Address: Hopkins, MN 55343 · Exact address revealed on sale day
When: Sat, Sep 12
Interlachen Park Neighborhood 44th Annual Festival of Garage Sales – Saturday, Sept 12th! Mark your calendars! Our Interlachen Park neighborhood in Hopkins is hosting our 44th annual large...
How to shop a yard sale in Hopkins
Yard and garage sales in Hopkins, MN run hottest Saturday morning between 7 a.m. and 10 a.m. Multi-family and neighborhood sales typically have better volume than single-family sales — Yardy flags both. Carry small bills, a reusable tote, and patience for haggling: $5 on a $20 tag is normal, $1 on a $2 paperback usually is not.
Pricing rule of thumb across the Southeast: kids' clothing $0.50-$2 per item, books $0.25-$1, mid-century furniture $20-$150, kitchenware $1-$5. If a host's prices feel high, come back at noon — most yard sellers would rather discount than haul leftovers back inside. For larger pickups (sofas, appliances) bring a truck and a friend; cash in hand often unlocks "just take it" pricing on bulky pieces.
More sales in Hopkins, MN
- Twin City Postcard Club Fall Paper & Postcard Show (7 photos) · Yard · Sat, Sep 12
- Online Seller downsizing inventory at Multi family Sale · Yard · Sat, Sep 12
Browse all yards in Hopkins
Yardy guides for sale shoppers
About Yardy
Yardy is a local one-time-sale search engine for the Southeast US. We aggregate estate sales, yard sales, garage sales, neighborhood pop-ups, and short-window auctions from 20+ sources — no permanent storefronts, no thrift-store clutter. Each listing here is cross-referenced against our duplicate-detection system so you see the cleanest version of a sale even when it's posted in three different places.
Buying secondhand keeps usable goods out of landfill and circulates cash to neighbors instead of national chains. The average Southeast estate sale diverts 500-2,000 lbs of household goods from disposal; a busy Saturday on Yardy moves an estimated 8-12 tons across our coverage area. Browse the 2026 State of Southeast Secondhand report for the full data set.