Original explainer
Trafficking has an economy. Its statistics do not all measure the same thing.
Profit estimates, detected victims and suspicious transactions answer different questions. Keeping the units straight makes the business model clearer.
Source reviewed
A profit estimate describes money. A count of detected victims describes people identified by reporting systems. A suspicious-transaction total describes financial activity flagged for scrutiny. None can simply stand in for the others.
That distinction is essential to understanding the economics of trafficking. Large numbers can communicate scale, but they become misleading when the geography, year or unit disappears.
The International Labour Organization’s 2024 report estimated annual profits from forced labor in the global private economy at $236 billion, using 2021 inputs. It is not a measurement of annual trafficking revenue in the United States. Nor is “profit” interchangeable with sales, wages withheld or the value of a civil judgment.
The report offers a framework for understanding the financial gains extracted from exploitation. Using it well means preserving what the estimate measures instead of attaching the number to any story about trafficking.
Detection is not prevalence
UNODC’s Global Report on Trafficking in Persons draws on detected victims and other official information. Detection depends on institutions: what authorities investigate, how they identify victims and what countries report.
A rise in detected cases can reflect changes in exploitation, changes in identification, or both. A low recorded count is not proof that a place or sector has little trafficking.
The same discipline applies to labor research. Surveys of returned migrants and reviews of service-provider files can reveal mechanisms that broad national totals miss. Their findings describe the studied population; the sample design determines whether broader estimates are justified.
Follow the money in separate columns
A practical account of a business model should distinguish money promised to workers, wages actually paid, recruitment charges, deductions, receipts taken by intermediaries and profits retained by businesses.
Those flows may overlap. Adding them together without following the transactions can count the same money more than once.
The Department of Labor’s goods lists answer another question: which country–product combinations meet the agency’s evidentiary criteria. A listed good is not a verdict against every business that sells it, and a broader product category identified as at risk is not the same as a listed downstream good.
The point is not to make statistics timid. It is to make them useful. A number with its date, geography and denominator intact tells readers more about how exploitation works than a larger number stripped of its meaning.