Yardy · Kokomo, IN

MULTI FAMILY SALE ONE-DAY ONLY

Yard sale in Kokomo, IN · Sat, Sep 12

Address: 1026 W Maple St, Kokomo, IN 46901

When: Sat, Sep 12

4 family yard sale - SATURDAY SEPT 12 Take the alley to the back of the house to find the sale. We’ll have everything that’s for sale set up in the backyard and in the drive way, things in the...

View full listing on Yardy

How to shop a yard sale in Kokomo

Yard and garage sales in Kokomo, IN 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 Kokomo, IN

All sales in Kokomo, IN →

Browse all yards in Kokomo

Yard listings in Kokomo, IN →

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.