This is a small community in a single neighborhood.
As throughout the site, some neighborhood-level data are reserved for subscribers.
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.
Oxford is a very small town located in the state of New Jersey. With a population of 1,033 people and just one neighborhood, Oxford is the 473rd largest community in New Jersey. Much of the housing stock in Oxford was built prior to World War II, making it one of the older and more historic towns in the country.
Occupations and Workforce
Unlike some towns, Oxford isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Oxford are a mix of both white- and blue-collar jobs. Overall, Oxford is a town of construction workers and builders, professionals, and service providers. There are especially a lot of people living in Oxford who work in management occupations (12.72%), office and administrative support (10.63%), and food service (8.37%).
Also of interest is that Oxford has more people living here who work in computers and math than 95% of the places in the US.
A relatively large number of people in Oxford telecommute to their jobs. Overall, about 9.34% of the workforce works from home. While this may seem like a small number, as a fraction of the total workforce it ranks among the highest in the country. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
Setting & Lifestyle
In Oxford, however, the average commute to work is quite long. On average, people spend 37.88 minutes each day getting to work, which is significantly higher than the national average.
Demographics
The percentage of adults in Oxford who are college-educated is close to the national average for all communities of 21.84%: 18.57% of the adults in Oxford have a bachelor's degree or advanced degree.
The per capita income in Oxford in 2022 was $56,575, which is middle income relative to New Jersey, and wealthy relative to the rest of the US. This equates to an annual income of $226,300 for a family of four. However, Oxford contains both very wealthy and poor people as well.
Oxford is a somewhat ethnically-diverse town. The people who call Oxford home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Oxford residents report their race to be White, followed by Black or African-American. Oxford also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 14.74% of the town’s residents. Important ancestries of people in Oxford include German, Irish, Italian, English, and Ukrainian.
The most common language spoken in Oxford is English. Other important languages spoken here include Spanish and Portuguese.
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
In a nation where 1 out of every 4 children lives in poverty, the neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
Diversity
Did you know that the neighborhood has more Brazilian and Ukrainian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.2% of this neighborhood's residents have Brazilian ancestry and 2.6% have Ukrainian ancestry.
The Neighbors
How wealthy a neighborhood is, from very wealthy, to middle income, to low income is very formative with regard to the personality and character of a neighborhood. Equally important is the rate of people, particularly children, who live below the federal poverty line. In some wealthy gated communities, the areas immediately surrounding can have high rates of childhood poverty, which indicates other social issues. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the neighborhood in Oxford are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 77.6% 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.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the neighborhood, 39.1% 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 27.9% 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 14.4% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 89.9% of households. Some people also speak Spanish (7.5%).
Ethnicity / Ancestry
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture – our learned behavior – comes from our ancestors. That is why ancestry and ethnicity can be so interesting and important to understand: places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. Even different neighborhoods in the same city can have drastically different cultures.
In the neighborhood in Oxford, NJ, residents most commonly identify their ethnicity or ancestry as Irish (20.0%). There are also a number of people of German ancestry (19.5%), and residents who report Italian roots (14.7%), and some of the residents are also of English ancestry (10.3%), along with some Polish ancestry residents (6.1%), among others.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in neighborhood spend between 45 minutes and one hour commuting one-way to work (32.0% of working residents), longer and tougher than most commutes in America.
Here most residents (81.1%) 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 (6.5%) . 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.
