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.
Santa Clara / Mount Vernon median real estate price is $74,376, which is less expensive than 91.6% of Ohio neighborhoods and 96.2% of all U.S. neighborhoods.
The average rental price in Santa Clara / Mount Vernon is currently $1,281, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 68.3% of Ohio neighborhoods.
Santa Clara / Mount Vernon is an urban neighborhood (based on population density) located in Dayton, Ohio.
Santa Clara / Mount Vernon real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Santa Clara / Mount Vernon 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 Santa Clara / Mount Vernon. The current real estate vacancy rate here is 47.0%. This is higher than the rate of vacancies in 98.4% 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.
Real Estate
Vacant homes and apartments are a significant characteristic of this neighborhood. In fact, with 47.0% of the residential real estate vacant, the Santa Clara / Mount Vernon neighborhood claims the distinction of having a higher vacancy rate than 98.4% of the neighborhoods in America. This can either be because much of the property is seasonally occupied, like in many vacation areas, or that much of the real estate is more permanently abandoned.
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 Santa Clara / Mount Vernon neighborhood stands out on a national scale for the sheer concentration of historic residences it contains: 70.3% of the residential real estate here was built from 1939 or earlier, some much earlier. This is a greater concentration of historic homes than 98.6% of the neighborhoods in the United States.
Modes of Transportation
More people ride the bus in this neighborhood each day to get to work than 95.4% of U.S. neighborhoods.
People
Divorcees may find friendship and understanding in this neighborhood, as 19.7% of its residents are divorced. NeighborhoodScout's exclusive analysis found that this divorce rate is higher than in 95.2% of the neighborhoods in America.
Diversity
Did you know that the Santa Clara / Mount Vernon neighborhood has more African and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 10.9% of this neighborhood's residents have African ancestry and 10.9% have Sub-Saharan African ancestry.
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 Santa Clara / Mount Vernon neighborhood in Dayton are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 94.4% of U.S. neighborhoods. With 39.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 88.7% 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 Santa Clara / Mount Vernon neighborhood, 31.7% 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 25.3% of the residents employed. Other residents here are employed in executive, management, and professional occupations (23.4%), and 18.9% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Santa Clara / Mount Vernon neighborhood is English, spoken by 93.6% of households. Some people also speak Spanish (5.0%).
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 Santa Clara / Mount Vernon neighborhood in Dayton, OH, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (10.9%). There are also a number of people of African ancestry (10.9%), and residents who report Irish roots (7.6%), and some of the residents are also of German ancestry (7.3%), along with some Mexican ancestry residents (2.2%), 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 Santa Clara / Mount Vernon neighborhood spend between 15 and 30 minutes commuting one-way to work (41.4% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (61.5%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (18.2%) and 11.1% of residents also ride the bus 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.
