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.
Texas Tech University median real estate price is $187,009, which is less expensive than 73.7% of Texas neighborhoods and 81.4% of all U.S. neighborhoods.
Average rental prices in the Texas Tech University neighborhood are currently unreported, based on NeighborhoodScout's exclusive analysis.
Texas Tech University is a rural neighborhood (based on population density) located in Lubbock, Texas.
Texas Tech University real estate is primarily made up of . Most of the residential real estate is renter occupied. Many of the residences in the Texas Tech University neighborhood are relatively historic, built no later than 1939, and in some cases, quite a bit earlier. A number of residences were also built between 1970 and 1999.
In Texas Tech University, 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 Texas Tech University is very tight compared to the demand for property here.
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.
Real Estate
This neighborhood has the distinction of having one of the lowest real estate vacancy rates of any neighborhood in America. With just 0.0% of the real estate vacant, this indicates an exceptionally strong demand for real estate in the Texas Tech University neighborhood, and/or an issue with creating enough supply for the demand. This could have the effect of increasing real estate prices, increasing supply to meet demand, or both.
People
Of note is NeighborhoodScout's research finding that the Texas Tech University neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the Texas Tech University community truly stands out from the rest in this regard.
In addition, neighborhoodScout's analysis shows that the Texas Tech University neighborhood has a greater concentration of residents currently enrolled in college than 99.9% of the neighborhoods in the U.S. With 98.1% of the population here attending college, this is very much a college-focused neighborhood.
Modes of Transportation
More people in Texas Tech University choose to walk to work each day (51.7%) than almost any neighborhood in America. If you are attracted to the idea of being able to walk to work, this neighborhood could be a good choice.
Also, if your dream is to be able to ride your bike to work each day, look no further than this unique neighborhood. With 5.3% of residents in the Texas Tech University neighborhood commuting on a bicycle to and from work daily, this neighborhood has more bicycle commuters than 98.4% of all neighborhoods in the U.S., according to NeighborhoodScout's exclusive analysis.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the Texas Tech University neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 74.7% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 99.1% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Migration / Stability
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. In the Texas Tech University neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 99.8% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
Diversity
Did you know that the Texas Tech University neighborhood has more British and Armenian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.9% of this neighborhood's residents have British ancestry and 0.7% have Armenian ancestry.
Texas Tech University is also pretty special linguistically. Significantly, 2.2% of its residents five years old and above primarily speak Vietnamese at home. While this may seem like a small percentage, it is higher than 95.0% 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 Tech University neighborhood in Lubbock are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 100.0% of U.S. neighborhoods. In addition, 0.0% 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 100.0% of America's neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the Texas Tech University neighborhood, 37.4% 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 35.3% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (24.3%), and 3.0% in manufacturing and laborer 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 Texas Tech University neighborhood is English, spoken by 80.7% of households. Other important languages spoken here include Spanish, Chinese and Vietnamese.
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 Tech University neighborhood in Lubbock, TX, residents most commonly identify their ethnicity or ancestry as German (19.6%). There are also a number of people of Mexican ancestry (18.2%), and residents who report Irish roots (11.6%), and some of the residents are also of Asian ancestry (8.7%), along with some English ancestry residents (5.2%), among others.
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 Texas Tech University neighborhood spend under 15 minutes commuting one-way to work (74.7% of working residents), one of the shortest commutes across America.
Here most residents (51.7%) hop out the door and walk to work to get to work. In addition, quite a number also drive alone in a private automobile to get to work (36.8%) and 5.6% of residents also carpool with coworkers, friends, or neighbors for their daily commute. This is a special neighborhood for the number of people who walk to work. Combining exercise, low cost, and reduced pollution, plus the chance to see your neighbors, walking to work is fairly uncommon in America but likely to increase as people try to reduce their dependence on automobiles, and this neighborhood offers that opportunity today.
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.
