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.
Osceola is a somewhat small city located in the state of Iowa. With a population of 5,568 people and just one neighborhood, Osceola is the 82nd largest community in Iowa.
Occupations and Workforce
Because occupations involving physical labor dominate the local economy, Osceola is generally considered to be a blue-collar town. 38.29% of the Osceola workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Osceola is a city of service providers, professionals, and production and manufacturing workers. There are especially a lot of people living in Osceola who work in teaching (8.84%), sales jobs (8.24%), and maintenance occupations (6.70%).
Setting & Lifestyle
Osceola is a small city, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
In Osceola, just 12.43% of people have at least a bachelor's degree, which is quite a bit lower than the national average for cities and towns of 21.84%.
The per capita income in Osceola in 2022 was $33,053, which is lower middle income relative to Iowa, and middle income relative to the rest of the US. This equates to an annual income of $132,212 for a family of four. However, Osceola contains both very wealthy and poor people as well.
Osceola is an extremely ethnically-diverse city. The people who call Osceola home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Osceola residents report their race to be White, followed by Asian. Osceola also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 26.26% of the city’s residents. Important ancestries of people in Osceola include German, English, Irish, Norwegian, and European.
The most common language spoken in Osceola is English. Other important languages spoken here include Spanish and Italian.
Notable & Unique Neighborhood Characteristics
When you see a neighborhood for the first time, the most important thing is often the way it looks, like its homes and its setting. Some places look the same, but they only reveal their true character after living in them for a while because they contain a unique mix of occupational or cultural groups. This neighborhood is very unique in some important ways, according to Ä¢¹½ÊÓƵ's exclusive exploration and analysis.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 66.4% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than Ä¢¹½ÊÓƵ found in 97.9% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Occupations
The neighborhood stands out nationally for having a greater proportion of its residents active in the military than 95.5% of other U.S. neighborhoods. If you come here, you will notice military people active in their jobs, going to and from work, and in plain clothes out and about the neighborhood.
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 Osceola are lower-middle income, making it a below average income neighborhood. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 62.8% of U.S. neighborhoods. With 27.3% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 79.0% 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, 37.8% 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 30.1% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (24.2%), and 7.7% 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 82.0% of households. Other important languages spoken here include Spanish, Italian and Polish.
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 Osceola, IA, residents most commonly identify their ethnicity or ancestry as Mexican (24.0%). There are also a number of people of German ancestry (15.5%), and residents who report English roots (13.6%), and some of the residents are also of Irish ancestry (5.8%), along with some Norwegian ancestry residents (2.2%), 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 under 15 minutes commuting one-way to work (66.4% of working residents), one of the shortest commutes across America.
Here most residents (81.2%) 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 (9.9%) . 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.
