In 2023, the GDP of New Hampshire amounted to around 93.47 billion U.S. dollars. The finance, insurance, real estate, rental, and leasing industry added the most real value to the gross domestic product of the state, amounting to 20.36 billion U.S. dollars. Comparatively, the mining, quarrying, and oil and gas extraction industry added around 155 million U.S. dollars worth of value to the state's GDP.

This graph shows the GDP of the Los Angeles metro area in 2022, by industry. In 2022, its GDP amounted to about **** trillion U.S. dollars. About **** billion U.S. dollars were generated by the manufacturing industry. The overall quarterly GDP growth in the United States can be found here.

Gross domestic product of Los Angeles

With a population of over *** million inhabitants in 2011, Los Angeles is the second largest city in America, following only New York. The Los Angeles metro area also ranked second among U.S. metro areas in terms of gross metropolitan product, second again only to New York City metro area, which came in with a GMP of USD ***** trillion to Los Angeles’ *** billion USD in 2011. Chicago metro area ranked third with GMP of *** billion U.S. dollars. Washington metro area ranked fourth with *** billion U.S. dollars in 2011. Additional detailed statistics about GDP and GMP in the United States is available here.

Despite Los Angeles’ high GDP, L.A. did not do as well as some cities in terms of median household income. Los Angeles ranked 11th with a median household income of ****** U.S. dollars annually in 2013. This was lower than the median household income of the United States in 2013, which came in at ****** U.S. dollars annually.

Located in Southern California, Los Angeles is home to Hollywood, the famous epicenter of the U.S. film and television industries. The United States is one of the leading film markets worldwide, producing *** films in 2011, many of them produced by Hollywood-based studios. In 2012, movie ticket sales in North America generated over **** billion U.S. dollars in box office revenue. Famous Hollywood actresses earn millions annually, with the best paid, Angelina Jolie, earning ** million U.S. dollars between ********* and *********. Second on the list was Jennifer Lawrence with earnings of ** million U.S. dollars.

In 2024, the finance, insurance, real estate, rental, and leasing industry contributed the highest amount of value to the GDP of the U.S. at 21.2 percent. The construction industry contributed around four percent of GDP in the same year.

CONTENT

The figures are based on GDP (Nominal) and sector composition ratios provided by the CIA World Fact Book. Agriculture includes farming, fishing, and forestry. Industry includes mining, manufacturing, energy production, and construction. Services cover government activities, communications, transportation, finance, and all other private economic activities that do not produce material goods.

CONTEXT

• Agriculture Sector : Agriculture Sector contributes 6.4 percent of total world's economic production. Total production of sector is $5,084,800 million. China is the largest contributer followed by India. China and India accounts for 19.49 and 7.39 percent of total global agricultural output. World's largest economy United States is at third place. Next in line come Brazil and Indonesia

• **Industry Sector : **With GDP of $23,835 billion, Industry Sector holds a share of 30% of total GDP nominal. China is the largest contributor followed by US. Japan is at 3rd and Germany is at 4th place. These four countries contributes 45.84 of total global industrial output.

• Services Sector : Services sector is the largest sector of the world as 63 percent of total global wealth comes from services sector. United States is the largest producer of services sector with around 15.53 trillion USD. Services sector is the leading sector in 201 countries/economies. 30 countries receive more than 80 percent of their GDP from services sector. Chad has lowest 27% contribution by services sector in its economy.

In 2023, the government and government enterprises industry added the most real value to the gross domestic product (GDP) of the District of Columbia, amounting to around 44.91 billion U.S. dollars. Comparatively, the information industry contributed around 12.89 billion U.S. dollars to the district's real GDP.

VITAL SIGNS INDICATOR
Jobs by Industry (EC1)

FULL MEASURE NAME
Employment by place of work by industry sector

LAST UPDATED
December 2022

DESCRIPTION
Jobs by industry refers to both the change in employment levels by industry and the proportional mix of jobs by economic sector. This measure reflects the changing industry trends that affect our region’s workers.

DATA SOURCE
Bureau of Labor Statistics, Quarterly Census of Employment and Wages (QCEW) - https://www.bls.gov/cew/downloadable-data-files.htm
1990-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Quarterly Census of Employment and Wages (QCEW) employment data is reported by the place of work and represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered.

Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations.

The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of California's employment in that same sector. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.

Data is mainly pulled from aggregation level 73, which is county-level summarized at the North American Industry Classification System (NAICS) supersector level (12 sectors). This aggregation level exhibits the least loss due to data suppression, in the magnitude of 1-2 percent for regional employment, and is therefore preferred. However, the supersectors group together NAICS 11 Agriculture, Forestry, Fishing and Hunting; NAICS 21 Mining and NAICS 23 Construction. To provide a separate tally of Agriculture, Forestry, Fishing and Hunting, the aggregation level 74 data was used for NAICS codes 11, 21 and 23.

QCEW reports on employment in Public Administration as NAICS 92. However, many government activities are reported with an industry specific code - such as transportation or utilities even if those may be public governmental entities. In 2021 for the Bay Area, the largest industry groupings under public ownership are Education and health services (58%); Public administration (29%) and Trade, transportation, and utilities (29%). With the exception of Education and health services, all other public activities were coded as government/public administration, regardless of industry group.

For the county data there were some industries that reported 0 jobs or did not report jobs at the desired aggregation/NAICS level for the following counties/years:

Farm:
(aggregation level: 74, NAICS code: 11) - Contra Costa: 2008-2010 - Marin: 1990-2006, 2008-2010, 2014-2020 - Napa: 1990-2004, 2013-2021 - San Francisco: 2019-2020 - San Mateo: 2013

Information:
(aggregation level: 73, NAICS code: 51) - Solano: 2001

Financial Activities:
(aggregation level: 73, NAICS codes: 52, 53) - Solano: 2001

Unclassified:
(aggregation level: 73, NAICS code: 99) - All nine Bay Area counties: 1990-2000 - Marin, Napa, San Mateo, and Solano: 2020 - Napa: 2019 - Solano: 2001

In 2023, the mining, quarrying, and oil and gas extraction industry added about 730 million chained 2017 U.S. dollars of value to New York's GDP. Total real GDP amounted to about 1.79 trillion chained 2017 U.S. dollars. In 2023, the per capita personal income in New York was 82,323 current U.S. dollars.

Overview This dataset contains information about the largest companies in the United States by revenue. It includes key attributes such as company name, industry, annual revenue, profit, number of employees, and the state where the company is headquartered. The dataset provides valuable insights into the financial and operational aspects of these major corporations.

Columns Rank: Ranking of the company based on its annual revenue. Name: Name of the company. Industry: Industry in which the company operates. Revenue: Annual revenue of the company in millions of dollars. Profit: Annual profit of the company in millions of dollars. Employees: Number of employees working for the company. State: State where the company’s headquarters are located. Key Insights Revenue Distribution: Significant variation in revenue among the top companies, with some generating much higher revenues. Profit Margins: Wide variation in profit margins, indicating different levels of profitability across industries. Employee Numbers: Disparity in the number of employees, reflecting differences in business models and operational scales. Geographic Spread: Companies are headquartered in various states, with certain states having a higher concentration of large companies. Potential Uses Industry Analysis: Understand trends and performance in different industries. Economic Research: Analyze the economic impact of these large companies. Business Strategy: Inform business strategies and market analysis. Educational Purposes: Use as a case study for business and economic courses. Future Work In-Depth Industry Analysis: Explore specific industries to identify trends and outliers. Time-Series Analysis: Analyze trends over time if historical data becomes available. Comparative Analysis: Compare with similar datasets from other countries. Advanced Visualization: Create interactive dashboards for better data presentation. This dataset is a valuable resource for anyone interested in the financial and operational characteristics of the largest companies in the United States.

Personal Income Tax Statistics for California resident sole proprietorships by major industry.

Luxembourg Business Survey: Industry: BM: Finished Goods Stocks: Too Large data was reported at 14.493 % in Nov 2018. This records an increase from the previous number of 6.195 % for Oct 2018. Luxembourg Business Survey: Industry: BM: Finished Goods Stocks: Too Large data is updated monthly, averaging 11.000 % from Jan 1992 (Median) to Nov 2018, with 323 observations. The data reached an all-time high of 95.738 % in Dec 2016 and a record low of 0.000 % in Oct 2017. Luxembourg Business Survey: Industry: BM: Finished Goods Stocks: Too Large data remains active status in CEIC and is reported by The Portal of Statistics of Luxembourg. The data is categorized under Global Database’s Luxembourg – Table LU.S001: Business Survey: Industry.

"Industry Profiles" is a series on the largest industries in Boston. They contain facts on employment, major employers, education, and more. This report highlights Boston's educational services industry.

In 2023, the GDP of Nevada amounted to around 195.41 billion U.S. dollars. The finance, insurance, real estate, rental, and leasing industry added the most real value to the gross domestic product of the state, amounting to around 40.41 billion U.S. dollars. In the same year, the manufacturing sector added around 8.48 billion U.S. dollars of value to the state's real GDP.

Graph and download economic data for Gross Domestic Product: All Industries in Major County, OK (GDPALL40093) from 2001 to 2023 about Major County, OK; OK; industry; GDP; and USA.

Graph and download economic data for Number of Private Establishments for All Industries in Major County, OK (ENU4009320510) from Q1 1990 to Q1 2025 about Major County, OK; OK; establishments; private industries; private; industry; and USA.

Introduction

Creator Economy Statisitcs: The Creator Economy is an evolving digital ecosystem where individuals generate income by creating and sharing original content, products, or services directly to online audiences. This economy grew alongside the rise of social media and e-commerce platforms, enabling creators such as influencers, artists, educators, and gamers to build personal brands and earn through sponsorships, advertisements, subscriptions, and direct sales. Technological advancements have democratized content creation, making it accessible to anyone with internet access, thus transforming how creativity and expertise are shared and monetized without reliance on traditional media or corporate intermediaries.

The Creator Economy industry encompasses the platforms, tools, investors, and businesses that support creators’ activities and monetization efforts. It includes social media networks, content marketplaces, payment systems, analytics services, and creator enablement tools that allow individuals to grow their audience, manage their presence, and commercialize their work. This industry is rapidly expanding with millions of active creators worldwide and significant capital inflows. It is shifting traditional marketing approaches as brands increasingly partner with creators for authentic engagement and niche targeting.

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TLDR: Editor’s Choice

• The global creator economy is set to grow from USD 149.4 Billion in 2024 to USD 1,072.8 Billion by 2034, at a strong 21.8% CAGR.
• Only 4%-10% of creators earn over USD 100K annually, making high-income professionals rare.
• YouTube, Instagram, and TikTok deliver the best ROI for brand campaigns.
• Over 91% of creators now use generative AI to scale content production.
• Around 500 million people are active in the passion economy.
• Gender split shows 52% men, while 46.7% of creators work full-time.
• Just 13% are Gen Z, and 67% have 1K–10K followers, highlighting micro-creators’ dominance.
• On average, creators take 6.5 months to earn their first dollar.
• 70% spend 10 hours or fewer weekly on content production.
• Merchandise businesses generate USD 500 Million+ annually within this ecosystem.
• Shopify leads the creator economy revenues with USD 5.2 Billion.

The Global Investment Report 2023 revealed that after a sharp decline in 2020 and a strong rebound in 2021, global foreign direct investment (FDI) declined by 12 percent to $1.3 trillion in 2022. However, in developing countries, FDI increased by 4% to $916 billion, a record share of more than 70% of global flows. The number of greenfield investment projects in developing countries increased by 37 percent and international project finance transactions by 5 percent. Foreign investment from China, the second largest recipient of foreign investment globally, increased by 5 percent. The service industry has become the mainstream industry in the global FDI structure. The global industry is accelerating its transformation to a "service-based economy," international FDI in productive service industries has become an essential means of industrial transfer in developed countries and a meaningful way to upgrade the industrial structure and high-quality development in emerging economies. As a representative province in central China, Hubei Province has unique advantages in human capital, factor cost, and market potential, which provide preferential conditions to attract foreign investment. This paper first introduced the concept of the productive service industry, based on the relevant statistical data from 2011 to 2022, focused on the current situation of foreign investment utilization in five major sub-sectors of the productive service industry in Hubei Province in the past ten years, and empirically investigated the impact of foreign investment utilization in five major sub-sectors of the productive service industry on the economic growth of Hubei Province, and obtained that the level of foreign investment attraction varied significantly among the regions in Hubei Province. The three productive service industries, namely transportation, storage and postal services, information transmission, software and information technology services, and financial services, played a significant role in the active attraction and optimal utilization of foreign capital and the economic development of Hubei Province. Based on this, it was proposed to build a market-oriented rule of law and internationalized business environment, improve the infrastructure construction in different regions of the province, focus on the training of professional talents for the development of productive service industries, and pay attention to the improvement of independent innovation capacity.

In 2023, the GDP of Tennessee was valued at around 422 U.S. dollars. The manufacturing industry contributed 57.71 billion U.S. dollars of value to the state's gross domestic product. The finance, insurance, real estate, rental, and leasing industry contributed the most to the state's GDP with a value of 74.53 billion U.S. dollars in value added in the same year.

The Major Label Music Production industry in California is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.

China % of Value Added of Core Industries of Digital Economy: Application of Digital Technology data was reported at 43.600 % in 2023. China % of Value Added of Core Industries of Digital Economy: Application of Digital Technology data is updated yearly, averaging 43.600 % from Dec 2023 (Median) to 2023, with 1 observations. The data reached an all-time high of 43.600 % in 2023 and a record low of 43.600 % in 2023. China % of Value Added of Core Industries of Digital Economy: Application of Digital Technology data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AVA: Value Added of Core Industries of Digital Economy.

Global Sharing Economy market size was USD 145.22 Billion in 2022. Sharing Economy Industry's Compound Annual Growth Rate will be 32.6% from 2023 to 2030. What is driving the Sharing Economy Market?

The proliferation of advanced digital platforms and devices

In recent years, the sharing economy has changed the way individuals share and conduct transactions in digital areas. The recent technological advancements have enabled transactions to take place on demand, to be precisely measurable in time and thus more scalable, and to be dynamically matched through an online platform. Advanced digital platforms and devices, such as smartphones and high-speed internet, have increased connectivity. This connectivity enables sharing economy platforms to connect providers and consumers effortlessly. People can easily access sharing economy services through mobile apps or websites, facilitating resource and service sharing. Digital platforms provide users with easy access to information about available resources and services. Through sharing economy platforms, individuals can quickly find and compare options, making it convenient to rent or share assets. The availability of detailed listings, photos, reviews, and ratings helps users make informed decisions and build trust in the sharing economy ecosystem. The companies in the sharing economy are growing as a result of profound shifts in consumer behavior. One of the major players in sharing economy is Uber which has in just a few years completely transformed industries and became the largest player in the sharing economy. Uber manages around 157 000 rides globally on an average day. According to Uber, 131 million people used Uber in 2022, an 11% increase by 2021. Moreover, the increasing adoption of smartphones is supporting the growth of the sharing economy. Smartphones provide individuals with constant access to sharing economy platforms, enabling on-the-go booking, real-time communication with service providers, and instant updates. The convenience and mobility offered by smartphones have significantly expanded the reach and usage of sharing economy services. According to the source GSMA Intelligence, smartphones accounted for 68% of total mobile connections in 2020,8 compared to 64% in 2019 and 47% in 2016 across the world. Thus, the increasing usage of smartphones globally led to adopt the digital platforms, which in turn fuels the growth of the sharing economy. Furthermore, the development of advanced digital platforms prioritizes user experience and offers intuitive interfaces by allowing individuals to easily navigate and interact with the platforms. Companies are increasingly expanding their business in the shared mobility industry and developing innovative platforms for users. For instance, Force Motors launched a next-generation shared mobility platform called Urbania. The simplicity and convenience of these platforms make it easy for users to engage in sharing activities, accelerating the growth of the sharing economy market. These technological advancements for the development of cost-effective products have been contributing to driving the growth and adoption of sharing economy services.

Changing consumer preferences fuels the market growth


Rising focus on sustainability and environmental consciousness (Access Detailed Analysis in the Full Report Version)


Substantial growth of the entertainment industry (Access Detailed Analysis in the Full Report Version)

Introduction of Sharing Economy

The sharing economy is an economic model defined as a peer-to-peer (P2P) based activity of providing, acquiring, or sharing access to goods and services that is often facilitated by a community-based online platform. Sharing economy (SE) is a relatively new field of economics, gaining more traction from various industries. It has several applications in materials, transportation, hospitality, and sharing of information and knowledge. SE is related to various economic and environmental aspects such as sustainability, environment-friendly practices, circularity, less production, and more responsible use of resources. Sharing economy helps connect goods and services seekers with their providers using technology. It helps businesses reduce costs and increase efficiency along with environment-friendly choices for consumers. Further, some prominent factors that led to the boost of economy sharing are...