5G will contribute a total of over *** trillion U.S. dollars to gross domestic product (GDP) in the United States (U.S.) from 2021 to 2025. 5G will have the largest impact in California, with 5G expected to make an economic contribution of ***** billion U.S. dollars. New York is ranked second with ***** billion U.S. dollars, followed by Texas, which will add ***** billion U.S. dollars to the U.S. GDP from 5G.

In 2022, the overall economic impact of direct selling activities in the United States was estimated at more than *** billion U.S. dollars. The direct effects, which include income as well as directly related jobs coming into the economy, accounted for over a third of the total economic impact of direct selling activities in the country.

Every five years, the U.S. Census Bureau collects extensive statistics about businesses that are essential to understanding the economy of American Samoa, Commonwealth of Northern Mariana Islands, Guam, Virgin Islands, and Puerto Rico. This official count, as part of the Economic Census of Island Areas, serves as the foundation for the measurement of Island Areas businesses and their economic impact.

The private equity sector in the United States is estimated to have contributed to the country's gross domestic product (GDP) with ************ U.S. dollars - or approximately ***** percent of the total in 2024. Also, private equity-backed businesses employ over ** million people, with employee earnings amounting to over ************ U.S. dollars.

On November 30, 2018, Canada, the United States and Mexico signed a Protocol to modernize the North American Free Trade Agreement (NAFTA). The new Agreement is known in Canada as the Canada-United States-Mexico Agreement (CUSMA, or the Agreement).Footnote1 Subsequently, on December 10, 2019, the parties signed a Protocol of Amendment to modify certain elements of the new Agreement in the areas of state-tostate dispute settlement, labour, environment, intellectual property and rules of origin. The final CUSMA outcome preserves key elements of NAFTA, modernizes disciplines to address modern trade challenges, reduces red tape at the border, and provides enhanced predictability and stability for workers and businesses across the integrated North American market. Overall, the modernization of NAFTA marks an important milestone in Canada’s economic relationship with the United States and Mexico.

The Office of Economic Impact and Diversity develops and executes Department-wide policies to implement applicable legislation and Executive Orders that strengthen diversity goals affecting equal employment opportunities, small and disadvantaged businesses, minority educational institutions, and historically underrepresented communities.

Our mission is to identify and implement ways of ensuring that minorities are afforded an opportunity to participate fully in the energy programs of the Department. We encourage partnership opportunities with Minority Serving Institutions (Historically Black Colleges and Universities, Hispanic Serving Institutions, Asian American, Native American, and Pacific Islander Institutions, and Tribal Colleges and Universities) and other minority-owned and serving entities on our mission-critical work.

We serve as a strong advocate for equal employment opportunities, civil rights concerns, and non-discriminatory practices at the Department. In addition, the Office of Economic Impact and Diversity is charged with creating and sustaining a high performing, inclusive workforce by leveraging diversity and empowering all employees to achieve superior results in the service of our Nation.

Our office measures success in its effectiveness in aiding the disadvantaged in finding opportunities at the Department of Energy and in other Federal programs. Through extensive research and close partnerships, we have been able to specifically target barriers to minorities and execute strategies to overcome them. The Office of Economic Impact and Diversity is a model of how diversity positively impacts the Energy Department and provides a unique, cutting-edge quality to the Department.

Economic Optimism Index in the United States increased to 47.90 points in December from 43.90 points in November of 2025. This dataset provides the latest reported value for - United States IBD/TIPP Economic Optimism Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Government social benefits: Economic affairs (G170331A027NBEA) from 1959 to 2023 about economic affairs, benefits, government, GDP, and USA.

The American Economic Review Impact Factor 2024-2025 - ResearchHelpDesk - The American Economic Review is a general-interest economics journal. Established in 1911, the AER is among the nation's oldest and most respected scholarly journals in the economics profession and is celebrating over 100 years of publishing. The May issue of the American Economic Review each year is known as "Papers and Proceedings". Selected papers and discussions of papers presented at the Annual Meetings of the American Economic Association are published along with reports of officers, committees, and representatives. The journal publishes 12 issues containing articles on a broad range of topics.

The sports events industry in the United States had a direct economic impact of over ** billion U.S. dollars in 2024. Meanwhile, the industry also generated an estimated *** billion U.S. dollars in taxes that year.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

Data for "By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States", published March 2024. The datasets show cases by state, fips code, case status, sex, age (by 5-year increments), and frequency. Citation information for this dataset can be found in Data.gov's References section.

Supplementary data files, figures, tables, and a list of R code used in analyses. These data, figures, and tables relate to the article entitled "Non-native scale insects (Hemiptera: Coccomorpha) of the United States and their impact on U.S. agriculture" by SA Schneider and EC Powell.The article provides an update on the non-native species of scale insects that have been introduced to the continental United States including: the species involved, their host associations, pest status, introduction rates, invasion pathways, and estimates their economic impact on U.S. agriculture. The study evaluates information about non-native scale insect species in the U.S. to address the following questions. (1) Where have non-native species in the United States originated from and have trends in the region of origin changed over time? (2) Where are new species entering and establishing in the United States? (3) Are scale insect introduction rates tied to the volume of horticultural imports? (4) What are the major hosts and commodity groups impacted or at risk? And (5) what is the economic impact of invasive scale insects on U.S. agriculture?Table S1: A full list of scale insects known to occur in the continental United States with notes and justifications for species excluded from Table 1.Table S2: Trend calculations for species introductions relative to peak period (1900-09) and for quantity of horticultural imports to the US since 1967. Calculates trend in number of species introductions per decade relative to peak (1900-1909) for Florida, California, USA total. Calculates trend in quantity of horticultural imports to US since 1967.Table S3: Cost estimate calculations. S3.1: Expected cost of scale insects on ornamentals nationally using average cost per pest and state distribution data for serious pests from ScaleNet. S3.2: International costs reported in primary literature sources and web resources.Table S4: Quarantine interception count data for insects by taxon from USDA APHIS PPQ (2021–2023). Scale insects comprise 12% of total lots taken in quarantine.Fig. S1: Summary of a Kruskal-Wallis test and Dunn post-hoc comparisons to assess trends for region of origin of non-native species over time. Analyses were conducted using the R package ggstatsplot.Fig. S2: Summary of changepoint analysis for the number of non-native species detected per year from 1865–2025. Significant changepoints on the curve of total introduced species reported per year occurred in 1878, 1880, 1894, and 1925; the first three dates correspond to an increase in slope and the fourth a decline. Analyses were conducted using the R packages changepoint and ggplot2.Comma-separated values (.csv) files contain individual datasets used for analyses and the corresponding code for analyses is included in the file "code for analyses.pdf".

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

Sectoral impact modeling data upon which the climate damage functions are based. See main paper and supplemental material for additional detail and metadata. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Graph and download economic data for State Unemployment Benefits in the District of Columbia (DCOBEN) from Q1 1948 to Q2 2025 about DC, benefits, unemployment, and USA.

United States SB: RI: COVID-19 Impact: Little or Number Effect data was reported at 25.900 % in 11 Apr 2022. This records an increase from the previous number of 22.700 % for 04 Apr 2022. United States SB: RI: COVID-19 Impact: Little or Number Effect data is updated weekly, averaging 22.800 % from Nov 2021 (Median) to 11 Apr 2022, with 17 observations. The data reached an all-time high of 34.600 % in 15 Nov 2021 and a record low of 15.600 % in 21 Feb 2022. United States SB: RI: COVID-19 Impact: Little or Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

United States Impact of COVID-19 on Travel Plans: Changed Trip from Intl to Dom data was reported at 19.000 % in Feb 2023. This stayed constant from the previous number of 19.000 % for Jan 2023. United States Impact of COVID-19 on Travel Plans: Changed Trip from Intl to Dom data is updated monthly, averaging 21.500 % from May 2022 (Median) to Feb 2023, with 10 observations. The data reached an all-time high of 26.000 % in Jun 2022 and a record low of 19.000 % in Feb 2023. United States Impact of COVID-19 on Travel Plans: Changed Trip from Intl to Dom data remains active status in CEIC and is reported by Longwoods International. The data is categorized under Global Database’s United States – Table US.Q010: Travel Sentiment. [COVID-19-IMPACT]

This paper studies the impact of immigration to the United States on the vote share for the Republican Party using county-level data from 1990 to 2016. Our main contribution is to show that an increase in high-skilled immigrants decreases the share of Republican votes, while an inflow of low-skilled immigrants increases it. These effects are mainly due to the indirect impact on existing citizens' votes and this is independent of the origin country and race of immigrants. We find that the political effect of immigration is heterogeneous across counties and depends on their skill level, public spending and non-economic characteristics.

Data and code for peer-reviewed article published in American Economic Journal: Applied Economics. When citing this dataset, please also cite the associated article. A sample Publication Citation is provided below.