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.
Bigelow median real estate price is $272,914, which is more expensive than 47.3% of the neighborhoods in Texas and 34.5% of the neighborhoods in the U.S.
The average rental price in Bigelow is currently $1,959, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 41.6% of Texas neighborhoods.
Bigelow is a rural neighborhood (based on population density) located in Santa Fe, Texas.
Bigelow real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and mobile homes. Most of the residential real estate is owner occupied. Many of the residences in the Bigelow neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Real estate vacancies in Bigelow are 5.6%, which is lower than one will find in 62.4% of American neighborhoods. Demand for real estate in Bigelow is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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 Santa Fe, the Bigelow neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
Of note is NeighborhoodScout's research finding that the Bigelow 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 Bigelow community truly stands out from the rest in this regard.
In addition, neighborhoodScout's exclusive research revealed that 94.7% of the adult residents in the Bigelow neighborhood do not have a 4-year college degree, which is a lower rate of college graduated adults than found in 97.0% of the neighborhoods in America.
Car Ownership
Most American households own a car or other vehicle. Many own two cars or perhaps three. In the United States, it is useful to have an automobile not only for commuting, but also for shopping and getting to other services one needs. But NeighborhoodScout's analysis revealed that households in the Bigelow neighborhood have a highly unusual car ownership. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 54.3% of the households here have four, five, or more cars. That is more cars per household than in 99.8% of the neighborhoods in the nation.
Modes of Transportation
While most Americans do drive to work alone each day, the Bigelow neighborhood stands out by having 93.5% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 99.0% of all American neighborhoods.
Real Estate
Owner-occupied real estate dominates the Bigelow neighborhood. In fact, according to NeighborhoodScout research, the percentage of residential real estate occupied by its owner is higher here than in 97.2% of neighborhoods in America.
Diversity
Did you know that the Bigelow neighborhood has more Czechoslovakian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.6% of this neighborhood's residents have Czechoslovakian ancestry.
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 Bigelow neighborhood in Santa Fe are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 49.0% of the neighborhoods in America. 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.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the Bigelow neighborhood, 32.9% of the working population is employed in manufacturing and laborer 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 25.4% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (22.8%), and 18.3% in executive, management, and professional occupations.
Languages
The most common language spoken in the Bigelow neighborhood is English, spoken by 76.3% of households. Some people also speak Spanish (23.1%).
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 Bigelow neighborhood in Santa Fe, TX, residents most commonly identify their ethnicity or ancestry as Mexican (40.2%). There are also a number of people of English ancestry (15.0%), and residents who report German roots (11.1%), and some of the residents are also of Irish ancestry (11.0%), along with some Scottish ancestry residents (3.5%), 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 Bigelow neighborhood spend between 45 minutes and one hour commuting one-way to work (48.8% of working residents), longer and tougher than most commutes in America.
Here most residents (93.5%) drive alone in a private automobile to get to work. 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.
