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 City Highway - W. Idaho Street median real estate price is $370,582, which is more expensive than 28.8% of the neighborhoods in Nevada and 50.9% of the neighborhoods in the U.S.
The average rental price in Mountain City Highway - W. Idaho Street is currently $1,463, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 92.0% of Nevada neighborhoods.
Mountain City Highway - W. Idaho Street is a suburban neighborhood (based on population density) located in Elko, Nevada.
Mountain City Highway - W. Idaho Street real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Mountain City Highway - W. Idaho Street neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Mountain City Highway - W. Idaho Street are 5.5%, which is lower than one will find in 63.2% of American neighborhoods. Demand for real estate in Mountain City Highway - W. Idaho Street is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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 Elko, the Mountain City Highway - W. Idaho Street neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
In a nation where 1 out of every 4 children lives in poverty, the Mountain City Highway - W. Idaho Street neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the Mountain City Highway - W. Idaho Street neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 11.2% of commuters here travel more than one hour just one-way to work. That is more than two hours per day. This percentage with two-hour + round-trip commutes is higher than NeighborhoodScout found in 96.5% of all neighborhoods in America.
Diversity
Did you know that the Mountain City Highway - W. Idaho Street neighborhood has more Hungarian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.3% of this neighborhood's residents have Hungarian 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 Mountain City Highway - W. Idaho Street neighborhood in Elko are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 64.6% of U.S. neighborhoods. In addition, 0.0% 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 100.0% of America's neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the Mountain City Highway - W. Idaho Street neighborhood, 30.0% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 28.8% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (26.7%), and 14.4% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Mountain City Highway - W. Idaho Street neighborhood is English, spoken by 83.8% of households. Some people also speak Spanish (15.9%).
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 Mountain City Highway - W. Idaho Street neighborhood in Elko, NV, residents most commonly identify their ethnicity or ancestry as Mexican (32.3%). There are also a number of people of German ancestry (13.1%), and residents who report English roots (10.0%), and some of the residents are also of Irish ancestry (9.6%), along with some French ancestry residents (3.5%), among others.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in Mountain City Highway - W. Idaho Street neighborhood spend under 15 minutes commuting one-way to work (55.5% of working residents), one of the shortest commutes across America. However, there is also a significant group of residents (11.2%) who commute over an hour in each direction.
Here most residents (71.9%) 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 (11.4%) and 8.1% of residents also ride the bus 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.
