AQL table (ISO 2859-1)
Sample size and accept / reject numbers for every lot size, single sampling, normal inspection. Ready to print.
Download the PDFEverything you need to understand AQL sampling: inspection levels, standards and how to read the tables.
For a lot of 5,000 pieces at inspection level II, the inspector checks 200 pieces under AQL (ISO 2859-1 / ANSI Z1.4). The lot is rejected at 1 critical defect, 11 major defects (AQL 2.5) or 15 minor defects (AQL 4.0).
AQL calculator: enter your lot size, inspection level and AQL values to get the sample size and the accept and reject numbers.
Open the calculatorAQL stands for “Acceptable Quality Level”. It is a random sampling method defined by ISO 2859-1 (formerly MIL-STD-105E) and by its American equivalent, ANSI/ASQ Z1.4.
The AQL standard enables a good overview of the quality level without inspecting 100% of the production . Even though it involves a complex statistics'sampling method, it basically provides an optimized level of confidence versus a defined number of checked pieces. AQL tables also allow you to determine the maximum number of unsatisfactory pieces for three different types of defects, which are sorted by the severity of the consequences they have. Commonly, these defects can be:
It starts with two already filled in tables, A and B. Table A determines a letter based on two factors:
Let’s say we have a production (*Lot or Batch Size) of 5,000 pieces. You can see here that on the standard level II, the matching letter is L.
Once you know the letter, you can use Table B. You can see there, in the left column that for the letter L the corresponding sampling size is 200 pieces.
Ac – Acceptance number Re – Rejection number
Then we look at the figures in this row. They correspond to the different percentages for Critical, Major, and Minor Defects. In this example, let’s say the client is buying high-value products packaging. He sets the limit at 0 Critical Defects, 1.5% of Major Defects, and 4% of Minor Defects.
Based on that, one can determine that for a sample size of 200 pieces with an AQL of 1.5:
In other words, to comply with AQL 1.5, no more than 7 units from that sample size may fail inspection.
The inspection level sets the sample size for a given lot size. ISO 2859-1 and ANSI/ASQ Z1.4 define seven:
For a lot of 5,000 pieces:
| Level | S-1 | S-2 | S-3 | S-4 | I | II | III |
|---|---|---|---|---|---|---|---|
| Code letter | C | D | F | G | J | L | M |
| Sample size | 5 | 8 | 20 | 32 | 80 | 200 | 315 |
Do not confuse these levels with normal, tightened or reduced inspection: those are the standard’s switching rules, which tighten or relax the acceptance criteria over a series of lots depending on previous results.
The AQL tables were first published by the US military as MIL-STD-105, whose last version, MIL-STD-105E, was cancelled in 1995. They live on under two names:
For single sampling under normal inspection, which covers almost every pre-shipment inspection, the code letters, sample sizes and accept and reject numbers are the same. Whether your customer or purchase order says “ANSI Z1.4” or “ISO 2859-1”, the inspector reads the same table.
From the above example, you may have noticed that 1.5% of 200 is not 7. This is where the statistics come into play. Because we are only checking a small part of the production, it is still possible that in this particular inspection batch we find 6 defects while the actual proportion of defects in the total production (total lot size) does not exceed 1.5%.
For suppliers, there is a potential risk of having their production rejected despite meeting the level of quality requested. Statistically, however, the probability of finding 8 or more defective pieces out of 200 inspected, is rather low, if the total percentage of defective pieces is below 1.5%.
On the other hand, there is also a risk that an AQL based inspection will report the sample as “passed”. But actually, the proportion of defects in the inspected batch really is proportionally smaller than what it is in the entire production. This is what we call “the buyer’s risk”. It should not be underestimated.
The AQL standard favors suppliers as it takes into account their risk more extensively than the buyer’s risk. Therefore, when an AQL result is failed, clients have all the legitimacy to ask their suppliers to rework the production and pay for reinspection.
Buyers should make full use of the tools they have at their disposal, to enhance the inspections' accuracy. First of all, the levels (I, II and III) should vary according to the trust of the buyer in his manufacturer.
The larger the sample size is, the lower the margin of error. The inspection result should reflect more accurately the overall quality of the production, the upper we climb on the level ladder. ( Level III being the more accurate )
Therefore, if, after various orders, you find that your supplier’s quality has consistently been good, you may consider lowering the sampling size to Level I. On the contrary, if the last report showed that the production failed to meet the requirements, it makes sense to increase the check to Level III.
As for the severity, for regular consumer products, the standard tolerates 0 Critical Defects, 2.5% of Major Defects, and 4% of Minor Defects. The buyer may choose a different level depending on the industry, product’s value, and the type of end users. It is essential to communicate about these AQL levels with the factory prior to placing an order, as well as to refer to them in the Purchase Order or contract.
Two three-minute videos (in French): how AQL sampling works, then what to do when a lot fails inspection. More on our YouTube channel.


AQL sampling is mostly used in pre-shipment inspection. To see how sampling fits into a complete approach, read our guide to quality control in China.
Sample size and accept / reject numbers for every lot size, single sampling, normal inspection. Ready to print.
Download the PDFAQL stands for Acceptable Quality Level: the percentage of defective pieces a buyer accepts on average for a given type of defect. ISO 2859-1 and ANSI/ASQ Z1.4 turn that percentage into a sample size and into accept and reject numbers, based on the lot size and the inspection level.
An AQL of 2.5 tolerates on average 2.5 defective pieces per 100 for the defect type concerned, usually major defects. It is not a 2.5% rule applied to the sample: with 200 pieces checked, the lot passes with up to 10 major defects and fails at 11. Our AQL calculator gives these limits for any lot size.
No. It means no critical defect is tolerated in the sample: the lot is rejected on the first one found. But a sample without critical defects does not prove the whole lot is free of them: that is the buyer’s risk. For a safety risk, add targeted tests or laboratory testing.