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.
Tuscany Hills median real estate price is $705,147, which is more expensive than 34.8% of the neighborhoods in California and 80.4% of the neighborhoods in the U.S.
The average rental price in Tuscany Hills is currently $4,676, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 85.5% of the neighborhoods in California.
Tuscany Hills is a suburban neighborhood (based on population density) located in Lake Elsinore, California.
Tuscany Hills real estate is primarily made up of large (four, five or more bedroom) to medium sized (three or four bedroom) single-family homes and small apartment buildings. Most of the residential real estate is owner occupied. Many of the residences in the Tuscany Hills 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 9.2% in Tuscany Hills. NeighborhoodScout analysis shows that this rate is lower than 42.1% 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.
Length of Commute
Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The Tuscany Hills neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the Tuscany Hills neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 14.0% 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 98.2% of all neighborhoods in America.
Real Estate
One way that the Tuscany Hills neighborhood really stands out, is that it has more large 4, 5, or additional bedroom homes and real estate than 97.8% of the neighborhoods in America. When you walk or drive around this neighborhood, you'll instantly notice the size of the homes here which definitely makes a strong visual statement.
Diversity
Did you know that the Tuscany Hills neighborhood has more French Canadian and Yugoslav ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 4.6% of this neighborhood's residents have French Canadian ancestry and 0.6% have Yugoslav ancestry.
Tuscany Hills is also pretty special linguistically. Significantly, 0.7% of its residents five years old and above primarily speak Mon-Khmer, which is the dominant language of Cambodia, at home. While this may seem like a small percentage, it is higher than 98.5% of the neighborhoods in America.
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 Tuscany Hills neighborhood in Lake Elsinore 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 89.0% of the neighborhoods in America. With 34.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 85.5% of U.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 Tuscany Hills neighborhood, 35.6% 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 35.5% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (13.8%), and 13.8% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Tuscany Hills neighborhood is English, spoken by 69.2% of households. Some people also speak Spanish (26.0%).
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 Tuscany Hills neighborhood in Lake Elsinore, CA, residents most commonly identify their ethnicity or ancestry as Mexican (23.0%). There are also a number of people of German ancestry (9.7%), and residents who report English roots (8.9%), and some of the residents are also of South American ancestry (8.5%), along with some Italian ancestry residents (6.2%), among others. In addition, 15.3% of the residents of this neighborhood were born in another country.
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 Tuscany Hills neighborhood spend between 45 minutes and one hour commuting one-way to work (31.1% of working residents), longer and tougher than most commutes in America.
Here most residents (61.6%) 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 (16.8%) . 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.
