This is a small community in a single neighborhood.
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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.
Darlington is a very small city located in the state of Wisconsin. With a population of 2,509 people and just one neighborhood, Darlington is the 283rd largest community in Wisconsin. Much of the housing stock in Darlington was built prior to World War II, making it one of the older and more historic cities in the country.
Occupations and Workforce
Because occupations involving physical labor dominate the local economy, Darlington is generally considered to be a blue-collar town. 37.25% of the Darlington workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Darlington is a city of sales and office workers, professionals, and production and manufacturing workers. There are especially a lot of people living in Darlington who work in office and administrative support (11.59%), management occupations (9.89%), and sales jobs (9.46%).
Also of interest is that Darlington has more people living here who work in computers and math than 95% of the places in the US.
One interesting thing about the economy is that relatively large numbers of people worked from their home: 7.67% 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
The overall crime rate in Darlington is one of the lowest in the US. This makes it one of the safer places to live in the country in terms of crime.
Compared to the rest of the country, citizens of Darlington spend much less time in their cars: on average, their commute to work is only 19.04 minutes. This also means that noise and pollution levels in the city are less than they would otherwise be.
As is often the case in a small city, Darlington doesn't have a public transportation system that people use for their commute.
Demographics
The percentage of adults in Darlington who are college-educated is close to the national average for all communities of 21.84%: 18.18% of the adults in Darlington have a bachelor's degree or advanced degree.
The per capita income in Darlington in 2022 was $31,120, which is lower middle income relative to Wisconsin, and middle income relative to the rest of the US. This equates to an annual income of $124,480 for a family of four. However, Darlington contains both very wealthy and poor people as well.
Darlington is a somewhat ethnically-diverse city. The people who call Darlington home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Darlington residents report their race to be White, followed by Asian. Darlington also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 12.35% of the city’s residents. Important ancestries of people in Darlington include German, Irish, English, Norwegian, and Swiss.
The most common language spoken in Darlington is English. Other important languages spoken here include Spanish and Chinese.
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 3.7% of the workforce so employed, this neighborhood has a greater concentration of such workers than 95.3% of U.S. neighborhoods.
Real Estate
This neighborhood has wide open spaces, few people, and lots of space to stretch out. If you like locations that fit that description, you may like this neighborhood. Based on NeighborhoodScout's exclusive analysis, with only 40 people per square mile living here, this neighborhood is less crowded than 90.9% of America.
Diversity
Did you know that the neighborhood has more Swiss and Norwegian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 6.2% of this neighborhood's residents have Swiss ancestry and 11.3% have Norwegian 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 Darlington are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 63.6% of U.S. neighborhoods. With 13.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 57.1% of U.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, 34.3% 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 31.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (17.3%), and 13.6% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 88.3% of households. Some people also speak Spanish (8.5%).
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 Darlington, WI, residents most commonly identify their ethnicity or ancestry as German (23.0%). There are also a number of people of Irish ancestry (15.6%), and residents who report English roots (11.8%), and some of the residents are also of Norwegian ancestry (11.3%), along with some Swiss ancestry residents (6.2%), 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 under 15 minutes commuting one-way to work (50.7% of working residents), one of the shortest commutes across America.
Here most residents (74.8%) 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 (9.3%) and 6.7% of residents also hop out the door and walk to work for their daily commute. 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.
