Rock

Wolf Parade Returns From Hiatus, Has Plans for 2016

Wolf Parade
Andy Sheppard/Redferns

Spencer Krug of Canadian indie-rock band Wolf Parade performs on stage during day one of End Of The Road Festival 2010 at Larmer Tree Gardens on Sept. 10, 2010 in Tollard Royal, North Dorset. 

Update: Wolf Parade has announced its first live shows since 2011. The band will play New York's Bowery Ballroom May 17-21, Lee's Palace in Toronto May 24-28, and London's Scala June 14-15. A statement from the band confirms they are also working on new music: "We'll be playing our favorites from the old albums, of course, as well as a taste or two of some new tunes we've been writing."


LCD Soundsystem won’t be the only beloved 2000s alternative band jumping back into the game in the new year. Wolf Parade announced it was going on indefinite hiatus in 2010, but today (Jan. 14) the critically-acclaimed Canadian indie rock supergroup updated its website to say “2016,” likely signaling a reunion.

So far, no other details have been announced, though the band has also launched new Twitter and Instagram accounts. Still, they’ve provided fans reason to speculate about live dates and new music this year.

Wolf Parade features dual frontmen -- Dan Boeckner and Spencer Krug -- both known for their contributions to many other projects, but likely best remembered for leading Wolf Parade. Boeckner has played in bands including Handsome Furs and Divine Fits; Krug has been with Sunset Rubdown, Swan Lake, and others. At the time of its hiatus, Wolf Parade was rounded out by bassist Dante DeCaro and drummer Arlen Thompson. 

Coachella 2016 Lineup Announced

Their 2005 debut album Apologies to the Queen Mary (produced by Modest Mouse’s Isaac Brock) was one of the most beloved indie rock records to come out of an era when the genre began to receive unprecedented exposure. They followed with two more LPs, At Mount Zoomer in 2008 and Expo 86 in 2010. Sup Pop Records released all of their albums. 

We leave you with a few of their best tracks, one from each record: