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.
Spring Green is a very small village located in the state of Wisconsin. With a population of 1,537 people and just one neighborhood, Spring Green is the 337th largest community in Wisconsin.
Occupations and Workforce
Unlike some villages where white-collar or blue-collar occupations dominate the local economy, Spring Green is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Spring Green is a village of professionals, managers, and sales and office workers. There are especially a lot of people living in Spring Green who work in management occupations (11.41%), teaching (11.04%), and healthcare (9.18%).
Telecommuters are a relatively large percentage of the workforce: 15.29% 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
Spring Green is a good choice for families with children because of several factors. Many other families with children live here, making it a place where both parents and children are more likely to develop social ties with other families. The village’s good public school district and large population of college-educated adults provide an environment conducive to academic success. Many people own their own single-family homes, providing areas for children to play and stability in the community. Finally, Spring Green’s overall crime rate ranks among the lowest in the country, making it one of the safest places to raise a family.
As is often the case in a small village, Spring Green doesn't have a public transportation system that people use for their commute.
Demographics
The population of Spring Green is very well educated relative to most cities and towns in the nation, where the average community has 21.84% of its adult population holding a 4-year degree or higher: 39.55% of adults in Spring Green have a bachelor's degree or even advanced degree.
The per capita income in Spring Green in 2022 was $42,016, which is upper middle income relative to Wisconsin and the nation. This equates to an annual income of $168,064 for a family of four.
The people who call Spring Green home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Spring Green residents report their race to be White, followed by Asian. Important ancestries of people in Spring Green include German, Irish, Norwegian, English, and Polish.
The most common language spoken in Spring Green is English. Other important languages spoken here include German/Yiddish and Japanese.
Notable & Unique Neighborhood Characteristics
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Occupations
Each year, fewer and fewer Americans make their living as farmers, foresters, or fishers. But the neighborhood truly stands out among U.S. neighborhoods. According to exclusive NeighborhoodScout analysis, this neighborhood has a greater proportion of farmers, foresters, or fishers than 96.0% of all American neighborhoods. This is truly a unique cultural characteristic of this neighborhood.
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 43 people per square mile living here, this neighborhood is less crowded than 90.4% of America.
People
If you're nearing retirement age, or in retirement, the is an excellent choice for you to consider for top-quality retirement living. This neighborhood is rated by NeighborhoodScout as among the top 7.8% of retiree-friendly neighborhoods in Wisconsin, combining peace and quiet, safety from crime, and offering diverse housing options from which retirees can choose. Maybe it's because of these amenities that a large proportion of the residents here are college educated seniors, mixed with other age groups. For these and other reasons, NeighborhoodScout identifies this neighborhood as a top-notch place to consider if you are thinking of or planning to retire in Wisconsin.
Diversity
Did you know that the neighborhood has more German and Norwegian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 43.7% of this neighborhood's residents have German ancestry and 7.6% have Norwegian 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 Spring Green are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 60.4% of the neighborhoods in America. In addition, 2.5% 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 72.8% 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, 43.4% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 20.1% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (20.0%), and 12.4% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 95.7% of households. Some people also speak Spanish (3.0%).
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 Spring Green, WI, residents most commonly identify their ethnicity or ancestry as German (43.7%). There are also a number of people of Irish ancestry (14.3%), and residents who report English roots (8.4%), and some of the residents are also of Norwegian ancestry (7.6%), along with some Polish ancestry residents (3.1%), 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 (42.5% of working residents), one of the shortest commutes across America.
Here most residents (74.0%) 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 (9.3%) . 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.
