Colleges and universities in the United States are still a popular study destination for Chinese students, with around 277 thousand choosing to take courses there in the 2023/24 academic year. Although numbers were heavily affected by the coronavirus pandemic, China is still the leading source of international students in the U.S. education market, accounting for 24.6 percent of all incoming students. The education exodus Mathematics and computer science courses led the field in terms of what Chinese students were studying in the United States, followed by engineering and business & management programs. The vast majority of Chinese students were self-funded, wth the remainder receiving state-funding to complete their overseas studies. Tuition fees can run into the tens of thousands of U.S. dollars, as foreign students usually pay out-of-state tuition fees. What about the local situation? Although studying abroad attracts many Chinese students, the country itself boasts the largest state-run education system in the world. With modernization of the national tertiary education system being a top priority for the Chinese government, the country has seen a significant increase in the number of local universities over the last decade. Enrolments in these universities exceeded 37 million in 2023, and a record of more than ten million students graduated in the same year, indicating that China's education market is still expanding.

The number of Chinese students going abroad for study reached ******* in 2024, roughly the same figure as in 2019. The number of students going overseas had fallen to only 451,000 in 2020 due to the Coronavirus pandemic and it took four years to recover to the previous level again. Motivations for overseas study In China, some of the best universities are public universities which get most of their support from the government. Although the number of institutions for higher education and students enrolled in universities inside China have increased significantly in the last few years, the pathways to gaining admission to good universities are still limited. For most people, the national exam “Gaokao” remains the only way to enter a good public university. Therefore, there are students studying abroad to avoid the national exam and to gain admission to a better ranked university. For some study programs, overseas institutions are better equipped and can provide more international academic environment. These qualities attract a lot of Chinese scholars. People who have studied abroad are considered to have a global insight and better language skills, which makes them more competitive in China’s recruitment market. Financing for overseas study Developed countries and regions are still the most popular destinations for Chinese students studying abroad. In some countries, Chinese students have already become an important funding source for their local universities. English-speaking countries including the United States, the United Kingdom and Australia are the leading destinations among them. The United States have since long attracted the largest share of Chinese students, but in recent years more and more Chinese students preferred to study in the United Kingdom instead. However, since students studying abroad are not all from extremely wealthy families, non-English speaking countries where the universities charge less in tuition fees are becoming increasingly popular. While most students from China were self-funded, relying on their parents' support, the number of students who were state scholarship recipients had been increasing over the years.

The main content of this dataset includes the gender ratio of overseas Chinese students graduating from college in various years.

This dataset is about book subjects. It has 8 rows and is filtered where the books is Chinese student migration and selective citizenship : mobility, community and identity between China and the United States. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This series of 11 datasets is drawn from Rhoads, Edward J. M. Stepping Forth into the World: The Chinese Educational Mission to the United States, 1872-81. Hong Kong University Press, 2011.

They document the 120 young Chinese who participated in the pioneering Chinese Educational Mission (CEM) in the United States (1872-1881). The first 8 files are drawn directly from the tables in Rhoads:

Table 2.1 CEM students, by detachment (p.14-17)

Table 5.1. Initial host family assignments (p.51-54)

Table 7.1. CEM students in middle schools (by state and locality) (p. 90-94)

Table 7.2 CEM students in public high schools (by state and locality) (p.96-99)

Table 7.3 CEM students in private academies (by state and locality) (p.99-100)

Table 8.1 CEM students in colleges (by academic year of enrollment) (p.116-118)

Table 9.1 Deaths, dismissals, and withdrawals from the CEM (by date) (p.136)

Table 9.2 CEM students in the June 1880 census (p.138-142)

Based on these tables, I created three synthetic datasets which can be used for statistical and network analyses:

cem_attributes: students' vital attributes, including their multiple names and transliteration, date and place of birth, and other attribute data (one row for each individual).

cem_host: students' host families in the United States

cem_education: students' educational curricula

Each file contains two tabs, one for the data (data), one for the description of variables (key). Grey columns refer to the unstructured information given in the original source.

This dataset is about books. It has 1 row and is filtered where the book is Languaging myths and realities : journeys of Chinese international students. It features 4 columns: author, book publisher, and BNB id.

This dataset contains information from Study 1 and Study 2 for this project including interviews, journal transcriptions, audio recordings, Excel & SPSS Output. Study 1 relates to the first part of this mixed-methods study, i.e. quantitative data analysis component including audio recordings, Excel and SPSS output, which investigated the cross-cultural adaptation (CCA) experiences of Chinese international students (CIS) studying in Australia. Data collection for the quantitative component took place during the Autumn semester (February to April) of 2015, whereby 133 CIS from the same university in the Sydney metropolitan area participated in this study (whereby the was 30 partial completions and 103 fully completed responses). The dataset comprised of SPSS Data (with corresponding pdf printoout) regarding Chinese students' L2 motivation, identity change, academic & sociocultural adjustment obtained from main Excel dataset. There was also audio recordings as well as a an excel spreadsheet of a modified Myers-Briggs responses from Study 2, i.e., the qualitative study, which was added as raw data, whereby the interview transcriptions of the audio recordings is found in the dataset for Study 2. Attached data is from Study 2, i.e., the qualitative component, of the mixed methods study investigating the cross-cultural adaptation (CCA) experiences of Chinese international students (CIS) in Australia. The data collection for this component of the study was conducted between 2017 to 2019, and involved 15 CIS who resided in mainland China who embarked on their first year residing and studying in Australia. These participants came from the same university in the Sydney metropolitan area. The dataset comprises of the interviews (derived from audio recordings) and diary journal entries of their CCA experiences as part of this short-term (3-month) longitudinal study. The dataset contains sensitive data that cannot be published. To discuss the data, please contact Dennis Lam 11165141@student.westernsydney.edu.au ORCID 0000-0002-7199-4378

China Exports to United States was US$501.22 Billion during 2023, according to the United Nations COMTRADE database on international trade. China Exports to United States - data, historical chart and statistics - was last updated on May of 2025.

Key information about China Total Exports to USA

• China Total Exports to USA recorded 48.830 USD bn in Dec 2024, compared with 47.309 USD bn in the previous Nov 2024
• China Total Exports to USA data is updated monthly, available from Jan 1981 to Dec 2024, with an averaged value of 6.676 USD bn
• The data reached an all-time high of 57.397 USD bn in Sep 2021 and a record low of 78.416 USD mn in Feb 1981

China Imports from United States was US$164.59 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Imports from United States - data, historical chart and statistics - was last updated on June of 2025.

This table presents the bilingual typology of academic disciplines used in the Modern China Biographical Database. It is based mainly on the typology created by Yuan T'ung-li in his three bibliographical volumes about the doctoral dissertations by Chinese students in the United States, the United Kingdom, and continental Europe. We adapted this typology to include other disciplines that were present in historical sources.

Dataset Description: Typology of Disciplines (Level 2)

Overview: This dataset provides a bilingual typology of academic disciplines, specifically focusing on Level 2 classifications. The terms are extracted from various Chinese sources, with English translations provided. It is structured hierarchically, connecting each Level 2 discipline to broader categories (Level 1 and Level 0), facilitating multilingual academic classification.

Structure: The dataset consists of the following key columns:

Level 2 Discipline (English & Chinese): The specific sub-discipline classification.

Level 1 Discipline (English & Chinese): A broader category that groups multiple Level 2 disciplines.

Level 0 Discipline (English & Chinese): The highest-level classification representing major academic domains.

Level 1 Code: A numerical or coded identifier for Level 1 disciplines, supporting structured data processing.

Purpose & Applications:

Hierarchical Classification: Enables structured categorization of academic fields across multiple levels.

Multilingual Standardization: Supports bilingual terminology consistency in academic and research contexts.

Main sources:

Yuan, T’ung-li. A Guide to Doctoral Dissertations by Chinese Students in America, 1905-1960. Washington, D.C.: Published under the auspices of the Sino-American Cultural Society, 1961.

———. A Guide to Doctoral Dissertations by Chinese Students in Continental Europe, 1907-1962. S.l., 1964.

———. Doctoral dissertations by Chinese students in Great Britain and Northern Ireland, 1916-1961. Uden sted og forlag, 1963.

China Import hs: USA: Machinery & Mechanical Appliance; Electrical Eq; Part thereof; Sound Recorder & Reproducer, Television Image & Part & Accessory of such Article (ME) data was reported at 3.324 USD bn in Jun 2018. This records a decrease from the previous number of 3.350 USD bn for May 2018. China Import hs: USA: Machinery & Mechanical Appliance; Electrical Eq; Part thereof; Sound Recorder & Reproducer, Television Image & Part & Accessory of such Article (ME) data is updated monthly, averaging 1.429 USD bn from Jan 1993 (Median) to Jun 2018, with 306 observations. The data reached an all-time high of 4.779 USD bn in Mar 2013 and a record low of 79.350 USD mn in Jan 1993. China Import hs: USA: Machinery & Mechanical Appliance; Electrical Eq; Part thereof; Sound Recorder & Reproducer, Television Image & Part & Accessory of such Article (ME) data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under Global Database’s China – Table CN.JA: Trade by HS Classification: North America: USA.

In the academic year of 2022/32, more than ******* Chinese students were studying in the United Kingdom. The number of Chinese students studying in British higher education institutions increased by more than ** percent in the last decade. An attractive destination for Chinese students In recent years, the United Kingdom has overtaken the United States as the top choice among the destination countries for Chinese prospective students. The more affordable tuition fees in the country compared to destinations such as the United States and Australia, the shorter duration of the postgraduate programs, and the reputation of British universities as seen in international rankings have all contributed to the high popularity of the United Kingdom among Chinese students and employers. The diversification of international study destinations At the same time, destinations for Chinese students have become more diverse. The high academic and research performance of the United States in many sectors continues to make it a desirable destination for affluent Chinese students. For students from middle-class or less well-off backgrounds, studying in places such as Japan, Germany, and France are more practical options as these countries offer more affordable programs.

This data package includes the PIIE dataset to replicate the data and charts presented in The rise of US economic sanctions on China: Analysis of a new PIIE dataset by Martin Chorzempa, Mary E. Lovely, and Christine Wan, PIIE Policy Brief 24-14.

If you use the dataset, please cite as: Chorzempa, Martin, Mary E. Lovely, and Christine Wan. 2024. The rise of US economic sanctions on China: Analysis of a new PIIE dataset, PIIE Policy Brief 24-14. Washington, DC: Peterson Institute for International Economics.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: Not identified - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes (collective households)

UNIT DESCRIPTIONS: - Dwellings: Not applicable - Households: Domestic household: A group of individuals who are either relatives or non-relatives, live in one residential unit and are registerered as one household. Collective household: A group of individuals who live in the same dormitory in a college (or school) or in the same living quarters for staff and workers in a factory or other organization. - Group quarters: Unknown

Universe

All individuals who have Chinese nationality and reside in China, personnel of embassies, consulates and other missions in foreign countries and staff, experts, students and trainees abroad.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Bureau of Statistics

SAMPLE DESIGN: Systematic sample

SAMPLE UNIT: Households

SAMPLE FRACTION: 1%

SAMPLE SIZE (person records): 10,039,191

Mode of data collection

Face-to-face [f2f]

Research instrument

A single questionnaire for regular and collective households.

This dataset provides restaurant inspections, violations, grades and adjudication information

United States Imports from China was US$462.62 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from China - data, historical chart and statistics - was last updated on June of 2025.

Higher education plays a critical role in driving an innovative economy by equipping students with knowledge and skills demanded by the workforce.While researchers and practitioners have developed data systems to track detailed occupational skills, such as those established by the U.S. Department of Labor (DOL), much less effort has been made to document which of these skills are being developed in higher education at a similar granularity.Here, we fill this gap by presenting Course-Skill Atlas -- a longitudinal dataset of skills inferred from over three million course syllabi taught at nearly three thousand U.S. higher education institutions. To construct Course-Skill Atlas, we apply natural language processing to quantify the alignment between course syllabi and detailed workplace activities (DWAs) used by the DOL to describe occupations. We then aggregate these alignment scores to create skill profiles for institutions and academic majors. Our dataset offers a large-scale representation of college education's role in preparing students for the labor market.Overall, Course-Skill Atlas can enable new research on the source of skills in the context of workforce development and provide actionable insights for shaping the future of higher education to meet evolving labor demands, especially in the face of new technologies.

Graph and download economic data for Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate (DEXCHUS) from 1981-01-02 to 2025-06-20 about China, exchange rate, currency, rate, and USA.

CHCP Overview:The human behavior and brain are shaped by genetic, environmental and cultural interactions. Recent advances in neuroimaging integrate multimodal imaging data from a large population and start to explore the large-scale structural and functional connectomic architectures of the human brain. One of the major pioneers is the Human Connectome Project (HCP) that developed sophisticated imaging protocols and has built a collection of high-quality multimodal neuroimaging, behavioral and genetic data from US population. A large-scale neuroimaging project parallel to the HCP, but with a focus on the East Asian population, will allow comparisons of brain-behavior associations across different ethnicities and cultures. The Chinese Human Connectome Project (CHCP) is launched in 2017 and led by Professor Jia-Hong GAO at Peking University, Beijing, China. CHCP aims to provide large sets of multimodal neuroimaging, behavioral and genetic data on the Chinese population that are comparable to the data of the HCP. The CHCP protocols were almost identical to those of the HCP, including the procedure for 3T MRI scanning, the data acquisition parameters, and the task paradigms for functional brain imaging. The CHCP also collected behavioral and genetic data that were compatible with the HCP dataset. The first public release of the CHCP dataset is in 2022. CHCP dataset includes high-resolution structural MR images (T1W and T2W), resting-state fMRI (rfMRI), task fMRI (tfMRI), and high angular resolution diffusion MR images (dMRI) of the human brain as well as behavioral data based on Chinese population. The unprocessed "raw" images of CHCP dataset (about 1.85 TB) have been released on the platform and can be downloaded. Considering our current cloud-storage service, sharing full preprocessed images (up to 70 TB) requires further construction. We will be actively cooperating with researchers who contact us for academic request, offering case-by-case solution to access the preprocessed data in a timely manner, such as by mailing hard disks or a third-party trusted cloud-storage service. V2 Release (Date: January 16, 2023):Here, we released the seven major domains task fMRI EVs files, including: 1) visual, motion, somatosensory, and motor systems; 2) category specific representations; 3) working memory/cognitive control systems; 4) language processing (semantic and phonological processing); 5) social cognition (Theory of Mind); 6) relational processing; and 7) emotion processing.V3 Release (Date: January 12, 2024):This version of data release primarily discloses the CHCP raw MRI dataset that underwent “HCP minimal preprocessing pipeline”, located in CHCP_ScienceDB_preproc folder (about 6.90 TB). In this folder, preprocessed MRI data includes T1W, T2W, rfMRI, tfMRI, and dMRI modalities for all young adulthood participants, as well as partial results for middle-aged and older adulthood participants in the CHCP dataset. Following the data sharing strategy of the HCP, we have eliminated some redundant preprocessed data, resulting in a final total size of the preprocessed CHCP dataset is about 6.90 TB in zip files. V4 Release (Date: December 4, 2024):In this update, we have fixed the issue with the corrupted compressed file of preprocessed data for subject 3011, and removed the incorrect preprocessed results for subject 3090. Additionally, we have updated the subject file information list. Additionally, this release includes the update of unprocessed "raw" images of the CHCP dataset in CHCP_ScienceDB_unpreproc folder (about 1.85 TB), addressing the previously insufficient anonymization of T1W and T2W modalities data for some older adulthood participants in versions V1 and V2. For more detailed information, please refer to the data descriptions in versions V1 and V2.CHCP Summary:Subjects:366 healthy adults (Chinese Han)Imaging Scanner:3T MR (Siemens Prisma)Institution:Peking University, Beijing, ChinaFunding Agencies:Beijing Municipal Science & Technology CommissionChinese Institute for Brain Research (Beijing)National Natural Science Foundation of ChinaMinistry of Science and Technology of China CHCP Citations:Papers, book chapters, books, posters, oral presentations, and all other printed and digital presentations of results derived from CHCP data should contain the following wording in the acknowledgments section: "Data were provided [in part] by the Chinese Human Connectome Project (CHCP, PI: Jia-Hong Gao) funded by the Beijing Municipal Science & Technology Commission, Chinese Institute for Brain Research (Beijing), National Natural Science Foundation of China, and the Ministry of Science and Technology of China."