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.
Opolis median real estate price is $382,956, which is more expensive than 77.1% of the neighborhoods in Kansas and 49.9% of the neighborhoods in the U.S.
The average rental price in Opolis is currently $1,140, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 70.3% of Kansas neighborhoods.
Opolis is a rural neighborhood (based on population density) located in Pittsburg, Kansas.
Opolis real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is renter occupied. Many of the residences in the Opolis 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.
Real estate vacancies in Opolis are 3.3%, which is lower than one will find in 77.1% of American neighborhoods. Demand for real estate in Opolis 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
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.
Length of Commute
Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The Opolis neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. Residents of the Opolis neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 67.8% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 98.1% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Modes of Transportation
Our research reveals that 90.3% of commuters who live in the Opolis neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 97.5% of U.S. neighborhoods.
People
NeighborhoodScout's analysis shows that the Opolis neighborhood has a greater concentration of residents currently enrolled in college than 96.8% of the neighborhoods in the U.S. With 14.0% of the population here attending college, this is very much a college-focused neighborhood.
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 Opolis neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 96.7% 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 Opolis neighborhood in Pittsburg are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 83.3% of U.S. neighborhoods. With 13.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 57.2% 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 Opolis neighborhood, 43.0% 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 29.4% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (15.4%), and 12.3% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Opolis neighborhood is English, spoken by 96.1% of households. Some people also speak Chinese (2.0%).
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 Opolis neighborhood in Pittsburg, KS, residents most commonly identify their ethnicity or ancestry as German (20.8%). There are also a number of people of English ancestry (19.1%), and residents who report Irish roots (16.4%), and some of the residents are also of Italian ancestry (5.9%), along with some Mexican ancestry residents (5.6%), 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 Opolis neighborhood spend under 15 minutes commuting one-way to work (67.8% of working residents), one of the shortest commutes across America.
Here most residents (90.3%) 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.
