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.

In 2024, the finance, real estate, insurance, rental, and leasing industry added the most value to the GDP of the United States. In that year, this industry added 6.2 trillion U.S. dollars to the national GDP. Gross Domestic Product Gross domestic product is a measure of how much a country produces in a certain amount of time. Countries with a high GDP tend to have large economies, for example, the United States. However, GDP does not take into consideration the cost of living and inflation rates, so it is not a good measure of the standard of living. GDP per capita at purchasing power parity is thought to be more reflective of living conditions within a particular country. U.S. GDP California added the largest amount of value to the real GDP of the U.S. in 2022. California was followed by Texas and New York. In California, the professional and business services industry was the most valuable to GDP in 2022. In New York, the finance, insurance, real estate, rental, and leasing industry added the most value to the state GDP. While the business sector added the highest value to the U.S. real GDP in 2021, it was the information industry that had the biggest percentage change in value added to the GDP between 2010 and 2021.

United States GDP: PI: Manufacturing: DG: Primary Metal Industries data was reported at 55.225 USD bn in 1997. This records an increase from the previous number of 52.553 USD bn for 1996. United States GDP: PI: Manufacturing: DG: Primary Metal Industries data is updated yearly, averaging 21.342 USD bn from Dec 1947 (Median) to 1997, with 51 observations. The data reached an all-time high of 55.225 USD bn in 1997 and a record low of 5.584 USD bn in 1947. United States GDP: PI: Manufacturing: DG: Primary Metal Industries data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A207: NIPA 1995: GDP by Industry: Current Price.

Graph and download economic data for Employment for Manufacturing: Primary Metal Manufacturing (NAICS 331) in the United States (IPUEN331W201000000) from 1988 to 2024 about primary metals, primary, NAICS, metals, IP, manufacturing, employment, and USA.

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.

United States US: Aerospace Industry: Trade Balance data was reported at 48.890 USD bn in 2021. This records an increase from the previous number of 37.029 USD bn for 2020. United States US: Aerospace Industry: Trade Balance data is updated yearly, averaging 39.437 USD bn from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 86.993 USD bn in 2016 and a record low of 20.681 USD bn in 1995. United States US: Aerospace Industry: Trade Balance data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Trade Statistics: OECD Member: Annual.

For the United States, from 2021 onwards, changes to the US BERD survey questionnaire allowed for more exhaustive identification of acquisition costs for ‘identifiable intangible assets’ used for R&D. This has resulted in a substantial increase in reported R&D capital expenditure within BERD. In the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008. From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.

Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly. Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category “wholesale trade” and consequently the BERD for total services.

U.S. R&D data are generally comparable, but there are some areas of underestimation:

1. i) Up to 2008, Government sector R&D performance covers only federal government activities. That by State and local government establishments is excluded;
2. ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures. For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.

Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.

The methodology for estimating researchers was changed as of 1985. In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities. As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.

Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector. The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.

Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000. 2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure – “R&D plant” in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Primary Metal Manufacturing (331) in the United States (USPRIMETMANQGSP) from 1997 to 2023 about primary metals, quantity index, primary, metals, GSP, durable goods, private industries, goods, private, manufacturing, industry, GDP, and USA.

The number of manufacturing enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.21 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 297.07 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Depicted here are enterprises in the industrial sector of manufacturing, as defined in the ISIC classification framework.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Gross Domestic Product (GDP) at basic prices, by various North American Industry Classification System (NAICS) aggregates, volume measures, lowest industry levels only, (dollars x 1,000,000), annual average, 5 most recent time periods.

United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data was reported at 17.169 Per 1000 in 2020. This records an increase from the previous number of 15.152 Per 1000 for 2019. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data is updated yearly, averaging 13.282 Per 1000 from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 17.169 Per 1000 in 2020 and a record low of 12.478 Per 1000 in 2012. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

The MSTI variable 'Value added in industry' is used to this end:

It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

United States Industrial Production Index: sa: Stage of Process: Primary data was reported at 100.101 2002=100 in May 2010. This records an increase from the previous number of 99.348 2002=100 for Apr 2010. United States Industrial Production Index: sa: Stage of Process: Primary data is updated monthly, averaging 89.382 2002=100 from Jan 1972 (Median) to May 2010, with 461 observations. The data reached an all-time high of 107.979 2002=100 in Jan 2008 and a record low of 71.992 2002=100 in Feb 1983. United States Industrial Production Index: sa: Stage of Process: Primary data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.B050: Industrial Production Index: By Stage of Process: 2002=100.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Industry: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 18(15.52%) households with a householder aged between 25 and 44 years, 74(63.79%) households with a householder aged between 45 and 64 years, and 24(20.69%) households where the householder is over 65 years old.
• The age group of 65 years and over exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Industry, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Industry median household income by age. You can refer the same here

Graph and download economic data for Gross Domestic Product: Primary Metal Manufacturing (331) in Washington (WAPRIMETMANNGSP) from 1997 to 2023 about primary metals, primary, WA, metals, GSP, durable goods, private industries, goods, private, manufacturing, industry, GDP, and USA.

United States PPI: Svcs: SC: NC: CF: Primary Services (PS) data was reported at 284.948 Dec1994=100 in Apr 2025. This records an increase from the previous number of 284.308 Dec1994=100 for Mar 2025. United States PPI: Svcs: SC: NC: CF: Primary Services (PS) data is updated monthly, averaging 190.600 Dec1994=100 from Dec 1994 (Median) to Apr 2025, with 365 observations. The data reached an all-time high of 284.948 Dec1994=100 in Apr 2025 and a record low of 100.000 Dec1994=100 in Dec 1994. United States PPI: Svcs: SC: NC: CF: Primary Services (PS) 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.I: Producer Price Index: by Industry: Services: Selected Health Care Industries.

The U.S. machine tool industry, a vital component of American manufacturing, is projected to maintain steady growth over the forecast period (2025-2033). With a 2025 market size of $12.25 billion and a Compound Annual Growth Rate (CAGR) of 3.38%, the industry is poised for continued expansion, driven by several key factors. Increased automation across various sectors, including automotive, aerospace & defense, and precision engineering, fuels demand for advanced machine tools. The rising adoption of Industry 4.0 technologies, such as CNC machining centers and robotics, further propels market growth. Government initiatives promoting domestic manufacturing and infrastructure development also contribute positively. However, challenges remain. Supply chain disruptions, fluctuating raw material prices, and skilled labor shortages could potentially constrain growth. The segmentation within the industry reflects this dynamism, with Metalworking Machines capturing a significant share, followed by parts and accessories, and services like installation, repair, and maintenance. The automotive and fabrication sectors remain dominant end-users, but growth is also anticipated from aerospace & defense and precision engineering. Companies like TRUMPF, Haas Automation, and Amada continue to hold significant market share, but smaller, specialized firms are also contributing to innovation and technological advancement within specific niches. This competitive landscape ensures ongoing development and refinement of machine tools, adapting to the evolving needs of diverse manufacturing sectors. The industry's trajectory is influenced by the interplay of technological advancements and macroeconomic conditions. While the consistent CAGR suggests a predictable growth pattern, unforeseen events could lead to deviations. For instance, a significant recession or geopolitical instability could negatively impact investment in capital equipment like machine tools. Conversely, increased government investment in infrastructure projects or a major technological breakthrough could accelerate growth beyond current projections. Continuous monitoring of these factors is essential to understand the true dynamism of this critical industry segment. The long-term outlook remains positive, contingent on the successful navigation of these potential headwinds and capitalizing on opportunities presented by technological progress and evolving manufacturing demands. This report provides a detailed analysis of the U.S. machine tool industry, offering invaluable insights for businesses, investors, and policymakers. We delve into market dynamics, growth drivers, challenges, and emerging trends, providing a comprehensive forecast from 2025 to 2033, with a historical overview spanning 2019-2024. The report utilizes a base year of 2025 and covers key market segments including metalworking machines, parts & accessories, and services (installation, repair, and maintenance). We analyze end-user industries such as automotive, aerospace & defense, and precision engineering, factoring in the impact of recent M&A activity and regulatory changes. This report is essential for understanding the complexities and growth potential of this critical sector of the U.S. manufacturing landscape. Recent developments include: July 2022: Peterson Tool Company, Inc. ("PTC"), a leading provider of machine-specific custom insert tooling solutions, had the previously announced finalized acquisition of its assets by Sandvik. Custom carbide form inserts are part of the product line and are used mainly in the general engineering and automotive industries for high-production turning and grooving applications. The operation will be referred to as Walter's GWS Tool division, which is a part of the Sandvik Manufacturing and Machining Solutions business area., June 2022: Doosan Machine Tools has declared that, as of June 2, 2022, it would become DN Solutions and reemerge as a provider of complete manufacturing solutions. Doosan Machine Tools' new moniker, DN Solutions, indicates a fresh beginning following its merger with DN Automotive, which took over as its parent business in January 2022. Together, DN Solutions and DN Automotive can maximize production capacities and find new growth engines which have a synergistic effect.. Notable trends are: Increasing demand for domestic machine tools driving the market.

United States PPI: Svcs: SC: PO: EM: Primary Services (PS) data was reported at 160.275 Dec1993=100 in Mar 2025. This stayed constant from the previous number of 160.275 Dec1993=100 for Feb 2025. United States PPI: Svcs: SC: PO: EM: Primary Services (PS) data is updated monthly, averaging 136.900 Dec1993=100 from Dec 1993 (Median) to Mar 2025, with 376 observations. The data reached an all-time high of 160.409 Dec1993=100 in Dec 2024 and a record low of 100.000 Dec1993=100 in Dec 1993. United States PPI: Svcs: SC: PO: EM: Primary Services (PS) 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.I106: Producer Price Index: by Industry: Services: Selected Health Care Industries.

The North American smart factory industry is anticipated to reach a significant valuation by 2033, expanding at a robust CAGR of 9.50% over the forecast period. This growth is primarily driven by the increasing adoption of Industry 4.0 technologies, such as machine vision systems, industrial robotics, control devices, and sensors, which enhance operational efficiency, productivity, and safety. Furthermore, the rising need for automation and digitalization across various end-user industries, such as automotive, semiconductors, oil and gas, and pharmaceuticals, further contribute to the market expansion. Key trends shaping the North American smart factory industry include the integration of artificial intelligence (AI) and machine learning (ML) into factory operations, the adoption of cloud-based solutions for data management and analytics, and the growing emphasis on sustainability and energy efficiency. The industry is also witnessing the emergence of collaborative robots, which work alongside human workers to enhance productivity and reduce risks. Leading companies in the market include Honeywell International Inc., ABB Ltd., Cognex Corporation, Mitsubishi Electric Corporation, and Siemens AG, among others. These players are investing in research and development to offer innovative solutions that meet the evolving needs of end-user industries. Key drivers for this market are: , Growing Adoption of Internet of Things (IoT) Technologies Across the Value Chain; Rising Demand for Energy Efficiency. Potential restraints include: , Huge Capital Investments for Transformations; Vulnerable to Cyber Attacks. Notable trends are: Semiconductor Industry is Observing a Significant Growth.

This table contains 936 series, with data for years 1981 - 2007 (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 items: Canada ...) Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted at annual rates ...) Prices (2 items: 1997 constant dollars; Chained 1997 dollars ...) North American Industry Classification System (NAICS) (312 items: All industries; Agriculture; forestry; fishing and hunting; Crop production; Animal production ...).