One year on: is the government on track to meet its waiting times pledge?
Key points
- The government has made bringing down waiting times for elective care its key target for the NHS in England, aiming for 92% of waits to be within 18 weeks by the end of the parliament.
- Our analysis of recent trends projects that, if referrals and removals continue growing at the same pace, the government would make significant progress in reducing waiting times – but would fall just short of delivering on its headline pledge.
- Overall, the waiting list is in slightly better shape than when the government took up office. In the government’s first year in power, the percentage of waits within 18 weeks improved slightly from 58.8% to 61.3% and the total waiting list decreased from 7.6 million to 7.4 million.
- Referrals onto the waiting list increased by 1.5% and removals from the waiting list rose by 2.3% in August 2024 to July 2025, compared with the previous year. If these trends continue, we estimate that 92% of waits would last less than 20.3 weeks by the end of the parliament.
- If referrals continue to grow at 1.5%, removals would need to increase by 2.5% per year to achieve 92% of waits within 18 weeks by the end of this parliament. If referrals grow faster than this – as seems likely – removals would need to grow faster still.
- However, it is too early to draw any firm conclusions about whether the government will deliver on its pledge. It is possible that other factors will have an impact on these trends and – positively or negatively – affect progress towards the target.
Figure 1
- Patients are added onto the waiting list through referrals from GPs, consultants or other referring clinicians.
- Patients are taken off the waiting list through ‘removals’ – reported or unreported:
- Reported removals (‘completed pathways’) include pathways completed by starting first treatment, a clinical decision not to treat, a patient declining treatment, or initiation of active monitoring. Some completed pathways include hospital admissions for treatment (‘completed admitted pathways’), while others do not (‘completed non-admitted pathways’).
- Unreported removals are waits that are removed from the waiting list without being reported as a completed pathway. These likely include care pathways that are completed but only removed from the waiting list a few months later, which are not counted in the data as completed pathways. They may also include patients not attending their first appointment after referral (and so are removed from the waiting list) and data glitches related to e-referrals, which may be deleted from the waiting list after 180 days without activity. It is impossible to know how much each of these categories contributes to unreported removals using publicly available data.
Between August 2024 and July 2025, referrals onto the waiting list grew by 1.5% (from 20.8 million to 21.1 million) compared with the same period the year before, while total removals from the waiting list increased faster, by 2.3% (from 20.8 million to 21.3 million). It is worth noting that unreported removals increased by 3.9% in this period, faster than the growth in reported removals (2.1%) and a key driver of the growth in total removals.
As inpatient capacity has been a bottleneck in tackling waiting lists, it is encouraging that completed pathways ending in inpatient treatment increased faster (5.1%) than pathways not requiring admission to hospital (1.3%).
If referrals and total removals continue to grow at similar rates for the next 4 years, we estimate the widening gap between referrals and total removals would reduce the elective waiting list to 4.7 million by the time of the next election. With more people being removed from the waiting list than referred onto it, waiting times would also decrease: if current rates persist, we project that 92% of waits will be within 20.3 weeks by the end of the parliament – similar to waiting times last seen in late 2017, but falling short of meeting the 18-week target by the end of the parliament (Figure 2; also see Technical appendix). This is not a prediction of what will happen, but rather a projection if current trends continue.
Figure 2
We are grateful to the Elective Recovery Analysis and Modelling team at NHS England for sharing its estimates of the uplift to correct for the publication lag of data on A&G pre-referral diversions. Thank you to Tatjana Marks for quality assuring the data analysis.