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.
Silver Swan median real estate price is $157,146, which is less expensive than 88.1% of Wisconsin neighborhoods and 85.3% of all U.S. neighborhoods.
The average rental price in Silver Swan is currently $1,399, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 48.0% of Wisconsin neighborhoods.
Silver Swan is an urban neighborhood (based on population density) located in Milwaukee, Wisconsin.
Silver Swan real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Silver Swan neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Silver Swan are 5.0%, which is lower than one will find in 66.7% of American neighborhoods. Demand for real estate in Silver Swan is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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.
Real Estate
Corner bodegas, stores on the first floor and apartments above, former grand Victorian residences converted into apartments, three-deckers built shoulder-to-shoulder, duplexes. Such building types define the real estate of neighborhoods dominated by small 2, 3, and 4 unit apartment buildings. Many are in older core neighborhoods of Eastern and Midwestern cities, or historic town centers in their hinterlands. If you wax romantic about the look and feel of such neighborhoods, with fresh pizza, falafel and an independent florist at the corner, then you might find the Silver Swan neighborhood worth a close look. This neighborhood is an absolutely outstanding example of the dominance of small 2, 3, and 4 unit apartment buildings compared to neighborhoods across the nation, as they make up a substantial portion of this neighborhood's real estate stock. In fact, no less than 44.8% of the real estate here is made up of such dwellings, which is higher than 97.8% of all U.S. neighborhoods.
Diversity
Did you know that the Silver Swan neighborhood has more Jamaican and Puerto Rican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 26.3% of this neighborhood's residents have Jamaican ancestry and 8.0% have Puerto Rican 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 Silver Swan neighborhood in Milwaukee are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 89.2% of U.S. neighborhoods. With 40.3% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 89.2% 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 Silver Swan neighborhood, 33.5% of the working population is employed in manufacturing and laborer 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 25.4% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (21.3%), and 19.9% in executive, management, and professional occupations.
Languages
The most common language spoken in the Silver Swan neighborhood is English, spoken by 77.4% of households. Some people also speak Spanish (6.1%).
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 Silver Swan neighborhood in Milwaukee, WI, residents most commonly identify their ethnicity or ancestry as Jamaican (26.3%). There are also a number of people of Asian ancestry (21.4%), and residents who report German roots (8.6%), and some of the residents are also of Puerto Rican ancestry (8.0%), along with some Irish ancestry residents (5.4%), 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 Silver Swan neighborhood spend between 15 and 30 minutes commuting one-way to work (40.6% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (72.9%) 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 (10.7%) and 6.7% of residents also ride the bus 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.
