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.
Thurston Woods median real estate price is $89,368, which is less expensive than 98.7% of Wisconsin neighborhoods and 96.6% of all U.S. neighborhoods.
The average rental price in Thurston Woods is currently $1,465, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 47.5% of Wisconsin neighborhoods.
Thurston Woods is an urban neighborhood (based on population density) located in Milwaukee, Wisconsin.
Thurston Woods 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 Thurston Woods neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built before 1940.
Home and apartment vacancy rates are 7.2% in Thurston Woods. NeighborhoodScout analysis shows that this rate is lower than 51.5% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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
Single parenting is hard. But you don't have to tell the Thurston Woods neighborhood about it; they already know. 22.3% of this neighborhood's households are run by single mothers, which is a higher concentration than NeighborhoodScout found in 98.1% of American neighborhoods. Further NeighborhoodScout research showed strong statistical correlations among high rates of children living in single parent households, and neighborhood crime, particularly violent crime, neighborhood poverty, and, importantly, the percentage of low weight births and rates of infant mortality.
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 Thurston Woods neighborhood have a highly unusual car ownership. 21.0% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 95.5% of U.S. neighborhoods.
Modes of Transportation
More people ride the bus in this neighborhood each day to get to work than 95.4% of U.S. neighborhoods.
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 Thurston Woods neighborhood in Milwaukee are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 78.9% of U.S. neighborhoods. With 24.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 75.2% 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 Thurston Woods neighborhood, 32.6% of the working population is employed in clerical, assistant, and tech support occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 27.3% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (22.0%), and 18.1% 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 Thurston Woods neighborhood is English, spoken by 94.8% of households. Other important languages spoken here include Spanish and Polish.
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Thurston Woods neighborhood in Milwaukee, WI, residents most commonly identify their ethnicity or ancestry as German (5.2%). There are also a number of people of Puerto Rican ancestry (4.2%), and residents who report Polish roots (3.9%), and some of the residents are also of English ancestry (2.7%), along with some Norwegian ancestry residents (1.6%), 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 Thurston Woods neighborhood spend between 15 and 30 minutes commuting one-way to work (55.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (74.9%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (10.6%) and 5.7% 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.
