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.
Wharton is a somewhat small borough located in the state of New Jersey. With a population of 7,245 people and just one neighborhood, Wharton is the 257th largest community in New Jersey.
Occupations and Workforce
Unlike some boroughs, Wharton isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Wharton are a mix of both white- and blue-collar jobs. Overall, Wharton is a borough of professionals, sales and office workers, and service providers. There are especially a lot of people living in Wharton who work in sales jobs (12.90%), maintenance occupations (10.92%), and office and administrative support (7.87%).
Setting & Lifestyle
One downside of living in Wharton is that it can take a long time to commute to work. In Wharton, the average commute to work is 30.37 minutes, which is quite a bit higher than the national average.
Demographics
The percentage of people in Wharton who are college-educated is somewhat higher than the average US community of 21.84%: 27.65% of adults in Wharton have at least a bachelor's degree.
The per capita income in Wharton in 2022 was $44,620, which is lower middle income relative to New Jersey, and wealthy relative to the rest of the US. This equates to an annual income of $178,480 for a family of four. However, Wharton contains both very wealthy and poor people as well.
Wharton is an extremely ethnically-diverse borough. The people who call Wharton home describe themselves as belonging to a variety of racial and ethnic groups. People of Hispanic or Latino origin are the most prevalent group in Wharton, accounting for 50.03% of the borough’s residents (people of Hispanic or Latino origin can be of any race). The greatest number of Wharton residents report their race to be White, followed by Asian. Important ancestries of people in Wharton include Italian, Irish, German, English, and Polish.
In addition, Wharton has a lot of people living here who were born outside of the US (33.56%).
The most common language spoken in Wharton is English. Other important languages spoken here include Spanish and Langs. of India.
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.
Diversity
Did you know that the neighborhood has more South American and Dominican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 26.7% of this neighborhood's residents have South American ancestry and 6.9% have Dominican ancestry.
is also pretty special linguistically. Significantly, 2.2% of its residents five years old and above primarily speak Vietnamese at home. While this may seem like a small percentage, it is higher than 95.0% of the neighborhoods in America.
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 neighborhood in Wharton are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 69.9% of the neighborhoods in America. With 27.6% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 78.6% of U.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 neighborhood, 34.0% 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 30.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (25.1%), and 10.9% in clerical, assistant, and tech support occupations.
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 neighborhood is English, spoken by 48.4% of households. Other important languages spoken here include Spanish, Langs. of India and Vietnamese.
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 Wharton, NJ, residents most commonly identify their ethnicity or ancestry as South American (26.7%). There are also a number of people of Italian ancestry (13.1%), and residents who report Irish roots (10.7%), and some of the residents are also of German ancestry (7.3%), along with some Asian ancestry residents (7.3%), among others. In addition, 33.6% of the residents of this neighborhood were born in another country.
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 30 and 45 minutes commuting one-way to work (30.3% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (79.7%) 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 (12.9%) . 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.
