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.
Twin Lakes median real estate price is $259,076, which is more expensive than 64.9% of the neighborhoods in Oklahoma and 30.6% of the neighborhoods in the U.S.
The average rental price in Twin Lakes is currently $1,356, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 46.8% of Oklahoma neighborhoods.
Twin Lakes is an urban neighborhood (based on population density) located in Oklahoma City, Oklahoma.
Twin Lakes 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 small apartment buildings. Most of the residential real estate is renter occupied. Many of the residences in the Twin Lakes neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Home and apartment vacancy rates are 9.1% in Twin Lakes. NeighborhoodScout analysis shows that this rate is lower than 41.3% of the neighborhoods in the nation, approximately near the middle range for vacancies.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Oklahoma City, the Twin Lakes neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
Three-deckers, duplexes, old Victorian homes cut up into apartments. Independent stores on the corner selling pizza. These are some of the hallmarks of neighborhoods with lots of small 2, 3, and 4 unit apartment buildings. The Twin Lakes neighborhood really stands out in this regard, however, as it is dominated by such small apartment buildings more than nearly any other neighborhood in America. This is a stunning visual and lifestyle example of this type of neighborhood. In fact, 33.8% of the real estate here are small 2, 3, or 4 unit apartment buildings, which is a higher proportion than found in 95.8% of America's neighborhoods.
People
The Twin Lakes neighborhood stands out for having an average per capita income lower than 95.6% of the neighborhoods in the United States.
Migration / Stability
Some neighborhoods have more internal cohesiveness than others. While other neighborhoods feel like a collection of strangers who just happen to live near each other. Sometimes this comes down to not only the personalities of the people in a place, but how long people have been together in that neighborhood. NeighborhoodScout's research has revealed some interesting things about the rootedness of people in the Twin Lakes neighborhood. In the Twin Lakes neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 99.0% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
Diversity
Did you know that the Twin Lakes neighborhood has more Iranian and Scots-Irish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.6% of this neighborhood's residents have Iranian ancestry and 4.2% have Scots-Irish 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 Twin Lakes neighborhood in Oklahoma City are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 95.6% of U.S. neighborhoods. With 26.0% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 77.6% of U.S. neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the Twin Lakes neighborhood, 31.5% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 27.5% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (22.2%), and 18.8% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Twin Lakes neighborhood is English, spoken by 85.0% of households. Some people also speak Spanish (12.6%).
Ethnicity / Ancestry
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 Twin Lakes neighborhood in Oklahoma City, OK, residents most commonly identify their ethnicity or ancestry as English (15.3%). There are also a number of people of Mexican ancestry (12.4%), and residents who report German roots (11.7%), and some of the residents are also of Irish ancestry (8.5%), along with some Scots-Irish ancestry residents (4.2%), 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 Twin Lakes neighborhood spend between 15 and 30 minutes commuting one-way to work (46.1% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (76.3%) 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 (16.0%) . 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.
