Assonet median real estate price is $531,676, which is more expensive than 48.1% of the neighborhoods in Massachusetts and 77.5% of the neighborhoods in the U.S.
The average rental price in Assonet is currently $2,466, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 48.6% of Massachusetts neighborhoods.
Assonet is a suburban neighborhood (based on population density) located in Freetown, Massachusetts.
Assonet real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and small apartment buildings. Most of the residential real estate is owner occupied. Many of the residences in the Assonet neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
In Assonet, the current vacancy rate is 2.1%, which is a lower rate of vacancies than 87.7% of all neighborhoods in the U.S. This means that the housing supply in Assonet is very tight compared to the demand for property here.
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.
There is an especially high percentage of incarcerated people (1.1%) living in the Assonet neighborhood.
In addition, the Assonet neighborhood is a great option for families, as revealed by NeighborhoodScout's research on this neighborhood. The combination of top public schools, low crime rates, and owner-occupied single family homes, make this neighborhood among the top 7.4% of family-friendly neighborhoods in the state of Massachusetts. Many other families also live here, making it easy to socialize and develop a sense of community. In addition, families here highly value education, as is reflected by the strength of the local schools. In addition to being an excellent choice for families with school-aged children, this neighborhood is also a very good choice for urban sophisticates.
Did you know that the Assonet neighborhood has more Portuguese and French ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 29.1% of this neighborhood's residents have Portuguese ancestry and 14.5% have French ancestry.
Assonet is also pretty special linguistically. Significantly, 8.6% of its residents five years old and above primarily speak Portuguese at home. While this may seem like a small percentage, it is higher than 99.6% of the neighborhoods in America.
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 Assonet neighborhood in Freetown are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 86.0% of the neighborhoods in America. In addition, 8.7% 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 55.7% 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 Assonet neighborhood, 40.0% 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 24.6% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (21.7%), and 13.7% in clerical, assistant, and tech support occupations.
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the Assonet neighborhood is English, spoken by 89.1% of households. Other important languages spoken here include Portuguese and Polish.
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 Assonet neighborhood in Freetown, MA, residents most commonly identify their ethnicity or ancestry as Portuguese (29.1%). There are also a number of people of Irish ancestry (17.5%), and residents who report English roots (16.3%), and some of the residents are also of French ancestry (14.5%), along with some French Canadian ancestry residents (6.9%), among others.
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 Assonet neighborhood spend between 15 and 30 minutes commuting one-way to work (34.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (93.1%) 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 (6.2%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2020 (latest available). Updated annually. Please note: Unemployment data updated February 2022.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2020 calendar year; released from FBI in Sept. 2021 (latest available). Updated annually. Where is 2021 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
There are no schools physically located in this neighborhood.
Analytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
Disclaimer
Forecasts of potential occurrences or non-occurrences of future conditions and events are inherently uncertain. Actual
results may differ materially from what is predicted in any information provided by Location Inc. Nothing contained in or
generated by a Location Inc. product or services is, or should be relied upon as, a promise or representation as to the future
performance or prediction of real estate values. No representation is made as to the accuracy of any forecast, estimate, or
projection. Location Inc. makes no express or implied warranty and all information and content is provided "As is" without
any warranties of any kind. Location Inc. expressly disclaims any warranty of accuracy or predictability, and any warranty of
merchantability and fitness for a particular purpose. Location Inc. further disclaims any liability for damages, loss, or injury
arising out of the use this site and the data. All risks associated with using the site and the data are borne by the user at
user's sole cost and expense. By using the site you agree to our
Terms of Use.