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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ pretty_name: US WARN Layoffs Dataset (Workopia)
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+ tags:
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+ - labor-economics
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+ - layoffs
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+ - WARN
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+ - employment
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+ - united-states
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - tabular-classification
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+ - time-series-forecasting
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+ configs:
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+ - config_name: default
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+ data_files: data/layoffs_us_warn.parquet
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+ ---
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+
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+ # US WARN Layoffs Dataset
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+
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+ A cleaned, event-level dataset of **United States layoff and plant-closure notices** filed under the
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+ [WARN Act](https://www.dol.gov/agencies/eta/layoffs/warn) (Worker Adjustment and Retraining Notification),
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+ plus a small set of layoff disclosures from SEC 8-K filings. Compiled and maintained by
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+ [Workopia](https://workopia.io).
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+
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+ WARN notices are **public records** that employers are legally required to file with state workforce
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+ agencies ahead of mass layoffs or plant closings. This dataset normalizes those filings across states
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+ into a single, analysis-ready table.
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+
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+ ## At a glance
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+
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+ | | |
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+ |---|---|
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+ | Events | **18,468** |
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+ | Total employees affected | **2,306,915** |
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+ | Notice-date range | **2004-01-12 → 2026-06-10** |
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+ | Geographic coverage | United States, **35 states** |
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+ | Primary source | State WARN portals (CA, TX, NJ, IL, WA, MD, …) |
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+ | Secondary source | SEC 8-K Item 2.05 disclosures (140 events) |
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+ | Granularity | One row per filed notice |
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+ | PII | None — company / facility level only |
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+
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+ > **Density note.** Coverage is sparse before ~2015 and dense from **2020 onward** (COVID-era spike,
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+ > then a 2025–2026 rise). Treat pre-2015 years as a thin historical tail, not a complete record.
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+ > The dataset reflects WARN's universe (large layoffs above state thresholds, plant closings) — it is
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+ > **not** a census of all U.S. job losses.
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+
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+ ## Schema
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+
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+ | Column | Type | Description |
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+ |---|---|---|
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+ | `event_id` | string | Stable unique id for the notice |
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+ | `company` | string | Company name as filed (may include facility detail) |
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+ | `company_normalized` | string | Cleaned company name |
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+ | `employees` | int | Workers affected (present for 94% of rows) |
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+ | `kind` | string | Layoff / Closure / Unknown |
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+ | `permanence` | string | Permanent / Temporary / Unknown |
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+ | `notice_date` | date | Date the notice was filed |
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+ | `effective_date` | date | Date layoffs take effect |
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+ | `country` | string | Always `United States` |
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+ | `state` | string | US state (2-letter) |
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+ | `county` | string | County |
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+ | `city` | string | City |
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+ | `address` | string | Facility address (public WARN record) |
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+ | `naics2` | string | 2-digit NAICS sector (present for ~8% only) |
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+ | `sic` | string | SIC code where available |
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+ | `industry` | string | Industry label (present for ~51%) |
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+ | `ticker` | string | Stock ticker where mappable (~0.75% only) |
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+ | `cik` | string | SEC CIK where available |
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+ | `source_url` | string | Source filing / portal URL |
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+ | `source_type` | string | e.g. `WARN_CA`, `WARN_TX`, `SEC_8K` |
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+ | `sec_item_codes` | string | SEC 8-K item code(s) for 8-K-sourced rows |
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+ | `notice_year` | int | Year of `notice_date` (convenience) |
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+
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+ ## Known limitations
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+
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+ - **U.S.-only.** Non-U.S. layoffs are not included in this release.
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+ - **Industry & ticker are sparse** (`naics2` ~8%, `industry` ~51%, `ticker` ~0.75%). Sector- and
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+ equity-level analysis requires additional enrichment.
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+ - **WARN is not exhaustive** — thresholds, exemptions, and state-by-state filing differences mean
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+ smaller layoffs and some states are underrepresented.
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+
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+ ## Suggested uses
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+
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+ - Tracking U.S. layoff trends over time (national and by state)
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+ - Labor-market nowcasting and event studies
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+ - Training/evaluation data for entity normalization and employment NLP
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+
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+ ## Citation
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+
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+ ```
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+ Workopia (2026). US WARN Layoffs Dataset. https://workopia.io
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+ ```
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+
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+ ## License
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+
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+ Released under **CC BY 4.0**. Underlying WARN notices are public records; this distribution is the
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+ cleaned/normalized derivative compiled by Workopia.