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Ohio per diem rates

Federal fiscal year 2026 · GSA CONUS

Federal travelers and contractors use General Services Administration (GSA) per diem rates to estimate allowable lodging and meals & incidental expenses (M&IE) while on official travel in Ohio. GSA publishes a standard CONUS rate for much of the state and separate, often higher, caps for designated high-cost localities.

This page summarizes published GSA data for FY 2026. For trip-specific totals (travel-day rules, meal deductions, and seasonal lodging by month), use the CONUS calculator with OH pre-selected.

Airline crew on layover in Ohio? Track GSA M&IE by trip with our free pilot & flight attendant per diem calculator (trip log, contract compare, exports).

GSA rates for Ohio (FY 2026)

Standard CONUS rate

Standard

M&IE (daily)
$0
Peak lodging (monthly cap)
$0

Applies to most of Ohio outside listed high-cost areas.

Higher-cost localities (6)

GSA publishes elevated caps for these destinations. Lodging varies by month; peak lodging is the highest monthly maximum in FY 2026.

Locality County M&IE Peak lodging
Cincinnati Hamilton / Clermont $86 $163
Cleveland Cuyahoga $80 $159
Columbus Franklin $80 $131
Dayton / Fairborn Greene / Montgomery $74 $115
Hamilton Butler / Warren $74 $124
Sandusky Erie $68 $144

Frequently asked questions

What is the GSA per diem rate for Ohio?

GSA sets a standard CONUS per diem for most of Ohio, plus higher rates for listed cities and counties. Amounts include daily M&IE and monthly lodging caps that change by month and destination.

How do I look up per diem for a specific city or ZIP?

Open the calculator, pick a locality from the dropdown or enter a ZIP code, and enter your travel dates. ZIP lookup maps to the GSA destination ID (DID) for that area.

Is this an official government website?

No. PerDiemCalculator is an independent planning tool. Rates are sourced from GSA published tables. Verify amounts with your agency and the Federal Travel Regulation.

Planning aid only · Not affiliated with GSA or the U.S. government · Data methodology