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.

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.

Brazil Formal Employment: Turnover Rate: Metropolitan: São Paulo data was reported at 4.390 % in Apr 2019. This records an increase from the previous number of 4.150 % for Mar 2019. Brazil Formal Employment: Turnover Rate: Metropolitan: São Paulo data is updated monthly, averaging 3.630 % from Feb 2003 (Median) to Apr 2019, with 195 observations. The data reached an all-time high of 4.410 % in Mar 2016 and a record low of 2.010 % in Dec 2003. Brazil Formal Employment: Turnover Rate: Metropolitan: São Paulo data remains active status in CEIC and is reported by Ministry of Labor and Social Security. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBB093: Formal Employment: Turnover Rate: by Region and State.

Formal Employment: Turnover Rate: Service: Southeast data was reported at 4.400 % in Apr 2019. This records an increase from the previous number of 4.380 % for Mar 2019. Formal Employment: Turnover Rate: Service: Southeast data is updated monthly, averaging 3.610 % from Feb 2003 (Median) to Apr 2019, with 195 observations. The data reached an all-time high of 4.720 % in Mar 2016 and a record low of 2.200 % in Dec 2015. Formal Employment: Turnover Rate: Service: Southeast data remains active status in CEIC and is reported by Ministry of Labor and Social Security. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBB100: Formal Employment: Turnover Rate: by Region and State: Service.

This statistic presents the annual turnover of the transportation and logistics industry in Italy in 2016, by company. According to data, BRT was the firm with the highest turnover (*** billion euros) followed by Savino del Bene (*** billion euros) and DHL Express with *** million euros.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess and evaluate, objectively and realistically, the changes in the growth, composition and structure of organized manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The survey has so far been conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 1953 and the rules framed there-under in 1959 except in the State of Jammu & Kashmir where it is conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964. From ASI 2010-11 onwards, the survey is to be conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 2008 and the rules framed there-under in 2011 except in the State of Jammu & Kashmir where it is to be conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964.

ASI schedule is the basic tool to collect required data for the factories registered under Sections 2(m)(i) and 2(m)(ii) of the Factories Act, 1948. The schedule for ASI, at present, has two parts. Part-I of ASI schedule, processed at the CSO (IS Wing), Kolkata, aims to collect data on assets and liabilities, employment and labour cost, receipts, expenses, input items: indigenous and imported, products and by-Products, distributive expenses, etc. Part-II of ASI schedule is processed by the Labour Bureau. It aims to collect data on different aspects of labour statistics, namely, working days, man-days worked, absenteeism, labour turnover, man-hours worked etc.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. From ASI 2016-17, a new sampling design is adopted following the recommendations of the Sub-Group of the SCIS under the Chairmanship of Dr. G.C. Manna and approved by the SCIS and the National Statistical Commission (NSC) subsequently. According to the new sampling design, all the units in the updated frame are divided into two parts - Central Sample and State Sample. The Central Sample consists of two schemes: Census and Sample. Under Census scheme, all the units are surveyed. (1) Census Scheme: (i) All industrial units belonging to the seven less industrially developed States/ UTs viz. Arunachal Pradesh, Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. (ii) For the States/ UTs other than those mentioned in (i), (a) units having 75 or more employees from six States, namely, Jammu & Kashmir, Himachal Pradesh, Rajasthan, Bihar, Chhattisgarh and Kerala; (b) units having 50 or more employees from three States/UTs, namely, Chandigarh, Delhi and Puducherry; (c) units having 100 or more employees for rest of the States/UTs, not mentioned in (a) and (b) above and; (d) all factories covered under 'Joint Return' (JR), where JR should be allowed when the two or more units located in the same State/UT, same sector and belongto the same industry (3-digit level of NIC-2008) under the same management. (iii) After excluding the Census Scheme units in the above manner, all units belonging to the strata (State x District x Sector x 3 digit NIC-2008) having less than or equal to 4 units are also considered under Census Scheme. It may be noted that strata are separately formed under three sectors considered as Bidi, Manufacturing and Electricity.

(2) All the remaining units in the frame are considered under Sample Scheme. For all the states, each stratum is formed on the basis of State x District x Sector x 3-digit NIC-2008. The units are arranged in descending order of their total number of employees. Samples are drawn using Circular Systematic Sampling technique for this scheme. An even number of units with a minimum of 4 units are selected and distributed in four sub-samples. It may be noted that in certain cases each of 4 sub-samples from a particular stratum may not have equal number of units. (3) Out of these 4 sub-samples, two pre-assigned sub-samples (1 & 3) are given to NSSO (FOD) and the other two-subsamples (2 & 4) are given to concerned State/UT for data collection. (4) All census units plus all the units belonging to the two sub-samples given to NSSO (FOD) are treated as the Central Sample. (5) All census units plus all the units belonging to the two sub-samples given to State/UT are treated as the State Sample. Hence, State/UT has to use Census Units (collected by NSSO (FOD) and processed by CSO (IS Wing)) along with their sub-samples while deriving the state level estimates for their respective State/UT based on State Sample. (6) All census units plus all the units belonging to the two sub-samples given to NSSO (FOD) plus all the units belonging to the two sub-samples given to State/UT are required for obtaining pooled estimates based on Central Sample and State Sample with increased sample size.

Mode of data collection

Face-to-face [f2f]

Research instrument

Annual Survey of Industries Questionnaire is divided into different blocks:

BLOCK A.IDENTIFICATION BLOCK - This block has been designed to collect the descriptive identification of the sample enterprise. The items are mostly self-explanatory.

BLOCK B. TO BE FILLED BY OWNER OF THE FACTORY - This block has been designed to collect the particulars of the sample enterprise. This point onwards, all the facts and figures in this return are to be filled in by owner of the factory.

BLOCK C: FIXED ASSETS - Fixed assets are of a permanent nature having a productive life of more than one year, which is meant for earning revenue directly or indirectly and not for the purpose of sale in ordinary course of business. They include assets used for production, transportation, living or recreational facilities, hospital, school, etc. Intangible fixed assets like goodwill, preliminary expenses including drawing and design etc are excluded for the purpose of ASI. The fixed assets have, at the start of their functions, a definite value, which decreases with wear and tear. The original cost less depreciation indicates that part of value of fixed assets, which has not yet been transferred to the output. This value is called the residual value. The value of a fixed asset, which has completed its theoretical working life should always be recorded as Re.1/-. The revalued value is considered now. But depreciation will be taken on original cost and not on revalued cost.

BLOCK D: WORKING CAPITAL & LOANS - Working capital represents the excess of total current assets over total current liabilities.

BLOCK E : EMPLOYMENT AND LABOUR COST - Particulars in this block should relate to all persons who work in and for the establishment including working proprietors and active business partners and unpaid family workers. However, Directors of incorporated enterprises who are paid solely for their attendance at meeting of the Board of Directors are to be excluded.

BLOCK F : OTHER EXPENSES - This block includes the cost of other inputs as both the industrial and nonindustrial service rendered by others, which are paid by the factory and most of which are reflected in the ex-factory value of its production during the accounting year.

BLOCK G : OTHER INCOMES - In this block, information on other output/receipts is to be reported.

BLOCK H: INPUT ITEMS (indigenous items consumed) - This block covers all those goods (raw materials, components, chemicals, packing material, etc.), which entered into the production process of the factory during the accounting year. Any material used in the production of fixed assets (including construction work) for the factory's own use should also be included. All intermediate products consumed during the year are to be excluded. Intermediate products are those, which are produced by the factory but are, subjected to further manufacture. For example, in a cotton textile mill, yarn is produced from raw cotton and the same yarn is again used for manufacture of cloth. An intermediate product may also be a final product in the same factory. For example, if the yarn produced by the factory is sold as yarn, it becomes a final product and not an intermediate product. If however, a part of the yarn produced by a factory is consumed by it for manufacture of cloth, that part of the yarn so used will be an intermediate product.

BLOCK I: INPUT ITEMS - directly imported items only (consumed) - Information in this block is to be reported for all imported items consumed. The items are to be imported by the factory directly or otherwise. The instructions for filling up of this block are same as those for Block H. All imported goods irrespective of whether

Serbia Industrial Turnover Index: 2016=100: Domestic Market data was reported at 117.400 2016=100 in Dec 2017. This records an increase from the previous number of 116.100 2016=100 for Nov 2017. Serbia Industrial Turnover Index: 2016=100: Domestic Market data is updated monthly, averaging 108.700 2016=100 from Jan 2017 (Median) to Dec 2017, with 12 observations. The data reached an all-time high of 117.400 2016=100 in Dec 2017 and a record low of 70.400 2016=100 in Jan 2017. Serbia Industrial Turnover Index: 2016=100: Domestic Market data remains active status in CEIC and is reported by Statistical Office of the Republic of Serbia. The data is categorized under Global Database’s Serbia – Table RS.C002: Industrial Turnover Index: 2016=100. Rebased from 2016=100 to 2017=100 Replacement series ID: 401333847

Industrial Turnover Index: 2016=100: Foreign Market data was reported at 100.400 2016=100 in Dec 2017. This records a decrease from the previous number of 108.700 2016=100 for Nov 2017. Industrial Turnover Index: 2016=100: Foreign Market data is updated monthly, averaging 108.700 2016=100 from Jan 2017 (Median) to Dec 2017, with 12 observations. The data reached an all-time high of 123.800 2016=100 in Mar 2017 and a record low of 83.200 2016=100 in Jan 2017. Industrial Turnover Index: 2016=100: Foreign Market data remains active status in CEIC and is reported by Statistical Office of the Republic of Serbia. The data is categorized under Global Database’s Serbia – Table RS.C002: Industrial Turnover Index: 2016=100. Rebased from 2016=100 to 2017=100 Replacement series ID: 401333857

This table contains figures on the net turnover in the labor market for the narrow care and welfare sectors; this is an aggregate of all sectors in the care and welfare sector, excluding childcare. The figures are broken down by AZW branches, country, part of the country, province and RegioPlus labor market regions. The percentages shown are a three-year average, using the last Friday before Christmas as the reference date for each year. The calculations relate to employees' main jobs. The municipality of residence of the employee is used to determine the region. Figures on net turnover in the labor market for the care and welfare sectors are broadly not included in this table (for a reference to these figures, see section 3). If the sectors in care and welfare are narrow, this means that childcare is not presented because childcare is not considered to be part of the broad care and welfare labor market. As a result, the figures on net turnover in the care and welfare labor market broadly relate to a different population than the figures on care and welfare narrowly. Figures on different populations are not published in the same table. The figures on the labor market in care and welfare are presented in their own table. This table was developed in the context of the Labor Market, Care and Welfare (AZW) research programme. For more trends and developments in the field of the healthcare and welfare labor market, see azwstatline.cbs.nl (see section 3). Data available from: 2010/2012 three-year averages to 2016/2018 three-year averages. Status of the figures: The figures in this table are provisional. The data on 2010/2012 three-year averages up to and including 2016/2018 three-year averages are provisional. Since this table has been discontinued, the data is no longer finalized. Changes as of 28 May 2020: None, this table has been discontinued and has been replaced by the table 'Net turnover on the labor market; AZW (narrow), region' (see section 3). When will new numbers come out? Not applicable anymore.

This statistic reflects the annual turnover of the children's products industry between 2000 and 2016, in million euros. According to this source, the annual turnover of the children's products industry in Spain in 2016 amounted to approximately *** billion euros.

Papua New Guinea: Stock market turnover ratio: The latest value from 2017 is 0.05 percent, a decline from 3.89 percent in 2016. In comparison, the world average is 32.84 percent, based on data from 58 countries. Historically, the average for Papua New Guinea from 2003 to 2017 is 0.75 percent. The minimum value, 0.05 percent, was reached in 2017 while the maximum of 3.89 percent was recorded in 2016.

This statistic shows the annual turnover of the car parking industry in Spain between 2014 and 2016. In 2016, the total turnover of the Spanish car parking industry amounted to approximately *** million euros.

This table contains figures on the net turnover in the labor market for the narrow care and welfare sectors; this is an aggregate of all sectors in the care and welfare sector, excluding childcare. The percentages shown are a three-year average, using the last Friday before Christmas as the reference date for each year. The calculations relate to employees' main jobs. Figures on net turnover in the labor market for the care and welfare sectors are broadly not included in this table (for a reference to these figures, see section 3). If the sectors in care and welfare are narrow, this means that childcare is not presented because childcare is not considered to be part of the broad care and welfare labor market. As a result, the figures on net turnover in the care and welfare labor market broadly relate to a different population than the figures on care and welfare narrowly. Figures on different populations are not published in the same table. The figures on the labor market in care and welfare are presented in their own table. This table was developed in the context of the Labor Market, Care and Welfare (AZW) research programme. For more trends and developments in the field of the healthcare and welfare labor market, see azwstatline.cbs.nl (see section 3). Data available from: 2010/2012 three-year averages to 2016/2018 three-year averages. Status of the figures: The figures in this table are provisional. The data on 2010/2012 three-year averages up to and including 2016/2018 three-year averages are provisional. Since this table has been discontinued, the data is no longer finalized. Changes as of 28 May 2020: None, this table has been discontinued and has been replaced by the table 'Net turnover on the labor market; AZW (narrow), region' (see section 3). When will new numbers come out? Not applicable anymore.

The Ivory Coast: Stock market turnover ratio: The latest value from 2019 is 1.86 percent, a decline from 5.27 percent in 2016. In comparison, the world average is 24.46 percent, based on data from 72 countries. Historically, the average for the Ivory Coast from 1993 to 2019 is 7.44 percent. The minimum value, 0.87 percent, was reached in 2001 while the maximum of 58.88 percent was recorded in 1994.

This statistic depicts a ranking of the leading companies in the tomato industry in Italy in 2016, by turnover. According to data, the international group Conserve Italia ranked first with an annual turnover of almost *** million euros.

This statistic shows the annual turnover of telecommunication companies in Denmark from 2005 to 2016. The turnover of the telecommunications sector peaked in 2007 when it amounted to 62.7 billion Danish kroner. In 2016, the turnover amounted to 43.4 billion Danish kroner.

In 2023, the revenue generated by the cosmetics industry in the domestic market in Italy added up to over ***** billion euros. Compared to the previous year, the revenue experienced an increase of approximately **** percent.

Oxford, United Kingdom based YASA Limited generated the greatest share of its income through the sale of goods. In 2019, the manufacturer of lightweight electric motors for the automotive industry made about *** million British pounds in turnover through sales. This compared to ***** million British pounds generated through the rendering of services.

This statistic shows data on the annual turnover per employee in the fruit and vegetable juice manufacturing industry in the European Union (EU) in 2016, by country. In the Spanish fruit and vegetable juice manufacturing industry, the turnover per employee was at roughly *** thousand euros in the period under consideration.

The annual revenue of the major domestic appliance market in France has remained relatively stable since 2016 and plateaued over the five billion euro mark over that period. Despite the coronavirus outbreak, which keeps negatively impacting many industries, the major domestic appliance market has experienced a slight rebound in 2020, reaching a total of 5.33 billion euros that year.