# Employee No-Show Statistics (2026): Rates, Costs, Causes Employee no-show statistics for 2026: absenteeism rates by industry, annual employer costs, root causes, and what the data says reduces no-shows. Source: https://turnozo.com/blog/employee-no-show-statistics Published: 2026-02-12 Updated: 2026-04-07 Category: industry Tags: statistics, no-shows, absenteeism, data, shift-work This page compiles the most important statistics on employee no-shows and absenteeism, sourced from government data, academic research, and industry reports. We update it regularly. ![Employee no-show statistics infographic showing a shift coverage board, no-show ripple effects, absence rates, and cost benchmarks](/blog/employee-no-show-statistics-infographic.jpg) Bookmark this page. Every stat is cited with its original source. > **No Show Chart: No-Show Cost Calculator:** Interactive element available in the full article. --- ## Why employees are absent ### Top reasons for unplanned absences 1. **Personal illness**. accounts for ~69% of all absences (BLS: 2.2% illness rate out of 3.2% total) 2. **Family responsibilities**. childcare, eldercare, family emergencies 3. **Personal needs**. appointments, errands, car trouble 4. **Stress and [burnout](/blog/employee-burnout-statistics)**. Increasingly cited in post-pandemic surveys, especially on teams with unstable shift patterns and poor rest windows. See the broader [shift work statistics](/blog/shift-work-statistics) for the fatigue side of the problem 5. **Disengagement**. employees who don't feel valued are more likely to call out ### The Monday/Friday effect Employers consistently report higher absence rates on Mondays and Fridays, as well as before public holidays and major sporting events. This pattern suggests a portion of absenteeism is discretionary rather than illness-driven. If that pattern sounds familiar, the operational fix is usually not another warning. It is a better mix of [attendance policy](/blog/create-shift-swap-policy), earlier schedules, and cleaner backup coverage. _Source: SHRM Annual Survey on Employee Benefits and Absenteeism_ --- ## Absenteeism by day of week While the BLS doesn't publish day-of-week breakdowns, multiple employer surveys confirm: - **Monday** has the highest absence rate (~40% above average) - **Friday** has the second highest - **Tuesday–Thursday** have the lowest rates - **Day after Super Bowl** sees a significant spike. an estimated 17.5 million US workers missed work the Monday after Super Bowl LVIII (2024) _Sources: Kronos Workforce Institute; The Workforce Institute at UKG_ --- ## Industry-specific no-show data ### Restaurant industry - Average annual turnover rate: **79.6%** over the past decade _(Toast/BLS)_ - Food preparation & serving absence rate: **3.8%** _(BLS, 2024)_ - Quit rate in accommodation & food services: **3.9%** as of 2024, down from peak of **5.8%** in 2021-2022 _(BLS JOLTS)_ - Labor costs typically represent **25–35%** of restaurant revenue If you run restaurants, this page pairs best with our deeper breakdowns on [restaurant staffing statistics](/blog/restaurant-staffing-statistics) and [how to reduce no-shows and call-outs](/blog/reduce-no-shows-and-callouts), because the cost of an empty shift is rarely just the missing hours. ### Retail - Sales & related occupations absence rate: **3.0%** _(BLS, 2024)_ - Office & admin support (including retail back-office): **3.9%** _(BLS, 2024)_ - Holiday season no-show rates spike significantly. some retailers report 2-3x normal rates in November-December ### Healthcare - Healthcare support absence rate: **4.3%**. the highest of any occupation _(BLS, 2024)_ - Healthcare practitioners: **3.5%** _(BLS, 2024)_ - Lost worktime rate in healthcare support: **2.3%**. meaning workers lose 2.3% of their scheduled hours _(BLS, 2024)_ ### Cleaning & maintenance - Building & grounds cleaning absence rate: **4.0%** _(BLS, 2024)_ - Illness/injury accounts for **3.1%**. the highest illness-driven absence of any occupation - Multi-site cleaning businesses face compounding issues: a no-show at one site requires reassigning from another --- ## What reduces absenteeism ### Scheduling software impact - Companies using attendance tracking software report **~20% reduction** in absence rates _(TeamSense/industry surveys)_ - Automated shift reminders reduce no-shows by **15–20%** _(multiple scheduling software providers)_ ### Other interventions - **Flexible scheduling**. allowing shift swaps reduces unplanned absences by giving employees alternatives to calling out - **2-week advance scheduling**. employees with more notice have fewer conflicts - **Return-to-work interviews**. simply asking about an absence reduces future occurrences - **Progressive discipline**. clear policies reduce chronic absenteeism, but punishing callouts the same as no-shows backfires The pages worth reading next depend on what is broken in your operation. If you are firefighting last-minute gaps, start with [how to handle last-minute shift changes](/blog/how-to-handle-last-minute-shift-changes). If one missing person keeps wrecking the day, read [if one call-out breaks your day, you have a staffing problem](/blog/one-callout-breaks-your-day-staffing-problem). If the issue is chronic unreliability, go deeper on [the real cost of employee no-shows](/blog/real-cost-of-employee-no-shows). --- ## Overtime and coverage costs - **Almost 50% of overtime** is used specifically to cover employee absences _(Circadian)_ - The estimated **loss of productivity** from unplanned absences reaches nearly **40%**. the absent worker's tasks don't fully get done even with coverage _(Circadian)_ - **More than half** of large employers (1,000+ employees) still use manual or no systematic process to manage absenteeism _(SHRM)_ --- > **Quiz: What is actually driving your no-shows?:** Interactive element available in the full article. > **WARNING:** > Treating every absence like a discipline problem is lazy management. Some > no-shows come from weak policy. Others come from bad schedules and zero backup > coverage. Mix them together and you fix nothing. ## How to use these statistics If you manage shift-based employees, here's what this data means for you: 1. **Benchmark your team.** If your absence rate is consistently above 3.2% (the national average), you have a systemic issue, not just bad luck. 2. **Calculate your real cost.** Use the $3,600/hourly worker/year figure as a starting point, then multiply by your team size. 3. **Focus on your industry.** If you're in food service (3.8%), healthcare (4.3%), or cleaning (4.0%), expect above-average challenges. 4. **Invest in prevention.** A 20% reduction from scheduling software on a 20-person team saves roughly €7,000–11,000/year. --- ## Sources All statistics on this page are sourced from: - **Bureau of Labor Statistics (BLS)**. [Table 47: Absences from work, 2024 Annual Averages](https://www.bls.gov/cps/cpsaat47.htm) - **CDC Foundation**. [Worker Illness and Injury Costs US Employers $225.8 Billion Annually](https://www.cdcfoundation.org/pr/2015/worker-illness-and-injury-costs-us-employers-225-billion-annually) - **Circadian**. "Absenteeism: The Bottom-Line Killer" (workforce research report) - **SHRM**. Society for Human Resource Management annual surveys - **Toast / BLS**. Restaurant industry turnover data - **The Workforce Institute at UKG**. Day-of-week and event-based absence patterns _Last updated: February 2026. We review and update this page quarterly._ --- No-shows are a scheduling problem at their core. Our [complete scheduling guide](/blog/employee-scheduling-guide) covers how to build schedules that minimize them. > **Turnozo CTA:** > No-shows get expensive when schedules are late, swaps are messy, and managers > are stuck covering gaps by text. Turnozo helps small teams schedule faster and > react without chaos.