“Uncertainty.”
“Eroding trust.”
“A crisis in the making.”
These are phrases that experts increasingly use to describe the state of government data systems around the world.
“There is a new political climate that is weakening the credibility of official statistics,” says João Pedro Azevedo, chief statistician at UNICEF in New York City.
Official statistics are datasets collected and verified by national statistical agencies and international organizations. Almost every country has a government body responsible for compiling such data. These agencies gather information on a wide range of societal metrics, including income levels, employment rates, children’s academic performance, nutrition quality, healthcare wait times, air pollution, and temperature trends.
National statistics offices obtain data through surveys and other sources, which are then used to guide public policy, inform business decisions, and support research and advocacy efforts. Key indicators, such as gross domestic product (GDP), also serve as benchmarks for tracking progress on the United Nations’ 17 Sustainable Development Goals, a global framework to eradicate poverty and promote environmental sustainability.
“Official statistics are the backbone of a nation’s data infrastructure,” says Steve Pierson, director of science policy at the American Statistical Association in Washington, DC. “Like bridges or highways, they are fundamental—if they fail, everything else suffers.”
Professionals working in this field say today’s environment is unlike anything they have seen before. They attribute the current crisis to multiple overlapping factors: declining survey response rates, budget cuts, and, in some cases, political interference.
Although government-funded, statistical offices are meant to operate independently, allowing them to report data accurately without political pressure. International standards, endorsed by the UN, require that official statistics be impartial, evidence-based, and trustworthy.
Historically, governments have sometimes misused statistics, but agencies have also pushed back against such interference. However, some researchers fear that maintaining independence may become increasingly difficult. “It is becoming harder for statisticians to carry out their work objectively,” warns Diane Coyle, research director at the Bennett School of Public Policy at the University of Cambridge.
The situation varies across countries, but several nations are experiencing significant challenges.
United States: political interference and shrinking budgets
The US statistical system is approaching a critical juncture due to political pressure and cuts to funding, according to a December 2025 report by the American Statistical Association. Unlike most countries, the US does not have a single national statistical agency but rather 16 agencies and units under a chief statistician.
Long-term budget reductions have weakened these agencies over more than a decade, and political interference has intensified. In August 2025, former President Donald Trump abruptly dismissed Erika McEntarfer, head of the Bureau of Labor Statistics, after the agency reported an increase in unemployment. Statisticians decried the move as a direct threat to the independence of the federal statistical system.
Other challenges include the termination of long-standing datasets, such as the USDA’s 30-year survey on household food insecurity, which tracked millions of Americans unable to feed themselves adequately. Congress has intervened to restore funding to some agencies, like the National Center for Education Statistics, which is gradually rehiring staff.
Argentina: inflation data under scrutiny
Argentina’s statistical agency, INDEC, is widely known for its role in tracking inflation in a country historically plagued by high price increases. Between 2007 and 2015, INDEC’s data were criticized for political manipulation, prompting warnings from the IMF. After 2015, the agency regained some independence, but disputes over the methodology for calculating inflation have resurfaced under President Javier Milei.
INDEC planned to update its household expenditure survey to better reflect modern consumption patterns, but the government indefinitely delayed these changes, and the agency’s director resigned. Experts warn that failing to update the dataset undermines public trust in official inflation figures.
India: independence and transparency concerns
India’s statistical system has faced longstanding issues, including outdated economic data and underreporting of the informal sector. The IMF highlighted these gaps in a 2025 report. Recent reforms aim to improve data by updating base years and expanding survey coverage, but concerns remain about government influence and the opacity of statistical methods.
Researchers also note the lack of detailed methodological documentation for surveys, making it harder to assess the reliability of collected data. Nevertheless, access to public datasets has improved since 2017, with many previously costly datasets now freely available online. Still, experts stress the need to maintain the independence of statistical offices.
United Kingdom: autonomy with challenges
The UK’s Office for National Statistics (ONS) enjoys significant independence, which protects it from political interference but can create other difficulties. Low survey response rates, exacerbated by the COVID-19 pandemic, have led to drops in the quality of employment data. This prompted the regulator to halt verification of these figures, a move that affected key economic indicators used by institutions like the Bank of England.
Parliament is now reviewing the governance of UK official statistics, and recent reforms aim to strengthen data collection and improve response rates. A temporary civil-service post has been created to oversee ONS operations alongside the national statistician.
Across the globe, falling response rates, political meddling, and budget constraints are straining government statistical systems. Some countries are even considering outsourcing certain data functions to private companies—a shift that could further reduce transparency and reliability.
“Outsourcing raises serious questions,” Coyle warns. “Do we want private firms deciding what data is collected and shared?”
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