New economic assessments suggest the United Kingdom’s productivity may have been systematically underestimated, potentially altering the economic narrative since the current government took office. A recent report from the Centre for Economic Performance at the London School of Economics (LSE) indicates a significant pickup in productivity growth, challenging previous projections that had contributed to a sense of economic stagnation.
Revised Productivity Figures Suggest Stronger Economic Performance
The latest analysis points to an annual productivity growth rate of approximately 1.6% since mid-2024. This figure contrasts sharply with the average of 0.3% observed over the preceding decade. Such a revision, if sustained, could significantly reshape perceptions of the UK’s economic health and the effectiveness of recent policy measures.
This new outlook emerges against a backdrop where the government had previously grappled with downgraded productivity forecasts. The Office for Budget Responsibility (OBR), relying on official data, had revised its annual growth projections downwards from 1.3% to 1%. This recalibration had implications for public finances, as lower productivity growth typically translates to reduced tax revenues and a wider budget deficit. The OBR’s adjustment was attributed to the slow recovery of productivity following the 2008 global financial crisis, rather than specific government actions.
However, the economic landscape painted by the LSE study, co-authored by former advisors to the previous chancellor, including John Van Reenen and Anna Valero, offers a markedly different perspective. Their research highlights potential issues with the data used to measure the UK’s workforce and output.
Data Discrepancies and Their Impact on Economic Assessments
Productivity is fundamentally measured by the output generated per worker. The UK’s statistical agencies have faced challenges in accurately capturing the size of the workforce in recent years. The Office for National Statistics (ONS) withdrew the accredited official statistic status from its Labour Force Survey (LFS) in 2024 due to a significant drop in response rates from the public.
The OBR’s calculations are based on this LFS data. In contrast, the LSE researchers utilized an alternative methodology. They drew upon estimates from the Resolution Foundation thinktank, which in turn uses a dataset derived from information companies provide to tax authorities via the PAYE system, supplemented with other sources to include the self-employed.
The divergence in these datasets is substantial. While the LFS indicated an increase of 377,000 employees since mid-2024, the tax-based measure reported a decrease of 133,000 employees over the same period. This discrepancy raises questions about the actual size and composition of the UK’s employed population.
Implications of Data Quality on Policy and Perception
If the tax-based data offers a more accurate reflection of employment, it suggests that productivity has not been stagnating but has instead experienced a notable increase. This possibility implies that the OBR’s downgrade, which created significant challenges for the previous chancellor and contributed to a perception of an economy facing intractable long-term issues, might have been based on flawed information. The need for substantial tax increases to meet fiscal targets and fund policy commitments could have been less acute.
John Van Reenen commented on the findings, stating, “The best current guess does suggest we are getting more out of our workers than we used to.” He further suggested that this improvement is likely not solely due to the dismissal of lower-skilled workers, which would artificially inflate average productivity, but rather represents a genuine increase in output. “I don’t think that’s the main story: a chunk of this appears to be real,” he noted.
Potential Drivers of Productivity Growth and Future Outlook
While it is premature to definitively identify the drivers of this potential productivity uplift or confirm its sustainability, researchers are exploring various hypotheses. One prominent theory is that artificial intelligence (AI) is beginning to yield positive results in certain economic sectors. “It’s certainly a possibility that we are seeing the first signs of that starting to happen,” Van Reenen remarked.
Van Reenen also pointed to the previous government’s policies, such as increased public investment and the streamlining of planning regulations, as potential factors that could support continued productivity improvements. Additionally, recent official GDP figures showed a strong rise in business investment, a key determinant of productivity, although experts cautioned that this trend could be affected by factors like high energy prices.
Urgent Need for Data System Reform
Regardless of the future trajectory, the significant disparity between the official LFS data and alternative measures underscores the critical need to address deficiencies in the UK’s labor market statistics. The ONS has been working on a new, online version of the LFS, designed to be more efficient and potentially yield more accurate results. This updated survey, which takes approximately 15 minutes to complete compared to the 40-45 minutes for the current phone-based questionnaire, is expected to be implemented next year.
However, the ONS acknowledged that the redesigned survey might produce slightly different outcomes, including potentially lower reported levels of long-term sickness. The transition to this new version is not anticipated before November of the following year. The prolonged vacancy of the National Statistician position, the head of the ONS, since May 2025, has also raised concerns about the urgency with which these data challenges are being addressed at a governmental level.
While some of the economic difficulties encountered by the previous administration were self-imposed, the evidence suggests that reliance on potentially inaccurate data may have exacerbated challenges and influenced policy decisions. As the former chancellor transitions to the back benches, the impact of flawed data on economic management and public perception is a significant consideration.
