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.
University of Wisconsin Whitewater median real estate price is $496,083, which is more expensive than 88.5% of the neighborhoods in Wisconsin and 66.1% of the neighborhoods in the U.S.
The average rental price in University of Wisconsin Whitewater is currently $1,120, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 91.0% of Wisconsin neighborhoods.
University of Wisconsin Whitewater is a suburban neighborhood (based on population density) located in Whitewater, Wisconsin.
University of Wisconsin Whitewater real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and single-family homes. Most of the residential real estate is renter occupied. Many of the residences in the University of Wisconsin Whitewater neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Vacant apartments or homes are a major fact of life in University of Wisconsin Whitewater. The current real estate vacancy rate here is 19.7%. This is higher than the rate of vacancies in 86.4% 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.
People
One of the unique characteristics of the University of Wisconsin Whitewater neighborhood revealed by analysis is that the per capita income of residents here is lower than that found in 95.4% of the neighborhoods in America. Also of note is NeighborhoodScout's research finding that the University of Wisconsin Whitewater neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the University of Wisconsin Whitewater community truly stands out from the rest in this regard.
In addition, neighborhoodScout's analysis shows that the University of Wisconsin Whitewater neighborhood has a greater concentration of residents currently enrolled in college than 99.7% of the neighborhoods in the U.S. With 78.0% of the population here attending college, this is very much a college-focused neighborhood.
Also, one of the really interesting characteristics about the University of Wisconsin Whitewater neighborhood is that, according to NeighborhoodScout's exclusive research, it is an excellent choice in which to reside for college students. Due to its popularity among college students who already choose to live here, its walkability, and its above average safety from crime, the neighborhood is ideal for prospective or already-enrolled college students. Between semesters and during school breaks, you'll notice that the excitement here fluctuates with the college seasons. Despite the excitement however, parents of college-age children can rest easy knowing that this neighborhood has an above average safety rating. For each of these reasons, the neighborhood is rated among the top 0.4% of college-friendly places to live in the state of Wisconsin.
Occupations
There are more people living in the University of Wisconsin Whitewater neighborhood employed as sales and service workers (53.5%) than almost any neighborhood in the country. From fast-food service workers to major sales accounts, sales and service workers make up the largest proportion of our national employment picture. But despite that size and importance nationally, this neighborhood still stands out as unique due to the dominance of people living here who work in such occupations.
Modes of Transportation
In the University of Wisconsin Whitewater neighborhood, walking to work is a real option for many. In fact, NeighborhoodScout's exclusive research reveals walking to and from work is the chosen way to commute for 25.1% of residents here. This is a higher proportion of walking commuters than we found in 98.8% of American neighborhoods. Get ready to put on your walking shoes if you move here!
Real Estate
Renter-occupied real estate is dominant in the University of Wisconsin Whitewater neighborhood. The percentage of rental real estate here, according to exclusive NeighborhoodScout analysis, is 97.9%, which is higher than 98.7% of the neighborhoods in America. If you were to buy and live in the property you bought here, you would be almost alone in doing so.
In addition, one of the really unique and interesting things about the look and setting of the University of Wisconsin Whitewater neighborhood is that it is almost entirely dominated by large apartment buildings, such as apartment complexes or high-rise apartments. 70.5% of the residential real estate here is classified as such. This puts this neighborhood on the map as having a higher proportion of large apartment buildings than 95.1% of all neighborhoods in America.
Migration / Stability
Do you like to be surrounded by people from all over the country or world, with different perspectives and life experiences? Or do you instead prefer to be in a neighborhood where most residents have lived there for a long time, creating a sense of cohesiveness? NeighborhoodScout's analysis reveals that this neighborhood stands out among American neighborhoods for the uniqueness of the mobility of its residents. In the University of Wisconsin Whitewater neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 99.4% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
Diversity
Did you know that the University of Wisconsin Whitewater neighborhood has more Czechoslovakian and German ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 0.6% of this neighborhood's residents have Czechoslovakian ancestry and 34.2% have German ancestry.
University of Wisconsin Whitewater is also pretty special linguistically. Significantly, 2.4% of its residents five years old and above primarily speak German/Yiddish at home. While this may seem like a small percentage, it is higher than 97.3% of the neighborhoods in America.
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 University of Wisconsin Whitewater neighborhood in Whitewater are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 95.4% of U.S. neighborhoods. In addition, 0.0% 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 100.0% 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 University of Wisconsin Whitewater neighborhood, 46.5% 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 21.8% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (20.9%), and 10.7% in executive, management, and professional occupations.
Languages
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the University of Wisconsin Whitewater neighborhood is English, spoken by 88.0% of households. Other important languages spoken here include Spanish and German/Yiddish.
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 University of Wisconsin Whitewater neighborhood in Whitewater, WI, residents most commonly identify their ethnicity or ancestry as German (34.2%). There are also a number of people of Irish ancestry (13.1%), and residents who report Polish roots (9.6%), and some of the residents are also of English ancestry (5.0%), along with some Norwegian ancestry residents (3.7%), 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 University of Wisconsin Whitewater neighborhood spend under 15 minutes commuting one-way to work (50.4% of working residents), one of the shortest commutes across America.
Here most residents (62.6%) drive alone in a private automobile to get to work. In addition, quite a number also hop out the door and walk to work to get to work (25.1%) and 8.5% 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.
