This statistic depicts the average annual employee turn over rate in the United States in 2016 and 2017, as reported by human resources (HR) professionals. During the 2017 survey, respondents reported an average annual turnover rate of ** percent.

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.

Turnover data by fiscal year for the City of Tempe compared to the seven market cities which included Chandler, Gilbert, Glendale, Mesa, Phoenix, Peoria and Scottsdale. There are two totals, one with and one without retires.Please note that the Valley Benchmark Cities’ annual average is unavailable for FY 2020/2021 due to a gap in data collection during that year.Please note that corrections were made to the data, including historic data, due to additional review and research on the data on 10/2/2024.This page provides data for the Employee Turnover performance measure.The performance measure dashboard is available at 5.07 Employee Turnover.Additional InformationSource: Department ReportsContact: Lawrence La VictoireContact E-Mail: lawrence_lavictoire@tempe.govData Source Type: ExcelPreparation Method: Extracted from PeopleSoft and requested data from other cities is entered manually into a spreadsheet and calculations are conducted to determine percent of turnover per fiscal yearPublish Frequency:AnnuallyPublish Method: ManualData Dictionary

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.

The wholesale and retail trade sector in the United Kingdom had a combined turnover of more than *** trillion British pounds in 2024, more than double that of the manufacturing sector, the sector with the second-highest turnover at ****** billion pounds.

Voluntary employee turnover in business service centers in Poland in 2023 was nearly ** percent, with the highest turnover in the BPO sector.

In 2023, the attrition rate was the highest among employees working in financial services. It was followed by life sciences and consumer products sectors.

China Industrial Enterprise: Current Asset Turnover Ratio data was reported at 2.530 Times in 2014. This records a decrease from the previous number of 2.560 Times for 2013. China Industrial Enterprise: Current Asset Turnover Ratio data is updated yearly, averaging 2.466 Times from Dec 1999 (Median) to 2014, with 16 observations. The data reached an all-time high of 2.670 Times in 2008 and a record low of 1.470 Times in 1999. China Industrial Enterprise: Current Asset Turnover Ratio data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data.

Turnover in the wholesale of coffee, tea, cocoa and spices fell at an average rate of 0.9% per year in the period from 2019 to 2024. This weak development is partly due to the negative impact of the coronavirus pandemic on some of the industry's key sales markets. Hotels, restaurants, cafés and other catering establishments had to close temporarily as part of the infection control measures and therefore purchased fewer goods from wholesalers. Consumer behaviour and sales in the food service industry have been recovering since 2022. In the current year, IBISWorld expects turnover to grow by 0.3% to €7.8 billion.In recent years, society's environmental and sustainability awareness has increased along with household income. As a result, consumers have become more willing to spend more money on comparatively expensive fair trade and organic products, which has had a positive impact on the industry's sales. At the same time, however, more and more wholesalers' customers tried to set up their own value chains, thereby cutting costs for intermediaries. This trend had a negative effect on sales volumes and therefore also on the turnover of industry players. Another factor influencing the development of wholesale sales of coffee, tea, cocoa and spices is the development of commodity prices. As coffee is considered a staple food in Germany and demand for it remains stable even when prices rise, wholesalers can pass on cost increases in purchasing to their customers and thus achieve higher sales.Over the next five years, IBISWorld is forecasting average annual growth in industry turnover of 0.8%. This is expected to amount to 8.1 billion euros in 2029. It can be assumed that the industry will face increased pressure to source products from sustainable cultivation and fair trade due to the ongoing sustainability trend. The volatile development of commodity prices for coffee and cocoa is likely to continue to make it difficult to calculate procurement costs and resale prices in the future.

Romania - Turnover in services was 3.90 % year-on-year in September of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Romania - Turnover in services - last updated from the EUROSTAT on July of 2025. Historically, Romania - Turnover in services reached a record high of 34.40 % year-on-year in June of 2021 and a record low of -10.30 % year-on-year in June of 2020.

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.

Georgia Employment: Business Sector: by Enterprise Size: New Classification: Large data was reported at 237,280.000 Person in Mar 2018. This records an increase from the previous number of 235,742.000 Person for Dec 2017. Georgia Employment: Business Sector: by Enterprise Size: New Classification: Large data is updated quarterly, averaging 224,583.000 Person from Mar 2016 (Median) to Mar 2018, with 9 observations. The data reached an all-time high of 237,280.000 Person in Mar 2018 and a record low of 207,463.000 Person in Mar 2016. Georgia Employment: Business Sector: by Enterprise Size: New Classification: Large data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G005: Employment. Large size enterprise is an enterprise, where average annual number of employed exceeds 249 persons and/or volume of average annual turnover 60 million GEL

In recent years, the temporary employment sector in Germany has played a crucial role in the integration of refugees and foreign workers. These contributions underline its importance for the German labour market. Since 2023, however, the deteriorating economic situation has put considerable pressure on the industry. The economic slowdown led to a noticeable decline in industrial orders, which also reduced the demand for temporary workers. Between 2020 and 2025, industry turnover fell by an average of 0.5% per year. It is expected to fall by 1.9% to 28.4 billion euros in 2025. Profitability in the temporary staffing industry varies considerably depending on the business model. Companies such as Hays, which place specialised professionals such as engineers and IT experts, achieve higher profit margins as these professionals are in high demand and can achieve high hourly rates. The industry is currently facing the challenge of numerous companies having to cut staff in order to save costs. These job cuts are curbing demand for temporary staff and increasing the need for the industry to fundamentally rethink its business models. Even if the reformed Immigration Act could theoretically open up new prospects by facilitating access to international skilled labour, the actual benefit of these measures remains questionable given the general economic situation. In addition, although investments in digital solutions and process optimisation are urgently needed, they place a financial burden on companies and are associated with considerable uncertainty.The industry will face major challenges in the future, while the general economic outlook remains uncertain. Although the ongoing shortage of skilled labour could potentially offer opportunities, economic conditions are currently not ideal for expansion. An average annual decline in turnover of 0.2% is therefore expected over the next five years, meaning that industry turnover in 2030 is likely to amount to 28.2 billion euros. It is uncertain whether the measures taken to date, such as increased international recruitment and improved qualification programmes, will be sufficient to overcome the structural challenges. However, given these uncertainties, the temporary staffing industry should be able to maintain its position as a key provider of flexible labour solutions in Germany by adapting to new market conditions and developing innovative strategies.

Georgia Employment: Business Sector: by Enterprise Size: Large data was reported at 425,603.000 Person in Sep 2018. This records an increase from the previous number of 415,345.000 Person for Jun 2018. Georgia Employment: Business Sector: by Enterprise Size: Large data is updated quarterly, averaging 285,373.000 Person from Mar 2006 (Median) to Sep 2018, with 51 observations. The data reached an all-time high of 425,603.000 Person in Sep 2018 and a record low of 168,821.000 Person in Mar 2006. Georgia Employment: Business Sector: by Enterprise Size: Large data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G005: Employment. Large size enterprise is an enterprise, where average annual number of employed exceeds 100 persons and/or volume of average annual turnover 1.5 million GEL

Georgia Employment: Business Sector: by Enterprise Size: Medium data was reported at 88,584.000 Person in Jun 2018. This records a decrease from the previous number of 94,635.000 Person for Mar 2018. Georgia Employment: Business Sector: by Enterprise Size: Medium data is updated quarterly, averaging 74,985.000 Person from Mar 2006 (Median) to Jun 2018, with 50 observations. The data reached an all-time high of 115,713.000 Person in Dec 2017 and a record low of 51,101.000 Person in Dec 2011. Georgia Employment: Business Sector: by Enterprise Size: Medium data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G005: Employment. Medium size enterprises are all enterprises of organizational-legal form, where average annual number of employed ranges from 20 to 100 persons and average annual turnover – from 0.5 million to 1.5 million GEL

Georgia Employment: Business Sector: by Enterprise Size: Small data was reported at 152,598.000 Person in Jun 2018. This records an increase from the previous number of 135,293.000 Person for Mar 2018. Georgia Employment: Business Sector: by Enterprise Size: Small data is updated quarterly, averaging 106,867.500 Person from Mar 2006 (Median) to Jun 2018, with 50 observations. The data reached an all-time high of 152,598.000 Person in Jun 2018 and a record low of 54,777.000 Person in Mar 2009. Georgia Employment: Business Sector: by Enterprise Size: Small data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G005: Employment. Small size enterprises are all enterprises of organizational-legal form, where average annual number of employed does not exceed 20 persons and average annual turnover 0.5 million GEL

The tool manufacturing industry has been very volatile over the past five years. Its turnover has fallen by an average of 1.1% per year since 2019. In the current year, they are expected to increase by 0.7% compared to the previous year to 13.8 billion euros. The reason for the slight growth in turnover is the slow recovery of the global economy from the crises of recent years, which is increasing demand for industry products again. The main customers for tools are primarily found in the manufacturing industry. For example, the steel, automotive and chemical industries are among the sector's largest sales markets. Economic changes and fluctuations in the prices of raw materials required for tool manufacturing are some of the key factors influencing the industry's development.Although the industry is predominantly made up of small and medium-sized companies, it is characterised by a high degree of internationalisation thanks to a large number of foreign subsidiaries. Foreign trade is of great importance to the players. There is also intense competition in the industry. German manufacturers are exposed to strong competitive pressure, particularly from suppliers from Asian countries such as China. As labour costs there are significantly lower than in Germany, companies from these countries can offer the tools they manufacture at lower prices and flood the German market with products. Another problem for industry players is that some companies from Asia counterfeit tools from German manufacturers. Not only the products and safety-relevant components themselves are counterfeited, but also the packaging and quality seals.The barriers to market entry can be categorised as high due to strong competition, regulations and the high technical demands placed on the production of high-quality tools. There have hardly been any new entrants to the market recently. This situation is unlikely to change in the next five years. Industry turnover is likely to continue to grow at an average annual rate of 1.6% during this period, meaning that turnover is expected to reach €14.9 billion in 2029.

United Arab Emirates AE: Stocks Traded: Turnover Ratio of Domestic Shares data was reported at 17.978 % in 2017. This records a decrease from the previous number of 21.925 % for 2016. United Arab Emirates AE: Stocks Traded: Turnover Ratio of Domestic Shares data is updated yearly, averaging 27.921 % from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 66.639 % in 2014 and a record low of 16.009 % in 2011. United Arab Emirates AE: Stocks Traded: Turnover Ratio of Domestic Shares data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Financial Sector. Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Pakistan PK: Stocks Traded: Turnover Ratio of Domestic Shares data was reported at 29.975 % in 2016. This records a decrease from the previous number of 41.029 % for 2015. Pakistan PK: Stocks Traded: Turnover Ratio of Domestic Shares data is updated yearly, averaging 143.199 % from Dec 1996 (Median) to 2016, with 21 observations. The data reached an all-time high of 467.950 % in 2000 and a record low of 0.735 % in 2014. Pakistan PK: Stocks Traded: Turnover Ratio of Domestic Shares data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Financial Sector. Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.