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.
Swan North median real estate price is $370,089, which is more expensive than 56.7% of the neighborhoods in Michigan and 41.5% of the neighborhoods in the U.S.
The average rental price in Swan North is currently $2,174, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 83.5% of the neighborhoods in Michigan.
Swan North is an urban neighborhood (based on population density) located in Grand Rapids, Michigan.
Swan North real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Swan 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 2000 and the present.
Swan North has a 11.7% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 68.4% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are empty.
Notable & Unique Neighborhood Characteristics
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
People
An extraordinary 17.8% of the residents of the Swan North neighborhood are currently enrolled in college. This is such a large part of life in this neighborhood that the neighborhood changes a great deal with the change of semesters and is far quieter during the summer when many students are away.
Diversity
Did you know that the Swan North neighborhood has more Dutch ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 8.6% of this neighborhood's residents have Dutch ancestry.
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 Swan North neighborhood. In the Swan North neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 98.8% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
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 Swan North neighborhood in Grand Rapids are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 55.9% of the neighborhoods in America. With 45.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 92.1% of U.S. neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the Swan North neighborhood, 43.4% 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 28.0% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (15.6%), and 13.0% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Swan North neighborhood is English, spoken by 90.7% of households. Some people also speak Spanish (7.6%).
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 Swan North neighborhood in Grand Rapids, MI, residents most commonly identify their ethnicity or ancestry as German (16.5%). There are also a number of people of Mexican ancestry (15.1%), and residents who report Irish roots (10.3%), and some of the residents are also of Dutch ancestry (8.6%), along with some English ancestry residents (8.4%), 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 Swan North neighborhood spend between 15 and 30 minutes commuting one-way to work (46.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (63.8%) 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 (9.0%) and 6.8% of residents also hop out the door and walk to work 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.
