Between 2019 and 2023, oil and gas explorers and producers logged the highest total revenue worldwide, reaching 5.3 trillion U.S. dollars. Life and health insurance carriers followed behind.

By the year 2033, it is projected that the number of employees working in services for the elderly and persons with disabilities around 613,700 employees. Additionally, the computer systems design and related services workforce is expected to grow by around 487,600 workers.

The U.S. manufacturing sector remains a global powerhouse, shaping countless products we rely on every day. From towering skyscrapers to intricate medical devices, American manufacturers drive innovation and economic growth. According to the National Association of Manufacturers, manufacturers in the United States perform more than three-quarters of all private-sector research and development (R&D) in the nation, driving more innovation than any other sector.

In 2024, Cargill was the largest private company in the United States, by revenue. That year, they had a revenue of 160 billion U.S. dollars. In comparison, gas station company QuikTrip made around 19.6 billion U.S. dollars. Cargill Cargill is a multinational corporation that focuses on agricultural services, crop and livestock, raw materials, and health and pharmaceuticals. Most of their business focuses on purchasing and distributing grain, palm oil, energy trade, and steel. It is a family-owned business headquartered in Minnetonka, Minnesota, and founded in 1865. It operates in over 60 countries, has about 150,000 employees, and is responsible for about a quarter of all United States grain exports. Additionally, it also supplies about a quarter of the domestic meat market. Largest U.S. companies United Healthcare Group was the largest health insurance company in 2018, while SC Johnson was the largest private household and personal care product company. United Healthcare is also headquartered in Minnetonka, Minnesota, while SC Johnson is headquartered in Racine, Wisconsin. United Healthcare is not only the largest health insurance company in the United States, but also worldwide. Furthermore, SC Johnson is one of the oldest family-owned companies in the country, and currently over owns over 20 brands.

This dataset provides information on 20 in Saudi Arabia as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

Understanding the dynamic link between the development of COVID-19 pandemic and industry sector risk spillovers is crucial to explore the underlying mechanisms by which major public health events affect economic systems. This paper applies ElasticNet method proposed by Diebold and Yilmaz (2009, 2012, 2014) to estimate the dynamic risk spillover indicators of 20 industrial sectors in China from 2016 to 2022, and systematically examines the impact of industry risk network fluctuations and the transmission path caused by COVID-19 shock. The findings reveal that risk spillovers of Chinese industries show a dynamic change of "decline-fluctuation-rebound" with the three phases of COVID-19 epidemic. At the beginning of the epidemic, machinery and equipment, paper and printing, tourism and hotels, media and information services, and agriculture were the exporters of epidemic risk, while materials, transportation equipment, commercial trade, health care, and environmental protection were the importers of epidemic risk; However, as the epidemic developed further, the direction and effect of risk transmission in the industry was reversed. Examining the network characteristics of the pair sectors, we found that under the epidemic shock, the positive risk spillover from tourism and hotels, culture, education and sports to consumer goods, finance, and energy industries was significantly increased, and finance and real estate industries were affected by the risk impact of more industries, while the number of industries affected by information technology and computer industry was significantly reduced. This paper shows that there is inter-industry risk transmission of the COVID-19 epidemic shock, and the risk transmission feeds back in a cycle between industries as the epidemic develops, driving the economy into a vicious circle. The role of the service sector in blocking the spread of negative shocks from the epidemic should be emphasized and brought into play to avoid increasing the overall economic vulnerability. This study will help to deepen the understanding of scholars and policy makers on the network transmission effects of the epidemic.

Spain Number of Companies: Industry: >20 Employees: Machinery for General Purposes data was reported at 178.000 Unit in 2015. This records an increase from the previous number of 167.000 Unit for 2014. Spain Number of Companies: Industry: >20 Employees: Machinery for General Purposes data is updated yearly, averaging 171.000 Unit from Dec 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 193.000 Unit in 2008 and a record low of 166.000 Unit in 2012. Spain Number of Companies: Industry: >20 Employees: Machinery for General Purposes data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.O015: Number of Companies: Industrial Survey: NACE 2009.

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.

Total Union Budget allocation for the Department of Heavy Industry under the Ministry of Heavy Industries and Public Enterprises. It contains budgetary allocations for expenditures related to Investments in Public Sector Enterprises, Non Plan Loans to Public Sector Enterprises etc.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show populations by industries by ARC 20 County in the Atlanta region. The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website. Naming conventions: Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)Suffixes:NoneChange over two periods_eEstimate from most recent ACS_mMargin of Error from most recent ACS_00Decennial 2000 Attributes: SumLevelSummary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)GEOIDCensus tract Federal Information Processing Series (FIPS) code NAMEName of geographic unitPlanning_RegionPlanning region designation for ARC purposesAcresTotal area within the tract (in acres)SqMiTotal area within the tract (in square miles)CountyCounty identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)CountyNameCounty NameCivEmployed_e# Civilian employed, 2017CivEmployed_m# Civilian employed, 2017 (MOE)AgForInd_e# Agriculture, forestry, fishing and hunting, and mining industries, 2017AgForInd_m# Agriculture, forestry, fishing and hunting, and mining industries, 2017 (MOE)pAgForInd_e% Agriculture, forestry, fishing and hunting, and mining industries, 2017pAgForInd_m% Agriculture, forestry, fishing and hunting, and mining industries, 2017 (MOE)ConstInd_e# Construction industry, 2017ConstInd_m# Construction industry, 2017 (MOE)pConstInd_e% Construction industry, 2017pConstInd_m% Construction industry, 2017 (MOE)ManufInd_e# Manufacturing industry, 2017ManufInd_m# Manufacturing industry, 2017 (MOE)pManufInd_e% Manufacturing industry, 2017pManufInd_m% Manufacturing industry, 2017 (MOE)WholesaleInd_e# Wholesale trade industry, 2017WholesaleInd_m# Wholesale trade industry, 2017 (MOE)pWholesaleInd_e% Wholesale trade industry, 2017pWholesaleInd_m% Wholesale trade industry, 2017 (MOE)RetailInd_e# Retail trade industry, 2017RetailInd_m# Retail trade industry, 2017 (MOE)pRetailInd_e% Retail trade industry, 2017pRetailInd_m% Retail trade industry, 2017 (MOE)TransportInd_e# Transportation and warehousing, and utilities industries, 2017TransportInd_m# Transportation and warehousing, and utilities industries, 2017 (MOE)pTransportInd_e% Transportation and warehousing, and utilities industries, 2017pTransportInd_m% Transportation and warehousing, and utilities industries, 2017 (MOE)InfoInd_e# Information industry, 2017InfoInd_m# Information industry, 2017 (MOE)pInfoInd_e% Information industry, 2017pInfoInd_m% Information industry, 2017 (MOE)FIREInd_e# Finance and insurance, and real estate and rental and leasing industries, 2017FIREInd_m# Finance and insurance, and real estate and rental and leasing industries, 2017 (MOE)pFIREInd_e% Finance and insurance, and real estate and rental and leasing industries, 2017pFIREInd_m% Finance and insurance, and real estate and rental and leasing industries, 2017 (MOE)ProfSciInd_e# Professional, scientific, and management, and administrative and waste management services industries, 2017ProfSciInd_m# Professional, scientific, and management, and administrative and waste management services industries, 2017 (MOE)pProfSciInd_e% Professional, scientific, and management, and administrative and waste management services industries, 2017pProfSciInd_m% Professional, scientific, and management, and administrative and waste management services industries, 2017 (MOE)EdHealthInd_e# Educational services, health care and social assistance industries, 2017EdHealthInd_m# Educational services, health care and social assistance industries, 2017 (MOE)pEdHealthInd_e% Educational services, health care and social assistance industries, 2017pEdHealthInd_m% Educational services, health care and social assistance industries, 2017 (MOE)ArtEntInd_e# Arts, entertainment, and recreation, and accommodation and food services industries, 2017ArtEntInd_m# Arts, entertainment, and recreation, and accommodation and food services industries, 2017 (MOE)pArtEntInd_e% Arts, entertainment, and recreation, and accommodation and food services industries, 2017pArtEntInd_m% Arts, entertainment, and recreation, and accommodation and food services industries, 2017 (MOE)OthServiceInd_e# Other service industries, except public administration, 2017OthServiceInd_m# Other service industries, except public administration, 2017 (MOE)pOthServiceInd_e% Other service industries, except public administration, 2017pOthServiceInd_m% Other service industries, except public administration, 2017 (MOE)PubAdminInd_e# Public administration industry, 2017PubAdminInd_m# Public administration industry, 2017 (MOE)pPubAdminInd_e% Public administration industry, 2017pPubAdminInd_m% Public administration industry, 2017 (MOE)last_edited_dateLast date the feature was edited by ARC Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2013-2017 For additional information, please visit the Census ACS website.

The PRODCOM series of reports contain data on the sales by UK based manufacturers of individual products covered by the PRODCOM inquiry, together with exports and imports data.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: Division 20

By the year 2033, the number of employees working in local elementary and secondary schools will have declined by about 107,000. General merchandise retailers are also expected to see a steep employment decline, losing around 89,000 jobs.

Company Intelligence Name and Websites - Company Website and Alternative Domains.
Address - Standardized headquarter Address, City, Region, Zip Code, and Country LAT / LONG - Used for Geo Location Locations - Additional office locations of the business Phone - Standardized headquarter phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, Twitter, Yelp, Instagram Type - Headquarters, Branch, Local Only Description - detailed overview of the company business model and pursuit. Industry - Standardized Industries to segment companies by their most notable contributions Sector - 20 industry groupings Specialties - Non industry details shared by the company to better understand what they do SIC Code - 839 industry classifications and their definitions Revenue - Annual revenue from 1M to over 1B Employee - Number of Employees at the company

Similar Companies - used to identify competitors Funding - for start up data IP Address - from the hosted website Affiliated Companies - company hierarchy

With over 20 million businesses, all held in-house, BoldData has the largest supply of Brazilian B2B data. We can select your perfect target based on numerous interesting selections: from 3,000 industries to region, turnover, sector, contact person and the number of employees.

Other questions or are you looking for another city or country? Our data experts are specialized in supervising international campaigns. We have specific direct marketing knowledge per country and have highly accurate data of 300 million companies in 150+ countries. Contact us for free tailor-made advice and an independent quote.

The global Tween-20 market is experiencing robust growth, driven by its increasing applications across diverse industries. While precise market size data for 2025 is unavailable, a reasonable estimation, considering typical CAGR ranges for specialty chemicals and the provided historical period (2019-2024), places the 2025 market value at approximately $500 million. Assuming a conservative CAGR of 6% for the forecast period (2025-2033), the market is projected to reach approximately $840 million by 2033. Key drivers include the rising demand for Tween-20 as an emulsifier and surfactant in the food and pharmaceutical sectors, fueled by increasing consumer demand for processed foods and the expansion of the pharmaceutical industry globally. Furthermore, growing applications in cosmetics and other industries contribute to market expansion. The segments exhibiting the strongest growth are Purity ≥99% and those catering to the pharmaceutical industry, reflecting the stringent quality standards in this sector. However, regulatory hurdles and potential fluctuations in raw material prices pose some restraints to market expansion. Competition among established players like Dideu Group, Jiahua Chemicals, and others is intensifying, leading to price competitiveness and technological advancements. Geographical expansion, particularly in emerging economies of Asia-Pacific, presents significant opportunities for market growth. The regional distribution of the Tween-20 market reflects the global distribution of its key consumer industries. North America and Europe currently hold significant market shares, owing to established manufacturing and consumer bases. However, Asia-Pacific, particularly China and India, are witnessing rapid growth due to expanding industrialization and increasing demand from food and pharmaceutical sectors. The South American and Middle Eastern & African markets represent considerable untapped potential, with opportunities for future growth contingent upon economic development and infrastructure improvements. The market segmentation by purity level highlights the preference for higher purity grades, particularly in pharmaceutical applications. This trend is expected to continue, driving demand for higher-quality Tween-20 and innovation in manufacturing processes. Overall, the Tween-20 market exhibits a positive outlook, promising sustained growth in the coming years.

Explore the growth potential of Market Research Intellect's TDI 80-20 Market Report, valued at USD 3.5 billion in 2024, with a forecasted market size of USD 5.1 billion by 2033, growing at a CAGR of 4.8% from 2026 to 2033.

Spain Number of Companies: Industry: <20 Employees: Cutting & Shaping of Stone data was reported at 153.000 Unit in 2015. This records a decrease from the previous number of 3,281.000 Unit for 2014. Spain Number of Companies: Industry: <20 Employees: Cutting & Shaping of Stone data is updated yearly, averaging 2,924.500 Unit from Dec 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 3,500.000 Unit in 2013 and a record low of 153.000 Unit in 2015. Spain Number of Companies: Industry: <20 Employees: Cutting & Shaping of Stone data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.O015: Number of Companies: Industrial Survey: NACE 2009.

Learn more about Market Research Intellect's Generator Up To 20 Kva Industry Research Report Market Report, valued at USD 4.5 billion in 2024, and set to grow to USD 7.2 billion by 2033 with a CAGR of 6.5% (2026-2033).

Graph and download economic data for Domestic Finance Companies, Reserves for Losses, Flow (STFAFLXDFBANQ) from Q2 1984 to Q1 2025 about gains/losses, finance companies, companies, flow, finance, reserves, financial, domestic, and USA.

With a market capitalization of 3.12 trillion U.S. dollars as of May 2024, Microsoft was the world’s largest company that year. Rounding out the top five were some of the world’s most recognizable brands: Apple, NVIDIA, Google’s parent company Alphabet, and Amazon. Saudi Aramco led the ranking of the world's most profitable companies in 2023, with a pre-tax income of nearly 250 billion U.S. dollars. How are market value and market capitalization determined? Market value and market capitalization are two terms frequently used – and confused - when discussing the profitability and viability of companies. Strictly speaking, market capitalization (or market cap) is the worth of a company based on the total value of all their shares; an important metric when determining the comparative value of companies for trading opportunities. Accordingly, many stock exchanges such as the New York or London Stock Exchange release market capitalization data on their listed companies. On the other hand, market value technically refers to what a company is worth in a much broader context. It is determined by multiple factors, including profitability, corporate debt, and the market environment as a whole. In this sense it aims to estimate the overall value of a company, with share price only being one element. Market value is therefore useful for determining whether a company’s shares are over- or undervalued, and in arriving at a price if the company is to be sold. Such valuations are generally made on a case-by-case basis though, and not regularly reported. For this reason, market capitalization is often reported as market value. What are the top companies in the world? The answer to this question depends on the metric used. Although the largest company by market capitalization, Microsoft's global revenue did not manage to crack the top 20 companies. Rather, American multinational retailer Walmart was ranked as the largest company in the world by revenue. Walmart also had the highest number of employees in the world.