Fair Haven median real estate price is $471,303, which is more expensive than 61.2% of the neighborhoods in Virginia and 66.2% of the neighborhoods in the U.S.
The average rental price in Fair Haven is currently $2,382, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 76.5% of the neighborhoods in Virginia.
Fair Haven is a densely urban neighborhood (based on population density) located in Alexandria, Virginia.
Fair Haven 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 single-family homes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Fair Haven neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Fair Haven are 5.8%, which is lower than one will find in 64.4% of American neighborhoods. Demand for real estate in Fair Haven 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.
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Alexandria, the Fair Haven neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
The Fair Haven neighborhood has a greater proportion of government workers living in it than 97.8% of the neighborhoods in America, according to NeighborhoodScout's exclusive analysis. This is a unique feature of this neighborhood, and one that shapes its character.
If you like to ride the train to work, this neighborhood may be for you. NeighborhoodScout's research revealed that 27.5% of the Fair Haven neighborhood's commuters ride the train to and from work each day, which is more than we found in 97.3% of America's neighborhoods.
Significantly, 6.0% of its residents five years old and above primarily speak French at home. While this may seem like a small percentage, it is higher than 98.1% 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 Fair Haven neighborhood in Alexandria are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 78.7% of the neighborhoods in America. With 15.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 59.9% 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 Fair Haven neighborhood, 57.6% 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 28.9% of the residents employed. Other residents here are employed in government jobs, whether they are in local, state, or federal positions (16.5%), and 6.9% 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 Fair Haven neighborhood is English, spoken by 66.9% of households. Other important languages spoken here include Spanish, French and African languages.
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 Fair Haven neighborhood in Alexandria, VA, residents most commonly identify their ethnicity or ancestry as Asian (11.9%). There are also a number of people of German ancestry (9.7%), and residents who report Sub-Saharan African roots (8.8%), and some of the residents are also of Irish ancestry (6.9%), along with some English ancestry residents (6.1%), among others. In addition, 33.9% 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 Fair Haven neighborhood spend between 30 and 45 minutes commuting one-way to work (34.9% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (57.5%) drive alone in a private automobile to get to work. In addition, quite a number also take the train to get to work (27.5%) and 11.8% 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.
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 VA* | Quality Rating Compared to Nation* |
---|---|---|---|
Cameron Elem School
3434 Campbell Dr Alexandria, VA 22303 |
PK-06 | ||
Edison High School
5801 Franconia Rd Alexandria, VA 22310 |
09-12 | ||
Mount Eagle Elem School
6116 N Kings Hwy Alexandria, VA 22303 |
PK-06 | ||
Twain Middle School
4700 Franconia Rd Alexandria, VA 22310 |
07-08 | ||
* 10 is highest |
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
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
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.