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.
Barton-McFarland median real estate price is $64,035, which is less expensive than 94.6% of Michigan neighborhoods and 98.4% of all U.S. neighborhoods.
The average rental price in Barton-McFarland is currently $1,478, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 63.9% of Michigan neighborhoods.
Barton-McFarland is a suburban neighborhood (based on population density) located in Detroit, Michigan.
Barton-McFarland real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Barton-McFarland 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.
Vacant apartments or homes are a major fact of life in Barton-McFarland. The current real estate vacancy rate here is 33.0%. This is higher than the rate of vacancies in 95.8% 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
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.
Modes of Transportation
Our research revealed that more commuters here take the bus to work (27.5% ride the bus) than 99.5% of all American neighborhoods. If you like the idea of leaving your car and home and hopping the bus to work, this might be a good neighborhood for you to consider.
People
The Barton-McFarland neighborhood stands out for having an average per capita income lower than 99.0% of the neighborhoods in the United States.
In addition, one of the most interesting things about the Barton-McFarland neighborhood is that it has a greater concentration of residents who live alone than most all neighborhoods in America. With 57.5% of the households here made up of people living alone, NeighborhoodScout's research reveals that this is a larger proportion of people living alone than in 98.3% of the neighborhoods in America.
Also, the Barton-McFarland neighborhood is unique for having just 4.7% of adults here having earned a bachelor's degree. This is a lower rate of college graduates than NeighborhoodScout found in 97.4% of America's neighborhoods.
Car Ownership
Most American households own a car or other vehicle. Many own two cars or perhaps three. In the United States, it is useful to have an automobile not only for commuting, but also for shopping and getting to other services one needs. But NeighborhoodScout's analysis revealed that households in the Barton-McFarland neighborhood have a highly unusual car ownership. 48.9% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 98.7% of U.S. neighborhoods.
Real Estate
Despite all of the residential real estate here in the Barton-McFarland neighborhood, NeighborhoodScout has discovered that much of it is vacant. In resort or second-home vacation areas, this naturally occurs because homes and apartments are seasonally occupied, and empty for a portion of the year. In non-vacation or resort areas, however, this can be an indicator of property abandonment or a weak real estate market. The vacancy rate here is 33.0%, which is higher than 95.8% of all U.S. neighborhoods.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the Barton-McFarland neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 9.9% of commuters here travel more than one hour just one-way to work. That is more than two hours per day. This percentage with two-hour + round-trip commutes is higher than NeighborhoodScout found in 95.3% of all neighborhoods in America.
Diversity
Did you know that the Barton-McFarland neighborhood has more Sub-Saharan African and African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 26.9% of this neighborhood's residents have Sub-Saharan African ancestry and 13.1% have 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 Barton-McFarland neighborhood in Detroit are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 99.0% of U.S. neighborhoods. With 27.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 78.8% 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 Barton-McFarland neighborhood, 28.9% 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 clerical, assistant, and tech support occupations, with 27.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (24.6%), and 18.9% in executive, management, and professional occupations.
Languages
The most common language spoken in the Barton-McFarland neighborhood is English, spoken by 96.2% of households. Some people also speak Spanish (2.7%).
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 Barton-McFarland neighborhood in Detroit, MI, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (26.9%). There are also a number of people of African ancestry (13.1%), and residents who report Jamaican roots (1.2%).
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 Barton-McFarland neighborhood spend between 15 and 30 minutes commuting one-way to work (50.1% of working residents), which is shorter than the time spent commuting to work for most Americans. However, there is also a significant group of residents (9.9%) who commute over an hour in each direction.
Here most residents (31.6%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (27.5%) and 20.6% 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.
