Leaning Ladders Scarf is an original PlanetJune Accessories crochet pattern by June Gilbank.
This beginner-friendly scarf is made of only basic stitches, so it’s fast and fun to crochet. The eye-catching diagonal eyelet stripes look great in any yarn, and the simple background highlights the colours in a variegated or self-striping yarn beautifully. Choose your recipient’s favourite colour and you have a perfect gift for anyone in your life – women, men, or children!
Yarn: your choice, #3 (DK) or heavier recommended
Hook: an appropriate hook for your yarn (see the yarn’s ball band as a starting point for the hook size, but you may wish to go up a size or two until your fabric isn't too stiff and drapes nicely)
Sample scarf information: Sample scarf used DK weight (#3 light) yarn (235m/260yd Kismet Spice) and an I US/5.5mm hook
Details: Pattern includes full written instructions and charted stitch diagram. The PDF version, available for any size donation, is formatted for easy viewing and printing and includes bonus information (detailed below):
The PDF also includes the full written pattern for an any-size piece using this stitch pattern, so you can crochet anything from a skinny scarf up to a large rectangular shawl or blanket.
The PDF is neatly formatted with one section per page (standard written pattern; stitch diagram with key; any-size pattern) so you can print just the page(s) you need.
This Leaning Ladders Scarf pattern is Donationware - the pattern is available to view online for free, but if you like it please consider sending me a donation to show your appreciation:
Send me a donation and receive the easy-to-print PDF version of the pattern as a thank you!
Donations of any size are much appreciated, but please donate as much as you feel the pattern is worth. Just add the amount you wish to donate below, and, once you have checked out and paid, your pattern will be available to download from your PlanetJune account.
Thank you for your generosity - it is much appreciated!
See projects made from this pattern here: