J&P Coats to DMC thread conversion chart

Find the closest DMC match for any J&P Coats embroidery floss number — including the vintage codes in older patterns. Also converts DMC to J&P Coats.

71 current colors and 197 vintage codes matched using perceptual color distance.

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Full J&P Coats to DMC conversion chart

268 color matches, ranked by match quality. Click any row for alternatives.

Code→CodeMatch
1001→B520074% Approx
1002→ECRU95% Best
2288→382389% Good
2290→72788% Good
2292→ECRU81% Fair
2293→382382% Fair
2302→72585% Good
2314→97283% Fair
2330→74082% Fair
2334→60692% Good
3000→32692% Good
3001→96277% Fair
3004→60180% Fair
3021→32690% Good
3044→15088% Good
3046→60692% Good
3056→60382% Fair
3063→60380% Fair
3087→96396% Best
3088→368778% Fair
3125→96387% Good
3151→368993% Best
3153→332691% Good
3176→96289% Good
3500→34980% Fair
4097→55389% Good
4101→383776% Fair
4104→2367% Approx
5360→386078% Fair
5379→386380% Fair
5387→54381% Fair
5472→377287% Good
6030→16478% Fair
6185→74766% Approx
6186→96466% Approx
6187→384968% Approx
6205→91179% Fair
6211→56286% Good
6225→70467% Approx
6226→95481% Fair
6227→91181% Fair
6228→91094% Best
6238→70466% Approx
6239→91382% Fair
6246→70375% Fair
6258→91187% Good
7010→384399% Best
7020→376184% Fair
7021→375378% Fair
7022→99583% Fair
7030→80788% Good
7051→93283% Fair
7100→51785% Good
7161→384392% Good
7162→82687% Good
8403→379970% Approx
8514→41467% Approx
0201→371691% Good
0204→383283% Fair
0210→33486% Good
0212→55479% Fair
3065→60190% Good
3067→77681% Fair
3150→2376% Fair
4300→55378% Fair
5470→377280% Fair
7008→384683% Fair
7023→82572% Approx
7045→79770% Approx
7080→32293% Best
8399→41588% Good
2099→74194% Best
2275→71284% Fair
2289→382389% Good
2294→385591% Good
2295→74496% Best
2296→74689% Good
2298→74175% Fair
2300→377088% Good
2306→74275% Fair
2308→385490% Good
2322→66690% Good
2323→334176% Fair
2324→35287% Good
2326→332885% Good
2327→74194% Best
2329→72080% Fair
2331→377079% Fair
2332→97187% Good
2335→33586% Good
2336→2087% Good
2337→40278% Fair
2338→35280% Fair
2339→90087% Good
2410→73976% Fair
2412→385681% Fair
2874→67791% Good
2875→385683% Fair
2876→377377% Fair
3003→81987% Good
3006→22586% Good
3008→35385% Good
3011→76076% Fair
3012→89292% Good
3013→383283% Fair
3066→71271% Approx
3068→22586% Good
3069→35389% Good
3071→383289% Good
3080→96784% Fair
3081→22489% Good
3082→22379% Fair
3083→335092% Good
3084→15282% Fair
3086→81892% Good
3089→335087% Good
3111→89291% Good
3126→370877% Fair
3127→81888% Good
3128→33588% Good
3146→377185% Good
3152→370677% Fair
3173→81979% Fair
3239→96786% Good
3240→35274% Approx
3241→22378% Fair
3242→332889% Good
3243→335092% Good
3280→74673% Approx
3281→77683% Fair
3282→76085% Good
3283→89290% Good
3284→33583% Fair
3334→71276% Fair
3335→377081% Fair
3336→35278% Fair
3337→371283% Fair
3340→372283% Fair
3401→30987% Good
3410→380494% Best
3868→75488% Good
3883→2190% Good
4085→81874% Approx
4086→371687% Good
4087→60393% Best
4089→380483% Fair
4092→55374% Approx
4107→3470% Approx
4220→386586% Good
4221→2372% Approx
4222→77875% Fair
4223→304280% Fair
4301→383669% Approx
4302→15386% Good
4303→2377% Fair
5000→377681% Fair
5307→382789% Good
5308→97678% Fair
5309→97682% Fair
5349→92092% Good
5350→385672% Approx
5356→382684% Fair
5369→71284% Fair
5371→97686% Good
5372→382383% Fair
5374→43587% Good
5375→385575% Fair
5376→386481% Fair
5381→30080% Fair
5382→30075% Fair
5388→303375% Fair
5393→0279% Fair
5395→386072% Approx
5471→78180% Fair
5476→86985% Good
5478→43380% Fair
5533→377082% Fair
5578→2190% Good
5579→35681% Fair
5830→386575% Fair
5831→ECRU90% Good
5832→0279% Fair
5889→83176% Fair
5898→40776% Fair
5933→71287% Good
5936→30180% Fair
5942→385690% Good
5943→377189% Good
6001→47277% Fair
6005→386584% Fair
6006→375684% Fair
6007→92691% Good
6008→376872% Approx
6010→302294% Best
6015→74671% Approx
6016→1061% Approx
6017→52388% Good
6018→336376% Fair
6020→1061% Approx
6021→64579% Fair
6031→16382% Fair
6209→1061% Approx
6210→50476% Fair
6212→56190% Good
6213→32086% Good
6250→74656% Approx
6253→77257% Approx
6256→301389% Good
6261→302294% Best
6266→36968% Approx
6267→90569% Approx
6268→305182% Fair
6269→336278% Fair
6270→93775% Fair
6315→303390% Good
6316→52467% Approx
6317→64682% Fair
6318→93775% Fair
6842→82276% Fair
6844→83268% Approx
6845→83165% Approx
6875→1066% Approx
6876→50387% Good
6878→50180% Fair
6879→1077% Fair
6880→93582% Fair
7001→74789% Good
7004→386581% Fair
7005→384183% Fair
7024→2990% Good
7031→375681% Fair
7050→76283% Fair
7052→93166% Approx
7053→386577% Fair
7110→383672% Approx
7143→384286% Good
7150→16170% Approx
7159→375684% Fair
7160→82059% Approx
7167→1066% Approx
7168→50391% Good
7169→384967% Approx
7180→375384% Fair
7181→381071% Approx
7182→93177% Fair
7876→307273% Approx
7975→B520097% Best
7976→15790% Good
7977→93285% Good
7978→93192% Good
7979→93076% Fair
7980→380887% Good
7981→93081% Fair
7982→82059% Approx
8231→54388% Good
8232→45379% Fair
8233→45270% Approx
8390→0194% Best
8397→0184% Fair
8398→2773% Approx
8500→16975% Fair
8501→0493% Best
8510→386582% Fair
8511→307293% Best
8512→45285% Good
8513→45285% Good
8900→307284% Fair
8999→31773% Approx

Full DMC to J&P Coats conversion chart

489 color matches, ranked by match quality. Click any row for alternatives.

Code→CodeMatch
B5200→100174% Approx
BLANC→100167% Approx
ECRU→100295% Best
01→839959% Approx
02→839973% Approx
03→851450% Approx
04→851454% Approx
05→538745% Approx
06→538733% Approx
07→537934% Approx
08→536034% Approx
09→536054% Approx
10→100262% Approx
11→228867% Approx
12→229054% Approx
13→603063% Approx
14→228856% Approx
15→603053% Approx
16→622554% Approx
17→229062% Approx
18→229058% Approx
19→231442% Approx
20→538777% Fair
21→547246% Approx
22→302171% Approx
23→315076% Fair
24→100173% Approx
25→410461% Approx
26→410441% Approx
27→100174% Approx
28→851441% Approx
29→410161% Approx
30→851435% Approx
31→708043% Approx
32→410153% Approx
33→409784% Fair
34→410153% Approx
35→410143% Approx
150→304488% Good
151→315188% Good
152→315349% Approx
153→021253% Approx
154→536019% Approx
155→409749% Approx
156→705147% Approx
157→839960% Approx
158→410155% Approx
159→839959% Approx
160→708050% Approx
161→708057% Approx
162→702074% Approx
163→621175% Fair
164→603078% Fair
165→229053% Approx
166→622539% Approx
167→537969% Approx
168→839982% Fair
169→851455% Approx
208→409776% Fair
209→430065% Approx
210→021265% Approx
211→410446% Approx
221→304456% Approx
223→308858% Approx
224→306752% Approx
225→306772% Approx
300→536043% Approx
301→547268% Approx
304→302189% Good
307→229078% Fair
309→300090% Good
310→840359% Approx
311→840345% Approx
312→704563% Approx
315→536068% Approx
316→308860% Approx
317→851431% Approx
318→851465% Approx
319→62281% Approx
320→621182% Fair
321→300076% Fair
322→708093% Best
326→300092% Good
327→410164% Approx
333→410175% Fair
334→021086% Good
335→300462% Approx
336→840342% Approx
340→705137% Approx
341→703043% Approx
347→302183% Fair
349→350080% Fair
350→233482% Fair
351→233467% Approx
352→315325% Approx
353→306765% Approx
355→302169% Approx
356→547265% Approx
367→621163% Approx
368→623962% Approx
369→603069% Approx
370→537938% Approx
371→537939% Approx
372→537915% Approx
400→547051% Approx
402→233054% Approx
407→537956% Approx
413→840349% Approx
414→851467% Approx
415→839988% Good
420→537967% Approx
422→537930% Approx
433→547042% Approx
434→547261% Approx
435→537973% Approx
436→537963% Approx
437→231426% Approx
444→230278% Fair
445→229066% Approx
451→851459% Approx
452→851437% Approx
453→538743% Approx
469→621120% Approx
470→621131% Approx
471→622545% Approx
472→622553% Approx
498→304480% Fair
500→840319% Approx
501→621123% Approx
502→621166% Approx
503→623925% Approx
505→622856% Approx
517→710085% Good
518→716166% Approx
519→700862% Approx
520→62116% Approx
522→621148% Approx
523→623925% Approx
524→603031% Approx
535→840323% Approx
543→538781% Fair
550→410146% Approx
552→410161% Approx
553→409789% Good
554→021279% Fair
561→622831% Approx
562→621186% Good
563→623959% Approx
564→622659% Approx
580→621113% Approx
581→621111% Approx
597→618762% Approx
598→618652% Approx
600→306581% Fair
601→306590% Good
602→306365% Approx
603→317685% Good
604→300176% Fair
605→020177% Fair
606→304692% Good
608→233452% Approx
610→536021% Approx
611→537933% Approx
612→537948% Approx
613→537922% Approx
632→547065% Approx
640→537930% Approx
642→537939% Approx
644→100238% Approx
645→621123% Approx
646→851432% Approx
647→851440% Approx
648→839932% Approx
666→350079% Fair
676→230254% Approx
677→229374% Approx
680→537963% Approx
699→622856% Approx
700→622880% Fair
701→622776% Fair
702→622781% Fair
703→624675% Fair
704→622567% Approx
712→100290% Good
718→308851% Approx
720→304667% Approx
721→233050% Approx
722→233064% Approx
725→230285% Good
726→229074% Approx
727→229088% Good
728→231480% Fair
729→537934% Approx
730→53790% Approx
732→53796% Approx
733→53798% Approx
734→622519% Approx
738→538732% Approx
739→538769% Approx
740→233082% Fair
741→233073% Approx
742→231478% Fair
743→230272% Approx
744→229075% Fair
745→228870% Approx
746→229277% Fair
747→702072% Approx
754→306757% Approx
758→306741% Approx
760→315356% Approx
761→312578% Fair
762→839965% Approx
772→603070% Approx
775→702073% Approx
777→304468% Approx
778→312554% Approx
779→536072% Approx
780→547263% Approx
782→537960% Approx
783→233044% Approx
791→410154% Approx
792→704565% Approx
793→708067% Approx
794→705168% Approx
796→704554% Approx
797→704570% Approx
798→708083% Fair
799→021081% Fair
800→703070% Approx
801→536048% Approx
803→704551% Approx
807→703088% Good
809→705182% Fair
813→703084% Fair
814→304439% Approx
815→304461% Approx
816→304485% Good
817→302162% Approx
818→308768% Approx
819→315067% Approx
820→410141% Approx
822→100284% Fair
823→840360% Approx
824→704565% Approx
825→702372% Approx
826→716287% Good
827→703067% Approx
828→702081% Fair
829→547220% Approx
830→547223% Approx
831→537932% Approx
832→537941% Approx
833→537920% Approx
834→230240% Approx
838→536046% Approx
839→536060% Approx
840→547263% Approx
841→537970% Approx
842→538731% Approx
844→840336% Approx
869→547243% Approx
890→84031% Approx
891→233466% Approx
892→233452% Approx
893→317663% Approx
894→315382% Fair
895→62280% Approx
898→536045% Approx
899→317679% Fair
900→304674% Approx
902→536043% Approx
904→622839% Approx
905→622755% Approx
906→624654% Approx
907→622565% Approx
909→622866% Approx
910→622894% Best
911→625887% Good
912→623974% Approx
913→623982% Fair
915→304444% Approx
917→306542% Approx
918→547050% Approx
919→302159% Approx
920→547261% Approx
921→304656% Approx
922→233041% Approx
924→840332% Approx
926→618736% Approx
927→839942% Approx
928→839960% Approx
930→704552% Approx
931→708063% Approx
932→705183% Fair
934→840322% Approx
935→840313% Approx
936→62110% Approx
937→621122% Approx
938→536038% Approx
939→840367% Approx
943→622845% Approx
945→538741% Approx
946→304660% Approx
947→233042% Approx
948→538771% Approx
950→306747% Approx
951→538768% Approx
954→622681% Fair
955→603060% Approx
956→305676% Fair
957→315381% Fair
958→618745% Approx
959→618649% Approx
961→317673% Approx
962→317689% Good
963→308796% Best
964→618666% Approx
966→603070% Approx
967→306763% Approx
970→233069% Approx
972→231483% Fair
973→229063% Approx
975→547253% Approx
976→537952% Approx
977→233072% Approx
986→622830% Approx
987→621157% Approx
988→621160% Approx
989→624662% Approx
991→622824% Approx
992→618744% Approx
993→623949% Approx
995→716285% Good
996→716166% Approx
3011→62118% Approx
3012→537920% Approx
3013→603027% Approx
3021→536035% Approx
3022→621122% Approx
3023→537910% Approx
3024→538741% Approx
3031→536039% Approx
3032→537935% Approx
3033→538769% Approx
3041→536057% Approx
3042→851443% Approx
3045→537971% Approx
3046→230230% Approx
3047→229368% Approx
3051→621110% Approx
3052→621148% Approx
3053→623929% Approx
3064→537961% Approx
3072→839944% Approx
3078→228884% Fair
3325→703066% Approx
3326→315391% Good
3328→020474% Approx
3340→233036% Approx
3341→233029% Approx
3345→621114% Approx
3346→621139% Approx
3347→621150% Approx
3348→603068% Approx
3350→304476% Fair
3354→315383% Fair
3362→62117% Approx
3363→621155% Approx
3364→624634% Approx
3371→840358% Approx
3607→308855% Approx
3608→021269% Approx
3609→021257% Approx
3685→304446% Approx
3687→308878% Fair
3688→317678% Fair
3689→315193% Best
3705→233460% Approx
3706→317656% Approx
3708→315389% Good
3712→020450% Approx
3713→308777% Fair
3716→020191% Good
3721→304471% Approx
3722→547060% Approx
3726→536062% Approx
3727→315354% Approx
3731→300470% Approx
3733→317678% Fair
3740→536068% Approx
3743→410446% Approx
3746→410154% Approx
3747→702163% Approx
3750→840351% Approx
3752→839975% Fair
3753→702178% Fair
3755→703081% Fair
3756→100168% Approx
3760→716271% Approx
3761→702084% Fair
3765→710057% Approx
3766→700861% Approx
3768→708013% Approx
3770→229275% Fair
3771→306736% Approx
3772→547287% Good
3774→538762% Approx
3776→537952% Approx
3777→302171% Approx
3778→547238% Approx
3779→306765% Approx
3781→536038% Approx
3782→537934% Approx
3787→536030% Approx
3790→536040% Approx
3799→840370% Approx
3801→233480% Fair
3802→536058% Approx
3803→304454% Approx
3804→306578% Fair
3805→308863% Approx
3806→317679% Fair
3807→702367% Approx
3808→704515% Approx
3809→710024% Approx
3810→618762% Approx
3811→702060% Approx
3812→618760% Approx
3813→603022% Approx
3814→622853% Approx
3815→621161% Approx
3816→621170% Approx
3817→623935% Approx
3818→622830% Approx
3819→622551% Approx
3820→231457% Approx
3821→230271% Approx
3822→230259% Approx
3823→228889% Good
3824→306758% Approx
3825→233049% Approx
3826→547265% Approx
3827→233043% Approx
3828→537968% Approx
3829→537967% Approx
3830→302165% Approx
3831→300091% Good
3832→020483% Fair
3833→317664% Approx
3834→410139% Approx
3835→536043% Approx
3836→021256% Approx
3837→410176% Fair
3838→708068% Approx
3839→708064% Approx
3840→703072% Approx
3841→702168% Approx
3842→704561% Approx
3843→701099% Best
3844→716165% Approx
3845→700858% Approx
3846→700883% Fair
3847→62287% Approx
3848→618748% Approx
3849→618768% Approx
3850→622864% Approx
3851→623944% Approx
3852→537928% Approx
3853→233050% Approx
3854→233059% Approx
3855→230257% Approx
3856→233028% Approx
3857→536047% Approx
3858→547067% Approx
3859→537953% Approx
3860→536078% Fair
3861→547044% Approx
3862→547264% Approx
3863→537980% Fair
3864→537951% Approx
3865→100155% Approx
3866→100278% Fair
504→603038% Approx
731→53795% Approx
776→306781% Fair
781→537960% Approx
806→710043% Approx
971→233082% Fair
3773→537933% Approx

Current J&P Coats colors are sampled from photographs of today’s skeins; vintage codes use community reference values. Older skeins in your stash may have been dyed a little differently.

Convert between J&P Coats and DMC thread codes. Each match includes a quality percentage based on perceptual color distance — so you can see how close the substitution actually is.

Why J&P Coats patterns need converting

J&P Coats floss is still made by Coats & Clark, but in a much smaller range than it once was — about 71 colors today, all on the same numbering as before. Many older kits and leaflets call for J&P Coats numbers that are no longer sold. This chart covers both: the 71 current colors and 197 vintage codes from older patterns, each matched to the closest DMC. Vintage codes convert from J&P Coats to DMC only; the DMC to J&P Coats table offers current colors.

If you still have J&P Coats skeins from an older kit, compare a skein against the DMC match before swapping mid-project. Dyes change over the decades, and a vintage skein can differ from the color a current reference shows.

Have a pattern file? Open your PCStitch .pat, Pattern Maker .xsd, or OXS file and remap the whole palette to DMC in one click.

Understanding match quality

  • 93–100% — Virtually identical. Hard to tell apart even side-by-side.
  • 85–92% — Very close. Minor differences visible only in direct bright light.
  • 75–84% — Good match. Noticeable when compared directly, but works well in most projects.
  • Below 75% — Approximate. Check the alternatives — there may be a better option.

FAQ

Is J&P Coats embroidery floss discontinued?
Not entirely. Coats & Clark still sells J&P Coats floss in about 71 colors, using the same numbers as before. Most of the codes in older patterns are no longer made, which is why converting them to DMC is the usual fix.
Can I use DMC instead of J&P Coats?
Yes. Both are six-strand cotton floss with similar coverage, so the closest DMC match works in the same strand count. The match quality shows how close each color is.
How is the match percentage calculated?
We use CIEDE2000, the industry standard for perceptual color difference. 93%+ is virtually indistinguishable; below 75% means a visible difference.

See how your photo converts

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