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.
Mora median real estate price is $584,733, which is more expensive than 74.9% of the neighborhoods in Idaho and 72.4% of the neighborhoods in the U.S.
The average rental price in Mora is currently $2,660, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 94.1% of the neighborhoods in Idaho.
Mora is a rural neighborhood (based on population density) located in Kuna, Idaho.
Mora real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and mobile homes. Most of the residential real estate is owner occupied. Many of the residences in the Mora neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
In Mora, the current vacancy rate is 0.0%, which is a lower rate of vacancies than 100.0% of all neighborhoods in the U.S. This means that the housing supply in Mora is very tight compared to the demand for property here.
Notable & Unique Neighborhood Characteristics
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Real Estate
This neighborhood has the distinction of having one of the lowest real estate vacancy rates of any neighborhood in America. With just 0.0% of the real estate vacant, this indicates an exceptionally strong demand for real estate in the Mora neighborhood, and/or an issue with creating enough supply for the demand. This could have the effect of increasing real estate prices, increasing supply to meet demand, or both.
People
Of note is NeighborhoodScout's research finding that the Mora neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the Mora community truly stands out from the rest in this regard.
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 Mora neighborhood have a highly unusual car ownership. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 39.2% of the households here have four, five, or more cars. That is more cars per household than in 97.9% of the neighborhoods in the nation.
Diversity
Did you know that the Mora neighborhood has more Dutch and English ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 12.6% of this neighborhood's residents have Dutch ancestry and 27.4% have English 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 Mora neighborhood in Kuna are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 85.4% of the neighborhoods in America. 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.
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 Mora neighborhood, 37.4% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 24.8% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (21.6%), and 16.1% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Mora neighborhood is English, spoken by 96.8% of households. Some people also speak Spanish (2.7%).
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 Mora neighborhood in Kuna, ID, residents most commonly identify their ethnicity or ancestry as English (27.4%). There are also a number of people of German ancestry (20.5%), and residents who report Dutch roots (12.6%), and some of the residents are also of Irish ancestry (6.7%), along with some Scottish ancestry residents (4.4%), 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 Mora neighborhood spend between 30 and 45 minutes commuting one-way to work (47.7% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (79.8%) drive alone in a private automobile to get to work. 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.
