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 September of 2025.

These data support a paper examining researcher mobility between China and the United States showing overall growth in mobility between the two nations. A review based upon a scholar’s change of address from China to the United States or vice versa reveals mobility patterns. Between 2009 and 2018, an overall upward trend is noted for incoming scholars from China, as well as upward trends in those returning to China. Within the United States, researchers flow across states, but they are less likely to leave the larger, more R&D-rich states like California, New York, or Massachusetts. Chinese researchers are more likely to locate based upon reputation of research institutions than overall research spending or defense research locations. Mobility has a positive impact on China-U.S. collaboration numbers and citations.

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.

China Exports to United States was US$525.65 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Exports to United States - data, historical chart and statistics - was last updated on September of 2025.

About this dataset

Context

The dataset tabulates the population of China by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for China. The dataset can be utilized to understand the population distribution of China by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in China. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for China.

Key observations

Largest age group (population): Male # 15-19 years (53) | Female # 30-34 years (103). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the China population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the China is shown in the following column.
• Population (Female): The female population in the China is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in China for each age group.

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 China Population by Gender. You can refer the same here

Graph and download economic data for U.S. Imports of Goods by Customs Basis from China (IMPCH) from Jan 1985 to Jul 2025 about China, imports, goods, and USA.

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

CEIC extends history for monthly Total Exports to USA. The General Administration of Customs provides Total Exports to USA, FOB, in USD. Total Exports to USA prior to January 1993 is sourced from the International Monetary Fund.

Key information about China Total Imports from USA

• China Total Imports from USA recorded 15.326 USD bn in Dec 2024, compared with 12.424 USD bn in the previous month
• China Total Imports from USA data is updated monthly, available from Jan 1981 to Dec 2024, with an averaged value of 2.573 USD bn
• The data reached an all-time high of 18.671 USD bn in Jan 2022 and a record low of 139.302 USD mn in Jul 1983

CEIC extends history for monthly Total Imports from USA. General Administration of Customs provides Total Imports from USA, CIF, in USD. According to the Customs: 'Since 2020, the Customs will no longer release separate trade data for January and February.' Data in February are the cumulative figures of January and February. Total Imports from USA prior to January 1993 is sourced from the International Monetary Fund.

This dataset is about books. It has 3 rows and is filtered where the book subjects is Chinese American women-United States-Biography. It features 9 columns including author, publication date, language, and book publisher.

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 September of 2025.

Overview: This dataset provides a comprehensive list of U.S. universities, as identified in current directories, alongside their corresponding names in Chinese. The Chinese names are sourced from 中国留学生大辞典, the CUSDOS dataset, and the MGZF_1944 dataset. However, there is no systematic one-to-one correspondence between the Chinese list and the full directory. Additionally, approximately 25 university names in Chinese remain unidentified. Each university entry includes its city and state, as well as precise geocoordinates (latitude and longitude).

Structure: The dataset consists of the following key columns:

• School_Name_ZhT: The Chinese name of the university (when available).

• School_Name: The English name of the university.

• City: The city where the university is located.

• State: The U.S. state where the university is located.

• Latitude (lat): The geographic latitude coordinate of the university.

• Longitude (lng): The geographic longitude coordinate of the university.

• Univ_Py: The pinyin transliteration of the Chinese university name.

• Country: The country where the university is located (all entries are in the United States).

• Country_ZhT: The country name in Chinese (美國).

• Notes: Additional remarks about the university entry, when applicable.

Purpose & Applications:

• Geospatial Analysis: Enables spatial mapping of U.S. universities for research purposes.

• Historical Data Matching: Facilitates linking historical Chinese records to modern university names.

• Multilingual Standardization: Supports bilingual academic classification and terminology mapping.

• Database Integration: Useful for structuring educational institution datasets in academic and archival research.

Data Quality Considerations:

• Some universities have multiple English names due to variations in Chinese representations.

• Approximately 25 Chinese university names remain unidentified in the dataset.

• The latitude and longitude values are included but should be verified for accuracy in geospatial applications.

• Some entries contain formatting issues due to delimiter inconsistencies and should be processed accordingly.

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.

Comprehensive dataset containing 44,558 verified Chinese restaurant businesses in United States with complete contact information, ratings, reviews, and location data.

SSR's primer selection SSR site primers RUMM017, RUMM018, RUMM020, RUMM021, RUMM032, RUMM034, and RUMM047 were created by Wang et al.[45], and all forward primers had a cac sequence tag (5'- cacgacgttgtaaaacgac -3') and 6-carboxyfluorescein (FAM) added to the 5' end. The PCR products were then delivered to Tsingke Biotechnology Co., Ltd., and electrophoresis was performed using a 3730xl DNA analyzer. Based on the known traits (size range, repeating motifs) of a single microsatellite region, the microsatellites included in the assemblage are chosen. Reaction system: 25 ml of 2X Accurate Taq Master Mix, 15 ml of template DNA and RNase-free water, 1 ml of forward primer, and 1 ml of reverse primer. Reaction conditions: predenaturation at 95 °C for 15 min; denaturation at 94 °C for 30 s; annealing for 1 min 30 s; extension at 72 °C for 1 min 30 s (a total of 35 cycles); and extension at 72 °C for 10 min.

This dataset contains original tweets posted by 3 Chinese media (People's Daily, CGTN Official and Xinhua News) and 3 American media (The New York Times, The Wallstreet Journal and The Washington Post) from the very first tweet to the latest in 2023. The metadata mainly covers their content, url, likes, comments, etc.

The Agricultural Statistics of the People's Republic of China, 1949-1990 is an historical collection of agricultural statistical data compiled by China's State Statistical Bureau (SSB). The collection contains 297 variables covering social and economic indicators, commodities, price index, production, trade, and consumption. The data are provided at the national level (1949-1990) and the provincial level (1979-1990). This data set is produced in collaboration with the United States Department of Agriculture (USDA), SSB, and the Center for International Earth Science Information Network (CIESIN).

What drives mass attitudes toward China? Scholars have written extensively on the political consequences of China’s recent integration into the world economy. Yet we lack causal empirical evidence on the relationship between China’s rising outward investment and perceptions toward China. I exploit foreign direct investment (FDI)’s agglomeration tendency to identify the effect of Chinese FDI on American views of China as a threat. I show that the announcement of Chinese greenfield FDI projects lessens concerns about China due to economic sociotropic considerations: Chinese greenfield FDI is believed to generate economic benefits broadcast to the public by the local news media. By contrast, Chinese takeovers of American companies, which do not stimulate the labor market, are not associated with a decline in threat perceptions. Findings are robust to controls for other political and economic conditions such as trade shocks from China and are mediated by respondents’ attachment to national identity.

Imports from China in the United States decreased to 31894.80 USD Million in February from 35793.58 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports from China.

According to a survey conducted in December 2022 among voters in the United States, over half of the respondents reported they would support a ban or congressional restrictions onto Chinese-based social media platforms. Only ** percent of respondents reported they would oppose legislative actions against Chinese-based platforms.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in China. Power Plant emissions from all power plants in China were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/47