This statistic shows the average price per square foot of site-built and manufactured homes in the United States in 2017. In 2017, the price of a site-built home was on average *** U.S. dollars per square foot, whereas a manufactured home only cost ** U.S. dollars per square foot in the United States.

The average sales price of new manufactured homes in the United States has increased since 2014. In *************, the average sales price of a new mobile home in the U.S. was ******* U.S. dollars, a slight decline from the year before.

The monthly rent of mobile homes in the U.S. has gradually increased since 2010, peaking in 2024. In the third quarter of that year, the average monthly rent for manufactured homes was *** U.S. dollars. Similarly, apartment rents also soared in 2022, followed by a slight decline in the next two years. Where in the U.S. are manufactured homes most popular? States with a growing economy and large population provide the best opportunities for manufactured housing. In September 2023, Texas had the highest number of mobile homes in the United States. Other states with a high number of mobile homes were North Carolina and Florida. Moreover, Texas also boasted the highest number of manufactured home production plants. Affordability of mobile homes across the U.S. Manufactured homes are considerably less expensive than regular homes, which makes them an attractive option for people looking to purchase property without breaking the bank. Mobile homes are cheaper because manufacturers benefit from economies of scale due to large-scale production, which allows them to lower costs per unit. Additionally, mobile homes lose value faster than traditional homes, which can make them more affordable to purchase initially. The average sales price for a new mobile home has been on the rise, but during the housing boom in 2021, it increased dramatically.

This indicator represents the tracts ranked by their percentile level of percentage of mobile home housing units. The data source is 2017-2021 American Community Survey, 5-year estimates. The percentile and the rank were calculated. A percentile is a score indicating the value below which a given percentage of observations in a group of observations fall. It indicates the relative position of a particular value within a dataset. For example, the 20th percentile is the value below which 20% of the observations may be found. The rank refers to a process of arranging percentiles in descending order, starting from the highest percentile and ending with the lowest percentile. Once the percentiles are ranked, a normalization step is performed to rescale the rank values between 0 and 10. A rank value of 10 represents the highest percentile, while a rank value of 0 corresponds to the lowest percentile in the dataset. The normalized rank provides a relative assessment of the position of each percentile within the distribution, making it simpler to understand the relative magnitude of differences between percentiles. Normalization between 0 and 10 ensures that the rank values are standardized and uniformly distributed within the specified range. This normalization allows for easier interpretation and comparison of the rank values, as they are now on a consistent scale. For detailed methods, go to connecticut-environmental-justice.circa.uconn.edu.