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.
Columbus Park median real estate price is $102,412, which is less expensive than 94.1% of Pennsylvania neighborhoods and 95.0% of all U.S. neighborhoods.
The average rental price in Columbus Park is currently $1,244, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 84.8% of Pennsylvania neighborhoods.
Columbus Park is a suburban neighborhood (based on population density) located in Erie, Pennsylvania.
Columbus Park real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) small apartment buildings and single-family homes. Most of the residential real estate is renter occupied. Many of the residences in the Columbus Park 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 Columbus Park. The current real estate vacancy rate here is 16.3%. This is higher than the rate of vacancies in 81.8% 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
One of the unique characteristics of the Columbus Park neighborhood revealed by analysis is that the per capita income of residents here is lower than that found in 98.7% of the neighborhoods in America. The Columbus Park neighborhood also has a greater percentage of children living in poverty (91.8%) than found in 99.8% of all U.S. neighborhoods. Children living in poverty is one of the challenges facing America, and the world, and in this neighborhood in particular, the problem can be considered acute.
Real Estate
Corner bodegas, stores on the first floor and apartments above, former grand Victorian residences converted into apartments, three-deckers built shoulder-to-shoulder, duplexes. Such building types define the real estate of neighborhoods dominated by small 2, 3, and 4 unit apartment buildings. Many are in older core neighborhoods of Eastern and Midwestern cities, or historic town centers in their hinterlands. If you wax romantic about the look and feel of such neighborhoods, with fresh pizza, falafel and an independent florist at the corner, then you might find the Columbus Park neighborhood worth a close look. This neighborhood is an absolutely outstanding example of the dominance of small 2, 3, and 4 unit apartment buildings compared to neighborhoods across the nation, as they make up a substantial portion of this neighborhood's real estate stock. In fact, no less than 62.0% of the real estate here is made up of such dwellings, which is higher than 99.4% of all U.S. neighborhoods.
In addition, do you watch 'This Old House' on Public Television? Do you love the idea of fixing up a Colonial or Victorian era home, complete with the charm of yesteryear? Do you like to stroll or drive streets lined with gracious older residences? If you found yourself nodding yes to any of these questions, you are going to be interested in this unique neighborhood. The Columbus Park neighborhood stands out on a national scale for the sheer concentration of historic residences it contains: 67.3% of the residential real estate here was built from 1939 or earlier, some much earlier. This is a greater concentration of historic homes than 98.2% of the neighborhoods in the United States.
Modes of Transportation
More people in Columbus Park choose to walk to work each day (20.7%) than almost any neighborhood in America. If you are attracted to the idea of being able to walk to work, this neighborhood could be a good choice.
Also, our research revealed that more commuters here take the bus to work (13.6% ride the bus) than 97.0% of all American neighborhoods. If you like the idea of leaving your car and home and hopping the bus to work, this might be a good neighborhood for you to consider.
Car Ownership
Most American households own a car or other vehicle. Many own two cars or perhaps three. In the United States, it is useful to have an automobile not only for commuting, but also for shopping and getting to other services one needs. But NeighborhoodScout's analysis revealed that households in the Columbus Park neighborhood have a highly unusual car ownership. 34.9% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 97.7% of 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 Columbus Park neighborhood in Erie are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 98.7% of U.S. neighborhoods. With 91.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 99.8% 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 Columbus Park neighborhood, 35.7% of the working population is employed in manufacturing and laborer 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 31.0% of the residents employed. Other residents here are employed in executive, management, and professional occupations (16.8%), and 16.5% 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 Columbus Park neighborhood is English, spoken by 93.8% of households. Other important languages spoken here include Polish and Spanish.
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 Columbus Park neighborhood in Erie, PA, residents most commonly identify their ethnicity or ancestry as German (12.9%). There are also a number of people of Italian ancestry (12.1%), and residents who report Puerto Rican roots (5.1%), and some of the residents are also of English ancestry (4.4%), along with some Irish ancestry residents (3.3%), 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 Columbus Park neighborhood spend under 15 minutes commuting one-way to work (38.1% of working residents), one of the shortest commutes across America.
Here most residents (47.8%) drive alone in a private automobile to get to work. In addition, quite a number also hop out the door and walk to work to get to work (20.7%) and 14.1% of residents also carpool with coworkers, friends, or neighbors 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.
