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.
Lisbon is a very small city located in the state of North Dakota. With a population of 2,185 people and just one neighborhood, Lisbon is the 42nd largest community in North Dakota. Lisbon has a large stock of pre-World War II architecture, making it one of the older and more historic cities in the country.
Occupations and Workforce
Lisbon is a blue-collar town, with 38.62% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Lisbon is a city of production and manufacturing workers, service providers, and sales and office workers. There are especially a lot of people living in Lisbon who work in healthcare suport services (9.63%), management occupations (9.29%), and office and administrative support (9.06%).
Setting & Lifestyle
One of the benefits of Lisbon is that there is very little traffic. The average commute to work is 19.08 minutes, which is substantially less than the national average. Not only does this mean that the drive to work is less aggravating, but noise and pollution levels are lower as a result.
Being a small city, Lisbon does not have a public transit system used by locals to get to and from work.
Demographics
The education level of Lisbon citizens is a little higher than the average for US cities and towns: 24.09% of adults in Lisbon have at least a bachelor's degree.
The per capita income in Lisbon in 2022 was $30,473, which is low income relative to North Dakota, and middle income relative to the rest of the US. This equates to an annual income of $121,892 for a family of four. However, Lisbon contains both very wealthy and poor people as well.
Lisbon is a somewhat ethnically-diverse city. The people who call Lisbon home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Lisbon residents report their race to be White, followed by Black or African-American. Important ancestries of people in Lisbon include German, Norwegian, French, Irish, and English.
The most common language spoken in Lisbon is English. Other important languages spoken here include Italian and Chinese.
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 Lisbon, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
If you are planning to retire in North Dakota, this neighborhood should be on your must-see list. For many reasons, may be considered a retiree's dream neighborhood. According to NeighborhoodScout's exclusive analysis and metrics, it's peaceful and quiet, has above average safety from crime compared to other neighborhoods in North Dakota, while also offering a diverse range of housing options. This, along with the vibrant mix of very educated seniors and other age groups who choose to live here, makes the neighborhood more retiree-friendly than 96.9% of neighborhoods in ND. If a North Dakota retirement is in your future, this neighborhood should be one of the places you visit.
Diversity
Did you know that the neighborhood has more Norwegian and Yugoslav ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 34.3% of this neighborhood's residents have Norwegian ancestry and 1.7% have Yugoslav 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 Lisbon are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 61.8% of U.S. neighborhoods. With 31.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 83.0% 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, 39.6% 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 23.3% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (18.2%), and 18.2% 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 96.4% of households. Some people also speak Italian (4.3%).
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 Lisbon, ND, residents most commonly identify their ethnicity or ancestry as German (39.5%). There are also a number of people of Norwegian ancestry (34.3%), and residents who report Irish roots (4.9%), and some of the residents are also of French ancestry (4.5%), along with some English ancestry residents (3.9%), 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 (44.1% of working residents), one of the shortest commutes across America.
Here most residents (78.0%) 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 (13.0%) . 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.
