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.
Mount Angel is a very small city located in the state of Oregon. With a population of 3,400 people and just one neighborhood, Mount Angel is the 111th largest community in Oregon.
Occupations and Workforce
Unlike some cities where white-collar or blue-collar occupations dominate the local economy, Mount Angel is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Mount Angel is a city of managers, service providers, and professionals. There are especially a lot of people living in Mount Angel who work in management occupations (26.23%), farm management occupations (9.06%), and sales jobs (7.71%).
Setting & Lifestyle
As is often the case in a small city, Mount Angel doesn't have a public transportation system that people use for their commute.
Demographics
In terms of college education, Mount Angel is nearly on par with the US average for all cities of 21.84%: 19.36% of adults 25 and older in Mount Angel have a bachelor's degree or advanced degree.
The per capita income in Mount Angel in 2022 was $28,738, which is lower middle income relative to Oregon and the nation. This equates to an annual income of $114,952 for a family of four. However, Mount Angel contains both very wealthy and poor people as well.
Mount Angel is an extremely ethnically-diverse city. The people who call Mount Angel home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mount Angel residents report their race to be White, followed by Asian. Mount Angel also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 39.88% of the city’s residents. Important ancestries of people in Mount Angel include German, Irish, English, Russian, and Italian.
The most common language spoken in Mount Angel is English. Other important languages spoken here include Spanish and German/Yiddish.
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 NeighborhoodScout's exclusive exploration and analysis.
Occupations
It used to be that most Americans lived on the farm, or otherwise made their living from the land, the forests, or the sea. With global trade and an economy increasingly based on providing services to one another, fewer people farm, fish or harvest timber now than at any time in American history. But according to NeighborhoodScout's leading analysis, the neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 8.9% of the workforce so employed, this neighborhood has a greater concentration of such workers than 98.7% of U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more Russian and Portuguese ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 5.0% of this neighborhood's residents have Russian ancestry and 2.3% have Portuguese 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. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the neighborhood in Mount Angel are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 41.1% of the neighborhoods in America. In addition, 3.3% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 70.4% of America'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, 48.3% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 17.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (13.2%), and 11.9% 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 72.1% of households. Some people also speak Spanish (23.9%).
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 Mount Angel, OR, residents most commonly identify their ethnicity or ancestry as Mexican (30.1%). There are also a number of people of German ancestry (23.6%), and residents who report Irish roots (10.6%), and some of the residents are also of English ancestry (8.4%), along with some Russian ancestry residents (5.0%), among others. In addition, 12.1% of the residents of this neighborhood were born in another country.
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 (33.8% of working residents), one of the shortest commutes across America.
Here most residents (87.2%) drive alone in a private automobile to get to work. 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.
