Ulster Savings Bank: Bank Stress & Real-Estate Credit Exposure

Ulster Savings Bank (FDIC Cert #15970) carries a DLRadar bank-stress score of 83/100, a severe reading of the credit and balance-sheet pressure weighing on the institution. That figure comes straight from public FDIC call-report data — capital, asset quality, earnings and property-loan concentration — weighted by the bank's lending footprint.

Over the trailing week its stress reading is stable. Momentum matters as much as the level — a rising score means the lenders behind a market are tightening, and financing tends to seize up before distress reaches listings. At the county level, Ulster Savings Bank finances markets like Ulster County, NY, Orange County, NY, Dutchess County, NY — the specific places where its credit posture translates into local lending capacity. The value is in the linkage: Ulster Savings Bank's severe reading is mapped onto 147 ZIP codes and 3 counties where DLRadar independently tracks foreclosures, tax liens and ownership turnover, so credit pressure and physical distress line up on one timeline. What separates this from a plain credit rating is the geographic weighting — Ulster Savings Bank's 83/100 reading reflects not just its balance sheet but the 3 counties it lends into, so the score doubles as a map of where its stress will land first. Ulster Savings Bank runs a compact, single-state real-estate lending footprint — 3 U.S. counties across 1 state, spanning 147 ZIP codes. It concentrates most in New York (3 counties). The combination of a severe reading and a compact footprint is what makes Ulster Savings Bank worth watching as a supply signal. No bank is too small to score the same way: Ulster Savings Bank runs through the identical FDIC-based model as the largest lenders, refreshed each filing cycle, so its 3-county, 147-ZIP profile means exactly what it would for any institution nationwide.

The acquisition angle is simple — lending capacity is what moves deals. As Ulster Savings Bank tightens across its markets, refinances fail, builders lose credit, and over-levered owners are pushed toward default and forced exit. Watching lender stress is therefore an upstream, leading signal of where distressed inventory surfaces next.

The same deterministic model runs for all FDIC banks, each wired to on-the-ground foreclosure, tax-lien and ownership signals. That lets you move ahead of the market, with each number sourced from public federal filings.