
Apartments for Rent in the Christmas Tree Lane Neighborhood of Los Angeles, CA with Washer/Dryer (17 Rentals)


1968 El Molino Ave

2118 N Marengo Ave

1832 Summit Ave

1983 Lake Ave
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Mariposa Townhomes

808 E Sacramento St

768-774 E Sacramento St

664 E Sacramento St

856 Alameda St
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Millard Creek

Woodbury Apartments

2010 N Los Robles Ave

1507 Wesley Ave

2080 Raymond Ave
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La Wayne Apartments

1685 N Summit Ave
Christmas Tree Lane, Los Angeles, CA Local Guide

How much does it cost to rent an apartment in Christmas Tree Lane?
| Bedroom | Average Rent | Cheapest Rent | Highest Rent |
|---|---|---|---|
| Christmas Tree Lane Studio Apartments | $2,047 | $1,950 | $2,145 |
| Christmas Tree Lane 1 Bedroom Apartments | $2,040 | $1,850 | $2,350 |
| Christmas Tree Lane 2 Bedroom Apartments | $2,999 | $2,500 | $3,200 |
Browse Apartments in this Neighborhood
There are currently 17 rentals with your search options within a 1 mile radius of the Christmas Tree Lane Neighborhood of Los Angeles, CA.
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Frequently Asked Questions about Christmas Tree Lane Apartments with Washer/Dryer
How much is the average rent for Christmas Tree Lane Apartments with Washer/Dryer?
The average rent for a Apartment in Christmas Tree Lane with Washer/Dryer is $2,775.
What is the largest Christmas Tree Lane Apartment for rent with Washer/Dryer?
Today's Apartment with Washer/Dryer and the most square footage in Christmas Tree Lane is a 1,000 square feet unit starting from $2,350 at Altadena Townhouse Apartments.
Expert Rental Resources
The rental experts at ApartmentHomeLiving.com provide you with top advice, tools, and tips for understanding the leasing process and finding the perfect rental. Here are a few helpful rental and leasing articles from our experts to guide you on your search.
Helpful Local Expert Guides

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Articles, How-To's, and Tips

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Insurance seems to be a part of life. In some states, having insurance is the law, as is the case for automobile insurance. Renters are no exception.

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There’s a tenet in marketing about client or customer attraction and retention. Studies and data have consistently shown it costs less to keep a current customer than to attract a new one.