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.
University of Mary Hardin Baylor median real estate price is $343,088, which is more expensive than 65.4% of the neighborhoods in Texas and 49.9% of the neighborhoods in the U.S.
The average rental price in University of Mary Hardin Baylor is currently $1,607, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 60.9% of Texas neighborhoods.
University of Mary Hardin Baylor is a rural neighborhood (based on population density) located in Belton, Texas.
University of Mary Hardin Baylor real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is renter occupied. Many of the residences in the University of Mary Hardin Baylor neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1940 and 1969.
Home and apartment vacancy rates are 8.1% in University of Mary Hardin Baylor. NeighborhoodScout analysis shows that this rate is lower than 47.7% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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 Belton, the University of Mary Hardin Baylor neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
NeighborhoodScout's analysis shows that the University of Mary Hardin Baylor neighborhood has a greater concentration of residents currently enrolled in college than 99.5% of the neighborhoods in the U.S. With 64.5% of the population here attending college, this is very much a college-focused neighborhood.
In addition, one of the unique characteristics of the University of Mary Hardin Baylor neighborhood revealed by analysis is that the per capita income of residents here is lower than that found in 96.2% of the neighborhoods in America.
Also, one of the really interesting characteristics about the University of Mary Hardin Baylor neighborhood is that, according to NeighborhoodScout's exclusive research, it is an excellent choice in which to reside for college students. Due to its popularity among college students who already choose to live here, its walkability, and its above average safety from crime, the neighborhood is ideal for prospective or already-enrolled college students. Between semesters and during school breaks, you'll notice that the excitement here fluctuates with the college seasons. Despite the excitement however, parents of college-age children can rest easy knowing that this neighborhood has an above average safety rating. For each of these reasons, the neighborhood is rated among the top 4.3% of college-friendly places to live in the state of Texas.
Modes of Transportation
In the University of Mary Hardin Baylor neighborhood, walking to work is a real option for many. In fact, NeighborhoodScout's exclusive research reveals walking to and from work is the chosen way to commute for 32.4% of residents here. This is a higher proportion of walking commuters than we found in 99.2% of American neighborhoods. Get ready to put on your walking shoes if you move here!
Real Estate
Renter-occupied real estate is dominant in the University of Mary Hardin Baylor neighborhood. The percentage of rental real estate here, according to exclusive NeighborhoodScout analysis, is 84.4%, which is higher than 95.2% of the neighborhoods in America. If you were to buy and live in the property you bought here, you would be almost alone in doing so.
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 University of Mary Hardin Baylor neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 98.9% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
Diversity
Significantly, 3.2% of its residents five years old and above primarily speak French at home. While this may seem like a small percentage, it is higher than 95.7% 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 University of Mary Hardin Baylor neighborhood in Belton are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 96.2% of U.S. neighborhoods. With 49.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 93.7% of U.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 University of Mary Hardin Baylor neighborhood, 32.6% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 28.4% of the residents employed. Other residents here are employed in executive, management, and professional occupations (24.2%), and 13.9% 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 University of Mary Hardin Baylor neighborhood is English, spoken by 81.2% of households. Other important languages spoken here include Spanish, Italian and French.
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the University of Mary Hardin Baylor neighborhood in Belton, TX, residents most commonly identify their ethnicity or ancestry as Mexican (24.6%). There are also a number of people of German ancestry (16.4%), and residents who report Irish roots (11.4%), and some of the residents are also of English ancestry (8.5%), along with some Italian ancestry residents (4.7%), 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 University of Mary Hardin Baylor neighborhood spend under 15 minutes commuting one-way to work (48.0% of working residents), one of the shortest commutes across America.
Here most residents (53.7%) drive alone in a private automobile to get to work. In addition, quite a number also hop out the door and walk to work to get to work (32.4%) and 7.5% of residents also carpool with coworkers, friends, or neighbors 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.
