What do we mean by a neighborhood?
NeighborhoodScout® 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. NeighborhoodScout 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.
Green Leaf Dr / W Shades Valley Dr median real estate price is $48,459, which is less expensive than 97.9% of Alabama neighborhoods and 99.0% of all U.S. neighborhoods.
The average rental price in Green Leaf Dr / W Shades Valley Dr is currently $1,424, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 57.9% of Alabama neighborhoods.
Green Leaf Dr / W Shades Valley Dr is a suburban neighborhood (based on population density) located in Montgomery, Alabama.
Green Leaf Dr / W Shades Valley Dr real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes 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 Green Leaf Dr / W Shades Valley 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.
Vacant apartments or homes are a major fact of life in Green Leaf Dr / W Shades Valley Dr. The current real estate vacancy rate here is 17.5%. This is higher than the rate of vacancies in 82.9% 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.
Notable & Unique Neighborhood Characteristics
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.
People
The Green Leaf Dr / W Shades Valley Dr neighborhood stands out for having an average per capita income lower than 97.6% of the neighborhoods in the United States. The Green Leaf Dr / W Shades Valley Dr neighborhood also has a greater percentage of children living in poverty (80.4%) than found in 99.4% of all U.S. neighborhoods. Children living in poverty is one of the challenges facing America, and the world, and in this neighborhood in particular, the problem can be considered acute.
Modes of Transportation
In the Green Leaf Dr / W Shades Valley Dr neighborhood, carpooling is still a popular way to get to and from work. NeighborhoodScout's analysis reveals that 25.4% of commuters carpool here, which is more than in 97.3% of all U.S. neighborhoods.
Diversity
Did you know that the Green Leaf Dr / W Shades Valley Dr neighborhood has more African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 5.7% of this neighborhood's residents have African ancestry.
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. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the Green Leaf Dr / W Shades Valley Dr neighborhood in Montgomery are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 97.6% of U.S. neighborhoods. With 80.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 99.4% 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 Green Leaf Dr / W Shades Valley Dr neighborhood, 38.4% of the working population is employed in manufacturing and laborer 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 27.8% of the residents employed. Other residents here are employed in executive, management, and professional occupations (18.3%), and 15.4% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Green Leaf Dr / W Shades Valley Dr neighborhood is English, spoken by 97.6% of households. Some people also speak Spanish (2.4%).
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 Green Leaf Dr / W Shades Valley Dr neighborhood in Montgomery, AL, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (5.7%). There are also a number of people of African ancestry (5.7%), and residents who report Mexican roots (3.5%).
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 Green Leaf Dr / W Shades Valley Dr neighborhood spend between 15 and 30 minutes commuting one-way to work (64.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (74.6%) 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 (25.4%) . 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.
