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.
Michigan City North median real estate price is $307,649, which is more expensive than 68.8% of the neighborhoods in Indiana and 40.1% of the neighborhoods in the U.S.
The average rental price in Michigan City North is currently $1,255, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 75.3% of Indiana neighborhoods.
Michigan City North is a suburban neighborhood (based on population density) located in Michigan City, Indiana.
Michigan City 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 Michigan City 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 1970 and 1999.
Vacant apartments or homes are a major fact of life in Michigan City North. The current real estate vacancy rate here is 37.9%. This is higher than the rate of vacancies in 97.1% of all U.S. neighborhoods. A relatively large percentage of housing here is seasonally occupied (25.3%). This can occur in vacation areas, and occasionally it is also found in neighborhoods that are primarily filled with college students, as some apartments could be vacant when school is not in session. If you live here year round, you may find that a number of buildings in your neighborhood are actually 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
Divorcees may find friendship and understanding in this neighborhood, as 22.3% of its residents are divorced. NeighborhoodScout's exclusive analysis found that this divorce rate is higher than in 97.8% of the neighborhoods in America.
Real Estate
Despite all of the residential real estate here in the Michigan City North 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 37.9%, which is higher than 97.1% of all U.S. neighborhoods.
Diversity
Did you know that the Michigan City North neighborhood has more Lithuanian and Croatian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.8% of this neighborhood's residents have Lithuanian ancestry and 1.0% have Croatian 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 Michigan City North neighborhood in Michigan City are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 74.6% of U.S. neighborhoods. With 29.0% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 80.1% 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 Michigan City North neighborhood, 36.9% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 26.8% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (19.3%), and 17.0% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Michigan City North neighborhood is English, spoken by 91.7% of households. Some people also speak Spanish (4.7%).
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 Michigan City North neighborhood in Michigan City, IN, residents most commonly identify their ethnicity or ancestry as Irish (19.2%). There are also a number of people of German ancestry (19.2%), and residents who report Mexican roots (7.8%), and some of the residents are also of English ancestry (6.5%), along with some Polish ancestry residents (6.3%), 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 Michigan City North neighborhood spend between 15 and 30 minutes commuting one-way to work (37.5% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (66.2%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (9.0%) and 7.0% 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.
