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.
Pahala median real estate price is $265,080, which is less expensive than 98.6% of Hawaii neighborhoods and 67.4% of all U.S. neighborhoods.
The average rental price in Pahala is currently $1,542, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 98.4% of Hawaii neighborhoods.
Pahala is a remote neighborhood (based on population density) located in Ocean View, Hawaii. This is a coastal neighborhood (i.e., is on the ocean, a bay, or inlet).
Pahala real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Pahala neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
Vacant apartments or homes are a major fact of life in Pahala. The current real estate vacancy rate here is 24.9%. This is higher than the rate of vacancies in 91.7% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
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 Ocean View, the Pahala neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
Uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 8 residents per square mile, Pahala is less crowded than 97.6% of all U.S. neighborhoods. Do you like a coastal setting? If so, this neighborhood may be to your liking. The Pahala neighborhood is on the ocean, a bay, or inlet. Often such coastal places have amenities and recreational activities on the waterfront that are attractive to residents and visitors alike. In addition to being coastal, Pahala is a very nautical neighborhood, meaning that it is somewhat historic, walkable, densely populated and on the water. This gives the neighborhood a very nautical feel, with some seaside and shipping feel, which some may really enjoy the sights and sounds of.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the Pahala neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 21.6% of commuters here travel more than one hour just one-way to work. That is more than two hours per day. This percentage with two-hour + round-trip commutes is higher than NeighborhoodScout found in 99.7% of all neighborhoods in America.
Occupations
It used to be that most Americans lived on the farm, or otherwise made their living from the land, the forests, or the sea. With global trade and an economy increasingly based on providing services to one another, fewer people farm, fish or harvest timber now than at any time in American history. But according to NeighborhoodScout's leading analysis, the Pahala neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 8.2% of the workforce so employed, this neighborhood has a greater concentration of such workers than 98.6% of U.S. neighborhoods.
Furthermore, there are more people living in the Pahala neighborhood employed as sales and service workers (58.8%) 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.
Modes of Transportation
Our research shows that more people carpool to work here in the Pahala (27.2%) than in 98.1% of the neighborhoods in America.
Diversity
Did you know that the Pahala neighborhood has more Portuguese and Swiss ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 5.2% of this neighborhood's residents have Portuguese ancestry and 2.6% have Swiss ancestry.
Pahala is also pretty special linguistically. Significantly, 0.7% of its residents five years old and above primarily speak Japanese at home. While this may seem like a small percentage, it is higher than 95.9% 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 Pahala neighborhood in Ocean View are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 89.5% of U.S. neighborhoods. With 27.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 78.5% of U.S. neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the Pahala neighborhood, 41.2% 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 25.9% of the residents employed. Other residents here are employed in executive, management, and professional occupations (19.8%), and 9.6% in government jobs, whether they are in local, state, or federal positions.
Languages
The most common language spoken in the Pahala neighborhood is English, spoken by 71.1% of households. Some people also speak Spanish (4.7%).
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 Pahala neighborhood in Ocean View, HI, residents most commonly identify their ethnicity or ancestry as Asian (14.7%). There are also a number of people of German ancestry (13.6%), and residents who report Spanish roots (9.9%), and some of the residents are also of Puerto Rican ancestry (7.9%), along with some Irish ancestry residents (7.4%), 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 Pahala neighborhood spend between 45 minutes and one hour commuting one-way to work (40.7% of working residents), longer and tougher than most commutes in America.
Here most residents (63.2%) 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 (27.2%) . 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.
