October 27, 2021
Following a 2020 winter retail impacted by the pandemic, new data from the National Retail Federation suggests the 2021 holiday retail season will record the highest sales ever.
The trade group Oct. 27 contends that holiday sales during November and December will grow between 8.5% and 10.5%, respectively, from the same period in 2020. Monthly sales will range from $843.4 billion and $859 billion, respectively. The forecast, which excludes automobile dealers, gasoline and restaurants, compares with a previous high of 8.2% in 2020 to $777.3 billion and an average increase of 4.4% over the past five years.
“There is considerable momentum heading into the holiday shopping season,” Matthew Shay, CEO of the NRF, said in a statement.
The executive believes consumer sentiment is favorable heading into the last months of the year as income is rising and household balance sheets have “never been stronger.”
“Retailers are making significant investments in their supply chains and spending heavily to ensure they have products on their shelves to meet this time of exceptional consumer demand,” Shay said.
NRF expects that online and other non-store sales, which are included in the total, will increase between 11% and 15%, respectively, to a total of between $218.3 billion and $226.2 billion. That number is up from $196.7 billion in 2020.
Due to the pandemic in 2020, winter retail saw extraordinary growth in digital channels as consumers increasingly turned to online shopping to meet their holiday needs. While e-commerce will remain important, households are also expected to shift back to in-store shopping and a more traditional holiday shopping experience.
“The outlook for the holiday season looks very bright,” said NRF chief economist Jack Kleinhenz. “The unusual and beneficial position we find ourselves in is that households have increased spending vigorously throughout most of 2021 and remain with plenty of holiday purchasing power.”
With pandemic-related supply chain disruptions in the headlines, Kleinhenz said he believes that with the prospect of consumers looking to shop early, inventories may be pulled down sooner and shortages may develop in the later weeks of the shopping season.
“However, if retailers can keep merchandise on the shelves and merchandise arrives before Christmas, it could be a stellar holiday sales season,” he said.
While it appears new COVID-19 infections and hospitalizations are down, a variant surge could potentially sidetrack the current trajectory of spending, according to the NRF. Kleinhenz said strong household fundamentals provide optimism amid the uncertainty. Income is growing from wage compensation, and household wealth has reached another record high. These together support strong spending this holiday season.
NRF expects retailers will hire between 500,000 and 665,000 seasonal workers. That compares with 486,000 seasonal hires in 2020. Some of this hiring may have been pulled into October as many retailers encouraged households to shop early to avoid a lack of inventory and shipping delays. With the earlier start retailers have announced thousands of open positions in bricks-and-mortar stores and warehouse and distribution centers.
Weather traditionally factors into holiday sales, and the National Oceanic and Atmospheric Administration is predicting a high likelihood of a La Niña pattern of cooler and wetter weather in the north and warmer and drier weather in the south. This climate phenomenon has in the past correlated with stronger retail sales and could be a factor in 2021, according to the NRF.
The holiday forecast is based on economic modeling that considers a variety of indicators including employment, wages, consumer confidence, disposable income, consumer credit, previous retail sales and weather. The NRF defines the holiday season as Nov. 1 through Dec. 31.
The methodology used to calculate holiday retail employment in 2020 was changed to accommodate the sizeable impact of COVID-19 on overall industry employment. In 2021, the NRF returned to a traditional employment buildup method.