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
Because occupations involving physical labor dominate the local economy, Mona - Levan is generally considered to be a blue-collar town. 36.61% of the Mona - Levan workforce is employed in blue-collar occupations, compared to the national average of 27.7%. 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 great place for families with children to consider. First of all, many other families with children live here, making Mona - Levan a place where both parents and children are more likely to develop social ties with other families, as well as find family-oriented services and community. The town’s good public school district and large population of college-educated adults provide an environment conducive to academic values. With regard to real estate, Mona - Levan has a high rate of owner-occupied single family homes, which tends to reflect stability in the local community. Finally, Mona - Levan’s overall crime rate is lower than average for the country.
Demographics
In terms of college education, Mona - Levan is nearly on par with the US average for all cities of 21.84%: 19.02% of adults 25 and older 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
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
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 2 people per square mile living here, this neighborhood is less crowded than 99.2% of America.
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 neighborhood have a highly unusual 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
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 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 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 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.
