---
# === IDENTITY ===
id: business/people-ops/hr-metrics-benchmarks/2026
canonical_question: "What are current HR benchmarks — time-to-fill, cost-per-hire, turnover rates, eNPS by industry?"
aliases:
  - "HR KPI benchmarks"
  - "human resources metrics benchmarks"
  - "time-to-fill benchmarks by industry"
  - "cost-per-hire benchmarks"
  - "employee turnover rate benchmarks"
  - "eNPS benchmarks by industry"
entity_type: benchmark
domain: business > people-ops > HR Metrics Benchmarks
region: global
jurisdiction: global
temporal_scope: 2025-2026

# === VERIFICATION ===
last_verified: 2026-03-10
confidence: 0.85
version: 1.0
first_published: 2026-03-10

# === TEMPORAL VALIDITY ===
temporal_validity:
  status: volatile
  last_breaking_change: "SHRM 2025 benchmarking report revealed median time-to-fill stabilized at 45 days while cost-per-hire divergence between executive and non-executive widened to 9x"
  next_review: 2026-09-06
  change_sensitivity: high
  data_vintage: "H1-H2 2025"

# === CONSTRAINTS ===
constraints:
  - "Benchmarks vary 2-4x across industries — healthcare turnover differs fundamentally from tech; never apply cross-industry"
  - "SHRM data is primarily US-centric; EMEA and APAC HR metrics differ significantly in methodology and labor market dynamics"
  - "Figures are medians unless stated; means are skewed by outliers in executive hiring and high-turnover industries"
  - "Self-reported survey data from SHRM and industry associations — subject to participation bias from larger, more sophisticated HR teams"
  - "Data vintage H1-H2 2025; rapid AI adoption in recruiting is shifting time-to-fill and cost-per-hire benchmarks"

# === SKIP CONDITIONS ===
skip_this_unit_if:
  - condition: "User needs a maturity assessment of their HR function, not benchmark data"
    use_instead: "business/people-ops/hr-tech-stack-assessment/2026"
  - condition: "User needs compensation-specific benchmarks (salary, benefits, equity)"
    use_instead: "business/people-ops/compensation-benefits-benchmarks/2026"
  - condition: "User needs talent acquisition process maturity evaluation"
    use_instead: "business/people-ops/talent-acquisition-maturity-assessment/2026"

# === AGENT HINTS ===
inputs_needed:
  - key: industry
    question: "Which industry applies?"
    type: choice
    options: ["Technology", "Healthcare", "Financial Services", "Manufacturing", "Retail", "Professional Services", "Nonprofit", "All industries"]
  - key: company_size
    question: "How many employees?"
    type: choice
    options: ["1-100", "101-500", "501-2,500", "2,500+"]
  - key: metric_focus
    question: "Which HR metrics are most relevant?"
    type: multi_select
    options: ["Recruiting (time-to-fill, cost-per-hire)", "Retention (turnover, eNPS)", "HR efficiency (HR-to-employee ratio)", "All metrics"]

# === DISTRIBUTION ===
canonical_source: "https://knowledgelib.io/business/people-ops/hr-metrics-benchmarks/2026"
suggested_citation: "Source: knowledgelib.io — AI Knowledge Library (verified 2026-03-10, data vintage: H1-H2 2025)"

# === RELATED UNITS ===
related_kos:
  referenced_by:
    - id: "business/people-ops/hr-tech-stack-assessment/2026"
      label: "Assessment card that evaluates HR technology against these benchmarks"
    - id: "business/people-ops/talent-acquisition-maturity-assessment/2026"
      label: "TA maturity assessment that references recruiting benchmarks"
  related_to:
    - id: "business/people-ops/compensation-benefits-benchmarks/2026"
      label: "Compensation benchmarks that complement workforce metrics"
    - id: "business/people-ops/employee-engagement-diagnostic/2026"
      label: "Engagement diagnostic that uses eNPS and turnover data"
  depends_on: []
  often_confused_with: []
  alternative_to: []

# === SOURCES ===
sources:
  - id: src1
    title: "SHRM 2025 Recruiting Executives Benchmarking Report"
    author: SHRM
    url: https://www.shrm.org/topics-tools/research/2025-recruiting-benchmarking
    type: primary_research
    published: 2025-06-01
    data_period: "2024-2025"
    sample_size: "2,400+ organizations across all industries"
    reliability: authoritative
  - id: src2
    title: "SHRM 2025 Human Capital Benchmarking Report"
    author: SHRM
    url: https://www.shrm.org/content/dam/en/shrm/research/benchmarking/Human%20Capital%20Report-TOTAL.pdf
    type: primary_research
    published: 2025-06-01
    data_period: "2024-2025"
    sample_size: "2,400+ organizations"
    reliability: authoritative
  - id: src3
    title: "eNPS Industry Benchmarks 2025"
    author: QuestionPro
    url: https://info.questionpro.com/enps-industry-benchmarks
    type: industry_report
    published: 2025-03-01
    data_period: "2024-2025"
    sample_size: "5,000+ organizations globally"
    reliability: high
  - id: src4
    title: "Gem 2025 Recruiting Benchmarks Report"
    author: Gem
    url: https://www.gem.com/resource/2025-recruiting-benchmarks
    type: primary_research
    published: 2025-04-01
    data_period: "2024-2025"
    sample_size: "140M+ applications, 1.3M hires"
    reliability: authoritative
  - id: src5
    title: "Employee Net Promoter Score: 2026 Ultimate Guide"
    author: AIHR
    url: https://www.aihr.com/blog/employee-net-promoter-score-enps/
    type: industry_report
    published: 2025-11-01
    data_period: "2024-2025"
    sample_size: "Industry aggregation"
    reliability: high
  - id: src6
    title: "2025 CHRO Benchmarking Data Brief"
    author: SHRM
    url: https://www.shrm.org/content/dam/en/shrm/topics-tools/research/chro-benchmarking-data-brief.pdf
    type: primary_research
    published: 2025-06-01
    data_period: "2024-2025"
    sample_size: "2,400+ organizations"
    reliability: authoritative
---

# HR Metrics Benchmarks 2026

## Summary

These benchmarks cover the core HR performance metrics across recruiting efficiency, workforce retention, employee engagement, and HR operational effectiveness. Data is sourced primarily from SHRM (2,400+ organizations), Gem (140M+ applications), and QuestionPro (5,000+ organizations globally). The most critical shift: while median time-to-fill has stabilized at 45 days, cost-per-hire disparity between executive and non-executive roles has widened to nearly 9x ($10,625 vs $1,200), and only 20% of organizations track quality-of-hire systematically. [src1]

**Data vintage**: Based on H1-H2 2025 data from SHRM benchmarking surveys and Gem recruiting platform analytics.
**Key shift**: Executive hiring costs surged while non-executive remained flat, and voluntary turnover median dropped to 9% across all industries as the labor market cooled from 2022-2023 peaks.

## Constraints
<!-- Agents: read before citing any benchmark number. -->

- These benchmarks represent primarily US-based organizations with structured HR functions. Do not apply to organizations without formal HR processes or to developing-market contexts without adjustment.
- Figures are medians unless stated. Means are skewed by high-turnover industries (hospitality, retail) and executive hiring outliers.
- SHRM data over-represents larger organizations (500+ employees). Companies under 100 employees should apply small-business adjustments (typically 20-30% higher costs, 15% longer fill times).
- Data collected H1-H2 2025. AI-powered recruiting tools are reducing time-to-fill by 15-25% at early adopters — benchmarks may shift within 6 months.
- Only compare organizations within the same industry row and size band. Cross-industry or cross-size comparison is misleading.

## Metric Category 1: Recruiting Efficiency

### Time-to-Fill

**Definition**: Calendar days from job requisition approval to candidate acceptance of offer. Includes sourcing, screening, interviewing, and offer stages. Excludes background check and onboarding time. [src1]

| Segment | Median | 25th Percentile | 75th Percentile | Top Decile |
|---------|--------|-----------------|-----------------|------------|
| All Industries | 45 days | 30 days | 65 days | 22 days |
| Technology | 42 days | 28 days | 58 days | 20 days |
| Healthcare | 49 days | 35 days | 72 days | 25 days |
| Financial Services | 47 days | 32 days | 68 days | 23 days |
| Manufacturing | 44 days | 30 days | 62 days | 21 days |
| Retail | 35 days | 22 days | 50 days | 15 days |
| Nonprofit | 52 days | 38 days | 75 days | 28 days |

**Trend**: Stabilized at 45 days median after rising 24% from 33 to 41 days between 2021-2024. AI screening tools are beginning to compress early-funnel timelines. [src4]
**Red flag threshold**: Time-to-fill > 70 days consistently = structural recruiting process problems or unrealistic hiring manager expectations.
**Action trigger**: If above 75th percentile, audit sourcing channels, interview panel bottlenecks, and offer approval workflows.

[src1, src4]

### Cost-per-Hire

**Definition**: Total internal and external recruiting costs divided by total hires in the period. Internal costs include recruiter salaries, HR technology, and employee referral bonuses. External costs include agency fees, job board postings, recruitment marketing, and background checks. [src1]

| Segment | Median | 25th Percentile | 75th Percentile | Top Decile |
|---------|--------|-----------------|-----------------|------------|
| Non-Executive (All) | $1,200 | $600 | $3,500 | $5,800 |
| Executive (All) | $10,625 | $5,000 | $28,000 | $45,000 |
| Technology (Non-Exec) | $1,800 | $900 | $4,200 | $7,500 |
| Healthcare (Non-Exec) | $1,500 | $700 | $3,800 | $6,200 |
| Financial Services | $2,100 | $1,000 | $5,500 | $9,000 |
| Retail (Non-Exec) | $800 | $350 | $2,200 | $3,800 |

**Trend**: Non-executive cost-per-hire flat YoY. Executive hiring costs up 12% due to increased use of retained search firms and longer fill times at the leadership level. [src1]
**Red flag threshold**: Cost-per-hire > 3x industry median without corresponding improvement in quality-of-hire signals waste in the recruiting funnel.
**Action trigger**: If above 75th percentile, evaluate agency spend, technology ROI, and internal recruiter capacity.

[src1, src2]

### Offer Acceptance Rate

**Definition**: Percentage of formal job offers accepted by candidates. Measures competitiveness of compensation, employer brand, and candidate experience quality. [src4]

| Segment | Median | 25th Percentile | 75th Percentile |
|---------|--------|-----------------|-----------------|
| All Industries | 84% | 75% | 92% |
| Technology | 81% | 72% | 89% |
| Healthcare | 86% | 78% | 93% |
| Financial Services | 83% | 74% | 91% |
| Retail | 88% | 80% | 95% |

**Red flag threshold**: Offer acceptance rate below 70% signals compensation misalignment, poor candidate experience, or brand issues.
**Action trigger**: Track decline reasons by category (compensation, counter-offer, timing, culture fit) to identify root cause.

[src4]

## Metric Category 2: Workforce Retention

### Annual Voluntary Turnover Rate

**Definition**: Total number of employees who voluntarily separated (resignations, retirements) within a 12-month period, divided by average headcount, expressed as a percentage. Excludes involuntary terminations, layoffs, and reductions in force. [src2]

| Segment | Median | 25th Percentile | 75th Percentile | Top Decile |
|---------|--------|-----------------|-----------------|------------|
| All Industries | 9% | 4% | 17% | 22% |
| Technology | 11% | 6% | 18% | 24% |
| Healthcare | 14% | 8% | 22% | 28% |
| Manufacturing | 10% | 5% | 16% | 20% |
| Financial Services | 8% | 4% | 14% | 18% |
| Retail | 18% | 10% | 30% | 40% |
| Nonprofit | 13% | 7% | 28% | 35% |

**Trend**: Down from 13% median in 2022 (Great Resignation peak) to 9% in 2025 as labor market rebalanced. Technology sector saw the sharpest decline. [src2]
**Red flag threshold**: Voluntary turnover > 20% in non-retail industries = critical retention problem requiring immediate intervention.
**Action trigger**: Segment turnover by tenure band (< 1 year vs 1-3 years vs 3+ years) to distinguish onboarding failures from mid-career attrition.

[src2]

### Annual Involuntary Turnover Rate

**Definition**: Total number of employees terminated by the organization (performance-based, layoffs, restructuring) divided by average headcount. Excludes voluntary separations. [src2]

| Segment | Median | 25th Percentile | 75th Percentile |
|---------|--------|-----------------|-----------------|
| All Industries | 3% | 1% | 8% |
| Technology | 4% | 2% | 9% |
| Healthcare | 3% | 1% | 7% |
| Manufacturing | 5% | 2% | 13% |
| Retail | 5% | 2% | 10% |
| Nonprofit | 3% | 0% | 8% |

**Red flag threshold**: Involuntary turnover > 10% outside of known restructuring events signals either poor hiring practices or inadequate performance management.
**Action trigger**: If involuntary exceeds voluntary turnover, investigate hiring quality and onboarding effectiveness.

[src2]

## Metric Category 3: Employee Engagement

### Employee Net Promoter Score (eNPS)

**Definition**: Based on the question "How likely are you to recommend this company as a place to work?" (0-10 scale). Promoters (9-10) minus Detractors (0-6) as a percentage. Passives (7-8) are excluded from the calculation. Score ranges from -100 to +100. [src3]

| Segment | Median | 25th Percentile | 75th Percentile | Top Decile |
|---------|--------|-----------------|-----------------|------------|
| All Industries | 14 | -2 | 32 | 50 |
| Technology | 28 | 12 | 45 | 62 |
| Healthcare | 8 | -8 | 22 | 38 |
| Financial Services | 18 | 4 | 34 | 48 |
| Manufacturing | 22 | 8 | 35 | 45 |
| Retail | 12 | -5 | 25 | 38 |
| Information | 30 | 10 | 45 | 58 |

**Trend**: Overall eNPS has risen from 10 to 14 over the past two years as organizations invest in employee experience. Technology and information sectors lead; healthcare lags due to burnout-driven detractor scores. [src3, src5]
**Red flag threshold**: eNPS below 0 = more detractors than promoters, indicating systemic engagement problems requiring immediate attention.
**Action trigger**: If eNPS < 10, run a full employee engagement diagnostic to identify specific drivers. If eNPS drops > 10 points quarter-over-quarter, investigate for triggering events.

[src3, src5]

### Engagement Survey Participation Rate

**Definition**: Percentage of eligible employees who complete the engagement survey. Low participation undermines data validity and may itself signal disengagement. [src3]

| Segment | Median | Healthy Range | Alarm Threshold |
|---------|--------|---------------|-----------------|
| All Industries | 72% | 70-85% | Below 60% |
| Technology | 78% | 75-90% | Below 65% |
| Healthcare | 65% | 60-80% | Below 50% |
| Retail | 58% | 55-75% | Below 45% |

**Red flag threshold**: Participation below 60% means survey results are unreliable and likely biased toward either highly satisfied or highly dissatisfied employees.
**Action trigger**: If below threshold, address survey fatigue, anonymity concerns, and leadership communication about survey purpose.

[src3]

## Metric Category 4: HR Operational Efficiency

### HR-to-Employee Ratio

**Definition**: Number of full-time HR professionals per 100 employees. Includes all HR staff (generalists, specialists, recruiters, L&D, comp/ben) but excludes outsourced HR functions and shared services. [src6]

| Segment | Median | 25th Percentile | 75th Percentile |
|---------|--------|-----------------|-----------------|
| All Industries | 1.4:100 | 1.0:100 | 2.4:100 |
| 1-250 employees | 2.6:100 | 1.5:100 | 3.8:100 |
| 251-1,000 employees | 1.5:100 | 1.0:100 | 2.2:100 |
| 1,001-5,000 employees | 1.2:100 | 0.8:100 | 1.7:100 |
| 5,000+ employees | 1.0:100 | 0.7:100 | 1.4:100 |

**Trend**: Ratio has decreased from 1.6:100 to 1.4:100 over two years as HR technology automates administrative tasks. AI-powered HR tools are expected to further reduce this to 1.1-1.2:100 by 2027. [src6]
**Red flag threshold**: HR ratio below 0.7:100 in organizations > 500 employees = likely under-resourced HR function. Above 3.0:100 in organizations > 250 employees = potential inefficiency.
**Action trigger**: Benchmark against industry and size peers before making staffing decisions. Lower ratio is not always better — it may signal under-investment.

[src6]

## Composite Metrics & Rules of Thumb

| Rule | Formula / Threshold | Interpretation |
|------|--------------------|----------------|
| Recruiting Efficiency Index | (Quality-of-Hire Score x Offer Acceptance Rate) / (Cost-per-Hire x Time-to-Fill) | Higher = more efficient recruiting function; compare within industry only |
| Turnover Cost Multiplier | Replacement cost = 0.5x-2.0x annual salary (varies by role seniority) | Use 0.5x for entry-level, 1.0x for mid-level, 2.0x for senior/executive |
| Engagement-Retention Correlation | eNPS > 30 correlates with 25% lower voluntary turnover | High eNPS is a leading indicator of retention; low eNPS is a 6-month lagging indicator of turnover spikes |
| HR Spend per Employee | Median $2,500-$3,500 per employee per year (all HR costs) | Below $1,500 signals under-investment; above $5,000 signals inefficiency or high-touch service model |

**Constraint**: Recruiting Efficiency Index is only meaningful when quality-of-hire is tracked consistently (only 20% of organizations do this). Turnover cost multipliers vary significantly by industry — use healthcare-specific or tech-specific multipliers when available. [src1, src2]

## Segment Definitions

| Segment | Definition | Typical Characteristics |
|---------|-----------|----------------------|
| Small (1-100) | Under 100 total employees | 0-2 HR staff, founder-led HR, manual processes, outsourced payroll |
| Mid-Size (101-500) | 101-500 total employees | 2-8 HR staff, HRIS deployed, formal recruiting process, emerging people analytics |
| Large (501-2,500) | 501-2,500 total employees | 8-30 HR staff, full HR tech stack, dedicated CoEs (compensation, L&D, TA), data-driven HR |
| Enterprise (2,500+) | Over 2,500 total employees | 30+ HR staff, global HRIS, shared services center, advanced analytics, executive HR business partners |

## Year-over-Year Trend Summary

| Metric | 2023 | 2024 | 2025 | Direction |
|--------|------|------|------|-----------|
| Time-to-Fill (median, days) | 44 | 46 | 45 | Flat (stabilized) |
| Cost-per-Hire (non-exec median) | $1,100 | $1,150 | $1,200 | Up 4.5% YoY |
| Cost-per-Hire (exec median) | $8,200 | $9,500 | $10,625 | Up 12% YoY |
| Voluntary Turnover (all industries) | 11% | 10% | 9% | Down 10% YoY |
| eNPS (all industries) | 10 | 12 | 14 | Up 17% YoY |
| HR-to-Employee Ratio | 1.6:100 | 1.5:100 | 1.4:100 | Down 7% YoY |
| Offer Acceptance Rate | 82% | 83% | 84% | Up 1.2% YoY |

[src1, src2, src3]

## Common Misinterpretations

- **Comparing time-to-fill across industries without context**: A 45-day fill time is excellent for enterprise software engineering roles but mediocre for retail store associates. Always compare within the same job family and industry segment. [src1]
- **Treating low voluntary turnover as universally positive**: Very low turnover (below 5%) in knowledge-work industries may indicate a stagnant workforce with insufficient performance management. Some healthy turnover (8-12%) enables talent refresh and prevents cultural ossification. [src2]
- **Using eNPS as a standalone engagement metric**: eNPS is a lagging, single-question indicator. A score of 30 does not mean the organization is healthy — it may mask pockets of severe disengagement in specific teams or functions. Always pair with driver analysis. [src5]
- **Applying all-industry medians as targets**: Median means half of organizations are below this number. Use 75th percentile for ambitious targets and median only for sanity checks. Industry-specific benchmarks should always take precedence over cross-industry aggregates. [src2]

## When This Matters

Fetch when a user asks about HR industry benchmarks, wants to evaluate their HR metrics against peers, is building an HR budget or business case for HR technology investment, or needs to set HR KPI targets for the organization.

## Related Units

- [HR Tech Stack Assessment](/business/people-ops/hr-tech-stack-assessment/2026)
- [Compensation & Benefits Benchmarks](/business/people-ops/compensation-benefits-benchmarks/2026)
- [Talent Acquisition Maturity Assessment](/business/people-ops/talent-acquisition-maturity-assessment/2026)
- [Employee Engagement Diagnostic](/business/people-ops/employee-engagement-diagnostic/2026)