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?
Ä¢¹½ÊÓƵ® 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. Ä¢¹½ÊÓƵ 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.
Waverly is a tiny town located in the state of West Virginia. With a population of 369 people and just one neighborhood, Waverly is the 221st largest community in West Virginia. Waverly has seen a significant amount of newer housing growth in recent years. Quite often, new home construction is the result of new residents moving in who are middle class or wealthier, attracted by jobs, a healthy local economy, or other amenities as they leave nearby or far away areas for greener pastures. This seems to be the case in Waverly, where the median household income is $79,539.00.
Occupations and Workforce
Because occupations involving physical labor dominate the local economy, Waverly is generally considered to be a blue-collar town. 64.71% of the Waverly workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Waverly is a town of transportation and shipping workers, professionals, and production and manufacturing workers. There are especially a lot of people living in Waverly who work in teaching (18.49%), management occupations (11.76%), and food service (5.04%).
A relatively large number of people in Waverly telecommute to their jobs. Overall, about 21.85% of the workforce works from home. While this may seem like a small number, as a fraction of the total workforce it ranks among the highest in the country. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
Setting & Lifestyle
The overall crime rate in Waverly is one of the lowest in the US. This makes it one of the safer places to live in the country in terms of crime.
It is a fairly quiet town because there are relatively few of those groups of people who have a tendency to be noisy. (Children, for example, often can't help themselves from being noisy, and being parents ourselves, we know!) Waverly has relatively few families with children living at home, and is quieter because of it. Renters and college students, for their own reasons, can also be noisy. Waverly has few renters and college students. But the biggest reason it is quieter in Waverly than in most places in America, is that there are just simply fewer people living here. If you think trees make good neighbors, Waverly may be for you.
Compared to the rest of the country, citizens of Waverly spend much less time in their cars: on average, their commute to work is only 15.08 minutes. This also means that noise and pollution levels in the town are less than they would otherwise be.
Waverly is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
The citizens of Waverly are very well educated compared to the average community in the nation: 35.38% of adults in Waverly have a bachelor's degree or even advanced degree.
The per capita income in Waverly in 2022 was $30,764, which is upper middle income relative to West Virginia, and lower middle income relative to the rest of the US. This equates to an annual income of $123,056 for a family of four. However, Waverly contains both very wealthy and poor people as well.
The people who call Waverly home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Waverly residents report their race to be White, followed by Native American. Important ancestries of people in Waverly include German, Scandinavian, Irish, European, and English.
The most common language spoken in Waverly is English. Other important languages spoken here include Polish and Italian.
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 Ä¢¹½ÊÓƵ's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
People
The neighborhood is a great option for families, as revealed by Ä¢¹½ÊÓƵ's research on this neighborhood. The combination of top public schools, low crime rates, and owner-occupied single family homes, make this neighborhood among the top 8.4% of family-friendly neighborhoods in the state of West Virginia. Many other families also live here, making it easy to socialize and develop a sense of community. In addition, families here highly value education, as is reflected by the strength of the local schools.
Diversity
Did you know that the neighborhood has more Scots-Irish and Eastern European ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 4.0% of this neighborhood's residents have Scots-Irish ancestry and 1.8% have Eastern European ancestry.
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. Ä¢¹½ÊÓƵ's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the neighborhood in Waverly are lower-middle income, making it a below average income neighborhood. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 65.6% of U.S. neighborhoods. With 12.2% 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, 40.3% 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 35.5% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (12.1%), and 11.1% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.6% of households.
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 neighborhood in Waverly, WV, residents most commonly identify their ethnicity or ancestry as German (15.5%). There are also a number of people of Irish ancestry (14.3%), and residents who report English roots (13.2%), and some of the residents are also of Scots-Irish ancestry (4.0%), along with some Italian ancestry residents (3.1%), 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 between 15 and 30 minutes commuting one-way to work (60.3% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (80.1%) 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 (9.2%) . 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.
