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.
Verona is a tiny town located in the state of Missouri. With a population of 516 people and just one neighborhood, Verona is the 415th largest community in Missouri.
Occupations and Workforce
When you are in Verona, you'll notice that it is more blue-collar than most other communities in America. 56.46% of Verona’s employed work in blue-collar jobs, while America averages only 27.7% that do. Overall, Verona is a town of production and manufacturing workers, sales and office workers, and transportation and shipping workers. There are especially a lot of people living in Verona who work in office and administrative support (14.97%), maintenance occupations (8.84%), and healthcare (5.44%).
Telecommuters are a relatively large percentage of the workforce: 8.84% of people work from home. While this number may seem small overall, as a fraction of the total workforce it is high relative to the nation. 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
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!) Verona 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. Verona has few renters and college students. But the biggest reason it is quieter in Verona than in most places in America, is that there are just simply fewer people living here. If you think trees make good neighbors, Verona may be for you.
Being a small town, Verona does not have a public transit system used by locals to get to and from work.
Demographics
Verona ranks among the bottom of the nation in terms of college education compared to other cities and towns: only 3.82% of people over 25 have a college degree.
The per capita income in Verona in 2022 was $19,865, which is low income relative to Missouri and the nation. This equates to an annual income of $79,460 for a family of four. However, Verona contains both very wealthy and poor people as well.
Verona is an extremely ethnically-diverse town. The people who call Verona home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Verona residents report their race to be White, followed by Asian. Verona also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 35.67% of the town’s residents. Important ancestries of people in Verona include German, Irish, English, French, and Scandinavian.
The most common language spoken in Verona is English. Other important languages spoken here include Spanish and Polish.
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 Verona, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Car Ownership
Most American households own a car or other vehicle. Many own two cars or perhaps three. In the United States, it is useful to have an automobile not only for commuting, but also for shopping and getting to other services one needs. But NeighborhoodScout's analysis revealed that households in the neighborhood have a highly unusual car ownership. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 37.9% of the households here have four, five, or more cars. That is more cars per household than in 97.5% of the neighborhoods in the nation.
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 30 residents per square mile, is less crowded than 92.8% of all U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more Swiss and Scots-Irish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.0% of this neighborhood's residents have Swiss ancestry and 3.4% have Scots-Irish ancestry.
is also pretty special linguistically. Significantly, 8.5% 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 99.5% 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 neighborhood in Verona are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 50.6% of the neighborhoods in America. With 25.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 76.8% of U.S. neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the neighborhood, 35.3% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 32.4% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (15.3%), and 14.9% in clerical, assistant, and tech support 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 neighborhood is English, spoken by 86.1% of households. Other important languages spoken here include German/Yiddish and Spanish.
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 Verona, MO, residents most commonly identify their ethnicity or ancestry as German (25.6%). There are also a number of people of Irish ancestry (13.1%), and residents who report English roots (8.2%), and some of the residents are also of Mexican ancestry (7.4%), along with some Scottish ancestry residents (3.9%), 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 (33.1% of working residents), one of the shortest commutes across America.
Here most residents (74.2%) 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 (11.3%) . 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.
