What do we mean by a neighborhood?
Ä¢¹½ÊÓƵ® uses the official government designation for neighborhoods - the census tract.
Census tracts are small, relatively permanent subdivisions of a county that are defined by the U.S. Census Bureau in conjunction with local authorities all across the country to define real neighborhoods that are bounded to contain areas with homogeneous population characteristics (including economic status, lifestyle, and living conditions). Census tracts usually have 4,000 persons, but can range between 1,500 and 8,000 persons. This is the most fine-grained area for which detailed information is made available from the government, to protect the individual privacy of each of us. Because census tracts are based on population, they vary in size depending on the density of settlement. In urban areas, they are small, and in rural areas they can cover an entire small town or even a few small towns in very rural areas.
Since census tracts are subdivisions of a county, we did a spatial overlay of the census tracts onto city and town boundaries using a geographic information system to properly assign each census tract to its appropriate city or town. Then we named each census tract to the local colloquially recognized neighborhood name for that spot (e.g., Boston, MA (Dorchester). If there was not a name available, we named the census tract by the largest street intersection in the census tract (e.g., Worcester, MA (Lincoln St/Plantation St)
Why we don't use Zip Codes as neighborhoods
Zip codes were developed by the Postal Service for the purpose of delivering mail, but were never intended to define coherent neighborhoods. In addition, Zip Codes can have as many as 10 distinctly different census tracts contained within them. When distinct census tracts are blended together in a single Zip Code, the data reflects their average conditions and often gives a false sense of the area. The result is that potentially great matching neighborhoods can be missed, and erroneous matches can also be produced and delivered to you.
Using census tracts makes great matches possible, and helps people find the areas that are best for them and their families. Because we are committed to providing the highest possible quality and finding the neighborhoods that best meet your criteria, we use census tracts. And, as always, we show you the actual street map of the neighborhood so you know exactly where your best matching neighborhood is located.
What is a Condition Alert?
A condition alert is a condition in the neighborhood that triggers an alert. Ä¢¹½ÊÓƵ contains condition alerts to highlight conditions that are extreme, whether good or bad. This helps answer crucial questions about the state of the neighborhood being evaluated, such as:
What are the risks of violent crime here?
Is the risk of home break-ins or other property crimes increasing?
Does real estate here hold its value?
Are the trends in local vacancies or unemployment concerning?
...and dozens more.
Information at a glance that you need to know to invest, appraise or finance a property.
Hunt Club median real estate price is $330,404, which is more expensive than 29.7% of the neighborhoods in Maryland and 41.0% of the neighborhoods in the U.S.
The average rental price in Hunt Club is currently $2,574, based on Ä¢¹½ÊÓƵ's exclusive analysis. Rents here are currently lower in price than 52.8% of Maryland neighborhoods.
Hunt Club is a densely urban neighborhood (based on population density) located in Montgomery Village, Maryland.
Hunt Club 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 townhomes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Hunt Club 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 Hunt Club, the current vacancy rate is 2.6%, which is a lower rate of vacancies than 82.0% of all neighborhoods in the U.S. This means that the housing supply in Hunt Club is very tight compared to the demand for property here.
Notable & Unique Neighborhood Characteristics
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 Ä¢¹½ÊÓƵ's exclusive exploration and analysis.
Real Estate
Most neighborhoods are composed of a mixture of ages of homes, but the Hunt Club 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, 91.3% of the residential real estate here was built in this one time period.
In addition, one of the really unique and interesting things about the look and setting of the Hunt Club neighborhood is that it is almost entirely dominated by large apartment buildings, such as apartment complexes or high-rise apartments. 82.2% 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 97.0% of all neighborhoods in America.
Length of Commute
Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The Hunt Club neighborhood stands out for its commute length, according to Ä¢¹½ÊÓƵ's analysis. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the Hunt Club neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 10.5% of commuters here travel more than one hour just one-way to work. That is more than two hours per day. This percentage with two-hour + round-trip commutes is higher than Ä¢¹½ÊÓƵ found in 96.1% of all neighborhoods in America.
Modes of Transportation
In the Hunt Club neighborhood, 8.9% of people ride the train to work each day. This is a very high percentage compared to most places. In fact, Ä¢¹½ÊÓƵ's analysis reveals that this is a higher level of train ridership than in 95.0% of the neighborhoods in America.
Diversity
Did you know that the Hunt Club neighborhood has more Brazilian and Belgian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.2% of this neighborhood's residents have Brazilian ancestry and 1.2% have Belgian ancestry.
Hunt Club is also pretty special linguistically. Significantly, 0.9% of its residents five years old and above primarily speak Persian at home. While this may seem like a small percentage, it is higher than 97.5% of the neighborhoods in America.
Migration / Stability
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. Ä¢¹½ÊÓƵ'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 Hunt Club neighborhood has a greater percentage of residents born in another country (43.9%) than are found in 95.6% of all U.S. neighborhoods.
The Neighbors
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. Ä¢¹½ÊÓƵ's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the Hunt Club neighborhood in Montgomery Village are middle-income, making it a moderate income neighborhood. Ä¢¹½ÊÓƵ's exclusive analysis reveals that this neighborhood has a higher income than 49.7% of the neighborhoods in America. With 15.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 61.2% 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 Hunt Club neighborhood, 47.5% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 20.9% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (20.4%), and 10.4% in clerical, assistant, and tech support occupations.
Languages
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 Hunt Club neighborhood is Spanish, spoken by 41.6% of households. Other important languages spoken here include English, French and Langs. of India.
Ethnicity / Ancestry
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 Hunt Club neighborhood in Montgomery Village, MD, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (8.8%). There are also a number of people of English ancestry (8.6%), and residents who report Asian roots (8.4%), and some of the residents are also of Mexican ancestry (7.4%), along with some German ancestry residents (5.1%), among others. In addition, 43.9% of the residents of this neighborhood were born in another country.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in Hunt Club neighborhood spend between 15 and 30 minutes commuting one-way to work (23.3% of working residents), which is shorter than the time spent commuting to work for most Americans. However, there is also a significant group of residents (10.5%) who commute over an hour in each direction.
Here most residents (54.3%) 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 (15.1%) and 9.0% of residents also ride the bus 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.
SCOUT’s patented match algorithm identifies the most similar neighborhoods to a subject location, and quantifies the similarity to the subject location. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research.
The algorithm uses 273 neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity. This captures the true culture and character of locations, economic conditions, and trends.
The closer to 100% means the locations are nearly identical. 80% is a very good, but not excellent match, and so forth.
