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.

FIS' quarterly revenue increased by nearly ***** percent in Q2 2024 compared to the previous year. FIS, or Fidelity National Information Services, is a U.S. fintech company that provides payment processing services to retail and banking. It is the company that took over Worldpay in 2019, but then sold it in January 2024. FIS ranked as the third-largest merchant acquirer in the United States in 2022, based on the number of transactions processed.

Teacher Retention April 24, 2020 Topics: Teacher Perception, Teacher Retention, Teacher Dissatisfaction, Teacher Empowerment, Teaching Attitudes, Teacher Resilience

To cement the reality that there are data-supported issues that exist beyond the teacher, which result in teacher attrition and dissatisfaction within the field of education, the following are a few statistics that have driven our resolve and fueled the need for solutions: “Roughly half a million US teachers leave the profession each year -- a turnover rate of over 20% [Alliance for Excellent Education, 2014]” (Aguilar, 2018). “Teacher attrition among first-year teachers has increased about 40% in the past two decades (Ingersoll, Merrill, and Stuckey, 2014). A range of factors , such as morale, accountability, expectations, and salaries, certainly contribute to the attrition problems, but stress and poor management of stressors are also rated as a top reason why teachers leave the profession (Carver-Thomas and Darling-Hammond, 2017)” (Aguilar, 2018). “The rate of attrition is roughly 50 percent higher in poor schools than in wealthier ones” (Alliance for Excellent Education). “This [teacher attrition] rate is much higher in urban areas, in secondary classrooms, and in hard-to-staff content areas such as special education, math, science, and foreign languages (Carver-Thomas and Darling-Hammond, 2017)” (Aguilar, 2018). “It is estimated that teacher turnover costs school districts upwards of $2.2 billion per year (Alliance for excellent education, 2014) and the cost of replacing a teacher in an urban district exceeds $20,000 per teacher (Carver-Thomas and Darling-Hammond, 2017). For site administrators, turnover rates may be comparable, particularly in urban areas, but the data is not systematically collected as it is for teacher attrition” (Aguilar, 2018). “Of the 3,377,900 public school teachers who were teaching during the 2011–12 school year, 84 percent remained at the same school ("stayers"), 8 percent moved to a different school ("movers"), and 8 percent left the profession ("leavers") during the following year” (National Center for Education Statistics, 2014). “Among public school teachers with 1–3 years of experience, 80 percent stayed in their base-year school, 13 percent moved to another school, and 7 percent left teaching in 2012–13” (National Center for Education Statistics, 2014). “Among public school teacher movers, 59 percent moved from one public school to another public school in the same district, 38 percent moved from one public school district to another public school district, and 3 percent moved from a public school to a private school between 2011–12 and 2012–13” (National Center for Education Statistics, 2014).

In 2017, pedicures visiting patients at home had the lowest average turnover of the practice types considered. On average, these pedicures made over 10,000 euros less per year than pedicures working from a professional property, such as a pedicure parlor.

Monthly Business Survey production industries' total turnover, domestic sales and exports in the UK. Figures are in current price and are non-seasonally adjusted.

Hong Kong Turnover: Value: Average Daily data was reported at 87,642.680 HKD mn in 2017. This records an increase from the previous number of 66,448.880 HKD mn for 2016. Hong Kong Turnover: Value: Average Daily data is updated yearly, averaging 3,966.860 HKD mn from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 104,599.020 HKD mn in 2015 and a record low of 20.600 HKD mn in 1970. Hong Kong Turnover: Value: Average Daily data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z008: Main Board: Stock Statistics.

Romania Passenger Turnover: IN: Rail: National data was reported at 1,520.000 Person-km mn in Dec 2017. This records a decrease from the previous number of 1,600.000 Person-km mn for Sep 2017. Romania Passenger Turnover: IN: Rail: National data is updated quarterly, averaging 1,531.500 Person-km mn from Mar 2003 (Median) to Dec 2017, with 60 observations. The data reached an all-time high of 2,611.000 Person-km mn in Sep 2004 and a record low of 880.000 Person-km mn in Mar 2012. Romania Passenger Turnover: IN: Rail: National data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Romania – Table RO.TA001: Passenger Traffic.

Italy Borsa Italiana: Turnover: Daily Average data was reported at 2,476.700 EUR mn in 2017. This records an increase from the previous number of 2,438.800 EUR mn for 2016. Italy Borsa Italiana: Turnover: Daily Average data is updated yearly, averaging 392.000 EUR mn from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 6,248.400 EUR mn in 2007 and a record low of 2.000 EUR mn in 1977. Italy Borsa Italiana: Turnover: Daily Average data remains active status in CEIC and is reported by Italian Stock Exchange. The data is categorized under Global Database’s Italy – Table IT.Z006: Stock Exchange Statistics: Annual.

This statistic shows the turnover rate in emergency shelters and transitional housing programs in the United States from 2007 to 2017. In 2017, the turnover rate in emergency shelters was *** percent, a decrease from *** percent in 2007.

This table presents information about developments in production and turnover in industry (excl. construction), SIC 2008 sections B - E. The data can be divided by a number of branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008). The results are expressed in terms of indices with base year 2010. Changes on the same period in the previous year are also published. Turnover can be broken down into value, price and volume. The data can be divided by a number of branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008). The results are expressed in terms of indices with base year 2010. Year-on-year changes are also published. Seasonally and working-day adjusted month-on-month/quarter-on-quarter turnover and volume data are also available. These are more comparable over time and reflect the underlying trend better.

Data available from: January 2005. Status of the figures: Production and average daily production: The first provisional results are published by CBS within six to eight weeks after the end of the reporting month . Until 70 days after the end of a quarter, the provisional figures may change as a result of subsequent response. The figures normally won’t be adjusted until, no later than twelve months after the end of the year , the last observed response is processed. Turnover and average daily turnover: The first provisional results are published by CBS within six to eight weeks after the end of the reporting month . Until 70 days after the end of a quarter, the provisional figures may change as a result of subsequent response. The figures normally won’t be adjusted until, no later than twelve months after the end of the year , the last observed response is processed. Seasonally adjusted average day production and seasonally adjusted average day turnover : the indices and developments of the seasonally adjusted figures of the four most recent months are provisional. Within a year the figures are provisional until publication of the final figures for the year , no later than twelve months after the end of the year.

Changes as of 10 October 2018: Production figures of industry for the month August 2018 have been added.

Changes as of 8 June 2018: Production figures of industry for the month April 2018 have been added. The figures of 2017 are final.

Changes as of 15 June 2017: For the calculation of the average day and seasonal adjusted turnover new setups have been implemented from January 2015 onwards. Now that the new setups have come available average day and seasonal adjusted turnover will be published again from January 2015 onwards. The figures of 2015 and 2016 are final.

Changes as of 9 June 2017: Turnover and production figures of industry for the month April have been added. The regular production-index series have been adjusted to the weights of the National Accounts 2016 data from January 2017 onwards. In this annual release, according to standard procedure, new setups have been implemented for the calculation of average day and seasonal adjusted production from January 2016 onwards.

When will new figures be published?

Turnover figures in this table will be replaced by a new table on 12 March 2018 due to the five-yearly change of the base year. After completing the base year change for production figures this whole table will be replaced. For the link to the new table see section 3.

Abstract copyright UK Data Service and data collection copyright owner.

The Longitudinal Inter-Departmental Business Register, 2007-2017: Secure Access has been created by the Department for Business, Energy and Industrial Strategy using extracts of the Inter-Departmental Business Register (IDBR). The IDBR is a comprehensive list of UK businesses used by government for statistical purposes. The IDBR provides the main sampling frame for surveys of businesses carried out by the Office for National Statistics (ONS) and other government departments. It is also an important data source for analyses of business activities. The IDBR covers 2.6 million businesses in all sectors of the UK economy, other than very small businesses (those without employees and with turnover below the tax threshold) and some non-profit making organisations. The two main sources of input are the Value Added Tax (VAT) system from HMRC (Customs) and Pay As You Earn (PAYE) from HMRC (Revenue). Additional input comes from Companies House, Dun and Bradstreet and other business surveys.

The Longitudinal IDBR contains an extracted 'employees' dataset and an extracted 'turnover' dataset which can both be used to look at growth patterns. Further information about how the datasets have been created are available in the Documentation.
Linking to other business studiesThese 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.
Main Topics:

The Longitudinal Inter-Departmental Business Register, 2007-2017: Secure Access contains an 'employees' dataset and a 'turnover' dataset.
The 'employees' dataset includes the following variables:

• entrer IDBR Enterprise Reference
• emp_likely_year Year employees data refers to
• ent_status Whether business is active or inactive for that year
• employeesq Number of employees
• extract_year Year of IDBR extract the emplyees or payejobs figure is from
• ent_emp_qual Quality flag for the data
• sic2007 2007 Standard Industrial Classification
• legalstatus Legal Status
• payejobs Number of open PAYE records in extract year
• workprop Numer of working proprietors in extract year

The 'turnover' dataset includes the following variables:

• entref IDBR Enterprise Reference
• sic2007 2007 Standard Industrial Classification
• legalstatus Legal status of the enterprise in the extract year
• extract_year Year of the IDBR extract which the turnover figure is from
• turnover Turnover of the enterprise in £,000
• ent_status Whether the business is active or inactive for that year
• ent_turn_qual Quality flag
• turn_likely_year The year the turnover data refers to

China Turnover: Interbank Bond: Bond Lending: 4 Month data was reported at 20,909.000 RMB mn in Nov 2018. This records an increase from the previous number of 750.000 RMB mn for Oct 2018. China Turnover: Interbank Bond: Bond Lending: 4 Month data is updated monthly, averaging 1,836.000 RMB mn from Jan 2017 (Median) to Nov 2018, with 23 observations. The data reached an all-time high of 48,039.000 RMB mn in Nov 2017 and a record low of 380.000 RMB mn in May 2017. China Turnover: Interbank Bond: Bond Lending: 4 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.MC: National Interbank Funding Centre (NIBFC): Turnover of Interbank Bond Lending.

This dataset contains the capture histories for juvenile green (Chelonia mydas) and hawksbill (Eretmochelys imbricata) sea turtles tagged with an acoustic telemetry tag between 2012 and 2017. It contains information on how many days had passed since the tag was attached and whether or not the tag was still attached upon recapture. This dataset thus allows estimation of acoustic tag retention rates for these two species of sea turtle in our study site at Buck Island Reef National Monument (BIRNM), St. Croix, U.S. Virgin Islands (USVI).

Turnover of public houses and bars including Value Added Tax (VAT), deflated using the Consumer Prices Index (CPI), UK, 2001 to 2017.

This is the latest provisional experimental publication of NHS vacancy statistics created from administrative data related to published vacancy adverts obtained from NHS Jobs, the main recruitment website for the NHS. The statistics referred to in this document and the accompanying tables are exploratory and provide information on the administrative data available from NHS Jobs as much as on the recruitment of staff. This publication provides figures which are an insight to recruitment in the NHS but which should be treated with caution, though the expanded time series now allows users to consider relative changes over time. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating NHS Workforce Vacancy Statistics as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678

Ireland: Stock market turnover ratio: The latest value from 2018 is 29.13 percent, an increase from 19.71 percent in 2017. In comparison, the world average is 32.42 percent, based on data from 68 countries. Historically, the average for Ireland from 1997 to 2018 is 20.27 percent. The minimum value, 5.24 percent, was reached in 2002 while the maximum of 65.55 percent was recorded in 1999.

China Turnover: Interbank Bond: Bond Lending: 9 Month data was reported at 1,590.000 RMB mn in Oct 2018. This records an increase from the previous number of 550.000 RMB mn for Sep 2018. China Turnover: Interbank Bond: Bond Lending: 9 Month data is updated monthly, averaging 1,650.000 RMB mn from Jan 2017 (Median) to Oct 2018, with 22 observations. The data reached an all-time high of 34,054.000 RMB mn in Mar 2018 and a record low of 0.000 RMB mn in Jul 2017. China Turnover: Interbank Bond: Bond Lending: 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.MC: National Interbank Funding Centre (NIBFC): Turnover of Interbank Bond Lending.

China Turnover: Interbank Bond: Bond Lending: Other Financial Institution data was reported at 306,830.000 RMB mn in Jun 2018. This records an increase from the previous number of 163,582.000 RMB mn for May 2018. China Turnover: Interbank Bond: Bond Lending: Other Financial Institution data is updated monthly, averaging 137,499.500 RMB mn from Jan 2017 (Median) to Jun 2018, with 18 observations. The data reached an all-time high of 372,445.000 RMB mn in Dec 2017 and a record low of 63,596.000 RMB mn in Jan 2017. China Turnover: Interbank Bond: Bond Lending: Other Financial Institution 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.MC: National Interbank Funding Centre (NIBFC): Turnover of Interbank Bond Lending.