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.
Snow College median real estate price is $606,303, which is more expensive than 62.4% of the neighborhoods in Utah and 74.2% of the neighborhoods in the U.S.
The average rental price in Snow College is currently $1,155, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 97.2% of Utah neighborhoods.
Snow College is a rural neighborhood (based on population density) located in Ephraim, Utah.
Snow College real estate is primarily made up of large (four, five or more bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Snow College neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 6.2% in Snow College. NeighborhoodScout analysis shows that this rate is lower than 58.9% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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.
People
An extraordinary 33.8% of the residents of the Snow College neighborhood are currently enrolled in college. This is such a large part of life in this neighborhood that the neighborhood changes a great deal with the change of semesters and is far quieter during the summer when many students are away.
In addition, if you're nearing retirement age, or in retirement, the Snow College is an excellent choice for you to consider for top-quality retirement living. This neighborhood is rated by NeighborhoodScout as among the top 8.4% of retiree-friendly neighborhoods in Utah, combining peace and quiet, safety from crime, and offering diverse housing options from which retirees can choose. Maybe it's because of these amenities that a large proportion of the residents here are college educated seniors, mixed with other age groups. For these and other reasons, NeighborhoodScout identifies this neighborhood as a top-notch place to consider if you are thinking of or planning to retire in Utah.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the Snow College neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 69.8% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 98.5% of U.S. neighborhoods. Less time commuting means more time for other things in life.
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 Snow College neighborhood has a highly unusual pattern of car ownership. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 39.0% of the households here have four, five, or more cars. That is more cars per household than in 97.8% of the neighborhoods in the nation.
Occupations
With 1.9% of employed workers living in the Snow College neighborhood active in the military, this neighborhood has the distinction of having a higher proportion of people in the military than 96.0% of American neighborhoods. This is a major shaper of the neighborhood's culture and character.
Diversity
Did you know that the Snow College neighborhood has more Danish and English ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 7.9% of this neighborhood's residents have Danish ancestry and 31.9% have English ancestry.
Migration / Stability
Some neighborhoods have more internal cohesiveness than others. While other neighborhoods feel like a collection of strangers who just happen to live near each other. Sometimes this comes down to not only the personalities of the people in a place, but how long people have been together in that neighborhood. NeighborhoodScout's research has revealed some interesting things about the rootedness of people in the Snow College neighborhood. In the Snow College neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 98.4% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
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 Snow College neighborhood in Ephraim are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 58.8% of the neighborhoods in America. In addition, 4.1% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 67.8% of America'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 Snow College neighborhood, 42.6% of the working population is employed in executive, management, and professional 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 29.3% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (15.4%), and 12.0% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Snow College neighborhood is English, spoken by 94.2% 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 Snow College neighborhood in Ephraim, UT, residents most commonly identify their ethnicity or ancestry as English (31.9%). There are also a number of people of Danish ancestry (7.9%), and residents who report Scottish roots (4.9%), and some of the residents are also of German ancestry (4.8%), along with some Irish ancestry residents (3.7%), 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 Snow College neighborhood spend under 15 minutes commuting one-way to work (69.8% of working residents), one of the shortest commutes across America.
Here most residents (72.1%) 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 (11.1%) and 9.9% 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.
