Property tax delinquency reaches highest level in nearly a decade.

State-level reporting shows North Dakota recorded the lowest rate at 1.4%, with Wisconsin close behind at 1.5%. While the source does not specify the exact metric described as a “rate,” the pattern underscores meaningful regional variation that can influence mortgage-market behavior. Low reported rates in smaller, less dense states frequently reflect local demographic stability, conservative underwriting, and limited turnover, all of which can dampen credit-risk signals compared with larger urban markets. For market participants, these figures signal the need for granular analysis of state-level performance rather than relying solely on national aggregates when assessing origination standards, pricing strategy and portfolio risk exposures.

For lenders, servicers and investors, the immediate takeaway is pragmatic: geographically concentrated low rates may reduce anticipated delinquency flows and servicing burdens but can also obscure localized vulnerabilities tied to specific industries or seasonal employment. Secondary-market and portfolio managers should validate collateral-level performance and guard against overconcentration by incorporating state-specific stress scenarios into models. Regulators and analysts will require full methodological transparency — clear metric definitions, sampling and comparability — before treating headline state rankings as definitive indicators of market health. Robust decisions depend on context, not just the ranking itself.

– North Dakota — Lowest reported rate (1.4%): Indicates the smallest value reported among the states mentioned; may reflect favorable local conditions or measurement scope.
– Wisconsin — Second-lowest reported rate (1.5%): Close to the lowest figure, suggesting similar regional dynamics or comparable market characteristics.
– Metric unspecified — Important caveat: The source text labels a “rate” but does not define it; interpretation requires clarity on what the rate measures and how it was calculated.

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