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.
S Pennsylvania St / E Dakota Ave median real estate price is $819,793, which is more expensive than 73.2% of the neighborhoods in Colorado and 83.7% of the neighborhoods in the U.S.
The average rental price in S Pennsylvania St / E Dakota Ave is currently $2,510, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 42.3% of Colorado neighborhoods.
S Pennsylvania St / E Dakota Ave is an urban neighborhood (based on population density) located in Denver, Colorado.
S Pennsylvania St / E Dakota Ave 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 S Pennsylvania St / E Dakota Ave neighborhood are relatively historic, built no later than 1939, and in some cases, quite a bit earlier. A number of residences were also built between 2000 and the present.
In S Pennsylvania St / E Dakota Ave, the current vacancy rate is 0.8%, which is a lower rate of vacancies than 91.5% of all neighborhoods in the U.S. This means that the housing supply in S Pennsylvania St / E Dakota Ave is very tight compared to the demand for property here.
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 Denver, the S Pennsylvania St / E Dakota Ave neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Modes of Transportation
Would you like to be able to ride your bike to work? If you are attracted to the idea of getting a little exercise of the two-wheeled type while reducing your carbon footprint, bicycling to work might be the answer. But which neighborhood you live in can make this either impossible, or alternatively, a great and realistic option. NeighborhoodScout's analysis revealed that the S Pennsylvania St / E Dakota Ave neighborhood is a fantastic option for bicycle commuters, as 4.7% of commuters here do ride their bikes to and from work on a daily basis. This is a higher amount than we found in 98.0% of the neighborhoods in America.
Also, in the S Pennsylvania St / E Dakota Ave neighborhood, many people's commute means walking from the bedroom to the home office. NeighborhoodScout's analysis found that 35.1% 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 97.6% 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
The rate of college educated adults in the S Pennsylvania St / E Dakota Ave neighborhood is a unique characteristic of the neighborhood. 73.7% of adults here have received at least a 4-year bachelor's degree, compared to the average neighborhood in America, which has 35.0% of the adults with a bachelor's degree. The rate here is higher than NeighborhoodScout found in 95.3% of all U.S. neighborhoods.
Diversity
Did you know that the S Pennsylvania St / E Dakota Ave neighborhood has more Scottish and Romanian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 5.8% of this neighborhood's residents have Scottish ancestry and 1.1% have Romanian ancestry.
S Pennsylvania St / E Dakota Ave is also pretty special linguistically. Significantly, 2.2% of its residents five years old and above primarily speak German/Yiddish at home. While this may seem like a small percentage, it is higher than 97.0% of the neighborhoods in America.
Migration / Stability
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. In the S Pennsylvania St / E Dakota Ave neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 96.1% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
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 S Pennsylvania St / E Dakota Ave neighborhood in Denver are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 68.1% of the neighborhoods in America. In addition, 3.1% 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 70.7% 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 S Pennsylvania St / E Dakota Ave neighborhood, 69.7% 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 14.2% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (9.0%), and 7.1% 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 S Pennsylvania St / E Dakota Ave neighborhood is English, spoken by 88.1% of households. Other important languages spoken here include Spanish, Polish and German/Yiddish.
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 S Pennsylvania St / E Dakota Ave neighborhood in Denver, CO, residents most commonly identify their ethnicity or ancestry as German (23.1%). There are also a number of people of English ancestry (17.4%), and residents who report Irish roots (14.4%), and some of the residents are also of Italian ancestry (8.8%), along with some Mexican ancestry residents (6.0%), 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 S Pennsylvania St / E Dakota Ave neighborhood spend between 15 and 30 minutes commuting one-way to work (58.7% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (46.7%) drive alone in a private automobile to get to work. In addition, quite a number also take the train to get to work (7.5%) . 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.
