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.
Tuscan Lakes median real estate price is $467,088, which is more expensive than 79.2% of the neighborhoods in Texas and 63.0% of the neighborhoods in the U.S.
The average rental price in Tuscan Lakes is currently $2,227, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 74.0% of the neighborhoods in Texas.
Tuscan Lakes is a suburban neighborhood (based on population density) located in League City, Texas.
Tuscan Lakes real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and single-family homes. Most of the residential real estate is owner occupied. Many of the residences in the Tuscan Lakes neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
In Tuscan Lakes, 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 Tuscan Lakes is very tight compared to the demand for property here.
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 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 Tuscan Lakes 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.
In addition, homes built from 2000 through today make up a higher proportion of the Tuscan Lakes neighborhood's real estate landscape than 98.7% of the neighborhoods in America. When you are driving around this neighborhood, you'll notice right away that it is one of the newest built of any, with the smell of fresh paint, and the look of young landscaping nearly everywhere you look. In fact, 89.4% of the residential real estate here is classified as newer. In fact, the concentration of newer homes here is so great that they completely dominate the landscape. In most neighborhoods, there is a mixture of ages of residential real estate, but here it is almost completely built during one time frame: 2000 through today.
Furthermore, the Tuscan Lakes neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 88.5% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
Also of note, one of the really unique and interesting things about the look and setting of the Tuscan Lakes neighborhood is that it is almost entirely dominated by large apartment buildings, such as apartment complexes or high-rise apartments. 82.6% of the residential real estate here is classified as such. This puts this neighborhood on the map as having a higher proportion of large apartment buildings than 97.1% of all neighborhoods in America.
People
In a nation where 1 out of every 4 children lives in poverty, the Tuscan Lakes neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
Modes of Transportation
While most Americans do drive to work alone each day, the Tuscan Lakes neighborhood stands out by having 95.6% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 99.6% of all American neighborhoods.
Diversity
Did you know that the Tuscan Lakes neighborhood has more Lebanese and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.5% of this neighborhood's residents have Lebanese ancestry and 16.1% have Sub-Saharan African ancestry.
Tuscan Lakes is also pretty special linguistically. Significantly, 1.7% of its residents five years old and above primarily speak Greek at home. While this may seem like a small percentage, it is higher than 98.8% 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 Tuscan Lakes neighborhood in League City are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 58.9% 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.
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 Tuscan Lakes neighborhood, 56.7% 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 22.5% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (15.4%), and 6.4% in government jobs, whether they are in local, state, or federal positions.
Languages
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the Tuscan Lakes neighborhood is English, spoken by 79.1% of households. Other important languages spoken here include French, Spanish and Italian.
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 Tuscan Lakes neighborhood in League City, TX, residents most commonly identify their ethnicity or ancestry as Irish (20.5%). There are also a number of people of German ancestry (18.4%), and residents who report Sub-Saharan African roots (16.1%), and some of the residents are also of Mexican ancestry (7.4%), along with some South American ancestry residents (5.9%), among others. In addition, 18.7% 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 Tuscan Lakes neighborhood spend under 15 minutes commuting one-way to work (51.4% of working residents), one of the shortest commutes across America.
Here most residents (95.6%) 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.
