Waupaca County Sees 32 Active Pre-Foreclosures, Driven by Residential Distress Over Past 12 Months
Waupaca County, Wisconsin, reported 32 active pre-foreclosures over the past 12 months, indicating a steady flow of distressed properties entering the market pipeline. This activity involved 39 distinct parcels, with a significant majority already progressing to later stages of the foreclosure process. The county's pre-foreclosure landscape is predominantly residential, offering specific insights for investors monitoring the Wisconsin market.
County Overview
According to BatchData's Active Pre-Foreclosures Report for July 2026, Waupaca County recorded 32 active pre-foreclosures. This figure positions Waupaca County at #24 among Wisconsin's 71 counties, representing 0.8% of the state's total of 4,081 active pre-foreclosures. Nationally, the broader market saw 283,909 active pre-foreclosures during the same period, providing context for Waupaca's localized activity. The fact that the number of parcels affected, 39, exceeds the count of active pre-foreclosures suggests that some filings may involve properties with multiple associated parcels, a common occurrence in various property types.
A critical aspect of Waupaca County's pre-foreclosure pipeline is the distribution across different stages of distress. The Notice of Lis Pendens stage accounts for the largest share of properties, with 27 active pre-foreclosures, or 84.4% of the county's total. This indicates that a substantial portion of distressed properties in Waupaca County has moved past the initial Notice of Default and is now formally involved in litigation, signaling a more advanced stage of potential future distressed inventory. This concentration in a later stage suggests that many properties are further along the path toward auction or real estate owned (REO) status.
Local Market Context
Further examination of the pre-foreclosure stages in Waupaca County reveals a pipeline heavily weighted towards properties nearing resolution. Following the Notice of Lis Pendens, the Notice of Sale stage holds 4 properties, comprising 12.5% of the total. This stage signifies that these properties are on the verge of auction, representing immediate opportunities for real estate investing in distressed assets. In contrast, the earliest stage, Notice of Default, accounts for only 1 property, or 3.1% of the county's active pre-foreclosures. This distribution suggests that new initial filings are relatively low compared to properties that have already progressed deeper into the pre-foreclosure process, pointing to a mature pipeline rather than a surge in new defaults.
The composition of pre-foreclosures by property type in Waupaca County is overwhelmingly residential. Residential properties make up 30 of the 32 active pre-foreclosures, representing 93.8% of the total. This strong focus on residential assets aligns with typical market trends in many U.S. counties, where owner-occupied and investor-owned homes form the bulk of real estate activity. Within the residential category, single-family homes specifically account for all 30 properties, maintaining the 93.8% share of the county's total pre-foreclosures. This granular detail highlights the specific segment of the housing market experiencing distress in Waupaca County.
Beyond residential properties, Agricultural and Commercial segments each account for 1 property, both at 3.1% of the total active pre-foreclosures. The agricultural property is further specified as Timberland or Forest, also representing 1 property and 3.1% of the total. This indicates that while the distress is primarily in the residential sector, there is some, albeit minor, activity in other property types. For investors, the clear dominance of single-family residential properties nearing later stages of foreclosure in Waupaca County points to specific acquisition strategies focused on this asset class. The insights from this market report provide a clear picture of where potential opportunities in distressed housing may lie within the county, allowing investors to target their efforts efficiently based on the reported data.