---
pretty_name: US Warehouse, Trucking & Logistics Layoffs — distribution-center closings from the WARN Act filings, rebuilt daily
license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-classification
  - time-series-forecasting
tags:
  - warehouse-layoffs
  - trucking-layoffs
  - logistics-layoffs
  - distribution-center-closings
  - logistics
  - trucking
  - warehousing
  - supply-chain
  - freight
  - transportation
  - layoffs
  - warn-act
  - employment
  - labor-market
  - united-states
  - job-cuts
  - public-records
  - government-data
  - alternative-data
  - daily-updated
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/logistics_layoff_notices.csv
---

# US warehouse, trucking and logistics layoffs — the actual WARN Act filings, rebuilt every day

**Last rebuilt: 2026-09-19.** 1,882 layoff and closure notices filed by
warehouses, fulfillment and distribution centers, trucking and LTL carriers, freight forwarders and 3PLs, parcel and courier networks, school-bus and transit contractors, ports and rail, and parking operators with US state labor departments — **226,255 workers**,
792 employers, 45 states, 1990–2026.
623 of the notices (33.1%) were recorded by the state as a **closure**
rather than a layoff. Free, CC BY 4.0, no login, no delay.

A distribution-center closing or a carrier shutting a terminal is reported as a local story, if at all; the filings behind those stories — which site, which town, how many workers, notice date, effective date, closure or layoff — sit on 48 separate state portals and are never assembled as one logistics series. This file is that series, with the closure/layoff split the states themselves recorded. An automated pipeline re-scrapes 48 state portals every day and rebuilds this
file from the **legal filings** employers must make before a mass layoff: employer, state,
site, workers affected, notice date, effective date, and the notice type in the state's own words.

## Read this before you quote a number

**This is a FLOOR, not a census.** No US state WARN portal publishes an industry
field — not one. Sector here is assigned from the **employer name** by an
auditable keyword rule table, and **47.4% of all
60,970 notices in the archive carry a name that reveals no
sector at all** (`Rugged Liner`, `KPR US`, `Point Designs`). A warehouse, trucking and logistics
employer trading under an opaque name is therefore missing from this file. Every row
keeps `sector_rule` — the exact pattern that fired — so any inclusion can be
checked or disputed row by row, and the full unfiltered archive is one click
away: [all 60,970 notices](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily).

WARN also only covers layoffs above a size threshold (broadly 50+ at a site,
lower in some states), so smaller warehouse, trucking and logistics layoffs never generate a filing at all.

**What counts as logistics here:** the employer name reads as a logistics, trucking, freight, warehouse, distribution-center, fulfillment, supply-chain, courier, transit, bus, rail, port or parking operator, or is one of ~80 named carriers and networks (Amazon, FedEx, UPS, XPO, DHL, GXO, Ryder, First Student, MV Transportation, Transdev, LAZ Parking…). *Amazon* is here in full — its WARN filings are almost all fulfillment and delivery sites — and so are school-bus and transit contractors, which are the largest single group after warehousing. Airlines are deliberately NOT here (they sit with aerospace and defence in the [sector dataset](https://huggingface.co/datasets/APProjects/us-layoffs-by-industry-sector-warn-act)), and a manufacturer's own *distribution* arm lands here only if the word is in its name. Every row keeps the `sector_rule` that fired, so any inclusion can be disputed row by row.

**"Closure" is the state's word, not ours.** `notice_type` is copied verbatim from the
filing; the closure count above is every row whose type contains *clos* (Closure, Closure
Permanent, Plant Closing…). 403
rows have no type because that state's portal does not publish one.

## Files

| file | rows | what it is |
|---|---|---|
| `data/logistics_layoff_notices.csv` | 1,882 | every warehouse, trucking and logistics WARN notice, one row each |
| `data/logistics_layoffs_by_employer.csv` | 792 | per-employer history with closure count, biggest first |
| `data/logistics_layoffs_by_year.csv` | 37 | notices, closures, workers and employers per year |
| `data/logistics_layoffs_by_state.csv` | 45 | notices and workers per state |

```python
import pandas as pd
df = pd.read_csv("https://huggingface.co/datasets/APProjects/us-warehouse-trucking-logistics-layoffs-warn-act-notices-daily/resolve/main/data/logistics_layoff_notices.csv")
df.groupby(df.notice_date.str[:4]).employees_affected.sum().tail(10)
```

## Warehouse, trucking and logistics layoffs by year

| year | notices | of which closures | workers affected | employers |
|---|---|---|---|---|
| 2026 | 193 | 75 | 23,761 | 120 |
| 2025 | 256 | 64 | 26,257 | 150 |
| 2024 | 187 | 70 | 20,459 | 82 |
| 2023 | 162 | 65 | 20,354 | 72 |
| 2022 | 99 | 32 | 9,984 | 45 |
| 2021 | 91 | 28 | 11,671 | 54 |
| 2020 | 215 | 42 | 30,169 | 132 |
| 2019 | 127 | 54 | 18,743 | 64 |
| 2018 | 66 | 21 | 8,102 | 43 |
| 2017 | 55 | 22 | 6,407 | 33 |
| 2016 | 58 | 30 | 8,282 | 41 |
| 2015 | 49 | 17 | 4,893 | 35 |
| 2014 | 42 | 9 | 4,522 | 34 |
| 2013 | 26 | 6 | 4,205 | 19 |
| 2012 | 20 | 8 | 2,118 | 16 |

## The employers with the most warehouse, trucking and logistics layoff workers on file

| employer | notices | closures | workers | states | first | last |
|---|---|---|---|---|---|---|
| Amazon | 80 | 11 | 15,030 | CA, FL, IN, KS, MD, NJ, NV, NY, OH, PA, SC, VA, WA | 2009-03-25 | 2026-08-31 |
| First Student | 84 | 38 | 9,451 | AK, CA, CO, CT, IA, ID, IL, KS, MI, MO, NE, NJ, NY, OH, OR, PA, RI, TX, WA | 2004-04-26 | 2026-06-17 |
| MV Transportation | 63 | 10 | 8,468 | CA, CO, FL, IL, IN, KY, MD, MI, NC, NV, NY, OH, TX, VA, WA | 2011-10-03 | 2026-07-30 |
| FedEX | 45 | 13 | 6,940 | CA, CT, FL, GA, HI, IN, MD, MO, MS, NC, NJ, NY, OH, OR, PA, SC, TN, TX, VT | 2002-01-03 | 2025-12-29 |
| XPO Logistics | 28 | 6 | 6,929 | CA, CO, IA, IL, KS, MD, MO, ND, NJ, PA, TN, TX, WA | 2016-01-22 | 2021-07-01 |
| First Transit | 54 | 24 | 6,683 | CA, CT, FL, IL, IN, MD, MN, NC, NJ, NV, NY, OH, OK, OR, PA, TN, TX, UT, VA, WA, WI | 2008-12-31 | 2026-04-28 |
| DHL Supply Chain | 45 | 11 | 6,325 | CA, FL, GA, IL, IN, MA, MI, NC, NJ, OH, PA, SC, TX, WI | 2017-02-02 | 2026-07-07 |
| LAZ Parking California | 6 | 0 | 4,107 | CA | 2020-03-30 | 2026-08-06 |
| Transdev Services | 22 | 7 | 4,093 | AZ, CA, FL, MD, NC, ND, NJ, WA | 2017-01-01 | 2026-06-26 |
| UPS | 22 | 7 | 3,892 | CA, CO, CT, FL, LA, MD, NC, OK, OR, RI, UT, VA, WI | 2016-11-16 | 2025-07-10 |
| GXO | 35 | 17 | 3,397 | CA, GA, IL, IN, MD, MS, NY, OH, PA, TX, WI | 2022-01-31 | 2026-07-14 |
| Ryder | 34 | 11 | 3,063 | AZ, CA, IL, IN, MD, MI, NC, NJ, NY, OH, PA, TN, WI | 1997-06-13 | 2026-06-08 |
| CEVA Logistics | 27 | 9 | 3,003 | CA, FL, GA, IN, MI, MO, NY, OH, PA, SC, TN, TX, WA | 2010-03-17 | 2024-02-02 |
| New England Motor Freight | 17 | 9 | 2,919 | CT, IL, MD, NJ, NY, OH, PA | 2019-02-01 | 2019-03-04 |
| Penske Logistics | 25 | 8 | 2,660 | CA, IL, IN, KS, MI, MO, NJ, NY, PA, TX, WA | 2000-04-25 | 2025-09-09 |

## States with the most warehouse, trucking and logistics layoff workers on file

| state | notices | workers |
|---|---|---|
| CA | 495 | 46,675 |
| IL | 161 | 20,087 |
| NY | 162 | 16,087 |
| PA | 112 | 15,560 |
| NJ | 63 | 11,961 |
| WA | 37 | 10,990 |
| TX | 86 | 10,733 |
| MD | 58 | 9,777 |
| MI | 75 | 7,913 |
| OH | 62 | 6,740 |

## Most recent warehouse, trucking and logistics filings in this build

| date | employer | state | location | notice type | workers |
|---|---|---|---|---|---|
| 2026-10-31 | CJ Logistics America | PA | Newville, Cumberland | Closure | 56 |
| 2026-10-16 | CJ Logistics America | PA | Breinigsville, Lehigh | Closure | 57 |
| 2026-09-16 | Transform Warehouse Operations | PA | Fairless Hills, Bucks | Closing | 147 |
| 2026-09-11 | 4XH Logistics | TX | San Antonio, Bexar | — | 230 |
| 2026-09-08 | SP+ | CO | Adams | Loss of Contract | 73 |
| 2026-08-31 | Amazon | WA | Seattle, Bellevue, Sumner | Layoff | 121 |
| 2026-08-31 | GEODIS Logistics | PA | Carlisle, Cumberland | Closure | 185 |
| 2026-08-31 | Amazon (SJC13) | CA | Santa Clara County | Layoff Permanent | 70 |
| 2026-08-31 | Amazon - SF019 | CA | San Francisco County | Layoff Permanent | 78 |
| 2026-08-11 | Dylan Logistics LLC (Lewisville) | TX | Lewisville, Denton | — | 97 |
| 2026-08-11 | Dylan Logistics LLC (Fort Worth) | TX | Fort Worth, Denton | — | 70 |
| 2026-08-09 | WILX Logistics | PA | Mount Joy, Lancaster | Closure | 70 |

Names are resolved for spelling variants, not corporate parents: a subsidiary
filing under its own name stays under its own name.

## Where this comes from

- Source: official state WARN listings, scraped daily and normalized to one
  schema. Full method, per-state coverage and freshness: [https://approjects-warn-act-notices.static.hf.space](https://approjects-warn-act-notices.static.hf.space).
- Public commit log of every daily rebuild: [https://github.com/APVentureEngine/warn-act-notices](https://github.com/APVentureEngine/warn-act-notices/commits/main).
- Whole archive, all sectors: [https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily).
- All 20 sectors, not just this one: [layoffs by industry sector](https://huggingface.co/datasets/APProjects/us-layoffs-by-industry-sector-warn-act).
- Verify anything that matters at the state source before you publish it.

<!-- c406: NO offer block here on purpose. hf_cards_sync.py owns the canonical
     offer + contact block and appends it to every warn-feed card after upload. -->

## If this saved you a scrape

- **Like this dataset** (the heart, top right) — likes are how the next person
  searching for warehouse, trucking and logistics layoffs finds a file that was rebuilt today instead of one
  uploaded once years ago.
- **[Watch the source repo's releases](https://github.com/APVentureEngine/warn-act-notices/subscription)** — one
  notification each day the snapshot is republished.
- Corrections and questions: [open an issue](https://github.com/APVentureEngine/warn-act-notices/issues/new/choose).

Published by APProjects, an automated publisher of US public records. Not
affiliated with any state agency.

<!-- warn-feed:offer:start -->
## A layoff record you can audit, not just download

This dataset is one cut of a single daily rebuild: **61,345 US WARN Act
layoff notices from 48 state agencies, 1988 to today**, one schema, no
login, no delay, CC BY 4.0. Snapshot as of **2026-09-19**; the files above are
rebuilt every day, so the live count is the truth.

Several projects publish a current WARN scrape and two of them carry more rows
than we do. None of them publish what the records **used to say**:

- **638 observed changes to already-published notices, logged daily since 2026-08-31.**
  `data/revisions.csv` records every field that differed between two consecutive
  daily builds — employee counts, effective dates, notice types, company names —
  with the old value, the new value and the date we saw it. We publish the
  observation and not the cause: a change is equally explained by the agency
  amending the notice or by our own parser improving, and we do not guess which
  (see `data/revisions.README.txt`). A scrape that starts tomorrow cannot backfill
  any of it; it only exists if someone was watching.
- **6,799 notices whose state agency page no longer lists them.** Agencies
  take notices down. We keep them, flagged as archive-only, so a count you ran
  last year still reconciles.
- **Point-in-time employer identity.** The ticker crosswalk resolves a filer to
  the company as it existed at the time of the notice — Kmart, Sears Holdings,
  Symantec — not to whatever is on today's ticker file.

If you have to defend a number to an editor, a referee or a compliance reviewer,
that provenance layer is the part you cannot rebuild yourself.
[How to cite this dataset →](https://github.com/APVentureEngine/warn-act-notices/blob/main/CITATION.cff)

**Look something up right now — free, no signup, nothing to install.**
[Check any employer or state against the last 180 days
→](https://approjects-warn-act-notices.static.hf.space/watch-now.html) It runs in your browser against these same files.

**Building something with it?** The same files are a free HTTP API — JSON and
CSV, no key, no signup, `access-control-allow-origin: *` so `fetch()` works from
a browser: [endpoints, schema and curl examples →](https://approjects-warn-act-notices.static.hf.space/api.html)

**Prefer a spreadsheet?** One formula puts the last 90 days, the last 12 months
or any single state into Google Sheets as a live range that refreshes itself —
no signup, no add-on: [the formulas, one per state →](https://approjects-warn-act-notices.static.hf.space/sheets.html)
`=IMPORTDATA("https://cdn.jsdelivr.net/gh/APVentureEngine/warn-act-notices@main/data/sheets/us-last-90-days.csv")`

**Backtesting, or citing a figure you published last month?** Today's file has
look-ahead and survivorship bias baked in: notices get amended after the fact and
some rows are later deleted. The same table as it stood on any past day since
**2026-08-30** — one immutable vintage per day, 20 so far, plus a first-appearance
index giving the first and last day every notice id was in the file — is the
[point-in-time snapshot archive](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-point-in-time-snapshots). Nobody can backfill it.

**Need one industry only?** The same filings, cut by an auditable employer-name
rule (each row keeps the rule that fired): [tech companies](https://huggingface.co/datasets/APProjects/us-tech-company-layoffs-warn-act-notices-daily)
· [hospitals & healthcare](https://huggingface.co/datasets/APProjects/us-hospital-healthcare-layoffs-warn-act-notices-daily)
· [retail store closings](https://huggingface.co/datasets/APProjects/us-retail-store-closings-layoffs-warn-act-notices-daily)
· [restaurants & hotels](https://huggingface.co/datasets/APProjects/us-restaurant-hotel-closings-layoffs-warn-act-notices-daily)
· [factory & plant closings](https://huggingface.co/datasets/APProjects/us-factory-plant-closings-manufacturing-layoffs-warn-act-notices-daily)
· [banks, insurance & finance](https://huggingface.co/datasets/APProjects/us-bank-insurance-finance-layoffs-warn-act-notices-daily)
· [warehouses, trucking & logistics](https://huggingface.co/datasets/APProjects/us-warehouse-trucking-logistics-layoffs-warn-act-notices-daily)
· [all 20 sectors](https://huggingface.co/datasets/APProjects/us-layoffs-by-industry-sector-warn-act).

**Or have it watch a list for you.** Coming back to look is the part a CSV cannot
do. **WARN Watch — $49 for a year**, one payment, nothing auto-renews, 14-day
refund, no login: up to 500 employer names plus whole states, matched on every
daily refresh, delivered to a private alert page + calendar (.ics) + RSS +
an optional Slack / Discord / Teams webhook. Every alert carries that employer's
whole filing history from the archive, which a keyword rule on an RSS feed cannot
see. There is no built-in email — we do not claim one.

- [See a real alert page before paying](https://approjects-warn-act-notices.static.hf.space/watch-sample.html) · [what you get](https://approjects-warn-act-notices.static.hf.space/watch.html)
- [Try it free for 30 days, no card](https://approj.gumroad.com/l/warn-free-watch) · [Buy — $49/year](https://approj.gumroad.com/l/warn-watch)

**Not deciding today?** [Join the update list →](https://approj.gumroad.com/subscribe) — one email when a
new dataset or tier is published; nothing promotional. A state added or a column
renamed ships in the [daily release](https://github.com/APVentureEngine/warn-act-notices/releases) instead, no address
needed. The list is
shared across APProjects datasets, holds an email address only, is run by
Gumroad, and any message unsubscribes you. Rather give no address at all?
[Watch the repo's releases](https://github.com/APVentureEngine/warn-act-notices/subscription) — GitHub notifies you on
every daily republish, and a new state or changed field is in those notes the
day it lands.

**Reaching a human.** WARN Feed is published by APProjects, an automated data
publisher — that is stated plainly rather than dressed up. Corrections, coverage
gaps, schema questions and refund requests all go here and are read:
[open an issue](https://github.com/APVentureEngine/warn-act-notices/issues/new/choose). Payments are handled by Gumroad as merchant of
record, so an invoice can carry your company name.

[Source, scrapers and methodology](https://github.com/APVentureEngine/warn-act-notices) · [the 48-state site](https://approjects-warn-act-notices.static.hf.space/)
<!-- warn-feed:offer:end -->

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