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.
Norway is a somewhat small town located in the state of Maine. With a population of 5,236 people and just one neighborhood, Norway is the 75th largest community in Maine.
Occupations and Workforce
Norway is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Norway is a town of professionals, service providers, and sales and office workers. There are especially a lot of people living in Norway who work in office and administrative support (14.84%), teaching (7.81%), and computer science and math (6.93%).
Also of interest is that Norway has more people living here who work in computers and math than 95% of the places in the US.
Of important note, Norway is also a town of artists. Norway has more artists, designers and people working in media than 90% of the communities in America. This concentration of artists helps shape Norway’s character.
Telecommuters are a relatively large percentage of the workforce: 12.05% 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
The town is relatively quiet, having a combination of lower population density and few of those groups of people who have a tendency to be noisy. For example, Norway has relatively fewer families with younger children, and/or college students. Combined, this makes Norway a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
One downside of living in Norway, however, is that residents on average have to contend with a long commute, spending on average 30.58 minutes every day commuting to work.
Demographics
The overall education level of Norway is somewhat higher than in the average US city of 21.84%: 25.45% of adults 25 and older in the town have at least a bachelor's degree.
The per capita income in Norway in 2022 was $29,055, which is low income relative to Maine, and lower middle income relative to the rest of the US. This equates to an annual income of $116,220 for a family of four. However, Norway contains both very wealthy and poor people as well.
The people who call Norway home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Norway residents report their race to be White, followed by Black or African-American. Important ancestries of people in Norway include English, French, Irish, German, and Italian.
The most common language spoken in Norway is English. Other important languages spoken here include Italian 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 Norway, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Diversity
Did you know that the neighborhood has more French and Finnish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 16.4% of this neighborhood's residents have French ancestry and 2.8% have Finnish 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 Norway are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 74.5% of U.S. neighborhoods. With 43.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 91.3% 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, 34.8% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 22.3% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (22.1%), and 20.8% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 98.2% of households.
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 Norway, ME, residents most commonly identify their ethnicity or ancestry as English (19.0%). There are also a number of people of French ancestry (16.4%), and residents who report Irish roots (13.7%), and some of the residents are also of German ancestry (5.9%), along with some Italian ancestry residents (5.6%), 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 (30.0% of working residents), one of the shortest commutes across America.
Here most residents (73.0%) 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 (13.4%) . 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.
