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.
Santa Rosa is a very small town located in the state of Texas. With a population of 2,408 people and just one neighborhood, Santa Rosa is the 585th largest community in Texas.
Occupations and Workforce
Unlike some towns, Santa Rosa isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Santa Rosa are a mix of both white- and blue-collar jobs. Overall, Santa Rosa is a town of service providers, sales and office workers, and transportation and shipping workers. There are especially a lot of people living in Santa Rosa who work in office and administrative support (14.97%), healthcare suport services (11.71%), and maintenance occupations (10.39%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 9.52% of the workforce. While this number may seem small overall, as a fraction of the total workforce this is high compared to the rest of the county. 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
Santa Rosa is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
The population of Santa Rosa has a very low overall level of education: only 6.82% of people over 25 hold a 4-year college degree or higher.
The per capita income in Santa Rosa in 2022 was $13,210, which is low income relative to Texas and the nation. This equates to an annual income of $52,840 for a family of four. However, Santa Rosa contains both very wealthy and poor people as well. Santa Rosa also has one of the higher rates of people living in poverty in the nation, with 49.14% of its population below the federal poverty line.
Santa Rosa is an extremely ethnically-diverse town. The people who call Santa Rosa home describe themselves as belonging to a variety of racial and ethnic groups. People of Hispanic or Latino origin are the most prevalent group in Santa Rosa, accounting for 99.32% of the town’s residents (people of Hispanic or Latino origin can be of any race). The greatest number of Santa Rosa residents report their race to be White. Important ancestries of people in Santa Rosa include Yugoslavian, Other West Indian, West Indian, U.S. Virgin Islander, and Trinidadian and Tobagonian.
The most common language spoken in Santa Rosa is English. Other important languages spoken here include Spanish and African languages.
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 Santa Rosa, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Diversity
Did you know that the neighborhood has more Mexican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 90.4% of this neighborhood's residents have Mexican ancestry.
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 neighborhood in Santa Rosa are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 90.3% of U.S. neighborhoods. With 38.0% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 87.8% 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, 29.6% of the working population is employed in clerical, assistant, and tech support occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 23.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (23.0%), and 22.9% in executive, management, and professional occupations.
Languages
The most common language spoken in the neighborhood is Spanish, spoken by 55.6% of households. Some people also speak English (43.7%).
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 neighborhood in Santa Rosa, TX, residents most commonly identify their ethnicity or ancestry as Mexican (90.4%). There are also a number of people of German ancestry (3.1%), and residents who report South American roots (2.3%), and some of the residents are also of English ancestry (1.7%), along with some French ancestry residents (1.4%), among others. In addition, 14.3% 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 neighborhood spend between 15 and 30 minutes commuting one-way to work (54.2% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (75.5%) 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 (5.5%) . 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.
