In 2018, the average national involuntary staff turnover rate in New Zealand was *** percent. This represents an increase from the previous year.
In 2018, the average national staff turnover rate in the first twelve months of employment in New Zealand was **** percent. This represents an increase from the previous year, and a continued year on year upward trend.
In 2018, the average national staff turnover rate in New Zealand was **** percent. This represents an increase from the previous year, and a continued upward trend since 2012.
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Data in the Annual Account relating to staff employed by the Public Administration (divided by type part-time and full-time), staff hired and staff whose employment contract is terminated. - Data observed as at 19/04/2022. - [PCA_OCT_DIP_TENT_001]
This statistic shows the labour turnover rate in hospitality and tourism industries in the United Kingdom (UK) in 2011, by nation. England had the highest turnover rate at 20 percent, though Wales was not far behind with 19.6 percent. Across the United Kingdom in 2012, the labour turnover rate was highest in the pubs, bars and nightclubs industry, among hospitality and tourism industries.
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Data in the Annual Account relating to staff employed by the Public Administration (divided by type part-time and full-time), staff hired and staff whose employment contract is terminated. - Data observed as at 19/04/2022. - [PCA_OCT_DIP_ENTE_001]
In 2018, the average national voluntary staff turnover rate in New Zealand was **** percent. This represents a slight increase from the previous year.
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This table presents information about developments in turnover in retail trade. Turnover can be broken down into value, price and volume. The data can further be divided by a number of branches of trade 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 2005. Changes on the same period in the previous year are also published. Value and/or price and volume data are lacking (temporarily) for some branches as the information is considered to be insufficiently reliable.
Data available from: 2000
Status of the figures Figures on the four previous months are provisional, the remainder are definite.
Changes as of 20 March 2013: Table has been discontinued as from 20 March 2013 and will be continued as "Retail trade; turnover change, index 2010 = 100". For more information see sections 3 and 4.
Changes as of 4 August 2010:
Research shows that the estimated errors of the turnover figures are too
large for some groups within the retail trade. As of January 2009 figures
will no longer be published concerning the following groups:
4721 Shops for vegetables and fruit
4722 Shops for meat and meat products
4764 Shops for sports and camping goods
47641 Shops selling bicycles and mopeds
47762 Garden Centers
4777 Shops selling jewellery and watches
47782 Shops selling optical articles
When will figures be published? Table has been discontinued as from 20 March 2013 due to change of the base year from 2005 to 2010. Statistics Netherlands has started a new table. For more information see sections 3 and 4.
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This table provides information on the evolution of revenue growth and decrease. The trend is reflected as the percentage of companies that have increased, decreased or remained the same in turnover over the same period one year earlier. The data are divided into branches according to the Standard Business Classification (SBI) 2008 and into size classes of the number of persons employed.
Data available from: 1st quarter 2004 to 4th quarter 2012.
Status of the figures: All data in this table are final.
Changes as of 7 October 2013: The figures for the 3 rd and 4th quarters of 2012 have been updated.
When are new figures coming? This table will be discontinued on 7 October 2013 and will continue as follows: Company data; turnover development (rise-downers), SBI 2008. See paragraph 3.
After publication of final results, CBS will only adjust the results if major adjustments and/or corrections are necessary.
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Wholesale Trade Turnover per Employee: CF: Ivanovo Region data was reported at 9,461.100 RUB th in 2012. This records an increase from the previous number of 8,282.500 RUB th for 2011. Wholesale Trade Turnover per Employee: CF: Ivanovo Region data is updated yearly, averaging 2,110.600 RUB th from Dec 2000 (Median) to 2012, with 13 observations. The data reached an all-time high of 9,461.100 RUB th in 2012 and a record low of 516.300 RUB th in 2000. Wholesale Trade Turnover per Employee: CF: Ivanovo Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJC005: Wholesale Trade Turnover per Employee (Discontinued).
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This table presents information about monthly developments in turnover at enterprises with 10 or more persons employed in the sector energy and water supply. The data can be divided into a number of branches of trade according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008). The data can further be broken down into domestic and foreign turnover.
The results are expressed in terms of indices with base year 2005. Changes on the same period in the previous year are also published.
Data available: 2000 till 2013.
Table has been discontinued as from 22 March 2013 due to change of the base year from 2005 to 2010. Statistics Netherlands has started a new table, Industry; production, sales and orders, changes and index (2010 = 100). For more information see sections 3 and 4.
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Russia Wholesale Trade Turnover per Employee data was reported at 14,465.200 RUB th in 2012. This records an increase from the previous number of 13,307.000 RUB th for 2011. Russia Wholesale Trade Turnover per Employee data is updated yearly, averaging 6,114.100 RUB th from Dec 2000 (Median) to 2012, with 13 observations. The data reached an all-time high of 14,465.200 RUB th in 2012 and a record low of 1,769.100 RUB th in 2000. Russia Wholesale Trade Turnover per Employee data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJC005: Wholesale Trade Turnover per Employee.
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This table provides information on the development of turnover in the information and communication sector (SBI section J). This development is shown using indices (based on the year 2005) and as a percentage change compared to the same period of the previous year. Data available from: 1st quarter 2003 to 4th quarter 2012 Status of the figures: The figures for the second, third, fourth quarter and the year 2012 are provisional. The figures for all previous reporting periods are final. Since the table has been discontinued, the provisional figures are no longer finalized. Changes as of June 28, 2013: None, this table has been discontinued and continued as 'Information and communication; turnover development index 2010 = 100'. See also section 3. When will new figures be published? This table has been discontinued on 28 June 2013. The statistical research that forms the basis of the results in this table has undergone an important change with effect from the date of publication of the first reporting period of 2013: In 2013, the reference year 2005 was changed to 2010 ( 2010 = 100) and the weighting factors have been updated and are based on the year 2010. When calculating indices, the weighting factors indicate the share by which the underlying results count in a publication group. Statistics Netherlands has published a new table because of these changes. For more information, see sections 3 and 4.
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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).
Multiannual enterprise statistics - Breakdown of turnover by product type for retail trade (NACE Rev. 2, G47) (2012)
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This table provides information on quarterly turnover developments in the sector transport and storage. The results are expressed in terms of indices with base year 2005. Changes on the same period in the previous year are also published. Data can be broken down by a number of branches of trade according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008). Data available from: 2005 - 2012 Status of the figures Figures on the first, second, third and fourth quarter and the annual figures of 2012 are provisional. Because the table has been discontinued, the figures will no longer be adjusted. Figures of the remainder periods are definite. Changes as from June 7 2013 Non, this table has been discontinued. When will the figures be published? The figures in this table wil no longer be adjusted. This tabel will be continued as "Transport and storage; turnover change, index 2010 = 100". For more information see sections 3 and 4. After publication of the definite figures, Statistics Netherlands will only update the results, if substantial adjustments or corrections are necessary.
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This table presents information about monthly developments in turnover at enterprises with 10 or more persons employed in the sector mining and quarrying. The data can be divided into a number of branches of trade according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008). The data can further be broken down into domestic and foreign turnover. The results are expressed in terms of indices with base year 2005. Changes on the same period in the previous year are also published. Data available: 2000 till 2013 Table has been discontinued as from 22 March 2013 due to change of the base year from 2005 to 2010. Statistics Netherlands has started a new table, Industry; production, sales and orders, changes and index (2010 = 100). For more information see sections 3 and 4.
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Wholesale Trade Turnover per Employee: CF: City of Moscow data was reported at 28,655.800 RUB th in 2012. This records an increase from the previous number of 26,542.700 RUB th for 2011. Wholesale Trade Turnover per Employee: CF: City of Moscow data is updated yearly, averaging 8,002.500 RUB th from Dec 2000 (Median) to 2012, with 13 observations. The data reached an all-time high of 28,655.800 RUB th in 2012 and a record low of 3,266.700 RUB th in 2002. Wholesale Trade Turnover per Employee: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJC005: Wholesale Trade Turnover per Employee (Discontinued).
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Provisional monthly figures for headcount, full time equivalent, role count and turnover of NHS Hospital and Community Health Service (HCHS) staff groups working in England (excluding primary care staff). This is the seventh in a series of quarterly supplemental publications. The aim is to provide additional granularity at organisational level, explore the data to indicate data quality issues and to also highlight areas of interest. The additional information available this month includes: Time series of workforce numbers (headcount and FTE) by organisation Medical grades by organisation Non-medical staff groups by organisation Turnover by organisation Time series of quarterly turnover at national and regional level Redundancy figures at a National level by staff group. This will include voluntary redundancies for the first time alongside compulsory redundancies The aim is to provide additional granularity at organisational level, explore the data to indicate data quality issues and to also highlight areas of interest. As expected with provisional, statistics, some figures may be revised from month to month as issues are uncovered and resolved. No refreshes of the provisional data will take place either as part of the regular publication process, or where minor enhancements to the methodology have an insignificant impact on the figures at a national level. However, the provisional status allows for this to occur if it is determined that a refresh of data is required subsequent to initial release. Where a refresh of data occurs, it will be clearly documented in the publications. The HSCIC welcomes feedback on the methodology and tables within this publication. Please contact the HSCIC with your comments and suggestions, clearly stating 'Monthly HCHS Workforce' as the subject heading, via enquiries@ic.nhs.uk or 0845 300 6016. The HSCIC intends publishing these figures here monthly.
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This table presents information about developments in domestic turnover of the construction industry. The data can be broken down by branch and size class.The results are expressed in terms of indices with base year 2005. Changes on the same period in the previous year are also published.
Data available from: January 2005 up to and included December 2012.
Status of the figures: Figures on the five previous months are provisional, the remainder are definite.
Changes as of 29 March 2013: Table has been discontinued as from 20 March 2013, due to change of the base year from 2005 to 2010 and will be continued as "Construction industry; turnover change, index 2010 = 100". For more information see sections 3 and 4.
When will figures be published? The figures in this table will no longer be adjusted. The four most recent months remain provisional, the remainder definite.
In 2018, the average national involuntary staff turnover rate in New Zealand was *** percent. This represents an increase from the previous year.