August 2018 Dayton Rent Report
Welcome to the August 2018 Dayton Rent Report. Dayton rents remained steady over the past month. In this report, we'll evaluate trends in the Dayton rental market, including comparisons to similar cities nationwide.
Dayton rents declined over the past month
Dayton rents have declined 0.1% over the past month, but are up marginally by 0.9% in comparison to the same time last year. Currently, median rents in Dayton stand at $650 for a one-bedroom apartment and $850 for a two-bedroom. Dayton's year-over-year rent growth leads the state average of 0.8%, but trails the national average of 1.2%.
Dayton rents more affordable than many large cities nationwide
As rents have increased marginally in Dayton, large cities nationwide have seen rents grow more quickly. Dayton is still more affordable than most large cities across the country.
- Dayton's median two-bedroom rent of $850 is below the national average of $1,180. Nationwide, rents have grown by 1.2% over the past year compared to the 0.9% rise in Dayton.
- While Dayton's rents rose marginally over the past year, some cities nationwide saw decreases, including Seattle (-2.4%) and Minneapolis (-0.4%).
- Renters will find more reasonable prices in Dayton than most large cities. For example, San Francisco has a median 2BR rent of $3,090, which is more than three-and-a-half times the price in Dayton.
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.
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.
/-84.248184,39.742007,18/320x160.jpg80?access_token=pk.eyJ1IjoiYXBhcnRtZW50bGlzdCIsImEiOiJyOFpURF9RIn0.1SwTdF0jFznPbbOsG-GVHQ)
/-84.253139,39.795455,18/320x160.jpg80?access_token=pk.eyJ1IjoiYXBhcnRtZW50bGlzdCIsImEiOiJyOFpURF9RIn0.1SwTdF0jFznPbbOsG-GVHQ)
/-84.155182,39.727371,18/320x160.jpg80?access_token=pk.eyJ1IjoiYXBhcnRtZW50bGlzdCIsImEiOiJyOFpURF9RIn0.1SwTdF0jFznPbbOsG-GVHQ)
/-84.155793,39.727255,18/320x160.jpg80?access_token=pk.eyJ1IjoiYXBhcnRtZW50bGlzdCIsImEiOiJyOFpURF9RIn0.1SwTdF0jFznPbbOsG-GVHQ)
/-84.217017,39.774817,18/320x160.jpg80?access_token=pk.eyJ1IjoiYXBhcnRtZW50bGlzdCIsImEiOiJyOFpURF9RIn0.1SwTdF0jFznPbbOsG-GVHQ)
/-84.231597,39.789194,18/320x160.jpg80?access_token=pk.eyJ1IjoiYXBhcnRtZW50bGlzdCIsImEiOiJyOFpURF9RIn0.1SwTdF0jFznPbbOsG-GVHQ)
