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.
Keown median real estate price is $357,557, which is more expensive than 66.8% of the neighborhoods in Pennsylvania and 48.9% of the neighborhoods in the U.S.
The average rental price in Keown is currently $2,370, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 78.5% of the neighborhoods in Pennsylvania.
Keown is a suburban neighborhood (based on population density) located in Pittsburgh, Pennsylvania.
Keown real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Keown neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Keown are 3.6%, which is lower than one will find in 76.1% of American neighborhoods. Demand for real estate in Keown is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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 Pittsburgh, the Keown neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
The Keown neighborhood stands out within Pennsylvania for its college student friendly environment. NeighborhoodScout's analysis reveals that this neighborhood is home to a number of college students, is relatively walkable, and above average in safety. In combination, this makes it stand out for a good place for college students to consider. Because a number of college students live here, this neighborhood may be close to a college campus and offer certain amenities nearby geared towards the student body. While it's not an environment for everyone, ambitious scholars can enjoy seasonal excitement between semesters and school breaks, and parents can rest easy knowing that the area has an above average safety rating. For each of these reasons, the neighborhood is rated among the top 9.2% of college-friendly places to live in PA. In addition to being an excellent choice for college students, this neighborhood is also a very good choice for families with school-aged children and urban sophisticates.
Diversity
Did you know that the Keown neighborhood has more Croatian and Slovak ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.2% of this neighborhood's residents have Croatian ancestry and 2.7% have Slovak ancestry.
Keown is also pretty special linguistically. Significantly, 11.8% of its residents five years old and above primarily speak Polish at home. While this may seem like a small percentage, it is higher than 98.7% 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 Keown neighborhood in Pittsburgh are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 77.8% of the neighborhoods in America. In addition, 2.7% 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 72.6% 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 Keown neighborhood, 62.7% 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 17.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (11.0%), and 8.9% 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 Keown neighborhood is English, spoken by 86.7% of households. Other important languages spoken here include Polish, Chinese, Arabic and French.
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 Keown neighborhood in Pittsburgh, PA, residents most commonly identify their ethnicity or ancestry as German (29.1%). There are also a number of people of Italian ancestry (21.2%), and residents who report Irish roots (19.5%), and some of the residents are also of English ancestry (10.9%), along with some Polish ancestry residents (7.9%), 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 Keown neighborhood spend between 15 and 30 minutes commuting one-way to work (29.4% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (78.9%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (6.8%) . 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.
