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DPMO - Sigma Value |
Defect rates as Defects Per Million Opportunities to a Sigma process value
This table includes the 1.5 long-term shift, is based on a one-sided tail of the normal distribution (not two sides), and has been rounded to a degree of accuracy appropriate for the vast majority of situations. Greater accuracy will only be appropriate where sampling and measurement accuracy permit. Alternative table, further details, and a working DPMO calculator are included in our free Six Sigma Calculator e-book.
| Defects per 100 |
Defects
per 10,000 |
Defects
per 1,000,000 |
Success rate |
Sigma Value |
| 93 | 9,330 | 933,000 | 7% | 0.0 |
| 92 | 9,190 | 919,000 | 8% | 0.1 |
| 90 | 9,030 | 903,000 | 10% | 0.2 |
| 88 | 8,850 | 885,000 | 12% | 0.3 |
| 86 | 8,640 | 864,000 | 14% | 0.4 |
| 84 | 8,410 | 841,000 | 16% | 0.5 |
| 82 | 8,160 | 816,000 | 18% | 0.6 |
| 79 | 7,880 | 788,000 | 21% | 0.7 |
| 76 | 7,580 | 758,000 | 24% | 0.8 |
| 73 | 7,260 | 726,000 | 27% | 0.9 |
| 69 | 6,910 | 691,000 | 31% | 1.0 |
| 66 | 6,550 | 655,000 | 34% | 1.1 |
| 62 | 6,180 | 618,000 | 38% | 1.2 |
| 58 | 5,790 | 579,000 | 42% | 1.3 |
| 54 | 5,400 | 540,000 | 46% | 1.4 |
| 50 | 5,000 | 500,000 | 50% | 1.5 |
| 46 | 4,600 | 460,000 | 54.0% | 1.6 |
| 42 | 4,210 | 421,000 | 57.9% | 1.7 |
| 38 | 3,820 | 382,000 | 61.8% | 1.8 |
| 34 | 3,450 | 345,000 | 65.5% | 1.9 |
| 31 | 3,090 | 309,000 | 69.1% | 2.0 |
| 27 | 2,740 | 274,000 | 72.6% | 2.1 |
| 24 | 2,420 | 242,000 | 75.8% | 2.2 |
| 21 | 2,120 | 212,000 | 78.8% | 2.3 |
| 18 | 1,840 | 184,000 | 81.6% | 2.4 |
| 16 | 1,590 | 159,000 | 84.1% | 2.5 |
| 14 | 1,360 | 136,000 | 86.4% | 2.6 |
| 12 | 1,150 | 115,000 | 88.5% | 2.7 |
| 10 | 968 | 96,800 | 90.32% | 2.8 |
| 8 | 808 | 80,800 | 91.92% | 2.9 |
| 7 | 668 | 66,800 | 93.32% | 3.0 |
| 6 | 548 | 54,800 | 94.52% | 3.1 |
| 5 | 446 | 44,600 | 95.54% | 3.2 |
| 4 | 359 | 35,900 | 96.41% | 3.3 |
| 3 | 287 | 28,700 | 97.13% | 3.4 |
| 2 | 228 | 22,800 | 97.72% | 3.5 |
| 2 | 179 | 17,900 | 98.21% | 3.6 |
| 1 | 139 | 13,900 | 98.61% | 3.7 |
| 1 | 107 | 10,700 | 98.93% | 3.8 |
| 1 | 82 | 8,200 | 99.18% | 3.9 |
| 1 | 62 | 6,210 | 99.379% | 4.0 |
| 47 | 4,660 | 99.534% | 4.1 | |
| 35 | 3,470 | 99.653% | 4.2 | |
| 26 | 2,560 | 99.744% | 4.3 | |
| 19 | 1,870 | 99.813% | 4.4 | |
| 14 | 1,350 | 99.865% | 4.5 | |
| 10 | 968 | 99.903% | 4.6 | |
| 7 | 687 | 99.931% | 4.7 | |
| 5 | 483 | 99.952% | 4.8 | |
| 3 | 337 | 99.966% | 4.9 | |
| 2 | 233 | 99.9767% | 5.0 | |
| 2 | 159 | 99.9841% | 5.1 | |
| 1 | 108 | 99.9892% | 5.2 | |
| 1 | 72 | 99.9928% | 5.3 | |
| 48 | 99.9952% | 5.4 | ||
| 32 | 99.9968% | 5.5 | ||
| 21 | 99.9979% | 5.6 | ||
| 13 | 99.9987% | 5.7 | ||
| 9 | 99.9991% | 5.8 | ||
| 5 | 99.9995% | 5.9 | ||
| 3.4 | 99.99966% | 6.0 |
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© 2001-2008 G Tennant Mulbury Six Sigma