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.
Ridge Road / Geneva Historic District median real estate price is $247,512, which is more expensive than 59.1% of the neighborhoods in Alabama and 28.2% of the neighborhoods in the U.S.
The average rental price in Ridge Road / Geneva Historic District is currently $1,182, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 68.0% of Alabama neighborhoods.
Ridge Road / Geneva Historic District is a suburban neighborhood (based on population density) located in Opelika, Alabama.
Ridge Road / Geneva Historic District real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Ridge Road / Geneva Historic District neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 8.7% in Ridge Road / Geneva Historic District. NeighborhoodScout analysis shows that this rate is lower than 43.1% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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 NeighborhoodScout's exclusive exploration and analysis.
Modes of Transportation
While most Americans do drive to work alone each day, the Ridge Road / Geneva Historic District neighborhood stands out by having 91.9% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 98.5% of all American neighborhoods.
Occupations
There are more people living in the Ridge Road / Geneva Historic District neighborhood employed as sales and service workers (59.1%) than almost any neighborhood in the country. From fast-food service workers to major sales accounts, sales and service workers make up the largest proportion of our national employment picture. But despite that size and importance nationally, this neighborhood still stands out as unique due to the dominance of people living here who work in such occupations.
People
Whether by choice, divorce, or unplanned pregnancy, single moms may have the toughest job in the book. NeighborhoodScout's exclusive analysis reveals that the Ridge Road / Geneva Historic District neighborhood has more single mother households than 97.3% of the neighborhoods in the U.S. Often high concentrations of single mother homes can be a strong indicator of family and social issues such as poverty, high rates of school dropouts, crime, and other societal problems.
In addition, of note, 57.5% 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.
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 Ridge Road / Geneva Historic District neighborhood in Opelika are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 94.6% of U.S. neighborhoods. With 57.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 96.4% 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 Ridge Road / Geneva Historic District neighborhood, 40.9% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 26.4% of the residents employed. Other residents here are employed in executive, management, and professional occupations (22.1%), and 10.6% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Ridge Road / Geneva Historic District neighborhood is English, spoken by 96.8% of households.
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Ridge Road / Geneva Historic District neighborhood in Opelika, AL, residents most commonly identify their ethnicity or ancestry as Mexican (4.7%). There are also a number of people of Irish ancestry (3.2%), and residents who report German roots (2.7%), and some of the residents are also of English ancestry (1.9%), along with some Sub-Saharan African ancestry residents (1.4%), among others.
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 Ridge Road / Geneva Historic District neighborhood spend under 15 minutes commuting one-way to work (47.3% of working residents), one of the shortest commutes across America.
Here most residents (91.9%) drive alone in a private automobile to get to work. 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.
