This is a small community in a single neighborhood.
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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.
Exeter is a somewhat small borough located in the state of Pennsylvania. With a population of 5,524 people and just one neighborhood, Exeter is the 268th largest community in Pennsylvania.
Occupations and Workforce
Unlike some boroughs where white-collar or blue-collar occupations dominate the local economy, Exeter is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Exeter is a borough of service providers, professionals, and managers. There are especially a lot of people living in Exeter who work in management occupations (13.20%), teaching (9.94%), and sales jobs (9.86%).
Setting & Lifestyle
It is a fairly quiet borough because there are relatively few of those groups of people who have a tendency to be noisy. (Children, for example, often can't help themselves from being noisy, and being parents ourselves, we know!) Exeter has relatively few families with children living at home, and is quieter because of it. Renters and college students, for their own reasons, can also be noisy. Exeter has few renters and college students. But the biggest reason it is quieter in Exeter than in most places in America, is that there are just simply fewer people living here. If you think trees make good neighbors, Exeter may be for you.
As is often the case in a small borough, Exeter doesn't have a public transportation system that people use for their commute.
Demographics
The population of Exeter overall has a level of education that is slightly above the US average for all US cities and towns of 21.84%. Of adults 25 and older in Exeter, 22.23% have at least a bachelor's degree.
The per capita income in Exeter in 2022 was $36,842, which is upper middle income relative to Pennsylvania and the nation. This equates to an annual income of $147,368 for a family of four. However, Exeter contains both very wealthy and poor people as well.
The people who call Exeter home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Exeter residents report their race to be White. Important ancestries of people in Exeter include Italian, Polish, Irish, German, and Russian.
The most common language spoken in Exeter is English. Other important languages spoken here include Spanish and Slavic languages.
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 Lithuanian and Polish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 4.0% of this neighborhood's residents have Lithuanian ancestry and 22.4% have Polish 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 Exeter are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 65.5% of U.S. neighborhoods. With 12.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 55.9% 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, 39.1% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 29.3% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (22.8%), and 8.6% in government jobs, whether they are in local, state, or federal positions.
Languages
The most common language spoken in the neighborhood is English, spoken by 96.6% of households.
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 neighborhood in Exeter, PA, residents most commonly identify their ethnicity or ancestry as Italian (30.1%). There are also a number of people of Polish ancestry (22.4%), and residents who report Irish roots (21.8%), and some of the residents are also of German ancestry (11.6%), along with some Russian ancestry residents (6.7%), among others.
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 neighborhood spend between 15 and 30 minutes commuting one-way to work (35.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (77.9%) 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 (9.2%) and 5.8% of residents also hop out the door and walk to work for their daily commute. 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.
