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.
Montclair / La Prada median real estate price is $251,447, which is more expensive than 43.1% of the neighborhoods in Texas and 31.6% of the neighborhoods in the U.S.
The average rental price in Montclair / La Prada is currently $2,191, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 73.2% of the neighborhoods in Texas.
Montclair / La Prada is an urban neighborhood (based on population density) located in Garland, Texas.
Montclair / La Prada 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 Montclair / La Prada neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
In Montclair / La Prada, 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 Montclair / La Prada is very tight compared to the demand for property here.
Notable & Unique Neighborhood Characteristics
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 Garland, the Montclair / La Prada neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
With a real estate vacancy rate of only 0.0%, the Montclair / La Prada neighborhood has a lower vacancy rate than 100.0% of U.S. neighborhoods, a very elite group. Such a low vacancy rate may indicate very strong real estate demand in the neighborhood combined with some impediments to increasing supply, such as zoning or existing density of development, among other potential reasons.
In addition, most neighborhoods are composed of a mixture of ages of homes, but the Montclair / La Prada 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, 84.0% of the residential real estate here was built in this one time period.
Furthermore, if you love row houses and attached homes, you will probably really like the Montclair / La Prada neighborhood. The ambiance, the charm, of row houses is something special. And in sheer abundance of row houses, this neighborhood truly stands out. The real estate here has a higher proportion of row houses and attached homes than nearly any neighborhood in America. In fact, 24.8% of the residential real estate here is classified as row houses and attached homes.
Car Ownership
American households most often have a car, and regularly they have two or three. But households in the Montclair / La Prada neighborhood buck this trend. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 35.6% of the households here have four, five, or more cars. That is more cars per household than in 96.4% of the neighborhoods in the nation.
Diversity
Significantly, 0.7% of its residents five years old and above primarily speak Native American languages at home. While this may seem like a small percentage, it is higher than 96.2% 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 Montclair / La Prada neighborhood in Garland are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 69.8% of the neighborhoods in America. With 19.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 68.3% 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 Montclair / La Prada neighborhood, 30.8% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 28.8% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (25.2%), and 15.3% in clerical, assistant, and tech support occupations.
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 Montclair / La Prada neighborhood is English, spoken by 63.7% of households. Other important languages spoken here include Spanish and African languages.
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 Montclair / La Prada neighborhood in Garland, TX, residents most commonly identify their ethnicity or ancestry as Mexican (30.4%). There are also a number of people of English ancestry (7.4%), and residents who report German roots (3.8%), and some of the residents are also of Irish ancestry (3.2%), along with some Sub-Saharan African ancestry residents (2.7%), among others. In addition, 23.4% 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 Montclair / La Prada neighborhood spend between 30 and 45 minutes commuting one-way to work (29.3% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (75.9%) 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 (15.0%) . 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.
