Free Estimated Salary Schema Generator

Why many salary pages underperform

How SwiftSchema helps

How it works

What is EstimatedSalary structured data?

EstimatedSalary pairs Occupation with a MonetaryAmountDistribution to express currency, unit (YEAR/HOUR/MONTH), and percentile values for salary estimates.

Essential elements

1. Occupation — includes name, optional description, occupationLocation.
2. estimatedSalary — a MonetaryAmountDistribution with currency, duration, and percentiles (median, percentile10/25/75/90).
3. occupationLocation — Place or AdministrativeArea (city, state, country) explaining where the salary applies.
4. mainEntityOfPage — link to the canonical occupation page.
5. identifier / sameAs — include job codes (SOC, ONET) or external references.
6. Last updated and source — Occupation has no date or provider properties. Show when the estimate was updated and where the data comes from in the page copy (and in the page's own WebPage markup if you use it).
7. description — explain methodology or scope.
8. Page language — Occupation has no language property; set inLanguage on the page's WebPage markup if you publish in several languages.

Content prep checklist

• Gather median and percentile data for each occupation (source: surveys, job board data).
• Decide on the geographic scope (country, state, city) and note it on the page.
• Specify whether salaries include benefits, bonuses, or base pay only.
• Provide context on methodology (“Based on 5,000 job postings from 2024”).
• Include disclaimers about variability and data freshness.
• Link to job postings, employer profiles, or related occupations for additional context.

Implementation workflow

1. Create or update the occupation page with the salary info, methodology, and location context.
2. Generate Occupation JSON‑LD with name, description, occupationLocation, and estimatedSalary.
3. Fill in MonetaryAmountDistribution with currency, duration, median, and other percentiles.
4. Add metadata such as identifier, sameAs, and mainEntityOfPage.
5. Embed the schema once per occupation page.
6. Validate in the Schema Markup Validator; pay attention to warnings about a missing median or an invalid duration.
7. Expect no Google display: Google retired the estimated salary feature in September 2025, so there is no Search Console report for it.
8. Update cadence: refresh salary values and the page's last-updated date on a regular schedule (e.g., quarterly).

Location and currency considerations

• Use ISO currency codes (USD, EUR) and match the displayed currency.
• For multi-country pages, consider separate pages per region to avoid mixing currencies/rates.
• When listing multiple cities on one page, provide separate Occupation entries or clearly note differences in the content.
• Mention data sources when referencing aggregated platforms (e.g., “Based on SwiftSchema job postings”).
• If displaying different ranges by seniority (Junior/Mid/Senior), either create separate Occupation entries or make the ranges explicit in content; avoid mixing unrelated levels in one distribution.

Complementing JobPosting and Employer data

• Link to JobPosting schema for relevant listings; highlight salary ranges from real job postings when available.
• Pair with EmployerAggregateRating to provide employer reputation context.
• Use breadcrumbs and internal links so occupation pages feed traffic to related job listings or training courses.

Troubleshooting checklist

• Missing median: include median value; if unavailable, reconsider publishing.
• Wrong pay period: use an ISO 8601 duration (P1Y, P1M, PT1H).
• Ambiguous region: add occupationLocation with Place/AdministrativeArea.
• Stale data: update the salary values and the page's last-updated date regularly (quarterly recommended).
• Insufficient data: if sample size is small, mention it in the description to avoid misleading readers.
• Scale confusion: ensure currency and units match what’s shown on-page; don’t mix base pay with total compensation unless stated.

Common Errors & Fixes

• Missing median: include at least the median; add other percentiles when possible.
• Wrong pay period: use an ISO 8601 duration (P1Y/P1M/PT1H).
• Ambiguous region: add occupationLocation to avoid misleading global values.
• Missing currency: always set currency on the MonetaryAmountDistribution.
• Hidden data: only include schema if the salary values are visible to users on the page.

On-page parity checklist

• Occupation name and description match on-page text.
• Salary figures and percentiles in schema match what’s displayed; currency and units are consistent.
• Region/location shown on-page matches occupationLocation.
• Methodology, source, and last-updated date are visible on the page.
• If multiple levels/regions are shown, schema reflects the same breakdown or separate entries.

Validation and QA

• Run the Schema Markup Validator after updates.
• Spot-check percentiles for numeric values and correct units/currency.
• Confirm mainEntityOfPage points to the canonical occupation URL.
• Review quarterly to refresh the values and the page's last-updated date; keep a changelog of data sources.

Methodology and sourcing notes

• Document sample size, time window, and filters (e.g., “Based on 8,200 postings from Jan–Dec 2024; excludes internships”).
• Clarify whether values are base salary, base + bonus, or total compensation.
• If you blend datasets (e.g., internal + third-party), explain the weighting in on-page copy.
• Provide links to data dictionaries or SOC/ESCO codes when relevant to disambiguate the occupation.

Handling multiple segments

• If publishing salaries by seniority, location, or industry, create distinct Occupation entries per segment or clearly label each distribution on-page.
• Avoid mixing currencies in one distribution; split into region-specific blocks and schema.
• When ranges are narrow or volatile, add a confidence note (“Range reflects limited sample size”) to avoid misleading readers.

Automation and governance

• Drive both the UI and JSON‑LD from the same data source to prevent drift.
• Add automated checks to confirm currency/unit consistency and numeric types before deploy.
• Track when sources change (new vendors, new survey methods) and refresh the page's last-updated date and on-page notes simultaneously.

Localization and accessibility

• Set inLanguage on each localized page's WebPage markup and translate units/descriptions accordingly.
• Provide alt text for charts or salary tables; consider plain-text summaries for screen readers.
• If pages are country-specific, note labor market context (taxes, benefits norms) in the content.