How It Works

Most of what you see comes from Nigerian professionals reporting their own pay through our form. It takes about forty seconds and needs no account. The rest comes from information that is already public: company career pages, salary figures a company has disclosed itself, published compensation reports, and industry write-ups.

Every source runs through the same pipeline below — verify, analyse, generalise, anonymise. Entries range from anonymous self-reports to figures backed by evidence, so each one is labelled by how it reached us. You should never have to guess how much weight a number carries.

What the source labels mean

• Verified — Submitted by a professional and checked against supporting evidence — a payslip, offer letter or work email — before publication. The evidence is used once to confirm the submission is real, then discarded. It is never published.
• Self-reported — An anonymous submission with no supporting evidence attached. We still clean, classify and sanity-check it, but nobody confirmed it independently, and the confidence score reflects that.
• Company job page — The figure came from a company's own careers page or job post. We name an employer beside a specific figure only when that employer already published it themselves.
• Public report — Taken from a published compensation or industry report, then converted into our standard role, level, location and pay format so it sits comparably next to everything else.
• Public article — Taken from a published article, newsletter or write-up. We extract only the compensation detail needed for comparison and drop the surrounding context.
• Company-reported — Provided directly by the employer, or published by them outside a job post. Still normalised into our format before it appears.
• Expert-reported — Provided by a vetted recruiter, operator or industry specialist with direct knowledge of pay in that market. Reviewed and standardised before publication.

Verification is optional and always the contributor’s choice. When someone opts in, we use a work email, offer letter or payslip to confirm the submission is genuine — and then we discard it. No verification document is ever published or kept in the public dataset.

Every figure also gets a plausibility check. Anything implausible for the role, level and market is flagged for human review before it can go live rather than published and corrected later. Submissions sit in a moderation queue, and a moderator and an administrator both sign off before an entry becomes public.

A company is named beside a specific salary only where that company already made the figure public itself.

We classify each entry by what the role actually is — function, seniority, industry, location and company type — rather than by its job title. A software engineer and a sales engineer should never land in the same average simply because both titles contain the word “engineer”.

Pay structures are converted into one comparable annual figure: currency, monthly versus annual, bonuses, allowances and equity all normalised, without rounding away the real number.

Every published statistic carries a confidence score. Confidence rises with sample size and falls when the underlying submissions disagree with each other. Around forty verified records reads near 97%; three records reads far lower, and we say so on the figure rather than hiding it.

Details that could single someone out get generalised. Free-text job titles are mapped onto a fixed set of roles named by seniority tier and track, duplicate labels are merged, and notes are stripped of anything that could identify a person or trace a figure back to its author.

Company names are normalised too, so “GTB”, “GTBank” and “GTCO” resolve to one canonical employer instead of fragmenting the data across three near-duplicates.

Recent years are what you browse. Older submissions remain in our internal archive so the public view reflects the current market rather than a decade of drift.

By the time an entry is published, everything that could identify the person is gone. You can share a salary without creating an account at all — anonymity is the default, not a setting you have to find.

What we never publish:

• Names, email addresses or LinkedIn profiles
• Offer letters, payslips or any uploaded document
• Any free-text detail that could point back to a specific person
• Anything linking a submission to the device or session that created it

If you believe a published listing could identify you, contact us and we will review it and, where appropriate, remove it.

OpenPay is operated by QuantumForge. For questions about how we handle data, or to have an entry reviewed or removed, email us at support@openpay.ng. You can also read our Privacy Policy and our list of sub-processors.