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.
Mar Bella median real estate price is $541,362, which is more expensive than 79.0% of the neighborhoods in Texas and 65.1% of the neighborhoods in the U.S.
The average rental price in Mar Bella is currently $2,872, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 91.0% of the neighborhoods in Texas.
Mar Bella is a suburban neighborhood (based on population density) located in League City, Texas.
Mar Bella real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Mar Bella neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Mar Bella are 4.7%, which is lower than one will find in 67.4% of American neighborhoods. Demand for real estate in Mar Bella 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
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
Priests and therapists would like to think they know the secrets to a truly successful marriage, but according to NeighborhoodScout's research, the folks of the Mar Bella neighborhood may actually hold the key. 76.7% of its residents are married, which is a higher percentage than is found in 99.4% of the neighborhoods in America.
In addition, according to NeighborhoodScout's exclusive analysis, Mar Bella is among the best neighborhoods for families in Texas. In fact, this neighborhood is more family-friendly than 97.7% of neighborhoods in the entire state of Texas. Its combination of top public schools, low crime rates, and owner-occupied single family homes gives this area the look and feel of a "Leave It to Beaver" episode. Many other families also live here, making it easy to socialize and develop a strong sense of community. In addition, the high number of college-educated parents influences the academic success of the local schools. Overall, you will find all of the amenities a family needs to thrive in the Mar Bella neighborhood. In addition to being an excellent choice for families with school-aged children, this neighborhood is also a very good choice for urban sophisticates and highly educated executives.
Real Estate
The Mar Bella neighborhood has earned the amazing distinction of having one of the highest rates of detached, single-family homes of any neighborhood in the U.S. With 99.3% of the residential real estate here made up of free-standing single-family homes, there is a greater proportion of single-family homes here than in 98.2% of all neighborhoods in America.
In addition, one way that the Mar Bella neighborhood really stands out, is that it has more large 4, 5, or additional bedroom homes and real estate than 97.6% 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.
Furthermore, homes built from 2000 through today make up a higher proportion of the Mar Bella neighborhood's real estate landscape than 95.3% 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, 69.1% of the residential real estate here is classified as newer.
Modes of Transportation
In the Mar Bella neighborhood, many people's commute means walking from the bedroom to the home office. NeighborhoodScout's analysis found that 31.5% of residents worked from home. This may not seem like a large number, but Scout's research shows that this is a higher percentage of people working from home than 95.7% of the neighborhoods in America. Often people who work from home are engaged in the creative or technological economy, such as is found in areas around Boston, and in Silicon Valley. Other times, people may be engaged in other businesses like trading stocks from home, or running a small beauty salon.
Diversity
Did you know that the Mar Bella neighborhood has more Brazilian and Norwegian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.0% of this neighborhood's residents have Brazilian ancestry and 5.9% have Norwegian 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 Mar Bella neighborhood in League City 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 94.8% of the neighborhoods in America. In addition, 0.5% 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 79.9% 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 Mar Bella neighborhood, 59.7% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 17.5% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (12.9%), and 9.8% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Mar Bella neighborhood is English, spoken by 90.3% of households. Some people also speak Spanish (2.8%).
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Mar Bella neighborhood in League City, TX, residents most commonly identify their ethnicity or ancestry as German (15.6%). There are also a number of people of English ancestry (15.0%), and residents who report Mexican roots (9.9%), and some of the residents are also of Asian ancestry (8.0%), along with some Spanish ancestry residents (7.2%), among others. In addition, 10.3% 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 Mar Bella neighborhood spend between 30 and 45 minutes commuting one-way to work (29.8% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (66.3%) 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.
