Graph and download economic data for Manufacturing Sector: Output per Worker for All Workers (PRS30006162) from Q2 1987 to Q2 2025 about productivity, output, sector, per capita, manufacturing, real, rate, and USA.

Manufacturing Production in China increased 5.70 percent in August of 2025 over the same month in the previous year. This dataset provides - China Manufacturing Production- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis.

Graph and download economic data for Manufacturing Sector: Hours Worked for All Workers (PRS30006031) from Q1 1988 to Q2 2025 about productivity, sector, hours, persons, manufacturing, rate, and USA.

Manufacturing Production in Austria increased 1.80 percent in August of 2025 over the same month in the previous year. This dataset provides - Austria Manufacturing Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023, the share of value added by the manufacturing industry to the gross domestic product in Colombia was **** percent. Between 1965 and 2023, the figure dropped by **** percentage points, though the decline followed an uneven course rather than a steady trajectory.

View monthly updates and historical trends for Slovenia Industrial Production Index: Manufacturing. Source: Eurostat. Track economic data with YCharts ana…

The production value of the leather and related products manufacturing industry of France amounted to approximately 8.79 billion Euros in 2022. This is higher than in 2021, when the production value had been around 7.16 billion Euros.

Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems. The object classes are also designed to be extensible so that they can be used to model more complex processes.In addition to modeling the behavior of existing systems, Simantha is also intended for use with simulation-based optimization and planning applications. For instance, users may be interested in evaluating alternative maintenance policies for a particular system. Estimating the expected system performance under each candidate policy will require a large number of simulation replications when the system is subject to a high degree of stochasticity. Simantha therefore supports parallel simulation replications to make this procedure more efficient.Github repository: https://github.com/usnistgov/simantha

China Manufacturing: YoY: Value Added of Industry data was reported at 6.100 % in Oct 2018. This records an increase from the previous number of 5.700 % for Sep 2018. China Manufacturing: YoY: Value Added of Industry data is updated monthly, averaging 7.000 % from Jun 2013 (Median) to Oct 2018, with 55 observations. The data reached an all-time high of 11.400 % in Oct 2013 and a record low of 5.700 % in Sep 2018. China Manufacturing: YoY: Value Added of Industry data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.MFG: Manufacturing.

View monthly updates and historical trends for US Manufacturers Inventories. from United States. Source: Census Bureau. Track economic data with YCharts a…

This statistic represents the projected value of the market for digital manufacturing in 2030, by industry segment. In 2030, the product launch market segment is expected to be worth around *** billion U.S. dollars. The total market for digital manufacturing is expected to be sized at around *** trillion U.S. dollars, globally.

U.S. Industrial Production - Manufacturing - Historical chart and current data through 2025.

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Occupational accident statistics, relationship between types of accidents and injured body parts by manufacturing sector (annual) data

Graph and download economic data for Manufacturing Sector: Labor Productivity (Output per Hour) for All Workers (PRS30006091) from Q1 1988 to Q2 2025 about per hour, productivity, output, sector, persons, manufacturing, real, rate, and USA.

Release Date: 2021-01-28.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data products releases, see Economic Census: About: 2017 Release Schedule...Key Table Information:.Includes only establishments of firms with payroll. .Data may be subject to employment-and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records:.Employment size of establishments.Number of establishments..Geography Coverage:.The data are shown for employer establishments and firms for the U.S., States, and County levels at the U.S. that vary by industry. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies. ..Industry Coverage:.The data are shown at the 2- through 6-digit 2017 NAICS code levels for U.S. and States; and at the 2- through 3-digit 2017 NAICS code levels for Counties. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists. ..Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector31/EC1731LOCMFG.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - 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 applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Manufacturing Industries: Punjab: Other Manufacturing: Total Output data was reported at 24,036.800 INR mn in 2022. This records an increase from the previous number of 12,507.000 INR mn for 2021. Manufacturing Industries: Punjab: Other Manufacturing: Total Output data is updated yearly, averaging 12,557.450 INR mn from Mar 2009 (Median) to 2022, with 14 observations. The data reached an all-time high of 24,036.800 INR mn in 2022 and a record low of 4,895.100 INR mn in 2010. Manufacturing Industries: Punjab: Other Manufacturing: Total Output data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAF026: Manufacturing Industry: NIC 2008: By State: Punjab.

Manufacturing Industries: Uttar Pradesh: Factories data was reported at 17,481.000 Unit in 2022. This records an increase from the previous number of 16,503.000 Unit for 2021. Manufacturing Industries: Uttar Pradesh: Factories data is updated yearly, averaging 12,385.500 Unit from Mar 1999 (Median) to 2022, with 24 observations. The data reached an all-time high of 17,481.000 Unit in 2022 and a record low of 8,980.000 Unit in 2003. Manufacturing Industries: Uttar Pradesh: Factories data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAF032: Manufacturing Industry: NIC 2008: By State: Uttar Pradesh.

Movements in the volume of production for the UK production industries: manufacturing, mining and quarrying, energy supply, and water and waste management. Figures are seasonally adjusted.