Welcome to the November 2018 Palm Springs Rent Report. Palm Springs rents increased over the past month. In this report, we'll evaluate trends in the Palm Springs rental market, including comparisons to cities throughout the metro, state, and nation.
View full Palm Springs Rent Report
Welcome to the November 2018 Palm Springs Rent Report. Palm Springs rents increased over the past month. In this report, we'll evaluate trends in the Palm Springs rental market, including comparisons to cities throughout the metro, state, and nation.
Palm Springs rents have increased 0.1% over the past month, but have been relatively flat at 0.4% in comparison to the same time last year. Currently, median rents in Palm Springs stand at $920 for a one-bedroom apartment and $1,150 for a two-bedroom. Palm Springs' year-over-year rent growth lags the state average of 1.3%, as well as the national average of 1.1%.
While rents have remained steady in the city of Palm Springs throughout the past year, cities across the metro have seen a different trend. Rents have risen in 9 of of the largest 10 cities in the Riverside metro for which we have data. Here's a look at how rents compare across some of the largest cities in the metro.
Rent growth in Palm Springs has been relatively stable over the past year - some other large cities have seen more substantial increases; in contrast, rents in a few cities have actually declined. Palm Springs is still more affordable than most large cities across the country.
| City | Median 1BR price | Median 2BR price | M/M price change | Y/Y price change |
|---|---|---|---|---|
| Riverside | $1,060 | $1,330 | -0.1% | 3.0% |
| San Bernardino | $840 | $1,050 | 0.7% | 1.1% |
| Fontana | $1,050 | $1,310 | 1.0% | 0.7% |
| Moreno Valley | $1,370 | $1,710 | -0.1% | 0.9% |
| Rancho Cucamonga | $1,400 | $1,750 | 0.6% | 3.5% |
| Ontario | $1,190 | $1,490 | -0.1% | 2.8% |
| Corona | $1,750 | $2,190 | 0.3% | 2.7% |
| Murrieta | $1,400 | $1,750 | 0.1% | 0.7% |
| Indio | $960 | $1,200 | 0.6% | -0.1% |
| Chino Hills | $1,570 | $1,990 | -0.1% | 2.9% |
| Upland | $1,450 | $1,840 | 1.6% | 2.6% |
| Redlands | $900 | $1,130 | 1.1% | 2.0% |
| Palm Desert | $960 | $1,200 | 0.4% | 0.5% |
| Palm Springs | $920 | $1,150 | 0.1% | 0.4% |
| La Quinta | $1,120 | $1,400 | 0.0% | 0.7% |
| Twentynine Palms | $660 | $830 | 0.2% | 2.2% |
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.
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.
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.
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