This statistic shows the top ten industries of high-growth companies in the United States as of 2016. In 2016, about **** percent of U.S.-based high-growth companies were specialized in information technology services.

With one of the best tax climates in the nation as well as a strong workforce and solid infrastructure, Texas remains a top destination for manufacturers across multiple industries, from the oil industry to the auto sector, biotech to food processing. Home to 1.2 million workers or roughly 13% of the nation's manufacturing workforce, Texas remains the second-largest manufacturing state in the U.S. (after California) and is the largest state exporter, exporting a record $315 billion worth of goods in 2018. For those looking do business with Texas manufacturers, it helps to have an in-depth understanding of the state's manufacturing climate.

Between 2019 and 2023, oil and gas explorers and producers logged the highest total revenue worldwide, reaching *** trillion U.S. dollars. Life and health insurance carriers followed behind.

Washington State is not only home to the world's largest manufacturer in terms of volume, but also is among the most attractive states to do business. Washington's diverse manufacturing landscape features major names in aerospace, food processing, electronics and medical device manufacturing. Today, we are exploring Washington's innovative manufacturing sector and exploring the largest industrial companies operating in the state.

This statistic shows the top industries for billionaire wealth in 2015, globally. In 2015, 1.1 trillion U.S. dollars of billionaire wealth was in the fashion and retail industries.

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

The ASI extends to the entire country except the States of Arunachal Pradesh, Mizoram, and Sikkim and Union Territory of Lakshadweep. It covers all factories registered under Sections 2m(i) and 2m(ii) of the Factories Act, 1948 i.e. those factories employing 10 or more workers using power; and those employing 20 or more workers without using power. The survey also covers bidi and cigar manufacturing establishments registered under the Bidi & Cigar Workers (Conditions of Employment) Act, 1966 with coverage as above. All electricity undertakings engaged in generation, transmission and distribution of electricity registered with the Central Electricity Authority (CEA) were covered under ASI irrespective of their employment size. Certain servicing units and activities like water supply, cold storage, repairing of motor vehicles and other consumer durables like watches etc. are covered under the Survey. Though servicing industries like motion picture production, personal services like laundry services, job dyeing, etc. are covered under the Survey but data are not tabulated, as these industries do not fall under the scope of industrial sector defined by the United Nations.

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.

Merging of unit level data

As per existing policy to merge unit level data at ultimate digit level of NIC'08 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC-08 (5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC-08 (5 Digit) ending with '9' that do not figure in the book of NIC '08. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-09) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise the loss of information.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI. The geographical coverage of the Annual Survey of Industries, 2009-10 has been extended to the entire country except the states of Arunachal Pradesh, Mizoram and Sikkim and Union Territory of Lakshadweep.

Kind of data

Census and Sample survey data [cen/ssd]

Sampling procedure

Sample Design and Sample Allocation

There has not been any major change in the sampling strategy of ASI 2009-10 from that of ASI 2008-2009. The Census Sector has been defined as follows:

a) All industrial units belonging to the six less industrially developed states/ UT’s viz. Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. b) For the rest of the twenty-six states/ UT’s., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Strata (State by 4-digit of NIC-04) having less than or equal to four units after selecting the Census Sector units as defined above are also selected as census sector.

From the remaining frame, samples were drawn considering a uniform sampling fraction of 19% for the states within a State X 4-digit NIC with a minimum of 4 units evenly distributed in two sub-samples. The size of the live frame containing units with status ‘open’, ‘close’ or ‘non-operating’ was 2, 08, 417. 23,782 of these units belonged to the census sector, while the remaining 1, 84,635 units were from sample sector. Total sample size for ASI 2009-10 was 61,080 (23,782 census and 37,298 sample).

Sampling deviation

There was no deviation from sample design in ASI 2009-10.

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are available in the External Resources..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Home to 22,000 manufacturers and more than a million industrial workers, California is the largest manufacturing state in the U.S. The state's abundance of skilled labor and access to capital has drawn some key innovative enterprises to its borders, particularly in the aerospace and electronics industries. Today, we're focusing on the latest trends in California manufacturing, including the state's top industries and cities, and we'll also explore its ten largest manufacturing companies.

This dataset contains corporate tax statistics based on tax returns (C and S Corporations).

As of January 2024, the most profitable industry in the United States was money center banking, with a profit margin of 30.89 percent. The profit margin of the regional banking was not too far off, with a net profit margin of 29.67.

Competition data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are provided, tab-delimited .txt files, Matlab .mat files, and tab-delimited .scn files. The scenario (.scn) files are read by the DXC framework. See the DXC'10 Industrial Track Sample Data resource page for additional documentation, including system catalogs and schematics.

Manufacturing industries, annual 21 principal statistics (revenues, expenses, salaries, employment, stocks, etc.), by North American Industry Classification System (NAICS), total and 3-digit level.

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

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.

Merging of unit level data

As per existing policy to merge unit level data at ultimate digit level of NIC'08 (i.e., 5 digit) for the purpose of dissemination, the data have been merged for industries having less than three units within State, District and NIC-08 (5 Digit) with the adjoining industries within district and then to adjoining districts within a state. There may be some NIC-08 (5 Digit) ending with '9' that do not figure in the book of NIC '08. These may be treated as 'Others' under the corresponding 4-digit group. To suppress the identity of factories data fields corresponding to PSL number, Industry code as per Frame (4-digit level of NIC-09) and RO/SRO code have been filled with '9' in each record.

It may please be noted that, tables generated from the merged data may not tally with the published results for few industries, since the merging for published data has been done at aggregate-level to minimise the loss of information.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI. The geographical coverage of the Annual Survey of Industries, 2009-10 has been extended to the entire country except the states of Arunachal Pradesh, Mizoram and Sikkim and Union Territory of Lakshadweep.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design and Sample Allocation

There has not been any major change in the sampling strategy of ASI 2009-10 from that of ASI 2008-2009. The Census Sector has been defined as follows:

a) All industrial units belonging to the six less industrially developed states/ UT’s viz. Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. b) For the rest of the twenty-six states/ UT’s., (i) units having 100 or more workers, and (ii) all factories covered under Joint Returns.

Strata (State by 4-digit of NIC-04) having less than or equal to four units after selecting the Census Sector units as defined above are also selected as census sector.

From the remaining frame, samples were drawn considering a uniform sampling fraction of 19% for the states within a State X 4-digit NIC with a minimum of 4 units evenly distributed in two sub-samples. The size of the live frame containing units with status ‘open’, ‘close’ or ‘non-operating’ was 2, 08, 417. 23,782 of these units belonged to the census sector, while the remaining 1, 84,635 units were from sample sector. Total sample size for ASI 2009-10 was 61,080 (23,782 census and 37,298 sample).

Sampling deviation

There was no deviation from sample design in ASI 2009-10.

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries Questionnaire (in External Resources) is divided into different blocks:

BLOCK A.IDENTIFICATION PARTICULARS BLOCK B. PARTICULARS OF THE FACTORY (TO BE FILLED BY OWNER OF THE FACTORY) BLOCK C: FIXED ASSETS BLOCK D: WORKING CAPITAL & LOANS BLOCK E : EMPLOYMENT AND LABOUR COST BLOCK F : OTHER EXPENSES BLOCK G : OTHER INCOMES BLOCK H: INPUT ITEMS (indigenous items consumed) BLOCK I: INPUT ITEMS – directly imported items only (consumed) BLOCK J: PRODUCTS AND BY-PRODUCTS (manufactured by the unit)

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, Tabulation program and ASICC code are available in the External Resources..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula (Pl ease refer to Estimation Procedure document in external resources). Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

Gross value added by A*10 industry- international data cooperation annual data

Assessment of vendor landscape focused on selected top ten companies in insulation market, their market strategies, business segments, product portfolio and financial performance.

Brazil Number of Employed Person: 10 to 19 Persons: Manufacturing (Mfg) data was reported at 689,671.000 Person in 2017. This records a decrease from the previous number of 708,040.000 Person for 2016. Brazil Number of Employed Person: 10 to 19 Persons: Manufacturing (Mfg) data is updated yearly, averaging 727,949.000 Person from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 767,622.000 Person in 2013 and a record low of 653,219.000 Person in 2006. Brazil Number of Employed Person: 10 to 19 Persons: Manufacturing (Mfg) data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SH015: Enterprise Industry: No of Employed Person: by Industry: 10 to 19 Persons.

Home to MIT and Harvard, Massachusetts has its pick of innovators and the state's manufacturing sector reflects that, with strongholds in medical and surgical instruments, electronics and pharmaceuticals. This article will explore the latest data on Massachusetts manufacturers and share some essential insights provided by the state's top industrial companies.

This table contains 10125 series, with data for years 2014 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Country of control (3 items: Total country of control; Canada; Foreign) Location of recipients (3 items: Total location of recipients; Within Canada; Outside Canada) Sector of recipients (15 items: Total outsourced (contracted out or granted) payments for research and development performed by other organizations; Business enterprise sector; Parent, affiliated and subsidiary companies; Other companies; ...).

Global Square Pails Market was valued at $2638.9 Million in 2023 and is projected to reach $4711.5 Million by 2032, at a CAGR of 6% from 2024 to 2032.

The state of Connecticut boasts a diverse manufacturing sector, making everything from high-tech aeronautics equipment and medical devices to semiconductor components and pharmaceuticals. With its highly educated workforce and focus on advanced manufacturing, Connecticut remains a top destination for high-tech and innovative enterprises. Today, we're exploring some of the key facts on the state's unique industrial sector and examining Connecticut's ten largest manufacturing companies, based on data collected by MNI.

Collaborative Robots Market Overview

Collaborative robots, or cobots, are designed to work safely alongside humans, sharing workspace and performing tasks collaboratively. They feature advanced safety features like sensors for detecting obstacles and human contact, making them suitable for manufacturing, logistics, healthcare, agriculture, and more applications.

Cobots are known for their user-friendly programming and flexibility, allowing easy task reconfiguration and adaptability to changing needs. They offer advantages such as improved safety, increased productivity, cost-efficiency, and skill enhancement but face challenges related to payload and speed limitations, integration complexity, programming, initial investment costs, and security concerns.

Overall, cobots represent a valuable solution for industries seeking to incorporate automation while maintaining a collaborative and efficient work environment.