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.
Val Verde median real estate price is $60,598, which is less expensive than 97.6% of Texas neighborhoods and 98.1% of all U.S. neighborhoods.
The average rental price in Val Verde is currently $1,084, based on Ä¢¹½ÊÓƵ's exclusive analysis. Rents here are currently lower in price than 93.5% of Texas neighborhoods.
Val Verde is a suburban neighborhood (based on population density) located in Donna, Texas.
Val Verde real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and mobile homes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Val Verde 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 Val Verde. The current real estate vacancy rate here is 24.6%. This is higher than the rate of vacancies in 92.1% of all U.S. neighborhoods. A relatively large percentage of housing here is seasonally occupied (14.2%). This can occur in vacation areas, and occasionally it is also found in neighborhoods that are primarily filled with college students, as some apartments could be vacant when school is not in session. If you live here year round, you may find that a number of buildings in your neighborhood are actually empty.
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 Donna, the Val Verde neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Modes of Transportation
Our research reveals that 89.8% of commuters who live in the Val Verde neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 97.1% of U.S. neighborhoods.
People
Whether by choice, divorce, or unplanned pregnancy, single moms may have the toughest job in the book. Ä¢¹½ÊÓƵ's exclusive analysis reveals that the Val Verde neighborhood has more single mother households than 97.0% of the neighborhoods in the U.S. Often high concentrations of single mother homes can be a strong indicator of family and social issues such as poverty, high rates of school dropouts, crime, and other societal problems.
Real Estate
The real estate in this neighborhood consists of more mobile homes than 96.9% of all neighborhoods in America, with 35.8% of the occupied housing here being classified as mobile homes. So if you are looking for a mobile home, or you like the look and feel of mobile home parks, this neighborhood might have the setting you desire.
Diversity
Did you know that the Val Verde neighborhood has more Mexican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 81.8% of this neighborhood's residents have Mexican ancestry.
Val Verde is also pretty special linguistically. Significantly, 83.3% of its residents five years old and above primarily speak Spanish at home. This is a higher percentage than 99.0% of all U.S. neighborhoods.
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 Val Verde neighborhood in Donna are low income, making it among the lowest income neighborhoods in America. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 93.5% of U.S. neighborhoods. With 49.3% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 93.9% 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 Val Verde neighborhood, 29.8% 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 27.4% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (25.8%), and 17.0% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Val Verde neighborhood is Spanish, spoken by 83.3% of households. Some people also speak English (16.7%).
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 Val Verde neighborhood in Donna, TX, residents most commonly identify their ethnicity or ancestry as Mexican (81.8%). There are also a number of people of German ancestry (3.9%), and residents who report English roots (2.0%), and some of the residents are also of Swedish ancestry (1.6%). In addition, 22.3% 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 Val Verde neighborhood spend under 15 minutes commuting one-way to work (41.2% of working residents), one of the shortest commutes across America.
Here most residents (89.8%) 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 (5.1%) . 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.
