Rental market snapshot for Oxford, Georgia

Oxford, Georgia Rental Property Market Overview

The average rent for an apartment in Oxford is $1,791. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 1.5% over the past year.

Oxford is a city in Newton County, Georgia, United States. The population was 9,323 at the 2010 census. It is the county seat of Newton County. The city is named after Oxford, England, and was founded in 1824 as a seat for the newly created county.

Last Updated December 23, 2022

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Average monthly rent graph in Oxford Georgia | Cost of Living

  • The most expensive ZIP Code in Oxford is 30054 with an average price of $1,809
  • The cheapest ZIP Code in Oxford is 30054 with an average price of $1,655

Oxford ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
130054$1,809
230054$1,715

Live near Oxford, Georgia's Top Sights and Attractions

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Oxford, Georgia area median rent change by ZIP Code map

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How does Oxford compare to other cities in Georgia ?

citymedian price
Columbus$1,150
Savannah$1,850
Macon$1,495
Jackson$1,515
Morrow$1,800
Lovejoy$1,890
Dawsonville$1,975
Columbus$895
Lovejoy$1,890
Lithia Springs$1,840

Average household income in Oxford area graph - US Census

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The median household income in Oxford in 2021 was $43,750. This represents a 7.7% change from 2011 when the median was $40,625.

#categorypercent
0Less than $10,0008.8%
1$10,000 to $14,9995.8%
2$15,000 to $19,9998.7%
3$20,000 to $24,9999.0%
4$25,000 to $29,9992.4%
5$30,000 to $34,9995.0%
6$35,000 to $39,9996.4%
7$40,000 to $44,9994.5%
8$45,000 to $49,9998.7%
9$50,000 to $59,99912.2%
10$60,000 to $74,9994.7%
11$75,000 to $99,99910.6%
12$100,000 to $124,9995.5%
13$125,000 to $149,9991.6%
14$150,000 to $199,9993.9%
15$200,000 or more2.4%

Frequently asked questions

Our data is best categorized as "alternative data", which is a burgeoning sector. Through partnerships and direct feeds, we extract key factual elements that are publicly available within rental listings on internet listing sites and property websites. Once aggregated, we mine through the data to parse out relevant insights and calculate important metrics, benchmarks, and other KPIs. Each week, our system sifts through millions of listing observations and other pockets of market information to deliver the most comprehensive picture of rental housing available.

This is a metric that we try not to overthink. Simply, we take each unique listing observation within a geographic boundary and calculate a simple average. Of course, we're careful to filter for duplicates and other listings that aren't reflective of the market.

Yes, but please attribute us accordingly.

Yes. We can deliver bulk raw data in various formats. Please contact us to discuss - [email protected]

While some of our data is refreshed daily and other data comes in weekly, the bulk of it comes in on a biweekly basis.

Our coverage is nationwide! In our platform, we have data points for every ZIP code and neighborhood boundary in the country.

Every rental housing unit is differentiated by attributes such as its location, square footage, and amenity composition. Thanks to machine learning and natural language processing technologies we deploy, we're able to deconstruct our rental listing data points and identify key amenities for each listing. With this information, we're able to give signals around how certain amenities drive rental pricing value in certain areas.

Well, we think so! At the highest level, our process is simple. Listings data is ingested, cleaned (de-duplicated. etc.), analyzed for insights, and then presented to our users.
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