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.
Woodland Holt median real estate price is $161,636, which is less expensive than 70.5% of Ohio neighborhoods and 85.4% of all U.S. neighborhoods.
The average rental price in Woodland Holt is currently $1,661, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 69.2% of the neighborhoods in Ohio.
Woodland Holt is an urban neighborhood (based on population density) located in Columbus, Ohio.
Woodland Holt real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is owner occupied. Many of the residences in the Woodland Holt neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 6.8% in Woodland Holt. NeighborhoodScout analysis shows that this rate is lower than 54.8% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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.
Modes of Transportation
In the Woodland Holt neighborhood, many people's commute means walking from the bedroom to the home office. NeighborhoodScout's analysis found that 37.5% of residents worked from home. This may not seem like a large number, but Scout's research shows that this is a higher percentage of people working from home than 99.2% of the neighborhoods in America. Often people who work from home are engaged in the creative or technological economy, such as is found in areas around Boston, and in Silicon Valley. Other times, people may be engaged in other businesses like trading stocks from home, or running a small beauty salon.
People
Single parenting is hard. But you don't have to tell the Woodland Holt neighborhood about it; they already know. 22.2% of this neighborhood's households are run by single mothers, which is a higher concentration than NeighborhoodScout found in 98.0% of American neighborhoods. Further NeighborhoodScout research showed strong statistical correlations among high rates of children living in single parent households, and neighborhood crime, particularly violent crime, neighborhood poverty, and, importantly, the percentage of low weight births and rates of infant mortality.
Diversity
Did you know that the Woodland Holt neighborhood has more African and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 15.7% of this neighborhood's residents have African ancestry and 18.5% have Sub-Saharan 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 Woodland Holt neighborhood in Columbus are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 83.4% of U.S. neighborhoods. With 28.6% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 79.7% 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 Woodland Holt neighborhood, 40.4% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 22.1% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (20.7%), and 16.8% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
Languages
The most common language spoken in the Woodland Holt neighborhood is English, spoken by 94.2% of households. Some people also speak Spanish (2.9%).
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 Woodland Holt neighborhood in Columbus, OH, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (18.5%). There are also a number of people of African ancestry (15.7%), and residents who report German roots (5.8%), and some of the residents are also of Dominican ancestry (4.3%), along with some Mexican ancestry residents (3.8%), 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 Woodland Holt neighborhood spend between 15 and 30 minutes commuting one-way to work (46.7% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (47.8%) 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 (9.4%) and 5.3% 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.
