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.
Rutland is a tiny village located in the state of Ohio. With a population of 421 people and just one neighborhood, Rutland is the 693rd largest community in Ohio.
Occupations and Workforce
Unlike some villages where white-collar or blue-collar occupations dominate the local economy, Rutland is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Rutland is a village of service providers, construction workers and builders, and professionals. There are especially a lot of people living in Rutland who work in maintenance occupations (14.12%), healthcare (10.00%), and healthcare suport services (9.41%).
Also of interest is that Rutland has more people living here who work in computers and math than 95% of the places in the US.
Setting & Lifestyle
Rutland is a small village, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
The rate of college-level education in Rutland is quite a bit lower than the national average among all cities of 21.84%: just 12.50% of people here over 25 have a bachelor's degree or an advanced degree.
The per capita income in Rutland in 2018 was $19,320, which is low income relative to Ohio and the nation. This equates to an annual income of $77,280 for a family of four. However, Rutland contains both very wealthy and poor people as well.
The people who call Rutland home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Rutland residents report their race to be White. Important ancestries of people in Rutland include English, German, Irish, Scottish, and French.
The most common language spoken in Rutland is English. Other important languages spoken here include Spanish and Polish.
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
The real estate in this neighborhood consists of more mobile homes than 96.9% of all neighborhoods in America, with 36.0% of the occupied housing here being classified as mobile homes. So if you are looking for a mobile home, or you like the look and feel of mobile home parks, this neighborhood might have the setting you desire.
In addition, unpopulated, and rural, the neighborhood is one of the least crowded neighborhoods in all of America. If you like open space, no traffic, and lots of room, this neighborhood may be just what you are looking for. According to NeighborhoodScout's leading research, this neighborhood is less densely populated than 91.8% of the neighborhoods in America.
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 33.9% of the households here have four, five, or more cars. That is more cars per household than in 95.5% of the neighborhoods in the nation.
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. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the neighborhood in Rutland are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 92.0% of U.S. neighborhoods. With 15.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 61.9% 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 neighborhood, 32.9% 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 30.2% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (24.7%), and 11.9% in clerical, assistant, and tech support occupations.
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 Rutland, OH, residents most commonly identify their ethnicity or ancestry as German (14.1%). There are also a number of people of English ancestry (13.7%), and residents who report Irish roots (10.9%), and some of the residents are also of Italian ancestry (2.0%), along with some Scottish ancestry residents (1.6%), 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 (39.6% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (84.4%) 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 (5.9%) . 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.
