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.
Mount Olivet Northeast median real estate price is $49,555, which is less expensive than 96.5% of Michigan neighborhoods and 99.0% of all U.S. neighborhoods.
The average rental price in Mount Olivet Northeast is currently $1,742, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 60.5% of the neighborhoods in Michigan.
Mount Olivet Northeast is an urban neighborhood (based on population density) located in Detroit, Michigan.
Mount Olivet Northeast real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and townhomes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Mount Olivet Northeast neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built before 1940.
Vacant apartments or homes are a major fact of life in Mount Olivet Northeast. The current real estate vacancy rate here is 27.0%. This is higher than the rate of vacancies in 93.2% 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
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 Mount Olivet Northeast neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
Single parenting is hard. But you don't have to tell the Mount Olivet Northeast neighborhood about it; they already know. 25.9% of this neighborhood's households are run by single mothers, which is a higher concentration than NeighborhoodScout found in 99.0% of American neighborhoods. Further NeighborhoodScout research showed strong statistical correlations among high rates of children living in single parent households, and neighborhood crime, particularly violent crime, neighborhood poverty, and, importantly, the percentage of low weight births and rates of infant mortality.
In addition, neighborhoodScout's exclusive research revealed that 97.3% of the adult residents in the Mount Olivet Northeast neighborhood do not have a 4-year college degree, which is a lower rate of college graduated adults than found in 98.4% of the neighborhoods in America.
Modes of Transportation
In the Mount Olivet Northeast neighborhood, carpooling is still a popular way to get to and from work. NeighborhoodScout's analysis reveals that 30.6% of commuters carpool here, which is more than in 99.0% of all U.S. neighborhoods.
Real Estate
Most neighborhoods have a mixture of ages of homes in them, from new to old, but this neighborhood stands out due to its concentration of residential real estate built in one time frame: from 1940 through 1969, generally considered older, well-established homes. This was a busy time in America for home construction. After the end of World War II, as GIs came home, bought newly built homes on the edges of cities with the help of the GI Bill, and began their families. This housing era generally coincides with the 'Baby Boom' generation (1945 - 1964), and many baby boomers grew up in homes built in this era. But what is so interesting about the Mount Olivet Northeast neighborhood, is that an incredible 82.2% of the homes here were built in this era. So when you walk its streets or drive through, this neighborhood has a look and feel that harkens to that era in American life, a very important slice of Americana.
In addition, the Mount Olivet Northeast neighborhood has earned the amazing distinction of having one of the highest rates of detached, single-family homes of any neighborhood in the U.S. With 97.7% of the residential real estate here made up of free-standing single-family homes, there is a greater proportion of single-family homes here than in 95.8% of all neighborhoods in America.
Occupations
More people work in manufacturing and as laborers here in the Mount Olivet Northeast neighborhood than in 98.6% 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.
Diversity
Did you know that the Mount Olivet Northeast neighborhood has more African and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 22.0% of this neighborhood's residents have African ancestry and 22.0% 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 Mount Olivet Northeast neighborhood in Detroit are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 78.9% of U.S. neighborhoods. With 43.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 90.9% 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 Mount Olivet Northeast neighborhood, 48.7% 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 29.8% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (11.8%), and 9.7% in executive, management, and professional occupations.
Languages
The most common language spoken in the Mount Olivet Northeast neighborhood is English, spoken by 99.6% of households. Some people also speak Polish (2.2%).
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 Mount Olivet Northeast neighborhood in Detroit, MI, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (22.0%). There are also a number of people of African ancestry (22.0%), and residents who report Arab roots (5.0%), and some of the residents are also of Welsh ancestry (1.4%), along with some French ancestry residents (1.4%), 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 Mount Olivet Northeast neighborhood spend between 15 and 30 minutes commuting one-way to work (60.6% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (65.2%) 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 (30.6%) . 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.
