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.
Mount Beulah / White Pond median real estate price is $97,316, which is less expensive than 93.6% of South Carolina neighborhoods and 95.5% of all U.S. neighborhoods.
The average rental price in Mount Beulah / White Pond is currently $1,561, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 62.4% of South Carolina neighborhoods.
Mount Beulah / White Pond is a remote neighborhood (based on population density) located in Windsor, South Carolina.
Mount Beulah / White Pond real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) mobile homes and single-family homes. Most of the residential real estate is owner occupied. Many of the residences in the Mount Beulah / White Pond 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 Mount Beulah / White Pond. The current real estate vacancy rate here is 30.7%. This is higher than the rate of vacancies in 95.0% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, 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 Windsor, the Mount Beulah / White Pond neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
The Mount Beulah / White Pond neighborhood stands out for having the majority of its residential real estate made up of mobile homes. In fact, 56.9% of the occupied real estate here are mobile homes, which is a greater proportion than is found in 99.5% of the neighborhoods in the U.S. If you like mobile homes, this might be a great neighborhood in which to look for real estate.
In addition, despite all of the residential real estate here in the Mount Beulah / White Pond neighborhood, NeighborhoodScout has discovered that much of it is vacant. In resort or second-home vacation areas, this naturally occurs because homes and apartments are seasonally occupied, and empty for a portion of the year. In non-vacation or resort areas, however, this can be an indicator of property abandonment or a weak real estate market. The vacancy rate here is 30.7%, which is higher than 95.0% of all U.S. neighborhoods.
Modes of Transportation
Our research reveals that 91.8% of commuters who live in the Mount Beulah / White Pond neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 98.0% of U.S. neighborhoods.
People
With a nice mix of college students, safety from crime, and decent walkability, the Mount Beulah / White Pond neighborhood rates highly as a college student friendly place to live, and one that college students and their parents may want to consider. NeighborhoodScout's analysis shows that it rates more highly for a good place for college students to live than 89.8% of the neighborhoods in SC. This often also means that the area has certain amenities and services geared towards college students, from undergraduates to graduate students.
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. More residents of the Mount Beulah / White Pond neighborhood live here today that also were living in this same neighborhood five years ago than is found in 95.7% of U.S. neighborhoods. This neighborhood is really made up of people who know each other, don't move often, and have lived here in this very neighborhood for quite a while.
Diversity
Did you know that the Mount Beulah / White Pond neighborhood has more Scots-Irish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.1% of this neighborhood's residents have Scots-Irish 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 Mount Beulah / White Pond neighborhood in Windsor are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 86.3% of U.S. neighborhoods. With 12.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 55.7% of U.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 Mount Beulah / White Pond neighborhood, 36.0% 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 manufacturing and laborer occupations, with 32.5% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (18.5%), and 13.0% in executive, management, and professional 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 Mount Beulah / White Pond neighborhood is English, spoken by 87.8% of households. Other important languages spoken here include Spanish and Italian.
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 Mount Beulah / White Pond neighborhood in Windsor, SC, residents most commonly identify their ethnicity or ancestry as English (10.6%). There are also a number of people of Irish ancestry (9.8%), and residents who report Mexican roots (8.1%), and some of the residents are also of German ancestry (7.9%), along with some Italian ancestry residents (4.5%), among others.
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 Mount Beulah / White Pond neighborhood spend between 30 and 45 minutes commuting one-way to work (50.3% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (91.8%) 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 (6.5%) . 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.
