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.
Park Hill / Haskell Indian Nations University median real estate price is $279,033, which is more expensive than 63.6% of the neighborhoods in Kansas and 36.1% of the neighborhoods in the U.S.
The average rental price in Park Hill / Haskell Indian Nations University is currently $1,946, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 81.3% of the neighborhoods in Kansas.
Park Hill / Haskell Indian Nations University is a suburban neighborhood (based on population density) located in Lawrence, Kansas.
Park Hill / Haskell Indian Nations University real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and townhomes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Park Hill / Haskell Indian Nations University neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built before 1940.
Park Hill / Haskell Indian Nations University has a 14.5% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 76.7% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are empty.
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.
People
Of note is NeighborhoodScout's research finding that the Park Hill / Haskell Indian Nations University neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the Park Hill / Haskell Indian Nations University community truly stands out from the rest in this regard.
In addition, neighborhoodScout's analysis shows that the Park Hill / Haskell Indian Nations University neighborhood has a greater concentration of residents currently enrolled in college than 98.4% of the neighborhoods in the U.S. With 28.3% of the population here attending college, this is very much a college-focused neighborhood.
Also, for many reasons, Park Hill / Haskell Indian Nations University is rated by NeighborhoodScout as one of the top 1.7% of ideal neighborhoods for first-time home buyers in the state of Kansas. Homes here are priced below median housing values in the state, yet the neighborhood has a track record according to NeighborhoodScout's exclusive neighborhood home appreciation rates of above average real estate appreciation over the last five years compared to other KS neighborhoods, protecting your investment in your first home, while simultaneously making it less risky for your lender. Not only does this neighborhood stand out for combining price and home value stability or increases, it also is a neighborhood with a high quality resident population according exclusive data, meaning this is likely a good place to buy, live, and enjoy. While many first time home buyers focus purely on low cost and convenient location, which can risk your investment in your first home and put you in a less than desirable neighborhood, this neighborhood is a true standout for a lot of reasons, and definitely worth a look if you are a first time home buyer. In addition to being an excellent choice for first-time home buyers, this neighborhood is also a very good choice for college students.
Diversity
Did you know that the Park Hill / Haskell Indian Nations University neighborhood has more Native American and Dutch ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 11.0% of this neighborhood's residents have Native American ancestry and 6.3% have Dutch ancestry.
Park Hill / Haskell Indian Nations University is also pretty special linguistically. Significantly, 6.6% of its residents five years old and above primarily speak Native American languages at home. While this may seem like a small percentage, it is higher than 99.7% of the neighborhoods in America.
The Neighbors
There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.
The neighbors in the Park Hill / Haskell Indian Nations University neighborhood in Lawrence are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 56.8% of the neighborhoods in America. In addition, 0.0% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 100.0% of America'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 Park Hill / Haskell Indian Nations University neighborhood, 44.3% of the working population is employed in executive, management, and professional 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 28.8% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (19.3%), and 7.7% 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 Park Hill / Haskell Indian Nations University neighborhood is English, spoken by 91.9% of households. Other important languages spoken here include Native American languages and Spanish.
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 Park Hill / Haskell Indian Nations University neighborhood in Lawrence, KS, residents most commonly identify their ethnicity or ancestry as German (34.0%). There are also a number of people of English ancestry (15.3%), and residents who report Irish roots (13.1%), and some of the residents are also of Native American ancestry (11.0%), along with some Dutch ancestry residents (6.3%), 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 Park Hill / Haskell Indian Nations University neighborhood spend under 15 minutes commuting one-way to work (57.0% of working residents), one of the shortest commutes across America.
Here most residents (70.9%) drive alone in a private automobile to get to work. In addition, quite a number also hop out the door and walk to work to get to work (7.4%) and 7.1% of residents also carpool with coworkers, friends, or neighbors 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.
