United States AHE: PW: Construction: Highway, Street & Bridge Construction data was reported at 36.410 USD in Mar 2025. This records an increase from the previous number of 36.190 USD for Feb 2025. United States AHE: PW: Construction: Highway, Street & Bridge Construction data is updated monthly, averaging 21.440 USD from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 38.740 USD in Sep 2024 and a record low of 12.810 USD in Feb 1990. United States AHE: PW: Construction: Highway, Street & Bridge Construction 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.G: Current Employment Statistics: Average Hourly Earnings: Production Workers.

rakshit12345/construction-workers-segmentation dataset hosted on Hugging Face and contributed by the HF Datasets community

Key Table Information.Table Title.Construction: Summary Statistics for the U.S., States, and Selected Geographies: 2022.Table ID.ECNBASIC2022.EC2223BASIC.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2024-12-05.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesConstruction workers annual wages($1,000)Construction workers for pay period including March 12Construction workers for pay period including June 12Construction workers for pay period including September 12Construction workers for pay period including December 12Construction, production and/or development and exploration workers annual hours (1,000)Other employees annual wages ($1,000)Other employees for pay period including March 12Other employees for pay period including June 12Other employees for pay period including September 12Other employees for pay period including December 12Total fringe benefits ($1,000)Employers cost for legally required fringe benefits ($1,000)Employers cost for voluntarily provided fringe benefits ($1,000)Total selected costs ($1,000) Cost of materials, components, packaging and/or supplies used, minerals received, or purchased machinery installed ($1,000)Cost of construction work subcontracted out to others ($1,000)Cost of purchased land ($1,000)Total cost of selected power, fuels, and lubricants ($1,000)Cost of gasoline and diesel fuel ($1,000)Cost of natural gas and manufactured gas ($1,000)Cost of on-highway use of gasoline and diesel fuel ($1,000)Cost of off-highway use of gasoline and diesel fuel ($1,000)Cost of all other fuels and lubricants ($1,000)Cost of purchased electricity ($1,000)Value of construction work ($1,000)Value of construction work on government owned projects ($1,000)Value of construction work on federally owned projects ($1,000)Value of construction work on state and locally owned projects ($1,000)Value of construction work on privately owned projects ($1,000)Value of other business done ($1,000)Value of construction work subcontracted in from others ($1,000)Net value of construction work ($1,000)Value added ($1,000)Materials and/or supplies, parts, fuels, etc. inventories, beginning of year ($1,000)Materials and/or supplies, parts, fuels, etc. inventories, end of year ($1,000)Gross value of depreciable assets (acquisition costs), beginning of year ($1,000)Total capital expenditures for buildings, structures, machinery, and equipment (new and used) ($1,000)Total retirements ($1,000)Gross value of depreciable assets (acquisition costs), end of year ($1,000)Total depreciation during year ($1,000)Total rental payments or lease payments ($1,000)Rental payments or lease payments for buildings and other structures ($1,000)Rental payments or lease payments for machinery and equipment ($1,000)Total other operating expenses ($1,000)Temporary staff and leased employee expenses ($1,000)Expensed computer hardware and other equipment ($1,000)Expensed purchases of software ($1,000)Data processing and other purchased computer services ($1,000)Communication services ($1,000)Repair and maintenance services of buildings and/or machinery ($1,000) Refuse removal (including hazardous waste) services ($1,000)Advertising and promotional services ($1,000)Purchased professional and technical services ($1,000) Taxes and license fees ($1,000)All other operating expenses ($1,000)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical locati...

Key Table Information.Table Title.Island Areas: Employment and Payroll Statistics by Construction Industry for Puerto Rico and Municipios: 2022.Table ID.ISLANDAREASIND2022.IA2200IND04.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Source.U.S. Census Bureau, 2022 Economic Census of Island Areas, Core Statistics.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe. The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 NAICS..Sponsor.U.S. Department of Commerce.Methodology.Data Items and Other Identifying Records.Number of establishmentsNumber of employeesAnnual payroll ($1,000)Construction workers average for yearTotal payroll for construction workers ($1,000)Other employees (paid employees for pay period including March 12) (number)Total payroll for other employees ($1,000)First-quarter payroll ($1,000)Employers cost for legally required fringe benefits ($1,000)Employers cost for voluntarily provided fringe benefits ($1,000)Range indicating imputed percentage of total employeesRange indicating imputed percentage of total annual payrollDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:At the Territory and Municipio level for Puerto RicoFor information about economic census geographies, including changes for 2022, see Economic Census: Economic Geographies..Industry Coverage.The data are shown for Puerto Rico at the 2- through 4-digit 2022 NAICS code levels for the construction industry.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of ...

Graph and download economic data for Job Openings: Construction (JTS2300JOL) from Dec 2000 to May 2025 about job openings, vacancy, construction, and USA.

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Background: The purpose of this study was to estimate the incidence and prevalence of hearing loss for noise-exposed U.S. workers by industry sector and 5-year time period, covering 30 years.

Methods: Audiograms for 1.8 million workers from 1981-2010 were examined. Incidence and prevalence were estimated by industry sector and time period. The adjusted risk of incident hearing loss within each time period and industry sector as compared with a reference time period was also estimated.

Results: The adjusted risk for incident hearing loss decreased over time when all industry sectors were combined. However, the risk remained high for workers in Healthcare and Social Assistance, and the prevalence was consistently high for Mining and Construction workers.

Conclusions: While progress has been made in reducing the risk of incident hearing loss within most industry sectors, additional efforts are needed within Mining, Construction and Healthcare and Social Assistance.

This data collection provides a series of measures relating to public safety for all SMSAs in the United States at two time periods. Variables include: municipal employment (e.g. number of municipal employees, number of police employees, police payrolls, municipal employees per 10,000 inhabitants), municipal revenue (total debt, property taxes, utility revenues, income taxes), nonmunicipal employment (retail services, mining services, construction services, finance services), crime rates (murder, robbery, auto theft, rape), labor force and unemployment, property value, and other miscellaneous topics.

#La CNESST listens to your data needs! Answer our questionnaire.## Do you use or have specific needs in connection with [CNESST] data (https://www.cnesst.gouv.qc.ca/fr)? Take a few minutes to answer the following questionnaire: Consultation on your CNESST data needs To communicate with us about: - the questionnaire, write to us about: - the questionnaire, write to us at donnees.ouvertes@cnesst.gouv.qc.ca. - of a technical problem, write to us at consultation@cnesst.gouv.qc.ca or call us on 1 donnees.ouvertes@cnesst.gouv.qc.ca 866 216-7918, specifying the title of the consultation. Thanks for your participation! # # The dataset contains prevention and inspection intervention files created from January 1 to December 31. The Commission on Standards, Equity, Health and Safety at Work (CNESST) focuses on the management of prevention by employers and workers and on the establishment or construction site of a prevention program or action plan. To carry out its mission, the CNESST carries out interventions in workplaces. The assignment of files to the inspector takes into account the organization's guidelines and prevention-inspection priorities. During their intervention, the inspector identifies the dangers and risks related to their mandate. After each intervention, the inspector records the results of the intervention in a report. For more information concerning the inspector's visit, his rights and the results of a visit, consult the CNESST website. In order to ensure respect for privacy and the protection of personal information, prevention and inspection intervention files are listed using an anonymous digital identifier, created for the data set.

This dataset provides median earnings in past 12 months for civilian employed population 16 years and over by sex and occupation for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B24012.

Sex categories included: Male, Female, and Both

Occupation categories included: Management occupations, Business and financial operations occupations, Computer and mathematical occupations, Architecture and engineering occupations, Life physical and social science occupations, Community and social service occupations, Legal occupations, Education training and library occupations, Arts design entertainment sports and media occupations, Health diagnosing and treating practitioners and other technical occupations, Health technologists and technicians, Healthcare support occupations, Fire fighting and prevention and other protective service workers including supervisors, Law enforcement workers including supervisors, Food preparation and serving related occupations, Building and grounds cleaning and maintenance occupations, Personal care and service occupations, Sales and related occupations, Office and administrative support occupations, Farming fishing and forestry occupations, Construction and extraction occupations, Installation maintenance and repair occupations, Production occupations, Transportation occupations, and Material moving occupations.

Occupations are organized into broader occupation groups and categories.

Background: Twenty-two million workers are exposed to hazardous noise in the United States. The purpose of this study is to estimate the prevalence of hearing loss among U.S. industries.

Methods: We examined 2000–2008 audiograms for male and female workers ages 18–65, who had higher occupational noise exposures than the general population. Prevalence and adjusted prevalence ratios (PRs) for hearing loss were estimated and compared across industries.

Results: In our sample, 18% of workers had hearing loss. When compared with the Couriers and Messengers industry sub-sector, workers employed in Mining (PR = 1.65, CI = 1.57–1.73), Wood Product Manufacturing (PR = 1.65, CL = 1.61– 1.70), Construction of Buildings (PR = 1.59, CI = 1.51–1.68), and Real Estate and Rental and Leasing (PR = 1.61, CL = 1.51–1.71) had higher risks for hearing loss.

Conclusions: Workers in the Mining, Manufacturing, and Construction industries need better engineering controls for noise and stronger hearing conservation strategies. More hearing loss research is also needed within traditional ‘‘low-risk’’ industries like Real Estate.

La CNESST listens to your data needs! Answer our questionnaire.## Do you use or have specific needs in connection with [CNESST] data (https://www.cnesst.gouv.qc.ca/fr)? Take a few minutes to answer the following questionnaire: Consultation on your CNESST data needs To communicate with us about: - the questionnaire, write to us about: - the questionnaire, write to us at donnees.ouvertes@cnesst.gouv.qc.ca. - of a technical problem, write to us at consultation@cnesst.gouv.qc.ca or call us on 1 donnees.ouvertes@cnesst.gouv.qc.ca 866 216-7918, specifying the title of the consultation. Thanks for your participation! # # The dataset contains prevention and inspection intervention files created from January 1 to December 31. The Commission on Standards, Equity, Health and Safety at Work (CNESST) focuses on the management of prevention by employers and workers and on the establishment or construction site of a prevention program or action plan. To carry out its mission, the CNESST carries out interventions in workplaces. The assignment of files to the inspector takes into account the organization's guidelines and prevention-inspection priorities. During their intervention, the inspector identifies the dangers and risks related to their mandate. After each intervention, the inspector records the results of the intervention in a report. For more information concerning the inspector's visit, his rights and the results of a visit, consult the CNESST website. In order to ensure respect for privacy and the protection of personal information, prevention and inspection intervention files are listed using an anonymous digital identifier, created for the data set.