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.
Kaskaskia median real estate price is $371,456, which is more expensive than 64.7% of the neighborhoods in Illinois and 50.1% of the neighborhoods in the U.S.
The average rental price in Kaskaskia is currently $1,212, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 83.3% of Illinois neighborhoods.
Kaskaskia is a remote neighborhood (based on population density) located in Chester, Illinois.
Kaskaskia real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and mobile homes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Kaskaskia 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.
Home and apartment vacancy rates are 8.1% in Kaskaskia. NeighborhoodScout analysis shows that this rate is lower than 45.9% 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 Chester, the Kaskaskia neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
In a nation where 1 out of every 4 children lives in poverty, the Kaskaskia neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
In addition, an interesting characteristic about the Kaskaskia neighborhood is that there are more incarcerated people living here than 99.8% of neighborhoods in the U.S. The United States has the highest rate of incarceration in the world, currently with 1 out of every 100 adults in the country are incarcerated as a punishment for crimes committed. The extremely high incarceration rate of this neighborhood could mean that a prison, juvenile detention facility or other correctional facility occupies a large proportion of the neighborhood, or contains a large portion of the neighborhood's population.
Also, neighborhoodScout's exclusive research revealed that 97.8% of the adult residents in the Kaskaskia neighborhood do not have a 4-year college degree, which is a lower rate of college graduated adults than found in 98.6% of the neighborhoods in America.
Modes of Transportation
Our research reveals that 92.4% of commuters who live in the Kaskaskia neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 98.8% of U.S. neighborhoods.
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 Kaskaskia neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. Residents of the Kaskaskia neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 69.1% 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 98.4% of U.S. neighborhoods. Less time commuting means more time for other things in life.
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 Kaskaskia neighborhood in Chester are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 85.4% of the neighborhoods in America. In addition, 0.0% 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 100.0% of America'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 Kaskaskia neighborhood, 34.6% 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 24.6% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (22.7%), and 18.0% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Kaskaskia neighborhood is English, spoken by 95.0% of households. Some people also speak Spanish (5.0%).
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 Kaskaskia neighborhood in Chester, IL, residents most commonly identify their ethnicity or ancestry as German (4.6%). There are also a number of people of Mexican ancestry (4.2%), and residents who report English roots (1.7%).
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 Kaskaskia neighborhood spend under 15 minutes commuting one-way to work (69.1% of working residents), one of the shortest commutes across America.
Here most residents (92.4%) 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.
