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.
Twining is a tiny village located in the state of Michigan. With a population of 141 people and just one neighborhood, Twining is the 658th largest community in Michigan.
Occupations and Workforce
Twining is a blue-collar town, with 73.97% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Twining is a village of production and manufacturing workers, construction workers and builders, and farmers, fishers, or foresters. There are especially a lot of people living in Twining who work in farm management occupations (10.96%), management occupations (6.85%), and office and administrative support (5.48%).
In addition, many people in Twining have jobs in agriculture, more so than in most other communities in America. As a result, you will see quite a number of farms around town.
Telecommuters are a relatively large percentage of the workforce: 26.03% 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 village 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, Twining has relatively fewer families with younger children, and/or college students. Combined, this makes Twining a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
In Twining, however, the average commute to work is quite long. On average, people spend 36.53 minutes each day getting to work, which is significantly higher than the national average.
Being a small village, Twining does not have a public transit system used by locals to get to and from work.
Demographics
In terms of college education, Twining ranks among the least educated cities in the nation, as only 2.08% of people over 25 have a bachelor's degree or advanced degree.
The per capita income in Twining in 2022 was $18,722, which is low income relative to Michigan and the nation. This equates to an annual income of $74,888 for a family of four. Twining also has one of the higher rates of people living in poverty in the nation, with 34.55% of its population below the federal poverty line.
The people who call Twining home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Twining residents report their race to be White, followed by Native American. Important ancestries of people in Twining include German, Polish, Irish, French, and Czech.
The most common language spoken in Twining is English. Other important languages spoken here include Polish and Spanish.
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.
Real Estate
Uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 23 residents per square mile, is less crowded than 94.1% of all U.S. neighborhoods. One of the notable things about is that it is one of the quietest neighborhoods in America, according to NeighborhoodScout's exclusive analysis and quantitative rating of quietness. When you are here, you will find it to be very quiet. If quiet and peaceful are your cup of tea, you may have found a great place for you.
In addition, despite all of the residential real estate here in the neighborhood, NeighborhoodScout has discovered that much of it is vacant. In resort or second-home vacation areas, this naturally occurs because homes and apartments are seasonally occupied, and empty for a portion of the year. In non-vacation or resort areas, however, this can be an indicator of property abandonment or a weak real estate market. The vacancy rate here is 44.7%, which is higher than 98.2% of all U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more French Canadian and Finnish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.2% of this neighborhood's residents have French Canadian ancestry and 1.1% have Finnish ancestry.
is also pretty special linguistically. Significantly, 7.4% of its residents five years old and above primarily speak Polish at home. While this may seem like a small percentage, it is higher than 96.5% of the neighborhoods in America.
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 Twining are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 80.4% of U.S. neighborhoods. With 22.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 71.9% 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, 34.1% 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 31.4% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (18.3%), and 13.8% 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 97.8% of households. Some people also speak Polish (7.4%).
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 Twining, MI, residents most commonly identify their ethnicity or ancestry as German (26.8%). There are also a number of people of Irish ancestry (12.1%), and residents who report English roots (11.1%), and some of the residents are also of Polish ancestry (8.5%), along with some French ancestry residents (4.5%), 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 (39.3% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (80.8%) 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 (10.2%) . 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.
