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Frequently asked questions about 21813 in Bishopville, MD

Is zip code 21813 in Bishopville, MD a good place to invest in?: No. With an investment score of 498 over 1,000 is not a good place to invest.
What was the population of zip code 21813 according to the 2020 census?: According to the 2020 census, the population of zip code 21813 in Bishopville, MD was 2,636.
What is the forecasted population for zip code 21813 in 2026?: The forecasted population for zip code 21813 in 2026 is 2,967.
What is the projected population for zip code 21813 in 2030?: The projected population for zip code 21813 in 2030 is 2,967.
What is the average property price in zip code 21813?: The average property price in zip code 21813 is $538,412.
Is the property price in zip code 21813 expected to increase or decrease?: The property prices in zip code 21813 are currently on an increasing trend.
What is the average rent value in zip code 21813?: The average rent value in zip code 21813 is $0.
What is the average household income in zip code 21813?: The average household income in zip code 21813 is $131,131.

Investment Score for 21813 Bishopville, MD

Zip Code

21813

City

Bishopville, MD

With an investment score of 498 over 1,000 zip code 21813 Bishopville, MD is not a good place to invest in the US right now.
Population is forecasted to grow 0.13% by 2026 (7.9 points above the 4.7% national average).

State highest score is

736

National highest score is

870

Open map view

Aterio Score™

498

out of 1,000 pts

State highest score is

736

National highest score is

870

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

Forecasted population 2025

2968

Forecasted population 2026

2967

Forecasted population 2027

2966

Forecasted population 2028

2966

Forecasted population 2029

2966

Forecasted population 2030

2967

Aterio's Adjusted Growth

Coming soon

Growth rate 2020 to 2025

0.126095162

Growth rate 2025 to 2030

-0.000584355

Expected growth rate from 2020 to 2030

Coming soon

Average Property price latest Month

$538,412

Average Property price 6 months ago

$537,136

Average Property price 12 months ago

$531,819

Average number of days of a property in the market

Coming soon

Total number of home for sales abandoned

Coming soon

Price speed change rate

0.004917317

Price direction

1.002377109

Home Value Relative Strength Index

93.402706784

Home Value Volatility Score Last 24 Months

39.488831809

Average annual mortgage rate in the US for 30 years

0.0703

Estimated installment price

$3,593

AVERAGE PROPERTY PRICE LATEST MONTH

$1,255,422

CHANGE IN LISTING PRICE YEAR OVER YEAR

0.3006

AVERAGE LISTING PRICE PER SQUARE FOOT

$315

Average Property price latest Month

$538,412

CHANGE IN LISTING PRICE YEAR OVER YEAR

Coming soon

AVERAGE LISTING PRICE PER SQUARE FOOT

Coming soon

DAYS ON MARKET

Coming soon

ACTIVE LISTINGS

Coming soon

Housing units available in 2020

1398

Housing units available in 2021

1449

Estimated Housing units needed 2030

1573

Deficit or excess inventory

175

Homes in construction in the next 5 years

Coming soon

Total housing units (most recent data)

1697

Occupied housing units by owners

1045

Occupied housing units by renters

252

Total Vacancy rate

0.235710077

Rental Vacancy rate

0.227

Number of business establishments in 2020

YOY GDP Growth

0.155399247

YOY GDP Growth for Retail

0.181622373

YOY GDP Growth for construction

0.21486402

YOY GDP Growth for Real Estate

0.025454326

People over 16 years old

2634

People in labor force

1679

civilian employed

1623

civilian unemployed

People marked as armed employed

% of Army employed Vs Civilian Employed

Average of household income in 2021

$131,131

Affordability index

Household debt as % of Income in 2020

3.02

Household debt as % of Income in 2021

1.985

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

-0.342715232

% of HouseHolds making less than 50K

0.254

% of HouseHolds making between 50K and 75K

0.214

% of HouseHolds making between 75K and 100K

0.13

% of HouseHolds making between 100K and 200K

0.329

% of HouseHolds making more than 200K

0.074

Unemployment rate

0.033353186

Unemployment rate for county last 6 months

0.065166667

Unemployment rate for county latest month

0.036

% of Homes Owner-occupied

0.805705474

% of mortgage defaults in 2019

0.030075188

% of mortgage defaults in 2020

0.012889366

% of mortgage defaults in 2021

0.021482277

Violent Crimes ( % above or Below US average)

0.44291503

Property Crimes ( % above or Below US average)

0.362741062

Total number of violations

146

-40%

244 US average

Total number of health violations

-5%

22 US average

Total number of contaminations

-67%

24 US average