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, Mountain isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Mountain are a mix of both white- and blue-collar jobs. Overall, Mountain is a town of professionals, construction workers and builders, and service providers. There are especially a lot of people living in Mountain who work in the sciences (10.43%), food service (9.57%), and business and financial occupations (8.70%).
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.
Telecommuters are a relatively large percentage of the workforce: 13.64% of people work from home. While this number may seem small overall, as a fraction of the total workforce it is high relative to the nation. 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 destination for tourists and seasonal residents. So much of the population is seasonal such that the town’s population swells significantly during the vacation season, and drops again when the season ends. Because of this, much of the local economy is centered around tourism; some businesses may be operated only during the high season. During the low season, year-round residents will notice that the city is a substantially quieter place to live.
The town is relatively quiet, having a combination of lower population density and few of those groups of people who have a tendency to be noisy. For example, Mountain has relatively fewer families with younger children, and/or college students. Combined, this makes Mountain a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
Being a small town, Mountain does not have a public transit system used by locals to get to and from work.
Demographics
In terms of college education, Mountain is nearly on par with the US average for all cities of 21.84%: 17.70% of adults 25 and older in Mountain have a bachelor's degree or advanced degree.
The per capita income in Mountain in 2022 was $29,048, which is low income relative to Wisconsin, and lower middle income relative to the rest of the US. This equates to an annual income of $116,192 for a family of four. However, Mountain contains both very wealthy and poor people as well.
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, Polish, Irish, Dutch, and French.
The most common language spoken in Mountain is English. Other important languages spoken here include Polish and Chinese.
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 Mountain, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
Vacant homes and apartments are a significant characteristic of this neighborhood. In fact, with 59.8% of the residential real estate vacant, the neighborhood claims the distinction of having a higher vacancy rate than 99.3% of the neighborhoods in America. This can either be because much of the property is seasonally occupied, like in many vacation areas, or that much of the real estate is more permanently abandoned.
In addition, this neighborhood has wide open spaces, few people, and lots of space to stretch out. If you like locations that fit that description, you may like this neighborhood. Based on NeighborhoodScout's exclusive analysis, with only 13 people per square mile living here, this neighborhood is less crowded than 96.3% of America. 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, 1.5% of this neighborhood's residents have Belgian ancestry and 44.6% 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
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 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 70.7% of U.S. neighborhoods. With 13.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 57.8% of U.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 neighborhood, 35.9% 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 34.8% 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 11.4% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 98.0% 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 (44.6%). There are also a number of people of Polish ancestry (13.6%), and residents who report Irish roots (8.0%), and some of the residents are also of French ancestry (6.6%), along with some English ancestry residents (4.6%), 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 (32.4% of working residents), one of the shortest commutes across America.
Here most residents (73.9%) 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 (8.3%) and 8.0% 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.
