31st Ave / 32nd St median real estate price is $862,656, which is more expensive than 81.6% of the neighborhoods in New York and 94.4% of the neighborhoods in the U.S.
The average rental price in 31st Ave / 32nd St is currently $2,661, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 78.0% of the neighborhoods in New York.
31st Ave / 32nd St is a densely urban neighborhood (based on population density) located in Queens, New York.
31st Ave / 32nd 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 31st Ave / 32nd St 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.
31st Ave / 32nd St has a 12.6% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 66.8% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are empty.
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.
If you like to ride the train to work, this neighborhood may be for you. NeighborhoodScout's research revealed that 86.5% of the 31st Ave / 32nd St neighborhood's commuters ride the train to and from work each day, which is more than we found in 100.0% of America's neighborhoods.
American households most often have a car, and regularly they have two or three. But households in the 31st Ave / 32nd St neighborhood buck this trend. 66.4% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 99.5% of U.S. neighborhoods.
What you'll find when you visit or move to this neighborhood is one of the most crowded neighborhoods in all of America. With an incredible 74,944 people per square mile, it is more densely populated than 99.4% of America's neighborhoods. Even if you drive or take transit to your place of employment, many people enjoy being able to walk in their neighborhood. What many people don't realize is that most of America's premier vacation locations are also very walkable. The 31st Ave / 32nd St neighborhood is among the top 5% of American neighborhoods in terms of walkability.
In addition, the real estate in the 31st Ave / 32nd 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, 84.9% of the real estate here is classified as apartment complexes or high-rise apartments, which is more than is found in 97.8% of American neighborhoods.
Furthermore, the 31st Ave / 32nd 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 88.5% 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.
Also of note, 90.8% of the real estate in the 31st Ave / 32nd St neighborhood is occupied by renters, which is nearly the highest rate of renter occupancy of any neighborhood in America.
Did you know that the 31st Ave / 32nd St neighborhood has more Greek and Brazilian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.9% of this neighborhood's residents have Greek ancestry and 2.8% have Brazilian ancestry.
31st Ave / 32nd St is also pretty special linguistically. Significantly, 3.4% of its residents five years old and above primarily speak Japanese at home. While this may seem like a small percentage, it is higher than 99.6% of the neighborhoods in America.
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. What is interesting to note, is that the 31st Ave / 32nd St neighborhood has a greater percentage of residents born in another country (42.0%) than are found in 95.1% of all U.S. neighborhoods.
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 31st Ave / 32nd St neighborhood in Queens are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 59.7% of the neighborhoods in America. In addition, 10.1% 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 59.3% 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 31st Ave / 32nd St neighborhood, 47.8% 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 26.6% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (14.9%), and 10.8% in manufacturing and laborer 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 31st Ave / 32nd St neighborhood is English, spoken by 46.4% of households. Other important languages spoken here include Spanish, Portuguese, Japanese and Korean.
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 31st Ave / 32nd St neighborhood in Queens, NY, residents most commonly identify their ethnicity or ancestry as Asian (20.0%). There are also a number of people of Italian ancestry (12.2%), and residents who report Irish roots (8.3%), and some of the residents are also of Dominican ancestry (6.0%), along with some South American ancestry residents (5.4%), among others. In addition, 42.0% of the residents of this neighborhood were born in another country.
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 31st Ave / 32nd St neighborhood spend between 30 and 45 minutes commuting one-way to work (40.1% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (86.5%) take the train to get to work. In addition, quite a number also drive alone in a private automobile to get to work (7.7%) . This neighborhood is distinguished by the high number of residents who take the train to work each day, which can be a very good way to get to work at a lower cost and with less pollution.
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: 2018 (latest available). Updated annually. Please note: Unemployment data updated November 2020.
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 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 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.
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SEE ALL SCHOOLSAnalytics 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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