APProjects commited on
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daily 2026 refresh

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README.md ADDED
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+ ---
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+ pretty_name: US layoffs 2026 - every WARN Act notice filed this year, rebuilt daily
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ task_categories:
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+ - tabular-classification
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+ - time-series-forecasting
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+ tags:
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+ - layoffs
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+ - layoffs-2026
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+ - job-cuts
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+ - mass-layoffs
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+ - plant-closings
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+ - warn-act
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+ - warn-notices
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+ - labor-market
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+ - unemployment
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+ - recruiting
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+ - sales-intelligence
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+ - public-records
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+ - government-data
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+ - alternative-data
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+ - united-states
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+ - daily-updated
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+ - tabular
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+ size_categories:
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+ - 1K<n<10K
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/layoffs_2026.csv
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+ - config_name: by_state
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+ data_files:
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+ - split: train
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+ path: data/layoffs_2026_by_state.csv
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+ - config_name: by_month
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+ data_files:
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+ - split: train
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+ path: data/layoffs_2026_by_month.csv
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+ - config_name: top_employers
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+ data_files:
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+ - split: train
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+ path: data/layoffs_2026_top_employers.csv
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+ ---
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+
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+ # US layoffs in 2026: 2,597 WARN notices, 236,106 workers - rebuilt every morning
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+
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+ **Data as of 2026-09-11.** One row per WARN Act layoff notice **filed with a US state
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+ agency in 2026**, normalised into one schema across 43 states. Free, CC BY 4.0,
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+ no login, no API key, no delayed tier.
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+
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+ | | |
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+ |---|---|
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+ | **2,597** | layoff notices filed in 2026 so far |
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+ | **236,106** | workers named on them (a floor - see Honest scope) |
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+ | **43** | state agencies filed at least one |
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+ | **982** | most of any state: CA |
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+ | **9,891** | largest single notice: Ideal US Talent Systems Worker OpCo LLC (RI), filed 2026-05-05 |
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+ | **217** | filed in the last 30 days |
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+
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+ ![Workers named on 2026 WARN notices, by month](chart.svg)
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+
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+ *Workers named on notices filed in each month of 2026. Peak so far: May with 45,083 workers across 280 notices. Counts are floors, and the final month is still being filed into.*
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+
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+ ## Why this file and not a spreadsheet someone posted
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+
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+ Layoff notices arrive every business day, in 46 different formats, from 46 different
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+ state portals - and states amend headcounts and rescind notices after filing. This slice
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+ is rebuilt from those portals every morning, so the 2026 picture here moves. A static
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+ copy of it is out of date within about 24 hours. If you are reading a mirror that has not
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+ changed in a week, it is missing this week's layoffs.
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+
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+ Want the full history instead of this year? [**59,136 notices back to 1988**](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily).
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+ Want the ones that have not happened yet? [**Notices taking effect in the next 90 days**](https://huggingface.co/datasets/APProjects/upcoming-layoffs-job-cuts-plant-closings-us-warn-act).
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+
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+ ## Quickstart
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ layoffs = load_dataset("APProjects/layoffs-2026-us-warn-act-notices-daily", split="train")
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+ by_state = load_dataset("APProjects/layoffs-2026-us-warn-act-notices-daily", "by_state", split="train")
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+ by_month = load_dataset("APProjects/layoffs-2026-us-warn-act-notices-daily", "by_month", split="train")
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+ top = load_dataset("APProjects/layoffs-2026-us-warn-act-notices-daily", "top_employers", split="train")
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+ ```
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+
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+ ```python
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+ import pandas as pd
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+ base = "https://huggingface.co/datasets/APProjects/layoffs-2026-us-warn-act-notices-daily/resolve/main/data/"
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+ df = pd.read_csv(base + "layoffs_2026.csv", parse_dates=["notice_date", "effective_date"])
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+
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+ df.groupby("state").employees_affected.sum().nlargest(10) # worst-hit states
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+ df[df.company.str.contains("Amazon", case=False, na=False)] # one employer
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+ df[df.notice_date >= "2026-08-12"] # the last month
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+ ```
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+
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+ ## Columns
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+
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+ | column | meaning |
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+ |---|---|
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+ | `id` | stable notice id, joins to the [full archive](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily) |
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+ | `state` | two-letter filing state |
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+ | `company` | employer exactly as the state agency published it |
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+ | `company_canonical` | normalised employer name - this is what lets you group one company across states |
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+ | `location` | city / county as filed |
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+ | `employees_affected` | workers named on the notice; blank where the agency published none |
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+ | `notice_date` | date the employer filed - **2026 for every row in this file** |
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+ | `effective_date` | date separations take effect, where the agency published one |
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+ | `notice_type` | layoff / closure / permanent / temporary, as filed |
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+
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+ Rollups: `by_state` is `state, notices, workers`; `by_month` is `month, notices, workers`;
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+ `top_employers` is `company, notices, workers, states`.
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+
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+ ## Honest scope - read this before quoting a number
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+
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+ - **Every worker total is a FLOOR.** 43 of the 2,597 2026 notices carry no headcount from the agency. They count as zero workers, never as a guess.
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+ - **3,263 notices in the whole archive carry no filing date at all** and therefore cannot appear in a by-filing-year slice, however recent they are. That is a gap in what states publish, not a filter we chose.
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+ - **2 rows in this file carry a filing date after 2026-09-11** - forward-dated or mistyped by the filing state. They are kept because that is what the agency published, and excluded from the chart.
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+ - **Sep 2026 is a partial month** - it is still being filed into. Do not read the last
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+ bar of the chart as a decline.
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+ - Coverage is 46 state agencies, not 50. A state that files late is invisible
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+ until it files, and absence from this file is not evidence that a company is not cutting.
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+ - A state's published `notice_date` is often the date the STATE logged the filing, not the
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+ day the employer sent it.
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+ - Compiled from state workforce-agency portals. Independent project, not affiliated with any
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+ government agency. Not legal, financial or employment advice.
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+
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+ ## Where it comes from, and how to check it
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+
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+ Every row traces to a state agency portal; the per-state sources, formats and last-checked
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+ timestamps are published at [approjects-warn-act-notices.static.hf.space/sources.html](https://approjects-warn-act-notices.static.hf.space/sources.html). Code and the
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+ full data mirror: [github.com/APVentureEngine/warn-act-notices](https://github.com/APVentureEngine/warn-act-notices). Corrections:
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+ [open an issue](https://github.com/APVentureEngine/warn-act-notices/issues) - they ship the same day.
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+
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+ ## Getting told when the next one lands
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+
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+ Everything above is free and always will be. The one paid thing this project sells is the
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+ *watching*: [**WARN Watch**](https://approj.gumroad.com/l/warn-watch) runs your employer and state list against every daily
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+ rebuild for a year and delivers matches to a private alert page, an RSS feed and an optional
142
+ Slack / Discord / Teams webhook - $49/year, one payment, no auto-renew, 14-day refund.
143
+ Try it first for nothing: [**free 30-day watch**](https://approj.gumroad.com/l/warn-free-watch), no card, up to 3 employers
144
+ or one whole state.
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+
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+ Cite as: "WARN Feed - US layoffs 2026 (WARN Act notices filed in 2026), rebuilt 2026-09-11,
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+ huggingface.co/datasets/APProjects/layoffs-2026-us-warn-act-notices-daily".
chart.svg ADDED
data/layoffs_2026.csv ADDED
The diff for this file is too large to render. See raw diff
 
data/layoffs_2026_by_month.csv ADDED
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+ month,notices,workers
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+ 2026-01,366,34843
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+ 2026-02,349,28185
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+ 2026-03,330,23462
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+ 2026-04,367,32953
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+ 2026-05,280,45083
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+ 2026-06,359,20264
8
+ 2026-07,230,21153
9
+ 2026-08,251,23704
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+ 2026-09,63,6393
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+ 2026-10,1,8
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+ 2026-11,1,58
data/layoffs_2026_by_state.csv ADDED
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+ state,notices,workers
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+ CA,982,53038
3
+ IL,86,16788
4
+ TX,99,16500
5
+ FL,203,14580
6
+ WA,90,14576
7
+ NY,141,12023
8
+ NJ,92,10620
9
+ GA,68,10350
10
+ RI,5,10136
11
+ OH,67,8967
12
+ MD,97,6577
13
+ VA,49,6466
14
+ TN,46,6301
15
+ NC,47,5256
16
+ CO,40,5045
17
+ AZ,40,4285
18
+ IN,26,3868
19
+ WI,49,3564
20
+ IA,81,3123
21
+ KY,30,2677
22
+ DC,11,2601
23
+ CT,14,2371
24
+ OR,65,2270
25
+ AL,24,2110
26
+ NV,12,1896
27
+ MS,12,1804
28
+ UT,13,1694
29
+ LA,12,1567
30
+ NE,6,1143
31
+ HI,26,716
32
+ VT,6,677
33
+ ID,7,659
34
+ KS,7,617
35
+ ME,6,378
36
+ MN,4,238
37
+ DE,3,174
38
+ AK,1,160
39
+ MT,3,95
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+ SD,4,87
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+ NM,2,62
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+ ND,1,47
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+ OK,11,0
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+ WV,9,0
data/layoffs_2026_top_employers.csv ADDED
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1
+ company,notices,workers,states
2
+ Ideal US Talent Systems Worker OpCo,3,11973,GA|IL|RI
3
+ Spirit Airlines,11,6906,FL|GA|MD|NJ|NV|NY
4
+ Meta Platforms,14,5686,CA|WA
5
+ Amazon,17,5386,CA|FL|NJ|NY|VA|WA
6
+ Republic National Distributing,17,3533,AZ|DC|FL|GA|IL|LA|MD|NC|NE|SD|VA|WA
7
+ Tyson Foods,1,2495,IL
8
+ "Tyson Foods, Inc (Amarillo B-Shift Operations) Updated",1,1761,TX
9
+ Franciscan Health Olympia Fields,1,1535,IL
10
+ KBR Services,2,1408,CA
11
+ T-Mobile,9,1363,CO|IL|KY|NJ|OK|TN|TX|WA
12
+ International Motors,1,1341,OH
13
+ Amazonfresh,8,1281,IL
14
+ Medical Facility Associates,1,1270,DC
15
+ Oracle America,6,1239,CA|NY|WA
16
+ Meta,4,1234,NJ|NY
17
+ SDH Education West,4,1178,AZ|NY
18
+ Alan Ritchey,3,1137,CO|NJ|TX
19
+ Essendant,7,1128,AZ|CA|GA|IL|TX
20
+ Conifer's Health Solutions,1,1037,TX
21
+ FreshRealm,3,1032,CA|NJ|TX
22
+ Macys Cheshire Fulfillment Center,1,993,CT
23
+ SK Battery America,1,958,GA
24
+ Citibank,3,947,NJ|NY
25
+ Borton & Sons,1,928,WA
26
+ "Aramark Campus, LLC (University of Kentucky)",1,923,KY
27
+ Intuit,4,910,CA
28
+ First Brands Group,5,901,CA|IN|TN|TX
29
+ Saks &,18,891,AZ|CA|FL|HI|MD|NC|NJ|NV|NY
30
+ Home Depot U.S.A,1,797,GA
31
+ PNC Bank,1,777,CO
32
+ Ideal US Talent Worker OpCo,1,776,VA
33
+ NIKE Retail Services,2,776,MS|TN
34
+ Del Monte Foods Corporation II Inc - Modesto,1,765,CA
35
+ Wellstar Health System,1,761,GA
36
+ Samsung Electronics America,1,739,NJ
37
+ 24Hr Homecare,1,738,CA
38
+ TeamOne,1,725,CA
39
+ Tyson Fresh Meats,1,723,UT
40
+ Diamond Transportation Services,2,715,MD|VA
41
+ Lucid,1,705,AZ
42
+ IPIC Theaters,8,705,FL|GA|MD|NJ|NY|WA
43
+ "Republic National Distributing Company, LLC (Reyes Holdings, L.L.C) Grand Prairie",1,689,TX
44
+ General Dynamics Information Technology,8,657,DC|MD|VA
45
+ Crothall Healthcare,2,654,MD|VA
46
+ Laurel Ridge Treatment Center (Laurel Ridge),1,648,TX
47
+ "First Brands Group (Champion Laboratories, Inc.-multiple sites)",1,642,IL
48
+ Amentum,7,632,AZ|GA|HI|MD
49
+ Whirlpool,2,629,IA
50
+ Grocery Delivery E-Services,2,628,IL|NJ
51
+ Stanley Black & Decker,3,612,MD|MS|TN
52
+ Starbucks,4,606,WA
53
+ Microsoft,1,605,WA
54
+ Thermo Fisher Scientific,2,596,CA|NC
55
+ Resilience Healthcare - West Suburban Medical Center,1,589,IL
56
+ "Republic National Distributing Company, LLC (Reyes Holdings, L.L.C) Houston",1,588,TX
57
+ humano,1,586,IN
58
+ SIMOS Insourcing Solutions,1,572,IN
59
+ WK Kellogg,2,568,NE|TN
60
+ Wells Fargo,19,564,CA|IA|IL|NC
61
+ First Student,4,552,CA|IA|KS|WA
62
+ Amazon (Western),1,542,NY
63
+ JP Morgan Chase,5,541,NJ
64
+ LinkedIn,4,540,CA
65
+ Yokohama Tire Manufacturing Virginia,1,533,VA
66
+ Bahama Breeze,7,525,FL|VA
67
+ DLH Solutions,2,521,AZ|TN
68
+ Gilbert Orchards,1,518,WA
69
+ Spirit Airlines (IAH) May 2026,1,515,TX
70
+ Eagle Rock Distribution,1,514,CO
71
+ Geodis,4,497,CA|KY|OH
72
+ Thrive SMP,1,497,GA
73
+ Postal Center International,3,496,FL|IN|TX
74
+ SDH Services West,1,488,OH
75
+ Daniel Drake Center for Post-Acute Care,1,474,OH
76
+ Verizon Corp Resources Group,3,473,NJ
77
+ UnityPoint Health,12,471,IA|WI
78
+ Sky Chefs,1,471,NY
79
+ Cisco Systems,3,471,CA
80
+ Walgreen,2,468,IL
81
+ Uber Technologies,3,459,CA|IL|WA
82
+ Lucid Group,2,455,CA
83
+ Spirit Airlines (DFW) May 2026,1,444,TX
84
+ United Natural Foods,1,443,WI
85
+ eBay,2,441,CA
86
+ Parsec,3,441,FL|GA|OH
87
+ Fortrex,4,435,CA|ID|NC
88
+ Charter Communications,2,425,TX|WI
89
+ Greenwood Leflore Hospital,1,425,MS
90
+ Saddle Creek,3,424,FL|IL|TX
91
+ Management & Training,2,420,FL
92
+ LeeMAH Electronics,2,417,CA
93
+ Snap,3,415,CA|WA
94
+ UPDATE First Brands Group Seneca,1,407,OH
95
+ ServiceNow,4,404,CA
96
+ Legacy Cabinets,1,397,AL
97
+ DHL Supply Chain,4,391,CA|FL|NC
98
+ DSV Contract Logistics (3PL Logistics Facility),1,391,TX
99
+ Visa,2,390,CA|WA
100
+ CNH Industrial America,24,390,IA
101
+ "First Brands Group, LLC (Midwest Distribution Center)",1,389,IL
102
+ Portland Truck Manufacturing Facility,1,387,OR
103
+ Lourdes University,1,387,OH
104
+ Jabil,1,382,CA
105
+ Family Dollar,1,373,NC
106
+ JeniusBank,4,372,CT|DE|OR|WV
107
+ "Republic National Distributing Company, LLC (Reyes Holdings, L.L.C) San Antonio",1,372,TX
108
+ 80 Acres Urban Agriculture,4,370,CO|GA|OH|WA
109
+ Schwebel Baking Company Youngstown,1,370,OH
110
+ HRL Laboratories,5,368,CA
111
+ Compass Group,3,362,NC|TX
112
+ Federal Express,6,349,AZ|CA|MD|NJ
113
+ "First Brands Group, LLC(Billy Mitchell)",1,345,TX
114
+ Primadonna,1,344,NV
115
+ LA Semiconductor,1,342,ID
116
+ Aludyne,1,341,GA
117
+ W South Beach & Residences,1,337,FL
118
+ Epic Games,4,337,CA|NC|WA
119
+ GoldStar Transit (GST) Eagle Mountain/Saginaw Independent School District,1,336,TX
120
+ Cayuga Home for Children,3,334,NY
121
+ Blue Diamond Growers,8,332,CA
122
+ Specialty Physicians of Illinois,1,329,IL
123
+ Carlex,1,325,TN
124
+ Main Street Sports Group,8,325,CA|CT|FL|GA|NY|TX|WI
125
+ GMRI,4,324,CA|GA|NC|WA
126
+ WP,2,324,DC|NY
127
+ Novartis Pharmaceuticals,1,322,NJ
128
+ Republic National Distributing Company LLC (RNDC),1,320,CO
129
+ Leidos,3,320,MD|VA
130
+ Pilgrim's Pride,1,315,TN
131
+ Atlassian US,2,315,CA|WA
132
+ CVS Heath - Aetna,1,313,CT
133
+ Astrion,4,309,CA|FL|OH
134
+ Texas Family Initiative,1,307,TX
135
+ Mars WrigleyConfectionary US,1,307,NJ
136
+ Ideal US Talent Systems Worker Op,1,307,DC
137
+ Panera,3,307,IL|MD|OH
138
+ Diageo North America,1,305,NY
139
+ Vistra,3,304,IL
140
+ Provo Canyon School,1,303,UT
141
+ Levi Strauss &,1,303,KY
142
+ UPDATE First Brands Group Wood,1,302,OH
143
+ First Brands Group Darke,1,302,OH
144
+ AT&T,3,300,NJ
145
+ Foreside Home Care & Nursing,1,300,CA
146
+ Stanley Black and Decker,1,300,CT
147
+ Walmart,3,299,CA|IL|NJ
148
+ Van Trans,1,297,NY
149
+ Tlingt Haida,1,295,CO
150
+ Tyson Extension - Lexington,1,294,NE
151
+ "Bungie, Inc/Sony Interactive Entertainment",1,292,WA
152
+ "Sodexo (SDH Services East, LLC) Fort Worth Independent School District",1,291,TX
153
+ Hawthorne Race Course,1,290,IL
154
+ Harbinger Production,1,290,CA
155
+ C&S Wholesale Services,1,288,LA
156
+ Tendit Group,2,286,AZ|CO
157
+ "T&H/KIRA: KIRA Infrastructure, KIRA Integrated Solutions, T&H Solutions, T&H Services, KIRA Aviation",1,286,CO
158
+ Renewal by Andersen,3,284,CA
159
+ Electric Glass Fiber America,1,282,NC
160
+ Gilead Sciences,4,277,CA|MD
161
+ Legacy Supply Chain,8,277,CA|KY|MD|TN
162
+ Resolute Forest Products,2,275,AL
163
+ NBCUniversal Media,5,273,CA|NY
164
+ Morgan Stanley,6,273,NY
165
+ Salesforce,4,270,CA|WA
166
+ Searles Valley Minerals,1,270,CA
167
+ Magic Leap,2,269,CA|FL
168
+ Flagship Facilities Services,6,269,CA|WA
169
+ UBS,4,267,NJ
170
+ RESRG Automotive,1,266,IN
171
+ Ashley Furniture Industries (Mesquite),1,266,TX
172
+ Lavish Roots,1,263,WA
173
+ PharmaCann,2,262,CO|NY
174
+ Accupac,1,260,NJ
175
+ CJ Logistics America,3,259,CA|IL|NC
176
+ "Durham School Services, LP./Monroe School Transportation",2,258,NY
177
+ H&M Fashion,2,257,IL|NY
178
+ Avelo Airlines,3,257,AZ|NC
179
+ Monterey Mushrooms,1,253,CA
180
+ Alton Steel,1,253,IL
181
+ Illinois Central School Bus,3,252,IL
182
+ PayPal,1,251,CA
183
+ Aramark Campus,3,251,AZ|CA
184
+ GXO,2,251,TN|VA
185
+ UPDATED Eagle Machining - First Brands Group,1,251,OH
186
+ TikTok USDS JV,1,250,TN
187
+ El Paso Independent School District,1,250,TX
188
+ GridHawk,1,248,OH
189
+ Frito-Lay,1,248,CA
190
+ 80 Acres Farms,2,246,TX|VA
191
+ Accel,1,246,CO
192
+ Genentech,2,244,CA
193
+ JPMorgan Chase &,1,244,TX
194
+ Sundquist Fruit,1,243,WA
195
+ Blue Cross Blue Shield of NJ,1,242,NJ
196
+ SCR Medical Transportation,1,241,IL
197
+ EchoStar Corporation (Germantown EXP facility),1,240,MD
198
+ Bush Industries,1,237,NY
199
+ Valero Refining,1,237,CA
200
+ Silgan Containers,3,235,CA
201
+ "Continental Tire the Americas, LLC's",1,235,GA