Address: 22818 Archibald Blair Ln, Katy, TX 77449
When: Fri, Sep 11 – Sat, Sep 12
Categories: Furniture, Electronics, Clothing, Tools, Kitchen
Big garage sale. Clothes,shoes, kitchen items, wheelchair, walkers, shower chair, portable toilet. Ac window unit, vacuum cleaners, chairs,tools, stereo, dog crates, mower weedeater, compressor,...
How to shop a yard sale in Katy
Yard and garage sales in Katy, TX 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 Katy, TX
- HUGE GARAGE SALE · Yard · Sat, Sep 12
- Garage Sale - Tools, Flooring & Drywall Equipment · Yard · Sat, Sep 12
Browse all yards in Katy
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.