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.
Mount Saint Mary College median real estate price is $381,894, which is more expensive than 33.0% of the neighborhoods in New York and 54.2% of the neighborhoods in the U.S.
The average rental price in Mount Saint Mary College is currently $1,889, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 70.8% of New York neighborhoods.
Mount Saint Mary College is an urban neighborhood (based on population density) located in Newburgh, New York.
Mount Saint Mary College 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 single-family homes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Mount Saint Mary College neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built before 1940.
Home and apartment vacancy rates are 6.6% in Mount Saint Mary College. NeighborhoodScout analysis shows that this rate is lower than 56.2% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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
NeighborhoodScout's analysis shows that the Mount Saint Mary College neighborhood has a greater concentration of residents currently enrolled in college than 97.9% of the neighborhoods in the U.S. With 22.3% of the population here attending college, this is very much a college-focused neighborhood.
In addition, whether by choice, divorce, or unplanned pregnancy, single moms may have the toughest job in the book. NeighborhoodScout's exclusive analysis reveals that the Mount Saint Mary College neighborhood has more single mother households than 96.8% of the neighborhoods in the U.S. Often high concentrations of single mother homes can be a strong indicator of family and social issues such as poverty, high rates of school dropouts, crime, and other societal problems.
Diversity
Did you know that the Mount Saint Mary College neighborhood has more Italian and Puerto Rican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 19.8% of this neighborhood's residents have Italian ancestry and 10.7% have Puerto Rican ancestry.
Mount Saint Mary College is also pretty special linguistically. Significantly, 1.8% of its residents five years old and above primarily speak Greek at home. While this may seem like a small percentage, it is higher than 98.9% of the neighborhoods in America.
The Neighbors
How wealthy a neighborhood is, from very wealthy, to middle income, to low income is very formative with regard to the personality and character of a neighborhood. Equally important is the rate of people, particularly children, who live below the federal poverty line. In some wealthy gated communities, the areas immediately surrounding can have high rates of childhood poverty, which indicates other social issues. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the Mount Saint Mary College neighborhood in Newburgh are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 89.3% of U.S. neighborhoods. With 30.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 81.9% 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 Mount Saint Mary College neighborhood, 31.0% of the working population is employed in clerical, assistant, and tech support 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 27.3% of the residents employed. Other residents here are employed in executive, management, and professional occupations (26.1%), and 15.6% in manufacturing and laborer 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 Mount Saint Mary College neighborhood is English, spoken by 67.1% 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 Mount Saint Mary College neighborhood in Newburgh, NY, residents most commonly identify their ethnicity or ancestry as Italian (19.8%). There are also a number of people of Irish ancestry (11.0%), and residents who report Puerto Rican roots (10.7%), and some of the residents are also of Mexican ancestry (9.3%), along with some German ancestry residents (8.9%), among others. In addition, 13.8% of the residents of this neighborhood were born in another country.
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 Mount Saint Mary College neighborhood spend between 15 and 30 minutes commuting one-way to work (46.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (57.2%) 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 (9.4%) and 9.0% 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.
