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The short version

  • An independent monitoring group reports that nearly four hundred federal datasets have been deleted or altered over the past eighteen months.
  • Health-related information is disproportionately affected, with significant changes to surveys tracking HIV, violence, and substance abuse trends.
  • Experts warn that removing these data points erodes institutional memory and hampers the ability to respond to emerging public health crises.

A significant portion of the federal government’s statistical infrastructure has been dismantled or modified in recent months, according to a new analysis by an independent group of data policy experts. The tracker, maintained by dataindex.us, identifies at least twenty-eight datasets that have been completely removed and another three hundred thirty-eight collections that have undergone substantial changes. This widespread alteration spans more than sixty federal agencies, covering critical areas such as public health, labor markets, law enforcement accountability, and environmental monitoring.

The most severe impact appears to be within the health sector, which accounts for approximately forty percent of all tracked deletions or modifications. Multiple surveys conducted by the Centers for Disease Control and Prevention have eliminated questions regarding gender identity. These changes align with executive orders aimed at restricting federal recognition of gender ideology. Affected instruments include the National HIV Surveillance System, the primary source for tracking infection rates, as well as systems monitoring violent deaths, diabetes prevention efforts, and intimate partner violence.

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Beyond the removal of specific demographic questions, several vital surveillance systems have ceased updating entirely. The Substance Abuse and Mental Health Administration’s Drug Abuse Warning Network, which previously provided near-real-time data on drug-related emergency room visits, is no longer being refreshed. Public health specialists argue that this interruption prevents researchers from identifying emerging overdose trends or understanding which populations are most vulnerable to specific conditions. Without continuous data streams, the ability to detect the early stages of epidemics is severely compromised.

The consequences extend beyond health metrics into economic and educational domains. The Department of Agriculture has discontinued its twice-annual survey of farm employers, a dataset that historically informed minimum wage determinations for H-2A visa workers. Similarly, the National Center for Education Statistics has stopped updating surveys on the compensation and working conditions of teachers and principals in both public and private schools. These gaps leave policymakers without current information on labor standards and educational workforce stability.

Experts emphasize that the loss of these datasets represents more than a temporary inconvenience; it constitutes an erosion of institutional memory. Thomas Babor, a professor emeritus at the University of Connecticut specializing in public health, noted that historical data is essential for comparing current trends against past epidemics. Understanding how previous responses impacted outcomes requires a continuous record. Removing or altering these records makes it difficult to assess whether current interventions are effective or if they are repeating past mistakes.

The scope of the damage is difficult to quantify precisely because federal agencies are not required to notify the public when data collections are terminated. Some datasets have simply stopped updating due to staffing shortages, while others were quietly removed from government websites with little fanfare. Distinguishing between routine updates and permanent deletions is challenging, as many federal databases undergo regular maintenance. The lack of transparency makes it hard for researchers, journalists, and the public to know exactly what information has been lost.

The monitoring group behind the tracker was formed in response to these difficulties. Co-founders Denice Ross, a former chief data scientist under the Biden administration, and Christopher Dick, a former Census Bureau official, launched the initiative to answer whether specific datasets with significant impacts on American communities were being systematically removed. They combined research into dataset usage, crowdsourced reports from media and government employees, social media monitoring, and tracking of regulatory notices to compile their findings.

The implications of this data vacuum are profound for evidence-based governance. Denice Ross described the current situation as a vulnerable point for the nation, warning that future decision-making may lack the necessary information to save lives or benefit communities. As the administration continues to prioritize certain narratives over others, the foundational data required to understand complex social and health issues is disappearing. The long-term effects of this erosion on public trust and policy effectiveness remain uncertain but potentially severe.

What comes next depends on whether these changes are permanent or reversible. If the datasets are not restored, researchers will face significant hurdles in conducting longitudinal studies. Policymakers may be forced to rely on outdated information or incomplete proxies, leading to less effective interventions. The ongoing monitoring by dataindex.us suggests that the situation is dynamic, with new deletions and alterations potentially occurring as administrative priorities shift. The integrity of federal data remains a critical issue for democratic accountability.

This development highlights a broader tension between political objectives and scientific neutrality. When data collection is influenced by ideological preferences rather than empirical necessity, the resulting information becomes unreliable. The removal of metrics on queer and trans populations, farmworker wages, and teacher salaries reflects a deliberate choice to exclude certain realities from official records. As these gaps widen, the ability of civil society to hold government accountable diminishes, leaving communities without the tools needed to advocate for their needs.

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  • The Guardian US↗Trump 2.0 has deleted or altered nearly 400 US datasets, endangering public health, education and more