About Salaryvia

Salary data should be
open and honest.

Salaryvia is built on a simple belief: everyone deserves access to transparent, accurate compensation data β€” not just those who can afford expensive HR tools or know the right people.

How we collect data Explore salary data
312K+
Salary reports collected
1,240+
Cities covered
480+
Job titles tracked
Monthly
Data refresh cycle
Our Mission

What is Salaryvia?

Salaryvia is a compensation intelligence platform built for workers, not HR departments. We aggregate real salary submissions, public wage data, and verified reports to give you a ground-truth view of what people actually earn.

We don't estimate. We don't model based on job postings. We collect real numbers, verify them for consistency, and publish them with full context β€” including cost-of-living adjustments, experience breakdowns, and work-type splits.

Every page on Salaryvia is a direct answer to a real question someone is trying to answer before negotiating a raise, evaluating a job offer, or deciding whether to relocate.

Real reported salaries
Every data point is a real submission or verified public record, never a model output or job posting estimate.
Anonymized and private
No personal data is ever published. All submissions are anonymized before aggregation.
Updated regularly
Data is refreshed on a rolling monthly cycle. Stale data is flagged or removed automatically.
Cost-of-living adjusted
Every salary figure is paired with CoL context so you can compare across cities meaningfully.
Who We Serve

Built for everyone at the table.

Whether you're about to negotiate your first offer or your tenth, Salaryvia gives you the numbers you need to walk in prepared.

πŸ’Ό
Primary user
Job Seekers & Negotiators

People evaluating new offers, preparing for salary reviews, or benchmarking their current pay against market rates. They need specific, credible numbers β€” not ranges pulled from job postings.

Offer negotiation Raise requests Market benchmarking
πŸ™οΈ
Relocation planning
Remote Workers & Relocators

Professionals weighing remote work opportunities, comparing compensation across cities, or figuring out how much a move would actually affect their purchasing power and lifestyle.

City comparisons CoL adjustments Remote vs onsite
πŸ“Š
Research & Analysis
HR Teams & Researchers

Compensation analysts, recruiters, journalists, and policy researchers who need reliable public data for benchmarking, reporting, or informing compensation strategy.

Comp benchmarking Workforce research Policy analysis
1
Collect real data
We gather salary submissions from verified users, public salary disclosures, HR surveys, and government wage records. No synthetic data, no model estimates.
2
Validate and clean
Each data point goes through outlier detection, cross-source validation, and consistency checks before it enters our database.
3
Anonymize completely
Personal identifiers are stripped before aggregation. We never publish individual submissions. Minimum sample sizes apply before any percentile is shown.
4
Add context
Raw salary numbers without context mislead. We layer in cost-of-living indices, experience distributions, and work-type breakdowns so the data tells the whole story.
5
Publish transparently
Every page includes a data confidence score, sample count, sources used, and last-updated date. You always know what you're looking at.
Our Approach

Data-first,
always.

Most salary sites show you a number with no explanation. You don't know where it came from, how many people reported it, or whether it was current six months ago.

Salaryvia takes the opposite approach. Every figure on our platform is traceable to a source, sized by sample count, and marked with a confidence score. If we don't have enough data to give you a reliable estimate, we tell you that instead of making one up.

We believe a website that admits its limitations is more trustworthy than one that doesn't.

Transparency

We practice what we preach.

Transparency is not just a value we list on an About page. It shapes every product decision we make.

Sample counts on every page
You always see how many reports a figure is based on. A median from 12 people looks different than one from 1,200.
Confidence scores
Each salary page carries an explicit data confidence rating β€” High, Medium, or Low β€” based on sample size, source diversity, and data recency.
Last-updated dates
Every page shows when its data was last refreshed. Stale data is clearly flagged so you can decide how much weight to give it.
Honest about limitations
When data is thin, we say so. When our methodology has known gaps, we document them publicly on our Methodology page.
Cited sources
We attribute data to its origin β€” community submissions, BLS records, or partner surveys β€” so you can verify independently.
No sponsored rankings
We do not accept payment to alter salary figures or rank certain companies higher. Our data is editorial, not commercial.
What We Stand For

Core values.

Six principles that guide every decision we make.

Radical Transparency
We show our work. Sample sizes, confidence scores, data sources, and methodological limitations are always visible.
Worker-First Design
Our product decisions prioritize the person negotiating a salary, not the company setting one. The information asymmetry ends here.
Editorial Independence
Compensation data is never altered for commercial reasons. No company can pay to move their salary figures up or down.
Continuous Accuracy
Data that ages without refresh becomes misinformation. We treat stale data as a product defect, not a backlog item.
Privacy as Default
Anonymization is not a toggle. Every submission is anonymized before it enters our system, with no option to reverse.
Community-Powered
The people using Salaryvia are also the people making it better. Every salary submission improves data quality for everyone.
Ready to see what the data says?

Explore verified salary data for thousands of job titles and cities. Or help improve the database by submitting your own salary report β€” anonymously.

Explore salaries Methodology