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 $203,422, which is less expensive than 87.0% of New York neighborhoods and 80.0% of all U.S. neighborhoods.
The average rental price in Columbus Park is currently $1,296, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 93.4% of New York neighborhoods.
Columbus Park is an urban neighborhood (based on population density) located in Binghamton, New York.
Columbus Park 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 Columbus Park neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built before 1940.
Vacant apartments or homes are a major fact of life in Columbus Park. The current real estate vacancy rate here is 16.2%. This is higher than the rate of vacancies in 81.6% 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
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.
Modes of Transportation
More people ride the bus in this neighborhood each day to get to work than 99.8% of U.S. neighborhoods.
Also, in the Columbus Park 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 13.6% of residents here. This is a higher proportion of walking commuters than we found in 96.7% of American neighborhoods. Get ready to put on your walking shoes if you move here!
People
The Columbus Park neighborhood stands out for having an average per capita income lower than 99.6% of the neighborhoods in the United States. The Columbus Park neighborhood also has a greater percentage of children living in poverty (82.0%) than found in 99.5% 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.
In addition, the types of households in a neighborhood can tell a lot about the character and lifestyle of those living here. NeighborhoodScout's exclusive analysis reveals that this neighborhood, above nearly every neighborhood in America, has a greater percentage of its residents living alone: 66.0%. This is a higher percent living alone than we found in 99.4% of all U.S. neighborhoods. Often residents who live alone are new arrivals to an area who are single, and often senior citizens who have lost a spouse.
Also, an extraordinary 11.3% of the residents of the Columbus Park 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.
Real Estate
97.0% of the real estate in the Columbus Park neighborhood is occupied by renters, which is nearly the highest rate of renter occupancy of any neighborhood in America.
Car Ownership
We Americans love our cars. Not only are they a necessity for most Americans due to the shape of our neighborhoods and the distances between where we live, work, shop, and go to school, but we also fancy them. As a result, most households in America have one, two, or three cars. But NeighborhoodScout's exclusive analysis shows that the Columbus Park neighborhood has a highly unusual pattern of car ownership. 32.6% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 97.4% of U.S. neighborhoods.
Diversity
Did you know that the Columbus Park neighborhood has more Puerto Rican and Ukrainian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 21.9% of this neighborhood's residents have Puerto Rican ancestry and 3.0% have Ukrainian ancestry.
Columbus Park is also pretty special linguistically. Significantly, 1.1% of its residents five years old and above primarily speak Japanese at home. While this may seem like a small percentage, it is higher than 97.9% 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 Columbus Park neighborhood in Binghamton are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 99.6% of U.S. neighborhoods. With 82.0% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 99.5% of U.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 Columbus Park neighborhood, 51.9% 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 24.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (18.7%), and 5.0% 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 86.9% of households. Other important languages spoken here include Spanish and Polish.
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 Columbus Park neighborhood in Binghamton, NY, residents most commonly identify their ethnicity or ancestry as Puerto Rican (21.9%). There are also a number of people of Italian ancestry (14.9%), and residents who report English roots (13.2%), and some of the residents are also of German ancestry (8.4%), along with some Polish ancestry residents (7.8%), 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 Columbus Park neighborhood spend between 15 and 30 minutes commuting one-way to work (45.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (39.6%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (34.2%) and 13.6% of residents also hop out the door and walk to work 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.
