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 4,062, 2,367 total housing units (homes and apartments), and a median house value of $679,177, Santa Clara house prices are not only among the most expensive in Utah, Santa Clara real estate also is some of the most expensive in all of America.
Single-family detached homes are the single most common housing type in Santa Clara, accounting for 85.43% of the city's housing units. Other types of housing that are prevalent in Santa Clara include row houses and other attached homes ( 6.78%), large apartment complexes or high rise apartments ( 4.05%), and a few duplexes, homes converted to apartments or other small apartment buildings ( 3.75%).
Owner-occupied, three and four bedroom dwellings, primarily in single-family detached homes are the most prevalent type of housing you will see in Santa Clara. Owner-occupied housing accounts for 78.35% of Santa Clara's homes, and 69.84% have either three or four bedrooms, which is average sized relative to America.
Santa Clara homes and real estate are some of the newest in America. 50.84% of Santa Clara's housing was built since 2000, making the city have a very new look and feel. If you like the amenities of newer homes and subdivisions, then you will probably like what the Santa Clara real estate market has to offer. Quite a bit of the housing here was also built between 1970-1999 ( 45.93%), and between 1940-1969 ( 2.06%). There's also some housing in Santa Clara built before 1939 ( 1.16%).
Vacant housing appears to be an issue in Santa Clara. Fully 11.32% of the housing stock is classified as vacant. Left unchecked, vacant Santa Clara homes and apartments can be a drag on the real estate market, holding Santa Clara 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.
Santa Clara Home Appreciation Rates
In the last 10 years, Santa Clara has experienced some of the highest home appreciation rates of any community in the nation. Santa Clara real estate appreciated 152.86% over the last ten years, which is an average annual home appreciation rate of 9.72%, putting Santa Clara in the top 10% nationally for real estate appreciation. If you are a home buyer or real estate investor, Santa Clara definitely has a track record of being one of the best long term real estate investments in America through the last ten years.
NeighborhoodScout's data show that during the latest twelve months, Santa Clara's appreciation rate, at 8.38%, has been at or slightly above the national average. In the latest quarter, Santa Clara's appreciation rate has been 3.98%, which annualizes to a rate of 16.87%.
Relative to Utah, our data show that Santa Clara's latest annual appreciation rate is higher than 80% of the other cities and towns in Utah.
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
$679,177
Santa Clara, UT Home Prices
> $1,452,000
$1,089,001 - $1,452,000
$726,001 - $1,089,000
$581,001 - $726,000
$436,001 - $581,000
$291,001 - $436,000
$145,001 - $291,000
$73,001 - $145,000
$0 - $73,000
9.5%
9.5%
13.4%
13.4%
18.4%
18.4%
24.0%
24.0%
23.2%
23.2%
8.9%
8.9%
0.7%
0.7%
0.6%
0.6%
1.3%
1.3%
0%
100.0%
% of Homes
Very High
for Utah
Very High
for nation
Number of Homes And Apartments:
2,367
Santa Clara 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
UT
Compared To
America
Latest Quarter:
2023 Q4 - 2024 Q1
3.98%
16.87%
8
8
Last 12 Months:
2023 Q1 - 2024 Q1
8.38%
8.38%
9
5
Last 2 Years:
2022 Q1 - 2024 Q1
21.21%
10.09%
8
5
Last 5 Years:
2019 Q1 - 2024 Q1
77.59%
12.17%
9
10
Last 10 Years:
2014 Q1 - 2024 Q1
152.86%
9.72%
8
10
Since 2000:
2000 Q1 - 2024 Q1
220.98%
4.93%
6
9
* 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:
$2,442
/ per month
Homeownership Rate
Owners
Renters
78.4%
78.4%
21.6%
21.6%
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.
