APProjects/us-bank-insurance-finance-layoffs-warn-act-notices-daily

US bank, insurance and finance layoffs — the actual WARN Act filings, rebuilt every day

Last rebuilt: 2026-09-18. 2,081 layoff and closure notices filed by banks and mortgage lenders, insurers and health-plan administrators, brokerages and asset managers, card and payments companies, credit unions, tax, payroll and accounting firms, and real-estate and property-management operators with US state labor departments — 178,885 workers, 766 employers, 45 states, 1988–2026. 404 of the notices (19.4%) were recorded by the state as a closure rather than a layoff. Free, CC BY 4.0, no login, no delay.

Bank branch closures, insurer consolidations and mortgage-lender layoffs are announced in earnings calls and trade press one institution at a time; the legal filings behind them — employer, site, workers affected, notice date, effective date, closure or layoff — sit on 48 separate state portals and are never assembled as one financial-sector series. This file is that series. 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 bank, insurance and finance 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.

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

What counts as finance here: the employer name reads as a bank, bancorp, credit union, mortgage or consumer lender, insurer, brokerage, securities or asset-management firm, card or payments company, tax, payroll or accounting firm, or a real-estate / property-management operator — or is one of ~90 named institutions (Wells Fargo, Bank of America, Capital One, State Farm, Morgan Stanley, JPMorgan Chase, PayPal, Prudential…). Health-plan administrators are here too (Blue Shield, Optum, Aetna, Humana) because they file as insurers; hospitals and clinics are NOT — the healthcare rule claims them first. Some name words are loose: properties puts Rio Properties, a Las Vegas casino, in this file. The sector_rule column shows the pattern that fired on every row, so drop any you disagree with.

"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…). 457 rows have no type because that state's portal does not publish one.

Files

file	rows	what it is
data/finance_layoff_notices.csv	2,081	every bank, insurance and finance WARN notice, one row each
data/finance_layoffs_by_employer.csv	766	per-employer history with closure count, biggest first
data/finance_layoffs_by_year.csv	39	notices, closures, workers and employers per year
data/finance_layoffs_by_state.csv	45	notices and workers per state

import pandas as pd
df = pd.read_csv("https://huggingface.co/datasets/APProjects/us-bank-insurance-finance-layoffs-warn-act-notices-daily/resolve/main/data/finance_layoff_notices.csv")
df.groupby(df.notice_date.str[:4]).employees_affected.sum().tail(10)

Bank, insurance and finance layoffs by year

year	notices	of which closures	workers affected	employers
2026	132	5	7,825	53
2025	115	5	9,171	47
2024	100	22	8,525	37
2023	145	8	10,018	54
2022	86	12	7,515	47
2021	65	14	4,969	33
2020	205	46	21,761	133
2019	105	30	8,879	64
2018	172	73	10,906	62
2017	124	23	6,827	50
2016	138	29	7,543	61
2015	86	23	7,732	41
2014	74	5	4,026	39
2013	56	12	7,898	33
2012	36	6	3,453	20

The employers with the most bank, insurance and finance layoff workers on file

employer	notices	closures	workers	states	first	last
Wells Fargo	171	31	12,517	AL, AZ, CA, CO, FL, IA, ID, IL, MD, MN, MT, NC, ND, NE, NJ, NV, NY, OR, PA, SC, SD, TX, UT, VA, WA	2003-12-12	2026-09-15
Bank of America	71	7	8,478	AZ, CA, CT, FL, IL, KS, KY, MD, MI, NC, NJ, NY, OR, PA, RI, SC, UT, VA, WA	1998-01-16	2026-03-19
Capital One	38	16	7,209	CA, DE, IL, KS, MD, MN, NE, NJ, NY, OK, OR, SD, VA, WA	2004-12-22	2025-08-15
Rio Properties	2	1	3,945	NV	2020-04-22	2023-08-02
State Farm	26	8	3,716	AZ, CA, FL, IL, IN, MD, MN, MO, NJ, NY, OK, TX, WA	2011-11-01	2023-01-24
Morgan Stanley	25	0	3,242	IL, NJ, NY, OH, UT	2007-10-01	2026-03-05
WHC Payroll	5	0	2,495	FL, WA	2020-06-01	2020-09-10
JPMorgan Chase	19	2	2,263	CA, DE, FL, IL, IN, MI, NJ, NY, TX, VA	2007-01-01	2026-06-23
HSBC	29	9	2,048	CA, DE, FL, IL, NJ, NY, VA	2008-09-04	2020-03-17
Citibank	8	0	1,981	IL, NJ, NY	1993-01-15	2026-08-01
PayPal	15	0	1,879	CA, MD	2017-03-10	2026-09-01
Prudential	17	0	1,757	IL, NJ, NY, PA	1996-04-17	2026-07-01
Blue Shield of California	96	0	1,749	CA	2016-02-02	2026-08-21
Barclays Services	9	0	1,664	DE, NJ, NY	2018-04-09	2025-11-01
Fifth Third Bank	8	0	1,596	IL, MI, OH, TX	2019-03-12	2026-09-11

States with the most bank, insurance and finance layoff workers on file

state	notices	workers
IL	205	30,788
CA	536	27,022
NY	397	21,797
NJ	124	12,578
MI	67	8,810
PA	62	7,100
FL	78	6,584
NV	10	5,401
WA	42	5,227
TX	31	4,975

Most recent bank, insurance and finance filings in this build

date	employer	state	location	notice type	workers
2026-11-01	UBS	NJ	Weehawken	—	58
2026-09-15	Truist Bank	TX	Arlington, Tarrant	—	205
2026-09-15	Wells Fargo	IA	West Des Moines	Amendment - Additional Employees	35
2026-09-11	Fifth Third Bank	MI	Oakland	Mass layoff	234
2026-09-01	UBS	NJ	Weehawken	—	41
2026-09-01	Wells Fargo	IA	West Des Moines	Amendment - Additional Employees	5
2026-09-01	PayPal	CA	Santa Clara County	Layoff Permanent	251
2026-08-21	Blue Shield of California	CA	Los Angeles County	Layoff Permanent	3
2026-08-21	Blue Shield of California	CA	El Dorado County	Layoff Permanent	12
2026-08-21	Blue Shield of California	CA	Alameda County	Layoff Permanent	25
2026-08-21	Blue Shield of California	CA	Sacramento County	Layoff Permanent	5
2026-08-21	Blue Shield of California	CA	San Diego County	Layoff Permanent	4

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.
• Public commit log of every daily rebuild: https://github.com/APVentureEngine/warn-act-notices.
• Whole archive, all sectors: https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily.
• All 20 sectors, not just this one: layoffs by industry sector.
• Verify anything that matters at the state source before you publish it.

If this saved you a scrape

• Like this dataset (the heart, top right) — likes are how the next person searching for bank, insurance and finance layoffs finds a file that was rebuilt today instead of one uploaded once years ago.
• Watch the source repo's releases — one notification each day the snapshot is republished.
• Corrections and questions: open an issue.

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

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 2026-09-18; 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:

• 636 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 →

Look something up right now — free, no signup, nothing to install. Check any employer or state against the last 180 days → 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 →

Need one industry only? The same filings, cut by an auditable employer-name rule (each row keeps the rule that fired): tech companies · hospitals & healthcare · retail store closings · restaurants & hotels · factory & plant closings · banks, insurance & finance · warehouses, trucking & logistics · all 20 sectors.

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 · what you get
• Try it free for 30 days, no card · Buy — $49/year

Not deciding today? Join the update list → — one email when a new dataset or tier is published; nothing promotional. A state added or a column renamed ships in the daily release 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 — 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. Payments are handled by Gumroad as merchant of record, so an invoice can carry your company name.

Source, scrapers and methodology · the 48-state site

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