3 Apartments under 1600 for rent in Rancho Santa Margarita, CA

Last updated January 19 at 12:59pm UTC
Results within 1 miles of Rancho Santa Margarita, CA
9 Castano
SAMLARC
Rancho Santa Margarita, CA
Updated January 18 at 11:05am UTC
1 Bedroom
$1,550
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January 2018 Rancho Santa Margarita Rent Report

Welcome to the January 2018 Rancho Santa Margarita Rent Report. Rancho Santa Margarita rents remained steady over the past month. In this report, we'll evaluate trends in the Rancho Santa Margarita rental market, including comparisons to cities throughout the metro, state, and nation.

View full Rancho Santa Margarita Rent Report
Rent Report
Rancho Santa Margarita

January 2018 Rancho Santa Margarita Rent Report

Welcome to the January 2018 Rancho Santa Margarita Rent Report. Rancho Santa Margarita rents remained steady over the past month. In this report, we'll evaluate trends in the Rancho Santa Margarita rental market, including comparisons to cities throughout the metro, state, and nation.

Rancho Santa Margarita rent trends were flat over the past month

Rancho Santa Margarita rents have remained flat over the past month, however, they have increased sharply by 6.2% year-over-year. Currently, median rents in Rancho Santa Margarita stand at $1,930 for a one-bedroom apartment and $2,480 for a two-bedroom. Rancho Santa Margarita's year-over-year rent growth leads the state average of 4.3%, as well as the national average of 2.8%.

Rents rising across the Los Angeles Metro

Throughout the past year, rent increases have been occurring not just in the city of Rancho Santa Margarita, but across the entire metro. Of the largest 10 cities that we have data for in the Los Angeles metro, all of them have seen prices rise. Here's a look at how rents compare across some of the largest cities in the metro.

  • Garden Grove has seen the fastest rent growth in the metro, with a year-over-year increase of 10.0%. The median two-bedroom there costs $2,100, while one-bedrooms go for $1,630.
  • Over the past month, Huntington Beach has seen the biggest rent drop in the metro, with a decline of 1.3%. Median two-bedrooms there cost $2,340, while one-bedrooms go for $1,820.
  • Irvine has the most expensive rents of the largest cities in the Los Angeles metro, with a two-bedroom median of $2,700; rents increased 6.2% over the past year but remained flat month-over-month.
  • Long Beach has the least expensive rents in the Los Angeles metro, with a two-bedroom median of $1,700; rents fell 0.1% over the past month but rose 3.6% over the past year.

Many large cities nationwide show more affordable rents compared to Rancho Santa Margarita

As rents have increased sharply in Rancho Santa Margarita, a few large cities nationwide have seen rents grow more modestly, or in some cases, even decline. Compared to most large cities across the country, Rancho Santa Margarita is less affordable for renters.

  • Rents increased moderately in other cities across the state, with California as a whole logging rent growth of 4.3% over the past year. For example, rents have grown by 3.3% in San Diego, 2.7% in San Jose, and 0.5% in San Francisco.
  • Rancho Santa Margarita's median two-bedroom rent of $2,480 is above the national average of $1,160. Nationwide, rents have grown by 2.8% over the past year compared to the 6.2% increase in Rancho Santa Margarita.
  • While Rancho Santa Margarita's rents rose sharply over the past year, the city of DC saw a decrease of 0.3%.
  • Renters will generally find more expensive prices in Rancho Santa Margarita than most large cities. For example, Phoenix has a median 2BR rent of $1,020, where Rancho Santa Margarita is nearly two-and-a-half times that price.

For more information check out our national report. You can also access our full data for cities and counties across the U.S. at this link.
City Median 1BR price Median 2BR price M/M price change Y/Y price change
Los Angeles $1,360 $1,750 -0.4% 3.4%
Long Beach $1,320 $1,700 -0.1% 3.6%
Anaheim $1,610 $2,070 -0.5% 5.1%
Santa Ana $1,440 $1,850 -0.4% 6.1%
Irvine $2,100 $2,700 -0.0% 6.2%
Glendale $1,390 $1,780 0.3% 2.1%
Huntington Beach $1,820 $2,340 -1.3% 0.3%
Santa Clarita $1,930 $2,490 -0.5% 6.9%
Garden Grove $1,630 $2,100 -0.2% 10.0%
Lancaster $1,340 $1,720 0.6% 8.3%
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Methodology - Recent Updates:

Data from private listing sites, including our own, tends to skew toward luxury apartments, which introduces sample bias when estimates are calculated directly from these listings. To address these limitations, we’ve recently made major updates to our methodology, which we believe have greatly improved the accuracy and reliability of our estimates.

Read more about our new methodology below, or see a more detailed post here.

Methodology:

Apartment List is committed to making our rent estimates the best and most accurate available. To do this, we start with reliable median rent statistics from the Census Bureau, then extrapolate them forward to the current month using a growth rate calculated from our listing data. In doing so, we use a same-unit analysis similar to Case-Shiller’s approach, comparing only units that are available across both time periods to provide an accurate picture of rent growth in cities across the country.

Our approach corrects for the sample bias inherent in other private sources, producing results that are much closer to statistics published by the Census Bureau and HUD. Our methodology also allows us to construct a picture of rent growth over an extended period of time, with estimates that are updated each month.

Read more about our methodology here.

About Rent Reports:

Apartment List publishes monthly reports on rental trends for hundreds of cities across the U.S. We intend these reports to be a source of reliable information that help renters and policymakers make sound decisions, and we invest significant time and effort in gathering and analyzing rent data. Our work is covered regularly by journalists across the country.

We are continuously working to improve our methodology and data, with the goal of providing renters with the information that they need to make the best decisions.