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.
Green Tree is a very small borough located in the state of Pennsylvania. With a population of 4,811 people and just one neighborhood, Green Tree is the 308th largest community in Pennsylvania.
Occupations and Workforce
Unlike some boroughs, Green Tree isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Green Tree are a mix of both white- and blue-collar jobs. Overall, Green Tree is a borough of professionals, managers, and sales and office workers. There are especially a lot of people living in Green Tree who work in management occupations (19.42%), healthcare (11.59%), and office and administrative support (10.06%).
Also of interest is that Green Tree 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 Green Tree telecommute to their jobs. Overall, about 22.46% 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 addition, Green Tree is home to many people who could be described as "urban sophisticates". Urban sophisticates are people who are both educated and wealthy, and thus tend to be older, richer, and more established than young professionals. "Urban sophisticates" is not just about being educated and well-off financially: it is a point of view and state of mind, one that you might call 'urbaneness'. But such people can and do regularly live in small towns, suburbs and rural areas, as well as in big cities. They read, support the arts and high-end shops, and love travel.
Green Tree is a good choice for families with children because of several factors. Many other families with children live here, making it a place where both parents and children are more likely to develop social ties with other families. The borough’s good public school district and large population of college-educated adults provide an environment conducive to academic success. Many people own their own single-family homes, providing areas for children to play and stability in the community. Finally, Green Tree’s overall crime rate is lower than average for the country.
In Green Tree, a lot of people use the bus to get to work every day though Green Tree is a relatively small borough. Those that ride the bus are primarily traveling out of town to good jobs in other cities.
Demographics
Green Tree is one of the most well-educated cities in the nation. 47.51% of adults in Green Tree have at least a bachelor's degree. Compare that to the average community in America, which has just 21.84% with a bachelor's degree or higher.
The per capita income in Green Tree in 2022 was $48,814, which is wealthy relative to Pennsylvania and the nation. This equates to an annual income of $195,256 for a family of four.
The people who call Green Tree home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Green Tree residents report their race to be White, followed by Asian. Important ancestries of people in Green Tree include German, Irish, Italian, Polish, and English.
The most common language spoken in Green Tree is English. Other important languages spoken here include Langs. of India and Spanish.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Green Tree, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
If you are planning to retire in Pennsylvania, this neighborhood should be on your must-see list. For many reasons, may be considered a retiree's dream neighborhood. According to NeighborhoodScout's exclusive analysis and metrics, it's peaceful and quiet, has above average safety from crime compared to other neighborhoods in Pennsylvania, while also offering a diverse range of housing options. This, along with the vibrant mix of very educated seniors and other age groups who choose to live here, makes the neighborhood more retiree-friendly than 96.5% of neighborhoods in PA. If a Pennsylvania retirement is in your future, this neighborhood should be one of the places you visit.
Diversity
Did you know that the neighborhood has more Yugoslav and Irish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.7% of this neighborhood's residents have Yugoslav ancestry and 27.0% have Irish 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 Green Tree are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 65.6% of the neighborhoods in America. In addition, 8.3% 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 55.2% 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, 54.5% 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 18.8% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (15.1%), and 11.6% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 91.3% of households.
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the neighborhood in Green Tree, PA, residents most commonly identify their ethnicity or ancestry as German (29.8%). There are also a number of people of Irish ancestry (27.0%), and residents who report Italian roots (19.1%), and some of the residents are also of Polish ancestry (8.8%), along with some English ancestry residents (7.4%), 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 (43.8% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (65.3%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (7.2%) . 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.
