Graph and download economic data for Unemployment Level - Construction Industry, Private Wage and Salary Workers (LNU03032231) from Jan 2000 to Feb 2025 about salaries, workers, private industries, 16 years +, construction, wages, household survey, private, unemployment, industry, and USA.

The Occupational Employment Statistics (OES) program conducts a semiannual survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

United States Employment: NF: WT: Industrial Supplies data was reported at 88.500 Person th in May 2018. This records a decrease from the previous number of 88.700 Person th for Apr 2018. United States Employment: NF: WT: Industrial Supplies data is updated monthly, averaging 73.100 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 90.800 Person th in Jul 2015 and a record low of 66.700 Person th in Mar 1993. United States Employment: NF: WT: Industrial Supplies data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

United States Employment: NF: sa: PW: CO: Industrial Building data was reported at 135.700 Person th in May 2018. This records a decrease from the previous number of 140.400 Person th for Apr 2018. United States Employment: NF: sa: PW: CO: Industrial Building data is updated monthly, averaging 137.900 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 170.100 Person th in Jul 2000 and a record low of 105.600 Person th in Apr 2011. United States Employment: NF: sa: PW: CO: Industrial Building data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.

Graph and download economic data for Unemployment Rate - Other Services Industry, Private Wage and Salary Workers (LNU04032242) from Jan 2000 to Feb 2025 about salaries, workers, private industries, 16 years +, wages, household survey, services, private, unemployment, industry, rate, and USA.

United States AHE: PW: Construction: Industrial Building data was reported at 38.210 USD in Nov 2024. This records a decrease from the previous number of 38.670 USD for Oct 2024. United States AHE: PW: Construction: Industrial Building data is updated monthly, averaging 21.920 USD from Jan 1990 (Median) to Nov 2024, with 419 observations. The data reached an all-time high of 38.670 USD in Oct 2024 and a record low of 13.310 USD in Feb 1990. United States AHE: PW: Construction: Industrial Building data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G070: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers.

United States AHE: PW: Mfg: Durable: Industrial Machinery data was reported at 31.140 USD in Nov 2024. This records an increase from the previous number of 30.570 USD for Oct 2024. United States AHE: PW: Mfg: Durable: Industrial Machinery data is updated monthly, averaging 14.610 USD from Jan 1972 (Median) to Nov 2024, with 635 observations. The data reached an all-time high of 31.140 USD in Nov 2024 and a record low of 3.600 USD in Jan 1972. United States AHE: PW: Mfg: Durable: Industrial Machinery data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G070: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers.

United States Employment: NF: sa: OS: Industrial Launderer data was reported at 65.600 Person th in May 2018. This records a decrease from the previous number of 65.900 Person th for Apr 2018. United States Employment: NF: sa: OS: Industrial Launderer data is updated monthly, averaging 53.700 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 65.900 Person th in Apr 2018 and a record low of 43.000 Person th in Apr 1992. United States Employment: NF: sa: OS: Industrial Launderer data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G026: Current Employment Statistics Survey: Employment: Non Farm: sa.

Abstract

Initiated in 2003, the BITS is a modular survey that integrates the data requirements on employment, industrial relations, occupational injuries and diseases and labor cost that used to be collected by the BLES through independent surveys such as Survey on Specific Groups of Workers (SSGW), Employment, Hours and Earnings Survey (EHES), Industrial Relations at the Workplace Survey (IRWS), Occupational Injuries Survey (OIS) and Labor Cost Survey (LCS). Each round of the BITS covers different aspects of employment and establishment practices. The inquiry on occupational injuries and diseases is a regular feature while that on labor cost is undertaken on a less frequent basis.

The main objective of this survey is to generate an integrated data set on employment of specific groups of workers, occupational shortages and surpluses, safety and health practices, occupational injuries and diseases and labor cost of employees. These data are inputs to studies on industry trends and practices and serve as bases for the formulation of policies on employment, conditions of work and industrial relations. To some extent, the survey results will also be used to assess the progress of decent work in the country.

Note: Refer to Field Operations Manual, Chapter 2.1

Geographic coverage

National coverage, 17 administrative regions

Analysis unit

The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

Note: Refer to Field Operations Manual, Chapter 2.5.1

Universe

The BITS covers establishments in 65 non-agricultural industries with an average total employment of at least 20 persons. The following industries are excluded from the survey: Agriculture, Hunting and Forestry; Fishing; National Postal Activties; Central Banking; Public Administration and Defense and Compulsory Social Security (e.g., DOLE, PNP, SSS, GSIS); Public Education Services; Public Medical, Dental and Other Health Services; Activities of Membership Organizations, n.e.c. (e.g., ECOP, TUCP); Extra-Territorial Organizations and Bodies (e.g., ILO, UNDP).

Note: Refer to Field Operations Manual, 2008 Occupational Wages Survey and 2007/2008 BLES Integrated Survey Chapter 2.4

Kind of data

Sample survey data [ssd]

Sampling procedure

Statistical Unit: The establishment is the statistical or enumeration unit. Each unit is classified in an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

Sampling Frame: The 2008 BLES Survey Sampling Frame (SSF2008) is an integrated list of establishments culled from the 2006 List of Establishments of the National Statistics Office; and updated 2006 BLES Sampling Frame based on the status of establishments reported in the 2006 BLES Integrated Survey and 2006 Occupational Wages Survey. Lists of Establishments from the Department of Trade and Industry (DTI) and Philippine Chamber of Commerce and Industries (PCCI) were also considered in preparing the 2008 frame.

Stratification Scheme: Establishments in the sampling frame were stratified by 3-digit industry (domain) and by employment size (stratum), i.e., 20-99, 100-199 and 200 and over. However, industries observed to be heterogeneous within their 3-digit classification were further broken down at the 4, 5 or 6-digit levels. Geographical location was not considered in the stratification to allow for detailed industry groupings.

Sample Size: The number of establishment covered was 6,460.

Note: Refer to Field Operations Manual, Chapter 2.5

Sampling deviation

Not all of the fielded questionnaires are accomplished. Due to the inadequacy of the frame used , there are reports of permanent closures, non-location, duplicate listing and shifts in industry and employment outside the survey coverage. Establishments that fall in these categories are not eligible elements of the frame and their count is not considered in the estimation. Non-respondents are made up of refusals, strikes or temporary closures and those establishments whose questionnaires contain inconsistent item responses and have not replied to the verification queries by the time output table generation commences. Respondents are post-stratified as to geographic, industry and employment size classifications. Non-respondents are retained in their classifications.

Note: Refer to Survey Metadata

Mode of data collection

Other [oth], mixed method: self-accomplished, mailed and face-to-face

Research instrument

The survey questionnaire has been designed to capture the key data requirements on labor statistics from establishments that used to be collected in previous surveys of the BLES.

Cover Page This contains the address box, contact particulars for assistance, spaces for changes in the name and location of sample establishment and for head office information in case the questionnaire is endorsed to it and status codes of the establishment to be accomplished by BLES and its field personnel.

Survey Information This contains the survey objectives and uses of the data, confidentiality clause, collection authority, authorized field personnel, coverage, reference periods, due date for accomplishment and expected date when the results of the 2007/2008 BITS would be available.

Part I: General Information This portion inquires on: · main economic activity · major products/goods or services · establishment characteristics as to ownership · unionism and membership, and existence and coverage of collective bargaining agreement/s · participation in global production network · type of market for business process outsourcing

Part II: Employment This section requires data on total employment and its breakdown into working owners, unpaid workers and employees (managers/executives, supervisors/foremen and rank and file: regular and non-regular workers). It also looks into the employment of specific groups of workers, number of agency-hired workers and the types of jobs contracted out.

Part III: Occupational Shortages and Surpluses This portion inquires on the number of job vacancies, hard-to-fill occupations, difficulties encountered in recruitment, requirements in filling-up of job vacancies, vacant positions that are easy to fill, methods adapted in filling-up of vacancy, total recruitment cost and methods used in rating the applicants in terms of acquired traits.

Part IV: Safety and Health Practices This part inquires on the safety and health practices of persons at work, as well as on the protection of other individuals against risk to their safety and health in connection with or as affected by activities of persons at work. The safety and health practices may be in the form of facilities, occupational health programs/services, preventive and control measures, trainings and seminars.

Part V: Occupational Injuries and Diseases This inquires on the incidence of occupational accidents, cases of occupational injuries and lost workdays by incapacity for work (fatal, permanent, temporary), cases without lost workdays, cases of occupational diseases, incidence of commuting accidents, workers injured and hours actually worked by all employed persons. It also inquires on the classifications (type, part of body injured, cause and agent) of the occupational injury cases.

Part VI: Labor Cost of Employees This section requires data on the reference period if other than the calendar year, labor cost by component and sub-components, hours actually worked by all employees (including instructions on how to estimate) and the percent share of labor cost to total cost.

Part VII: Certification This portion is provided for the respondent's name/signature, position, telephone no., fax no. and e-mail address and time spent in answering the questionnaire.

Appropriate spaces are also provided to elicit comments on: · data provided for the 2007/2008 BITS questionnaire · statistics from previous BITS · presentation/packaging, particularly on the definition of terms, layout, font and color.

Part VIII: Survey Personnel This portion is for the particulars of the enumerators and area/regional supervisors and reviewers at the BLES and DOLE Regional Offices involved in the data collection and review of questionnaire entries.

Results of the previous BITS The results/statistics of the previous BITS are for information of the establishment. More of the results can be obtained from the BLES Website at http://www.bles.dole.gov.ph.

Note: Refer to BLES Integrated Survey Questionnaire

Cleaning operations

Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by their field supervisors.

The BLES personnel undertake the final review, coding of information on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification, personally or through mail.

Microsoft Access is used for data encoding and generation of validation prooflists. After checking accuracy of encoding based on the prooflists, a conversion program using SPSS is executed to generate output tables.

Note: Refer to

United States Private Employee: VCB: Workers in Service Producing Industries data was reported at 17.000 % in 2017. This stayed constant from the previous number of 17.000 % for 2016. United States Private Employee: VCB: Workers in Service Producing Industries data is updated yearly, averaging 18.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 21.000 % in 2007 and a record low of 17.000 % in 2017. United States Private Employee: VCB: Workers in Service Producing Industries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G076: Employee Benefits Survey: Private Industry.

Abstract

Bangladesh Bureau of Statistics (BBS) has initiated the labor force survey on a quarterly basis, to measure the levels and trends of employment, unemployment and labor force in the country on a continuous basis. In the past, labor force surveys conducted at four-five yearly time intervals since 1980.

Detailed information on labor force characteristics has been collected from representative sample of 123 thousand households to produce gender disaggregated national and divisional level estimates with urban/rural/city corporation breakdown. The survey also provides quarterly representative results and sample size for each quarter was 30,816 households. The survey, along with the quantification of core variables, also estimates important attributes of literacy, migration, own use production of goods and own use provision of services, volunteer work, occupational safety and health etc. The estimates are profiled according to latest classifications viz Bangladesh Standard Industrial Classification (BSIC 2009 based on ISIC rev-4) and Bangladesh Standard Classification of Occupations (BSCO- 2012 in line with ISCO-2008).

The primary objective of the survey was to collect comprehensive data on the Labor Force, employment and unemployment of the population aged 15 or older for use by the Government, international organizations, NGOs, researchers and others to efficiently provide targeted interventions. Specific objectives of the survey: - Provide relevant information regarding the characteristics of the population and household that relate to housing, household size, female-headed households; - Provide detailed information on education and training, such as literacy, educational attainment and vocational training; - Provide relevant information on economic activities and the labor force regarding the working-age population, economic activity status and Labor Force participation; - Provide detailed information on employment and informal employment by occupation and industry, education level and status in employment; - Provide relevant information on unemployment, the youth labor force participation, youth employment, and youth unemployment; - Provide other information on decent work regarding earnings from employment, working hours and time-related underemployment, quality and stability of employment, social security coverage, and safety at work, equal opportunities; - Provide relevant information on non-economic activities, volunteer activities etc.

Geographic coverage

National coverage

Analysis unit

• Individual
• Household

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The quarterly Labor Force Survey questionnaire comprised of 14 sections:

Section 1. Household basic information Section 2. Household roster (members' basic information) Section 3. General education (for persons aged 5 years or older) & vocational training (for persons aged 15 years or older) Section 4. Working status (for persons aged 15 years or older) Section 5. Main activities (for persons aged 15 years or older) Section 6. Secondary activities (for employed persons aged 15 years or older) Section 7. Occupational safety and health within the previous 12 months (for persons aged 15 years or older) Section 8. Time-related underemployment (for employed persons aged 15 years or older) Section 9. Unemployment (for not employed persons aged 15 years or older) Section 10. Own use production of goods (for persons aged 15 years or older) Section 11. Own use provision of services (for persons aged 15 years or older) Section 12. Unpaid trainee/apprentice work (for persons aged 15 years or older) Section 13. Volunteer work (for persons aged 15 years or older) Section 14. Migration (for persons aged 15 years or older)

Cleaning operations

Editing and processing errors, several consistency checks were done, both manually and computerized program using CSPro; batch editing was done using Stata, to ensure the quality and acceptability of the data produced. The non-sampling error is to ensure high quality data, several steps were taken to minimize non-sampling errors. Unlike sampling errors, these errors cannot be measured and can only be overcome through several administrative procedures. These errors can arise as a result of incomplete survey coverage, frame defect, response error, non-response and processing errors such as during editing, coding and data capture.

Sampling error estimates

Sampling error is a result of estimating data based on a probability sampling, not on census. Such error in statistics is termed as relative standard error and often denoted as RSE which is given in percentage. This error is an indication to the precision of the parameter under study. In other words, it reflects the extent of variation with other sample-based estimates. Sampling errors of estimates on a few important variables at national levels are calculated separately as shown in the annex. For example, the labor force participation rate at the national level was 67.0 per cent with an RSE of 0.23 per cent and standard error (SE) of 0.16 per cent. At 95 per cent confidence interval (a = 0.05), the labor force participation rate was in the range of 66.69-67.31 per cent.

Abstract

The Bureau of Labor and Employment Statistics conducted the BLES Integrated Survey (BITS) in 2003. The BITS is a nationwide survey of non-agricultural establishments employing 20 or more workers that inquires on the key data elements of four of the Bureau's regular surveys --- Employment, Hours and Earnings Survey (EHES), Industrial Relations at the Workplace Survey (IRWS), Occupational Injuries Survey (OIS) and Labor Cost Survey (LCS).

The BITS aims to generate an integrated data set on employment, wages, hours of work, labor relations, occupational injuries and labor cost of employees. It is also a vehicle to collect some of the data that would measure decent work.

Note: Refer to Field Operations Manual, Chapter 1

Geographic coverage

National coverage, 17 administrative regions

Analysis unit

The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

Note: Refer to Field Operations Manual, Chapter 1.5.1

Universe

Non-agricultural establishments employing 20 persons or more, except Agriculture and Forestry; Fishing; National Postal Activities; Central Banking; Public Administration and Defense and Compulsory Social Security (e.g. DOLE, PNP, SSS, GSIS, HDMF, PhilHealth); Public Education Services; Public Medical, Dental and Other Health Services; Activities of Membership Organizations (e.g. ECOP, TUCP); Extra-Territorial Organizations and Bodies (e.g. ILO, UNDP)

Note: Refer to 2003 BLES Integrated Survey Field Operations Manual, Chapter 1.4

Kind of data

Sample survey data [ssd]

Sampling procedure

Statistical Unit: The establishment is the statistical or enumeration unit. Each unit is classified in an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

Sampling Frame: The 2003 BLES Survey Sampling Frame is a list frame of establishments that is a partial update of the 2002 BLES Sampling Frame based on the status of establishments reported in BLES conducted surveys in the National Capital Region in 2002. Reports on closures and retrenchments of establishments submitted to the Regional Offices of the Department of Labor and Employment in 2002 up to February 2003 were also considered in updating the 2002 frame. The 2002 BLES sampling frame was largely culled from the 2000 List of Establishments of the National Statistics Office that was also partially updated based on the establishment status in BLES conducted surveys in 2001. Similarly, previous sampling frames were partial updates of the 1996 List of Establishments of the NSO based on responses to the BLES surveys conducted since 1997.

Stratification Scheme: Establishments in the sampling frame were stratified by 3-digit industry (domain) and by employment size (stratum), i.e. 20-99, 100-199 and 200 and over. However, industries observed to be heterogeneous within their 3-digit classification were further broken down at the 4-digit level. Geographical location was not considered in the stratification to allow for detailed industry groupings.

Sample Size: For 2002/2003 BLES Integrated Survey, the sample size was 6,818.

Note: Refer to Field Operations Manual, Chapter 1.5.

Sampling deviation

Due to the inadequacy of the frame used, reports of permanent closures, duplicate listing and shifts in industry and employment outside the survey coverage are expected during field operations. Establishments that fall in these categories are not eligible elements of the population and their count is not considered in the estimation. In addition to non-response of establishments because of refusals, strikes or temporary closures, there are establishments whose questionnaires contain inconsistent item responses that are not included in the processing as these have not replied to the verification queries by the time output table generation commences. Such establishments are also considered as non-respondents. Respondents are post-stratified as to geographic, industry and employment size classifications. Non-respondents are retained in their classifications.

Note: Refer to Metadata

Mode of data collection

Other [oth], mixed method: self-accomplished, mailed and face-to-face

Research instrument

The questionnaire is made up of the following parts:

Part I - General Information - This portion inquires on main economic activity and major products/goods or services of the establishment, average employment and number of employees, normal/regular working hours per day, days actually worked during the year and days not worked but considered paid during the year for majority of employees, establishment characteristics such as ownership (Filipino or with foreign equity), spread of operations (multinational or not), market orientation (domestic or export), unionism and membership, and existence and coverage of collective bargaining agreement/s.

Part II - Employment - This section requires data on total employment and its breakdown into working owners, unpaid workers and employees (managers/executives, supervisors/foremen and rank and file: regular and non-regular workers). It also looks into employment of specific groups of employees, types of jobs contracted out and the number of agency-hired workers.

Part III - Industrial Relations Practices - This part inquires on establishment practices in filling up vacancies; fixing or revising wages and salaries of employees, those given wage and non-wage benefits and those provided training, purpose of training and sources of training funds. It also inquires on coping measures to economic and financial difficulties, and innovation/s introduced and impediment/s encountered in the adoption or implementation of any innovation.

Part IV - Occupational Injuries - This inquires on the incidence of occupational accidents, cases of occupational injuries and lost workdays and hours actually worked by all employed persons.

Part V - Labor Costs - This section requires data on the reference period if other than the calendar year, labor cost by cost component and sub-components, hours actually worked by all employees and the percent share of labor cost to total cost.

Part VI - Certification - this space is provided for the respondent’s name and signature, position, date accomplished and telephone/fax numbers and e-mail address of the person responsible for filling out the form and the time spent in answering the questionnaire. It also solicits comments on the BITS data provided and on the results of previous BLES surveys, and suggestions for improvement on the presentation/packaging of the questionnaire.

Part VII - Survey Personnel - This portion is for the particulars of the enumerators and area supervisors at the BLES and DOLE Regional Offices involved in the data collection and review of questionnaire entries.

Results of Recently Conducted BLES Surveys - These are for information of the respondent.

Note: Refer to Questionnaire

Cleaning operations

Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by their field supervisors. The BLES personnel undertake the final review, coding of information based on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification personally or through mail.

Note: Refer to Metadata

Response rate

For 2002/2003 BITS, the response rate in terms of eligible sampling units is 81.0%.

Note: Refer to Metadata

Sampling error estimates

Estimates of sampling error on employment are computed.

Data appraisal

Data estimates would be checked with those from other related surveys or administrative data.

Note: Refer to Metadata

United States Avg Hourly Earnings: WT: Industrial Supplies data was reported at 29.470 USD in May 2018. This records a decrease from the previous number of 29.750 USD for Apr 2018. United States Avg Hourly Earnings: WT: Industrial Supplies data is updated monthly, averaging 24.120 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 29.750 USD in Apr 2018 and a record low of 21.140 USD in Apr 2008. United States Avg Hourly Earnings: WT: Industrial Supplies data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

The Quarterly Census of Employment and Wages (QCEW) program is a cooperative program involving the Bureau of Labor Statistics (BLS) of the United States Department of Labor and the State Employment Security Agencies (SESAs). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by State unemployment insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Publicly available data files include information on the number of establishments, monthly employment, and quarterly wages, by NAICS industry, by county, by ownership sector, for the entire United States. These data are aggregated to annual levels, to higher industry levels (NAICS industry groups, sectors, and supersectors), and to higher geographic levels (national, State, and Metropolitan Statistical Area (MSA)). To download and analyze QCEW data, users can begin on the QCEW Databases page. Downloadable data are available in formats such as text and CSV. Data for the QCEW program that are classified using the North American Industry Classification System (NAICS) are available from 1990 forward, and on a more limited basis from 1975 to 1989. These data provide employment and wage information for arts-related NAICS industries, such as: Arts, entertainment, and recreation (NAICS Code 71) Performing arts and spectator sports Museums, historical sites, zoos, and parks Amusements, gambling, and recreation Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic design services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, book and music stores Book, periodical, and music stores Art dealers For years 1975-2000, data for the QCEW program provide employment and wage information for arts-related industries are based on the Standard Industrial Classification (SIC) system. These arts-related SIC industries include the following: Book stores (SIC 5942) Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums, Botanical, Zoological Gardens (SIC Code 84) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Services (SIC Code 78) The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit NAICS industry at the national, state, and county levels. At the national level, the QCEW program provides employment and wage data for almost every NAICS industry. At the State and area level, the QCEW program provides employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. Employment data under the QCEW program represent the number of covered workers who worked during, or received pay for, the pay period including the 12th of the month. Excluded are members of the armed forces, the self-employed, proprietors, domestic workers, unpaid family workers, and railroad workers covered by the railroad unemployment insurance system. Wages represent total compensation paid during the calendar quarter, regardless of when services were performed. Included in wages are pay for vacation and other paid leave, bonuses, stock options, tips, the cash value of meals and lodging, and in some States, contributions to deferred compensation plans (such as 401(k) plans). The QCEW program does provide partial information on agricultural industries and employees in private households. Data from the QCEW program serve as an important source for many BLS programs. The QCEW data are used as the benchmark source for employment by the Current Employment Statistics program and the Occupational Employment Statistics program. The UI administrative records collected under the QCEW program serve as a sampling frame for BLS establishment surveys. In addition, data from the QCEW program serve as a source to other Federal and State programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses QCEW data as the base for developing the wage and salary component of personal income. The Employment and Training Administration (ETA) of the Department of Labor and the SESAs use QCEW data to administer the employment security program. The QCEW data accurately reflect the ex

United States Private Employee: DBP: Workers in Gds Producing Industries data was reported at 19.000 % in 2018. This records a decrease from the previous number of 21.000 % for 2017. United States Private Employee: DBP: Workers in Gds Producing Industries data is updated yearly, averaging 28.000 % from Mar 1999 (Median) to 2018, with 17 observations. The data reached an all-time high of 36.000 % in 1999 and a record low of 19.000 % in 2018. United States Private Employee: DBP: Workers in Gds Producing Industries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G077: Employee Benefits Survey: Private Industry.

United States AHE: PW: Mfg: Durable: Commercial & Service Industry Machinery data was reported at 34.800 USD in Jan 2025. This records an increase from the previous number of 34.290 USD for Dec 2024. United States AHE: PW: Mfg: Durable: Commercial & Service Industry Machinery data is updated monthly, averaging 20.510 USD from Jan 1990 (Median) to Jan 2025, with 421 observations. The data reached an all-time high of 34.800 USD in Jan 2025 and a record low of 12.550 USD in Jan 1990. United States AHE: PW: Mfg: Durable: Commercial & Service Industry Machinery data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G070: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers.

The dataset contains year- and state-wise compiled data on the value of industries by their important characteristics such as number of factories, employment, wages, invested capital, capital formation, input, output, depreciation and value added, etc.

Note:

The Annual Survey of Industries (ASI) provides data on various vital aspects of the registered factories for use in the estimation of national income, studies of industrial structure and policy formulation.

The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, data on wage rates, union status, job permanency and establishment size are also produced.

This table contains 1501 series, with data for years 1987 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (79 items: South Coast-Burin Peninsula; Newfoundland and Labrador; Newfoundland and Labrador; Avalon Peninsula; Newfoundland and Labrador; Canada ...), North American Industry Classification System (NAICS) (19 items: Total employed; all industries; Goods-producing sector; Agriculture;Forestry; fishing; mining; quarrying; oil and gas ...).

United States Employment: NF: WT: Industrial Paper data was reported at 56.700 Person th in May 2018. This records a decrease from the previous number of 57.000 Person th for Apr 2018. United States Employment: NF: WT: Industrial Paper data is updated monthly, averaging 66.200 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 78.000 Person th in May 2000 and a record low of 55.700 Person th in Dec 2012. United States Employment: NF: WT: Industrial Paper data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.