This is a small community in a single neighborhood.
As throughout the site, some neighborhood-level data are reserved for subscribers.
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.
LeRoy - Waverly is a very small town located in the state of Kansas. With a population of 2,517 people and just one neighborhood, LeRoy - Waverly is the 140th largest community in Kansas. LeRoy - Waverly has a large stock of pre-World War II architecture, making it one of the older and more historic towns in the country.
Occupations and Workforce
Unlike some towns, LeRoy - Waverly isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in LeRoy - Waverly are a mix of both white- and blue-collar jobs. Overall, LeRoy - Waverly is a town of professionals, managers, and sales and office workers. There are especially a lot of people living in LeRoy - Waverly who work in management occupations (15.42%), healthcare (8.79%), and sales jobs (7.63%).
Setting & Lifestyle
As is often the case in a small town, LeRoy - Waverly doesn't have a public transportation system that people use for their commute.
Demographics
The population of LeRoy - Waverly overall has a level of education that is slightly above the US average for all US cities and towns of 21.84%. Of adults 25 and older in LeRoy - Waverly, 21.09% have at least a bachelor's degree.
The per capita income in LeRoy - Waverly in 2022 was $41,990, which is wealthy relative to Kansas, and upper middle income relative to the rest of the US. This equates to an annual income of $167,960 for a family of four. However, LeRoy - Waverly contains both very wealthy and poor people as well.
The people who call LeRoy - Waverly home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of LeRoy - Waverly residents report their race to be White, followed by Asian. Important ancestries of people in LeRoy - Waverly include German, English, Irish, European, and Scottish.
The most common language spoken in LeRoy - Waverly is English. Other important languages spoken here include Italian and Vietnamese.
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.
Real Estate
Uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 8 residents per square mile, is less crowded than 97.5% of all U.S. neighborhoods. One of the notable things about is that it is one of the quietest neighborhoods in America, according to NeighborhoodScout's exclusive analysis and quantitative rating of quietness. When you are here, you will find it to be very quiet. If quiet and peaceful are your cup of tea, you may have found a great place for you.
Car Ownership
American households most often have a car, and regularly they have two or three. But households in the neighborhood buck this trend. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 34.6% of the households here have four, five, or more cars. That is more cars per household than in 95.9% of the neighborhoods in the nation.
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 neighborhood in LeRoy - Waverly are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 59.0% of the neighborhoods in America. With 12.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 55.3% of U.S. neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the neighborhood, 42.3% 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 27.5% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (18.2%), and 10.5% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 98.9% of households.
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 neighborhood in LeRoy - Waverly, KS, residents most commonly identify their ethnicity or ancestry as German (25.5%). There are also a number of people of English ancestry (10.5%), and residents who report Irish roots (10.2%), and some of the residents are also of Scottish ancestry (2.8%), along with some Scots-Irish ancestry residents (2.1%), 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 neighborhood spend under 15 minutes commuting one-way to work (35.4% of working residents), one of the shortest commutes across America.
Here most residents (87.4%) 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 (10.8%) . 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.
