Ontario County, New York Eviction Risk: High

Ontario County carries a county-wide average eviction-risk score of 7.8/10, placing it in the High risk tier. That figure puts it in the lower-risk third of New York state, with 41 of the state's 60 counties scoring higher and 18 scoring lower, but "lower-risk third" is not the same as low-risk: a 7.5 signals real legal and financial exposure for landlords operating here. Across the county's 13 cities and communities, scores span from 7.3 to 8.1, meaning the difference between choosing the right submarket and the wrong one is measurable. Average rent runs $1,014 per month, with renters spending an average of 26.7% of income on housing, and 39.3% of occupied units are renter-occupied.

For investors sizing up Ontario County, the headline number understates the local variation. A portfolio concentrated in the county's highest-scoring communities faces conditions meaningfully tougher than the county average suggests. New York eviction laws's statewide landlord-tenant framework compounds local risk: just-cause eviction requirements apply, and rent control terms vary by locality, so due diligence on each municipality is essential before committing capital.

The cities inside Ontario County

At the top of the risk range, Geneva (population 12,512) and Canandaigua (population 10,514) both score 7.7/10, tied with Crystal Beach as the highest-risk locations in the county. Geneva is the county's most populous city and accounts for a significant share of total renter demand; Canandaigua, the county seat, draws a mixed tenant base tied to tourism and services. At 7.6, both cities sit at the top of the intra-county scale, and landlords in either market should price that risk into acquisition and underwriting decisions.

Further down the range, Victor and Phelps each score 7.5/10, representing the more landlord-favorable end of what Ontario County offers. That half-point gap relative to Geneva and Canandaigua translates into modestly shorter expected timelines and somewhat lower legal exposure on average, though New York state law applies uniformly regardless of municipality. Risk in this county is genuinely hyper-local: a single score rounded to the county average obscures a spread that matters when comparing individual acquisitions.

State-level laws that apply here

Every landlord in Ontario County operates under New York eviction risk state law, specifically N.Y. RPL § 226 et seq. and RPAPL § 711. Notice requirements vary by situation: nonpayment of rent triggers a 14-day notice under RPAPL § 711(2), while a material lease violation requires only 10 days under RPAPL § 711(1). Holdover notices scale with tenancy length, running 30 days for tenancies under one year, 60 days for tenancies of one to two years, and 90 days for tenancies of two or more years, all governed by RPL § 226-c. Understanding the full New York eviction process before leasing is essential, because notice errors at the outset can reset the clock entirely.

Once a case reaches court, landlords should budget for court filing fees of $45 to $210, sheriff lockout fees of $50 to $200, and attorney fees typically running $1,000 to $4,000 depending on case complexity. Uncontested matters resolve in roughly 30 to 90 days; contested cases can stretch to 90 to 210 days. New York security deposit limits and other tenant-protection statutes add further compliance obligations, and the state's just-cause eviction requirement means landlords must document a legally recognized reason before proceeding. Retaliation is prohibited under RPL § 223-b, and habitability obligations run under RPL § 235-b. The NY State Division of Human Rights enforces both fair housing and source-of-income protections statewide. Factoring New York eviction costs into your holding-period model before closing is basic due diligence in this regulatory environment.

With an average poverty rate of 12.4% and 39.3% of housing units renter-occupied, the demand side of Ontario County's rental market carries notable financial fragility; the city-level grid above breaks that exposure down by specific community so you can compare submarkets before committing.