Frequently asked questions about 78593 in Santa Rosa, TX

Is zip code 78593 in Santa Rosa, TX a good place to invest in?: No. With an investment score of 412 over 1,000 is not a good place to invest.
What was the population of zip code 78593 according to the 2020 census?: According to the 2020 census, the population of zip code 78593 in Santa Rosa, TX was 5,432.
What is the forecasted population for zip code 78593 in 2025?: The forecasted population for zip code 78593 in 2025 is 4,956.
What is the projected population for zip code 78593 in 2030?: The projected population for zip code 78593 in 2030 is 5,025.
What is the average property price in zip code 78593?: The average property price in zip code 78593 is $159,576.
Is the property price in zip code 78593 expected to increase or decrease?: The property prices in zip code 78593 are currently on an increasing trend.
What is the average rent value in zip code 78593?: The average rent value in zip code 78593 is -.
What is the average household income in zip code 78593?: The average household income in zip code 78593 is $47,560.

Investment Score for 78593 Santa Rosa, TX

Zip Code

78593

City

Santa Rosa, TX

Aterio Score™

412

out of 1,000 pts

With an investment score of 412 over 1,000 zip code 78593 Santa Rosa, TX is not a good place to invest in the US right now.
Population is forecasted to decrease -8.8% by 2025. A negative growth in population is not good for the real estate market.

State highest score is

846

National highest score is

846

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Population & Migration

The population in the US is expected to grow 4.7% between 2020 and 2030 or 0.6% per year. Neighborhoods or municipalities with growths above 4.7% for the next 10 years will have a positive effect on the score.

Any growth above 10% should create imbalances between supply and demand in the area creating strong signals for investment opportunities.

Aterio's Adjusted Growth is a specialized metric that refines growth projections by incorporating historical growth information and projections, as well as migration data extracted from the USPS. This comprehensive approach offers a more precise indicator of expected growth, enhancing accuracy in predicting demographic and economic changes within a given area.

Prices

The average number of days a property spends on the market refers to the typical length of time it takes for properties to be sold. A higher average indicates that properties are staying on the market for longer periods, often suggesting lower demand and potentially unfavorable market conditions for sellers.

The total number of abandoned home sales refers to the count of properties that were listed for sale but ultimately left unsold, showcasing a lack of buyer interest or demand. A higher count of abandoned sales typically reflects diminished demand for those properties and can indicate a sluggish or unfavorable real estate market for sellers.

The speed of change in prices is an important indicator of market volatility and can be used to help investors make decisions about buying or selling assets

In general, when there is a strong price direction, it is more likely that the speed of change will be faster. This is because the momentum behind the price movement is greater, and there may be more market participants who are eager to buy or sell at the prevailing prices.

Relative Strength Index

Listings

realtor.com

zillow.com

Demand vs. Supply

When there is a deficit of houses available in the market, it typically leads to an increase in home prices. This is because the demand for homes exceeds the supply, which creates a competitive bidding environment. As a result, buyers are willing to pay more to secure a home, driving up the prices.

Vacancy rate is 10.1% in the United States in the fourth quarter of 2022.

Low levels of vacancy rate signals a need for additional units in a market and a difference in supply and demand where demand is most likely not meet.

Economic Development

Retailtainment is a term used to describe the practice of combining retail shopping with entertainment experiences to create a more engaging and immersive shopping environment. The concept of retailtainment is based on the idea that people are looking for more than just a place to buy products; they want an experience that is fun, interactive, and memorable.

Universities attract a large number of employees and students who need housing. This creates demand for real estate in the surrounding area, which can lead to an increase in real estate prices, provides stability to the local economy, and attract investment from wealthy individuals and organizations.

The Number of Armed Forces Employees signifies both potential advantages and vulnerabilities. Proximity to military bases enhances employment and safety in nearby ZIP codes, but reliance on military activity can create economic risks if bases shut down. It's noteworthy that armed forces employees are concentrated in a minority of ZIP codes, leaving most areas unaffected by this indicator's dynamics.

Capacity to Pay

Affordability indicates the ability of potential homebuyers to afford a home measured in number of years needed to pay a house. Example: Home Price 500,000 / Household Income 100,000 = 5 Years.

3 years or below is affordable, 3.1 to 5.0 is moderate and above 5.1 unaffordable. In 2021 Pittsburgh was 2.7 and San Francisco was 11.8.

Household debt can affect the ability of individuals to make mortgage payments, which can impact the foreclosure rate and the number of distressed properties on the market. If a large number of homeowners default on their mortgages, it can lead to an increase in foreclosures and distressed properties, which can put downward pressure on real estate prices.

These household income percentage indicators are derived from IRS data and offer insights into income distribution. They provide a snapshot of economic diversity within a population, highlighting the proportions of households across different income ranges, which can be valuable for assessing community prosperity and socio-economic trends.

Risk Factors

US unemployment rate is at 3.4% for April 2023. High levels of unemployment can reduce the number of potential buyers in the market, as individuals who are unemployed or underemployed may not have the income or financial stability to purchase a home. This can lead to a decrease in demand for real estate, which can cause real estate prices to fall.

Owner-occupied housing rate in the US for 2021 was 64.6%. Homeowners are more likely to invest in their homes and the surrounding community, which can lead to improvements in infrastructure, schools, and other amenities. This can make the area more attractive to potential buyers and investors, which can further increase demand for real estate and real estate prices.

Mortgage default rates indicate the percentage of homeowners who fail to make timely mortgage payments, reflecting financial instability. These rates are crucial metrics as they inform investors about potential risks associated with a market. High default rates can signal economic challenges and impact property values, influencing investment decisions and risk assessments.

Drinking water violations

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