Langston Hughes median real estate price is $91,017, which is less expensive than 97.6% of Maryland neighborhoods and 93.5% of all U.S. neighborhoods.
The average rental price in Langston Hughes is currently $1,276, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 89.9% of Maryland neighborhoods.
Langston Hughes is a densely urban neighborhood (based on population density) located in Baltimore, Maryland.
Langston Hughes real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) townhomes 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 Langston Hughes neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built before 1940.
Vacant apartments or homes are a major fact of life in Langston Hughes. The current real estate vacancy rate here is 40.1%. This is higher than the rate of vacancies in 97.2% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually 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.
Many people dream of living along a street lined with row houses or other attached homes. Such places do often have an abundance of charm. If you are one of these people, the Langston Hughes neighborhood could be your paradise. With 86.3% of the homes and real estate here classified as rowhouses or other attached homes, this neighborhood brims with opportunity to find the right place for you. Only 0.1% of U.S. neighborhoods have more row houses than this neighborhood, making it one of the most interesting things about this special neighborhood.
In addition, despite all of the residential real estate here in the Langston Hughes neighborhood, NeighborhoodScout has discovered that much of it is vacant. In resort or second-home vacation areas, this naturally occurs because homes and apartments are seasonally occupied, and empty for a portion of the year. In non-vacation or resort areas, however, this can be an indicator of property abandonment or a weak real estate market. The vacancy rate here is 40.1%, which is higher than 97.2% of all U.S. neighborhoods.
Most American households own a car or other vehicle. Many own two cars or perhaps three. In the United States, it is useful to have an automobile not only for commuting, but also for shopping and getting to other services one needs. But NeighborhoodScout's analysis revealed that households in the Langston Hughes neighborhood have a highly unusual car ownership. 29.6% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 97.1% of U.S. neighborhoods.
There are more people living in the Langston Hughes neighborhood employed as sales and service workers (59.1%) than almost any neighborhood in the country. From fast-food service workers to major sales accounts, sales and service workers make up the largest proportion of our national employment picture. But despite that size and importance nationally, this neighborhood still stands out as unique due to the dominance of people living here who work in such occupations.
If you like to ride the train to work, this neighborhood may be for you. NeighborhoodScout's research revealed that 14.4% of the Langston Hughes neighborhood's commuters ride the train to and from work each day, which is more than we found in 95.4% of America's neighborhoods.
Also, more people ride the bus in this neighborhood each day to get to work than 95.2% of U.S. neighborhoods.
Did you know that the Langston Hughes neighborhood has more African and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 19.7% of this neighborhood's residents have African ancestry and 20.9% have Sub-Saharan African 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 Langston Hughes neighborhood in Baltimore are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 84.0% of U.S. neighborhoods. With 35.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 84.9% 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 Langston Hughes neighborhood, 40.9% 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 executive, management, and professional occupations, with 30.7% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (18.0%), and 10.3% in manufacturing and laborer occupations.
The most common language spoken in the Langston Hughes neighborhood is English, spoken by 99.3% of households.
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Langston Hughes neighborhood in Baltimore, MD, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (20.9%). There are also a number of people of African ancestry (19.7%), and residents who report Jamaican roots (8.4%), and some of the residents are also of French ancestry (1.1%).
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 Langston Hughes neighborhood spend between 30 and 45 minutes commuting one-way to work (48.0% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (41.9%) 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 (18.6%) and 14.4% of residents also take the train 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 MD* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Arlington Elementary School
3705 W Rogers Avenue Baltimore, MD 21215 |
PK-05 | ||
|
Booker T. Washington Middle School
1301 Mcculloh Street Baltimore, MD 21217 |
06-08 | ||
|
Pimlico Elementary/middle School
4849 Pimlico Road Baltimore, MD 21215 |
PK-08 | ||
|
Stadium School
1400 Exeter Hall Avenue Baltimore, MD 21218 |
06-08 | ||
|
Afya Public Charter School
2800 Brendan Avenue Baltimore, MD 21213 |
07-08 | ||
|
N.a.c.a. Freedom And Democracy Academy Ii School
2500 E Northern Parkway Baltimore, MD 21214 |
06-12 | ||
|
Green Street Academy School
125 N Hilton Street Baltimore, MD 21229 |
06-12 | ||
|
Vanguard Collegiate Middle School
5000 Truesdale Avenue Baltimore, MD 21206 |
06-08 | ||
|
Baltimore Design School
1500 Barclay Street Baltimore, MD 21202 |
06-12 | ||
| * 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.
