Schooleys Mountain median real estate price is $658,677, which is more expensive than 81.6% of the neighborhoods in New Jersey and 84.8% of the neighborhoods in the U.S.
The average rental price in Schooleys Mountain is currently $3,436, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 90.0% of the neighborhoods in New Jersey.
Schooleys Mountain is a suburban neighborhood (based on population density) located in Long Valley, New Jersey.
Schooleys Mountain 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 Schooleys Mountain neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
Home and apartment vacancy rates are 9.4% in Schooleys Mountain. NeighborhoodScout analysis shows that this rate is lower than 44.1% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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.
Owner-occupied real estate dominates the Schooleys Mountain neighborhood. In fact, according to NeighborhoodScout research, the percentage of residential real estate occupied by its owner is higher here than in 98.3% of neighborhoods in America.
In addition, one way that the Schooleys Mountain neighborhood really stands out, is that it has more large 4, 5, or additional bedroom homes and real estate than 97.9% of the neighborhoods in America. When you walk or drive around this neighborhood, you'll instantly notice the size of the homes here which definitely makes a strong visual statement.
Furthermore, some neighborhoods are made up of apartments. Some consist of row houses, and most - by far - consist of a mixture of housing types. But the Schooleys Mountain neighborhood stands out due to the total dominance of detached, single-family homes here. There are nearly no other types of residential real estate in the neighborhood. In fact, this neighborhood has a higher proportion of single-family homes in its real estate stock than 97.1% of all American neighborhoods.
According to NeighborhoodScout's exclusive analysis, Schooleys Mountain is among the best neighborhoods for families in New Jersey. In fact, this neighborhood is more family-friendly than 98.2% of neighborhoods in the entire state of New Jersey. Its combination of top public schools, low crime rates, and owner-occupied single family homes gives this area the look and feel of a "Leave It to Beaver" episode. Many other families also live here, making it easy to socialize and develop a strong sense of community. In addition, the high number of college-educated parents influences the academic success of the local schools. Overall, you will find all of the amenities a family needs to thrive in the Schooleys Mountain neighborhood. In addition to being an excellent choice for families with school-aged children, this neighborhood is also a very good choice for urban sophisticates and highly educated executives.
In addition, if you come to know the people here, you will recognize that you're in the company of one of the wealthiest communities in the nation. In fact, a mere 1.8% of America's neighborhoods are wealthier than the Schooleys Mountain neighborhood. Real estate here is exceedingly well-maintained, and similarly, tends to maintain its value over time. The cars driven are mostly luxury brands like Mercedes, Audi, BMW, and Lexus. If the public schools aren't up to snuff, the residents of this neighborhood preferentially send their children to private preparatory schools. Vacation to Disney? Yes, but equally popular are summers in Europe.
Did you know that the Schooleys Mountain neighborhood has more Italian and Lithuanian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 28.2% of this neighborhood's residents have Italian ancestry and 1.4% have Lithuanian ancestry.
Some neighborhoods have more internal cohesiveness than others. While other neighborhoods feel like a collection of strangers who just happen to live near each other. Sometimes this comes down to not only the personalities of the people in a place, but how long people have been together in that neighborhood. NeighborhoodScout's research has revealed some interesting things about the rootedness of people in the Schooleys Mountain neighborhood. More residents of the Schooleys Mountain neighborhood live here today that also were living in this same neighborhood five years ago than is found in 98.6% of U.S. neighborhoods. This neighborhood is really made up of people who know each other, don't move often, and have lived here in this very neighborhood for quite a while.
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 Schooleys Mountain neighborhood in Long Valley 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 98.2% of the neighborhoods in America. In addition, 9.0% 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 55.0% 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 Schooleys Mountain neighborhood, 58.2% 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 23.5% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (9.6%), and 8.4% in manufacturing and laborer occupations.
The most common language spoken in the Schooleys Mountain neighborhood is English, spoken by 92.4% of households. Some people also speak Spanish (4.5%).
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 Schooleys Mountain neighborhood in Long Valley, NJ, residents most commonly identify their ethnicity or ancestry as Italian (28.2%). There are also a number of people of Irish ancestry (23.4%), and residents who report German roots (19.3%), and some of the residents are also of English ancestry (9.9%), along with some Polish ancestry residents (5.1%), among others.
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 Schooleys Mountain neighborhood spend between 45 minutes and one hour commuting one-way to work (32.7% of working residents), longer and tougher than most commutes in America.
Here most residents (94.4%) drive alone in a private automobile to get to work. 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
| School Details | Grades | Quality Rating Compared to NJ* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Mansfield Township Elementary School
50 Port Murray Road Port Murray, NJ 07865 |
PK-06 | ||
|
Warren Hills Regional High School
41 Jackson Valley Road Washington, NJ 07882 |
09-12 | ||
|
Warren Hills Regional Middle School
64 66 Carlton Avenue Washington, NJ 07882 |
07-08 | ||
|
Flocktown-Kossmann Elementary School
90 Flocktown Road Long Valley, NJ 07853 |
PK-05 | ||
|
Long Valley Middle School
51 West Mill Rd Long Valley, NJ 07853 |
06-08 | ||
|
West Morris Central High School
259 Bartley Road Chester, NJ 07930 |
09-12 | ||
| * 10 is highest | |||
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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