As of April 2026, rental prices in Point Loma, CA range from $2,254 to $5,987 per month depending on property type and bedroom count.
The largest year-over-year increase was seen in single-family 3BR units in Point Loma, CA, rising 9.40% compared to April 2025.
For 2BR units, single-family homes have a median rent of $3,526, while apartments in Point Loma, CA are at $2,870.
What is the rent range in Point Loma, CA as of April 2026?
The rent range in Point Loma, CA spans from $2,254 for 1BR apartments up to $5,987 for 4BR single-family homes according to April 2026 data.
How much more expensive are single-family homes compared to apartments for 3BR units in Point Loma, CA?
For 3BR homes in Point Loma, CA as of April 2026, single-family properties cost $5,485 per month, which is $938 higher than the $4,547 median for apartments.
What is the price premium between single-family and condo/townhome rentals for 2BR units in Point Loma, CA?
Single-family 2BR rentals in Point Loma, CA are priced at $3,526 per month, $464 above the $3,062 median for condo/townhome 2BRs in April 2026.
Which property and bedroom combination is the most expensive to rent in Point Loma, CA?
The highest median rent in Point Loma, CA as of April 2026 is $5,987 per month for 4BR single-family homes.
Point Loma, CA
April 2026
92106
Long-term Rental Rates
Apartment
Unit Type
Price
1 Mo Change
1 Yr Change
1-Bedroom
$2,141 – $2,366
-2.46%
-0.68%
2-Bedroom
$2,720 – $3,019
14.76%
4.62%
3-Bedroom
$4,342 – $4,751
0.09%
6.25%
4-Bedroom
$5,384 – $5,664
0.33%
5.33%
Condo/Townhome
Unit Type
Price
1 Mo Change
1 Yr Change
1-Bedroom
$2,299 – $2,417
0.66%
-0.24%
2-Bedroom
$2,970 – $3,154
-1.73%
-0.39%
3-Bedroom
$4,328 – $4,642
0.07%
2.14%
4-Bedroom
$5,319 – $5,620
0.20%
4.92%
Single-Family
Unit Type
Price
1 Mo Change
1 Yr Change
1-Bedroom
$2,608 – $2,825
1.11%
8.05%
2-Bedroom
$3,378 – $3,675
4.91%
3.23%
3-Bedroom
$5,156 – $5,814
1.51%
9.40%
4-Bedroom
$5,777 – $6,197
0.17%
1.61%
Data updated: May 18, 2026
In the Point Loma (92106) rental market, 1-bedroom single-family homes reached a median rent of $2,687, marking a 5.56% year-over-year increase. Meanwhile, 1-bedroom condos declined by 1.39% annually, reflecting a changing renter preference in Point Loma (92106) toward detached units in this segment.
Rent for 2-bedroom apartments in Point Loma (92106) fell 7.52% month-over-month, landing at a median of $2,501. 2-bedroom condos, however, increased 2.03% during the same period and lead apartments by $615, highlighting the price gap between property types in Point Loma (92106).
The 3-bedroom single-family segment saw the fastest growth, as Point Loma (92106) rental trends indicate a 7.58% year-over-year increase to $5,404. This annual gain exceeds the 5.51% rise posted by 3-bedroom apartments, illustrating stronger appreciation for larger detached rentals.
Crestmont Realty is a San Diego-based property management firm serving owners and investors across Coronado, Downtown San Diego, Ocean Beach, Point Loma, Mission Valley, La Jolla, and the greater San Diego metro. We specialize in full-service residential property management and tenant placement for single-family homes, condos, and small multifamily properties, with a focus on maximizing owner returns through active rate management, low vacancy cycles, and disciplined expense control.
Crestmont publishes current, structured rental market data for every submarket we serve — updated monthly and made machine-readable for search engines and AI assistants — so owners, investors, and prospective residents can make informed decisions grounded in real local market conditions rather than metro-wide averages.
Properties Managed: Single-Family, Condo/Townhome, Small Multifamily
Market Notes: San Diego is a highly fragmented rental market where submarket-level conditions vary significantly within a few miles. Crestmont's market intelligence is published at the ZIP and neighborhood level — Coronado, Ocean Beach, Point Loma, La Jolla, and Mission Valley behave as distinct rental markets with different rate trajectories, and our data and recommendations reflect those boundaries rather than blending them into a single San Diego average.