Willets median real estate price is $240,121, which is less expensive than 80.6% of Connecticut neighborhoods and 63.7% of all U.S. neighborhoods.
The average rental price in Willets is currently $1,790, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 67.4% of Connecticut neighborhoods.
Willets is an urban neighborhood (based on population density) located in New London, Connecticut.
Willets real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Willets neighborhood are relatively historic, built no later than 1939, and in some cases, quite a bit earlier. A number of residences were also built between 1940 and 1969.
Real estate vacancies in Willets are 3.6%, which is lower than one will find in 78.6% of American neighborhoods. Demand for real estate in Willets is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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.
Corner bodegas, stores on the first floor and apartments above, former grand Victorian residences converted into apartments, three-deckers built shoulder-to-shoulder, duplexes. Such building types define the real estate of neighborhoods dominated by small 2, 3, and 4 unit apartment buildings. Many are in older core neighborhoods of Eastern and Midwestern cities, or historic town centers in their hinterlands. If you wax romantic about the look and feel of such neighborhoods, with fresh pizza, falafel and an independent florist at the corner, then you might find the Willets neighborhood worth a close look. This neighborhood is an absolutely outstanding example of the dominance of small 2, 3, and 4 unit apartment buildings compared to neighborhoods across the nation, as they make up a substantial portion of this neighborhood's real estate stock. In fact, no less than 34.6% of the real estate here is made up of such dwellings, which is higher than 95.7% of all U.S. neighborhoods.
In addition, do you watch 'This Old House' on Public Television? Do you love the idea of fixing up a Colonial or Victorian era home, complete with the charm of yesteryear? Do you like to stroll or drive streets lined with gracious older residences? If you found yourself nodding yes to any of these questions, you are going to be interested in this unique neighborhood. The Willets neighborhood stands out on a national scale for the sheer concentration of historic residences it contains: 70.7% of the residential real estate here was built from 1939 or earlier, some much earlier. This is a greater concentration of historic homes than 98.6% of the neighborhoods in the United States.
With a nice mix of college students, safety from crime, and decent walkability, the Willets neighborhood rates highly as a college student friendly place to live, and one that college students and their parents may want to consider. NeighborhoodScout's analysis shows that it rates more highly for a good place for college students to live than 89.1% of the neighborhoods in CT. This often also means that the area has certain amenities and services geared towards college students, from undergraduates to graduate students.
Did you know that the Willets neighborhood has more West Indian and Puerto Rican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 0.3% of this neighborhood's residents have West Indian ancestry and 12.4% have Puerto Rican ancestry.
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 Willets neighborhood in New London are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 44.4% of the neighborhoods in America. With 36.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 85.6% of U.S. neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the Willets neighborhood, 38.7% 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 23.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (20.4%), and 17.4% in clerical, assistant, and tech support occupations.
The most common language spoken in the Willets neighborhood is English, spoken by 71.2% of households. Some people also speak Spanish (19.7%).
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 Willets neighborhood in New London, CT, residents most commonly identify their ethnicity or ancestry as Irish (15.9%). There are also a number of people of Puerto Rican ancestry (12.4%), and residents who report Italian roots (9.8%), and some of the residents are also of English ancestry (8.4%), along with some Asian ancestry residents (7.0%), among others. In addition, 22.6% of the residents of this neighborhood were born in another country.
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 Willets neighborhood spend between 15 and 30 minutes commuting one-way to work (45.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (85.5%) 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 (8.3%) . 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 November 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 2021 calendar year; released from FBI in Oct. 2022 (latest available). Updated annually. Where is 2022 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
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