University City is friendly for those on foot, is convenient for biking and offers many nearby public transportation options, according to Walk Score's rating system.
So what does the low-end pricing on a rental in University City look like these days—and what might you get for the price?
We took a look at local listings for studios and one-bedroom apartments in University City via rental site Zumper to find out what budget-minded apartment seekers can expect to find in this San Diego neighborhood.
Read on for the cheapest listings available right now. (Note: prices and availability are subject to change.)
Hoodline offers data-driven analysis of local happenings and trends across cities. Links included in this article may earn Hoodline a commission on clicks and transactions.
9515 Genesee Ave.
This one-bedroom, one-bathroom, situated at 9515 Genesee Ave., is listed for $1,700/month for its 600 square feet of space.
In the unit, the listing promises a balcony, a dishwasher, a walk-in closet and in-unit laundry. The building features a swimming pool and on-site laundry. Cats and dogs are not welcome.
(See the complete listing here.)
3939 Nobel Drive, #158
Then there's this 680-square-foot space with one bedroom and one bathroom at 3939 Nobel Drive, #158, listed at $1,750/month.
In the apartment, you'll find a mix of hardwood floors and carpeting, a balcony and in-unit laundry. Both cats and dogs are permitted. The building offers assigned parking, a swimming pool, a fitness center and tennis courts. The rental doesn't require a leasing fee.
(See the listing here.)
3950 Mahaila Ave.
Finally, check out this 695-square-foot one-bedroom, one-bathroom at 3950 Mahaila Ave., listed at $1,755/month.
Inside, anticipate high ceilings, air conditioning, a balcony, a fireplace, in-unit laundry and a dishwasher. As far as amenities in the building, the listing promises a swimming pool, a fitness center, on-site management and an elevator. When it comes to pets, both meows and barks are welcome.
(Here's the listing.)
This story was created automatically using local real estate data, then reviewed by an editor. Click here for more about what we're doing. Got thoughts? Go here to share your feedback.
