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.
Orangeburg Northwest median real estate price is $285,201, which is more expensive than 49.3% of the neighborhoods in South Carolina and 35.4% of the neighborhoods in the U.S.
The average rental price in Orangeburg Northwest is currently $1,995, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 67.6% of the neighborhoods in South Carolina.
Orangeburg Northwest is a rural neighborhood (based on population density) located in Orangeburg, South Carolina.
Orangeburg Northwest 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 Orangeburg Northwest 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.
Orangeburg Northwest has a 12.5% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 71.0% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are empty.
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.
People
Single parenting is hard. But you don't have to tell the Orangeburg Northwest neighborhood about it; they already know. 20.1% of this neighborhood's households are run by single mothers, which is a higher concentration than NeighborhoodScout found in 97.0% of American neighborhoods. Further NeighborhoodScout research showed strong statistical correlations among high rates of children living in single parent households, and neighborhood crime, particularly violent crime, neighborhood poverty, and, importantly, the percentage of low weight births and rates of infant mortality.
Real Estate
Most neighborhoods are composed of a mixture of ages of homes, but the Orangeburg Northwest stands out as rather unique in having nearly all of its residential real estate built in one time period, namely between 1970 and 1999, generally considered to be established, but not old housing. What you'll sense when you look around or drive the streets of this neighborhood is that many of the residences look the same because of this similarity of age. In fact, 80.3% of the residential real estate here was built in this one time period.
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 Orangeburg Northwest neighborhood in Orangeburg are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 63.2% of U.S. neighborhoods. With 27.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 78.9% 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 Orangeburg Northwest neighborhood, 43.5% 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 24.0% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (23.4%), and 9.1% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Orangeburg Northwest neighborhood is English, spoken by 83.4% of households. Some people also speak Spanish (11.9%).
Ethnicity / Ancestry
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture – our learned behavior – comes from our ancestors. That is why ancestry and ethnicity can be so interesting and important to understand: places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. Even different neighborhoods in the same city can have drastically different cultures.
In the Orangeburg Northwest neighborhood in Orangeburg, SC, residents most commonly identify their ethnicity or ancestry as Mexican (8.5%). There are also a number of people of German ancestry (4.8%), and residents who report English roots (4.4%), and some of the residents are also of Sub-Saharan African ancestry (4.1%), along with some African ancestry residents (2.7%), 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 Orangeburg Northwest neighborhood spend between 15 and 30 minutes commuting one-way to work (48.2% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (88.1%) 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 (5.1%) . 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.
