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.
S Munn Ave / Chestnut St median real estate price is $272,933, which is less expensive than 93.4% of New Jersey neighborhoods and 67.0% of all U.S. neighborhoods.
The average rental price in S Munn Ave / Chestnut St is currently $1,750, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 96.6% of New Jersey neighborhoods.
S Munn Ave / Chestnut St is a densely urban neighborhood (based on population density) located in East Orange, New Jersey.
S Munn Ave / Chestnut St real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and small apartment buildings. Most of the residential real estate is renter occupied. Many of the residences in the S Munn Ave / Chestnut St neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 6.0% in S Munn Ave / Chestnut St. NeighborhoodScout analysis shows that this rate is lower than 58.9% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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.
Real Estate
The S Munn Ave / Chestnut St neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 96.8% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
In addition, the real estate in the S Munn Ave / Chestnut St neighborhood really stands out in the way it looks for a unique reason: this neighborhood has a higher proportion of apartment complexes or high-rise apartments than nearly every neighborhood in the country. Most neighborhoods are a mixture of real estate and housing types, but here it is almost entirely dominated by big apartment buildings and complexes. In fact, 93.2% of the real estate here is classified as apartment complexes or high-rise apartments, which is more than is found in 98.7% of American neighborhoods.
Furthermore, the S Munn Ave / Chestnut St neighborhood is very densely populated compared to most U.S. neighborhoods. In fact, with 42,120 persons per square mile in the neighborhood, it is more packed with people than 98.0% of the nation's neighborhoods.
Also of note, 91.4% of the real estate in the S Munn Ave / Chestnut St neighborhood is occupied by renters, which is nearly the highest rate of renter occupancy of any neighborhood in America.
People
The S Munn Ave / Chestnut St neighborhood stands out for having an average per capita income lower than 98.5% of the neighborhoods in the United States.
In addition, the types of households in a neighborhood can tell a lot about the character and lifestyle of those living here. NeighborhoodScout's exclusive analysis reveals that this neighborhood, above nearly every neighborhood in America, has a greater percentage of its residents living alone: 56.9%. This is a higher percent living alone than we found in 98.1% of all U.S. neighborhoods. Often residents who live alone are new arrivals to an area who are single, and often senior citizens who have lost a spouse.
Car Ownership
American households most often have a car, and regularly they have two or three. But households in the S Munn Ave / Chestnut St neighborhood buck this trend. 41.5% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 98.2% of U.S. neighborhoods.
Modes of Transportation
In the S Munn Ave / Chestnut St neighborhood, 17.5% of people ride the train to work each day. This is a very high percentage compared to most places. In fact, NeighborhoodScout's analysis reveals that this is a higher level of train ridership than in 97.1% of the neighborhoods in America.
Diversity
Did you know that the S Munn Ave / Chestnut St neighborhood has more Sub-Saharan African and Haitian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 21.8% of this neighborhood's residents have Sub-Saharan African ancestry and 7.0% have Haitian ancestry.
S Munn Ave / Chestnut St is also pretty special linguistically. Significantly, 8.4% of its residents five years old and above primarily speak African languages at home. While this may seem like a small percentage, it is higher than 99.5% 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 S Munn Ave / Chestnut St neighborhood in East Orange are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 98.5% of U.S. neighborhoods. With 45.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 92.4% 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 S Munn Ave / Chestnut St neighborhood, 33.9% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 28.3% of the residents employed. Other residents here are employed in executive, management, and professional occupations (23.0%), and 14.7% in clerical, assistant, and tech support occupations.
Languages
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 S Munn Ave / Chestnut St neighborhood is English, spoken by 64.9% of households. Other important languages spoken here include French, African languages and Spanish.
Ethnicity / Ancestry
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 S Munn Ave / Chestnut St neighborhood in East Orange, NJ, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (21.8%). There are also a number of people of Puerto Rican ancestry (8.3%), and residents who report Haitian roots (7.0%), and some of the residents are also of Jamaican ancestry (5.2%), along with some African ancestry residents (3.1%), among others. In addition, 39.5% of the residents of this neighborhood were born in another country.
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 S Munn Ave / Chestnut St neighborhood spend between 30 and 45 minutes commuting one-way to work (33.7% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (45.2%) drive alone in a private automobile to get to work. In addition, quite a number also take the train to get to work (17.5%) and 14.9% of residents also carpool with coworkers, friends, or neighbors for their daily commute. 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.
