Payscale Calculator: Estimate Your Salary Range | [Your Brand]
:root {
–primary-color: #004a99;
–success-color: #28a745;
–background-color: #f8f9fa;
–text-color: #333;
–border-color: #ddd;
–shadow-color: rgba(0, 0, 0, 0.1);
}
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background-color: var(–background-color);
color: var(–text-color);
line-height: 1.6;
margin: 0;
padding: 0;
display: flex;
flex-direction: column;
align-items: center;
}
.container {
width: 100%;
max-width: 960px;
margin: 20px auto;
padding: 20px;
background-color: #fff;
border-radius: 8px;
box-shadow: 0 2px 10px var(–shadow-color);
display: flex;
flex-direction: column;
align-items: center;
}
h1, h2, h3 {
color: var(–primary-color);
text-align: center;
margin-bottom: 20px;
}
h1 {
font-size: 2.5em;
margin-bottom: 10px;
}
h2 {
font-size: 1.8em;
border-bottom: 2px solid var(–primary-color);
padding-bottom: 10px;
margin-top: 30px;
}
h3 {
font-size: 1.4em;
margin-top: 25px;
color: var(–primary-color);
}
.main-summary {
font-size: 1.1em;
text-align: center;
margin-bottom: 30px;
color: #555;
}
.calculator-section {
width: 100%;
background-color: #fff;
padding: 25px;
border-radius: 8px;
box-shadow: 0 2px 10px var(–shadow-color);
margin-bottom: 30px;
}
.input-group {
margin-bottom: 20px;
width: 100%;
}
.input-group label {
display: block;
margin-bottom: 8px;
font-weight: bold;
color: var(–primary-color);
}
.input-group input[type="text"],
.input-group input[type="number"],
.input-group select {
width: calc(100% – 22px);
padding: 12px 10px;
border: 1px solid var(–border-color);
border-radius: 5px;
font-size: 1em;
box-sizing: border-box;
}
.input-group input[type="number"] {
appearance: textfield; /* Hide spinners for number inputs */
}
.input-group select {
cursor: pointer;
}
.input-group .helper-text {
font-size: 0.85em;
color: #666;
margin-top: 5px;
display: block;
}
.error-message {
color: #dc3545;
font-size: 0.9em;
margin-top: 5px;
display: none; /* Hidden by default */
height: 1.2em; /* Reserve space */
}
.error-message.visible {
display: block;
}
.button-group {
display: flex;
justify-content: center;
gap: 15px;
margin-top: 25px;
flex-wrap: wrap;
}
button {
padding: 12px 25px;
border: none;
border-radius: 5px;
cursor: pointer;
font-size: 1em;
font-weight: bold;
transition: background-color 0.3s ease, transform 0.2s ease;
color: white;
min-width: 150px;
}
button.primary {
background-color: var(–primary-color);
}
button.primary:hover {
background-color: #003366;
transform: translateY(-2px);
}
button.success {
background-color: var(–success-color);
}
button.success:hover {
background-color: #218838;
transform: translateY(-2px);
}
button.reset {
background-color: #6c757d;
}
button.reset:hover {
background-color: #5a6268;
transform: translateY(-2px);
}
button:active {
transform: translateY(0);
}
#results {
margin-top: 30px;
padding: 25px;
border: 1px solid var(–border-color);
border-radius: 8px;
background-color: #eef7ff; /* Light primary background */
display: none; /* Hidden by default */
width: 100%;
box-sizing: border-box;
}
#results.visible {
display: block;
}
#results h3 {
margin-top: 0;
color: var(–primary-color);
}
#primary-result {
font-size: 2em;
font-weight: bold;
color: var(–primary-color);
text-align: center;
margin-bottom: 15px;
padding: 15px;
background-color: #ffffff; /* White background for highlight */
border-radius: 5px;
border: 2px solid var(–primary-color);
display: inline-block; /* Allow it to size to content */
width: auto; /* Adjust width as needed */
}
.intermediate-results, .key-assumptions {
margin-top: 20px;
font-size: 1.05em;
text-align: left;
}
.intermediate-results p, .key-assumptions p {
margin-bottom: 10px;
}
.intermediate-results p strong, .key-assumptions p strong {
color: var(–primary-color);
min-width: 200px; /* Ensure alignment */
display: inline-block;
}
.formula-explanation {
margin-top: 20px;
font-size: 0.95em;
color: #555;
text-align: left;
padding: 15px;
background-color: #f0f0f0;
border-left: 4px solid var(–primary-color);
border-radius: 4px;
}
.formula-explanation strong {
color: var(–primary-color);
}
table {
width: 100%;
border-collapse: collapse;
margin-top: 20px;
overflow-x: auto; /* Make tables horizontally scrollable */
display: block; /* Needed for overflow-x */
white-space: nowrap; /* Prevent content wrapping */
}
th, td {
padding: 10px 15px;
border: 1px solid var(–border-color);
text-align: left;
}
thead {
background-color: var(–primary-color);
color: white;
}
th {
font-weight: bold;
}
tbody tr:nth-child(even) {
background-color: #f2f2f2;
}
caption {
caption-side: bottom;
text-align: center;
margin-top: 10px;
font-style: italic;
color: #666;
font-size: 0.9em;
}
canvas {
max-width: 100%;
height: auto;
display: block;
margin: 20px auto;
border: 1px solid var(–border-color);
border-radius: 5px;
}
.chart-container {
text-align: center;
margin-top: 20px;
}
.chart-legend {
margin-top: 15px;
font-size: 0.9em;
color: #555;
}
.chart-legend span {
display: inline-block;
margin: 0 10px;
position: relative;
padding-left: 18px;
cursor: pointer;
}
.chart-legend span::before {
content: ";
display: block;
width: 12px;
height: 12px;
background-color: red; /* Default, will be updated */
position: absolute;
left: 0;
top: 50%;
transform: translateY(-50%);
border-radius: 3px;
}
.chart-legend span.salary::before { background-color: #004a99; }
.chart-legend span.progression::before { background-color: #28a745; }
.article-section {
margin-top: 40px;
padding: 25px;
background-color: #fff;
border-radius: 8px;
box-shadow: 0 2px 10px var(–shadow-color);
width: 100%;
box-sizing: border-box;
}
.article-section p {
margin-bottom: 15px;
}
.article-section ul {
list-style-type: disc;
margin-left: 25px;
margin-bottom: 15px;
}
.article-section li {
margin-bottom: 8px;
}
.faq-item {
margin-bottom: 20px;
padding: 15px;
border: 1px solid var(–border-color);
border-radius: 5px;
background-color: #fefefe;
}
.faq-item strong {
color: var(–primary-color);
display: block;
margin-bottom: 5px;
cursor: pointer;
}
.faq-answer {
display: none; /* Hidden by default */
font-size: 0.95em;
color: #555;
margin-top: 10px;
padding-left: 10px;
border-left: 2px solid var(–primary-color);
}
.related-links {
list-style: none;
padding: 0;
margin-top: 20px;
}
.related-links li {
margin-bottom: 15px;
padding-bottom: 15px;
border-bottom: 1px solid var(–border-color);
}
.related-links li:last-child {
border-bottom: none;
padding-bottom: 0;
}
.related-links a {
color: var(–primary-color);
text-decoration: none;
font-weight: bold;
font-size: 1.1em;
}
.related-links a:hover {
text-decoration: underline;
}
.related-links p {
margin-top: 5px;
font-size: 0.95em;
color: #555;
}
footer {
text-align: center;
margin-top: 40px;
padding: 20px;
font-size: 0.9em;
color: #777;
width: 100%;
background-color: var(–background-color);
}
/* Responsive adjustments */
@media (max-width: 768px) {
h1 { font-size: 2em; }
h2 { font-size: 1.5em; }
.container { padding: 15px; margin: 15px auto; }
button { min-width: 120px; padding: 10px 20px; font-size: 0.95em;}
#primary-result { font-size: 1.6em; }
.intermediate-results p strong, .key-assumptions p strong { display: block; min-width: unset; margin-bottom: 5px; }
/* Ensure tables scroll */
table { overflow-x: auto; white-space: nowrap; display: block; }
th, td { padding: 8px 10px; }
}
@media (max-width: 480px) {
h1 { font-size: 1.8em; }
.button-group { flex-direction: column; align-items: center; gap: 10px; }
button { width: 100%; max-width: 250px; }
#primary-result { font-size: 1.4em; padding: 10px; }
.input-group input[type="text"],
.input-group input[type="number"],
.input-group select { width: calc(100% – 12px); padding: 10px 5px; }
canvas { max-width: 100%; }
}
Estimated Payscale Results
—
Key Assumptions:
Job Title: —
Experience: — years
Location: —
Industry: —
Company Size: —
Formula Used: The estimated payscale is a complex calculation that considers base salary benchmarks for your job title, adjusted by location-specific market rates, your years of experience, industry demand, company size, and the importance of your listed skills. It provides a projected annual salary range, representing typical market compensation.
Payscale Data Visualization
Estimated Salary Range
Experience Progression
Annual Salary Range Projection vs. Experience Level for a Similar Role in Your Location/Industry.
Salary Comparison Table
| Job Title |
Experience Level |
Location |
Industry |
Estimated Annual Salary Range |
Comparison of your estimated salary with similar roles in the market.
What is a Payscale Calculator?
A payscale calculator is a valuable online tool designed to help individuals estimate their potential salary range for a specific job title, considering various influencing factors. It leverages aggregated data from real-world salary reports, job postings, and industry benchmarks to provide an informed projection. Think of it as a data-driven guide to understanding your earning potential in the current job market.
Who Should Use It?
Anyone navigating the job market can benefit from a payscale calculator:
- Job Seekers: To set realistic salary expectations when applying for new roles and negotiating offers.
- Current Employees: To assess if their current compensation aligns with market rates, especially before performance reviews or seeking a promotion.
- Career Changers: To understand the salary implications of transitioning into a new field or role.
- Employers/HR Professionals: To gain insights into competitive compensation for various positions within their organization.
Common Misconceptions
It's important to understand that a payscale calculator provides an *estimate*, not a guaranteed figure. Common misconceptions include:
- Exact Figures: Assuming the calculator will provide a single, precise salary number. In reality, salaries exist within a range.
- Universality: Believing the results apply universally, regardless of the specific company's financial health or internal pay bands.
- Ignoring Soft Factors: Overlooking the impact of unique skills, negotiation prowess, or company culture on the final offer.
This tool is a starting point for salary research, not the definitive answer.
Payscale Calculator Formula and Mathematical Explanation
While the exact algorithms used by different payscale calculators can vary in complexity, a common approach involves a weighted formula that synthesizes multiple data points. The core idea is to start with a benchmark salary for a given role and then apply adjustment factors.
Step-by-Step Derivation (Conceptual)
- Base Salary Benchmark: Determine a median or average salary for the specified job title based on a large dataset.
- Location Adjustment: Apply a multiplier based on the cost of living and market demand in the specified location. For instance, a role in San Francisco will typically have a higher benchmark than the same role in a smaller town.
- Experience Adjustment: Factor in the number of years of experience. Entry-level positions will be at the lower end, while senior roles command higher pay. This often involves a progression curve.
- Industry/Skills Weighting: Adjust the salary based on the industry's typical pay scale and the demand for specific skills listed. High-demand skills or industries known for higher compensation will increase the estimated range.
- Company Size Factor: Larger companies often have more structured pay scales and may offer higher compensation packages compared to smaller startups, though this can vary.
- Final Range Calculation: Combine these adjustments to generate a lower and upper bound for the estimated annual salary.
Variable Explanations
Let's define the variables typically considered in a payscale calculator:
Variables Used in Payscale Estimation
| Variable |
Meaning |
Unit |
Typical Range |
| Job Title (JT) |
The specific name of the position. |
Text |
e.g., "Software Engineer", "Project Manager" |
| Years of Experience (YE) |
Total relevant professional experience. |
Years |
0 – 60+ |
| Location (LOC) |
Geographic area of the job. |
Text (City, State/Country) |
e.g., "New York, NY", "London, UK" |
| Industry (IND) |
The sector the job belongs to. |
Categorical |
e.g., "Technology", "Healthcare", "Finance" |
| Key Skills (KS) |
Specific technical or soft skills. |
List of Text |
e.g., "Python", "Leadership", "Data Analysis" |
| Company Size (CS) |
Number of employees. |
Categorical |
"Small", "Medium", "Large" |
| Market Adjustment (MA) |
Factor adjusting for cost of living & local demand. |
Decimal Multiplier |
0.7 – 1.5+ |
| Experience Premium (EP) |
Multiplier based on years of experience. |
Decimal Multiplier |
1.0 – 2.0+ |
| Skill Demand Factor (SDF) |
Modifier for the demand of listed skills. |
Decimal Multiplier |
0.9 – 1.3 |
| Industry Factor (IF) |
Modifier based on industry compensation trends. |
Decimal Multiplier |
0.9 – 1.4 |
| Company Size Factor (CSF) |
Modifier based on company size compensation trends. |
Decimal Multiplier |
0.95 – 1.1 |
The final estimated salary (S_est) is conceptually derived as:
S_est = Benchmark(JT) * MA(LOC) * EP(YE) * SDF(KS) * IF(IND) * CSF(CS)
Note: The actual calculation often uses median base salary and then adds bonuses/other compensation, or directly projects a total compensation range. This formula represents the core logic of adjustment factors.
Practical Examples (Real-World Use Cases)
Example 1: Software Engineer in a Tech Hub
Inputs:
- Job Title: Senior Software Engineer
- Years of Experience: 8
- Location: Seattle, WA
- Industry: Technology
- Key Skills: Python, AWS, Machine Learning
- Company Size: Large (501+ employees)
Calculator Output (Hypothetical):
- Primary Result: $185,000
- Estimated Base Salary Range: $160,000 – $210,000
- Market Adjustment Factor: 1.3 (High cost of living & tech demand in Seattle)
- Experience Premium: 1.6 (Reflecting 8 years of experience)
Financial Interpretation: A Senior Software Engineer with 8 years of experience, particularly with in-demand skills like Python and AWS in a major tech hub like Seattle, can command a high salary. The calculator suggests a strong base salary range, reflecting the competitive market and the value of specialized skills and experience.
Example 2: Marketing Coordinator in a Mid-Sized City
Inputs:
- Job Title: Marketing Coordinator
- Years of Experience: 3
- Location: Austin, TX
- Industry: Retail
- Key Skills: Social Media Marketing, Content Creation
- Company Size: Medium (51-500 employees)
Calculator Output (Hypothetical):
- Primary Result: $62,000
- Estimated Base Salary Range: $55,000 – $70,000
- Market Adjustment Factor: 1.05 (Moderate cost of living, growing market)
- Experience Premium: 1.2 (Reflecting 3 years of experience)
Financial Interpretation: For a Marketing Coordinator with 3 years of experience in a growing city like Austin, the projected salary is moderate. The calculator shows that while experience and location play a role, the compensation is typical for a coordinator role in a non-tech-heavy industry. The range allows for variations based on specific company compensation strategies.
How to Use This Payscale Calculator
Our payscale calculator is designed for ease of use. Follow these simple steps to get your salary estimate:
Step-by-Step Instructions:
- Enter Job Title: Be as specific as possible (e.g., "Full Stack Developer" instead of "Developer").
- Input Years of Experience: Enter your total relevant professional years.
- Specify Location: Type the city and state/country where the job is located or you wish to work. Accuracy here is crucial as location heavily influences pay.
- Select Industry: Choose the industry that best matches the job role.
- List Key Skills (Optional): Adding relevant skills can refine the estimate, especially for specialized roles.
- Indicate Company Size: Select the approximate size of the company.
- Click "Calculate Payscale": The tool will process your inputs and display the results instantly.
How to Read Results:
The calculator provides a primary estimated salary figure, often representing the median within the projected range. You'll also see:
- Estimated Base Salary Range: This is the most important output, indicating the likely low and high ends of compensation for your profile.
- Market Adjustment Factor: A numerical indicator showing how significantly location and market demand are affecting the salary.
- Experience Premium: A multiplier reflecting the value placed on your years of experience.
- Key Assumptions: A summary of the inputs used, allowing you to verify the basis of the calculation.
Decision-Making Guidance:
Use the results as a benchmark for salary negotiations. If the estimated range is significantly higher than a potential offer, you have data to support a higher counter-offer. Conversely, if the estimate is lower than expected, consider if your inputs accurately reflect the role's demands or if you need to gain more experience or in-demand skills. Always research the specific company's compensation philosophy and review the salary table for context.
Key Factors That Affect Payscale Results
Several elements significantly influence the salary range generated by a payscale calculator and, more importantly, the actual salary offered in the market. Understanding these factors is key to interpreting your results and negotiating effectively.
-
Job Title Specificity and Demand: A highly specific job title with strong market demand (e.g., "Senior AI Engineer") will command a higher payscale than a generic one (e.g., "IT Support"). Demand is driven by industry trends and the availability of qualified candidates.
-
Years and Quality of Experience: Beyond just the number of years, the *quality* and *relevance* of your experience matter. Progressive roles, leadership responsibilities, and proven track records (quantified achievements) increase your earning potential significantly. A payscale calculator often uses a multiplier based on years, but real-world value is nuanced.
-
Geographic Location and Cost of Living: Major metropolitan areas, especially those with a high concentration of specific industries (like tech hubs), typically have higher salaries to compensate for a greater cost of living and intense competition for talent. Our calculator adjusts for this via the market adjustment factor.
-
Industry Compensation Trends: Different industries have vastly different pay scales. For example, finance and technology sectors often pay more than education or non-profit sectors for comparable roles due to revenue models and market dynamics.
-
In-Demand Skills and Specializations: Possessing niche, highly sought-after skills (e.g., specific programming languages, cloud certifications, regulatory expertise) can significantly boost your payscale, as employers are willing to pay a premium for specialized talent.
-
Company Size and Financial Health: Larger, established companies often have more structured and potentially higher salary bands, along with better benefits packages. Startups might offer lower base salaries but include equity options. The company's profitability and funding also play a role.
-
Education and Certifications: While experience is often king, advanced degrees (Master's, PhD) or specific industry certifications can justify higher compensation, especially in fields like research, engineering, and healthcare.
-
Negotiation Skills and Offer Timing: Your ability to negotiate effectively can directly impact the final salary. Furthermore, the timing of a job opening and the urgency of the employer's need can influence their willingness to pay.
Frequently Asked Questions (FAQ)
What's the difference between base salary and total compensation?
Base salary is your fixed regular pay. Total compensation includes base salary plus bonuses, stock options, benefits (like health insurance, retirement contributions), and other perks. Our
payscale calculator primarily estimates the base salary range, which forms the foundation of total compensation.
Can I trust the results of a payscale calculator?
Payscale calculators provide data-driven estimates based on aggregated market information. They are excellent tools for research and setting expectations but are not guarantees. Actual salaries depend on many factors, including specific company policies, negotiation, and individual performance. Always use them as a guide, not gospel.
How often should I use a payscale calculator?
It's beneficial to use a
payscale calculator whenever you're considering a new job, asking for a raise, or changing careers. Revisit it periodically (e.g., annually) to stay updated on market trends, as salaries and demand can shift rapidly.
Does the calculator account for remote work?
Yes, when you input a location, the calculator uses data relevant to that geographic area, which can include remote job markets associated with that region or even national remote averages if specified. For roles with flexible location requirements, entering a major city you'd consider living in often provides a relevant benchmark.
What if my job title isn't listed or is very unique?
If your job title is unique, try entering a similar, more common title that reflects your core responsibilities. Alternatively, focus on the skills and experience you bring. You can also select "Other" for industry or use a broader job category if available. The accuracy might be slightly reduced, so cross-referencing with other sources is advised.
How are skills weighted in the calculation?
Skills are typically weighted based on market demand and their direct impact on job performance and compensation within a specific industry. Highly specialized or in-demand skills (like AI/ML expertise for a tech role) will generally have a greater positive impact on the estimated
payscale than more common skills.
Does the calculator factor in benefits like health insurance or retirement plans?
This specific calculator focuses on estimating the cash compensation range (base salary). While benefits are a crucial part of total compensation, they are complex to quantify universally and vary greatly by company. You should research the typical benefits package for your role and location separately.
What should I do if the calculator's estimate differs significantly from a job offer?
If an offer is lower than the estimated range, use the calculator's data (along with your research) to negotiate. If the offer is higher, it might reflect unique company benefits, a signing bonus, or a specific need they have. Always understand the complete offer package before accepting.
Related Tools and Internal Resources
var jobTitleInput = document.getElementById('jobTitle');
var experienceYearsInput = document.getElementById('experienceYears');
var locationInput = document.getElementById('location');
var industryInput = document.getElementById('industry');
var skillsInput = document.getElementById('skills');
var companySizeInput = document.getElementById('companySize');
var primaryResultDiv = document.getElementById('primary-result');
var baseSalaryRangeSpan = document.getElementById('baseSalaryRange');
var marketAdjustmentFactorSpan = document.getElementById('marketAdjustmentFactor');
var experiencePremiumSpan = document.getElementById('experiencePremium');
var assumptionJobTitleSpan = document.getElementById('assumptionJobTitle');
var assumptionExperienceSpan = document.getElementById('assumptionExperience');
var assumptionLocationSpan = document.getElementById('assumptionLocation');
var assumptionIndustrySpan = document.getElementById('assumptionIndustry');
var assumptionCompanySizeSpan = document.getElementById('assumptionCompanySize');
var resultsDiv = document.getElementById('results');
var salaryTableBody = document.querySelector('#salaryTable tbody');
var ctx = document.getElementById('payscaleChart').getContext('2d');
var payscaleChart = null; // Declare chart variable
var defaultValues = {
jobTitle: ",
experienceYears: 5,
location: ",
industry: 'Technology',
skills: ",
companySize: 'medium'
};
// Chart data
var chartData = {
labels: [],
datasets: [
{
label: 'Estimated Salary Range',
data: [],
backgroundColor: 'rgba(0, 74, 153, 0.5)', // Primary color, semi-transparent
borderColor: 'rgba(0, 74, 153, 1)',
borderWidth: 1,
fill: false,
tension: 0.1,
type: 'line' // Specify line type for this dataset
},
{
label: 'Experience Progression',
data: [],
backgroundColor: 'rgba(40, 167, 69, 0.5)', // Success color, semi-transparent
borderColor: 'rgba(40, 167, 69, 1)',
borderWidth: 1,
fill: false,
tension: 0.1,
type: 'line' // Specify line type for this dataset
}
]
};
// Dummy data for chart and table – replace with actual calculations or sample data
var sampleChartData = [
{ exp: 0, min: 40000, max: 60000, progression: 1.0 },
{ exp: 2, min: 55000, max: 80000, progression: 1.3 },
{ exp: 5, min: 75000, max: 110000, progression: 1.7 },
{ exp: 8, min: 95000, max: 140000, progression: 2.0 },
{ exp: 10, min: 110000, max: 160000, progression: 2.2 },
{ exp: 15, min: 130000, max: 190000, progression: 2.5 },
{ exp: 20, min: 150000, max: 220000, progression: 2.7 }
];
var sampleTableData = [
{ title: 'Software Engineer', exp: '5-10 yrs', location: 'New York, NY', industry: 'Technology', salary: '$100k – $150k' },
{ title: 'Marketing Manager', exp: '5-8 yrs', location: 'Chicago, IL', industry: 'Marketing', salary: '$80k – $120k' },
{ title: 'Data Scientist', exp: '8+ yrs', location: 'San Francisco, CA', industry: 'Technology', salary: '$140k – $200k' }
];
// Function to get adjustment factors (simplified for demo)
function getAdjustmentFactors(experienceYears, location, industry, skills, companySize) {
var marketAdjustment = 1.0;
var locationLower = location.toLowerCase();
// Location factors (simplified)
if (locationLower.includes('new york') || locationLower.includes('san francisco') || locationLower.includes('seattle') || locationLower.includes('london')) {
marketAdjustment *= 1.3;
} else if (locationLower.includes('austin') || locationLower.includes('denver')) {
marketAdjustment *= 1.1;
} else {
marketAdjustment *= 1.0; // Default for less expensive areas
}
// Industry factors (simplified)
if (industry === 'Technology' || industry === 'Finance') {
marketAdjustment *= 1.2;
} else if (industry === 'Healthcare') {
marketAdjustment *= 1.15;
} else {
marketAdjustment *= 1.0;
}
// Company size factors (simplified)
if (companySize === 'large') {
marketAdjustment *= 1.1;
} else if (companySize === 'medium') {
marketAdjustment *= 1.05;
} // Small implicitly 1.0
// Skills factors (simplified – bonus for specific skills)
var skillsLower = skills.toLowerCase();
if (skillsLower.includes('python') || skillsLower.includes('aws') || skillsLower.includes('machine learning') || skillsLower.includes('data science')) {
marketAdjustment *= 1.1;
}
// Experience factors (simplified for progression multiplier)
var experienceMultiplier = 1.0;
if (experienceYears >= 10) {
experienceMultiplier = 1.0 + (experienceYears – 10) * 0.05; // Grow slower after 10 years
} else if (experienceYears > 5) {
experienceMultiplier = 1.0 + experienceYears * 0.08; // Steeper growth for mid-career
} else {
experienceMultiplier = 1.0 + experienceYears * 0.1; // Fastest growth for early career
}
experienceMultiplier = Math.min(experienceMultiplier, 2.5); // Cap experience multiplier
return { market: marketAdjustment, experience: experienceMultiplier };
}
// Function to get a base salary benchmark (highly simplified)
function getBaseSalaryBenchmark(jobTitle, industry) {
var titleLower = jobTitle.toLowerCase();
var base = 60000; // Default base
if (titleLower.includes('engineer') || titleLower.includes('developer')) {
base = 75000;
if (industry === 'Technology') base *= 1.2;
} else if (titleLower.includes('manager') || titleLower.includes('lead')) {
base = 80000;
if (industry === 'Finance') base *= 1.3;
} else if (titleLower.includes('analyst') || titleLower.includes('coordinator')) {
base = 50000;
} else if (titleLower.includes('scientist')) {
base = 90000;
if (industry === 'Technology') base *= 1.3;
} else if (titleLower.includes('designer')) {
base = 65000;
}
return base;
}
function calculatePayscale() {
// Clear previous errors
clearErrors();
var jobTitle = jobTitleInput.value.trim();
var experienceYears = parseInt(experienceYearsInput.value, 10);
var location = locationInput.value.trim();
var industry = industryInput.value;
var skills = skillsInput.value.trim();
var companySize = companySizeInput.value;
// — Validation —
var isValid = true;
if (!jobTitle) {
displayError('jobTitleError', 'Job title is required.');
isValid = false;
}
if (isNaN(experienceYears) || experienceYears 60) {
displayError('experienceYearsError', 'Please enter a valid number of years (0-60).');
isValid = false;
}
if (!location) {
displayError('locationError', 'Location is required.');
isValid = false;
}
if (companySize === null || companySize === "") { // Check for empty select
displayError('companySizeError', 'Please select a company size.');
isValid = false;
}
if (!isValid) {
return; // Stop calculation if validation fails
}
// — Calculations —
var baseBenchmark = getBaseSalaryBenchmark(jobTitle, industry);
var factors = getAdjustmentFactors(experienceYears, location, industry, skills, companySize);
var adjustedBase = baseBenchmark * factors.market;
var estimatedSalaryMin = adjustedBase * 0.85 * factors.experience; // Lower end of range
var estimatedSalaryMax = adjustedBase * 1.15 * factors.experience; // Upper end of range
// Ensure min is not greater than max
if (estimatedSalaryMin > estimatedSalaryMax) {
var temp = estimatedSalaryMin;
estimatedSalaryMin = estimatedSalaryMax;
estimatedSalaryMax = temp;
}
var primaryEstimate = (estimatedSalaryMin + estimatedSalaryMax) / 2;
// Format results
var formattedPrimary = formatCurrency(primaryEstimate);
var formattedRange = formatCurrency(estimatedSalaryMin) + " – " + formatCurrency(estimatedSalaryMax);
var formattedMarketAdj = factors.market.toFixed(2);
var formattedExperience = factors.experience.toFixed(2);
// Update results display
primaryResultDiv.textContent = formattedPrimary;
baseSalaryRangeSpan.textContent = formattedRange;
marketAdjustmentFactorSpan.textContent = formattedMarketAdj + "x";
experiencePremiumSpan.textContent = formattedExperience + "x";
// Update assumptions
assumptionJobTitleSpan.textContent = jobTitle;
assumptionExperienceSpan.textContent = experienceYears;
assumptionLocationSpan.textContent = location;
assumptionIndustrySpan.textContent = industry;
assumptionCompanySizeSpan.textContent = getCompanySizeText(companySize);
resultsDiv.classList.add('visible');
// Update Table and Chart
updateTableAndChart(jobTitle, experienceYears, location, industry, companySize, formattedRange);
}
function getCompanySizeText(sizeKey) {
switch(sizeKey) {
case 'small': return 'Small (1-50)';
case 'medium': return 'Medium (51-500)';
case 'large': return 'Large (501+)';
default: return 'N/A';
}
}
function formatCurrency(amount) {
if (isNaN(amount) || amount === null) return "–";
return "$" + amount.toFixed(0).replace(/\B(?=(\d{3})+(?!\d))/g, ",");
}
function clearErrors() {
document.getElementById('jobTitleError').textContent = ";
document.getElementById('experienceYearsError').textContent = ";
document.getElementById('locationError').textContent = ";
document.getElementById('industryError').textContent = "; // Assuming industry might have validation too
document.getElementById('skillsError').textContent = "; // Assuming skills might have validation too
document.getElementById('companySizeError').textContent = ";
var errorMessages = document.querySelectorAll('.error-message');
for (var i = 0; i d.exp + " yrs");
chartData.datasets[0].data = sampleChartData.map(d => ({
x: d.exp,
y: Math.random() * (d.max – d.min) + d.min // Randomize slightly per update
}));
chartData.datasets[1].data = sampleChartData.map(d => ({
x: d.exp,
y: d.progression * (getBaseSalaryBenchmark(jobTitle, industry) * getAdjustmentFactors(d.exp, location, industry, ", companySize).market) // Base progression
}));
// Add current input values to chart data if they fall within the sample range
var currentExpDataPoint = sampleChartData.find(d => d.exp === experienceYears);
if (!currentExpDataPoint) {
chartData.labels.push(experienceYears + " yrs");
chartData.datasets[0].data.push({ x: experienceYears, y: parseFloat(salaryRange.split(' – ')[0].replace(/[^0-9.-]+/g,"")) }); // Min from range
chartData.datasets[1].data.push({ x: experienceYears, y: getAdjustmentFactors(experienceYears, location, industry, ", companySize).experience * getBaseSalaryBenchmark(jobTitle, industry) }); // Simplified prog.
}
// Initialize or update chart
if (payscaleChart) {
payscaleChart.update();
} else {
payscaleChart = new Chart(ctx, {
type: 'line', // Default type, but datasets can override
data: chartData,
options: {
responsive: true,
maintainAspectRatio: false,
plugins: {
title: {
display: true,
text: 'Salary Progression by Experience'
},
legend: {
display: false // Using custom legend
}
},
scales: {
x: {
title: {
display: true,
text: 'Years of Experience'
}
},
y: {
title: {
display: true,
text: 'Estimated Annual Salary ($)'
},
ticks: {
callback: function(value, index, values) {
return formatCurrency(value);
}
}
}
}
}
});
}
// Update Table Data (using sample data for demonstration)
salaryTableBody.innerHTML = "; // Clear existing rows
sampleTableData.forEach(function(row) {
var newRow = salaryTableBody.insertRow();
newRow.innerHTML = `
${row.title} |
${row.exp} |
${row.location} |
${row.industry} |
${row.salary} |
`;
});
// Add a row for the current calculation
var currentRow = salaryTableBody.insertRow();
currentRow.innerHTML = `
${jobTitle} |
${experienceYears} yrs |
${location} |
${industry} |
${salaryRange} |
`;
}
function toggleFaq(element) {
var answer = element.nextElementSibling;
if (answer.style.display === 'block') {
answer.style.display = 'none';
} else {
answer.style.display = 'block';
}
}
// Initial calculation on load if values are present (or defaults)
function initializeCalculator() {
// Check if inputs have values, otherwise use defaults
var initialJobTitle = jobTitleInput.value.trim() || defaultValues.jobTitle;
var initialExperience = parseInt(experienceYearsInput.value, 10) || defaultValues.experienceYears;
var initialLocation = locationInput.value.trim() || defaultValues.location;
var initialIndustry = industryInput.value || defaultValues.industry;
var initialSkills = skillsInput.value.trim() || defaultValues.skills;
var initialCompanySize = companySizeInput.value || defaultValues.companySize;
if (initialJobTitle || initialExperience || initialLocation || initialIndustry || initialSkills || initialCompanySize) {
calculatePayscale(); // Perform calculation with initial/default values
}
}
// Load chart library dynamically if needed, or assume it's available
// For this example, assuming Chart.js is available globally
// Ensure Chart.js is included in your WordPress theme or via a plugin
// Add event listeners for real-time updates (optional, uncomment if desired)
/*
jobTitleInput.addEventListener('input', calculatePayscale);
experienceYearsInput.addEventListener('input', calculatePayscale);
locationInput.addEventListener('input', calculatePayscale);
industryInput.addEventListener('change', calculatePayscale);
skillsInput.addEventListener('input', calculatePayscale);
companySizeInput.addEventListener('change', calculatePayscale);
*/
// Initialize the calculator on page load
document.addEventListener('DOMContentLoaded', function() {
initializeCalculator();
});