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.
Stephens Park median real estate price is $109,847, which is less expensive than 85.4% of Oklahoma neighborhoods and 94.3% of all U.S. neighborhoods.
The average rental price in Stephens Park is currently $1,176, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 73.2% of Oklahoma neighborhoods.
Stephens Park is a suburban neighborhood (based on population density) located in Lawton, Oklahoma.
Stephens Park real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Stephens Park neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Stephens Park has a 13.9% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 76.4% 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.
Occupations
With 5.7% of employed workers living in the Stephens Park neighborhood active in the military, this neighborhood has the distinction of having a higher proportion of people in the military than 98.8% of American neighborhoods. This is a major shaper of the neighborhood's culture and character.
Furthermore, the government often provides some of the more stable jobs in the economy. From local, to state, to federal government workers, the government can also be a major employer. What NeighborhoodScout's analysis revealed, is that the Stephens Park neighborhood in particular stands out when compared nationally for the proportion of its working residents who are employed by the government. At 16.9% of its workforce, this neighborhood has a greater concentration of government workers than 98.1% of U.S. neighborhoods.
In addition, from major sales accounts to fast-food workers, sales and service employees are often the backbone of the local economy. In the Stephens Park neighborhood, they truly stand out. NeighborhoodScout's exclusive analysis identifies this neighborhood as having a higher percentage of sales and service workers than 96.0% of all American neighborhoods.
Diversity
Significantly, 1.7% of its residents five years old and above primarily speak German/Yiddish at home. While this may seem like a small percentage, it is higher than 95.2% of the neighborhoods in America.
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 Stephens Park neighborhood in Lawton are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 82.2% of U.S. neighborhoods. With 33.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 84.8% of U.S. neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the Stephens Park neighborhood, 38.6% 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 21.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (20.8%), and 18.9% 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 Stephens Park neighborhood is English, spoken by 85.6% of households. Other important languages spoken here include Spanish and Polish.
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 Stephens Park neighborhood in Lawton, OK, residents most commonly identify their ethnicity or ancestry as Mexican (13.3%). There are also a number of people of German ancestry (11.9%), and residents who report Irish roots (6.2%), and some of the residents are also of Asian ancestry (5.3%), along with some English ancestry residents (5.0%), 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 Stephens Park neighborhood spend under 15 minutes commuting one-way to work (53.1% of working residents), one of the shortest commutes across America.
Here most residents (81.8%) 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 (8.2%) . 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.
