A&E Attendances and Emergency Admissions 2022-23


The Monthly A&E Attendances and Emergency Admissions collection collects the total number of attendances in the calendar month for all A&E types, including Minor Injury Units and Walk-in Centres, and of these, the number discharged, admitted or transferred within four hours of arrival.

Also included are the number of Emergency Admissions, and any waits of over four hours for admission following decision to admit.

Data are shown broken down by System and at provider organisation level, from NHS Trusts, NHS Foundation Trusts and Independent Sector Organisations.

The future publication dates for the monthly statistics can be found on our 12 month calendar here.

A fuller analysis of the A&E data across NHS England and NHS Digital is available in the form of an annual report. This report draws on A&E data from both the Monthly A&E Attendances and Emergency Admissions Sitrep published by NHS England and the annual Hospital Episode Statistics data set published by NHS Digital. The Hospital Episode Statistics dataset is based on patient level data and so can be broken down in numerous ways that the Monthly Sitreps data cannot. This includes breakdowns of attendances and admissions by age and by diagnosis. The 2021-22 annual report can be found here. In addition, NHS Digital publishes monthly quality indicators which can be found here.

Further information for this collection, including the guidance document, can be found here

England Time Series

In addition to the monthly data, we have provided quarterly and monthly time series for users that require data over longer periods. It should be noted however that for periods prior to June 2015 both data sets are derived from a previous weekly collection.

The quarterly time series consists of 13 week aggregates for the periods from 2011-12 to Quarter 1 of 2015-16. Quarters after Quarter 1 of 2015-16 are based on aggregates of three calendar months. The Monthly time series prior to June 2015 is an estimate generated by apportioning the weekly totals based on how many days of the week fell into a particular month. This was produced in order to provide comparisons to months in previous years and should only be considered as an estimate.

Actual data for the A&E activity prior to June 2015 can be found in the weekly time series here.

Provider to System Mapping

System Mapping File (XLS, 71K)

Type 3 Attribution

Acute Trust Attribution File (XLS, 127K)


Statistical commentary February 2023 (PDF, 137K)

February 2023

February 2023 A&E by provider (XLS, 457K)
Monthly A&E February 2023 (CSV, 30K)
Non-Elective Admission Growth (XLS, 172K)

January 2023

Monthly A&E January 2023 (XLS, 449K)
Monthly A&E January 2023 (CSV, 29K)
Non-Elective Admission Growth (XLS, 172K)

December 2022

Monthly A&E December 2022 (XLS, 449K)
Monthly A&E December 2022 (CSV, 30K)
Non-Elective Admission Growth (XLS, 171K)
2022-23 Quarter 3: -3 Months to December (XLS,456K)

November 2022

Monthly A&E November 2022 (XLS, 447K)
Monthly A&E November 2022 (CSV, 30K)
Non-Elective Admission Growth (XLS, 171K)

October 2022

Monthly A&E October 2022 (XLS, 457K)
Monthly A&E October 2022 (CSV, 29K)
Non-Elective Admission Growth (XLS, 171K)

September 2022

Monthly A&E September 2022 (XLS, 456K) 
Monthly A&E September 2022 (CSV, 30K)
Non-Elective Admission Growth (XLS, 171K)
2022-23 Quarter 2: -3 Months to September (XLS,466K)

August 2022

Monthly A&E August 2022 (XLS, 458K) 
Monthly A&E August 2022 (CSV, 28K)
Non-Elective Admission Growth (XLS, 160K)

July 2022

Monthly A&E July 2022 (XLS, 446K) 
Monthly A&E July 2022 (CSV, 29K)
Non-Elective Admission Growth (XLS, 160K)

June 2022

Monthly A&E June 2022 (XLS, 439K)
Monthly A&E June 2022 (CSV, 29K)
Non-elective admission growth (XLS, 160K)
2022-23 Quarter 1: -3 Months to June (XLS,442K)

May 2022

Monthly A&E May 2022 (XLS, 439K)
Monthly A&E May 2022 (CSV, 29K)
Non-Elective Admission Growth (XLS, 160K)

April 2022

Monthly A&E April 2022 (XLS, 440K)
Monthly A&E April 2022 (CSV, 29K)
Non-Elective Admission Growth (XLS, 160K)