Warning: Experts Highlight Federal Government Data Infrastructure Concerns
In Suitland, Md., officials and data users are sounding the alarm about unstable funding threatening the federal statistical agencies, including the Census Bureau and the Bureau of Economic Analysis. These agencies play a vital role in tracking changes in the U.S. economy and population, providing crucial data for policymakers and businesses.
Impending Threats to Data Production
Budget shortfalls and short-term funding restrictions have already led to the termination of some datasets by the Bureau of Economic Analysis and proposals to reduce the number of participants surveyed by the Bureau of Labor Statistics for the monthly jobs report. These issues are exacerbated by the lack of multiyear funding, hindering efforts to modernize essential technology for producing accurate data.
Long-Term Funding Challenges
The Census Bureau, responsible for critical surveys and the upcoming 2030 headcount, is also facing uncertainty due to budget constraints. Concerns loom over potential cancellations of field tests that could impact the accuracy of future counts and the distribution of public funding across the country.
Expert Warnings and Calls for Action
Former BLS commissioner Erica Groshen likens the current state of government data infrastructure to “crumbling infrastructure,” highlighting the urgent need for sustained funding and modernization efforts. Without adequate resources, the quality of statistics could deteriorate, affecting policymaking and economic decisions.
Investing in Data for the Future
Experts like Nancy Potok emphasize the importance of investing in federal statistical agencies to maintain data integrity and relevance in a rapidly evolving economy. With looming threats to survey response rates and outdated methodologies, prioritizing funding for data modernization is crucial for accurate and timely information.
Future Challenges and Consequences
As the government faces decisions on funding allocations, concerns arise about the potential impact on critical initiatives like the 2030 census and the monthly jobs report. Changes in sample sizes and data collection methods could have far-reaching implications for research, policy analysis, and efforts to address issues of equity and representation.
As stakeholders navigate the complex landscape of data infrastructure, the need for sustained funding, modernization, and public engagement becomes increasingly evident. The fate of government data rests on strategic investments and proactive measures to ensure the reliability and relevance of statistics in shaping the future of the nation.
