United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

United States US: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 41.166 % in 2015. This stayed constant from the previous number of 41.166 % for 2014. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 49.199 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 51.786 % in 1998 and a record low of 38.398 % in 1996. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

The United States gross domestic product (GDP) was forecast to reach over 30.1 trillion U.S. dollars in 2025. Furthermore, by 2035, it is expected to surpass 43.9 trillion U.S. dollars. GDP refers to the market value of all final goods and services produced within a country in a given period.

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Information: Total Assets (QFR223INFUSNO) from Q4 2009 to Q2 2025 about information, finance, corporate, assets, industry, and USA.

Merchandise exports by the reporting economy (current US$) in North America was reported at 1821758937478 USD in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. North America - Merchandise exports by the reporting economy - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

United States US: GDP: USD: Gross National Income data was reported at 19,607.598 USD bn in 2017. This records an increase from the previous number of 18,968.714 USD bn for 2016. United States US: GDP: USD: Gross National Income data is updated yearly, averaging 5,447.032 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 19,607.598 USD bn in 2017 and a record low of 546.400 USD bn in 1960. United States US: GDP: USD: Gross National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

The 2010 Congressional Report provides results for 70 ANA projects that ended in 2010. The report includes a brief summary of each project visited and an analysis of how ANA funding has impacted Native American communities.

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.

United States US: GDP: PPP data was reported at 19,390,604.000 Intl $ mn in 2017. This records an increase from the previous number of 18,624,475.000 Intl $ mn for 2016. United States US: GDP: PPP data is updated yearly, averaging 11,892,799.000 Intl $ mn from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 19,390,604.000 Intl $ mn in 2017 and a record low of 5,979,589.000 Intl $ mn in 1990. United States US: GDP: PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current international dollars. For most economies PPP figures are extrapolated from the 2011 International Comparison Program (ICP) benchmark estimates or imputed using a statistical model based on the 2011 ICP. For 47 high- and upper middle-income economies conversion factors are provided by Eurostat and the Organisation for Economic Co-operation and Development (OECD).; ; World Bank, International Comparison Program database.; Gap-filled total;

Graph and download economic data for U.S.-Chartered Depository Institutions; Corporate and Foreign Bonds; Asset (Call Report), Transactions (BOGZ1FU763063003A) from 1946 to 2024 about U.S.-chartered, foreign, transactions, bonds, assets, and USA.

Graph and download economic data for International Banking Facilities of U.S.-Chartered Depository Institutions; Total Liabilities (Call Report), Level (BOGZ1FL274190273Q) from Q4 1945 to Q2 2025 about U.S.-chartered, liabilities, banks, depository institutions, and USA.

Despite an initially strong pace of recovery, the economy is a long way from pre-pandemic levels and several threats loom as Q4 approaches.

Actual value and historical data chart for Australia Merchandise Exports By The Reporting Economy Us Dollar

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Economy. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Economy, the median income for all workers aged 15 years and older, regardless of work hours, was $40,197 for males and $22,500 for females.

These income figures highlight a substantial gender-based income gap in Economy. Women, regardless of work hours, earn 56 cents for each dollar earned by men. This significant gender pay gap, approximately 44%, underscores concerning gender-based income inequality in the town of Economy.

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.18 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Economy median household income by race. You can refer the same here

The North American trade finance market, currently experiencing robust growth, is projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 7.5% from 2025 to 2033. This expansion is fueled by several key factors. Increased cross-border trade, particularly within the North American Free Trade Agreement (USMCA) region, fuels demand for efficient and secure financial instruments like Letters of Credit and Bank Guarantees. The rising adoption of digital trade finance solutions, streamlining processes and reducing transaction costs, is another significant driver. Furthermore, the expanding e-commerce sector necessitates sophisticated trade finance mechanisms to manage international transactions effectively. Growth within specific segments, such as documentary credit and services offered by major banks, contributes significantly to the overall market expansion. While regulatory changes and economic fluctuations can pose challenges, the inherent demand for trade finance within a dynamic North American economy is expected to outweigh these restraints. The market's segmentation reveals a diverse landscape. Documentary trade finance, encompassing Letters of Credit and Bank Guarantees, dominates, reflecting a preference for secure transactions, especially in international trade. However, the non-documentary segment is also showing promising growth, driven by the increasing use of technology and trust-based relationships in established trade partnerships. Major banks like Bank of America, Citigroup, and JPMorgan Chase hold significant market share, leveraging their established networks and financial strength. However, specialized trade finance companies and insurance providers are also carving a niche for themselves, offering tailored solutions and innovative risk management strategies. Geographic distribution within North America shows a concentration in the US market due to its larger economy and extensive international trade activities. Canada and Mexico represent significant but smaller markets, experiencing steady growth aligned with their economic activity and trade relationships with the US. This insightful report provides a detailed analysis of the North America trade finance market, encompassing the period from 2019 to 2033. With a base year of 2025 and an estimated year of 2025, this comprehensive study offers valuable insights into market size (in millions), growth drivers, challenges, and future trends. The report utilizes data from the historical period (2019-2024) and forecasts market performance from 2025 to 2033, offering a complete picture for investors, businesses, and stakeholders within the trade finance sector. Key players such as Bank of America Corporation, BNP Paribas S A, Citi group Inc, Commerzbank, HSBC, Wells Fargo, JPMorgan Chase & Co, Mitsubishi UFJ Financial Inc, Santander Bank, Scotiabank, and Standard Chartered Bank are profiled, though the list is not exhaustive. Recent developments include: December 2022: Komgo acquired U.S.-based GlobalTrade Corporation. The two companies provide trade finance digitization solutions to over 120 multinational clients, helping them connect to sources of financing., November 2021: Ripple announced the launch of Ripple Liquidity Hub for US banks and fintech firms, which allows users to invest in and trade cryptocurrencies.. Notable trends are: Technology Implementation in Trade Finance Platforms Makes Way for Startups.

United States BoP: OSCA: CA: Imports of Goods, Services & Income data was reported at 28.751 USD bn in Mar 2018. This records an increase from the previous number of 26.461 USD bn for Dec 2017. United States BoP: OSCA: CA: Imports of Goods, Services & Income data is updated quarterly, averaging 22.649 USD bn from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 29.708 USD bn in Mar 2014 and a record low of 11.576 USD bn in Jun 2003. United States BoP: OSCA: CA: Imports of Goods, Services & Income 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.JB007: Balance of Payments: BPM6: Latin America and Other Western Hemisphere.

This dataset, identified by the series ID RSXFS, is sourced from the U.S. Census Bureau and is available through the Federal Reserve Economic Data (FRED) system of the St. Louis Fed. It provides a monthly measure of retail sales across the United States. The data represents the total value of sales at retail and food services stores, measured in millions of dollars and adjusted for seasonal variations. It is important to note that the most recent month's value is an advance estimate, which is subject to revision in subsequent months as more comprehensive data becomes available. As a key economic indicator, this series is widely used by economists and analysts to gauge consumer spending and assess the overall health of the U.S. economy.

Suggested Use Cases: - This dataset is highly valuable for economic analysis and can be used to: - Conduct time series analysis and modeling. - Track consumer spending patterns. - Forecast future retail sales. - Analyze the impact of economic events on the retail sector.

License The RSXFS dataset is sourced from the U.S. Census Bureau and is considered Public Domain: Citation Requested. This means the data is freely available for use, but you must cite the source and acknowledge that the data was obtained from FRED. If you plan on using any copyrighted series from other data providers on FRED for commercial purposes, you would need to contact the original data owner for permission.

Data Fields: The dataset primarily contains two columns: - observation_date: The date of the monthly data point, recorded as the first day of each month from January 1992 to July 2025. - RSXFS: The value of advance retail sales in millions of dollars.

Citation and Provenance:
Source: U.S. Census Bureau
Release: Advance Monthly Sales for Retail and Food Services
FRED Link: https://fred.stlouisfed.org/series/RSXFS
Citation: U.S. Census Bureau, Advance Retail Sales: Retail Trade [RSXFS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/RSXFS, September 8, 2025.

United States US: Government Effectiveness: Estimate data was reported at 1.554 NA in 2017. This records an increase from the previous number of 1.477 NA for 2016. United States US: Government Effectiveness: Estimate data is updated yearly, averaging 1.554 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 1.803 NA in 2000 and a record low of 1.464 NA in 2015. United States US: Government Effectiveness: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WGI: Country Governance Indicators. Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.