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.
Orbisonia is a tiny borough located in the state of Pennsylvania. With a population of 447 people and just one neighborhood, Orbisonia is the 1003rd largest community in Pennsylvania. Orbisonia has an unusually large stock of pre-World War II architecture, making it one of the older and more historic boroughs.
Occupations and Workforce
Unlike some boroughs where white-collar or blue-collar occupations dominate the local economy, Orbisonia is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Orbisonia is a borough of professionals, managers, and construction workers and builders. There are especially a lot of people living in Orbisonia who work in teaching (22.22%), management occupations (19.14%), and food service (6.17%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 17.28% of the workforce. While this number may seem small overall, as a fraction of the total workforce this is high compared to the rest of the county. 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
As is often the case in a small borough, Orbisonia doesn't have a public transportation system that people use for their commute.
Demographics
The education level of Orbisonia citizens is substantially higher than the typical US community, as 29.59% of adults in Orbisonia have at least a bachelor's degree.
The per capita income in Orbisonia in 2022 was $24,005, which is low income relative to Pennsylvania and the nation. This equates to an annual income of $96,020 for a family of four. However, Orbisonia contains both very wealthy and poor people as well.
The people who call Orbisonia home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Orbisonia residents report their race to be White, followed by Black or African-American. Important ancestries of people in Orbisonia include German, Italian, Irish, Scots-Irish, and English.
The most common language spoken in Orbisonia is English. Other important languages spoken here include Italian and Polish.
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.
Length of Commute
Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 12.7% 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 97.6% of all neighborhoods in America.
Real Estate
Uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 43 residents per square mile, is less crowded than 90.5% 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 neighborhood in Orbisonia are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 64.8% of U.S. neighborhoods. With 17.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 64.2% of U.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, 33.9% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 32.8% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (21.8%), and 9.3% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.1% of households. Some people also speak Italian (4.5%).
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 Orbisonia, PA, residents most commonly identify their ethnicity or ancestry as German (28.7%). There are also a number of people of Irish ancestry (12.0%), and residents who report Italian roots (6.0%), and some of the residents are also of English ancestry (5.7%), along with some Scots-Irish ancestry residents (2.7%), 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 30 and 45 minutes commuting one-way to work (25.7% 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 (12.7%) who commute over an hour in each direction.
Here most residents (76.5%) 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 (14.3%) . 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.
