Trump presented Stephen Moore’s charts as evidence of a stronger economy, but the underlying data and the comparison itself have drawn scrutiny. The dispute shows why competing job-growth claims can turn on the choice of dataset, starting point and definition.
Stephen Moore, an economist at the Heritage Foundation, challenged Donald Trump’s job creation claims with a simple graph that Trump displayed in the Oval Office. The graph used employment data to assess Trump’s job creation record in the United States and was presented as evidence that his economy had outperformed President Joe Biden’s.
But the graph does not by itself establish unusually strong job growth. Moore relied on unpublished Census Bureau figures rather than the publicly available employment data produced by the Bureau of Labor Statistics, making his calculations harder to independently verify. The comparison also depends on the chosen starting point and on how jobs are attributed to a president.
Trump turned to Moore’s charts after a weak BLS jobs report, seeking numbers that supported his portrayal of the economy. The dispute shows how a graph can appear definitive while masking choices that materially affect the conclusion.
Trump embraced Moore’s charts
According to The New York Times, Trump called reporters to the Oval Office in August 2025 to show charts prepared by Moore, a conservative economist affiliated with the Heritage Foundation. Trump described the displays as “all new numbers” and said they offered a more favorable picture of his economic record than the latest federal jobs report.
The presentation came shortly after the Bureau of Labor Statistics released weaker-than-expected employment figures. Trump had criticized the report, claimed without offering evidence that the numbers were rigged, and fired BLS Commissioner Erika McEntarfer.
That sequence made the charts more than a routine economic talking point. They became part of a larger argument over whether the government’s most closely watched labor-market statistics should be trusted when they conflict with a president’s preferred narrative.
The data source is central
Moore said his charts drew on Census Bureau data that had not been published, according to the Times. That is the key limitation: outside analysts cannot fully test the inputs, definitions, calculations or adjustments behind the graphic until the underlying data are available.
Unpublished data are not automatically wrong. Researchers, agencies and economists often work with preliminary or specialized data before public release. But a claim presented as proof of a president’s employment performance carries more weight when other economists can reproduce the result and compare it with established measures.
The Bureau of Labor Statistics publishes widely used monthly indicators from its Current Employment Statistics survey, including total nonfarm payroll employment. Those figures are revised as more complete information arrives, and revisions can be substantial. That process can frustrate politicians looking for a simple scorecard, but it is also designed to make the estimates more accurate over time.
Why one graph is not enough
A job-growth chart can be technically accurate and still give a misleading impression if readers do not know its baseline. Starting a comparison before or after a recession, a pandemic shutdown, a major revision or a change in population can radically alter the visual result.
That is especially true for Trump’s first term. Payroll employment rose before the COVID-19 pandemic, then collapsed during the 2020 shutdowns. The recovery began before Trump left office and continued through Biden’s term. A graph that treats all of those movements as a single uninterrupted measure of presidential job creation will struggle to separate policy effects from an extraordinary public-health and economic shock.
The same caution applies to Trump’s second term. Early employment results can reflect conditions inherited from the previous administration, Federal Reserve policy, business investment decisions made months earlier and revisions to prior data. Presidents influence the economy, but they do not directly hire most workers counted in the monthly jobs report.
BLS numbers tell a broader story
BLS payroll data show that the United States added jobs in most months before the pandemic, while 2020 brought an unprecedented loss of more than 20 million payroll jobs in April alone. The ensuing rebound produced very large monthly gains, partly because workers were returning to positions lost during the shutdown.
Those figures illustrate the difficulty of using raw job totals as a political trophy. A president can point to gains during a recovery, while critics can point to losses over a full term. Both may be using real figures, yet neither framing necessarily answers the more useful question: how did employment perform relative to the economic conditions at the time?
Economists also look beyond payroll counts. They examine labor-force participation, unemployment, wage growth, hours worked, the share of working-age people with jobs, population growth and whether hiring is concentrated in a few sectors. No single line on a chart captures all of that.
Competing claims need clear labels
Trump and Moore are entitled to make a case that their chosen measure better reflects the labor market. Supporters may argue that official payroll data miss important distinctions, including who is gaining jobs or whether employment growth is reaching particular groups of workers.
Critics have a straightforward response: a claim challenging the BLS should disclose its methodology and use data that can be independently reviewed. Without that transparency, it is difficult to know whether a chart identifies a meaningful trend or simply selects figures that support a desired conclusion.
There is also a difference between criticizing one monthly report and alleging that an entire statistical system is manipulated. The BLS publishes its methodology, releases revisions and employs career staff who produce data used by businesses, investors, state governments and economists across the political spectrum.
The unanswered question is verification
Moore’s graph may remain part of Trump’s economic messaging, particularly if it is used to argue that conventional job reports miss a broader change in the workforce. But the decisive test is not how persuasive the image appears at a news conference. It is whether the underlying Census data, formulas and comparisons can be made public and evaluated.
Until then, the chart should be read as an argument, not a settled finding. The strongest assessment of Trump’s job creation record will require transparent measures, consistent time periods and recognition that pandemic-era disruption makes simple presidential comparisons unusually difficult.
For readers trying to sort through rival claims, the practical takeaway is simple: check the source, the starting date, the definition of employment and whether the data are public. In a jobs debate built around a single graph, those details are often the real story.
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