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.
Scio is a tiny city located in the state of Oregon. With a population of 961 people and just one neighborhood, Scio is the 190th largest community in Oregon.
Occupations and Workforce
Unlike some cities, Scio isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Scio are a mix of both white- and blue-collar jobs. Overall, Scio is a city of professionals, construction workers and builders, and sales and office workers. There are especially a lot of people living in Scio who work in office and administrative support (12.07%), healthcare (10.50%), and law enforcement and fire fighting (6.30%).
Also of interest is that Scio has more people living here who work in computers and math than 95% of the places in the US.
One interesting thing about the economy is that relatively large numbers of people worked from their home: 11.47% of the workforce. While this number may seem small overall, as a fraction of the total workforce this is high compared to the rest of the county. 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
One downside of living in Scio is that it can take a long time to commute to work. In Scio, the average commute to work is 34.87 minutes, which is quite a bit higher than the national average.
Demographics
In Scio, just 8.61% of people over 25 hold a college degree, which is very low compared to the rest of the nation, whereas the average among all cities is 21.84%.
The per capita income in Scio in 2022 was $33,603, which is middle income relative to Oregon and the nation. This equates to an annual income of $134,412 for a family of four. However, Scio contains both very wealthy and poor people as well.
The people who call Scio home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Scio residents report their race to be White, followed by Native American. Important ancestries of people in Scio include English, German, Irish, Norwegian, and Scots-Irish.
The most common language spoken in Scio is English. Other important languages spoken here include Spanish and Slavic languages.
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.
People
Astoundingly, NeighborhoodScout's research reveals that this single neighborhood has a higher concentration of married couples living here than 96.0% of all U.S. neighborhoods. Whether they have school-aged children or not, married couples are the rule in the neighborhood. If you are a married couple, you may find many people here with a similar lifestyle, and perhaps common interests. But if you are single, you might not find many other singles here.
Diversity
Did you know that the neighborhood has more Dutch and Belgian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 7.0% of this neighborhood's residents have Dutch ancestry and 1.0% have Belgian ancestry.
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 Scio are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 51.8% of the neighborhoods in America. With 16.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 63.7% 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, 41.0% 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 24.8% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (20.7%), and 12.9% 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 92.7% of households. Some people also speak Spanish (6.2%).
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 Scio, OR, residents most commonly identify their ethnicity or ancestry as German (23.3%). There are also a number of people of English ancestry (13.0%), and residents who report Irish roots (9.9%), and some of the residents are also of Mexican ancestry (7.8%), along with some Dutch ancestry residents (7.0%), among others.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in neighborhood spend between 30 and 45 minutes commuting one-way to work (27.5% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (78.5%) 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 (8.3%) . 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.
