How Much Does a Government Shutdown Cost Per Day? Oct 21 Update
Last Updated on November 14, 2025 | Prices Last Reviewed for Freshness: January 2026
Written by Alec Pow – Economic & Pricing Investigator | Content Reviewed by CFA Alexander Popinker
Educational content; not financial advice. Prices are estimates; confirm current rates, fees, taxes, and terms with providers or official sources.
- Consensus anchor: $300M–$1.0B/day based on CBO analysis of the 2018–2019 lapse and an S&P Global rule-of-thumb, scope adjusted.
- Our working range (typical broad-lapse day): ~$350M–$1.05B/day after adding conservative reliability penalties, behavioral deferrals, and small spread bumps.
- Peak-day tail risk (stacked stressors): ~$1.2B–$1.3B/day when peak travel/tax-season congestion, contractor idling, and a 3–5 bp spread bump hit at once.
Per household per day (based on 132.2M U.S. households, 2024 FRED): $2.27–$7.56 (consensus), ~$7.94 (our working top), ~$9.08–$9.83 (tail-risk days).
How the per-household math works
- Lower bound: 300,000,000 ÷ 132,216,000 ≈ $2.27 per household.
- Upper (consensus) bound: 1,000,000,000 ÷ 132,216,000 ≈ $7.56.
- Our working top: 1,050,000,000 ÷ 132,216,000 ≈ $7.94.
- Tail-risk band: 1,200,000,000–1,300,000,000 ÷ 132,216,000 ≈ $9.08–$9.83.
A compromise funding bill cleared Congress and was signed by the president in mid-November, reopening agencies and recalling furloughed workers under a continuing resolution that funds most federal operations into early 2026.
Sources: Shutdown timeline · Funding bill coverage
What’s open vs. closed (Oct 21 – Day 21 snapshot)
| Service/Agency | Status today | Source |
|---|---|---|
| Social Security | Benefits continue; many online/field services available. | SSA (Oct 1) |
| USPS (mail) | Unaffected (self-funded); post offices open, mail delivered. | USPS statement |
| FAA/TSA (air travel) | Controllers & TSA working without pay; FAA furloughs ~11,000 support staff — delay risk elevated. | Reuters |
| National Parks | Open-air areas generally open with thin staffing; many staffed/indoor sites closed. | AP News |
| Federal Courts | Operating with fees through Oct 17 (paid operations); beyond that, civil slowdowns likely. | U.S. Courts |
| Financial Regulators | SEC furloughed >90%; CFTC retains ~5.7%; IPOs/ETF approvals largely paused. | Reuters |
| FTC consumer tools | Fraud reporting & telemarketing opt-out unavailable during lapse. | FTC status |
| Customs & immigration revenue | Tariff collections and USCIS fee-funded processing continue. | Reuters (DHS) |
| Economic data | BLS/BEA/Census publications paused during lapse (see “Data blackout”). | Reuters |
| SNAP / WIC | October SNAP benefits issued; WIC subject to state contingency funding. | FRAC guidance |
What changed once the shutdown went live (Day 21 snapshot)
For agency-by-agency status and source links, see the What’s open vs. closed table.
-
- SEC (CorpFin) update: Oct 9 guidance confirms limited operations; new registrations effectively paused except emergencies.
- Hill dynamics: Senate failed for the 8th time to advance a funding bill; stalemate extends into week 3.
- Macro: Treasury says the shutdown is now visibly hitting the economy; “data darkness” complicates reads.
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- Workforce: Administration reports 4,108 federal layoffs; unions challenge in court. (Historically unusual vs. prior furlough-only lapses.)
TL;DR (plain English)
- A broad shutdown like the 2025 episode costs the U.S. economy about $300 million to $1.0 billion a day. On rough days it can reach $1.2–$1.3 billion.
- That’s roughly $2–$8 per U.S. household per day (a scale check, not a tax bill).
- What pushes costs up: airport delays, park/museum closures, idled contractors, and slightly higher borrowing rates.
- Back pay returns wages later, but tourism and contractor hours are usually lost for good.
On peak-stress days, stacked effects can push shutdown costs well above $1B, into the $1.2–$1.3B range.
Related day-rate calibration: Our breakdown of National Guard deployment costs per day shows how personnel, logistics, and ops line items stack on a true daily meter.
Why most statistics get the numbers wrong
Jump to sections
Most “shutdown cost” stats use a narrow lens or smooth out the worst days. Here’s why that misses real money:
- Budget isn’t value. Back pay restores salaries, not the services or same-day spending that didn’t happen.
- Averages hide peaks. A 35-day average can bury the few worst days when airports snarl or refunds stack up.
- Spillovers get missed. Reliability penalties, missed trips that aren’t rescheduled, and deferred purchases don’t show up on federal ledgers.
- Rates move fast. Rates can move within hours, and on a $37T base even a tiny change is real money.
The headline range is conservative; bad days are worse than the averages suggest.
We treat the headline range as conservative for five reasons that standard summaries often underweight:
- Reliability penalties are real money. Airlines and contractors pay liquidated damages (contractual late fees) and schedule penalties that do not show up in simple value-of-time math. Even a 1 percent reliability surcharge on $1.0B of affected daily activity adds ~$10M/day. See USDOT BCA 2024 for time-value baselines; the surcharge is a reasonable add-on for reliability risk.
- Refund behavior, not just float. Households who expect refunds often delay durable purchases. If $3B in refunds shift a day and 5–10 percent of recipients defer a $300 purchase, short-run consumption drag can be $45–$90M/day even though interest float is only ~$0.33–$0.41M (see IRS 3/1/2024, 3/22/2024).
- Seasonality can swing costs by tens of millions per day. A lapse during peak travel or tax season magnifies items D and E in the waterfall. TSA passenger counts exceed 3.0M/day on peaks, which doubles delay costs relative to a 1.5M trough day (BTS/TSA).
- Contractor payments are often non-recoverable. Back pay covers federal employees, but contractors typically cannot bill for idle hours, so item B skews permanent. GAO case write-ups show stop-work orders that strand labor and material (GAO-20-201).
- Spread channel scales with debt stock. With public debt above $37T, even a +1 bp (0.01 percentage point) stress premium is about $10.2M/day, and +5 bp around $51.2M/day until confidence normalizes (Treasury Debt to the Penny).
Tiny spread moves on a $37T base compound into newsroom-worthy daily dollars.
What our adjusted daily range looks like
| Anchor | What it represents | Add-ons & resulting “working” range |
|---|---|---|
| ~$314M/day (CBO) CBO 2019 analysis |
Average day across a partial, 35-day lapse. | Reliability penalties ≈ $5–$15M + behavioral deferrals ≈ $20–$60M (off-peak) + small spread bumps ≈ $10–$20M Working range: ~$350–$500M/day |
| ~$0.9B/day (S&P full-scope) S&P yardstick (via Axios) |
Full-breadth shutdown rule-of-thumb. | Reliability penalties ≈ $10–$20M + peak-season behavior ≈ $45–$90M + spreads ≈ $10–$51M Working range: ~$950M–$1.05B/day on peak stress days |

Consensus from CBO (2019) and S&P (2018). Our bands add reliability penalties, behavioral deferrals, and small spread bumps.
Notes: Add-ons are conservative and illustrative; they reflect penalties and behavior shifts that typical budget or GDP lenses underweight.
Why this talk now
The U.S. government shut down at 12:01 a.m. ET on Oct 1, 2025 and remained partially closed until Nov 12, 2025, when a funding deal ended the lapse after 43 days. During the shutdown, agencies operated under contingency plans; effects varied by office, with courts funded through fees until about Oct 17 and many regulatory reviews paused. The daily price tag mattered in real time for households and businesses, and the math below remains a useful scale check for future lapses as well.
The daily price tag matters because a shutdown does not simply shift federal paychecks forward. It dents travel spending around parks and museums, jams airport throughput, delays loans and refunds, raises restart friction, and, when brinkmanship drags, can widen credit spreads that feed into borrowing costs for everyone. Journalists and everyday readers want a clean, sourced number they can quote without oversimplifying the moving parts.
What counts as cost
There are three practical lenses. The budget lens captures direct outlays such as back pay for furloughed employees and overtime to clear backlogs. The GDP lens captures lost or delayed private activity such as tourism, small business credit, and airline operations. The people lens separates who receives back pay later and who does not. In 2013, the Office of Management and Budget reported about $2.5 billion in pay and benefits to furloughed workers for hours not worked, a budget cost that did not restore the services those hours would have produced.
For the anatomy of large civic-process bills (petition gathering, legal, compliance, media), compare our breakdown of the cost to mount a statewide redistricting ballot measure.
Not all losses are equal. Delayed tax refunds and some federal purchases tend to be recouped, at least on paper, while a missed trip to a national park, a canceled museum day, a dropped business meeting, or a contractor’s idle shift rarely comes back in full. During the 2013 lapse, national groups cited a U.S. Travel estimate near $152 million per day in travel-related losses, a sector anchor for non-recoverable activity (ABC News citing U.S. Travel).
“Back pay restores paychecks, not the services that would have happened.”
How Much Does a Government Shutdown Cost Per Day?
The Congressional Budget Office estimated the 35-day partial lapse that ended in January 2019 shaved $11 billion off output across two quarters, with $3 billion permanently lost. That back-of-the-envelope works out to roughly $314 million per day over the period, excluding hard-to-quantify spillovers such as reputation damage or attrition (CBO).
Earlier episodes point the same way. The 2013 shutdown imposed measurable payroll and operations costs on the federal side, and independent tallies of private sector hits ranged into the billions when tourism leakage and airport delays were added. S&P Global’s rule of thumb ahead of 2018 put a full shutdown near $6.5 billion per week (about $0.9 billion per day) if scope widened. Duration and breadth make harm non-linear.
“The longer it lasts, the worse each day gets.”
The daily cost waterfall
These expandable cards show formulas, example inputs and sourced anchors so readers can see the math and deduce plausible daily totals.
A) Federal workforce disruption
Formula: idle employees × average daily compensation − recoverable output.
| Input | Value |
|---|---|
| Illustrative idle headcount | 400,000 workers |
| Avg daily compensation | $300 (example) |
| Payroll exposure | $120 million/day |
| Data-derived anchor | ~$379/day average in 2013 ($2.5B ÷ 6.6M furlough-days) |
OMB logged 6.6 million furlough days and $2.5B in pay and benefits for hours not worked in 2013.
Sources
B) Federal contractors’ idle time
Formula: idle contractor days × average bill rate × idle fraction.
| Input | Value |
|---|---|
| Idle contractor days | 150,000 |
| Avg bill rate | $400 |
| Daily loss | $60 million |
Contractors typically do not receive back pay, so these losses are largely unrecoverable.
C) Procurement and grants pauses
Formula: obligations normally awarded per day × slip penalty + restart rework.
| Assumption | Math |
|---|---|
| Daily obligations | $3.0B |
| Slip penalty | 0.2% |
| Friction cost | ~$6 million/day |
Agencies reported delayed solicitations, award slippage and re-competitions after the 2018–2019 lapse.
Sources
D) Air travel throughput
Formula: passengers × added minutes × value-of-time + airline penalties.
| Scenario | Daily time cost |
|---|---|
| 2.5M passengers × 5 min × $0.42/min | ~$5.2M |
| 2.5M passengers × 10 min × $0.42/min | ~$10.4M |
USDOT values personal travel time near $25/hour; TSA throughput often exceeds 2.5M/day. A Jan 2019 LaGuardia ground stop showed how staffing strain can cascade.
Sources
E) IRS operations and refund float
Formula: refunds moving per day × short-term rate.
| Refunds moving | Rate | Float/day |
|---|---|---|
| $3.0B | 4–5% | $0.33–$0.41M |
IRS reported cumulative refunds of $127B by Mar 1, 2024 and ~$169–172B by Mar 22, implying billions flowing daily at peak.
Sources
F) SBA, USDA and DOE credit pipelines
Formula: daily approvals × opportunity-cost per day + payroll knock-ons.
| Anchor | Back-of-envelope |
|---|---|
| SBA 7(a) FY2024 volume | ~$56B |
| Avg approvals/day | ~$150M (56B ÷ 365) |
| One-day interest at 6% | ~$24.7K (0.06 × 150M ÷ 365) |
Pure interest costs look small, but payroll and vendor payments tied to approvals create local stress when paused.
Source
G) National parks and museums
Formula: visitors lost × avg local spend × non-substitution rate.
| Historical anchor | Daily effect |
|---|---|
| Park-adjacent visitor spend lost | ~$31M/day over a 16-day episode |
| Smithsonian closures revenue | Losses reported during 2019 closures |
States sometimes fund park operations temporarily because local spillovers exceed the subsidy.
H) Research and labs
Formula: grant burn rate × labs paused + restart waste.
- 111 NSF grant-review panels were canceled during the 2018–2019 lapse.
- Rescheduling cascaded for months, pushing deliverables and hiring.
Source
I) Food and drug inspections
Formula: inspections missed × baseline incident probability × incident cost.
Routine oversight scaled back in prior lapses, raising expected risk costs even if incidents remain rare. Label this as expected value, not a prediction.
Source
J) Customs and ports
Formula: cargo value delayed × daily carrying cost of capital.
| Anchor | Math |
|---|---|
| Goods imports, July 2025 | $358.8B, ~$11.6B/day |
| Delay example | $2.0B × 5% ÷ 365 ≈ $0.27M/day in financing |
Sources
K) Defense programs and stop work
Formula: program daily burn × delay factor + liquidated damages where applicable.
Milestone slippage and idled lines during lapses later inflate catch-up costs and schedule risk.
Source
L) Ratings and Treasury spreads
Formula: total federal debt × spread change.
| Spread change | Per-day interest delta |
|---|---|
| +1 bp on $37.4T | ~$10.2M/day |
| +5 bp on $37.4T | ~$51.2M/day |
Debt to the Penny shows outstanding debt in the mid $30Ts, so small spread moves scale quickly.
M) Household consumption drag
Formula: affected income per day × marginal propensity to consume × multiplier.
Part of the measured GDP hit reflects lower near-term spending by furloughed workers and households awaiting refunds, even with later back pay.
Source
N) Local cluster effects
Formula: metro federal payroll share × metro GDP/day + tourism share × non-substitution.
Federal hubs such as Washington DC, Hampton Roads and Huntsville feel outsized daily hits when offices go quiet and visitors cancel.
Background
O) Restart friction
Formula: backlog clearance hours × avg comp + compliance rework + overtime.
Overtime and re-work inflate post-lapse costs, particularly where compliance timelines reset.
Source
Static scenario table
Use this grid to describe range, drivers and irrecoverable shares in plain language.
This table translates component math into three recognizable news scenarios. The irrecoverable share rises with duration because tourism, contractor hours and attrition effects compound.
| Scenario | Duration | Scope | Daily range | Biggest drivers today | Irrecoverable share |
|---|---|---|---|---|---|
| Short jolt | 3 to 5 days | Limited agencies | $250 million to $450 million | TSA or FAA staffing, parks, contractors | Low to medium |
| Grinding pause | 2 to 3 weeks | Broad | $350 million to $700 million | Refund float, loan approvals, research stalls | Medium |
| Structural harm | 30 plus days | Broad | $600 million to $1.0 billion | Ratings spread, attrition, defense slips | High |
These brackets square with a realized $314 million per day average for 2019 and an ≈$0.9 billion per day full-scope yardstick if breadth and duration expand.
New quick-read tables
Grab defensible numbers fast, with sources linked in captions.
| Passengers | Added minutes | Value per minute | Daily time cost |
|---|---|---|---|
| 2.5 million | 5 | ≈ $0.42 | ~$5.2 million |
| 2.5 million | 10 | ≈ $0.42 | ~$10.4 million |
| 2.8 million | 10 | ≈ $0.42 | ~$11.8 million |
Per-household equivalents translate big GDP figures into everyday scale without implying a tax bill.
| Daily impact | Per household per day |
|---|---|
| $300 million | $2.27 |
| $450 million | $3.40 |
| $700 million | $5.29 |
| $1.0 billion | $7.56 |

Converts national daily totals into household-scale dollars using 132.2M U.S. households (FRED TTLHHM156N, 2024).
Spread math shows how brinkmanship, even without a lapse, can raise borrowing costs at scale.
| Assumed total debt | Spread change | Annual interest delta | Per day |
|---|---|---|---|
| $37.506 trillion | +1 bp | ~$3.75 billion | ~$10.28 million |
| $37.506 trillion | +5 bp | ~$18.75 billion | ~$51.38 million |

On ~$37.4T in federal debt, small spread moves add up quickly (Treasury Debt to the Penny).
Worked example for a single day
Consider a limited-scope day affecting a slice of the federal workforce and several high-visibility services.
| Component | Illustrative daily amount |
|---|---|
| Federal payroll exposure (idle) | $120 million |
| Contractor idle time | $60 million |
| Parks and museum tourism leakage | $25 million |
| Airport delay value of time | $20 million |
| Restart friction and rework | $15 million |
| Subtotal | $240 million |
Add refund float impacts and small-business credit timing, and the daily total plausibly approaches $300 million. This arithmetic is illustrative, not a forecast, but it mirrors ranges in CBO and S&P benchmarks.
Hidden add ons
Back pay does not include restart overtime or weekend work, which can run tens of millions across large agencies after a long pause. Procurement re-competitions and compliance checks add smaller but real administrative bills. States also pay to keep marquee parks open to shield local economies, as Arizona and Utah pledged in 2023, after earlier outlays during 2013.
For a concrete analogue of non-payroll rework (signage, seals, forms, IT, contracts), see our estimate of rebranding the Pentagon to the “Department of War”.
Real cases
In Jan 2019, a LaGuardia ground stop tied to staffing strain rippled across the system, illustrating how even partial lapses can spike delay costs for a day (Reuters).
Museums took visible hits. The Smithsonian reported closures beginning Jan 2, 2019, and national groups summarized larger nationwide losses for parks and cultural institutions (AAM).
Methodology
- Top-down lens uses CBO’s realized GDP loss from the 2018–2019 lapse and S&P’s pre-lapse weekly yardstick to bound a per-day range for broad shutdowns.
- Bottom-up lens adds sector components: federal payroll exposure, contractor idle time, aviation value-of-time, parks and museum spillovers, small-business credit timing, refund float, research pauses, spread effects and restart friction, each with a sourced anchor.
- Assumptions stay conservative where uncertain. Value-of-time uses USDOT BCA 2024. Debt spread math uses Treasury Debt to the Penny and basis-point deltas.
- Recoverability is labeled qualitatively. Budget back pay is paid later, but lost tourism, contractor hours and missed business meetings are often not recovered.
- Rounding keeps component math readable. Per-household figures divide daily ranges by the latest total household count from FRED.
Methodology addendum (Oct 2025)
We fold in CBO’s fresh memo (Sept 30, 2025) on likely shutdown effects, pay timing, measured GDP drag, and private spillovers, to refine our recoverable vs. non-recoverable weighting.
Reference: CBO, “Potential Effects of a Federal Government Shutdown” (Sept 30, 2025)
References
- Congressional Budget Office, 2019 partial shutdown effects
- Office of Management and Budget, 2013 shutdown report
- GAO-20-201, Selected Agencies, 2020
- GAO-20-377, 2020
- USDOT Benefit-Cost Analysis Guidance, 2024 update
- BTS, average daily number of people screened by TSA
- IRS filing-season stats, week ending Mar 1, 2024 and week ending Mar 22, 2024
- BEA/Census FT900, July 2025 trade
- Census FT900, methodology PDF
- U.S. Treasury, Debt to the Penny
- American Alliance of Museums, economy and jobs
- Axios summary of S&P estimate
- Reuters, LaGuardia ground stop, Jan 2019
- ABC News citing U.S. Travel, 2013
- FRED, Total Households
Answers to Common Questions
How was the daily range derived?
By combining a top-down view from CBO’s 2019 analysis with bottom-up sector anchors such as USDOT value-of-time math, park and museum revenues and S&P’s full-scope yardstick, then adjusting for recoverability.
Which costs are usually repaid later?
Federal employee pay and many delayed purchases show up later on budget ledgers. Tourism spending, contractor hours and missed business travel are rarely recouped.
Do markets always suffer during shutdowns?
Short lapses often show muted moves, but prolonged brinkmanship can widen spreads. With public debt above $37T, even small spread changes scale quickly.
Why include parks and museums in a daily number?
They convert foot traffic into local sales every day; closures or partial openings erase spending that rarely returns. Several states have paid to keep gates open for this reason.
Is the per household number fair?
It is a communication device, not a tax bill, created by dividing the national daily impact by household count so the scale is tangible.

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