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.
Mona - Levan is a somewhat small town located in the state of Utah. With a population of 5,492 people and just one neighborhood, Mona - Levan is the 100th largest community in Utah. Mona - Levan has seen a significant amount of newer housing growth in recent years. Quite often, new home construction is the result of new residents moving in who are middle class or wealthier, attracted by jobs, a healthy local economy, or other amenities as they leave nearby or far away areas for greener pastures. This seems to be the case in Mona - Levan, where the median household income is $84,321.00.
Occupations and Workforce
When you are in Mona - Levan, you'll notice that it is more blue-collar than most other communities in America. 36.61% of Mona - Levan’s employed work in blue-collar jobs, while America averages only 27.7% that do. Overall, Mona - Levan is a town of professionals, sales and office workers, and production and manufacturing workers. There are especially a lot of people living in Mona - Levan who work in office and administrative support (10.87%), management occupations (10.59%), and sales jobs (6.98%).
Telecommuters are a relatively large percentage of the workforce: 14.18% 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
Because of many things, Mona - Levan is a very good place for families to consider. With an enviable combination of good schools, low crime, college-educated neighbors who tend to support education because of their own experiences, and a high rate of home ownership in predominantly single-family properties, Mona - Levan really has some of the features that families look for when choosing a good community to raise children. Is Mona - Levan perfect? Of course not, and if you like frenetic nightlife, it will be far from your cup of tea. But overall this is a solid community, with many things to recommend it as a family-friendly place to live.
Demographics
The percentage of adults in Mona - Levan who are college-educated is close to the national average for all communities of 21.84%: 19.02% of the adults in Mona - Levan have a bachelor's degree or advanced degree.
The per capita income in Mona - Levan in 2022 was $26,104, which is low income relative to Utah, and lower middle income relative to the rest of the US. This equates to an annual income of $104,416 for a family of four. However, Mona - Levan contains both very wealthy and poor people as well.
The people who call Mona - Levan home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mona - Levan residents report their race to be White, followed by Native American. Important ancestries of people in Mona - Levan include English, European, German, Irish, and Danish.
The most common language spoken in Mona - Levan is English. Other important languages spoken here include Spanish and Italian.
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 Mona - Levan, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
Unpopulated, and rural, the neighborhood is one of the least crowded neighborhoods in all of America. If you like open space, no traffic, and lots of room, this neighborhood may be just what you are looking for. According to NeighborhoodScout's leading research, this neighborhood is less densely populated than 99.2% of the neighborhoods in America.
Car Ownership
We Americans love our cars. Not only are they a necessity for most Americans due to the shape of our neighborhoods and the distances between where we live, work, shop, and go to school, but we also fancy them. As a result, most households in America have one, two, or three cars. But NeighborhoodScout's exclusive analysis shows that the neighborhood has a highly unusual pattern of car ownership. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 35.6% of the households here have four, five, or more cars. That is more cars per household than in 96.4% of the neighborhoods in the nation.
Diversity
Did you know that the neighborhood has more English and Danish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 34.2% of this neighborhood's residents have English ancestry and 3.8% have Danish ancestry.
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 Mona - Levan are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 63.7% of the neighborhoods in America. With 17.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 64.1% 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, 35.6% 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 31.9% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (18.7%), and 12.8% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 97.0% of households. Some people also speak Spanish (2.4%).
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 Mona - Levan, UT, residents most commonly identify their ethnicity or ancestry as English (34.2%). There are also a number of people of German ancestry (9.2%), and residents who report Irish roots (5.0%), and some of the residents are also of Mexican ancestry (3.9%), along with some Danish ancestry residents (3.8%), 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 (38.4% of working residents), one of the shortest commutes across America.
Here most residents (68.4%) 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 (10.2%) and 6.0% 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.
