Restaurant Failure Rate: What the Data Actually Says (2025)

By Rod Downey • June 2026 • 11 min read

The 90% Myth Has Been Wrong for Decades

Somewhere in the 1990s, a television advertisement claimed that 90% of restaurants fail in their first year. No source was cited. No methodology was explained. The number spread anyway -- through culinary schools, business journalism, and well-meaning advisors -- until it became one of the most repeated statistics in the food industry.

It is wrong.

The real first-year restaurant failure rate, according to U.S. Bureau of Labor Statistics data, is approximately 17% -- lower than the average first-year failure rate for all service-providing businesses. A 2014 research paper from the University of California, Berkeley, co-authored with BLS economists, confirmed this figure using a national dataset of restaurant openings and closures.

More recent data from Datassential's U.S. and Canada Operators database, which tracks the operating status of approximately 700,000 restaurants nationwide, shows the first-year failure rate dropped to just 0.9% in 2025 -- the lowest recorded since at least 2018.

This article compiles the best available data on restaurant survival rates, explains why the myth persists, and examines what actually causes restaurants to close -- which matters far more to an owner in trouble than any aggregate statistic.


The Real Restaurant Failure Rate: What the Data Shows

First-Year Survival

The most reliable long-term baseline comes from the BLS Business Employment Dynamics dataset and the Berkeley research paper. Across a broad national sample:

| Timeframe | Restaurant Survival Rate | All Small Business Survival Rate |

|---|---|---|

| 1 year | 83.1% | 79.6% |

| 5 years | 51.4% | 49.6% |

| 10 years | 34.6% | 33.6% |

Source: U.S. Bureau of Labor Statistics / University of California, Berkeley

Restaurants actually outperform the average small business at every interval measured. The industry is hard -- but it is not uniquely lethal.

Recent Year-by-Year Data

Datassential tracks first-year failure rates annually using verified closure data from online review platforms and direct operator records. Their data shows a clear COVID disruption followed by a sharp recovery:

| Year | First-Year Failure Rate |

|---|---|

| 2018 | 4.7% |

| 2019 | 5.6% |

| 2020 | 5.1% |

| 2021 | 12.3% |

| 2022 | 10.0% |

| 2023 | 9.3% |

| 2024 | 4.7% |

| 2025 | 0.9% |

Source: Datassential Sales Intelligence, 2025

The 2025 figure -- 0.9% -- reflects both a post-COVID stabilization and a period when new restaurant openings slowed, meaning the operators who did open in 2025 tended to be better-capitalized and more deliberate.

Five-Year Failure Rates

Datassential also tracks failure rates for restaurants that have been open five years:

| Year | 5-Year Failure Rate |

|---|---|

| 2018 | 31.3% |

| 2019 | 32.8% |

| 2020 | 30.2% |

| 2021 | 31.9% |

| 2022 | 24.9% |

| 2023 | 14.8% |

| 2024 | 5.1% |

| 2025 | 0.9% |

Source: Datassential Sales Intelligence, 2025


Failure Rates by Segment

Not all restaurants face the same risk. Datassential's 2025 data breaks down first-year failure rates by segment:

| Segment | First-Year Failure Rate (2025) |

|---|---|

| Fine Dining | 4.9% |

| Casual Dining | ~1.0% |

| Quick Service (QSR) | ~1.0% |

| Midscale | 0.6% |

| Fast Casual | 0.5% |

Fine dining carries the highest risk -- roughly 5x the rate of fast casual. The capital requirements, labor intensity, and price sensitivity of fine dining create a narrower margin for error.

Failure Rates by Cuisine

Datassential's 2025 data also shows variation by cuisine type.

Lowest first-year failure rates: Pizza (fewer than 2 closures per 1,000 openings in 2025) and Japanese cuisine.

Highest first-year failure rates: Steakhouses, African cuisine concepts, and Italian. The steakhouse result is consistent with the fine dining finding -- high price points, high labor costs, and a customer base that is sensitive to economic conditions.


Why the Myth Persists

The 90% figure survives because it is emotionally resonant. It confirms what people already believe about restaurants -- that they are glamorous but doomed. It gets repeated by culinary school instructors as a cautionary tale, by journalists looking for a dramatic lede, and by well-meaning advisors trying to manage expectations.

The National Restaurant Association has never published a 90% figure. The BLS data contradicts it directly. Yet the myth persists because no one benefits from correcting it.

A 2003 study published in the Cornell Hospitality Quarterly by H.G. Parsa and colleagues examined restaurant survival in Columbus, Ohio over a three-year period and found a first-year failure rate of 26.16% -- higher than the BLS national figure but nowhere near 90%. The Parsa study is often cited as the definitive academic correction to the 90% myth.


What Actually Kills Restaurants

The aggregate failure rate matters less than understanding the specific mechanisms of failure. Restaurants that close share identifiable patterns.

Undercapitalization at opening. The most common cause of first-year failure is running out of cash before reaching break-even. Most restaurant concepts take 6 to 18 months to stabilize. Operators who open with less than 6 months of operating expenses in reserve are highly vulnerable to any disruption.

Prime cost above 65%. Prime cost -- the combined total of food cost and labor cost as a percentage of revenue -- is the single most predictive financial metric for restaurant viability. Operators running prime cost above 65% consistently are in a structural deficit. See What Is Prime Cost and Why It Decides Whether Your Restaurant Survives for the full framework.

Lease obligations that exceed revenue capacity. A lease negotiated at the top of a market, or a personal guarantee signed without understanding its implications, can make a restaurant mathematically impossible to save even when operations improve. See What Happens to Your Personal Guarantee When You Close a Restaurant for what this means in practice.

Demographic mismatch. A concept that works in one market fails in another because the customer base does not support the price point, cuisine type, or dining occasion. This is particularly common with second and third locations opened before the original concept is fully proven.

Deferred financial problems. Many restaurants that close in year 3 or 4 were actually in trouble in year 1 or 2. Owners defer the decision -- taking on SBA loans, maxing personal credit, borrowing from family -- which extends the timeline but worsens the eventual outcome. See Your Restaurant Is in Debt. Here Are Your Actual Options for the decision framework.


The 9,500 Number: 2025 in Context

The Restaurant Exit Advisor's own analysis found that 9,500 independent restaurants closed in 2025. That figure is consistent with the Datassential data -- a low failure rate as a percentage of the total base still produces a large absolute number when the base is approximately 500,000 independent operators.

The 2025 closures were concentrated in specific segments: full-service independents in high-cost urban markets, restaurants that took on PPP loans and SBA EIDL debt during COVID and could not sustain the debt service as sales normalized, and fine dining concepts that opened during the 2021-2022 boom and never found a sustainable customer base.


What This Means If You Are Struggling Right Now

The data is reassuring at the population level but irrelevant at the individual level. If your restaurant is losing money, the aggregate survival rate does not change your situation. What matters is whether your specific problem is fixable.

The questions that determine that:

  1. Is your prime cost structurally above 65%, or is it a temporary spike?
  2. Is your lease obligation proportionate to your revenue capacity?
  3. Do you have a path to break-even that does not require a permanent increase in sales volume?
  4. Are you deferring a decision that is already made?

See Should I Close My Restaurant? A Practical Decision Guide for the full framework. If you want to work through your specific numbers with someone who has seen this situation before, the Diagnostic Call is a 90-minute session designed for exactly this.


Methodology Note

This article draws on three primary data sources: the U.S. Bureau of Labor Statistics Business Employment Dynamics (BED) data, the University of California, Berkeley / BLS research paper "Restaurant Mortality in the Western US" (2014), and the Datassential U.S. and Canada Operators database which tracks approximately 700,000 U.S. restaurants using verified closure data. Where sources conflict, this article presents the range and notes the methodology differences rather than selecting a single figure.


Related reading: What Does It Actually Cost to Close a Restaurant? | Sell vs. Close: How to Decide | The Restaurant Exit Checklist