640 Vital Statistics. 21 Condition Alerts found.
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Blunt Rd / Scenery Dr median real estate price is $234,738, which is less expensive than 68.1% of Maryland neighborhoods and 68.1% of all U.S. neighborhoods.
The average rental price in Blunt Rd / Scenery Dr is currently $2,078, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 69.4% of the neighborhoods in Maryland.
Blunt Rd / Scenery Dr is an urban neighborhood (based on population density) located in Germantown, Maryland.
Blunt Rd / Scenery Dr real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) townhomes and apartment complexes/high-rise apartments. Most of the residential real estate is owner occupied. Many of the residences in the Blunt Rd / Scenery Dr neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
In Blunt Rd / Scenery Dr, the current vacancy rate is 1.2%, which is a lower rate of vacancies than 95.4% of all neighborhoods in the U.S. This means that the housing supply in Blunt Rd / Scenery Dr is very tight compared to the demand for property here.
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 Blunt Rd / Scenery Dr neighborhood could be your paradise. With 73.5% 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 0.4% 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, most neighborhoods are composed of a mixture of ages of homes, but the Blunt Rd / Scenery Dr stands out as rather unique in having nearly all of its residential real estate built in one time period, namely between 1970 and 1999, generally considered to be established, but not old housing. What you'll sense when you look around or drive the streets of this neighborhood is that many of the residences look the same because of this similarity of age. In fact, 94.1% of the residential real estate here was built in this one time period.
Furthermore, with a real estate vacancy rate of only 1.2%, the Blunt Rd / Scenery Dr neighborhood has a lower vacancy rate than 95.4% of U.S. neighborhoods, a very elite group. Such a low vacancy rate may indicate very strong real estate demand in the neighborhood combined with some impediments to increasing supply, such as zoning or existing density of development, among other potential reasons.
Did you know that the Blunt Rd / Scenery Dr neighborhood has more South American and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 8.4% of this neighborhood's residents have South American ancestry and 11.9% have Sub-Saharan African ancestry.
Blunt Rd / Scenery Dr is also pretty special linguistically. Significantly, 5.2% 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 98.9% of the neighborhoods in America.
With a nice mix of college students, safety from crime, and decent walkability, the Blunt Rd / Scenery Dr neighborhood rates highly as a college student friendly place to live, and one that college students and their parents may want to consider. NeighborhoodScout's analysis shows that it rates more highly for a good place for college students to live than 88.5% of the neighborhoods in MD. This often also means that the area has certain amenities and services geared towards college students, from undergraduates to graduate students.
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 Blunt Rd / Scenery Dr neighborhood in Germantown are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 77.3% of the neighborhoods in America. With 16.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 52.0% of U.S. neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the Blunt Rd / Scenery Dr neighborhood, 38.0% 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 31.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (16.6%), and 14.1% 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 Blunt Rd / Scenery Dr neighborhood in Germantown, MD, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (11.9%). There are also a number of people of Asian ancestry (8.9%), and residents who report South American roots (8.4%), and some of the residents are also of German ancestry (7.3%), along with some African ancestry residents (6.2%), among others. In addition, 32.7% 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 Blunt Rd / Scenery Dr neighborhood is English, spoken by 59.4% of households. Other important languages spoken here include Spanish, African languages and French.
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 Blunt Rd / Scenery Dr neighborhood spend between 45 minutes and one hour commuting one-way to work (34.0% of working residents), longer and tougher than most commutes in America.
Here most residents (75.0%) 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 (12.8%) and 6.4% 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
44 Vital Statistics. 5 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. 0 Condition Alerts 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. 0 Condition Alerts found.
| Crime | |
|---|---|
| Blunt Rd / Scenery Dr | 0.101011101001110 |
| Germantown | 0.101011101001110 |
| Maryland | 4.72 |
| Crime | |
|---|---|
| Blunt Rd / Scenery Dr | 0.101011101001110 |
| Germantown | 0.101011101001110 |
| Maryland | 22.84 |
| Crime | |
|---|---|
| Blunt Rd / Scenery Dr | 0.101011101001110 |
| Germantown | 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. 5 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. 11 Condition Alerts found.
| Time Period | Total Appreciation | Avg. Annual Rate |
Compared To
Metro* |
Compared To
America* |
|---|---|---|---|---|
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3 Year Forecast:
2018 Q2 - 2021 Q2 |
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Latest Quarter:
2017 Q4 - 2018 Q1 |
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Last 12 Months:
2017 Q1 - 2018 Q1 |
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Last 2 Years:
2016 Q1 - 2018 Q1 |
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Last 5 Years:
2013 Q1 - 2018 Q1 |
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Last 10 Years:
2008 Q1 - 2018 Q1 |
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Since 2000:
2000 Q1 - 2018 Q1 |
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| * 10 is highest | ||||
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