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.
Huber median real estate price is $127,844, which is less expensive than 84.0% of Indiana neighborhoods and 91.3% of all U.S. neighborhoods.
The average rental price in Huber is currently $1,206, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 80.3% of Indiana neighborhoods.
Huber is a suburban neighborhood (based on population density) located in Connersville, Indiana.
Huber 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 Huber 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 8.1% in Huber. NeighborhoodScout analysis shows that this rate is lower than 47.4% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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.
Modes of Transportation
Our research shows that more people carpool to work here in the Huber (25.3%) than in 97.2% of the neighborhoods in America.
People
NeighborhoodScout's exclusive research revealed that 94.4% of the adult residents in the Huber neighborhood do not have a 4-year college degree, which is a lower rate of college graduated adults than found in 96.7% of the neighborhoods in America.
In addition, the Huber neighborhood stands out for having an average per capita income lower than 96.3% of the neighborhoods in the United States.
Also, there is an especially high percentage of incarcerated people (0.9%) living in the Huber neighborhood.
Finally, the Huber neighborhood stands out within Indiana for its college student friendly environment. NeighborhoodScout's analysis reveals that this neighborhood is home to a number of college students, is relatively walkable, and above average in safety. In combination, this makes it stand out for a good place for college students to consider. Because a number of college students live here, this neighborhood may be close to a college campus and offer certain amenities nearby geared towards the student body. While it's not an environment for everyone, ambitious scholars can enjoy seasonal excitement between semesters and school breaks, and parents can rest easy knowing that the area has an above average safety rating. For each of these reasons, the neighborhood is rated among the top 7.2% of college-friendly places to live in IN.
Diversity
Significantly, 2.5% 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 97.4% of the neighborhoods in America.
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 Huber neighborhood in Connersville are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 96.3% of U.S. neighborhoods. With 42.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 90.3% 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 Huber neighborhood, 36.3% of the working population is employed in manufacturing and laborer 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 26.2% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (21.1%), and 16.4% in executive, management, and professional occupations.
Languages
The most common language spoken in the Huber neighborhood is English, spoken by 96.0% of households. Some people also speak German/Yiddish (2.5%).
Ethnicity / Ancestry
Culture is the shared learned behavior of peoples. Undeniably, different ethnicities and ancestries have different cultural traditions, and as a result, neighborhoods with concentrations of residents of one or another ethnicities or ancestries will express those cultures. It is what makes the North End in Boston so fun to visit for the Italian restaurants, bakeries, culture, and charm, and similarly, why people enjoy visiting Chinatown in San Francisco.
In the Huber neighborhood in Connersville, IN, residents most commonly identify their ethnicity or ancestry as German (15.6%). There are also a number of people of English ancestry (13.7%), and residents who report Irish roots (8.8%), and some of the residents are also of Italian ancestry (4.3%), along with some Scottish ancestry residents (1.7%), 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 Huber neighborhood spend under 15 minutes commuting one-way to work (52.8% of working residents), one of the shortest commutes across America.
Here most residents (71.3%) 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 (25.3%) . 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.
