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 Iowa. With a population of 2,208 people and just one neighborhood, Lisbon is the 249th largest community in Iowa.
Occupations and Workforce
Unlike some cities where white-collar or blue-collar occupations dominate the local economy, Lisbon is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Lisbon is a city of service providers, sales and office workers, and managers. There are especially a lot of people living in Lisbon who work in management occupations (13.23%), office and administrative support (11.92%), and maintenance occupations (9.09%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 9.52% 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
Because of many things, Lisbon is a very good place for families to consider. With an enviable combination of good schools, low crime, college-educated neighbors who tend to support education because of their own experiences, and a high rate of home ownership in predominantly single-family properties, Lisbon really has some of the features that families look for when choosing a good community to raise children. Is Lisbon perfect? Of course not, and if you like frenetic nightlife, it will be far from your cup of tea. But overall this is a solid community, with many things to recommend it as a family-friendly place to live.
Demographics
In terms of college education, Lisbon is somewhat better educated than the 21.84% who have a 4-year degree or higher in the typical US community: 27.23% of adults 25 and older in the city have at least a bachelor's degree.
The per capita income in Lisbon in 2018 was $45,563, which is wealthy relative to Iowa and the nation. This equates to an annual income of $182,252 for a family of four.
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 Native American. Important ancestries of people in Lisbon include German, Irish, Norwegian, English, and Czech.
The most common language spoken in Lisbon is English. Other important languages spoken here include Spanish and Polish.
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.
People
Of note is NeighborhoodScout's research finding that the neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the community truly stands out from the rest in this regard.
In addition, according to NeighborhoodScout's exclusive analysis, is among the best neighborhoods for families in Iowa. In fact, this neighborhood is more family-friendly than 96.5% of neighborhoods in the entire state of Iowa. Its combination of top public schools, low crime rates, and owner-occupied single family homes gives this area the look and feel of a "Leave It to Beaver" episode. Many other families also live here, making it easy to socialize and develop a strong sense of community. In addition, the high number of college-educated parents influences the academic success of the local schools. Overall, you will find all of the amenities a family needs to thrive in the neighborhood.
Real Estate
Owner-occupied real estate dominates the neighborhood. In fact, according to NeighborhoodScout research, the percentage of residential real estate occupied by its owner is higher here than in 95.9% of neighborhoods in America.
Diversity
Did you know that the neighborhood has more Lebanese and Swiss ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.0% of this neighborhood's residents have Lebanese ancestry and 2.0% have Swiss 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 Lisbon are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 83.3% of the neighborhoods in America. In addition, 0.0% 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 100.0% of America'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, 32.9% 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 30.6% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (20.9%), and 15.5% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 100.0% of households.
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the neighborhood in Lisbon, IA, residents most commonly identify their ethnicity or ancestry as German (25.3%). There are also a number of people of Irish ancestry (12.1%), and residents who report English roots (9.8%), and some of the residents are also of Norwegian ancestry (3.5%), along with some Scottish ancestry residents (3.0%), among others.
Getting to Work
How you get to work – car, bus, train or other means – and how much of your day it takes to do so is a large quality of life and financial issue. Especially with gasoline prices rising and expected to continue doing so, the length and means of one's commute can be a financial burden. Some neighborhoods are physically located so that many residents have to drive in their own car, others are set up so many walk to work, or can take a train, bus, or bike. The greatest number of commuters in neighborhood spend between 15 and 30 minutes commuting one-way to work (67.3% of working residents), which is shorter than the time spent commuting to work for most Americans.
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.
