Top 10 Source Countries Of International Students in the US 2013

Graph and download economic data for Advance U.S. International Trade in Goods: Exports: Foods, Feeds, & Beverages (AITGEFS) from Jul 2025 to Jul 2025 about beverages, trade, exports, food, goods, and USA.

Quantitative scholars in international relations often draw repeatedly on the same sources of country-year data across a diverse range of projects. The IPE Data Resource seeks to provide a public good to the field by standardizing and merging together variables from 89 IPE data sources into a single dataset, increasing efficiency and reducing the risk of data management errors. Easier access to data both encourages researchers to perform more robustness checks than they otherwise might and makes it easier for teachers of quantitative research methods to assign realistic exercises to their students. This resource will be updated and expanded annually and is available via the Harvard Dataverse Network.

United States Imports: Customs: Goods: Foods, Feeds and Beverages data was reported at 20.648 USD bn in Mar 2025. This records an increase from the previous number of 17.924 USD bn for Feb 2025. United States Imports: Customs: Goods: Foods, Feeds and Beverages data is updated monthly, averaging 5.730 USD bn from Jan 1986 (Median) to Mar 2025, with 471 observations. The data reached an all-time high of 20.648 USD bn in Mar 2025 and a record low of 1.839 USD bn in Jun 1986. United States Imports: Customs: Goods: Foods, Feeds and Beverages 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.JA005: Trade Balance: Census Basis. [COVID-19-IMPACT]

Singapore led the Index of Economic Freedom in 2024, with an index score of 83.5 out of 100. Switzerland, Ireland, Taiwan, and Luxembourg rounded out the top five. Economic Freedom Index In order to calculate the Economic Freedom Index, the source takes 12 different factors into account, including the rule of law, government size, regulatory efficiency, and open markets. All 12 factors are rated on a scale of zero to 100 and are weighted equally. Every country is rated within the Index in order to provide insight into the health and freedom of the global economy. Singapore's economy Singapore is one of the four so-called Asian Tigers, a term used to describe four countries in Asia that saw a booming economic development from the 1950s to the early 1990. Today, the City-State is known for its many skyscrapers, and its economy continue to boom. It has one of the lowest tax-rates in the Asia-Pacific region, and continues to be open towards foreign direct investment (FDI). Moreover, Singapore has one of the highest trade-to-GDP ratios worldwide, underlining its export-oriented economy. Finally, its geographic location has given it a strategic position as a center connecting other countries in the region with the outside world. However, the economic boom has come at a cost, with the city now ranked among the world's most expensive.

The World Top Incomes Database provides statistical information on the shares of top income groups for 30 countries. The construction of this database was possible thanks to the research of over thirty contributing authors. There has been a marked revival of interest in the study of the distribution of top incomes using tax data. Beginning with the research by Thomas Piketty of the long-run distribution of top incomes in France, a succession of studies has constructed top income share time series over the long-run for more than twenty countries to date. These projects have generated a large volume of data, which are intended as a research resource for further analysis. In using data from income tax records, these studies use similar sources and methods as the pioneering work by Kuznets for the United States.The findings of recent research are of added interest, since the new data provide estimates covering nearly all of the twentieth century -a length of time series unusual in economics. In contrast to existing international databases, generally restricted to the post-1970 or post-1980 period, the top income data cover a much longer period, which is important because structural changes in income and wealth distributions often span several decades. The data series is fairly homogenous across countries, annual, long-run, and broken down by income source for several cases. Users should be aware also about their limitations. Firstly, the series measure only top income shares and hence are silent on how inequality evolves elsewhere in the distribution. Secondly, the series are largely concerned with gross incomes before tax. Thirdly, the definition of income and the unit of observation (the individual vs. the family) vary across countries making comparability of levels across countries more difficult. Even within a country, there are breaks in comparability that arise because of changes in tax legislation affecting the definition of income, although most studies try to correct for such changes to create homogenous series. Finally and perhaps most important, the series might be biased because of tax avoidance and tax evasion. The first theme of the research programme is the assembly and analysis of historical evidence from fiscal records on the long-run development of economic inequality. “Long run” is a relative term, and here it means evidence dating back before the Second World War, and extending where possible back into the nineteenth century. The time span is determined by the sources used, which are based on taxes on incomes, earnings, wealth and estates. Perspective on current concerns is provided by the past, but also by comparison with other countries. The second theme of the research programme is that of cross-country comparisons. The research is not limited to OECD countries and will draw on evidence globally. In order to understand the drivers of inequality, it is necessary to consider the sources of economic advantage. The third theme is the analysis of the sources of income, considering separately the roles of earned incomes and property income, and examining the historical and comparative evolution of earned and property income, and their joint distribution. The fourth theme is the long-run trend in the distribution of wealth and its transmission through inheritance. Here again there are rich fiscal data on the passing of estates at death. The top income share series are constructed, in most of the cases presented in this database, using tax statistics (China is an exception; for the time being the estimates come from households surveys). The use of tax data is often regarded by economists with considerable disbelief. These doubts are well justified for at least two reasons. The first is that tax data are collected as part of an administrative process, which is not tailored to the scientists' needs, so that the definition of income, income unit, etc., are not necessarily those that we would have chosen. This causes particular difficulties for comparisons across countries, but also for time-series analysis where there have been substantial changes in the tax system, such as the moves to and from the joint taxation of couples. Secondly, it is obvious that those paying tax have a financial incentive to present their affairs in a way that reduces tax liabilities. There is tax avoidance and tax evasion. The rich, in particular, have a strong incentive to understate their taxable incomes. Those with wealth take steps to ensure that the return comes in the form of asset appreciation, typically taxed at lower rates or not at all. Those with high salaries seek to ensure that part of their remuneration comes in forms, such as fringe benefits or stock-options which receive favorable tax treatment. Both groups may make use of tax havens that allow income to be moved beyond the reach of the national tax net. These shortcomings limit what can be said from tax data, but this does not mean that the data are worthless. Like all economic data, they measure with error the 'true' variable in which we are interested. References Atkinson, Anthony B. and Thomas Piketty (2007). Top Incomes over the Twentieth Century: A Contrast between Continental European and English-Speaking Countries (Volume 1). Oxford: Oxford University Press, 585 pp. Atkinson, Anthony B. and Thomas Piketty (2010). Top Incomes over the Twentieth Century: A Global Perspective (Volume 2). Oxford: Oxford University Press, 776 pp. Atkinson, Anthony B., Thomas Piketty and Emmanuel Saez (2011). Top Incomes in the Long Run of History, Journal of Economic Literature, 49(1), pp. 3-71. Kuznets, Simon (1953). Shares of Upper Income Groups in Income and Savings. New York: National Bureau of Economic Research, 707 pp. Piketty, Thomas (2001). Les Hauts Revenus en France au 20ème siècle. Paris: Grasset, 807 pp. Piketty, Thomas (2003). Income Inequality in France, 1901-1998, Journal of Political Economy, 111(5), pp. 1004-42.

United States - Advance U.S. International Trade in Goods: Exports: Foods, Feeds, & Beverages was 13704.06900 Mil. of $ in June of 2025, according to the United States Federal Reserve. Historically, United States - Advance U.S. International Trade in Goods: Exports: Foods, Feeds, & Beverages reached a record high of 17372.34100 in April of 2022 and a record low of 10160.94100 in July of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Advance U.S. International Trade in Goods: Exports: Foods, Feeds, & Beverages - last updated from the United States Federal Reserve on August of 2025.

United States PPI: Processed Foods and Feeds (Processed Foods) data was reported at 208.100 1982=100 in Jun 2018. This records a decrease from the previous number of 208.600 1982=100 for May 2018. United States PPI: Processed Foods and Feeds (Processed Foods) data is updated monthly, averaging 101.150 1982=100 from Jan 1947 (Median) to Jun 2018, with 858 observations. The data reached an all-time high of 220.200 1982=100 in Sep 2014 and a record low of 31.300 1982=100 in Jan 1950. United States PPI: Processed Foods and Feeds (Processed Foods) data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I017: Producer Price Index: By Commodities.

United States - Advance U.S. International Trade in Goods: Imports: Foods, Feeds, & Beverages was 18139.53800 Mil. of $ in June of 2025, according to the United States Federal Reserve. Historically, United States - Advance U.S. International Trade in Goods: Imports: Foods, Feeds, & Beverages reached a record high of 20032.14700 in January of 2025 and a record low of 11775.13300 in December of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Advance U.S. International Trade in Goods: Imports: Foods, Feeds, & Beverages - last updated from the United States Federal Reserve on September of 2025.

United States - Advance U.S. International Trade in Goods: Exports: Foods, Feeds, & Beverages was 14629.77000 Mil. of $ in March of 2025, according to the United States Federal Reserve. Historically, United States - Advance U.S. International Trade in Goods: Exports: Foods, Feeds, & Beverages reached a record high of 16856.02000 in October of 2021 and a record low of 9348.71300 in June of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Advance U.S. International Trade in Goods: Exports: Foods, Feeds, & Beverages - last updated from the United States Federal Reserve on August of 2025.

Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

Follow data.kapsarc.org for timely data to advance energy economics research.

Data on the top universities for Business and Economics in 2025, including disciplines such as Accounting and Finance, Business Management, and Economics.

Codes and data for replication. Readme PDF files with instructions.

In 2024, no country had a higher foreign direct investment (FDI) position in the United States than Japan, followed by the United Kingdom and Canada. At that time, Japan had over 754 billion U.S. dollars invested in the United States. What is FDI? FDI is an international investment, in this case when a foreign firm or individual invests in a business in the United States. The worldwide value of FDI flows is immense, which is a result of the increasing connectedness of world financial markets. In this statistic, we see countries that are connected to the U.S. for historic and geographic reasons, such as the UK and Canada respectively, investing large sums of money in U.S. enterprises. The countries which received the most FDI from the United States in 2024 were the UK, Netherlands, and Luxembourg. The effects of FDI Foreign direct investment, like any increase in capital, leads to a higher number of jobs. The economy of the target country grows, and the investing country generally earns a good rate of return. Critics of FDI worry that it opens companies to the influence of foreign individuals and firms.

United States CPI W: FB: Food: Home: Others: Other Foods (OF) data was reported at 224.488 1982-1984=100 in Jun 2018. This records an increase from the previous number of 224.285 1982-1984=100 for May 2018. United States CPI W: FB: Food: Home: Others: Other Foods (OF) data is updated monthly, averaging 136.300 1982-1984=100 from Dec 1963 (Median) to Jun 2018, with 655 observations. The data reached an all-time high of 225.355 1982-1984=100 in Apr 2016 and a record low of 35.400 1982-1984=100 in Jan 1966. United States CPI W: FB: Food: Home: Others: Other Foods (OF) data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I012: Consumer Price Index: Urban Wage and Clerical Workers.

United States IPI: sa: ND: Foods data was reported at 113.357 1992=100 in Oct 2002. This records an increase from the previous number of 112.501 1992=100 for Sep 2002. United States IPI: sa: ND: Foods data is updated monthly, averaging 68.424 1992=100 from Jan 1948 (Median) to Oct 2002, with 658 observations. The data reached an all-time high of 114.729 1992=100 in Aug 2000 and a record low of 30.543 1992=100 in Mar 1948. United States IPI: sa: ND: Foods 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.B046: Industrial Production Index: By SIC System.

United States - Advance U.S. International Trade in Goods: Imports: Foods, Feeds, & Beverages was 20639.90400 Mil. of $ in March of 2025, according to the United States Federal Reserve. Historically, United States - Advance U.S. International Trade in Goods: Imports: Foods, Feeds, & Beverages reached a record high of 20639.90400 in March of 2025 and a record low of 11123.70600 in September of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Advance U.S. International Trade in Goods: Imports: Foods, Feeds, & Beverages - last updated from the United States Federal Reserve on July of 2025.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for home economics (foods and nutrition) in the U.S.

United States PPI: Processed Foods: Miscellaneous: Others data was reported at 248.000 1982=100 in Sep 2018. This records an increase from the previous number of 247.600 1982=100 for Aug 2018. United States PPI: Processed Foods: Miscellaneous: Others data is updated monthly, averaging 103.850 1982=100 from Jan 1947 (Median) to Sep 2018, with 860 observations. The data reached an all-time high of 248.000 1982=100 in Sep 2018 and a record low of 29.600 1982=100 in May 1947. United States PPI: Processed Foods: Miscellaneous: Others data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I017: Producer Price Index: By Commodities.

United States PPI: Processed Foods: MP: Unprocessed & Packaged Fish (Fish) data was reported at 329.000 1982=100 in Jun 2018. This records an increase from the previous number of 325.200 1982=100 for May 2018. United States PPI: Processed Foods: MP: Unprocessed & Packaged Fish (Fish) data is updated monthly, averaging 99.800 1982=100 from Jan 1947 (Median) to Jun 2018, with 858 observations. The data reached an all-time high of 393.400 1982=100 in Mar 2018 and a record low of 12.600 1982=100 in May 1947. United States PPI: Processed Foods: MP: Unprocessed & Packaged Fish (Fish) data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I017: Producer Price Index: By Commodities.