its owner is higher here than in 97.9% of neighborhoods in America.
In addition, one of the notable things about Oxford Town Center is that it is one of the quietest neighborhoods in America, according to NeighborhoodScout's exclusive analysis and quantitative rating of quietness. When you are here, you will find it to be very quiet. If quiet and peaceful are your cup of tea, you may have found a great place for you.
Our research reveals that 94.7% of commuters who live in the Oxford Town Center neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 97.0% of U.S. neighborhoods.
Did you know that the Oxford Town Center neighborhood has more Ukrainian and Polish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.8% of this neighborhood's residents have Ukrainian ancestry and 16.2% have Polish ancestry.
Some neighborhoods have more internal cohesiveness than others. While other neighborhoods feel like a collection of strangers who just happen to live near each other. Sometimes this comes down to not only the personalities of the people in a place, but how long people have been together in that neighborhood. NeighborhoodScout's research has revealed some interesting things about the rootedness of people in the Oxford Town Center neighborhood. More residents of the Oxford Town Center neighborhood live here today that also were living in this same neighborhood five years ago than is found in 98.4% of U.S. neighborhoods. This neighborhood is really made up of people who know each other, don't move often, and have lived here in this very neighborhood for quite a while.
There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.
The neighbors in the Town Center neighborhood in Oxford are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 89.1% of the neighborhoods in America. In addition, 1.5% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 84.4% of America's neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the Oxford Town Center neighborhood, 48.8% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 21.3% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (17.6%), and 12.3% in clerical, assistant, and tech support occupations.
The most common language spoken in the Oxford Town Center neighborhood is English, spoken by 89.8% of households.
Culture is the shared learned behavior of peoples. Undeniably, different ethnicities and ancestries have different cultural traditions, and as a result, neighborhoods with concentrations of residents of one or another ethnicities or ancestries will express those cultures. It is what makes the North End in Boston so fun to visit for the Italian restaurants, bakeries, culture, and charm, and similarly, why people enjoy visiting Chinatown in San Francisco.
In the Town Center neighborhood in Oxford, CT, residents most commonly identify their ethnicity or ancestry as Irish (23.2%). There are also a number of people of Italian ancestry (18.6%), and residents who report Polish roots (16.2%), and some of the residents are also of English ancestry (10.7%), along with some German ancestry residents (9.8%), among others.
How you get to work – car, bus, train or other means – and how much of your day it takes to do so is a large quality of life and financial issue. Especially with gasoline prices rising and expected to continue doing so, the length and means of one's commute can be a financial burden. Some neighborhoods are physically located so that many residents have to drive in their own car, others are set up so many walk to work, or can take a train, bus, or bike. The greatest number of commuters in Oxford Town Center neighborhood spend between 15 and 30 minutes commuting one-way to work (29.7% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (94.7%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (5.3%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2019 (latest available). Updated annually. Please note: Unemployment data updated May 2021.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
| School Details | Grades | Quality Rating Compared to CT* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Quaker Farms School
30 Great Oak Rd. Oxford, CT 06478 |
PK-02 | ||
|
Great Oak Middle School
50 Great Oak Rd. Oxford, CT 06478 |
06-08 | ||
|
Oxford Center School
462 Oxford Rd. Oxford, CT 06478 |
03-05 | ||
|
Oxford High School
61 Quaker Farms Rd. Oxford, CT 06478 |
09-12 | ||
| * 10 is highest | |||
Analytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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