Págame was built because the information is uneven.
Employers walk into pay decisions with salary bands, benchmarks, job levels and market data. Too many workers have been asked to walk in with a search result and a guess. That gap is not a confidence problem, and it is not solved by being told to ask more boldly.
One side of the table has always had the numbers.
A company knows what it pays for a role, what the market pays, and what it is prepared to go to. It knows this before the conversation starts. Almost none of that has been available to the person on the other side, who is expected to name a number first.
Págame exists to close that specific gap. It is the same information, worked out from the same published sources, handed to the person who has been going without it.
Why women?
Because the published data says the shortfall is real, and says something more useful than that: it is wildly uneven. In community and social service occupations, women’s median earnings are 97¢ for every dollar men earn. In legal occupations it is 55¢.
A spread that wide is hard to explain by the fields women choose or by how they ask — fields that are majority women sit at both ends of it. What it does say is that there is no single number to carry into a conversation. “Women earn less” is true, and it is useless at the table.
What is useful there is narrow: what this work pays, in this city, at this level. That number already exists, and the company across the table has it before the conversation starts. It has simply never been on your side of it — which is why the answer to “why women?” is about information, and not about how you ask.
| Occupation group | Women are | Per $1.00 |
|---|---|---|
| legal occupations | 55% | 55¢ |
| sales occupations | 48% | 70¢ |
| health diagnosing and treating occupations | 75% | 73¢ |
| transportation occupations | 16% | 73¢ |
| farming, fishing, and forestry occupations | 27% | 76¢ |
| production occupations | 29% | 77¢ |
| building and grounds cleaning and maintenance occupations | 41% | 78¢ |
| firefighting and protective service occupations | 26% | 79¢ |
| management occupations | 43% | 80¢ |
| business and financial operations | 54% | 80¢ |
| education and library occupations | 73% | 81¢ |
| law enforcement occupations | 20% | 82¢ |
| construction and extraction occupations | 4% | 82¢ |
| health technologist and technician roles | 76% | 83¢ |
| installation, maintenance, and repair occupations | 4% | 83¢ |
| personal care and service occupations | 74% | 84¢ |
| computer and mathematical occupations | 27% | 86¢ |
| material moving occupations | 28% | 86¢ |
| food preparation and serving occupations | 55% | 87¢ |
| office and administrative support occupations | 73% | 88¢ |
| architecture and engineering occupations | 18% | 89¢ |
| healthcare support occupations | 84% | 91¢ |
| arts, design, entertainment, sports, and media occupations | 51% | 93¢ |
| life, physical, and social science occupations | 49% | 94¢ |
| community and social service occupations | 68% | 97¢ |
U.S. Census Bureau, American Community Survey 2024 (table B24022; earnings for full-time, year-round workers). Workforce share is table C24010, a wider universe — the two sit side by side and are never combined. These are unadjusted medians for broad occupation groups, not a comparison of two people doing the same job, and a group with too much sampling error to publish honestly is left out rather than estimated.
What Págame does about it.
- It gives you the market information
- the published wage range for your work in your city, from U.S. government data.
- It gives you a number to ask for
- computed by a fixed formula from that range and your level — not a guess, and not a range you have to interpret.
- It shows you the evidence
- every figure names the source and the year behind it.
- It helps you prepare
- the words for the conversation, and for the pushback after it.
- It never lowers your number because you are a woman
- gender is not collected and is not an input. The same inputs produce the same number for anyone.
All of that is Págame Pay Check — free, and it stays free.
What it does not promise.
A product that told you the case would work would be setting you up. You can make a strong, well-evidenced decision and still hear no — and that is a real outcome, not a failure.
- It does not guarantee a raise.
- It does not guarantee an offer.
- It does not replace employment or legal advice.
- Rita can explain your number. She cannot invent evidence or change what the data says.
What it does promise is that you will walk in knowing what the work pays, what you are asking for, and why.