What do we mean by a neighborhood?
NeighborhoodScout® uses the official government designation for neighborhoods - the census tract.
Census tracts are small, relatively permanent subdivisions of a county that are defined by the U.S. Census Bureau in conjunction with local authorities all across the country to define real neighborhoods that are bounded to contain areas with homogeneous population characteristics (including economic status, lifestyle, and living conditions). Census tracts usually have 4,000 persons, but can range between 1,500 and 8,000 persons. This is the most fine-grained area for which detailed information is made available from the government, to protect the individual privacy of each of us. Because census tracts are based on population, they vary in size depending on the density of settlement. In urban areas, they are small, and in rural areas they can cover an entire small town or even a few small towns in very rural areas.
Since census tracts are subdivisions of a county, we did a spatial overlay of the census tracts onto city and town boundaries using a geographic information system to properly assign each census tract to its appropriate city or town. Then we named each census tract to the local colloquially recognized neighborhood name for that spot (e.g., Boston, MA (Dorchester). If there was not a name available, we named the census tract by the largest street intersection in the census tract (e.g., Worcester, MA (Lincoln St/Plantation St)
Why we don't use Zip Codes as neighborhoods
Zip codes were developed by the Postal Service for the purpose of delivering mail, but were never intended to define coherent neighborhoods. In addition, Zip Codes can have as many as 10 distinctly different census tracts contained within them. When distinct census tracts are blended together in a single Zip Code, the data reflects their average conditions and often gives a false sense of the area. The result is that potentially great matching neighborhoods can be missed, and erroneous matches can also be produced and delivered to you.
Using census tracts makes great matches possible, and helps people find the areas that are best for them and their families. Because we are committed to providing the highest possible quality and finding the neighborhoods that best meet your criteria, we use census tracts. And, as always, we show you the actual street map of the neighborhood so you know exactly where your best matching neighborhood is located.
What is a Condition Alert?
A condition alert is a condition in the neighborhood that triggers an alert. NeighborhoodScout contains condition alerts to highlight conditions that are extreme, whether good or bad. This helps answer crucial questions about the state of the neighborhood being evaluated, such as:
What are the risks of violent crime here?
Is the risk of home break-ins or other property crimes increasing?
Does real estate here hold its value?
Are the trends in local vacancies or unemployment concerning?
...and dozens more.
Information at a glance that you need to know to invest, appraise or finance a property.
Median real estate price in the Town Center of Dayton is $669,405, which is more expensive than 65.2% of the neighborhoods in New Jersey and 78.8% of the neighborhoods in the U.S.
The average rental price in Dayton Town Center is currently $3,851, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 75.2% of the neighborhoods in New Jersey.
Dayton Town Center is a suburban neighborhood (based on population density) located in Dayton, New Jersey.
Real estate in the Town Center of Dayton, NJ is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) townhomes and single-family homes. 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 Dayton Town Center, the current vacancy rate is 0.8%, which is a lower rate of vacancies than 91.9% of all neighborhoods in the U.S. This means that the housing supply in Dayton Town Center is very tight compared to the demand for property here.
Notable & Unique Neighborhood Characteristics
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.
People
Of note is NeighborhoodScout's research finding that the Dayton Town Center neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the Dayton Town Center community truly stands out from the rest in this regard.
In addition, the rate of college educated adults in the Dayton Town Center neighborhood is a unique characteristic of the neighborhood. 73.5% of adults here have received at least a 4-year bachelor's degree, compared to the average neighborhood in America, which has 34.3% of the adults with a bachelor's degree. The rate here is higher than NeighborhoodScout found in 95.5% of all U.S. neighborhoods.
Real Estate
If you love row houses and attached homes, you will probably really like the Dayton Town Center neighborhood. The ambiance, the charm, of row houses is something special. And in sheer abundance of row houses, this neighborhood truly stands out. The real estate here has a higher proportion of row houses and attached homes than nearly any neighborhood in America. In fact, 44.7% of the residential real estate here is classified as row houses and attached homes.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the Dayton Town Center neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 14.4% of commuters here travel more than one hour just one-way to work. That is more than two hours per day. This percentage with two-hour + round-trip commutes is higher than NeighborhoodScout found in 98.4% of all neighborhoods in America.
Diversity
Did you know that the Dayton Town Center neighborhood has more Asian and Hungarian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 55.3% of this neighborhood's residents have Asian ancestry and 3.6% have Hungarian ancestry.
Dayton Town Center is also pretty special linguistically. Significantly, 16.6% of its residents five years old and above primarily speak Langs. of India at home. While this may seem like a small percentage, it is higher than 99.8% of the neighborhoods in America.
Migration / Stability
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. What is interesting to note, is that the Dayton Town Center neighborhood has a greater percentage of residents born in another country (45.6%) than are found in 96.3% of all U.S. neighborhoods.
The Neighbors
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 Dayton 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 90.9% of the neighborhoods in America. In addition, 0.0% 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 100.0% of America's neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the Dayton Town Center neighborhood, 65.5% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 16.5% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (12.8%), and 6.5% in government jobs, whether they are in local, state, or federal positions.
Languages
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the Dayton Town Center neighborhood is English, spoken by 44.2% of households. Other important languages spoken here include Langs. of India, Chinese, Spanish and Arabic.
Ethnicity / Ancestry
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 Dayton, NJ, residents most commonly identify their ethnicity or ancestry as Asian (55.3%). There are also a number of people of Irish ancestry (8.5%), and residents who report English roots (5.9%), and some of the residents are also of Hungarian ancestry (3.6%), along with some Polish ancestry residents (3.3%), among others. In addition, 45.6% of the residents of this neighborhood were born in another country.
Getting to Work
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 Dayton Town Center neighborhood spend between 30 and 45 minutes commuting one-way to work (37.5% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods. However, there is also a significant group of residents (14.4%) who commute over an hour in each direction.
Here most residents (67.4%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus 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.
SCOUT’s patented match algorithm identifies the most similar neighborhoods to a subject location, and quantifies the similarity to the subject location. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research.
The algorithm uses 273 neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity. This captures the true culture and character of locations, economic conditions, and trends.
The closer to 100% means the locations are nearly identical. 80% is a very good, but not excellent match, and so forth.
