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Why Most Bars Fail, and Why the Statistics Are Not Reliable

We are not opening with a failure rate, because the ones in circulation cannot be sourced.

Matty HerreraBy Matty Herrera, Founder & CEO, Delta Kinetics

Published Updated

Delta Kinetics title card for the article Why Most Bars Fail, and Why the Statistics Are Not Reliable
On this page
  1. Key takeaways
  2. Why are bar failure numbers unreliable?
  3. What can we say with more confidence?
  4. What actually reduces the risk
  5. The honest summary
  6. Frequently asked questions
  7. Sources

Key takeaways

  • The BLS survival table used here gives no national bar-only failure rate, and 34.4 percent of 2013 accommodation and food services establishments had closed three years later.
  • Confident figures like sixty percent in the first year are repeated widely, usually without a traceable bar-specific source.
  • Failure rates are hard to measure because closure is not failure, the denominator moves, and surveys only reach venues still trading.
  • Four mechanisms recur: the business is a person, margin leaks faster than it is measured, knowledge leaves continuously, and growth exposes what was never written down.
  • The common factor is a business that cannot see itself quickly enough to correct while correction is still cheap.

Frequently asked questions

What percentage of bars fail?

The published federal survival series does not give a national bar-only answer. In the Bureau of Labor Statistics 2013 cohort, 65.6 percent of accommodation and food services establishments were still operating in 2016, leaving 34.4 percent no longer operating. That category includes restaurants and lodging, and a closure is not necessarily a failure, so it would be misleading to call it the bar failure rate.

Is it true that most bars fail in their first year?

Figures like sixty percent in the first year or eighty percent within five get repeated across trade press, vendor blogs and business advice sites, usually without a traceable bar-specific source. The article does not substitute one of them for a measurement. Be suspicious of anyone who leads with a confident percentage, including anyone selling you software.

Why are bar failure statistics unreliable?

A venue that closes because the lease ended, the owner retired or it was sold appears in the same column as one that ran out of money. Counting failures also needs an agreed count of how many bars existed, and the category has no agreed boundary. Surveys reach operators who are still trading, not the ones who closed.

What actually causes bars to close?

The article argues four mechanisms recur, labelled as argument rather than measurement. The standard is held by one person, margin leaks faster than monthly reporting can show, institutional knowledge leaves with every departure, and a second site exposes standards that were never written down.

How can a bar owner reduce the risk?

Shorten the loop so the business sees itself while correction is still cheap. A disciplined operator with point of sale exports and a weekly hour can do most of it. Tooling helps by removing the weekly assembly step so the routine survives past week four, but it does not supply the judgement.

Sources

  1. U.S. Bureau of Labor Statistics: business establishments born in 2013 still operating
  2. Delta Kinetics research programme: guest reviews across Texas venues, and the method
  3. Delta Kinetics case study: staff turnover reduction