Synthetic W-2 Wage and Tax Statement Data
Synthetic training data — no real PII, fully coherent identities
Generate synthetic 2026 W-2 documents in the eleven-page official IRS packet — the current revision, with Box 14 split into 14a Other and 14b Treasury Tipped Occupation Codes. The regulatory change most 2026 extraction pipelines have not been retrained for.
47
Fields per document
11
Pages
Tax
Category
What this document is
The 2026 revision of the official eleven-page W-2 packet. Structurally it is the 2025 packet — Copy A, the employer and employee copies, the state and local copies, and the instruction pages, with all the data on one interior page. Semantically it carries the year's one substantive change: the old single Box 14 'Other' has become Box 14a 'Other' plus Box 14b for Treasury Tipped Occupation Codes.
Why generate synthetically
A box that splits into two boxes is the worst kind of form change for a production extractor, because nothing crashes. A model trained on the prior revision keeps finding a Box 14 label, keeps returning a value, and silently maps two semantically distinct fields onto one. The failure surfaces months later as a data-quality question nobody can trace. Detecting it requires the new revision with labelled ground truth, in volume, before the filing season that produces it — which by definition cannot come from collected documents.
What makes synthetic data useful
Each generated packet is one simulated employee's 2026 statement on the interior data page, with Box 3 Social Security wages capped at the 2026 wage base of $184,500 and Box 5 Medicare wages uncapped. Box 14a and both Box 14b code fields are present, labelled and annotated on every document — currently rendered empty, which is the realistic state for the overwhelming majority of employees and the specific case a prior-revision model is most likely to fill in anyway. Pairing a 2026 packet against a 2025 packet for the same synthetic employee gives a controlled before-and-after in which only the Box 14 structure and the wage cap differ.
Training challenges
The Box 14 split is a silent-failure test: two labelled regions where a prior-revision model expects one, with no error signal to tell it apart. On top of that the packet's own difficulties apply in full — the data page is an interior page, so front-page classification routes to the wrong page; ten pages carry no fields and draw spurious extractions from models never shown an empty page; and just over half the fields on the data page are legitimately blank. A model can score well on the wage boxes and still be structurally wrong about the document.
Generate synthetic W-2 Wage and Tax Statement data
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Generate NowWho uses this data
Tax-prep and payroll platforms revalidating extraction against the current revision before filing season, IDP vendors who must ship support for a form change ahead of the documents existing, and income-verification platforms that receive downloaded packets rather than cropped pages. Payment-integrity and fraud teams use the 2025/2026 pair to test whether their models notice a revision change at all.
Document complexity profile
47 fields across an eleven-page document, all on a single interior page — two more than the 2025 packet, from the Box 14 split into 14a and two 14b Treasury Tipped Occupation Code slots. Currency, text, checkbox, Social Security number and employer identification number types, with one label-to-value relation per field, 4 conditional bindings and 5 function calls, maximum expression depth 2. Ten of the eleven pages carry no fields.
Key stats from our synthetic corpus
Quantitative characteristics of the W-2 Wage and Tax Statement documents our generator produces.
| Metric | Value | Detail |
|---|---|---|
| 2026 Social Security wage base | $184,500 | Box 3 Social Security wages cap at $184,500 while Box 5 Medicare wages continue to $316,900. Any validator with a hardcoded prior-year cap rejects correct current-year documents — the single most common year-rollover bug in wage extraction. |
| Box 14 fields | 3 | Box 14a 'Other' plus two Box 14b Treasury Tipped Occupation Code slots replace the prior revision's single Box 14. All three are labelled and annotated, and all three render empty, which is where a prior-revision model is most likely to emit a value it invented. |
| Pages carrying fields | 1 of 11 | All fields sit on one interior page, not the first. Front-page document classification routes this packet to the wrong page every time unless it has been trained on the whole document. |
| Blank field rate | 53% | Just over half the fields on the data page render blank for a typical employee, the Box 14 block included. Every one is annotated, so hallucinated values are measurable rather than invisible. |
| Median Box 1 wages | $43,027 | Across 641 eligible synthetic identities the median Box 1 wage is $43,027, p25–p75 $25,764 to $72,000 — Box 1 here is federal taxable wages, gross pay minus pre-tax retirement deferrals. Held constant with the 2025 packet so the year-over-year comparison isolates the revision change. |
How this document co-occurs with others
Rates at which identities in our corpus that produce a W-2 Wage and Tax Statement also produce other documents.
| Correlation | Rate | Detail |
|---|---|---|
| Prior revision, same structure | 100% | The 2025 packet for the same employee: identical eleven-page structure, a single Box 14, and a lower wage cap. The controlled before-and-after for the Box 14 split. |
| Same revision, half-page copy | 100% | The 2026 half-page single copy carries the same Box 14a/14b structure without the ten surrounding pages — the way to test the revision change on its own. |
| Current withholding election | 100% | The same employees have a 2026 W-4 on file with the same employer. Election plus resulting Box 2 withholding is the pairing payroll and onboarding platforms reconcile. |
| Employee's personal return | 100% | The wages on the statement flow to the employee's Form 1040. The packet-plus-return upload is the bundle consumer tax platforms actually receive. |
Wage and rate figures above are corpus-derived: they were computed over the 641 employment-eligible identities inside a local synthetic corpus of 1,000 identities generated by SymageDocs' World Simulation Engine at seed 20260421. Field, page, type and relation counts, the Box 14 split and the empty state of the Box 14 fields come from the shipped 2026 W-2 packet definition in the SymageDocs form library. No real employee, employer, or payroll data was used at any stage.
Frequently asked questions
- What data format do synthetic 2026 W-2 packet documents include?
- Each generated identity produces a rendered eleven-page PDF plus a structured JSON annotation file with bounding boxes, field types, and ground-truth values for all 47 fields, together with one label-to-value relation per field. Box 14a and the two Box 14b Treasury Tipped Occupation Code fields are annotated separately. COCO, YOLO, FUNSD, and BIO/NER exports come from the same job.
- What changed between the 2025 and 2026 packet?
- The single Box 14 'Other' field became three annotated fields: Box 14a 'Other' and two Box 14b slots for Treasury Tipped Occupation Codes. The Social Security wage base also rose from $176,100 to $184,500. Everything else — the eleven pages, the interior data page, the field set — is unchanged, which is what makes the pair a clean controlled comparison.
- Are the Box 14b tipped occupation code fields populated?
- Not in the current definition — Box 14a and both Box 14b slots render empty on every generated document. That is the honest majority case for the field, and it is deliberately the harder one: an empty labelled region is exactly where a model carried over from the prior revision will write a value it should not.
- Should I train on the 2025 packet as well?
- Yes. Any pipeline running through 2026 receives both revisions in the same inbox — prior-year statements arrive all year for amended returns, income verification and back-tax work. A model that handles only the current revision fails on roughly half its real traffic.
- Can I use this data commercially?
- Yes. Every Social Security number, name, address, employer and wage figure is synthetic, contains no real personal data, and is licensed for commercial use including model training, benchmarking, and redistribution inside your own products.