640 Vital Statistics. 34 Condition Alerts found.
6
Alerts
1
Alert
7
Alerts
14
Alerts
6
Alerts
Maryland Ave / W North Ave median real estate price is $223,435, which is less expensive than 71.8% of Maryland neighborhoods and 71.8% of all U.S. neighborhoods.
The average rental price in Maryland Ave / W North Ave is currently $1,122, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 91.2% of Maryland neighborhoods.
Maryland Ave / W North Ave is a densely urban neighborhood (based on population density) located in Baltimore, Maryland.
Maryland Ave / W North Ave 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 Maryland Ave / W North Ave 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.
Maryland Ave / W North Ave has a 16.2% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 78.2% 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.
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.
One of the most interesting things about the Maryland Ave / W North Ave neighborhood is that it has a greater concentration of residents who live alone than most all neighborhoods in America. With 67.6% of the households here made up of people living alone, NeighborhoodScout's research reveals that this is a larger proportion of people living alone than in 99.8% of the neighborhoods in America.
In addition, the Maryland Ave / W North Ave neighborhood stands out for having an average per capita income lower than 99.4% of the neighborhoods in the United States. Also of note, 61.8% of the children in this area live in poverty; an extraordinarily high percentage compared to other neighborhoods in the nation. In a nation where approximately one in four children grows up in poverty, this neighborhood stands out for the depth of the problem manifested here.
Our research revealed that more commuters here take the bus to work (23.4% ride the bus) than 98.0% of all American neighborhoods. If you like the idea of leaving your car and home and hopping the bus to work, this might be a good neighborhood for you to consider.
Also, in the Maryland Ave / W North Ave neighborhood, walking to work is a real option for many. In fact, NeighborhoodScout's exclusive research reveals walking to and from work is the chosen way to commute for 18.2% of residents here. This is a higher proportion of walking commuters than we found in 97.4% of American neighborhoods. Get ready to put on your walking shoes if you move here!
93.7% of the real estate in the Maryland Ave / W North Ave neighborhood is occupied by renters, which is nearly the highest rate of renter occupancy of any neighborhood in America.
In addition, the Maryland Ave / W North Ave 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 87.4% 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.
Furthermore, being a walkable neighborhood can help increase property values for the simple reason that people enjoy it and value it. To put it plainly, despite our love affair with the automobile, American's enjoy taking to the streets, sidewalks, paths, and courtyards of a place to get a coffee, relax, and take in the sights and sounds. And, according to NeighborhoodScout's exclusive and first quantitative walkable score index, the Maryland Ave / W North Ave neighborhood is one of the most walkable neighborhoods in America.
Also of note, one of the really unique and interesting things about the look and setting of the Maryland Ave / W North Ave neighborhood is that it is almost entirely dominated by large apartment buildings, such as apartment complexes or high-rise apartments. 67.0% of the residential real estate here is classified as such. This puts this neighborhood on the map as having a higher proportion of large apartment buildings than 95.2% of all neighborhoods in America.
Finally, do you watch 'This Old House' on Public Television? Do you love the idea of fixing up a Colonial or Victorian era home, complete with the charm of yesteryear? Do you like to stroll or drive streets lined with gracious older residences? If you found yourself nodding yes to any of these questions, you are going to be interested in this unique neighborhood. The Maryland Ave / W North Ave neighborhood stands out on a national scale for the sheer concentration of historic residences it contains: 63.2% of the residential real estate here was built from 1939 or earlier, some much earlier. This is a greater concentration of historic homes than 96.4% of the neighborhoods in the United States.
Did you know that the Maryland Ave / W North Ave neighborhood has more African and Lebanese ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 9.1% of this neighborhood's residents have African ancestry and 0.9% have Lebanese ancestry.
Maryland Ave / W North Ave is also pretty special linguistically. Significantly, 2.2% of its residents five years old and above primarily speak Korean at home. While this may seem like a small percentage, it is higher than 96.4% of the neighborhoods in America.
How wealthy a neighborhood is, from very wealthy, to middle income, to low income is very formative with regard to the personality and character of a neighborhood. Equally important is the rate of people, particularly children, who live below the federal poverty line. In some wealthy gated communities, the areas immediately surrounding can have high rates of childhood poverty, which indicates other social issues. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the Maryland Ave / W North Ave neighborhood in Baltimore are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 99.4% of U.S. neighborhoods. With 61.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 96.3% 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 Maryland Ave / W North Ave neighborhood, 44.6% 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 23.5% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (16.8%), and 15.0% in clerical, assistant, and tech support occupations.
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 Maryland Ave / W North Ave neighborhood in Baltimore, MD, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (9.1%). There are also a number of people of African ancestry (9.1%), and residents who report Asian roots (8.5%), and some of the residents are also of English ancestry (8.4%), along with some German ancestry residents (6.1%), among others. In addition, 14.5% of the residents of this neighborhood were born in another country.
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 Maryland Ave / W North Ave neighborhood is English, spoken by 87.1% of households. Other important languages spoken here include Spanish and Korean.
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 Maryland Ave / W North Ave neighborhood spend between 30 and 45 minutes commuting one-way to work (30.7% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (37.0%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (23.4%) and 18.2% of residents also hop out the door and walk to work 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
44 Vital Statistics. 6 Condition Alerts found.
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: 2016 (latest available). Updated annually.
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
136 Vital Statistics. 1 Condition Alert found.
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2016 calendar year; released from FBI in Sept. 2017 (latest available). Updated annually. Where is 2017 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
67 Vital Statistics. 7 Condition Alerts found.
| Crime | |
|---|---|
| Maryland Ave / W North Ave | 0.101011101001110 |
| Baltimore | 0.101011101001110 |
| Maryland | 4.72 |
| Crime | |
|---|---|
| Maryland Ave / W North Ave | 0.101011101001110 |
| Baltimore | 0.101011101001110 |
| Maryland | 22.84 |
| Crime | |
|---|---|
| Maryland Ave / W North Ave | 0.101011101001110 |
| Baltimore | 0.101011101001110 |
| Maryland | 57 |
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
65 Vital Statistics. 14 Condition Alerts found.
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLS| Discipline | District | State |
|---|---|---|
| Proficiency in Reading and Math | 0.101011101001110 | 0.101011101001110 |
| Proficiency in Reading | 0.101011101001110 | 0.101011101001110 |
| Proficiency in Math | 0.101011101001110 | 0.101011101001110 |
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
328 Vital Statistics. 6 Condition Alerts found.
| Time Period | Total Appreciation | Avg. Annual Rate |
Compared To
Metro* |
Compared To
America* |
|---|---|---|---|---|
|
3 Year Forecast:
2018 Q2 - 2021 Q2 |
||||
|
Latest Quarter:
2017 Q4 - 2018 Q1 |
||||
|
Last 12 Months:
2017 Q1 - 2018 Q1 |
||||
|
Last 2 Years:
2016 Q1 - 2018 Q1 |
||||
|
Last 5 Years:
2013 Q1 - 2018 Q1 |
||||
|
Last 10 Years:
2008 Q1 - 2018 Q1 |
||||
|
Since 2000:
2000 Q1 - 2018 Q1 |
||||
| * 10 is highest | ||||
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.
