Hotel Occupancy and Rates Fall in Week Before May Day, Mid-range Hotels Hit Hardest

Overview

UBS Evidence Lab tracks the latest performance of China Mainland hotels and aviation using high-frequency data from STR and Flight Master. In the week of April 26 to May 2, the hotel industry saw declines in both volume and price, with RevPAR down 8.7% YoY, mid-range and upper-mid-range hotels hit hardest; in aviation, domestic routes tightened capacity slightly, with fare increases driving positive passenger revenue growth.

Core views

Demand: Travel demand in the week before May Day lagged last year, leading to declines in both hotel occupancy and average room rates. Supply: Hotel supply remains relatively loose, with significant discounting for market share; airlines proactively controlled capacity, keeping load factors down but fares up. Segment differentiation: The more economy-leaning segments saw sharper declines in both price and occupancy, reflecting more rational consumer behavior; luxury and upscale hotels were more resilient, supported by business and high-net-worth demand. Airfare: Domestic airfare rose 10% YoY, driven by carrier capacity control, with capacity down 4% YoY and load factor falling 0.8 percentage points to 82.1%, yet passenger revenue up 5%.

Analysis framework

The report employs a high-frequency tracking framework: 1) Hotels: Uses STR's weekly RevPAR, ADR, and OCC metrics, segmented into six tiers from luxury to economy, to rapidly capture volume-price dynamics. 2) Aviation: Combines Flight Master's weekly capacity, passenger, and fare data, decomposing revenue changes via the 'capacity-load factor-fare' triad. 3) Time window: Focuses on the week before the May Day holiday, compared to the same period last year, to assess holiday effects and changes in consumer spending power.

Methodology notes

• Industry/Industrial Analysis FrameworkVolume-price decomposition

  RevPAR = Occupancy (OCC) × Average Daily Rate (ADR)

  Decomposing RevPAR into occupancy and ADR helps identify whether industry pressure stems from weak demand or price competition; this report uses it to pinpoint that mid-range hotels were mainly dragged by ADR declines.

• Industry/Industrial Analysis FrameworkSupply-demand framework

  Airline Passenger Revenue = Capacity × Load Factor × Fare

  Carriers can offset weak demand by tightening capacity and raising fares; this report uses the framework to explain how a 4% YoY drop in capacity and a 10% YoY rise in fares still led to 5% YoY passenger revenue growth.

Key data

• China Mainland Hotel Overall RevPAR-8.7%Apr 26–May 2 YoY
• Mid-range Hotel RevPAR-14%YoY, largest decline
• Upper-mid-range Hotel RevPAR-5%YoY
• Luxury and Above Hotel RevPAR-7%YoY, relatively more stable
• Domestic Airfare+10%Apr 27–May 3 YoY
• Domestic Capacity-4%YoY, carriers proactively tightened
• Domestic Passenger Volume-5%YoY
• Domestic Load Factor82.1%Down 0.8 percentage points YoY

Impact & implications

The data for the week before May Day suggests: in a backdrop of slower demand recovery and relatively loose supply, price competition has intensified, with mid-range and upper-mid-range hotels bearing the most pressure; airlines, through capacity control to support fares, managed to grow revenue despite slightly lower demand, showing stronger short-term profitability resilience than hotels. Moving forward, monitor summer booking trends and macroeconomic impacts on mass consumer spending.

Risks

• Sustained macroeconomic weakness leading to below-forecast leisure and business travel demand
• Summer and National Day peak season passenger growth underperforming
• Extreme weather, natural disasters, or public health events disrupting travel
• Relaxation of duty-free licensing restrictions intensifying industry competition

What to watch

• Summer hotel booking pace and pricing trends
• Carriers' summer capacity plans and fare elasticity
• Transmission of macro consumption data to travel intent