This is a small community in a single neighborhood.
As throughout the site, some neighborhood-level data are reserved for subscribers.
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.
Mountain is a tiny town located in the state of Wisconsin. With a population of 289 people and just one neighborhood, Mountain is the 486th largest community in Wisconsin.
Occupations and Workforce
Unlike some towns where white-collar or blue-collar occupations dominate the local economy, Mountain is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Mountain is a town of managers, professionals, and sales and office workers. There are especially a lot of people living in Mountain who work in business and financial occupations (18.10%), the sciences (12.07%), and sales jobs (11.21%).
And if you like science, one thing you'll find is that Mountain has lots of scientists living in town - whether they be life scientists, physical scientists (like astronomers), or social scientists (like geographers!). So, if you're scientific-minded, you might like it here too.
One interesting thing about the economy is that relatively large numbers of people worked from their home: 20.72% of the workforce. While this number may seem small overall, as a fraction of the total workforce this is high compared to the rest of the county. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
Setting & Lifestyle
Another notable thing is that Mountain is an extremely popular vacation destination. A significant portion of the population is seasonal. During the vacation season, the town experiences a large influx of people who take up residence in second homes they own in the area. As the vacation season ends, the population drops again, leaving behind a substantially quieter and smaller town.
Residents will find that the town is relatively quiet. This is because it is not over-populated, and it has fewer college students, renters, and young children - all of whom can be noisy at times. So, if you're looking for a relatively peaceful place to live, Mountain is worth considering.
As is often the case in a small town, Mountain doesn't have a public transportation system that people use for their commute.
Demographics
The percentage of people in Mountain who are college-educated is somewhat higher than the average US community of 21.84%: 25.22% of adults in Mountain have at least a bachelor's degree.
The per capita income in Mountain in 2022 was $34,813, which is middle income relative to Wisconsin and the nation. This equates to an annual income of $139,252 for a family of four. However, Mountain contains both very wealthy and poor people as well.
Mountain is a somewhat ethnically-diverse town. The people who call Mountain home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mountain residents report their race to be White, followed by Asian. Important ancestries of people in Mountain include German, Irish, Polish, French, and Norwegian.
The most common language spoken in Mountain is English. Other important languages spoken here include Polish and Chinese.
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
Despite all of the residential real estate here in the 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 61.6%, which is higher than 99.5% of all U.S. neighborhoods.
In addition, uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 13 residents per square mile, is less crowded than 96.3% of all U.S. neighborhoods. One of the notable things about is that it is one of the quietest neighborhoods in America, according to NeighborhoodScout's exclusive analysis and quantitative rating of quietness. When you are here, you will find it to be very quiet. If quiet and peaceful are your cup of tea, you may have found a great place for you.
Diversity
Did you know that the neighborhood has more Belgian and German ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.6% of this neighborhood's residents have Belgian ancestry and 43.7% have German ancestry.
is also pretty special linguistically. Significantly, 13.1% of its residents five years old and above primarily speak Polish at home. While this may seem like a small percentage, it is higher than 99.0% 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 neighborhood in Mountain are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 73.0% of U.S. neighborhoods. With 10.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 51.0% 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 neighborhood, 37.2% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 35.1% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (15.5%), and 10.8% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 96.9% of households. Some people also speak Polish (13.1%).
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 neighborhood in Mountain, WI, residents most commonly identify their ethnicity or ancestry as German (43.7%). There are also a number of people of Polish ancestry (15.1%), and residents who report Irish roots (8.0%), and some of the residents are also of French ancestry (7.0%), along with some English ancestry residents (5.9%), 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 neighborhood spend under 15 minutes commuting one-way to work (33.2% of working residents), one of the shortest commutes across America.
Here most residents (72.7%) 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 (7.3%) and 6.2% 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.
