This is a small community in a single neighborhood.
As throughout the site, some neighborhood-level data are reserved for subscribers.
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.
Italy - Milford is a very small town located in the state of Texas. With a population of 4,972 people and just one neighborhood, Italy - Milford is the 406th largest community in Texas.
Occupations and Workforce
Italy - Milford is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Italy - Milford is a town of service providers, professionals, and sales and office workers. There are especially a lot of people living in Italy - Milford who work in management occupations (10.46%), teaching (9.78%), and office and administrative support (9.49%).
Setting & Lifestyle
One downside of living in Italy - Milford, however, is that residents on average have to contend with a long commute, spending on average 32.25 minutes every day commuting to work.
As is often the case in a small town, Italy - Milford doesn't have a public transportation system that people use for their commute.
Demographics
In terms of college education, the citizens of Italy - Milford rank slightly lower than the national average. 16.70% of adults 25 and older in Italy - Milford have a bachelor's degree or advanced degree, while 21.84% of adults have a 4-year degree or higher in the average American community.
The per capita income in Italy - Milford in 2022 was $29,425, which is middle income relative to Texas, and lower middle income relative to the rest of the US. This equates to an annual income of $117,700 for a family of four. However, Italy - Milford contains both very wealthy and poor people as well.
Italy - Milford is an extremely ethnically-diverse town. The people who call Italy - Milford home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Italy - Milford residents report their race to be White, followed by Black or African-American. Italy - Milford also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 17.93% of the town’s residents. Important ancestries of people in Italy - Milford include German, English, Irish, Italian, and Czech.
The most common language spoken in Italy - Milford is English. Other important languages spoken here include Spanish and Italian.
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
Unpopulated, and rural, the neighborhood is one of the least crowded neighborhoods in all of America. If you like open space, no traffic, and lots of room, this neighborhood may be just what you are looking for. According to NeighborhoodScout's leading research, this neighborhood is less densely populated than 92.6% 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 neighborhood in Italy - Milford are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 67.5% of U.S. neighborhoods. With 16.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 63.9% 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 neighborhood, 32.3% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 31.3% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (23.5%), and 12.7% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 90.6% of households. Some people also speak Spanish (8.7%).
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 neighborhood in Italy - Milford, TX, residents most commonly identify their ethnicity or ancestry as Mexican (15.9%). There are also a number of people of German ancestry (10.0%), and residents who report English roots (7.9%), and some of the residents are also of Irish ancestry (5.4%), along with some Italian 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 neighborhood spend between 15 and 30 minutes commuting one-way to work (30.6% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (79.1%) 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 (13.1%) . 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.
