Global Benefits Benchmarking Calculator
ANA›Life Services Authority›National Calculator Authority›Global Benefits Benchmarking Calculator
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Global Benefits Benchmarking Calculator
Compare your organization's employee benefits spend and coverage against global benchmarks. Enter your current benefits data to see how you stack up against industry standards and identify gaps.
### Organization Profile
Number of Employees
Average Annual Salary (USD)
Primary Region
North America Western Europe Eastern Europe Asia Pacific Latin America Middle East & Africa
Industry
Technology Finance & Banking Healthcare Manufacturing Retail & Consumer Professional Services Authority Other
### Health & Wellness Benefits
Annual Health Insurance Spend per Employee (USD)
Employer Health Premium Coverage (%)
Dental Coverage Included?
Yes No
Vision Coverage Included?
Yes No
Mental Health / EAP Program?
Yes No
Annual Wellness Stipend per Employee (USD)
### Retirement & Financial Benefits
Employer Retirement Match (%)
Vesting Period (Years)
Life Insurance (x Annual Salary)
Long-Term Disability Coverage?
Yes No
### Leave & Time-Off Benefits
Annual PTO / Vacation Days
Annual Sick Leave Days
Paid Parental Leave (Weeks)
Flexible / Remote Work Policy?
Fully Flexible / Remote Hybrid On-site Only
### Learning & Development
Annual L&D Budget per Employee (USD)
Tuition Reimbursement?
Yes No
Calculate Benchmark Score
function gloBenchmark() { // --- Inputs --- const employees = parseFloat(document.getElementById('glo-employees').value); const avgSalary = parseFloat(document.getElementById('glo-avg-salary').value); const region = document.getElementById('glo-region').value; const industry = document.getElementById('glo-industry').value; const healthSpend = parseFloat(document.getElementById('glo-health-spend').value) || 0; const healthCov = parseFloat(document.getElementById('glo-health-coverage').value) || 0; const dental = parseInt(document.getElementById('glo-dental').value); const vision = parseInt(document.getElementById('glo-vision').value); const mentalHealth = parseInt(document.getElementById('glo-mental-health').value); const wellnessSpend = parseFloat(document.getElementById('glo-wellness-spend').value) || 0; const retMatch = parseFloat(document.getElementById('glo-retirement-match').value) || 0; const retVest = parseFloat(document.getElementById('glo-retirement-vest').value) || 0; const lifeIns = parseFloat(document.getElementById('glo-life-insurance').value) || 0; const disability = parseInt(document.getElementById('glo-disability').value); const ptoDays = parseFloat(document.getElementById('glo-pto-days').value) || 0; const sickDays = parseFloat(document.getElementById('glo-sick-days').value) || 0; const parentalLeave = parseFloat(document.getElementById('glo-parental-leave').value) || 0; const flexWork = parseInt(document.getElementById('glo-flexible-work').value); const ldSpend = parseFloat(document.getElementById('glo-ld-spend').value) || 0; const tuition = parseInt(document.getElementById('glo-tuition').value);
// --- Validation --- if (!employees || employees 100) { alert('Health coverage % must be between 0 and 100.'); return; } if (retMatch 100) { alert('Retirement match % must be between 0 and 100.'); return; } if (ptoDays 365) { alert('PTO days must be between 0 and 365.'); return; }
// --- Regional Benchmarks (based on Mercer, Willis Towers Watson, SHRM global surveys) --- // Format: { healthSpend, healthCov, retMatch, ptoDays, sickDays, parentalLeave, ldSpend, wellnessSpend } const regionBenchmarks = { north_america: { healthSpend: 9000, healthCov: 80, retMatch: 4.5, ptoDays: 15, sickDays: 8, parentalLeave: 12, ldSpend: 1500, wellnessSpend: 600 }, western_europe: { healthSpend: 4000, healthCov: 90, retMatch: 6.0, ptoDays: 25, sickDays: 15, parentalLeave: 26, ldSpend: 1800, wellnessSpend: 500 }, eastern_europe: { healthSpend: 1500, healthCov: 85, retMatch: 3.5, ptoDays: 20, sickDays: 12, parentalLeave: 18, ldSpend: 900, wellnessSpend: 200 }, asia_pacific: { healthSpend: 3000, healthCov: 75, retMatch: 5.0, ptoDays: 14, sickDays: 10, parentalLeave: 16, ldSpend: 1200, wellnessSpend: 400 }, latin_america: { healthSpend: 2500, healthCov: 80, retMatch: 4.0, ptoDays: 15, sickDays: 12, parentalLeave: 17, ldSpend: 800, wellnessSpend: 300 }, middle_east_africa: { healthSpend: 3500, healthCov: 85, retMatch: 3.0, ptoDays: 21, sickDays: 10, parentalLeave: 14, ldSpend: 1000, wellnessSpend: 350 } };
// --- Industry multipliers on total benefits spend (Aon, Mercer data) --- const industryMultiplier = { technology: 1.25, finance: 1.20, healthcare: 1.15, manufacturing: 0.95, retail: 0.85, professional_services:1.10, other: 1.00 };
const bench = regionBenchmarks[region]; const indMult = industryMultiplier[industry];
// Adjust benchmarks for industry const adjHealthSpend = bench.healthSpend * indMult; const adjLdSpend = bench.ldSpend * indMult; const adjWellnessSpend = bench.wellnessSpend * indMult;
// --- Scoring System (100 points total across 5 categories) --- // Each category scored 0-20, then summed for total out of 100
// 1. HEALTH & WELLNESS (20 pts) // Health spend score (0-8): ratio of actual to benchmark, capped at 1.2x const healthSpendRatio = Math.min(healthSpend / adjHealthSpend, 1.2); const healthSpendScore = healthSpendRatio * 5; // Coverage % score (0-5) const healthCovScore = Math.min(healthCov / bench.healthCov, 1.2) * 4; // Supplemental benefits (0-7): dental(2) + vision(1.5) + mental(2) + wellness(1.5) const wellnessRatio = Math.min(wellnessSpend / adjWellnessSpend, 1.2); const healthSupScore = dental * 2 + vision * 1.5 + mentalHealth * 2 + wellnessRatio * 1.5; const healthTotal = Math.min(healthSpendScore + healthCovScore + healthSupScore, 20);
// 2. RETIREMENT & FINANCIAL (20 pts) // Match score (0-10) const retMatchRatio = Math.min(retMatch / bench.retMatch, 1.2); const retMatchScore = retMatchRatio * 10; // Vesting score (0-4): shorter vesting = better; benchmark = 3 years const vestScore = retVest = 85) { rating = 'World-Class'; ratingColor = '#27ae60'; ratingDesc = 'Your benefits package significantly exceeds global benchmarks. You are a top-tier employer of choice.'; } else if (totalScore >= 70) { rating = 'Above Benchmark'; ratingColor = '#2980b9'; ratingDesc = 'Your benefits package is competitive and above regional/industry benchmarks in most areas.'; } else if (totalScore >= 55) { rating = 'At Benchmark'; ratingColor = '#f39c12'; ratingDesc = 'Your benefits package meets regional benchmarks but has room for improvement in key areas.'; } else if (totalScore >= 40) { rating = 'Below Benchmark'; ratingColor = '#e67e22'; ratingDesc = 'Your benefits package falls below regional benchmarks. Targeted improvements are recommended.'; } else { rating = 'Significantly Below Benchmark'; ratingColor = '#e74c3c'; ratingDesc = 'Your benefits package is significantly below benchmarks. Immediate review is strongly recommended.'; }
// --- Gap Analysis --- const healthGap = Math.max(0, adjHealthSpend - healthSpend); const retGap = Math.max(0, bench.retMatch - retMatch); const ptoGap = Math.max(0, bench.ptoDays - ptoDays); const parentalGap = Math.max(0, bench.parentalLeave - parentalLeave); const ldGap = Math.max(0, adjLdSpend - ldSpend);
// --- Total Annual Benefits Cost --- const totalAnnualCost = totalBenefitsCostPerEmp * employees;
// --- Format helpers --- const fmt = (n, d=0) => n.toLocaleString('en-US', {minimumFractionDigits:d, maximumFractionDigits:d}); const fmtUSD = (n) => '$' + fmt(n, 0); const fmtPct = (n) => n.toFixed(1) + '%'; const scoreBar = (score, max=20) => { const pct = Math.min((score/max)*100, 100).toFixed(1); const color = pct >= 80 ? '#27ae60' : pct >= 60 ? '#2980b9' : pct >= 40 ? '#f39c12' : '#e74c3c'; return '' + ''; };
// --- Output --- const regionLabel = { north_america:'North America', western_europe:'Western Europe', eastern_europe:'Eastern Europe', asia_pacific:'Asia Pacific', latin_america:'Latin America', middle_east_africa:'Middle East & Africa' }[region];
const industryLabel = { technology:'Technology', finance:'Finance & Banking', healthcare:'Healthcare', manufacturing:'Manufacturing', retail:'Retail & Consumer', professional_services:'Professional Services', other:'Other' }[industry];
document.getElementById('glo-result').style.display = 'block'; document.getElementById('glo-result').innerHTML = ` ### Global Benefits Benchmarking Results
Region: ${regionLabel} | Industry: ${industryLabel} | Employees: ${fmt(employees)}
${totalScore.toFixed(1)}/100 ${rating} ${ratingDesc}
#### Category Scores
Category Score Max %
Health & Wellness ${healthTotal.toFixed(1)} 20 ${fmtPct(healthTotal/20100)} Retirement & Financial ${retTotal.toFixed(1)} 20 ${fmtPct(retTotal/20100)} Leave & Time-Off ${leaveTotal.toFixed(1)} 20 ${fmtPct(leaveTotal/20100)} Learning & Development ${ldTotal.toFixed(1)} 20 ${fmtPct(ldTotal/20100)} Cost Competitiveness ${costTotal.toFixed(1)} 20 ${fmtPct(costTotal/20*100)}
Total ${totalScore.toFixed(1)} 100 ${fmtPct(totalScore)}
#### Benefits Cost Summary
Metric Your Organization Regional Benchmark
Total Benefits Cost / Employee / Year ${fmtUSD(totalBenefitsCostPerEmp)} ${fmtUSD(benchTotalCost)} Benefits as % of Salary ${fmtPct(benefitsPctSalary)} ${fmtPct(benchPctSalary)} Total Annual Benefits Spend (All Employees) ${fmtUSD(totalAnnualCost)} ${fmtUSD(benchTotalCost * employees)}
#### Gap Analysis & Recommendations
Benefit Area Your Value Benchmark Gap Status
Health Spend/Employee ${fmtUSD(healthSpend)} ${fmtUSD(adjHealthSpend)} ${healthGap > 0 ? '-' + fmtUSD(healthGap) : '✓'} ${healthGap > 0 ? 'Below' : 'Met'} Retirement Match ${fmtPct(retMatch)} ${fmtPct(bench.retMatch)} ${retGap > 0 ? '-' + fmtPct(retGap) : '✓'} ${retGap > 0 ? 'Below' : 'Met'} PTO Days ${fmt(ptoDays)} days ${fmt(bench.ptoDays)} days ${ptoGap > 0 ? '-' + fmt(ptoGap) + ' days' : '✓'} ${ptoGap > 0 ? 'Below' : 'Met'} Parental Leave ${fmt(parentalLeave)} wks ${fmt(bench.parentalLeave)} wks ${parentalGap > 0 ? '-' + fmt(parentalGap) + ' wks' : '✓'} ${parentalGap > 0 ? 'Below' : 'Met'} L&D Spend/Employee ${fmtUSD(ldSpend)} ${fmtUSD(adjLdSpend)} ${ldGap > 0 ? '-' + fmtUSD(ldGap) : '✓'} ${ldGap > 0 ? 'Below' : 'Met'}
${totalScore ⚠ Priority Improvement Areas:
${healthTotal : ''};
}
#### Formula
Total Benchmark Score (0–100) = Health & Wellness Score + Retirement & Financial Score + Leave & Time-Off Score + Learning & Development Score + Cost Competitiveness Score
Each category is scored out of 20 points:
- Health & Wellness (20 pts): Health Spend Score (0–5) + Coverage % Score (0–4) + Supplemental Benefits Score (0–7) + Wellness Stipend Score (0–1.5) + Mental Health Score (0–2)
- Retirement & Financial (20 pts): Match Score = min(Actual Match / Benchmark Match, 1.2) × 10 + Vesting Score (0–4, shorter = better) + Life Insurance Score (0–3) + Disability Score (0–3)
- Leave & Time-Off (20 pts): PTO Score (0–7) + Sick Leave Score (0–4) + Parental Leave Score (0–6) + Flexible Work Score (0–3)
- L&D (20 pts): L&D Spend Score = min(Actual / Benchmark, 1.3) × 14 + Tuition Reimbursement (0–6)
- Cost Competitiveness (20 pts): Based on ratio of total benefits cost per employee to regional benchmark; 80–120% of benchmark = full 20 pts
Total Benefits Cost per Employee = Health Spend + Wellness Spend + L&D Spend + (Salary × Retirement Match%) + Life Insurance Premium (≈ 0.3% × Coverage Multiple × Salary) + LTD Premium (≈ 1% of Salary if offered)
Benefits as % of Salary = Total Benefits Cost per Employee / Average Annual Salary × 100
Regional benchmarks are adjusted by industry multipliers (Technology: 1.25×, Finance: 1.20×, Healthcare: 1.15×, Professional Services: 1.10×, Manufacturing: 0.95×, Retail: 0.85×).
#### Assumptions & References
- Regional benchmarks are derived from Mercer's Global Benefits Survey, Willis Towers Watson Global Benefits Attitudes Survey, and Aon's Benefits & Trends Survey.
- Industry multipliers reflect relative benefits competitiveness based on SHRM Benefits Survey and Bureau of Labor Statistics Employer Costs for Employee Compensation (ECEC) data.
- North America health benchmark (~$9,000/employee/year) aligns with KFF Employer Health Benefits Survey 2023 average employer contribution.
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