Manufactured Home Producer Price Index January 2026 - Wholesale Pricing Trends
Rob Ripperda
Manufactured Home (PPI)
The Producer Price Index (PPI) for manufactured housing fell 1.3% in January from the previous month.
Wholesale prices nationally were up 1.3% above January of 2025.
While the January reading marked a high for this time a yearm it marked a decline in reported wholesale prices from the end of 2025.
This chart is built from the U.S. Bureau of Labor Statistics Producer Price Index by Industry: Manufactured home, mobile home, manufacturing, not seasonally adjusted (PCU321991321991)
Inputs to Residential Construction Goods (PPI)
On the costs of materials to manufacturers the PPI for input goods to residential construction rose 0.9% in January from the previous month. The year-over-year change for January was 2.4% above 2025.
The Inputs to Residential Construction Goods is not a perfect proxy for manufactured home builders materials costs as it includes ready-mix concrete prices and does not include the steel used for chassis assembly, nor does it weight transportation costs as heavily as they would be in a manufactured home index. We plan on expanding this report to include looks at those markets individually in the coming months.
This chart is built from the U.S. Bureau of Labor Statistics Producer Price Index by Commodity: Inputs to residential construction, goods, not seasonally adjusted (WPUIP2311001)
Prices Received for Finished Manufactured Homes (TMHS)
The regional Texas Manufactured Housing Survey (TMHS) results had prices received for finished homes increasing in both January and February for manufacturers.
We recently created a new report with the data and analysis on all of the TMHS indices for TMHA members.
Average Retail Selling Prices with TMHA Forecasts (MHS)
Using the MH PPI in a regression model to predict average selling prices in the South Census region puts the average sales price in December at $155,200 (+/- $9,200) for multi-section homes and $84,900 (+/- $6,400) for single-section homes*.
*The PPI is not a perfect predictor for the Census’ Manufactured Housing Survey average price results, but it does account for over 90% of the variability when used in a regression model as the explanatory variable.