The employee attrition rate of professional services organizations worldwide ********* overall between 2013 and 2023, despite some fluctuations. During the 2023 survey, respondents reported an average employee attrition rate of **** percent.

In 2024, the average staff turnover rate of hospitals in the U.S. stood at **** percent. The percentage of employees leaving hospitals has decreased since the peak of ** percent in 2021. A closer look at turnover reveals that most was among less tenured staff, with the highest rates among certified nursing assistants.

In 2024, the average turnover rate for registered nurses that worked in hospitals across the United States stood at **** percent. This was lower than the turnover rate of **** percent in 2022. According to this survey, the percentage of registered nurses (RN) that left hospitals in 2023 ranged from roughly ** percent to nearly ** percent, depending on the discipline. The highest RN turnover was found among Telemetry nurses. On the other hand, RN turnover was the lowest in Pediatrics.

Virginia had 263,000 job openings in September 2023, compared to 264,000 openings in August.The ratio of unemployed persons per job opening in Virginia was 0.4 in September. The ratio has been less than 1.0 in Virginia since January 2021. Nationwide, 40 states and the District of Columbia had ratios in September that were lower than the national ratio of 0.7 unemployed persons per job opening; 7 states had ratios that were higher than the national ratio, and 3 states had ratios equal to the national measure.In September, Virginia had 163,000 hires and 145,000 separations, compared to 154,000 hires and 158,000 separations in August.Over the 12 months ending in September, hires have averaged 172,000 per month and separations have averaged 163,000 per month. These averages include workers who may have been hired and separated more than once during the year.Among the September separations in Virginia, 100,000 were quits and 40,000 were layoffs and discharges, compared to 108,000 quits and 40,000 layoffs and discharges in August.Over the last 12 months, quits averaged 111,000 per month, ranging from 95,000 to 134,000. Layoffs and discharges have averaged 44,000 per month, ranging from 33,000 to 59,000.

The average retention rate of multifamily companies in the United States declined slightly in 2023. In that year, the retention rate was ** percent, down from ** percent in the previous year. In 2021, the retention rate was even lower, at ** percent. High customer turnover results in various costs, such as missed rent and repair costs.

Italy - Turnover in services was 2.70 % year-on-year in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Italy - Turnover in services - last updated from the EUROSTAT on July of 2025. Historically, Italy - Turnover in services reached a record high of 33.60 % year-on-year in June of 2021 and a record low of -26.20 % year-on-year in June of 2020.

In 2023, employee attrition rates decreased in the Americas and EMEA regions, however increased in the ACAP region. The Americas showed a decrease of 1.2 percent, with the ACAP region demonstrating a 3.3 percent increase. Relatively, however, these percentages were some of the best recorded between 2015 and 2023.

In 2023, Madrid was the Spanish autonomous community with the highest average turnover per company in the biotechnology sector, with approximately **** million euros. Catalonia and Aragon followed, with a median turnover of about **** million and **** million euros that year. As of that date, Catalonia and Madrid concentrated the highest number of biotech companies in the European country.

In 2024, the average turnover rate of all registered nurses (RNs) in U.S. hospitals stood at **** percent. The percentage of employees leaving hospitals has decreased since 2021 and for the first time it stands at a lower percentage than in 2020. At the same time, the turnover rate of all hospital staff was **** percent. For RNs who were full or part-time employees, turnover was consistently lower.

Belarus Retail Turnover Rate: OT: Foreign data was reported at 28.100 % in 2024. This records an increase from the previous number of 26.600 % for 2023. Belarus Retail Turnover Rate: OT: Foreign data is updated yearly, averaging 7.650 % from Dec 1995 (Median) to 2024, with 26 observations. The data reached an all-time high of 28.100 % in 2024 and a record low of 0.200 % in 1995. Belarus Retail Turnover Rate: OT: Foreign data remains active status in CEIC and is reported by National Statistical Committee of the Republic of Belarus. The data is categorized under Global Database’s Belarus – Table BY.H004: Retail Turnover Rate.

Belarus Retail Turnover Rate: OT: Private data was reported at 63.700 % in 2024. This records a decrease from the previous number of 64.600 % for 2023. Belarus Retail Turnover Rate: OT: Private data is updated yearly, averaging 74.150 % from Dec 1995 (Median) to 2024, with 26 observations. The data reached an all-time high of 83.000 % in 2005 and a record low of 62.700 % in 1995. Belarus Retail Turnover Rate: OT: Private data remains active status in CEIC and is reported by National Statistical Committee of the Republic of Belarus. The data is categorized under Global Database’s Belarus – Table BY.H004: Retail Turnover Rate.

Belarus Retail Turnover Rate: Ownership Types (OT): State data was reported at 8.200 % in 2024. This records a decrease from the previous number of 8.800 % for 2023. Belarus Retail Turnover Rate: Ownership Types (OT): State data is updated yearly, averaging 13.700 % from Dec 1995 (Median) to 2024, with 26 observations. The data reached an all-time high of 37.100 % in 1995 and a record low of 8.200 % in 2024. Belarus Retail Turnover Rate: Ownership Types (OT): State data remains active status in CEIC and is reported by National Statistical Committee of the Republic of Belarus. The data is categorized under Global Database’s Belarus – Table BY.H004: Retail Turnover Rate.

Abstract copyright UK Data Service and data collection copyright owner.

The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

Linking to Other Business Studies
These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

Main Topics:

The following variables are available for enterprises and local units:

• employment (and employees)
• turnover
• Standard Industrial Classification (1992, 2003 and 2007 classifications are available)
• legal status (e.g. sole proprietor, partnership, public corporation, non-profit organisation etc)
• foreign ownership
• birth (company start date)
• death (termination date of trading)
• various geographical variables
  

'Employment' includes business owners, whereas 'employees' measures the number of staff, excluding owners.

Observations for enterprises also include a variable for ownership if the enterprise is part of a large group of companies.

Local units have an additional ‘death code’ variable, which serves as an indicator as to why the plant closed (e.g. as a result of a merger). It should also be noted that there is no turnover information for individual plants. This is because the ONS does not collect financial information at the plant level, which is notoriously difficult, especially for manufacturing plants where often no financial transactions are processed.

The birth and death variables are particularly useful for research, although it should be noted that for businesses that began trading before 1973, their birth date will be set to 1973. This is the year that VAT was introduced in the UK, and hence the first point in time for VAT registration for these companies. Companies that began trading since 1973 have their ‘real’ date of birth listed.

Indicator : UK Business CountTheme : PlaceSource : Office for National Statistics (ONS) - UK Business CountsFrequency : AnnualDefinition : Snapshot of March each year data - enterprises that had either turnover or employment. This dataset covers the Black Country area by turnover sizeband between 2010-2023.Latest Period : 2023Released : September 2023Next Update : To be announcedLink:https://www.ons.gov.uk/businessindustryandtrade/business/activitysizeandlocation/bulletins/ukbusinessactivitysizeandlocation/2023

This report shows monthly numbers of NHS Hospital and Community Health Services (HCHS) staff working in NHS Trusts and other core organisations in England (excluding primary care staff). Data are available as headcount and full-time equivalents and for all months from 30 September 2009 onwards. These data are a summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and other core organisations and information for NHS Support Organisations and Central Bodies are published each: September (showing June statistics) December/January (showing September statistics) March (showing December statistics) June (showing March statistics) Quarterly NHS Staff Earnings, monthly NHS Staff Sickness Absence reports, and data relating to the General Practice workforce and the Independent Healthcare Provider workforce are also available via the Related Links below. Please note: We intend ceasing publication of the GPs in alternative settings data file as of next month (May data) meaning April 2023 will be the last issue of these data. Please contact us if you require access to these data on an ongoing basis. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating Monthly HCHS Workforce as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678.

As of 2004, the total bond turnover rate on Euronext was roughly **** billion euros. This amount steadily decreased to almost one-third of the value, reaching **** billion euros in 2017. A spike was encountered from 2018 to 2019 as the total bond turnover rate reached almost ** billion euros. However, this amount soon decreased as levels rested at around ** billion euros by the year-end of 2022. The turnover rate provides insight into how often assets are bought and sold. Bonds are a debt security used by local governments, agencies, or large organizations to raise funds with the intent of paying bondholders back at a later time with added interest. Bond trading levels are typically higher than other securities such as actively managed funds. Due to this, the turnover rate is typically higher than many equity securities.

CN: IRS: Turnover: Overnight SHIBOR: 9 Month data was reported at 50.000 RMB mn in 23 Dec 2024. This stayed constant from the previous number of 50.000 RMB mn for 20 Dec 2024. CN: IRS: Turnover: Overnight SHIBOR: 9 Month data is updated daily, averaging 100.000 RMB mn from Apr 2021 (Median) to 23 Dec 2024, with 10 observations. The data reached an all-time high of 300.000 RMB mn in 28 Jun 2023 and a record low of 50.000 RMB mn in 23 Dec 2024. CN: IRS: Turnover: Overnight SHIBOR: 9 Month data remains active status in CEIC and is reported by National Interbank Funding Center. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MG: National Interbank Funding Centre (NIFC): Interest Rate Swap: Turnover: Daily.

China Railway: Freight Turnover: National Railway: Coal data was reported at 1,779,007.000 Ton-km mn in 2023. This records an increase from the previous number of 1,720,629.889 Ton-km mn for 2022. China Railway: Freight Turnover: National Railway: Coal data is updated yearly, averaging 741,632.316 Ton-km mn from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 1,779,007.000 Ton-km mn in 2023 and a record low of 341,418.000 Ton-km mn in 1991. China Railway: Freight Turnover: National Railway: Coal data remains active status in CEIC and is reported by China Railway Corporation, National Railway Administration. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TC: Railway: Freight Traffic: by Category of Cargo.

This is the latest compendium publication in the NHS Vacancy Statistics series containing vacancy related data for the NHS which provide four different views on recruitment information for the NHS. Data from NHS Jobs, the Electronic Staff Record (ESR) and Trac Recruitment Management Software (Trac) provide a range of proxy data sources for NHS vacancies. The series also includes management information related to vacancies within the NHS which have been collected by NHS England (NHSE). Users should note these data do not indicate how much of the reported substantive gap is filled by temporary staff. Due to the complex nature of how NHS vacancy data is defined and collected, all data sources should be treated with a degree of caution. The data visualisation resource included within this edition of the publication is designed to give users immediate insight into different outcomes at Regional aggregations and can be found below the Key Facts. As with all elements of the publication, we welcome feedback on this as we continue to investigate ways of gaining maximum value from the data. To help with the development of this publication, feedback can be sent to: enquiries@nhsdigital.nhs.uk with the subject heading ‘NHS Vacancy Statistics publication feedback’.

China Railway: Freight Turnover: National Railway: Petroleum data was reported at 86,573.000 Ton-km mn in 2023. This records an increase from the previous number of 79,726.201 Ton-km mn for 2022. China Railway: Freight Turnover: National Railway: Petroleum data is updated yearly, averaging 89,996.000 Ton-km mn from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 120,986.377 Ton-km mn in 2010 and a record low of 43,769.000 Ton-km mn in 1991. China Railway: Freight Turnover: National Railway: Petroleum data remains active status in CEIC and is reported by China Railway Corporation, National Railway Administration. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TC: Railway: Freight Traffic: by Category of Cargo.