McDonald, OH population, income and ZIP codes

McDonald village is a small town in Ohio, with 3,150 residents counted in the Census American Community Survey 2019-2023 ACS 5-year estimates, which places it #389 of 1,265 ranked by population — larger than 69% of them. The median age here is 43.4 years against 39.1 nationally, a slightly older profile than the country as a whole. At this population the ACS sample is small, so the margin of error around every dollar figure below is wide — treat the numbers as a band, not a point, and expect them to move between annual releases without the place itself changing.

Households in McDonald village earn a median of $73,625 a year, 6.3% below the national figure of $78,538 and 11% above the $66,250 median for the 689 Ohio cities we cover. The median is the midpoint household, not an average, so a handful of very high earners cannot drag it upward the way they distort a mean. Poverty reaches 3.8% of residents here, less than half the 12.4% national rate.

The typical owner-occupied home in McDonald village is valued at $146,500, 51.7% below the national figure and 13% below the $168,500 peer median, while median gross rent runs $834 a month, 40.7% below the national figure, or roughly $10,008 across a full year. A household on the local median income would put about 13.6% of gross pay toward that rent against the federal 30% cost-burden threshold, so renting here is cheap relative to what people here earn. The home-price-to-income ratio works out to 2×, against roughly 3.9× nationally, so purchase prices are unusually low against local pay, the pattern in places where supply is plentiful and wage growth has been flat. 83.1% of occupied homes are owner-occupied versus 65% nationally, an owner-dominated market where rental listings are scarce and rent medians rest on a thin sample. The rent line includes utilities paid by the tenant, a definition worth remembering when comparing it against a landlord's quoted rate.

All values below were released by the Census for this exact geography, with no gap-filling on our side. Small-area estimates still carry wider margins of error than state or national figures, so check the linked ACS tables before relying on them for lending, appraisal or legal work.