A Technical Analysis of Transient Lodging Demand Along
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A Technical Analysis of Transient Lodging Demand Along
A Technical Analysis of Transient Lodging Demand Along The Grand Strand: The Moving Average Rate of Change A Presentation to the Hospitality Sales and Marketing Association International South Carolina Chapter Myrtle Beach, December 16, 2015 L. Taylor Damonte, Clay Brittain Jr. Center for Resort Tourism E. Craig Wall Sr. College of Business Administration Damonte, L.T. Brittain Center for Resort Tourism Horry County Transient Lodging Inventory Hotels/Condo-hotels Timeshare Units Campsites 37,021 3,261 4,554 41,467 5,982 6,831 39,402 5,971 5,125 53,165 11,085 7,688 6% 83% 13% 28% 85% 13% Vacation Rental Properties2 Total 4,182 49,018 20,074 74,354 5,305 55,803 21,751 93,688 27% 14% 8% 26% 1 -- Bedroom equivalents are defined as spaces capable of sleeping 2 to 4. 2 -- Vacation rental properties includes both single-family and multi-family units. This number changes throughout the year. It is estimated by counting the units advertised on the Internet and through informal surveys of realtors. 3 -- Assumes 1 campsite equals 1.5 bedroom equivalent sleeping spaces. Damonte, L.T. Brittain Center for Resort Tourism Horry County Transient Lodging Study Hotels, condo-hotels and campsites (HC-HCs), nightly rentals… Performance estimated using self-reported performance data from a voluntary sample of participating properties. Average weekly number of units (n) = 9,440 (13,058 bedroom equivalents). The units are 32 percent hotels (25 percent of bedroom equivalents), 60 percent condo-hotels (65 percent of bedroom equivalents), 8 percent campsites (9 percent of bedroom equivalents). Damonte, L.T. Brittain Center for Resort Tourism Horry County Transient Lodging Study Vacation rental properties (VRPs) includes homes and condominiums, weekly rentals. Performance estimated using a scientifically random observation sample of 10 percent of all VRP properties for which property status and pricing data in made available on the Internet. Average weekly number of units (n) = 217 units (864 bedroom equivalents). The units are 69 percent rental homes, accounting for 82 percent of the bedrooms in the VRP sample. Damonte, L.T. Brittain Center for Resort Tourism Weekly Performance Metrics The researchers track weekly performance and the 52week moving average rate of change in three similar metrics for each segment: • For HC-HCs – average percent occupancy, average daily rate and revenue per available room. • For VRPs – average percent occupancy by reservations, average advertised rental price and average revenue per available bedroom. Damonte, L.T. Brittain Center for Resort Tourism 52-Week Moving Average Change in Hotel, Condo-Hotel and Campsite Average Occupancy and 52-Week Moving Average Change in Average Percent of Vacation Rental Property Bedrooms Reserved in the Myrtle Beach Area May 4, 2008 - Dec. 12, 2015 18% 16% September 2010 14% 12% May 2015 10% 8% 6% 4% 2% 0% -2% Vacation Rental Property -4% Hotel, Condo-Hotel and Campsites -6% VRP Long-Term Average -8% -10% April 2009 Rental Week • HC-HC Long-Term Average April 2014 The moving 52-week rate of change in occupancy for nightly and weekly rentals is now below the long-term rate of change by 2 and 12 percent, respectively. Damonte, L.T. Brittain Center for Resort Tourism 52-Week Average Change in Average Daily Rates in Hotel, Condo-Hotel and Campsites and 52-Week Moving Average Change in Average Advertised Weekly Price per Bedroom in Vacation Rental Properties in the Myrtle Beach Area of South Carolina May 4, 2008 - Dec. 12, 2015 12% March 2013 10% August 2011 8% 6% 4% 2% 0% February 2014 -2% -4% Vacation Rental Property 52-Week Advertised Price Change -6% Hotel, Condo-Hotel and Campsite 52-Week ADR Change -8% December 2009 -10% -12% Rental Week VRP Long-Term Average HC-HC Long-Term Average Damonte, L.T. Brittain Center for Resort Tourism 52-Week Average Change in Vacation Rental Property Average Percent Occupied and Advertised Average Weekly Price per Bedroom in the Myrtle Beach Area of South Carolina May 4, 2008 - Dec. 12, 2015 17% 15% October 2010 13% 11% April 2015 9% 7% 5% 3% 1% -1% APO Rate of Change -3% ADR Rate of Change -5% -7% -9% -11% December 2009 ADR Long Term Rate of Change APO Long Term Rate of Change March 2014 Rental Week • Rate of change in APO and AWR diverging currently for VRPs. Damonte, L.T. Brittain Center for Resort Tourism 52-Week Moving Average Change in Hotel, Condo-Hotel and Campsite Average Occupancy and 52-Week Moving Average Change in Hotel, Condo-Hotel and Campsite Average Daily Rate in the Myrtle Beach Area May 4, 2008 - Dec. 12, 2015 10% 8% August 2011 6% June 2014 4% 2% 0% -2% April 2013 -4% -6% January 2009 January 2010 -8% -10% Average Daily Rate Average Percent Occupied ADR Long-Term Average APO Long-Term Average Rental Week • Rate of change in APO and AWR diverging currently for HC-HCs also. Damonte, L.T. Brittain Center for Resort Tourism 52-Week Moving Average Change in Hotel, Condo-Hotel and Campsite Average RevPAR and 52-Week Moving Average Change in Vacation Rental Property RevPAB in the Myrtle Beach Area of South Carolina May 4, 2008 - Dec. 12, 2015 16% July 2010 14% January 2010 12% April 2015 10% 8% 6% 4% 2% 0% -2% -4% April 2014 -6% -8% -10% -12% -14% -16% Rental Week August 2009 Vacation Rental Property Estimated RevPAB Change Hotel, Condo-Hotel and Campsite RevPAR Change VRP Long-Term Average HC-HC Long-Term Average -18% • The 52-week rate of change in RevPAR for HC-HCs is 5 points above its long-term rate of change. • The rate of change in RevPAB for VRPs is 14 points below its long-term rate of change. Damonte, L.T. Brittain Center for Resort Tourism Factors Impacting Area Average Occupancy Percentage 1. A change in the relative level of demand for the Myrtle Beach area versus competing destinations. 2. A change in the amount of inventory of any type of daily or weekly transient lodging in the destination, including vacation ownership. Damonte, L.T. Brittain Center for Resort Tourism Factors Impacting Lodging Demand • Change in demand for the area’s natural and built attractions relative to demand for competing destinations. These can be impacted by weather and other environmental factors within the destination and within competing destinations, i.e., hurricanes, oil spills, etc. • Change in the prices of all tourist services (attractions and food) at the destination versus that of competing destinations. • Change in the price (money and time) to travel to the area versus competing destinations, i.e., fuel prices, airfares, road/airport conditions. • Change in the level and quality of advertising and publicity about the destination and about competing destinations, both paid and unsolicited. • Change in personal income. • Change in the level of personal savings. • Change in consumer and business confidence. Damonte - Loftus L.T. E. Craig Wall Sr. College of BusinessDamonte, Administration Brittain Center for Resort Tourism Questions or other thoughts? Send them to … L. Taylor Damonte [email protected] www.coastal.edu/business/resort or follow Taylor Damonte on Twitter @TES_CCU Damonte - Loftus L.T. E. Craig Wall Sr. College of BusinessDamonte, Administration Brittain Center for Resort Tourism