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?
Ä¢¹½ÊÓƵ® 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. Ä¢¹½ÊÓƵ 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.
Happy is a tiny town located in the state of Texas. With a population of 608 people and just one neighborhood, Happy is the 915th largest community in Texas.
Occupations and Workforce
Happy is a blue-collar town, with 38.28% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Happy is a town of professionals, construction workers and builders, and sales and office workers. There are especially a lot of people living in Happy who work in teaching (14.84%), sales jobs (8.98%), and community and social services (7.81%).
Telecommuters are a relatively large percentage of the workforce: 9.38% of people work from home. While this number may seem small overall, as a fraction of the total workforce it is high relative to the nation. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
Setting & Lifestyle
Being a small town, Happy does not have a public transit system used by locals to get to and from work.
Demographics
The percentage of people in Happy who are college-educated is somewhat higher than the average US community of 21.84%: 28.04% of adults in Happy have at least a bachelor's degree.
The per capita income in Happy in 2022 was $21,854, which is low income relative to Texas and the nation. This equates to an annual income of $87,416 for a family of four. However, Happy contains both very wealthy and poor people as well.
Happy is an extremely ethnically-diverse town. The people who call Happy home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Happy residents report their race to be White, followed by Native American. Happy also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 45.38% of the town’s residents. Important ancestries of people in Happy include English, Irish, German, Swedish, and Dutch.
Foreign born people are also an important part of Happy's cultural character, accounting for 18.47% of the town’s population.
The most common language spoken in Happy is English. Other important languages spoken here include Spanish and Italian.
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 Happy, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
An interesting characteristic about the neighborhood is that there are more incarcerated people living here than 99.4% of neighborhoods in the U.S. The United States has the highest rate of incarceration in the world, currently with 1 out of every 100 adults in the country are incarcerated as a punishment for crimes committed. The extremely high incarceration rate of this neighborhood could mean that a prison, juvenile detention facility or other correctional facility occupies a large proportion of the neighborhood, or contains a large portion of the neighborhood's population.
In addition, if you're planning where to retire, the neighborhood in Happy is a great option to consider. According to Ä¢¹½ÊÓƵ's exclusive retirement dream area analysis, it's peaceful and quiet, has above average safety ratings compared to other neighborhoods in TX, offers a wide range of housing options, and has already attracted an enviable mix of college educated seniors. This neighborhood ranks as better for retirement living than 88.2% of the neighborhoods in Texas. If you are considering retiring to Texas, this is a good neighborhood to look at.
Real Estate
This neighborhood has wide open spaces, few people, and lots of space to stretch out. If you like locations that fit that description, you may like this neighborhood. Based on Ä¢¹½ÊÓƵ's exclusive analysis, with only 3 people per square mile living here, this neighborhood is less crowded than 98.7% of America.
Car Ownership
American households most often have a car, and regularly they have two or three. But households in the neighborhood buck this trend. Residents of this neighborhood must really love automobiles. Ä¢¹½ÊÓƵ's Analysis reveals that 40.7% of the households here have four, five, or more cars. That is more cars per household than in 98.4% of the neighborhoods in the nation.
Occupations
Each year, fewer and fewer Americans make their living as farmers, foresters, or fishers. But the neighborhood truly stands out among U.S. neighborhoods. According to exclusive Ä¢¹½ÊÓƵ analysis, this neighborhood has a greater proportion of farmers, foresters, or fishers than 96.1% of all American neighborhoods. This is truly a unique cultural characteristic of this neighborhood.
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. Ä¢¹½ÊÓƵ's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the neighborhood in Happy are lower-middle income, making it a below average income neighborhood. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 71.3% of U.S. neighborhoods. With 31.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 83.3% 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 neighborhood, 33.9% 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 24.7% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (23.8%), and 13.5% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 78.3% of households. Some people also speak Spanish (21.5%).
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 neighborhood in Happy, TX, residents most commonly identify their ethnicity or ancestry as Mexican (30.8%). There are also a number of people of German ancestry (9.4%), and residents who report Irish roots (8.3%), and some of the residents are also of English ancestry (5.7%), along with some Sub-Saharan African ancestry residents (1.8%), 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 under 15 minutes commuting one-way to work (48.9% of working residents), one of the shortest commutes across America.
Here most residents (80.0%) 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 (10.7%) . 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.
