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Brown Blvd / Cross Timbers Trl median real estate price is $109,491, which is more expensive than 22.5% of the neighborhoods in Texas and 17.8% of the neighborhoods in the U.S.
The average rental price in Brown Blvd / Cross Timbers Trl is currently $1,315, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 42.6% of Texas neighborhoods.
Brown Blvd / Cross Timbers Trl is an urban neighborhood (based on population density) located in Arlington, Texas.
Brown Blvd / Cross Timbers Trl 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 mobile homes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Brown Blvd / Cross Timbers Trl neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
Vacant apartments or homes are a major fact of life in Brown Blvd / Cross Timbers Trl. The current real estate vacancy rate here is 20.2%. This is higher than the rate of vacancies in 85.5% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
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 Arlington, the Brown Blvd / Cross Timbers Trl neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Brown Blvd / Cross Timbers Trl has the amazing distinction of housing more same sex couples living together than 98.3% of neighborhoods in the U.S. If you are seeking such a neighborhood, NeighborhoodScout's analysis shows that this is one place that you should consider.
Most neighborhoods are composed of a mixture of ages of homes, but the Brown Blvd / Cross Timbers Trl stands out as rather unique in having nearly all of its residential real estate built in one time period, namely between 1970 and 1999, generally considered to be established, but not old housing. What you'll sense when you look around or drive the streets of this neighborhood is that many of the residences look the same because of this similarity of age. In fact, 85.9% of the residential real estate here was built in this one time period.
Significantly, 3.6% of its residents five years old and above primarily speak African languages at home. While this may seem like a small percentage, it is higher than 97.7% of the neighborhoods in America.
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 Brown Blvd / Cross Timbers Trl neighborhood in Arlington are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 78.7% of U.S. neighborhoods. With 19.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 61.0% 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 Brown Blvd / Cross Timbers Trl neighborhood, 33.4% 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 25.2% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (21.4%), and 20.0% in clerical, assistant, and tech support occupations.
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 Brown Blvd / Cross Timbers Trl neighborhood is English, spoken by 58.2% of households. Other important languages spoken here include Spanish, African languages and Vietnamese.
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 Brown Blvd / Cross Timbers Trl neighborhood in Arlington, TX, residents most commonly identify their ethnicity or ancestry as Mexican (38.9%). There are also a number of people of Irish ancestry (10.2%), and residents who report Sub-Saharan African roots (7.4%), and some of the residents are also of Asian ancestry (5.2%), along with some German ancestry residents (4.6%), among others. In addition, 22.8% of the residents of this neighborhood were born in another country.
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 Brown Blvd / Cross Timbers Trl neighborhood spend between 15 and 30 minutes commuting one-way to work (33.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (83.5%) 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 (14.2%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2018 (latest available). Updated annually. Please note: Unemployment data updated November 2020.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
| School Details | Grades | Quality Rating Compared to TX* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Ellis Elementary School
2601 Shadow Rdg Dr Arlington, TX 76006 |
PK-06 | ||
|
Lamar H S School
1400 W Lamar Blvd Arlington, TX 76012 |
09-12 | ||
|
Larson Elementary School
2620 Ave K Grand Prairie, TX 75050 |
PK-06 | ||
|
Nichols J H School
2201 Ascension Blvd Arlington, TX 76006 |
07-08 | ||
| * 10 is highest | |||
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSAnalytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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