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.
Texas Street median real estate price is $143,359, which is less expensive than 73.9% of Alabama neighborhoods and 89.6% of all U.S. neighborhoods.
The average rental price in Texas Street is currently $994, based on Ä¢¹½ÊÓƵ's exclusive analysis. Rents here are currently lower in price than 89.7% of Alabama neighborhoods.
Texas Street is a suburban neighborhood (based on population density) located in Mobile, Alabama.
Texas Street 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 single-family homes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Texas Street 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 8.4% in Texas Street. Ä¢¹½ÊÓƵ analysis shows that this rate is lower than 44.9% 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
The types of households in a neighborhood can tell a lot about the character and lifestyle of those living here. Ä¢¹½ÊÓƵ's exclusive analysis reveals that this neighborhood, above nearly every neighborhood in America, has a greater percentage of its residents living alone: 59.0%. This is a higher percent living alone than we found in 98.5% of all U.S. neighborhoods. Often residents who live alone are new arrivals to an area who are single, and often senior citizens who have lost a spouse.
In addition, one of the unique characteristics of the Texas Street neighborhood revealed by analysis is that the per capita income of residents here is lower than that found in 96.0% of the neighborhoods in America.
Car Ownership
We Americans love our cars. Not only are they a necessity for most Americans due to the shape of our neighborhoods and the distances between where we live, work, shop, and go to school, but we also fancy them. As a result, most households in America have one, two, or three cars. But Ä¢¹½ÊÓƵ's exclusive analysis shows that the Texas Street neighborhood has a highly unusual pattern of car ownership. 38.7% of the households in this neighborhood don't own a car at all. This is more carless households than Ä¢¹½ÊÓƵ found in 98.0% of U.S. neighborhoods.
Modes of Transportation
If your dream is to be able to ride your bike to work each day, look no further than this unique neighborhood. With 4.6% of residents in the Texas Street neighborhood commuting on a bicycle to and from work daily, this neighborhood has more bicycle commuters than 98.0% of all neighborhoods in the U.S., according to Ä¢¹½ÊÓƵ's exclusive analysis.
Diversity
Significantly, 1.0% 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 97.5% 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 Texas Street neighborhood in Mobile 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 96.0% of U.S. neighborhoods. In addition, 4.5% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 65.8% of America'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 Texas Street neighborhood, 32.8% of the working population is employed in executive, management, and professional 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 32.5% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (19.1%), and 15.6% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Texas Street neighborhood is English, spoken by 98.7% of households.
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 Texas Street neighborhood in Mobile, AL, residents most commonly identify their ethnicity or ancestry as English (2.1%). There are also a number of people of German ancestry (1.1%).
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 Texas Street neighborhood spend between 15 and 30 minutes commuting one-way to work (67.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (73.6%) 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 (13.4%) . 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.
