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.
Datapoint Dr / Parkdale St median real estate price is $101,264, which is less expensive than 90.7% of Texas neighborhoods and 93.0% of all U.S. neighborhoods.
The average rental price in Datapoint Dr / Parkdale St is currently $1,692, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 54.5% of Texas neighborhoods.
Datapoint Dr / Parkdale St is an urban neighborhood (based on population density) located in San Antonio, Texas.
Datapoint Dr / Parkdale St 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 Datapoint Dr / Parkdale St 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.
Datapoint Dr / Parkdale St has a 15.0% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 78.0% 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.
Real Estate
The Datapoint Dr / Parkdale St neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 90.4% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
In addition, the real estate in the Datapoint Dr / Parkdale St neighborhood really stands out in the way it looks for a unique reason: this neighborhood has a higher proportion of apartment complexes or high-rise apartments than nearly every neighborhood in the country. Most neighborhoods are a mixture of real estate and housing types, but here it is almost entirely dominated by big apartment buildings and complexes. In fact, 82.2% of the real estate here is classified as apartment complexes or high-rise apartments, which is more than is found in 97.0% of American neighborhoods.
Furthermore, renter-occupied real estate is dominant in the Datapoint Dr / Parkdale St neighborhood. The percentage of rental real estate here, according to exclusive NeighborhoodScout analysis, is 89.6%, which is higher than 96.7% of the neighborhoods in America. If you were to buy and live in the property you bought here, you would be almost alone in doing so.
Occupations
There are more people living in the Datapoint Dr / Parkdale St neighborhood employed as sales and service workers (59.1%) 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.
Diversity
Did you know that the Datapoint Dr / Parkdale St neighborhood has more Iranian and Asian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.5% of this neighborhood's residents have Iranian ancestry and 27.2% have Asian ancestry.
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 Datapoint Dr / Parkdale St neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 95.5% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
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 Datapoint Dr / Parkdale St neighborhood in San Antonio are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 87.2% of U.S. neighborhoods. With 50.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 94.2% 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 Datapoint Dr / Parkdale St neighborhood, 40.9% 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 executive, management, and professional occupations, with 28.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (16.7%), and 13.8% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Datapoint Dr / Parkdale St neighborhood is English, spoken by 49.1% of households. Some people also speak Spanish (22.9%).
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 Datapoint Dr / Parkdale St neighborhood in San Antonio, TX, residents most commonly identify their ethnicity or ancestry as Mexican (35.7%). There are also a number of people of Asian ancestry (27.2%), and residents who report Irish roots (5.4%), and some of the residents are also of English ancestry (2.6%), along with some Italian ancestry residents (2.1%), among others. In addition, 32.7% of the residents of this neighborhood were born in another country.
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 Datapoint Dr / Parkdale St neighborhood spend between 15 and 30 minutes commuting one-way to work (45.7% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (71.5%) 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 (16.4%) . 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.
