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.
Deerwood median real estate price is $238,404, which is more expensive than 38.7% of the neighborhoods in Texas and 27.7% of the neighborhoods in the U.S.
The average rental price in Deerwood is currently $1,196, based on Ä¢¹½ÊÓƵ's exclusive analysis. Rents here are currently lower in price than 88.5% of Texas neighborhoods.
Deerwood is a rural neighborhood (based on population density) located in Conroe, Texas.
Deerwood real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) mobile homes and single-family homes. Most of the residential real estate is owner occupied. Many of the residences in the Deerwood neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Deerwood are 5.6%, which is lower than one will find in 61.2% of American neighborhoods. Demand for real estate in Deerwood is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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 Ä¢¹½ÊÓƵ's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Occupations
Ä¢¹½ÊÓƵ's exclusive research identifies the Deerwood neighborhood as having one of the highest concentrations of people employed in manufacturing or as laborers of any neighborhood in America. In fact, despite the loss of manufacturing jobs nationally, this neighborhood has 50.4% of its working residents employed in such fields, which is a higher proportion than 99.0% of American neighborhoods.
Real Estate
The real estate in this neighborhood consists of more mobile homes than 98.7% of all neighborhoods in America, with 46.1% of the occupied housing here being classified as mobile homes. So if you are looking for a mobile home, or you like the look and feel of mobile home parks, this neighborhood might have the setting you desire.
In addition, homes built from 2000 through today make up a higher proportion of the Deerwood neighborhood's real estate landscape than 96.2% of the neighborhoods in America. When you are driving around this neighborhood, you'll notice right away that it is one of the newest built of any, with the smell of fresh paint, and the look of young landscaping nearly everywhere you look. In fact, 73.6% of the residential real estate here is classified as newer.
Diversity
Did you know that the Deerwood neighborhood has more Iranian and Dutch ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.5% of this neighborhood's residents have Iranian ancestry and 3.6% have Dutch 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. Ä¢¹½ÊÓƵ's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the Deerwood neighborhood in Conroe are lower-middle income, making it a below average income neighborhood. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 76.5% of U.S. neighborhoods. With 18.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 66.7% 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 Deerwood neighborhood, 50.4% 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 17.3% of the residents employed. Other residents here are employed in executive, management, and professional occupations (17.1%), and 14.5% 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 Deerwood neighborhood is Spanish, spoken by 49.4% of households. Other important languages spoken here include English and Chinese.
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 Deerwood neighborhood in Conroe, TX, residents most commonly identify their ethnicity or ancestry as Mexican (52.8%). There are also a number of people of English ancestry (7.3%), and residents who report German roots (6.2%), and some of the residents are also of Dutch ancestry (3.6%), along with some Irish ancestry residents (3.5%), among others. In addition, 15.8% of the residents of this neighborhood were born in another country.
Getting to Work
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 Deerwood neighborhood spend between 45 minutes and one hour commuting one-way to work (43.2% of working residents), longer and tougher than most commutes in America.
Here most residents (87.2%) 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 (9.8%) . 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.
