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.
Olde Whitehall South median real estate price is $478,204, which is more expensive than 75.9% of the neighborhoods in North Carolina and 63.2% of the neighborhoods in the U.S.
The average rental price in Olde Whitehall South is currently $2,781, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 88.5% of the neighborhoods in North Carolina.
Olde Whitehall South is an urban neighborhood (based on population density) located in Charlotte, North Carolina.
Olde Whitehall South 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 townhomes. Most of the residential real estate is renter occupied. Many of the residences in the Olde Whitehall South neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 9.2% in Olde Whitehall South. NeighborhoodScout analysis shows that this rate is lower than 40.7% 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 Charlotte, the Olde Whitehall South neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
Homes built from 2000 through today make up a higher proportion of the Olde Whitehall South neighborhood's real estate landscape than 98.9% of the neighborhoods in America. When you are driving around this neighborhood, you'll notice right away that it is one of the newest built of any, with the smell of fresh paint, and the look of young landscaping nearly everywhere you look. In fact, 91.6% of the residential real estate here is classified as newer. In fact, the concentration of newer homes here is so great that they completely dominate the landscape. In most neighborhoods, there is a mixture of ages of residential real estate, but here it is almost completely built during one time frame: 2000 through today.
In addition, the real estate in the Olde Whitehall South neighborhood really stands out in the way it looks for a unique reason: this neighborhood has a higher proportion of apartment complexes or high-rise apartments than nearly every neighborhood in the country. Most neighborhoods are a mixture of real estate and housing types, but here it is almost entirely dominated by big apartment buildings and complexes. In fact, 79.2% of the real estate here is classified as apartment complexes or high-rise apartments, which is more than is found in 96.6% of American neighborhoods.
Furthermore, renter-occupied real estate is dominant in the Olde Whitehall South neighborhood. The percentage of rental real estate here, according to exclusive NeighborhoodScout analysis, is 87.7%, which is higher than 96.1% 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.
Also of note, the Olde Whitehall South neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 82.7% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
Diversity
Did you know that the Olde Whitehall South neighborhood has more Sub-Saharan African and Dominican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 16.5% of this neighborhood's residents have Sub-Saharan African ancestry and 6.5% have Dominican ancestry.
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 Olde Whitehall South neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 97.8% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
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 Olde Whitehall South neighborhood in Charlotte are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 54.6% of the neighborhoods in America. In addition, 2.3% 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 73.6% 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 Olde Whitehall South neighborhood, 42.6% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 28.3% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (17.4%), and 11.7% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Olde Whitehall South neighborhood is English, spoken by 82.7% of households. Some people also speak Spanish (11.0%).
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 Olde Whitehall South neighborhood in Charlotte, NC, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (16.5%). There are also a number of people of African ancestry (8.9%), and residents who report German roots (8.2%), and some of the residents are also of Dominican ancestry (6.5%), along with some Irish ancestry residents (3.9%), among others. In addition, 19.6% of the residents of this neighborhood were born in another country.
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 Olde Whitehall South neighborhood spend under 15 minutes commuting one-way to work (40.3% of working residents), one of the shortest commutes across America.
Here most residents (74.0%) 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 (12.8%) . 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.
