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 Park median real estate price is $201,245, which is more expensive than 34.2% of the neighborhoods in Michigan and 21.2% of the neighborhoods in the U.S.
The average rental price in University Park is currently $548, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 99.8% of Michigan neighborhoods.
University Park is a suburban neighborhood (based on population density) located in Flint, Michigan.
University Park 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 renter occupied. Many of the residences in the University Park 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.
In University Park, the current vacancy rate is 0.0%, which is a lower rate of vacancies than 100.0% of all neighborhoods in the U.S. This means that the housing supply in University Park is very tight compared to the demand for property here.
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
This neighborhood has the distinction of having one of the lowest real estate vacancy rates of any neighborhood in America. With just 0.0% of the real estate vacant, this indicates an exceptionally strong demand for real estate in the University Park neighborhood, and/or an issue with creating enough supply for the demand. This could have the effect of increasing real estate prices, increasing supply to meet demand, or both.
People
One of the unique characteristics of the University Park neighborhood revealed by analysis is that the per capita income of residents here is lower than that found in 99.9% of the neighborhoods in America.
In addition, astoundingly, the University Park neighborhood has one of the highest concentrations of divorcees living here than of any neighborhood, a higher concentration than NeighborhoodScout found in 99.1% of U.S. neighborhoods. This may be because people living here divorce more often than others, or that divorced people move here after they become divorced. If you are divorced, you will be in good company in this particular Flint neighborhood.
Occupations
More people work in manufacturing and as laborers here in the University Park neighborhood than in 98.8% of the neighborhoods in America. Despite the loss of manufacturing jobs across the nation, this neighborhood remains a place where, compared to other parts of the country, you will find many laborers and manufacturers.
Furthermore, each year, fewer and fewer Americans make their living as farmers, foresters, or fishers. But the University Park neighborhood truly stands out among U.S. neighborhoods. According to exclusive NeighborhoodScout analysis, this neighborhood has a greater proportion of farmers, foresters, or fishers than 98.5% of all American neighborhoods. This is truly a unique cultural characteristic of this neighborhood.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the University Park neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 58.2% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 95.4% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Modes of Transportation
More people ride the bus in this neighborhood each day to get to work than 95.1% of U.S. neighborhoods.
Also, in the University Park neighborhood, walking to work is a real option for many. In fact, NeighborhoodScout's exclusive research reveals walking to and from work is the chosen way to commute for 10.5% of residents here. This is a higher proportion of walking commuters than we found in 95.1% of American neighborhoods. Get ready to put on your walking shoes if you move here!
Diversity
Did you know that the University Park neighborhood has more African and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 9.3% of this neighborhood's residents have African ancestry and 11.8% have Sub-Saharan African ancestry.
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 Park neighborhood in Flint are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 99.9% of U.S. neighborhoods. With 46.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 92.5% 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 University Park neighborhood, 49.7% 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 23.8% of the residents employed. Other residents here are employed in executive, management, and professional occupations (13.5%), and 7.8% in farming, forestry, or commercial fishing.
Languages
The most common language spoken in the University Park neighborhood is English, spoken by 91.4% of households. Some people also speak Spanish (6.2%).
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the University Park neighborhood in Flint, MI, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (11.8%). There are also a number of people of African ancestry (9.3%), and residents who report Mexican roots (4.6%), and some of the residents are also of German ancestry (3.4%), along with some English ancestry residents (2.7%), 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 University Park neighborhood spend under 15 minutes commuting one-way to work (58.2% of working residents), one of the shortest commutes across America.
Here most residents (66.8%) 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 (10.5%) and 10.5% 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.
