Frequently asked questions about 26851 in Wardensville, WV

Is zip code 26851 in Wardensville, WV a good place to invest in?: No. With an investment score of 337 over 1,000 is not a good place to invest.
What was the population of zip code 26851 according to the 2020 census?: According to the 2020 census, the population of zip code 26851 in Wardensville, WV was 1,868.
What is the forecasted population for zip code 26851 in 2025?: The forecasted population for zip code 26851 in 2025 is 1,603.
What is the projected population for zip code 26851 in 2030?: The projected population for zip code 26851 in 2030 is 1,572.
What is the average property price in zip code 26851?: The average property price in zip code 26851 is $220,429.
Is the property price in zip code 26851 expected to increase or decrease?: The property prices in zip code 26851 are currently on an increasing trend.
What is the average rent value in zip code 26851?: The average rent value in zip code 26851 is -.
What is the average household income in zip code 26851?: The average household income in zip code 26851 is $67,869.

Investment Score for 26851 Wardensville, WV

Zip Code

26851

City

Wardensville, WV

Aterio Score™

337

out of 1,000 pts

With an investment score of 337 over 1,000 zip code 26851 Wardensville, WV is not a good place to invest in the US right now.
Population is forecasted to decrease -14.2% by 2025. A negative growth in population is not good for the real estate market.

State highest score is

734

National highest score is

846

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Population & Migration

Census 2010

2,180

Census 2020

1,868

Forecasted population 2025

1,603

Forecasted population 2026

1,596

Forecasted population 2027

1,589

Forecasted population 2028

1,583

Forecasted population 2029

1,577

Forecasted population 2030

1,572

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

Coming soon

Growth rate 2020 to 2025

-14.2%

Growth rate 2025 to 2030

-1.9%

Expected growth rate from 2020 to 2030

Coming soon

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

Average Property price latest Month

220428.826294556

Average Property price 6 months ago

221790.053733568

Average Property price 12 months ago

217157.306720081

Average number of days of a property in the market

Total number of home for sales abandoned

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.

Price speed change rate

0.011202839

Price direction

0.993862541

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

Home Value Relative Strength Index

86.93070077

Home Value Volatility Score Last 24 Months

41.58493676

Average annual mortgage rate in the US for 30 years

0.0675

Estimated installment price

1429.697178114

Listings

realtor.com

AVERAGE PROPERTY PRICE LATEST MONTH

525501

CHANGE IN LISTING PRICE YEAR OVER YEAR

0.3553

AVERAGE LISTING PRICE PER SQUARE FOOT

250

DAYS ON MARKET

ACTIVE LISTINGS

zillow.com

Average Property price latest Month

220428.826294556

CHANGE IN LISTING PRICE YEAR OVER YEAR

AVERAGE LISTING PRICE PER SQUARE FOOT

DAYS ON MARKET

ACTIVE LISTINGS

Demand vs. Supply

Housing units available in 2020

1479

Housing units available in 2021

1406

Estimated Housing units needed 2030

1244

Deficit or excess inventory

-234

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.

Homes in construction in the next 5 years

Total housing units (most recent data)

1273

Occupied housing units by owners

739

Occupied housing units by renters

128

Total Vacancy rate

0.318931658

Rental Vacancy rate

0.038

Economic Development

Number of business establishments in 2020

YOY GDP Growth

0.114510348

YOY GDP Growth for Retail

0.201325798

YOY GDP Growth for construction

-0.013293944

YOY GDP Growth for Real Estate

-0.024752011

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.

People over 16 years old

1538

People in labor force

842

civilian employed

816

civilian unemployed

People marked as armed employed

% of Army employed Vs Civilian Employed

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

Average of household income in 2021

67869

Affordability index

Household debt as % of Income in 2020

1.985

Household debt as % of Income in 2021

1.985

Rate of the previous household debt to income in 2021 vs 2020

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.

% of HouseHolds making less than 50K

0.498

% of HouseHolds making between 50K and 75K

0.123

% of HouseHolds making between 75K and 100K

0.175

% of HouseHolds making between 100K and 200K

0.178

% of HouseHolds making more than 200K

0.025

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

Unemployment rate

0.03087886

Unemployment rate for county last 6 months

0.034

Unemployment rate for county latest month

0.033

% of Homes Owner-occupied

0.852364475

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.

% of mortgage defaults in 2019

0.104347826

% of mortgage defaults in 2020

0.034782609

% of mortgage defaults in 2021

0.034782609

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.

Violent Crimes ( % above or Below US average)

0.301069359

Property Crimes ( % above or Below US average)

0.263877781

Drinking water violations

Total number of violations

342

Total number of health violations

Total number of contaminations