What do we mean by a neighborhood?
Ä¢¹½ÊÓƵ® 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. Ä¢¹½ÊÓƵ 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.
Allen Forest / Bryans 1st median real estate price is $145,011, which is less expensive than 83.2% of Texas neighborhoods and 88.1% of all U.S. neighborhoods.
The average rental price in Allen Forest / Bryans 1st is currently $1,957, based on Ä¢¹½ÊÓƵ's exclusive analysis. The average rental cost in this neighborhood is higher than 62.1% of the neighborhoods in Texas.
Allen Forest / Bryans 1st is a suburban neighborhood (based on population density) located in Bryan, Texas.
Allen Forest / Bryans 1st real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and townhomes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Allen Forest / Bryans 1st neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Home and apartment vacancy rates are 7.0% in Allen Forest / Bryans 1st. Ä¢¹½ÊÓƵ analysis shows that this rate is lower than 52.4% 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 Ä¢¹½ÊÓƵ's exclusive exploration and analysis.
People
An interesting characteristic about the Allen Forest / Bryans 1st neighborhood is that there are more incarcerated people living here than 99.2% of neighborhoods in the U.S. The United States has the highest rate of incarceration in the world, currently with 1 out of every 100 adults in the country are incarcerated as a punishment for crimes committed. The extremely high incarceration rate of this neighborhood could mean that a prison, juvenile detention facility or other correctional facility occupies a large proportion of the neighborhood, or contains a large portion of the neighborhood's population.
Real Estate
Some neighborhoods are made up of apartments. Some consist of row houses, and most - by far - consist of a mixture of housing types. But the Allen Forest / Bryans 1st neighborhood stands out due to the total dominance of detached, single-family homes here. There are nearly no other types of residential real estate in the neighborhood. In fact, this neighborhood has a higher proportion of single-family homes in its real estate stock than 96.5% of all American neighborhoods.
Diversity
Significantly, 0.7% of its residents five years old and above primarily speak Urdu, which is the national language of Pakistan, at home. While this may seem like a small percentage, it is higher than 96.1% of the neighborhoods in America.
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 Allen Forest / Bryans 1st neighborhood in Bryan are lower-middle income, making it a below average income neighborhood. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 84.0% of U.S. neighborhoods. With 19.0% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 68.0% 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 Allen Forest / Bryans 1st neighborhood, 30.5% 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 manufacturing and laborer occupations, with 27.2% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (24.9%), and 16.4% in executive, management, and professional occupations.
Languages
The most common language spoken in the Allen Forest / Bryans 1st neighborhood is English, spoken by 57.3% of households. Some people also speak Spanish (42.3%).
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 Allen Forest / Bryans 1st neighborhood in Bryan, TX, residents most commonly identify their ethnicity or ancestry as Mexican (51.5%). There are also a number of people of Irish ancestry (4.9%), and residents who report German roots (2.3%), and some of the residents are also of English ancestry (1.2%). In addition, 11.4% 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 Allen Forest / Bryans 1st neighborhood spend under 15 minutes commuting one-way to work (43.7% of working residents), one of the shortest commutes across America.
Here most residents (86.1%) drive alone in a private automobile to get to work. In addition, quite a number also hop out the door and walk to work to get to work (6.1%) . 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.
