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README.md
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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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# US WARN Layoffs Dataset
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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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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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## At a glance
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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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> **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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## Schema
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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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## Known limitations
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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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## Suggested uses
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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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## Citation
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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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## License
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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.
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