Data on this report is based on areas within the legal city boundary, outlined in black on the map. Any additional neighborhoods shown on the map are associated with the city by name and are included for reference only.
With a population of 6,777, 2,858 total housing units (homes and apartments), and a median house value of $318,455, Bedford real estate and house prices are near the national average for all cities and towns.
Single-family detached homes are the single most common housing type in Bedford, accounting for 62.92% of the town's housing units. Other types of housing that are prevalent in Bedford include large apartment complexes or high rise apartments ( 19.30%), duplexes, homes converted to apartments or other small apartment buildings ( 7.04%), and a few row houses and other attached homes ( 5.40%).
The most prevalent building size and type in Bedford are three and four bedroom dwellings, chiefly found in single-family detached homes. The town has a mixture of owners and renters, with 48.46% owning and 51.54% renting.
There is a lot of housing in Bedford built from 1970 to 1999 so parts of town may have that "Brady Bunch" look of homes popular in the '70s and early '80s, although some of these houses were built up through the early '90s as well. There is also a lot of housing in Bedford built between 1940-1969 ( 33.97%). A lesser amount of the housing stock also hails from before 1939 ( 14.99%). There's also some housing in Bedford built between 2000 and later ( 9.80%).
Vacant housing appears to be an issue in Bedford. Fully 11.32% of the housing stock is classified as vacant. Left unchecked, vacant Bedford homes and apartments can be a drag on the real estate market, holding Bedford real estate prices below levels they could achieve if vacant housing was absorbed into the market and became occupied. Housing vacancy rates are a useful measure to consider, along with other things, if you are a home buyer or a real estate investor.
Bedford Home Appreciation Rates
Real estate appreciation rates in Bedford's have tracked to near the national average over the last then years, with the annual appreciation rate averaging 6.24% during the period.
NeighborhoodScout's data show that during the latest twelve months, Bedford's appreciation rate, at 7.02%, has been at or slightly above the national average. In the latest quarter, Bedford's appreciation rate has been 3.17%, which annualizes to a rate of 13.28%.
Relative to Virginia, our data show that Bedford's latest annual appreciation rate is lower than 60% of the other cities and towns in Virginia.
One very important thing to keep in mind is that these are average appreciation rates for the town. Individual neighborhoods within Bedford differ in their investment potential, sometimes by a great deal. Fortunately, you can use NeighborhoodScout to pinpoint the exact neighborhoods in Bedford - or in any city or town - that have the best track record of real estate appreciation, by the latest quarter, the last year, 2 years, 5 years, 10 years, or even since 2000, to assist you in making the best Bedford real estate investment or home purchase decisions.
Average Home
Values
Average Home Values
Median home value is the value which has equal numbers of homes valued above and below it. The median home value is more stable than the average home value, which can be greatly affected by a few very high or very low home values.
Median Home Value
$318,455
Bedford, VA Home Prices
> $1,495,000
$1,122,001 - $1,495,000
$748,001 - $1,122,000
$598,001 - $748,000
$449,001 - $598,000
$299,001 - $449,000
$150,001 - $299,000
$75,001 - $150,000
$0 - $75,000
0.0%
0.0%
0.1%
0.1%
0.1%
0.1%
3.9%
3.9%
15.9%
15.9%
27.0%
27.0%
47.9%
47.9%
2.2%
2.2%
2.9%
2.9%
0%
100.0%
% of Homes
Average
for Virginia
Average
for nation
Number of Homes And Apartments:
2,858
Bedford Appreciation
Rates
Appreciation Rates
NeighborhoodScout's® Exclusive Home Appreciation Rates
NeighborhoodScout reveals the home appreciation rates for every city, town,
and even most neighborhoods in America.
NeighborhoodScout has calculated and provides home appreciation rates as a
percentage change in the resale value of existing homes in that city, town
or neighborhood over the latest quarter, the last year, 2-years, 5-years,
10-years, and even from 2000 to present. We show both the cumulative
appreciation rate, and the average annual appreciation rate for each time
period (e.g., last 5-years: 84% total appreciation, Avg. per year: 16.8%).
We also show how each city, town or neighborhood's appreciation rate compares
to other cities, towns and neighborhoods in the nation, and within the same
state (e.g., 9 relative to the nation, 5 relative to California [10 is highest]).
This makes comparisons of house appreciation rates equally easy for professional
investors and individual homebuyers. In this example, the neighborhood is
one of the highest appreciating in the nation over the last 5-years, but is
only average in appreciation for the same period relative to other neighborhoods
in the state of California.
About the appreciation rate data
Our data are designed to capture changes in the value of single-family homes
at the city, town and even the neighborhood level. Different neighborhoods
within a city or town can have drastically different home appreciation rates.
NeighborhoodScout vividly reveals such differences. Our data are built upon
median house values in each neighborhood, and combine data from the United
States Bureau of the Census with quarterly house resale data. The data
reflect appreciation rates for the neighborhood overall, not necessarily
each individual house in the neighborhood.
Our data are calculated and updated every three months for each neighborhood,
city and town, approximately two months after the end of the previous quarter.
Each quarter, Fannie Mae and Freddie Mac provide their most recent mortgage
transactions to the FHFA. These data are combined with the data of the
previous 29 years to establish price differentials on properties where more
than one mortgage transaction has occurred. The data are merged with
neighborhood-specific median house values from the Census Bureau using
NeighborhoodScout's proprietary algorithms developed by Dr. Schiller,
creating an updated historical database that is then used to estimate the
appreciation rates for each city, town and neighborhood within each time
period. These resultant neighborhood appreciation rates are a broad measure
of the movement of single-family house prices. The appreciation rates serve
as an accurate indicator of house price trends at the neighborhood level.
How is the home appreciation data calculated?
Neighborhood appreciation rates from NeighborhoodScout are based on both
median house value data reported by respondents via the U.S. Bureau of the
Census, and a weighted repeat sales index, meaning that they measure average
price changes in repeat sales or refinancings on the same properties. This
information is obtained by reviewing repeat mortgage transactions on
single-family properties whose mortgages have been purchased or securitized
by Fannie Mae or Freddie Mac (by the FHFA). Then proprietary algorithms
developed by Dr. Schiller, NeighborhoodScout's founder, are applied
to produce neighborhood appreciation rates. Appreciation rates are updated
by NeighborhoodScout each quarter as additional mortgages are purchased or
securitized by Fannie Mae and Freddie Mac. The new mortgage acquisitions
are used to identify repeat transactions for the most recent quarter, then
are fed into NeighborhoodScout's search algorithms.
What transactions are covered in the appreciation rate data?
Neighborhood appreciation rate data are based on transactions involving
conforming, conventional mortgages. Only mortgage transactions on single-family
properties are included. Conforming refers to a mortgage that both meets
the underwriting guidelines of Fannie Mae or Freddie Mac and that doesn't
exceed the conforming loan limit, a figure linked to an index published by
the Federal Housing Finance Board. Conventional means that the mortgages
are neither insured nor guaranteed by the FHA, VA, or other federal government
entity.
Mortgages on properties financed by government-insured loans, such as FHA
or VA mortgages, are excluded, as are properties with mortgages whose principal
amount exceeds the conforming loan limit. Mortgage transactions on condominiums
or multi-unit properties are also excluded. As such, NeighborhoodScout does
not produce appreciation rates for neighborhoods that consist solely of
renters or have no single-family homes (dwellings without an entrance directly
to the outside).
Time Period
Total Appreciation
Average Annual Rate
Compared To
VA
Compared To
America
Latest Quarter:
2024 Q2 - 2024 Q3
3.17%
13.28%
5
7
Last 12 Months:
2023 Q3 - 2024 Q3
7.02%
7.02%
4
6
Last 2 Years:
2022 Q3 - 2024 Q3
18.53%
8.87%
9
9
Last 5 Years:
2019 Q3 - 2024 Q3
57.79%
9.55%
6
6
Last 10 Years:
2014 Q3 - 2024 Q3
83.15%
6.24%
6
4
Since 2000:
2000 Q1 - 2024 Q3
147.21%
3.72%
3
5
* 10 is highest
Rent &
Ownership
Rent & Ownership
Average Market Rent
Average market rent is exclusively developed by NeighborhoodScout. It reveals the average monthly rent paid for market rate apartments and rental homes in the city, excluding public housing. Utility payments are not included.
Homeownership Rate
The percentage of housing units in the city that are occupied by the property owner versus occupied by a tenant (Vacant units are counted separately).
Average Market Rent:
$1,753
/ per month
Homeownership Rate
Owners
Renters
48.5%
48.5%
51.5%
51.5%
0%
100.0%
% of Homes
Vacancy Rate
Vacant
Occupied
11.3%
11.3%
88.7%
88.7%
0%
100.0%
% of Homes
Housing Market
Details
Housing Market Details
Age of Homes
The proportion of homes and apartments in the city built within a certain time period.
Type of Homes
These are the predominate forms of housing in the city. Percentages are based on the number of housing units for each type over the total number of units across all types.
Size of Homes
The predominate size of homes in the city based on the number of bedrooms. Homes include single family houses as well as apartment and condominium units.
