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 North median real estate price is $376,960, which is more expensive than 86.3% of the neighborhoods in Michigan and 60.9% of the neighborhoods in the U.S.
The average rental price in University North is currently $1,522, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 52.2% of Michigan neighborhoods.
University North is an urban neighborhood (based on population density) located in Detroit, Michigan.
University North real estate is primarily made up of large (four, five or more bedroom) to medium sized (three or four bedroom) single-family homes and small apartment buildings. Most of the residential real estate is owner occupied. Many of the residences in the University North 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.
Home and apartment vacancy rates are 7.3% in University North. NeighborhoodScout analysis shows that this rate is lower than 53.7% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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 Detroit, the University North neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
A majority of the adults in the University North neighborhood are wealthy and educated executives. They own stately homes that tend to maintain high real estate appreciation rates. Their upper-level careers keep them busy, but allow them to live comfortably. If you're an executive and want to keep similar company, consider settling in this neighborhood, rated as an executive lifestyle "best choice" neighborhood for Michigan by NeighborhoodScout's analysis, which rated it as better for executive lifestyles than 99.5% of the neighborhoods in Michigan. In addition to being an excellent choice for highly educated executives, this neighborhood is also a very good choice for urban sophisticates and college students.
Real Estate
One way that the University North neighborhood really stands out, is that it has more large 4, 5, or additional bedroom homes and real estate than 97.0% of the neighborhoods in America. When you walk or drive around this neighborhood, you'll instantly notice the size of the homes here which definitely makes a strong visual statement.
In addition, if you find historic homes and neighborhoods attractive, you love the details, the history, and the charm, then you are sure to be interested in this neighborhood. With 65.7% of the residential real estate in the University North neighborhood built no later than 1939, and some built considerably earlier, this neighborhood has a greater concentration of historic residences than 97.6% of all neighborhoods in America. In this regard, this neighborhood truly stands out as special.
Diversity
Did you know that the University North neighborhood has more African and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 10.2% of this neighborhood's residents have African ancestry and 10.2% 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 University North neighborhood in Detroit are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 76.2% of the neighborhoods in America. With 12.6% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 54.2% 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 North neighborhood, 47.2% 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 22.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (17.9%), and 12.2% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the University North neighborhood is English, spoken by 96.9% of households. Some people also speak Langs. of India (2.4%).
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 University North neighborhood in Detroit, MI, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (10.2%). There are also a number of people of African ancestry (10.2%), and residents who report Irish roots (4.9%), and some of the residents are also of French ancestry (3.4%), along with some Asian ancestry residents (2.6%), 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 University North neighborhood spend between 15 and 30 minutes commuting one-way to work (51.1% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (72.0%) 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 (11.9%) . 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.
