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.
University City North median real estate price is $1,158,762, which is more expensive than 70.2% of the neighborhoods in California and 93.4% of the neighborhoods in the U.S.
The average rental price in University City North is currently $5,127, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 90.5% of the neighborhoods in California.
University City North is a densely urban neighborhood (based on population density) located in San Diego, California.
University City North 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 University City North neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
Real estate vacancies in University City North are 3.3%, which is lower than one will find in 78.3% of American neighborhoods. Demand for real estate in University City North 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 San Diego, the University City North neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
If knowledge is power, then imagine the cumulative power of one neighborhood where many of the adults have earned an advanced degree, such as a Masters, law degree, medical degree, or even a Ph.D. This is certainly the case in the University City North neighborhood, where 47.6% have earned an advanced degree. Compare that to the average neighborhood in America, where just 13.4% of adults have completed a post-graduate degree, and you can see why this neighborhood is a stand out. In fact, this neighborhood has a higher rate of adults with an advanced degree than 98.9% of the neighborhoods in America.
Real Estate
The University City North neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 91.6% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
In addition, one of the really unique and interesting things about the look and setting of the University City North neighborhood is that it is almost entirely dominated by large apartment buildings, such as apartment complexes or high-rise apartments. 80.6% of the residential real estate here is classified as such. This puts this neighborhood on the map as having a higher proportion of large apartment buildings than 96.8% of all neighborhoods in America.
Diversity
Did you know that the University City North neighborhood has more Iranian and Ukrainian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.6% of this neighborhood's residents have Iranian ancestry and 3.5% have Ukrainian ancestry.
University City North is also pretty special linguistically. Significantly, 4.6% 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 99.7% of the neighborhoods in America.
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 University City North neighborhood. In the University City North neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 98.5% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas. What is also interesting to note, is that the University City North neighborhood has a greater percentage of residents born in another country (44.5%) than are found in 95.9% of all 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 University City North neighborhood in San Diego are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 90.6% of the neighborhoods in America. With 20.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 70.0% 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 University City North neighborhood, 64.1% 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 15.8% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (12.5%), and 7.7% 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 University City North neighborhood is English, spoken by 48.9% of households. Other important languages spoken here include Chinese, Langs. of India, Korean and Japanese.
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 University City North neighborhood in San Diego, CA, residents most commonly identify their ethnicity or ancestry as Asian (46.1%). There are also a number of people of German ancestry (6.5%), and residents who report Mexican roots (5.9%), and some of the residents are also of English ancestry (4.1%), along with some Irania ancestry residents (3.6%), among others. In addition, 44.5% of the residents of this neighborhood were born in another country.
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 University City North neighborhood spend between 15 and 30 minutes commuting one-way to work (50.7% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (61.1%) 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 (7.7%) . 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.
