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.
Old Dominion University median real estate price is $304,867, which is less expensive than 71.6% of Virginia neighborhoods and 61.3% of all U.S. neighborhoods.
The average rental price in Old Dominion University is currently $2,145, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 56.4% of Virginia neighborhoods.
Old Dominion University is an urban neighborhood (based on population density) located in Norfolk, Virginia.
Old Dominion University 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 renter occupied. Many of the residences in the Old Dominion University neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Old Dominion University are 5.1%, which is lower than one will find in 66.0% of American neighborhoods. Demand for real estate in Old Dominion University is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Norfolk, the Old Dominion University neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
An extraordinary 73.0% of the residents of the Old Dominion 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.
In addition, one of the really interesting characteristics about the Old Dominion University neighborhood is that, according to NeighborhoodScout's exclusive research, it is an excellent choice in which to reside for college students. Due to its popularity among college students who already choose to live here, its walkability, and its above average safety from crime, the neighborhood is ideal for prospective or already-enrolled college students. Between semesters and during school breaks, you'll notice that the excitement here fluctuates with the college seasons. Despite the excitement however, parents of college-age children can rest easy knowing that this neighborhood has an above average safety rating. For each of these reasons, the neighborhood is rated among the top 3.6% of college-friendly places to live in the state of Virginia.
Occupations
There are more people living in the Old Dominion University neighborhood employed as sales and service workers (51.7%) than almost any neighborhood in the country. From fast-food service workers to major sales accounts, sales and service workers make up the largest proportion of our national employment picture. But despite that size and importance nationally, this neighborhood still stands out as unique due to the dominance of people living here who work in such occupations.
Furthermore, the Old Dominion University neighborhood stands out nationally for having a greater proportion of its residents active in the military than 96.3% of other U.S. neighborhoods. If you come here, you will notice military people active in their jobs, going to and from work, and in plain clothes out and about the neighborhood.
Modes of Transportation
More people in Old Dominion University choose to walk to work each day (27.5%) 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.
Real Estate
Renter-occupied real estate is dominant in the Old Dominion University neighborhood. The percentage of rental real estate here, according to exclusive NeighborhoodScout analysis, is 88.3%, which is higher than 96.3% of the neighborhoods in America. If you were to buy and live in the property you bought here, you would be almost alone in doing so.
Migration / Stability
Some neighborhoods have more internal cohesiveness than others. While other neighborhoods feel like a collection of strangers who just happen to live near each other. Sometimes this comes down to not only the personalities of the people in a place, but how long people have been together in that neighborhood. NeighborhoodScout's research has revealed some interesting things about the rootedness of people in the Old Dominion University neighborhood. In the Old Dominion University neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 99.3% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
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 Old Dominion University neighborhood in Norfolk are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 87.6% of U.S. neighborhoods. With 22.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 72.4% of U.S. neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the Old Dominion University neighborhood, 48.3% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 21.3% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (16.6%), and 13.7% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Old Dominion University neighborhood is English, spoken by 91.2% of households. Some people also speak Spanish (2.5%).
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 Old Dominion University neighborhood in Norfolk, VA, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (8.5%). There are also a number of people of German ancestry (4.3%), and residents who report Irish roots (4.1%), and some of the residents are also of African ancestry (4.1%), along with some English ancestry residents (3.7%), 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 Old Dominion University neighborhood spend under 15 minutes commuting one-way to work (48.2% of working residents), one of the shortest commutes across America.
Here most residents (57.0%) 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 (27.5%) and 6.1% 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.
