What We Found
Nearly every data user has been impacted.
Fully 93% of respondents say that changes to federal statistical data have affected their ability to do their job — 54% report major impacts.
Disruptions include delayed data releases, canceled programs, reduced technical assistance, and threats to data quality that have cascaded into project delays, scaled-back research, and job losses across the research community.
Workarounds exist, but none are adequate.
Data users are turning to older datasets, state and local data, private sources, and statistical modeling to compensate for gaps. Almost universally, respondents described these as imperfect substitutes. Many said plainly: there is no replacement for high-quality federal data.
The federal workforce crisis is central to the problem.
Respondents repeatedly cited staff reductions — in some agencies as steep as 30–40% — as a root cause of the disruptions they experience. The loss of institutional knowledge, reduced technical assistance, and delays in data approvals and releases all trace back to a workforce under severe strain, and a data user community facing struggling to get the information they need.
Concerns about the future are nearly universal.
Nearly 80% of respondents are very concerned that federal statistical data collections will be stopped.
More than 70% worry about public trust in federal data, and a similar share express concerns about their ability to access federal data products going forward.
These are not abstract concerns — respondents describe real consequences for communities, policymakers, and the economy.