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.
N la Homa Rd / Trey Leal Ave median real estate price is $133,693, which is less expensive than 86.4% of Texas neighborhoods and 90.4% of all U.S. neighborhoods.
The average rental price in N la Homa Rd / Trey Leal Ave is currently $1,263, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 89.0% of Texas neighborhoods.
N la Homa Rd / Trey Leal Ave is a suburban neighborhood (based on population density) located in Mission, Texas.
N la Homa Rd / Trey Leal Ave real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and mobile homes. Most of the residential real estate is owner occupied. Many of the residences in the N la Homa Rd / Trey Leal Ave neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Vacant apartments or homes are a major fact of life in N la Homa Rd / Trey Leal Ave. The current real estate vacancy rate here is 16.7%. This is higher than the rate of vacancies in 81.4% 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.
Notable & Unique Neighborhood Characteristics
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Occupations
It used to be that most Americans lived on the farm, or otherwise made their living from the land, the forests, or the sea. With global trade and an economy increasingly based on providing services to one another, fewer people farm, fish or harvest timber now than at any time in American history. But according to NeighborhoodScout's leading analysis, the N la Homa Rd / Trey Leal Ave neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 14.4% of the workforce so employed, this neighborhood has a greater concentration of such workers than 99.4% of U.S. neighborhoods.
People
Of note, 69.9% of the children in this area live in poverty; an extraordinarily high percentage compared to other neighborhoods in the nation. In a nation where approximately one in four children grows up in poverty, this neighborhood stands out for the depth of the problem manifested here.
In addition, the N la Homa Rd / Trey Leal Ave neighborhood is unique for having just 5.0% of adults here having earned a bachelor's degree. This is a lower rate of college graduates than NeighborhoodScout found in 97.2% of America's neighborhoods.
Diversity
Did you know that the N la Homa Rd / Trey Leal Ave neighborhood has more Mexican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 98.4% of this neighborhood's residents have Mexican ancestry.
N la Homa Rd / Trey Leal Ave is also pretty special linguistically. Significantly, 94.8% of its residents five years old and above primarily speak Spanish at home. This is a higher percentage than 99.9% of all U.S. neighborhoods.
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 N la Homa Rd / Trey Leal Ave neighborhood in Mission are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 88.0% of U.S. neighborhoods. With 69.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 98.5% 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 N la Homa Rd / Trey Leal Ave neighborhood, 36.4% of the working population is employed in manufacturing and laborer 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 32.6% of the residents employed. Other residents here are employed in farming, forestry, or commercial fishing (14.4%), and 9.9% in executive, management, and professional occupations.
Languages
The most common language spoken in the N la Homa Rd / Trey Leal Ave neighborhood is Spanish, spoken by 94.8% of households. Some people also speak English (5.2%).
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 N la Homa Rd / Trey Leal Ave neighborhood in Mission, TX, residents most commonly identify their ethnicity or ancestry as Mexican (98.4%). In addition, 35.9% of the residents of this neighborhood were born in another country.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in N la Homa Rd / Trey Leal Ave neighborhood spend between 15 and 30 minutes commuting one-way to work (47.7% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (74.6%) 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 (18.5%) and 5.1% of residents also hop out the door and walk to work for their daily commute. 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.
