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.
Central Business District / Point Park University median real estate price is $464,652, which is more expensive than 74.7% of the neighborhoods in Pennsylvania and 58.9% of the neighborhoods in the U.S.
The average rental price in Central Business District / Point Park University is currently $2,410, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 80.2% of the neighborhoods in Pennsylvania.
Central Business District / Point Park University is an urban neighborhood (based on population density) located in Pittsburgh, Pennsylvania.
Central Business District / Point Park University real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and small apartment buildings. Most of the residential real estate is renter occupied. Many of the residences in the Central Business District / Point Park University neighborhood are relatively historic, built no later than 1939, and in some cases, quite a bit earlier. A number of residences were also built between 1940 and 1969.
Vacant apartments or homes are a major fact of life in Central Business District / Point Park University. The current real estate vacancy rate here is 27.3%. This is higher than the rate of vacancies in 93.3% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
Notable & Unique Neighborhood Characteristics
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
People
In a nation where 1 out of every 4 children lives in poverty, the Central Business District / Point Park University neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
In addition, an extraordinary 34.8% of the residents of the Central Business District / Point Park University neighborhood are currently enrolled in college. This is such a large part of life in this neighborhood that the neighborhood changes a great deal with the change of semesters and is far quieter during the summer when many students are away.
Also, of particular note, 4.0% of the people in the Central Business District / Point Park University neighborhood currently reside in a correction facility, held due to punishment for a crime.
Modes of Transportation
In the Central Business District / Point Park University neighborhood, walking to work is a real option for many. In fact, NeighborhoodScout's exclusive research reveals walking to and from work is the chosen way to commute for 54.1% of residents here. This is a higher proportion of walking commuters than we found in 99.9% of American neighborhoods. Get ready to put on your walking shoes if you move here!
Real Estate
The Central Business District / Point Park University neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 94.5% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
In addition, one of the really unique and interesting things about the look and setting of the Central Business District / Point Park University neighborhood is that it is almost entirely dominated by large apartment buildings, such as apartment complexes or high-rise apartments. 91.3% of the residential real estate here is classified as such. This puts this neighborhood on the map as having a higher proportion of large apartment buildings than 98.4% of all neighborhoods in America.
Furthermore, 90.2% of the real estate in the Central Business District / Point Park University neighborhood is occupied by renters, which is nearly the highest rate of renter occupancy of any neighborhood in America.
Car Ownership
American households most often have a car, and regularly they have two or three. But households in the Central Business District / Point Park University neighborhood buck this trend. 36.9% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 97.9% of U.S. neighborhoods.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the Central Business District / Point Park University neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 58.8% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 95.6% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Migration / Stability
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. In the Central Business District / Point Park University neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 98.5% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
Diversity
Did you know that the Central Business District / Point Park University neighborhood has more Slovak ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.3% of this neighborhood's residents have Slovak ancestry.
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 Central Business District / Point Park University 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 69.1% of the neighborhoods in America. In addition, 0.0% 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 100.0% of America's neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the Central Business District / Point Park University neighborhood, 54.6% 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 28.7% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (13.7%), and 3.0% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Central Business District / Point Park University neighborhood is English, spoken by 87.3% of households. Some people also speak Spanish (3.6%).
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 Central Business District / Point Park University neighborhood in Pittsburgh, PA, residents most commonly identify their ethnicity or ancestry as German (22.3%). There are also a number of people of Irish ancestry (18.2%), and residents who report Italian roots (16.4%), and some of the residents are also of Asian ancestry (11.1%), along with some English ancestry residents (7.5%), 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 Central Business District / Point Park University neighborhood spend under 15 minutes commuting one-way to work (58.8% of working residents), one of the shortest commutes across America.
Here most residents (54.1%) hop out the door and walk to work to get to work. In addition, quite a number also drive alone in a private automobile to get to work (18.2%) and 9.3% of residents also ride the bus for their daily commute. This is a special neighborhood for the number of people who walk to work. Combining exercise, low cost, and reduced pollution, plus the chance to see your neighbors, walking to work is fairly uncommon in America but likely to increase as people try to reduce their dependence on automobiles, and this neighborhood offers that opportunity today.
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.
