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.
Whiting median real estate price is $248,790, which is more expensive than 40.4% of the neighborhoods in Wisconsin and 32.8% of the neighborhoods in the U.S.
The average rental price in Whiting is currently $1,513, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 65.0% of the neighborhoods in Wisconsin.
Whiting is a rural neighborhood (based on population density) located in Stevens Point, Wisconsin.
Whiting 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 Whiting 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.
Home and apartment vacancy rates are 7.9% in Whiting. NeighborhoodScout analysis shows that this rate is lower than 48.5% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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 Stevens Point, the Whiting neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Length of Commute
Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The Whiting neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. Residents of the Whiting neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 69.8% 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 98.5% of U.S. neighborhoods. Less time commuting means more time for other things in life.
People
If you are planning to retire in Wisconsin, this neighborhood should be on your must-see list. For many reasons, Whiting may be considered a retiree's dream neighborhood. According to NeighborhoodScout's exclusive analysis and metrics, it's peaceful and quiet, has above average safety from crime compared to other neighborhoods in Wisconsin, while also offering a diverse range of housing options. This, along with the vibrant mix of very educated seniors and other age groups who choose to live here, makes the neighborhood more retiree-friendly than 97.8% of neighborhoods in WI. If a Wisconsin retirement is in your future, this neighborhood should be one of the places you visit. In addition to being an excellent choice for active retirees, this neighborhood is also a very good choice for college students.
Diversity
Did you know that the Whiting neighborhood has more Polish and Greek ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 25.6% of this neighborhood's residents have Polish ancestry and 3.5% have Greek ancestry.
Whiting is also pretty special linguistically. Significantly, 2.5% of its residents five years old and above primarily speak Greek at home. While this may seem like a small percentage, it is higher than 99.5% of the neighborhoods in America.
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 Whiting neighborhood in Stevens Point are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 61.5% of U.S. neighborhoods. In addition, 5.9% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 61.8% of America's neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the Whiting neighborhood, 49.3% 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 21.2% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (17.2%), and 12.3% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Whiting neighborhood is English, spoken by 94.3% of households. Some people also speak Greek (2.5%).
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 Whiting neighborhood in Stevens Point, WI, residents most commonly identify their ethnicity or ancestry as German (38.0%). There are also a number of people of Polish ancestry (25.6%), and residents who report Irish roots (13.6%), and some of the residents are also of English ancestry (10.5%), along with some Asian ancestry residents (5.7%), 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 Whiting neighborhood spend under 15 minutes commuting one-way to work (69.8% of working residents), one of the shortest commutes across America.
Here most residents (80.6%) 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 (8.1%) . 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.
