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.
Lund / Manda median real estate price is $225,416, which is more expensive than 34.4% of the neighborhoods in Texas and 24.1% of the neighborhoods in the U.S.
The average rental price in Lund / Manda is currently $1,948, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 61.6% of the neighborhoods in Texas.
Lund / Manda is a remote neighborhood (based on population density) located in Elgin, Texas.
Lund / Manda real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Lund / Manda neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Lund / Manda are 5.6%, which is lower than one will find in 61.3% of American neighborhoods. Demand for real estate in Lund / Manda is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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 Elgin, the Lund / Manda neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
The Lund / Manda neighborhood has earned the amazing distinction of having one of the highest rates of detached, single-family homes of any neighborhood in the U.S. With 99.3% of the residential real estate here made up of free-standing single-family homes, there is a greater proportion of single-family homes here than in 98.1% of all neighborhoods in America.
Occupations
From major sales accounts to fast-food workers, sales and service employees are often the backbone of the local economy. In the Lund / Manda neighborhood, they truly stand out. NeighborhoodScout's exclusive analysis identifies this neighborhood as having a higher percentage of sales and service workers than 96.3% of all American neighborhoods.
People
The Lund / Manda neighborhood has a greater percentage of children living in poverty (53.5%) than found in 95.3% of all U.S. neighborhoods. Children living in poverty is one of the challenges facing America, and the world, and in this neighborhood in particular, the problem can be considered acute.
Diversity
Did you know that the Lund / Manda neighborhood has more Mexican and Czechoslovakian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 64.5% of this neighborhood's residents have Mexican ancestry and 0.5% have Czechoslovakian ancestry.
Lund / Manda is also pretty special linguistically. Significantly, 0.6% of its residents five years old and above primarily speak Urdu, which is the national language of Pakistan, at home. While this may seem like a small percentage, it is higher than 95.8% 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 Lund / Manda neighborhood in Elgin are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 67.0% of the neighborhoods in America. With 53.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 95.3% of U.S. neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the Lund / Manda neighborhood, 39.0% 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 24.8% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (18.5%), and 17.7% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Lund / Manda neighborhood is Spanish, spoken by 58.6% of households. Some people also speak English (41.1%).
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 Lund / Manda neighborhood in Elgin, TX, residents most commonly identify their ethnicity or ancestry as Mexican (64.5%). There are also a number of people of German ancestry (8.6%), and residents who report Irish roots (6.5%), and some of the residents are also of English ancestry (3.4%), along with some Italian ancestry residents (2.1%), among others. In addition, 15.7% of the residents of this neighborhood were born in another country.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in Lund / Manda neighborhood spend between 45 minutes and one hour commuting one-way to work (30.0% of working residents), longer and tougher than most commutes in America.
Here most residents (77.0%) 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 (14.1%) . 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.
